1.Effects of Estradiol tablet/Estradiol and dydrogesterone tablet combined with Dan’e fukang decoction on post-operative indicators in patients with high risk of endometrial basal layer injury after induced abortion
Fei FU ; Yu HAN ; Xianmei WEI
China Pharmacy 2025;36(8):966-969
OBJECTIVE To investigate the effects of Estradiol tablet/Estradiol and dydrogesterone tablet combined with Dan’e fukang decoction on postoperative recovery, sex hormone levels, uterine artery blood flow, and endometrium in patients with high risk of endometrial basal layer injury after induced abortion, and evaluate the safety of drug use. METHODS A retrospective analysis was conducted on the clinical data of 244 patients with high risk of endometrial basal layer injury who underwent artificial abortions in our hospital between January 2022 and December 2023. They were divided into control group (120 cases) and observation group (124 cases) according to postoperative medication plan. All patients received anti-infective treatment after induced abortion. Based on it, control group was given Estradiol tablet/Estradiol and dydrogesterone tablet, and observation group was given Estradiol tablet/Estradiol and dydrogesterone tablet+Dan’e fukang decoction, for consecutive 28 d. The time of vaginal bleeding, abdominal pain, return of menstruation, and vaginal bleeding volume were observed in 2 groups; serum sex hormone levels [serum follicle stimulating hormone (FSH), luteinizing hormone (LH), estradiol, and progesterone], uterine artery blood flow parameters [peak systolic blood flow velocity (PSV), pulsatility index (PI), and resistance index (RI)] and endometrial thickness were compared between the two groups before and after treatment. The occurrence of complications and adverse reactions in patients were recorded. RESULTS After treatment, the duration of vaginal bleeding, vaginal bleeding volume, duration of abdominal pain, and menstrual cycle recovery time in observation group were significantly shorter or less than the control group (P<0.05). After treatment, both groups exhibited a significant increase in endometrial thickness, serum FSH and LH levels, and PSV, compared to before treatment, and the observation group was significantly thicker/higher than the control group (P<0.05); the levels of estradiol and progesterone, as well as the values of PI and RI, were significantly lower than those before treatment, and the observation group was significantly lower than the control group (P<0.05). The total incidence of postoperative complications in observation group was significantly lower than control group (P<0.05), but there was no significant difference in the total incidence of adverse reactions between the 2 groups (P>0.05). CONCLUSIONS Estradiol tablet/Estradiol and dydrogesterone tablet combined with Dan’e fukang decoction can accelerate the postoperative recovery of patients with high risk of endometrial basal layer injury after induced abortion, promote endometrial growth, regulate serum sex hormone levels, improve uterine artery blood flow, reduce postoperative complications, and have good safety.
2. Influence of quercetin on aging of bone marrow mesenchymal stem cells induced by microgravity
Yu-Tian YANG ; Ying-Ying XUAN ; Yu-Tian YANG ; Ying-Ying XUAN ; Yu-Hai GAO ; Long-Fei WANG ; Han-Qin TANG ; Zhi-Hui MA ; Liang LI ; Yi WU ; Ke-Ming CHEN ; Yu-Tian YANG ; Ying-Ying XUAN ; Yu-Hai GAO ; Long-Fei WANG ; Han-Qin TANG ; Zhi-Hui MA ; Liang LI ; Yi WU ; Ke-Ming CHEN
Chinese Pharmacological Bulletin 2024;40(1):38-45
Aim To investigate the effect of quercetin on the aging model of bone marrow mesenchymal stem cells established under microgravity. Methods Using 3D gyroscope, a aging model of bone marrow mesenchymal stem cells was constructed, and after receiving quercetin and microgravity treatment, the anti-aging effect of the quercetin was evaluated by detecting related proteins and oxidation indexes. Results Compared to the control group, the expressions of age-related proteins p21, pi6, p53 and RB in the microgravity group significantly increased, while the expressions of cyclin D1 and lamin B1 significantly decreased, with statistical significance (P<0.05). In the microgravity group, mitochondrial membrane potential significantly decreased (P<0.05), ROS accumulation significantly increased (P <0.05), SOD content significantly decreased and MDA content significantly increased (P<0.05). Compared to the microgravity group, the expressions of age-related proteins p21, pi6, p53 and RB in the quercetin group significantly decreased, while the expressions of cyclin D1 and lamin B1 significantly increased, with statistical significance (P<0.05). In the quercetin group, mitochondrial membrane potential significantly increased (P<0.05), ROS accumulation significantly decreased (P<0.05), SOD content significantly increased and MDA content significantly decreased (P<0.05). Conclusions Quercetin can resist oxidation, protect mitochondrial function and normal cell cycle, thus delaying the aging of bone marrow mesenchymal stem cells induced by microgravity.
