Preliminary study on the mechanism underlying the ecological isolation of Oncomelania hupensis populations in Changde City / 中国血吸虫病防治杂志

Objective To investigate ecological isolation between Oncomelania hupensis snail populations in hilly regions and marshland and lake regions in Yuanjiang valley, Changde City, Hunan Province, and to unravel its underlying mechanisms. Methods Taoyuan County, Shimen County, Linli County and Lixian County in Changde City were selected as snail sampling sites in hilly regions, and Lixian County, Jinshi City, West Lake Administration District, Hanshou County and Dingcheng District were selected as snail sampling sites in marshland and lake areas. Cytochrome C oxidase 1 (cox 1) gene was amplified in snail samples and sequenced. The genetic sequences of O. hupensis snails were aligned using the software MEGA 11, and the haplotypes of O. hupensis snails were determined using the software DNASP 5.10.01. The phylogenetic tree was generated using Bayesian inference with the software MrBayes 3.2, and analysis of molecular variance (AMOVA) was performed to analyze the source of genetic divergence and estimate the genetic divergence index (FST) among snail populations with the software Arlequin 3.5.2.2. The genetic barrier among 11 O. hupensis snail populations was estimated using the Monmonier algorithm of adegenet toolkit in R package. The settings with “land in winter and water in summer” in the Yuanjian River section were divided into two categories according to the upstream and downstream, and the areas with “land in winter and water in summer” in the upstream and downstream were transformed into raster data, and then loaded into the software Fragstats 4 for analysis of landscape indicators. The trends in changes of digital elevation were extracted from the Yuanjiang River section based on the digital elevation model, and made three-dimensional visualization using the R package. Results The mitochondrial cox 1 gene were amplified in 165 O. hupensis snais from 11 sampling sites and sequenced, and a total of 152 valid gene sequences were obtained, with 46 haplotypes or 9 populations determined. No haplotype was shared in snails between Taoyuan County and Dingcheng District and Hanshou County along the downstream of the Yuanjiang River. The total area of settings with “land in winter and water in summer” was 617.66 hm2 in the upsteram of the Yuanjiang River, which consisted of 473 patches, with each patch measuring 1.31 hm2, the largest area index of 0.735 2, the landscape division index of 0.999 9, and the landscape shape index of 45.293 7. The total area of settings with “land in winter and water in summer” was 9 956.92 hm2 in the downstream of the Yuanjiang River, which consisted of 771 patches, with each patch measuring 12.91 hm2, the largest area index of 97.839 9, the landscape division index of 0.042 7, and the landscape shape index of 7.249 6. The area of settings with “land in winter and water in summer” was much larger in the downstream than that in the upstream of the Yuanjiang River, and the stronger landscape connectivity and non-remarkable alteration of riverbed elevation provided suitable habitats for snail breeding. Conclusion The hydrological and environmental characteristics of the upstream of the Yuanjiang River restrain the breeding and spread of O. hupensis, resulting in ecological isolation between Oncomelania hupensis in Taoyuan County and those in the downstream of Yuanjiang River.

Comparison of the disease burden of schistosomiasis globally and in China and Zimbabwe / 中国血吸虫病防治杂志

