Skip to Main Content
Article navigation

Allogeneic processed thymus tissue-agdc (RETHYMIC) is the only Food and Drug Administration–approved therapy for immune reconstitution in children with congenital athymia. Evaluating factors impacting successful immune reconstitution is necessary to improve outcomes. Using data from 10 open-label, single-arm studies, this retrospective cohort study evaluated 76 children with 1-year survival following thymus tissue implantation. Variables included receipt of immune-suppressing agents, human leukocyte antigen (HLA) matching, preimplantation T cell function, and age at implantation. Outcomes include lymphocyte subsets, T cell function, and naive T cell reconstitution, defined as >100 naive T cells/mm3 at 1-year after implantation. Median total T, B, and NK cell counts at 1 year following implantation were not associated with T cell function at implantation, immune-suppressing therapies, or donor and recipient HLA matching; however, naive T cell counts were higher among those with low T cell function at time of implantation. Younger age at implantation was associated with improved immune reconstitution, supporting the importance of early diagnosis and referral for treatment.

Congenital athymia (CA) is a rare, life-threatening disorder characterized by the absence of a functioning thymus at birth, most commonly the result of defective pharyngeal pouch development (1, 2). Without a thymus, children are unable to develop functional T cells or establish self-tolerance, thereby predisposing them to life-threatening infections, autoimmune disease, and ultimately death, typically within the first few years of life (3, 4, 5, 6). Multiple molecular and embryonic defects are associated with CA, including 22q11.2 deletion syndrome (22q11.2DS), CHARGE (coloboma, heart defect, choanal atresia, growth or mental retardation, genital hypoplasia, and ear anomalies or deafness) syndrome due mutations in chromodomain helicase DNA-binding protein 7 (CHD7), and mutations in T-box transcription factor 2 (TBX2), paired box protein Pax-1 (PAX1), and forkhead box protein N1 (FOXN1) (1, 7, 8, 9, 10). Other causes include maternal diabetic embryopathy and intrauterine exposure to isotretinoin (5). These conditions disrupt pharyngeal pouch development during early embryogenesis, resulting in midline syndromic anomalies affecting the heart, parathyroid gland, facial structures, and thymus (5, 11). All newborns with CA lack recent thymus emigrants that can be detected with newborn screening for congenital T cell deficiencies (12, 13). The diagnosis is based on low naive T cell numbers at birth (<50 cells/mm3 or <5% of total CD3 T cells), presence of syndromic features associated with CA, and the absence of evidence for other T cell immune deficiencies such as severe combined immunodeficiency (SCID) (5, 12, 14).

In the United States, allogeneic processed thymus tissue-agdc (RETHYMIC) is the only definitive therapy approved by the Food and Drug Administration for treatment of pediatric patients with CA (15). Approval of the Biologics License Application occurred in October 2021 and was based on a series of Investigational New Drug (IND) studies that included 105 pediatric patients with CA treated at Duke University in Durham, NC (16). These children received cultured thymus tissue implantation (CTTI) between 1993 and 2020 (15). The majority who received CTTI were included in the efficacy outcome cohort analysis with the primary outcome as T cell reconstitution after 1 year (16). The kinetics of T cell reconstitution following CTTI varied across cohorts with few children displaying detectable naive T cells before 9 mo after implantation. Prior to CTTI, nearly half (45%) of recipients showed signs of aberrant T cell development defined as detectable memory T cells in the peripheral blood and evidence of proliferative responses to mitogens (3). Many of these children had signs of autoimmunity and required immune suppression prior to CTTI. Further complicating the success of CTTI, infants with functional T cells prior to CTTI are capable of allorecognition and cellular rejection of the thymus implant (17, 18). Taken together, immune suppression is a key component in the management of CA along with receipt of CTTI. To date, there has not been a detailed analysis of variables associated with T cell reconstitution among the children with CA included in the efficacy outcome cohort, including the degree of HLA mismatch between thymus donor and recipient, pre-CTTI T cell function (measured by proliferation response to phytohemagglutinin [PHA] mitogen), the use of immune suppression, or age of recipient at the time of implantation. The purpose of this study is to elucidate how these factors affect immune reconstitution following CTTI in children with CA who were enrolled in the initial clinical trials and survived for at least 1-year after treatment.

Demographic characteristics of participants in the efficacy outcome cohort

97 participants were included in the efficacy outcome cohort and treated with CTTI under IND 9836 (16). The demographics, syndromic features, and comorbidities within this cohort are shown in Table 1. Greater than 90% of the cohort displayed cardiac, facial, parathyroid, or renal abnormalities associated with abnormal pharyngeal pouch development. Many had evidence of autoimmunity, including autoimmune rash due to autoreactive T cell infiltrates confirmed by biopsy, autoimmune cytopenias, and autoimmune thyroid disorders. Two participants had symptomatic graft-versus-host disease (GVHD), one associated with maternal T cell engraftment and the other associated with a nonirradiated blood transfusion (16).

Table 1.

Demographic characteristics of efficacy outcome cohort

Cohort (n = 97)
Sex, n (%) ​ 
Male 58 (60) 
Race, n (%) ​ 
White 68 (70) 
Black, African American 21 (22) 
Asian 3 (3) 
American Indian 2 (2) 
Native Hawaiian 1 (1) 
>1 race 2 (2) 
Ethnicity, n (%) ​ 
Hispanic or Latino 18 (19) 
Not Hispanic or Latino 79 (81) 
Genetic/syndromic etiology, n (%) ​ 
22q11.2 deletion 36 (37) 
CHARGE/CHD7 mutationa 24 (25) 
FOXN1 mutation 2 (2) 
PAX1 mutation 1 (1) 
TBX2 mutation 1 (1) 
Diabetic embryopathy 21 (22) 
No known mutation/syndrome 12 (12) 
Syndromic comorbidities, n (%) ​ 
Choanal atresia 11 (11) 
Cleft palate or submucous cleft 17 (17) 
Coloboma 19 (20) 
Congenital cardiac anomaly 87 (90) 
Deafness or ear pinnae anomalies 50 (51) 
Dysmorphic facies 45 (46) 
Tracheal anomalies 25 (26) 
Genital hypoplasia 12 (12) 
Hypocalcemia 82 (84) 
Anal/rectal anomalies 6 (6) 
Renal anomalies 26 (27) 
Autoimmunity, n (%) ​ 
Rashb 37 (38) 
Symptomatic GVHDc 2 (2) 
Thrombocytopenia 10 (10) 
Neutropenia 6 (6) 
Autoimmune hemolytic anemia 6 (6) 
Hypothyroid 6 (6) 
Age at time of implantation (months) ​ 
Median (Q1; Q3) 9 (4; 14) 
Minimum, maximum 1, 53 
a

CHARGE/CHD7 numbers are based on phenotype or genetic testing.

b

Based on skin biopsy.

c

Due to maternal T cells or nonirradiated blood transfusion.

Demographic characteristics of study cohort

This study includes analysis of a subset of the original 97-participant efficacy outcome cohort, excluding the 21 participants (21.6%) who died prior to reaching 12 mo after CTTI (Fig. 1). Baseline demographics of the remaining 76 participants are displayed in Table 2 showing 54% male, 72% white, and 82% non-Hispanic. Genetic defects associated with CA included 22q11.2DS in 34% (n = 26), CHARGE syndrome in 28% (n = 21), FOXN1 mutation in 3% (n = 2), PAX1 mutation in 1% (n = 1), TBX2 mutation in 1% (n = 1), diabetic embryopathy in 22% (n = 17), and no identified cause for CA in 11% (n = 8). Across the cohort, the median (Q1; Q3) age at time of CTTI was 8.9 mo (4.6; 14.1 mo). The 76 participants included in the analysis were categorized into three analysis subgroups (Fig. 1). The HLA subgroup was based on HLA typing between thymus donor and recipient. Within the 76 participants in this subgroup, 35 were complete mismatches at all six HLA alleles, and 35 had partial match for at least one HLA allele. Six participants had ambiguous (incomplete) HLA typing and were excluded from the analysis. The PHA subgroup was based on proliferative responses to PHA mitogen prior to CTTI. 48 participants had PHA responses <5,000 count per minute (cpm), and 28 participants had PHA responses >5,000 cpm. The immune suppression subgroup was based on a history of having received immune suppression therapy preceding, during, or following CTTI. This subgroup included 49 participants who received immune suppression and 27 who did not. Within the 76 participants, three (4%) received alemtuzumab for treatment autoimmune comorbidities, one at 3 mo and two at 13 mo after CTTI, which results in T cell depletion. Their results were censored from subsequent analysis. Outcomes after 25 mo for the participants who received alemtuzumab are shown in Table S1.

