Evidence map›Paper›PMID 37383594›Full record

ArticleWorld journal of diabetes2023

Comprehensive analysis of endoplasmic reticulum stress-related mechanisms in type 2 diabetes mellitus.

Bo Liang, Shu-Wen Chen, Yuan-Yuan Li, Shun-Xiao Zhang, Yan Zhang

Abstract read
In one paragraph

Article in World journal of diabetes, 2023. 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.

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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

5 authors.

Bo LiangDepartment of Nephrology, The Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing 400037, China.
Shu-Wen ChenDepartment of Endocrinology, Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200000, China.
Yuan-Yuan LiDepartment of Endocrinology, Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200000, China.
Shun-Xiao ZhangDepartment of Endocrinology, Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200000, China.
Yan ZhangDepartment of Endocrinology, Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200000, China. yan_2999bs@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe endoplasmic reticulum (ER) is closely related to a wide range of cellular functions and is a key component to maintain and restore metabolic health. Type 2 diabetes mellitus (T2DM) is a serious threat to human health, but the ER stress (ERS)-related mechanisms in T2DM have not been fully elucidated.

aimTo identify potential ERS-related mechanisms and crucial biomarkers in T2DM.

methodsWe conducted gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) in myoblast and myotube form GSE166502, and obtained the differentially expressed genes (DEGs). After intersecting with ERS-related genes, we obtained ERS-related DEGs. Finally, functional analyses, immune infiltration, and several networks were established.

resultsThrough GSEA and GSVA, we identified several metabolic and immune-related pathways. We obtained 227 ERS-related DEGs and constructed several important networks that help to understand the mechanisms and treatment of T2DM. Finally, memory CD4

conclusionThis study revealed ERS-related mechanisms in T2DM, which might contribute to new ideas and insights into the mechanisms and treatment of T2DM.

Indexed as

BiomarkersEndoplasmic reticulum stressMemory CD4+ T cellsType 2 diabetes mellitus

Identifiers

PMID37383594
PMCPMC10294059

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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.