Objective To investigate the trends in the disease burden of schistosomiasis worldwide and in China, and Zimbabwe from 1990 to 2019, so as to provide insights into the formulation of the schistosomiasis control strategy in Zimbabwe. Methods Based on Global Burden of Disease Study 2019 (GBD 2019) data sources, the age-standardized prevalence, mortality, disability-adjusted life year (DALY) rate of schistosomiasis were compared in the world, China, and Zimbabwe and the trends in the disease burden of schistosomiasis from 1990 to 2019 were investigated using Joinpoint regression analysis. In addition, the associations between the burden of schistosomiasis worldwide and in China and Zimbabwe from 1990 to 2019 and socio-demographic index (SDI) were examined using Pearson correlation analysis. Results The age-standardized prevalence, mortality, and DALY rate of schistosomiasis were 1 804.95/105, 0.14/105 and 20.92/105 in the world, 707.09/105, 0.02/105 and 5.06/105 in China, and 2 218.90/105, 2.39/105 and 90.09/105 in Zimbabwe in 2019, respectively. The global prevalence, mortality, and DALY rate of schistosomiasis appeared a tendency towards a rise followed by a decline with age in 2019, while the prevalence and DALY rate of schistosomiasis appeared a tendency towards a sharp rise followed by a fluctuating decline in both China and Zimbabwe, and the mortality of schistosomiasis appeared a tendency towards a rise. The age-standardized prevalence [average annual percent change (AAPC) = −1.31%, −2.22% and −6.12%; t = −20.07, −83.38 and −53.06; all P values < 0.05)] and DALY rate of schistosomiasis (AAPC = −1.91%,−4.17% and −2.08%; t = −31.89, −138.70 and −16.45; all P values < 0.05) appeared a tendency towards a decline in the world, China and Zimbabwe from 1990 to 2019, and the age-standardized mortality of schistosomiasis appeared a tendency towards a decline in the world and China (AAPC = −3.46% and −8.10%, t = −41.03 and −61.74; both P values < 0.05), and towards a rise followed by a decline in Zimbabwe (AAPC = 1.35%, t = 4.88, P < 0.05). In addition, Pearson correlation analysis showed that the age-standardized prevalence (r = −0.75, P < 0.05), mortality (r = −0.73, P < 0.05), and DALY rate of schistosomiasis (r = −0.77, P < 0.05) correlated negatively with SDI in the world, China and Zimbabwe from 1990 to 2019. Conclusions The disease burden of schistosomiasis appeared a remarkable decline in China from 1990 to 2019, and the prevalence of schistosomiasis showed a tendency towards a decline in Zimbabwe from 1990 to 2019; however, the mortality and DALY rate of schistosomiasis in Zimbabwe topped in the world. A schistosomiasis control strategy with adaptations to local epidemiology and control needs of schistosomiasis is needed to facilitate the elimination of schistosomiasis in Zimbabwe.

Intelligent identification of livestock, a source of Schistosoma japonicum infection, based on deep learning of unmanned aerial vehicle images / 中国血吸虫病防治杂志

Objective To develop an intelligent recognition model based on deep learning algorithms of unmanned aerial vehicle (UAV) images, and to preliminarily explore the value of this model for remote identification, monitoring and management of cattle, a source of Schistosoma japonicum infection. Methods Oncomelania hupensis snail-infested marshlands around the Poyang Lake area were selected as the study area. Image datasets of the study area were captured by aerial photography with UAV and subjected to augmentation. Cattle in the sample database were annotated with the annotation software VGG Image Annotator to create the morphological recognition labels for cattle. A model was created for intelligent recognition of livestock based on deep learning-based Mask R-convolutional neural network (CNN) algorithms. The performance of the model for cattle recognition was evaluated with accuracy, precision, recall, F1 score and mean precision. Results A total of 200 original UAV images were obtained, and 410 images were yielded following data augmentation. A total of 2 860 training samples of cattle recognition were labeled. The created deep learning-based Mask R-CNN model converged following 200 iterations, with an accuracy of 88.01%, precision of 92.33%, recall of 94.06%, F1 score of 93.19%, and mean precision of 92.27%, and the model was effective to detect and segment the morphological features of cattle. Conclusion The deep learning-based Mask R-CNN model is highly accurate for recognition of cattle based on UAV images, which is feasible for remote intelligent recognition, monitoring, and management of the source of S. japonicum infection.

Prediction of trends for fine-scale spread of Oncomelania hupensis in Shanghai Municipality based on supervised machine learning models / 中国血吸虫病防治杂志

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.

Spatiotemporal heterogeneity of schistosomiasis in mainland China: Evidence from a multi-stage continuous downscaling sentinel monitoring

