Evidence mapPaperPMID 41814272Full record

ReviewCell communication and signaling : CCS2026

Harnessing exosomal long non-coding RNAs as a new frontier for molecular diagnostics and therapeutics in diabetes mellitus.

Heba M Midan, Eman F Wasfey, Ahmed S Doghish, Mohamed M Kamal, Dina H Kassem

Abstract readReview
In one paragraph

Review in Cell communication and signaling : CCS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Heba M MidanDepartment of Biochemistry, Faculty of Pharmacy, Badr University in Cairo (BUC), Cairo, Badr City, 11829, Egypt.
Eman F WasfeyDepartment of Biochemistry and Molecular Biology, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
Ahmed S DoghishDepartment of Biochemistry, Faculty of Pharmacy, Badr University in Cairo (BUC), Cairo, Badr City, 11829, Egypt.
Mohamed M KamalDepartment of Biochemistry and Molecular Biology, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
Dina H KassemDepartment of Biochemistry and Molecular Biology, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt. dina_kassem@pharma.asu.edu.eg.ORCID http://orcid.org/0000-0001-5102-3235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are emerging as dynamic regulators of cellular crosstalk. Exosomal long non-coding RNAs (Exo-lncRNAs) are now recognized as key molecular mediators of diabetes mellitus. These molecules are interrelated with β-cell function, insulin resistance, inflammation, and diabetic complications. Key diabetes-related exo-lncRNAs include exo-P3134, which supports β-cell compensation, as well as exo-MALAT1 and exo-GAS5, which are regulators of insulin resistance and β-cell dysfunction. This review unravels the complex interplay between exo-lncRNAs and the hallmarks of diabetes, across disease pathogenesis and complications. It also spotlights the unprecedented potential of exo-lncRNAs as non-invasive biomarkers and next-generation therapeutic targets in precision medicine in diabetes. By combining mechanistic and translational evidence, this review offers the first integrative framework that positions exo-lncRNAs at the center of diabetes progression and opens new avenues for translational applications.

Indexed as

Diabetes MellitusExosomesMolecular Diagnostic TechniquesRNA, Long NoncodingAnimalsBiomarkersHumansBiomarkersRNA, Long NoncodingAnd biomarkersDiabetes mellitusExosomesExtracellular vesiclesInsulin resistanceLnc-RNAsβ-cell dysfunction

Identifiers

PMID41814272
PMCPMC13063494

What Socratic holds

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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 Socratic graph.