ReviewCurrent nutrition reports2022
Metabotyping for Precision Nutrition and Weight Management: Hype or Hope?
Review in Current nutrition reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
Who cites it
15 citing papers in PubMed.
- Effects ofNutrients · 2022Trial
- Multiomics: the intersection of personalized nutrition in cardiometabolic diseases.Journal of translational medicine · 2026Review
- Foodomics in Diabetes Management: A New Approach.Food science & nutrition · 2025Review
- Dietary Modulation of Metabolic Health: From Bioactive Compounds to Personalized Nutrition.Metabolites · 2025Review
- Article
- Public perceptions of biospecimen sampling and uncertainty in the context of personalised nutrition.PloS one · 2025Article
- Computational algorithm based on health and lifestyle traits to categorize lifemetabotypes in the NUTRiMDEA cohort.Scientific reports · 2024Article
- The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center.Current nutrition reports · 2024Review
- Developing a model to predict the early risk of hypertriglyceridemia based on inhibiting lipoprotein lipase (LPL): a translational study.Scientific reports · 2023Article
- Behavioral and Psychological Factors Affecting Weight Loss Success.Current obesity reports · 2023Review
- New Advances in Metabolic Syndrome, from Prevention to Treatment: The Role of Diet and Food.Nutrients · 2023Review
- Evolution of the diagnostic value of "the sugar of the blood": hitting the sweet spot to identify alterations in glucose dynamics.Physiological reviews · 2023Review
- Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach.Frontiers in nutrition · 2023Article
- Metabolomics application for the design of an optimal diet.Journal of preventive medicine and hygiene · 2022Review
- The Niche of n-of-1 Trials in Precision Medicine for Weight Loss and Obesity Treatment: Back to the Future.Current nutrition reports · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewPrecision nutrition requires a solid understanding of the factors that determine individual responses to dietary treatment. We review the current state of knowledge in identifying human metabotypes - based on circulating biomarkers - that can predict weight loss or other relevant physiological outcomes in response to diet treatment. RECENT
findingsNot many studies have been conducted in this area and the ones identified here are heterogeneous in design and methodology, and therefore difficult to synthesize and draw conclusions. The basis of the creation of metabotypes varies widely, from using thresholds for a single metabolite to using complex algorithms to generate multi-component constructs that include metabolite and genetic information. Furthermore, available studies are a mix of hypothesis-driven and hypothesis-generating studies, and most of them lack experimental testing in human trials. Although this field of research is still in its infancy, precision-based dietary intervention strategies focusing on the metabotype group level hold promise for designing more effective dietary treatments for obesity.
Indexed as
Identifiers
35025088What OpenQuestion holds
Registered trials
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.