Vol.:(0123456789) Journal of Clinical Immunology (2024) 44:63 https://doi.org/10.1007/s10875-024-01667-z ORIGINAL ARTICLE Post‑transplant Inflammatory Bowel Disease Associated with Donor‑Derived TIM‑3 Deficiency Adrian Baldrich1 · Dominic Althaus2 · Thomas Menter3 · Julia R. Hirsiger4 · Julius Köppen1 · Robin Hupfer1 · Darius Juskevicius5 · Martina Konantz6 · Angela Bosch7 · Beatrice Drexler8 · Sabine Gerull9 · Adhideb Ghosh10 · Benedikt J. Meyer1,8 · Annaise Jauch1 · Katia Pini1 · Fabio Poletti1 · Caroline M. Berkemeier11 · Ingmar Heijnen11 · Isabelle Panne2 · Claudia Cavelti‑Weder7,12 · Jan Hendrik Niess2 · Karen Dixon13 · Thomas Daikeler14,20 · Karin Hartmann6,15 · Christoph Hess16,17,20 · Jörg Halter8 · Jakob Passweg8 · Alexander A. Navarini18 · Hiroyuki Yamamoto1,19 · Christoph T. Berger4,20 · Mike Recher1,20  · Petr Hruz2 Received: 21 August 2023 / Accepted: 29 January 2024 © The Author(s) 2024 Abstract Inflammatory bowel disease (IBD) occurring following allogeneic stem cell transplantation (aSCT) is a very rare condition. The underlying pathogenesis needs to be better defined. There is currently no systematic effort to exclude loss- or gain-of-function mutations in immune-related genes in stem cell donors. This is despite the fact that more than 100 inborn errors of immunity may cause or contribute to IBD. We have molecularly characterized a patient who developed fulminant inflammatory bowel disease following aSCT with stable 100% donor-derived hematopoiesis. A pathogenic c.A291G; p.I97M HAVCR2 mutation encoding the immune checkpoint protein TIM-3 was identified in the patient’s blood-derived DNA, while being absent in DNA derived from the skin. TIM-3 expression was much decreased in the patient’s serum, and in vitro-activated patient-derived T cells expressed reduced TIM-3 levels. In contrast, T cell-intrinsic CD25 expression and production of inflammatory cytokines were preserved. TIM-3 expression was barely detectable in the immune cells of the patient’s intestinal mucosa, while being detected unambiguously in the inflamed and non-inflamed colon from unrelated individuals. In conclusion, we report the first case of acquired, “transplanted” insufficiency of the regulatory TIM-3 checkpoint linked to post-aSCT IBD. Keywords Inborn errors of immunity · inflammatory bowel disease · HAVCR2 · TIM-3 · immune checkpoint · stem cell transplantation Adrian Baldrich, Dominic Althaus, Mike Recher, and Petr Hruz contributed equally to this work. Adrian Baldrich and Dominic Althaus are shared first authors. Mike Recher and Petr Hruz are shared senior authors. * Mike Recher mike.recher@usb.ch * Petr Hruz petr.hruz@usb.ch; petr.hruz@clarunis.ch Extended author information available on the last page of the article Introduction Inborn errors of immunity (IEI) are a large group of geneti- cally determined diseases caused by germline loss- or gain- of-function mutations in immune-related genes. More than 480 IEI entities have been described to date [1]. More than 100 of those can be associated with IBD [2, 3]. The clinical penetrance of IEI-related mutations is often low to mod- erate [4]. However, immune-dysregulating post-transplant events, such as lymphopenia, treatment with immune- regulating drugs or infections might increase the clinical penetrance [4, 5]. In addition, environmental factors, such as the herbizide propyzamide, contribute to IBD pathogen- esis [6]. The clinical phenotype of IEI is often broad and http://crossmark.crossref.org/dialog/?doi=10.1007/s10875-024-01667-z&domain=pdf http://orcid.org/0000-0002-9121-6936 http://orcid.org/0000-0003-2767-0445 Journal of Clinical Immunology (2024) 44:63 63 Page 2 of 10 may even vary within carriers of the exact same variant in a family [7, 8]. The occurrence of inflammatory bowel disease (IBD) in non-IEI patients after allogeneic stem cell transplan- tation for hematological malignancies is extremely rare [9–13]. No molecular explanation has yet been uncovered in these rare cases. Allogeneic stem cell transplantation (aSCT) can be curative for patients with hematological malignancies and even represents a potentially beneficial treatment option for severe