Objective: To determine the spatiotemporal distribution of Schistosoma (S.) japonicum infections in humans, livestock, and Oncomelania (O.) hupensis across the endemic foci of China. Methods: Based on multi-stage continuous downscaling of sentinel monitoring, county-based schistosomiasis surveillance data were captured from the national schistosomiasis surveillance sites of China from 2005 to 2019. The data included S. japonicum infections in humans, livestock, and O. hupensis. The spatiotemporal trends for schistosomiasis were detected using a Joinpoint regression model, with a standard deviational ellipse (SDE) tool, which determined the central tendency and dispersion in the spatial distribution of schistosomiasis. Further, more spatiotemporal clusters of S. japonicum infections in humans, livestock, and O. hupensis were evaluated by the Poisson model. Results: The prevalence of S. japonicum human infections decreased from 2.06% to zero based on data of the national schistosomiasis surveillance sites of China from 2005 to 2019, with a reduction from 9.42% to zero for the prevalence of S. japonicum infections in livestock, and from 0.26% to zero for the prevalence of S. japonicum infections in O. hupensis. Analysis using an SDE tool showed that schistosomiasis-affected regions were reduced yearly from 2005 to 2014 in the endemic provinces of Hunan, Hubei, Jiangxi, and Anhui, as well as in the Poyang and Dongting Lake regions. Poisson model revealed 11 clusters of S. japonicum human infections, six clusters of S. japonicum infections in livestock, and nine clusters of S. japonicum infections in O. hupensis. The clusters of human infection were highly consistent with clusters of S. japonicum infections in livestock and O. hupensis. They were in the 5 provinces of Hunan, Hubei, Jiangxi, Anhui, and Jiangsu, as well as along the middle and lower reaches of the Yangtze River. Humans, livestock, and O. hupensis infections with S. japonicum were mainly concentrated in the north of the Hunan Province, south of the Hubei Province, north of the Jiangxi Province, and southwestern portion of Anhui Province. In the 2 mountainous provinces of Sichuan and Yunnan, human, livestock, and O. hupensis infections with S. japonicum were mainly concentrated in the northwestern portion of the Yunnan Province, the Daliangshan area in the south of Sichuan Province, and the hilly regions in the middle of Sichuan Province. Conclusions: A remarkable decline in the disease prevalence of S. japonicum infection was observed in endemic schistosomiasis in China between 2005 and 2019. However, there remains a long-term risk of transmission in local areas, with the highest-risk areas primarily in Poyang Lake and Dongting Lake regions, requiring to focus on vigilance against the rebound of the epidemic. Development of high-sensitivity detection methods and integrating the transmission links such as human and livestock infection, wild animal infection, and O. hupensis into the surveillance-response system will ensure the elimination of schistosomiasis in China by 2030.

Spatiotemporal heterogeneity of schistosomiasis in mainland China: Evidence from a multi-stage continuous downscaling sentinel monitoring

Objective: To determine the spatiotemporal distribution of Schistosoma (S.) japonicum infections in humans, livestock, and Oncomelania (O.) hupensis across the endemic foci of China. Methods: Based on multi-stage continuous downscaling of sentinel monitoring, county-based schistosomiasis surveillance data were captured from the national schistosomiasis surveillance sites of China from 2005 to 2019. The data included S. japonicum infections in humans, livestock, and O. hupensis. The spatiotemporal trends for schistosomiasis were detected using a Joinpoint regression model, with a standard deviational ellipse (SDE) tool, which determined the central tendency and dispersion in the spatial distribution of schistosomiasis. Further, more spatiotemporal clusters of S. japonicum infections in humans, livestock, and O. hupensis were evaluated by the Poisson model. Results: The prevalence of S. japonicum human infections decreased from 2.06% to zero based on data of the national schistosomiasis surveillance sites of China from 2005 to 2019, with a reduction from 9.42% to zero for the prevalence of S. japonicum infections in livestock, and from 0.26% to zero for the prevalence of S. japonicum infections in O. hupensis. Analysis using an SDE tool showed that schistosomiasis-affected regions were reduced yearly from 2005 to 2014 in the endemic provinces of Hunan, Hubei, Jiangxi, and Anhui, as well as in the Poyang and Dongting Lake regions. Poisson model revealed 11 clusters of S. japonicum human infections, six clusters of S. japonicum infections in livestock, and nine clusters of S. japonicum infections in O. hupensis. The clusters of human infection were highly consistent with clusters of S. japonicum infections in livestock and O. hupensis. They were in the 5 provinces of Hunan, Hubei, Jiangxi, Anhui, and Jiangsu, as well as along the middle and lower reaches of the Yangtze River. Humans, livestock, and O. hupensis infections with S. japonicum were mainly concentrated in the north of the Hunan Province, south of the Hubei Province, north of the Jiangxi Province, and southwestern portion of Anhui Province. In the 2 mountainous provinces of Sichuan and Yunnan, human, livestock, and O. hupensis infections with S. japonicum were mainly concentrated in the northwestern portion of the Yunnan Province, the Daliangshan area in the south of Sichuan Province, and the hilly regions in the middle of Sichuan Province. Conclusions: A remarkable decline in the disease prevalence of S. japonicum infection was observed in endemic schistosomiasis in China between 2005 and 2019. However, there remains a long-term risk of transmission in local areas, with the highest-risk areas primarily in Poyang Lake and Dongting Lake regions, requiring to focus on vigilance against the rebound of the epidemic. Development of high-sensitivity detection methods and integrating the transmission links such as human and livestock infection, wild animal infection, and O. hupensis into the surveillance-response system will ensure the elimination of schistosomiasis in China by 2030.

