Objective To investigate the factors affecting the distribution of Pomacea and project the trends in the spread of suitable distribution areas of Pomacea in 2050 and 2070 in Dali Bai Autonomous Prefecture, so as to provide insights into Pomacea control in the prefecture. Methods The longitudes and latitudes of Pomacea sampling sites were captured based on Pomacea field survey data in 12 cities (counties) of Dali Bai Autonomous Prefecture from 2023 to 2024. A total of 19 climatic factors (annual mean temperature, mean diurnal range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the coldest month, temperature annual range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the warmest month, mean temperature of the coldest month, annual precipitation, precipitation of the wettest month, precipitation of the driest month, precipitation seasonality, precipitation of the wettest quarter, precipitation of the driest quarter, mean temperature of the warmest quarter, and mean temperature of the coldest quarter) and representative concentration pathways (RCPs) were retrieved from the world climate database (www.worldclim.org). All climatic variables were employed to create a maximum entropy (MaxEnt) model. The predictive accuracy of the model was assessed with the area under the receiver operating characteristic (ROC) curve (AUC), and the contributions of these 19 climatic factors to the distribution of Pomacea were analyzed in Dali Bai Autonomous Prefecture using Jackknife test. In addition, the suitable distribution areas of Pomacea were predicted with the MaxEnt model in Dali Bai Autonomous Prefecture in 2024 and in 2050 and 2070 under RCP4.5. Results Data pertaining to 91 Pomacea sampling sites were captured. ROC analysis revealed the MaxEnt model had an AUC value of 0.885 ± 0.088 for predicting the suitable distribution areas of Pomacea in Dali Bai Autonomous Prefecture. Of the 19 climatic factors, the maximum temperature of the warmest month had the highest contribution to the distribution of Pomacea in Dali Bai Autonomous Prefecture, followed by mean temperature of the driest quarter, mean temperature of the wettest quarter and minimum temperature of the coldest month. The suitable distribution area of Pomacea was predicted to be 14 555.69 km² in Dali Bai Autonomous Prefecture in 2024, and would expand gradually to the southeastern part of the prefecture in the future due to climatic factors. The suitable distribution areas of Pomacea were projected to expand to 21 475.61 km² in 2050 and 25 782.52 km² in 2070 in Dali Bai Autonomous Prefecture, respectively. Conclusions Temperature is an important contributor to the distribution of Pomacea in Dali Bai Autonomous Prefecture, and the suitable distribution area of Pomacea will gradually expand to the southeastern part of the prefecture in 2050 and 2070.

Background With the progression of industrialization, an increasing number of emerging contaminants are entering aquatic environments, posing significant threats to the safety of drinking water. Therefore, establishing a system for identifying unknown hazardous factors and implementing safety warning mechanisms for drinking water is of paramount importance. Among these efforts, non-target screening plays a critical role, but its effectiveness is largely constrained by the scope of coverage of sample pre-treatment methods. Objective To integrate modern chromatography/mass spectrometry techniques with advanced data mining methods to develop a non-discriminatory sample pre-treatment method for comprehensive enrichment of unknown contaminants in drinking water, laying a technical foundation for the discovery and identification of unknown organic hazardous factors in drinking water. Methods A non-discriminatory pre-treatment method based on supramolecular and solid-phase extraction was developed. The final target compounds including 333 pesticides, 194 pharmaceuticals and personal care products (PPCPs), and 59 per- and polyfluoroalkyl substances (PFASs) were used for optimizing the pre-treatment method, confirming its coverage. The impacts of different eluents on the absolute recovery rates of target compounds were compared to select the conditions with the highest recovery for sample pre-treatment. The effects of different supramolecular solvents and salt concentrations on target compound recovery were also evaluated to determine the most suitable solvent and salt concentration. Results The solid-phase extraction elution solvents, supramolecular extraction solvents, and salt concentrations were optimized based on the target compound recovery rates. The optimal recovery conditions were achieved using 2 mL methanol, 2 mL methanol (containing 1% formic acid), 2 mL ethyl acetate, 2 mL dichloromethane, hexanediol supramolecular solvent, and 426 mg salt. The detection method developed based on these conditions showed a good linear relationship for all target compounds in the range of 0.1-100.0 ng·mL⁻¹, with R² > 0.99. The method’s limit of detection ranged from 0.01 ng⁻¹ to 0.95 ng⁻¹, and 95% of target compounds were recovered in the range of 20%-120%, with relative standard deviation (RSD) less than 30%, indicating good precision. Conclusion The combined pre-treatment method of solid-phase extraction and supramolecular solvent extraction can effectively enrich contaminants in drinking water across low, medium, and high polarities, enabling broad-spectrum enrichment of diverse trace contaminants in drinking water. It provides technical support for broad-spectrum, high-throughput screening and identification of organic pollutants in drinking water, and also serves as a reference for establishing urban drinking water public safety warning systems.

