Results 201 to 210 of about 133,927 (289)

Law & Healthcare Newsletter, vol. 23, no. 1, Fall 2015 [PDF]

, 2015

core   +1 more source

The impact of a high‐fat diet on liver health in pregnant mice and their offspring: The role of the gut‐liver axis

iMetaOmics, EarlyView.
The study investigated the longitudinal effects of normal and high‐fat diet, showing their differential effects on gut microbiota diversity and gut metabolites, with the latter having a significant impact on increasing liver inflammation and gut microbiota and metabolites disruption.
Qian Gong, Yufei Zhang, Juxiong Liu, Shuai Yuan, Huijie Hu, Yu Cao, Shoupeng Fu, Wenjin Guo   +7 more
wiley   +1 more source

Effects of species and sex on the gut microbiome of four laboratory-reared fruit fly lines (Diptera: Tephritidae) using full-length 16S rRNA PacBio Kinnex sequencing. [PDF]

BMC Microbiol
Aoki S, Weaver M, Simmonds TJ, Shikano I, Geib SM, Mason CJ.   +5 more
europepmc   +1 more source

Longitudinal profiling of the human gut microbiome reveals temporal and personalized responses to inulin

iMetaOmics, EarlyView.
This study monitored gut microbiome changes in healthy volunteers following inulin intervention, revealing dynamic and highly individualized shifts in microbial composition and short‐chain fatty acid production. Using in vitro batch cultures, correlation analysis, and predictive modeling, we explored the personalized microbiome response.
Lu Wu, Hong‐Bin Liu, Xu‐Wen Wang, Zi‐Ning Tao, Ze‐Peng Qu, Chao‐Bi Lei, Yang‐Yu Liu, Lei Dai   +7 more
wiley   +1 more source

Microbiota humanization drives human‐like metabolic and immune transcriptomic shifts in pigs

iMetaOmics, EarlyView.
This study successfully established gut microbiota‐humanized pigs, achieved human‐like remodeling of the serum metabolome, and uncovered transcriptional alterations in immune cell subsets. These findings advance our understanding of how human gastrointestinal microorganisms affect host metabolism and the immune function in a porcine model.
Zhaoqi Zhang, Yanan Xu, Kun Pang, Changhong Wu, Chenxu Zhao, Tong Lei, Jiayu Zhang, Tang Hai, Fangqing Zhao, Yong Zhao   +9 more
wiley   +1 more source

Altered oral microbiome composition in mental disorders: a systematic review and meta-analysis. [PDF]

J Oral Microbiol
Cao D, Yang J, He Y, Zheng X, Li Y, Chen Y, Tu Y.   +6 more
europepmc   +1 more source

Advanced Dialogues: From Laboratory to Clinics: Plant Cell‐Based Affordable Biologics

Advanced Genetics, EarlyView.
Henry Daniell
wiley   +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

Group-wise normalization in differential abundance analysis of microbiome samples. [PDF]

BMC Bioinformatics
Clark-Boucher D, Coull BA, Reeder HT, Wang F, Sun Q, Starr JR, Lee KH.   +6 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