3. Mechanism of Fufang Congrong Yizhi Capsules in treatment of mild cognitive impairment based on network pharmacology
Qin HAN ; Xiao-Yu XU ; Yi-Fei GENG ; Xiao-Bo SUN ; Yun LUO ; Jing-Jing LIU
Chinese Pharmacological Bulletin 2024;40(2):334-343
Aim To predict the mechanism of Fufang Congrong Yizhi Capsules (FCYC) in the treatment of mild cognitive impairment (MCI) by network pharmacology method, and further validate it in combination with cellular experiments. Methods TCMSP, Gene-Cards, OMIM and TTD databases, Chinese Pharmacopoeia and related literature were used to screen the active ingredients of FCYC and the targets of MCI treatment. The TCM-compound-target-disease network and PPI of intersection targets were constructed, and the GO and KEGG analysis were performed by the Ehamb bioinformation platform. GO and KEGG analysis were performed through Yihanbo biological information platform. Cell model of MCI was established by PC-12 injury induced by Aβ
4. Mechanism of levosimendan in treating hypoxic pulmonary hypertension based on network pharmacology and molecular docking technology
Xiao-Dan ZHANG ; Yu-Liang XIE ; Meng-Dan GAO ; Ao-Xue YUAN ; Han-Fei LI ; Tian-Tian ZHU ; Xiao-Dan ZHANG ; Yu-Liang XIE ; Meng-Dan GAO ; Ao-Xue YUAN ; Han-Fei LI ; Tian-Tian ZHU ; Xiao-Dan ZHANG ; Yu-Liang XIE ; Meng-Dan GAO ; Ao-Xue YUAN ; Han-Fei LI ; Tian-Tian ZHU
Chinese Pharmacological Bulletin 2024;40(3):565-573
Aim To explore the efficacy of levosimendan on hypoxia pulmonary hypertension through animal experiments, and to further explore the potential mechanism of action using network pharmacological methods and molecular docking technique. Methods The rat model of hypoxia pulmonary hypertension was constructed to detect right heart systolic pressure and right heart remodeling index. HE , Masson, and VG staining were core targets were screened out. GO and KEGG pathway enrichment analysis were performed using the DAVID database. Molecular docking of the core targets was performed with the AutoDock software. Results The results of animal experiments showed that levosimendan had obvious therapeutic effect on hypoxia pulmonary hypertension. The network pharmacology results showed that SRC, HSP90AA1, MAPK1, PIK3R1, AKT1, HRAS, MAPK14, LCK, EGFR and ESR1 used to analyze the changes of rat lung histopathology. Search the Swiss Target Prediction, DrugBank Online, BatMan, Targetnet, SEA, and PharmMapper databases were used to screen for drug targets. Disease targets were retrieved from the GeneCards, OMIM databases. The "drug-target-disease" network was constructed after identification of the two intersection targets. The protein interaction network was constructed and the were the key targets to play a therapeutic role. Molecular docking showed good docking of levosimendan with all the top five core targets with degree values. Conclusions Levosimendan may exert a therapeutic effect on hypoxia-induced pulmonary hypertension through multiple targets.
5.Impact of inhaled corticosteroid use on elderly chronic pulmonary disease patients with community acquired pneumonia.