Construction of a forecast system for prediction of schistosomiasis risk in China based on the flood information / 中国血吸虫病防治杂志

Objective To create a model based on meteorological data to predict the regions at risk of schistosomiasis during the flood season, so as to provide insights into the surveillance and forecast of schistosomiasis. Methods An interactive schistosomiasis forecast system was created using the open-access R software. The schistosomiasis risk index was used as a basic parameter, and the species distribution model of Oncomelania hupensis snails was generated according to the cumulative rainfall and temperature to predict the probability of O. hupensis snail distribution, so as to identify the regions at risk of schistosomiasis transmission during the flood season. Results The framework of the web page was built using the Shiny package in the R program, and an interactive and visualization system was successfully created to predict the distribution of O. hupensis snails, containing O. hupensis snail surveillance site database, meteorological and environmental data. In this system, the snail distribution area may be displayed and the regions at risk of schistosomiasis transmission may be predicted using the species distribution model. This predictive system may rapidly generate the schistosomiasis transmission risk map, which is simple and easy to perform. In addition, the regions at risk of schistosomiasis transmission were predicted to be concentrated in the middle and lower reaches of the Yangtze River during the flood period. Conclusions A schistosomiasis forecast system is successfully created, which is accurate and rapid to utilize meteorological data to predict the regions at risk of schistosomiasis transmission during the flood period.

Epidemiological profiles of echinococcosis cases reported in the National Notifiable Disease Report System in non-endemic areas of China from 2004 to 2016 / 中国血吸虫病防治杂志

Objective To investigate the epidemiological profiles of echinococcosis cases reported in non-endemic areas of China in the National Notifiable Disease Report System from 2004 to 2016, so as to provide insights into the development of effective surveillance and response measures. Methods The data pertaining to the echinococcosis cases reported in the National Notifiable Disease Report System in 22 non-endemic provinces of China from 2004 to 2016 were collected, and the epidemiological profiles of the reported echinococcosis cases were descriptively analyzed. Results A total of 462 echinococcosis cases were reported in the 22 non-endemic provinces of China from 2004 to 2016, and the number of reported cases increased with time (χ2 = 4.516, P = 0.034). During the 13-year period from 2004 to 2016, the highest number of echinococcosis cases was reported in central and eastern China (56.49%), followed by in northern and northeastern China (30.30%), and the highest number of echinococcosis cases was reported in Henan Province (99 cases). Among the 462 echinococcosis cases reported, there were 234 men and 228 women, and the mean age was (41.42 ± 16.03) years (range, 4 to 86 years), with the highest number of echinococcosis cases reported at ages of 20 to 50 years (63.20%). The highest proportion of occupations was farmers and herdsmen (36.15%), and the greatest source was from echinococcosis-endemic provinces (50.43%); in addition, 97.40% of the echinococcosis cases were reported by hospitals. Conclusions Echinococcosis cases were reported in all 22 non-endemic provinces of China in the National Notifiable Disease Report System from 2004 to 2016, and the number of reported cases appeared an overall tendency for sporadicity and local increase with time. Screening of echinococcosis is recommended among famers and herdsmen at ages of 20 to 50 years from endemic regions by medical institutions in non-endemic regions for timely identification and treatment of echinococcosis cases.

