An integrative approach to dietary balance across the life course

Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated...
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Autor*in:	David Raubenheimer [verfasserIn] Alistair M. Senior [verfasserIn] Christen Mirth [verfasserIn] Zhenwei Cui [verfasserIn] Rong Hou [verfasserIn] David G. Le Couteur [verfasserIn] Samantha M. Solon-Biet [verfasserIn] Pierre Léopold [verfasserIn] Stephen J. Simpson [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	biological sciences physiology evolutionary biology Endocrinology

Übergeordnetes Werk:	In: iScience - Elsevier, 2019, 25(2022), 5, Seite 104315-
Übergeordnetes Werk:	volume:25 ; year:2022 ; number:5 ; pages:104315-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.isci.2022.104315

Katalog-ID:	DOAJ041996143

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520			\|a Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated trade-offs among outcomes. Additionally, the food environment may constrain which nutrient mixtures are achievable. Natural selection has equipped animals for solving such multi-dimensional, dynamic challenges of nutrition, but little is understood about the details and their theoretical and practical implications. We present an integrative framework, nutritional geometry, which models complex nutritional interactions in the context of multiple nutrients and across levels of biological organization (e.g., cellular, individual, and population) and levels of analysis (e.g., mechanistic, developmental, ecological, and evolutionary). The framework is generalizable across different situations and taxa. We illustrate this using examples spanning insects to primates and settings (laboratory, and the wild), and demonstrate its relevance for human health.
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allfields	10.1016/j.isci.2022.104315 doi (DE-627)DOAJ041996143 (DE-599)DOAJf5fbf4cca80842698fc139a0e17d58a3 DE-627 ger DE-627 rakwb eng David Raubenheimer verfasserin aut An integrative approach to dietary balance across the life course 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated trade-offs among outcomes. Additionally, the food environment may constrain which nutrient mixtures are achievable. Natural selection has equipped animals for solving such multi-dimensional, dynamic challenges of nutrition, but little is understood about the details and their theoretical and practical implications. We present an integrative framework, nutritional geometry, which models complex nutritional interactions in the context of multiple nutrients and across levels of biological organization (e.g., cellular, individual, and population) and levels of analysis (e.g., mechanistic, developmental, ecological, and evolutionary). The framework is generalizable across different situations and taxa. We illustrate this using examples spanning insects to primates and settings (laboratory, and the wild), and demonstrate its relevance for human health. biological sciences physiology evolutionary biology Endocrinology Science Q Alistair M. Senior verfasserin aut Christen Mirth verfasserin aut Zhenwei Cui verfasserin aut Rong Hou verfasserin aut David G. Le Couteur verfasserin aut Samantha M. Solon-Biet verfasserin aut Pierre Léopold verfasserin aut Stephen J. Simpson verfasserin aut In iScience Elsevier, 2019 25(2022), 5, Seite 104315- (DE-627)1019532106 25890042 nnns volume:25 year:2022 number:5 pages:104315- https://doi.org/10.1016/j.isci.2022.104315 kostenfrei https://doaj.org/article/f5fbf4cca80842698fc139a0e17d58a3 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004222005867 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 25 2022 5 104315-
spelling	10.1016/j.isci.2022.104315 doi (DE-627)DOAJ041996143 (DE-599)DOAJf5fbf4cca80842698fc139a0e17d58a3 DE-627 ger DE-627 rakwb eng David Raubenheimer verfasserin aut An integrative approach to dietary balance across the life course 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated trade-offs among outcomes. Additionally, the food environment may constrain which nutrient mixtures are achievable. Natural selection has equipped animals for solving such multi-dimensional, dynamic challenges of nutrition, but little is understood about the details and their theoretical and practical implications. We present an integrative framework, nutritional geometry, which models complex nutritional interactions in the context of multiple nutrients and across levels of biological organization (e.g., cellular, individual, and population) and levels of analysis (e.g., mechanistic, developmental, ecological, and evolutionary). The framework is generalizable across different situations and taxa. We illustrate this using examples spanning insects to primates and settings (laboratory, and the wild), and demonstrate its relevance for human health. biological sciences physiology evolutionary biology Endocrinology Science Q Alistair M. Senior verfasserin aut Christen Mirth verfasserin aut Zhenwei Cui verfasserin aut Rong Hou verfasserin aut David G. Le Couteur verfasserin aut Samantha M. Solon-Biet verfasserin aut Pierre Léopold verfasserin aut Stephen J. Simpson verfasserin aut In iScience Elsevier, 2019 25(2022), 5, Seite 104315- (DE-627)1019532106 25890042 nnns volume:25 year:2022 number:5 pages:104315- https://doi.org/10.1016/j.isci.2022.104315 kostenfrei https://doaj.org/article/f5fbf4cca80842698fc139a0e17d58a3 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004222005867 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 25 2022 5 104315-
