A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Intestinal microbial 16S sequencing and LC-MS metabonomic analysis revealed differences between young and old cats. | LitMetric

With the progress of society, the health problems of pets have attracted more and more attention. Recent studies have shown that intestinal microflora and related fecal metabolites play a crucial role in the healthy growth of cats. However, the potential role and related metabolic characteristics of gut microbiota in different age groups of pet cats need to be further clarified. 16S rRNA gene sequencing was used to analyze the intestinal microbial composition of young and old cats. LC-MS metabonomic analysis is used to characterize the changes in the metabolic spectrum in feces. The potential relationship between intestinal microorganisms and metabolites, as well as the differences in different age groups, were studied. The species composition of intestinal microflora in the young group and old group is significantly different, T-test algorithm shows 36 different ASVs and 8 different genuses, while the Wilcoxon algorithm shows 81 different ASVs and 17 different genuses. The metabolomics analysis identified 537 kinds of fecal metabolites, which are rich in differences between young and old cats, and may be potential biomarkers indicating the health of cats. 16S rRNA analysis showed significant differences in fructose and mannose metabolism, while metabonomics KEGG analysis showed significant difference in choline metabolism in cancer. Our study compared the differences between the intestinal microbiome and fecal metabolites in young and old cats. This difference provides a new direction for further exploring the relationship between the composition and metabolism of intestinal microbiota in cats of different age groups. It also provides a reference for cat health research.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220381PMC
http://dx.doi.org/10.1016/j.heliyon.2023.e16417DOI Listing

Publication Analysis

Top Keywords

young cats
16
fecal metabolites
12
age groups
12
intestinal microbial
8
lc-ms metabonomic
8
metabonomic analysis
8
differences young
8
cats
8
intestinal microflora
8
cats potential
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!