Extensive research has demonstrated that reducing food intake, also known as caloric restriction (CR), can increase lifespan and delay the onset of age-related diseases. Analysis of food intake patterns and their effects is a critical component is crutial in aging research, especially when using animal models to study the mechanisms of aging. The type, quantity, and timing of food intake can significantly influence the aging process and overall healthspan.
Fig. 1 Macronutrients and lifespan in (a) mice and (b) fruit flies. (Le Couteur DG, et al., 2024)
At CD BioSciences, our team of seasoned scientists has developed a comprehensive suite of food intake analysis services specifically tailored for evaluating aging in animal models. By uncovering key dietary factors that influence aging, our service facilitates the development of targeted therapeutics aimed at promoting healthy aging and longevity.
How Do We Analyze Age-Related Changes in Food Intake?
Food consumption measurement services
The core of our services involves monitoring age-related changes in food intake by weighing food before and after feeding. We employ automated systems for more accurate and continuous monitoring. We provide services to help clients further analyze food intake patterns, including total caloric intake and macronutrient distribution.
Caloric intake analysis services
Caloric intake is recognized as a fundamental determinant of longevity in animal models. At CD BioSciences, we employ advanced analytical techniques to quantify the caloric intake of our clients' research subjects, taking into account factors such as macronutrient composition, meal timing, and energy expenditure. Our in-depth analysis services enable clients to identify optimal caloric intake levels for healthy aging.
Nutrient analysis services
We offer nutrient analysis services that delve deep into the intricacies of research subjects' food intake, examining their consumption of macronutrients (proteins, carbohydrates, and fats) and key micronutrients (vitamins, minerals, antioxidants). We help clients evaluate the balance and quality of macronutrients, given that optimal macronutrient ratios have been linked to longevity. We also assist clients in identifying potential deficiencies or imbalances that can contribute to accelerated aging and age-related diseases.
Dietary pattern analysis services
We assist clients in recording and analyzing the dietary habits of their research subjects, examining factors such as food choices, meal frequencies, and macronutrient ratios. Our services guide clients in identifying whether the anti-aging therapeutics promote longevity in animal models.
Our Correlational Analysis of Aging and Food Intake
At CD BioSciences, our correlational analysis services are designed to support preclinical anti-aging drug development, providing our clients with deep, data-driven insights into how dietary factors influence the aging process. By evaluating the correlation coefficients among variables such as caloric intake, macronutrient ratios, antioxidant levels, and biomarkers of aging, we help clients identify dietary factors that may influence longevity.
The aging process and its interactions with dietary factors are often characterized by nonlinear dynamics, where the effects of certain dietary variables may exhibit thresholds or inflection points. Our correlational analysis services leverage advanced statistical techniques to identify these complex, nonlinear relationships, providing a more accurate representation of the intricate interplay between food intake and biological aging.
CD BioSciences is dedicated to advancing aging research through our comprehensive food intake analysis services. Leveraging our deep expertise and analysis techniques, we enable our clients to uncover the dietary secrets of longevity. If you are interested in our services, please feel free to contact us or make an online inquiry.
Reference
- Le Couteur DG, et al. Does diet influence aging? Evidence from animal studies. J Intern Med, 2024, 295 (4): 400-415.
All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.
