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

Effects of metformin, saxagliptin and repaglinide on gut microbiota in high-fat diet/streptozocin-induced type 2 diabetic mice. | LitMetric

Effects of metformin, saxagliptin and repaglinide on gut microbiota in high-fat diet/streptozocin-induced type 2 diabetic mice.

BMJ Open Diabetes Res Care

Gerontology Institute of Anhui Province, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China

Published: May 2024

Introduction: There has been increasing evidence that the gut microbiota is closely related to type 2 diabetes (T2D). Metformin (Met) is often used in combination with saxagliptin (Sax) and repaglinide (Rep) for the treatment of T2D. However, little is known about the effects of these combination agents on gut microbiota in T2D.

Research Design And Methods: A T2D mouse model induced by a high-fat diet (HFD) and streptozotocin (STZ) was employed. The T2D mice were randomly divided into six groups, including sham, Met, Sax, Rep, Met+Sax and Met+Rep, for 4 weeks. Fasting blood glucose level, serum biochemical index, H&E staining of liver, Oil red O staining of liver and microbiota analysis by 16s sequencing were used to access the microbiota in the fecal samples.

Results: These antidiabetics effectively prevented the development of HFD/STZ-induced high blood glucose, and the combination treatment had a better effect in inhibiting lipid accumulation. All these dosing regimens restored the decreasing ratio of the phylum Bacteroidetes: Firmicutes, and increasing abundance of phylum Desulfobacterota, expect for Met. At the genus level, the antidiabetics restored the decreasing abundance of Muribaculaceae in T2D mice, but when Met was combined with Rep or Sax, the abundance of Muribaculaceae was decreased. The combined treatment could restore the reduced abundance of Prevotellaceae_UCG-001, while Met monotherapy had no such effect. In addition, the reduced Lachnospiraceae_NK4A136_group was well restored in the combination treatment groups, and the effect was much greater than that in the corresponding monotherapy group. Therefore, these dosing regimens exerted different effects on the composition of gut microbiota, which might be associated with the effect on T2D.

Conclusions: Supplementation with specific probiotics may further improve the hypoglycemic effects of antidiabetics and be helpful for the development of new therapeutic drugs for T2D.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11085777PMC
http://dx.doi.org/10.1136/bmjdrc-2023-003837DOI Listing

Publication Analysis

Top Keywords

gut microbiota
16
t2d mice
8
blood glucose
8
staining liver
8
combination treatment
8
dosing regimens
8
restored decreasing
8
abundance muribaculaceae
8
microbiota
6
t2d
6

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!