Evidence map›Paper›PMID 25901039›Full record

ReviewCirculation. Cardiovascular genetics2015

Integrated metabolomics and genomics: systems approaches to biomarkers and mechanisms of cardiovascular disease.

Svati H Shah, Christopher B Newgard

Abstract readReview
In one paragraph

Review in Circulation. Cardiovascular genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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

51 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Article
  6. Metabolites and coronary heart disease: A two sample Mendelian randomization.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Adverse cardiovascular and metabolic perturbations among older women: 'fat-craving' hearts.Clinical research in cardiology : official journal of the German Cardiac Society · 2023
    Article
  14. Article
  15. Review
  16. Data Processing and Analysis in Mass Spectrometry-Based Metabolomics.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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

2 authors.

Svati H ShahFrom the Duke Molecular Physiology Institute (S.H.S., C.B.N.), Division of Cardiology, Department of Medicine (S.H.S., C.B.N.), Department of Pharmacology and Cancer Biology and Division of Endocrinology, Department of Medicine, and the Sarah W. Stedman Nutrition and Metabolism Center (C.B.N.), Duke University, Durham, NC. svati.shah@duke.edu.
Christopher B NewgardFrom the Duke Molecular Physiology Institute (S.H.S., C.B.N.), Division of Cardiology, Department of Medicine (S.H.S., C.B.N.), Department of Pharmacology and Cancer Biology and Division of Endocrinology, Department of Medicine, and the Sarah W. Stedman Nutrition and Metabolism Center (C.B.N.), Duke University, Durham, NC.

Funding

TARGETED RESPONSIVE MR AND PET AGENTS FOR B-CELL IMAGINGP01DK058398 · NIDDK · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI NEWGARD, CHRISTOPHER B · 2000 to 2016
$26.1M
Metabolomic Quantitative Trait Locus (mQTL) Genetic Mapping in Human CVDR01HL095987 · NHLBI · DUKE UNIVERSITY · PI SHAH, SVATI H. · 2009 to 2013
$3.4M
NHLBI NIH HHS HL095987NHLBI NIH HHS R01 HL095987NIDDK NIH HHS P01 DK058398NIDDK NIH HHS P01-DK58398
6 · The paper itself

Abstract

The genetic architecture underlying the heritability of cardiovascular disease is incompletely understood. Metabolomics is an emerging technology platform that has shown early success in identifying biomarkers and mechanisms of common chronic diseases. Integration of metabolomics, genetics, and other omics platforms in a systems biology approach holds potential for elucidating novel genetic markers and mechanisms for cardiovascular disease. We review important studies that have used metabolomic profiling in cardiometabolic diseases, approaches for integrating metabolomics with genetics and other molecular profiling platforms, and key studies showing the potential for such studies in deciphering cardiovascular disease genetics, biomarkers, and mechanisms.

Indexed as

Genetic MarkersBiomarkersCardiovascular DiseasesFemaleGenomicsHumansMaleMetabolomicsBiomarkersGenetic Markersgenomicsmetabolismmetabolomicsrisk factor

Identifiers

PMID25901039
PMCPMC4408557

What OpenQuestion holds

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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.