treatment-refractory Crohn’s disease [14]. Post aSCT, patients can develop graft- versus-host disease (GvHD) affecting various organs, including the gut, which is caused by donor-derived T cell-mediated inflammation [15]. Histological findings of GvHD of the small bowel and colon are characterized by crypt epithelial cell apoptosis and segmental crypt loss or fibrosis of the submucosa, with or without a dense lymphocytic infiltrate [16]. By contrast, the pathogenesis of a post-aSCT IBD remains unclear. Since aSCT donors are currently not genetically screened for carriage of rare IEI variants, there is a non-neglectable risk of transferring risk alleles potentially modifying post-transplant immune health in general and post-aSCT IBD in particular. Methods Consent The prospective cohort study of the functional and genetic architecture of patients with primary immune dysregula- tion (FuGe-PID) has been approved by the ethics commis- sion of Northwestern Switzerland (EKNZ215-187). Flow Cytometric Analysis of T Cells and In Vitro Stimulation of Peripheral Blood Mononuclear Cells (PBMC) Lymphocyte flow cytometric phenotyping of peripheral blood depicted in Supplemental Table 1 was performed as part of the routine immunology laboratory diagnostics of the Basel University Hospital as described [17]. Periph- eral blood mononuclear cells (PBMCs) were isolated by standard density-gradient centrifugation (Lymphoprep, Fresenius Kabi). For detection of TIM-3 expression, freshly isolated PBMCs were adjusted to a concentration of 2 × 106/ml and stimulated with 5 µg/ml phytohemagglutinin Table 1 Lymphocyte and T cell subpopulations of the patient in clinical remission (under infliximab therapy) compared to validated internal reference values Normal range Patient (year: 2021) T cell relative 55–86% (of lymphocytes) 66% T cell absolute 742–2750/μl 751/μl B cell relative 5–22% (of lymphocytes) 27% B cell absolute 80–616/μl 309/μl NK cell relative 5–26% (of lymphocytes) 6% NK cell absolute 84–724/μl 67/μl CD4 T cell relative 33–58% (of lymphocytes) 44% CD4 T cell absolute 404–1612/μl 488/μl CD8 T cell relative 13–39% (of lymphocytes) 21% CD8 T cell absolute 220–1129/μl 233/μl Naive CD4 T cells 15.7–54.7% (of CD4) 11.7% Central memory CD4 T cells 8–28.9% (of CD4) 45.6% Effector memory CD4 T cells 16.8–57.4% (of CD4) 41.2% Terminal differentiated CD4 T cells (TEMRA) 3.6–23.2% (of CD4) 1.4% Recent thymic emigrant CD4 T cells 14.1–37.2% (of CD4) 11.2% Follicular CD4 T cells 6.9–19.1% (of CD4) 26.9% Regulatory CD4 T cells 6.1–11.0% (of CD4) 10.2% Activated CD4 T cells 4.1–15.6% (of CD4) 12.0% Naïve CD8 T cells 7.0–62.5% (of CD8) 13.2% Central memory CD8 T cells 0.6–4.4% (of CD8) 10.0% Effector memory CD8 T cells 4.3–64.5% (of CD8) 61.7% Terminal differentiated CD8 T cells 8.1–60.5% (of CD8) 15.1% Activated CD8 T cells 8.7–45.2% (of CD8) 24.9% Journal of Clinical Immunology (2024) 44:63 Page 3 of 10 63 (Sigma-Aldrich) and 0.325 IE/ml IL-2 (Novartis). Immune cell populations and Tim-3 expression were identified by staining with fluorophore-conjugated anti-CD4, anti-CD8, anti-CD25, and anti-Tim-3 vs. mouse IgG1 κ isotype control (all BioLegend) at 4 °C for 30 min. For detection of cytokine production, flat bottom plates were coated overnight at 4 °C with 1 µg/ml agonistic anti-CD3 (OKT3, BioLegend) and 2 µg/ml agonistic anti-CD28 (CD28.2, BioLegend). Freshly isolated PBMCs were adjusted to 2 × 106/ml and incubated for 4 h on the previously coated plate in the presence of Bre- feldin A (BioLegend). Cytokine expression was identified by staining with fluorophore-conjugated anti-CD3, anti-CD4, anti-CD8, anti-IFNG, anti-IL17, and anti-CD69 (all Bio- Legend). Fluorescence data was acquired using CytoFLEX (Beckman Coulter) cytometers and BD LSR Fortessa (BD Biosciences). Cell populations and median fluorescence intensities (MFI) were determined using FlowJo (BD Bio- sciences, formerly developed by FlowJo LLC). In vitro stim- ulated PBMC as described above were additionally cultured in the absence of Brefeldin A, and 4 h later, cell pellets were stored in RNA lysis buffer to analyze cytokine mRNA pro- duction. A full description of