Biomedical subjects

Lin Wang

Publications and source records attributed to Lin Wang.

16 recordsLinked to original sources

PubMed2026

[Genetic and phenotypic analysis of three children with Neurodevelopmental disorders due to variants of DEAF1 gene].

OBJECTIVE: To explore the genetic characteristics and clinical phenotypes of three children with novel DEAF1 gene variants. METHODS: Three children who were referred to Capital Children's Medical Center Affiliated to Capital Medical University between January 2018 and December 2025 were selected as study subjects and underwent whole exome sequencing (WES). Candidate variants were verified by Sanger sequencing, and their pathogenicity was evaluated based on the guidelines from American College of Medical Genetics and Genomics (ACMG). A systematic search of databases including PubMed and CNKI was conducted to compile previously reported cases of DEAF1 variants for clinical phenotype comparison. For the non-canonical splice site variant c.870+5G>C located in the intronic region, wild-type and mutant minigene reporter vectors were constructed and transfected into HeLa and 293T cells, respectively, and the splicing patterns were analyzed by RT-PCR and Sanger sequencing. This study was approved by the Medical Ethics Committee of Capital Institute of Pediatrics (Ethics No.: SHERLL 2020001). RESULTS: All three children were found to have carried de novo heterozygous variants of the DEAF1 gene, including two missense variants (c.764G>A, c.641T>C) in the important SAND domain and a splice site variant (c.870+5G>C) in a non-canonical splicing region. The c.764G>A and c.870+5G>C variants were unreported previously. All children had presented with intellectual developmental delay, and two were accompanied by autism spectrum disorder, and two had epilepsy and sleep disorders. In vitro minigene splicing assay showed that the c.870+5G>C variant can lead to abnormal splicing. CONCLUSIONS: This study reported three children with novel DEAF1 variants, two of which have not been previously described, thereby enriched the mutational spectrum of the DEAF1 gene. In vitro functional assay combined with the clinical manifestations of the patients confirmed the pathogenicity of the non-canonical splice site variant in the intronic region.

Humans↗

PubMed2026

ADCY2 promoter hypomethylation in adolescents with borderline personality disorder: An RRBS study with targeted BSP replication.

BACKGROUND: Borderline Personality Disorder (BPD) is characterized by emotional dysregulation, impulsivity, and interpersonal instability. Although genetic and environmental contributions to BPD have been investigated, epigenetic correlates in adolescents remain poorly understood. The cyclic adenosine monophosphate (cAMP) signaling pathway is implicated in stress responsivity and emotion regulation, but its epigenetic variation in adolescent BPD remains understudied. METHODS: DNA methylation profiling was performed using Reduced Representation Bisulfite Sequencing (RRBS) in buccal epithelial DNA from adolescents with BPD (n = 15) and healthy controls (HC; n = 15). Differentially methylated regions (DMRs) were identified using metilene, a computational tool for detecting DMRs from bisulfite sequencing data, and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Associations between methylation signals and borderline personality features were examined. Adenylate cyclase 2 (ADCY2) promoter methylation was examined using targeted bisulfite sequencing PCR (BSP) in an independent cohort (BPD n = 5; HC n = 5). RESULTS: RRBS identified 7641 DMRs between BPD and HC, with enrichment in pathways related to neuronal signaling and synaptic organization. A hypomethylated DMR was detected in the ADCY2 promoter, a gene implicated in cAMP signaling. Lower ADCY2 promoter methylation was associated with greater clinical severity, including emotional dysregulation, borderline traits, anxiety symptoms, and self-injury behaviors (r=-0.71 to -0.83; all p < 0.0001). Hypomethylation of the ADCY2 promoter was replicated in the independent cohort. CONCLUSIONS: This exploratory two-stage epigenetic study suggests that ADCY2 promoter hypomethylation in peripheral buccal epithelial DNA is associated with core symptom dimensions of adolescent BPD. These findings support a role for cAMP-related epigenetic variation in BPD and warrant replication in longitudinal studies.

ADCY2↗

PubMed2026

Single-nucleus profiling of postmortem diffuse midline gliomas identifies mitochondrial biogenesis as a resistance mechanism to imipridone therapy.