Figure 1.
A flowchart illustrating the demographic characteristics of a study cohort. The flowchart begins with an efficacy outcome cohort of 97 participants with congenital athymia treated with cultured thymic tissue implantation (CTTI). A box indicates that 21 participants were excluded because they deceased prior to 12 months. This leads to a study cohort of 76 participants. The study cohort is further divided into three subgroups: HLA Subgroup, PHA Subgroup, and Immune Suppression Subgroup. The HLA Subgroup excludes 6 participants due to ambiguous HLA typing and 35 participants due to completed HLA mismatch. It includes 23 participants with a match of 1 of 6 alleles, 11 participants with a match of 2 of 6 alleles, and 1 participant with a match of 3 of 6 alleles. The PHA Subgroup includes 48 participants with a baseline PHA less than 5000 counts per minute (cpm) and 28 participants with a baseline PHA greater than 5000 cpm. The Immune Suppression Subgroup includes 27 participants who did not receive immune suppression and 49 participants who received immune suppression.

Study design flowchart.

Figure 1.
A flowchart illustrating the demographic characteristics of a study cohort. The flowchart begins with an efficacy outcome cohort of 97 participants with congenital athymia treated with cultured thymic tissue implantation (CTTI). A box indicates that 21 participants were excluded because they deceased prior to 12 months. This leads to a study cohort of 76 participants. The study cohort is further divided into three subgroups: HLA Subgroup, PHA Subgroup, and Immune Suppression Subgroup. The HLA Subgroup excludes 6 participants due to ambiguous HLA typing and 35 participants due to completed HLA mismatch. It includes 23 participants with a match of 1 of 6 alleles, 11 participants with a match of 2 of 6 alleles, and 1 participant with a match of 3 of 6 alleles. The PHA Subgroup includes 48 participants with a baseline PHA less than 5000 counts per minute (cpm) and 28 participants with a baseline PHA greater than 5000 cpm. The Immune Suppression Subgroup includes 27 participants who did not receive immune suppression and 49 participants who received immune suppression.

Study design flowchart.

Close modal
Table 2.

Demographic characteristics of study cohort

Study participants (n = 76)
Sex, n (%) ​ 
Male 41 (54) 
Race, n (%) ​ 
White 55 (72) 
Black, African American 16 (21) 
Asian 3 (4) 
American Indian 1 (1) 
Native Hawaiian 1 (1) 
Ethnicity, n (%) ​ 
Hispanic or Latino 14 (18) 
Not Hispanic or Latino 62 (82) 
Genetic/syndromic etiology, n (%) ​ 
22q11.2 deletion 26 (34) 
CHARGE/CHD7 mutationa 21 (28) 
FOXN1 mutation 2 (3) 
PAX1 mutation 1 (1) 
TBX2 mutation 1 (1) 
Diabetic embryopathy 17 (22) 
No known mutation/syndrome 8 (11) 
Age at time of implantation (months) ​ 
Median (Q1; Q3) 8.9 (4.6; 14.1) 
Minimum, maximum 1.1, 53.1 
HLA matching ​ 
Complete mismatch (6/6) 35 (46) 
Partial match (>1) 35 (46) 
Ambiguous 6 (8) 
Baseline PHA, n (%) ​ 
<5,000 cpm 48 (63) 
>5,000 cpm 28 (37) 
Received immune suppression, n (%) ​ 
Yes 49 (64) 
No 27 (36) 
a

CHARGE/CHD7 numbers are based on phenotype or genetic testing.

Impact of HLA matching

Among the HLA subgroup (n = 70), there were no significant differences by 12 mo after CTTI in median CD3 (P = 0.33), CD4 (P = 0.34), naive CD4 (P = 0.64) or CD8 (P = 0.46) T cell counts, B cell counts (P = 0.18), or natural killer (NK) cell counts (P = 0.65) between participants with complete HLA mismatch and those with partial matching (Fig. 2). Median cell T cell counts and P values for comparisons at individual 3-mo periods extending from 3 to 24 mo following CTTI are provided in Table S2.

Figure 2.
Six line graphs compare lymphocyte subset counts over time.Each graph shows the median cell counts with interquartile range for different lymphocyte subsets at 3-month intervals through 24 months post-CTTI. The x-axis represents time in months, and the y-axis represents cell counts per cubic millimeter. Panel A shows CD3 T Cell Counts, Panel B shows CD4 T Cell Counts, Panel C shows Naïve CD4 T Cell Counts, Panel D shows CD8 T Cell Counts, Panel E shows B Cell Counts, and Panel F shows NK Cell Counts. The red lines represent participants with complete HLA mismatch, while the black lines represent participants with partial HLA match. No significant differences are observed in the median counts of CD3, CD4, Naïve CD4, CD8 T cells, B cells, or NK cells between the two groups.

Longitudinal comparison of median lymphocyte subset counts after CTTI among participants with complete (6/6) HLA mismatch vs. partial (>1) match. (A–F) Median total cell counts with interquartile range for lymphocytes subsets at 3-mo intervals (y-axis) through 24 mo after CTTI (x-axis) among participants with complete HLA mismatch (6/6), shown in red, or partial HLA match (>1 allele), shown in black. Comparison by Mann–Whitney U test. No significant differences in the median CD3 (A), CD4 (B), naive CD4 (C), or CD8 (D) T cell counts. No significant differences in the median B cell (E) or NK cell (F) counts. P values for comparison of each 3-mo interval are provided in Table S1. Lymphocyte enumeration results were censored in three participants at the time they received alemtuzumab treatment at one at 3 mo and two at 12 mo, respectively.

Figure 2.
Six line graphs compare lymphocyte subset counts over time.Each graph shows the median cell counts with interquartile range for different lymphocyte subsets at 3-month intervals through 24 months post-CTTI. The x-axis represents time in months, and the y-axis represents cell counts per cubic millimeter. Panel A shows CD3 T Cell Counts, Panel B shows CD4 T Cell Counts, Panel C shows Naïve CD4 T Cell Counts, Panel D shows CD8 T Cell Counts, Panel E shows B Cell Counts, and Panel F shows NK Cell Counts. The red lines represent participants with complete HLA mismatch, while the black lines represent participants with partial HLA match. No significant differences are observed in the median counts of CD3, CD4, Naïve CD4, CD8 T cells, B cells, or NK cells between the two groups.

Longitudinal comparison of median lymphocyte subset counts after CTTI among participants with complete (6/6) HLA mismatch vs. partial (>1) match. (A–F) Median total cell counts with interquartile range for lymphocytes subsets at 3-mo intervals (y-axis) through 24 mo after CTTI (x-axis) among participants with complete HLA mismatch (6/6), shown in red, or partial HLA match (>1 allele), shown in black. Comparison by Mann–Whitney U test. No significant differences in the median CD3 (A), CD4 (B), naive CD4 (C), or CD8 (D) T cell counts. No significant differences in the median B cell (E) or NK cell (F) counts. P values for comparison of each 3-mo interval are provided in Table S1. Lymphocyte enumeration results were censored in three participants at the time they received alemtuzumab treatment at one at 3 mo and two at 12 mo, respectively.

Close modal

Impact of baseline T cell function

There were no significant differences in T cell reconstitution when comparing median CD3, CD4, or CD8 T cell counts at 12 mo after CTTI between those participants with a baseline T cell function based on PHA proliferative responses of >5,000 cpm and those with responses <5,000 cpm (Fig. 3). However, the median naive CD4 T cell counts at 12 mo after CTTI were significantly higher among those participants with low baseline PHA proliferative responses <5,000 cpm (P = 0.044).

Figure 3.
Box-and-whisker plots comparing T cell counts based on PHA response. Panel A: A vertical box-and-whisker plot compares CD3 T cell counts between two groups based on PHA response. The horizontal axis represents PHA response with categories less than 5000 cpm and greater than or equal to 5000 cpm, and the vertical axis represents cell counts in cells per cubic millimeter. The plot shows median, quartiles, and outliers for each group. The p-value is 0.29, indicating no significant difference. Panel B: A vertical box-and-whisker plot compares CD4 T cell counts between the same two groups. The axes and categories are similar to Panel A. The p-value is 0.21, indicating no significant difference. Panel C: A vertical box-and-whisker plot compares naïve CD4 T cell counts between the two groups. The axes and categories are similar to previous panels. The p-value is 0.04, indicating a significant difference. Panel D: A vertical box-and-whisker plot compares CD8 T cell counts between the two groups. The axes and categories are similar to previous panels. The p-value is 0.09, indicating no significant difference.

12 -mo post-CTTI comparison of median T cell subset counts among participants with PHA response <5,000 cpm vs. >5,000 cpm. Median T cell subset counts at 12-mo after CTTI among participants with baseline PHA >5,000 cpm (black dots) versus <5,000 cpm (red dots). Comparisons by Mann–Whitney U test. No significant differences in the median CD3, CD4, or CD8 T cell counts. There is a significant difference in the median naive CD4 counts favoring baseline PHA <5,000 cmp. Flow data for one participant is excluded due to previous receipt of alemtuzumab. (A) Median (Q1; Q3) CD4 T cell counts (cells/mm3) for PHA >5,000 cpm and <5,000 cpm are 366 (294; 626) and 535 (328; 794), respectively. (B) Median (Q1; Q3) naive CD4 T cell counts (cells/mm3) for PHA >5,000 cpm and <5,000 cpm are 80 (32; 289) and 276 (120; 394), respectively. (C) Median (Q1; Q3) CD3 T cell counts (cells/mm3) for PHA >5,000 cpm and <5,000 cpm are 581 (383; 827) and 734 (407; 1,038), respectively. (D) Median (Q1; Q3) CD8 T cell counts (cells/mm3) for PHA >5,000 cpm and <5,000 cpm are 82 (28; 154) and 158 (64; 259), respectively. PHA, phytohemagglutinin.

