Evidence map›Paper›PMID 39225820›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2024

Epigenetic profiles in blood and adipose tissue: identifying strong correlations in morbidly obese and non-obese patients.

Antonio Cantarero-Cuenca, Andres Gonzalez-Jimenez, Gracia M Martínez-Núñez, Lourdes Garrido-Sánchez, Juan A G Ranea, Francisco J Tinahones

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In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Antonio Cantarero-Cuenca *Bioinformatic Platform, Instituto de Investigación Biomédica de Málaga (IBIMA - Plataforma Bionand), 29590, Málaga, Spain.
Andres Gonzalez-Jimenez *Bioinformatic Platform, Instituto de Investigación Biomédica de Málaga (IBIMA - Plataforma Bionand), 29590, Málaga, Spain. bioinformatica@ibima.eu.ORCID 0000-0002-7059-1577
Gracia M Martínez-NúñezInstituto de Investigación Biomédica de Málaga (IBIMA - Plataforma Bionand), Málaga, Spain.
Lourdes Garrido-SánchezDepartment of Endocrinology and Nutrition, Virgen de La Victoria University Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA - Plataforma Bionand), 29010, Málaga, Spain. lourgarido@gmail.com.
Juan A G RaneaBioinformatic Platform, Instituto de Investigación Biomédica de Málaga (IBIMA - Plataforma Bionand), 29590, Málaga, Spain.
Francisco J TinahonesDepartment of Endocrinology and Nutrition, Virgen de La Victoria University Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA - Plataforma Bionand), 29010, Málaga, Spain.

Funding

European Observation Network for Territorial Development and Cohesion IMP/00019Instituto de Salud Carlos III IMP/00019Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España PID2019-108096RB-C21
6 · The paper itself

Abstract

Epigenetic alterations play a pivotal role in conditions influenced by environmental factors such as overweight and obesity. Many of these changes are tissue-specific, which entails a problem in its study since obtaining human tissue is a complex and invasive practice. While blood is widely used as a surrogate biomarker, it cannot directly extrapolate the evidence found in blood to tissue. Moreover, the intricacies of metabolic diseases add a new layer of complexity, as obesity leads to significant alterations in adipose tissue, potentially causing associated pathologies that can disrupt existing correlations seen in healthy individuals. Here, our objective was to determine which epigenetic markers exhibit correlations between blood and adipose tissue, regardless of the metabolic status. We collected paired blood and adipose tissue samples from 64 patients with morbidity obesity and non-obese and employed the MethylationEPIC 850 K array for analysis. We found that only a small fraction, specifically 4.3% (corresponding to 34,825 CpG sites), of the sites showed statistically significant correlations (R ≥ 0.6) between blood and adipose tissue. Within this subset, 5327 CpG sites exhibited a strong correlation (R ≥ 0.8) between blood and adipose tissue. Our findings suggest that the majority of epigenetic markers in peripheral blood do not reliably reflect changes occurring in visceral adipose tissues. However, it is important to note that there exists a distinct set of epigenetic markers that can indeed mirror changes in adipose tissue within blood samples. KEY MESSAGES: More than 8% of methylation sites exhibit similarity between blood and adipose tissues, regardless of BMI The correlation percentage between blood and adipose tissue is strongly influenced by gender The principal genes implicated in this correlation are related to metabolism or the immunological system.

Indexed as

Adipose TissueCpG IslandsDNA MethylationEpigenesis, GeneticObesity, MorbidAdultBiomarkersFemaleHumansMaleMiddle AgedBiomarkersCorrelationEpigeneticsObesityType 2 diabetesVisceral adipose tissue

Identifiers

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Registered trials

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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 OpenQuestion graph.