Evidence map›Paper›PMID 42668298›Full record

ArticleJournal of human hypertension2026

Global DNA methylation and hypertension control Vis-À-Vis lipids: an exploratory population based study from rural Punjab, India.

Debashis Bhattacharjee, Suniti Yadav, Naorem Kiranmala Devi, Ram Prasad Mitra, Ranjita Pandey, Kewal Krishan, Rajinder Kumar Dhamija, Kallur Nava Saraswathy

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Article in Journal of human hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Debashis BhattacharjeeLaboratory of Biochemical and Molecular Anthropology, Department of Anthropology, University of Delhi, 110007, New Delhi, India.
Suniti YadavLaboratory of Biochemical and Molecular Anthropology, Department of Anthropology, University of Delhi, 110007, New Delhi, India.
Naorem Kiranmala DeviLaboratory of Biochemical and Molecular Anthropology, Department of Anthropology, University of Delhi, 110007, New Delhi, India.
Ram Prasad MitraDepartment of Anthropology, University of Delhi, 110007, New Delhi, India.
Ranjita PandeyDepartment of Statistics, University of Delhi, 110007, New Delhi, India.
Kewal KrishanDepartment of Anthropology, Panjab University, Chandigarh, 160014, India.
Rajinder Kumar DhamijaInstitute of Human Behaviour and Allied Sciences (IHBAS), Delhi, 110095, New Delhi, India.
Kallur Nava SaraswathyLaboratory of Biochemical and Molecular Anthropology, Department of Anthropology, University of Delhi, 110007, New Delhi, India. knsaraswathy@yahoo.com.ORCID http://orcid.org/0000-0002-0826-9675

Funding

Indian Council of Medical Research (ICMR) 5/4/1-33/2020-NCD-1
6 · The paper itself

Abstract

abstarctHypertension remains a major global health challenge, accounting for a substantial burden of mortality and morbidity. In India, despite advances in pharmacological management, optimal blood pressure (BP) control is still not achieved in a significant proportion of the population. Abnormal lipid profiles frequently coexist with hypertension, synergistically increasing the risk of cardiovascular diseases. Emerging evidence suggests that DNA methylation may mediate the effects of metabolic stressors on gene regulation, contributing to the pathophysiology of hypertension and related cardiometabolic disorders. This population-based study investigates the interrelationship between blood pressure, lipid profiles, and global 5-methylcytosine (5mC) levels across normotensive individuals, hypertensives identified by the investigators and not yet on medication, and hypertensives on medication (both controlled and uncontrolled). A total of 900 individuals (450 hypertensive cases and 450 age- and sex-matched controls) were recruited from rural Punjab. Anthropometric parameters (BMI, WC, HC), BP, lipid levels, and global DNA methylation were assessed using standardized protocols. Data were analyzed using SPSS v22. Findings revealed that abnormal levels of triglycerides (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) were significantly higher among hypertensive individuals on medication with uncontrolled BP. These individuals also exhibited significantly lower global 5mC levels, indicating hypomethylation. The results suggest that a high lipid burden may not only compromise the efficacy of antihypertensive medication but also contribute to global DNA hypomethylation, which is often associated with accelerated biological aging and elevated cardiovascular risk. The study highlights the importance of lipids not in hypertension control but also in maintenance of Global DNA methylation.

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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.