OBJECTIVE: To identify the spatial distribution pattern of Oncomelania hupensis spread in Hubei Province, so as to provide insights into precision O. hupensis snail control in the province. METHODS: Data pertaining to emerging and reemerging snails were collected from Hubei Province from 2020 to 2022 to build a spatial database of O. hupensis snail spread. The spatial clustering of O. hupensis snail spread was identified using global and local spatial autocorrelation analyses, and the hot spots of snail spread were identified using kernel density estimation. In addition, the correlation between environments with snail spread and the distance from the Yangtze River was evaluated using nearest-neighbor analysis and Spearman correlation analysis. RESULTS: O. hupensis snail spread mainly occurred along the Yangtze River and Jianghan Plain in Hubei Province from 2020 to 2022, with a total spread area of 4 320.63 hm², including 1 230.77 hm² emerging snail habitats and 3 089.87 hm² reemerging snail habitats. Global spatial autocorrelation analysis showed spatial autocorrelation in the O. hupensis snail spread in Hubei Province in 2020 and 2021, appearing a spatial clustering pattern (Moran's I = 0.003 593 and 0.060 973, both P values < 0.05), and the mean density of spread snails showed spatial aggregation in Hubei Province in 2020 (Moran's I = 0.512 856, P < 0.05). Local spatial autocorrelation analysis showed that the high-high clustering areas of spread snails were mainly distributed in 50 settings of 10 counties (districts) in Hubei Province from 2020 to 2022, and the high-high clustering areas of the mean density of spread snails were predominantly found in 219 snail habitats in four counties of Jiangling, Honghu, Yangxin and Gong'an. Kernel density estimation showed that there were high-, secondary high- and medium-density hot spots in snail spread areas in Hubei Province from 2020 to 2022, which were distributed in Jingzhou District, Wuxue District, Honghu County and Huangzhou District, respectively. There were high- and medium-density hot spots in the mean density of spread snails, which were located in Jiangling County, Honghu County and Yangxin County, respectively. In addition, the snail spread areas negatively correlated with the distance from the Yangtze River (r = -0.108 9, P < 0.05). CONCLUSIONS There was spatial clustering of O. hupensis snail spread in Hubei Province from 2020 to 2022. The monitoring and control of O. hupensis snails require to be reinforced in the clustering areas, notably in inner embankments to prevent reemerging schistosomiasis.
Animals ; Schistosomiasis/prevention & control* ; Spatial Analysis ; Ecosystem ; Gastropoda ; Rivers ; China/epidemiology*

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 ; Bayes Theorem ; China/epidemiology* ; Ecosystem ; Gastropoda ; Supervised Machine Learning

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 ; China/epidemiology* ; Ecosystem ; Gastropoda ; Lakes ; Rivers ; Schistosoma japonicum

In this study, we analyzed the composition and content of 25 free amino acids in 32 batches of different forms of Cervi Cornu Pantotrichum(CCP; one-branched, two-branched, and three-branched) from 15 producing areas. The clustering analysis and orthogonal partial least squares discriminant analysis(OPLS-DA) were performed based on the content of 25 free amino acids. Potential differential metabolites were identified based on VIP value. The results showed that there were 25 free amino acids in CCP, and the average content of essential, non-essential, and total amino acids was 6.13, 32.99, and 39.12 mg·g~(-1), respectively. The clustering analysis and OPLS-DA demonstrated that 25 free amino acids had different content among the three forms of CCP, of which two-branched CCP samples were separately gathered into a group. Five differential components, including glutamic acid, tryptophan, ornithine, γ-aminobutyric acid, and hydroxylysine, were screened out as potential quality markers for the identification of different forms of CCP. This study provides a theoretical basis for the quality evaluation, processing, and utilization of different forms of CCP.
Amino Acids/analysis* ; Animals ; Cornus ; Deer ; Gastropoda ; Glutamic Acid

In recent years, the MYB-related gene family has been found pivotal in plant growth and development. MYB-related gene family in Angelica dahurica var. formosana was systematically investigated based on "Chuanzhi No. 2" through transcriptome database search and bioinformatics and the temporal and spatial expression patterns were analyzed through real-time fluorescence-based quantitative polymerase chain reaction(PCR). The results showed that 122 MYB-related proteins family were identified, mainly including the unstable hydrophilic proteins with good thermal stability. Most of the proteins were located in nuclei. The majority of the proteins had the structures of random coil and α-helix. Five MYB-related proteins family of A. dahurica var. formosana had membrane-binding domains. The conserved domain analysis of MYB-related proteins family of A. dahurica var. formosana showed that the MYB domains of genes in five subgroups, similar to 2 R-, 3 R-, and 4 R-MYB proteins, contained three evenly distributed Trp(W) residues in the MYB repeat sequence. The phylogenetic analysis of MYB-related proteins family in A. dahurica var. formosana and Arabidopsis thaliana showed that the MYB-related members were unevenly distributed in five subgroups, and A. thaliana and A. dahurica var. formosana had almost the same number of genes in the CCA1-like subgroup. There were differences in the number, type, and distribution of motifs contained in 122 encoded proteins. Transcription factors with similar branches had similar domains and motifs. The expression pattern analysis showed that the transcription factors AdMYB53, AdMYB83, and AdMYB89 responded to hormones to varying degrees, and they were highly expressed in leaves and responded quickly in roots. This study lays a foundation for further investigating the function of MYB-related transcription factors of A. dahurica var. formosana and solving the corresponding biological problems such as bolting early.
Angelica/chemistry* ; Animals ; Computational Biology ; Gastropoda ; Phylogeny ; Plant Leaves ; Plant Proteins/genetics* ; Transcription Factors/genetics*