allfields_unstemmed	10.1016/j.isci.2022.104315 doi (DE-627)DOAJ041996143 (DE-599)DOAJf5fbf4cca80842698fc139a0e17d58a3 DE-627 ger DE-627 rakwb eng David Raubenheimer verfasserin aut An integrative approach to dietary balance across the life course 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated trade-offs among outcomes. Additionally, the food environment may constrain which nutrient mixtures are achievable. Natural selection has equipped animals for solving such multi-dimensional, dynamic challenges of nutrition, but little is understood about the details and their theoretical and practical implications. We present an integrative framework, nutritional geometry, which models complex nutritional interactions in the context of multiple nutrients and across levels of biological organization (e.g., cellular, individual, and population) and levels of analysis (e.g., mechanistic, developmental, ecological, and evolutionary). The framework is generalizable across different situations and taxa. We illustrate this using examples spanning insects to primates and settings (laboratory, and the wild), and demonstrate its relevance for human health. biological sciences physiology evolutionary biology Endocrinology Science Q Alistair M. Senior verfasserin aut Christen Mirth verfasserin aut Zhenwei Cui verfasserin aut Rong Hou verfasserin aut David G. Le Couteur verfasserin aut Samantha M. Solon-Biet verfasserin aut Pierre Léopold verfasserin aut Stephen J. Simpson verfasserin aut In iScience Elsevier, 2019 25(2022), 5, Seite 104315- (DE-627)1019532106 25890042 nnns volume:25 year:2022 number:5 pages:104315- https://doi.org/10.1016/j.isci.2022.104315 kostenfrei https://doaj.org/article/f5fbf4cca80842698fc139a0e17d58a3 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004222005867 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 25 2022 5 104315-
allfieldsGer	10.1016/j.isci.2022.104315 doi (DE-627)DOAJ041996143 (DE-599)DOAJf5fbf4cca80842698fc139a0e17d58a3 DE-627 ger DE-627 rakwb eng David Raubenheimer verfasserin aut An integrative approach to dietary balance across the life course 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated trade-offs among outcomes. Additionally, the food environment may constrain which nutrient mixtures are achievable. Natural selection has equipped animals for solving such multi-dimensional, dynamic challenges of nutrition, but little is understood about the details and their theoretical and practical implications. We present an integrative framework, nutritional geometry, which models complex nutritional interactions in the context of multiple nutrients and across levels of biological organization (e.g., cellular, individual, and population) and levels of analysis (e.g., mechanistic, developmental, ecological, and evolutionary). The framework is generalizable across different situations and taxa. We illustrate this using examples spanning insects to primates and settings (laboratory, and the wild), and demonstrate its relevance for human health. biological sciences physiology evolutionary biology Endocrinology Science Q Alistair M. Senior verfasserin aut Christen Mirth verfasserin aut Zhenwei Cui verfasserin aut Rong Hou verfasserin aut David G. Le Couteur verfasserin aut Samantha M. Solon-Biet verfasserin aut Pierre Léopold verfasserin aut Stephen J. Simpson verfasserin aut In iScience Elsevier, 2019 25(2022), 5, Seite 104315- (DE-627)1019532106 25890042 nnns volume:25 year:2022 number:5 pages:104315- https://doi.org/10.1016/j.isci.2022.104315 kostenfrei https://doaj.org/article/f5fbf4cca80842698fc139a0e17d58a3 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004222005867 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 25 2022 5 104315-
allfieldsSound	10.1016/j.isci.2022.104315 doi (DE-627)DOAJ041996143 (DE-599)DOAJf5fbf4cca80842698fc139a0e17d58a3 DE-627 ger DE-627 rakwb eng David Raubenheimer verfasserin aut An integrative approach to dietary balance across the life course 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated trade-offs among outcomes. Additionally, the food environment may constrain which nutrient mixtures are achievable. Natural selection has equipped animals for solving such multi-dimensional, dynamic challenges of nutrition, but little is understood about the details and their theoretical and practical implications. We present an integrative framework, nutritional geometry, which models complex nutritional interactions in the context of multiple nutrients and across levels of biological organization (e.g., cellular, individual, and population) and levels of analysis (e.g., mechanistic, developmental, ecological, and evolutionary). The framework is generalizable across different situations and taxa. We illustrate this using examples spanning insects to primates and settings (laboratory, and the wild), and demonstrate its relevance for human health. biological sciences physiology evolutionary biology Endocrinology Science Q Alistair M. Senior verfasserin aut Christen Mirth verfasserin aut Zhenwei Cui verfasserin aut Rong Hou verfasserin aut David G. Le Couteur verfasserin aut Samantha M. Solon-Biet verfasserin aut Pierre Léopold verfasserin aut Stephen J. Simpson verfasserin aut In iScience Elsevier, 2019 25(2022), 5, Seite 104315- (DE-627)1019532106 25890042 nnns volume:25 year:2022 number:5 pages:104315- https://doi.org/10.1016/j.isci.2022.104315 kostenfrei https://doaj.org/article/f5fbf4cca80842698fc139a0e17d58a3 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004222005867 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 25 2022 5 104315-
