Evidence map›Paper›PMID 38160800›Full record

ArticleThe American journal of clinical nutrition2024

Plasma lipidomic markers of diet quality are associated with incident coronary heart disease in American Indian adults: the Strong Heart Family Study.

Xiaoxiao Wen, Amanda M Fretts, Guanhong Miao, Kimberly M Malloy, Ying Zhang, Jason G Umans, Shelley A Cole, Lyle G Best, Oliver Fiehn, Jinying Zhao

Open access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2024. 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
2.9field-weighted citation impact, top 9% 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, 10 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

10 authors at 7 institutions in 1 country.

Xiaoxiao WenDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, United States; Center for Genetic Epidemiology and Bioinformatics, University of Florida, Gainesville, FL, United States.
Amanda M FrettsDepartment of Epidemiology, University of Washington, Seattle, WA, United States.
Guanhong MiaoDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, United States; Center for Genetic Epidemiology and Bioinformatics, University of Florida, Gainesville, FL, United States.
Kimberly M MalloyCenter for American Indian Health Research, Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Ying ZhangCenter for American Indian Health Research, Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Jason G UmansBiomarker, Biochemistry, and Biorepository Core, MedStar Health Research Institute, Hyattsville, MD, United States; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, United States.
Shelley A ColePopulation Health, Texas Biomedical Research Institute, San Antonio, TX, United States.
Lyle G BestMissouri Breaks Industries Research, Timber Lake, SD, United States.
Oliver FiehnWest Coast Metabolomics Center, University of California-Davis, Davis, CA, United States.
Jinying ZhaoDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, United States; Center for Genetic Epidemiology and Bioinformatics, University of Florida, Gainesville, FL, United States. Electronic address: jzhao66@ufl.edu.
University of Florida Health · USUniversity of Oklahoma Health Sciences Center · USGeorgetown-Howard Universities Center for Clinical and Translational Science · USMissouri Breaks Industries Research (United States) · USTexas Biomedical Research Institute · USUniversity of California, Davis · USUniversity of Washington · US

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
The Strong Heart Study, Phase VU01HL041654 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LEE, ELISA TAN · 1988 to 2013
$19.2M
CARDIOVASCULAR DISEASE IN THE PIMA INDIANSU01HL041642 · NHLBI · MEDSTAR RESEARCH INSTITUTE · PI HOWARD, BARBARA V · 1988 to 2013
$12.6M
STRONG HEART FAMILY STUDYU01HL065520 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2000 to 2011
$8.9M
CARDIOVASCULAR DISEASE IN SIOUX INDIANSU01HL041652 · NHLBI · U.S. PHS INDIAN HEALTH SERVICE · PI BEST, LYLE G · 1988 to 2013
$7.9M
CVD in American Indians Study and Data Management Center and OK Field CenterR01HL109284 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI STONER, JULIE A · 2013 to 2018
$4.6M
CARDIOVASCULAR EVALUATION--STRONG HEART STUDY PHASE IVU01HL065521 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DEVEREUX, RICHARD B · 2000 to 2013
$4.3M
CVD in American Indians Biomarker lab and Arizona Field CenterR01HL109319 · NHLBI · MEDSTAR HEALTH RESEARCH INSTITUTE · PI UMANS, JASON G · 2013 to 2017
$3.6M
CVD in American Indians Genetics CenterR01HL109301 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2013 to 2018
$3.2M
CVD in American Indians The Dakota Field CenterR01HL109315 · NHLBI · MISSOURI BREAKS RESEARCH, INC. · PI JOLLY, STACEY · 2013 to 2018
$1.9M
CVD in American Indians: Imaging and Cardiovascular CenterR01HL109282 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DEVEREUX, RICHARD B · 2013 to 2018
$793k
NHLBI NIH HHS R01 HL109282NHLBI NIH HHS R01 HL109284NHLBI NIH HHS R01 HL109301NHLBI NIH HHS R01 HL109315NHLBI NIH HHS R01 HL109319NHLBI NIH HHS U01 HL041642NHLBI NIH HHS U01 HL041652NHLBI NIH HHS U01 HL041654NHLBI NIH HHS U01 HL065520NHLBI NIH HHS U01 HL065521NIH HHS P51 OD011133
6 · The paper itself

Abstract

backgroundIdentifying lipidomic markers of diet quality is needed to inform the development of biomarkers of diet, and to understand the mechanisms driving the diet- coronary heart disease (CHD) association.

objectivesThis study aimed to identify lipidomic markers of diet quality and examine whether these lipids are associated with incident CHD.

methodsUsing liquid chromatography-mass spectrometry, we measured 1542 lipid species from 1694 American Indian adults (aged 18-75 years, 62% female) in the Strong Heart Family Study. Participants were followed up for development of CHD through 2020. Information on the past year diet was collected using the Block Food Frequency Questionnaire, and diet quality was assessed using the Alternative Healthy Eating Index-2010 (AHEI). Mixed-effects linear regression was used to identify individual lipids cross-sectionally associated with AHEI. In prospective analysis, Cox frailty model was used to estimate the hazard ratio (HR) of each AHEI-related lipid for incident CHD. All models were adjusted for age, sex, center, education, body mass index, smoking, alcohol drinking, level of physical activity, energy intake, diabetes, hypertension, and use of lipid-lowering drugs. Multiple testing was controlled at a false discovery rate of <0.05.

resultsAmong 1542 lipid species measured, 71 lipid species (23 known), including acylcarnitine, cholesterol esters, glycerophospholipids, sphingomyelins and triacylglycerols, were associated with AHEI. Most of the identified lipids were associated with consumption of ω-3 (n-3) fatty acids. In total, 147 participants developed CHD during a mean follow-up of 17.8 years. Among the diet-related lipids, 10 lipids [5 known: cholesterol ester (CE)(22:5)B, phosphatidylcholine (PC)(p-14:0/22:1)/PC(o-14:0/22:1), PC(p-38:3)/PC(o-38:4)B, phosphatidylethanolamine (PE)(p-18:0/20:4)/PE(o-18:0/20:4), and sphingomyelin (d36:2)A] were associated with incident CHD. On average, each standard deviation increase in the baseline level of these 5 lipids was associated with 17%-23% increased risk of CHD (from HR: 1.17; 95% CI: 1, 1.36; to HR: 1.23; 95% CI: 1.05, 1.43).

conclusionsIn this study, lipidomic markers of diet quality in American Indian adults are found. Some diet-related lipids are associated with risk of CHD beyond established risk factors.

Indexed as

American Indian or Alaska NativeCoronary DiseaseAdolescentAdultAgedCholesterol EstersDietFemaleHumansLipidomicsMaleMiddle AgedPhosphatidylcholinesRisk FactorsTriglyceridesYoung AdultCholesterol EstersPhosphatidylcholinesTriglyceridesAlternative Healthy Eating IndexAmerican Indian adultscoronary heart diseasediet qualitylipidomicsStrong Heart Study

Identifiers

PMID38160800
PMCPMC11347812
OpenAlexW4390431162

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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.