BACKGROUND: Imipridone ONC201 is the first FDA-approved therapy for H3K27-altered diffuse midline glioma; however, clinical responses remain limited. Defining tumor-intrinsic determinants and microenvironmental, extrinsic factors that shape sensitivity or resistance to imipridones will identify actionable therapeutic opportunities and inform improved clinical strategies. METHODS: To identify mechanisms of imipridone resistance, we obtained postmortem brain tissue from DMG patients who had received imipridones and/or standard care. Single-nucleus RNA and open-chromatin sequencing were performed on N = 22 cases. Immunofluorescence-based myeloid phenotyping was performed on N = 46 cases. Mitochondrial copy-number analysis was performed on N = 19 cases. Validation of imipridone sensitivity, its effect on mitochondrial density, and its synergy with inhibition of mitochondrial biogenesis were assessed in DMG primary cells. RESULTS: We established a single-cell RNA/open-chromatin atlas from postmortem DMG cases and found imipridone treatment resulting in regressed mesenchymal transition, reduced myeloid-derived suppressive cells, and reversed aberrant H3K27-altered enhancer activity. Resistant tumors showed increased mitochondrial density, turnover, and membrane potential. Mitochondrial biogenesis and PPARGC1A emerged as resistance biomarkers and actionable targets. CONCLUSIONS: These studies implicate mitochondrial biogenesis as a biomarker of imipridone resistance and a focus for the development of combinatorial strategies to provide effective therapeutic options for a challenging pediatric brain tumor.

Humans↗

PubMed2026

ClearDepthIAS enables automated high-throughput quantification of roots in soil-grown taproot crops.

Understanding root system architecture is critical for improving crop productivity and resilience, yet phenotyping root traits such as root growth angle and rooting depth remains technically challenging, especially at high throughput. Here, we present ClearDepthIAS, a high-throughput imaging and analysis platform that enables nondestructive, automated quantification of root architecture traits in taproot system crops. By capturing and stitching 360° images of roots growing along the transparent walls of pots and applying deep learning-based segmentation (ClearDepth-WRT), we measured wall root shallowness (WRS)-a proxy for root growth angle-with high precision. We demonstrated for the tap root systems of soybean and canola that the system accurately detects root tips, quantifies their vertical distribution, and extracts biologically meaningful traits such as root area, distribution indices, and growth angles. Validation experiments in canola and soybean demonstrated that WRS can correlate with root crown architecture in mature plants, both in greenhouse and field settings. Furthermore, WRS and root distribution indices derived from ClearDepthIAS are predictors of early root architecture and can be correlated with root biomass distribution across soil depths under field conditions; however, environmental interactions may influence these relationships and weaken or even negate such correlations, as observed when comparing field to field variation in root system architecture. Our system enables efficient phenotyping of genetically diverse populations, with medium to high trait heritability, supporting its utility for genome-wide association studies and breeding. ClearDepthIAS accelerates the development of root ideotypes for improved resource acquisition and carbon sequestration, offering a scalable tool for supporting climate-resilient agriculture.

Plant Roots↗

PubMed2026

Induction Paclitaxel-Cisplatin-Capecitabine for Nasopharyngeal Carcinoma.

BACKGROUND: We previously reported higher failure-free survival (FFS) with induction paclitaxel, cisplatin, and capecitabine (TPC) compared with cisplatin and fluorouracil (PF) in high-risk locoregionally advanced nasopharyngeal carcinoma (LA-NPC). We now report 5-year FFS, with prespecified secondary outcomes. METHODS: In this multicenter, randomized trial, patients with high-risk LA-NPC (T4N0-2M0 or TanyN3M0) received two 21-day cycles of induction chemotherapy with TPC or PF, followed by concurrent chemoradiotherapy. The primary endpoint was FFS; secondary endpoints included distant metastasis-free, locoregional relapse-free, and overall survival (OS), tumor response, and safety. RESULTS: Among 238 patients (TPC, n=118; PF, n=120), with median follow-up of 89.1 months, 5-year FFS was 77.6% in the TPC group and 62.9% in the PF group (hazard ratio [HR], 0.52; 95% confidence interval [CI], 0.34-0.82). At 5 years, distant metastasis-free survival was 87.8% in the TPC group and 78.8% in the PF group (HR, 0.51; 95% CI, 0.28-0.95); locoregional relapse-free survival was 92.0% and 82.1%, respectively (HR, 0.43; 95% CI, 0.21-0.88); and OS was 89.6% and 82.2%, respectively (HR, 0.51; 95% CI, 0.27-0.95). Among patients with pretreatment Epstein-Barr virus (EBV) DNA <3000 copies/ml, 5-year OS was 92.3% in the TPC group and 84.4% in the PF group. Among those with higher EBV DNA levels, rates were 84.2% in TPC group and 81.1% in PF group. Grade 3 or 4 adverse events occurred in 68 patients (57.6%) receiving TPC and 79 patients (65.8%) receiving PF. Treatment adherence was similar in the two groups. CONCLUSIONS: Among patients with high-risk LA-NPC, TPC induction chemotherapy was associated with higher 5-year FFS than PF. (Funded by National Natural Science Foundation of China and State Key Laboratory of Respiratory Disease; ClinicalTrials.gov number, NCT02940925.).