BACKGROUND: Death burden of stroke is severe with over one-third rural residents in China, but there is still a lack of specific national and high-quality reports on the urban-rural differences in stroke burden, especially for subtypes. We aimed to update the understanding of urban-rural differences in stroke deaths. METHODS: This is a descriptive observational study. Data from the national mortality surveillance system, which covers 323.8 million with 605 disease surveillance points (DSPs) across all 31 provinces, municipalities, and autonomous regions in China. All deaths from stroke as the underlying cause from 2015 to 2020 according to DSPs. Crude mortality rate and age-standardized mortality rate (ASMR) were estimated through DSPs. Average annual percentage change was used to explain the change in mortality rate. RESULTS: From 2015 to 2020, the majority of deaths from all stroke subtypes occurred in rural areas. There were significant differences between the changes of urban and rural ASMRs. On the whole, the changes in urban areas were evidently better, and the ASMR differences were basically expanding. Stroke ASMR in urban China decreased by 15.5%. The rural ASMR of ischemic stroke increased by 12.9%. The rural and urban ASMRs of intracerebral hemorrhage decreased by 24.9% and 27.4%, and those of subarachnoid hemorrhage decreased by 29.5% and 40.4%, respectively. The highest ASMRs of all stroke subtypes and the increasing trend of ischemic stroke ASMR make rural males the focus of stroke management. CONCLUSIONS The death burden of stroke varies greatly between urban and rural China. Rural residents face unique challenges.
Humans ; China/epidemiology* ; Stroke/mortality* ; Rural Population/statistics & numerical data* ; Male ; Female ; Urban Population/statistics & numerical data* ; Middle Aged ; Aged ; Aged, 80 and over ; Adult

Natural medicines (NMs) demonstrate distinct advantages in the clinical management of chronic diseases. Recent years have seen growing recognition of the gut microbiota's role in the efficacy and synergy of NMs, providing new impetus for elucidating the material basis and mechanisms of NMs and their path toward modernization. A fundamental question that has emerged is how NM-microbiota interactions integrate into the multi-target holistic mechanisms of NMs, the answer to which may also illuminate new avenues for drug discovery. Metabolic regulation via small-molecule metabolites has been increasingly implicated in host-microbe interaction. This review presents an integral metabolic perspective on NMs-microbiota interaction in host health and disease. It highlights the emerging understanding of gut microbiota-related metabolic signals implicated in NM components' local and systemic actions. Additionally, it discusses key issues and prospects related to drug development and the translational study of NMs.
Gastrointestinal Microbiome/drug effects* ; Humans ; Biological Products/metabolism* ; Animals

Objective To investigate the effect and mechanism of Nuanxinkang on plaque formation in obstructive sleep apnea-hypopnea syndrome(OSAHS)comorbid with atherosclerosis(AS)mice by inhibiting endothelial-to-mesenchymal transition(EndMT).Methods Male ApoE-/-mice were randomly divided into six groups:control group,model group,atorvastatin group(2.6 mg·kg-1)and Nuanxinkang low-,medium-and high-dose groups(crude drug 3.5,7.0,14.0 g·kg-1),with eight mice in each group.The mice were exposed to chronic intermittent hypoxia(CIH)environment during sleep for a long time,and fed with high-fat diet to replicate OSAHS comorbid with AS mouse model.Oil red O staining was used to observe the formation of plaque on aortic intima in mice.Masson trichrome staining was used to evaluate the collagen content of atherosclerotic plaques in the aortic root of mice.The expressions of endothelial cell marker CD31 and EndMT marker Vimentin in aortic plaque were detected by immunofluorescence.Blood lipid levels were determined by ELISA;the mRNA expression levels of EndMT markers α-SMA and Cdh2 in aortic tissue were detected by qPCR.Results Compared with the control group,the area of aortic atherosclerotic plaque in the model group was significantly increased(P＜0.01),and the area of collagen deposition in the aortic root plaque was significantly increased(P＜0.01).The number of CD31 positive cells in the plaque were significantly decreased(P＜0.01),and the number of Vimentin positive cells were significantly increased(P＜0.01).Serum TG,T-CHO and LDL-C levels were significantly increased(P＜0.01),and HDL-C level was significantly decreased(P＜0.01).The mRNA expression levels of α-SMA and Cdh2 in aortic tissue were significantly increased(P＜0.01).Compared with the model group,the area of aortic atherosclerotic plaque in Nuanxinkang groups were significantly reduced(P＜0.05,P＜0.01),and the collagen deposition area of aortic root atherosclerotic plaque were significantly reduced(P＜0.05,P＜0.01).The number of CD31 positive expression cells in the plaque of Nuanxinkang high-dose group were significantly increased(P＜0.05),and the number of Vimentin positive expression cells in the plaque of Nuanxinkang medium-and high-dose groups were significantly decreased(P＜0.05,P＜0.01).The serum TG level of mice in the high-dose group of Nuanxinkang was significantly decreased(P＜0.01).The serum T-CHO and LDL-C levels of mice in each Nuanxinkang administration group were significantly decreased(P＜0.05,P＜0.01).The serum HDL-C levels of mice in the medium-and high-dose groups of Nuanxinkang were significantly increased(P＜0.01).The mRNA expression levels of α-SMA and Cdh2 in aortic tissue of mice in each treatment group were significantly decreased(P＜0.01).Conclusion Nuanxinkang can effectively reduce the plaque formation in OSAHS comorbid with atherosclerosis mice,which may be related to its inhibition of EndMT and reduction of collagen fiber formation.

