Evidence map›Paper›PMID 42088307›Full record

ReviewFrontiers in nutrition2026

The role of microRNAs in cardiovascular disease associated with the consumption of ultra-processed foods: a comprehensive review.

Shengzhou Wen, Dushyantha T Jayaweera, George R Marzouka, Chunming Dong

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 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

4 authors.

Shengzhou WenDepartment of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States.
Dushyantha T JayaweeraDepartment of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States.
George R MarzoukaDepartment of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States.
Chunming DongDepartment of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultra-processed foods (UPFs) now dominate dietary intake in many countries and are consistently associated with higher risks of cardiovascular disease (CVD), including myocardial infarction, stroke, and heart failure. Beyond excess sodium, sugar, and unhealthy fats, UPFs may exert cardiovascular harm through food matrix disruption, processing-generated toxicants, additive exposure, and microbiome perturbation. These upstream insults converge on inflammatory, oxidative, and metabolic signaling pathways that regulate microRNAs (miRNAs), a class of small non-coding RNAs that orchestrate post-transcriptional gene expression across endothelial cells, vascular smooth muscle cells, macrophages, platelets, and metabolic tissues. In this review, we propose a unifying mechanistic framework in which UPF exposure reshapes both intracellular and extracellular vesicle (EV)-associated miRNA networks, thereby linking gut, liver, adipose tissue, and the vascular wall in a feed-forward cardiometabolic signaling loop. We synthesize evidence across epidemiology, experimental models, and human dietary intervention studies, while explicitly distinguishing established, emerging, and speculative mechanisms to avoid over-interpretation. We further discuss translational opportunities, including circulating miRNA/EV-miRNA biomarkers, nutritionally responsive miRNA signatures, and miRNA-targeted therapeutics. Together, this framework positions the UPF-miRNA/EV axis as a plausible molecular bridge between modern dietary exposure and atherosclerotic disease progression, and highlights priority areas for mechanistic validation and clinical translation.

Indexed as

atherosclerosiscardiovascular diseaseextracellular vesiclesinflammationmicroRNAnutrigenomicsultra-processed foods

Identifiers

PMID42088307
PMCPMC13136019

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.