Multidimensional associations between nutrient intake and healthy ageing in humans
Alistair M Senior1,2,3, Véronique Legault4, Francis B Lavoie4
1University of Sydney, Charles Perkins Centre, Camperdown, New South Wales, 2006, Australia. alistair.senior@sydney.edu.au.
BMC Biology
|September 1, 2022
Summary
Dietary patterns significantly impact human aging. This study used a multidimensional approach to reveal complex nutrient interactions associated with slower biological aging in older adults.
Area of Science:
- Gerontology
- Nutritional Science
- Biomarker Analysis
Background:
- Human aging is a complex, multidimensional process.
- Previous nutrition research often used a unidimensional approach, focusing on single nutrients.
- Understanding diet's role in aging requires considering complex nutrient interactions.
Purpose of the Study:
- To assess how nutrient intake associates with the aging process in older adults.
- To apply a multidimensional geometric framework for nutrition to biological aging data.
- To investigate large-scale associations between dietary patterns and aging.
Main Methods:
- Quantified aging and loss of homeostasis using blood biomarkers.
- Modeled dietary effects using the geometric framework for nutrition (macronutrients and 19 micronutrients).
- Analyzed data from 1560 older adults over four years.
Main Results:
- Optimal nutrient intake levels varied depending on the aging metric.
- Non-linear relationships were observed, with intermediate nutrient levels often performing best.
- Nutrient intake patterns showed broad tolerance within certain ranges, and optimal levels of one nutrient often depended on others.
Conclusions:
- Multidimensional modeling identified specific nutrient patterns linked to minimal biological aging.
- Complex nutrient interactions, not single nutrient effects, are crucial for understanding aging.
- This study provides a framework for future research into nutrition and aging.
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