Results 241 to 250 of about 141,582 (291)

A Dual Action of Everolimus in Ulcerative Colitis: Blocking CLEC4E‐Driven Inflammation and Remodeling the Gut Microbiota‐Metabolite Axis

iMetaMed, EarlyView.
Graphical abstract of the major mechanisms of Everolimus in ulcerative colitis: Everolimus, a selective mTORC1 inhibitor, protects against ulcerative colitis through a dual mechanism. First, Eve directly suppresses CLEC4E/Syk/NF‐κB signaling, thereby reducing pro‐inflammatory cytokine production and preserving intestinal barrier integrity.
Jing Chen, Min Li, Wenyan Sun, Yuyun Chen, Yu Sheng, Cuihua Lu, Zhaoxiu Liu   +6 more
wiley   +1 more source

Gut microbiota profiles of peninsular Malaysian populations are associated with urbanization and lifestyle. [PDF]

Sci Rep
Jamaluddin NF, Brovkina O, Nor Rashid N, Al-Maleki AR, Lim YA, Tan MP, Lee SC, Duvallet C, Corzett CH, Alm E, Groussin M, Poyet M, Ibrahim F.   +12 more
europepmc   +1 more source

BioMGCore: A toolkit for detection of biological metabolites in microbiome

iMetaOmics, EarlyView.
The keyword matching and gene proximity principles were used to accurately identify core gene clusters in microbial genomes. The metabolic gene clusters can be classified into different taxonomic groups according to Domain, Phylum, Class, Order, Family, Genus, and Species. BioMGCore can achieve batch statistics for secondary metabolites prediction.
Guang Yang, Guohao Yu, Qian Cui, Xueping Huang, Kexin Guo, Shulei Jia   +5 more
wiley   +1 more source

Parity influences on the infant gut microbiome development: a longitudinal cohort study. [PDF]

Gut Microbes
Prasad R, Angelova A, Subramanian P, Namasivayam S, Chen Q, Banks K, Levy S, Maxwell GL, Hourigan SK.   +8 more
europepmc   +1 more source

Modular automated high‐throughput isolation and phylogenetic identification of bacteria from complex microbiomes

iMetaOmics, EarlyView.
Metagenomic analysis can generate hypotheses about microbiome interactions and function, yet mechanistic understanding is only possible through precise experimentation manipulating its microbiota composition. The high‐throughput isolation of microbiome members thus represents a core resource in this field of research.
Rubén Chaboy‐Cansado, Silvia Talavera‐Marcos, Ramón Gallego‐Simón, Paula Cobeta, Gabriel Roscales, Alberto Rastrojo, Daniel Aguirre de Cárcer   +6 more
wiley   +1 more source

Analysis of fecal microbiome in Chinese patients with non-severe aplastic anemia. [PDF]

Ann Hematol
Zhang X, Xie J, Wang H, Li J.
europepmc   +1 more source

Saliva MicroAge: A salivary microbiome based machine learning model for noninvasive aging assessment and health state prediction

iMetaOmics, EarlyView.
Saliva MicroAge is a machine learning‐based model designed to estimate biological age and assess health status using globally sourced salivary microbiome data. Trained on 4532 healthy samples, the model achieves high accuracy in predicting chronological age and captures health‐related deviations (MicroAgeGap) in various diseases.
Tiansong Xu, Yuting Niu, Chenyu Deng, Yoo Cheung, Yuman Li, Zhewen Hu, Shiyu Sun, Yiming Chen, Fan He, Gai Yang, Feng Chen, Chenggang Duan, Ying Huang, Xuliang Deng   +13 more
wiley   +1 more source

RTTAP: Empowering metatranscriptomic data analysis with a read‐based total‐infectome taxonomic solution

iMetaOmics, EarlyView.
Metatranscriptomic data analysis is a complex task due to its sheer volume and the need for sophisticated bioinformatics tools. To address this, we developed the Read‐based Total‐infectome Taxonomic Analysis Pipeline (RTTAP), an automated pipeline for metatranscriptomic data analysis that eliminates the need for users to manually select databases ...
Wei Jiang, Herui Liao, Mang Shi, Liangjun Chen, Yanni Sun   +4 more
wiley   +1 more source

Oral microbiome as a diagnostic biomarker for pancreatic cancer: a systematic review and meta-analysis of diagnostic accuracy. [PDF]

J Oral Microbiol
Koopaie M, Fatahzadeh M, Kolahdooz S.
europepmc   +1 more source

Microbiosthma: a prospective study following respiratory microbiota in young children with severe preschool wheezing to better understand their respiratory future. [PDF]

BMC Pulm Med
Petat H, Hassel C, Michel A, Charbonnier C, Plantier JC, Marguet C.   +5 more
europepmc   +1 more source