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PubMed2026

Immunogenetic diversity of two South Asian cohorts: From Pakistan and India.

Having critical roles in immune defense and reproduction, killer cell immunoglobulin-like receptors (KIR) and their human leukocyte antigen (HLA) class I ligands are encoded by the most polymorphic regions in the human genome. South Asia comprises over one quarter of the global population and harbors rich genomic diversity. Limiting our understanding of population-specific variation and disease susceptibility, high-resolution immunogenetic studies of South Asian ancestry individuals are lacking. Here, we characterize KIR and HLA class I diversity in two South Asian cohorts: sampling an urban population from Karachi, Pakistan (n = 79), and a Dravidian-speaking Yadav population from southern India (n = 70). Targeted sequencing identified 151 distinct KIR alleles across 13 genes, including 11 previously uncharacterized allotypes. Over 75% of the genotypes were KIR-Bx. We identified 98 HLA class I alleles and extensive haplotypic diversity, with all major KIR binding motifs represented, and a mean of seven potential inhibitory KIR-HLA interactions per individual (6.6 in Karachi, 7.4 in Yadav). Together, these results demonstrate substantial immunogenetic diversity and population-specific KIR and HLA variation within the two studied cohorts. This study expands knowledge of KIR and HLA diversity and offers a framework for further evolutionary and disease-focused in South Asia.

Humans↗

PubMed2026

Innovative CRISPR/Cas9-Based Strategy for Allele-Specific HLA Peptidome Analysis Using a Pan-HLA Antibody.

Human leukocyte antigen (HLA) immunopeptidomics is restricted by the limited availability of allele-specific antibodies and by potential artifacts introduced by HLA overexpression systems. To address these challenges, we developed a CRISPR/Cas9-based strategy that selectively deletes undesired classical class I alleles while preserving a single endogenous allele, thereby enabling allele-resolved peptidome profiling with a pan-HLA class I antibody. As a proof of concept, we edited JY cells to eliminate HLA-B∗07:02 and HLA-C∗07:02 while retaining HLA-A∗02:01 (ΔBC clones). Peptide-HLA complexes were immunoprecipitated from WT and ΔBC clones using either the pan-HLA class I antibody W6/32 or the A∗02:01-specific antibody PA2.1, followed by nanoLC-MS/MS and computational HLA assignment. Deletion of HLA-B and HLA-C alleles caused an expected ∼55% reduction in total class I surface expression. Despite this, W6/32 immunoprecipitation from ΔBC clones recovered a comparable peptide yield to PA2.1 in WT cells. Binding predictions showed that most peptides identified in ΔBC clones using W6/32 were assigned to HLA-A∗02:01, with near-complete loss of HLA-B∗07:02- and HLA-C∗07:02-derived peptides. Sequence logo analysis confirmed the canonical A∗02:01 motif across conditions. The ΔBC W6/32 immunopeptidome exhibited a high degree of overlap (∼88%) with the WT PA2.1 repertoire, supporting the specificity and fidelity of the approach. These findings establish CRISPR-based editing of HLA alleles as a viable strategy for allele-specific immunopeptidome analysis using pan-HLA antibodies, supporting its potential application beyond this proof-of-concept system, reducing reliance on allele-specific reagents and facilitating the study of underrepresented HLA alleles.

Humans↗

PubMed2025

Systematic mining and quantification reveal the dominant contribution of non-HLA variations to acute graft-versus-host disease.

