1.Study on The Toxicity of Strychnos nux-vomica L. in vivo in Rats:Application of Bagging Algorithm and 16S rRNA Gene Sequencing Technology in Toxicology Research
Xi-Ye WANG ; Le-Er BAO ; Ming-Yang JIANG ; Dan LI ; Mei-Rong BAI
Progress in Biochemistry and Biophysics 2024;51(2):404-422
ObjectiveThe traditional Chinese medicine Strychnos nux-vomica L. (SN) has the clinical effect of reducing swelling and relieving pain; however, SN is toxic due to its alkaloid components. Little is known about the endogenous metabolic changes induced by SN toxicity in rats and their potential effects on the metabolic dysregulation of intestinal microbiota. Therefore, toxicological investigation of SN is of great significance to its safety assessment. In this study, the toxic mechanisms of SN were explored using a combination of metabonomics and 16S rRNA gene sequencing. MethodsThe toxic dose, intensity, and target organ of SN were determined in rats using acute, cumulative, and subacute toxicity tests. UHPLC-MS was used to analyze the serum, liver, and renal samples of rats after intragastric SN administration. The decision tree and K Nearest Neighbor (KNN) model were established based on the bootstrap aggregation (bagging) algorithm to classify the omics data. After samples were extracted from rat feces, the high-throughput sequencing platform was used to analyze the 16S rRNA V3-V4 region of bacteria. ResultsThe bagging algorithm improved the accuracy of sample classification. Twelve biomarkers were identified, where their metabolic dysregulation may be responsible for SN toxicity in vivo. Several types of bacteria such as Bacteroidetes, Anaerostipes, Oscillospira and Bilophila, were demonstrated to be closely related to physiological indices of renal and liver function, indicating that SN-induced liver and kidney damage may be related to the disturbance of these intestinal bacteria. ConclusionThe toxicity mechanism of SN was revealed in vivo, which provides a scientific basis for the safe and rational clinical use of SN.
2.The importance and updated key point of ethical review in health management research:based on the Measures of Ethical Review of Life Sciences and Medical Research Involving Humans
Xi WANG ; Wuqi QIU ; Rong TIAN ; Yanling LI ; Hang XU ; Xiaomeng LI ; Hongyan SUN
Chinese Medical Ethics 2024;37(4):415-419
The release of the Measures of Ethical Review of Life Sciences and Medical Research Involving Humans has brought new requirements to the field of ethical review in health management research.Based on the background of new regulations and combining the characteristics of the health management discipline,this paper explored the needs and necessity of ethical review in health management research.In the Measures,the ethical governance of health management research was updated,the concept of exemption from the ethical review was put forward,as well as the importance of protecting the rights and interests of research participants and the protection of personal information were emphasized.This paper also explored the ethical review framework for health management research,including the formulation of operational standards for exemption from ethical review,the refinement of standardized ethical review work systems and processes,and the clarification of information data source verification.These explorations aimed to provide an ethical guarantee for health management research,promote its healthy development,and ensure that the rights and interests of research participants are fully respected and protected.Through research,it is hoped that the ethical level of health management research can be further improved,promoting the development of the discipline and social progress.
3.Young Female, Fatigue, Hypokalemia, Hyperglycemia
Rong CHEN ; Xi WANG ; An SONG ; Jiajia WANG ; Wei LI ; Shi CHEN ; Xiaoping XING
Medical Journal of Peking Union Medical College Hospital 2024;15(2):456-461
We report a case of a young female patient with fatigue, hypokalemia, and hyperglycemia. She had past-history of diabetes mellitus, and was admitted to hospital with a history of fatigue and hypokalemia for 5 years. The patient's examination indicated hypokalemia, hypomagnesemia, metabolic alkalosis, hypocalciuria, and SLC12A3 gene pathogenic mutation. The diagnosis was Gitelman syndrome. Potassium and magnesium supplements were given to improve the patient's fatigue. Serum potassium and magnesium were normal. The blood glucose reached standard after treatment with oral hypoglycemic drugs. This article incorporates literature review to sort out the diagnosis and treatment of Gitelman syndrome, in order to provide feasible reference for clinicians.
