Evidence map›Paper›PMID 38742851›Full record

ArticleJournal of cellular and molecular medicine2024

Exploration of shared gene signatures and molecular mechanisms between type 2 diabetes and osteoporosis.

Ashuai Du, Rong Xu, Qinglong Yang, Yingxue Lu, Xinhua Luo

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ashuai DuDepartment of Infectious Diseases, Guizhou Provincial People's Hospital, Guiyang, China.ORCID 0000-0002-1818-0906
Rong XuDepartment of Pathology, The First People's Hospital of Changde City, Changde, China.
Qinglong YangDepartment of General Surgery, Guizhou Provincial People's Hospital, Guiyang, China.
Yingxue LuDepartment of Infectious Diseases, Guizhou Provincial People's Hospital, Guiyang, China.
Xinhua LuoDepartment of Infectious Diseases, Guizhou Provincial People's Hospital, Guiyang, China.

Funding

Science Basic Research Fund and Guizhou Science and Technology ZK[2021]-013
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2D) and osteoporosis (OP) are systemic metabolic diseases and often coexist. The mechanism underlying this interrelationship remains unclear. We downloaded microarray data for T2D and OP from the Gene Expression Omnibus (GEO) database. Using weighted gene co-expression network analysis (WGCNA), we identified co-expression modules linked to both T2D and OP. To further investigate the functional implications of these associated genes, we evaluated enrichment using ClueGO software. Additionally, we performed a biological process analysis of the genes unique in T2D and OP. We constructed a comprehensive miRNA-mRNA network by incorporating target genes and overlapping genes from the shared pool. Through the implementation of WGCNA, we successfully identified four modules that propose a plausible model that elucidates the disease pathway based on the associated and distinct gene profiles of T2D and OP. The miRNA-mRNA network analysis revealed co-expression of PDIA6 and SLC16A1; their expression was upregulated in patients with T2D and islet β-cell lines. Remarkably, PDIA6 and SLC16A1 were observed to inhibit the proliferation of pancreatic β cells and promote apoptosis in vitro, while downregulation of PDIA6 and SLC16A1 expression led to enhanced insulin secretion. This is the first study to reveal the significant roles of PDIA6 and SLC16A1 in the pathogenesis of T2D and OP, thereby identifying additional genes that hold potential as indicators or targets for therapy.

Indexed as

Diabetes Mellitus, Type 2Gene Expression ProfilingGene Regulatory NetworksMicroRNAsOsteoporosisApoptosisCell ProliferationGene Expression RegulationHumansInsulinInsulin-Secreting CellsRNA, MessengerTranscriptomeInsulinMicroRNAsRNA, MessengerosteoporosisPDIA6SLC16A1type 2 diabetesWGCNA

Identifiers

PMID38742851
PMCPMC11092535

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Registered trials

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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.