Human leukocyte antigen (HLA) disparity between donors and recipients is a key determinant triggering intense alloreactivity, leading to a lethal complication, namely, acute graft-versus-host disease (aGVHD), after allogeneic transplantation. Moreover, aGVHD remains a cause of mortality after HLA-matched allogeneic transplantation. Protocols for HLA-haploidentical hematopoietic cell transplantation (haploHCT) have been established successfully and widely applied, further highlighting the urgency of performing panoramic screening of non-HLA variations correlated with aGVHD. On the basis of our time-consecutive large haploHCT cohort (with a homogenous discovery set and an extended confirmatory set), we first delineated the genetic landscape of 1366 samples to quantitatively model aGVHD risk by assessing the contributions of HLA and non-HLA genes together with clinical factors. In addition to identifying multiple loss-of-function (LoF) risk variations in non-HLA coding genes, our data-driven study revealed that non-HLA genetic variations, independent of HLA disparity, contributed the most to the occurrence of aGVHD. This unexpected major effect was verified in an independent cohort that received HLA-identical sibling HCT. Subsequent functional experiments further revealed the roles of a representative non-HLA LoF gene and LoF gene pair in regulating the alloreactivity of primary human T cells. Our findings highlight the importance of non-HLA genetic risk in the new era of transplantation and propose a new direction to explore the immunogenetic mechanism of alloreactivity and to optimize donor selection strategies for allogeneic transplantation.

Humans↗

PubMed2026

FuFiHLA: a tool for full-field HLA typing from long-read data.

MOTIVATION: Allele typing for Human Leukocyte Antigen (HLA) genes has many important clinical applications. Popular short-read typing can only accurately distinguish alleles at the coding sequence level, which potentially limit our understanding of the effect of variants in non-coding region. Long read data has been proved to be useful in typing HLA alleles in full resolution, but only a few tools are publicly available and with significant limitations in practical application. RESULTS: We developed FuFiHLA, a lightweight open-source software, to type HLA alleles. Currently it supports typing alleles of six HLA genes (HLA-A, HLA-B, HLA-C, HLA-DRB1, HLA-DQA1, and HLA-DQB1) from long reads. Evaluation using 233 PacBio HiFi WGS samples from HPRC shows that FuFiHLA achieves 99.6% accuracy in the full field allele typing and QV as 51.8 for consensus allele sequence construction. Additional testing on four Nanopore R10 reads demonstrates slightly reduced accuracy in the fourth field. AVAILABILITY: FuFiHLA is available at https://github.com/jingqing-hu/FuFiHLA under MIT License.

Humans↗

PubMed2025

Evaluating the Antigen and Eplet Accuracy of DQA1 Imputations With the HaploSFHI Two-Field HLA Typing Inference Tool.

Donor/recipient mismatched HLA antigens can lead to the production of Donor-Specific Antibodies by the recipient, which are deleterious to organ transplants. The HLA-DQ locus is the most frequent target, with both the DQ beta and alpha chains involved. For deceased donors in particular, while HLA-DQB1 has been typed in emergencies for a long time, HLA-DQA1 has only recently been included. No imputation algorithmic tool was available to impute HLA-DQA1 until the development of HaploSFHI, trained on 61,393 two-field typings by NGS methods. We evaluated the accuracy of two-field HLA-DQA1 imputation from serological and two-field level HLA-A, B, DRB1, and DQB1 typings. We report a highly accurate two-field HLA-DQA1 prediction using a French test cohort of 7696 individuals, respectively reaching 92.30% and 96.45% accuracy. The average 'False Positive eplet load' stood at 0.19 and 0.07, respectively, and the average 'False Negative eplet load' at 0.18 and 0.08, respectively. A similar performance was obtained on three independent test cohorts of European ancestry (from the USA, the UK, and Portugal). Interestingly, performance was only slightly inferior on five independent test cohorts of other ethnicities (from Hong Kong and the USA) whereas it was significantly lower for two-field DRB1 imputation from its serological level. These results suggest that DQA1 can reliably be imputed even when information is totally missing, with low error risk at both antigen and eplet levels, even if the reference population is not matched. Similar additional initiatives would be welcome to confirm these findings.

Humans↗

PubMed2026

The combined impact of HLA and non-HLA mismatch between donors and recipients on kidney transplant survival: a genomic analysis in a prospective cohort.

