FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308291786> ?p ?o ?g. }

• W4308291786 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." @default.
• W4308291786 created "2022-11-10" @default.
• W4308291786 creator A5001772343 @default.
• W4308291786 creator A5012989596 @default.
• W4308291786 creator A5053106903 @default.
• W4308291786 date "2022-11-05" @default.
• W4308291786 modified "2023-10-17" @default.
• W4308291786 title "Amino acid variability, tradeoffs and optimality in human diet" @default.
• W4308291786 cites W1910057713 @default.
• W4308291786 cites W1924042297 @default.
• W4308291786 cites W2003219770 @default.
• W4308291786 cites W2010025771 @default.
• W4308291786 cites W2014332852 @default.
• W4308291786 cites W2029477556 @default.
• W4308291786 cites W2030527483 @default.
• W4308291786 cites W2056756011 @default.
• W4308291786 cites W2074389004 @default.
• W4308291786 cites W2108967474 @default.
• W4308291786 cites W2115321988 @default.
• W4308291786 cites W2119642783 @default.
• W4308291786 cites W2122367003 @default.
• W4308291786 cites W2129678541 @default.
• W4308291786 cites W2146527155 @default.
• W4308291786 cites W2153267681 @default.
• W4308291786 cites W2156924995 @default.
• W4308291786 cites W2166000498 @default.
• W4308291786 cites W2170305412 @default.
• W4308291786 cites W2170900258 @default.
• W4308291786 cites W2171454102 @default.
• W4308291786 cites W2592281222 @default.
• W4308291786 cites W2607135274 @default.
• W4308291786 cites W2750582921 @default.
• W4308291786 cites W2750998547 @default.
• W4308291786 cites W2785559034 @default.
• W4308291786 cites W2800512184 @default.
• W4308291786 cites W2804460705 @default.
• W4308291786 cites W2808282717 @default.
• W4308291786 cites W2809125373 @default.
• W4308291786 cites W2809999132 @default.
• W4308291786 cites W2810912404 @default.
• W4308291786 cites W2866743330 @default.
• W4308291786 cites W2885382674 @default.
• W4308291786 cites W2888868369 @default.
• W4308291786 cites W2895048228 @default.
• W4308291786 cites W2909678677 @default.
• W4308291786 cites W2922809418 @default.
• W4308291786 cites W2928467655 @default.
• W4308291786 cites W2941943504 @default.
• W4308291786 cites W2964871068 @default.
• W4308291786 cites W2972936715 @default.
• W4308291786 cites W2974335854 @default.
• W4308291786 cites W2979957578 @default.
• W4308291786 cites W2995026154 @default.
• W4308291786 cites W3008217150 @default.
• W4308291786 cites W3013536588 @default.
• W4308291786 cites W3018515813 @default.
• W4308291786 cites W3033295591 @default.
• W4308291786 cites W3046337317 @default.
• W4308291786 cites W3048569636 @default.
• W4308291786 cites W3125610267 @default.
• W4308291786 cites W3125809117 @default.
• W4308291786 cites W3182390470 @default.
• W4308291786 cites W4230389746 @default.
• W4308291786 cites W4249493171 @default.
• W4308291786 doi "https://doi.org/10.1038/s41467-022-34486-0" @default.
• W4308291786 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36335142" @default.
• W4308291786 hasPublicationYear "2022" @default.
• W4308291786 type Work @default.
• W4308291786 citedByCount "5" @default.
• W4308291786 countsByYear W43082917862023 @default.
• W4308291786 crossrefType "journal-article" @default.
• W4308291786 hasAuthorship W4308291786A5001772343 @default.
• W4308291786 hasAuthorship W4308291786A5012989596 @default.
• W4308291786 hasAuthorship W4308291786A5053106903 @default.
• W4308291786 hasBestOaLocation W43082917861 @default.
• W4308291786 hasConcept C134018914 @default.
• W4308291786 hasConcept C144024400 @default.
• W4308291786 hasConcept C150903083 @default.
• W4308291786 hasConcept C199360897 @default.
• W4308291786 hasConcept C2780801425 @default.
• W4308291786 hasConcept C2987857752 @default.
• W4308291786 hasConcept C30772137 @default.
• W4308291786 hasConcept C31903555 @default.
• W4308291786 hasConcept C35127690 @default.
• W4308291786 hasConcept C36289849 @default.
• W4308291786 hasConcept C41008148 @default.
• W4308291786 hasConcept C511355011 @default.
• W4308291786 hasConcept C515207424 @default.
• W4308291786 hasConcept C55493867 @default.
• W4308291786 hasConcept C71924100 @default.
• W4308291786 hasConcept C86803240 @default.
• W4308291786 hasConcept C99454951 @default.
• W4308291786 hasConceptScore W4308291786C134018914 @default.
• W4308291786 hasConceptScore W4308291786C144024400 @default.
• W4308291786 hasConceptScore W4308291786C150903083 @default.
• W4308291786 hasConceptScore W4308291786C199360897 @default.
• W4308291786 hasConceptScore W4308291786C2780801425 @default.
• W4308291786 hasConceptScore W4308291786C2987857752 @default.
• W4308291786 hasConceptScore W4308291786C30772137 @default.
• W4308291786 hasConceptScore W4308291786C31903555 @default.

• next