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.

Objective To investigate the genetic diversity of sandfly populations in endemic areas of visceral leishmaniasis in China, so as to provide references insights into management of visceral leishmaniasis and the vector sandflies. MethodsSixteen sampling sites were selected from main endemic foci of visceral leishmaniasis in China from June to September 2024, including Shanxi Province, Shaanxi Province, Henan Province, Gansu Province, Sichuan Province, and Xinjiang Uygur Autonomous Region. Sandflies were captured using light traps and manual aspirators from sheep pens, chicken coops, cave dwellings, bovinesheds, and pig pens at each sampling site. A single sandfly sample was washed in phosphate-buffered saline (PBS), and genomic DNA was extracted from sandfly samples. Cytochrome oxidase subunit 1 (COI) gene was amplified using PCR assay with universal primers, and analyzed and retrieved with the nucleotide sequence analysis tool (BLAST) software, and the sequence of COI gene was aligned with the ClustalX 1.83 and MEGA 7.0 software. The base composition and variation site of the COI gene sequence were analyzed using the software MEGA 7.0, and the number of haplotypes, total number of segregating sites, haplotype diversity, nucleotide diversity, and average nucleotide differences were calculated in the COI gene sequence using the software DnaSP 5.10, followed by Tajima’s D test for neutrality. Haplotypes were screened using the software DnaSP 5.10, and the haplotype network map of sandfly samples was plotted using the software Network 5.0. MEGA 7.0 software was employed for gene sequence editing and alignment, and calculation of genetic distances among sandfly species sampled from different regions, and a phylogenetic tree was built with a neighbor-joining method. Results A total of 466 sandflies were captured from 16 sampling sites in China from June to September 2024, and 430 gene sequences were yielded following PCR amplification and sequencing of the COI gene, with 652 to 688 bp in the length of amplification fragments. The captured sandfly samples were characterized as Phlebotomus chinensis, Sergentomyia squamirostris, Se. koloshanensis, Ph. sichuanensis, and Ph. longiductus following the COI gene sequence alignment in BLAST. A total of 251 haplotypes were identified in the 430 gene sequences from sandfly samples (50.5%), and the average haplotype diversity, nucleotide diversity and average number of nucleotide difference were 0.885, 0.257 and 160.761, respectively. The Tajima’s D values were -0.92 for sandfly populations from Yangquan City, Shanxi Province and -1.73 for sandfly populations from Sanmenxia City, Henan Province, and were all more than 0 for sandfly populations from other sampling sites. Haplotype analysis identified 50 haplotypes, which were classified into two haplogroups. Heplogroup 1 included 29 haplotypes, which had a high homology, and heplogroup 2 included 21 haplotypes. The average genetic distance was 0.000 to 0.604 among sandfly samples from different sampling sites, and phylogenetic analysis revealed that the five sandfly species were clustered into distinct clades, all with 100% clade confidence. Conclusions There is a high genetic polymorphism in the COI gene from five sandfly populations in main endemic foci of visceral leishmaniasis in China, and COI gene may serve as a marker gene for analysis of the genetic structure of sandfly populations.

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

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Objective To investigate the prevalence of parasitic infections in market-sold aquatic products in Shanghai Municipality, and to understand the knowledge and practice towards food-borne parasitic diseases among residents, so as to provide insights into the surveillance and control of food-borne parasitic diseases. Methods Freshwater products, seawater products and pickled products were randomly obtained from agricultural trade markets, supermarkets, retail stores and restaurants in Huangpu, Putuo, Minhang and Qingpu districts of Shanghai Municipality from 2020 to 2023. Parasite metacercariae and larvae were detected in these aquatic products using pressing method, digestion method and the dissection method, and the detection of parasitic infection was compared in different types of aquatic products. In addition, the knowledge and practice towards food-borne parasitic diseases were investigated among residents aged 10-80 years old who randomly selected from agricultural trade markets, supermarkets, community streets and other population concentration areas in these four districts by questionnaire in 2023, and the awareness of food-borne parasitic diseases knowledge and percentage of healthy behaviors formation were analyzed. Results A total of 2 109 aquatic products sampled from Huangpu, Putuo, Minhang and Qingpu districts of Shanghai Municipality from 2020 to 2023 were detected, and there were 317 products detected with parasitic infections, with an overall detection rate of 15.03%. There were 8 products detected with parasitic infections in 1 221 freshwater products, with a detection rate of 0.66%, and Clonorchis sinensis was the predominant parasite, which was detected in Pseudorasbora parva, Rhodeus amarus and Carassius auratus. There were 82 products detected with parasitic infections in 501 seawater products, with a detection rate of 16.37%, and Anisakis was the predominant parasite, which was detected in Trichiurus lepturus, Larimichthys polyactis, Pneumatophorus japonicus, Collchthys lucidus, Mugil cephalus, Larimichthys crocea, Scomberomorus niphonius, Stromateoides argenteus and Cololabis saira. There were 227 products detected with parasitic infections in 387 pickled products, with a detection rate of 58.66%, and the prevalence rates of Echinostoma metacercariae were 76.27% (225/295) in Bullacta exarata and 11.11% (2/18) in crab pastes, respectively (χ² = 159.511, P < 0.05). No Paragonimus infection was found in freshwater shrimps, crabs and pickled products, and no Diphyllobothrium latum larvae infection was detected in freshwater and seawater fish. Questionnaire surveys showed that the awareness of food-borne parasitic diseases knowledge was 79.00% (222/281), and the percentages of washing hands before and after meals, not drinking filtered water or tap water directly, not eating raw or semi-raw food, being willing to change special dietary preferences or bad living habits for health, and being willing to learn more about food-borne parasitic diseases knowledge were 99.64% (280/281), 72.24% (203/281), 56.23% (158/281), 96.80% (272/281) and 97.51% (274/281) among residents living in Huangpu, Putuo, Minhang and Qingpu districts, respectively. Conclusions There are food-borne parasite contaminations in market-sold aquatic products in Shanghai Municipality. Although residents are aware of food-borne parasitic diseases knowledge, sustainable surveillance of food-borne parasitic diseases and improved health education are required to minimize the risk of human parasitic infections.

