Evidence map›Paper›PMID 39738583›Full record

ArticleScientific reports2024

HMGCS2 and AMACR as potential targets linking mitochondrial dysfunction and ulcerative colitis.

Rui Zhu, Xinyu Bai, Zhangqin Li, Hao Liang, Huixian Song, Lifang Chen, Yinglei Miao, Fengrui Zhang, Junkun Niu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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.

Rui ZhuDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Xinyu BaiDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Zhangqin LiDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Hao LiangDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Huixian SongDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Lifang ChenXishuangbanna Dai Autonomous Prefecture People's Hospital, Jinghong, China.
Yinglei MiaoDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Fengrui ZhangDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China. zhangfengrui@kmmu.edu.cn.
Junkun NiuDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China. niujunkun@kmmu.edu.cn.

Funding

Applied by Basic Research Projects of Yunnan Province 202201AY070001-048Applied by Basic Research Projects of Yunnan Province 202201AY070001-086Applied by Basic Research Projects of Yunnan Province 202301AS070027National Natural Science Foundation of China 82170550National Natural Science Foundation of China 82260108National Natural Science Foundation of China 82360107Yunnan Ten Thousand Talents Plan Young & Elite Talents Project; Youth Talents Program of Yunnan Province RLQB20220004
6 · The paper itself

Abstract

Ulcerative colitis (UC) is characterised notably by an imbalance in intestinal mucosal homeostasis. Although mitochondrial dysfunction has been identified as a potential contributor to this imbalance, it remains an incomplete understanding. Consequently, further investigation into the role of mitochondria in UC is warranted. The study focusing on the GSE87466 dataset for differential gene expression analysis. Mitochondria-related genes were sourced from the MitoCart3.0 database. Weighted Gene Co-expression Network Analysis (WGCNA) was employed to identify hub genes. The intersection of DEGs, hub genes, and mitochondria-related genes facilitated the identification of 14 mitochondria-related differentially expressed genes (MitoDEGs). Three machine learning algorithms were then applied to select signature MitoDEGs specific to UC: HMGCS2 and AMACR. They have decreased expression in UC patients and have a high diagnostic value for UC. In the inflammatory environment, knockout of both HMGCS2 and AMACR showed disruption of mitochondrial structure and function. Among them, the AMACR knockdown group had an increased number of damaged mitochondria and a significant reduction in the length, area and circumference of MAMs. Therefore, the study identified two new signature MitoDEGs in UC. HMGCS2 and AMACR provide insights into the interplay between mitochondrial dysfunction and UC intestinal mucosal homeostasis.

Indexed as

Colitis, UlcerativeMitochondriaAnimalsGene Expression ProfilingGene Regulatory NetworksHumansIntestinal MucosaMachine LearningMiceImmune infiltrationMachine learningMitochondriaUlcerative colitisWGCNA

Identifiers

PMID39738583
PMCPMC11686238

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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.