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MHC class II (MHC-II) deficiency is a rare inborn error of immunity caused by defects in transcriptional regulators of MHC-II expression. In this study, we characterized the clinical, immunological, and molecular features of 107 patients from 98 unrelated Algerian families. Median ages at symptom onset and diagnosis were 5 and 14 mo, respectively, with pneumonia (82%) and chronic diarrhea (73%) predominating. CD4+ T cell lymphopenia occurred in 87.6% and naïve CD4+ T cell depletion in 86.0%. Among 99 genetically characterized patients, variants were identified exclusively in RFXANK (77.8%) and RFXAP (22.2%), including two predominant mutations (RFXANK c.338-25_338del and RFXAP c.368del) and four novel variants. Exploratory comparisons suggested a more severe phenotype in patients carrying RFXAP c.368del than in those carrying RFXANK c.338-25_338del. Five of seven transplanted patients survived versus 33.3% of non-transplanted patients. As the largest MHC-II deficiency cohort reported to date, this study substantially expands current knowledge of the disease and supports targeted genetic diagnosis in North African populations.

MHC class II (MHC-II) deficiency is a rare autosomal recessive inborn error of immunity (IEI) first described in the 1980s (1, 2, 3). Although cases from diverse ethnic backgrounds have been reported worldwide, a marked predominance is observed in the Middle East and North Africa (MENA), where more than 700 patients have been reported (4). Notably, a particularly high frequency is observed in the Maghreb region (Algeria, Morocco, and Tunisia) (5, 6, 7, 8, 9), likely reflecting regional founder effects and high rates of consanguinity.

The molecular basis of MHC-II deficiency involves pathogenic variants affecting one of the four genes that encode transcriptional regulators required for MHC-II expression: regulatory factor X–associated protein containing ankyrin repeat (RFXANK), regulatory factor X-5 (RFX5), regulatory factor–associated protein (RFXAP), and class II trans-activator (CIITA) (10). These defects lead to absent or markedly reduced MHC-II expression on antigen-presenting cells, resulting in impaired CD4+ T cell development and activation, as well as impaired T helper–dependent antibody responses, ultimately compromising both cellular and humoral immunity (10).

The resulting combined immunodeficiency (CID) leads to recurrent and often life-threatening infections, predominantly affecting the respiratory and gastrointestinal tracts, and frequently associated with failure to thrive (7, 11, 12, 13). In most patients, symptoms arise within the first year of life; however, milder phenotypes have been reported, with diagnosis delayed until adolescence in some cases (14). The prognosis remains poor in the absence of curative treatment, and hematopoietic stem cell transplantation (HSCT) currently represents the only definitive therapeutic option, but results are less favorable compared with other combined immune deficiencies (15, 16).

Immunologically, MHC-II deficiency is characterized by absent or markedly reduced MHC-II expression, often associated with hypogammaglobulinemia, CD4+ T cell lymphopenia, and impaired antigen-specific cellular responses. In the absence of a genetic diagnosis, the combination of these clinical and laboratory characteristics strongly suggests MHC-II deficiency, in accordance with the current European Society for Immunodeficiencies (ESID) diagnostic criteria (17).

In Algeria, MHC-II deficiency ranks as the third most frequent disorder among IEIs and the second most common form of CID (18). Algerian cases have been included in several reports since the early descriptions of the disease (5, 7, 8, 19). The founder RFXANK c.338-25_338del (formerly c.752delG26) mutation was the most commonly reported molecular defect in these patients (5, 7, 8). Nevertheless, there have been no dedicated reports from Algeria following the 2012 study by Djidjik et al. (8), leaving a major gap in defining the national disease spectrum.

In this context, the present study aimed to provide a comprehensive characterization of the clinical, immunological, and genetic features of the largest MHC-II deficiency cohort reported to date, comprising 107 patients, 92.5% of whom were genetically characterized, thereby substantially expanding the currently available data on this rare disorder.

Patient characteristics and clinical features

A total of 107 patients from 98 unrelated families were included in this study, comprising 65 males and 42 females (Fig. 1, Table S1, and Table 1). The median ages at onset and diagnosis were 5 mo (range, 0–72) and 14 mo (range, 0–168), respectively, corresponding to a median diagnostic delay of 9 mo (interquartile range [IQR]: 3–19). Consanguinity was reported in 60.7% of cases. 10 patients had a sibling with a confirmed diagnosis of MHC-II deficiency, and 37 had one or more siblings who died at a young age with a clinical phenotype suggestive of MHC-II deficiency. Overall, patients with a positive family history were diagnosed at a significantly younger age than those without a family history (median age at diagnosis, 9 versus 17.5 mo; P = 0.001).

Except for seven patients who were screened during the neonatal period, the remaining 100 symptomatic patients had one or more clinical manifestations at admission (Table 1). The clinical presentation was dominated by recurrent pneumonia (82%), chronic diarrhea (73%), recurrent ear, nose, and throat infections (35%), and failure to thrive (34%).

Cutaneous involvement was documented in 17 patients (17%), including skin infections (12/17), eczema (2/17), maculopapular rash (2/17), and erythematovesicular lesions (1/17).

Neurological manifestations were reported in 12 patients (12%). Nystagmus was the most common neurological feature (5/12), followed by inflammatory disorders of the central nervous system (4/12), including two cases of meningoencephalitis, one of meningitis, and one of encephalitis. Psychomotor developmental delay (2/12) and hypotonia (2/12) were also reported, whereas seizures occurred in one patient.

Lymphoproliferative manifestations were documented in seven patients (7%), predominantly lymphadenopathy (5/7), followed by splenomegaly (2/7) and hepatomegaly (1/7). Five patients presented autoimmune diseases, including autoimmune thyroiditis (2/5), autoimmune hemolytic anemia (2/5), and immune thrombocytopenia (1/5). Allergic manifestations were observed in three patients (3%), including allergic asthma (n = 2) and cow’s milk protein allergy (n = 1).

Gastrointestinal manifestations extended beyond chronic diarrhea and comprised fungal infections in 8% of patients, mainly digestive candidiasis and Candida esophagitis, as well as inflammatory complications in 2%, including colitis, perianal abscess, and anal ulceration. Hepatobiliary involvement was documented in one patient (1%), who had a Cryptosporidium infection associated with cholangiectasis.

Immunological findings

Marked abnormalities were observed across both humoral and cellular compartments (Fig. 2). Reduced Ig levels were most frequent for IgA (74/100, 74.0%), followed by IgG (48/85, 56.5%) and IgM (49/101, 48.5%). Regarding HLA-DR expression, all included patients showed complete absence of HLA-DR expression, with no residual expression detected. Further immunophenotyping, performed using the antibody panels and gating strategies presented in Table S2, Fig. S1, and Fig. S2, respectively, revealed low total T cell counts in 63.8% (67/105) of patients and a particularly pronounced reduction in CD4+ T cell counts, detected in 87.6% (92/105) of cases, alongside a reversed CD4+/CD8+ T cell ratio in 68.6% (72/105). B cell lymphopenia and reduced natural killer (NK) cell counts were also observed in a non-negligible proportion of patients, affecting 51.4% (54/105) and 40.0% (42/105) of patients, respectively (Fig. 2 A).

Extended phenotyping revealed a profound disturbance of T cell maturation, characterized by depletion of naïve CD4+ T cells (43/50, 86.0%) with expansion of differentiated compartments, including CD4+ effector memory T cells (EM) (43/50, 86.0%) and terminally differentiated EM re-expressing CD45RA (TEMRA) (27/50, 54.0%). Similar but less pronounced skewing was observed in the CD8+ compartment, with reduced naïve CD8+ cells (22/50, 44.0%) and expanded EM cells (28/50, 56.0%) (Fig. 2 B).

B cell subset abnormalities included frequent reductions in the percentages (from B cells) of non-switched memory B cells (nSMs; 33/69, 47.8%), transitional B cells (33/69, 47.8%), and plasmablasts (34/69, 49.3%), whereas the proportion of switched memory B cells (SMs) was within the normal range in most patients (42/69, 60.9%). An expansion of the CD21–/low B cell subset, associated with B cell autoreactivity, was observed in 39.1% (27/69) of cases (Fig. 2 B). In an exploratory analysis, among the 65 patients for whom CD21–/low B cell frequencies and clinical data were available, autoimmune manifestations were observed in 4 of 27 patients with increased CD21–/low B cell frequencies (14.8%), whereas none of the 38 patients without increased frequencies had autoimmune manifestations (Fisher’s exact test, P = 0.026).

Mutation analysis

Genetic analysis was performed in 99 patients. 77 patients (77.8% of the tested cases) had mutations in the RFXANK gene, and 22 (22.2%) had mutations in the RFXAP gene (Fig. 3). A total of six distinct variants were identified in our cohort (Table 2), all in the homozygous state.

Regarding the RFXANK gene (Fig. 3 A), 71 cases carried the previously reported deletion c.338-25_338del, representing 71.7% of the tested patients and 92.2% of those carrying an RFXANK mutation, while six patients harbored novel mutations. Three patients, from three unrelated families, presented with a single-base-pair deletion in intron 7 (c.565-1del), predicted to affect the invariant AG acceptor splice site of exon 8 and to result in aberrant splicing (Splice AI Δ score: 0.97 for acceptor loss). Two patients, from two unrelated families, carried a single-nucleotide duplication at position 677 in exon 9 (c.677dup) predicted to cause a frameshift resulting in a premature truncation of the protein 32 aa’s downstream of codon 227 (p.Met227AspfsTer32). The last case harbored a missense mutation in exon 10 (c.734A>C) changing the aa at position 245 (p.His245Pro). The affected histidine residue is highly conserved across vertebrate species and is located within the fourth ankyrin domain (Fig. S3). Most in silico prediction tools suggested a deleterious effect of this variant (PolyPhen-2 score: 1; Sorting Intolerant From Tolerant [SIFT] score: 0; Combined Annotation Dependent Depletion [CADD] -PHRED score: 28.1), although the Rare Exome Variant Ensemble Learner (REVEL) score indicated a moderate pathogenicity (0.464).

In addition to mutations in RFXANK, two variants in the RFXAP gene were identified (Fig. 3 B). 21 cases carried the previously reported deletion c.368del (p.Ser123ThrfsTer15), representing 21.2% of the tested patients and 95.5% of those carrying an RFXAP mutation. The remaining case harbored a novel mutation: c.320 dup. This single-nucleotide duplication at position 320 in exon 1 was predicted to cause a frameshift resulting in a premature truncation of the protein 69 aa’s downstream of codon 107 (p.Ser107ArgfsTer69).

Flow cytometric analysis of B cells from patients carrying the four novel variants demonstrated absent HLA-DR surface expression (Fig. S4). Notably, all four variants were identified by whole-exome sequencing (WES) and confirmed by targeted Sanger sequencing.

Outcomes and follow-up

Of the 107 patients, 96 (89.7%) did not undergo HSCT, 7 (6.6%) underwent HSCT, and 4 (3.7%) had insufficient follow-up information to determine their transplantation and vital status (Fig. 4 A).

At the last follow-up, five of the seven transplanted patients (71.4%) were alive (Fig. 4 B and Table S3), and among the 96 non-transplanted patients, 32 (33.3%) were alive (Fig. 4 C).

For the Kaplan–Meier analysis, 10 deceased non-transplanted patients were excluded because their age at death was unavailable. The analysis therefore included 86 patients, comprising 54 deaths and 32 censored observations, and estimated a median survival from birth of 56 mo (95% confidence interval [CI]: 42.8–69.2 mo) (Fig. 4 D).

Among the seven transplanted patients, five underwent HSCT in Algeria at a median age of 6.4 years (range, 4.5–10 years). HLA-DR expression was assessed in four patients and was restored in all four, including one evaluated 8 mo after HSCT. Comprehensive immunological assessment was available for three patients after a median follow-up of 30 mo (range, 29–32 mo). Total CD3+ T cell counts were within or above the normal range, whereas CD4+ T cell counts were within the normal range in two patients but remained reduced in one. In contrast, naïve CD4+ T cell reconstitution remained incomplete in all three patients. Detailed posttransplant immunological findings are provided in Table S3.

Genotype–phenotype comparison between patients carrying the RFXANK c.338-25_338del and RFXAP c.368del mutations

Comparative analysis of patients carrying the two most frequent mutations revealed significant differences in both clinical and immunological features (Table 3). Patients harboring the RFXANK c.338-25_338del mutation showed significantly higher median ages at symptom onset and diagnosis than those carrying RFXAP c.368del (P = 0.002 and P < 0.001, respectively). Clinically, ENT infections were significantly more prevalent among patients with RFXANK c.338-25_338del, whereas neurological manifestations were observed more frequently in those with RFXAP c.368del. Notably, nystagmus, the most common neurological feature in the cohort, was observed exclusively in patients with the RFXAP c.368del mutation (5/20 versus 0/68).

Immunologically, patients carrying RFXAP c.368del showed significantly lower IgG and IgM levels (Table 3). A higher proportion of patients with low total CD4+ T cell counts, reversed CD4+/CD8+ T cell ratios, and low naïve CD4+ T cell frequencies was also observed in this group, although these differences did not reach statistical significance (Table 3). Despite the absence of a significant difference in mortality rate (61.9% versus 84.2%, P = 0.096), patients carrying the RFXAP c.368del mutation died at a significantly younger age than those with RFXANK c.338-25_338del (12.5 versus 48 mo, P < 0.001). Consistent with these findings, Kaplan–Meier survival analysis demonstrated significantly reduced survival among patients with RFXAP c.368del compared with those carrying RFXANK c.338-25_338del (median survival: 17 versus 66 mo; log-rank P < 0.001) (Fig. 4 E).

To the best of our knowledge, this study represents the largest cohort of patients with MHC-II deficiency reported to date and provides a comprehensive clinical, immunological, and molecular characterization of this IEI. Beyond confirming the predominance of the previously recognized founder RFXANK c.338-25_338del variant, our data reveal substantial enrichment of the recurrent RFXAP c.368del variant among Algerian patients, raising the possibility of a regional founder effect. Notably, patients carrying the latter variant displayed features suggestive of a more severe disease phenotype. In addition, the identification of four previously unreported mutations expands the mutational spectrum of the disease.

