Objective: To analyze the surveillance data of schistosomiasis and snail status in Jiaxing City, Zhejiang Province from 2001 to 2024, so as to provide the reference for prevention and control of schistosomiasis in jiaxing City. Methods: Data on schistosomiasis and snail surveillance in Jiaxing City from 2001 to 2024 were collected through schistosomiasis control work reports and the Zhejiang Provincial Schistosomiasis (Parasitic Diseases) Control Information Management System. These data included serological testing results, stool etiological examination (stool examination) results, area surveyed for snails, snail-infested areas, number of snail-positive frames, and number of live snails. Indicators, including the positive rate of serological testing, the positive rate of stool examinations, the rate of snail-positive frames, and the density of live snails were analyzed. The Prophet time series model was employed to forecast the schistosomiasis epidemic in Jiaxing City from 2025 to 2029. Results: A total of 636 493 serological testing were conducted in Jiaxing City from 2001 to 2024, with a positive rate of 1.532%, showing a decreasing trend (P<0.05). Among 7 582 stool examinations, positive cases were all imported, resulting in a positivity rate of 0.066%. During the same period, snail surveys covered a cumulative area of 30 545.999 hm2, with snail-infested areas totaling 69.355 hm2; no significant trend was observed (P>0.05). All snail habitats were identified as recurrent foci within hydrographic network regions, primarily distributed across Xiuzhou District, Nanhu District, Pinghu City, Jiashan County, and Tongxiang City, with snail-infested areas of 39.588, 12.538, 10.728, 4.315, and 2.186 hm2, respectively. From 2009 to 2024, a total of 35 692 134 frames of snails were surveyed, of which 16 543 were snail-positive, yielding a snail-positive frame rate of 0.046%. A total of 33 175 live snails were collected, with a mean density of 0.000 98 snails per frame. No infected Oncomelania snails were detected. The projection results indicated that from 2025 to 2029, the positive rate of serological testing rate in Jiaxing City would range between 0.253% to 0.389%, the snail-infested areas would range from 0.025 to 1.818 hm2, and the density of live snails would vary from 0.001 56 to 0.001 66 snails per frame. None of these indicators showed a significant trend (all P>0.05). Conclusions From 2001 to 2024, the positive rate of serological testing rate of schistosomiasis in Jiaxing City showed a declining trend, with no new autochthonous cases or infected Oncomelania snails detected. However, imported cases were still reported. All identified snail habitats were recurrent foci within hydrographic network regions. It is recommended to enhance schistosomiasis and snail status surveillance in high-risk areas.

OBJECTIVES: To explore the therapeutic effect of LuoFuShan Rheumatism Plaster (LFS) on neuropathic pain (NP) and its molecular mechanism. METHODS: Mouse models of sciatic nerve chronic constriction injury (CCI) were treated with low, medium, and high doses (2.2, 4.4, and 8.8 cm², respectively) of LFS by topical application for 14 consecutive days. The therapeutic effects were assessed by evaluating the mechanical withdrawal threshold (MWT), paw withdrawal latency (PWL), plasma IL-6 and TNF-α levels, and histopathology of the sciatic nerve. Network pharmacology and molecular docking were used to identify the key targets and signaling pathways. The key targets were verified by RT-qPCR and immunohistochemistry. The biosafety of LFS was evaluated by measuring the organ indices and damage indicators of the heart, liver, and kidneys. RESULTS: Compared with the CCI group, LFS dose-dependently increased MWT and PWL, reduced plasma IL-6 and TNF-α levels, and alleviated sciatic nerve inflammation in the mouse models. Network pharmacology identified 378 bioactive compounds targeting 279 NP-associated genes enriched in TLR and TNF signaling. Molecular docking showed that quercetin and ursolic acid in LFS could stably bind to TLR4 and TNF‑α. In the mouse models of sciatic nerve CCI, LFS significantly downregulated the mRNA expression levels of Tlr4 and Tnf-α in the spinal cord in a dose-dependent manner and lowered the protein expressions of TLR4 and TNF-α in the sciatic nerve. LFS treatment did not cause significant changes in the organ indices or damage indicators of the heart, liver and kidneys as compared with those in the CCI model group and sham-operated group. CONCLUSIONS LFS alleviates NP in mice by suppression of TLR4/TNF-α-mediated neuroinflammation with a good safety profile.
Animals ; Toll-Like Receptor 4/metabolism* ; Neuralgia/metabolism* ; Mice ; Signal Transduction/drug effects* ; Tumor Necrosis Factor-alpha/metabolism* ; Drugs, Chinese Herbal/pharmacology* ; Sciatic Nerve/injuries* ; Male ; Molecular Docking Simulation ; Disease Models, Animal ; Interleukin-6

Artificial intelligence-based medical decision-making systems can significantly accelerate decision processes and enhance accuracy.However,challenges persist in achieving personalized care and in the compre-hensive collection of medical data.This paper explores potential solutions to these issues by examining AI ap-plications in diagnostic omics and multi-dimensional data acquisition,providing an overview of current pro-gress and limitations in developing intelligent medical decision systems through these approaches.Additional-ly,the paper also discusses the broad potential for artificial intelligence applications in medical education and their possible contributions to advancing overall decision-making standards in healthcare.

