Evidence map›Paper›PMID 33028190›Full record

ArticleMolecular medicine (Cambridge, Mass.)2020

DNA methylation microarrays identify epigenetically regulated lipid related genes in obese patients with hypercholesterolemia.

Teresa Płatek, Anna Polus, Joanna Góralska, Urszula Raźny, Anna Gruca, Beata Kieć-Wilk, Piotr Zabielski, Maria Kapusta, Krystyna Słowińska-Solnica, Bogdan Solnica and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Association analysis between an epigenetic alcohol risk score and blood pressure.medRxiv : the preprint server for health sciences · 2024
    Article
  7. Article
  8. Article
  9. Methylation status ofEpigenomics · 2024
    Article
  10. Expression Variation ofInternational journal of molecular sciences · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. 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

12 authors at 2 institutions in 1 country.

Teresa PłatekDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland. teresa.staszel@cm-uj.krakow.pl.ORCID 0000-0003-1935-1866
Anna PolusDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Joanna GóralskaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Urszula RaźnyDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Anna GrucaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Beata Kieć-WilkDepartment of Metabolic Diseases, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Piotr ZabielskiDepartment of Physiology, Medical University of Bialystok, Mickiewicza 2C, 15-222, Białystok, Poland.
Maria KapustaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Krystyna Słowińska-SolnicaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Bogdan SolnicaDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Małgorzata Malczewska-MalecDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Aldona Dembińska-KiećDepartment of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
Jagiellonian University · PLMedical University of Białystok · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenetics can contribute to lipid disorders in obesity. The DNA methylation pattern can be the cause or consequence of high blood lipids. The aim of the study was to investigate the DNA methylation profile in peripheral leukocytes associated with elevated LDL-cholesterol level in overweight and obese individuals.

methodsTo identify the differentially methylated genes, genome-wide DNA methylation microarray analysis was performed in leukocytes of obese individuals with high LDL-cholesterol (LDL-CH, ≥ 3.4 mmol/L) versus control obese individuals with LDL-CH, < 3.4 mmol/L. Biochemical tests such as serum glucose, total cholesterol, HDL cholesterol, triglycerides, insulin, leptin, adiponectin, FGF19, FGF21, GIP and total plasma fatty acids content have been determined. Oral glucose and lipid tolerance tests were also performed. Human DNA Methylation Microarray (from Agilent Technologies) containing 27,627 probes for CpG islands was used for screening of DNA methylation status in 10 selected samples. Unpaired t-test and Mann-Whitney U-test were used for biochemical and anthropometric parameters statistics. For microarrays analysis, fold of change was calculated comparing hypercholesterolemic vs control group. The q-value threshold was calculated using moderated Student's t-test followed by Benjamini-Hochberg multiple test correction FDR.

resultsIn this preliminary study we identified 190 lipid related CpG loci differentially methylated in hypercholesterolemic versus control individuals. Analysis of DNA methylation profiles revealed several loci engaged in plasma lipoprotein formation and metabolism, cholesterol efflux and reverse transport, triglycerides degradation and fatty acids transport and β-oxidation. Hypermethylation of CpG loci located in promoters of genes regulating cholesterol metabolism: PCSK9, LRP1, ABCG1, ANGPTL4, SREBF1 and NR1H2 in hypercholesterolemic patients has been found. Novel epigenetically regulated CpG sites include ABCG4, ANGPTL4, AP2A2, AP2M1, AP2S1, CLTC, FGF19, FGF1R, HDLBP, LIPA, LMF1, LRP5, LSR, NR1H2 and ZDHHC8 genes.

conclusionsOur results indicate that obese individuals with hypercholesterolemia present specific DNA methylation profile in genes related to lipids transport and metabolism. Detailed knowledge of epigenetic regulation of genes, important for lipid disorders in obesity, underlies the possibility to influence target genes by changing diet and lifestyle, as DNA methylation is reversible and depends on environmental factors. These findings give rise for further studies on factors that targets methylation of revealed genes.

Indexed as

DNA MethylationEpigenesis, GeneticEpigenomicsAdultAgedBiomarkersBody Weights and MeasuresCpG IslandsDisease SusceptibilityFemaleGene Expression RegulationGene Regulatory NetworksHumansHypercholesterolemiaLipid MetabolismLipidsBiomarkersLipidsDNA methylationHypercholesterolemiaObesityPlasma lipids

Identifiers

PMID33028190
PMCPMC7539457
OpenAlexW3092166571

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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.