Dietary cholesterol intake increased dramatically over the past two decades in the elderly Chinese population. However, the nationwide dietary cholesterol intake and its related factors seldom been investigated. Based on data from 16,594 participants aged 60 years or older (49.0% male, 54.8% urban residents) from the China National Nutrition and Health Survey (CNHS) 2010–2012, we aimed to describe the intake of cholesterol and major food contributions, as well as its association with serum cholesterol level and relationship with protein intake. Mean daily cholesterol intake for all participants was 217.4 mg, the mean cholesterol intakes in urban and rural areas were 264.0 mg and 168.8 mg, respectively. Cholesterol intake levels varied by age, gender, BMI and region (p < 0.001). In addition, the proportion of all participants who consumed greater than 300 mg of cholesterol per day was 26.6%. Eggs, red meats, and seafood were the top three food sources and their contributions to total daily cholesterol intake were 57.7%, 24.0% and 10.9% respectively. Serum total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) were related to dietary cholesterol intake, with each 100 mg increase in dietary cholesterol intake apparently leading to a 0.035 mmol/L (p = 0.001) increase in serum TC and a 0.038 mmol/L (p < 0.001) increase in LDL-C. The partial correlation coefficients between dietary cholesterol and total protein, high-quality protein, intake of protein per kilogram body weight (BW), and high-quality protein percentage were 0.538, 0.580, 0.426, and 0.548, respectively, after adjusting for age, gender, and energy, fat and carbohydrate intakes (p < 0.001). In conclusion, there was a substantial urban-rural difference in cholesterol intake. Eggs and red meat were the main sources of dietary cholesterol intake. Serum TC and LDL-C were associated with dietary cholesterol and the response was linear. Dietary cholesterol intake was closely related to the intake of high-quality protein.

The dysfunction of phospholipid metabolism enzymes and the change in membrane phospholipid composition are associated with insulin resistance, indicating that phospholipids play an important role in the regulation of insulin sensitivity. The reflection of phospholipid changes in blood might provide clues for both mechanism understanding and intervention. Using a targeted phospholipidomic approach, 199 phospholipid molecular species were identified and quantified in the plasma of 1053 middle-aged participants from a national investigation. The associations of the phospholipid matrix, clusters, and molecular species with insulin resistance were investigated. A significant association was confirmed between the phospholipid matrix and the homeostatic-model assessment of insulin resistance (HOMA-IR) by a distance-based linear model. Furthermore, three clustered phospholipid modules and 32 phospholipid molecular species were associated with HOMA-IR with the strict control of demographic and lifestyle parameters, family history of diabetes, BMI, WC, and blood lipid parameters. The overall decline in lysophosphatidylcholines (LPCs), the decrease in saturated lysophosphatidylethanolamines (LPEs), the decrease in polyunsaturated/plasmenyl phosphatidylcholines (PCs), and the increase in polyunsaturated phatidylethanolamines (PEs) were the prominent characters of plasma phospholipid perturbation associated with insulin resistance. This suggested that PC- and PE-related metabolic pathways were widely involved in the process of insulin resistance, especially the disorder of LPC acylation to diacyl-PC.

Background: Sarcopenia associated with aging severely affects the quality of life of the elderly; diets have been shown to elicit an inflammatory response in the body, and diets that promote inflammation may lead to damage to muscles. The Dietary Inflammatory Index (DII) has been developed to quantify the inflammatory potential of individual diets. Therefore, this study aimed to investigate the association between the DII, sarcopenia and its components in elderly Chinese people. Methods: In this study, data were obtained from the China Nutrition Improvement Strategies and Applications for the Elderly Research Programme. An assessment of sarcopenia was carried out according to the Asian Working Group on Sarcopenia’s (AWGS2019) criteria. The DII was calculated using food intake data obtained using the FFQ method, and then the quartile method was used to categorize the subjects into four groups. Multifactor logistic regression was conducted to examine the associations between DII, sarcopenia and its components. Results: This study included 993 subjects over the age of 65, and the prevalence of sarcopenia was 20.2%. The mean DII score of the study population was 0.99 ± 0.1. After adjusting for the confounders age, gender, marital status, and educational level, the risk of sarcopenia was 1.66 times higher in group Q4 than in group Q1 (p-trend < 0.05). However, this relationship is not statistically significant when other more confounding factors are added. Nevertheless, when further analyzing the relationship between DII and sarcopenia components, it was found that after adjusting the model, a higher DII was associated with a risk of muscle strength loss (OR = 1.65, p-trend < 0.05). Conclusions: Higher DII scores increase the risk of muscle strength loss in older adults. By guiding older adults to adopt a more anti-inflammatory diet, muscle health can be improved in terms of increased muscle strength. Further cohort or interventional studies are necessary to validate our findings.

Decreased concentration of phospholipids were observed in brain tissue from individuals with dementia compared with controls, indicating phospholipids might be a key variable in development of age-related cognitive impairment. The reflection of these phospholipid changes in blood might provide both reference for diagnosis/monitoring and potential targets for intervention through peripheral circulation. Using a full-scale targeted phospholipidomic approach, 229 molecular species of plasma phospholipid were identified and quantified among 626 senile residents; the association of plasma phospholipids with MoCA score was also comprehensively discussed. Significant association was confirmed between phospholipid matrix and MoCA score by a distance-based linear model. Additionally, the network analysis further observed that two modules containing PEs were positively associated with MoCA score, and one module containing LPLs had a trend of negative correlation with MoCA score. Furthermore, 23 phospholipid molecular species were found to be significantly associated with MoCA score independent of fasting glucose, lipidemia, lipoproteins, inflammatory variables and homocysteine. Thus, the decreased levels of pPEs containing LC-PUFA and the augmented levels of LPLs were the most prominent plasma phospholipid changes correlated with the cognitive decline, while alterations in plasma PC, PS and SM levels accompanying cognitive decline might be due to variation of lipidemia and inflammatory levels.