Objective To explore the therapeutic effect of LuoFuShan Rheumatism Plaster(LFS)on neuropathic pain(NP)and its molecular mechanism.Methods Mouse models of sciatic nerve chronic constriction injury(CCI)were treated with low,medium,and high doses(2.2,4.4,and 8.8 cm2,respectively)of LFS by topical application for 14 consecutive days.The therapeutic effects were assessed by evaluating the mechanical withdrawal threshold(MWT),paw withdrawal latency(PWL),plasma IL-6 and TNF-α levels,and histopathology of the sciatic nerve.Network pharmacology and molecular docking were used to identify the key targets and signaling pathways.The key targets were verified by RT-qPCR and immunohistochemistry.The biosafety of LFS was evaluated by measuring the organ indices and damage indicators of the heart,liver,and kidneys.Results Compared with the CCI group,LFS dose-dependently increased MWT and PWL,reduced plasma IL-6 and TNF-α levels,and alleviated sciatic nerve inflammation in the mouse models.Network pharmacology identified 378 bioactive compounds targeting 279 NP-associated genes enriched in TLR and TNF signaling.Molecular docking showed that quercetin and ursolic acid in LFS could stably bind to TLR4 and TNF-α.In the mouse models of sciatic nerve CCI,LFS significantly downregulated the mRNA expression levels of Tlr4 and Tnf-α in the spinal cord in a dose-dependent manner and lowered the protein expressions of TLR4 and TNF-α in the sciatic nerve.LFS treatment did not cause significant changes in the organ indices or damage indicators of the heart,liver and kidneys as compared with those in the CCI model group and sham-operated group.Conclusion LFS alleviates NP in mice by suppression of TLR4/TNF-α-mediated neuroinflammation with a good safety profile.

Objective To explore different construction models and experiences of clinical laboratory centers under exist-ing Integrated county healthservices entity,analyze and discuss the characteristics of various construction models,and provide ref-erences for the development of county-level clinical laboratory centers.Methods Based on the five factors of"man,machine,material,method,and environment"in Total Quality Management theory,an interview outline and questionnaire were designed for county-level clinical laboratory centers.Eleven county-level clinical laboratory centers across the country were investigated to analyze their construction models,investment returns,and other aspects.Literature reviews and case studies were also conducted to summarize the construction models and characteristics of county-level clinical laboratory centers.Results The construction models of county-level clinical laboratory centers are mainly divided into five types,each with distinct features.Through an analy-sis of the investment returns of these models unde rIntegrated county healthservices entity,it was found that a profit distribution ratio of approximately 5∶5 between county-level clinical laboratory centers and township health centers for referred samples is more conducive to maintaining the stability of sample sources.The construction model of county-level clinical laboratory centers is closely related to the medical service capacity of both county and township levels.Conclusion Counties with stronger county hospital capabilities tend to establish relatively independent regional laboratory centers based on the county hospital's laboratory department.Regardless of the model,the primary goal of county-level clinical laboratory centers should be to provide high-quality testing services coverage across the entire county.The key to the success of county-level clinical laboratory centers lies in motiva-ting grassroots personnel.

Objective To explore different construction models and experiences of clinical laboratory centers under exist-ing Integrated county healthservices entity,analyze and discuss the characteristics of various construction models,and provide ref-erences for the development of county-level clinical laboratory centers.Methods Based on the five factors of"man,machine,material,method,and environment"in Total Quality Management theory,an interview outline and questionnaire were designed for county-level clinical laboratory centers.Eleven county-level clinical laboratory centers across the country were investigated to analyze their construction models,investment returns,and other aspects.Literature reviews and case studies were also conducted to summarize the construction models and characteristics of county-level clinical laboratory centers.Results The construction models of county-level clinical laboratory centers are mainly divided into five types,each with distinct features.Through an analy-sis of the investment returns of these models unde rIntegrated county healthservices entity,it was found that a profit distribution ratio of approximately 5∶5 between county-level clinical laboratory centers and township health centers for referred samples is more conducive to maintaining the stability of sample sources.The construction model of county-level clinical laboratory centers is closely related to the medical service capacity of both county and township levels.Conclusion Counties with stronger county hospital capabilities tend to establish relatively independent regional laboratory centers based on the county hospital's laboratory department.Regardless of the model,the primary goal of county-level clinical laboratory centers should be to provide high-quality testing services coverage across the entire county.The key to the success of county-level clinical laboratory centers lies in motiva-ting grassroots personnel.

