Objective To investigate the population density and seasonal fluctuations of Aedes albopictus in Guangzhou City, Guangdong Province, from 2021 to 2023, so as to provide insights into A. albopictus control and management of dengue fever. Methods The surveillance of A. albopictus density was performed in all surveillance sites assigned across all streets (townships) in Guangzhou City during the period from January to December from 2021 to 2023. The surveillance frequency was twice every half month from May to September, and once every month for the rest of a year. In each surveillance period, A. albopictus mosquito larvae were captured from indoor and outdoor small water containers in residential areas, parks, medical facilities, schools, other government sectors and social organizations, construction sites, special industries and others for mosquito species identification. Adult mosquitoes were captured using electric mosquito suction apparatus for species identification and gender classification. Adult mosquitoes and mosquito eggs were collected with mosquito and egg traps at the breeding and dwelling places of Aedes mosquitoes for identification. The mosquito oviposition index (MOI), Breteau index (BI), adult mosquito density index (ADI) and standard space index (SSI) were calculated. The A. albopictus density was classified into grades 0, 1, 2 and 3 in each surveillance site, with Grade 0 density defined eligible, and the eligible rate of A. albopictus density was calculated at all surveillance sites each year from 2021 to 2023. In addition, the changing trends in MOI, SSI, BI and ADI of A. albopictus were analyzed in Guangzhou City from 2021 to 2023. Results The eligible rates of A. albopictus density were 61.69%, 68.75% and 55.15% in surveillance sites of Guangzhou City from 2021 to 2023 (χ² = 297.712, P < 0.001), and appeared a tendency towards a reduction followed by a rise each year, which gradually reduced since January, maintained at a low level during the period between May and October, and gradually increased from November to December. The MOI, SSI, BI and ADI of A. albopictus all appeared a tendency towards a rise followed by a reduction in Guangzhou City during the period between January and December from 2021 to 2023. The BI of A. albopictus peaked in the first half of June in 2021 (4.03), the first half of July in 2022 (3.89) and the last half of August in 2023 (5.02), and the SSI of A. albopictus peaked in the last half of June in 2021 (0.93), the last half of May in 2022 (0.59), and the last half of June (0.94) and the first half of September in 2023 (1.12). In addition, the MOI of A. albopictus peaked in the first half of May in 2021 (8.64), the first half of June in 2022 (8.96), and the last half of May (10.21) and the last half of June in 2023 (10.89), and the ADI of A. albopictus peaked in the first half of June in 2021 (3.41), the last half of June in 2022 (4.06), and the first half of July in 2023 (3.61). Conclusions The density of A. albopictus is high in Guangzhou City during the period from May to October, and the risk of local outbreak caused by imported dengue fever is high. Persistent intensified surveillance of the density and seasonal fluctuation of A. albopictus is recommended and timely mosquito prevention and control is required according to the fluctuation in the A. albopictus density.

This review aimed to provide a comprehensive analysis of the etiology, epidemiology, pathology, and conventional treatment of heterotopic ossification (HO), especially emerging potential therapies. HO is the process of ectopic bone formation at non-skeletal sites. HO can be subdivided into two major forms, acquired and hereditary, with acquired HO predominating. Hereditary HO is a rare and life-threatening genetic disorder, but both acquired and hereditary form can cause severe complications, such as peripheral nerve entrapment, pressure ulcers, and disability if joint ankylosis develops, which heavily contributes to a reduced quality of life. Modalities have been proposed to treat HO, but none have emerged as the gold standard. Surgical excision remains the only effective modality; however, the optimal timing is controversial and may cause HO recurrence. Recently, potential therapeutic strategies have emerged that focus on the signaling pathways involved in HO, and small molecule inhibitors have been shown to be promising. Moreover, additional specific targets, such as small interfering RNAs (siRNAs) and non-coding RNAs, could be used to effectively block HO or develop combinatorial therapies for HO.
Humans ; Ossification, Heterotopic/genetics*