Xiudi HAN ; Hong WANG ; Liang CHEN ; Yimin WANG ; Hui LI ; Fei ZHOU ; Xiqian XING ; Chunxiao ZHANG ; Lijun SUO ; Jinxiang WANG ; Guohua YU ; Guangqiang WANG ; Xuexin YAO ; Hongxia YU ; Lei WANG ; Meng LIU ; Chunxue XUE ; Bo LIU ; Xiaoli ZHU ; Yanli LI ; Ying XIAO ; Xiaojing CUI ; Lijuan LI ; Xuedong LIU ; Bin CAO
Chinese Medical Journal 2024;137(2):241-243
6.Expert consensus on the biosafety recommendation for arthropods of medical importance in field and laboratory
HE Changhua ; LUO Huanle ; YIN Feifei ; HAN Qian ; LIANG Lei ; SHI Yongxia ; YU Xuedong ; SUN Yi ; LIU Qiyong ; WANG Huanyu ; WANG Rong ; SHAN Chao ; DENG Fei ; YUAN Zhiming ; XIA Han
China Tropical Medicine 2024;24(2):119-
The emerging and re-emerging arthropod-borne infectious diseases pose a serious threat to global public health security. Field and laboratory studies of arthropods of medical importance are essential and critical for the prevention and control of arthropod-borne infectious diseases. Various institutions or universities in China have been conducting research in the field or laboratory study of arthropods of medical importance, but up to 2023, it is still lacking detailed biosafety guidelines or recommendations that can guide the related work for arthropods of medical importance. In order to proactively address potential biosafety issues in the field or laboratory activities related to arthropods of medical importance, improve the standardization of arthropod biosafety classification, operations, and protection, and ensure the safety of practitioners, an expert consensus on the biosafety recommendation of arthropods of medical importance in field and laboratory has been developed, aiming to guide the future work of arthropods and ensure the national biosafety and biosecurity of China.
7.Correlation of CD200-CD200R axis and diseases and its research progress
Han XU ; Yu-xin BI ; Gui-xia LI ; Jian LI ; Liu-li WANG ; Rui-jia HAO ; Xue-min ZHENG ; Rui-jing HUANG ; Jin HAN ; Fei LI ; Gen-bei WANG
Acta Pharmaceutica Sinica 2024;59(4):822-830
CD200 and its receptor CD200R constitute an endogenous inhibitory signal. The binding of CD200 and CD200R can regulate the immune response to pathogenic stimuli, which has received much attention in recent years. It has been found that CD200-CD200R is involved in the regulation of many kinds of pathological inflammation, including autoimmune diseases, cardiac cerebrovascular disease, infection and tumor. This paper reviews the protein structure, distribution, expression, biological function of CD200-CD200R and the correlation with diseases, and analyses the current status and development ideas of CD200-CD200R as drug targets. It aims to provide theoretical support for new drug research and development based on this target.
8.Correlation between the progression of diabetic retinopathy and cytokines in aqueous humor
Fangfang REN ; Fei CHEN ; Qun FU ; Xiangdong ZHANG ; Gaiping WU ; Shaoqing YANG ; Yinghui SONG ; Yang LI ; Jingjing LAI ; Han YU
Recent Advances in Ophthalmology 2024;44(6):464-469
Objective To investigate the relationship between the therapeutic effect of anti-vascular endothelial growth factor(VEGF)and cytokines in aqueous humor in patients with diabetic retinopathy(DR).Methods From July 2023 to December 2023,50 DR patients(56 eyes)who were treated with anti-VEGF drugs in the Department of Ophthal-mology,the Third Affiliated Hospital of Xinxiang Medical University were included in this study.The patients were divided into the diabetic macular edema(DME)group(30 patients,36 eyes)and the proliferative DR(PDR)group(20 patients,20 eyes).Patients in the DME group received an intravitreal injection of aflibercept once a month for three consecutive times,with aqueous humor extracted before each injection.Patients in the PDR group received an intravitreal injection of aflibercept one week before vitrectomy,with aqueous humor extracted before injection and during vitrectomy,respective-ly.The concentrations of vascular endothelial growth factor A(VEGF-A),placental growth factor(PLGF),interleukin(IL)-1β,IL-23,IL-17A,and tumor necrosis factor-α(TNF-α)in the aqueous humor were detected using the Luminex as-say.Before injection therapy,all patients underwent best corrected visual acuity(BCVA)and