🧬 Category

q-bio

4401 papers

🧬 biology

Evaluating the performance of polygenic indices of neuropsychiatric conditions and brain endophenotypes in four UK population samples

This study utilizing four UK population samples reveals that while polygenic indices for neuropsychiatric conditions significantly predict adult mental health symptoms, a substantial portion of their effects are environmentally mediated through the rearing environment, and current brain-based endophenotype indices lack the power to serve as effective alternatives.

Anna Dearman, Pascal Vrticka, Jamie Moore, Meena Kumari, Leonard Schalkwyk2026-07-30
🧬 biology

PRISM-PD: A Computational Atlas of Multimodal Biomarker Coordination in Parkinson’s Disease

This paper introduces PRISM-PD, a lightweight and explainable computational framework that analyzes multimodal biomarker coordination in Parkinson's disease to reveal that early inflammatory coupling disruption and nigrostriatal degeneration are independent processes, while demonstrating distinct progression trajectories across clinical phenotypes and genetic subtypes.

John Mayfield, Anna Goodheart, Saurabh Rohatgi, Jeremy Ford, Matt Rosen, Javier Romero2026-07-30
🧬 biology

Tetramethylpyrazine ameliorates ulcerative colitis via B. pseudolongum-driven taurine metabolism and M2 macrophage polarization

This study demonstrates that Tetramethylpyrazine ameliorates ulcerative colitis by enriching *Bifidobacterium pseudolongum*, which drives taurine metabolism to activate Foxo1-mediated antioxidant defenses and promote M2 macrophage polarization, thereby suppressing intestinal inflammation.

Zhijiang Huang, Xiaojian Zhu, Yanglin Chen, Hongtao Wan, Dengke Yao, Min Peng, Xujie Deng, Jiangfeng Yin, Xianwu Zhang (…)2026-07-30
🧬 biology

A Comprehensive Evaluation of Machine Learning Pipelines for Toxic Endpoint Prediction

This study presents a comprehensive benchmark of machine learning pipelines for predicting hormone receptor toxicity across 52 ToxCast assays, demonstrating that Random Forest models trained on physicochemical properties without dimensionality reduction consistently outperform deep learning and other advanced methods in terms of accuracy, efficiency, and interpretability.

Lisa-Marie Rolli, Loulwah Arnaout, Andrea Volkamer2026-07-30
🧬 biology

Measurement design and the apparent inactivity of women in urban Chile​

This study of urban Chilean residents demonstrates that the apparent sex gap in physical activity is largely an artifact of measurement designs focusing solely on leisure-time exercise, as incorporating unpaid domestic and care work reveals that women's total daily energy expenditure nearly equals men's, significantly reducing the disparity in meeting WHO activity guidelines.

Josivaldo De Souza-Lima, Claudio Farias-Valenzuela, Rodrigo Yáñez-Sepúlveda, Frano Giakoni-Ramírez, Catalina Muñoz-Stral (…)2026-07-30
🧬 biology

The nitroplast import signal is a C-terminal, glycine- and alanine- rich, proline-punctuated element: a controlled reanalysis that separates real targeting grammar from cross-species composition artefact

This paper reanalyzes the proposed nitroplast targeting signal in *Braarudosphaera bigelowii* and concludes that while a distinct C-terminal, glycine- and alanine-rich, proline-punctuated element exists, its previously reported high specificity is largely inflated by cross-species amino acid composition biases rather than representing a unique, tested targeting grammar.

Cem Boyraz2026-07-30
🧬 biology

The identification of key immune related genes and pathways in polycystic ovary syndrome by bioinformatics analysis of Single-cell RNA sequencing data

This study utilizes single-cell RNA sequencing and bioinformatics analysis to identify immune-related hub genes, regulatory networks, and potential therapeutic compounds, thereby elucidating the molecular mechanisms and diagnostic biomarkers associated with polycystic ovary syndrome (PCOS).

Basavaraj Vastrad, Siddalingeshwar Patil, Chanabasayya Mallikarjunayya Vastrad2026-07-30