1.Analysis of red blood cell transfusion reactions in China from 2018 to 2023
Bo PAN ; Xiaoyu GUAN ; Jue WANG ; Yunlong PAN ; Liu HE ; Haixia XU ; Xin JI ; Li TIAN ; Ling LI ; Zhong LIU
Chinese Journal of Blood Transfusion 2025;38(5):704-710
Objective: To analyze the demographic characteristics of patients with red blood cell transfusion reactions, the usage of red blood cell preparations, and the differences in the composition ratio of adverse reactions based on multi-center data from the Haemovigilance Network, in order to reveal the clinical characteristics of red blood cell transfusion and its underlying issues. Methods: Clinical data of patients who experienced transfusion reactions after red blood cell transfusion in the Haemovigilance Network from 2018 to 2023 were collected. The demographic characteristics of patients who experienced transfusion reactions with different types of red blood cell preparations, the utilization of these preparations, and the differences of the composition ratios of transfusion reactions were analyzed. Count data were expressed as numbers (n) or percentages (%), and comparisons between groups were performed using the Chi-square test. Results: Red blood cell transfusion reactions were more common in females (53.56%), with the majority of patients aged 50-69 years (35.54%). The Han polulation accounted for the vast majority of patients (92.77%), and patients in the hematology and obstetrics/gynecology departments had a relatively high proportion of transfusion reactions (13.26% and 14.26%, respectively). Leukocyte-reduced red blood cells and suspended red blood cells were the most common types of transfusion reactions reported among red blood cell preparations. Allergic reactions and non-hemolytic febrile reactions were the most common transfusion reactions, and there were significant differences in the composition ratios of allergic reactions (χ
=869.89, P<0.05) and non-hemolytic febrile reactions (χ
=812.75, P<0.05) across various types of red blood cell preparations. Conclusion: There are differences in the demographic characteristics and composition ratio of transfusion reactions among different red blood cell preparations. The management of red blood cell transfusion reactions should be tailored to patient characteristics and conditions, and the selection and use of blood products should be optimized to reduce or avoid the occurrence of transfusion reactions, such as considering the use of washed red blood cells for patients with a history of transfusion allergies or those prone to allergies.
2.Preliminary exploration of the pharmacological effects and mechanisms of icaritin in regulating macrophage polarization for the treatment of intrahepatic cholangiocarcinoma
Jing-wen WANG ; Zhen LI ; Xiu-qin HUANG ; Zi-jing XU ; Jia-hao GENG ; Yan-yu XU ; Tian-yi LIANG ; Xiao-yan ZHAN ; Li-ping KANG ; Jia-bo WANG ; Xin-hua SONG
Acta Pharmaceutica Sinica 2024;59(8):2227-2236
The incidence of intrahepatic cholangiocarcinoma (ICC) continues to rise, and there are no effective drugs to treat it. The immune microenvironment plays an important role in the development of ICC and is currently a research hotspot. Icaritin (ICA) is an innovative traditional Chinese medicine for the treatment of advanced hepatocellular carcinoma. It is considered to have potential immunoregulatory and anti-tumor effects, which is potentially consistent with the understanding of "Fuzheng" in the treatment of tumor in traditional Chinese medicine. However, whether ICA can be used to treat ICC has not been reported. Therefore, in this study, sgp19/kRas, an
3.Predictive Modeling of Chronic Kidney Disease with Hypertension or Diabetes Based on Machine Learning Algorithms
Huijuan ZENG ; Bo TIAN ; Hongling YUAN ; Jie HE ; Guanxi LI ; Guojia RU ; Min XU ; Dong ZHAN
Journal of Kunming Medical University 2024;45(3):99-105
Objective To build the early predictive model for chronic kidney disease(CKD)in hypertension and diabetes patients in the community.Methods The CKD patients were recruited from 4 health care centers in 4 urban areas in Kunming.The control group was residents without hypertension and diabetes(n = 1267).The disease group was residents with hypertension and/or diabetes(n = 566).The questionnaire survey,physical examination,laboratory testing,and 5 SNPs gene types in the PVT1 gene.The risk factors,which were filtered with logistics regression,were used to build predictive models.Four machine learning algorithms were built:support vector machine(SVM),random forest(RF),Na?ve Bayes(NB),and artificial neural network(ANN)models.Results Thirteen indicators included in the final diagnostic model:age,disease type,ethnicity,blood urea nitrogen,creatinine,eGFR from MDRD,ACR,eGFR from EPI2009,PAM13 score,sleep quality survey,staying-up late,PVT1 SNP rs11993333 and rs2720659.The accuracy,specificity,Kappa value,AUC of ROC,and PRC of ANN are greater than those of the other 3 models.The sensitivity of RF is the highest among 4 types of machine learning.Conclusions The ANN predictive model has a good ability of efficiency and classification to predict CKD with hypertension and/or diabetes patients in the community.
