1.Explosion on the core outcome set (COS) in the clinical evaluation in the TCM clinical studies
Yanan SUN ; Changhe YU ; Wenqiang CHEN ; Xiaobo HUANG
International Journal of Traditional Chinese Medicine 2017;39(8):676-680
Recently, more systemic reviews and randomized controlled trials were published to prove the effectiveness of TCM,and some of those were included by Cochrane Library. But due to the potential selective reporting bias and publication bias, few trials were included in the meta analysis, which failed to prove the evidence for the TCM treatment. The difference of reported outcomes comes to the big problem of the comparison between interventions. Such problem of difference was gradually brought to the attention. Therefore, Core Outcome Sets(COS), which stands for that the minimum standardized outcome set that must be repoted, may be the solusion to that problem. In this research we've introduced the formation and development of core outcome sets in TCM.
2.Multispacer typing (MST) of spotted fever group rickettsiae isolated from humans and rats in Chengmai County, Hainan Province, China
Xueqin Cheng ; Yuming Jin ; Shijun Lao ; Changhe Huang ; Fang Huang ; Pengben Jia ; Lijuan Zhang
Tropical Medicine and Health 2014;():-
Spotted fever caused by spotted fever group rickettsiae (SFGR) is found throughout China. During 2007—2008, 28 human SFGR isolates and 34 rat SFGR isolates including 15 isolates from Rattus fulvescens, 5 isolates from R.edwardsi, 7 isolates from Callosciurus erythraeus roberti and 7 isolates from Dremomys rufigenis) were obtained from L929 cell culture. Previous research indicated that the 62 strains of SFGR mentioned above shared not only the same serophenotype but also 100% of identity sequences of 16S rRNA, gltA, ompA, groEL and 17KD, which enabled us to apply multispacer typing (MST) to the 62 SFGR isolates in the study. Six primer pairs, which were used for typing of Rickettsia rickettsii and Rickettsia conorii, were chosen, and the results exhibited greater nucleotide polymorphisms among the 62 isolates tested. A total of 48 distinct genotypes were identified. The dominant genotype, represented by h3 isolates, accounted for 21.7% (13/60) of the isolates tested, and the remaining 47 genotypes were all unique. Phylogenetic analysis showed that all the 48 genotypes could be classified in the same clade, while the genetically related strain, R.heilongjiangensis, was close but not the same as the cluster. We concluded that the genetically diverse of spotted fever group rickettsiae strains are endemic in Chengmai County, Hainan Province, China.
3.Multispacer Typing (MST) of Spotted Fever Group Rickettsiae Isolated from Humans and Rats in Chengmai County, Hainan Province, China
Xueqin Cheng ; Yuming Jin ; Shijun Lao ; Changhe Huang ; Fang Huang ; Pengben Jia ; Lijuan Zhang
Tropical Medicine and Health 2014;42(3):107-114
Spotted fever caused by spotted fever group rickettsiae (SFGR) is found throughout China. During 2007–2008, 28 human SFGR isolates and 34 rat SFGR isolates including 15 isolates from Rattus fulvescens, 5 isolates from R. edwardsi, 7 isolates from Callosciurus erythraeus roberti and 7 isolates from Dremomys rufigenis) were obtained from L929 cell culture. Previous research indicated that the 62 strains of SFGR mentioned above shared not only the same serophenotype but also 100% of identity sequences of 16S rRNA, gltA, ompA, groEL and 17KD, which enabled us to apply multispacer typing (MST) to the 62 SFGR isolates in the study. Six primer pairs, which were used for typing of Rickettsia rickettsii and Rickettsia conorii, were chosen, and the results exhibited greater nucleotide polymorphisms among the 62 isolates tested. A total of 48 distinct genotypes were identified. The dominant genotype, represented by h3 isolates, accounted for 21.7% (13/60) of the isolates tested, and the remaining 47 genotypes were all unique. Phylogenetic analysis showed that all the 48 genotypes could be classified in the same clade, while the genetically related strain, R. heilongjiangensis, was close but not the same as the cluster. We concluded that the genetically diverse of spotted fever group rickettsiae strains are endemic in Chengmai County, Hainan Province, China.
4.Resisin stimulates the expression of CCL3 and CCL4 in chondrocytes
Ziji ZHANG ; Yan KANG ; Zibo YANG ; Changhe HOU ; Guangxin HUANG ; Weishen CHEN ; Puyi SHENG ; Aishan HE ; Ming FU ; Weiming LIAO ; Zhiqi ZHANG
Chinese Journal of Tissue Engineering Research 2015;(15):2297-2304
BACKGROUND:Previous studies have indicated that resistin stimulates a large set of chemokines in chondrocytes that are known to be important in inflammatory joint lesions.
OBJECTIVE:To further investigate the mechanism of co-regulation roles of transcription and post-transcription in the up-regulation of two chemokine genes CCL3 and CCL4 in chondrocytes in response to resistin.
METHODS:Human chondrocytes, T/C-28a2 and ATDC5 cels were cultured. The function of resistin on the chemokine genes, and the expression of C/EBPβ, nuclear factor-κB isoforms and chondrogenic specific miRNAs were tested by qPCR. The co-regulation of C/EBPβ and nuclear factor-κB was investigated by nuclear factor-κB inhibitor (IKK-NBD) and C/EBPβ inhibitor (SB303580) treatments, and subcelular localization was detected with or without resistin stimulation.
