Evidence map›Paper›PMID 37877503›Full record

ReviewCurrent medicinal chemistry2025

DsbA-L: A Promising Therapeutic Target for Metabolic Diseases.

Ming Yang, Shilu Luo, Jinfei Yang, Wei Chen, Liyu He, Di Liu, Xi Wang, Li Xiao, Lin Sun

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Ming YangDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China.
Shilu LuoDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China.
Jinfei YangDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China.
Wei ChenDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China.
Liyu HeDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China.
Di LiuDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China.
Xi WangDepartment of Nutrition, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Li XiaoDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China.
Lin SunDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China.

Funding

Natural Science Foundation of Hunan Province 2021JC0003
6 · The paper itself

Abstract

The increasing incidence of metabolic diseases, including obesity and diabetes, is a serious social public problem. Therefore, there is an urgent need to find effective prevention and treatment measures for these diseases. DsbA-L is a protein that is widely expressed in many tissues and is closely related to metabolism. Emerging evidence shows that DsbA-L plays an important role in antioxidative stress, promoting the synthesis and secretion of adiponectin and maintaining mitochondrial homeostasis, and the abnormalities of these functions are also closely related to the occurrence and development of metabolic diseases. Here, we reviewed the tissue expression patterns and regulatory factors of DsbA-L, summarized its biological functions and the current research progress of DsbA-L in metabolic diseases, and found that DsbA-L may be a promising target for metabolic diseases.

Indexed as

Metabolic DiseasesAdiponectinAnimalsHumansMitochondriaOxidative StressAdiponectinantioxidative stress.diabetesDsbA-Lkidneymetabolic diseasesobesity

Identifiers

PMID37877503

What Socratic holds

Textmetadata
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 Socratic graph.