1.Clinical Value of CD44 mRNA and CD24 mRNA and Protein Expression Levels in Placental Tissue of Patients with Severe Preeclampsia
Lingling TENG ; Guangzhen MA ; Ke SHI ; Yingxin LÜ ; Jing XU
Journal of Modern Laboratory Medicine 2024;39(1):43-48
Objective To explore clinical value of the expression levels of cell surface transmembrane glycoprotein molecule 44(CD44)mRNA,cell surface transmembrane glycoprotein molecule 24(CD24)mRNA,and protein in the placenta of severe preeclampsia(SPE)patients.Methods The SPE patients who were delivered by cesarean section in the Second People's Hospital of Liaocheng from June 2019 to June 2022 were further divided into 45 patients in early onset SPE group(gestational age≤34 weeks)and 55 patients in late onset SPE group(gestational age>34 weeks)according to the different gestational age.The control group consisted of 100 normal cases in the same period.The expression of CD44 and CD24 in placenta of SPE patients was detected by fluorescent quantitative PCR and immunohistochemistry,Pearson method was used to analyze the difference of their expression levels and their correlation with the clinical characteristics of SPE disease,and multivariate logistic regression was used to analyze the influencing factors of SPE.Results Compared with the control group,the expression levels of CD44 mRNA(0.55±0.12 vs 1.02±0.33)and CD24 mRNA(0.68±0.19 vs 1.05±0.11)in SPE placental tissues decreased significantly,the differences were statistically significant(t=13.385,16.853,P<0.05).The immunohistochemical staining results showed that CD44 and CD24 were mostly negative or weakly positive in the SPE group placental tissue,while they were mostly positive in the control group,the positive rates of CD44 and CD24 in the SPE placental tissue were lower than those in the control group,and the differences were statistically significant(χ2=9.696,14.346,P<0.05).Compared to the early onset SPE group,the expression levels of CD44(0.65±0.17 vs 0.42±0.11)and CD24(0.77±0.23 vs 0.58±0.13)mRNA in placental tissue of late onset SPE were higher,and the differences were statistically significant(t=7.830,4.932,P<0.05).Compared with the control group,the BMI,systolic blood pressure,diastolic blood pressure,urinary protein,Cr,LDH and BUN were significantly increased in SPE group(t=5.360~30.241,all P<0.05).In SPE group,the gestational age was earlier,the MPV and ALB were lower,the newborn's birth length was shorter,and the body weight than control group,the differences were statistically great(t=3.232~11.109,all P<0.05).The expression of CD44 and CD24 in SPE placenta was positively correlated(r=0.698,P<0.05),the expression of CD44 in SPE placenta was positively correlated with CD24,gestational week of delivery,MPV and neonatal birth length(r=0.611,0.639,0.612,0.465,all P<0.05),and was negatively correlated with systolic blood pressure,urinary protein and LDH(r=-0.604,-0.569,-0.593,all P<0.05).The expression of CD24 was positively correlated with gestational age,MPV and newborn birth length(r=0.605,0.584,0.640,all P<0.05),and was negatively correlated with systolic blood pressure,urinary protein and LDH(r=-0.637,-0.593,-0.561,all P<0.05).The results of logistic regression analysis showed that MPV(95%CI:1.429~4.350),urinary protein(95%CI:1.529~2.709),and LDH(95%CI:1.425~3.932)were all independent risk factors for SPE(all P<0.05).High levels of CD44(95%CI:0.561~0.940)and CD24(95%CI:0.495~0.814)were independent protective factors for SPE(P<0.05).Conclusion The low expression levels of CD44 and CD24 in placenta of SPE patients are independent protective factors of SPE,which can provide direction for the follow-up treatment of SPE.
2.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
3.Mechanism of rhein inhibition of colorectal cancer through arginine metabolism based on protein chip
Zhi-hua WANG ; Wen-chang ZHANG ; Jie-yi HUANG ; Jian-chi LUN ; Yi-qing DING ; Wei-jie LÜ ; Xiao-long XU ; Shi-ning GUO
Acta Pharmaceutica Sinica 2022;57(8):2378-2387
Rhein is an anthraquinone compound extracted from rhubarb, aloe vera, Polygonum multiflorum. In this study, we screened the potential targets of rhein through protein chip technology and investigated the underlying mechanism of its inhibition of colorectal cancer. Colony formation assay and scratch assay were used to examine the effect of rhein on the proliferation and migration abilities of HCT116 cell; KEGG and protein interaction analyses of rhein specific binding proteins by screening rhein binding proteins using protein chip; qRT-PCR and Western blot assays were used to determine the effect of rhein on the expression levels of BCL-2-associated X protein (BAX), B-cell lymphoma-2 (BCL-2) and argininosuccinate synthetase 1 (ASS1) in HCT116 cell. The antitumor effect of rhein was verified by azoxymethane combined with dextran sodium sulfate (AOM/DSS) induced colorectal cancer model. Experimental animal procedures were performed in accordance with animal welfare and the standards of the Laboratory Animal Ethics Committee of South China Agricultural University, with approval from the ethics committee.