central macular thickness(CMT)examinations,and their correlations with cytokine concentrations in DR patients before injection therapy were ana-lyzed.Results Compared to before injection therapy,the concentrations of VEGF-A,PLGF,and IL-23 in the aqueous humor of patients in the DME group decreased significantly after treatment(all P<0.05);additionally,the CMT de-creased,and the BCVA increased(both P<0.05).After injection therapy,the concentrations of VEGF,PLGF,IL-1β,IL-23,IL-17A,and TNF-α in the aqueous humor of patients in the PDR group significantly decreased compared to before injec-tion therapy(all P<0.05).Before injection therapy,the levels of VEGF-A,PLGF,and IL-23 in the aqueous humor of pa-tients in the DME group were higher than those in the PDR group,and the differences were statistically significant(all P<0.05).The correlation analysis results showed that before injection therapy,VEGF was negatively correlated with BCVA(r=-0.767,P=0.004)and was positively correlated with CMT(r=0.662,P=0.019)and IL-23(r=0.765,P=0.004)in the DME group.There was no correlation between the cytokines in the aqueous humor of patients in the PDR group be-fore injection therapy(all P>0.05).Conclusion Changes in the concentration of VEGF-A,PLGF,and IL-23 are closely related to the occurrence and development of DR.Anti-VEGF treatment can improve BCVA and decrease CMT in DME pa-tients.The expression level of IL-23 in aqueous humor can serve as a predictive factor for the anti-VEGF efficacy in DR pa-tients,providing new targets for early diagnosis and treatment of DR.
9.An advanced machine learning method for simultaneous breast cancer risk prediction and risk ranking in Chinese population: A prospective cohort and modeling study
Liyuan LIU ; Yong HE ; Chunyu KAO ; Yeye FAN ; Fu YANG ; Fei WANG ; Lixiang YU ; Fei ZHOU ; Yujuan XIANG ; Shuya HUANG ; Chao ZHENG ; Han CAI ; Heling BAO ; Liwen FANG ; Linhong WANG ; Zengjing CHEN ; Zhigang YU
Chinese Medical Journal 2024;137(17):2084-2091
Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.
10.Bibliometric Analysis of Forensic Human Remains Identification Literature from 1991 to 2022
Ji-Wei MA ; Ping HUANG ; Ji ZHANG ; Hai-Xing YU ; Yong-Jie CAO ; Xiao-Tong YANG ; Jian XIONG ; Huai-Han ZHANG ; Yong CANG ; Ge-Fei SHI ; Li-Qin CHEN
Journal of Forensic Medicine 2024;40(3):245-253
Objective To describe the current state of research and future research hotspots through a metrological analysis of the literature in the field of forensic anthropological remains identification re-search.Methods The data retrieved and extracted from the Web of Science Core Collection (WoSCC),the core database of the Web of Science information service platform (hereinafter referred to as "WoS"),was used to analyze the trends and topic changes in research on forensic identification of human re-mains from 1991 to 2022.Network visualisation of publication trends,countries (regions),institutions,authors and topics related to the identification of remains in forensic anthropology was analysed using python 3.9.2 and Gephi 0.10.Results A total of 873 papers written in English in the field of forensic anthropological remains identification research were obtained.The journal with the largest number of publications was Forensic Science International (164 articles).The country (region) with the largest number of published papers was China (90 articles).Katholieke Univ Leuven (Netherlands,21 articles) was the institution with the largest number of publications.Topic analysis revealed that the focus of forensic anthropological remains identification research was sex estimation and age estimation,and the most commonly studied remains were teeth.Conclusion The volume of publications in the field of forensic anthropological remains identification research has a distinct phasing.However,the scope of both international and domestic collaborations remains limited.Traditionally,human remains identifica-tion has primarily relied on key areas such as the pelvis,skull,and teeth.Looking ahead,future re-search will likely focus on the more accurate and efficient identification of multiple skeletal remains through the use of machine learning and deep learning techniques.

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