BACKGROUND: Kidney transplantation outcomes are strongly influenced by immunological compatibility between donor and recipient. While genetic mismatches in the human leukocyte antigen (HLA) region have long been recognised as key determinants of graft survival, increasing evidence, including our own previous work, suggests that non-HLA alloimmunity also plays a critical role. METHODS: We sequenced exomes of deceased kidney donor and recipient pairs in the prospective kidney transplant cohort at the Vienna General Hospital, recruited between January 1, 2012, and June 15, 2023. Out of 1209 pairs, 1187 passed quality control for analysis. Non-HLA mismatch was computed by considering non-synonymous single nucleotide polymorphisms specifically encoding trans-cell membrane or secreted proteins in the kidney (nsSNP-tcmsk). Using adjusted Cox proportional hazards models, we replicated results from our earlier work in recipients with primary graft function after 90 days, and extended the analysis to the combination of nsSNP-tcmsk with eplet mismatch to assess their associations with graft loss in the full cohort. FINDINGS: Of 20,421 human proteins, 2371 were considered for the nsSNP-tcmsk score. In our replication analysis we estimated for nsSNP-tcmsk a hazard ratio (HR) of 1.33 (95% CI 1.02-1.74) for graft loss per increase of one interquartile range. The nsSNP-tcmsk and eplet mismatch were uncorrelated (Spearman correlation coefficient 0.02, p = 0.47). A composite score of nsSNP-tcmsk and eplet mismatch was associated with graft loss with a HR of 1.76 (95% CI 1.20-2.57) corresponding to an absolute difference in 7-year restricted mean survival time between the first and fourth quartiles of 0.52 years (95% CI 0.16-0.87 years). INTERPRETATION: The impact of non-HLA donor-recipient mismatch on transplant loss is of the same magnitude as established mismatch scores in the HLA region. Together, these scores may be further validated as guiding markers for the required strength of maintenance immunosuppression. FUNDING: Vienna Science and Technology Fund, NIH/NIAID.

Humans↗

PubMed2025

Human Genome REWRITE for Off-the-Shelf Stem Cells Reveals an "Epigenetic Ghost".

Human leukocyte antigen (HLA) polymorphism hinders off-the-shelf cell therapies. We developed REWRITE, a modular platform for iterative, scar-minimized genome writing of synthetic constructs >100 kb in human pluripotent stem cells (hPSCs). Using REWRITE, we deleted 105-209 kb of the HLA locus and installed synthetic 24 kb or 100 kb HLA haplotypes, and a 62 kb antigen-processing locus. This uncovered a persistent, heritable "epigenetic ghost" - an active state lingering despite genetic removal - whose resolution to a silenced default state is driven by native intergenic DNA. These loci restored inducible expression in key lineages, sparing cells from NK-mediated killing and establishing HLA-matched T-cell tolerance, enabling off-the-shelf cell therapies. REWRITE facilitates extensible programming of multigenic functions in allogeneic human cells - from immune design to genome architecture discovery.

Journal Article↗

PubMed2026

HLA-DQB1*06:02 and a critical amino acid variant in protection against occult hepatitis B virus infection.

The human leukocyte antigen (HLA) system plays a critical role in determining the outcomes of hepatitis B virus (HBV) infection, yet the genetic mechanisms underlying occult HBV infection (OBI), a form marked by detectable HBV DNA in the absence of hepatitis B surface antigen, remain poorly defined. Here, we performed high-resolution HLA genotyping and amino acid-based association analysis in a Chinese population comprising 239 OBI cases and 545 healthy controls. We identified the HLA class II allele DQB1*06:02 as a protective signal against OBI, with conditional analysis confirming its independent effect. This allele is carried on the conserved haplotype DRB1*15:01~DQA1*02:01~DQB1*06:02, which was significantly underrepresented in OBI cases. Conversely, the DRB1*09:01~DQA1*03:02~DQB1*03:03 haplotype was associated with increased OBI risk. Analysis of the HLA-DQB1 amino acid residues revealed that position 119, located in an α-helix of the peptide-binding groove, drives a substantial portion of the observed association. The phenylalanine variant at this site remained strongly protective after multiple-testing correction and is encoded by DQB1*06:02. Our study thus delineates both allele and amino acid level HLA determinants of OBI susceptibility, highlighting a key structural residue that may influence antigen presentation and immune clearance of HBV. These findings provide a refined genetic framework for understanding host and virus interactions in occult HBV persistence.

