Evidence map›Paper›PMID 30936893›Full record

ArticleFrontiers in genetics2019

A Conceptual Framework for Studying and Investing in Precision Nutrition.

Steven H Zeisel

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Precision Nutrition: Recent Advances in Obesity.Physiology (Bethesda, Md.) · 2023
    Review
  10. Review
  11. Review
  12. Article
  13. Are recommended dietary patterns equitable?Public health nutrition · 2022
    Article
  14. Article
  15. Article
  16. Frontiers in neuroscience · 2021
    Article
  17. Article
  18. Biomarkers in critical care nutrition.Critical care (London, England) · 2020
    Review
  19. Improving natural product research translation: From source to clinical trial.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  20. 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

1 author.

Steven H ZeiselNutrition Research Institute, The University of North Carolina at Chapel Hill, Kannapolis, NC, United States.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
Nutrigenetic analysis of choline status biomarkersR01DK115380 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZEISEL, STEVEN H · 2018 to 2021
$2.8M
NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK115380NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Nutrients and food-derived bioactive molecules must transit complex metabolic pathways, and these pathways vary between people. Metabolic heterogeneity is caused by genetic variation, epigenetic variation, differences in microbiome composition and function, lifestyle differences and by variation in environmental exposures. This review discusses a number of these sources of metabolic heterogeneity and presents some of the research investments that will be needed to make applications of precision nutrition practical.

Indexed as

epigeneticsgenetic polymorphismmetabolic heterogeneitymicrobiomeprecision nutrition

Identifiers

PMID30936893
PMCPMC6431609

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.