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Defining the impact of dietary macronutrient balance on PCOS traits

Valentina Rodriguez Paris, Samantha M. Solon-Biet, Alistair M. Senior, Melissa C. Edwards, Reena Desai, Nicodemus Tedla, Madeleine J. Cox, William L. Ledger, Robert B. Gilchrist, Stephen J. Simpson, David J. Handelsman and Kirsty A. Walters ()
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Valentina Rodriguez Paris: University of New South Wales Sydney
Samantha M. Solon-Biet: University of Sydney
Alistair M. Senior: University of Sydney
Melissa C. Edwards: University of New South Wales Sydney
Reena Desai: University of Sydney
Nicodemus Tedla: University of New South Wales Sydney
Madeleine J. Cox: University of New South Wales Sydney
William L. Ledger: University of New South Wales Sydney
Robert B. Gilchrist: University of New South Wales Sydney
Stephen J. Simpson: University of Sydney
David J. Handelsman: University of Sydney
Kirsty A. Walters: University of New South Wales Sydney

Nature Communications, 2020, vol. 11, issue 1, 1-15

Abstract: Abstract Lifestyle, mainly dietary, interventions are first-line treatment for women with polycystic ovary syndrome (PCOS), but the optimal diet remains undefined. We combined a hyperandrogenized PCOS mouse model with a systematic macronutrient approach, to elucidate the impact of dietary macronutrients on the development of PCOS. We identify that an optimum dietary macronutrient balance of a low protein, medium carbohydrate and fat diet can ameliorate key PCOS reproductive traits. However, PCOS mice display a hindered ability for their metabolic system to respond to diet variations, and varying macronutrient balance did not have a beneficial effect on the development of metabolic PCOS traits. We reveal that PCOS traits in a hyperandrogenic PCOS mouse model are ameliorated selectively by diet, with reproductive traits displaying greater sensitivity than metabolic traits to dietary macronutrient balance. Hence, providing evidence to support the development of evidence-based dietary interventions as a promising strategy for the treatment of PCOS, especially reproductive traits.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19003-5

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DOI: 10.1038/s41467-020-19003-5

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