Evidence map›Paper›PMID 40487611›Full record

ReviewWorld journal of diabetes2025

Targeting gut microbiota and its associated metabolites as a potential strategy for promoting would healing in diabetes.

Ling Xiong, Ya-Xin Huang, Lan Mao, Yong Xu, Yong-Qiong Deng

Abstract readReview
In one paragraph

Review in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ling XiongDepartment of Dermatology & STD, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan Province, China.
Ya-Xin HuangDepartment of Dermatology & STD, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan Province, China.
Lan MaoDepartment of Dermatology & STD, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan Province, China.
Yong XuDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan Province, China.
Yong-Qiong DengDepartment of Dermatology & STD, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu 610000, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impaired healing of diabetic wounds is one of the most important complications of diabetes, often leading to lower limb amputations and incurring significant economic and psychosocial costs. Unfortunately, there are currently no effective prevention or treatment strategies available. Recent research has reported that an imbalance in the gut microbiota, known as dysbiosis, was linked to the onset of type 2 diabetes, as well as the development and progression of diabetic complications. Indeed, the gut microbiota has emerged as a promising therapeutic approach for treating type 2 diabetes and related diseases. However, there is few of literatures specifically discussing the relationship between gut microbiota and diabetic wounds. This review aims to explore the potential role of the gut microbiota, especially probiotics, and its associated byproducts such as short chain fatty acids, bile acids, hydrogen sulfide, and tryptophan metabolites on wound healing to provide fresh insights and novel perspectives for the treatment of chronic wounds in diabetes.

Indexed as

Bile acidsGut microbiotaHydrogen sulfideShort chain fatty acidsTryptophanType 2 diabetesWound healing

Identifiers

PMID40487611
PMCPMC12142175

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.