Evidence map›Paper›PMID 36774102›Full record

ArticleThe Journal of nutrition2022

Diet Patterns Are Associated with Circulating Metabolites and Lipid Profiles of South Asians in the United States.

Meghana D Gadgil, Alka M Kanaya, Caroline Sands, Elena Chekmeneva, Matthew R Lewis, Namratha R Kandula, David M Herrington

Open access · greenAbstract read
In one paragraph

Article in The Journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  6. Trigonelline is an NADNature metabolism · 2024
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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

7 authors at 4 institutions in 2 countries.

Meghana D GadgilDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA. Electronic address: meghana.gadgil@ucsf.edu.
Alka M KanayaDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Caroline SandsNational Phenome Centre, Imperial College London, London, United Kingdom.
Elena ChekmenevaNational Phenome Centre, Imperial College London, London, United Kingdom.
Matthew R LewisNational Phenome Centre, Imperial College London, London, United Kingdom.
Namratha R KandulaDivision of General Internal Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
David M HerringtonSection on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Imperial College London · GBUniversity of California, San Francisco · USNorthwestern University · USWake Forest University · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Genomic and Proteomic Architecture of AtherosclerosisR01HL111362 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HERRINGTON, DAVID MCLEOD · 2012 to 2021
$17.2M
UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Mediators of Atherosclerosis in South Asians Living in AmericaR01HL093009 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M. · 2010 to 2018
$5.4M
Ectopic fat and atherosclerosis in South AsiansK24HL112827 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M. · 2013 to 2022
$1.2M
Prevention of Type 2 Diabetes through Diet and MetabolomicsK23DK119404 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GADGIL, MEGHANA DIPTI · 2019 to 2021
$662k
Department of Health NC-PC-12025Medical Research Council MR/S010483/1NCRR NIH HHS UL1 RR024131NHLBI NIH HHS K24 HL112827NHLBI NIH HHS R01 HL093009NHLBI NIH HHS R01 HL111362NIDDK NIH HHS K23 DK119404NIDDK NIH HHS P30 DK092924NIDDK NIH HHS P30 DK098722
6 · The paper itself

Abstract

backgroundSouth Asians are at higher risk for cardiometabolic disease than many other racial/ethnic minority groups. Diet patterns in US South Asians have unique components associated with cardiometabolic disease.

objectivesWe aimed to characterize the metabolites associated with 3 representative diet patterns.

methodsWe included 722 participants in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) cohort study aged 40-84 y without known cardiovascular disease. Fasting serum specimens and diet and demographic questionnaires were collected at baseline and diet patterns previously generated through principal components analysis. LC-MS-based untargeted metabolomic and lipidomic analysis was conducted with targeted integration of known metabolite and lipid signals. Linear regression models of diet pattern factor score and log-transformed metabolites adjusted for age, sex, caloric intake, and BMI and adjusted for multiple comparisons were performed, followed by elastic net linear regression of significant metabolites.

resultsThere were 443 metabolites of known identity extracted from the profiling data. The "animal protein" diet pattern was associated with 61 metabolites and lipids, including glycerophospholipids phosphatidylethanolamine PE(O-16:1/20:4) and/or PE(P-16:0/20:4) (β: 0.13; 95% CI: 0.11, 0.14) and N-acyl phosphatidylethanolamines (NAPEs) NAPE(O-18:1/20:4/18:0) and/or NAPE(P-18:0/20:4/18:0) (β: 0.13; 95% CI: 0.11, 0.14), lysophosphatidylinositol (LPI) (22:6/0:0) (β: 0.14; 95% CI: 0.12, 0.17), and fatty acid (FA) (22:6) (β: 0.15; 95% CI: 0.13, 0.17). The "fried snacks, sweets, high-fat dairy" pattern was associated with 12 lipids, including PC(16:0/22:6) (β: -0.08; 95% CI: -0.09, -0.06) and FA (22:6) (β: 0.14; 95% CI: -0.17, -0.10). The "fruits, vegetables, nuts, and legumes" pattern was associated with 5 metabolites including proline betaine (β: 0.17; 95% CI: 0.09, 0.25) (P < 0.0002).

conclusionsThree predominant dietary patterns in US South Asians are associated with circulating metabolites differentiated by lipids including glycerophospholipids and PUFAs and the amino acid proline betaine.

Indexed as

Cardiovascular DiseasesEthnicityCohort StudiesDietHumansLipidsMinority GroupsSouth Asian PeopleUnited StatesVegetablesLipidscardiovascular riskdiet patternslipidsmetabolomicsSouth Asian

Identifiers

PMID36774102
PMCPMC10157813
OpenAlexW4293574774

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.