Analysis on oral medication rules of traditional Chinese medicine prescriptions for prevention of COVID-19 / 中草药·英文版

Objective: To analyze the medication rules of traditional Chinese medicine (TCM) preventive oral prescriptions for COVID-19. Methods: The preventive oral prescriptions for COVID-19 published by national and provincial health and wellness committees, administrations of TCM, medical institutions at all levels, medical masters and Chinese medicine experts were collected to establish a database, manual screening was carried out according to the inclusion and exclusion criteria, and frequency statistics, association rule analysis. The mutual information method, entropy hierarchical clustering and other methods were improved through Excel and the TCM inheritance auxiliary platform V2.5 to mine the rules and characteristics of medication. Results: The selected 157 prescriptions contained a total of 130 TCMs. The top five TCMs with the highest use frequency were Glycyrrhizae Radix et Rhizoma (86), Astragali Radix (80), Lonicerea Japonicae Flos (70), Atractylodis Macrocephalae Rhizoma (62), Saposhnikoviae Radix (60). In accordance with TCM efficacy classification, most of them were medicines for qi-tonifying (279), followed by medicines for clearing heat and drying dampness (163), dispelling pathogenic wind-cold (126), resolving dampness (111), as well as dispelling pathogenic wind-heat (99). The characteristics of four-natures of the selected medicines are as follows: most of them were cold (59), followed by warm (38) and mild (21). In terms of five-taste, most of them were sweet (26) and acrid-and-bitter (24), followed by sweet-and-bitter (20), bitter (20) and acrid (15). For the meridian attribution, the five-zang organs and six-fu organs were all involved, most of them attributed to lung meridian (80), followed by stomach meridian (57) and spleen meridian (40). Based on association rule analysis, 12 commonly used medicine combinations with two or three TCMs were found. The commonly used medicinal pairs included Astragali Radix and Saposhnikoviae Radix (51), Astragali Radix and Atractylodis Macrocephalae Rhizoma (46), Atractylodis Macrocephalae Rhizoma and Saposhnikoviae Radix (43), Astragali Radix and Atractylodis Macrocephalae Rhizoma and Saposhnikoviae Radix (38), Forsythiae Fructus and Astragali Radix (37), and so on. In addition, 14 core combinations of medicines were obtained by complex system entropy cluster analysis, on this basis, six new prescriptions were screened out based on unsupervised entropy hierarchical clustering analysis. According to The Catalogue of Edible Traditional Chinese Medicinal Materials, Traditional Chinese Medicinal Materials for Health Food, and New Resources of Food published by National Health Commission of the People's Republic of China, there are 35 species belonging to the group of edible traditional Chinese medicinal materials, 20 species belonging to the group of new resources of food, 31 species belonging to the group of traditional Chinese medicinal materials for health food, 19.11% of the preventive oral prescriptions for COVID-19 were composed of the medicines belonging to the above three groups. Besides, there are 11 toxic species, and 24.84% of the preventive oral prescriptions for COVID-19 contained toxic TCMs. Conclusion: We found that invigorating qi and resolving dampness were the main treatment used to prevent for COVID-19, combined with the methods for strengthening vital energy and eliminating pathogenic factors. Most of the preventive oral prescriptions for COVID-19 were treated in lung, spleen and stomach meridians. In the process of selecting prescriptions and using TCMs to prevent for COVID-19, the safety of preventive medicines was also emphasized. And the theory of “Preventive Treatment of Disease” was embodied in these preventive oral prescriptions for COVID-19. For the prescriptions containing toxic TCMs, special attention should be paid to their safety in clinical application.

[Epidemic and research progress of babesiosis].

Babesiosis is an emerging parasitic disease, distributed globally in Europe, Asia, Africa, North and South America, and Australia, and the United States is still the country with the largest number of babesiosis cases reported. Babesiosis in China is mainly distributed in the northeast, followed by the southwest and other regions. As a new vector-borne infectious disease, babesiosis poses a serious threat to human health, and its research foundation is relatively weak, so it requires more attention and recognition. The research hot spots on babesiosis are screening of diagnostic antigens, and the mechanisms of Babesia and the hosts, co-infections between Babesia and other pathogens. The epidemic distribution, screening of diagnostic antigens, host immune response mechanism and co-infection of babesiosis in our country and abroad are reviewed in this paper.

Global Sensitivity Analysis To Characterize Operational Limits and Prioritize Performance Goals of Capacitive Deionization Technologies.

