The muscle protein synthetic response following corn protein ingestion does not differ from milk protein in healthy, young adults.

Plant-derived proteins are generally believed to possess lesser anabolic properties when compared with animal-derived proteins. This is, at least partly, attributed to the lower leucine content of most plant-derived proteins. Corn protein has a leucine content that is highest among most plant-derived proteins and it even exceeds the levels observed in animal-derived proteins such as whey protein. Therefore, this study aimed to compare muscle protein synthesis rates following the ingestion of 30 g corn protein and a 30 g blend of corn plus milk protein with 30 g milk protein. In a randomized, double blind, parallel-group design, 36 healthy young males (26 ± 4 y) received primed continuous L-[ring-13C6]-phenylalanine infusions and ingested 30 g corn protein (CORN), 30 g milk protein (MILK), or a 30 g proteinblend with 15 g corn plus 15 g milk protein (CORN + MILK). Blood and muscle biopsies were collected for 5 h following protein ingestion to assess post-prandial plasma amino acid profiles and myofibrillar protein synthesis rates. The results show that Ingestion of protein increased myofibrillar protein synthesis rates from basal post-absorptive values in all treatments(P < 0.001). Post-prandial myofibrillar protein synthesis rates did not differ between CORN vs MILK (0.053 ± 0.013 vs 0.053 ± 0.013%∙h-1, respectively; t-test P = 0.90), or between CORN + MILK vs MILK (0.052 ± 0.024 vs 0.053 ± 0.013%∙h-1, respectively; t-test P = 0.92). Ingestion of 30 g corn protein, 30 g milk protein, or a blend of 15 g corn plus 15 g milk protein robustly increases muscle protein synthesis rates in young males. The muscle protein synthetic response to the ingestion of 30 g corn-derived protein does not differ from the ingestion of an equivalent amount of milk protein in healthy, young males. Clinical Trial Registry number. NTR6548 (registration date: 27-06-2017) https://www.trialregister.nl/ .

Post-prandial muscle protein synthesis rates following the ingestion of pea-derived protein do not differ from ingesting an equivalent amount of milk-derived protein in healthy, young males.

PURPOSE: Plant-derived proteins have received considerable attention as an alternative to animal-derived proteins. However, plant-derived proteins are considered to have less anabolic properties when compared with animal-derived proteins. The lower muscle protein synthesis rates following ingestion of plant- compared with animal-derived protein have been attributed to the lower essential amino acid content of plant-derived proteins and/or their specific amino acid deficiencies. This study aimed to compare post-prandial muscle protein synthesis rates following the ingestion of 30 g pea-derived protein with 30 g milk-derived protein in healthy, young males. METHODS: In a randomized, double-blind, parallel-group design, 24 young males (24 ± 3 y) received a primed continuous L-[ring-13C6]-phenylalanine infusion after which they ingested 30 g pea (PEA) or 30 g milk-derived protein (MILK). Blood and muscle biopsies were collected frequently for 5 h to assess post-prandial plasma amino acid profiles and subsequent post-prandial muscle protein synthesis rates. RESULTS: MILK increased plasma essential amino acid concentrations more than PEA over the 5 h post-prandial period (incremental area under curve 151 ± 31 vs 102 ± 15 mmol∙300 min∙L-1, respectively; P < 0.001). Ingestion of both MILK and PEA showed a robust muscle protein synthetic response with no significant differences between treatments (0.053 ± 0.013 and 0.053 ± 0.017%∙h-1, respectively; P = 0.96). CONCLUSION: Post-prandial muscle protein synthesis rates following the ingestion of 30 g pea-derived protein do not differ from the response following ingestion of an equivalent amount of milk-derived protein. International Clinical Trials Registry Platform (NTR6548; 27-06-2017).

The association between adherence to the EAT-Lancet diet and cognitive ageing.

BACKGROUND: The EAT-Lancet commission has proposed a dietary pattern that is both sustainable and healthy. However, the impact of this diet on cognition in older adults remains unexplored. Therefore, we examined the association between adherence to the EAT-Lancet diet and cognitive ageing. METHODS: We used data from a previous intervention study involving cognitively healthy community-dwelling adults aged ≥65 years. Adherence to the EAT-Lancet diet was calculated using a recently published index and a 190-item food frequency questionnaire. Global and domain-specific cognitive functioning were assessed at baseline and after 2 years using a neuropsychological test battery. Multivariate-adjusted linear regression was conducted to examine associations between EAT-Lancet diet adherence and cognitive functioning (n = 630) and 2-year change (n = 302). RESULTS: Greater adherence to the EAT-Lancet diet was associated with better global cognitive functioning (ß per SD = 3.7 points [95% CI]: 0.04 [0.00, 0.08]) and slower rate of decline (ß per SD [95% CI]: 0.05 [0.02, 0.08]). With respect to domain-specific functioning, beneficial associations were observed cross-sectionally for executive functioning (P < 0.01), and longitudinally for change in executive functioning (P < 0.01) and attention and working memory (P < 0.01). The degree of adherence to the EAT-Lancet was not associated with (changes in) information processing speed or episodic memory. CONCLUSION: We demonstrated that greater adherence to the EAT-Lancet diet is associated with better global cognitive functioning and slower cognitive decline among cognitively healthy older adults. Further research is needed to confirm these findings and assess the potential benefits of the EAT-Lancet diet for the ageing population in a broader context.