ObjectiveTo observe the clinical efficacy of Gandou Fumu Granules （GDFMG） combined with sodium dimercaptosulphonate （DMPS） on liver fibrosis in Wilson disease （WD） patients with the syndrome of phlegm and blood stasis， evaluate its effect on cuproptosis-related indicators， and explore the possible mechanisms of cuproptosis in WD-related liver fibrosis. MethodsSixty WD patients diagnosed with the syndrome of phlegm and blood stasis between January 2023 and December 2023 were randomly divided into a control group and an observation group， with 30 patients in each group. The control group received the copper chelator DMPS for the first 6 days， followed by calcium gluconate injection for the next 2 days， completing an 8-day treatment cycle. The observation group received GDFMG in addition to the treatment regimen of the control group， with both groups treated for 21 cycles. A Beckman fully automated biochemical analyzer was used to detect levels of type Ⅳ collagen （CⅣ）， hyaluronic acid （HA）， laminin （LN）， N-terminal propeptide of type Ⅲ procollagen （PⅢ-NP）， and serum copper （SCu） before and after treatment in both groups. Enzyme-linked immunosorbent assay （ELISA） was used to measure levels of ferredoxin 1 （FDX1）， lipoic acid synthetase （LIAS）， and dihydrolipoamide S-acetyltransferase （DLAT）. Atomic absorption spectroscopy measured 24-hour urine copper levels before treatment and after the 7， 14， and 21 treatment cycles in both groups. An Fibro Touch （FT） non-invasive liver fibrosis diagnostic device was used to measure liver stiffness （LSM） in both groups before and after treatment. Traditional Chinese medicine syndrome score （TCMSS） was evaluated at the same intervals. Clinical efficacy， adverse events， and safety indicators were also compared. ResultsAfter treatment， levels of CⅣ， HA， LN， and PⅢNP significantly decreased in both groups compared to pre-treatment levels （P<0.01）. The observation group showed a more pronounced reduction compared to the control group （P<0.05）. There were no statistically significant differences in SCu levels in both groups before and after treatment. After treatment， levels of FDX1，LIAS and DLAT significantly increased in both groups（P<0.01）. The observation group showed more notable improvements in these indicators than the control group （P<0.05）. After the 7， 14， 21 treatment cycles， 24-hour urine copper levels significantly increased in both groups compared to pre-treatment levels （P<0.01）. The observation group had a greater increase in 24-hour urine copper levels than the control group after treatment （P<0.05，P<0.01）， and although 24-hour urine copper levels increased after 7 cycles， a gradual decline was observed in subsequent cycles. After treatment， LSM levels significantly decreased in both groups compared to pre-treatment levels （P<0.01）， with the observation group showing a greater reduction than the control group （P<0.05）. Clinical efficacy was significantly better in the observation group than the control group （P<0.05）. No significant differences in the incidence of adverse events or safety indicators were observed between the two groups after treatment. ConclusionGDFMG combined with DMPS can reduce LSM in WD patients with liver fibrosis and the syndrome of phlegm and blood stasis， inhibit cuproptosis， and improve clinical efficacy.

