Evidence mapPaperPMID 37541543Full record

SynthesisThe Journal of nutrition2023

Serum Metabolomic Markers of Dairy Consumption: Results from the Atherosclerosis Risk in Communities Study and the Bogalusa Heart Study.

Lauren Bernard, Jingsha Chen, Hyunju Kim, Zhijie Huang, Lydia Bazzano, Lu Qi, Jiang He, Varun S Rao, Kaitlin S Potts, Tanika N Kelly and 5 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Serum Metabolomic Markers of Dietary Potassium and Risk of CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  5. Article
  6. 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

15 authors at 6 institutions in 1 country.

Lauren BernardDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Jingsha ChenDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Hyunju KimDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Zhijie HuangDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
Lydia BazzanoDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
Lu QiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
Varun S RaoDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.
Kaitlin S PottsDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, United States.
Tanika N KellyDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States; Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, IL, United States.
Kari E WongMetabolon, Research Triangle Park, Morrisville, NC, United States.
Lyn M SteffenDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, United States.
Bing YuDepartment of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, United States.
Eugene P RheeDivision of Nephrology and Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States. Electronic address: crebhol1@jhu.edu.
Tulane University · USJohns Hopkins University · USHarvard University · USThe University of Texas Health Science Center at Houston · USTriangle · USUniversity of Minnesota · US

Funding

Proteomic and epigenetic alterations associated with plant-based diets and CVDK01HL168232 · UNIVERSITY OF WASHINGTON · 2025 to 2025
$219k
Metabolomic Markers of Dietary Factors Associated with Kidney HealthR03DK128386 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Casey Marie Rebholz · 2022 to 2022
$123k
NHGRI NIH HHS U01 HG004402NHLBI NIH HHS F31 HL151232NHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005INHLBI NIH HHS K01 HL168232NHLBI NIH HHS R01 HL153178NIA NIH HHS R21 AG051914NIDDK NIH HHS R03 DK128386
6 · The paper itself

Abstract

backgroundDairy consumption is related to chronic disease risk; however, the measurement of dairy consumption has largely relied upon self-report. Untargeted metabolomics allows for the identification of objective markers of dietary intake.

objectivesWe aimed to identify associations between dietary dairy intake (total dairy, low-fat dairy, and high-fat dairy) and serum metabolites in 2 independent study populations of United States adults.

methodsDietary intake was assessed with food frequency questionnaires. Multivariable linear regression models were used to estimate cross-sectional associations between dietary intake of dairy and 360 serum metabolites analyzed in 2 subgroups of the Atherosclerosis Risk in Communities study (ARIC; n = 3776). Results from the 2 subgroups were meta-analyzed using fixed effects meta-analysis. Significant meta-analyzed associations in the ARIC study were then tested in the Bogalusa Heart Study (BHS; n = 785).

resultsIn the ARIC study and BHS, the mean age was 54 and 48 years, 61% and 29% were Black, and the mean dairy intake was 1.7 and 1.3 servings/day, respectively. Twenty-nine significant associations between dietary intake of dairy and serum metabolites were identified in the ARIC study (total dairy, n = 14; low-fat dairy, n = 10; high-fat dairy, n = 5). Three associations were also significant in BHS: myristate (14:0) was associated with high-fat dairy, and pantothenate was associated with total dairy and low-fat dairy, but 23 of the 27 associations significant in the ARIC study and tested in BHS were not associated with dairy in BHS.

conclusionsWe identified metabolomic associations with dietary intake of dairy, including 3 associations found in 2 independent cohort studies. These results suggest that myristate (14:0) and pantothenate (vitamin B5) are candidate biomarkers of dairy consumption.

Indexed as

AtherosclerosisMyristatesAdultBiomarkersCross-Sectional StudiesDairy ProductsDietHumansLongitudinal StudiesRisk FactorsUnited StatesBiomarkersMyristatesdairy proteindietary proteinhigh-fat dairylow-fat dairymetabolomicsnutrition

Identifiers

PMID37541543
PMCPMC10613758
OpenAlexW4385507218

What Socratic holds

Textmetadata
Read underepoch 390

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.