Evidence map›Paper›PMID 42459212›Full record

ReviewJournal of nutritional science2026

Precision nutrition in Asian populations: a Multi-omics review of mechanisms, biomarkers, and implementation pathways.

Minjoo Kim

Abstract readReview
In one paragraph

Review in Journal of nutritional science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Minjoo KimDepartment of Food and Nutrition, Hannam University, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-4261-9333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid expansion of omics technologies has created new opportunities to understand inter-individual variations in metabolic responses to diet. Such advances are particularly relevant for Asian populations, which exhibit distinct metabolic characteristics, including increased visceral adiposity, reduced β-cell reserves, and heightened susceptibility to type 2 diabetes at lower BMI levels, compared to Western populations. This review synthesizes the current evidence on metabolomic and genomic biomarkers associated with metabolic health in Asians and outlines the mechanistic pathways through which diet influences these biomarkers. Metabolomic signatures, such as lysophosphatidylcholines, micronutrient-derived metabolites, amino acid profiles, and oxidative stress indicators, have demonstrated strong potential for the early detection of metabolic dysfunction. In addition, carbohydrate-related markers of glycemic excursions, microbiome-derived metabolites, and diet-responsive fatty acid profiles may help capture the heterogeneity in postprandial regulation and diet responsiveness. Genetic variants enriched in Asian populations, including

Indexed as

Asian PeopleDietPrecision MedicineBiomarkersDiabetes Mellitus, Type 2HumansMetabolomicsMultiomicsBiomarkersDiet–metabolism interactionsGenomicsMetabolic biomarkersMetabolic diseasesMetabolomicsPrecision nutrition

Identifiers

PMID42459212
PMCPMC13369258

What Socratic 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 Socratic graph.