Figure 3.
Box-and-whisker plots comparing T cell counts based on PHA response. Panel A: A vertical box-and-whisker plot compares CD3 T cell counts between two groups based on PHA response. The horizontal axis represents PHA response with categories less than 5000 cpm and greater than or equal to 5000 cpm, and the vertical axis represents cell counts in cells per cubic millimeter. The plot shows median, quartiles, and outliers for each group. The p-value is 0.29, indicating no significant difference. Panel B: A vertical box-and-whisker plot compares CD4 T cell counts between the same two groups. The axes and categories are similar to Panel A. The p-value is 0.21, indicating no significant difference. Panel C: A vertical box-and-whisker plot compares naïve CD4 T cell counts between the two groups. The axes and categories are similar to previous panels. The p-value is 0.04, indicating a significant difference. Panel D: A vertical box-and-whisker plot compares CD8 T cell counts between the two groups. The axes and categories are similar to previous panels. The p-value is 0.09, indicating no significant difference.

12 -mo post-CTTI comparison of median T cell subset counts among participants with PHA response <5,000 cpm vs. >5,000 cpm. Median T cell subset counts at 12-mo after CTTI among participants with baseline PHA >5,000 cpm (black dots) versus <5,000 cpm (red dots). Comparisons by Mann–Whitney U test. No significant differences in the median CD3, CD4, or CD8 T cell counts. There is a significant difference in the median naive CD4 counts favoring baseline PHA <5,000 cmp. Flow data for one participant is excluded due to previous receipt of alemtuzumab. (A) Median (Q1; Q3) CD4 T cell counts (cells/mm3) for PHA >5,000 cpm and <5,000 cpm are 366 (294; 626) and 535 (328; 794), respectively. (B) Median (Q1; Q3) naive CD4 T cell counts (cells/mm3) for PHA >5,000 cpm and <5,000 cpm are 80 (32; 289) and 276 (120; 394), respectively. (C) Median (Q1; Q3) CD3 T cell counts (cells/mm3) for PHA >5,000 cpm and <5,000 cpm are 581 (383; 827) and 734 (407; 1,038), respectively. (D) Median (Q1; Q3) CD8 T cell counts (cells/mm3) for PHA >5,000 cpm and <5,000 cpm are 82 (28; 154) and 158 (64; 259), respectively. PHA, phytohemagglutinin.

Close modal

PHA proliferative responses at 12 mo included results that were closest to the 12-mo post-CTTI time point, ranging from 8.9 to 24.9 mo with a median (Q1; Q3) of 12.2 mo (11.2; 13.6). PHA responses normalized in 97% (67/69) of participants by 12 mo after CTTI regardless of the pre-CTTI proliferation results (Fig. 4). Among the two participants who did not achieve normal PHA responses, as shown in Fig. 4, one had a 12-mo post-CTTI proliferation response of 8,595 cpm, but by 2 years after CTTI, the mitogen response had normalized to 263,656 cpm (data not shown). The other participant’s 12-mo post-CTTI proliferation response was 334 cpm, with a corresponding absence of naive CD4 T cells, and did not achieve normalization by >2 years after CTTI. The participant’s clinical course following implantation was complicated by cardiac arrest within 1 mo following CTTI, along with severe autoimmune comorbidities managed with immune-suppressing agents including frequent systemic corticosteroids. The combination of these events likely contributed to insufficient reconstitution.

Figure 4.
A box-and-whisker plot comparing PHA response at baseline and 12 months post-CTTI. The horizontal axis represents time points: Baseline and Month 12. The vertical axis represents counts per minute (cpm) on a logarithmic scale ranging from 10 to 1,000,000. The plot includes two vertical box plots. The baseline box plot shows a median value around 3000 cpm, with the lower quartile around 850 cpm and the upper quartile around 22,271 cpm. The whiskers extend from approximately 100 cpm to 100,000 cpm, with several outliers below 100 cpm and above 100,000 cpm. The Month 12 box plot shows a median value around 143,485 cpm, with the lower quartile around 99,854 cpm and the upper quartile around 206,169 cpm. The whiskers extend from approximately 50,000 cpm to 300,000 cpm, with fewer outliers compared to the baseline. Red dots represent participants with PHA responses less than 5000 cpm at baseline, while black dots represent participants with PHA responses greater than 5000 cpm at baseline. There is a significant increase in median PHA response from baseline to 12 months post-CTTI, as indicated by the p-value of less than 0.0001.

Comparison of PHA response at baseline and 12 mo after CTTI. Median PHA (cpm) response among participants at baseline versus 12 mo after CTTI. Comparison by Wilcoxon-matched pairs signed-rank test. There is a significant increase in median PHA response from baseline (pre-CTTI) to 12 mo after CTTI. Red dots represent participants that had PHA responses <5,000 cpm at baseline, prior to CTTI, while black dots represent participants that had PHA responses >5,000 at baseline. 12-mo PHA response data are excluded for three participants who received alemtuzumab after CTTI as treatment for autoimmunity. PHA proliferation responses were not available in four participants at 12 mo after CTTI. Median (Q1; Q3) PHA response (cpm) for baseline and 12 mo after CTTI are 2,988 (849; 22,271) and 143,485 (99,854; 206,169), respectively.

Figure 4.
A box-and-whisker plot comparing PHA response at baseline and 12 months post-CTTI. The horizontal axis represents time points: Baseline and Month 12. The vertical axis represents counts per minute (cpm) on a logarithmic scale ranging from 10 to 1,000,000. The plot includes two vertical box plots. The baseline box plot shows a median value around 3000 cpm, with the lower quartile around 850 cpm and the upper quartile around 22,271 cpm. The whiskers extend from approximately 100 cpm to 100,000 cpm, with several outliers below 100 cpm and above 100,000 cpm. The Month 12 box plot shows a median value around 143,485 cpm, with the lower quartile around 99,854 cpm and the upper quartile around 206,169 cpm. The whiskers extend from approximately 50,000 cpm to 300,000 cpm, with fewer outliers compared to the baseline. Red dots represent participants with PHA responses less than 5000 cpm at baseline, while black dots represent participants with PHA responses greater than 5000 cpm at baseline. There is a significant increase in median PHA response from baseline to 12 months post-CTTI, as indicated by the p-value of less than 0.0001.

Comparison of PHA response at baseline and 12 mo after CTTI. Median PHA (cpm) response among participants at baseline versus 12 mo after CTTI. Comparison by Wilcoxon-matched pairs signed-rank test. There is a significant increase in median PHA response from baseline (pre-CTTI) to 12 mo after CTTI. Red dots represent participants that had PHA responses <5,000 cpm at baseline, prior to CTTI, while black dots represent participants that had PHA responses >5,000 at baseline. 12-mo PHA response data are excluded for three participants who received alemtuzumab after CTTI as treatment for autoimmunity. PHA proliferation responses were not available in four participants at 12 mo after CTTI. Median (Q1; Q3) PHA response (cpm) for baseline and 12 mo after CTTI are 2,988 (849; 22,271) and 143,485 (99,854; 206,169), respectively.

Close modal

Impact of immune suppression

Immune suppression was administered before or after CTTI in 49/76 (64%) of participants, either as treatment for autoimmunity or for those whose baseline T cell numbers and function indicated a high risk of allograft rejection (19). Use of immune suppression across the IND protocols was not standardized and evolved with time. The most common immune suppressive medications administered in the week prior to CTTI were rabbit antithymocyte globulin (rATG) for 44/49 (87.8%) participants, with the addition of calcineurin inhibitors in 27/49 (49%), either cyclosporin in 25/49 (51%) or tacrolimus in 2/49 (4%) (15) Other, less frequently administered therapies prior to CTTI included mycophenolate mofetil (n = 4), alemtuzumab (n = 3), horse antithymocyte globulin (n = 2), rituximab (n = 2), sirolimus (n = 1), daclizumab (n = 1), infliximab (n = 1), azathioprine (n = 1), daratumumab (n = 1), and basiliximab (n = 1). No other immune modulating medications were used during the studies.

At 12 mo after CTTI, there were no significant differences in the median CD3 (P = 0.61), CD4 (P = 0.49), naive CD4 (P = 0.23), or CD8 (P = 0.86) T cell counts, B cell counts (P = 0.09), or NK cell counts (P = 0.90) between participants who received immune suppression either before, during, or after CTTI compared to those who did not (Fig. 5).

