Objectives To investigate the relationship between albuminuria and all-cause mortality and cardiovascular mortality in middle-to-old-aged Chinese population. Methods A total of 2500 residents aged more than 40 years old were selected using random cluster sampling in Shougang community, Beijing, and 2315 of them took part in the survey finally. Morning urinary samples were collected. Urinary albumin and creatinine were measured. Albumin to creatinine ratio (ACR) was calculated and used as an index of albuminuria. The subjects were grouped according to ACR: normoalbuminuria (NO, ACR＜ 30 mg/g), microalbuminuria (MI, ACR 30-299 mg/g), and macroalbuminuria (MA, ACR ≥ 300 mg/g). Albuminuria (AL) group consisted of MI group and MA group. Cardiovascular risk factors were also investigated. Then all-cause mortality and cardiovascular mortality were collected after 4 years. The Cox model was used to analyze the relationship between albuminuria and all-cause mortality after adjusting for confounders. Results The prevalence of microalbuminuria and macroalbuminuria was 7.6% and 1.4% respectively. After 4 years follow-up,the cardiovascular mortality was 2.7/1000 person-years in NO group, 19.9/1000 person-years in MI group, and 11.5/1000 person-years in MA group and the all-cause mortality was 6.6/1000,25.9/1000 and 57.5/1000 person-years respectively. After adjusting for age, gender, smoking, body mass index, serum lipids, hypertension, diabetes mellitus, cardiovascular disease at baseline and serum creatinine, the hazard ratio (HR) of cardiovascular mortality in AL group was 5.26 [95% confidence intervals (CI) 2.26-12.24] compared with NO group; the HR of all-cause mortality was 3.34 (95% CI 1.82-6.15). Among patients without cardiovascular disease at baseline, the corresponding HRs were 6.92 (95%CI 1.80-26.58) and 2.85 (95%CI 1.22-6.65) respectively.Conclusion In the population studied, albuminuria is an independent risk factor for all-cause mortality and cardiovascular mortality.

Objective To explore the difference in gut microbiota composition between patients with obstructive sleep apnea(OSA)and healthy individuals and the role of gut microbiota in the pathogenesis of OSA.Methods Thirty-nine patients with OSA admitted to our hospital between May and December,2022 and 20 healthy individuals were enrolled in this study.Stool samples were collected from all the participants for analysis of microbiome composition using 16S rRNA high-throughput sequencing analysis.The alpha diversity,beta diversity,and species difference were determined between the two groups and marker species analysis and metabolic pathway function prediction analysis were performed.Results The species diversity(Shannon and Simpson)indexes,richness(observed species)and evenness(Pielou)of gut microbiota were significantly lower in OSA patients than in the healthy individuals(P<0.05).The OSA patients had also a significantly lowered community diversity(P<0.05)with different gut microbial communities from those of the healthy individuals shown by increased relative abundance of potentially pathogenic bacteria such as Pseudomonas and Monocytogenes(P<0.05).LEfSe analysis showed that the abundance of 23 species of gut microbiota differed significantly between the two groups and the OSA patients had significant increases in the abundance of Pseudomonas,Meganomonas,and Fusobacterium(P<0.05).The differential marker flora affected host homeostasis.Random Forest and ROC curve analyses confirmed that Pseudomonas could be used as important biomarkers for a differential diagnosis.Metabolic pathway function prediction analysis showed that biosynthesis function had the greatest contribution to maintaining gut microbiota homeostasis,and Pseudomonas affected the occurrence and progression of OSA by participating in aromatic bioamine degradation and ketogluconic acid metabolic pathway.Conclusion OSA patients have obvious gut microbiota disturbances,and Pseudomonas may affect the development of OSA by participating in substance metabolism to serve as the potential target gut bacteria for OSA treatment.

Objective To explore the difference in gut microbiota composition between patients with obstructive sleep apnea(OSA)and healthy individuals and the role of gut microbiota in the pathogenesis of OSA.Methods Thirty-nine patients with OSA admitted to our hospital between May and December,2022 and 20 healthy individuals were enrolled in this study.Stool samples were collected from all the participants for analysis of microbiome composition using 16S rRNA high-throughput sequencing analysis.The alpha diversity,beta diversity,and species difference were determined between the two groups and marker species analysis and metabolic pathway function prediction analysis were performed.Results The species diversity(Shannon and Simpson)indexes,richness(observed species)and evenness(Pielou)of gut microbiota were significantly lower in OSA patients than in the healthy individuals(P<0.05).The OSA patients had also a significantly lowered community diversity(P<0.05)with different gut microbial communities from those of the healthy individuals shown by increased relative abundance of potentially pathogenic bacteria such as Pseudomonas and Monocytogenes(P<0.05).LEfSe analysis showed that the abundance of 23 species of gut microbiota differed significantly between the two groups and the OSA patients had significant increases in the abundance of Pseudomonas,Meganomonas,and Fusobacterium(P<0.05).The differential marker flora affected host homeostasis.Random Forest and ROC curve analyses confirmed that Pseudomonas could be used as important biomarkers for a differential diagnosis.Metabolic pathway function prediction analysis showed that biosynthesis function had the greatest contribution to maintaining gut microbiota homeostasis,and Pseudomonas affected the occurrence and progression of OSA by participating in aromatic bioamine degradation and ketogluconic acid metabolic pathway.Conclusion OSA patients have obvious gut microbiota disturbances,and Pseudomonas may affect the development of OSA by participating in substance metabolism to serve as the potential target gut bacteria for OSA treatment.