The present study comprehensively compared the content of chondroitin sulfate in Cervi Cornu Pantotrichum(CCP) and Cervi Cornu(CC) of different specifications and explored the feasibility of chondroitin sulfate as an indicator to distinguish between CCP and CC. Twenty-two batches of CCP of different specifications(two-branched velvet antler and three-branched velvet antler) from 15 habitats, CC from 6 habitats, and 60 batches of CCP slices prepared from different parts(wax slices, powder slices, gauze slices, and bone slices) were collected. High-performance liquid chromatography(HPLC) was used to determine chondroitin sulfate content in CCP and CC of different specifications. Cluster analysis was used to classify CCP slices of different specifications. The results showed that CCP contained abundant chondroitin sulfate. The average content of chondroitin sulfate was 2.35 mg·g~(-1) in two-branched velvet antler and 1.79 mg·g~(-1) in three-branched velvet antler, significantly higher than 0.11 mg·g~(-1) in CC. Chondroitin sulfate content in wax slices, powder slices, gauze slices, and bone slices were 7.81, 8.39, 1.33, and 0.54 mg·g~(-1), respectively. Cluster analysis showed that gauze slices and bone slices could be clustered into one category and distinguished from wax slices and powder slices. CCP slices prepared from different parts could be separated well through chondroitin sulfate content. Based on the five principles of Q-marker selection, chondroitin sulfate can be used as a potential Q-marker for the identification of CCP and CC, as well as a potential quality indicator for CCP slices of different specifications(wax slices, powder slices, gauze slices, and bone slices). This research provides data support for CCP quality evaluation.
Animals ; Cornus ; Chondroitin Sulfates ; Deer ; Powders ; Antlers ; Gastropoda

The color characteristic information of Rhei Radix et Rhizoma powder was obtained by spectrophotometer, the feasibility of rapid identification of Rhei Radix et Rhizoma origin based on chromaticity value was studied by statistical analysis. The results of rank correlation analysis showed that a~*(P<0.01), b~*(P<0.01) had significantly correlation with the origin of medicinal herbs, which could be used as two important parameters to distinguish the origin of Rhei Radix et Rhizoma, the larger the a~* value, the more red the powder color,and the greater the b~* value, the more yellow the powder color. Meanwhile, through Fisher discriminant analysis, the linear discriminant functions of different genus Rhei Radix et Rhizoma were established, which was Rheum tanguticum=40.666a~*+0.019b~*-213.303, Rh. palmatum=34.121a~*+0.061b~*-151.770, Rh. officinale=28.071a~*+0.113b~*-104.604 3, the coincidence rate of cross-validation was over 95%, among them, the discriminant rate of Rh. tanguticum and Rh. officinale reached 100%;In addition, using the percentile method to analyze the 90% reference value range of three different origin of Rhei Radix et Rhizoma, as a result, Rh. tanguticum a~*(10.236 5-10.604 7), b~*(32.294 8-34.841 7); Rh. palmatum a~*(8.602 7-8.770 0), b~*(27.534 8-28.968 6), and Rh. officinale a~*(6.825 7-7.464 3),b~*(21.001 6-27.716 4). According to this study, rank correlation analysis and Fisher discriminant analysis are feasible to distinguish the base of Rhei Radix et Rhizoma in a certain range, and provide some theoretical basis for the identification of Rhei Radix et Rhizoma. It also provides a new method and idea for the identification of other multi-base Chinese medicine.
Animals ; Drugs, Chinese Herbal ; Gastropoda ; Plant Roots ; Rheum ; Rhizome