4.Study of CT angiography and clinical features of Takayasu's arteritis with peripheral artery involvement
Yanmeng DENG ; Jian CHEN ; Minwen ZHENG ; Guoqing LIU ; Bo HU ; Ge LIU ; Ping TIAN ; Jinman ZHONG ; Ting LI
Journal of Practical Radiology 2024;40(1):46-50
Objective To explore the computed tomography angiography(CTA)and clinical features of Takayasu's arteritis(TA)with peripheral artery involvement.Methods In this retrospective study,CTA scan was performed in a total of 184 TA patients.TA patients were divided into two groups:60 patients within peripheral artery involvement(peripheral artery involvement group)and 124 patients without peripheral artery involvement(peripheral artery non-involvement group).The difference in comparison of clini-cal data and CTA findings were analyzed.Results A total of 194 peripheral arteries were involved in 60 patients.The most suscep-tible peripheral artery were axillary artery(52,26.8%),middle cerebral artery(26,13.4%)and femoral artery(22,11.3%).In the peripheral artery involvement group,the most common CTA manifestation was luminal stenosis(141,72.7%).The lumen dilata-tion,lumen stenosis with dilatation and wall calcification were not easy to be observed.The age and duration of disease in peripheral artery involvement group were significantly greater than those in peripheral artery non-involvement group(P<0.05).The proportion of the peripheral artery involvement group in the active phase was significantly lower than that of the peripheral artery non-involvement group(P<0.05).The incidence of pain in the limbs in peripheral artery involvement group was significantly higher than that in peripheral artery non-involvement group(P<0.05).The utilization rate of tocilizumab in the peripheral artery involvement group was significantly higher than that in the peripheral artery non-involvement group(P<0.05).Conclusion TA involving peripheral arteries is more common in patients with a long course of disease and in the inactive phase.Patients are prone to pain in their limbs.The CT A manifestations of these patients are also special,that is,the involved peripheral arteries are not prone to lumen dilatation and wall calcification.
5.Icariin plus curcumol enhances autophagy through the mTOR pathway and promotes cathepsin B-mediated pyroptosis of prostate cancer cells
Xu-Yun Wang ; Wen-Jing Xu ; Bo-Nan Li ; Tian-Song Sun ; Wen Sheng
Asian Pacific Journal of Tropical Biomedicine 2024;14(2):55-64
Objective: To examine the effect of icariin plus curcumol on prostate cancer cells PC3 and elucidate the underlying mechanisms. Methods: We employed the Cell Counting Kit 8 assay and colony formation assay to assess cell viability and proliferation. Autophagy expression was analyzed using monodansylcadaverine staining. Immunofluorescence and Western blot analyses were used to evaluate protein expressions related to autophagy, pyroptosis, and the mTOR pathway. Cellular damage was examined using the lactate dehydrogenase assay. Moreover, cathepsin B and NLRP3 were detected by co-immunoprecipitation. Results: Icariin plus curcumol led to a decrease in PC3 cell proliferation and an enhancement of autophagy. The levels of LC3- Ⅱ/LC3-Ⅰ and beclin-1 were increased, while the levels of p62 and mTOR were decreased after treatment with icariin plus curcumol. These changes were reversed upon overexpression of mTOR. Furthermore, 3-methyladenine resulted in a decrease in inflammatory cytokines, pyroptosis-related protein levels, and lactate dehydrogenase concentration, compared to the icariin plus curcumol group. Inhibiting cathepsin B reversed the regulatory effects of icariin plus curcumol. Conclusions: Icariin plus curcumol demonstrates great potential as a therapeutic agent for castration-resistant prostate cancer by enhancing autophagy via the mTOR pathway and promoting pyroptosis mediated by cathepsin B. These findings provide valuable insights into the molecular mechanisms underlying the therapeutic potential of icariin and curcumol for prostate cancer treatment.
