1.QUADAS-C—A tool for assessing risk of bias regarding Quality Assessment of Diagnostic Accuracy Studies-Comparative
Qiuyu YANG ; Yao LU ; Xinling XIE ; Honghao LAI ; Chen TIAN ; Meng NIU ; Jinhui TIAN ; Ni LI ; Jiang LI ; Long GE
Chinese Journal of Epidemiology 2022;43(6):938-944
This paper introduced the Quality Assessment of Diagnostic Accuracy Studies-Comparative (QUADAS-C), illustrated the comparison with the QUADAS-2, and using QUADAS-C together with QUADAS-2 to present QUADAS-C results through systematic reviews. Like the domain for QUADAS-2, QUADAS-C retained four domains, including patient selection, index test, reference standard, flow, and timing, and comprised additional questions for each QUADAS-2 part. Unlike the QUADAS-2 tool, the starting question of each domain for QUADAS-C was designed to summarize the risk of biased information captured by QUADAS-2. QUADAS-C only dealt with the risk of bias but did not include the part of concerns regarding applicability. The answers to signaling questions for each domain of QUADAS-C would lead to a 'low''high' or 'unclear' risk of biased judgment for the original study.
2.Regulatory effect of BTK on mouse Alzheimer disease-like pathology via NEK7-NLRP3 signaling pathway
Jianfeng MA ; Xiaobing LI ; Qiying SHEN ; Mei CHEN ; Qiuyu XIE ; Yinghua LIU
Chinese Journal of Pathophysiology 2024;40(9):1569-1579
AIM:To investigate the impact of Bruton tyrosine kinase(BTK)on Alzheimer disease(AD)-like pathology through the NIMA(never in mitosis gene A)-related kinase 7(NEK7)-nucleotide-binding oligomerization do-main-like receptor protein 3(NLRP3)pathway.METHODS:5xFAD and wild-type(WT)mice aged 2,4 and 6 months were utilized to assess the expression of BTK,NEK7 and NLRP3 proteins in the hippocampus and cortex via Western blot and immunofluorescence.Co-immunofluorescence was conducted to identify the interaction between NEK7 and NLRP3 in the brains of 4-month-old mice.Three-month-old mice were divided into a control group and an ibrutinib treatment group,receiving intraperitoneal injections of ibrutinib(10 mg/kg)or solvent for 14 d,and were then subjected to behavioral as-sessments including learning and memory tests using the Morris water maze and Y-maze.Wild-type mice were induced with an AD model by intracerebroventricular injection of Aβ42.Morris water maze tests were performed after 14 d to eva-luate learning and memory,followed by measurement of BTK protein levels in the brain via Western blot.BV2 microglial cells were treated with ibrutinib,followed by LPS or Aβ42 stimulation.Western blot analysis was conducted to measure the protein levels of NEK7,NLRP3,BTK and p-BTK(Y223),while immunofluorescence was used to assess the protein expression of ASC,caspase-1,NEK7 and NLRP3.RESULTS:The levels of BTK,NEK7 and NLRP3 in the brains of 5×FAD mice were significantly elevated compared to WT mice,with observed interaction between NEK7 and NLRP3 in the 5xFAD mouse brains.Ibrutinib treatment significantly improved learning and memory functions in mice compared to the AD group.In BV2 cells,pre-treatment with ibrutinib effectively suppressed the NLRP3 inflammasome pathway and NEK7 proteins in response to Aβ42 stimulation.CONCLUSION:BTK plays a regulatory role in AD-like pathology through the NEK7-NLRP3 pathway both in vivo and in vitro.
3.Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors.
Qiuyu MENG ; Xun LIU ; Jiajia XIE ; Dayong XIAO ; Yi WANG ; Dan DENG
Environmental Health and Preventive Medicine 2019;24(1):82-82
BACKGROUND:
This study aimed to analyse the epidemiological characteristics of bacillary dysentery (BD) caused by Shigella in Chongqing, China, and to establish incidence prediction models based on the correlation between meteorological factors and BD, thus providing a scientific basis for the prevention and control of BD.
METHODS:
In this study, descriptive methods were employed to investigate the epidemiological distribution of BD. The Boruta algorithm was used to estimate the correlation between meteorological factors and BD incidence. The genetic algorithm (GA) combined with support vector regression (SVR) was used to establish the prediction models for BD incidence.
RESULTS:
In total, 68,855 cases of BD were included. The incidence declined from 36.312/100,000 to 23.613/100,000, with an obvious seasonal peak from May to October. Males were more predisposed to the infection than females (the ratio was 1.118:1). Children < 5 years old comprised the highest incidence (295.892/100,000) among all age categories, and pre-education children comprised the highest proportion (34,658 cases, 50.335%) among all occupational categories. Eight important meteorological factors, including the highest temperature, average temperature, average air pressure, precipitation and sunshine, were correlated with the monthly incidence of BD. The obtained mean absolute percent error (MAPE), mean squared error (MSE) and squared correlation coefficient (R) of GA_SVR_MONTH values were 0.087, 0.101 and 0.922, respectively.
CONCLUSION
From 2009 to 2016, BD incidence in Chongqing was still high, especially in the main urban areas and among the male and pre-education children populations. Eight meteorological factors, including temperature, air pressure, precipitation and sunshine, were the most important correlative feature sets of BD incidence. Moreover, BD incidence prediction models based on meteorological factors had better prediction accuracies. The findings in this study could provide a panorama of BD in Chongqing and offer a useful approach for predicting the incidence of infectious disease. Furthermore, this information could be used to improve current interventions and public health planning.