🧬 biology

Human disturbances amplify airborne potential health risks by reshaping viromes and microbiomes

This study demonstrates that human disturbances significantly amplify airborne health risks by reshaping microbial and viral communities, increasing antibiotic resistance and virulence factors, and enhancing cross-habitat gene transfer, with these effects varying notably between road dust and settled dust across urban-rural gradients.

Jianqiang Su, Hu Li, Yanyan Zhou, Mengke Gao, Xiaoru Yang, Dong Zhu, Yong-Guan Zhu2026-08-25
🧬 biology

Cortical and Subthalamic Dynamics Associated with Distinct Gait Domains in Parkinson’s Disease

This study integrates full-body kinematics with cortical and subthalamic neural recordings in Parkinson's disease patients to demonstrate that specific gait domains, particularly gait variability, are associated with phase-dependent sensorimotor low-gamma power, offering a framework for targeted adaptive neuromodulation.

Zhongke Mei, Lena Salzmann, Aline S. Brunner, Andreas Fleisch, Olivier Lambercy, Roger Gassert, William R. Taylor, Deepa (…)2026-08-25
🧬 biology

Catalytic partitioning and divergent steroidogenic effects of CYP17A1 inhibition by seviteronel and abiraterone

This study demonstrates that while abiraterone is a more potent CYP17A1 inhibitor, seviteronel exhibits superior selectivity for the 17,20-lyase activity over 17α-hydroxylase due to distinct structural anchoring mechanisms, resulting in different steroidogenic profiles and shared sensitization of prostate cancer cells to ferroptosis.

Amit Pandey, Jibira Yakubu, Therina du Toit, Kodzo Atchou, Shripriya Singh, Anna Matveeva, Flemming Jørgensen2026-08-25
🧬 biology

Production, Optimization, Purification and Characterization of Cellulase from Novel Bacterial strain Isolated from Vegetable Wastes

This study reports the isolation, molecular identification, and optimization of cellulase production from a novel *Pseudomonas aeruginosa* strain derived from potato peel waste, followed by the partial purification and characterization of the 58kDa enzyme, which was successfully applied to improve the surface quality of cotton fabric.

Muhammad Imran, Altaf Hussain, Muhammad Tayyab, Muhammad Asad Ali, Ansa Manzoor2026-08-25
🧬 biology

An engagement score as a reliability gate in at-home paediatric sleep screening: framework, retrospective classifier evaluation, and Monte-Carlo behavioural simulation

This paper proposes and evaluates a framework for at-home pediatric sleep screening that integrates acoustic snore classification with an engagement-based reliability gate to prevent low-adherence data from generating misleading risk assessments, demonstrating improved data sufficiency in retrospective and simulation studies.

Maanas Bellamkonda2026-08-25
🧬 biology

Detection of mrkD and fimH Biofilm Genes and Antibiotic Susceptibility of Uropathogenic Biofilm-Producing Klebsiella pneumoniae in Sana'a City, Yemen

This study in Sana'a, Yemen, reveals that biofilm-producing *Klebsiella pneumoniae* isolates from urinary tract infections are highly prevalent, frequently exhibit extensive or multidrug resistance, and show a strong statistical association between the *fimH* virulence gene and robust biofilm formation.

Safa’a Mohammed M Darwiesh, Dekra A El-Aghbary, Khaled Abdulkarim Al-Moyed, Hassan Abdulwahab Al-Shamahy, Ali N. M. Gubr (…)2026-08-25
🧬 biology

In Silico Deduction of Divergent GAS5 Splicing Architectures and snoRNA-Mediated Oncoribosome Biogenesis in Gastrointestinal Adenocarcinomas

This in silico study reveals that esophageal and colorectal adenocarcinomas divergently hijack the GAS5 locus through distinct splicing mechanisms—EAC utilizes precise spliceosome rewiring to enrich specific snoRNAs for ribosome biogenesis, while CRC employs chaotic macro-skips triggering NMD to destroy the ceRNA sponge and unleash miR-21-mediated oncogenic signaling.

John Manipadam2026-08-25
🧬 biology

Usnica 4.1 GPU: A Multiscale Bayesian-Calibrated Framework for Whole-Brain Simulation at 86 Billion Neurons on a Single Consumer GPU

The paper presents Usnica 4.1 GPU, a multiscale Bayesian-calibrated framework that overcomes the prohibitive computational costs of simulating 86 billion neurons on a single consumer GPU by employing efficient approximations, thereby enabling the rapid validation of Alzheimer's disease compounds and the proposal of a safe, long-term therapeutic triple combination.

Lucas Lima Freitag2026-08-25