In MHC-II deficiency, clinical manifestations usually begin early, typically within the first year of life, and tend to follow a relatively consistent clinical phenotype across reported cohorts (7, 11, 12, 13). Consistent with previous reports, the hallmark manifestations in our study were recurrent respiratory infections, chronic diarrhea, and failure to thrive. Although the infectious spectrum reported in the literature includes both opportunistic intracellular pathogens and conventional bacterial and fungal pathogens (13), detailed microbiological characterization and information on the antimicrobial treatments used for individual infectious episodes were not systematically available in our cohort, representing a limitation inherent to the retrospective nature of the study. Furthermore, clinical manifestations were extracted from clinical data forms completed at admission; therefore, manifestations developing later during follow-up may not have been captured. These limitations are particularly relevant to the assessment of Cryptosporidium-associated hepatobiliary disease, as screening for Cryptosporidium infection and hepatobiliary complications was not systematic and their frequency may consequently have been underestimated.

Given the severity of this phenotype, untreated disease is frequently fatal early in life, although occasional long-term survival has been described (14). Consistent with these observations, the mortality rate among non-transplanted patients in our cohort was 66.7%. Allogeneic HSCT remains the treatment of choice, with outcomes improving substantially in recent years despite historical challenges related to infections, conditioning toxicity, graft rejection, and graft-versus-host disease (15, 16). Unfortunately, only seven patients in our cohort underwent HSCT, five of whom were transplanted in Algeria. This limited number reflects the recent implementation and restricted availability of HSCT for IEIs in Algeria. Consequently, management of most patients relied on supportive care while awaiting access to transplantation.

Classically, the immunological phenotype of MHC-II deficiency is characterized by absent or markedly reduced MHC-II expression, hypogammaglobulinemia, and CD4+ T cell lymphopenia with preserved total T and B cell counts. However, in our cohort, more than half of patients showed reduced total T and/or B cell counts, while some exhibited normal CD4+ T cell counts and/or preserved serum Ig levels, challenging the notion of a uniform “classical” immunological phenotype. This heterogeneity is consistent with current ESID diagnostic criteria, which recognize that patients may present with variable combinations of hypogammaglobulinemia, lymphopenia, reduced CD4+ T cell counts, and impaired antigen-specific responses (17). Nevertheless, reduced MHC-II expression remains the most consistent diagnostic hallmark. It is noteworthy that, before molecular diagnosis, two patients in our cohort were initially misdiagnosed as severe CID (SCID T⁻B⁻) due to severe lymphopenia and non-evaluation of MHC-II expression. Consistent with recommendations from other authors (11), we therefore support routine assessment of HLA-DR/MHC-II expression in all patients suspected of having CID, particularly in the context of consanguinity, to avoid missed or delayed diagnoses.

Family history also had a significant impact on the timing of diagnosis. Patients with a positive family history were diagnosed at a younger age than those without an affected relative (9 versus 17.5 mo; P = 0.001). Notably, family history facilitated both earlier recognition of the disease after symptom onset and presymptomatic diagnosis in seven subsequently born siblings through targeted neonatal screening based on HLA-DR expression. These findings highlight the importance of systematically eliciting family history and implementing targeted neonatal screening in families with a previously affected child. Such an approach may facilitate timely referral for HSCT before the development of severe infectious complications, thereby improving clinical outcomes.

This immunological heterogeneity was further supported by extended lymphocyte phenotyping. We observed a dissociation between recent thymic emigrants (RTE) and naïve CD4+ T cells, with reduced RTE levels in only 41% of patients compared with decreased naïve CD4+ T cells in 86%, suggesting that impaired thymic output alone may not fully account for CD4+ T cell lymphopenia. This raises the possibility that altered peripheral T cell homeostasis may contribute to depletion of the naïve CD4+ compartment, consistent with the recognized role of self-MHC–dependent survival signals in maintaining naïve CD4+ T cells (20). In the CD8 compartment, frequent reduction of naïve CD8+ T cells despite preserved MHC class I–dependent thymic selection may reflect chronic antigenic stimulation driving differentiation toward effector/memory subsets (21), leading to progressive depletion of the naïve pool, as observed in other IEIs (22). A further intriguing observation was the apparent preservation of SM percentages in most patients, despite defective CD4+ T cell help. This observation should, however, be interpreted cautiously. Most patients in our cohort were younger than 2 years, an age at which the lower reference limit for SMs is extremely low (0.1%) (23). Moreover, B cell subset analysis has limited diagnostic value during early childhood because physiological immune maturation may mask subtle pathological abnormalities (24). In this context, interpretation based on absolute counts, ideally compared with age-matched healthy controls, may have been more informative than reliance on reference intervals alone.

While absent MHC-II expression remains the cornerstone of diagnosis, identification of the underlying molecular defect is essential for definitive diagnosis and informing genetic counseling. MHC-II deficiency is caused by mutations in one of the four genes (CIITA, RFXANK, RFX5, and RFXAP) encoding transcriptional regulators of MHC-II expression (10). In our cohort, mutations were identified exclusively in RFXANK and RFXAP, whereas no variants were detected in CIITA or RFX5. The predominance of RFXANK mutations (77.8%) is consistent with previous reports identifying this gene as the major cause of MHC-II deficiency worldwide. To date, more than 30 pathogenic variants have been identified in this gene (Table S4 and Fig. 5 A). The most frequent variant in our cohort was the recurrent RFXANK c.338-25_338del mutation (formerly c.752delG26), identified in 71.7% of genetically characterized patients. Its predominance further confirms previous reports of a high frequency of this mutation in North African populations, particularly in the Maghreb (Morocco, Algeria, and Tunisia), where a founder effect was first documented by Wiszniewski et al. (5) and later supported in a larger Maghrebin cohort (7). In addition, three novel RFXANK variants, namely c.565-1del, c.677dup (p.Met227AspfsTer32), and c.734A>C (p.His245Pro), were identified in our cohort and classified as pathogenic or likely pathogenic according to the American College of Medical Genetics and Genomics (ACMG) criteria. Although functional studies would strengthen the interpretation of these variants, such assays were not available within our current laboratory setting. Therefore, their predicted molecular consequences could not be experimentally confirmed and should be further evaluated in future studies.

The second gene identified in our cohort was RFXAP, in which c.368del (p.Ser123ThrfsTer15) represented the second most frequent variant (21.2%). This mutation has previously been reported in six patients (19, 25, 26, 27) and was originally described as c.484delG. Five of these individuals were of North African origin (two Moroccan, one Algerian, and two of unspecified origin). Importantly, this variant was first reported in 1997 (19, 25). Its relatively limited representation in subsequent regional studies may partly reflect the frequent use of targeted screening for the recurrent 26-bp RFXANK founder deletion rather than comprehensive analysis of all MHC-II regulatory genes (8, 9, 28). The recurrence of this variant in 21 patients from 19 unrelated families in our cohort, together with its previous identification predominantly in patients of North African origin, suggests substantial enrichment among Maghrebi patients with MHC-II deficiency. Whether this enrichment reflects shared ancestry and a regional founder effect remains to be determined through haplotype-based studies. Moreover, we identified a novel mutation, c.320dup (p.Ser107ArgfsTer69), classified as pathogenic according to ACMG criteria, further expanding the mutational spectrum of RFXAP (Table S5 and Fig. 5 B). Its predicted molecular consequence will require confirmation through future functional studies. The predominance of two recurrent variants in our cohort suggests that a prioritized mutation-based diagnostic approach may be considered before broader genomic testing.

The presence of two well-represented mutation-defined patient groups provided a unique opportunity to explore genotype–phenotype correlations in MHC-II deficiency. Consistent with previous observations suggesting a comparatively milder disease course in patients with RFXANK defects (13), our data showed that carriers of the RFXANK c.338-25_338del mutation had later symptom onset, older age at death, and significantly longer survival than patients carrying the RFXAP c.368del variant. To note, survival analyses were restricted to non-transplanted patients. Moreover, the diagnostic periods substantially overlapped between the two groups, with a median year of diagnosis of 2021 (Q1–Q3: 2017–2023) in the RFXANK group and 2022 (Q1–Q3: 2020–2023) in the RFXAP group (P = 0.246). Thus, both groups were diagnosed during broadly comparable periods of supportive care. Nevertheless, given the retrospective nature of the study, residual differences in follow-up, access to supportive care, environmental exposures, and other unmeasured confounding factors cannot be excluded. Accordingly, these genotype–phenotype findings should be interpreted as exploratory.

From an immunological perspective, carriers of the RFXAP c.368del variant also displayed features suggestive of a more severe combined immunodeficiency phenotype. However, all patients in our cohort showed complete absence of HLA-DR expression on peripheral blood B cells and monocytes, indicating that differential HLA-DR expression is unlikely to account for the observed phenotypic variability.

An additional noteworthy finding was the exclusive occurrence of nystagmus within our cohort in patients carrying the RFXAP c.368del variant. Although neurological manifestations were more frequent in this group, limited and non-systematic neurological and neuroimaging assessments may have resulted in the underrecognition of neurological abnormalities in other patients, including those belonging to the other genotype groups. Moreover, neurological manifestations have previously been reported in patients with RFXANK variants (7, 12). Nevertheless, to our knowledge, nystagmus has not previously been reported in association with this variant (19, 25, 26, 27). Prospective studies incorporating standardized neurological and neuroradiological assessments will be required to determine the nature, frequency, and clinical significance of this phenotype.

The biological basis underlying these exploratory genotype–phenotype differences remains unknown. A recent multicenter study also reported a more severe clinical course in patients with RFX5 deficiency than in those with RFXANK mutations (13), suggesting that disease severity may differ according to the affected component of the MHC-II transcriptional regulatory complex. However, functional studies are required to determine whether these differences are directly attributable to genotype.

In conclusion, this study represents the largest cohort of MHC-II deficiency reported to date and further expands current knowledge of the disease. The mutational profile identified supports a stepwise diagnostic strategy that may be particularly relevant for Algeria and neighboring Maghreb populations, prioritizing targeted screening of the RFXANK c.338-25_338del founder mutation, followed by the RFXAP c.368del variant, while patients lacking these variants should undergo broader genomic analysis using next-generation sequencing (NGS) or WES. In parallel, raising clinicians’ awareness to identify patients at risk and expanding access to genetic counseling for patients and their families will also be essential to facilitate earlier diagnosis and timely referral for HSCT. However, the successful implementation of this strategy will require the establishment of additional specialized transplantation centers with expertise in IEIs to improve access to HSCT and ultimately enhance patient outcomes in our country.

Study population

107 patients with MHC-II deficiency, initially defined by absent or markedly reduced HLA-DR expression on B cells and monocytes, were enrolled in this retrospective study. Patients from different provinces of Algeria (Fig. 1 and Table S1) were initially evaluated by pediatricians at multiple hospitals nationwide and were subsequently referred to the Department of Medical Immunology at Beni-Messous University Hospital Center for immunological assessment.

Data from eligible patients were collected using a data collection form implemented in an encrypted Microsoft Excel spreadsheet to record demographic information, medical history, laboratory, and molecular findings.

Written informed consent was obtained from the parents or legal guardians of all participants. The study was conducted in accordance with the principles of the Declaration of Helsinki and was approved by the Ethics Committee of Beni-Messous University Hospital Center, Algiers, Algeria (Approval No.: 17/CE/2026).

Immunological analysis

Initial investigations included a complete blood count performed on an automated hematological analyzer, measurement of total serum Ig’s (IgM, IgG, and IgA) by nephelometry (BN ProSpec, Siemens), and analysis of lymphocyte subsets (T cells [CD3+, CD4+, and CD8+], B cells [CD19+], and NK cells [CD56+, CD16+]) by flow cytometry (BD FACS Lyric [Becton Dickinson]).

A low absolute CD4+ T cell count was the main criterion for flow cytometric evaluation of HLA-DR expression on B cells and monocytes. Nevertheless, HLA-DR expression was also assessed in patients with a strong clinical suspicion of MHC-II deficiency, even if the CD4+ T cell count was normal, as well as in asymptomatic individuals screened during the neonatal period because of a familial history of the disease.

The flow cytometry analysis was completed by extended phenotyping of peripheral T and B cell compartments. T cell subsets were defined as follows: RTE CD4+ T cells (CD45RA+, CD31+), naïve T cells (CD45RA+CD27+), central memory T cells (CD45RA−CD27+), EM (CD45RA−CD27−), and TEMRA (CD45RA+CD27−). B cell subsets included: SM (SM; CD27+, IgD−) and nSM subsets (CD27+, IgD+), transitional B cells (CD24++, CD38++), plasmablasts (CD24−, CD38++), and CD21–/low B cells. Detailed antibody panels are provided in Table S2, and the gating strategies are shown in Figs. S1 and S2.

Serum IgG, IgA, and IgM concentrations were interpreted using age-adjusted, laboratory-specific reference intervals provided by Mayo Clinic Laboratories and reproduced by DiGiacomo and Barmettler (29, 30). Lymphocyte subset counts and percentages were interpreted against age-specific pediatric reference ranges (23, 31).

Genetic analysis

Genomic DNA was extracted from whole blood using either the salting-out method, a silica column–based extraction technique, or a magnetic bead–based method, depending on reagent and equipment availability. Overall, genetic material was available for 99 of the 107 patients (92.5%).

Before the establishment of the molecular assay platform in our department in 2025, international academic collaboration enabled the molecular diagnosis of 68 patients using WES. Exome capture was performed using the SureSelect Human All Exon V7 kit (Agilent Technologies) or the KAPA HyperPrep Kit (Roche Sequencing Solutions), followed by 150-bp paired-end sequencing on a NovaSeq 6000 platform (Illumina). All identified variants were subsequently confirmed by bidirectional targeted Sanger sequencing using an Applied Biosystems 3730xl DNA Analyzer (Thermo Fisher Scientific).

After the platform became operational, the remaining 31 patients were analyzed locally. In accordance with MENA regional recommendations (32), targeted Sanger sequencing was initially performed to screen for the North African common founder mutation c.338-25_338del in the RFXANK gene. PCR products covering the genomic region Chr19:19,197,106-19,197,612 (GRCh38), encompassing exons 5 and 6 and the intervening intron, were directly sequenced using the SeqStudio Genetic Analyzer (Thermo Fisher Scientific), and sequences were analyzed using SeqScape software. Patients negative for this variant were subsequently analyzed by NGS using a custom-designed panel including the four genes implicated in MHC-II deficiency. Library and template preparation were performed on the Ion Chef System (Thermo Fisher Scientific), followed by sequencing on the Ion S5 System (Thermo Fisher Scientific) according to the manufacturer’s instructions.