4.Hepatitis C virus infection:surveillance report from China Healthcare-as-sociated Infection Surveillance System in 2020
Xi-Mao WEN ; Nan REN ; Fu-Qin LI ; Rong ZHAN ; Xu FANG ; Qing-Lan MENG ; Huai YANG ; Wei-Guang LI ; Ding LIU ; Feng-Ling GUO ; Shu-Ming XIANYU ; Xiao-Quan LAI ; Chong-Jie PANG ; Xun HUANG ; An-Hua WU
Chinese Journal of Infection Control 2024;23(1):1-8
Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93%and a HCV positive rate of 0.54%.The positive rate of HCV in male and female patients were 0.60%and 0.48%,respectively,with a statistically sig-nificant difference(x2=47.18,P<0.001).The HCV positive rate in the 50-<60 age group was the highest(0.76%),followed by the 40-<50 age group(0.71%).Difference among all age groups was statistically signifi-cant(x2=696.74,P<0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57%;775 patients were infected with HCV,with a positive rate of 2.21%.In 2020,HCV positive rates in hospitals of different scales were 0.46%-0.63%,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P<0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19%-0.81%,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06%-0.82%,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95%and 3.48%,respectively.Followed by departments of orthopedics(7.72%),gastroenterology(3.77%),nephrology(3.57%)and general intensive care unit(ICU,3.10%)in 2003,as well as departments of gastroenterology(1.35%),nephrology(1.18%),endocrinology(0.91%),and general intensive care unit(ICU,0.79%)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.
5.A multicenter retrospective cohort study on the attributable risk of patients with Acinetobacter baumannii sterile body fluid infection
Lei HE ; Dao-Bin JIANG ; Ding LIU ; Xiao-Fang ZHENG ; He-Yu QIU ; Shu-Mei WU ; Xiao-Ying WU ; Jin-Lan CUI ; Shou-Jia XIE ; Qin XIA ; Li HE ; Xi-Zhao LIU ; Chang-Hui SHU ; Rong-Qin LI ; Hong-Ying TAO ; Ze-Fen CHEN
Chinese Journal of Infection Control 2024;23(1):42-48
Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3%,and that of non-infected group was 23.1%,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2%(95%CI:-2.3%-22.8%).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P>0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P>0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.
6.Machine learning-based quantitative prediction of drug drug interaction using drug label information
Lu-Hua LIANG ; Yu-Xi XU ; Bei QI ; Lu-Yao WANG ; Chang LI ; Rong-Wu XIANG
The Chinese Journal of Clinical Pharmacology 2024;40(16):2396-2400
Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25%;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.
7.Prevalence of dentinal hypersensitivity and related factors in Chinese urban adults
Zhaoyou WANG ; Wensheng RONG ; Yisi ZHONG ; Jiangang TIAN ; Xi CHEN ; Mei ZHAO ; Lihua CUI ; Minquan DU ; Jianbo LI ; Deyu HU
Chinese Journal of Stomatology 2024;59(9):927-934
Objective:To assess the prevalence of dentinal hypersensitivity (DH) and related factors in urban adults in China.Methods:The study was designed as an observational, cross-sectional epidemiological study carried out in adults aged 18-69 years old in seven cities (Beijing, Shanghai, Wuhan, Chengdu, Xi′an, Guangzhou, and Harbin) of China. The study was conducted from March 2021 to May 2023. Patients were required to complete a questionnaire regarding the subjects′ socio-economic factors, dietary behavior, oral health behavior and personal antecedent factors. DH was clinically diagnosed by judging whether the tooth cold air stimulation provoked DH or not, and recorded by investigator pain rating Schiff score. Compare the findings of six cities (Harbin excluded) with a similar study conducted in 2008.Results:In total, 11 622 subjects from seven cities in China participated the study. Fifty two point two percent (6 072/11 622) of subjects reported DH in questionnaire, 36.7% (4 266/11 622) of subjects reported experiencing DH in response to cold air stimulation for at least one study tooth. Risk factors including age, sex, city, toothbrush method and acid reflux showed marked associations with DH ( P<0.05). The prevalence of DH of urban residents in six cities (Harbin excluded) was 33.7% (3 335/9 882), higher than that in 2008 [29.7%(2 354/7 939)]. Conclusions:Overall, DH was common among urban adults in China and the prevalence increased in recent years. Better understanding of DH and its associated factors should be considered in its prevention and management by dental professionals.