the used antibodies is provided in Supplemental Methods. Flowcytometric Assessment of Monocytes 1.5 × 106 PBMC were stained for 30 min at 4 °C using antibod- ies against CD163 (BV421, clone GHI/61), CCR2 (BV510, clone K036C2), CD14 (BV605, clone MSE2), CD16 (APC- Fire750, clone 3G8), CD11b (BV711, clone ICRF44), HLA- DR (A488, clone L243), CD45 (PerCpCy5.5, clone HI30), CD209 (PE, clone 9E9A8), CD19 (PECy5, clone HIB19), CD3 (PECy5, clone UCHT1), CD56 (PECy5, clone 5.1H11), CD20 (PECy5, clone 2H7), TCRb (PECy5, clone UP26), and Fc block (clone FC1). All antibodies were purchased from BioLegend, except for Fc block which was obtained from BD Biosciences. Cell analysis was performed on a FACS LSRII Fortessa (BD Biosciences). Acquired data were analyzed using FlowJo software (Version 10.8.1, BD Biosciences). RNA Isolation, cDNA Generation, and Real‑Time PCR Analysis RNA isolation was performed using a QIAamp RNA blood mini kit according to the manufacturer’s protocol (Qiagen). Before reverse transcription, RNA was digested with DNAse I Amplification Grade Kit (Sigma) at 37 °C for 30 min. After- wards, DNAse was inactivated at 65 °C for 10 min. Next, ran- dom primers (Promega) were annealed at 70 °C for 5 min, and cDNA was synthesized by GoTaq G2 DNA Polymerase (Pro- mega) in a TProfessional TRIO PCR Thermocycler (Core Life Sciences) according to the manufacturer’s protocol. cDNA levels were assessed by quantitative PCR in a qPCR cycler ABI machine (Applied Biosystems, Thermo Fisher Scientific) using a Sybr Green method according to the manufacturer’s protocol (Promega). As reference genes for normalization, we used 18 s rRNA, Actin, and IPO8. For every gene, the mean expression of all control samples was set to 100%, and each individual sample was normalized to this (% of control). Whole Exome Sequencing and Targeted Sanger Sequencing Whole exome sequencing and bioinformatics were per- formed as recently described [17]. Peripheral blood or skin-derived genomic DNA of the index patient was isolated using the QIAamp® DNA Mini kit (Qiagen) according to the manufacturer’s protocol. DNA was amplified by polymerase chain reaction (PCR). All primers used were designed by Primer-BLAST and are listed in Supplemental Methods. End-point PCR was performed using the GoTaq G2 DNA Polymerase (Promega) according to the manufacturer’s pro- tocol with a primer concentration of 0.5 µM. PCR was per- formed on a TProfessional TRIO PCR Thermocycler (Core Life Sciences). PCR products were separated and visualized on a 1.5% agarose gel. Specific bands were cut and purified using the Qiagen Gel Extraction kit. Sanger sequencing was performed by the company Microsynth. To generate complementary DNA (cDNA) of the index patient, RNA was isolated using the QIAamp® RNA Blood Mini Kit (QIAGEN) according to the manufacturer’s proto- col. RNA concentration was determined using the NanoDrop 2000c (Thermo Fischer Scientific). DNA was digested with the DNase I Amplification Grade Kit (Sigma-Aldrich). Ran- dom primers (Promega) were annealed at 70 °C for 5 min. cDNA synthesis was performed according to the Qiagen’s GoScript Reverse Transcription System protocol in a TPro- fessional TRIO PCR Thermocycler (Core Life Sciences). Real‑Time PCR Analysis of Inflammatory Cytokine Expression RNA isolation was performed using a QIAamp RNA blood mini kit according to the manufacturer’s protocol (Qiagen). Prior to reverse transcription, RNA was digested with DNAse I Amplification Grade Kit (Sigma) at 37 °C for 30 min. After- wards, DNAse was inactivated at 65 °C for 10 min. Next, random primers (Promega) were annealed at 70 °C for 5 min, and cDNA was synthesized by GoTaq G2 DNA Polymer- ase (Promega) in a TProfessional TRIO PCR Thermocy- cler (Core Life Sciences) according to the manufacturer’s protocol. The freshly synthesized cDNA was examined by Journal of Clinical Immunology (2024) 44:63 63 Page 4 of 10 quantitative PCR in a qPCR cycler ABI machine (Applied Biosystems, Thermo Fischer Scientific) using a Sybr Green method according to the Manufacturer’s protocol (Promega). As reference genes for normalization, we used 18 s rRNA, ACTB (actin), and