Abstract:Nutrition has profound effects on ageing and lifespan. Caloric restriction is the major nutritional intervention that historically has been shown to influence lifespan and/or healthspan in many animal models. Studies have suggested that a reduction in protein intake can also increase lifespan, albeit not as dramatically as caloric restriction. More recent research based on nutritional geometry has attempted to define the effects of nutrition on ageing over a broad landscape of dietary macronutrients and energy… Show more
“…The typical range for percent protein in the human diet is from 10% to 25%, with 15% to 20% being most common . It is therefore unsurprising that PL has been detected on diets with 10% but not 5% of energy from protein.…”
Section: Ten Points Of Clarificationmentioning
confidence: 99%
“…This might be the reason that some traditional low‐protein diets, such as the Mediterranean and Okinawan diets, are not associated at a population level with energy overconsumption and obesity . Along with these diets’ low protein to carbohydrate ratio, this might also explain why these diets are associated with slowed rates of aging and long life‐spans . In restricting compensatory intake for protein, the high‐fiber content of these diets is likely to limit not only nonprotein energy and total energy intake (via restricting PL) but also protein intakes, and, as discussed in the next section, dietary protein restriction is emerging as an important causal factor in studies of the effects of diet on late‐life health and lifespan .…”
Much attention has been focused on fats and carbohydrates as the nutritional causes of energy overconsumption and obesity. In 2003, a model of intake regulation was proposed in which the third macronutrient, protein, is not only involved but is a primary driver of calorie intake via its interactions with carbohydrates and fats. This model, called protein leverage, posits that the strong regulation of protein intake causes the overconsumption of fats and carbohydrates (hence total energy) on diets with a low proportion of energy from protein and their underconsumption on diets with a high proportion of protein. Protein leverage has since been demonstrated in a range of animal studies and in several studies of human macronutrient regulation, and its potential role in contributing to the obesity epidemic is increasingly attracting discussion. Over recent years, however, several misconceptions about protein leverage have arisen. Our aim in this paper is to briefly outline some key aspects of the underlying theory and clarify 10 points of misunderstanding that have the potential to divert attention from the substantive issues.
“…The typical range for percent protein in the human diet is from 10% to 25%, with 15% to 20% being most common . It is therefore unsurprising that PL has been detected on diets with 10% but not 5% of energy from protein.…”
Section: Ten Points Of Clarificationmentioning
confidence: 99%
“…This might be the reason that some traditional low‐protein diets, such as the Mediterranean and Okinawan diets, are not associated at a population level with energy overconsumption and obesity . Along with these diets’ low protein to carbohydrate ratio, this might also explain why these diets are associated with slowed rates of aging and long life‐spans . In restricting compensatory intake for protein, the high‐fiber content of these diets is likely to limit not only nonprotein energy and total energy intake (via restricting PL) but also protein intakes, and, as discussed in the next section, dietary protein restriction is emerging as an important causal factor in studies of the effects of diet on late‐life health and lifespan .…”
Much attention has been focused on fats and carbohydrates as the nutritional causes of energy overconsumption and obesity. In 2003, a model of intake regulation was proposed in which the third macronutrient, protein, is not only involved but is a primary driver of calorie intake via its interactions with carbohydrates and fats. This model, called protein leverage, posits that the strong regulation of protein intake causes the overconsumption of fats and carbohydrates (hence total energy) on diets with a low proportion of energy from protein and their underconsumption on diets with a high proportion of protein. Protein leverage has since been demonstrated in a range of animal studies and in several studies of human macronutrient regulation, and its potential role in contributing to the obesity epidemic is increasingly attracting discussion. Over recent years, however, several misconceptions about protein leverage have arisen. Our aim in this paper is to briefly outline some key aspects of the underlying theory and clarify 10 points of misunderstanding that have the potential to divert attention from the substantive issues.
“…We have already covered in the previous sections some of the differential physiological responses that distinguish CR from protein restriction (PR) and other aspects of diet composition. The impact of various feeding regimens were recently extensively reviewed (Le Couteur et al, 2016a; Le Couteur et al, 2016b; Masoro, 2005, 2006; Solon-Biet et al, 2015; Speakman and Mitchell, 2011; Speakman et al, 2016). The role of optimal dietary composition for promoting lifespan extension in ad libitum or CR condition remains unknown.…”
Section: What Role Does Dietary Composition Play?mentioning
confidence: 99%
“…However, most of the early reports in this field have suggested that manipulations of the macro and micro-nutrient composition do not have a major impact on survival (Iwasaki et al, 1988; Yu et al, 1985; Yu et al, 1982). To counter this earlier argument, a few recent studies have provided highly systematic manipulation of protein content in mouse studies (Le Couteur et al, 2016a; Le Couteur et al, 2016b; Simpson et al, 2015). For example, a 40% PR diet, while maintaining a very similar calorie intake, recapitulated the CR effects on mitochondrial ROS production and oxidative damage in rats (Ayala et al, 2007; Sanz et al, 2004).…”
Section: What Role Does Dietary Composition Play?mentioning
The calorie restriction paradigm has provided one of the most widely used and most useful tools for investigating mechanisms of aging and longevity. By far, rodent models have been employed most often in these endeavors. Over decades of investigation, claims have been made that the paradigm produces the most robust demonstration that aging is malleable. In the current review of the rodent literature, we present arguments that question the robustness of the paradigm to increase lifespan and healthspan. Specifically, there are several questions to consider as follows: (1) At what age does CR no longer produce benefits? (2) Does CR attenuate cognitive decline? (3) Are there negative effects of CR, including effects on bone health, wound healing, and response to infection? (4) How important is schedule of feeding? (5) How long does CR need to be imposed to be effective? (6) How do genotype and gender influence CR? (7) What role does dietary composition play? Consideration of these questions produce many caveats that should guide future investigations to move the field forward.
“…Ethnicity has also been identified as a predictor of successful ageing (4,5) . For example, people who consume diets associated with particular cultures, such as the Mediterranean and Okinawan diets, appear to have improved health outcomes and longevity (6,7) . On the negative side, older individuals tend to have suboptimal diets (8)(9)(10)(11) .…”
The revised Dietary Guideline Index (DGI-2013) scores individuals' diets according to their compliance with the Australian Dietary Guideline (ADG). This cross-sectional study assesses the diet quality of 794 community-dwelling men aged 74 years and older, living in Sydney, Australia participating in the Concord Health and Ageing in Men Project; it also examines sociodemographic and lifestyle factors associated with DGI-2013 scores; it studies associations between DGI-2103 scores and the following measures: homoeostasis model assessment - insulin resistance, LDL-cholesterol, HDL-cholesterol, TAG, blood pressure, waist:hip ratio, BMI, number of co-morbidities and medications and frailty status while also accounting for the effect of ethnicity in these relationships. Median DGI-2013 score was 93·7 (54·4, 121·2); most individuals failed to meet recommendations for vegetables, dairy products and alternatives, added sugar, unsaturated fat and SFA, fluid and discretionary foods. Lower education, income, physical activity levels and smoking were associated with low scores. After adjustments for confounders, high DGI-2013 scores were associated with lower HDL-cholesterol, lower waist:hip ratios and lower probability of being frail. Proxies of good health (fewer co-morbidities and medications) were not associated with better compliance to the ADG. However, in participants with a Mediterranean background, low DGI-2013 scores were not generally associated with poorer health. Older men demonstrated poor diet quality as assessed by the DGI-2013, and the association between dietary guidelines and health measures and indices may be influenced by ethnic background.
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