Malnutrition Prevalence and Nutrient Intakes of Indonesian Older Adults in Institutionalized Care Setting: A Systematic Review of Observational Studies.

INTRODUCTION: Data on the prevalence of malnutrition and nutrient intakes among Indonesian older adults in institutionalized care setting are scattered and scarce. Thus, we conducted a systematic review of published and gray literature to estimate (1) the prevalence of malnutrition, (2) the level and distribution of habitual energy and nutrient intakes, and (3) the prevalence of inadequacy of energy and nutrient intakes among hospitalized and institutionalized older adults in Indonesia. METHODS: This systematic review was written following the PRISMA 2020 checklist. The population of this review was Indonesian older adults in institutionalized care settings, including hospital wards, orphanages, nursing homes, residential facilities, and rehabilitation centers. Malnutrition was assessed using body mass index, the Mini Nutritional Assessment (MNA) score, or the subjective global assessment (SGA) score. The dietary intakes (from food recalls, food records, or food frequency questionnaire) were compared with the Indonesian Recommended Dietary Allowances for people aged 65-80. The prevalence of inadequacy was calculated using two-thirds of the Recommended Dietary Allowance as a proxy for the estimated average requirement. RESULTS: The search yielded 330 studies from electronic databases, resulting in fifteen eligible studies. One report was obtained from an unpublished study. Based on the JBI criteria, most studies had low risk of bias and represented the target population. The prevalence of malnutrition in hospital, nursing home, and other institutionalized care ranged from 6.5% to 48.3% in hospitals and 3.2% to 61.0% in other institutionalized care units. In the hospital setting, there was a high prevalence of inadequacies for all nutrients, particularly protein (20%), calcium (more than 90%), and vitamin D intakes (more than 50%). In nursing homes, these proportions were exceptionally high for protein (66%) and calcium and vitamin D intakes (almost 100%). CONCLUSION: The high risk of malnutrition in Indonesian older adults in institutionalized care setting is pronounced, along with poor intakes of macronutrients and micronutrients in both settings.

Concurrent nutrient deficiencies are associated with dementia incidence.

INTRODUCTION: While observational research suggests a protective role for nutrition in brain aging, intervention studies remain inconclusive. This failing translation from observational to interventional research may result from overlooking nutrient interactions. METHODS: We developed a nutrient status index capturing the number of suboptimal statuses of omega-3 fatty acids, homocysteine, and vitamin D (range 0 to 3). We associated this index with dementia incidence in a subsample (age ≥ 50 years) of the Framingham Heart Study Offspring cohort. RESULTS: Among 968 participants, 79 developed dementia over 15.5 years (median follow-up). Each point increase in nutrient status index was associated with a 50% higher risk of dementia (hazard ratio [HR] = 1.50; 95% confidence interval [CI] = 1.16, 1.96). Participants with three high-risk statuses had a four-fold increased risk of dementia compared to participants without high-risk status (HR = 4.68; 95% CI = 1.69, 12.94). DISCUSSION: Concurrent nutrient deficiencies are associated with the risk of dementia. The potential of optimizing nutritional status to lower dementia risk warrants further study. HIGHLIGHTS: Nutrition and dementia research calls for multiple-nutrient approaches. We studied combined suboptimal statuses of omega-3 polyunsaturated fatty acids, homocysteine, and vitamin D. Suboptimal status of the three nutrients was associated with dementia risk. The risk estimate was larger than for other factors (ie, diabetes, apolipoprotein E Îµ4 carrier). Future studies should assess the effect of improving nutrient status on dementia risk.

Discussion on protein recommendations for supporting muscle and bone health in older adults: a mini review.

Muscle and bone tissues are interconnected, and both rely on an adequate protein intake. Recommendations for protein intake for older adults specifically vary across countries. The purpose of this narrative review is to discuss the existing evidence for protein recommendations for supporting muscle and bone health in older adults and to evaluate if a protein intake above the current population reference intake (PRI) for older adults would be scientifically justified. First, this review summarizes the protein recommendations from bodies setting dietary reference values, expert groups, and national health organizations. Next, relevant studies investigating the impact of protein on muscle and bone health in older adults are discussed. In addition, the importance of protein quality for muscle and bone health is addressed. Lastly, a number of research gaps are identified to further explore the added value of a protein intake above the PRI for older adults.

A plant-based diet index to study the relation between diet and disease risk among adults: a narrative review.

Plant-based diets (PBD) may offer various health benefits and contribute to a sustainable way of life, but, if not planned correctly, may also confer risks, e.g., by focusing on plant foods with low nutrient density, such as foods primarily consisting of refined carbohydrates. A plant-based diet index (PDI) differentiating between a healthful, unhealthful, and overall PBD, offers a promising approach to standardize and compare studies and integrate results. In this review we (1) summarize current evidence on the PDI and disease risk of relevance to public health, (2) discuss the methodology of the PDI and how it can be sensibly applied in further studies and (3) indicate areas with a lack of knowledge, such as vulnerable populations. In summary, our amalgamation shows, that adherence to a healthier plant-based diet is associated with an 8-68% lower risk for metabolic risk factors, diabetes, and cardiovascular disease, while adherence to an unhealthier plant-based diet is associated with a 10-63% higher risk. Although differences in calculation methods and underlying diet patterns between populations should be accounted for, the PDI can be a useful tool to assess adherence to different plant-based diet patterns and their association with health outcomes in cohort studies across cultures.