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.Clinical effects of comprehensive treatment regimen of traditional Chinese medicine on patients with refractory rhinosinusitis
Qun-Zhen LI ; Jun LI ; Zhong-Yi MIAO ; Shao-Xi FAN ; Ru YAN ; Feng-Mei MA ; Ting RONG
Chinese Traditional Patent Medicine 2024;46(11):3645-3650
AIM To explore the clinical effects of comprehensive treatment regimen of traditional Chinese medicine on patients with refractory rhinosinusitis.METHODS One hundred and sixty-four patients were randomly assigned into control group(82 cases)for 3-month intervention of comprehensive treatment regimen of western medicine(Physiological Seawater Nasal Spray,Budesonide Nasal Spray,Clarithromycin Tablets),and observation group(82 cases)for 3-month intervention of comprehensive treatment regimen of traditional Chinese medicine(Xinzhi Tongqiao Granules,Xinbai Nasal Fumigation Powder,acupuncture of sphenopalatine ganglion).The changes in clinical effects,subjective disease indices(clinical symptom scores,SNOT-20 score,Lung Meridian Heat Accumulation Syndrome score),objective disease indices(Lund-Kennedy score,T&T olfactory score,MTT,MTR),inflammatory indices(LTC4,IL-17a,IL-33,ECP),immune indices(CD4+,CD8+,Treg,Th17,CD4+/CD8+,Th17/Treg)and safety indices were detected.RESULTS The observation group demonstrated higher total control rate than the control group(P<0.05).After the treatment and at 3-month follow-up,the two groups displayed decreased clinical symptom scores,inflammatory indices,CD8+,Th17,Th17/Treg,SNOT-20 score,Lung Meridian Heat Accumulation Syndrome score,Lund-Kennedy score,T&T olfactory score(P<0.05),increased CD4+,Treg,CD4+/CD8+,MTR(P<0.05),and shortened MTT(P<0.05),especially for the observation group(P<0.05).No obvious adverse reactions were observable in the two groups.CONCLUSION For the patients with refractory rhinosinusitis,the comprehensive treatment regimen of traditional Chinese medicine can safely and effectively improve inflammatory responses,immune functions and mucociliary motor functions,repair the status and functions of nasal mucosa,alleviate subjective and objective symptoms,and enhance life quality.
10.Ceria nanoparticles:biomedical applications and toxicity
FU XIAOXUAN ; LI PENG ; CHEN XI ; MA YUANYUAN ; WANG RONG ; JI WENXUAN ; GU JIAKUO ; SHENG BOWEN ; WANG YIZHOU ; ZHANG ZHUHONG
Journal of Zhejiang University. Science. B 2024;25(5):361-388
Ceria nanoparticles(CeO2 NPs)have become popular materials in biomedical and industrial fields due to theirpotential applications in anti-oxidation,cancer therapy,photocatalytic degradation of pollutants,sensors,etc.Many methods,including gas phase,solid phase,liquid phase,and the newly proposed green synthesis method,have been reported for the synthesis of CeO2 NPs.Due to the wide application of CeO2 NPs,concerns about their adverse impacts on human health have been raised.This review covers recent studies on the biomedical applications of CeO2 NPs,including their use in the treatment of various diseases(e.g.,Alzheimer's disease,ischemic stroke,retinal damage,chronic inflammation,and cancer).CeO2 NP toxicity is discussed in terms of the different systems of the human body(e.g.,cytotoxicity,genotoxicity,respiratory toxicity,neurotoxicity,and hepatotoxicity).This comprehensive review covers both fundamental discoveries and exploratory progress in CeO2 NP research that may lead to practical developments in the future.

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