Figure 5.
Box-and-whisker plots comparing lymphocyte subset counts based on immune suppression status. Panel A: A vertical box-and-whisker plot comparing CD3 T cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median CD3 T cell counts are approximately 703 and 676 for the No and Yes groups, respectively. Panel B: A vertical box-and-whisker plot comparing CD4 T cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median CD4 T cell counts are approximately 520 and 444 for the No and Yes groups, respectively. Panel C: A vertical box-and-whisker plot comparing Naïve CD4 T cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median Naïve CD4 T cell counts are approximately 244 and 163 for the No and Yes groups, respectively. Panel D: A vertical box-and-whisker plot comparing CD8 T cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median CD8 T cell counts are approximately 104 for both the No and Yes groups. Panel E: A vertical box-and-whisker plot comparing B cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median B cell counts are approximately 879 and 714 for the No and Yes groups, respectively. Panel F: A vertical box-and-whisker plot comparing NK cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median NK cell counts are approximately 373 and 351 for the No and Yes groups, respectively.

Comparison of median lymphocyte subset counts based on immunosuppression status. Median lymphocyte subsets at 12-mo after CTTI among participants who received any immunosuppressive therapies (black circles) versus those who did not (red circles). Comparison by Mann–Whitney U test. No significant differences in the median CD3, CD4, naive CD4, CD8, B cell, or NK cell counts. Lymphocyte enumeration results for one participant who was treated with alemtuzumab were excluded. (A) Median (Q1; Q3) CD4 T cell counts (cells/mm3) for immunosuppression “no” and “yes” are 520 (343; 762) and 444 (288; 699), respectively. (B) Median (Q1; Q3) naive CD4 T cell counts (cells/mm3) for immunosuppression “no” and “yes” are 244 (133; 386) and 163 (37; 365), respectively. (C) Median (Q1; Q3) CD3 T cell counts (cells/mm3) for immunosuppression “no” and “yes” are 703 (416; 1,045) and 676 (392; 880), respectively. (D) Median (Q1; Q3) CD8 T cell counts (cells/mm3) for immunosuppression “no” and “yes” are 104 (61; 251) and 104 (37; 240), respectively. (E) Median (Q1; Q3) B cell counts (cells/mm3) for immunosuppression “no” and “yes” are 879 (689; 1,126) and 714 (351; 900), respectively. (F) Median (Q1; Q3) NK cell counts (cells/mm3) for immunosuppression “no” and “yes” are 373 (198; 944) and 351 (248; 646), respectively.

Figure 5.
Box-and-whisker plots comparing lymphocyte subset counts based on immune suppression status. Panel A: A vertical box-and-whisker plot comparing CD3 T cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median CD3 T cell counts are approximately 703 and 676 for the No and Yes groups, respectively. Panel B: A vertical box-and-whisker plot comparing CD4 T cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median CD4 T cell counts are approximately 520 and 444 for the No and Yes groups, respectively. Panel C: A vertical box-and-whisker plot comparing Naïve CD4 T cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median Naïve CD4 T cell counts are approximately 244 and 163 for the No and Yes groups, respectively. Panel D: A vertical box-and-whisker plot comparing CD8 T cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median CD8 T cell counts are approximately 104 for both the No and Yes groups. Panel E: A vertical box-and-whisker plot comparing B cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median B cell counts are approximately 879 and 714 for the No and Yes groups, respectively. Panel F: A vertical box-and-whisker plot comparing NK cell counts between groups with and without immune suppression. The horizontal axis represents immune suppression status (No and Yes), and the vertical axis represents cell counts in cells per cubic millimeter. The median NK cell counts are approximately 373 and 351 for the No and Yes groups, respectively.

Comparison of median lymphocyte subset counts based on immunosuppression status. Median lymphocyte subsets at 12-mo after CTTI among participants who received any immunosuppressive therapies (black circles) versus those who did not (red circles). Comparison by Mann–Whitney U test. No significant differences in the median CD3, CD4, naive CD4, CD8, B cell, or NK cell counts. Lymphocyte enumeration results for one participant who was treated with alemtuzumab were excluded. (A) Median (Q1; Q3) CD4 T cell counts (cells/mm3) for immunosuppression “no” and “yes” are 520 (343; 762) and 444 (288; 699), respectively. (B) Median (Q1; Q3) naive CD4 T cell counts (cells/mm3) for immunosuppression “no” and “yes” are 244 (133; 386) and 163 (37; 365), respectively. (C) Median (Q1; Q3) CD3 T cell counts (cells/mm3) for immunosuppression “no” and “yes” are 703 (416; 1,045) and 676 (392; 880), respectively. (D) Median (Q1; Q3) CD8 T cell counts (cells/mm3) for immunosuppression “no” and “yes” are 104 (61; 251) and 104 (37; 240), respectively. (E) Median (Q1; Q3) B cell counts (cells/mm3) for immunosuppression “no” and “yes” are 879 (689; 1,126) and 714 (351; 900), respectively. (F) Median (Q1; Q3) NK cell counts (cells/mm3) for immunosuppression “no” and “yes” are 373 (198; 944) and 351 (248; 646), respectively.

Close modal

Impact of age at time of implantation

Across the entire cohort (n = 76), the median (Q1; Q3) age at time of implantation was 8.9 mo (4.6; 14.1). Older age at implantation had a weak, but significant, negative correlation with absolute CD3, CD4, and naive CD4 T cell counts at 12 mo after CTTI (Fig. 6). There was not a significant correlation between age at implantation and absolute CD8 cell counts at 12 mo after CTTI.

Figure 6.
Scatter plots with trend lines showing the correlation between age at implant and various T cell counts. Panel A: A scatter plot showing the correlation between age at implant in years and CD3 T cell counts in cells per cubic millimeter. The plot includes dozens of data points, a regression line, and shows a negative correlation with a Pearson correlation coefficient of minus 0.34 and a p-value of 0.0093. Panel B: A scatter plot showing the correlation between age at implant in years and CD4 T cell counts in cells per cubic millimeter. The plot includes dozens of data points, a regression line, and shows a negative correlation with a Pearson correlation coefficient of minus 0.37 and a p-value of 0.0041. Panel C: A scatter plot showing the correlation between age at implant in years and naïve CD4 T cell counts in cells per cubic millimeter. The plot includes dozens of data points, a regression line, and shows a negative correlation with a Pearson correlation coefficient of minus 0.37 and a p-value of 0.0091. Panel D: A scatter plot showing the correlation between age at implant in years and CD8 T cell counts in cells per cubic millimeter. The plot includes dozens of data points, a regression line, and shows a weak negative correlation with a Pearson correlation coefficient of minus 0.19 and a p-value of 0.17.

Correlation between median T cell subset counts at 12 mo after CTTI and participant age (years) at the time of thymus implantation. Pearson correlation between age (years) and median CD3, CD4, naive CD4, and CD8 T cell counts. Lymphocyte enumeration results for the participant who received alemtuzumab at 3 mo after CTTI are excluded. (A) Median (Q1; Q3) CD4 T cell count (cells/mm3) is 465 (313; 710). (B) Median (Q1; Q3) naive CD4 T cell count (cells/mm3) is 192 (52; 371). (C) Median (Q1; Q3) CD3 T cell count (cells/mm3) is 703 (397; 945). (D) Median (Q1; Q3) CD8 T cell count (cells/mm3) is 104 (55; 240).

Figure 6.
Scatter plots with trend lines showing the correlation between age at implant and various T cell counts. Panel A: A scatter plot showing the correlation between age at implant in years and CD3 T cell counts in cells per cubic millimeter. The plot includes dozens of data points, a regression line, and shows a negative correlation with a Pearson correlation coefficient of minus 0.34 and a p-value of 0.0093. Panel B: A scatter plot showing the correlation between age at implant in years and CD4 T cell counts in cells per cubic millimeter. The plot includes dozens of data points, a regression line, and shows a negative correlation with a Pearson correlation coefficient of minus 0.37 and a p-value of 0.0041. Panel C: A scatter plot showing the correlation between age at implant in years and naïve CD4 T cell counts in cells per cubic millimeter. The plot includes dozens of data points, a regression line, and shows a negative correlation with a Pearson correlation coefficient of minus 0.37 and a p-value of 0.0091. Panel D: A scatter plot showing the correlation between age at implant in years and CD8 T cell counts in cells per cubic millimeter. The plot includes dozens of data points, a regression line, and shows a weak negative correlation with a Pearson correlation coefficient of minus 0.19 and a p-value of 0.17.

Correlation between median T cell subset counts at 12 mo after CTTI and participant age (years) at the time of thymus implantation. Pearson correlation between age (years) and median CD3, CD4, naive CD4, and CD8 T cell counts. Lymphocyte enumeration results for the participant who received alemtuzumab at 3 mo after CTTI are excluded. (A) Median (Q1; Q3) CD4 T cell count (cells/mm3) is 465 (313; 710). (B) Median (Q1; Q3) naive CD4 T cell count (cells/mm3) is 192 (52; 371). (C) Median (Q1; Q3) CD3 T cell count (cells/mm3) is 703 (397; 945). (D) Median (Q1; Q3) CD8 T cell count (cells/mm3) is 104 (55; 240).