IPO8. Afterwards, we calculated the mean of all controls and applied it to each individual sample to calculate the percent change compared to the norm. Primers used are listed in Supplemental Methods. Pathology Studies and Immunohistology A TIM-3 specific monoclonal antibody (clone D5D5R, Cell Signaling, Danvers, MA, USA) was used to detect TIM-3 in immune histology. A CD5-specific monoclonal antibody (clone SP19, Ventana/Roche, Tucson, AZ, USA) was used to stain mucosal T cells in general. FOXP3 was stained with an antibody from ABCAM (clone SP97), and ROR-γt was stained with an antibody from Biocare Medical (clone 6F3.1). Quantification of Serum TIM‑3 and Galectin‑9 Levels by ELISA Serum TIM-3 and Galectin-9 levels were determined by ELISA kits as recently reported [18] in multiple sera from the index patient (patient) over a period of 6 years (2017–2023), sera from healthy controls (control), and sera from randomly assigned patients enrolled into our prospec- tive immune-dysregulation cohort (disease control). Chimerism Analysis in Sorted Lymphocyte and Monocyte Populations For chimerism analysis, we took advantage of the sex mis- match between patient (male) and donor (female) and used a diagnostically validated, highly sensitive (limit of detec- tion, LoD 0.01%) digital PCR-based approach to specifi- cally amplify the SRY gene sequence on the Y chromosome. CD3+CD4+ vs. CD3+CD8+ T cells and CD56+CD3− NK cells of the index patient were flow cytometrically sorted, and monocytes were enriched by using a monocyte rosette separation kit (STEMCELL Technologies). Results A currently 50-year-old male patient was treated with a 10/10 HLA allele-matched, unrelated, and sex-mismatched (female donor) allogeneic stem cell transplantation (aSCT) in August 2012 due to a T cell prolymphocytic leukemia. The clinical status of the stem cell donor was requested from the bone marrow registry, and well-being had been documented at the last 5 years after the transplant. A conditioning regimen with the BEAM-Fludarabine 2Gy total body irradiation protocol (carmustine, etoposide, cytarabine, melphalan, and fludarabin) was applied in combination with anti-thymocyte globulin (ATG) to reduce the recurrence of malignant T cells. The post-transplant course was complicated by acute graft-versus-host disease (GvHD, overall stage 3) of the skin (stage 3), liver (stage 2), and intestine (stage 1) occurring 2 weeks after aSCT. Acute GvHD which was well-controlled by steroids (which were subsequently tapered) and single administration of 10 mg alemtuzumab (anti-CD52). Exacerbation of skin GvHD was documented in September 2013, followed by reinforced immune suppression with systemic steroids and extracorporeal photopheresis for 6 months followed by treatment with the Janus kinase (JAK) inhibitor ruxolitinib. At the regular visit 2 years after transplantation in September 2014, chronic GvHD was overall scored moderate with stomatitis (stage 1), and skin GvHD (stage 2). GvHD- targeting immune-suppressive treatment could eventually be stopped. At the time of writing, only very mild chronic GvHD (skin stage 1, oral stage 1) was documented. Since aSCT, chimerism analysis in myeloid cells and lymphocytes has been repeatedly performed as part of the routine clinical follow-up, always demonstrating 100% donor chimerism (last analysis in 2019). In November 2023, we further sorted CD4+ vs. CD8+ T cells vs. NK cells vs. monocytes of the patient and demonstrated 100% donor chimerism in all these immune cell subpopulations using a highly sensitive droplet- based PCR analysis (data not shown, see Methods). Five years after aSCT, the patient presented with watery diarrhea. After stool multiplex-PCR ruled out bacterial, viral, or parasite pathogens, colonoscopy revealed a moderate left-sided colitis, histologically associated with non-specific inflammation but neither evidence of cytomegalovirus (CMV) infection nor GvHD (Lerner grade 0). Broad-spectrum antibiotics and short-term budesonide were associated with transient improvement. However, within a few weeks, the patient developed bloody diarrhea and abdominal cramps. Blood tests revealed