Evidence mapPaperPMID 42017432Full record

ArticleJournal of diabetes investigation2026

Urinary extracellular vesicle miRNA signature reflects pancreatic islet stress in type 2 diabetes.

Md Zubbair Malik, Mohammed Dashti, Anwar Mohammad, Mohamed Al-Sayegh, Mohammed Al-Onaizi, Rasheeba Nizam, Khadija M Dashti, Mohamed Abu-Farha, Jehad Abubaker, Fahd Al-Mulla and 1 more

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Article in Journal of diabetes investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Md Zubbair MalikDepartment of Translational Research, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID https://orcid.org/0000-0001-6693-0401
Mohammed DashtiDepartment of Translational Research, Dasman Diabetes Institute, Kuwait City, Kuwait.
Anwar MohammadDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID https://orcid.org/0000-0001-6318-8707
Mohamed Al-SayeghBiology Division, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Mohammed Al-OnaiziDepartment of Translational Research, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID https://orcid.org/0000-0003-3934-4233
Rasheeba NizamDepartment of Translational Research, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID https://orcid.org/0000-0002-4762-9469
Khadija M DashtiDepartment of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center (HSC), Kuwait University, Jabriya, Kuwait.
Mohamed Abu-FarhaDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait.
Jehad AbubakerDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID https://orcid.org/0000-0003-0681-7305
Fahd Al-MullaDepartment of Translational Research, Dasman Diabetes Institute, Kuwait City, Kuwait.
Hamad AliDepartment of Translational Research, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID https://orcid.org/0000-0001-6623-3374

Funding

Kuwait Foundation for the Advancement of Sciences PR17-13MM-07Kuwait Foundation for the Advancement of Sciences RA HM 2019-008Kuwait Foundation for the Advancement of Sciences RA HM-2019-030
6 · The paper itself

Abstract

introductionType 2 diabetes (T2D) is a progressive metabolic disorder characterized by insulin resistance and progressive β-cell dysfunction. Early detection remains critical to prevent long-term complications. Urinary extracellular vesicle (ECV) microRNAs (miRNAs) have emerged as stable, non-invasive biomarkers with the potential to reflect systemic molecular alterations associated with metabolic disease.

methodsWe analyzed previously generated urinary ECV miRNA sequencing data from a well-characterized cohort of 68 adults (40 T2D and 28 healthy controls). Differentially expressed miRNAs were identified and evaluated for diagnostic performance using receiver operating characteristic (ROC) analysis and supervised machine learning models with 10-fold cross-validation. Independent external validation was performed to assess generalizability. Cross-tissue validation was conducted using publicly available datasets from pancreatic islets, blood, liver, and adipose tissue. Predicted target genes were examined across tissues, and miRNA-mRNA interaction networks with pathway enrichment analyses were performed to explore functional relevance.

resultsForty-six miRNAs were significantly dysregulated in urinary ECVs from T2D patients compared with controls. Network bottleneck centrality analysis prioritized five key miRNAs (miR-320a, miR-16-5p, miR-125b-5p, miR-26a-5p, and miR-30c-5p). Individual miRNAs demonstrated moderate discriminatory capacity (AUC 0.73-0.81), while the combined panel improved performance (internal AUC = 0.87; external AUC = 0.86). Dysregulated urinary miRNA patterns partially mirrored expression changes in pancreatic islets and other metabolic tissues. Target gene analysis revealed tissue-specific alterations in key metabolic regulators, including PTEN, IGF1R, HMGA1, VEGFA, MCL1, CCND2, BTG2, and SMAD4.

conclusionUrinary ECV miRNAs reflect molecular alterations associated with T2D and represent promising complementary, non-invasive biomarkers with mechanistic relevance to disease progression.

Indexed as

Diabetes Mellitus, Type 2Extracellular VesiclesIslets of LangerhansMicroRNAsAdultBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedBiomarkersMicroRNAsmiRNAPancreatic isletT2D

Identifiers

PMID42017432
PMCPMC13327339

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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 Socratic graph.