Objective:To systematically review the risk prediction models for cognitive impairment in stroke patients, aiming to provide references for clinical healthcare professionals in selecting or constructing high-quality risk assessment tools.Methods:A computerized search was conducted in PubMed, Embase, Web of Science, OVID, Cochrane Library, SinoMed, CNKI, Wanfang Database, and VIP to identify studies related to risk prediction models for cognitive impairment in stroke patients. The search was limited to articles published up to August 1, 2023. Two researchers independently screened the literature, extracted data, and assessed the risk of bias and applicability of the included studies using PROBAST.Results:A total of 26 articles were included. The applicability of the studies was generally good, but all studies had some degree of bias risk, mainly arising from unreasonable study designs, inappropriate time intervals between predictor assessment and outcome determination, insufficient sample sizes, unreasonable handling of continuous variables, omission of missing data, lack of reporting of calibration, and overfitting of the models. Meta-analysis results showed that age ( OR=0.05, 95% CI: 0.033-0.057), education level ( OR=-0.13, 95% CI: -0.171 - -0.082), history of diabetes ( OR=2.32, 95% CI: 1.867-2.881), history of hypertension ( OR=0.67, 95% CI: 0.420-0.918), and NIHSS score ( OR=0.40, 95% CI: 0.331-0.469) were factors for cognitive impairment in stroke patients. Conclusions:While various risk prediction models for cognitive impairment in stroke patients exist, they suffer from methodological flaws and high bias risks, with some commonalities and controversies in predictors. Future research should adhere to the principles of transparent reporting of individual prognosis or diagnosis of multivariate prediction models, develop localized prediction models with low bias risk and good applicability, and conduct internal and external validations to demonstrate their applicability and feasibility in clinical practice.

In order to understand the prevalence and genetic variation of H9N2 subtype avian influ-enza virus in Shandong,a total 492 tracheal and lung tissue samples collected from chicken farms with respiratory symptoms in partial areas in Shandong were detected by H9 subtype AIV real-time RT-PCR,and the positive samples were inoculated with chicken embryos for two generations.Whole genome sequences of the positive strains by applying Illumina Miaseq platform,and genetic evolution and mutation at positions associating with viral pathogenicity and transmissibility were analyzed.The results showed that there were 72 samples were positive for H9 subtype AIV among the 492 samples,with a positive rate of 14.63％.Thirty-four strains of H9 subtype AIV were ob-tained from the positive samples after passing through chicken embryo,meanwhile,the 34 isolates were all H9N2 subtype AIV by whole genome sequencing analysis.By analyzing the evolutionary tree of HA and NA genes,HA and NA genes of the 34 H9N2 AIV strains belonged to Y280-like branch and F/98-like branch,respectively.Meanwhile,based on above branches,there were obvious time node subbranch,which one was"isolates before 2013",another one was"isolates after 2013".The HA cleavage sites of thirty-four H9N2 strains were all 325PSRSSR↓GLF333,which met the se-quence characteristics of the lowly pathogenic avian influenza virus,and the HA receptor binding site 226 amino acid was leucine,which had the characteristics of blinding to a-2,6 mammalian sialic acid receptors.Among the internal amino acid sites that are key to mammalian adaptation,all strains had an I368V mutation in the PB1 gene that enhanced viral transmissibility in mammals and the PB2 genes of some strains were mutated to enhance the mammalian adaptation of I292 V and A588 V.The above results illustrated that the H9N2 subtype AIV gene segments in Shandong have different degrees of recombination and gene variation,so it is necessary to strengthen the monito-ring of virus variation.