leukocytosis, markedly elevated C-reactive protein, and a newly developed iron deficiency anemia. Stool calprotectin was > 800 ug/g stool, pathogen multiplex stool-PCR screening, including Clostridioides difficile, was negative, and the computer tomography (CT)-imaging demonstrated a severe pancolitis. A repeat colonoscopy confirmed an erosive pancolitis and a moderate terminal ileitis (Supplemental Fig. 1). Histologically, multiple crypt abscesses, distortion of the crypt architecture on colonic biopsies, and an erosive inflammation with cryptitis in the ileum were consistent with diagnosis of Crohn’s disease (CD) (Supplemental Fig. 1). No evidence of GvHD or CMV infection was found. Gastro-duodenoscopy performed at this time showed the absence of duodenal inflammation and no evidence of Whipple’s disease. High-dose prednisolone Journal of Clinical Immunology (2024) 44:63 Page 5 of 10 63 therapy with a tapering scheme, along with an infliximab induction therapy (5 mg/kg body weight), was initiated. The patient achieved remission which was maintained clinically, biochemically, and endoscopically up to the present with infliximab every 6–8 weeks in the absence of steroids. In this stable remission, the distribution of lymphocyte and T cell subpopulations in peripheral blood was analyzed, demonstrating normal T cell numbers with a preserved CD4+/CD8+ T cell ratio > 1. CD25hiCD127lo regulatory CD4 T cell frequencies were also normal, naïve CD4 T cells were slightly low, and follicular T helper cells were relatively elevated compared to age- and sex-matched reference values (Table 1). Since the development of CD after aSCT is a very rare observation at our center and sparsely reported in the literature, we prepared genomic DNA from the patient’s blood and skin to search for rare immune gene variants linked to inborn errors of immunity (IEI)—a group of genetically determined immune system diseases often manifesting with gastrointestinal inflammation. Whole exome and Sanger sequencing of the blood-derived DNA detected a rare missense variant (c.A291G; p.I97M; rs35960726; allele frequency based on the gnomAD database: 0.002885) in the HAVCR2 gene, which encodes for the immune-regulatory protein TIM-3 (Fig. 1a). In contrast to TIM-3 insufficiency associated with germline HAVCR2 mutations [19, 20], our Fig. 1 a Genomic DNA derived from skin or peripheral blood- derived PBMC of the index patient was generated, and a PCR prod- uct comprising the c.A291G HAVCR2 variant was amplified. Sanger sequencing was performed, and chromatograms are depicted. b, c PBMCs of the index patient vs. healthy controls were stimulated with PHA/IL2 for 48 h, and TIM-3 vs. CD25 expression on CD4+ vs. CD8+ T cells was measured by flow cytometry. Representative flow cytometry plots are depicted in (b). Results from four independent experiments over the course of 2.5 years with a total of 11 healthy controls are summarized in (c). TIM-3 expression was normalized for each individual experiment to the mean of TIM-3 levels measured in parallel in healthy controls. d HAVCR2 mRNA expression levels were quantified in patient-derived PBMCs by real-time PCR normalized to the mean of HAVCR2 levels measured in healthy controls. e Patient serum was collected over the time course of 6 years (2017–2023), and levels of TIM-3 and Galectin-9 were quantified by ELISA and compared to control sera of healthy controls (control) and randomly assigned patients enrolled into our immune-dysregulation cohort (dis- ease control). c, e Mean and standard deviation (SD) are depicted, and p-values were calculated using an unpaired t-test Journal of Clinical Immunology (2024) 44:63 63 Page 6 of 10 patient did carry the mutation specifically in hematopoietic cells as it was absent in skin-derived DNA (Fig. 1a). Whole exome sequencing data did not reveal additional disease- causing mutations in genes linked to IEI as listed in the most recent report by the International Union of Immunology Societies expert group [1]. We, however, cannot exclude that additional rare variants in IEI genes may have contributed to the clinical phenotype [21]. To measure whether the heterozygous HAVCR2 