Tumors pose a serious challenge to global public health. The sensitive and precise detection of tumor biomarkers is very important for early screening and diagnosis of cancers. DNAzymes with outstanding physical, chemical, and biological properties are widely applied in the design of biosensing strategies. By the use of sensing platforms such as fluorescence, electrochemistry, and surface-enhanced Raman scattering, DNAzymes facilitate the early screening and detection of tumors. This article summarizes the functional mechanism and common classifications of DNAzymes, and the updates of DNAzymes-based novel biosensing technologies within the field of liquid biopsy, expecting the technical challenges yet to be surmounted and future developmental directions.

It is of great significance to reposition the development of inspection discipline, vigorously promote the construction of talents and improve the overall scientific quality of industry personnel by training laboratory medicine postgraduate students with the combination strategies of medicine and engineering. Here, a series of explorations and practices was performed in the training process of graduate students in medical and industrial laboratory medicine in our department. This study has adopted a series of training measures for graduate students of laboratory medicine with characteristics of combination of medicine and engineering, including the construction of characteristic training concept, the construction of graduate tutor team, the targeted curriculum, and the exchange study in the institute of engineering. Significant teaching achievements have been made in personnel training and scientific research output, which is of great value for exploring the cultivation of new laboratory medicine professionals.

The application of Raman spectroscopy in the field of laboratory medicine is making continuous progress and development. The biosensor platform based on Raman spectroscopy provides a new means for accurate molecular diagnosis of diseases. In particular, as a fast and non-destructive detection method, surface-enhanced Raman scattering has the advantages of simple sample preparation, little interference from water and real-time detection, and shows great application potential in the field of medical examination. At the same time, with the integration of SERS and other technologies, including electrochemistry, new nano-materials, microfluidic, biochip, DNA nano-machine, artificial intelligence and machine learning, it will play a more and more important role in the field of medical laboratory. With the deepening of SERS research and the cross-integration between multiple disciplines, it will be widely used in biomedical detection and is expected to become an important technology platform for the next generation of precision diagnosis.

ObjectiveTo genotype Oncomelania hupensis， based on microsatellites， in different snail-bearing environments in Jiaxing City， Zhejiang Province， for population genetics analysis in order to explore the reasons and influencing factors for the existence or proliferation of snails and to provide scientific basis for effective monitoring and control of snails. MethodsA total of 90 snail samples from three populations were collected in Yaobang Village （YB） and Sanxing Village （SX） in Pinghu City， and Yunhe Farm （YH） in Xiuzhou District， all were selected for snail checking in key snail habitats of Jiaxing City in 2022. DNA of the snails was genotyped and analyzed for population genetics using nine microsatellite loci. ResultsA total of 84 alleles were observed， and the mean number of alleles （Na） was 7.889， 5.667， and 3.778 for YB， SX， and YH respectively； the number of effective alleles （NeA） was 4.807， 3.329， and 2.294， respectively； and the coefficients of inbreeding （F_IS） were 0.400， 0.377， and 0.493， respectively. Under the Infinite Allele Model （IAM）， the SX and YH might have a recent bottleneck. The NEstimator and LDNe software calculated effective population sizes （Ne） were above 31.9. AMOVA analysis showed that the variation of snails in the three populations mainly existed among individuals， accounting for 41.4% of the total variation. The value of the index of genetic differentiation between populations （F_ST） was 0.286， indicating a high degree of genetic differentiation. The results of the principal component analysis and phylogenetic tree were consistent， and the three populations were divided into two lineages， YB and SX were one lineage， and YH belonged to another independent lineage. Population history and dynamics analysis showed that the gene flow of the three populations was insufficient， population divergence history indicated that YH might have diverged from SX first， and YB was produced by the contact fusion of SX and YH. ConclusionThe genetic diversity of snail populations in Jiaxing City is generally low， and the snail populations are unstable， with a great degree of genetic differentiation and insufficient gene flow among populations. This study can provide a basis for evaluating the effectiveness of the control of the snail as well as monitoring the trend of the spread of the snail.