ObjectiveTo investigate the mechanisms by which the combination of berberine （BBR） and baicalin （BAI） ameliorates type 2 diabetes mellitus （T2DM） due to internal accumulation of dampness-heat from the perspectives of gut microbiota and metabolomics. MethodsAntibiotics were used to induce pseudo-sterile mice. Thirty pseudo-sterile mice were randomized into a normal fecal microbiota transplantation group （n=10） and a T2DM （syndrome of internal accumulation of dampness-heat） fecal microbiota transplantation group （n=20）. The mice were then administrated with suspensions of fecal microbiota from healthy volunteers and a patient with T2DM due to internal accumulation of dampness-heat by gavage， respectively. Each mouse received 200 µL suspension every other day for a total of 15 times to reshape the gut microbiota. The T2DM model mice were then assigned into a model group （n=8） and a BBR-BAI group （n=11）. BBR was administrated at a dose of 200 mg·kg^-1， and BAI was administrated in a ratio of BBR-BAI 10∶1 based on preliminary research findings. The administration lasted for 8 consecutive weeks. Fasting blood glucose （FBG）， glycated hemoglobin （HbA1c）， insulin （INS）， triglycerides （TG）， total cholesterol （CHOL）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） levels were measured to evaluate the effects of the BBR-BAI combination on glucose and lipid metabolism and liver function in T2DM mice. Hematoxylin-eosin staining was employed to observe pathological changes in the colon tissue. The expression of claudin-1， zonula occludens-1 （ZO-1）， and occludin in the colon tissue was determined by Western blot. Real-time quantitative polymerase chain reaction（Real-time PCR） was employed to assess the levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in the colon tissue. The fecal microbiota composition and differential metabolites were analyzed by 16S rRNA sequencing and ultra-high performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry （UPLC-Q-TOF-MS）， respectively. ResultsThe BBR-BAI combination lowered the FBG， HbA1c， and INS levels （P<0.05， P<0.01） and alleviated insulin resistance （P<0.01） in T2DM mice. Additionally， BBR-BAI elevated the levels of ZO-1， occludin， and claudin-1 （P<0.05， P<0.01） and down-regulated the expression levels of TNF-α， IL-1β， and IL-6 in the colon （P<0.05， P<0.01）. The results of 16S rRNA sequencing showed that BBR-BAI increased the relative abundance of Ligilactobacillus， Phascolarctobacterium， and Akkermansia （P<0.05）， while significantly decreasing the relative abundance of Alistipes， Odoribacter， and Colidextribacter （P<0.05）. UPLC-Q-TOF-MS identified 28 differential metabolites， which were primarily involved in arachidonic acid metabolism and α-linolenic acid metabolism. ConclusionBBR-BAI can ameliorate T2DM due to internal accumulation of dampness-heat by modulating the relative abundance of various bacterial genera in the gut microbiota and the expression of fecal metabolites.

Objective:To assess the feasibility and security the orientation of foreign bodies using a portable X-ray machine in computer-aided navigation surgery.Methods:A model with a metallic foreign body was constructed.Under the fluoroscopy of a portable X-ray machine,4 points on 2 straight lines passing through the tip of the foreign body were recorded by the navigation e-quipment,and subsequently,the midpoints of the common perpendicular segments of the 2 lines were calculated as the coordinates of the foreign body(Bilinear Method).2 operators measured the coordinates of the foreign body 10 times and compared the measured coordinates of the foreign body with the actual coordinates of the foreign body in order to analyze the accuracy of the Bilinear Method.Radiation doses to model area and operators at different locations were measured using ionizing radiation detectors.Results:The ac-curacy of the Bilinear Method for measuring foreign body coordinates was(1.98±0.77)mm,and that of the 2 operators was 1.55±0.68 and 2.40±0.36 respectively(P=0.02).The radiation dose was(221.45±50.15)μSv in the model and(4.44±1.35)μSv in the operator's chest.Conclusion:The accuracy of the coordinates of the foreign body intraoperation measured by Bilinear Method meets general clinical needs,and different operators may produce different accuracy.The radiation dose is small.

