Evidence map›Paper›PMID 24910946›Full record

ArticleOmics : a journal of integrative biology2014

Medium-term variability of the human serum metabolome in the Atherosclerosis Risk in Communities (ARIC) study.

Yan Zheng, Bing Yu, Danny Alexander, David J Couper, Eric Boerwinkle

Open access · greenAbstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Reproducibility of Plasma Metabolome over 1 Year in a Population-Based Cohort of Black Breast Cancer Survivors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Metabolomics Research in Chronic Kidney Disease.Journal of the American Society of Nephrology : JASN · 2018 · on this map
    Article
  9. Article
  10. Article
  11. Article
  12. 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

5 authors at 4 institutions in 1 country.

Yan Zheng1 Division of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston , Houston, Texas.
Bing Yu
Danny Alexander
David J Couper
Eric Boerwinkle
The University of Texas Health Science Center at Houston · USBaylor College of Medicine · USMetabolon (United States) · USUniversity of North Carolina at Chapel Hill · US

Funding

GWA for Gene-Environment Interaction Effects Influencing CHDU01HG004402 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2007 to 2009
$1.6M
NHGRI NIH HHS 3U01HG004402-02S1NHGRI NIH HHS U01 HG004402NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012C
6 · The paper itself

Abstract

Metabolomics is a systems biology tool providing small molecule signatures of disease etiology. In order to estimate the biologic variability of the human serum metabolome, this study calculated intraclass correlation coefficients (ICCs) for 178 stably-detected metabolites measured by untargeted chromatography/mass spectrometry. We studied a subsample of 60 participants (57% males, 70% Caucasians, aged 73.77±5.3 years) in the Atherosclerosis Risk in Communities (ARIC) Study who provided two fasting serum samples 4-6 weeks apart. The median ICC across all metabolites was 0.60, and 82% of metabolites had at least fair variability (i.e., ICC>= 0.40). There was variation in the medium-term variability among metabolites, with those in the pathways of amino acid and lipid metabolism showing relatively high ICCs, and those in the carbohydrate pathway showing relatively low ICCs. The results of this study provide a valuable resource for future study design and outcome interpretation of mass spectrometry-based metabolomic studies in epidemiology.

Indexed as

MetabolomeAtherosclerosisChromatography, LiquidFemaleGas Chromatography-Mass SpectrometryHumansMaleMass SpectrometryMiddle AgedSerum

Identifiers

PMID24910946
PMCPMC4048570
OpenAlexW2333179791

What OpenQuestion 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 OpenQuestion graph.