Evidence mapPaperPMID 36253014Full record

ArticleBMJ open diabetes research & care2022

Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes.

Magdalena Del Rocio Sevilla-Gonzalez, Alisa K Manning, Kenneth E Westerman, Carlos Alberto Aguilar-Salinas, Amy Deik, Clary B Clish

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2022. 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
1.2field-weighted citation impact, top 21% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Metabolomic Profile Alterations Associated with theCurrent developments in nutrition · 2024
    Article
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  5. 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 at 2 institutions in 2 countries.

Magdalena Del Rocio Sevilla-GonzalezClinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA msevillagonzalez@mgh.harvard.edu.ORCID 0000-0001-6135-9998
Alisa K ManningClinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-0247-902X
Kenneth E WestermanClinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-7619-1868
Carlos Alberto Aguilar-SalinasUnidad de Investigacion en Enfermedades Metabólicas, Insituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, México City, Mexico.ORCID 0000-0001-8517-0241
Amy DeikMetabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0002-9687-0953
Clary B ClishMetabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0001-8259-9245
Broad Institute · USInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDisentangling the specific factors that regulate glycemia from prediabetes to normoglycemia could improve type 2 diabetes prevention strategies. Metabolomics provides substantial insights into the biological understanding of environmental factors such as diet. This study aimed to identify metabolomic markers of regression to normoglycemia in the context of a lifestyle intervention (LSI) in individuals with prediabetes. RESEARCH DESIGN AND

methodsWe conducted a single-arm intervention study with 24 weeks of follow-up. Eligible study participants had at least one prediabetes criteria according to the American Diabetes Association guidelines, and body mass index between 25 and 45 kg/m

resultsThe final sample was composed of 82 study participants. Changes in three metabolites were significantly associated with regression to normoglycemia; N-acetyl-D-galactosamine (OR=0.54; 95% CI 0.32 to 0.82), putrescine (OR=0.90, 95% CI 0.81 to 0.98), and 7-methylguanine (OR=1.06; 95% CI 1.02 to 1.17), independent of HbA1c and weight loss. In addition, metabolomic perturbations due to LSI displayed enrichment of taurine and hypotaurine metabolism pathway (p=0.03) compatible with biomarkers of protein consumption, lower red meat and animal fats and higher seafood and vegetables.

conclusionsEvidence from this study suggests that specific metabolomic markers have an influence on glucose regulation in individuals with prediabetes after 24 weeks of LSI independently of other treatment effects such as weight loss.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateAcetylgalactosamineBiomarkersDietary ProteinsDiet, ReducingGlucoseGlycated HemoglobinHumansMetabolomicsObesityPutrescineTaurineWeight LossAcetylgalactosamineBiomarkersDietary ProteinsGlucoseGlycated HemoglobinPutrescineTaurinebiomarkerslife styleprediabetic state

Identifiers

PMID36253014
PMCPMC9577902
OpenAlexW4306411346

What Socratic 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 Socratic graph.