Association between gut microbiome and intracerebral hemorrhage based on genome-wide association study data / 中南大学学报(医学版)

OBJECTIVES@#Intracerebral hemorrhage (ICH) has the highest mortality and disability rates among various subtypes of stroke. Previous studies have shown that the gut microbiome (GM) is closely related to the risk factors and pathological basis of ICH. This study aims to explore the causal effect of GM on ICH and the potential mechanisms.@*METHODS@#Genome wide association study (GWAS) data on GM and ICH were obtained from Microbiome Genome and International Stroke Genetics Consortium. Based on the GWAS data, we first performed Mendelian randomization (MR) analysis to evaluate the causal association between GM and ICH. Then, a conditional false discovery rate (cFDR) method was conducted to identify the pleiotropic variants.@*RESULTS@#MR analysis showed that Pasteurellales, Pasteurellaceae, and Haemophilus were negatively correlated with the risk of ICH, whileVerrucomicrobiae, Verrucomicrobiales, Verrucomicrobiaceae, Akkermansia, Holdemanella, and LachnospiraceaeUCG010 were positively correlated with ICH. By applying the cFDR method, 3 pleiotropic loci (rs331083, rs4315115, and rs12553325) were found to be associated with both GM and ICH.@*CONCLUSIONS@#There is a causal association and pleiotropic variants between GM and ICH.

The different effect of sleep quality on health-related quality of life among young and middle-aged people / 中华行为医学与脑科学杂志

Objective:To investigate the characteristics of the sleep quality and health-related quality of life (HRQoL), and analyze the different effects of sleep quality on HRQoL among young and middle-aged people.Methods:A cross-sectional study recruited 1 976 participants.All participants completed a self-designed questionnaire for the adults' general condition, the Pittsburgh sleep quality index (PSQI) and Short-Form health survey (SF-36). All participants were divided into 3 age groups: 18-29-year-old group( n=1 148), 30-44-year-old group( n=586) and 45-59-year-old group ( n=242). SPSS 23.0 software was used for statistical analysis.Chi-square test was used to analyze the general characteristics of the three age groups.Non-parametric test was used to analyze the scores of the three age groups in different dimensions of sleep quality. One-way ANOVA was used to analyze the mean scores of the three age groups in different dimensions of HRQoL. Stepwise regression analysis was used to analyze the effect of sleep quality on HRQoL among the three groups after control the confounding factors such as marital status, education, smoking, drinking and exercise habits and past medical history. Results:In terms of sleep quality, the total PSQI scores of 18-29-year-old, 30-44-year-old and 45-59-year-old groups(4(2, 6), 4(2, 6), 4(2, 6)) showed statistically significant differences ( Z=10.951, P=0.004). In terms of HRQoL, there were statistically significant differences in physical component summary scores (18-29-year-old: 82.51±12.62, 30-44-year-old: 80.72±13.63, 45-59-year-old: 82.04±13.07, F=3.667, P=0.026) and mental component summary scores(18-29-year-old: 76.09±15.46, 30-44-year-old: 77.20±16.14, 45-59-year-old: 81.82±14.14, F=13.649, P<0.001) among young and middle-aged people in different age groups.Regression analysis found that daytime dysfunction was an independent influencing factor for HRQoL in young and middle-aged population ( β=-0.308--0.425, all P<0.01). Sleep disorders significantly decreased Physical Component Summary of HRQoL in young-aged people ( β=-0.127--0.215, all P<0.01). The use of hypnotic drugs significantly reduced the scores in the physiological field in the young adults aged 30-44 ( β=-0.076, P<0.05). The duration of sleep significantly decreased the scores in the mental domain of young adults aged 30-44 ( β=-0.112, P<0.01). Subjective sleep quality was an independent factor that significantly decreased HRQoL in young adults aged 18-29 and 30-44 years ( β=-0.089--0.169, all P<0.01). Conclusion:Sleep quality and HRQoL of young and middle-aged people in different age groups show different characteristics.The effect of sleep quality on HRQoL is different among people in different ages.Taking targeted interventions for people of different ages to improve the sleep quality may be an effective way to improve their HRQoL.

Characteristics of HIV's sexual behavior and their effect on the secondary transmission rate / 中南大学学报(医学版)

OBJECTIVE@#To analyze the sexual behavior characteristics of the sexually transmitted HIV-positive people and to estimate the secondary transmission rate.
@*METHODS@#Field investigation and literature review were conducted among sexually transmitted HIV-positive people to collect general information during the last 6 months before notification of HIV infection. A mathematical model was used to estimate the secondary transmission rate.
@*RESULTS@#A total of 769 HIV-positive people were recruited for the study, 186 of them were women, 286 were men who have sex with women (MSW), 242 were men who have sex with men (MSM) and 55 were men who have sex with men and women (MSMW). During 6 months, the average sex partner among these 4 groups were 2.29, 1.61, 3.32 and 4.10, respectively; the sexual behavior frequency were 26.03, 20.97, 14.77 and 25.51, respectively; the rates of non-use of condom were 74.14%, 73.53%, 59.60% and 72.06%, respectively; the secondary transmission rate were 0.0095, 0.0151, 0.1759 and 0.1985, respectively. Under constant conditions of other factors, the secondary transmission rates decreased by 30.13%-82.00%, 23.00%-49.51%, and 16.10%-19.09%, respectively, if there was a reduction in 1 sex partner, 1 time/month for the sexual frequency and 20% of rate for non-use of condom.
@*CONCLUSION@#The HIV secondary transmission from MSMW HIV-positive people to general population was the highest. Change in sexual behavior of the HIV-positive people can decrease the HIV secondary transmission rate significantly.

Epidemiological situation and temporal-spatial clustering changes of hand-foot-mouth disease from 2009 to 2015 in Hunan / 中南大学学报(医学版)

OBJECTIVE@#To investigate the epidemiological situation and temporal-spatial clustering changes of hand-foot-mouth disease (HFMD) in Hunan.
@*METHODS@#Spatial autocorrelation and temporal-spatial clustering analysis were used to analyze the HFMD in Hunan.
@*RESULTS@#The incidence rates of HFMD ranged from 54.31/10 million to 318.06/10 million between 2009 and 2015 in Hunan. Cases mainly displayed in 5-year-old or even younger children and there were two epidemic periods each year. HFMD cases did not show a random distribution but with significant spatial aggregation. When local autocorrelation analysis was applied at the county/district level, 4 hot spots in Changsha, Yiyang, Loudi and Zhuzhou were discovered. The tendency for temporal and spatial clustering existed among HFMD cases in Hunan. The temporal dimension of HFMD was from April to July annually. Clustering areas gathered in the northern regions in 2009 and in the middle regions from 2010 to 2012. They moved to middle-southern regions in 2013 or 2014 and middle-western regions in 2015. 
@*CONCLUSION@#The HFMD incidence from 2009 to 2015 in Hunan showed temporal and spatial clustering tendency, with the shifting trend of clustered areas toward south and west.