mutation leads to reduced TIM-3 expression in immune cells, we in vitro stimulated patient-derived T cells with PHA/IL-2 for 48 h and measured TIM-3 expression by flow cytometry. Analysis of TIM-3 expression in stimulated T cells from a total of eleven unrelated healthy volunteers served as a control. Patient-derived T cells upregulated CD25 normally, while TIM-3 expression was approximately 20% of normal in CD4+ T cells (Fig. 1b, c). Reduced TIM-3 expression in the patient was a stable trait as it was measured on four occasions over a time span of more than 2.5 years (Fig. 1c). HAVCR2 mRNA levels in non-stimulated PBMCs of the patient were lower compared to controls (Fig. 1d), arguing for enhanced RNA decay of the mutated HAVCR2 allele. Stably reduced soluble TIM-3 levels [22] (sTIM-3) were measured by ELISA in the serum of the index patient using sera over a time course of 6 years (Fig. 1e). This was contrasted by elevated Galectin-9 levels in the patient’s serum, suggesting a negative feedback loop (Fig.  1e) similar to what has been described for other immune-regulating signaling pathways [23]. As myeloid cells have been demonstrated to be functionally shaped by TIM-3 [24], we additionally flow cytometrically phenotyped peripheral monocytes of the patient without detecting abnormal subset distribution (Fig.  2a). We further assessed patient-derived T cells ex vivo and following in vitro stimulation but did not find differences vs. controls with regards to expression of FOXP3 (Fig. 2b) or the levels of IFN-γ, IL-17A, and IL-2 (Fig. 2d). Notably, CCR6+CCR4+ T cells, which are linked to the Th17 lineage, were higher in the patient than observed in controls (Fig. 2c). The immune histology of patient-derived intestinal biopsies was performed to examine TIM-3 expression in T cells within intestinal tissue. While CD5+ T cells were easily detectable in the patient’s stomach, duodenum, Fig. 2 a Peripheral blood-derived monocytes of the patient vs. con- trols were phenotyped by flow cytometry. b, c The indicated T cell subsets of the patient vs. healthy controls were determined by flow cytometry. d, e PBMCs of the index patient  vs. four controls were stimulated with agonistic anti-CD3 (clone: OKT3) and anti-CD28 (clone: CD28.2) for 4 h. mRNA expression levels of the indicated cytokines were quantified by real-time PCR (d) or the indicated cytokine expression assessed by intra-cellular staining and flow cytometry (e) Journal of Clinical Immunology (2024) 44:63 Page 7 of 10 63 ileum, and colon, TIM-3 positive lymphocytes were almost completely absent, independent of the IBD activ- ity (Fig.  3, Supplemental Fig.  2). In contrast, TIM-3 positive lymphocytes were present in both inflamed and non-inflamed colon from unrelated individuals (Fig. 3). Control stainings revealed the presence of FOXP3 and ROR-γ positive cells predominantly in the inflamed colon of the patient and controls (Supplemental Figs. 3 and 4). Discussion The c.A291G; p.I97M HAVCR2/TIM-3 mutation has been demonstrated to encode a loss of function allele and has, in homozygous but also in heterozygous states, been shown to cause subcutaneous panniculitis-like T cell lymphoma (SPTCL) and autoinflammatory disease [19]. Also, cases of autoinflammation in the absence of SPTCL have been recently linked to HAVCR2 germline mutations [25, 26]. The I97M missense mutation causes TIM-3 misfolding, aggregation in the Golgi apparatus, and lack of surface expression [19]. In addition, our results suggest enhanced RNA decay of the mutated HAVCR2 allele. It has been previously reported that heterozygous HAVCR2 mutations, including the I97M found here, can be associated with TIM-3 insufficiency [19, 20]. In fact, a careful review of the immune-histological and clinical features of patients with heterozygous TIM-3 mutations did not reveal differences from patients with homozygous mutations [20]. The molecular reason for this is currently unknown but is supported by our own data showing TIM-3 expression around 20% of normal in CD4+ T cells associated with heterozygous carriage of the p.I97M missense mutation. Our patient’s HAVCR2 mutation was donor-derived since