Evidence map›Paper›PMID 42222116›Full record

ReviewFrontiers in cardiovascular medicine2026

Recent advances in omics-based research of mitral valve disease.

Shilin Jin, Shishi Wu, Di Zhang, Yantao Luo, Nabila Bouatia-Naji, Mengyao Yu

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Novel compound heterozygous variants in theFrontiers in cardiovascular medicine · 2026
    Article
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

6 authors.

Shilin JinHuman Phenome Institute, Shanghai Pudong Hospital, Fudan University Pudong Medical Centre, Fudan University, Shanghai, China.
Shishi WuHuman Phenome Institute, Shanghai Pudong Hospital, Fudan University Pudong Medical Centre, Fudan University, Shanghai, China.
Di ZhangHuman Phenome Institute, Shanghai Pudong Hospital, Fudan University Pudong Medical Centre, Fudan University, Shanghai, China.
Yantao LuoHuman Phenome Institute, Shanghai Pudong Hospital, Fudan University Pudong Medical Centre, Fudan University, Shanghai, China.
Nabila Bouatia-NajiInserm, PARCC, Université Paris Cité, Paris, France.
Mengyao YuHuman Phenome Institute, Shanghai Pudong Hospital, Fudan University Pudong Medical Centre, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitral valve disease (MVD), particularly mitral valve prolapse (MVP), is a common heart valve condition affecting millions of people worldwide. Its pathological mechanism is complex, involving multiple factors such as extracellular matrix remodeling, inflammatory responses, and genetic susceptibility. In recent years, with the development of high-throughput sequencing and analysis technologies, omics approaches including genomics, epigenomics, transcriptomics, proteomics, metabolomics and multi-omics integration have been widely used in MVD research. These technologies have greatly deepened our understanding of the molecular basis of the disease. This review systematically organizes the scientific literature from the past decade on the use of omics technologies to study mitral valve disease, especially MVP and myxomatous mitral valve disease (MMVD). We classify the findings into genomics, epigenomics, transcriptomics, proteomics, metabolomics and multi-omics analysis. We summarize the core discoveries in each area and discuss future research directions, with the goal to provide a theoretical basis for developing new diagnostic markers and targeted therapeutic strategies.

Indexed as

epigenomicsgenomicsmitral valve diseasemulti-omicsomicsproteomicstranscriptomics

Identifiers

PMID42222116
PMCPMC13219313

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.