Capacitive deionization (CDI) technologies couple electronic and ionic charge storage, enabling improved thermodynamic efficiency of brackish desalination by recovering energy released during discharge. However, insight into CDI has been limited by discrete experimental observations at low desalination depths (Δ c, typically reducing influent salinity by 10 mM or less). In this study, the performance and sensitivity of three common CDI configurations [standard CDI, membrane CDI (MCDI), and flowable electrode CDI (FCDI)] were evaluated across the operational and material design landscape by varying eight common input parameters (electrode thickness, influent concentration, current density, electrode flow rate, specific capacitance, contact resistance, porosity, and fixed charge). All combinations of designs were evaluated for two influent concentrations with a calibrated and validated one-dimensional (1-D) porous electrode model. Sensitivity analyses were carried out via Monte Carlo and Morris methods, focusing on six performance metrics. Across all performance metrics, high sensitivity was observed to input parameters which impact cycle length (current, resistance, and capacitance). Simulations demonstrated the importance of maintaining both charge and round-trip efficiencies, which limit the performance of CDI and FCDI, respectively. Accounting for energy recovery, only MCDI was capable of operating at thermodynamic efficiencies similar to reverse osmosis.

MiR-146a promotes oligodendrocyte progenitor cell differentiation and enhances remyelination in a model of experimental autoimmune encephalomyelitis.

The death of mature oligodendrocytes (OLs) leads to demyelination in the central nervous system (CNS) and subsequently to functional deficits. Remyelination requires the differentiation of oligodendrocyte progenitor cells (OPCs) into myelinating OLs, which in the CNS with neurodegenerative diseases such as multiple sclerosis (MS), is often inhibited. Among the inhibitors of OPC differentiation are toll-like receptor 2 (TLR2) and interleukin-1 receptor-associated kinase 1 (IRAK1) signaling, and both are negatively regulated by microRNA-146a (miR-146a). Therefore, we hypothesized that increase of miR-146a level in the CNS would foster OPC differentiation and remyelination by inhibiting the TLR2/IRAK1 signaling pathway. Here, we tested this hypothesis using exogenous miR-146a mimics and a mouse model of MS, experimental autoimmune encephalomyelitis (EAE) induced by immunization with myelin proteolipid protein peptide (PLP139-151). EAE mice were treated by miR-146a mimics or miR-146a mimic negative controls, respectively, which initiated at day 14 post immunization, once a week for 6 consecutive weeks. Neurological function was monitored daily. Immunofluorescent staining, qRT-PCR and Western blot were used to measure the differentiation of OPCs and myelination, and to investigate the underlying mechanisms of action of miR-146a. Using a fluorescence tracing approach, we found that miR-146a mimics crossed the blood brain barrier and targeted OPCs and microglia/macrophages after systemic administration. MiR-146a mimic treatment substantially improved neurological functional outcome, increased the number of newly generated OLs which may facilitate remyelination in the CNS. The cell number, cytokine level and protein levels of M2 phonotype of microglia/macrophages significantly increased, while cytokine and protein levels of the M1 phenotype significantly decreased after miR-146a mimic treatment. Increased OPC differentiation and remyelination were associated with reduction of TLR2/IRAK1 signaling pathway activity by miR-146a mimic treatment. This study provides insight into the cellular and molecular bases for the therapeutic effects of miR-146a on OPC differentiation and remyelination, and suggests the potential of enhancing miR-146a as a treatment of demyelinating disorders.

Epidemic and research progress of babesiosis / 中国血吸虫病防治杂志

Babesiosis is an emerging parasitic disease, distributed globally in Europe, Asia, Africa, North and South America, and Australia, and the United States is still the country with the largest number of babesiosis cases reported. Babesiosis in China is mainly distributed in the northeast, followed by the southwest and other regions. As a new vector-borne infectious disease, babesiosis poses a serious threat to human health, and its research foundation is relatively weak, so it requires more attention and recognition. The research hot spots on babesiosis are screening of diagnostic antigens, and the mechanisms of Babesia and the hosts, co-infections between Babesia and other pathogens. The epidemic distribution, screening of diagnostic antigens, host immune response mechanism and co-infection of babesiosis in our country and abroad are reviewed in this paper.

A hypothesis on the Q-markers based on characteristics of opposite-effect of herbs: an example of Sanqi / 药学学报

The quality definition of traditional Chinese medicine (TCM) is a hot area in modern research of TCM. In recent years, the characteristics of one herb with multiple effects have been widely accepted and studied. The typical opposite-effect of herbs is considered as a special part of one herb with multiple effects, and was summarized in this paper. Sanqi was used as an example of opposite-effect herbs for developing the strategies and approaches on the Q-markers. The traditional opposite-effect should be studied by modern pharmacological research methods. The correlation of the chemical components with the opposite effects should be established in order to verify the material basis and evaluate the mechanism including targets and pathways. The unique characteristics of chemical components should be analyzed and defined. Finally, the Q-markers of the opposite effect herb will be confirmed. This paper provides a useful reference for the precise quality control of herbal opposite-effects.