Humans↗

PubMed2026

Development and evaluation of a multiplex PCR-based dual-platform targeted sequencing framework for precise differentiation of lumpy skin disease virus.

BACKGROUND: Lumpy skin disease virus (LSDV) shares over 96% genomic identity with goatpox and sheeppox viruses, presenting severe diagnostic challenges due to cross-reactivity. METHODS: To address this bottleneck, we established a targeted sequencing framework integrating multiplex PCR with short-read and long-read platforms. By sequentially screening target pathogens, identifying low-homology genes, and designing short and gradient long-fragment primer pools, we evaluated these dual-platform panels using highly homologous poxvirus samples. RESULTS: The short-read panel stably detected target viruses at inputs as low as 5.26 ×101 copies/μL. Under strict alignment criteria, LSDV mapping rates reached 42.91%, suppressing non-target signals to 3.05%. The Nanopore-Targeted Sequencing (NTS) long-amplicon strategy successfully eliminated homologous interference. By applying length-dependent diagnostic thresholds (≥ 100 reads for short amplicons; ≥ 50 reads for long amplicons), precise species-level identification was achieved, maintaining near-zero cross-reads (0-5) in ultra-long regions. Crucially, the field-deployable NTS workflow enabled complete detection in approximately 4 h. CONCLUSION: This complementary strategy seamlessly meets both laboratory demands for high-sensitivity enrichment and frontline requirements for rapid typing, providing a reliable tool for LSDV surveillance, mutation tracking, and outbreak control.

Capripoxvirus differentiation↗

PubMed2026

Identification of a novel and a recurrent CDC45 variant in a Chinese family with Meier-Gorlin syndrome 7 and a literature review.

INTRODUCTION: Meier-Gorlin syndrome 7 (MGORS7) is a rare autosomal recessive disorder characterized by primordial dwarfism, craniosynostosis, and patellar aplasia, caused by pathogenic variants of CDC45. Here, we report a Chinese patient presenting with classic hallmarks of MGORS7 alongside atypical clinical features, including hearing and visual impairments. METHODS: Clinical and radiological data were collected. Whole-genome sequencing and Sanger sequencing were performed to identify and validate the causative variants. Their functional effects were investigated using an exon-trapping assay, and a literature review of previously reported MGORS7 cases was conducted. RESULTS: Genetic analysis identified two compound heterozygous CDC45 variants: c.1416C>T (p.H472=) and c.1559+2T>A, which are a recurrent variant in the East Asian population and a novel variant, respectively. Our exon-trapping assay indicated that c.1559+2T>A induced aberrant splicing, generating transcripts predicted to undergo nonsense-mediated mRNA decay. Additionally, growth hormone therapy was initiated in our patient, with a noted improvement in growth parameters in the initial assessment and without immediate complications. The literature review identified a total of 32 CDC45 variants in 29 patients with MGORS7, who showed high heterogeneity in clinical phenotypes. DISCUSSION: Our study further expanded the mutational spectrum of CDC45 and provided a preliminary clinical observation suggesting that growth hormone therapy may be beneficial for growth retardation in patients with MGORS7.

CDC45↗

PubMed2026

Decoding mechanoregulation in immunological synapses using biomimetic artificial cells.

Mechanical force-driven signaling has emerged as a key regulator of cell-cell interactions (CCIs), which can enhance immune cell function. However, current biochemical approaches for studying CCIs offer minimal direct control over cellular bulk phenotypes, while synthetic biomaterial systems fail to mimic the dynamic complexity of cells. Here we introduce kpiCells, a biomaterial-based platform that uses a biomimetic membrane-endoplasmic architecture to enable finely tuned phenocopying of cellular states via modular mechanical, chemical and topographical inputs. We demonstrate that kpiCells can engage in physiological CCIs and reproduce critical subcellular features. In T cell systems, kpiCells enable integrated interrogation of afferent mechanosensing pathways and efferent force-exertion pathways, and support measurement of piconewton-scale forces at individual T cell antigen receptors as well as single cell-cell force fingerprints that define activation thresholds. This work establishes kpiCells as a bionic model that enables synthetic material design with the level of functional complexity approaching living cell systems.

