Evidence map›Paper›PMID 38188879›Full record

ArticleFrontiers in nutrition2023

Fabp5 is a common gene between a high-cholesterol diet and acute pancreatitis.

Minhao Qiu, Fangfang Cai, Yining Huang, Liang Sun, Jianmin Li, Wei Wang, Zarrin Basharat, Maddalena Zippi, Hemant Goyal, Jingye Pan and 1 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2023. 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

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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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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

11 authors.

Minhao QiuDepartment of Gastroenterology and Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Fangfang CaiSchool of Mental Health, Wenzhou Medical University, Wenzhou, China.
Yining HuangDepartment of Gastroenterology and Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Liang SunDepartment of Gastroenterology and Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Jianmin LiDepartment of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Wei WangSchool of Mental Health, Wenzhou Medical University, Wenzhou, China.
Zarrin BasharatAlpha Genomics (Private) Limited, Rawalpindi, Pakistan.
Maddalena ZippiUnit of Gastroenterology and Digestive Endoscopy, Sandro Pertini Hospital, Rome, Italy.
Hemant GoyalBorland Groover Clinic, Baptist Medical Center, Jacksonville, FL, United States.
Jingye PanIntensive Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Wandong HongDepartment of Gastroenterology and Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Hypercholesterolemia has been identified as risk factor for severe acute pancreatitis (AP). We aimed to identify the common differentially expressed genes (DEGs) between a high-cholesterol diet and AP. Methods: We retrived gene expression profiles from the GEO database. DEGs were assessed using GEO2R. For AP hub genes, we conducted functional enrichment analysis and protein-protein interaction (PPI) analysis. GeneMANIA and correlation analysis were employed to predict potential DEG mechanisms. Validation was done across various healthy human tissues, pancreatic adenocarcinoma, peripheral blood in AP patients, and Sprague-Dawley rats with AP. Results: The gene "Fabp5" emerged as the sole common DEG shared by a high-cholesterol diet and AP. Using the 12 topological analysis methods in PPI network analysis, Rela, Actb, Cdh1, and Vcl were identified as hub DEGs. GeneMANIA revealed 77.6% physical interactions among Fabp5, TLR4, and Rela, while genetic correlation analysis indicated moderate associations among them. Peripheral blood analysis yielded area under the ROC curve (AUC) values of 0.71, 0.63, 0.74, 0.64, and 0.91 for Fabp5, TLR4, Actb, Cdh1 genes, and artificial neural network (ANN) model respectively, in predicting severe AP. Conclusion: Fabp5 emerged as the common DEG connecting a high-cholesterol diet and AP. Rela was highlighted as a crucial hub gene in AP. Genetic interactions were observed among Fabp5, TLR4, and Rela. An ANN model consisting of Fabp5, TLR4, Actb, and Cdh1 was helpful in predicting severe AP.

Indexed as

acute pancreatitisbioinformatic analysisdifferentially expressed genehypercholesterolemiamicroarray

Identifiers

PMID38188879
PMCPMC10768664

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