Objective:To analyze the impact of cecal ligation and puncture (CLP)-induced sepsis on the proliferation and differentiation of intestinal epithelial cells.Methods:① Animal experiment: sixteen male C57BL/6 mice were divided into sham operation group (Sham group) and CLP-induced sepsis model group (CLP group) by random number table method, with 8 mice in each group. After 5 days of operation, the jejunal tissues were taken for determination of leucine-rich-repeat-containing G-protein-coupled receptor 5 (LGR5) and intestinal alkaline phosphatase (IAP) by polymerase chain reaction (PCR). The translation of LGR5 was detected by Western blotting. The expression of proliferating cell nuclear antigen (Ki67) was analyzed by immunohistochemistry. IAP level was detected by modified calcium cobalt staining and colorimetry. Immunofluorescence staining was used to detect the expression of Paneth cell marker molecule lysozyme 1 (LYZ1) and goblet cell marker molecule mucin 2 (MUC2). ② Cell experiment: IEC6 cells in logarithmic growth stage were divided into blank control group and lipopolysaccharide (LPS) group (LPS 5 μg/mL). Twenty-four hours after treatment, PCR and Western blotting were used to analyze the transcription and translation of LGR5. The proliferation of IEC6 cells were detected by 5-ethynyl-2'-deoxyuridine (EdU) staining. The transcription and translation of IAP were detected by PCR and colorimetric method respectively.Results:① Animal experiment: the immunohistochemical results showed that the positive rate of Ki67 staining in the jejunal tissue of CLP group was lower than that of Sham group [(41.7±2.5)% vs. (48.7±1.4)%, P = 0.01]. PCR and Western blotting results showed that there were no statistical differences in the mRNA and protein expressions of LGR5 in the jejunal tissue between the CLP group and Sham group (Lgr5 mRNA: 0.7±0.1 vs. 1.0±0.2, P = 0.11; LGR5/β-actin: 0.83±0.17 vs. 0.68±0.19, P = 0.24). The mRNA (0.4±0.1 vs. 1.0±0.1, P < 0.01) and protein (U/g: 47.3±6.0 vs. 73.1±15.3, P < 0.01) levels of IAP in the jejunal tissue were lower in CLP group. Immunofluorescence saining analysis showed that the expressions of LYZ1 and MUC2 in the CLP group were lower than those in the Sham group. ②Cell experiment: PCR and Western blotting results showed that there was no significant difference in the expression of LGR5 between the LPS group and the blank control group (Lgr5 mRNA: 0.9±0.1 vs. 1.0±0.2, P = 0.33; LGR5/β-actin: 0.71±0.18 vs. 0.69±0.04, P = 0.81). The proliferation rate of IEC6 cells in the LPS group was lower than that in the blank control group, but there was no significant difference [positivity rate of EdU: (40.5±3.8)% vs. (46.5±3.6)%, P = 0.11]. The mRNA (0.5±0.1 vs. 1.0±0.2, P < 0.01) and protein (U/g: 15.0±4.0 vs. 41.2±10.4, P < 0.01) of IAP in the LPS group were lower than those in the blank control group. Conclusion:CLP-induced sepsis inhibits the proliferation and differentiation of intestinal epithelial cells, impairing the self-renewal ability of intestinal epithelium.

Objective:Osteosarcoma is a highly aggressive primary malignant bone tumor commonly seen in children and adolescents,with a poor prognosis.Anchorage-dependent cell death(anoikis)has been proven to be indispensable in tumor metastasis,regulating the migration and adhesion of tumor cells at the primary site.However,as a type of programmed cell death,anoikis is rarely studied in osteosarcoma,especially in the tumor immune microenvironment.This study aims to clarify prognostic value of anoikis and tumor immune microenvironment-related gene in the treatment of osteosarcoma. Methods:Anoikis-related genes(ANRGs)were obtained from GeneCards.Clinical information and ANRGs expression profiles of osteosarcoma patients were sourced from the therapeutically applicable research to generate effective therapies and Gene Expression Omnibus(GEO)databases.ANRGs highly associated with tumor immune microenvironment were identified by the estimate package and the weighted gene coexpression network analysis(WGCNA)algorithm.Machine learning algorithms were performed to construct long-term survival predictive strategy,each sample was divided into high-risk and low-risk subgroups,which was further verified in the GEO cohort.Finally,based on single-cell RNA-seq from the GEO database,analysis was done on the function of signature genes in the osteosarcoma tumor microenvironment. Results:A total of 51 hub ANRGs closely associated with the tumor microenvironment were identified,from which 3 genes(MERTK,BNIP3,S100A8)were selected to construct the prognostic model.Significant differences in immune cell activation and immune-related signaling pathways were observed between the high-risk and low-risk groups based on tumor microenvironment analysis(all P<0.05).Additionally,characteristic genes within the osteosarcoma microenvironment were identified in regulation of intercellular crosstalk through the GAS6-MERTK signaling pathway. Conclusion:The prognostic model based on ANRGs and tumor microenvironment demonstrate good predictive power and provide more personalized treatment options for patients with osteosarcoma.