Plastic surgery is characterized by high degree of specialization, a broadscope of diseases inclusion and rapid advancements in knowledge. It is closely related to many disciplines, and there is great heterogeneity among different patients, which requires comprehensive abilities of doctors. However, plastic surgery teaching in China is currently marked by a short training cycle, a uniform training mode, and students’ time constraints and heavy tasks. Chat generative pre-trained transformer (ChatGPT), a large-scale language model introduced by the artificial intelligence company OpenAI, can use deep learning technology to generate natural language texts, understand the context of a conversation and then generate responses similar to those of humans, and is widely used in various industries, including the medical field. This review began by identifying the current challenges in plastic surgery teaching, introduced potential applications of ChatGPT in the field, and outlined its advantages. It also discussed the limitations and potential future directions for its development.

Plastic surgery is characterized by high degree of specialization, a broadscope of diseases inclusion and rapid advancements in knowledge. It is closely related to many disciplines, and there is great heterogeneity among different patients, which requires comprehensive abilities of doctors. However, plastic surgery teaching in China is currently marked by a short training cycle, a uniform training mode, and students’ time constraints and heavy tasks. Chat generative pre-trained transformer (ChatGPT), a large-scale language model introduced by the artificial intelligence company OpenAI, can use deep learning technology to generate natural language texts, understand the context of a conversation and then generate responses similar to those of humans, and is widely used in various industries, including the medical field. This review began by identifying the current challenges in plastic surgery teaching, introduced potential applications of ChatGPT in the field, and outlined its advantages. It also discussed the limitations and potential future directions for its development.

Based on the perspective of medical equipment safety culture,analyze the Global Patient Safety Report 2024 released by the World Health Organization(WHO)on May 30,and extract patient safety elements related to medical devices.Propose to initiate action plan for patient safety related to medical devices and discuss the pathway and measures to further ensure patient safety and strengthen safety management in the clinical use of medical devices,in conjunction with promoting high-quality development of hospitals.

OBJECTIVES: To investigate the mechanism of luteolin for inhibiting proliferation of lung cancer A549 cells. METHODS: A549 cells treated with different concentrations of luteolin for 48 h were evaluated for changes in cell viability, proliferation, reactive oxygen species (ROS) production and apoptosis using MTT assay, plate cloning assay, EdU staining, DCFH-DA assay and Hoechst33258 staining. The changes in cell autophagy were examined with MDC staining, and the expressions of apoptosis-related proteins (Bax, Bcl-2, and cleaved caspase-9), autophagy-related proteins (LC3B, Beclin 1, and P62), AKT/mTOR pathway proteins, and HO-1 protein were detected using Western blotting. RESULTS: Treatment with luteolin dose-dependently inhibited the viability and proliferation of A549 cells, increased intracellular ROS levels, up-regulated the expressions of Bax, cleaved caspase-9, and Beclin 1, increased the LC3B-II/LC3B-I ratio, down-regulated the expressions of Bcl-2 and P62, and induced cell apoptosis and autophagy. Luteolin also significantly inhibited the phosphorylation of AKT and mTOR and down-regulated the expression of HO-1 protein in the cells. CONCLUSIONS Luteolin induces apoptosis and autophagy to inhibit proliferation of A549 cells by increasing ROS production, inhibiting the AKT/mTOR pathway and down-regulating HO-1 protein expression.
Humans ; TOR Serine-Threonine Kinases/metabolism* ; A549 Cells ; Reactive Oxygen Species/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Cell Proliferation/drug effects* ; Signal Transduction/drug effects* ; Lung Neoplasms/pathology* ; Apoptosis/drug effects* ; Luteolin/pharmacology* ; Autophagy/drug effects* ; Heme Oxygenase-1/metabolism* ; Cell Survival/drug effects*

Ticks are the second most harmful infectious agent in the world after mosquitoes and can transmit a variety of pathogens. The surveillance of pathogen in ticks is one of the important means for the prevention and control of tick-borne diseases and tick-borne pathogens. This paper reviewed the literature published in the past two decades on the principles， advantages， disadvantages and applications of current tick pathogen detection technologies. The paper introduced the development and application of various PCR technologies， and looks forward to the future direction. Finally， it points out that metagenomics represented by high-throughput sequencing will become the mainstream development direction of pathogen detection technology in the future.