Artificial Cells↗

PubMed2026

CRISPR-Cas regulates expression of embedded anti-phage defence systems.

Bacteria utilize diverse defence systems to protect against harmful foreign DNA such as bacteriophages1,2, but how these systems coordinate with each other remains poorly understood. Here we uncover CRISIS (CRISPR-supervised immune system), a widespread regulatory paradigm whereby type I CRISPR-Cas loci embed and transcriptionally modulate diverse innate defences. Small non-canonical CRISPR RNA (crRNA)-like RNAs guide the I-C CRISPR-associated complex for antiviral defence (Cascade) effector complex to inhibit promoters of diverse immune cassettes-including composite multi-system clusters-enabling their basal expression for antiviral activity while mitigating fitness costs associated with hyperactivation, such as host growth impairment or exclusion of beneficial plasmids. When CRISPR-Cas is compromised by mutation or anti-CRISPR proteins, there is a burst in transcription of these embedded defence systems, leading to higher-level innate immunity at the expense of host fitness. Together, adaptive CRISPR-Cas systems orchestrate diverse innate immune systems into a layered defence network, comprising a prokaryotic 'immunity guard' strategy.

Bacteriophages↗

PubMed2026

A group of TCP transcription factors is a missing link in strigolactone signaling.

Strigolactones (SLs) are plant-specialized butenolide signaling molecules, recognized as endogenous plant hormones, that control plant development and environmental adaptation. In Arabidopsis (Arabidopsis thaliana), the repressor D53-like SMXLs regulate the expression of a vast number of genes in an EAR-motif-dependent manner to mediate SL signaling. However, it remains unclear how the SMXLs are recruited to specific genes and implement unique functions in vivo. Based on chromatin co-distribution analysis, we constructed a chromatin co-localization map of SMXL6 with 108 transcription factors. Among the candidate transcription factors, the Class II TEOSINTE BRANCHED1/CYCLOIDEA/PCF (TCP) family member TCP4 shows the highest frequency of chromatin co-localization with SMXL6. SMXL6 and TCP4 co‑localize at the promoter regions of 18 SL-induced SMXL6 target genes (SISGs), including BRC1. We confirmed that TCP4 interacts with SMXL6 and can bind directly to these co‑localized sites. The loss of CIN-TCPs function reduces the hormone responsiveness of the SL-induced genes. Introducing the tcp3/4/10 into SL‑deficient mutants restored the BRC1 expression to a level exceeding that of the wild type. However, the branching phenotype of the SL‑deficient mutant was only partially rescued, suggesting a limited role for BRC1 in SL‑mediated branching control and implicating the involvement of additional factors. An unexpected finding was that tcp3/4/10 rescued the dwarf phenotype of the SL‑deficient mutants, providing an opportunity to elucidate the mechanisms underlying SL‑regulated plant height. These findings demonstrate that TCP4 mediates SMXL6 chromatin recruitment during SL signaling, and provide a new understanding of how SMXL6 participates in SL signaling-mediated gene expression and plant development.

Lactones↗

PubMed2026

EIF4H and YBX1 are essential host factors for hepatitis E virus replication and pathogenesis.

