Evidence map›Paper›PMID 32296077›Full record

ArticleScientific reports2020

Altered pathways in methylome and transcriptome longitudinal analysis of normal weight and bariatric surgery women.

C F Nicoletti, M A S Pinhel, N Y Noronha, B A de Oliveira, W Salgado Junior, A Jácome, A Diaz-Lagares, F Casanueva, A B Crujeiras, C B Nonino

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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  5. 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

10 authors at 6 institutions in 2 countries.

C F NicolettiLaboratory of Nutrigenomics Studies, Health Science Department, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, Brazil.
M A S PinhelLaboratory of Nutrigenomics Studies, Health Science Department, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, Brazil.
N Y NoronhaLaboratory of Nutrigenomics Studies, Health Science Department, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, Brazil.
B A de OliveiraLaboratory of Nutrigenomics Studies, Health Science Department, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, Brazil.
W Salgado JuniorDepartment of Surgery and Anatomy, Ribeirão Preto Medical School, University of Sao Paulo, Sao Paulo, Brazil.
A JácomeDepartment of Mathematics, MODES group, CITIC, Universidade da Coruña, Faculty of Science, A Coruña, Spain.
A Diaz-LagaresTranslational Medical Oncology (Oncomet), Instituto de Investigación Sanitaria (IDIS), Complejo Hospitalario Universitario de Santiago (CHUS), CIBERONC, Santiago de Compostela, Spain.
F CasanuevaEpigenomics in Endocrinology and Nutrition, Instituto de Investigación Sanitaria (IDIS), Complejo Hospitalario Universitario de Santiago (CHUS) and Santiago de Compostela University (USC), Santiago de Compostela, Spain.
A B CrujeirasEpigenomics in Endocrinology and Nutrition, Instituto de Investigación Sanitaria (IDIS), Complejo Hospitalario Universitario de Santiago (CHUS) and Santiago de Compostela University (USC), Santiago de Compostela, Spain. anabelencrujeiras@hotmail.com.ORCID http://orcid.org/0000-0003-4392-0301
C B NoninoLaboratory of Nutrigenomics Studies, Health Science Department, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, Brazil. carla@fmrp.usp.br.
Universidade de São Paulo · BRComplejo Hospitalario Universitario de Santiago · ESFaculdade de Medicina de São José do Rio Preto · BRInstituto de Salud Carlos III · ESUniversidade da Coruña · ESUniversidade de Ribeirão Preto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation could provide a link between environmental, genetic factors and weight control and can modify gene expression pattern. This study aimed to identify genes, which are differentially expressed and methylated depending on adiposity state by evaluating normal weight women and obese women before and after bariatric surgery (BS). We enrolled 24 normal weight (BMI: 22.5 ± 1.6 kg/m

Indexed as

Bariatric SurgeryDNA MethylationTranscriptomeAdaptor Proteins, Signal TransducingAdiposityAdultAminopeptidasesButyrate Response Factor 1Dipeptidyl-Peptidases and Tripeptidyl-PeptidasesFemaleHumansIntracellular Signaling Peptides and ProteinsMembrane ProteinsMetabolic Networks and PathwaysMiddle AgedMitochondrial ProteinsAdaptor Proteins, Signal TransducingAminopeptidasesARL6IP1 protein, humanButyrate Response Factor 1CYRIB protein, humanDipeptidyl-Peptidases and Tripeptidyl-PeptidasesIntracellular Signaling Peptides and ProteinsMembrane ProteinsMitochondrial ProteinsSerine Endopeptidasestripeptidyl-peptidase 2Ubiquitin ThiolesteraseUSP10 protein, humanZFP36L1 protein, human

Identifiers

PMID32296077
PMCPMC7160100
OpenAlexW3017041896

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.