Skip to content

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Causal effects of gut microbiota on functional gastrointestinal disorders: a bidirectional Mendelian randomization study

Emerging evidence suggests that gut microbiota is associated with functional gastrointestinal disorders (FGIDs). However, findings regarding microbial alterations in FGIDs have been inconsistent across observational studies, and the direction and causality of these associations remain unclear. We conducted a bidirectional two-sample Mendelian randomization (MR) study to investigate potential causal associations between gut microbiota and two common FGIDs, irritable bowel syndrome (IBS) and functional dyspepsia (FD). Genome-wide association study (GWAS) summary statistics of gut microbiota, IBS, and FD were obtained from public databases and applied to our MR analysis. The inverse-variance-weighted method was used as the primary analysis, with weighted median and complementary sensitivity analyses used to assess the consistency and robustness of the findings. Higher genetically predicted abundances of order Bifidobacteriales (OR: 0.741, 95% CI: 0.570 to 0.963, P = 0.025) and genus Eubacterium ventriosum group (OR: 0.684, 95% CI: 0.524 to 0.893, P = 0.005) were associated with a lower risk of IBS. Genus Lachnospiraceae NK4A136 group (OR: 1.368, 95% CI: 1.086 to 1.722, P = 0.008) correlated to a high risk of FD while family Desulfovibrionaceae and order Desulfovibrionales (OR: 0.649, 95% CI: 0.471 to 0.893, P = 0.008) were protective for FD. In the reverse MR analysis, genetically predicted IBS risk was associated with lower abundances of Turicibacter and Slackia , whereas no robust reverse associations were observed for FD. These findings identify several microbial taxa as candidates for further mechanistic and clinical validation rather than established risk factors or therapeutic targets. Further experimental research to investigate the underlying mechanisms is warranted.

Yu-Tong Cheng, Qiu-Ai Shu, Zi-Wei Wang et al. · 0 citations
Preprint Sep 2026

Operationalizing open-ended biological discovery across single-cell representations

Single-cell studies are typically initiated from predefined research questions, leaving much of the biological information encoded within existing data unexplored. We formalize open-ended discovery as an analytical paradigm, in which data-derived signals are identified before biological context is interrogated and subsequently evaluated according to their potential to justify prospective experimental investment. Here we develop PROSPECTor, an end-to-end framework that searches for reproducible biological structures across conventional expression representations and diverse foundation-model embeddings, translating robust signals into quantitatively testable candidate hypotheses. Projection into unseen datasets then evaluates their generalizability and phenotype association, providing a scalable screen for candidates that warrant prospective validation. Supported signals emerged from different representation spaces and search strategies. PROSPECTor-nominated hypotheses were then examined in independent biological settings: fibroblast extracellular-matrix programmes demonstrated transferability to an independent mouse cohort with an intervention context, while a patient-resolved gastric-cancer T-cell programme recurred across single-cell, bulk and spatial cohorts. PROSPECTor establishes an auditable framework for systematically revisiting single-cell datasets across expanding representation spaces, turning retrospective collections into prospective resources for biological discovery that can motivate new research questions.

Ning Zhang, Zi-wei Wang, Ning Xie et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.