Close modal

Multivariable logistic regression analysis for reconstitution after CTTI

Multivariable logistic regression analysis was undertaken to assess the effect of the immune suppression, baseline T cell mitogen proliferative responses, age at implantation, and genetic/syndrome etiology on naive T cell reconstitution at 12 mo after CTTI, defined as a naive CD4 T cell count >100 cells/mm3. By 24 mo after CTTI, 79% of the participants with available data achieved this milestone. The analysis included 44 participants, as the six participants with ambiguous HLA typing, 25 participants who did not have available 12-mo naive T cell results, and one participant who received alemtuzumab prior to 12 mo after CTTI were all excluded. Table 3 shows the results of the multivariable logistic regression. There was no significant association in the odds of naive T cell reconstitution based on having received immune suppression, baseline PHA >5,000 cpm, or genetic/syndromic etiology. However, younger age at time of implantation was a significant predictor, with the odds of reconstitution at 12 mo after implantation decreasing by 11% for every 30-day increase in age at time of implantation.

Table 3.

Multivariable logistic regression

VariableORCIP value
Immune suppression, yes 0.39 0.04–2.96 0.38 
Baseline PHA >5,000 0.42 0.07–2.19 0.31 
Age at implantation (30 days) 0.89 0.79–0.98 0.03 
Genetic/syndromic etiology ​ ​ ​ 
22q-related variant Reference ​ ​ 
IDM 2.72 0.50–19.5 0.27 
No etiology identified 5.09 0.36–163.5 0.28 

Multivariable logistic regression, including variables of interested selected through stepwise backward selection. Bold indicates significant value. IDM, infant of diabetic mother. OR, odds ratio; CI, confidence interval.

Most children who receive CTTI demonstrate absolute T cell numbers and percentages of recent thymic emigrants below the age adjusted levels seen in healthy children (20, 21). However, the majority of recipients express a diverse T cell repertoire, display normal T cell function, and can effectively wean infection prophylaxis (21, 22, 23). Many factors potentially impact thymus function and the extent of T cell immune reconstitution following implantation (20). Infection preceding or following implantation, preexisting autoimmunity, donor or recipient age, and use of immune suppressive medications have all been implicated in affecting the magnitude of T cell reconstitution (16, 24). Serious infections occurred after CTTI in over 50% of the cohort and new viral infections in 75%. However, testing for viral and other infections was inconsistent after CTTI, impairing the analysis of the relationship between infection and immune reconstitution. This study focuses on specific factors that may also influence T cell outcomes following CTTI: the extent of HLA mismatch, T cell function prior to CTTI (as measured by mitogen proliferation), receipt of immune suppressing agents, and recipient age.

RETHYMIC prescribing information only requires that recipients be screened for anti-HLA antibodies prior to receiving treatment (15). Recipients who are positive for anti-HLA antibodies need to receive RETHYMIC from a donor who does not express the sensitized HLA alleles to prevent allograft rejection (21, 25, 26, 27). However, HLA matching of the donor thymus to the recipient is not required. In the context of solid organ transplantation, such as renal transplant, partial HLA matching can induce tolerance and improve long-term graft survival when compared to complete mismatch. However, these studies required thousands of participants to show the effect. Our study demonstrates that children with CA can achieve immune reconstitution of total and naive T cells regardless of the degree of HLA mismatch between thymus donor and recipient. It is possible that with time and a larger number of children being treated with thymus implantation, an association may be identified that supports partial HLA matching to improve self-tolerance and enhanced T cell reconstitution. However, fewer than 200 children have received CTTI in the United States, making this outcome challenging to evaluate in context of other potentially influential variables (16). Similarly, limited donor tissue availability makes complete HLA matching between donor and recipient impractical.

As can be seen in patients with typical SCID in the early years after hematopoietic stem cell transplant, successful T cell reconstitution can be achieved in patients with CA without the need for pretransplant conditioning (14, 28, 29). In our study, participants with CA who had no circulating T cells, minimal T cell function, and no evidence of autoimmunity or host autoreactive T cells representing oligoclonal T cell expansion were, in many cases, not treated with immune suppression before or after implantation (19). It was presumed that the lack of T cell function would prevent allograft rejection of the donor thymus stroma cells (30). Gradual infiltration of recipient antigen-presenting cells into the allograft would eventually lead to the induction of self-tolerance, preserve graft function, and lead to normal T cell development (27). In the IND trials, these participants were referred to as a typical phenotype as opposed to those participants with functional T cells or autoimmunity, referred to as an atypical phenotype (16). In contrast, participants with CA and evidence of T cell function require immune suppression to prevent allograft rejection and curtail autoimmunity (19). In the analysis for this study, we compared T cell reconstitution among participants with CA who exhibited baseline mitogen proliferation responses <5,000 cpm (<10% of the lower limit of normal for the laboratory) (31) to those with mitogen proliferation responses ≥5,000 cpm. While there were no significant differences in total T cell numbers and T cell function 1 year after CTTI, total naive T cells were significantly higher in the cohort with baseline proliferation responses <5,000 cpm. These results suggest that optimal restoration of thymus function occurs when implantation is performed in the setting of minimal baseline T cell function and that thymopoiesis and immune reconstitution may be hindered by the presence of host autoreactive oligoclonal T cells and ongoing autoimmunity. Unlike some forms of SCID, patients with CA do not have an intrinsic defect in T cell function. Low mitogen proliferation responses more likely reflect very low T cell numbers as has been shown when comparing T cell proliferation using tritiated thymidine uptake compared to flow cytometry–based T cell functional assay (31). In the current management of CA, immune suppression is administered if the T cell functional assay is >10% of the lower limit of normal, regardless of the assay type (Fig. 7).

Figure 7.
Flowchart for immune suppression protocol in congenital athymia. The flowchart illustrating the decision algorithm for determining the use of immune suppression in infants with congenital athymia and criteria for weaning immune suppression post-implantation. The flowchart starts with congenital athymia with naïve T cells less than 50 cells per cubic millimeter. It then branches into two paths based on PHA levels. If PHA is less than 10 percent of the lower limit of normal and CD3 T cells are less than 100 cells per cubic millimeter with no autoimmunity, no immune suppression is required. If PHA is greater than 10 percent of the lower limit of normal or CD3 T cells are greater than 100 cells per cubic millimeter or there is autoimmunity, ATG is administered prior to CTTI with or without a calcineurin inhibitor. Immune suppression is weaned when CD3 is greater than 200 cells per cubic millimeter and naïve T cells are greater than 10 percent of total CD3 T cells.

Immune suppression protocol. Proposed decision algorithm for determining use of immune suppression in infants with CA and criteria for weaning immune suppression after implantation. ATG, antithymocyte globulin.

Figure 7.
Flowchart for immune suppression protocol in congenital athymia. The flowchart illustrating the decision algorithm for determining the use of immune suppression in infants with congenital athymia and criteria for weaning immune suppression post-implantation. The flowchart starts with congenital athymia with naïve T cells less than 50 cells per cubic millimeter. It then branches into two paths based on PHA levels. If PHA is less than 10 percent of the lower limit of normal and CD3 T cells are less than 100 cells per cubic millimeter with no autoimmunity, no immune suppression is required. If PHA is greater than 10 percent of the lower limit of normal or CD3 T cells are greater than 100 cells per cubic millimeter or there is autoimmunity, ATG is administered prior to CTTI with or without a calcineurin inhibitor. Immune suppression is weaned when CD3 is greater than 200 cells per cubic millimeter and naïve T cells are greater than 10 percent of total CD3 T cells.

Immune suppression protocol. Proposed decision algorithm for determining use of immune suppression in infants with CA and criteria for weaning immune suppression after implantation. ATG, antithymocyte globulin.

Close modal

The majority of CTTI recipients included in our study received immune suppression, even those with baseline mitogen proliferation responses <5,000 cpm. This primarily occurred due to the development of autoimmunity. 53 participants had features of autoimmunity (e.g., rash/dermatitis, lymphadenopathy, cytopenia(s), alopecia, hepatitis, and hypothyroidism) prior to CTTI. Of those, 37 had notable T cell infiltration on skin biopsy and oligoclonal T cell expansion, as previously described (3, 18, 19, 21, 30, 32). Over the years of the IND studies, which spanned from 1997 to 2021, the therapeutic approach for the use of immune suppression evolved, as reflected in the broad array of immune suppressive medications used in the protocols. As early as 2008, it was evident that administration of immune suppression did not appear to adversely affect T cell reconstitution following CTTI (24). Additionally, post-CTTI thymus allograft biopsies have shown robust thymopoiesis among participants with the atypical phenotype who received postimplantation immune suppression (20, 30). In our study, three participants received alemtuzumab after CTTI for management of autoimmunity due to host autoreactive oligoclonal T cells, which has been shown to be effective with similar disease states such as GVHD (33, 34). Analysis of our larger cohort demonstrated that immune suppression administration consisting of rATG or calcineurin inhibitors, pre- and/or after CTTI—whether for the treatment of humoral-mediated autoimmunity or presence of host autoreactive T cells or for the prevention of allograft rejection—did not impair immune reconstitution. However, systemic corticosteroids have been implicated in damaging thymus tissue grafts (30).