Humans↗

PubMed2026

Trimethoprim/sulfamethoxazole-triggered drug-induced hypersensitivity syndrome in an HLA B*13:01-positive kidney transplant recipient: a case report with implications for HLA-severe cutaneous adverse reaction associations in transplant care.

Drug-induced hypersensitivity syndrome/drug reaction with eosinophilia and systemic symptoms (DIHS/DRESS) is a severe cutaneous adverse reaction (SCAR) with a reported mortality rate of approximately 2-10%. DIHS/DRESS typically develops 2-8 weeks after exposure to an offending drug. An important focus of contemporary SCAR research is the growing evidence that specific human leukocyte antigen (HLA) alleles confer a markedly increased risk of drug-specific hypersensitivity reactions. We report a case of a kidney transplant recipient who developed DIHS/DRESS after prolonged trimethoprim/sulfamethoxazole (TMP/SMX) prophylaxis and carried the HLA-B13:01 allele. HLA-B13:01 is a strong genetic risk factor for TMP/SMX-induced DIHS/DRESS, particularly in Southeast Asian populations. Herein, we highlight the potential clinical relevance of pre-transplant HLA typing in predicting SCAR risk in transplant recipients. TMP/SMX-associated DIHS/DRESS may be under-recognized in transplant settings, where awareness of HLA-associated risk remains limited despite robust evidence from non-transplant populations. Transplant clinicians should be aware that DIHS/DRESS can occur outside the typical latency period, especially during immunosuppressant tapering, highlighting the need to integrate pharmacogenomic risk assessments into transplant care.

Humans↗

PubMed2026

Cancer Immune Responsiveness and MHC Class I Antigen Presentation: Mechanisms of Immune Escape and Immunotherapy Resistance in Gastrointestinal Cancers.

The Antigen Processing and Presentation Machinery (APM) is essential for immune surveillance by enabling the presentation of antigenic peptides to T lymphocytes and facilitating the elimination of infected or transformed cells. In cancer, the integrity of this process influences cancer immune responsiveness (CIR), defined as a tumour's capacity to be recognised by the immune system and respond to immunotherapy. Tumours with intact antigen presentation pathways are more likely to generate effective antitumour responses, whereas APM defects promote immune escape and therapeutic resistance. Cancer cells frequently evade immune detection through altered antigen processing or reduced expression of major histocompatibility complex (MHC) class I molecules, limiting tumour antigen presentation to cytotoxic T lymphocytes. These alterations are increasingly recognised as determinants of response to immune checkpoint inhibitors and potential predictive biomarkers. APM defects may be reversible or irreversible. Interferon-mediated signalling can restore MHC class I expression and T-cell cytotoxicity in some tumours, whereas permanent genomic alterations affecting human leukocyte antigen (HLA) class I genes, β2-microglobulin (β2-m), or interferon-γ (IFN-γ) pathway components can severely impair antigen presentation. Emerging evidence highlights four mechanistic levels of APM perturbation: peptide generation, peptide loading, MHC class I integrity, and epigenetic regulation. Each contributes to distinct patterns of immune evasion. This review examines how MHC class I alterations influence CIR and contribute to immune evasion and immunotherapy resistance in gastrointestinal malignancies, while discussing therapeutic strategies to restore or bypass APM deficiencies.

Humans↗

PubMed2026

Beyond Canonical Neoantigens: Emerging Technologies for Identification of Noncanonical Antigens and Implications for Personalized Cancer Vaccines.

