Biomedical subjects

Qian He

Publications and source records attributed to Qian He.

6 recordsLinked to original sources

PubMed2026

Transposable Element Dynamics Drive the Genomic Evolution and Phenotypic Diversification of Allotetraploid Common Carp.

An important question in evolutionary biology is how polyploidization generates raw material for phenotypic diversification. Transposable elements (TEs) represent an underestimated source of genetic variation in eukaryotic genomes. By integrating 516 whole-genome resequencing datasets and 236 transcriptomes from common carp (Cyprinus carpio), a representative allotetraploid fish, we constructed the first population-scale landscape of TE insertions in teleosts. TE insertions are widespread in the carp genome and preferentially associated with stress-responsive genes, with DNA transposons as major contributors. Relaxed purifying selection and TE burst events coexist, generating abundant variation for subsequent subspecies differentiation. Compared with a closely related diploid species, carp exhibits more exonic TE insertions and shorter TE-gene distances, and multiple TE superfamilies expanded during tetraploidization. Genome-wide association analyses uncovered intragenic TE variants underlying domesticated traits missed by SNPs, including DNA transposon deletions associated with scale reduction and altered body shape. Notably, lighter-colored individuals harbor homozygous deletions of LTR and DNA transposons within mdfic2, whose knockout in zebrafish reduces pigmentation. Most trait-associated variants reflect lineage-specific loss of ancient TE insertions rather than recent transposition. Overall, these findings highlight the distinct role of TEs in polyploid genome evolution and phenotypic diversification, providing new insights into TE dynamics in vertebrates.

allotetraploidization↗

PubMed2026

Structural basis for small-molecule agonism at GCGR and GIPR via a conserved intracellular allosteric site.

The glucagon receptor (GCGR) and gastric inhibitory polypeptide receptor (GIPR) are class B GPCRs that regulate glucose homeostasis and energy balance, making them key targets for type 2 diabetes and obesity. Achieving preferential Gs signaling at these receptors with small molecules remains an unmet challenge. Here, we report SIM1, developed through optimization of the PCO371 scaffold, which exhibits preferential Gs signaling at GCGR and GIPR with minimal detectable β-arrestin recruitment and substantially improved efficacy at GIPR. Cryo-EM structures of SIM1-GCGR-Gs (2.53 Å) and SIM1-GIPR-Gs (2.74 Å) reveal a shared intracellular allosteric interface at the receptor-G protein coupling region, distinct from extracellular peptide recognition. Structural comparison with GLP1R suggests that intracellular conformational constraints contribute to differential SIM1 responsiveness, which is restored by targeted mutations. Guided by these insights, analogs SIM2 and SIM3 exhibited up to 20-fold enhanced potency while maintaining an apparent preferential Gs signaling profile. These findings reveal a conserved intracellular allosteric activation mechanism across multiple class B GPCRs and identify SIM1 and its analogs as valuable chemical tools for investigating receptor-specific intracellular allosteric regulation and G protein-preferential signaling.

GCGR↗

PubMed2026

Ergothioneine Alleviated the Apoptosis of HK Cells by Regulating Ferroptosis.

INTRODUCTION/OBJECTIVE: Ergothioneine (EGT) is a naturally occurring antioxidant with protective effects on various human cell types. The impact of this substance on HK-2 cells, a human renal proximal tubular epithelial cell line, and the associated molecular mechanisms remain incompletely elucidated. METHODS: The present study aims to elucidate the effects of EGT on apoptosis induced by RAS-selective Lethal Molecule 3 (RSL3) and Erastin in HK-2 cells, as well as the potential mechanisms involved. The renal cortical proximal tubular epithelial HK-2 cells were cultured and exposed to RSL3 and Erastin, with or without EGT treatment. Cell viability and apoptosis were assessed using the Cell Counting Kit-8 (CCK-8) assay, while the detection of ferrous ion content and mitochondrial membrane potential changes was accomplished through the utilisation of flow cytometry and the JC-1 staining method, respectively. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, proteomic analysis, and western blotting were employed to explore the molecular pathways involved. RESULTS: The data demonstrated that RSL3 and Erastin exhibited a substantial inhibitory effect on HK-2 cell proliferation, concomitant with the accumulation of intracellular ferrous ions and a shift in mitochondrial membrane potential. The EGT treatment effectively mitigated RSL3- and Erastin-induced apoptosis in HK-2 cells. GO and KEGG enrichment analysis demonstrated that EGT suppressed pathways and functions associated with oxidative stress during ferroptosis. Proteomics analysis further demonstrated that EGT modulated various biological processes, molecular functions, and cellular components in HK-2 cells. The protective mechanism of EGT against RSL3- and Erastin-induced HK-2 cells was potentially mediated through regulation of ferroptosis. The results of the western blot analysis demonstrated that EGT modulated the expression levels of Glutathione Peroxidase 4 (GPX4) and Solute Carrier Family 7 member 11 (SLC7A11) in HK-2 cells. CONCLUSION: These data demonstrated that EGT exerts an alleviating effect on the apoptosis of HK-2 cells induced by RSL3 and Erastin by modulating ferroptosis. These findings suggest that EGT has the potential to serve as a therapeutic candidate for the treatment of kidney diseases in the future.

Ergothioneine↗

PubMed2026

Topologically distinct intratumoral heterogeneity scores for predicting high-risk pathological grades in invasive lung adenocarcinoma: A multicenter study across four institutions.