Freshwater snails, as the first intermediate hosts of trematodes, can cause health hazards in animals and humans. Recently, the World Health Organization has included Iran in a list of 6 countries known to have serious problems with fascioliasis. In addition, cercarial dermatitis is a job-related disease that is seen often in paddy workers, agricultural labourers, and fishermen in Iran, particularly in Mazandaran Province. Many studies have been conducted in Iran to survey larval trematodes in freshwater snails. However, to the best of our knowledge, no comprehensive data exist regarding infections in gastropods. Therefore, the aim of the present study was to estimate the types and prevalence of cercarial infections in snails in Iran. Electronic English-language and Persian-language databases were searched to identify 24 published articles reporting the prevalence of trematode infections in snails (9 species from 6 families) in various provinces of Iran. In total, 4.4% of gastropods were infected with the larval stages of trematodes. According to the studies reviewed in this meta-analysis‚ the highest infection prevalence was found in Radix auricularia (9.9%). Twelve larval species of trematodes were identified, and the highest prevalence of cercariae was found for Echinostomatidae cercariae (4.3%). Among the provinces explored, West Azerbaijan had the highest prevalence of infected snails (16.9%). The presence of trematodes in snails could pose a serious health problem in Iran. Thus, further studies are necessary to characterize these infections in other provinces.
Animals ; Azerbaijan ; Cercaria ; Dermatitis ; Echinostomatidae ; Farmers ; Fascioliasis ; Fresh Water ; Gastropoda ; Humans ; Iran ; Prevalence ; Snails ; Trematode Infections ; World Health Organization

Freshwater snails, as the first intermediate hosts of trematodes, can cause health hazards in animals and humans. Recently, the World Health Organization has included Iran in a list of 6 countries known to have serious problems with fascioliasis. In addition, cercarial dermatitis is a job-related disease that is seen often in paddy workers, agricultural labourers, and fishermen in Iran, particularly in Mazandaran Province. Many studies have been conducted in Iran to survey larval trematodes in freshwater snails. However, to the best of our knowledge, no comprehensive data exist regarding infections in gastropods. Therefore, the aim of the present study was to estimate the types and prevalence of cercarial infections in snails in Iran. Electronic English-language and Persian-language databases were searched to identify 24 published articles reporting the prevalence of trematode infections in snails (9 species from 6 families) in various provinces of Iran. In total, 4.4% of gastropods were infected with the larval stages of trematodes. According to the studies reviewed in this meta-analysis‚ the highest infection prevalence was found in Radix auricularia (9.9%). Twelve larval species of trematodes were identified, and the highest prevalence of cercariae was found for Echinostomatidae cercariae (4.3%). Among the provinces explored, West Azerbaijan had the highest prevalence of infected snails (16.9%). The presence of trematodes in snails could pose a serious health problem in Iran. Thus, further studies are necessary to characterize these infections in other provinces.
Animals ; Azerbaijan ; Cercaria ; Dermatitis ; Echinostomatidae ; Farmers ; Fascioliasis ; Fresh Water ; Gastropoda ; Humans ; Iran ; Prevalence ; Snails ; Trematode Infections ; World Health Organization

BACKGROUND/AIMS: Transforming growth factor-β1 (TGF-β1) induction of epithelial-mesenchymal transition (EMT) is one of the mechanisms by which colorectal cancer (CRC) cells acquire migratory and invasive capacities, and subsequently metastasize. Parthenolide (PT) expresses multiple anti-cancer and anti-inflammatory activities that inhibit nuclear factor κB by targeting the IκB kinase complex. In the present study, we aimed to investigate whether PT can inhibit TGF-β1-induced EMT in CRC cell lines.METHODS: HT-29 and SW480 cell lines were used in the experiment. Cell viability was detected by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay and sub-G1 analysis was measured by flow cytometry. The induction of EMT by TGF-β1 and inhibition of the process by PT was analyzed by phase contrast microscopy, wounding healing, cellular migration and invasion assays, and Western blotting.RESULTS: TGF-β1 inhibits HT-29 cell proliferation, but has no effect on SW480 cell proliferation; different concentrations of TGF-β1 did not induce apoptosis in HT-29 and SW480 cells. PT attenuates TGF-β1-induced elongated, fibroblast-like shape changing in cells. PT inhibits TGF-β1-induced cell migration and cell invasion. In addition, other EMT markers such as β-catenin, Vimentin, Snail, and Slug were suppressed by PT, while E-cadherin was increased by PT.CONCLUSIONS: Our findings show that PT inhibits TGF-β1-induced EMT by suppressing the expression of the mesenchymal protein and increasing expression of the epithelial protein. These findings suggest a novel approach for CRC treatment by suppression of TGF-β1-induced EMT.
Apoptosis ; Blotting, Western ; Cadherins ; Cell Line ; Cell Movement ; Cell Proliferation ; Cell Survival ; Colorectal Neoplasms ; Epithelial-Mesenchymal Transition ; Flow Cytometry ; Gastropoda ; HT29 Cells ; Humans ; Microscopy, Phase-Contrast ; Phosphotransferases ; Snails ; Transforming Growth Factors ; Vimentin ; Wounds and Injuries