Over the past decade, advances in sequencing technologies and computational pipelines enabled the development of personalized cancer vaccines (PCVs). Current PCV strategies primarily target cancer neoantigens generated by non-synonymous DNA mutations, which can result in altered amino acid sequences capable of eliciting tumor-specific immune responses. More recently, a distinct class of tumor-specific antigens (TSA), termed noncanonical or cryptic antigens, has emerged as an additional source of immunogenic targets. Unlike canonical neoantigens, noncanonical antigens typically cannot be identified by tumor/normal whole-exome sequencing, as they do not arise from classical DNA mutations. Instead, they are often associated with less well recognized and/or aberrant processes in the pathways from DNA to human leukocyte antigen (HLA)-presented peptides. Examples include transposable elements, circular RNA, translation of alternative open reading frames and/or long non-coding RNA, among others. Emerging evidence suggests that noncanonical antigens represent a substantial portion of the tumor-specific immunopeptidome and, similar to canonical neoantigens, are absent during thymic selection and can evade central tolerance and elicit T cell responses. Technological advances have increasingly facilitated the identification of noncanonical antigens. Long-read RNA sequencing reveals noncanonical transcripts by improving transcriptome assembly, while ribosome profiling provides genome-wide maps of actively translated regions, facilitating the discovery of peptides from aberrant translation events. Specialized molecular approaches enable enrichment and sequencing of circular RNAs, and immunopeptidomics using mass spectrometry allows for direct characterization of HLA-presented peptides. Together, these technological advances have led to an increasing interest in prioritizing and targeting noncanonical antigens in the next generation of PCVs. This review provides an overview of the diverse origins of TSAs beyond classical neoantigens and discusses emerging approaches that may enable the integration of these antigens in future clinical trials.

circular RNA↗

PubMed2026

Therapy induced senescence promotes immunogenicity in acute myeloid Leukemia through reduced EZH2 activity.

Chemotherapy resistance and disease relapse are major determinants of treatment failure in acute myeloid leukemia (AML). Therapy-induced senescence (TIS) is one outcome of chemotherapy, but its immunological consequences in AML remain unclear. Here we show that ex vivo chemotherapy induces senescence in a subset of therapy-naïve AML samples. TIS is marked by elevated interferon signaling, upregulation of human leukocyte antigen (HLA) class I and II molecules, and increased presentation of leukemia- and senescence-associated peptides, conferring AML cells antigen-presenting cell-like features. These changes enhance autologous CD4+ and CD8+ T cell responses against AML, both ex vivo and in patient-derived xenograft models. TIS also restores AML sensitivity to immune checkpoint blockade therapy. Mechanistically, we identify reduced Polycomb Repressive Complex 2 (PRC2) activity as central to TIS induction and its immunogenicity. PRC2 inhibition reactivates senescence-related genes and HLA expression in non-senescent AML cells, enabling T cell activation. These findings uncover a senescence-driven immune mechanism with potential to improve therapy outcomes in AML.

Humans↗

PubMed2026

HLA class I escape drives the evolution of SARS-CoV-2 in human populations.

The role of escape from the cytotoxic T cell (CTL) response in Severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) evolution remains controversial. Here, we study the origin and spread of SARS-CoV-2 variants whose mutations reduce presentation by the human leukocyte antigen (HLA) class I alleles common in human populations. We find that 35% of mutations that are characteristic of the variants of concern, and 39% of all subsequent viral mutations, facilitate escape of viral epitopes from presentation. Mutations allowing escape from more common HLA alleles reach higher frequencies, particularly in those countries where these HLA alleles are more frequent, indicating that escape is selected by the local genetic composition of the human host population. We also show that viral mutations that accumulated in general-population transmission chains matched population HLA class I allele frequencies as well as, or better than, mutations acquired during persistent infections, suggesting that selection in favor of escape mutations is not limited to immunocompromised individuals. Together, these data reveal CTL escape as a facet of selection, a driver of evolution, and an epidemiological concern for SARS-CoV-2.

Humans↗

PubMed2026

Immunodominant Tuberculosis Antigens Recognized by Human CD4+ and CD8+ T Cells.

