Evidence map›Paper›PMID 39207880›Full record

ReviewAnnual review of nutrition2024

Decoding the Foodome: Molecular Networks Connecting Diet and Health.

Giulia Menichetti, Albert-László Barabási, Joseph Loscalzo

Abstract readReview
In one paragraph

Review in Annual review of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Chemical Complexity of Food and Implications for Therapeutics.The New England journal of medicine · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. GroceryDB: Prevalence of Processed Food in Grocery Stores.medRxiv : the preprint server for health sciences · 2025
    Article
  13. Review
  14. 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

3 authors.

Giulia MenichettiDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; email: jloscalzo@bwh.harvard.edu.
Albert-László BarabásiDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; email: jloscalzo@bwh.harvard.edu.
Joseph LoscalzoDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; email: jloscalzo@bwh.harvard.edu.

Funding

L-2-Hydroxyglutarate and Metabolic Remodeling in HypoxiaR01HL155107 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Joseph Loscalzo · 2021 to 2026
$4.1M
Personalized protein-protein interactomes and precision medicine in pulmonary arterial hypertensionR01HL155096 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI MARON, BRADLEY · 2021 to 2024
$1.6M
Methods for Unraveling the Impact of Dietary Xenobiotics on COPD Exacerbations with Multi-Dimensional NetworksK25HL173665 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Giulia Menichetti · 2024 to 2026
$487k
NHLBI NIH HHS K25 HL173665NHLBI NIH HHS R01 HL155096NHLBI NIH HHS R01 HL155107
6 · The paper itself

Abstract

Diet, a modifiable risk factor, plays a pivotal role in most diseases, from cardiovascular disease to type 2 diabetes mellitus, cancer, and obesity. However, our understanding of the mechanistic role of the chemical compounds found in food remains incomplete. In this review, we explore the "dark matter" of nutrition, going beyond the macro- and micronutrients documented by national databases to unveil the exceptional chemical diversity of food composition. We also discuss the need to explore the impact of each compound in the presence of associated chemicals and relevant food sources and describe the tools that will allow us to do so. Finally, we discuss the role of network medicine in understanding the mechanism of action of each food molecule. Overall, we illustrate the important role of network science and artificial intelligence in our ability to reveal nutrition's multifaceted role in health and disease.

Indexed as

DietArtificial IntelligenceFoodHumansartificial intelligencecomplexitymachine learningnetwork medicinenetwork sciencenutritionsystems pharmacology

Identifiers

PMID39207880
PMCPMC11610447

What OpenQuestion holds

Textmetadata
LicenceTDM
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.