1.Effect of Ditan Decoction combined with aripiprazole and olanzapine in treatment of schizophrenia and its influence on serum inflammatory factors changes
Yumei HE ; Guorong XIE ; Qing YANG ; Dinglun DUAN ; Yue QIN ; Xinlong WANG ; Minggui LUO ; Fangyan DONG
Chongqing Medicine 2024;53(19):2970-2974,2980
Objective To study the effect of Ditan Decoction combined with aripiprazole and olanzapine in the treatment of schizophrenia and its influence on serum inflammatory factors chnage.Methods Seventy-seven patients with schizophrenia meeting the requirements visiting the outpatient department and hospitalized in Dazu District Hospital of Traditional Chinese Medicine and Dazu District Mental Health Center from July 2021 to March 2023 were selected as the study subjects and divided into the observation group(n=38)and control group(n=39).The control group was treated with aripiprazole and olanzapine,and the observation group was combined with Ditan Decoction on the basis of the control group.After 8 weeks of treatment,the TCM syndrome scores,Positive and Negative Syndrome Scale(PANSS)score,serum inflammatory factors(IL-6,IL-1β,IL-17)levels were compared between the two groups.Results The total effective rate was 97.37%in the observation group and 84.65%in the control group,and the difference was statistically signifi-cant(P<0.05).The TCM syndrome score of each item and total scores after treatment in the observation group were lower than those in the control group(P<0.05),the PANSS positive symptoms,negative symp-toms,general psychopathology and total scores in the observation group were lower than those in the control group(P<0.05).The IL-17,IL-6 and IL-1β levels after treatment in observation group were lower than those in the control group(P<0.05).Conclusion Ditan Decoction combined with aripiprazole and olanzapine has significant clinical efficacy in the treatment of schizophrenia,which could further reduce the symptom score of the patients and improve the serum inflammatory factors levels.The treatment is highly safe and worthy of clinical recommendation.
2.Influence of extreme weather on years of life lost due to diabetes death in Chongqing and Harbin, China
Yonghong LI ; Shuquan LUO ; Li LAN ; Minggui JIN ; Chao YANG ; Jinyu HE ; Hongbing LI ; Chengcheng LI ; Yibin CHENG ; Yinlong JIN
Chinese Journal of Epidemiology 2017;38(3):303-308
Objective To understand the associations between extremely low and high air temperature and the years of life lost (YLL) due to diabetes deaths in Chongqing and Harbin with different climatic characteristics in China.Methods A double threshold B-spline distributed lag non-linear model (DLNM) was used to investigate the lag and cumulative effects of extremely low and high air temperature on YLL due to diabetes for lag 0-30 days by using the urban meteorological and diabetes mortality data of Chongqing (2011-2013) and Harbin (2008-2010).The effects were expressed as relative risk (RR).Results In Chongqing,the cold effects on YLL due to diabetes were delayed by four days and lasted for three days (lag4-6) with the highest RR of 1.304 (95% CI:1.033-1.647) at lag5.The hot effects were delayed by one day (lagl) with RR of 1.321 (95% CI:1.061-1.646).In Harbin,the extreme cold effects on YLL were delayed by four days and lasted for seven days (lag4-10) with the highest RR of 1.309 (95%CI:1.088-1.575) at lag6.The hot effects were delayed by one day and lasted for four days (lagl-4) with the highest RR of 1.460 (95% CI:1.114-1.915) at lag2.The unit risk for cold and hot effects was 43.7% (P=0.005 5) and 18.0% (P=0.000 2) in Chongqing and 15.0% (P=0.000 8) and 29.5%(P=0.001 2) in Harbin,respectively.Conclusions Both extremely low air temperature and extremely high air temperature might increase the years of life lost due to diabetes in cities with different climate characteristics.Health education about diabetes prevention should provide information about the effects of extreme weather events.
3.Establishment of HPLC fingerprint and content determination of differential components in Ligusticum sinense
Weiwei GONG ; Guangming LUO ; Qian QIN ; Jinxiang ZENG ; Conglong XU ; Minggui LIU ; Shouwen ZHANG
China Pharmacy 2022;33(16):1968-1973
OBJECTIVE To establish the fingerprints of Ligusticum sinense from different habitats ,screen differential components and determine their contents. METHODS Using Z-ligustilide as reference ,HPLC fingerprints of 12 batches of L. sinense were established by using Similarity Evaluation System of Chromatographic Fingerprints of TCM (2012 edition);common peaks were identified and their similarities were evaluated. Cluster analysis (CA),principal component analysis (PCA)and orthogonal partial least squares-discriminant analysis (OPLS-DA)were performed to screen differential components with variable importance in the projection (VIP)>1 as standard ;meanwhile,the contents of above differential components were determined by the same HPLC method. RESULTS There were 17 common peaks in the fingerprints of 12 batches of L. sinense ,and their similarities ranged 0.989-1.000. A total of 9 common peaks were identified ,i.e. chlorogenic acid (peak 1),ferulic acid (peak 2), senkyunolide Ⅰ(peak 7),coniferyl ferulate (peak 9),E-ligustilide(peak 13),senkyunolide A (peak 14),Z-ligustilide(peak 17). CA results showed that 12 batches of L. sinense were divided into 3 categories,S1-S5(Wuning)were clustered into one category,S6-S8(Ruichang)were clustered into one category ,S9-S12(De’an)were clustered into one category ;the VIP values of peaks 2,13,14 and 17(corresponding to ferulic acid ,E-ligustilide,senkyunolide A ,and Z-ligustilide respectively )were all greater than 1,respectively. In S 1-S5,S6-S8 and S 9-S12 samples,the contents of ferulic acid were 0.488-0.533,0.603-0.658 and 0.415-0.433 mg/g,respectively;senkyunolide A were 1.184-1.295,1.450-1.588 and 1.307-1.377 mg/g,respectively;E-ligustilide were 0.118-0.125,0.130-0.135 and 0.223-0.229 mg/g,respectively;Z-ligustilide were 7.200-7.681,8.076-8.643 and 4.508-4.996 mg/g, respectively;the differences between two groups were statisti-cally significant (P<0.05). CONCLUSIONS Established ARS-11);fingerprint is simple and accurate ,and can be used for overall quality evaluation of L. sinense from different habitats by combining with multivariate statistical analysis. Ferulic acid , senkyunolide A ,Z-ligustilide and E-ligustilide may be the differential components that affect the quality of L. sinense from different habitats ,the contents of the first 3 components in L. sinense from Ruichang are the highest ,and the content of E-ligustilide in samples from De’an is the highest.