# Circulating miRNA Signatures Associated with Atherosclerosis and Cardiometabolic Comorbidities in People with HIV

**Authors:** Marina Martinez-Velasco, José Francisco Sánchez-Herrero, Laura Ibañez, Pablo Velli, Francisco Manuel Muñoz-Lopez, Mireia Cairó, Angeles Jaen, Roser Font, Xavier Martinez-Lacasa, Josep Royo, Joaquim Peraire, Naya Faro-Míguez, Antonio Rivero, Julián Olalla, Pilar Ruiz-Seco, Luis Fernando López-Cortés, Lauro Sumoy, Marta Massanella, David Dalmau

PMC · DOI: 10.3390/medsci14010085 · Medical Sciences · 2026-02-12

## TL;DR

This study identifies specific microRNAs linked to atherosclerosis and heart-related conditions in people with HIV, showing differences based on sex and comorbidities.

## Contribution

The study reveals sex-specific and comorbidity-dependent miRNA signatures in HIV patients, offering new insights into cardiovascular risk.

## Key findings

- miR-638 was consistently downregulated in men with atheroma plaque and increased cIMT.
- miR-27b-5p and miR-3613-5p were reduced in women with atheroma plaque.
- miR-140-5p was elevated in individuals with high cardiovascular risk scores across both cohorts.

## Abstract

Background: People with HIV (PWH) experience increased cardiovascular disease driven by chronic inflammation despite suppressive antiretroviral therapy. Circulating microRNAs (miRNAs) have emerged as potential biomarkers of cardiometabolic dysfunction, yet their relevance to HIV-associated atherosclerosis remains unclear. Methods: We analyzed PWH PBMC-derived miRNAs in two independent cohorts: the HUMT cohort (N = 185), characterized by carotid ultrasound assessment of atheroma plaque and carotid intima–media thickness (cIMT), and the CoRIS cohort (N = 119), stratified by cardiometabolic comorbidity burden (≥3 comorbidities vs none). An exploratory miRNA microarray comparing individuals with and without atheroma plaque (AP+ vs. AP−, N = 72) identified candidate miRNAs, a subset of which was selected for validation by RT-qPCR. Associations with atherosclerosis, cardiometabolic comorbidities and the HIV-adapted COMVIH-CoR clinical cardiovascular risk score were examined. Results: Forty-four miRNAs were differentially expressed in AP+ vs. AP– in the microarray. RT-qPCR validation showed sex-specific miRNA association with miR-638 was consistently downregulated in AP+ and pathological cIMT among men, while reduced expression of miR-27b-5p and miR-3613-5p was observed in women. Associations between miRNAs and cardiometabolic comorbidities differed by cohort: in HUMT, miR-638 was reduced in diabetes and obesity, while miR-140-5p and miR-27b-5p were decreased in smokers and individuals with low HDL. CoRIS participants with multiple comorbidities showed a generalized miRNAs upregulation. Notably, miR-140-5p was consistently elevated in individuals with high COMVIH-CoR scores across both cohorts. Conclusions: PBMC-derived miRNAs capture heterogeneous, context-dependent dimensions of cardiovascular risk in PWH, likely reflecting cumulative immune-metabolic stress rather than universal diagnostic markers of subclinical atherosclerosis and supporting a phenotype-specific role.

## Linked entities

- **Diseases:** atherosclerosis (MONDO:0005311), diabetes (MONDO:0005015), obesity (MONDO:0011122)

## Full-text entities

- **Genes:** CIMT (Carotid intimal medial thickness) [NCBI Gene 404677], TLR4 (toll like receptor 4) [NCBI Gene 7099] {aka ARMD10, CD284, TLR-4, TOLL}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, MIR638 (microRNA 638) [NCBI Gene 693223] {aka MIRN638, hsa-mir-638}, MIR27B (microRNA 27b) [NCBI Gene 407019] {aka MIR-27b, MIRN27B, miRNA27B}, PGK1 (phosphoglycerate kinase 1) [NCBI Gene 5230] {aka HEL-S-68p, MIG10, PGKA}, ATP2B1 (ATPase plasma membrane Ca2+ transporting 1) [NCBI Gene 490] {aka MRD66, PMCA1, PMCA1kb}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, PPARG (peroxisome proliferator activated receptor gamma) [NCBI Gene 5468] {aka CIMT1, FPLD3, GLM1, NR1C3, PPARG1, PPARG2}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, MIR3613 (microRNA 3613) [NCBI Gene 100500908]
- **Diseases:** diabetes (MESH:D003920), endothelial dysfunction (MESH:D014652), immune dysfunction (MESH:D007154), ischemic heart disease (MESH:D017202), opportunistic infections (MESH:D009894), CVD (MESH:D002318), vascular injury (MESH:D057772), carotid atherosclerotic disease (MESH:D002340), arterial disease (MESH:D002539), Carotid Atheroma Plaque (MESH:D016893), cardiometabolic comorbidities (MESH:D024821), injury to (MESH:D014947), chronic inflammation (MESH:D007249), endometriosis (MESH:D004715), Atherosclerosis (MESH:D050197), hypertension (MESH:D006973), elevated blood (MESH:D006402), dyslipidemia (MESH:D050171), AP (MESH:D058226), metabolic dysregulation (MESH:D021081), immune dysregulation (OMIM:614878), HIV (MESH:D015658), CoRIS (MESH:D006010), Injecting (MESH:C000719195), chronic (MESH:D002908), coronary artery stenosis (MESH:D023921), Obesity (MESH:D009765), peripheral artery disease (MESH:D058729), type 2 diabetes (MESH:D003924), stroke (MESH:D020521), cardiac systole (MESH:D006331)
- **Chemicals:** EDTA (MESH:D004492), Fosamprenavir (MESH:C426859), nitrogen (MESH:D009584), Elvitegravir (MESH:C509700), triglyceride (MESH:D014280), Nevirapine (MESH:D019829), trypan blue (MESH:D014343), Lopinavir (MESH:D061466), Didanosina (MESH:D016049), INSTI (-), Raltegravir (MESH:D000068898), Etravirine (MESH:C451734), Zidovudina (MESH:D015215), PI (MESH:D010716), Rilpivirine (MESH:D000068696), calcium (MESH:D002118), glucose (MESH:D005947), Atazanavir (MESH:D000069446), cholesterol (MESH:D002784), Efavirenz (MESH:C098320), Darunavir (MESH:D000069454), phenol (MESH:D019800), Lamivudina (MESH:D019259), Dolutegravir (MESH:C562325), Stavudine (MESH:D018119), lipid (MESH:D008055)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606], Hepatitis C Virus [taxon 11103], Human immunodeficiency virus 1 (no rank) [taxon 11676]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12922024/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12922024/full.md

## References

61 references — full list in the complete paper: https://tomesphere.com/paper/PMC12922024/full.md

---
Source: https://tomesphere.com/paper/PMC12922024