Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

The Gut Microbiota and Diabetes : Research, Translation, and Clinical Applications—2023 Diabetes, Diabetes Care, and Diabetologia Expert Forum

Byndloss, Mariana ; Devkota, Suzanne ; Duca, Frank ; Niess, Jan Hendrik ; Nieuwdorp, Max ; Orho-Melander, Marju LU ; Sanz, Yolanda ; Tremaroli, Valentina and Zhao, Liping (2024) In Diabetes Care 47(9). p.1491-1508
Abstract

This article summarizes the state of the science on the role of the gut microbiota (GM) in diabetes from a recent international expert forum organized by Diabetes, Diabetes Care, and Diabetologia, which was held at the European Association for the Study of Diabetes 2023 Annual Meeting in Hamburg, Germany. Forum participants included clinicians and basic scientists who are leading investigators in the field of the intestinal microbiome and metabolism. Their conclusions were as follows: 1) the GM may be involved in the pathophysiology of type 2 diabetes, as microbially produced metabolites associate both positively and negatively with the disease, and mechanistic links of GM functions (e.g., genes for butyrate pro-duction) with glucose... (More)

This article summarizes the state of the science on the role of the gut microbiota (GM) in diabetes from a recent international expert forum organized by Diabetes, Diabetes Care, and Diabetologia, which was held at the European Association for the Study of Diabetes 2023 Annual Meeting in Hamburg, Germany. Forum participants included clinicians and basic scientists who are leading investigators in the field of the intestinal microbiome and metabolism. Their conclusions were as follows: 1) the GM may be involved in the pathophysiology of type 2 diabetes, as microbially produced metabolites associate both positively and negatively with the disease, and mechanistic links of GM functions (e.g., genes for butyrate pro-duction) with glucose metabolism have recently emerged through the use of Mendelian randomization in humans; 2) the highly individualized nature of the GM poses a major research obstacle, and large cohorts and a deep-sequencing metagenomic approach are required for robust assessments of associations and causation; 3) because single–time point sampling misses intraindividual GM dynamics, future studies with repeated measures within individuals are needed; and 4) much future research will be required to determine the applicability of this expanding knowledge to diabetes diagnosis and treatment, and novel technologies and improved computational tools will be important to achieve this goal.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Diabetes Care
volume
47
issue
9
pages
18 pages
publisher
American Diabetes Association
external identifiers
  • scopus:85202790108
  • pmid:38996003
ISSN
0149-5992
DOI
10.2337/dci24-0052
language
English
LU publication?
yes
id
3f3d7496-9ef0-4d5c-a871-29daffbff344
date added to LUP
2024-11-26 12:11:08
date last changed
2025-07-09 19:37:57
@article{3f3d7496-9ef0-4d5c-a871-29daffbff344,
  abstract     = {{<p>This article summarizes the state of the science on the role of the gut microbiota (GM) in diabetes from a recent international expert forum organized by Diabetes, Diabetes Care, and Diabetologia, which was held at the European Association for the Study of Diabetes 2023 Annual Meeting in Hamburg, Germany. Forum participants included clinicians and basic scientists who are leading investigators in the field of the intestinal microbiome and metabolism. Their conclusions were as follows: 1) the GM may be involved in the pathophysiology of type 2 diabetes, as microbially produced metabolites associate both positively and negatively with the disease, and mechanistic links of GM functions (e.g., genes for butyrate pro-duction) with glucose metabolism have recently emerged through the use of Mendelian randomization in humans; 2) the highly individualized nature of the GM poses a major research obstacle, and large cohorts and a deep-sequencing metagenomic approach are required for robust assessments of associations and causation; 3) because single–time point sampling misses intraindividual GM dynamics, future studies with repeated measures within individuals are needed; and 4) much future research will be required to determine the applicability of this expanding knowledge to diabetes diagnosis and treatment, and novel technologies and improved computational tools will be important to achieve this goal.</p>}},
  author       = {{Byndloss, Mariana and Devkota, Suzanne and Duca, Frank and Niess, Jan Hendrik and Nieuwdorp, Max and Orho-Melander, Marju and Sanz, Yolanda and Tremaroli, Valentina and Zhao, Liping}},
  issn         = {{0149-5992}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{1491--1508}},
  publisher    = {{American Diabetes Association}},
  series       = {{Diabetes Care}},
  title        = {{The Gut Microbiota and Diabetes : Research, Translation, and Clinical Applications—2023 Diabetes, Diabetes Care, and Diabetologia Expert Forum}},
  url          = {{http://dx.doi.org/10.2337/dci24-0052}},
  doi          = {{10.2337/dci24-0052}},
  volume       = {{47}},
  year         = {{2024}},
}