Evidence map›Paper›PMID 39329971›Full record

ArticleCurrent issues in molecular biology2024

Integrative Analyses of Mitophagy-Related Genes and Mechanisms Associated with Type 2 Diabetes in Muscle Tissue.

Wangjia Mao, Guannan Zong, Yuan Gao, Shen Qu, Xiaoyun Cheng

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2024. 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. Article
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.

Wangjia MaoDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes, Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai Center of Thyroid Diseases, School of Medicine, Tongji University, Shanghai 200072, China.ORCID 0000-0003-1161-7949
Guannan ZongDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China.ORCID 0009-0005-3671-1781
Yuan GaoSchool of Medicine, Tongji University, Shanghai 200092, China.
Shen QuDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes, Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai Center of Thyroid Diseases, School of Medicine, Tongji University, Shanghai 200072, China.ORCID 0000-0003-0811-7070
Xiaoyun ChengDepartment of Endocrinology and Metabolism, Division of Metabolic Surgery for Obesity and Diabetes, Shanghai Tenth People's Hospital, Institute of Obesity, Institute of Thyroid Diseases, Shanghai Center of Thyroid Diseases, School of Medicine, Tongji University, Shanghai 200072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) represents the most prevalent metabolic condition that is primarily distinguished by a range of metabolic imbalances, including hyperglycemia, hyperlipidemia, and insulin resistance (IR). Currently, mitophagy has become increasingly recognized as an important process involved in the pathogenesis and progression of T2D. Therefore, it is very important to explore the role of mitochondrial damage and autophagy-related genes in T2D. This study investigated the role of mitophagy in the development of T2D, and 12 MRHGs associated with T2D were identified using bioinformatic analysis and machine learning methods. Our findings provide the first insight into mitophagy-related genes and their mechanisms in T2D. This study aimed to investigate possible molecular targets for therapy and the underlying mechanisms involved in T2D. This information might be useful to further elucidate the pathogenesis of T2D-related diseases and identify more optimal therapeutic approaches.

Indexed as

autophagy-related genesmitophagymolecular mechanismspathogenesisType 2 diabetes

Identifiers

PMID39329971
PMCPMC11430763

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.