donor chimerism was 100%. There was no overt immunologic disease reported in the stem cell donor. Potential stem cell donors undergo extensive health check-ups; however, there is currently no standard screening for IEI- or hematologic malignancy- related mutations [27, 28]. The clinical penetrance of disease associated with TIM-3 missense mutations, especially in heterozygous state, has, to our knowledge, not been studied. The clinical penetrance of IEI gene mutations in general is often rather low and is known to be influenced by environmental, genetic, and epigenetic factors [4]. TIM-3 expression is enhanced in ex  vivo analyzed CD4+ T cells of the intestinal mucosa compared to the peripheral blood [29]. TIM-3 down-regulation has been described during human IBD flares [29, 30], and blockade of TIM-3 function exacerbates inflammation in murine colitis models [24, 31]. Vice versa, the TIM-3 ligand Galectin-9 has been recently demonstrated to reduce 2,4,6-trinitrobenzene sulfonic acid (TNBS)- induced colitis in mice [32]. Homozygous carriage of the TIM-3 Thr101Ile missense variant (rs147827860, not the same variant as detected in our patient) has been linked to human IBD [33]. These results are corroborated by recent genome-wide association studies demonstrating the linkage of TIM-3 mutations and CD [34]. Accordingly, insufficient expression of other regulatory immune checkpoint molecules, such as CTLA-4 [35, 36], or inactivation of their regulatory function by checkpoint inhibitors [37] can cause colitis. Thus, the link between TIM-3 deficiency and human IBD appears plausible. Fig. 3 Colon sections of the index patient in active IBD vs. clinical remission (under infliximab therapy) were stained by immune histol- ogy for CD5 (a pan T cell marker) and for TIM-3 expression. Analy- sis of sections from non-inflamed vs. inflamed (IBD) colon tissue from non-related patients served as a control Journal of Clinical Immunology (2024) 44:63 63 Page 8 of 10 Conclusion This is the first description of an acquired, hematopoietic cell-intrinsic, pathogenic HAVCR2 mutation associated with TIM-3 deficiency in blood-derived and intestinal immune cells clinically linked with post-aSCT IBD. Supplementary Information The online version contains supplemen- tary material available at https:// doi. org/ 10. 1007/ s10875- 024- 01667-z. Acknowledgements We thank the patient for his continuing support of this study. We thank the clinical staff for detailed and provident clinical care. Author Contribution MR and PH: conception and supervision of the study and writing of the manuscript. AB and DA: acquisition of most clinical and translational data. TM: performed immune histology and contributed to article writing. BD, SG, JP, and JH: acquisition of data and critical revision of the manuscript reg. allogenic stem cell transplant. DJ: chimerism analysis of sorted immune cell populations. CMB and IH: data acquisition of immune-phenotyping and critical revision of the manuscript. AG, FP, and KP: analysis of next-generation sequencing data. JH, RH, JK, BM, and AJ: data acquisition. IP and CC: provided material and critically read the manuscript. KD, TD, CH, CTB, and JHN: critical revision of the manuscript. MK and KH: quantification of serum TIM-3 and Galectin-9 levels. AN and CH: contributed to study design and critical revision of the manuscript. HY: critical revision of the manuscript and data acquisition. Funding Open access funding provided by University of Basel This work was supported by the Swiss National Science Foundation (grant numbers: PP00P3_181038 and 310030_192652) to Mike Recher. Karin Hartmann is supported by the following grants: Swiss National Science Foundation (grant 310030_207705), Swiss Cancer Research Founda- tion (grant KFS-5979-08-2023), and EU-H2020-MSCA-COFUND EURIdoc programme (No. 101034170). Data Availability The data underlying this article will be shared on reasonable request to the corresponding authors. Declarations Ethics Approval The prospective cohort study of the functional and genetic architecture of patients with primary immune dysregulation (FuGe-PID) has been approved by the ethics commission of North- western Switzerland (EKNZ215-187). Consent to Participate Informed consent was obtained from all indi- vidual participants included in the study. Consent for Publication The authors affirm that human research partici- pants provided informed consent for the publication of the endoscopy and histology images. Competing Interests The authors declare no competing interests. Open Access This article is licensed under a Creative Commons Attri- bution 4.0 International License, which permits use, sharing, adapta- tion, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. 