4.Analysis of the new WHO guideline to accelerate the progress towards elimination of schistosomiasis in China.
Zhao Yu GUO ; Jia Xin FENG ; Li Juan ZHANG ; Yi Biao ZHOU ; Jie ZHOU ; Kun YANG ; Yang LIU ; Dan Dan LIN ; Jian Bing LIU ; Yi DONG ; Tian Ping WANG ; Li Yong WEN ; Min Jun JI ; Zhong Dao WU ; Qing Wu JIANG ; Song LIANG ; Jia Gang GUO ; Chun Li CAO ; Jing XU ; Shan LÜ ; Shi Zhu LI ; Xiao Nong ZHOU
Chinese Journal of Schistosomiasis Control 2022;34(3):217-222
On February 2022, WHO released the evidence-based guideline on control and elimination of human schistosomiasis, with aims to guide the elimination of schistosomiasis as a public health problem in disease-endemic countries by 2030 and promote the interruption of schistosomiasis transmission across the world. Based on the One Health concept, six evidence-based recommendations were proposed in this guideline. This article aims to analyze the feasibility of key aspects of this guideline in Chinese national schistosomiasis control program and illustrate the significance to guide the future actions for Chinese national schistosomiasis control program. Currently, the One Health concept has been embodied in the Chinese national schistosomiasis control program. Based on this new WHO guideline, the following recommendations are proposed for the national schistosomiasis control program of China: (1) improving the systematic framework building, facilitating the agreement of the cross-sectoral consensus, and building a high-level leadership group; (2) optimizing the current human and livestock treatments in the national schistosomiasis control program of China; (3) developing highly sensitive and specific diagnostics and the framework for verifying elimination of schistosomiasis; (4) accelerating the progress towards elimination of schistosomiasis and other parasitic diseases through integrating the national control programs for other parasitic diseases.
China/epidemiology*
;
Disease Eradication
;
Humans
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Public Health
;
Schistosomiasis/prevention & control*
;
World Health Organization
5.Sharing the WHO guideline on control and elimination of human schistosomiasis to achieve the goal of schistosomiasis elimination in China.
Tian Ping WANG ; Shan LÜ ; Zhi Qiang QIN ; Yi Biao ZHOU ; Yang LIU ; Li Yong WEN ; Jia Gang GUO ; Jing XU ; Shi Zhu LI ; Guang Ming ZHANG ; Shi Qing ZHANG
Chinese Journal of Schistosomiasis Control 2022;34(3):235-240
Currently, the national schistosomiasis control program of China is moving from transmission interruption to elimination, and there are multiple challenges during the stage moving towards the progression of schistosomiasis elimination, including a high difficulty in shrinking snail-infested areas, unstable achievements for infectious source control, imperfect surveillance system and a reduction in schistosomiasis control and administration. Based on the core suggestions proposed in the 2022 WHO guideline on control and elimination of human schistosomiasis, recommendations on schistosomiasis surveillance system building, development of novel diagnostics, adjustment of the schistosomiasis control strategy and maintaining and improvements of the schistosomiasis control capability are proposed for the national schistosomiasis control program of China in the new era according to the actual status of schistosomiasis control in China. Formulation of the national schistosomiasis control strategy and goal from One Health perspective, verification of transmission interruption and elimination of schistosomiasis, precision implementation of schistosomiasis control interventions with adaptations to local circumstances, development and application of highly sensitive and specific diagnostics are recommended for elimination of schistosomiasis in China. In addition, the implementation of the 2022 WHO guideline on control and elimination of human schistosomiasis may guide the elimination of schistosomiasis in China.
Animals
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China/epidemiology*
;
Goals
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Humans
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Schistosomiasis/prevention & control*
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Snails
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World Health Organization
6.Prediction of trends for fine-scale spread of Oncomelania hupensis in Shanghai Municipality based on supervised machine learning models.
Yan Feng GONG ; Zhuo Wei LUO ; Jia Xin FENG ; Jing Bo XUE ; Zhao Yu GUO ; Yan Jun JIN ; Qing YU ; Shang XIA ; Shan LÜ ; Jing XU ; Shi Zhu LI
Chinese Journal of Schistosomiasis Control 2022;34(3):241-251
OBJECTIVE:
To predict the trends for fine-scale spread of Oncomelania hupensis based on supervised machine learning models in Shanghai Municipality, so as to provide insights into precision O. hupensis snail control.
