Evidence map›Paper›PMID 34137937›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2021

Plasma and stool metabolomics to identify microbiota derived-biomarkers of metabolic dysfunction-associated fatty liver disease: effect of PNPLA3 genotype.

Flavia Noelia Mazzini, Frank Cook, John Gounarides, Sebastián Marciano, Leila Haddad, Ana Jesica Tamaroff, Paola Casciato, Adrián Narvaez, María Florencia Mascardi, Margarita Anders and 9 more

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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  9. Current Therapeutical Approaches Targeting Lipid Metabolism in NAFLD.International journal of molecular sciences · 2023
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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

19 authors at 4 institutions in 1 country.

Flavia Noelia MazziniInstituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI) - Hospital Italiano de Buenos Aires (HIBA), Potosí 4240, C1199ACL, Ciudad Autónoma de Buenos Aires, Argentina.
Frank CookAnalytical Sciences & Imaging (AS&I) Department, Novartis Institutes for Biomedical Research (NIBR), Cambridge, MA, USA.
John GounaridesAnalytical Sciences & Imaging (AS&I) Department, Novartis Institutes for Biomedical Research (NIBR), Cambridge, MA, USA.
Sebastián MarcianoLiver Unit of Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Leila HaddadLiver Unit of Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Ana Jesica TamaroffNutrition Department of Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Paola CasciatoLiver Unit of Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Adrián NarvaezLiver Unit of Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
María Florencia MascardiInstituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI) - Hospital Italiano de Buenos Aires (HIBA), Potosí 4240, C1199ACL, Ciudad Autónoma de Buenos Aires, Argentina.
Margarita AndersLiver Unit of Hospital Alemán, Ciudad Autónoma de Buenos Aires, Argentina.
Federico OrozcoLiver Unit of Hospital Alemán, Ciudad Autónoma de Buenos Aires, Argentina.
Nicolás QuirózInstituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI) - Hospital Italiano de Buenos Aires (HIBA), Potosí 4240, C1199ACL, Ciudad Autónoma de Buenos Aires, Argentina.
Marcelo RiskInstituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI) - Hospital Italiano de Buenos Aires (HIBA), Potosí 4240, C1199ACL, Ciudad Autónoma de Buenos Aires, Argentina.
Susana GuttNutrition Department of Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Adrián GadanoLiver Unit of Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Celia Méndez GarcíaChemical Biology & Therapeutics (CBT) Department, NIBR, Cambridge, MA, USA.
Martin L MarroCardiovascular and Metabolic Disease Area, NIBR, Cambridge, MA, USA.
Alberto Penas-SteinhardtLaboratorio de Genómica Computacional, Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Buenos Aires, Argentina.
Julieta TrinksInstituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI) - Hospital Italiano de Buenos Aires (HIBA), Potosí 4240, C1199ACL, Ciudad Autónoma de Buenos Aires, Argentina. julieta.trinks@hospitalitaliano.org.ar.ORCID 0000-0003-4781-8005
Hospital Italiano de Buenos Aires · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARHospital Alemán · ARNational University of Luján · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNon-invasive biomarkers are needed for metabolic dysfunction-associated fatty liver disease (MAFLD), especially for patients at risk of disease progression in high-prevalence areas. The microbiota and its metabolites represent a niche for MAFLD biomarker discovery. However, studies are not reproducible as the microbiota is variable.

objectivesWe aimed to identify microbiota-derived metabolomic biomarkers that may contribute to the higher MAFLD prevalence and different disease severity in Latin America, where data is scarce.

methodsWe compared the plasma and stool metabolomes, gene patatin-like phospholipase domain-containing 3 (PNPLA3) rs738409 single nucleotide polymorphism (SNP), diet, demographic and clinical data of 33 patients (12 simple steatosis and 21 steatohepatitis) and 19 healthy volunteers (HV). The potential predictive utility of the identified biomarkers for MAFLD diagnosis and progression was evaluated by logistic regression modelling and ROC curves.

resultsTwenty-four (22 in plasma and 2 in stool) out of 424 metabolites differed among groups. Plasma triglyceride (TG) levels were higher among MAFLD patients, whereas plasma phosphatidylcholine (PC) and lysoPC levels were lower among HV. The PNPLA3 risk genotype was related to higher plasma levels of eicosenoic acid or fatty acid 20:1 (FA(20:1)). Body mass index and plasma levels of PCaaC24:0, FA(20:1) and TG (16:1_34:1) showed the best AUROC for MAFLD diagnosis, whereas steatosis and steatohepatitis could be discriminated with plasma levels of PCaaC24:0 and PCaeC40:1.

conclusionThis study identified for the first time MAFLD potential non-invasive biomarkers in a Latin American population. The association of PNPLA3 genotype with FA(20:1) suggests a novel metabolic pathway influencing MAFLD pathogenesis.

Indexed as

MicrobiotaNon-alcoholic Fatty Liver DiseaseBiomarkersGenotypeHumansLipaseMembrane ProteinsMetabolomicsBiomarkersLipaseMembrane ProteinsMetabolic dysfunction-associated fatty liver diseaseMetabolomicsMicrobiotaPlasmaPNPLA3Stool

Identifiers

PMID34137937
OpenAlexW3169979574

What OpenQuestion holds

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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.