Evidence map›Paper›PMID 41756286›Full record

ArticleFrontiers in immunology2026

Integrative analysis of DNA methylation and inflammatory protein biomarkers in hypertension.

Min Zhu, Jin Zhang, Jing Ma, Xiaofeng Tang, Yan Wang, Dingliang Zhu

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

6 authors.

Min Zhu *Department of Cardiovascular Medicine, Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jin Zhang *Department of Cardiovascular Medicine, Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jing MaDepartment of Cardiovascular Medicine, Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiaofeng TangDepartment of Cardiovascular Medicine, Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yan WangDepartment of Cardiovascular Medicine, Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Dingliang ZhuDepartment of Cardiovascular Medicine, Research Center for Hypertension Management and Prevention in Community, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: To investigate the relationship between inflammation and hypertension by comparing epigenetic and serum biomarkers of inflammation and their association with target organ damage (TOD). Methods: The epigenome-wide methylation profiles of peripheral leukocyte DNA from 176 patients with hypertension were analyzed using Illumina Infinium Methylation EPIC BeadChips. The commercially available Olink Results: In our analysis, we found 771 significant associations across 11 biomarkers, with a false discovery rate (FDR) of less than 0.05. Lambda estimates ranged from 0.847 to 1.202. Among these, 39 pQTMs showed an association with urine albumin-creatinine ratio, while 82 pQTMs showed an association with carotid intima-media thickness. Conclusion: Our findings contribute to the understanding of inflammatory biomarkers associated with alterations in DNA methylation in hypertension. However, these results will need to be validated in future studies.

Indexed as

DNA MethylationHypertensionInflammationInflammation MediatorsBiomarkersCarotid Intima-Media ThicknessCpG IslandsEpigenesis, GeneticFemaleHumansMaleMiddle AgedQuantitative Trait LociBiomarkersInflammation MediatorsDNA methylationepigenome-wide analysishypertensioninflammatory biomarkerstarget organ damage

Identifiers

PMID41756286
PMCPMC12932573

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.