6.Role of MAPK Signaling Pathway in Prevention and Treatment of Rheumatoid Arthritis and Chinese Medicine Intervention: A Review
Huiming LI ; Shuangjuan BO ; Tao XING ; Guojun WEI ; Zhiyong WANG ; Xuemei TIAN ; Shenghua LI ; Tao LIU ; Yuguang LI ; Xiaotao WEI
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(14):288-298
Rheumatoid arthritis (RA) is an autoimmune disease involving symmetrical small joints, with clinical manifestations such as small joint swelling, morning stiffness, progressive pain, and even joint deformity and loss of function. Due to the complex immune mechanism, the pathogenesis of RA remains unclear. However, studies have shown that the pathogenesis of RA is related to abnormal immune mechanism, increased synovial inflammatory response, abnormal biological behavior of RA fibroblast-like synoviocytes (RA-FLSs), and abnormal degradation of extracellular matrix. Mitogen-activated protein kinase (MAPK) plays a key role in the regulation of cell growth, proliferation, differentiation, and apoptosis. It is involved in the abnormal release and activation of inflammatory mediators in RA, the abnormal proliferation, migration, and invasion of RA-FLSs, synovial angiogenesis, bone erosion, and cartilage destruction. The thousands of years of practical experience show that Chinese medicine can effectively mitigate the clinical symptoms such as joint swelling, morning stiffness, and pain and delay the occurrence of joint deformity in RA patients. Moreover, the Chinese medicine treatment has the advantages of overall regulation, personalized treatment, multiple pathways and targets, high safety, few adverse reactions, and stable quality. Modern studies have confirmed that Chinese medicine can play a role in the prevention and treatment of RA by interfering in the MAPK signaling pathway, reducing pro-inflammatory cytokines, inhibiting the abnormal proliferation, migration, and invasion of RA-FLSs, regulating the apoptosis of RA-FLSs, and protecting extracellular matrix. This article elaborates on the key role of MAPK signaling pathway in the development of RA and reviews the latest research results of Chinese medicine intervention in MAPK signaling pathway for the prevention and treatment RA, aiming to provide a basis for the development of new drugs and the clinical application of Chinese medicine in the prevention and treatment of RA.
7.Molecular mechanism of PANoptosis in diagnostic markers and subtyping of osteoporosis
Qiang DING ; Bo XIONG ; Jinfu LIU ; Zhao TIAN ; Xiangbin RONG ; Limin CHEN ; Hongcheng TAO ; Hao LI ; Ping ZENG
Chinese Journal of Tissue Engineering Research 2024;28(28):4505-4510
BACKGROUND:It has been hypothesized that PANoptosis may be involved in the pathologic process of osteoporosis,but there have been no studies addressing the mechanisms of PANoptosis genes in osteoporosis. OBJECTIVE:To analyze the biological mechanism of PANoptosis regulators in the occurrence and development of osteoporosis. METHODS:The GSE56815 dataset was obtained from the Gene Expression Omnibus database and PANoptosis genes were extracted for differential analysis.The key genes of PANoptosis were screened by random forest tree model to construct a disease risk prediction model.Consensus clustering algorithm,single sample genome enrichment analysis and immune infiltration analysis were used to explore the differences between different PANoptosis molecular subtypes.Herbal drugs that regulate the key genes of PANoptosis were predicted through Coremine medical database,a medical ontology information retrieval platform. RESULTS AND CONCLUSION:Based on the four PANoptosis key genes(CASP1,CASP10,MEFV,and TNF),the diagnostic markers of osteoporosis were determined,and the risk prediction model was constructed and verified.Osteoporosis was divided into two different PANoptosis subtypes(clusters A,B and gene clusters A,B),and the PANoptosis scores of cluster B and gene cluster B were higher than those of cluster A and gene cluster A,respectively.Traditional Chinese drugs such as ginseng which can regulate the key genes of PANoptosis were predicted by the Coremine medical database.