The reference transcript sequences NM_003721.4 (RFXANK) and NM_000538.4 (RFXAP) were used for sequence alignment and variant nomenclature according to the Human Genome Variation Society (HGVS) recommendations. Any suspected mutations found were compared with the online databases and the literature to determine if they had been previously reported (as of August 2026). Novel variants were analyzed using Mutalyzer for HGVS validation and annotation of variant consequences, whereas pathogenicity was assessed using in silico prediction tools (PolyPhen-2, SIFT, etc.). Variant classification was subsequently performed according to the ACMG guidelines (33).

Statistical analysis

IBM SPSS Statistics (version 20.0) was used for statistical analysis. Categorical variables were expressed as absolute numbers (n) or relative frequencies (%), and significance was assessed by χ2 test or Fisher’s exact test, as appropriate. Continuous variables were expressed as medians and interquartile ranges (Q1–Q3). As these variables were non-normally distributed, differences between two independent groups were assessed using the Mann–Whitney U test. Survival analyses were restricted to patients known not to have undergone HSCT. Survival time was measured from birth to death or, for patients confirmed to be alive, to the administrative end of follow-up in July 2026. The vital status of all surviving patients was verified at that time, and they were right-censored at the age reached in July 2026. Patients with unknown transplantation or vital status, as well as those lacking time-to-event data, were excluded from the survival analyses. Survival probabilities were estimated using the Kaplan–Meier method and compared between groups using the log-rank test. P values <0.05 were considered statistically significant for all analyses.

Online supplemental material

Figs. S1 and S2 show the flow cytometry gating strategies used for lymphocyte immunophenotyping and HLA-DR expression. Fig. S3 shows conservation of the RFXANK p.His245 residue across vertebrates and its position within the RFXANK protein. Fig. S4 shows HLA-DR expression in patients carrying the novel variants. Table S1 presents the geographic distribution of patients with MHC-II deficiency across Algerian provinces. Table S2 details the flow cytometry panels used for lymphocyte immunophenotyping. Table S3 summarizes the characteristics and posttransplant immunological findings of patients who underwent HSCT. Tables S4 and S5 summarize previously reported RFXANK and RFXAP variants, respectively.

The clinical, biological, and genetic data supporting the findings of this study are not publicly available due to patient privacy and ethical restrictions. Requests for access to de-identified data should be directed to the corresponding author, Prof. Reda Djidjik ([email protected]). Access may be granted upon reasonable request, subject to applicable institutional and ethical requirements and the scope of participants’ informed consent. The novel RFXANK and RFXAP variants identified in this study have been submitted to ClinVar. Their accession numbers are SCV007680856, SCV007680857, SCV007680858, and SCV007680859.

Y.L. Lau gratefully acknowledges the support of the Hong Kong Society for the Relief of Disabled Children and the Jeffrey Modell Foundation for their invaluable support in helping children with inborn errors of immunity.

This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH). The contributions of the NIH author(s) are considered Works of the United States Government. The findings and conclusions presented in this paper are those of the author(s) and do not necessarily reflect the views of the NIH or the U.S. Department of Health and Human Services.

Author contributions: Lydia Lamara Mahammed: data curation, formal analysis, investigation, methodology, and writing—original draft. Brahim Belaid: conceptualization, data curation, formal analysis, investigation, methodology, project administration, resources, software, supervision, validation, visualization, and writing—review and editing. Koon-Wing Chan: data curation, formal analysis, investigation, methodology, validation, and writing—review and editing. Aida Mohand-oussaid: investigation. Ouardia Drali: data curation and resources. Abdelhak Dehimi: data curation and investigation. Daniel Leung: data curation, investigation, and writing—review and editing. Lilya Meriem Berkani: formal analysis and investigation. Hassiba Sakhri: formal analysis, software, and writing—review and editing. Asmaa Abed: formal analysis. Meriem Tahir: formal analysis, investigation, and visualization. Fatma Merah: validation. Amina Salmi: investigation and resources. Wassila Messadi: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, software, supervision, validation, visualization, and writing—original draft, review, and editing. Souhila Melzi: data curation, investigation, and writing—review and editing. Jing Yang: investigation. Xing Tian Yang: formal analysis and software. Jennifer Stoddard: investigation. Julie Niemela: data curation and formal analysis. Heather Kenney: investigation, methodology, project administration, and validation. Fella Dahmoune: conceptualization. Fairouz Guerrouche: formal analysis. Ahlem Mechali: data curation and investigation. Amina Saad Djaballah: formal analysis. Lamia Amirat: investigation and resources. Meriem Oussalah: conceptualization, investigation, and resources. Yacine Inouri: data curation, formal analysis, and investigation. Saadeddine Dib: investigation. Fatima Benbida: formal analysis and investigation. Chahynez Boubidi: resources. Hind Ismahen Titri: investigation, resources, and writing—review and editing. Lynda Sekfali: investigation, resources, and writing—review and editing. Sidi Mohamed Azzouz: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, software, supervision, validation, visualization, and writing—original draft, review, and editing. Amel Laredj: formal analysis. Fadela Bendaoud: investigation and resources. Halima Zerguine: investigation and resources. Djohra Hadef: data curation and investigation. Ahmed Kadi: investigation. Djazia Elhadef: investigation and writing—original draft. Hamza Boucenna: resources. Khadidja Benallal: formal analysis. Moufida Djalab: investigation and resources. Chahrazed El Mezouar: data curation, investigation, resources, and writing—review and editing. Rachid Bouhdjila: investigation. Mimouna Bessahraoui: resources. Nadia Bensaadi: investigation and resources. Farih mehdid: investigation and visualization. Malek Benakli: resources. Farida Harieche: investigation. Rawda Aboura: resources. Zoulikha Zeroual: investigation and resources. Leila Smati: data curation, investigation, and resources. Salih Bendeddouche: investigation. Reda Belbouab: resources. Azzeddine Mekki: formal analysis. Belkacem Bioud: data curation and investigation. Samir Mohamed Ladj: resources. Merzak Gharnaout: conceptualization and supervision. Asmahane Ladjouze: resources. Ourida Gacem: Conceptualization, methodology, resources, validation, visualization, and writing—original draft, review, and editing. Nafissa Benhalla: resources. Jaime Sou Rosa Duque: investigation, methodology, and writing—review and editing. Sergio Rosenzweig: investigation, resources, and writing—review and editing. Luigi Daniele Notarangelo: investigation, resources, and writing—original draft, review, and editing. Yu Lung Lau: conceptualization, data curation, funding acquisition, investigation, project administration, resources, supervision, and writing—review and editing. Reda Djidjik: conceptualization, supervision, validation, and writing—original draft, review, and editing.

