Evidence map›Paper›PMID 38690006›Full record

ArticleHealth science reports2024

Transcriptomic analysis reveals the crosstalk between type 2 diabetes and chronic pancreatitis.

Youlan Chen, Lixiao Hao, Jun Cong, Jianmei Ji, Yancheng Dai, Li Xu, Biao Gong

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 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, top 89% of its field
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
4 · The record

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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

7 authors at 1 institution in 1 country.

Youlan ChenInstitute of Integrated Traditional Chinese and Western Medicine Digestive Diseases, Shuguang Hospital Shanghai University of Traditional Chinese Medicine Shanghai China.ORCID 0000-0002-4304-5693
Lixiao HaoDepartment of Gastroenterology, Shuguang Hospital Shanghai University of Traditional Chinese Medicine Shanghai China.
Jun CongDepartment of Gastroenterology, Shuguang Hospital Shanghai University of Traditional Chinese Medicine Shanghai China.
Jianmei JiDepartment of Gastroenterology, Shuguang Hospital Shanghai University of Traditional Chinese Medicine Shanghai China.
Yancheng DaiDepartment of Gastroenterology, Shanghai Traditional Chinese Medicine Integrated Hospital Shanghai University of Traditional Chinese Medicine Shanghai China.
Li XuDepartment of Gastroenterology, Shuguang Hospital Shanghai University of Traditional Chinese Medicine Shanghai China.
Biao GongInstitute of Integrated Traditional Chinese and Western Medicine Digestive Diseases, Shuguang Hospital Shanghai University of Traditional Chinese Medicine Shanghai China.ORCID 0000-0001-6671-8857
Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Mounting evidence highlights a strong association between chronic pancreatitis (CP) and type 2 diabetes (T2D), although the exact mechanism of interaction remains unclear. This study aimed to investigate the crosstalk genes and pathogenesis between CP and T2D. Methods: Transcriptomic gene expression profiles of CP and T2D were extracted from Gene Expression Omnibus, respectively, and the common differentially expressed genes (DEGs) were subsequently identified. Further analysis, such as Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein-protein interaction, transcription factors (TFs), microRNA (miRNAs), and candidate chemicals identification, was performed to explore the possible common signatures between the two diseases. Results: In total, we acquired 281 common DEGs by interacting CP and T2D datasets, and identified 10 hub genes using CytoHubba. GO and KEGG analyses revealed that endoplasmic reticulum stress and mitochondrial dysfunction were closely related to these common DEGs. Among the shared genes, Conclusion: This study provides evidence that there are shared genes and pathological signatures between CP and T2D. The genes

Indexed as

chronic pancreatitiscommon differentially expressed geneshub genestranscriptomic analysistype 2 diabetes

Identifiers

PMID38690006
PMCPMC11058262
OpenAlexW4396498237

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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.