Evidence map›Paper›PMID 41986449›Full record

ArticleScientific reports2026

Identification of biomarkers in myocardial hypertrophy and fibrosis via integrated transcriptomic and phosphoproteomic profiling.

Kang Luo, Yangguang Ma, Yayong Zhang, Yunfeng Zi, Guangyuan Guo, Xingyuan Chen, Wenjuan Feng, Qifan Jing, Lin Li, Shen Han and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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

11 authors.

Kang Luo *School of Medicine, Yunnan University, 2 Cuihu North Road, Wuhua District, Kunming, 650091, Yunnan, China.
Yangguang Ma *Department of Cardiovascular Surgery, Yan'an Affiliated Hospital of Kunming Medical University, 245 Renmin East Road, Panlong District, Kunming, 650000, China.
Yayong ZhangDepartment of Cardiovascular Surgery, Yan'an Affiliated Hospital of Kunming Medical University, 245 Renmin East Road, Panlong District, Kunming, 650000, China.
Yunfeng ZiDepartment of Cardiovascular Surgery, Yan'an Affiliated Hospital of Kunming Medical University, 245 Renmin East Road, Panlong District, Kunming, 650000, China.
Guangyuan GuoDepartment of Cardiovascular Surgery, Yan'an Affiliated Hospital of Kunming Medical University, 245 Renmin East Road, Panlong District, Kunming, 650000, China.
Xingyuan ChenDepartment of Cardiovascular Surgery, Yan'an Affiliated Hospital of Kunming Medical University, 245 Renmin East Road, Panlong District, Kunming, 650000, China.
Wenjuan FengDepartment of Cardiovascular Surgery, Yan'an Affiliated Hospital of Kunming Medical University, 245 Renmin East Road, Panlong District, Kunming, 650000, China.
Qifan JingNanjing Geneseeq Technology Inc, Nanjing, 210000, China.
Lin LiDepartment of Central Laboratory, Yan'an Affiliated Hospital of Kunming Medical University, 245 Renmin East Road, Panlong District, Kunming, 650000, China. lilin@kmmu.edu.cn.
Shen HanDepartment of Cardiovascular Surgery, Yan'an Affiliated Hospital of Kunming Medical University, 245 Renmin East Road, Panlong District, Kunming, 650000, China. hslsj910@163.com.
Bingrong ZhengSchool of Medicine, Yunnan University, 2 Cuihu North Road, Wuhua District, Kunming, 650091, Yunnan, China. zhengbr@ynu.edu.cn.

Funding

Chinese National Natural Science Foundation 82260063the Science and Technology department of Yunnan Province 202201AT070282the Science and Technology department of Yunnan Province 202401AY070001-190
6 · The paper itself

Abstract

Myocardial hypertrophy and fibrosis (MHF) are key structural changes in adverse cardiac remodeling. They are commonly observed in hypertension, metabolic disorders, and cardiomyopathies. These processes contribute to heart failure and sudden death, yet their molecular mechanisms remain unclear. We established in vivo and in vitro models of MHF and performed transcriptomic and label-free phosphoproteomic sequencing. These data were integrated with public single-cell RNA sequencing datasets. This multi-tier strategy enabled us to move beyond bulk-tissue signals and prioritize candidates based on cross-omics concordance and cell-type-specific expression. We identified five candidate biomarkers, CLIP2, PLA2G4A, PRRX1, SLAIN2, and XPO1. These candidates showed coordinated upregulation or downregulation at both the transcriptomic and phosphoproteomic levels. They were also specifically enriched in disease-relevant cardiac cell populations, including cardiomyocytes and fibroblasts. PRRX1 and PLA2G4A were enriched in fibrogenic fibroblast subsets and increased along activation trajectories. XPO1 and SLAIN2 were downregulated in cardiomyocytes and fibroblasts, suggesting impaired nuclear export and cytoskeletal regulation. Molecular docking revealed flurandrenolide and selinexor as potential modulators of PLA2G4A and XPO1 respectively. However, their cardiovascular safety and efficiency remain uncertain. Notably, the therapeutic implications of XPO1 modulation appear context-dependent, warranting careful evaluation of its functional role in specific MHF etiologies. Overall, these findings highlight novel targets and provide mechanistic insights into MHF progression.

Indexed as

BiomarkersCardiomegalyMyocardiumPhosphoproteinsProteomicsTranscriptomeAnimalsExportin 1 ProteinFibrosisGene Expression ProfilingHumansKaryopherinsMultiomicsMyocytes, CardiacReceptors, Cytoplasmic and NuclearBiomarkersExportin 1 ProteinKaryopherinsPhosphoproteinsReceptors, Cytoplasmic and NuclearBiomarkersHypertrophic and fibrosis cardiomyopathyLabel-free quantitative phosphoproteomeSingle-cell RNA sequencingTranscriptome

Identifiers

PMID41986449
PMCPMC13243507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.