1.
Lisowska-Grospierre
,
B.
,
A.
Durandy
,
J.L.
Virelizier
,
A.
Fischer
, and
C.
Griscelli
.
1983
.
Combined immunodeficiency with defective expression of HLA: Modulation of an abnormal HLA synthesis and functional studies
.
Birth Defects Orig. Artic. Ser.
19
:
87
–
91
.
2.
Reith
,
W.
,
S.
Satola
,
C.H.
Sanchez
,
I.
Amaldi
,
B.
Lisowska-Grospierre
,
C.
Griscelli
,
M.R.
Hadam
, and
B.
Mach
.
1988
.
Congenital immunodeficiency with a regulatory defect in MHC class II gene expression lacks a specific HLA-DR promoter binding protein, RF-X
.
Cell
.
53
:
897
–
906
.
3.
Griscelli
,
C.
,
B.
Lisowska-Grospierre
,
F.
Le Deist
,
A.
Durandy
,
A.
Marcadet
,
A.
Fischer
,
C.
de Preval
, and
B.
Mach
.
1989
.
Combined immunodeficiency with abnormal expression of MHC class II genes
.
Clin. Immunol. Immunopathol.
50
:
S140
–
S148
.
4.
Aghamohammadi
,
A.
,
N.
Rezaei
,
R.
Yazdani
,
S.
Delavari
,
N.
Kutukculer
,
E.
Topyildiz
,
A.
Ozen
,
S.
Baris
,
E.
Karakoc-Aydiner
,
S.S.
Kilic
, et al
.
2021
.
Consensus Middle East and North Africa registry on inborn errors of immunity
.
J. Clin. Immunol.
41
:
1339
–
1351
.
5.
Wiszniewski
,
W.
,
M.-C.
Fondaneche
,
N.
Lambert
,
K.
Masternak
,
C.
Picard
,
L.
Notarangelo
,
K.
Schwartz
,
J.
Bal
,
W.
Reith
,
C.
Alcaide
, et al
.
2000
.
Founder effect for a 26-bp deletion in the RFXANK gene in North African major histocompatibility complex class II-deficient patients belonging to complementation group B
.
Immunogenetics
.
51
:
261
–
267
.
6.
Naamane
,
H.
,
O.
El Maataoui
,
F.
Ailal
,
A.
Barakat
,
S.
Bennani
,
J.
Najib
,
M.
Hassar
,
R.
Saile
, and
A.A.
Bousfiha
.
2010
.
The 752delG26 mutation in the RFXANK gene associated with major histocompatibility complex class II deficiency: Evidence for a founder effect in the Moroccan population
.
Eur. J. Pediatr.
169
:
1069
–
1074
.
7.
Ouederni
,
M.
,
Q.B.
Vincent
,
P.
Frange
,
F.
Touzot
,
S.
Scerra
,
M.
Bejaoui
,
A.
Bousfiha
,
Y.
Levy
,
B.
Lisowska-Grospierre
,
D.
Canioni
, et al
.
2011
.
Major histocompatibility complex class II expression deficiency caused by a RFXANK founder mutation: A survey of 35 patients
.
Blood
.
118
:
5108
–
5118
.
8.
Djidjik
,
R.
,
N.
Messaoudani
,
A.
Tahiat
,
Y.
Meddour
,
S.
Chaib
,
A.
Atek
,
M.E.
Khiari
,
N.K.
Benhalla
,
L.
Smati
,
A.
Bensenouci
, et al
.
2012
.
Clinical, immunological and genetic features in eleven Algerian patients with major histocompatibility complex class II expression deficiency
.
Allergy Asthma Clin. Immunol.
8
:
14
.
9.
Ben-Mustapha
,
I.
,
K.
Ben-Farhat
,
N.
Guirat-Dhouib
,
E.
Dhemaied
,
B.
Larguèche
,
M.
Ben-Ali
,
J.
Chemli
,
J.
Bouguila
,
L.
Ben-Mansour
,
F.
Mellouli
, et al
.
2013
.
Clinical, immunological and genetic findings of a large tunisian series of major histocompatibility complex class II deficiency patients
.
J. Clin. Immunol.
33
:
865
–
870
.
10.
Hanna
,
S.
, and
A.
Etzioni
.
2014
.
MHC class I and II deficiencies
.
J. Allergy Clin. Immunol.
134
:
269
–
275
.
11.
El Hawary
,
R.E.
,
A.A.
Mauracher
,
S.S.
Meshaal
,
A.
Eldash
,
D.S.
Abd Elaziz
,
R.
Alkady
,
S.
Lotfy
,
L.
Opitz
,
N.M.
Galal
,
J.A.
Boutros
, et al
.
2019
.
MHC-II deficiency among Egyptians: Novel mutations and unique phenotypes
.
J. Allergy Clin. Immunol. Pract.
7
:
856
–
863
.
12.
Mousavi Khorshidi
,
M.S.
,
Y.
Seeleuthner
,
Z.
Chavoshzadeh
,
M.
Behfar
,
A.A.
Hamidieh
,
H.
Alimadadi
,
R.
Sherkat
,
T.
Momen
,
N.
Behniafard
,
S.
Eskandarzadeh
, et al
.
2023
.
Clinical, immunological, and genetic findings in Iranian patients with MHC-II deficiency: Confirmation of c.162delG RFXANK founder mutation in the Iranian population
.
J. Clin. Immunol.
43
:
1941
–
1952
.
13.
Gulec Koksal
,
Z.
,
S.
Bilgic Eltan
,
E.
Topyildiz
,
A.
Sezer
,
S.
Keles
,
F.
Celebi Celik
,
A.
Ozhan Kont
,
B.
Gemici Karaaslan
,
A.P.
Sefer
,
Z.
Karali
, et al
.
2024
.
MHC class II deficiency: Clinical, immunological, and genetic insights in a large multicenter cohort
.
J. Allergy Clin. Immunol. Pract.
12
:
2490
–
2502.e6
.
14.
Kattra
,
A.B.
,
I.
Benhsaien
,
A.
Drissi Bourhanbour
,
Z.
Aadam
,
A.
Errami
,
F.
Ailal
,
A.A.
Bousfiha
, and
J.
El Bakkouri
.
2025
.
Major histocompatibility complex class II deficiency beyond infancy
.
Case Reports Immunol.
2025
:
8570051
.
15.
Lum
,
S.H.
,
B.
Neven
,
M.A.
Slatter
, and
A.R.
Gennery
.
2019
.
Hematopoietic cell transplantation for MHC class II deficiency
.
Front. Pediatr.
7
:
516
.
16.
Castagnoli
,
R.
,
O.M.
Delmonte
,
E.
Calzoni
, and
L.D.
Notarangelo
.
2019
.
Hematopoietic stem cell transplantation in primary immunodeficiency diseases: Current status and future perspectives
.
Front. Pediatr.
7
:
295
.
17.
Seidel
,
M.G.
,
G.
Kindle
,
B.
Gathmann
,
I.
Quinti
,
M.
Buckland
,
J.
van Montfrans
,
R.
Scheible
,
S.
Rusch
,
L.M.
Gasteiger
,
B.
Grimbacher
, et al
.
2019
.
The European society for immunodeficiencies (ESID) registry working definitions for the clinical diagnosis of inborn errors of immunity
.
J. Allergy Clin. Immunol. Pract.
7
:
1763
–
1770
.
18.
Belaid
,
B.
,
L.
Lamara Mahammed
,
O.
Drali
,
A.M.
Oussaid
,
N.S.
Touri
,
S.
Melzi
,
A.
Dehimi
,
L.M.
Berkani
,
F.
Merah
,
Z.
Larab
, et al
.
2022
.
Inborn errors of immunity in Algerian children and adults: A single-center experience over a period of 13 years (2008-2021)
.
Front. Immunol.
13
:
900091
.
19.
Villard
,
J.
,
B.
Lisowska-Grospierre
,
P.
van den Elsen
,
A.
Fischer
,
W.
Reith
, and
B.
Mach
.
1997
.
Mutation of RFXAP, a regulator of MHC class II genes, in primary MHC class II deficiency
.
N. Engl. J. Med.
337
:
748
–
753
.
20.
Kawabe
,
T.
,
J.
Yi
, and
J.
Sprent
.
2021
.
Homeostasis of naive and memory T lymphocytes
.
Cold Spring Harb. Perspect. Biol.
13
:
a037879
.
21.
Jameson
,
S.C.
, and
D.
Masopust
.
2018
.
Understanding subset diversity in T cell memory
.
Immunity
.
48
:
214
–
226
.
22.
Klocperk
,
A.
,
D.
Friedmann
,
A.E.
Schlaak
,
S.
Unger
,
Z.
Parackova
,
S.
Goldacker
,
A.
Sediva
,
B.
Bengsch
, and
K.
Warnatz
.
2022
.
Distinct CD8 T cell populations with differential exhaustion profiles associate with secondary complications in common variable immunodeficiency
.
J. Clin. Immunol.
42
:
1254
–
1269
.
23.
Morbach
,
H.
,
E.M.
Eichhorn
,
J.G.
Liese
, and
H.J.
Girschick
.
2010
.
Reference values for B cell subpopulations from infancy to adulthood
.
Clin. Exp. Immunol.
162
:
271
–
279
.
24.
Schatorjé
,
E.J.H.
,
E.F.A.
Gemen
,
G.J.A.
Driessen
,
J.
Leuvenink
,
R.W.N.M.
van Hout
,
M.
van der Burg
, and
E.
de Vries
.
2011
.
Age-matched reference values for B-lymphocyte subpopulations and CVID classifications in children
.
Scand. J. Immunol.
74
:
502
–
510
.
25.
Durand
,
B.
,
P.
Sperisen
,
P.
Emery
,
E.
Barras
,
M.
Zufferey
,
B.
Mach
, and
W.
Reith
.
1997
.
RFXAP, a novel subunit of the RFX DNA binding complex is mutated in MHC class II deficiency
.
EMBO J.
16
:
1045
–
1055
.
26.
Fondaneche
,
M.C.
,
J.
Villard
,
W.
Wiszniewski
,
E.
Jouanguy
,
A.
Etzioni
,
F.
Le Deist
,
A.
Peijnenburg
,
J.L.
Casanova
,
W.
Reith
,
B.
Mach
, et al
.
1998
.
Genetic and molecular definition of complementation group D in MHC class II deficiency
.
Hum. Mol. Genet.
7
:
879
–
885
.
27.
Schmetterer
,
K.G.
,
M.G.
Seidel
,
U.
Körmöczi
,
A.
Rottal
,
K.
Schwarz
,
S.
Matthes-Martin
,
P.
Steinberger
, and
W.F.
Pickl
.
2010
.
Two newly diagnosed HLA class II-deficient patients identified by rapid vector-based complementation analysis reveal discoordinate invariant chain expression levels
.
Int. Arch. Allergy Immunol.
152
:
390
–
400
.
28.
Kattra
,
A.B.
,
F.
Ailal
,
I.
Benhsaien
,
N.
Rada
,
B.
Admou
,
R.
Hazime
,
N.
Benajiba
,
N.
El Hafidi
,
M.
Hbibi
,
M.
Hida
, et al
.
2026
.
Major histocompatibility complex class II deficiency in Morocco: A 26-year retrospective cohort study
.
Front. Immunol.
17
:
1831840
.
29.
Mayo Clinic
Laboratories
.
Immunoglobulins (IgG, IgA, and IgM), Serum. Pediatric Test Catalog. Test ID: IMMG
. https://pediatric.testcatalog.org/show/IMMG (accessed August 1, 2026).
30.
DiGiacomo
,
D.
, and
S.
Barmettler
.
2024
.
Secondary hypogammaglobulinemia: Diagnosis and management of a pediatric condition of clinical importance
.
Curr. Opin. Pediatr.
36
:
659
–
667
.
31.
Ding
,
Y.
,
L.
Zhou
,
Y.
Xia
,
W.
Wang
,
Y.
Wang
,
L.
Li
,
Z.
Qi
,
L.
Zhong
,
J.
Sun
,
W.
Tang
, et al
.
2018
.
Reference values for peripheral blood lymphocyte subsets of healthy children in China
.
J. Allergy Clin. Immunol.
142
:
970
–
973.e8
.
32.
Baris
,
S.
,
H.
Abolhassani
,
M.J.
Massaad
,
M.
Al-Nesf
,
Z.
Chavoshzadeh
,
S.
Keles
,
I.
Reisli
,
A.
Tahiat
,
H.M.
Shendi
,
D.A.
Elaziz
, et al
.
2023
.
The Middle East and North Africa diagnosis and management guidelines for inborn errors of immunity
.
J. Allergy Clin. Immunol. Pract.
11
:
158
–
180.e11
.
33.
Richards
,
S.
,
N.
Aziz
,
S.
Bale
,
D.
Bick
,
S.
Das
,
J.
Gastier-Foster
,
W.W.
Grody
,
M.
Hegde
,
E.
Lyon
,
E.
Spector
, et al
.
2015
.
Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology
.
Genet. Med.
17
:
405
–
424
.
34.
Masternak
,
K.
,
E.
Barras
,
M.
Zufferey
,
B.
Conrad
,
G.
Corthals
,
R.
Aebersold
,
J.C.
Sanchez
,
D.F.
Hochstrasser
,
B.
Mach
, and
W.
Reith
.
1998
.
A gene encoding a novel RFX-associated transactivator is mutated in the majority of MHC class II deficiency patients
.
Nat. Genet.
20
:
273
–
277
.
35.
Nagarajan
,
U.M.
,
P.
Louis-Plence
,
A.
DeSandro
,
R.
Nilsen
,
A.
Bushey
, and
J.M.
Boss
.
1999
.
RFX-B is the gene responsible for the most common cause of the bare lymphocyte syndrome, an MHC class II immunodeficiency
.
Immunity
.
10
:
153
–
162
.
36.
Nagarajan
,
U.M.
,
A.
Peijnenburg
,
S.J.
Gobin
,
J.M.
Boss
, and
P.J.
van den Elsen
.
2000
.
Novel mutations within the RFX-B gene and partial rescue of MHC and related genes through exogenous class II transactivator in RFX-B-deficient cells
.
J. Immunol.
164
:
3666
–
3674
.
37.
Guirat-Dhouib
,
N.
,
Y.
Baccar
,
I.B.
Mustapha
,
M.
Ouederni
,
S.
Chouaibi
,
N.
El Fekih
,
M.R.
Barbouche
,
B.
Fezaa
,
R.
Kouki
,
S.
Hmida
, et al
.
2012
.
Oral HPV infection and MHC class II deficiency (A study of two cases with atypical outcome)
.
Clin. Mol. Allergy
.
10
:
6
.
38.
Lennon-Duménil
,
A.M.
,
M.R.
Barbouche
,
J.
Vedrenne
,
T.
Prod’Homme
,
M.
Béjaoui
,
S.
Ghariani
,
D.
Charron
,
M.
Fellous
,
K.
Dellagi
, and
C.
Alcaïde-Loridan
.
2001
.
Uncoordinated HLA-D gene expression in a RFXANK-defective patient with MHC class II deficiency
.
J. Immunol.
166
:
5681
–
5687
.
39.
Alharby
,
E.
,
M.
Obaid
,
M.A.O.
Elamin
,
M.
Almuntashri
,
I.
Bakhsh
,
M.
Samman
,
R.W.A.
Peake
,
A.
Alasmari
, and
N.A.M.
Almontashiri
.
2021
.
Progressive ataxia and neurologic regression in RFXANK-associated bare lymphocyte syndrome
.
Neurol. Genet.
7
:e586.
40.
Wiszniewski
,
W.
,
M.C.
Fondaneche
,
P.
Louise-Plence
,
A.
Prochnicka-Chalufour
,
F.
Selz
,
C.
Picard
,
F.
Le Deist
,
J.-F.
Eliaou
,
A.
Fischer
, and
B.
Lisowska-Grospierre
.
2003
.
Novel mutations in the RFXANK gene: RFX complex containing in-vitro-generated RFXANK mutant binds the promoter without transactivating MHC II
.
Immunogenetics
.
54
:
747
–
755
.
41.
Al-Herz
,
W.
,
O.
Alsmadi
,
M.
Melhem
,
M.
Recher
,
F.
Frugoni
, and
L.D.
Notarangelo
.
2013
.
Major histocompatibility complex class II deficiency in Kuwait: Clinical manifestations, immunological findings and molecular profile
.
J. Clin. Immunol.
33
:
513
–
519
.
42.
Abu-Arja
,
R.F.
,
B.E.
Gonzalez
,
M.R.
Jacobs
,
L.
Cabral
,
R.
Egler
,
J.
Auletta
,
J.
Arnold
, and
K.R.
Cooke
.
2014
.
Disseminated Bacillus Calmette-Guérin (BCG) infection following allogeneic hematopoietic stem cell transplant in a patient with Bare Lymphocyte Syndrome type II
.
Transpl. Infect. Dis.
16
:
830
–
837
.
43.
Shah
,
R.M.
,
S.
Waugh
,
K.F.
Ng
,
A.R.
Gennery
,
M.
Slatter
, and
A.J.
Cant
.
2017
.
Enterovirus-related immune reconstitution inflammatory syndrome (IRIS) following haploidentical stem cell transplantation in an MHC class II-deficient child
.
J. Clin. Immunol.
37
:
419
–
421
.
44.
Ramanathan
,
S.
,
L.
Veramendi-Espinoza
,
B.
Shillitoe
,
A.
Flinn
,
S.
Owens
,
E.
Williams
,
M.
Emonts
,
S.
Hambleton
,
S.
Burton-Fanning
,
S.
Waugh
, et al
.
2022
.
Haploidentical CD3+ TCR αβ/CD19+-depleted HSCT for MHC class II deficiency and persistent SARS-CoV-2 pneumonitis
.
J. Allergy Clin. Immunol. Glob.
2
:
101
–
104
.
45.
Prod’homme
,
T.
,
B.
Dekel
,
G.
Barbieri
,
B.
Lisowska-Grospierre
,
R.
Katz
,
D.
Charron
,
C.
Alcaide-Loridan
, and
S.
Pollack
.
2003
.
Splicing defect in RFXANK results in a moderate combined immunodeficiency and long-duration clinical course
.
Immunogenetics
.
55
:
530
–
539
.
46.
Farrokhi
,
S.
,
M.
Shabani
,
Z.
Aryan
,
S.
Zoghi
,
A.
Krolo
,
K.
Boztug
, and
N.
Rezaei
.
2018
.
MHC class II deficiency: Report of a novel mutation and special review
.
Allergol. Immunopathol. (Madr)
.
46
:
263
–
275
.
47.
Clarridge
,
K.
,
D.
Leitenberg
,
B.
Loechelt
,
C.
Picard
, and
M.
Keller
.
2016
.
Major histocompatibility complex class II deficiency due to a novel mutation in RFXANK in a child of Mexican descent
.
J. Clin. Immunol.
36
:
4
–
5
.
48.
Sheikhbahaei
,
S.
,
R.
Sherkat
,
D.
Roos
,
M.
Yaran
,
S.
Najafi
, and
A.
Emami
.
2016
.
Gene mutations responsible for primary immunodeficiency disorders: A report from the first primary immunodeficiency biobank in Iran
.
Allergy Asthma Clin. Immunol.
12
:
62
.
49.
Abolnezhadian
,
F.
,
A.
Saeedi-Boroujeni
, and
S.
Iranparast
.
2018
.
MHC class II deficiency with normal CD4+ T cell counts: A case report
.
Iran J. Allergy Asthma Immunol.
17
:
594
–
600
.
50.
Cai
,
Y.Q.
,
H.
Zhang
,
X.Z.
Wang
,
C.
Xu
,
Y.Q.
Chao
,
Y.
Shu
, and
L.F.
Tang
.
2020
.
A novel RFXANK mutation in a Chinese child with MHC II deficiency: Case report and literature review
.
Open Forum Infect. Dis.
7
:
ofaa314
.
51.
Abolnezhadian
,
F.
,
R.
Dehghani
,
S.
Dehnavi
,
A.
Khodadadi
, and
M.
Shohan
.
2020
.
A novel mutation in RFXANK gene and low B cell count in a patient with MHC class II deficiency: A case report
.
Immunol. Res.
68
:
225
–
231
.
52.
Damoiseaux
,
M.
,
J.
Damoiseaux
,
I.
Pico-Knijnenburg
,
M.
van der Burg
,
R.
Bredius
, and
G.
van Well
.
2022
.
Lessons learned from the diagnostic work-up of a patient with the bare lymphocyte syndrome type II
.
Clin. Immunol.
235
:
108932
.
53.
Ünsal
,
H.
,
C.
Caka
,
H.N.
Bildik
,
S.
Esenboğa
,
A.
Kupesiz
,
B.
Kuşkonmaz
,
D.U.
Cetinkaya
,
M.
van der Burg
,
İ.
Tezcan
, and
D.
Çağdaş
.
2024
.
A large single-center cohort of bare lymphocyte syndrome: Immunological and genetic features in Turkey
.
Scand. J. Immunol.
99
:e13335.
54.
Alroqi
,
F.J.
,
M.A.
Alhezam
,
A.I.
Almojali
,
T.
Barhoumi
,
N.
Althubaiti
,
Y.
Alharbi
,
M.A.
Al Balwi
, and
A.
Alrasheed
.
2024
.
Novel presentation of major histocompatibility complex class II deficiency with hemophagocytic lymphohistiocytosis
.
J. Clin. Immunol.
44
:
73
.
55.
Li
,
X.
,
B.
Lu
, and
X.
Luo
.
2024
.
New mutations and new phenotypes: A case of major histocompatibility complex class II deficiency
.
Immunol. Res.
72
:
1268
–
1276
.
56.
Ks
,
A.
,
D.
Satapathy
, and
T.
Arun Babu
.
2025
.
Unmasking MHC class II deficiency: A novel mutation in a child with pediatric ARDS due to pneumocystis Jirovecii pneumonia
.
EJIFCC
.
36
:
407
–
411
.
57.
Nuñez-Nuñez
,
M.E.
,
L.
Valenzuela-Vazquez
,
J.C.
Bustamante-Ogando
,
B.
Bayardo-Gutierrez
,
J.C.
Lona-Reyes
,
E.V.
Estrada-Arce
,
I.
Martinez-Duncker
,
S.O.
Lugo-Reyes
,
S.E.
Espinosa-Padilla
, and
M.E.
Cruz-Muñoz
.
2026
.
A novel pathogenic RFXANK variant causing MHC class II deficiency in two unrelated patients from Mexico
.
Hum. Immunol.
87
:
111655
.
58.
Haskologlu
,
S.
,
C.
Aytekin
,
C.
Islamoglu
,
S.
Kostel Bal
,
K.
Baskın
,
B.
Erman
,
T.
Kendirli
,
S.
Ceylaner
,
F.
Dogu
, and
A.
Ikinciogullari
.
2026
.
Clinical, immunological, treatment characteristics, and outcomes in 22 patients with major histocompatibility complex class II deficiency
.
Front. Immunol.
17
:
1811502
.
59.
van Eggermond
,
M.C.J.A.
,
I.
Tezcan
,
M.H.M.
Heemskerk
, and
P.J.
van den Elsen
.
2008
.
Transcriptional silencing of RFXAP in MHC class II-deficiency
.
Mol. Immunol.
45
:
2920
–
2928
.
60.
Gokturk
,
B.
,
H.
Artac
,
M.J.
van Eggermond
,
P.
van den Elsen
, and
İ.
Reisli
.
2012
.
Type III bare lymphocyte syndrome associated with a novel RFXAP mutation: A case report
.
Int. J. Immunogenet.
39
:
362
–
364
.
61.
Wang
,
J.C.
,
L.
Ross
,
L.W.
Mahon
,
R.
Owen
,
M.
Hemmat
,
B.T.
Wang
,
M.
El Naggar
,
K.A.
Kopita
,
L.M.
Randolph
,
J.M.
Chase
, et al
.
2015
.
Regions of homozygosity identified by oligonucleotide SNP arrays: Evaluating the incidence and clinical utility
.
Eur. J. Hum. Genet.
23
:
663
–
671
.
62.
Aluri
,
J.
,
M.
Gupta
,
A.
Dalvi
,
S.
Mhatre
,
M.
Kulkarni
,
G.
Hule
,
M.
Desai
,
N.
Shah
,
P.
Taur
,
R.
Vedam
, and
M.
Madkaikar
.
2018
.
Clinical, immunological, and molecular findings in five patients with major histocompatibility complex class II deficiency from India
.
Front. Immunol.
9
:
188
.