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This work has not been published previously and is not under consideration elsewhere. https://doi.org/10.1007/s10875-023-01547-y https://doi.org/10.2169/internalmedicine.1419-22 https://doi.org/10.1016/j.jtct.2023.10.018 Journal of Clinical Immunology (2024) 44:63 63 Page 10 of 10 Authors and Affiliations Adrian Baldrich1 · Dominic Althaus2 · Thomas Menter3 · Julia R. Hirsiger4 · Julius Köppen1 · Robin Hupfer1 · Darius Juskevicius5 · Martina Konantz6 · Angela Bosch7 · Beatrice Drexler8 · Sabine Gerull9 · Adhideb Ghosh10 · Benedikt J. Meyer1,8 · Annaise Jauch1 · Katia Pini1 · Fabio Poletti1 · Caroline M. Berkemeier11 · Ingmar Heijnen11 · Isabelle Panne2 · Claudia Cavelti‑Weder7,12 · Jan Hendrik Niess2 · Karen Dixon13 · Thomas Daikeler14,20 · Karin Hartmann6,15 · Christoph Hess16,17,20 · Jörg Halter8 · Jakob Passweg8 · Alexander A. Navarini18 · Hiroyuki Yamamoto1,19 · Christoph T. Berger4,20 · Mike Recher1,20  · Petr Hruz2 1 Immunodeficiency Laboratory, Department of Biomedicine, University of Basel, Basel, Switzerland 2 Gastroenterology and Hepatology, University Center for Gastrointestinal and Liver Diseases, Clarunis, Basel, Switzerland 3 Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland 4 Translational Immunology, Department of Biomedicine, University Hospital, Basel, Switzerland 5 Molecular Diagnostics, Laboratory Medicine, University Hospital Basel, Basel, Switzerland 6 Allergy and Immunity Laboratory, Department of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland 7 Translational Diabetes, Department of Biomedicine, University Hospital, Basel, Switzerland 8 Division of Hematology, University Hospital Basel, Basel, Switzerland 9 Department of Oncology and Hematology, Kantonsspital Aarau, Aarau, Switzerland 10 Competence Center for Personalized Medicine, University of Zürich/Eidgenössische Technische Hochschule (ETH), Zurich, Switzerland 11 Division Medical Immunology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland 12 Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), Zurich, Switzerland 13 Cancer Immunology, Department of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland 14 Department of Rheumatology, University Hospital Basel, Basel, Switzerland 15 Division of Allergy, Department of Dermatology, University Hospital Basel and University of Basel, Basel, Switzerland 16 Immunobiology Laboratory, Department of Biomedicine, University Basel Hospital, Basel, Switzerland 17 Department of Medicine, Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge, Cambridge, UK 18 Dermatology, University Hospital Basel, Basel, Switzerland 19 Research Group 2, AIDS Research Center, National Institute of Infectious Diseases, Tokyo, Japan 20 University Center for Immunology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland http://orcid.org/0000-0002-9121-6936 http://orcid.org/0000-0003-2767-0445 Post-transplant Inflammatory Bowel Disease Associated with Donor-Derived TIM-3 Deficiency Abstract Introduction Methods Consent Flow Cytometric Analysis of T Cells and In Vitro Stimulation of Peripheral Blood Mononuclear Cells (PBMC) Flowcytometric Assessment of Monocytes RNA Isolation, cDNA Generation, and Real-Time PCR Analysis Whole Exome Sequencing and Targeted Sanger Sequencing Real-Time PCR Analysis of Inflammatory Cytokine Expression Pathology Studies and Immunohistology Quantification of Serum TIM-3 and Galectin-9 Levels by ELISA Chimerism Analysis in Sorted Lymphocyte and Monocyte Populations Results Discussion Conclusion Acknowledgements References