METHODS:
Based on 2016 O. hupensis snail survey data in Shanghai Municipality and climatic, geographical, vegetation and socioeconomic data relating to O. hupensis snail distribution, seven supervised machine learning models were created to predict the risk of snail spread in Shanghai, including decision tree, random forest, generalized boosted model, support vector machine, naive Bayes, k-nearest neighbor and C5.0. The performance of seven models for predicting snail spread was evaluated with the area under the receiver operating characteristic curve (AUC), F1-score and accuracy, and optimal models were selected to identify the environmental variables affecting snail spread and predict the areas at risk of snail spread in Shanghai Municipality.
RESULTS:
Seven supervised machine learning models were successfully created to predict the risk of snail spread in Shanghai Municipality, and random forest (AUC = 0.901, F1-score = 0.840, ACC = 0.797) and generalized boosted model (AUC= 0.889, F1-score = 0.869, ACC = 0.835) showed higher predictive performance than other models. Random forest analysis showed that the three most important climatic variables contributing to snail spread in Shanghai included aridity (11.87%), ≥ 0 °C annual accumulated temperature (10.19%), moisture index (10.18%) and average annual precipitation (9.86%), the two most important vegetation variables included the vegetation index of the first quarter (8.30%) and vegetation index of the second quarter (7.69%). Snails were more likely to spread at aridity of < 0.87, ≥ 0 °C annual accumulated temperature of 5 550 to 5 675 °C, moisture index of > 39% and average annual precipitation of > 1 180 mm, and with the vegetation index of the first quarter of > 0.4 and the vegetation index of the first quarter of > 0.6. According to the water resource developments and township administrative maps, the areas at risk of snail spread were mainly predicted in 10 townships/subdistricts, covering the Xipian, Dongpian and Tainan sections of southern Shanghai.
CONCLUSIONS
Supervised machine learning models are effective to predict the risk of fine-scale O. hupensis snail spread and identify the environmental determinants relating to snail spread. The areas at risk of O. hupensis snail spread are mainly located in southwestern Songjiang District, northwestern Jinshan District and southeastern Qingpu District of Shanghai Municipality.
Animals
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Bayes Theorem
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China/epidemiology*
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Ecosystem
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Gastropoda
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Supervised Machine Learning
7.Spatio-temporal distribution characteristics of Oncomelania hupensis in Anhui Province from 2011 to 2020.
Can WANG ; Xiao Juan XU ; Feng Hua GAO ; Li Juan ZHANG ; Shan LÜ ; Shi Qing ZHANG ; Jing XU
Chinese Journal of Schistosomiasis Control 2022;34(3):252-258
OBJECTIVE:
To analyze the spatial-temporal distribution characteristics of Oncomelania hupensis snails in Anhui Province from 2011 to 2020, to provide insights into precision control of O. hupensis snails in Anhui Province.
METHODS:
O. hupensis snail distribution data were collected in Anhui Province from 2011 to 2020 and descriptively analyzed, including actual area of snail habitats, area of emerging snail habitats and area of Schistosoma japonicum-infected snails. The actual area of snail habitats and area of emerging snail habitats were subjected to spatial autocorrelation analysis, hotspot analysis, standard deviation ellipse analysis and space-time scanning analysis, and the clusters of snail distribution and settings at high risk of snail spread were identified in Anhui Province from 2011 to 2020.
RESULTS:
The actual area of snail habitats gradually decreased in Anhui Province from 2011 to 2020. The actual area of snail habitats were 26 238.85 hm2 in Anhui Province in 2020, which were mainly distributed in marshland and lake regions. There was a large fluctuation in the area of emerging snail habitats in Anhui Province during the period from 2011 to 2020, with the largest area seen in 2016 (1 287.65 hm2), and 1.96 hm2 emerging infected snail habitats were detected in Guichi District, Chizhou City in 2020. Spatial autocorrelation and hotspot analyses showed spatial clusters in the distribution of actual areas of snail habitats in Anhui Province from 2011 to 2020 (Z = 3.00 to 3.43, all P values < 0.01), and the hotspots were mainly concentrated in the marshland and lake regions and distributed along the south side of the Yangtze River, while the cold spots were mainly concentrated in the mountainous regions of southern Anhui Province. There were no overall spatial clusters in the distribution of areas of emerging snail habitats (Z = -2.20 to 1.71, all P values > 0.05), and a scattered distribution was found in local regions. Standard deviation ellipse analysis showed relatively stable distributions of the actual areas of snail habitats in Anhui Province from 2011 to 2020, which was consistent with the flow direction of the Yangtze River, and the focus of the distribution of areas of emerging snail habitats shifted from the lower reaches to upper reaches of Anhui section of the Yangtze River. Space-time scanning analysis identified two high-value clusters in the distribution of actual areas of snail habitats in lower and middle reaches of Anhui section of the Yangtze River from 2011 to 2020, and two high-value clusters in the distribution of areas of emerging snail habitats were identified in mountainous and hilly regions.