Author notes

*

L. Lamara Mahammed and B. Belaid contributed equally to this paper.

**

Y.L. Lau and R. Djidjik contributed equally to this paper.

Disclosures: The authors declare that no competing interests.

This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

Data & Figures

Figure 1.
Map of patient distribution across Algerian provinces. The map of Algeria showing the geographic distribution of patients with MHC class 2 deficiency. The map highlights various provinces with numbers indicating patient counts. The provinces are color-coded from light to dark purple, with darker shades representing higher patient counts. Grey areas indicate regions with no patients in the cohort. Key provinces with patient counts include one with 10 patients, another with 9, and several with counts ranging from 1 to 6. The map provides a visual representation of the spread of the condition across the country.

Geographic distribution of patients with MHC-II deficiency across Algerian provinces. Numbers on the map represent patient counts per province; grey areas represent regions with no patients in the cohort. Data were available for 103 patients.

Figure 1.
Map of patient distribution across Algerian provinces. The map of Algeria showing the geographic distribution of patients with MHC class 2 deficiency. The map highlights various provinces with numbers indicating patient counts. The provinces are color-coded from light to dark purple, with darker shades representing higher patient counts. Grey areas indicate regions with no patients in the cohort. Key provinces with patient counts include one with 10 patients, another with 9, and several with counts ranging from 1 to 6. The map provides a visual representation of the spread of the condition across the country.

Geographic distribution of patients with MHC-II deficiency across Algerian provinces. Numbers on the map represent patient counts per province; grey areas represent regions with no patients in the cohort. Data were available for 103 patients.

Close Figure 1.
Figure 2.
Bar graphs showing immunological profiles of patients. Panel A shows a bar graph comparing immunoglobulin levels and major lymphocyte subsets. The horizontal axis lists categories: IgG, IgA, IgM, Lymphocytes, T cells, LT CD4 plus, LT CD8 plus, CD4 plus over CD8 plus ratio, B cells, and NK cells. The vertical axis represents the percentage of patients, ranging from 0 percent to 100 percent. The graph uses three colors: blue for low, orange for normal, and gray for high values. Notable trends include high percentages of patients with low IgA and high LT CD4 plus levels. Panel B shows a bar graph comparing T- and B-cell subsets. The horizontal axis lists categories: RTE, CD4 Naive, CD4 CM, CD4 EM, CD4 TEMRA, CD8 Naive, CD8 CM, CD8 EM, CD8 TEMRA, B nSM, B SM, B Trans, B Plasm, and B CD21 low. The vertical axis represents the percentage of patients, ranging from 0 percent to 100 percent. The graph uses the same color scheme as Panel A. Notable trends include high percentages of patients with low RTE and high CD4 TEMRA levels.

Immunological profile of patients with MHC class II deficiency . (A) Distribution of immunoglobulin levels and major lymphocyte subsets. (B) Distribution of T- and B-cell subsets. The panels show the proportions of patients with decreased, normal, or increased values for each parameter according to age-matched reference ranges. Denominators indicate available data for each parameter: IgG (n = 85), IgA (n = 100), IgM (n = 101), total lymphocytes/T/B/NK cells (n = 105), RTE (n = 75), T-cell subsets (n = 50), and B-cell subsets (n = 69). CM, central memory; EM, effector memory; Ig, immunoglobulins; NK, natural killer; nSM, non-switched memory; Plasm, plasmablasts; RTE, recent thymic emigrant; TEMRA, terminally differentiated effector memory re-expressing CD45RA; Trans, transitional; SM, switched memory.

Figure 2.
Bar graphs showing immunological profiles of patients. Panel A shows a bar graph comparing immunoglobulin levels and major lymphocyte subsets. The horizontal axis lists categories: IgG, IgA, IgM, Lymphocytes, T cells, LT CD4 plus, LT CD8 plus, CD4 plus over CD8 plus ratio, B cells, and NK cells. The vertical axis represents the percentage of patients, ranging from 0 percent to 100 percent. The graph uses three colors: blue for low, orange for normal, and gray for high values. Notable trends include high percentages of patients with low IgA and high LT CD4 plus levels. Panel B shows a bar graph comparing T- and B-cell subsets. The horizontal axis lists categories: RTE, CD4 Naive, CD4 CM, CD4 EM, CD4 TEMRA, CD8 Naive, CD8 CM, CD8 EM, CD8 TEMRA, B nSM, B SM, B Trans, B Plasm, and B CD21 low. The vertical axis represents the percentage of patients, ranging from 0 percent to 100 percent. The graph uses the same color scheme as Panel A. Notable trends include high percentages of patients with low RTE and high CD4 TEMRA levels.

Immunological profile of patients with MHC class II deficiency . (A) Distribution of immunoglobulin levels and major lymphocyte subsets. (B) Distribution of T- and B-cell subsets. The panels show the proportions of patients with decreased, normal, or increased values for each parameter according to age-matched reference ranges. Denominators indicate available data for each parameter: IgG (n = 85), IgA (n = 100), IgM (n = 101), total lymphocytes/T/B/NK cells (n = 105), RTE (n = 75), T-cell subsets (n = 50), and B-cell subsets (n = 69). CM, central memory; EM, effector memory; Ig, immunoglobulins; NK, natural killer; nSM, non-switched memory; Plasm, plasmablasts; RTE, recent thymic emigrant; TEMRA, terminally differentiated effector memory re-expressing CD45RA; Trans, transitional; SM, switched memory.

Close Figure 2.
+ Expand view − Collapse view
Figure S1.
Figure S1. Refer to the image caption for details. Panel A shows flow cytometry plots showing the gating strategy for major lymphocyte subsets. The first plot displays all events with forward scatter area (FSC-A) on the horizontal axis and side scatter area (SSC-A) on the vertical axis. The second plot shows leukocytes with FSC-A on the horizontal axis and FSC-H on the vertical axis. The third plot displays singlets with SSC-A on the horizontal axis and CD45 on the vertical axis. The fourth plot shows leukocyte-CD45 positive with SSC-A on the horizontal axis and CD45 on the vertical axis. The fifth plot displays lymphocytes with SSC-A on the horizontal axis and CD3 on the vertical axis. The sixth plot shows CD3+ T cells with CD8 on the horizontal axis and CD4 on the vertical axis. The seventh plot displays CD3- cells with CD19 on the horizontal axis and CD16/CD56 on the vertical axis. Panel B shows flow cytometry plots showing HLA-DR expression on monocytes and CD19+ B cells. The first plot displays all events with FSC-A on the horizontal axis and SSC-A on the vertical axis. The second plot shows leukocytes with FSC-A on the horizontal axis and SSC-A on the vertical axis. The third plot displays lymphocytes with SSC-A on the horizontal axis and CD19 on the vertical axis. The fourth histogram shows monocytes with HLA-DR on the horizontal axis and count on the vertical axis. The fifth histogram displays CD19 positive B cells with HLA-DR on the horizontal axis and count on the vertical axis.

Gating strategy for major lymphocyte subsets and assessment of HLA-DR expression. (A) Main lymphocyte subsets: T, B, NK cells. (B) HLA-DR expression on monocytes and CD19+ B cells is shown for the patient (blue), the isotype control (pink), and a healthy control (red).

Figure S1.
A multi-panel image showing lymphocyte subsets and HLA-DR expression. Panel A shows flow cytometry plots showing the gating strategy for major lymphocyte subsets. The first plot displays all events with forward scatter area (FSC-A) on the horizontal axis and side scatter area (SSC-A) on the vertical axis. The second plot shows leukocytes with FSC-A on the horizontal axis and FSC-H on the vertical axis. The third plot displays singlets with SSC-A on the horizontal axis and CD45 on the vertical axis. The fourth plot shows leukocyte-CD45 positive with SSC-A on the horizontal axis and CD45 on the vertical axis. The fifth plot displays lymphocytes with SSC-A on the horizontal axis and CD3 on the vertical axis. The sixth plot shows CD3+ T cells with CD8 on the horizontal axis and CD4 on the vertical axis. The seventh plot displays CD3- cells with CD19 on the horizontal axis and CD16/CD56 on the vertical axis. Panel B shows flow cytometry plots showing HLA-DR expression on monocytes and CD19+ B cells. The first plot displays all events with FSC-A on the horizontal axis and SSC-A on the vertical axis. The second plot shows leukocytes with FSC-A on the horizontal axis and SSC-A on the vertical axis. The third plot displays lymphocytes with SSC-A on the horizontal axis and CD19 on the vertical axis. The fourth histogram shows monocytes with HLA-DR on the horizontal axis and count on the vertical axis. The fifth histogram displays CD19 positive B cells with HLA-DR on the horizontal axis and count on the vertical axis.

Gating strategy for major lymphocyte subsets and assessment of HLA-DR expression. (A) Main lymphocyte subsets: T, B, NK cells. (B) HLA-DR expression on monocytes and CD19+ B cells is shown for the patient (blue), the isotype control (pink), and a healthy control (red).

Close Figure S1.
+ Expand view − Collapse view
Figure S2.
Figure S2. Refer to the image caption for details. Panel A shows flow cytometry plots showing T cell immunophenotyping. The first plot displays all events with forward scatter area (FSC, A) on the horizontal axis and side scatter area (SSC, A) on the vertical axis. The second plot shows lymphocytes with CD3 on the horizontal axis. The third plot depicts CD3 positive T cells with CD8 on the vertical axis and CD4 on the horizontal axis. The fourth plot shows CD4 positive T cells with CD45RO on the vertical axis and CD45RA on the horizontal axis. The fifth plot displays CD8 positive T cells with CD45RO on the vertical axis and CD45RA on the horizontal axis. The sixth plot shows CD4 positive T cells with CD31 on the horizontal axis and CD45RA on the vertical axis. The seventh and eighth plots depict CD4 positive and CD8 positive T cells with CCR7 on the vertical axis and CD45RA on the horizontal axis. Panel B shows flow cytometry plots showing B cell immunophenotyping. The first plot displays all events with FSC, A on the horizontal axis and SSC, A on the vertical axis. The second plot shows lymphocytes with CD19 on the horizontal axis. The third plot depicts CD19 positive B cells with IgD on the horizontal axis and CD27 on the vertical axis. The fourth plot shows CD19 positive B cells with CD24 on the vertical axis and CD38 on the horizontal axis. The fifth plot displays CD19 positive B cells with CD21 on the vertical axis and CD38 on the horizontal axis.

Gating strategy for extended T and B cell immunophenotyping. (A) Extended T cell immunophenotyping. (B) Extended B cell immunophenotyping.

Figure S2.
Flow cytometry plots showing T-cell and B-cell immunophenotyping. Panel A shows flow cytometry plots showing T cell immunophenotyping. The first plot displays all events with forward scatter area (FSC, A) on the horizontal axis and side scatter area (SSC, A) on the vertical axis. The second plot shows lymphocytes with CD3 on the horizontal axis. The third plot depicts CD3 positive T cells with CD8 on the vertical axis and CD4 on the horizontal axis. The fourth plot shows CD4 positive T cells with CD45RO on the vertical axis and CD45RA on the horizontal axis. The fifth plot displays CD8 positive T cells with CD45RO on the vertical axis and CD45RA on the horizontal axis. The sixth plot shows CD4 positive T cells with CD31 on the horizontal axis and CD45RA on the vertical axis. The seventh and eighth plots depict CD4 positive and CD8 positive T cells with CCR7 on the vertical axis and CD45RA on the horizontal axis. Panel B shows flow cytometry plots showing B cell immunophenotyping. The first plot displays all events with FSC, A on the horizontal axis and SSC, A on the vertical axis. The second plot shows lymphocytes with CD19 on the horizontal axis. The third plot depicts CD19 positive B cells with IgD on the horizontal axis and CD27 on the vertical axis. The fourth plot shows CD19 positive B cells with CD24 on the vertical axis and CD38 on the horizontal axis. The fifth plot displays CD19 positive B cells with CD21 on the vertical axis and CD38 on the horizontal axis.