Younger age at time of CTTI appears to play a key role in optimal T cell reconstitution following implantation. When examined independently, there is a correlation between implantation at a younger age with improved CD4 and naive CD4 T cell reconstitution by 12 mo after implantation. This finding is further supported by a multivariable analysis whereby each 30-day increase in age without receiving a thymus implantation was associated with an 11% decrease in the odds of naive T cell reconstitution at 12 mo after implantation. However, the smaller cohort size limited the number of variables, which could be included within the regression modeling to avoid overfitting the data set. Thus, the results primarily reflect the cohort and become less generalizable and should be interpreted cautiously. Studies of rare diseases are often hampered by small sample size, limiting the number of variables that could be reasonably included within regression modeling. Demographic variables such as race and ethnicity were not examined due to the ambiguity in reporting of these variables, and ascertaining race and ethnicity information from the electronic medical record has been demonstrated to be unreliable (35, 36, 37). However, as in the case of infants with SCID, older age related to delay of CTTI increases the risk of infection, development of autoimmunity, and oligoclonal T cell expansion likely increasing morbidity and mortality (20, 21, 24). These factors will need to be examined collectively to determine the optimal timing for CTTI. To date, detailed analysis of T cell reconstitution following CTTI has primarily focused on total T cell numbers and clinical outcomes, including survival, the capacity to clear preexisting infections, and wean prophylaxis (16, 20). Notably, a substantial proportion of participants, ∼40%, did not have naive T cells >100 cells/mm3 at 12 mo, and most children had total T cell counts below the 10th percentile for age yet do well clinically (16). Clearly better biomarkers are needed to fully assess reconstitution of cellular immunity following CTTI.

The degree of HLA matching does not appear to impact T cell reconstitution, so currently, implantation is carried out using mismatched donors except when the recipient exhibits a positive panel reactive antibody result (15). Common criteria for thymus implantation includes naive T cells <50 cells/mm3, a known genetic defect or embryopathy that affects thymus development, and no genetic evidence of SCID. Infants who have absent or very low T cell numbers and function (as measured by mitogen response) with no evidence of autoimmunity can reconstitute T cell immunity following CTTI without the need for immune suppression. Evidence of T cell function or autoimmunity prior to implantation will require immune suppression. Current immune suppression protocols include rATG for three consecutive days prior to implantation with the addition of a calcineurin inhibitor (Fig. 7) (15, 16). Immune suppression can be weaned when there is evidence of thymus output, generally a minimum of 6 mo after CTTI when CD3 T cells are >200 cells/mm3 with at least 10% being naive T cells, and no evidence of host autoreactive T cells or autoimmunity (38). The younger the age at time of implantation, the better the degree of naive T cell reconstitution. Early diagnosis and prompt referral for CTTI are therefore critical determinants of successful thymic reconstitution.

Study design

This study involved retrospective analysis of previously collected data for participants enrolled in IND 9836, consisting of 10 prospective, single-arm, open-label protocols initiated in 1993 and completed in 2023 approved by the Duke Health Institutional Review Board (Pro00104164; Umbrella Protocol for Thymus Transplantation Protocols). Participants were children under the age of 5 years with written consent obtained from parent(s) or guardian(s). The database is maintained by Sumitomo Pharma America, Inc., who provided study data that was de-identified and coded prior to analysis. Eligibility criteria included having a clinical phenotype/molecular variant associated with CA, T cell counts <50 cells/mm3 or naive T cell (CD3/CD4/CD45RA/CD62L) counts <50 cells/mm3 on two separate occasions, and absence of genetic defects associated with SCID (39). Syndromic features associated with CA included congenital heart defects in 89.7% (n = 87) and hypoparathyroidism, defined as low serum calcium levels, in 84.5% (n = 82). Exclusion criteria included heart surgery within 4 wk prior to CTTI or anticipated within 3 mo after CTTI, poor surgical candidate, HIV infection, prior attempts at immune reconstitution (e.g., hematopoietic stem cell transplant or previous thymus implant, etc.), ventilator dependence, and cytomegalovirus infection for patients requiring immune suppression. Assessments for autoimmunity were based on medical history extracted from the database including skin biopsy of rashes, report of autoimmune thrombocytopenia, neutropenia or anemia, adenopathy, enteropathy, or autoimmune endocrinopathy.

The primary outcomes evaluated were absolute CD3, CD4, CD8, and naive CD4 (CD3/CD4/CD45RA/CD62L) T cell counts at regular intervals between 3 and 24 mo after CTTI. Secondary outcomes evaluated were absolute B cell and NK cell counts at regular intervals between 3 and 24 mo after CTTI and T cell proliferation response to PHA up to 24 mo after CTTI. Many of the participants returned to their referring centers after CTTI, which resulted in some variation in the sequence of the postimplantation lymphocyte enumeration, thus the number of participants who had flow cytometry performed at each time interval after CTTI varied. Three participants received alemtuzumab for autoimmune comorbidities after CTTI, and their lymphocyte enumeration and PHA response results following receipt of alemtuzumab were excluded from analysis.

Thymus donor tissue

Cultured thymic tissue is manufactured using tissue obtained from unrelated, healthy donor infants age ≤9 mo who are undergoing elective cardiac surgery for congenital heart disease. The thymic tissue is routinely excised to allow the surgeon access to the heart (15, 16). Parent(s) of the donor provide consent to use their child’s thymus tissue (21). Donor infants and their mothers are screened for the presence of pathogens, and infants are tested to assure they have normal cellular immunity (21).

Donated thymus tissue manufacturing involves 12–21 days in culture to produce the tissue used for implantation (15, 17, 18). The manufacturing process removes most of the donor T cells from the thymus tissue, but epithelial viability and tissue structure are preserved. The product is thoroughly tested for sterility, endotoxin, and Mycoplasma spp. before release for administration (15).

HLA typing of thymus donors and recipients

HLA typing was performed in the Duke University Hospital Clinical Transplant Immunology Laboratory using high-resolution molecular-based sequencing (40). Participants who had low-resolution sequencing resulting in ambiguity with respect to the exact amino acid sequence were excluded from the HLA analysis. The degree of HLA mismatch at A, B, and DRB1 alleles was classified as either complete mismatch (mismatch of all six alleles) or partial match (match of at least one allele). Per protocol, all patients were screened for panel reactive antibodies prior to CTTI (16). If positive, a donor was selected who did not express the impacted allele.

Lymphocyte function measured by proliferation response to PHA mitogen

T cell function prior to and following CTTI was assessed using proliferation responses to PHA performed 1 mo prior to CTTI and up to 24 mo after CTTI. Assays were performed in the Duke University Health System Clinical Immunology Laboratory. Briefly, peripheral blood mononuclear cells were isolated using density gradient centrifugation and SepMate tubes and incubated at 37°C, 5% CO2, and 100% humidity for 3 days in the presence of three different concentrations of PHA. Culture was performed in triplicate in 96-well microtiter plates pulsed with 1 µCi 3H thymidine for 6 h and then harvested with a Revvity automated sample harvester. Thymidine uptake was measured using a PerkinElmer MicroBeta2 Counter and optimal uptake recorded in cpm. Participants with baseline T cell proliferative response to PHA <5,000 cpm were classified as having no T cell functional capacity, whereas those with PHA responses >5,000 cpm were classified as having measurable T cell function (31).

Immune suppression treatment for autoimmunity or to prevent CTTI rejection

According to protocols, the extent of immune suppression was based on the baseline PHA proliferation response (16). Participants with baseline T cell proliferative response to PHA <5,000 cpm, total T cells <100 cells/mm3, and no evidence of autoimmunity did not receive immune suppression. Those with a baseline T cell proliferative response to PHA >5,000 cpm, CD4 T cells >100 cells/mm3, or autoimmunity received immune suppression, most commonly 3 days of rATG, in combination with low-dose glucocorticoids to prevent adverse reactions and a calcineurin inhibitor following implantation (16, 19). Some participants received additional immune suppression with glucocorticoids, mycophenolate mofetil, alemtuzumab, horse antithymocyte globulin, rituximab, sirolimus, daclizumab, infliximab, azathioprine, daratumumab, and basiliximab. For the analysis of outcomes, participants were grouped based on having received any immune suppression therapy either before, during, or after CTTI.

Statistical analysis

Univariable statistical analyses were performed using Version 9.5.1 or later of GraphPad Prism. Data were subjected to Shapiro–Wilk normality tests prior to analysis. Descriptive statistics were used to summarize participant characteristics, including sex, race, ethnicity, genetic/syndromic etiology, age at time of CTTI, baseline T cell proliferation response to PHA, and whether a participant received immune suppression. Differences in lymphocyte subsets between participants with complete HLA mismatch versus partial HLA match, participants who received immune suppression versus those who did not, and participants with baseline T cell proliferation response to PHA <5,000 cpm versus ≥5,000 cpm were determined by Mann–Whitney U tests. P values <0.05 were considered statistically significant. Pearson correlation was used to evaluate the correlation between T cell subsets and age at time of implantation.

