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How Does What We Eat Affect Our Healthspan and Longevity? It’s a Complex Dynamic System

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Summary: Study sheds new light on how normal variations in dietary patterns affect human aging, longevity, and overall health.

Source: Columbia University

The answer to a relatively concise question – how does what we eat affect how we age — is unavoidably complex, according to a new study at the Butler Columbia Aging Center at Columbia University Mailman School of Public Health.

While most analyzes had been concerned with the effects of a single nutrient on a single outcome, a conventional, unidimensional approach to understanding the effects of diet on health and aging no longer provides us with the full picture: healthy diet needs to be considered based on the balance of sets of nutrients, rather than by optimizing a series of nutrients one at a time.

Until now little was known about how normal variation in dietary patterns in humans affects the aging process.

The findings are published online in the journal BMC Biology.

“Our ability to understand the problem has been complicated by the fact that both nutrition and the physiology of aging are highly complex and multidimensional, involving a high number of functional interactions,” said Alan Cohen, PhD, associate professor of environmental health sciences at Columbia Mailman School.

“This study therefore provides further support to the importance of looking beyond ‘a single nutrient at a time’ as the one size fits all response to the age-old question of how to live a long and healthy life.”

Cohen also points that the results are also concordant with numerous studies highlighting the need for increased protein intake in older people, in particular, to offset sarcopenia and decreased physical performance associated with aging.

Using multidimensional modeling techniques to test the effects of nutrient intake on physiological dysregulation in older adults, the researchers identified key patterns of specific nutrients associated with minimal biological aging.

“Our approach presents a roadmap for future studies to explore the full complexity of the nutrition-aging landscape,” observed Cohen, who is also affiliated with the Butler Columbia Aging Center.

The researchers analyzed data from 1560 older men and women, aged 67-84 years selected randomly between November 2003 and June 2005 from the Montreal, Laval, or Sherbrooke areas in Quebec, Canada, who were re-examined annually for 3 years and followed over four years to assess on a large-scale how nutrient intake associates with the aging process.

Aging and age-related loss of homeostasis (physiological dysregulation) were quantified via the integration of blood biomarkers. The effects of diet used the geometric framework for nutrition, applied to macronutrients and 19 micronutrients/nutrient subclasses.

Researchers fitted a series of eight models exploring different nutritional predictors and adjusted for income, education level, age, physical activity, number of comorbidities, sex, and current smoking status.

Four broad patterns were observed:

  • The optimal level of nutrient intake was dependent on the aging metric used. Elevated protein intake improved/depressed some aging parameters, whereas elevated carbohydrate levels improved/depressed others;
  • There were cases where intermediate levels of nutrients performed well for many outcomes (ie arguing against a simple more/less is better perspective);
  • There is broad tolerance for nutrient intake patterns that don’t deviate too much from norms (‘homeostatic plateaus’).
  • Optimal levels of one nutrient often depend on levels of another (eg vitamin E and vitamin C). Simpler analytical approaches are insufficient to capture such associations.

The research team also developed an interactive tool to allow users to explore how different combinations of micronutrients affect different aspects of aging.

This shows fruits and vegetables
Using multidimensional modeling techniques to test the effects of nutrient intake on physiological dysregulation in older adults, the researchers identified key patterns of specific nutrients associated with minimal biological aging. Image is in the public domain

The results of this study are consistent with earlier experimental work in mice showing that high-protein diets may accelerate aging earlier in life, but are beneficial at older ages.

“These results are not experimental and will need to be validated in other contexts. Specific findings, such as the salience of the combination of vitamin E and vitamin C, may well not replicate in other studies.

“But the qualitative finding that there are no simple answers to optimal nutrition is likely to hold up: it was evident in nearly all our analyses, from a wide variety of approaches, and is consistent with evolutionary principles and much previous work,” said Cohen .

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Co-authors are Alistair M. Senior, David Raubenheimer, and Stephen J. Simpson, University of Sydney; Véronique Legault and Francis B. Lavoie, University of Sherbrooke, Quebec, Canada; Nancy Presse and Valérie Turcot, CIUSSS-de-l’Estrie-CHUS, Sherbrooke, Canada; the University Institute of Geriatrics of Montreal, Montreal, Canada, University of Sherbrooke, Sherbrooke, Canada; Pierrette Gaudreau, University of Montreal, Montreal, Canada; David G. Le Couteur, University of Sydney and Aging and Alzheimers Institute and ANZAC Research Institute, Concord Hospital, New South Wales, Australia.

Funding: The study was supported by the Australian Research Council (ARC DECRA: DE180101520), the Canadian Institutes of Health Research (CIHR) grants 153011 and 62842; as well as grants from Fonds de recherche du Québec(FRQ) grant #2020-VICO-279753, Quebec Network for Research on Aging.

About this diet and aging research news

Author: Stephanie Berger
Source: Columbia University
Contact: Stephanie Berger – Columbia University
Image: The image is in the public domain

OriginalResearch: Open access.
Multidimensional associations between nutrient intake and healthy aging in humans” by Alan Cohen et al. BMC Biology


Abstract

Multidimensional associations between nutrient intake and healthy aging in humans

Background

Little is known about how normal variation in dietary patterns in humans affects the aging process. To date, most analyzes of the problem have used a unidimensional paradigm, being concerned with the effects of a single nutrient on a single outcome. Perhaps then, our ability to understand the problem has been complicated by the fact that both nutrition and the physiology of aging are highly complex and multidimensional, involving a high number of functional interactions. Here we apply the multidimensional geometric framework for nutrition to data on biological aging from 1560 older adults followed over four years to assess on a large-scale how nutrient intake associates with the aging process.

Results

Aging and age-related loss of homeostasis (physiological dysregulation) were quantified via the integration of blood biomarkers. The effects of diet were modeled using the geometric framework for nutrition, applied to macronutrients and 19 micronutrients/nutrient subclasses. We observed four broad patterns: (1) The optimal level of nutrient intake was dependent on the aging metric used. Elevated protein intake improved/depressed some aging parameters, whereas elevated carbohydrate levels improved/depressed others; (2) There were non-linearities where intermediate levels of nutrients performed well for many outcomes (ie arguing against a simple more/less is better perspective); (3) There is broad tolerance for nutrient intake patterns that don’t deviate too much from norms (‘homeostatic plateaus’). (4) Optimal levels of one nutrient often depend on levels of another (eg vitamin E and vitamin C). Simpler linear/univariate analytical approaches are insufficient to capture such associations. We present an interactive tool to explore the results in the high-dimensional nutritional space.

Conclusion

Using multidimensional modeling techniques to test the effects of nutrient intake on physiological dysregulation in an aged population, we identified key patterns of specific nutrients associated with minimal biological aging. Our approach presents a roadmap for future studies to explore the full complexity of the nutrition-aging landscape.

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