CONCLUSIONS
There were spatial clusters in the distribution of O. hupensis snails in Anhui Province from 2011 to 2020, which appeared a tendency of aggregation towards the south side and upper reaches of the Yangtze River; however, the spread of O. hupensis snails could not be neglected in mountainous and hilly regions. Monitoring of emerging snail habitats should be reinforced in mountainous and hilly regions and along the Yangtze River basin.
Animals
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China/epidemiology*
;
Ecosystem
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Gastropoda
;
Lakes
;
Rivers
;
Schistosoma japonicum
8.Schistosomiasis control in China from 2012 to 2021: progress and challenges
Jing XU ; Chun-li CAO ; Shan LÜ ; Shi-zhu LI ; Xiao-nong ZHOU
Chinese Journal of Schistosomiasis Control 2022;34(6):559-565
Schistosomiasis has been endemic in China for more than 2 000 years, which causes huge morbidity, social and economic burdens. Guided by the national specific strategic programs and criteria for schistosomiasis, tremendous achievements have been gained for schistosomiasis elimination in China. This paper reviews the progress of schistosomiasis control and endemic status of schistosomiasis in China during the period from 2012 to 2021, analyzes the challenges to achieve the goal of schistosomiasis elimination in China by 2030, and proposes suggestions for future schistosomiasis control programs.
9.Key points and research priorities of schistosomiasis control in China during the 14th Five-Year Plan Period
Jing XU ; Wei HU ; Kun YANG ; Shan LÜ ; Shi-Zhu LI ; Xiao-Nong ZHOU
Chinese Journal of Schistosomiasis Control 2021;33(1):1-6
Schistosomiasis was once endemic in 12 provinces (municipalities, autonomous regions) along and south of the Yangtze River basin, which seriously damages human health and hinders socioeconomic developments in China. Following the concerted efforts for 70 years, remarkable achievements have been gained in the national schistosomiasis control program of China. However, there are still multiple challenges for elimination of schistosomiasis in the country. This paper describes the current status of schistosomiasis and the challenges during the progress towards the elimination of schistosomiasis, and proposes the goals, key points and research priorities of schistosomiasis control in China during the 14th Five-Year Plan Period.
10.Expert consensus on the strategy and measures to interrupt the transmission of schistosomiasis in China
Shan LÜ ; Chao LÜ ; Yin-Long LI ; Jing XU ; Qing-Biao HONG ; Jie ZHOU ; Jian-Feng ZHANG ; Li-Yong WEN ; Jian-Feng ZHANG ; Shing-Qing ZHANG ; Dan-Dan LIN ; Jian-Bing LIU ; Guang-Hui REN ; Yi DONG ; Yang LIU ; Kun YANG ; Zhi-Hua JIANG ; Zhuo-Hui DENG ; Yan-Jun JIN ; Han-Guo XIE ; Yi-Biao ZHOU ; Tian-Ping WANG ; Yi-Wen LIU ; Hong-Qing ZHU ; Chun-Li CAO ; Shi-Zhu LI ; Xiao-Nong ZHOU
Chinese Journal of Schistosomiasis Control 2021;33(1):10-14
Since 2015 when the transmission of schistosomiasis was controlled in China, the country has been moving towards elimination of schistosomiasis, with the surveillance-response as the main interventions for schistosomiasis control. During the period of the 13th Five-Year Plan, the transmission of schistosomiasis had been interrupted in four provinces of Sichuan, Jiangsu, Yunnan and Hubei and the prevalence of schistosomiasis has been at the historically lowest level in China. As a consequence, the goal set in The 13th Five-Year National Schistosomiasis Control Program in China is almost achieved. However, there are multiple challenges during the stage moving towards elimination of schistosomiasis in China, including the widespread distribution of intermediate host snails and complicated snail habitats, many types of sources of Schistosoma japonicum infections and difficulty in management of bovines and sheep, unmet requirements for the current schistosomiasis control program with the currently available tools, and vulnerable control achievements. During the 14th Five-Year period, it is crucial to consolidate the schistosomiasis control achievements and gradually solve the above difficulties, and critical to provide the basis for achieving the ultimate goal of elimination of schistosomiasis in China. Based on the past experiences from the national schistosomiasis control program and the challenges for schistosomiasis elimination in China, an expert consensus has been reached pertaining to the objectives, control strategy and measures for The 14th Five-Year National Schistosomiasis Control Program in China, so as to provide insights in to the development of The 14th Five-Year National Schistosomiasis Control Program in China.

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