Multivariable logistic regression analysis to assess the outcome of naive T cell reconstitution after CTTI was performed using R (v4.5.0; R Core Team 2025 and RStudio) (v2025.05.0+496; Posit Team, 2025). Participants were classified as having achieved reconstitution at 12 mo after CTTI if their naive CD4 T cell count was >100 cells/mm3. A single participant who received alemtuzumab prior to 12 mo was excluded from the analysis. Independent variables included participant sex, genetic/syndromic etiology, HLA mismatch, baseline PHA, age at time of implantation, and immune suppression. Race and ethnicity data were excluded as the reported race and ethnicity were ambiguous for many participants in the database, and collection of this information through the electronic medical record is unreliable (35, 36, 37). Underlying genetic/syndromic etiology categories were defined as: 22q-related variant (having 22q11.2DS, phenotypic characteristics of CHARGE syndrome and/or identified CHD7 mutation, PAX1 deficiency, or FOXN1 deficiency), infant of a diabetic mother, or no etiology identified. Stepwise backward selection was employed to remove independent variables from the model with a P value >0.5.

Online supplemental material

Table S1 shows alemtuzumab administration after CTTI. Table S2 shows 3-mo median cell count analysis after CTTI.

We would like to thank the original team that designed the initial thymus implantation studies that were led by Dr. M. Louise Markert and included Jie Li, Blythe Devlin, PhD, Michele Cox, and Stephanie Gupton, PNP.

Sumitomo Pharma of America, Inc. provided support for this analysis. The original studies were supported by National Institutes of Health R01 AI047040 Thymic Transplantation in Complete DiGeorge Syndrome led by M. Louise Markert, MD, PhD (PI).

Author contributions: Samantha Cresoe-Ortiz: conceptualization, formal analysis, investigation, methodology, project administration, visualization, and writing—original draft, review, and editing. Guglielmo Venturi: data curation, formal analysis, resources, and writing—review and editing. Elizabeth A. McCarthy: conceptualization, data curation, funding acquisition, investigation, methodology, project administration, resources, visualization, and writing—review and editing. Benjamin Stewart-Bates: writing—original draft, review, and editing. Jennifer R. Heimall: visualization and writing—review and editing. Eveline Y. Wu: conceptualization and writing—review and editing. John W. Sleasman: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, supervision, validation, visualization, and writing—original draft, review, and editing. Geoffrey Hall: data curation, formal analysis, supervision, validation, visualization, and writing—review and editing.

