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Biomedical subjects

Xinyu Zhang

Publications and source records attributed to Xinyu Zhang.

3 recordsLinked to original sources

Neurodevelopmental toxicity of 2-(Methylthio)benzothiazole (MTBT) in zebrafish: Insights into PTGS2- associated dysregulation of the neuroactive ligand-receptor interaction pathway.

2-(Methylthio)benzothiazole (MTBT), an important derivative of benzothiazoles, has extensive applications in industrial processes, pharmaceuticals, and environmental monitoring. It can enter aquatic environments through surface runoff and has been detected at relatively high concentrations in various environmental systems. However, studies investigating the aquatic toxicity of MTBT remain limited. In this study, zebrafish embryos were exposed to MTBT at concentrations of 0, 10, 100, and 1000 μg/L for 144 h to evaluate its developmental and neurotoxic effects. MTBT exposure significantly reduced the survival rate, hatching rate, spontaneous movement, and body length of zebrafish larvae. MTBT also impaired locomotor behavior, reduced fluorescence of Tg(huc:eGFP) larvae in the central nervous system and inhibited motor neuron axonal development. Protein-protein interaction network and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses indicated that MTBT-induced neurotoxicity may be associated with disruption of the neuroactive ligand-receptor interaction pathway. Further validation experiments revealed that MTBT induced oxidative stress, inflammation, and apoptosis, suggesting that these adverse effects may underlie its neurodevelopmental toxicity. Collectively, these findings provide biological evidence that MTBT induces neurodevelopmental toxicity in zebrafish larvae and suggest that dysregulation of the PTGS2-related neuroactive ligand-receptor interaction pathway may be involved in this process.

2-(Methylthio)benzothiazole (MTBT)

Machine learning-ready genomic biomarkers: ATF3 polymorphisms predict postoperative analgesic demand through AI-compatible phenotyping.

PURPOSE: To determine whether ATF3 polymorphisms can serve as genetic biomarkers for machine learning-based precision analgesia by establishing a genotype-phenotype association suitable for predictive modeling of postoperative opioid requirements. METHODS: In a prospective cohort of 167 adults undergoing abdominal surgery, ATF3 SNPs rs3122721 and rs3125293 were genotyped. A structured dataset architecture was developed to represent genetic profiles as input features for supervised learning models, enabling translational analysis of genotype‑dependent opioid consumption over 72 h. RESULTS: Patients with homozygous genotypes of the ATF3 SNPs had significantly higher opioid requirements than non‑carriers, despite reporting similar subjective pain scores. This consistent genotype‑dependent pattern provided a clinically relevant phenotype suitable for integration into predictive algorithms. CONCLUSION: ATF3 genotyping offers a promising biomarker for computationally informed precision analgesia. By linking genomic variability to clinically meaningful outcomes within a structured clinical and genomic framework, this approach supports the future development of risk-stratified clinical decision-support systems to optimize postoperative pain management.Trial registration ChiCTR1900021991, registered 30 April 2019. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1007/s13755-026-00480-9.

ATF3

Aberrant DNA methylation of genes regulating CD4+ T cell HIV-1 reservoir in women with HIV.

BACKGROUND: The HIV-1 reservoir in CD4+ T cells (HRCD4) pose a major challenge to curing HIV, with many of its mechanisms still unclear. HIV-1 DNA integration and immune responses may alter the host's epigenetic landscape, potentially silencing HIV-1 replication. METHODS: This study used bisulphite capture DNA methylation sequencing in CD4+ T cells from the blood of 427 virally suppressed women with HIV to identify differentially methylated sites and regions associated with HRCD4. RESULTS: The average total HRCD4 size was 1409 copies per million cells, with most proviruses defective and only a small proportion intact. The study identified 245 differentially methylated CpG sites and 85 regions linked to HRCD4 size, with 52% of significant sites in intronic regions. Genes associated with HRCD4 were involved in viral replication, HIV-1 latency and cell growth and apoptosis. HRCD4 size was inversely related to DNA methylation of interferon signalling genes and positively associated with methylation at known HIV-1 integration sites. HRCD4-associated genes were enriched on the pathways related to immune defence, transcription repression and host-virus interactions. CONCLUSIONS: These findings suggest that HIV-1 reservoir is linked to aberrant DNA methylation in CD4+ T cells, offering new insights into epigenetic mechanisms of HIV-1 latency and potential molecular targets for eradication strategies. KEY POINTS: Study involved 427 women with HIV. Identified 245 aberrant DNA methylation sites and 85 methylation regions in CD4+ T cells linked to the HIV-1 reservoir. Highlighted genes are involved in viral replication, immune defence, and host genome integration. Findings suggest potential molecular targets for eradication strategies.

Humans