Gating strategy for extended T and B cell immunophenotyping. (A) Extended T cell immunophenotyping. (B) Extended B cell immunophenotyping.

Close Figure S2.
Figure 3.
A two-panel image of genetic variants in RFXANK and RFXAP genes. Panel A shows the structure of the RFXANK gene with labeled variants. The previously reported mutation c.338-25_338del is depicted at the top, while the novel variants c.565-1del, c.677dup, and c.734A>C are shown below. Panel B illustrates the structure of the RFXAP gene with labeled variants. The previously reported mutation c.368del is shown at the top, and the novel variant c.320dup is depicted below.

Detailed representation of RFXANK and RFXAP variants identified in the present study. (A) Schematic representation of RFXANK variants. The previously reported mutation (c.338-25_338del) is shown at the top, whereas the three novel variants (c.565-1del, c.677dup and c.734A>C) are shown below. (B) Schematic representation of RFXAP variants. The previously reported mutation (c.368del) is shown at the top, whereas the novel variant (c.320dup) is shown below.

Figure 3.
A two-panel image of genetic variants in RFXANK and RFXAP genes. Panel A shows the structure of the RFXANK gene with labeled variants. The previously reported mutation c.338-25_338del is depicted at the top, while the novel variants c.565-1del, c.677dup, and c.734A>C are shown below. Panel B illustrates the structure of the RFXAP gene with labeled variants. The previously reported mutation c.368del is shown at the top, and the novel variant c.320dup is depicted below.

Detailed representation of RFXANK and RFXAP variants identified in the present study. (A) Schematic representation of RFXANK variants. The previously reported mutation (c.338-25_338del) is shown at the top, whereas the three novel variants (c.565-1del, c.677dup and c.734A>C) are shown below. (B) Schematic representation of RFXAP variants. The previously reported mutation (c.368del) is shown at the top, whereas the novel variant (c.320dup) is shown below.

Close Figure 3.
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Figure S3.
Figure S3. Refer to the image caption for details. The table comparing the conservation of the RFXANK p.His245 residue across various vertebrate species and the domain structure of the RFXANK protein. The table has rows and columns. Column headers are labeled with amino acid positions from 235 to 255. Row labels include Human, Chimpanzee, Macaque, Dog, Cat, Cattle, Mouse, Rat, Chicken, Xenopus, and Zebrafish. Each cell contains single-letter amino acid codes. The variant position 245 is highlighted in red. The domain structure diagram below the table shows the N-terminal region, ANK1, ANK2, ANK3, and ANK4 domains of the RFXANK protein, with the variant position 245 marked within the ANK4 domain.

Conservation of the RFXANK p.His245 residue across vertebrates and domain structure of RFXANK (260 aa) and position of p.His245. *Xenopus tropicalis (XP_002936373.2): deposited isoform sequence truncated downstream of position 254.

Figure S3.
Table comparing amino acid sequences across species and domain structure of RFXANK protein. The table comparing the conservation of the RFXANK p.His245 residue across various vertebrate species and the domain structure of the RFXANK protein. The table has rows and columns. Column headers are labeled with amino acid positions from 235 to 255. Row labels include Human, Chimpanzee, Macaque, Dog, Cat, Cattle, Mouse, Rat, Chicken, Xenopus, and Zebrafish. Each cell contains single-letter amino acid codes. The variant position 245 is highlighted in red. The domain structure diagram below the table shows the N-terminal region, ANK1, ANK2, ANK3, and ANK4 domains of the RFXANK protein, with the variant position 245 marked within the ANK4 domain.

Conservation of the RFXANK p.His245 residue across vertebrates and domain structure of RFXANK (260 aa) and position of p.His245. *Xenopus tropicalis (XP_002936373.2): deposited isoform sequence truncated downstream of position 254.

Close Figure S3.
+ Expand view − Collapse view
Figure S4.
Figure S4. Refer to the image caption for details. The horizontal axis represents HLA-DR expression levels, ranging from minus 10 superscript 3 to 10 superscript 5. The vertical axis represents the frequency of cells. The histogram includes six separate distributions: Healthy control, Isotype control, and four patient samples with different variants. Each distribution is color-coded: brown for Healthy control, dark green for Isotype control, light green for Patient (RFXANK, c.565-1delG), orange for Patient (RFXANK; p.M227Dfs*32), red for Patient (RFXANK; p.H245P), and blue for Patient (RFXAP; p.S107Rfs asterisk 69). The Healthy control shows a broad distribution, while the Isotype control and patient samples show narrow peaks near the zero expression level.

HLA-DR expression on B cells in patients carrying novel variants.

Figure S4.
Histogram showing HLA-DR expression in different samples. The horizontal axis represents HLA-DR expression levels, ranging from minus 10 superscript 3 to 10 superscript 5. The vertical axis represents the frequency of cells. The histogram includes six separate distributions: Healthy control, Isotype control, and four patient samples with different variants. Each distribution is color-coded: brown for Healthy control, dark green for Isotype control, light green for Patient (RFXANK, c.565-1delG), orange for Patient (RFXANK; p.M227Dfs*32), red for Patient (RFXANK; p.H245P), and blue for Patient (RFXAP; p.S107Rfs asterisk 69). The Healthy control shows a broad distribution, while the Isotype control and patient samples show narrow peaks near the zero expression level.

HLA-DR expression on B cells in patients carrying novel variants.

Close Figure S4.
Figure 4.
Graphs depict clinical outcomes and survival of patients with MHC-II deficiency. Panel A shows a pie chart with the distribution of patients according to transplantation status. The chart indicates that 89.7 percent of patients did not undergo HSCT, 6.6 percent underwent HSCT, and 3.7 percent had insufficient follow-up information. Panel B shows a pie chart with the outcome of transplanted patients, indicating that 28.6 percent are dead and 71.4 percent are alive. Panel C shows a pie chart with the outcome of non-transplanted patients, indicating that 66.7 percent are dead and 33.3 percent are alive. Panel D shows a Kaplan-Meier survival curve for non-transplanted patients with available time-to-event data, with the x-axis labeled Time from birth (months) and the y-axis labeled Survival probability. The median survival is 56 months with a 95 percent confidence interval of 42.8 to 69.2 months. Panel E shows Kaplan-Meier survival curves according to genotype among non-transplanted patients with available time-to-event data, with the x-axis labeled Time from birth (months) and the y-axis labeled Survival probability. The curves compare the RFXANK c.338-25 underscore 338del genotype with the RFXAP c.368del genotype, showing a significant difference in survival probabilities with a log-rank p-value of less than 0.001.

Clinical outcomes and survival of patients with MHC-II deficiency. (A) Distribution of patients according to transplantation status. (B) Outcome of transplanted patients. (C) Outcome of non-transplanted patients. (D) Kaplan–Meier survival curve of non-transplanted patients with available time-to-event data (N = 86). (E) Kaplan–Meier survival curves according to genotype (RFXANK c.338-25_338del versus RFXAP c.368del) among non-transplanted patients with available time-to-event data (N = 74 [RFXANK group n = 59; RFXAP group n = 15]).

Figure 4.
Graphs depict clinical outcomes and survival of patients with MHC-II deficiency. Panel A shows a pie chart with the distribution of patients according to transplantation status. The chart indicates that 89.7 percent of patients did not undergo HSCT, 6.6 percent underwent HSCT, and 3.7 percent had insufficient follow-up information. Panel B shows a pie chart with the outcome of transplanted patients, indicating that 28.6 percent are dead and 71.4 percent are alive. Panel C shows a pie chart with the outcome of non-transplanted patients, indicating that 66.7 percent are dead and 33.3 percent are alive. Panel D shows a Kaplan-Meier survival curve for non-transplanted patients with available time-to-event data, with the x-axis labeled Time from birth (months) and the y-axis labeled Survival probability. The median survival is 56 months with a 95 percent confidence interval of 42.8 to 69.2 months. Panel E shows Kaplan-Meier survival curves according to genotype among non-transplanted patients with available time-to-event data, with the x-axis labeled Time from birth (months) and the y-axis labeled Survival probability. The curves compare the RFXANK c.338-25 underscore 338del genotype with the RFXAP c.368del genotype, showing a significant difference in survival probabilities with a log-rank p-value of less than 0.001.

Clinical outcomes and survival of patients with MHC-II deficiency. (A) Distribution of patients according to transplantation status. (B) Outcome of transplanted patients. (C) Outcome of non-transplanted patients. (D) Kaplan–Meier survival curve of non-transplanted patients with available time-to-event data (N = 86). (E) Kaplan–Meier survival curves according to genotype (RFXANK c.338-25_338del versus RFXAP c.368del) among non-transplanted patients with available time-to-event data (N = 74 [RFXANK group n = 59; RFXAP group n = 15]).

Close Figure 4.
Figure 5.
A two-panel image of protein-domain mapping for RFXANK and RFXAP variants. Panel A shows the distribution of RFXANK mutations, including missense, nonsense, frameshift, and splice-site variants. Previously reported mutations are marked in color, while new variants are in black. Panel B shows the distribution of RFXAP mutations using the same annotation. The diagram includes labels for protein domains such as PEST, ARD, Acidic, NLS, and Gln-rich regions.

Protein-domain mapping of RFXANK and RFXAP variants from the literature and the present study. (A) Distribution of RFXANK mutations along the protein, including missense, nonsense, frameshift, and splice-site variants. Previously reported mutations are shown in color, whereas new variants identified in the present cohort are shown in black. (B) Distribution of RFXAP mutations using the same annotation. Protein domain organization adapted from Gulec Koksal et al. (13). ARD, ankyrin repeat domain; Gln, glutamine; NLS, nuclear localization signal; PEST, proline-, glutamate-, serine-, and threonine-rich region.

Figure 5.
A two-panel image of protein-domain mapping for RFXANK and RFXAP variants. Panel A shows the distribution of RFXANK mutations, including missense, nonsense, frameshift, and splice-site variants. Previously reported mutations are marked in color, while new variants are in black. Panel B shows the distribution of RFXAP mutations using the same annotation. The diagram includes labels for protein domains such as PEST, ARD, Acidic, NLS, and Gln-rich regions.

Protein-domain mapping of RFXANK and RFXAP variants from the literature and the present study. (A) Distribution of RFXANK mutations along the protein, including missense, nonsense, frameshift, and splice-site variants. Previously reported mutations are shown in color, whereas new variants identified in the present cohort are shown in black. (B) Distribution of RFXAP mutations using the same annotation. Protein domain organization adapted from Gulec Koksal et al. (13). ARD, ankyrin repeat domain; Gln, glutamine; NLS, nuclear localization signal; PEST, proline-, glutamate-, serine-, and threonine-rich region.

Close Figure 5.
Table 1.

Demographic and clinical characteristics of patients

CharacteristicsN = 107
Consanguinity, n (%) 65 (60.7) 
Family history, n (%) 47 (43.9) 
Sex, male/female (ratio) 65/42 (1.5) 
Age at onset (months), median (Q1, Q3) 5 (3, 9) 
Age at diagnosis (months), median (Q1, Q3) 14 (6, 32) 
Diagnostic delay (months), median (Q1, Q3) 9 (3, 19) 
Clinical presentation on admissiona, n (%) 
Recurrent pneumonia 82 (82) 
Chronic diarrhea 73 (73) 
ENT recurrent infections 35 (35) 
Failure to thrive 34 (34) 
Oral thrush 29 (29) 
Urinary tract infections 17 (17) 
Cutaneous manifestations 17 (17) 
—Skin infections 12/17 (70.5) 
—Eczema 2/17 (11.8) 
—Maculopapular rash 2/17 (11.8) 
—Erythematovesicular lesions 1/17 (5.9) 
Neurological features 12 (12) 
—Nystagmus 5/12 (41.7) 
—Inflammatory central nervous system disorders 4/12 (33.3) 
—Psychomotor developmental delay 2/12 (16.7) 
—Hypotonia 2/12 (16.7) 
—Seizures 1/12 (8.3) 
Fungal gastrointestinal infections 8 (8) 
Lymphoproliferative manifestations 7 (7) 
—Lymphadenopathy 5/7 (71.4) 
—Splenomegaly 2/7 (28.6) 
—Hepatomegaly 1/7 (14.3) 
Septicemia 6 (6) 
Autoimmunity 5 (5) 
—Autoimmune thyroiditis 2/5 (40) 
—Autoimmune hemolytic anemia 2/5 (40) 
—Thrombocytopenia 1/5 (20) 
Allergic manifestations 3 (3) 
—Allergic asthma 2/3 (66.7) 
—Cow’s milk protein allergy 1/3 (33.3) 
Inflammatory gastrointestinal manifestations 2 (2) 
Cholangiectasis 1 (1) 
a

Clinical data were restricted to 100 symptomatic patients, excluding seven asymptomatic cases screened during the neonatal period because of a familial history of the disease. Subcategory percentages were calculated using the number of patients within the corresponding clinical category as the denominator. Patients could present with more than one manifestation. ENT, ear, nose, and throat.

Table 2.

Summary of the genetic mutations

GeneNucleotide change (HGVS)Protein changeVariant typeInheritanceVariant characteristicsCarriers, n
RFXANK c.338-25_338del / Splice Homozygous Reported pathogenic 71 
RFXANK c.565-1del / Splice Homozygous Novel
ACMG: pathogenic
Splice AI Δ score: 0.97 for acceptor loss 
3 
RFXANK c.677dup p. Met227AspfsTer32 Frameshift duplication Homozygous Novel
ACMG: pathogenic 
2 
RFXANK c.734A>C p.His245Pro Missense Homozygous Novel
ACMG: likely pathogenic
PolyPhen-2 score: 1
SIFT score: 0
CADD PHRED score: 28.1
REVEL: 0.464 
1 
RFXAP c.368del p.Ser123ThrfsTer15 Frameshift deletion Homozygous Reported pathogenic 21 
RFXAP c.320dup p.Ser107ArgfsTer69 Frameshift duplication Homozygous Novel
ACMG: pathogenic 
1 
Table 3.