1.
Giardino
,
G.
,
C.
Borzacchiello
,
M.
De Luca
,
R.
Romano
,
R.
Prencipe
,
E.
Cirillo
, and
C.
Pignata
.
2020
.
T-cell immunodeficiencies with congenital alterations of thymic development: Genes implicated and differential immunological and clinical features
.
Front. Immunol.
11
:
1837
.
2.
Bhalla
,
P.
,
C.A.
Wysocki
, and
N.S.C.
van Oers
.
2020
.
Molecular insights into the causes of human thymic hypoplasia with animal models
.
Front. Immunol.
11
:
830
.
3.
Markert
,
M.L.
,
M.J.
Alexieff
,
J.
Li
,
M.
Sarzotti
,
D.A.
Ozaki
,
B.H.
Devlin
,
G.D.
Sempowski
,
M.E.
Rhein
,
P.
Szabolcs
,
L.P.
Hale
, et al
.
2004
.
Complete DiGeorge syndrome: Development of rash, lymphadenopathy, and oligoclonal T cells in 5 cases
.
J. Allergy Clin. Immunol.
113
:
734
741
.
4.
Markert
,
M.L.
,
D.S.
Hummell
,
H.M.
Rosenblatt
,
S.E.
Schiff
,
T.O.
Harville
,
L.W.
Williams
,
R.I.
Schiff
, and
R.H.
Buckley
.
1998
.
Complete DiGeorge syndrome: Persistence of profound immunodeficiency
.
J. Pediatr.
132
:
15
21
.
5.
Collins
,
C.
,
E.
Sharpe
,
A.
Silber
,
S.
Kulke
, and
E.W.Y.
Hsieh
.
2021
.
Congenital athymia: Genetic etiologies, clinical manifestations, diagnosis, and treatment
.
J. Clin. Immunol.
41
:
881
895
.
6.
Hsieh
,
E.W.Y.
,
J.J.
Kim-Chang
,
S.
Kulke
,
A.
Silber
,
M.
O'Hara
, and
C.
Collins
.
2021
.
Defining the clinical, emotional, social, and financial burden of congenital athymia
.
Adv. Ther.
38
:
4271
4288
.
7.
McDonald-McGinn
,
D.M.
,
K.E.
Sullivan
,
B.
Marino
,
N.
Philip
,
A.
Swillen
,
J.A.S.
Vorstman
,
E.H.
Zackai
,
B.S.
Emanuel
,
J.R.
Vermeesch
,
B.E.
Morrow
, et al
.
2015
.
22q11.2 deletion syndrome
.
Nat. Rev. Dis. Primers
.
1
:
15071
.
8.
Sanka
,
M.
,
N.
Tangsinmankong
,
M.
Loscalzo
,
J.W.
Sleasman
, and
M.J.
Dorsey
.
2007
.
Complete DiGeorge syndrome associated with CHD7 mutation
.
J. Allergy Clin. Immunol.
120
:
952
954
.
9.
Yamazaki
,
Y.
,
R.
Urrutia
,
L.M.
Franco
,
S.
Giliani
,
K.
Zhang
,
A.M.
Alazami
,
A.K.
Dobbs
,
S.
Masneri
,
A.
Joshi
,
F.
Otaizo-Carrasquero
, et al
.
2020
.
PAX1 is essential for development and function of the human thymus
.
Sci. Immunol.
5
:eaax1036.
10.
Markert
,
M.L.
,
J.G.
Marques
,
B.
Neven
,
B.H.
Devlin
,
E.A.
McCarthy
,
I.K.
Chinn
,
A.S.
Albuquerque
,
S.L.
Silva
,
C.
Pignata
,
G.
de Saint Basile
, et al
.
2011
.
First use of thymus transplantation therapy for FOXN1 deficiency (nude/SCID): A report of 2 cases
.
Blood
.
117
:
688
696
.
11.
Kreins
,
A.Y.
,
F.
Dhalla
,
A.M.
Flinn
,
E.
Howley
,
O.
Ekwall
,
A.
Villa
,
F.J.T.
Staal
,
G.
Anderson
,
A.R.
Gennery
,
G.A.
Holländer
, et al
.
2024
.
European Society for Immunodeficiencies guidelines for the management of patients with congenital athymia
.
J. Allergy Clin. Immunol.
154
:
1391
1408
.
12.
Howley
,
E.
,
M.
Soomann
, and
A.Y.
Kreins
.
2024
.
Parental engagement in identifying information needs after newborn screening for families of infants with suspected athymia
.
J. Clin. Immunol.
44
:
79
.
13.
Howley
,
E.
,
Z.
Golwala
,
M.
Buckland
,
F.
Barzaghi
,
S.
Ghosh
,
S.
Hackett
,
R.
Hague
,
F.
Hauck
,
U.
Holzer
,
A.
Klocperk
, et al
.
2024
.
Impact of newborn screening for SCID on the management of congenital athymia
.
J. Allergy Clin. Immunol.
153
:
330
334
.
14.
Dvorak
,
C.C.
,
E.
Haddad
,
J.
Heimall
,
E.
Dunn
,
R.H.
Buckley
,
D.B.
Kohn
,
M.J.
Cowan
,
S.-Y.
Pai
,
L.M.
Griffith
,
G.D.E.
Cuvelier
, et al
.
2023
.
The diagnosis of severe combined immunodeficiency (SCID): The primary immune deficiency treatment consortium (PIDTC) 2022 definitions
.
J. Allergy Clin. Immunol.
151
:
539
546
.
15
Enzyvant Therapeutics GmbH
.
2021
.
RETHYMIC (Allogeneic Processed Thymus Tissue–Agdc) [Package Insert]
.
Sumitomo Pharma Co., Ltd.
,
Cambridge, MA
.
16.
Markert
,
M.L.
,
S.E.
Gupton
, and
E.A.
McCarthy
.
2022
.
Experience with cultured thymus tissue in 105 children
.
J. Allergy Clin. Immunol.
149
:
747
757
.
17.
Markert
,
M.L.
,
B.H.
Devlin
, and
E.A.
McCarthy
.
2010
.
Thymus transplantation
.
Clin. Immunol.
135
:
236
246
.
18.
Markert
,
M.L.
,
B.H.
Devlin
,
I.K.
Chinn
, and
E.A.
McCarthy
.
2009
.
Thymus transplantation in complete DiGeorge anomaly
.
Immunol. Res.
44
:
61
70
.
19.
Markert
,
M.L.
,
M.J.
Alexieff
,
J.
Li
,
M.
Sarzotti
,
D.A.
Ozaki
,
B.H.
Devlin
,
D.A.
Sedlak
,
G.D.
Sempowski
,
L.P.
Hale
,
H.E.
Rice
, et al
.
2004
.
Postnatal thymus transplantation with immunosuppression as treatment for DiGeorge syndrome
.
Blood
.
104
:
2574
2581
.
20.
Davies
,
E.G.
,
M.
Cheung
,
K.
Gilmour
,
J.
Maimaris
,
J.
Curry
,
A.
Furmanski
,
N.
Sebire
,
N.
Halliday
,
K.
Mengrelis
,
S.
Adams
, et al
.
2017
.
Thymus transplantation for complete DiGeorge syndrome: European experience
.
J. Allergy Clin. Immunol.
140
:
1660
1670.e16
.
21.
Markert
,
M.L.
,
M.
Sarzotti
,
D.A.
Ozaki
,
G.D.
Sempowski
,
M.E.
Rhein
,
L.P.
Hale
,
F.
Le Deist
,
M.J.
Alexieff
,
J.
Li
,
E.R.
Hauser
, et al
.
2003
.
Thymus transplantation in complete DiGeorge syndrome: Immunologic and safety evaluations in 12 patients
.
Blood
.
102
:
1121
1130
.
22.
Markert
,
M.L.
,
B.H.
Devlin
,
M.J.
Alexieff
,
J.
Li
,
E.A.
McCarthy
,
S.E.
Gupton
,
I.K.
Chinn
,
L.P.
Hale
,
T.B.
Kepler
,
M.
He
, et al
.
2007
.
Review of 54 patients with complete DiGeorge anomaly enrolled in protocols for thymus transplantation: Outcome of 44 consecutive transplants
.
Blood
.
109
:
4539
4547
.
23.
Lee
,
J.H.
,
M.L.
Markert
,
C.P.
Hornik
,
E.A.
McCarthy
,
S.E.
Gupton
,
I.M.
Cheifetz
, and
D.A.
Turner
.
2014
.
Clinical course and outcome predictors of critically ill infants with complete DiGeorge anomaly following thymus transplantation
.
Pediatr. Crit. Care Med.
15
:
e321
e326
.
24.
Markert
,
M.L.
,
B.H.
Devlin
,
I.K.
Chinn
,
E.A.
McCarthy
, and
Y.J.
Li
.
2008
.
Factors affecting success of thymus transplantation for complete DiGeorge anomaly
.
Am. J. Transpl.
8
:
1729
1736
.
25.
Fitch
,
Z.W.
,
L.
Kang
,
J.
Li
,
S.J.
Knechtle
,
J.W.
Turek
,
A.D.
Kirk
,
M.L.
Markert
, and
J.
Kwun
.
2022
.
Introducing thymus for promoting transplantation tolerance
.
J. Allergy Clin. Immunol.
150
:
549
556
.
26.
Kreins
,
A.Y.
,
F.
Junghanns
,
W.
Mifsud
,
K.
Somana
,
N.
Sebire
,
D.
Rampling
,
A.
Worth
,
M.
Sirin
,
C.
Schuetz
,
A.
Schulz
, et al
.
2020
.
Correction of both immunodeficiency and hypoparathyroidism by thymus transplantation in complete DiGeorge syndrome
.
Am. J. Transpl.
20
:
1447
1450
.
27.
Hale
,
L.P.
,
J.
Neff
,
L.
Cheatham
,
D.
Cardona
,
M.L.
Markert
, and
J.
Kurtzberg
.
2020
.
Histopathologic assessment of cultured human thymus
.
PLoS One
.
15
:e0230668.
28.
Roifman
,
C.M.
,
R.
Somech
,
F.
Kavadas
,
L.
Pires
,
A.
Nahum
,
I.
Dalal
, and
E.
Grunebaum
.
2012
.
Defining combined immunodeficiency
.
J. Allergy Clin. Immunol.
130
:
177
183
.
29.
Buckley
,
R.H.
,
S.E.
Schiff
,
R.I.
Schiff
,
L.
Markert
,
L.W.
Williams
,
J.L.
Roberts
,
L.A.
Myers
, and
F.E.
Ward
.
1999
.
Hematopoietic stem-cell transplantation for the treatment of severe combined immunodeficiency
.
N. Engl. J. Med.
340
:
508
516
.
30.
Markert
,
M.L.
,
J.
Li
,
B.H.
Devlin
,
J.C.
Hoehner
,
H.E.
Rice
,
M.A.
Skinner
,
Y.-J.
Li
, and
L.P.
Hale
.
2008
.
Use of allograft biopsies to assess thymopoiesis after thymus transplantation
.
J. Immunol.
180
:
6354
6364
.
31.
Abraham
,
R.S.
,
A.
Basu
,
J.R.
Heimall
,
E.
Dunn
,
A.
Yip
,
M.
Kapadia
,
N.
Kapoor
,
L.F.
Satter
,
R.
Buckley
,
R.
O'Reilly
, et al
.
2024
.
Relevance of lymphocyte proliferation to PHA in severe combined immunodeficiency (SCID) and T cell lymphopenia
.
Clin. Immunol.
261
:
109942
.
32.
Selim
,
M.A.
,
M.L.
Markert
,
J.L.
Burchette
,
C.M.
Herman
, and
J.W.
Turner
.
2008
.
The cutaneous manifestations of atypical complete DiGeorge syndrome: A histopathologic and immunohistochemical study
.
J. Cutan. Pathol.
35
:
380
385
.
33.
Nikiforow
,
S.
,
H.T.
Kim
,
B.
Bindra
,
S.
McDonough
,
B.
Glotzbecker
,
P.
Armand
,
J.
Koreth
,
V.T.
Ho
,
E.P.
Alyea
3rd
,
B.R.
Blazar
, et al
.
2013
.
Phase I study of alemtuzumab for therapy of steroid-refractory chronic graft-versus-host disease
.
Biol. Blood Marrow Transpl.
19
:
804
811
.
34.
Khandelwal
,
P.
,
C.
Emoto
,
T.
Fukuda
,
A.A.
Vinks
,
L.
Neumeier
,
C.E.
Dandoy
,
J.
El-Bietar
,
S.
Chandra
,
S.M.
Davies
,
J.J.
Bleesing
, et al
.
2016
.
A prospective study of alemtuzumab as a second-line agent for steroid-refractory acute graft-versus-host disease in pediatric and young adult allogeneic hematopoietic stem cell transplantation
.
Biol. Blood Marrow Transpl.
22
:
2220
2225
.
35.
Johnson
,
J.A.
,
B.
Moore
,
E.K.
Hwang
,
A.
Hickner
, and
H.
Yeo
.
2023
.
The accuracy of race & ethnicity data in US based healthcare databases: A systematic review
.
Am. J. Surg.
226
:
463
470
.
36.
Klinger
,
E.V.
,
S.V.
Carlini
,
I.
Gonzalez
,
S.S.
Hubert
,
J.A.
Linder
,
N.A.
Rigotti
,
E.Z.
Kontos
,
E.R.
Park
,
L.X.
Marinacci
, and
J.S.
Haas
.
2015
.
Accuracy of race, ethnicity, and language preference in an electronic health record
.
J. Gen. Intern. Med.
30
:
719
723
.
37.
Polubriaginof
,
F.C.G.
,
P.
Ryan
,
H.
Salmasian
,
A.W.
Shapiro
,
A.
Perotte
,
M.M.
Safford
,
G.
Hripcsak
,
S.
Smith
,
N.P.
Tatonetti
, and
D.K.
Vawdrey
.
2019
.
Challenges with quality of race and ethnicity data in observational databases
.
J. Am. Med. Inform. Assoc.
26
:
730
736
.
38.
Gupton
,
S.E.
,
E.A.
McCarthy
, and
M.L.
Markert
.
2021
.
Care of children with DiGeorge before and after cultured thymus tissue implantation
.
J. Clin. Immunol.
41
:
896
905
.
39.
Kalina
,
T.
,
M.
Bakardjieva
,
M.
Blom
,
M.
Perez-Andres
,
B.
Barendregt
,
V.
Kanderova
,
C.
Bonroy
,
J.
Philippé
,
E.
Blanco
,
I.
Pico-Knijnenburg
, et al
.
2020
.
EuroFlow standardized approach to diagnostic immunopheneotyping of severe PID in newborns and young children
.
Front. Immunol.
11
:
371
.
40.
Barker
,
D.J.
,
G.
Maccari
,
X.
Georgiou
,
M.A.
Cooper
,
P.
Flicek
,
J.
Robinson
, and
S.G.E.
Marsh
.
2023
.
The IPD-IMGT/HLA database
.
Nucleic Acids Res.
51
:
D1053
D1060
.

Author notes

Disclosures: G. Venturi, E.A. McCarthy, and G. Hall reported "other" from Sumitomo Pharma America (SMPA) during the conduct of the study and have a portion of their salary paid by funding from SMPA. J.R. Heimall reported personal fees from Sumitomo, UpToDate, and CSL Behring outside the submitted work and receives research support from SMPA. J.W. Sleasman reported grants from SMPA during the conduct of the study and personal fees from SMPA outside the submitted work. J.W. Sleasman receives consulting fees from SMPA, Argenx, and Novartis Pharmaceutical Corporation. He has a portion of his salary supported by a research grant from SMPA and serves on the scientific advisory board of SMPA. No other disclosures were reported.

S. Cresoe-Ortiz’s current affiliation is Allergy Partners of Herndon-Reston, Herndon, VA, USA.

B. Stewart-Bates’s current affiliation is Department of Internal Medicine, Section of Pulmonary, Critical Care, Allergy and Immunologic Diseases, Atrium Health Wake Forest Baptist, Winston Salem, NC, USA.

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

or Create an Account

Close Modal
Close Modal