1.Analysis of proteomics of seminal plasma from male patients with idiopathic infertility
Xuyi REN ; Minlan ZHOU ; Xinzong ZHANG ; Yang LIU ; Runliu YU
Basic & Clinical Medicine 2006;0(07):-
Objective To discover biological markers of male infertility.Methods Two-dimensional electrophoresis and Mass-Spectrum techniques(MS+MS/MS) were used for analyzing the seminal plasma from idiopathic male infertility and the control.Results Serum albumin and prostatic acid phosphatase were reduced in seminal plasma from idiopathic male infertility,while Cathepsin B and Zn-alpha-2-glycoprotein were increased.ConclusionIdiopathic male infertility was potentially associated with disorder of sperm capacitation and seminal immune function.
2.Pollution status and distribution characteristics of indoor air bacteria in subway stations and compartments in a city of Central South China
Shuyan CHENG ; Zhuojia GUI ; Liqin SU ; Guozhong TIAN ; Tanxi GE ; Jiao LUO ; Ranqi SHAO ; Feng LI ; Weihao XI ; Chunliang ZHOU ; Wei PENG ; Minlan PENG ; Min YANG ; Bike ZHANG ; Xianliang WANG ; Xiaoyuan YAO
Journal of Environmental and Occupational Medicine 2024;41(7):801-806
Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO2), fine particulate matter (PM2.5), and inhalable particulate matter (PM10) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min−1, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO2 concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM2.5, and PM10 in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO2, but 0% for humidity. The overall median (P25, P75) total bacteria count was 177 (138,262) CFU·m−3. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.