Possible metabolic interplay between quality of life and fecal microbiota in a presenior population: Preliminary results

Objectives: The number of people aged 60 y is increasing worldwide, so establishing a relationship between lifestyle and health-associated factors, such as gut microbiota in an older population, is important. This study aimed to characterize the gut microbiota of a presenior population, and analyze the association between some bacteria and quality of life with the Short Form (SF) 36 questionnaire. Methods: Participants were adult men and women ages 50 to 80 y (n = 74). In addition to the SF-36 question- naire, fecal samples were collected in cryotubes, and 16S RNA gene sequencing was performed to character- ize microbial features. Participants were classified into two groups according to SF-36 punctuation. Linear and logistic regression models were performed to assess the possible association between any bacterial bowl and SF-36 score. Receiver operating characteristics curves were fitted to define the relative diagnostic strength of different bacterial taxa for the correct determination of quality of life. Results: A positive relationship was established between SF-36 score and Actinobacteria (P = 0.0310; R = 0.2510) compared with Peptostreptococcaceae (P = 0.0259; R = 0.2589), which increased with decreasing quality of life. Logistic regressions models and receiver operating characteristics curves showed that the rela- tive abundance of Actinobacteria and Peptostreptococcaceae may be useful to predict quality of life in a prese- nior population (area under the curve: 0.71). Conclusions: Quality of life may be associated with the relative abundance of certain bacteria, especially Acti- nobacteria and Peptostreptococcaceae, which may have a specific effect on certain markers and health care, which is important to improve quality of life in older populations

Precision integrative screening of determinants and diverse risk factors involved in obesity throughout the life cycle

-

Precision integrative screening of determinants and diverse risk factors involved in obesity throughout the life cycle

-

Sleep duration is associated with liver steatosis in children depending on body adiposity

Sleep is a factor associated with overweight/obesity risk, wherein interactions with fatty liver should be ascertained. The aim of this cross-sectional study was to analyze the possible relationships of sleep with liver health and whether this interplay is related to body adiposity distribution in children and adolescents. Anthropometric, clinical, and biochemical measurements were performed in children and adolescents (2-18 years old) with overweight/obesity (n = 854). Body fat distribution was clinically assessed, and several hepatic markers, including hepatic steatosis index, were calculated. Sleep time mediation (hours/day) in the relationship between the hepatic steatosis index and body fat distribution was investigated. Differences among diverse fatty liver disease scores were found between children with overweight or obesity (p < 0.05). Linear regression models showed associations between hepatic steatosis index and lifestyle markers (p < 0.001). Hepatic steatosis index was higher (about + 15%) in children with obesity compared to overweight (p < 0.001). Pear-shaped body fat distribution may seemingly play a more detrimental role on liver fat deposition. The association between sleep time and hepatic steatosis index was dependent on body mass index z-score. Post hoc analyses showed that 39% of the relationship of body fat distribution on hepatic steatosis index may be explained by sleep time. Conclusion: An association of sleep time in the relationship between body fat distribution and hepatic steatosis index was observed in children and adolescents with overweight/obesity, which can be relevant in the prevention and treatment of excessive adiposity between 2 and 18 years old. Clinical trial: NCT04805762. Import: As part of a healthy lifestyle, sleep duration might be a modifiable factor in the management of fatty liver disease in children. What is known: • Sleep is an influential factor of overweight and obesity in children. • Excessive adiposity is associated with liver status in children and adolescents. What is new: • Sleep time plays a role in the relationship between body fat distribution and liver disease. • Monitoring sleep pattern may be beneficial in the treatment of hepatic steatosis in children with excessive body weight

Possible metabolic interplay between quality of life and fecal microbiota in a presenior population: Preliminary results

Objectives: The number of people aged 60 y is increasing worldwide, so establishing a relationship between lifestyle and health-associated factors, such as gut microbiota in an older population, is important. This study aimed to characterize the gut microbiota of a presenior population, and analyze the association between some bacteria and quality of life with the Short Form (SF) 36 questionnaire. Methods: Participants were adult men and women ages 50 to 80 y (n = 74). In addition to the SF-36 question- naire, fecal samples were collected in cryotubes, and 16S RNA gene sequencing was performed to character- ize microbial features. Participants were classified into two groups according to SF-36 punctuation. Linear and logistic regression models were performed to assess the possible association between any bacterial bowl and SF-36 score. Receiver operating characteristics curves were fitted to define the relative diagnostic strength of different bacterial taxa for the correct determination of quality of life. Results: A positive relationship was established between SF-36 score and Actinobacteria (P = 0.0310; R = 0.2510) compared with Peptostreptococcaceae (P = 0.0259; R = 0.2589), which increased with decreasing quality of life. Logistic regressions models and receiver operating characteristics curves showed that the rela- tive abundance of Actinobacteria and Peptostreptococcaceae may be useful to predict quality of life in a prese- nior population (area under the curve: 0.71). Conclusions: Quality of life may be associated with the relative abundance of certain bacteria, especially Acti- nobacteria and Peptostreptococcaceae, which may have a specific effect on certain markers and health care, which is important to improve quality of life in older populations