High-risk subtypes of invasive lung adenocarcinoma (IAC), particularly micropapillary- or solid-predominant patterns, are closely associated with poor prognosis. This multicenter retrospective study developed and validated a predictive model for the preoperative identification of these high-risk subtypes using topologically distinct intratumoral heterogeneity (ITH) scores derived from CT images. The study included 1,051 patients with IAC. Two complementary ITH scores were developed: a two-dimensional ITH score, which integrated local radiomics features with global pixel distribution patterns on the largest cross-sectional CT slice, and a three-dimensional ITH score, which extended this quantification across the entire tumor volume. Clinicoradiological features and ITH scores were incorporated as model inputs to construct six base machine learning classifiers and a final stacking ensemble classifier. Model interpretability and robustness were evaluated using SHapley Additive exPlanations (SHAP)-based ablation analyses. An independent dataset from The Cancer Imaging Archive (TCIA) was used for external validation to investigate associations between ITH scores and pathological characteristics, genomic features, recurrence-free survival, and overall survival. The stacking ensemble classifier achieved the best predictive performance, with an area under the receiver operating characteristic curve of 0.875, outperforming models based solely on radiomics features (0.834) or clinicoradiological features (0.792). SHAP analysis identified the 3D ITH score as the most influential contributor to model output, and TCIA validation showed that higher 3D ITH scores were associated with more aggressive tumor biology and poorer survival outcomes. The topologically distinct 3D ITH score may provide a clinically meaningful imaging biomarker for preoperative risk stratification in IAC.

Journal Article↗

PubMed2026

SCAN: A sample-to-answer cross-priming isothermal assay for on-site virus detection with RT-qPCR sensitivity and genomically similar virus differentiation specificity.

Genomically similar viruses often differ in pathogenicity and host tropism due to specific mutations, and failure to distinguish them risks misdiagnosis and ineffective control. Molecular methods can differentiate such viruses but require laboratory settings and skilled personnel, while field-deployable immunological methods suffer from cross-reactivity. To address this challenge, we developed SCAN (Sample-to-answer Cross-priming isothermal amplification Assay with Nucleic acid strip), a general framework for on-site detection of genomically similar viruses. Comparative bioinformatics of isolation and sequencing data identifies key conserved differential determinants for primer design, ensuring specificity and reducing non-specific amplification. A one-tube cross-priming isothermal amplification (CPA) enables rapid target amplification without thermal cycling, and the products are visually detected on a nucleic acid strip. All steps are integrated into a handheld, lightweight device (9.9 × 4.4 × 3.3 cm, <200 g) that also prevents aerosol contamination. Using transmissible gastroenteritis virus (TGEV) and porcine respiratory coronavirus (PRCV), the latter a natural mutant of TGEV, as a model, SCAN achieves a detection limit of 102 copies/μL with sensitivity comparable to RT-qPCR and supports sample-to-answer testing within 80 min and simple operations. With verified high sensitivity, specificity, and accuracy, as well as field usability, SCAN provides a generalizable route for developing point-of-care tests (PoCT) that require precise field differentiation of closely related pathogens.

Cross-priming isothermal amplification↗

PubMed2026

Stage-specific ROMO1 in rheumatoid arthritis: predictive immune insights into the MIF pathway and HLA-DR/IL2RA axis via integrated GWAS, transcriptomic, single-cell, and spatial profiling.

Emerging evidence links reactive oxygen species modulator 1 (ROMO1), a key mitochondrial ROS regulator, to rheumatoid arthritis (RA) pathogenesis. However, its exact mechanism remains elusive given the conflicting evidence about its specific function. We used a four-level integrative framework combining multi-omics data and literature‑supported mechanistic inference. At the genetic level, Mendelian randomization (MR) was performed to explore potential causal relationships between ROMO1, IL2RA, HLA-DR, MIF, and RA risk, followed by differential expression analysis and machine learning-based feature selection to identify key mROS genes. The temporal expression dynamics of ROMO1 were assessed in RA progression. At the cellular and tissue levels, we integrated single-cell RNA sequencing and spatial transcriptomics to map cell-type-specific expression and synovial localization of ROMO1-related immune cells and pathways. Finally, our multi-omics findings were contextualized with literature-supported mechanistic inference. (1) MR results were consistent with a potential protective effect of ROMO1 on RA (OR = 0.52) and its potential regulation of risk factors IL2RA (OR = 0.46) and HLA-DR (OR = 0.40). Conversely, IL2RA (OR = 1.42), HLA-DR (OR = 1.88), and MIF (OR = 1.17) were positively associated with RA risk. Additionally, ROMO1 was identified as a top candidate diagnostic predictor with stage-specific dynamics: downregulated in the early but upregulated in the late/remission stages. (2) Single-cell RNA sequencing showed ROMO1's cell-specific expression in CD14+ HLA-DR+ CD74+ monocytes and CD4+ IL2RA+ T cells. Cell communication analysis further suggested that these cells may participate in MIF pathway regulation. Spatial transcriptomics subsequently identified that ROMO1-related cells localized to synovial pathological regions, with MIF pathway changes correlated with RA progression. (3) Finally, literature-supported mechanistic inference suggests that ROMO1 may modulate mROS levels to promote anti-inflammatory M2 macrophage polarization, which could theoretically contribute to reduced systemic inflammation and the alleviation of multi-organ decline in RA. This integrated multi-omics investigation, supported by literature-based mechanistic inference, suggests ROMO1 as a stage-dependent biomarker candidate and potential immune regulator in RA.

Humans↗