language	English
source	In iScience 25(2022), 5, Seite 104315- volume:25 year:2022 number:5 pages:104315-
sourceStr	In iScience 25(2022), 5, Seite 104315- volume:25 year:2022 number:5 pages:104315-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	biological sciences physiology evolutionary biology Endocrinology Science Q
isfreeaccess_bool	true
container_title	iScience
authorswithroles_txt_mv	David Raubenheimer @@aut@@ Alistair M. Senior @@aut@@ Christen Mirth @@aut@@ Zhenwei Cui @@aut@@ Rong Hou @@aut@@ David G. Le Couteur @@aut@@ Samantha M. Solon-Biet @@aut@@ Pierre Léopold @@aut@@ Stephen J. Simpson @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	1019532106
id	DOAJ041996143
language_de	englisch
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author	David Raubenheimer
spellingShingle	David Raubenheimer misc biological sciences misc physiology misc evolutionary biology misc Endocrinology misc Science misc Q An integrative approach to dietary balance across the life course
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topic_title	An integrative approach to dietary balance across the life course biological sciences physiology evolutionary biology Endocrinology
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title	An integrative approach to dietary balance across the life course
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title_full	An integrative approach to dietary balance across the life course
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author_browse	David Raubenheimer Alistair M. Senior Christen Mirth Zhenwei Cui Rong Hou David G. Le Couteur Samantha M. Solon-Biet Pierre Léopold Stephen J. Simpson
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title_sort	integrative approach to dietary balance across the life course
title_auth	An integrative approach to dietary balance across the life course
abstract	Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated trade-offs among outcomes. Additionally, the food environment may constrain which nutrient mixtures are achievable. Natural selection has equipped animals for solving such multi-dimensional, dynamic challenges of nutrition, but little is understood about the details and their theoretical and practical implications. We present an integrative framework, nutritional geometry, which models complex nutritional interactions in the context of multiple nutrients and across levels of biological organization (e.g., cellular, individual, and population) and levels of analysis (e.g., mechanistic, developmental, ecological, and evolutionary). The framework is generalizable across different situations and taxa. We illustrate this using examples spanning insects to primates and settings (laboratory, and the wild), and demonstrate its relevance for human health.
abstractGer	Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated trade-offs among outcomes. Additionally, the food environment may constrain which nutrient mixtures are achievable. Natural selection has equipped animals for solving such multi-dimensional, dynamic challenges of nutrition, but little is understood about the details and their theoretical and practical implications. We present an integrative framework, nutritional geometry, which models complex nutritional interactions in the context of multiple nutrients and across levels of biological organization (e.g., cellular, individual, and population) and levels of analysis (e.g., mechanistic, developmental, ecological, and evolutionary). The framework is generalizable across different situations and taxa. We illustrate this using examples spanning insects to primates and settings (laboratory, and the wild), and demonstrate its relevance for human health.
abstract_unstemmed	Summary: Animals require specific blends of nutrients that vary across the life course and with circumstances, e.g., health and activity levels. Underpinning and complicating these requirements is that individual traits may be optimized on different dietary compositions leading to nutrition-mediated trade-offs among outcomes. Additionally, the food environment may constrain which nutrient mixtures are achievable. Natural selection has equipped animals for solving such multi-dimensional, dynamic challenges of nutrition, but little is understood about the details and their theoretical and practical implications. We present an integrative framework, nutritional geometry, which models complex nutritional interactions in the context of multiple nutrients and across levels of biological organization (e.g., cellular, individual, and population) and levels of analysis (e.g., mechanistic, developmental, ecological, and evolutionary). The framework is generalizable across different situations and taxa. We illustrate this using examples spanning insects to primates and settings (laboratory, and the wild), and demonstrate its relevance for human health.
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title_short	An integrative approach to dietary balance across the life course
url	https://doi.org/10.1016/j.isci.2022.104315 https://doaj.org/article/f5fbf4cca80842698fc139a0e17d58a3 http://www.sciencedirect.com/science/article/pii/S2589004222005867 https://doaj.org/toc/2589-0042
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