[Design and implementation of field questionnaire survey system of taeniasis/cysticercosis].

A taeniasis/cysticercosis information management system was designed to achieve the dynamic monitoring of the epidemic situation of taeniasis/cysticercosis and improve the intelligence level of disease information management. The system includes three layer structures (application layer, technical core layer, and data storage layer) and designs a datum transmission and remote communication system of traffic information tube in Browser/Server architecture. The system is believed to promote disease datum collection. Additionally, the system may provide the standardized data for convenience of datum analysis.

Research on rules of medication for diabetes mellitus based on analysis on 755 traditional Chinese medicine prescriptions / 中草药

To explore the rules of medication for diabetes and diabetic complications based on analysis on 755 traditional Chinese medicine (TCM) prescriptions. The information in 755 papers published from 1995 to 2016 was got including 755 herbal prescriptions, 367 herbs, 33 330 effective cases. Based on the above information, usage frequency of single herb, efficiency and the rules of formulating prescription for different types of diabetes were analyzed and compared using Microsoft Excel 2010 and Clementine 12.0 software. In the treatment of diabetes and its complications, the top four diabetes symptoms are about diabetes, diabetic neurological complications, diabetic nephropathy and diabetic cardiovascular complications, and accounting for 31.62%, 29.82%, 8.87%, and 6.47% of the total number of effective cases. Further analysis of the top four illnesses found that single herb commonly used in the treatment of diabetes was Astragali Radix, Dioscoreae Rhizoma, Rehmanniae Radix, Trichosanthis Radix, Ophiopogonis Radix, etc. The commonly used drugs categories were tonic herbs, heat-clearing herbs and blood activating herbs; The single medicine commonly used in the treatment of diabetic neurological complications was Astragali Radix, Angelicae Sinensis Radix, Chuanxiong Rhizoma, Radix Salviae Miltiorrhizae et Rhizoma, Cinnamomi Ramulus, etc. The commonly used drugs categories were tonic herbs, blood activating herbs and heat-clearing herbs; The single herb commonly used in the treatment of diabetic nephropathy was Astragali Radix, Dioscoreae Rhizoma, Salviae Miltiorrhizae Radix, Poria, Fructus Corni, etc., the commonly used drugs categories were tonic herbs, blood activating herbs and damp-clearing herbs. The single herb commonly used in the treatment of diabetic cardiovascular complications was Astragali Radix, Salviae Miltiorrhizae Radix, Angelicae Sinensis Radix, Carthami Flos, Chuanxiong Rhizoma, etc., the commonly used drugs categories were blood activating herbs, tonic herbs and heat-clearing herbs. The rules of medication of TCM for diabetes, diabetic neurological complications, diabetic nephropathy and diabetic cardiovascular complications showed similar characteristics, tonic herbs were used the most frequently, supplemented by blood activating herbs, heat-clearing herbs and damp-clearing herbs. However, the principle of formula is a little different for different types of diabetes and diabetic complications, specifically. The prescriptions for diabetes and diabetic neurological complications consist of tonic herbs as the principal, supplemented by blood activating herbs and heat-clearing herbs; The prescriptions for diabetic nephropathy are composed of tonic herbs as the principal, supplemented by blood activating herbs and damp-clearing herbs, as well as tonic herbs and blood activating herbs were equal components in the prescriptions for diabetic cardiovascular complications, supplemented by heat-clearing herbs.

Design and implementation of field questionnaire survey system of taeniasis/cysticercosis / 中国血吸虫病防治杂志

A taeniasis/cysticercosis information management system was designed to achieve the dynamic monitoring of the epidemic situation of taeniasis/cysticercosis and improve the intelligence level of disease information management.The system in-cludes three layer structures(application layer,technical core layer,and data storage layer)and designs a datum transmission and remote communication system of traffic information tube in Browser/Server architecture.The system is believed to promote disease datum collection.Additionally,the system may provide the standardized data for convenience of datum analysis.

