Overview: This study sheds new light on how normal fluctuations in dietary patterns affect human aging, lifespan, and overall health.
sauce: Columbia University
The answer to a relatively simple question — how does what we eat affect aging — is, according to a new study conducted at the Butler Columbia Center for Aging at Columbia University’s Mailman School of Public Health. It is inevitably complicated.
Most analyzes have concerned the effect of a single nutrient on a single outcome, but traditional single-dimensional approaches to understanding the effects of diet on health and aging have failed to provide a complete picture. lost. Instead of optimizing a series of nutrients one by one, he balances a collection of nutrients.
Until now, little was known about how normal fluctuations in human dietary patterns affect the aging process.
Findings will be published online in the journal BMC biology.
“Our ability to understand this question is complicated by the fact that both nutritional and aging physiology are highly complex and multidimensional, involving numerous functional interactions.” said Dr. Alan Cohen, Associate Professor of Environmental Health Sciences at Columbia University. mailman school.
“Therefore, this study further underscores the importance of looking beyond ‘one nutrient at a time.’ All the answers to the age-old question of how to live a long, healthy life because one size fits all.”
Cohen notes that the results are also consistent with a number of studies highlighting the need to increase protein intake in older adults, especially to offset sarcopenia and age-related decline in physical performance. doing.
Using multidimensional modeling techniques to test the effects of nutrient intake on physiological dysregulation in older adults, researchers identified significant patterns of specific nutrients associated with minimal biological aging.
“Our approach presents a roadmap for future research to investigate the full complexity of the landscape of vegetative aging,” said Cohen, who is also affiliated with the Butler Columbia Center for Aging.
The researchers randomly selected 1560 elderly men and women aged 67 to 84 from the Montreal, Laval, or Sherbrooke areas of Quebec, Canada between November 2003 and June 2005. data were analyzed, retested and followed up annually for 3 years. 4 years to massively assess how nutrient intake is associated with the aging process.
Aging and age-related loss of homeostasis (physiological dysregulation) were quantified by integration of blood biomarkers. Dietary effects used a nutritional geometric framework that applied to macronutrients and 19 micronutrient/nutrient subclasses.
Researchers examined a range of nutritional predictors and fitted a series of eight models that adjusted for income, education level, age, physical activity, number of comorbidities, gender, and current smoking status.
Four broad patterns were observed.
- Optimal levels of nutrient intake depended on the aging index used. Improved/reduced.
- Intermediate levels of nutrients have sometimes worked well for many outcomes (i.e. the argument against simple high/low is the better point of view).
- There is a wide range of acceptable nutrient intake patterns that do not deviate too much from the norm (“homeostatic plateaus”).
- The optimal level of one nutrient is often dependent on the level of another nutrient (such as vitamin E and vitamin C). Capturing such associations falls short of simpler analytical approaches.
The research team also developed an interactive tool Allows users to explore how different combinations of micronutrients affect different aspects of aging.
The results of this study are consistent with previous experimental studies in mice, showing that a high-protein diet may accelerate aging early in life, but is beneficial later in life.
“These results are not experimental and should be validated in other contexts. Certain findings, such as the salient features of the combination of vitamin E and vitamin C, may not be replicated in other studies.” I have.
“However, the qualitative finding that there is no simple answer to optimal nutrition is likely to hold up. It’s consistent with the studies of,” Cohen said. .
See also
Co-authors are Alistair M. Senior, David Raubenheimer and Stephen J. Simpson from the 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. l’Institut Universitaire de Gériatrie de Montréal, Montréal, Canada, Université de Sherbrooke, Sherbrooke, Canada; Pierrette Gaudreau, University of Montreal, Montreal, Canada. David G. Le Couteur, University of Sydney, Institute of Aging and Alzheimer’s Disease and his ANZAC Institute, Concord Hospital, New South Wales, Australia.
Funding: This work was supported by the Australian Research Council (ARC DECRA: DE180101520), Canadian Institutes of Health Research (CIHR) grants 153011 and 62842. Fonds de recherche du Québec(FRQ) grant #2020-VICO-279753, from the Quebec Network for Research on Aging.
About this diet and aging research news
author: Stephanie Berger
sauce: Columbia University
contact: Stephanie Berger – Columbia University
image: image is public domain
Original research: open access.
“Multidimensional associations between human nutrient intake and healthy aging” by Alan Cohen et al. BMC biology
Overview
Multidimensional associations between human nutrient intake and healthy aging
Background
Little is known about how normal fluctuations in human dietary patterns affect the aging process. To date, most analyzes of the problem have used a one-dimensional paradigm, concerned with the effect of a single nutrient on a single outcome. Our ability to understand the problem is complicated by the fact that it is dimensional and involves numerous functional interactions. To assess at large scale, we apply the nutritional multidimensional geometric framework to data on biological aging from 1560 older adults followed for more than 4 years.
result
Aging and age-related loss of homeostasis (physiological dysregulation) were quantified by integration of blood biomarkers. Dietary effects were modeled using the geometric framework of nutrition and applied to macronutrients and 19 micronutrient/nutrient subclasses. Four broad patterns were observed. (1) The optimal level of nutrient intake was dependent on the aging index used. Increased protein intake improved/reduced some aging parameters, whereas increased carbohydrate levels improved/reduced others.(2) Intermediate levels of nutrients favored many outcomes. (i.e. the argument against simple more/less is a better point of view). (3) There is wide tolerance for nutritional patterns that do not deviate too much from the norm (“homeostatic plateau”). (4) Optimal levels of one nutrient are often dependent on levels of another (eg, vitamin E and vitamin C). Simpler linear/univariate analysis approaches are inadequate to capture such associations. We present an interactive tool for exploring outcomes in a high-dimensional nutritional space.
Conclusion
Using multidimensional modeling techniques, we tested the effects of nutrient intake on physiological dysregulation in an older population and identified key patterns of specific nutrients associated with minimal biological aging. Our approach presents a roadmap for future research to explore the full complexity of the landscape of vegetative aging.
