Evidence map›Paper›PMID 39519150›Full record

ReviewInternational journal of molecular sciences2024

Epigenetic DNA Methylation and Protein Homocysteinylation: Key Players in Hypertensive Renovascular Damage.

Lu Ren, Sathnur Pushpakumar, Hebah Almarshood, Swapan K Das, Utpal Sen

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

5 authors.

Lu RenDepartment of Physiology, University of Louisville School of Medicine, Louisville, KY 40202, USA.
Sathnur PushpakumarDepartment of Physiology, University of Louisville School of Medicine, Louisville, KY 40202, USA.
Hebah AlmarshoodDepartment of Physiology, University of Louisville School of Medicine, Louisville, KY 40202, USA.
Swapan K DasDepartment of Internal Medicine, Section on Endocrinology and Metabolism, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA.ORCID 0000-0002-2197-8855
Utpal SenDepartment of Physiology, University of Louisville School of Medicine, Louisville, KY 40202, USA.ORCID 0000-0002-0600-3443

Funding

miRNA Mechanism of Acute Kidney Injury in AgingR01DK116591 · NIDDK · UNIVERSITY OF LOUISVILLE · PI SEN, UTPAL, TYAGI, SURESH C. · 2018 to 2022
$2.2M
NIDDK NIH HHS DK116591
6 · The paper itself

Abstract

Hypertension has been a threat to the health of people, the mechanism of which, however, remains poorly understood. It is clinically related to loss of nephron function, glomerular sclerosis, or necrosis, resulting in renal functional declines. The mechanisms underlying hypertension's development and progression to organ damage, including hypertensive renal damage, remain to be fully elucidated. As a developing approach, epigenetics has been postulated to elucidate the phenomena that otherwise cannot be explained by genetic studies. The main epigenetic hallmarks, such as DNA methylation, histone acetylation, deacetylation, noncoding RNAs, and protein N-homocysteinylation have been linked with hypertension. In addition to contributing to endothelial dysfunction and oxidative stress, biologically active gases, including NO, CO, and H

Indexed as

DNA MethylationEpigenesis, GeneticHomocysteineAnimalsHumansHypertensionHypertension, RenovascularKidneyOxidative StressProtein Processing, Post-TranslationalHomocysteineDNA methylationepigeneticsgaseous moleculeshistone modificationkidney diseasemetabolic disordernoncoding RNAprotein homocysteinylation

Identifiers

PMID39519150
PMCPMC11546175

What OpenQuestion holds

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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.