Results 11 to 20 of about 308,893 (299)

Control of the gut microbiome by fecal microRNA [PDF]

open access: yesMicrobial Cell, 2016
Since their discovery in the early 90s, microRNAs (miRNAs), small non-coding RNAs, have mainly been associated with posttranscriptional regulation of gene expression on a cell-autonomous level. Recent evidence has extended this role by adding inter-species communication to the manifold functional range.
Liu, Shirong, Weiner, Howard
openaire   +7 more sources

Dysbiotic Fecal Microbiome in HIV-1 Infected Individuals in Ghana [PDF]

open access: yesFrontiers in Cellular and Infection Microbiology, 2021
HIV-1 infected individuals under antiretroviral therapy can control viremia but often develop non-AIDS diseases such as cardiovascular and metabolic disorders.
Prince Kofi Parbie   +27 more
doaj   +2 more sources

Sphingolipid metabolism potential in fecal microbiome and bronchiolitis in infants: a case–control study [PDF]

open access: yesBMC Research Notes, 2017
Objective Emerging evidence demonstrated that the structure of fecal microbiome is associated with the likelihood of bronchiolitis in infants. However, no study has examined functional profiles of fecal microbiome in infants with bronchiolitis.
Kohei Hasegawa   +6 more
doaj   +2 more sources

Effect of interferon on broilers' fecal microbiome composition [PDF]

open access: yesJournal of Advanced Veterinary and Animal Research
<b>Objective:</b> The purpose of our study was to investigate the effect of chicken interferon on the intestinal microbiota of broiler chickens. <b>Materials and Methods:</b> The study used next-generation sequencing on the Ion Torrent pragmatic general multicast platform to target the V3 16S ribosomal ribonucleic acid ...
Inna Burakova   +8 more
openaire   +5 more sources

Effects of meglumine antimoniate and allopurinol treatment on the fecal microbiome profile in dogs with leishmaniosis. [PDF]

open access: yesAnim Microbiome
The combination of meglumine antimoniate and allopurinol is considered one of the most effective treatments for canine leishmaniosis caused by Leishmania infantum.
Martí-Carreras J   +8 more
europepmc   +2 more sources

Using fecal microbiota as biomarkers for predictions of performance in the selective breeding process of pedigree broiler breeders.

open access: yesPLoS ONE, 2019
Much work has been dedicated to identifying members of the microbial gut community that have potential to augment the growth rate of agricultural animals including chickens. Here, we assessed any correlations between the fecal microbiome, a proxy for the
Sandra Díaz-Sánchez   +6 more
doaj   +2 more sources

Collecting Fecal Samples for Microbiome Analyses in Epidemiology Studies [PDF]

open access: yesCancer Epidemiology, Biomarkers & Prevention, 2016
Abstract Background: The need to develop valid methods for sampling and analyzing fecal specimens for microbiome studies is increasingly important, especially for large population studies. Methods: Some of the most important attributes of any sampling method are reproducibility, stability, and accuracy.
Sinha, Rashmi   +9 more
openaire   +6 more sources

The fecal bacterial microbiome of the Kuhl’s pipistrelle bat (Pipistrellus kuhlii) reflects landscape anthropogenic pressure [PDF]

open access: yes, 2023
BACKGROUND: Anthropogenic disturbance has the potential to negatively affect wildlife health by altering food availability and diet composition, increasing the exposure to agrochemicals, and intensifying the contact with humans, domestic animals, and ...
Molleda, Raúl   +18 more
core   +1 more source

Fecal Microbiome in Epidemiologic Studies—Response [PDF]

open access: yesCancer Epidemiology, Biomarkers & Prevention, 2016
We thank Drew and colleagues ([1][1]) for their interest in our recent publication ([2][2]) and share in their enthusiasm for identifying “a straight forward self-collection procedure” for “multiple molecular analyses.” Fecal collection and sampling have continued to be a topic of study,
Rashmi, Sinha   +8 more
openaire   +2 more sources

G2S: A New Deep Learning Tool for Predicting Stool Microbiome Structure From Oral Microbiome Data

open access: yesFrontiers in Genetics, 2021
Deep learning methodologies have revolutionized prediction in many fields and show the potential to do the same in microbial metagenomics. However, deep learning is still unexplored in the field of microbiology, with only a few software designed to work ...
Simone Rampelli   +6 more
doaj   +1 more source

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