8.Longitudinal extrauterine growth restriction in extremely preterm infants: current status and prediction model
Xiaofang HUANG ; Qi FENG ; Shuaijun LI ; Xiuying TIAN ; Yong JI ; Ying ZHOU ; Bo TIAN ; Yuemei LI ; Wei GUO ; Shufen ZHAI ; Haiying HE ; Xia LIU ; Rongxiu ZHENG ; Shasha FAN ; Li MA ; Hongyun WANG ; Xiaoying WANG ; Shanyamei HUANG ; Jinyu LI ; Hua XIE ; Xiaoxiang LI ; Pingping ZHANG ; Hua MEI ; Yanju HU ; Ming YANG ; Lu CHEN ; Yajing LI ; Xiaohong GU ; Shengshun QUE ; Xiaoxian YAN ; Haijuan WANG ; Lixia SUN ; Liang ZHANG ; Jiuye GUO
Chinese Journal of Neonatology 2024;39(3):136-144
Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.
9.National bloodstream infection bacterial resistance surveillance report (2022) : Gram-negative bacteria
Zhiying LIU ; Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(1):42-57
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period,9 035 strains of Gram-negative bacteria were collected from 51 hospitals,of which 7 895(87.4%)were Enterobacteriaceae and 1 140(12.6%)were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli( n=4 510,49.9%), Klebsiella pneumoniae( n=2 340,25.9%), Pseudomonas aeruginosa( n=534,5.9%), Acinetobacter baumannii complex( n=405,4.5%)and Enterobacter cloacae( n=327,3.6%). The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus spp. were 47.1%(2 095/4 452),21.0%(427/2 033)and 41.1%(58/141),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(58/4 510)and 13.1%(307/2 340);62.1%(36/58)and 9.8%(30/307)of CREC and CRKP were resistant to ceftazidime/avibactam combination,respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 59.5%(241/405),while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 18.4%(98/534). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions,with statistically significant differences in the prevalence of CRKP and CRPA( χ2=20.489 and 20.252, P<0.001). The prevalence of CREC,CRKP,CRPA,CRAB,ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals( χ2=11.953,81.183,10.404,5.915,12.415 and 6.459, P<0.01 or <0.05),while the prevalence of CRPA was higher in economically developed regions(per capita GDP ≥ 92 059 Yuan)than that in economically less-developed regions(per capita GDP <92 059 Yuan)( χ2=6.240, P=0.012). Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend,and Escherichia coli is ranked in the top,while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different,and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.
10.Expert consensus on clinical application of 177Lu-prostate specific membrane antigen radio-ligand therapy in prostate cancer
Guobing LIU ; Weihai ZHUO ; Yushen GU ; Zhi YANG ; Yue CHEN ; Wei FAN ; Jianming GUO ; Jian TAN ; Xiaohua ZHU ; Li HUO ; Xiaoli LAN ; Biao LI ; Weibing MIAO ; Shaoli SONG ; Hao XU ; Rong TIAN ; Quanyong LUO ; Feng WANG ; Xuemei WANG ; Aimin YANG ; Dong DAI ; Zhiyong DENG ; Jinhua ZHAO ; Xiaoliang CHEN ; Yan FAN ; Zairong GAO ; Xingmin HAN ; Ningyi JIANG ; Anren KUANG ; Yansong LIN ; Fugeng LIU ; Cen LOU ; Xinhui SU ; Lijun TANG ; Hui WANG ; Xinlu WANG ; Fuzhou YANG ; Hui YANG ; Xinming ZHAO ; Bo YANG ; Xiaodong HUANG ; Jiliang CHEN ; Sijin LI ; Jing WANG ; Yaming LI ; Hongcheng SHI
Chinese Journal of Clinical Medicine 2024;31(5):844-850,封3
177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

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