ArticleNature communications2022
Amino acid variability, tradeoffs and optimality in human diet.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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.
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Who cites it
36 citing papers in PubMed, 54 citations in OpenAlex.
- Macronutrient mixtures and interactions in health and disease.Nature reviews. Endocrinology · 2026Review
- Article
- Synthesis and Characterization of New Functionalized Pyrimidine (Hetero)Cyclic Molecular Hybrids as Chiral Heterocyclic Amino Acid Derivatives.Molecules (Basel, Switzerland) · 2026Article
- Interactions Between Plant Proteins and Gut Microbiota as Determinants of Intestinal Health.Microorganisms · 2026Review
- Association between dietary amino acid intake and the risk of metabolic dysfunction-associated steatotic liver disease.Journal of advanced research · 2026Article
- Gut microbial metabolites of amino acids in liver diseases.Gut microbes · 2025Review
- The adaptive tasks and trade-offs that drive the human value system.Communications psychology · 2025Article
- L-proline supplementation affects non-volatile flavour perception through oral microbiome metabolic pathways.NPJ science of food · 2025Article
- A new wide-scope, multi-biomarker wastewater-based epidemiology analytical method to monitor the health and well-being of inhabitants at a metropolitan scale.Analytical and bioanalytical chemistry · 2025Article
- Manipulating dietary protein and amino acids in the common marmoset Callithrix jacchus impacts circulating metabolites and FGF21 levels.Scientific reports · 2025Article
- Dynamic interaction of sweet and sour taste perceptions based on sucrose and citric acid.NPJ science of food · 2025Article
- Article
- Nutrient intakes and metabolomic profiles associated with animal source energy percentage in children's diets.Scientific reports · 2025Article
- Review
- Red Meat Amino Acids for Beginners: A Narrative Review.Nutrients · 2025Review
- The molecular pathways leading to GABA and lactic acid accumulation in florets of organic broccoli rabe (Horticulture research · 2025Article
- Article
- Article
- Umami and saltiness enhancements of textured pea proteins by combining protease- and glutaminase-catalyzed reactions.Current research in food science · 2025Article
- Nutrient adequacy and environmental foot-print of Mediterranean, pesco-, ovo-lacto-, and vegan menus: a modelling study.Frontiers in nutrition · 2025Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Studies at the molecular level demonstrate that dietary amino acid intake produces substantial effects on health and disease by modulating metabolism. However, how these effects may manifest in human food consumption and dietary patterns is unknown. Here, we develop a series of algorithms to map, characterize and model the landscape of amino acid content in human food, dietary patterns, and individual consumption including relations to health status, covering over 2,000 foods, ten dietary patterns, and over 30,000 dietary profiles. We find that the type of amino acids contained in foods and human consumption is highly dynamic with variability far exceeding that of fat and carbohydrate. Some amino acids positively associate with conditions such as obesity while others contained in the same food negatively link to disease. Using linear programming and machine learning, we show that these health trade-offs can be accounted for to satisfy biochemical constraints in food and human eating patterns to construct a Pareto front in dietary practice, a means of achieving optimality in the face of trade-offs that are commonly considered in economic and evolutionary theories. Thus this study may enable the design of human protein quality intake guidelines based on a quantitative framework.
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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.