Abstract16S rRNA sequencing of human fecal samples has been tremendously successful in identifying microbiome changes associated with both aging and disease. A number of studies have described microbial alterations corresponding to physical frailty and nursing home residence among aging individuals. A gut-muscle axis through which the microbiome influences skeletal muscle growth/function has been hypothesized. However, the microbiome has yet to be examined in sarcopenia. Here, we collected fecal samples of 60 healthy controls (CON) and 27 sarcopenic (Case)/possibly sarcopenic (preCase) individuals and analyzed the intestinal microbiota using 16S rRNA sequencing. We observed an overall reduction in microbial diversity in Case and preCase samples. The genera Lachnospira, Fusicantenibacter, Roseburia, Eubacterium, and Lachnoclostridium—known butyrate producers—were significantly less abundant in Case and preCase subjects while Lactobacillus was more abundant. Functional pathways underrepresented in Case subjects included numerous transporters and phenylalanine, tyrosine, and tryptophan biosynthesis suggesting that protein processing and nutrient transport may be impaired. In contrast, lipopolysaccharide biosynthesis was overrepresented in Case and PreCase subjects suggesting that sarcopenia is associated with a pro-inflammatory metagenome. These analyses demonstrate structural and functional alterations in the intestinal microbiota that may contribute to loss of skeletal muscle mass and function in sarcopenia.

Cardiac rehabilitation program is well‐established but the Rehabilitation After Myocardial Infarction Trial (RAMIT) is reported that it does not affect mortality and morbidity of patients after myocardial infarction during follow‐up period. The objectives of the study were to compare functional walking capacity, risk factor control, and morbidities in follow‐up for cardiac rehabilitation (exercise + education), exercise only, and usual care among patients with coronary artery disease. A total of 492 male and female patients (age range: 45–73 years) with coronary artery disease after myocardial infarction or underwent percutaneous coronary intervention or coronary artery bypass grafting surgeries referred to cardiac rehabilitation were included in the study. Patients were participating in a cardiac rehabilitation program (exercise + education, CRP cohort, n = 125), exercise only (USC cohort, n = 182), or usual care (NCR cohort, n = 185). Data regarding incremental shuttle walk test, lipid profile, the Patient Health Questionnaire 9, and morbidities in follow‐up of patients were retrospectively collected and analyzed. After completion of 1 year, cardiac rehabilitation program (p < 0.0001, q = 20.939) and exercise (p < 0.0001, q = 6.059) were successfully increased incremental shuttle walk test. After completion of 1 year, cardiac rehabilitation program reduced low‐density lipoprotein (p = 0.007, q = 3.349) and depressive symptoms (p < 0.0001, q = 5.649). Morbidities were reported fewer in the patients of CRP cohort than those of USC (p = 0.003, q = 3.427) and NCR (p = 0.003, q = 4.822) cohorts after completion of 1 year of program. Cardiac rehabilitation program (exercise +education) improved functional walking capacity, controlled risk factors, and reduced morbidities of patients with coronary artery disease than exercise only and usual care (Level of evidence: III).

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The issue of air pollution has attracted more and more attention. Understanding how to predict air quality based on weather conditions has strong practical significance. For the first time, this paper combines weather circulation with climate prediction models to explore long-term air quality predictions. Using the T-mode (time realizations in columns) objective circulation classification method, we classified the weather circulation affecting Beijing, China, according to nine categories of predominant weather conditions. PM2.5, NO2, SO2, and CO concentration distributions for these nine circulation patterns were also determined. When the Beijing area was controlled by northwestern low pressure, a high-pressure rear, or a weak pressure field, the PM2.5 concentrations were higher, while high-pressure systems and a high-pressure rear were mostly associated with relatively high NO2, SO2, and CO concentrations. The concentrations of these pollutants under high-pressure fronts and northwestern high-pressure settings were low. Using the FLEXPART-WRF model to simulate the 48 h backward trajectory of the highest PM2.5 concentration under the nine circulation patterns from 2015 to 2021, we obtained the trap time of pollutants per unit concentration (imprint analysis) and determined the particle trap area under each circulation pattern. When using the EC-Earth climate prediction model, the daily circulation field during the Beijing Winter Olympics was forecasted, and the nine circulation patterns were compared. The corresponding circulation pattern in Beijing during the 2022 Winter Olympics should be conducive to the diffusion of pollutants and, therefore, the air quality is expected to be good.