Hepatitis E virus (HEV) is a leading cause of acute viral hepatitis worldwide, responsible for approximately 20 million infections annually. Despite the availability of a vaccine in China, no direct-acting antivirals are approved, and host factors required for HEV replication remain poorly defined. Here, using a genome-wide CRISPR/Cas9 knockout screen in a replicon system, we identified Eukaryotic Translation Initiation Factor 4H (EIF4H) and Y-Box Binding Protein 1 (YBX1) as essential host factors for HEV replication and pathogenesis. Knockout of either factor markedly impaired replication of HEV genotypes 1, 3, and 4, as well as HEV infection and production in hepatocellular carcinoma cells and human induced pluripotent stem cell-derived hepatocyte-like cells, while leaving SARS-CoV-2, hepatitis B virus, hepatitis C virus, and Zika virus unaffected, underscoring their HEV-specific roles. Mechanistically, EIF4H interacts with ORF1 via its methyltransferase-Y-papain-like protease region, and EIF4H deficiency alters the composition of the ORF1-associated replication complex. By contrast, YBX1 is dispensable for ORF1 translation and RNA binding but is specifically required for ORF1 proteolytic processing, a prerequisite for assembling a functional replication machinery. EIF4H knockout rats and liver-specific YBX1 knockout rats were largely resistant to rat HEV-C1 infection, showing profound reductions in viral shedding, suppressed hepatic and intestinal viral loads, and protection from liver pathology. Together, our findings establish EIF4H and YBX1 as essential host factors for HEV infection and pathogenesis and reveal potential targets for antiviral intervention.

Virus Replication↗

PubMed2025

ZIPcnv: accurate and efficient inference of copy number variations from shallow whole-genome sequencing.

MOTIVATION: Shallow whole-genome sequencing (sWGS), a rapid and cost-effective sequencing technology, has gradually been widely adopted for CNV analyses. However, with genome‑wide coverage of only 0.1-5×, sWGS data display a pronounced zero‑inflation phenomenon-a large fraction of loci has zero sequencing reads. Zero inflation causes read counts to fluctuate by several‑fold between adjacent windows. As a result, random upward blips in coverage can be misinterpreted as copy‑number gains (false positives), and true deletions often become indistinguishable from pervasive zero‑coverage noise. In addition, existing CNV detection tools developed for sWGS data often struggle to adapt across different CNV sizes. These combined effects severely constrain the accuracy of CNV inference. RESULTS: To address above challenges, we propose ZIPcnv, a novel CNV detection tool specifically designed for sWGS data. First, we apply a segment sliding window to smooth the raw read depth signal, which transforms the original zero-inflated statistical characteristics into approximately normal distribution characteristics. We then design a statistical process model that robustly detects persistent shifts under high background noise using a cumulative sum strategy, classifying genomic regions into candidate and non-candidate CNV regions. Finally, dynamic sliding windows are used for one-pass detection of CNVs of varying lengths, with window size adapting to the CNV region size. We evaluated the performance of ZIPcnv on simulated data and 190 real whole-genome sequencing samples. Experimental results show that ZIPcnv consistently outperforms currently popular CNV detection tools. AVAILABILITY AND IMPLEMENTATION: The ZIPcnv source code is freely available at https://github.com/Nevermore233/ZIPcnv.

DNA Copy Number Variations↗

PubMed2025

Hematological diseases-related mucormycosis: A retrospective single center study.

BACKGROUND AND AIM: Mucormycosis is a life-threatening invasive fungal infection. This study aimed to analyze the clinical characteristics of patients with hematologic malignancies complicated with mucormycosis. METHODS: This retrospective study investigated the clinical characteristics, epidemiological features, treatment, and prognosis of 46 patients with hematological diseases and Mucor infection as indicated by mNGS from August 28, 2020 to September 11, 2023. Metagenomic next-generation sequencing (mNGS) refers to the application of high-throughput sequencing technology for the comprehensive analysis of nucleic acid content in patient samples, facilitating the detection and characterization of microbial DNA and/or RNA, and then comparing and analyzing the results with an information database to determine the types of pathogenic microorganisms present in the sample. RESULTS: The median age of admission for the included patients was 49 years (9-78). Multivariate analysis identified age over 60 years (p = 0.006 < 0.05), high-dose corticosteroids (p = 0.001 < 0.05), neutropenia lasting more than 10 days (p = 0.041 < 0.05), and two or more Mucor infections (p = 0.004 < 0.05) were independent risk factors for OS in patients with hematological diseases. Moreover, differences between groups were analyzed using the Fisher exact probability method, and no significant difference was observed in the efficacy of various types of antifungal therapies. CONCLUSION: Patients with hematologic malignancies benefit greatly from early diagnosis and treatment when suspected of Mucor infection. mNGS is an important supplementary method for early diagnosis of Mucor infection. Moderated use of corticosteroids, reducing the duration of neutropenia, and enhancing autologous immune function are important measures to reduce patient mortality rate.

Retrospective Studies↗

PubMed2025

Online Risk Behavior in Adolescents: A Systematic Review.

