Results 51 to 60 of about 8,216,381 (305)

Age and Sex Modulate Albumin, Glomerular Filtration Rate, and Lipid Profile in Type 2 Diabetic Patients [PDF]

open access: yesAl-Anbar Medical Journal
Background: Metabolic factors associated with type 2 diabetes mellitus (T2DM) remain poorly understood, especially in the context of population-specific influences and varying environmental settings.Objectives: To investigate the modulation of albumin ...
Aphrodite Tchewonpi Choumessi   +5 more
doaj   +1 more source

CIDER: an interpretable meta-clustering framework for single-cell RNA-seq data integration and evaluation

open access: yesGenome Biology, 2021
Clustering of joint single-cell RNA-Seq (scRNA-Seq) data is often challenged by confounding factors, such as batch effects and biologically relevant variability.
Zhiyuan Hu   +2 more
doaj   +1 more source

Iron Metabolism in Children: Confounding Factors [PDF]

open access: yesFood and Nutrition Bulletin, 2007
Characterization of iron metabolism in infants and children may be confounded by the diverse effects of developmental, genetic, and acquired influences on iron metabolism and laboratory measurements of iron status, especially in areas with intense perennial transmission of Plasmodium falciparum malaria.
openaire   +2 more sources

Associations with HDLI for confounding factors.

open access: yes, 2016
Associations with HDLI for confounding factors.
Hae-Kwan Cheong (704154)   +16 more
core   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

Confounding factors used in multivariate analysis.

open access: yes, 2016
Confounding factors used in multivariate analysis.
Guangping Li (2261341)   +5 more
core   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Commentary: BRAIN NETWORKS. Correlated Gene Expression Supports Synchronous Activity in Brain Networks. Science 348, 1241–4

open access: yesFrontiers in Neuroscience, 2017
A recent report claims that functional brain networks defined with resting-state functional magnetic resonance imaging (fMRI) can be recapitulated with correlated gene expression (i.e., high within-network tissue-tissue “strength fraction,” SF ...
Spiro P. Pantazatos   +2 more
doaj   +1 more source

Results after adjusting for potential confounding factors.

open access: yes, 2012
Results after adjusting for potential confounding factors.
Shuo Wu (116238)   +12 more
core   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

open access: yesFEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta   +3 more
wiley   +1 more source

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