Gelatin fibrous scaffolds promote fibrogenic differentiation of human dental pulp stem cells / 中国组织工程研究

BACKGROUND: A tooth can be led to lose viability, split easily and miss immune defensive response by pulpitis and pulp necrosis. Determining how to achieve dental pulp regeneration has become a research focus in dentistry. The physicochemical properties and biocompatibility of scaffold materials are crucial for proliferation and differentiation of stem cells. OBJECTIVE: To study whether a gelatin scaffold can induce dental pulp stem cells to differentiate into fibroblasts.METHODS: Gelatin scaffolds at different concentrations were prepared by electrospinning method. The surface morphology and physical properties of gelatin scaffolds were tested by using scanning electron microscope and tensile tests. The human dental pulp stem cells (hDPSCs) were seeded on the scaffolds and the cell proliferation and fibrogenic differentiation were tested using MTT and RT-PCR. RESULTS AND CONCLUSION: The fiber diameter of the 7.5% gelatin scaffold was (2.02±0.36) μm, and it was increased to (3.15±0.52) μm after cross-linking. In the 15% gelatin scaffold, fiber bonding was detected and strengthened until the emergence of flat structures after cross-linking. Both 7.5% and 15% gelatin scaffolds could promote the adhesion and growth of hDPSCs. On day 7, the cell number on the 7.5% gelatin scaffold was significantly higher than that on the 15% gelatin scaffold (P < 0.05). The levels of Collagen I, α-SMA, Periostin and Fibronectin were also higher in the 7.5% gelatin scaffold than in the 15% gelatin scaffold (P < 0.05). In conclusion, 7.5% gelatin scaffold is more beneficial to the proliferation and fibrogenic differentiation of hDPSCs.

MiR-146a promotes remyelination in a cuprizone model of demyelinating injury.

The death of mature oligodendrocytes (OLs) which are the sole myelinating cells of the central nervous system (CNS), leads to demyelination and functional deficits. Currently, there is lack of effective remyelination therapies for patients with demyelinating diseases. MicroRNAs (miRNAs) mediate OL function. We hypothesized that miR-146a, by inactivating interleukin-1 receptor-associated kinase 1 (IRAK1), promotes differentiation of oligodendrocyte progenitor cells (OPCs) and thereby enhances remyelination. To test this hypothesis, a demyelination model induced by a cuprizone (CPZ) diet was employed, in which C57BL/6J mice were fed with a CPZ diet for 5weeks. After termination of CPZ diet, the mice were randomly treated with continuous infusion of miR-146a mimics or mimic controls into the corpus callosum for 7days. Compared to the mimic control, infusion of miR-146a mimics facilitated remyelination assessed by increased myelin basic proteins in the corpus callosum, which was associated with augmentation of newly generated mature OLs. Infusion of miR-146a mimics also substantially elevated miR-146a levels in the corpus callosum and fluorescently tagged miR-146a mimics were mainly detected in OPCs. Western blot and double immmunofluorescent staining analysis showed that the miR-146a treatment considerably reduced IRAK1 protein levels and the number of IRAK1-positive cells, respectively. Collectively, these data indicate that exogenous miR-146a enhances remyelination, possibly by promoting OPCs to differentiate into myelinated OLs via targeting IRAK1.

[Risk assessment of secondary transmission induced by imported malaria in Jiangxi Province].

OBJECTIVE: To assess the risk of secondary transmission induced by imported malaria in Jiangxi Province, so as to provide the evidence for adjustment of malaria surveillance strategies in the key groups and areas. METHODS: The Delphi method was used to establish the secondary transmission risk indicator system and the weight of each index was obtained. The data of malaria prevalence, vector distribution and intervention capacity were collected in 100 counties of Jiangxi Province from 2012 to 2015. The transmission potential index (TPI), intervention capacity index (ICI), and malaria risk index (MRI) were calculated for each county. The risk map was drawn with GIS software. RESULTS: The top ten counties with highly potential risk indicators were Linchuan District (2.131), Xinzhou District (1.609), Jiujiang County (1.404), Zhanggong District (1.365), Fengcheng City (1.225), Qingshanhu District (1.184), Yudu County (1.171), Dingnan County (1.018), Xunyang District (1.015) and Zhushan District (1.006). The high risk areas were mainly distributed in the regions of the capitals of their prefectures and in counties with more floating population. CONCLUSIONS: There are the risk of the secondary transmission induced by imported malaria in Jiangxi Province. The high risk of the secondary transmission is shown in the areas with more floating population and weaker intervention capacity.