Evidence map›Paper›PMID 26283345›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Plasma metabolomic profiles enhance precision medicine for volunteers of normal health.

Lining Guo, Michael V Milburn, John A Ryals, Shaun C Lonergan, Matthew W Mitchell, Jacob E Wulff, Danny C Alexander, Anne M Evans, Brandi Bridgewater, Luke Miller and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

98 citing papers in PubMed, 173 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Leptin-Mediated Changes in the Human Metabolome.The Journal of clinical endocrinology and metabolism · 2020
    Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Primary open-angle glaucoma: a perspective from plasma metabolomics.Expert review of molecular diagnostics · 2025
    Review
  13. Article
  14. High-Diversity Plant-Based Diet and Gut Microbiome, Plasma Metabolome, and Symptoms in Adults with CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

38 more citing papers are in PubMed but not listed here.

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

12 authors at 4 institutions in 2 countries.

Lining GuoMetabolon, Inc., Durham, NC 27713; lguo@metabolon.com tcaskey@bcm.edu.
Michael V MilburnMetabolon, Inc., Durham, NC 27713;
John A RyalsMetabolon, Inc., Durham, NC 27713;
Shaun C LonerganMetabolon, Inc., Durham, NC 27713;
Matthew W MitchellMetabolon, Inc., Durham, NC 27713;
Jacob E WulffMetabolon, Inc., Durham, NC 27713;
Danny C AlexanderMetabolon, Inc., Durham, NC 27713;
Anne M EvansMetabolon, Inc., Durham, NC 27713;
Brandi BridgewaterMetabolon, Inc., Durham, NC 27713;
Luke MillerMetabolon, Inc., Durham, NC 27713;
Manuel L Gonzalez-GarayCenter for Molecular Imaging, Division of Genomics and Bioinformatics, The Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center, Houston, TX 77030;
C Thomas CaskeyDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030 lguo@metabolon.com tcaskey@bcm.edu.
Metabolon (United States) · USDurham University · GBBaylor College of Medicine · USThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine, taking account of human individuality in genes, environment, and lifestyle for early disease diagnosis and individualized therapy, has shown great promise to transform medical care. Nontargeted metabolomics, with the ability to detect broad classes of biochemicals, can provide a comprehensive functional phenotype integrating clinical phenotypes with genetic and nongenetic factors. To test the application of metabolomics in individual diagnosis, we conducted a metabolomics analysis on plasma samples collected from 80 volunteers of normal health with complete medical records and three-generation pedigrees. Using a broad-spectrum metabolomics platform consisting of liquid chromatography and GC coupled with MS, we profiled nearly 600 metabolites covering 72 biochemical pathways in all major branches of biosynthesis, catabolism, gut microbiome activities, and xenobiotics. Statistical analysis revealed a considerable range of variation and potential metabolic abnormalities across the individuals in this cohort. Examination of the convergence of metabolomics profiles with whole-exon sequences (WESs) provided an effective approach to assess and interpret clinical significance of genetic mutations, as shown in a number of cases, including fructose intolerance, xanthinuria, and carnitine deficiency. Metabolic abnormalities consistent with early indications of diabetes, liver dysfunction, and disruption of gut microbiome homeostasis were identified in several volunteers. Additionally, diverse metabolic responses to medications among the volunteers may assist to identify therapeutic effects and sensitivity to toxicity. The results of this study demonstrate that metabolomics could be an effective approach to complement next generation sequencing (NGS) for disease risk analysis, disease monitoring, and drug management in our goal toward precision care.

Indexed as

Healthy VolunteersMetabolomePlasmaPrecision MedicineChromatography, LiquidCohort StudiesGas Chromatography-Mass SpectrometryHumansdisease assessmentfunctional phenotypinggene penetrancemetabolomicswhole-exome sequencing

Identifiers

PMID26283345
PMCPMC4568216
OpenAlexW1933039715

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.