Peiyu Qiu

Dr. Peiyu Qiu


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Verified
Journal Article
Open access
PDF file
HLHao Ling
Hao Ling
PQPeiyu Qiu
Peiyu Qiu
YHYanzhu Hu
Yanzhu Hu
Metabolic dysfunction-associated steatohepatitis (MASH) progresses through macrophage activation and hepatic stellate cell (HSC)-driven fibrogenesis. As cell-level single-cell discoveries often suffer from pseudoreplication and fail to replicate across cohorts, in this study we critically re-evaluated human liver single-nucleus RNA-sequencing data using a rigorous per-donor statistical framework to dissociate invariant biological signals from technical artifacts. Macrophage and HSC compartments from dataset GSE202379 were profiled across clinical stages (healthy, metabolic dysfunction-associated steatotic liver disease, MASH). Cell-level statistics were aggregated into per-donor metrics, and continuous phenotypic shifts evaluated via the Jonckheere–Terpstra (JT) trend test. Key findings were tested for cross-cohort reproducibility in two independent cohorts (GSE136103 and GSE244832). A 249-gene scar-associated macrophage (SAMac) program showed reproducible, stage-dependent expansion in the discovery cohort (per-donor Jonckheere–Terpstra trend across the disease-only spectrum, MASLD to advanced MASH, z = 2.23, p = 0.026 [primary]; z = 2.74, p = 0.006 across all four stages including the healthy baseline) and directional replication in external data. Cell–cell communication analysis replicated the receptor-side topology of a conserved macrophage-to-HSC PDGF axis in both external cohorts and the ligand-driven PDGFC→PDGFRB edge in the external snRNA-seq cohort (GSE244832), with PDGFRB being a high-degree hub within the HSC fibrogenic interaction network. Importantly, a previously published global HSC activation module failed to validate (JT p = 0.77); however, its core extracellular matrix and RUNX1/2 sub-axis remained robust, whereas the widely claimed AP-1/JUNB regulatory driver was not supported at the transcript level in the single-nucleus RNA-seq cohort data. These findings are consistent with an isolation-associated immediate-early gene response in enzymatically dissociated scRNA-seq data, given the flat-to-downward transcript-level trend in cryopreserved-tissue cohorts; transcript-level data cannot, however, exclude protein- or phosphorylation-level AP-1 activity. Targetable downstream components within the validated core architecture were annotated. By implementing per-donor verification, we successfully separated robust pathological features of MASH from platform-dependent artifacts. The validated SAMac program and the macrophage–HSC PDGF axis, together with an associated RUNX subprogram, represent high-confidence, reproducibility-filtered candidate therapeutic nodes that require functional validation. These findings establish a reproducibility-first standard for single-cell translational research, and the validated programs are consistent with emerging models of inter-organ inflammatory circuitry in MASH.

Verified
Journal Article
Open access
PDF file
HLHao Ling
Hao Ling
PQPeiyu Qiu
Peiyu Qiu
YHYanzhu Hu
Yanzhu Hu
YSYan Sun
Yan Sun
Although papillary thyroid carcinoma (PTC) is widely considered an immunologically cold tumor, detectable T-cell infiltration can influence disease progression in selected patients. Previous bulk analyses have linked cAMP-responsive element modulator (CREM) expression to a favorable progression-free interval and an inverse correlation with regulatory T-cell infiltration but have not resolved the cellular origin or functional state. In this study, we integrate single-cell RNA-sequencing data from a 23-sample PTC atlas with bulk Cancer Genome Atlas Thyroid Carcinoma (TCGA–THCA) validation. We show that CREM marks a T-cell receptor (TCR)-driven immediate early gene activation state in tumor-infiltrating T cells rather than a cAMP program; this state is consistently and modestly enriched within the FOXP3+ regulatory T-cell compartment, challenging the interpretation that bulk inverse Treg–CREM correlations reflect Treg-intrinsic repression. CREM-high T cells upregulate ANXA1, and permutation-controlled analysis identifies a candidate paracrine axis from CD4/CD8 T cells to the epithelial epidermal growth factor receptor (EGFR). At the bulk level, CREM expression correlates with reduced proliferation programs and is associated with a prolonged progression-free interval (multivariate HR 0.56, 95% CI 0.31–1.00, p = 0.050), with the effect direction preserved after immune and sex adjustment. Genome-wide differential expression and gene-set enrichment in an independent cohort (GSE193581) confirm that CREM-detected T cells are enriched for a TCR-driven immediate early transcriptional program, supporting the reinterpretation of CREM as a marker of TCR-driven IEG activation.