Evidence map›Paper›PMID 42909870›Full record

ArticleJournal of the Endocrine Society2026

Hippo signaling-linked circulating microRNA networks are associated with cardiovascular disease in type 2 diabetes.

Zein Mersini Besharat, Sofia Trocchianesi, Giuseppina Emanuela Grieco, Tanja Milena Autilio, Caterina Alfano, Angela Dardano, Daniela Fignani, Elena Splendiani, Anna Citarella, Claudia Sabato and 12 more

Abstract read
In one paragraph

Article in Journal of the Endocrine Society, 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

22 authors.

Zein Mersini BesharatDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.ORCID https://orcid.org/0000-0003-0317-9854
Sofia TrocchianesiDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.ORCID https://orcid.org/0000-0002-8157-2638
Giuseppina Emanuela GriecoDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.ORCID https://orcid.org/0000-0001-7325-6128
Tanja Milena AutilioDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.ORCID https://orcid.org/0000-0003-4092-1990
Caterina AlfanoDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Rome 00161, Italy.ORCID https://orcid.org/0000-0002-7296-8112
Angela DardanoDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa 56126, Italy.
Daniela FignaniDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.ORCID https://orcid.org/0000-0001-8803-5846
Elena SplendianiDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.ORCID https://orcid.org/0000-0003-4259-9093
Anna CitarellaDepartment of Life, Health and Health Professions Sciences, Link Campus University, Rome 00165, Italy.ORCID https://orcid.org/0000-0003-1290-4990
Claudia SabatoLaboratory of Preclinical and Translational Research, IRCCS CROB Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, PZ 85028, Italy.ORCID https://orcid.org/0000-0001-7533-4660
Zaira SpinelloDepartment of Life, Health and Health Professions Sciences, Link Campus University, Rome 00165, Italy.ORCID https://orcid.org/0000-0002-7016-6538
Giuseppina CatanzaroDepartment of Life, Health and Health Professions Sciences, Link Campus University, Rome 00165, Italy.ORCID https://orcid.org/0000-0001-8427-9691
Agnese PoDepartment of Radiological, Oncological & Pathological Sciences, Sapienza University of Rome, Rome 00161, Italy.ORCID https://orcid.org/0000-0002-9346-8782
Manuela PettiDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Rome 00161, Italy.ORCID https://orcid.org/0000-0002-0149-161X
Lorenzo FarinaDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Rome 00161, Italy.ORCID https://orcid.org/0000-0001-8314-6029
Mary Anna VenneriDepartment of Experimental Medicine, Sapienza University of Rome, Rome 00161, Italy.ORCID https://orcid.org/0000-0002-0687-8135
Davide LauroDepartment of Systems Medicine, Tor Vergata University, Rome 00133, Italy.ORCID https://orcid.org/0000-0002-8597-4415
Gian Paolo FadiniDepartment of Medicine, University of Padova, Padua 35121, Italy.ORCID https://orcid.org/0000-0002-6510-2097
Francesco DottaDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.ORCID https://orcid.org/0000-0003-4947-7478
Guido SebastianiDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.ORCID https://orcid.org/0000-0003-4374-8564
Andrea NataliDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa 56126, Italy.ORCID https://orcid.org/0000-0002-8465-7717
Elisabetta FerrettiDepartment of Systems Medicine, Tor Vergata University, Rome 00133, Italy.ORCID https://orcid.org/0000-0001-7265-6429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Type 2 diabetes (T2D) markedly increases the risk of cardiovascular disease (CVD). Circulating microRNAs (miRNAs) are promising biomarkers for patient stratification and may provide mechanistic insight into dysregulated pathways in T2D-associated CVD. Objective: This work aimed to identify circulating miRNA signatures in T2D patients with CVD (T2D-CVD) vs T2D patients without CVD using a novel network-based medicine approach. Methods: Patients (n = 110) were stratified into T2D and T2D-CVD groups based on the absence or presence of macrovascular complications. Circulating miRNAs, proinflammatory cytokines, and growth factors were profiled in a discovery cohort (n = 80) and confirmed in a validation cohort (n = 30). Differential expression, network-based approaches, and pathway enrichment analyses identified miRNA signatures, coexpression communities, hub miRNAs, and associated signaling pathways. Results: T2D-CVD patients showed a set of elevated inflammatory cytokines and circulating miRNAs. Particularly, 19 miRNAs were differentially expressed between T2D-CVD and T2D patients. Pathway enrichment of these miRNAs highlighted Hippo signaling together with transforming growth factor-β, mechanistic target of rapamycin, Wnt, and PI3K-Akt pathways. Network analysis identified a coexpression community of 34 miRNAs, including hub miRNAs let-7a-5p, miR-132-3p, and miR-1306-3p, all linked to Hippo signaling. Key miRNA interactions were validated, and differentially expressed and hub miRNAs both correlated with inflammatory mediators such as PAR-1, CXCL1, and NEMO, which are linked to Hippo pathway regulation. Conclusion: This study identified a network of circulating miRNAs associated with inflammatory cytokines and Hippo signaling pathway in T2D-CVD. These findings reveal novel molecular aspects of the systemic inflammation characterizing T2D-CVD and support the potential of Hippo-related circulating miRNAs as mechanistic biomarkers for cardiovascular risk in T2D.

Indexed as

cardiovascular diseasecirculating miRNAcoexpression networkHippo signaling pathwaytype 2 diabetes

Identifiers

PMID42909870
PMCPMC13684395

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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.