A cautionary tale of batch corrections on confounded microbiome community profiles
We use a case study of seed microbiomes to assess the performance of five batch effects correction algorithms (BECAs) (zero‐mean centering (ZMC), Ratio‐A, conditional quantile regression (ConQuR), partial least squares discriminant analysis (PLSDA), and weighted PLSDA on a confounded data set in which the covariate of interest (plant species) does not ...
Alicia J. Foxx, Adam R. Rivers
wiley +1 more source
MUSiCC: Towards an accurate estimation of average genomic copy-numbers in the human microbiome
Ohad Manor, Elhanan Borenstein
openalex +1 more source
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+7 more
wiley +1 more source
Race and indigeneity in human microbiome science: microbiomisation and the historiality of otherness. [PDF]
Núñez Casal A.
europepmc +1 more source
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+7 more
wiley +1 more source
Exploring the role of the human microbiome in forensic identification: opportunities and challenges. [PDF]
Franceschetti L+4 more
europepmc +1 more source
Microbiota humanization drives human‐like metabolic and immune transcriptomic shifts in pigs
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+9 more
wiley +1 more source
Zoonotic bacteria in the vicinity of animal farms as a factor disturbing the human microbiome: a review. [PDF]
Kozajda A, Miśkiewicz E, Jeżak K.
europepmc +1 more source
BioMGCore: A toolkit for detection of biological metabolites in microbiome
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+5 more
wiley +1 more source
Prophages: an integral but understudied component of the human microbiome. [PDF]
Inglis LK, Roach MJ, Edwards RA.
europepmc +1 more source