Comparative analysis of patients with RFXANK c.338-25_338del mutation and those with the RFXAP c.368del mutation

CharacteristicsRFXANK
c.338-25_338del (n = 71)
RFXAP
c.368del (n = 21)
P
Age at onset (months), median (Q1–Q3) 6 (3.8–12) 3 (2–5) 0.002 
Age at diagnosis (months), median (Q1–Q3) 21 (11.5–48) 6 (5–8) <0.001 
Calendar year of diagnosis, median (IQR) 2021 (2017–2023) 2022 (2020–2023) 0.246 
Clinical presentation on admissiona, n (%) 
Recurrent pneumonia 53 (77.9) 18 (90) 0.339 
Persistent diarrhea 51 (75) 13 (65) 0.377 
ENT recurrent infections 28 (41.2) 2 (10) 0.014 
Failure to thrive 27 (39.7) 6 (30) 0.431 
Oral thrush 18 (26.5) 6 (30) 0.755 
Urinary tract infections 14 (20.6) 3 (15) 0.752 
Neurological features 5 (7.4) 7 (35) 0.002 
Skin infections 11 (16.2) 0 (0) 0.063 
Fungal gastrointestinal infections 6 (8.8) 1 (5) 1 
Lymphoproliferation 5 (7.4) 0 (0) 0.584 
Septicemia 5 (7.4) 1 (5) 1 
Autoimmunity 5 (7.4) 0 (0) 0.584 
Non-infectious cutaneous manifestations 4 (5.9) 1 (5) 1 
Allergic manifestations 2 (2.9) 1 (5) 0.543 
Inflammatory gastrointestinal manifestations 2 (2.9) 0 (0) 1 
Immunological assessmentb ​ ​ ​ 
IgG (g/L), median (Q1–Q3) 3.3 (1.2–6) 0.7 (0.4–1.7) <0.001 
Low IgG, n/N (%) 28/53 (52.8) 15/20 (75) 0.086 
IgA (g/L), median (Q1–Q3) 0.1 (0.06–0.26) 0.06 (0.02–0.26) 0.104 
Low IgA, n/N (%) 48/68 (70.6) 17/20 (85) 0.255 
IgM (g/L), median (Q1–Q3) 0.4 (0.2–0.7) 0.2 (0.1–0.4) 0.012 
Low IgM, n/N (%) 29/68 (42.6) 13/21 (61.9) 0.122 
Lymphocytes (cells/μl), median (Q1–Q3) 2,828 (1,708–4,352) 2,299 (1,728–3,892) 0.610 
Low lymphocyte count, n/N (%) 19/69 (27.5) 7/21 (33.3) 0.608 
T cells (cells/μl), median (Q1–Q3) 1,276 (683–2,640) 908 (440–2,167) 0.196 
Low T cell count, n/N (%) 41/69 (59.4) 17/21 (80.9) 0.117 
CD4+ T cells (cells/μl), median (Q1–Q3) 346 (233–578) 307 (129–617) 0.262 
Low CD4+ T cell count, n/N (%) 59/69 (85.5) 21/21 (100) 0.109 
Inverted CD4+/CD8+ T cell ratio, n/N (%) 45/69 (65.2) 18/21 (85.7) 0.103 
Low naïve CD4+ T cell frequency, n/N (%) 26/32 (81.3) 14/14 (100) 0.157 
Outcomesc ​ ​ ​ 
Dead, n (%) 39 (61.9) 16 (84.2) 0.096 
Age of death (months), median (Q1–Q3) 48 (26–66) 12.5 (6.3–20.3) <0.001 

ENT, ear, nose, and throat.

All bold values are statistically significant p-values (p < 0.05).

a

Percentages were calculated among symptomatic patients: RFXANK (n = 68) and RFXAP (n = 20).

b

For immunological parameters, denominators varied according to data availability, as complete immunologic assessment was not available for all patients.

c

Percentages were calculated among patients who did not undergo hematopoietic stem cell transplantation: RFXANK (n = 63) and RFXAP (n = 19).