Tuberculosis (TB), caused by infection with Mycobacterium tuberculosis (MTB), represents an important cause of morbidity and mortality worldwide for which an improved vaccine and immunodiagnostics are urgently needed. CD4+ and CD8+ T cells play an important role in host defense to TB. Definition of the immunodominant antigens recognized by these T cells is critical for improved understanding of the immunobiology of TB and for development of vaccines and diagnostics. Herein, we review antigens and epitopes recognized by classically human leukocyte antigen (HLA) class I- and class II-restricted CD4+ and CD8+ T cells in humans infected with MTB, as defined using either targeted or genome-wide approaches. We address the extent to which these antigens have been defined as immunodominant, protective, and/or specific to disease stages in humans and, with particular relevance to CD8+ T-cell recognition, whether these antigens are displayed by MTB-infected cells.

Journal Article↗

PubMed2026

Novel HLA class I and II insights into the pathogenesis of systemic sclerosis-associated interstitial lung disease.

OBJECTIVES: Systemic sclerosis-associated interstitial lung disease (SSc-ILD) is the leading cause of mortality in systemic sclerosis (SSc), yet its genetic architecture remains incompletely understood. Therefore, given the key role of the major histocompatibility complex (MHC) in SSc, we aimed to perform a comprehensive MHC-wide association study in the largest SSc-ILD cohort to date. METHODS: We analysed 2412 patients with SSc-ILD⁺, 3550 patients with SSc-ILD⁻, and 15,076 controls of European ancestry from 10 international cohorts. After quality control, the MHC region was imputed, and inverse variance weighted meta-analysis was performed. Subsequently, conditional stepwise analyses, adjustment for antitopoisomerase autoantibody (ATA) status, and functional annotation of significant single-nucleotide polymorphisms were performed. Finally, we constructed a composite score combining genetic, clinical, and demographic variables to predict SSc-ILD. RESULTS: After conditional analysis, we detected 12 significant associations within class I and class II human leukocyte antigen (HLA) genes. ATA adjustment reduced the significance of class II HLA variants, whereas class I HLA variants remained unaffected. Finally, the built composite score had an area under the curve of 0.754, significantly outperforming the models including any of the variables alone. CONCLUSIONS: In this study, we identify genetic mechanisms underlying SSc-ILD that support the potential implication of CD8+ T cells and ATAs in its pathogenesis. Moreover, we also demonstrate the enhanced efficacy of integrating genetic information into predictive models to detect patients at high risk of SSc-ILD. These findings provide new insights into disease pathogenesis and suggest potential biomarkers and therapeutic targets for improved patient management.

Humans↗

PubMed2026

A modular γδ TCR-T platform combining KRAS pMHC targeting with re-dosable mRNA engager redirection.

Solid tumors often evade TCR-engineered αβ T cells when antigen expression varies or when the restricting Human Leukocyte Antigen (HLA) allele is lost. γδ T cells, in contrast, detect cellular dysregulation through non-peptide/Major Histocompatibility Complex (MHC) cues, including phosphoantigens and stress ligands, and can be developed as allogeneic therapies. Although intratumoral γδ T cell signatures are associated with improved outcome across cancers, γδ recognition itself is broad and still selected within the thymus just as αβ T cell receptors (TCRs) are. It does not, however, anchor specificity to a defined driver-mutation pMHC epitope. We therefore asked whether a high-affinity, co-receptor-independent αβ TCR could graft oncogenic-driver specificity onto γδ T cells while leaving the endogenous γδ TCR intact. We knocked the KRASG12V/HLA-A*11:01 TCR A11v into primary human γδ T cells. Engineered cells co-expressed the transgenic αβ TCR and the endogenous γδ TCR and lysed KRASG12V/HLA-A*11:01+ tumor cells in vitro and in vivo. To cover potential resistance through loss of HLA-A*11:01, we delivered an mRNA lipid nanoparticle (LNP) encoding a secreted mesothelin×CD3 (M5) bispecific T cell engager (TCE). LNP-M5 produced circulating TCE that redirected γδ A11v T cells and polyclonal bystander T cells to kill mesothelin+ targets, accompanied by development of higher γδ A11v T cell counts in vivo. In humanized mice bearing mixed HLA-A*11:01+ and HLA-A*11:01 - KRASG12V tumors, γδ A11v T cells produced transient control, whereas adding LNP-M5 yielded complete responses and prolonged survival. Thus, this two-part therapy couples invariant driver targeting to tunable redirection and addresses loss of the restricting HLA allele, a central escape route for TCR-based therapy. It provides an off-the-shelf reagent to enable KRAS-anchored treatment with the ability to redeliver the reagent.