Identifying and categorizing online risk behaviors is crucial for assessing their impact on adolescents. Despite extensive research, previous studies have not provided a clear classification of these behaviors. This systematic review synthesizes the quantitative literature on adolescent online risk behaviors from the inception of research to September 2023, aiming to: (a) offer a comprehensive overview of the types of online risk behaviors and the specific actions encompassed within each category among adolescents; (b) summarize the adverse outcomes associated with these behaviors; and (c) discuss the implications and future research directions. Utilizing key terms, this study sourced studies from four electronic databases (Scopus, PubMed, Web of Science, and EMBASE), ultimately including 22 English-language quantitative studies. The review reveals that online risk behaviors are primarily categorized into content risk behaviors, contact risk behaviors, and conduct risk behaviors. Adolescents engaging in these behaviors are at an increased risk of experiencing physical health issues, mental health problems, externalizing behaviors, and even self-harm and suicidal thoughts or actions. Further research is needed to develop and validate an online risk behavior scale and conduct longitudinal and experimental studies to establish causal relationships and examine the long-term effects of these behaviors on adolescent well-being. The review concludes with implications for future research and potential prevention, intervention, and policy strategies to mitigate online risk behaviors in adolescents.

Humans↗

PubMed2024

Identification of cuproptosis-realated key genes and pathways in Parkinson's disease via bioinformatics analysis.

INTRODUCTION: Parkinson's disease (PD) is the second most common worldwide age-related neurodegenerative disorder without effective treatments. Cuproptosis is a newly proposed conception of cell death extensively studied in oncological diseases. Currently, whether cuproptosis contributes to PD remains largely unclear. METHODS: The dataset GSE22491 was studied as the training dataset, and GSE100054 was the validation dataset. According to the expression levels of cuproptosis-related genes (CRGs) and differentially expressed genes (DEGs) between PD patients and normal samples, we obtained the differentially expressed CRGs. The protein-protein interaction (PPI) network was achieved through the Search Tool for the Retrieval of Interacting Genes. Meanwhile, the disease-associated module genes were screened from the weighted gene co-expression network analysis (WGCNA). Afterward, the intersection genes of WGCNA and PPI were obtained and enriched using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Subsequently, the key genes were identified from the datasets. The receiver operating characteristic curves were plotted and a PPI network was constructed, and the PD-related miRNAs and key genes-related miRNAs were intersected and enriched. Finally, the 2 hub genes were verified via qRT-PCR in the cell model of the PD and the control group. RESULTS: 525 DEGs in the dataset GSE22491 were identified, including 128 upregulated genes and 397 downregulated genes. Based on the PPI network, 41 genes were obtained. Additionally, the dataset was integrated into 34 modules by WGCNA. 36 intersection genes found from WGCNA and PPI were significantly abundant in 7 pathways. The expression levels of the genes were validated, and 2 key genes were obtained, namely peptidase inhibitor 3 (PI3) and neuroserpin family I member 1 (SERPINI1). PD-related miRNAs and key genes-related miRNAs were intersected into 29 miRNAs including hsa-miR-30c-2-3p. At last, the qRT-PCR results of 2 hub genes showed that the expressions of mRNA were up-regulated in PD. CONCLUSION: Taken together, this study demonstrates the coordination of cuproptosis in PD. The key genes and miRNAs offer novel perspectives in the pathogenesis and molecular targeting treatment for PD.

Humans↗

PubMed2020

Epigenome-wide meta-analysis of PTSD across 10 military and civilian cohorts identifies methylation changes in AHRR.

Epigenetic differences may help to distinguish between PTSD cases and trauma-exposed controls. Here, we describe the results of the largest DNA methylation meta-analysis of PTSD to date. Ten cohorts, military and civilian, contribute blood-derived DNA methylation data from 1,896 PTSD cases and trauma-exposed controls. Four CpG sites within the aryl-hydrocarbon receptor repressor (AHRR) associate with PTSD after adjustment for multiple comparisons, with lower DNA methylation in PTSD cases relative to controls. Although AHRR methylation is known to associate with smoking, the AHRR association with PTSD is most pronounced in non-smokers, suggesting the result was independent of smoking status. Evaluation of metabolomics data reveals that AHRR methylation associated with kynurenine levels, which are lower among subjects with PTSD. This study supports epigenetic differences in those with PTSD and suggests a role for decreased kynurenine as a contributor to immune dysregulation in PTSD.

Basic Helix-Loop-Helix Proteins↗