References

1.
Lisowska-Grospierre
,
B.
,
A.
Durandy
,
J.L.
Virelizier
,
A.
Fischer
, and
C.
Griscelli
.
1983
.
Combined immunodeficiency with defective expression of HLA: Modulation of an abnormal HLA synthesis and functional studies
.
Birth Defects Orig. Artic. Ser.
19
:
87
–
91
.
2.
Reith
,
W.
,
S.
Satola
,
C.H.
Sanchez
,
I.
Amaldi
,
B.
Lisowska-Grospierre
,
C.
Griscelli
,
M.R.
Hadam
, and
B.
Mach
.
1988
.
Congenital immunodeficiency with a regulatory defect in MHC class II gene expression lacks a specific HLA-DR promoter binding protein, RF-X
.
Cell
.
53
:
897
–
906
.
3.
Griscelli
,
C.
,
B.
Lisowska-Grospierre
,
F.
Le Deist
,
A.
Durandy
,
A.
Marcadet
,
A.
Fischer
,
C.
de Preval
, and
B.
Mach
.
1989
.
Combined immunodeficiency with abnormal expression of MHC class II genes
.
Clin. Immunol. Immunopathol.
50
:
S140
–
S148
.
4.
Aghamohammadi
,
A.
,
N.
Rezaei
,
R.
Yazdani
,
S.
Delavari
,
N.
Kutukculer
,
E.
Topyildiz
,
A.
Ozen
,
S.
Baris
,
E.
Karakoc-Aydiner
,
S.S.
Kilic
, et al
.
2021
.
Consensus Middle East and North Africa registry on inborn errors of immunity
.
J. Clin. Immunol.
41
:
1339
–
1351
.
5.
Wiszniewski
,
W.
,
M.-C.
Fondaneche
,
N.
Lambert
,
K.
Masternak
,
C.
Picard
,
L.
Notarangelo
,
K.
Schwartz
,
J.
Bal
,
W.
Reith
,
C.
Alcaide
, et al
.
2000
.
Founder effect for a 26-bp deletion in the RFXANK gene in North African major histocompatibility complex class II-deficient patients belonging to complementation group B
.
Immunogenetics
.
51
:
261
–
267
.
6.
Naamane
,
H.
,
O.
El Maataoui
,
F.
Ailal
,
A.
Barakat
,
S.
Bennani
,
J.
Najib
,
M.
Hassar
,
R.
Saile
, and
A.A.
Bousfiha
.
2010
.
The 752delG26 mutation in the RFXANK gene associated with major histocompatibility complex class II deficiency: Evidence for a founder effect in the Moroccan population
.
Eur. J. Pediatr.
169
:
1069
–
1074
.
7.
Ouederni
,
M.
,
Q.B.
Vincent
,
P.
Frange
,
F.
Touzot
,
S.
Scerra
,
M.
Bejaoui
,
A.
Bousfiha
,
Y.
Levy
,
B.
Lisowska-Grospierre
,
D.
Canioni
, et al
.
2011
.
Major histocompatibility complex class II expression deficiency caused by a RFXANK founder mutation: A survey of 35 patients
.
Blood
.
118
:
5108
–
5118
.
8.
Djidjik
,
R.
,
N.
Messaoudani
,
A.
Tahiat
,
Y.
Meddour
,
S.
Chaib
,
A.
Atek
,
M.E.
Khiari
,
N.K.
Benhalla
,
L.
Smati
,
A.
Bensenouci
, et al
.
2012
.
Clinical, immunological and genetic features in eleven Algerian patients with major histocompatibility complex class II expression deficiency
.
Allergy Asthma Clin. Immunol.
8
:
14
.
9.
Ben-Mustapha
,
I.
,
K.
Ben-Farhat
,
N.
Guirat-Dhouib
,
E.
Dhemaied
,
B.
Larguèche
,
M.
Ben-Ali
,
J.
Chemli
,
J.
Bouguila
,
L.
Ben-Mansour
,
F.
Mellouli
, et al
.
2013
.
Clinical, immunological and genetic findings of a large tunisian series of major histocompatibility complex class II deficiency patients
.
J. Clin. Immunol.
33
:
865
–
870
.
10.
Hanna
,
S.
, and
A.
Etzioni
.
2014
.
MHC class I and II deficiencies
.
J. Allergy Clin. Immunol.
134
:
269
–
275
.
11.
El Hawary
,
R.E.
,
A.A.
Mauracher
,
S.S.
Meshaal
,
A.
Eldash
,
D.S.
Abd Elaziz
,
R.
Alkady
,
S.
Lotfy
,
L.
Opitz
,
N.M.
Galal
,
J.A.
Boutros
, et al
.
2019
.
MHC-II deficiency among Egyptians: Novel mutations and unique phenotypes
.
J. Allergy Clin. Immunol. Pract.
7
:
856
–
863
.
12.
Mousavi Khorshidi
,
M.S.
,
Y.
Seeleuthner
,
Z.
Chavoshzadeh
,
M.
Behfar
,
A.A.
Hamidieh
,
H.
Alimadadi
,
R.
Sherkat
,
T.
Momen
,
N.
Behniafard
,
S.
Eskandarzadeh
, et al
.
2023
.
Clinical, immunological, and genetic findings in Iranian patients with MHC-II deficiency: Confirmation of c.162delG RFXANK founder mutation in the Iranian population
.
J. Clin. Immunol.
43
:
1941
–
1952
.
13.
Gulec Koksal
,
Z.
,
S.
Bilgic Eltan
,
E.
Topyildiz
,
A.
Sezer
,
S.
Keles
,
F.
Celebi Celik
,
A.
Ozhan Kont
,
B.
Gemici Karaaslan
,
A.P.
Sefer
,
Z.
Karali
, et al
.
2024
.
MHC class II deficiency: Clinical, immunological, and genetic insights in a large multicenter cohort
.
J. Allergy Clin. Immunol. Pract.
12
:
2490
–
2502.e6
.
14.
Kattra
,
A.B.
,
I.
Benhsaien
,
A.
Drissi Bourhanbour
,
Z.
Aadam
,
A.
Errami
,
F.
Ailal
,
A.A.
Bousfiha
, and
J.
El Bakkouri
.
2025
.
Major histocompatibility complex class II deficiency beyond infancy
.
Case Reports Immunol.
2025
:
8570051
.
15.
Lum
,
S.H.
,
B.
Neven
,
M.A.
Slatter
, and
A.R.
Gennery
.
2019
.
Hematopoietic cell transplantation for MHC class II deficiency
.
Front. Pediatr.
7
:
516
.
16.
Castagnoli
,
R.
,
O.M.
Delmonte
,
E.
Calzoni
, and
L.D.
Notarangelo
.
2019
.
Hematopoietic stem cell transplantation in primary immunodeficiency diseases: Current status and future perspectives
.
Front. Pediatr.
7
:
295
.
17.
Seidel
,
M.G.
,
G.
Kindle
,
B.
Gathmann
,
I.
Quinti
,
M.
Buckland
,
J.
van Montfrans
,
R.
Scheible
,
S.
Rusch
,
L.M.
Gasteiger
,
B.
Grimbacher
, et al
.
2019
.
The European society for immunodeficiencies (ESID) registry working definitions for the clinical diagnosis of inborn errors of immunity
.
J. Allergy Clin. Immunol. Pract.
7
:
1763
–
1770
.
18.
Belaid
,
B.
,
L.
Lamara Mahammed
,
O.
Drali
,
A.M.
Oussaid
,
N.S.
Touri
,
S.
Melzi
,
A.
Dehimi
,
L.M.
Berkani
,
F.
Merah
,
Z.
Larab
, et al
.
2022
.
Inborn errors of immunity in Algerian children and adults: A single-center experience over a period of 13 years (2008-2021)
.
Front. Immunol.
13
:
900091
.
19.
Villard
,
J.
,
B.
Lisowska-Grospierre
,
P.
van den Elsen
,
A.
Fischer
,
W.
Reith
, and
B.
Mach
.
1997
.
Mutation of RFXAP, a regulator of MHC class II genes, in primary MHC class II deficiency
.
N. Engl. J. Med.
337
:
748
–
753
.
20.
Kawabe
,
T.
,
J.
Yi
, and
J.
Sprent
.
2021
.
Homeostasis of naive and memory T lymphocytes
.
Cold Spring Harb. Perspect. Biol.
13
:
a037879
.
21.
Jameson
,
S.C.
, and
D.
Masopust
.
2018
.
Understanding subset diversity in T cell memory
.
Immunity
.
48
:
214
–
226
.
22.
Klocperk
,
A.
,
D.
Friedmann
,
A.E.
Schlaak
,
S.
Unger
,
Z.
Parackova
,
S.
Goldacker
,
A.
Sediva
,
B.
Bengsch
, and
K.
Warnatz
.
2022
.
Distinct CD8 T cell populations with differential exhaustion profiles associate with secondary complications in common variable immunodeficiency
.
J. Clin. Immunol.
42
:
1254
–
1269
.
23.
Morbach
,
H.
,
E.M.
Eichhorn
,
J.G.
Liese
, and
H.J.
Girschick
.
2010
.
Reference values for B cell subpopulations from infancy to adulthood
.
Clin. Exp. Immunol.
162
:
271
–
279
.
24.
Schatorjé
,
E.J.H.
,
E.F.A.
Gemen
,
G.J.A.
Driessen
,
J.
Leuvenink
,
R.W.N.M.
van Hout
,
M.
van der Burg
, and
E.
de Vries
.
2011
.
Age-matched reference values for B-lymphocyte subpopulations and CVID classifications in children
.
Scand. J. Immunol.
74
:
502
–
510
.
25.
Durand
,
B.
,
P.
Sperisen
,
P.
Emery
,
E.
Barras
,
M.
Zufferey
,
B.
Mach
, and
W.
Reith
.
1997
.
RFXAP, a novel subunit of the RFX DNA binding complex is mutated in MHC class II deficiency
.
EMBO J.
16
:
1045
–
1055
.
26.
Fondaneche
,
M.C.
,
J.
Villard
,
W.
Wiszniewski
,
E.
Jouanguy
,
A.
Etzioni
,
F.
Le Deist
,
A.
Peijnenburg
,
J.L.
Casanova
,
W.
Reith
,
B.
Mach
, et al
.
1998
.
Genetic and molecular definition of complementation group D in MHC class II deficiency
.
Hum. Mol. Genet.
7
:
879
–
885
.
27.
Schmetterer
,
K.G.
,
M.G.
Seidel
,
U.
Körmöczi
,
A.
Rottal
,
K.
Schwarz
,
S.
Matthes-Martin
,
P.
Steinberger
, and
W.F.
Pickl
.
2010
.
Two newly diagnosed HLA class II-deficient patients identified by rapid vector-based complementation analysis reveal discoordinate invariant chain expression levels
.
Int. Arch. Allergy Immunol.
152
:
390
–
400
.
28.
Kattra
,
A.B.
,
F.
Ailal
,
I.
Benhsaien
,
N.
Rada
,
B.
Admou
,
R.
Hazime
,
N.
Benajiba
,
N.
El Hafidi
,
M.
Hbibi
,
M.
Hida
, et al
.
2026
.
Major histocompatibility complex class II deficiency in Morocco: A 26-year retrospective cohort study
.
Front. Immunol.
17
:
1831840
.
29.
Mayo Clinic
Laboratories
.
Immunoglobulins (IgG, IgA, and IgM), Serum. Pediatric Test Catalog. Test ID: IMMG
. https://pediatric.testcatalog.org/show/IMMG (accessed August 1, 2026).
30.
DiGiacomo
,
D.
, and
S.
Barmettler
.
2024
.
Secondary hypogammaglobulinemia: Diagnosis and management of a pediatric condition of clinical importance
.
Curr. Opin. Pediatr.
36
:
659
–
667
.
31.
Ding
,
Y.
,
L.
Zhou
,
Y.
Xia
,
W.
Wang
,
Y.
Wang
,
L.
Li
,
Z.
Qi
,
L.
Zhong
,
J.
Sun
,
W.
Tang
, et al
.
2018
.
Reference values for peripheral blood lymphocyte subsets of healthy children in China
.
J. Allergy Clin. Immunol.
142
:
970
–
973.e8
.
32.
Baris
,
S.
,
H.
Abolhassani
,
M.J.
Massaad
,
M.
Al-Nesf
,
Z.
Chavoshzadeh
,
S.
Keles
,
I.
Reisli
,
A.
Tahiat
,
H.M.
Shendi
,
D.A.
Elaziz
, et al
.
2023
.
The Middle East and North Africa diagnosis and management guidelines for inborn errors of immunity
.
J. Allergy Clin. Immunol. Pract.
11
:
158
–
180.e11
.
33.
Richards
,
S.
,
N.
Aziz
,
S.
Bale
,
D.
Bick
,
S.
Das
,
J.
Gastier-Foster
,
W.W.
Grody
,
M.
Hegde
,
E.
Lyon
,
E.
Spector
, et al
.
2015
.
Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology
.
Genet. Med.
17
:
405
–
424
.
34.
Masternak
,
K.
,
E.
Barras
,
M.
Zufferey
,
B.
Conrad
,
G.
Corthals
,
R.
Aebersold
,
J.C.
Sanchez
,
D.F.
Hochstrasser
,
B.
Mach
, and
W.
Reith
.
1998
.
A gene encoding a novel RFX-associated transactivator is mutated in the majority of MHC class II deficiency patients
.
Nat. Genet.
20
:
273
–
277
.
35.
Nagarajan
,
U.M.
,
P.
Louis-Plence
,
A.
DeSandro
,
R.
Nilsen
,
A.
Bushey
, and
J.M.
Boss
.
1999
.
RFX-B is the gene responsible for the most common cause of the bare lymphocyte syndrome, an MHC class II immunodeficiency
.
Immunity
.
10
:
153
–
162
.
36.
Nagarajan
,
U.M.
,
A.
Peijnenburg
,
S.J.
Gobin
,
J.M.
Boss
, and
P.J.
van den Elsen
.
2000
.
Novel mutations within the RFX-B gene and partial rescue of MHC and related genes through exogenous class II transactivator in RFX-B-deficient cells
.
J. Immunol.
164
:
3666
–
3674
.
37.
Guirat-Dhouib
,
N.
,
Y.
Baccar
,
I.B.
Mustapha
,
M.
Ouederni
,
S.
Chouaibi
,
N.
El Fekih
,
M.R.
Barbouche
,
B.
Fezaa
,
R.
Kouki
,
S.
Hmida
, et al
.
2012
.
Oral HPV infection and MHC class II deficiency (A study of two cases with atypical outcome)
.
Clin. Mol. Allergy
.
10
:
6
.
38.
Lennon-Duménil
,
A.M.
,
M.R.
Barbouche
,
J.
Vedrenne
,
T.
Prod’Homme
,
M.
Béjaoui
,
S.
Ghariani
,
D.
Charron
,
M.
Fellous
,
K.
Dellagi
, and
C.
Alcaïde-Loridan
.
2001
.
Uncoordinated HLA-D gene expression in a RFXANK-defective patient with MHC class II deficiency
.
J. Immunol.
166
:
5681
–
5687
.
39.
Alharby
,
E.
,
M.
Obaid
,
M.A.O.
Elamin
,
M.
Almuntashri
,
I.
Bakhsh
,
M.
Samman
,
R.W.A.
Peake
,
A.
Alasmari
, and
N.A.M.
Almontashiri
.
2021
.
Progressive ataxia and neurologic regression in RFXANK-associated bare lymphocyte syndrome
.
Neurol. Genet.
7
:e586.
40.
Wiszniewski
,
W.
,
M.C.
Fondaneche
,
P.
Louise-Plence
,
A.
Prochnicka-Chalufour
,
F.
Selz
,
C.
Picard
,
F.
Le Deist
,
J.-F.
Eliaou
,
A.
Fischer
, and
B.
Lisowska-Grospierre
.
2003
.
Novel mutations in the RFXANK gene: RFX complex containing in-vitro-generated RFXANK mutant binds the promoter without transactivating MHC II
.
Immunogenetics
.
54
:
747
–
755
.
41.
Al-Herz
,
W.
,
O.
Alsmadi
,
M.
Melhem
,
M.
Recher
,
F.
Frugoni
, and
L.D.
Notarangelo
.
2013
.
Major histocompatibility complex class II deficiency in Kuwait: Clinical manifestations, immunological findings and molecular profile
.
J. Clin. Immunol.
33
:
513
–
519
.
42.
Abu-Arja
,
R.F.
,
B.E.
Gonzalez
,
M.R.
Jacobs
,
L.
Cabral
,
R.
Egler
,
J.
Auletta
,
J.
Arnold
, and
K.R.
Cooke
.
2014
.
Disseminated Bacillus Calmette-Guérin (BCG) infection following allogeneic hematopoietic stem cell transplant in a patient with Bare Lymphocyte Syndrome type II
.
Transpl. Infect. Dis.
16
:
830
–
837
.
43.
Shah
,
R.M.
,
S.
Waugh
,
K.F.
Ng
,
A.R.
Gennery
,
M.
Slatter
, and
A.J.
Cant
.
2017
.
Enterovirus-related immune reconstitution inflammatory syndrome (IRIS) following haploidentical stem cell transplantation in an MHC class II-deficient child
.
J. Clin. Immunol.
37
:
419
–
421
.
44.
Ramanathan
,
S.
,
L.
Veramendi-Espinoza
,
B.
Shillitoe
,
A.
Flinn
,
S.
Owens
,
E.
Williams
,
M.
Emonts
,
S.
Hambleton
,
S.
Burton-Fanning
,
S.
Waugh
, et al
.
2022
.
Haploidentical CD3+ TCR αβ/CD19+-depleted HSCT for MHC class II deficiency and persistent SARS-CoV-2 pneumonitis
.
J. Allergy Clin. Immunol. Glob.
2
:
101
–
104
.
45.
Prod’homme
,
T.
,
B.
Dekel
,
G.
Barbieri
,
B.
Lisowska-Grospierre
,
R.
Katz
,
D.
Charron
,
C.
Alcaide-Loridan
, and
S.
Pollack
.
2003
.
Splicing defect in RFXANK results in a moderate combined immunodeficiency and long-duration clinical course
.
Immunogenetics
.
55
:
530
–
539
.
46.
Farrokhi
,
S.
,
M.
Shabani
,
Z.
Aryan
,
S.
Zoghi
,
A.
Krolo
,
K.
Boztug
, and
N.
Rezaei
.
2018
.
MHC class II deficiency: Report of a novel mutation and special review
.
Allergol. Immunopathol. (Madr)
.
46
:
263
–
275
.
47.
Clarridge
,
K.
,
D.
Leitenberg
,
B.
Loechelt
,
C.
Picard
, and
M.
Keller
.
2016
.
Major histocompatibility complex class II deficiency due to a novel mutation in RFXANK in a child of Mexican descent
.
J. Clin. Immunol.
36
:
4
–
5
.
48.
Sheikhbahaei
,
S.
,
R.
Sherkat
,
D.
Roos
,
M.
Yaran
,
S.
Najafi
, and
A.
Emami
.
2016
.
Gene mutations responsible for primary immunodeficiency disorders: A report from the first primary immunodeficiency biobank in Iran
.
Allergy Asthma Clin. Immunol.
12
:
62
.
49.
Abolnezhadian
,
F.
,
A.
Saeedi-Boroujeni
, and
S.
Iranparast
.
2018
.
MHC class II deficiency with normal CD4+ T cell counts: A case report
.
Iran J. Allergy Asthma Immunol.
17
:
594
–
600
.
50.
Cai
,
Y.Q.
,
H.
Zhang
,
X.Z.
Wang
,
C.
Xu
,
Y.Q.
Chao
,
Y.
Shu
, and
L.F.
Tang
.
2020
.
A novel RFXANK mutation in a Chinese child with MHC II deficiency: Case report and literature review
.
Open Forum Infect. Dis.
7
:
ofaa314
.
51.
Abolnezhadian
,
F.
,
R.
Dehghani
,
S.
Dehnavi
,
A.
Khodadadi
, and
M.
Shohan
.
2020
.
A novel mutation in RFXANK gene and low B cell count in a patient with MHC class II deficiency: A case report
.
Immunol. Res.
68
:
225
–
231
.
52.
Damoiseaux
,
M.
,
J.
Damoiseaux
,
I.
Pico-Knijnenburg
,
M.
van der Burg
,
R.
Bredius
, and
G.
van Well
.
2022
.
Lessons learned from the diagnostic work-up of a patient with the bare lymphocyte syndrome type II
.
Clin. Immunol.
235
:
108932
.
53.
Ünsal
,
H.
,
C.
Caka
,
H.N.
Bildik
,
S.
Esenboğa
,
A.
Kupesiz
,
B.
Kuşkonmaz
,
D.U.
Cetinkaya
,
M.
van der Burg
,
İ.
Tezcan
, and
D.
Çağdaş
.
2024
.
A large single-center cohort of bare lymphocyte syndrome: Immunological and genetic features in Turkey
.
Scand. J. Immunol.
99
:e13335.
54.
Alroqi
,
F.J.
,
M.A.
Alhezam
,
A.I.
Almojali
,
T.
Barhoumi
,
N.
Althubaiti
,
Y.
Alharbi
,
M.A.
Al Balwi
, and
A.
Alrasheed
.
2024
.
Novel presentation of major histocompatibility complex class II deficiency with hemophagocytic lymphohistiocytosis
.
J. Clin. Immunol.
44
:
73
.
55.
Li
,
X.
,
B.
Lu
, and
X.
Luo
.
2024
.
New mutations and new phenotypes: A case of major histocompatibility complex class II deficiency
.
Immunol. Res.
72
:
1268
–
1276
.
56.
Ks
,
A.
,
D.
Satapathy
, and
T.
Arun Babu
.
2025
.
Unmasking MHC class II deficiency: A novel mutation in a child with pediatric ARDS due to pneumocystis Jirovecii pneumonia
.
EJIFCC
.
36
:
407
–
411
.
57.
Nuñez-Nuñez
,
M.E.
,
L.
Valenzuela-Vazquez
,
J.C.
Bustamante-Ogando
,
B.
Bayardo-Gutierrez
,
J.C.
Lona-Reyes
,
E.V.
Estrada-Arce
,
I.
Martinez-Duncker
,
S.O.
Lugo-Reyes
,
S.E.
Espinosa-Padilla
, and
M.E.
Cruz-Muñoz
.
2026
.
A novel pathogenic RFXANK variant causing MHC class II deficiency in two unrelated patients from Mexico
.
Hum. Immunol.
87
:
111655
.
58.
Haskologlu
,
S.
,
C.
Aytekin
,
C.
Islamoglu
,
S.
Kostel Bal
,
K.
Baskın
,
B.
Erman
,
T.
Kendirli
,
S.
Ceylaner
,
F.
Dogu
, and
A.
Ikinciogullari
.
2026
.
Clinical, immunological, treatment characteristics, and outcomes in 22 patients with major histocompatibility complex class II deficiency
.
Front. Immunol.
17
:
1811502
.
59.
van Eggermond
,
M.C.J.A.
,
I.
Tezcan
,
M.H.M.
Heemskerk
, and
P.J.
van den Elsen
.
2008
.
Transcriptional silencing of RFXAP in MHC class II-deficiency
.
Mol. Immunol.
45
:
2920
–
2928
.
60.
Gokturk
,
B.
,
H.
Artac
,
M.J.
van Eggermond
,
P.
van den Elsen
, and
İ.
Reisli
.
2012
.
Type III bare lymphocyte syndrome associated with a novel RFXAP mutation: A case report
.
Int. J. Immunogenet.
39
:
362
–
364
.
61.
Wang
,
J.C.
,
L.
Ross
,
L.W.
Mahon
,
R.
Owen
,
M.
Hemmat
,
B.T.
Wang
,
M.
El Naggar
,
K.A.
Kopita
,
L.M.
Randolph
,
J.M.
Chase
, et al
.
2015
.
Regions of homozygosity identified by oligonucleotide SNP arrays: Evaluating the incidence and clinical utility
.
Eur. J. Hum. Genet.
23
:
663
–
671
.
62.
Aluri
,
J.
,
M.
Gupta
,
A.
Dalvi
,
S.
Mhatre
,
M.
Kulkarni
,
G.
Hule
,
M.
Desai
,
N.
Shah
,
P.
Taur
,
R.
Vedam
, and
M.
Madkaikar
.
2018
.
Clinical, immunological, and molecular findings in five patients with major histocompatibility complex class II deficiency from India
.
Front. Immunol.
9
:
188
.

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