Humans↗

PubMed2025

Genetic Landscape of Opsoclonus-Myoclonus-Ataxia Syndrome in Children.

BACKGROUND: Opsoclonus-myoclonus-ataxia syndrome (OMAS) is a rare neurological disorder, with involuntary rapid saccadic conjugate eye movements as one of characteristics, primarily affecting the cerebellum. While the exact pathogenesis remains unclear, genetic and autoimmune factors have been suggested to contribute to its development. METHODS: We enrolled patients diagnosed with OMAS before the age of 18 years at a pediatric neuroimmunology clinic in Boston, United States, using the 2004 Genoa Criteria. Whole genome sequencing was conducted for the patients and their biological parents in all cases, with one case including an unaffected twin sibling. RESULTS: De novo germline variants (DNVs) in probands were identified and validated and analyses of structural variants, recessive variants in neuroimmune-associated genes, and high-resolution human leukocyte antigen (HLA) typing were performed. Our study included 42 patients, 23 of whom had neuroblastoma. We found 12 confirmed DNVs in protein-coding regions in nine patients (29.0% of 31 from 30 trios and 1 quartet). Ten patients (23.8% of 42) had rare homozygous or compound heterozygous variants known to alter protein function, affecting 11 genes. Notably, the major histocompatibility complex, class II, DR beta 1 (HLA-DRB1) ∗01 allele was observed in 27 out of 84 (32.1%) alleles in the patients, significantly higher than that in the general population (chi-square test, P < 0.0001). In one case, a potential genetic modifier of OMAS with severe cerebellar atrophy was identified, associated with a protein-truncating DNV in the CACNA2D2 gene. CONCLUSIONS: This first genome sequencing study reveals potential genetic contributors to OMAS, implicating polygenic predisposition-with HLA-DRB1∗01 as a possible factor-combined with nongenetic risk factors like neuroblastoma.

Humans↗

PubMed2026

Molecular biomarker profiling in noninfectious uveitis: a chronological review of discovery.

PURPOSE OR REVIEW: Noninfectious uveitis (NIU) encompasses a heterogeneous group of immune-mediated intraocular inflammatory diseases whose complexity has driven systematic molecular biomarker discovery. This review presents NIU molecular biomarkers organized by biological category; autoantigens, human leukocyte antigens (HLA) and genetic markers, cellular immune subsets, cytokines, chemokines, and multiomics platforms including proteomics, microbiome metagenomics, metabolomics, and single-cell transcriptomics with each category presented in strict chronological order of landmark discovery. RECENT FINDINGS: We present a review organized along two nested timelines. Categories are presented in the order they historically emerged in the field, and within each category, landmark discoveries appear in chronological sequence. This allows the reader to trace how each biomarker category evolved: from foundational autoantigen identification in experimental uveitis models, through the genomic revolution of HLA association studies, into cellular immunophenotyping, cytokine profiling of aqueous humor, chemokine mapping of intraocular trafficking, and finally the emerging omics platforms that may potentially anchor precision medicine in NIU. Each biomarker is paired in line with its linked targeted therapeutic. SUMMARY: Biomarker research has transformed the understanding of NIU from a clinically defined syndrome into a group of molecularly distinct immune disorders. Advances spanning autoantigens, genetics, immune-cell profiling, cytokines, chemokines, and multiomics have revealed novel pathogenic mechanisms and therapeutic targets. Integration of these biomarkers with targeted therapies may accelerate the transition toward precision medicine in uveitis care.

cytokines↗