Evidence map›Paper›PMID 34714849›Full record

ArticlePloS one2021

Potential evidence for epigenetic biomarkers of metabolic syndrome in human whole blood in Latinos.

Keane Urashima, Anastasia Miramontes, Luis A Garcia, Dawn K Coletta

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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  3. Review
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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

4 authors at 1 institution in 1 country.

Keane UrashimaDepartment of Physiology, University of Arizona, Tucson, Arizona, United States of America.
Anastasia MiramontesDepartment of Medicine, Division of Endocrinology, University of Arizona, Tucson, Arizona, United States of America.ORCID 0000-0002-4304-1561
Luis A GarciaDepartment of Medicine, Division of Endocrinology, University of Arizona, Tucson, Arizona, United States of America.
Dawn K ColettaDepartment of Physiology, University of Arizona, Tucson, Arizona, United States of America.ORCID 0000-0001-5819-5152
University of Arizona · US

Funding

Epigenetics and the Origin of Muscle Insulin Resistance in HumansR01DK094013 · NIDDK · UNIVERSITY OF ARIZONA · PI COLETTA, DAWN KATRINA · 2012 to 2016
$1.9M
NIDDK NIH HHS R01 DK094013
6 · The paper itself

Abstract

Metabolic syndrome (MetS) is highly prevalent worldwide. In the United States, estimates show that more than 30% of the adult population has MetS. MetS consists of multiple phenotypes, including obesity, dyslipidemia, and impaired glucose tolerance. Therefore, identifying the molecular mechanisms to explain this complex disease is critical for diagnosing and treating MetS. We previously showed 70 increased genes and 20 decreased genes in whole blood in MetS participants. The present study aimed to identify blood-based DNA methylation biomarkers in non-MetS versus MetS participants. The present study analyzed whole blood DNA samples from 184 adult participants of Latino descent from the Arizona Insulin Resistance (AIR) registry. We used the National Cholesterol Education Program Adult Treatment Panel III (NCEP: ATP III) criteria to identify non-MetS (n = 110) and MetS (n = 74) participants. We performed whole blood methylation analysis on select genes: ATP Synthase, H+ Transporting mitochondrial F1 Complex, Epsilon Subunit (ATP5E), Cytochrome C Oxidase Subunit VIc (COX6C), and Ribosomal Protein L9 (RPL9). The pyrosequencing analysis was a targeted approach focusing on the promoter region of each gene that specifically captured CpG methylation sites. In MetS participants, we showed decreased methylation in two CpG sites in COX6C and three CpG sites in RPL9, all p < 0.05 using the Mann-Whitney U test. There were no ATP5E CpG sites differently methylated in the MetS participants. Furthermore, while adjusting for age, gender, and smoking status, logistic regression analysis reaffirmed the associations between MetS and mean methylation within COX6C and RPL9 (both p < 0.05). In addition, Spearman's correlation revealed a significant inverse relationship between the previously published gene expression data and methylation data for RPL9 (p < 0.05). In summary, these results highlight potential blood DNA methylation biomarkers for the MetS phenotype. However, future validation studies are warranted to strengthen our findings.

Indexed as

DNA MethylationEpigenesis, GeneticAdultATPase Inhibitory ProteinBiomarkersCpG IslandsElectron Transport Complex IVFemaleHispanic or LatinoHumansMaleMetabolic SyndromePromoter Regions, GeneticProteinsRibosomal ProteinsATPase Inhibitory ProteinBiomarkersCOX6c protein, humanElectron Transport Complex IVProteinsribosomal protein L9Ribosomal Proteins

Identifiers

PMID34714849
PMCPMC8555810
OpenAlexW3210313518

What OpenQuestion 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 OpenQuestion graph.