RESULTS AND CONCLUSION:Resistin could increase the expression of chemokine genes independently. Chondrocytes reacted in a non-restrictedly cel-specific manner to resistin; C/EBPβ inhibitor, nuclear factor-κB and some chondrogenic specific miRNAs in a combinatorial manner regulated chemokine gene expression. The activity of C/EBPβ was augmented by a transient increase in activity of nuclear factor-κB, and both transcription factors acted independently on the chemokine genes, CCL3 and CCL4.
5.Epidemiological analysis of the current prevalence of hepatitis B virus infection among pregnant and postpartum women in China from 2021 to 2023
Dongxu HUANG ; Xiaoyan WANG ; Qian WANG ; Ya GAO ; Yu WANG ; Changhe WANG ; Ailing WANG
Chinese Journal of Hepatology 2024;32(5):449-452
Objective:To analyze hepatitis B serologic tests and the current prevalence of hepatitis B virus (HBV) infection among pregnant and postpartum women in China from 2021 to 2023.Methods:Data on managing the prevention of mother-to-child transmission of HIV, syphilis, and hepatitis were retrieved from the National Information System. A positive serum HBsAg test was used to define HBV infection. The χ2 test was used to compare the coverage rate of the hepatitis B serologic test across different years, in early-stage pregnancy, and the current HBV infection in pregnant and postpartum women. A two-sided P value of <0.05 was considered a statistically significant difference. Results:The coverage rate for hepatitis B serological detection in pregnant (including intrapartum) and postpartum women and early-stage pregnancy rose from 99.68% (10?463?059/10?496?883) and 82.96% (8?707?765/10?496?883) to 99.94% (8?678?777/8?684?387, P ?0.001) and 88.87% (7?717?857/8?684?387, P ?0.001) in China between 2021 and 2023. The current prevalence rate of HBV infection decreased from 4.98% (521?479/10?463?059) in 2021 to 4.56% (396?148/8?678?777) in 2023 among pregnant and postpartum women ( P ?0.001). The current prevalence rate of HBV infection ranged from 1.53% to 10.39% among pregnant and postpartum women in various provinces of China in 2023. Conclusion:The coverage rate for hepatitis B serologic tests in China increased significantly between 2021 and 2023 in pregnant and postpartum women. Therefore, the current prevalence rate of HBV infection has decreased significantly in pregnant and postpartum women, but a regional difference still exists.
6.Construction and validation of a simple model for predicting the risk of prenatal depression
Yujia LIAO ; Siyu CHEN ; Xiangyu DENG ; Yanqiong GAN ; Shulei HAN ; Xinlin TAN ; Yue HUANG
Sichuan Mental Health 2023;36(5):466-472
BackgroundMental illness during pregnancy has become a major public health problem in China over the recent years, and depression is the most common psychological symptom during pregnancy. Current research efforts are directed towards the therapy on prenatal depression, whereas the construction of prediction model for prenatal depression risk has been little studied. ObjectiveTo construct a simple model for predicting the risk of prenatal depression, thus providing a valuable reference for the prevention of maternal depression during pregnancy. MethodsA total of 803 pregnant women attending three hospitals in Nanchong city were consecutively recruited from May 2021 to February 2022. A self-administered questionnaire was developed for the assessment of social demographic variables, obstetrical and general medical indexes and psychological status of all participants, and Self-rating Depression Scale (SDS) was utilized to screen for the presence of maternal depression. Subjects were randomly assigned into modelling group (n=635) and validation group (n=168) at the ratio of 8∶2 under simple random sampling with replacement. The candidate risk factors of maternal depression during pregnancy were screened using binary Logistic regression analysis, and the predictive model was constructed. Then the performance of the predictive model was validated using receiver operating characteristics (ROC) curve. Results① Lack of companionship (β=-0.692, OR=0.501, 95% CI: 0.289~0.868), low mood during the last menstrual period (β=-1.510, OR=0.221, 95% CI: 0.074~0.656), emotional stress during the last menstrual period (β=-1.082, OR=0.339, 95% CI: 0.135~0.853), unsatisfactory relationship between mother-in-law and daughter-in-law (β=-1.228, OR=0.293, 95% CI: 0.141~0.609), and indifferent generally relationship between mother-in-law and daughter-in-law (β=-0.831, OR=0.436, 95% CI: 0.260~0.730) were risk factors for prenatal depression in pregnant women (P<0.05 or 0.01). ② Model for predicting the prenatal depression risk yielded an area under curve (AUC) of 0.698 (95% CI: 0.646~0.749), the maximum Youden index was 0.357 in modelling group with the sensitivity and specificity was 0.606 and 0.751, and an AUC of 0.672 (95% CI: 0.576~0.767) and maximum Youden index of 0.263 in validation group with the sensitivity and specificity of 0.556 and 0.707. ConclusionThe simple model constructed in this study has good discriminant validity in predicting of the risk of prenatal depression. [Funded by Nanchong Social Science Research Project of the 14th Five-Year Plan (number, NC21B165)]