Evidence map›Paper›PMID 35357561›Full record

ArticleDiabetologia2022

Healthful eating patterns, serum metabolite profile and risk of diabetes in a population-based prospective study of US Hispanics/Latinos.

Guo-Chong Chen, Jin Choul Chai, Jiaqian Xing, Jee-Young Moon, Zhilei Shan, Bing Yu, Yasmin Mossavar-Rahman, Daniela Sotres-Alvarez, Jun Li, Josiemer Mattei and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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

17 authors at 6 institutions in 2 countries.

Guo-Chong ChenDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.ORCID 0000-0003-1853-6244
Jin Choul ChaiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Jiaqian XingDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Jee-Young MoonDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Zhilei ShanDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Bing YuDepartment of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0003-4818-1077
Yasmin Mossavar-RahmanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Daniela Sotres-AlvarezDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-3226-6140
Jun LiDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Josiemer MatteiDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Martha L DaviglusInstitute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA.
David L PerkinsDepartment of Medicine, University of Illinois, Chicago, IL, USA.
Robert D BurkDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-8376-8458
Eric BoerwinkleDepartment of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Frank B HuDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Qibin QiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA. qibin.qi@einsteinmed.edu.ORCID 0000-0002-2687-1758
Albert Einstein College of Medicine · USHarvard University · USThe University of Texas Health Science Center at Houston · USUniversity of Illinois Chicago · USBrigham and Women's Hospital · USUniversity of North Carolina at Chapel Hill · US

Funding

Genomic Architecture of Common Disease in Diverse Populations: WGS of Ongoing Hemorrhagic Stroke Study SupplementUM1HG008898 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2016 to 2020
$77.0M
Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI HU, FRANK B · 1992 to 2021
$25.0M
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Ultra-processed Foods, Diet Quality, and Cardiometabolic Health: An Inter-disciplinary Trans-Atlantic Collaborative ProjectR01DK120870 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Qibin Qi, Qi Sun · 2019 to 2026
$4.2M
Integrated analysis of CVD risk in HIV: gut microbiota, immune function and metabolitesR01HL140976 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KAPLAN, ROBERT C, KNIGHT, ROB · 2018 to 2021
$3.3M
Cardiometabolic Outcomes in Multi-ethnic Physical Activity & Sedentary Behavior Study (COMPASS)R01HL136266 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KAPLAN, ROBERT C, MOSSAVAR-RAHMANI, YASMIN · 2017 to 2020
$3.1M
Circulating plasma metabolites, diet, and risk of type 2 diabetesR01DK112940 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B, MORA, SAMIA · 2018 to 2021
$2.9M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
Human Gut Microbiome and Incident Diabetes Risk in U.S. PopulationsR01DK126698 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QI, QIBIN, SUN, QI · 2021 to 2024
$2.5M
Metabolomics signatures underlying diet, lifestyle and gut microbiota for diabetesR01DK119268 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI QI, QIBIN · 2019 to 2022
$2.4M
GENETIC ARCHITECTURE OF PLASMA T-PA AND PAI-1R01HL065234 · NHLBI · VANDERBILT UNIVERSITY · PI MOORE, JASON H. · 2000 to 2004
$1.7M
NHGRI NIH HHS HHSN268201300003CNHGRI NIH HHS UM1 HG008898NHLBI NIH HHS HHSN268201300001CNHLBI NIH HHS HHSN268201300004CNHLBI NIH HHS HHSN268201300005CNHLBI NIH HHS K01 HL129892NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01HL060712NHLBI NIH HHS R01 HL136266NHLBI NIH HHS R01 HL140976NIDDK NIH HHS P30 DK046200NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R01 DK112940NIDDK NIH HHS R01 DK119268NIDDK NIH HHS R01DK119268NIDDK NIH HHS R01 DK120870NIDDK NIH HHS R01 DK126698
6 · The paper itself

Abstract

aims/hypothesisWe aimed to evaluate associations of multiple recommended dietary patterns (i.e. the alternate Mediterranean diet [aMED], the Healthy Eating Index [HEI]-2015 and the healthful Plant-based Diet Index [hPDI]) with serum metabolite profile, and to examine dietary-pattern-associated metabolites in relation to incident diabetes.

methodsWe included 2842 adult participants free from diabetes, CVD and cancer during baseline recruitment of the Hispanic Community Health Study/Study of Latinos. Metabolomics profiling of fasting serum was performed using an untargeted approach. Dietary pattern scores were derived using information collected by two 24 h dietary recalls. Dietary-pattern-associated metabolites were identified using multivariable survey linear regressions and their associations with incident diabetes were assessed using multivariable survey Poisson regressions with adjustment for traditional risk factors.

resultsWe identified eight metabolites (mannose, γ/β-tocopherol, N1-methylinosine, pyrraline and four amino acids) that were inversely associated with all dietary scores. These metabolites were detrimentally associated with various cardiometabolic risk traits, especially insulin resistance. A score comprised of these metabolites was associated with elevated risk of diabetes (RR CONCLUSIONS/

interpretationVarious recommended dietary patterns were inversely related to a group of metabolites that were associated with elevated risk of diabetes. Adhering to a healthful eating pattern may attenuate or eliminate the detrimental association between metabolically unhealthy serum metabolites and risk of diabetes.

Indexed as

Diabetes MellitusDiet, MediterraneanAdultDietFeeding BehaviorHispanic or LatinoHumansProspective StudiesRisk FactorsDiabetesDietary guidelinesDietary patternsMetabolomics

Identifiers

PMID35357561
PMCPMC9890970
OpenAlexW4220874558

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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.