Objective·To explore the risk factors affecting progression-free survival(PFS)in colorectal cancer(CRC)patients and establish a corresponding prognostic prediction model.Methods·A retrospective cohort study was used for analysis,including 533 patients with surgically resected and pathologically confirmed colorectal adenocarcinoma at Tongren Hospital,Shanghai Jiao Tong University School of Medicine,who were randomly divided into a training set(373 cases)and a validation set(160 cases)in a 7∶3 ratio.The included clinical data were analyzed using univariate and multivariate Cox proportional hazards models to explore independent factors affecting postoperative PFS in patients with CRC and to establish a clinical prognostic prediction model based on these factors.The discrimination and calibration of the prediction model were evaluated by using concordance index(C-index),area under the receiver operating characteristic(ROC)curve(AUC),calibration curve,and survival curve.The independent effects of age,gender,and American Joint Committee on Cancer(AJCC)cancer stage on prognosis were assessed using multivariate Cox regression analysis.Results·Multivariate Cox regression analysis revealed that age,smoking history,liver disease,carbohydrate antigen 724(CA724),and AJCC stage were independent factors influencing PFS.In the training set,the C-index of the PFS model was 0.69,with AUCs of 0.744 and 0.713 at 3 and 5 years,respectively.In the validation set,the C-index of the PFS model was 0.64,with AUCs of 0.706 and 0.683 at 3 and 5 years,respectively.The calibration curves showed that the prediction of PFS for the training and validation sets were close to the standard curve.The survival curves suggested that the progression rate of patients in the low-risk group was significantly lower than that in the high-risk group.Stratified analysis revealed that among patients aged ≥65 years,age,liver disease,and AJCC clinical stage were independent factors affecting postoperative PFS.Among patients aged＜65 years,smoking history,CA724,and AJCC clinical stage were independent factors affecting postoperative PFS.For male patients,age,smoking history,CA724,and AJCC clinical stage were independent factors affecting postoperative PFS,while for female patients,liver disease,CA724,and AJCC clinical staging were independent predictors of postoperative PFS.Among patients with AJCC stage Ⅰ-Ⅱ,age and smoking history were independent factors affecting postoperative PFS,whereas in those with AJCC stage Ⅲ-Ⅳ,age,liver disease,and CA724 were independent factors affecting postoperative PFS.Conclusion·The PFS prognostic model established in this study for CRC patients has good discriminative ability and provides clinicians with an effective risk assessment tool.

In recent years,with the constant rise in the number of infertility patients,the rapid and accurate assessment of sperm quality has become a key challenge in reproductive medicine.Currently,traditional methods for sperm classification suffer from limitations in efficiency,subjectivity,and cost-effectiveness,and hence fail to meet clinical needs.With the introduction of artificial intelligence(AI),innovative approaches have been offered to address these issues.Herein,we systematically reviewed the latest progress in AI applications in the field of male infertility,focusing on the role of AI in the assessment of sperm concentration,motility,morphology,DNA fragmentation index,and the treatment of non-obstructive azoospermia.It has been reported that AI technologies,such as convolutional neural networks,demonstrate high accuracy and efficiency in assessing sperm concentration and motility.Particularly in morphological analysis,the performance of AI has been validated in multiple studies,significantly enhancing objectivity and clinical utility.However,the assessment of DNA fragmentation index remains underexplored due to the lack of support in advanced imaging technology,with only a few models showing promise.Additionally,AI significantly improves sperm detection rates in modified testicular sperm extraction through AI-driven image recognition,offering a breakthrough in the treatment of patients with non-obstructive azoospermia.We also discussed the application of natural language processing technology in patient pre-consultation and follow-up,such as automated data collection and intelligent tracking systems,which demonstrate AI's potential to optimize medical workflows.In the future,with the accumulation of high-quality datasets,algorithm optimization,and advances in imaging technology,the application of artificial intelligence is expected to enable multi-dimensional comprehensive screening and play a greater role in the diagnosis and treatment of male infertility.

Objective To investigate the effects of body weight and length of SD rats on the carotid artery balloon injury-induced vascular stenosis model in order to provide a reference for replicating an ideal vascular stenosis mod-el.Methods Male rats were divided into three groups based on body weight and length.The CONQUEROR? SC PTCA balloon catheter was employed,with a fixed balloon inflation volume of 0.2 mL to induce injury in the left common carotid artery,while the right side served as a control.As soon as surgery operation,one rat from each group was selected for Evans Blue dye verification.Fourteen days later,the injured and contra lateral common ca-rotid arteries from remaining rats were harvested for HE staining to check the extent of stenosis.Based on these find-ings,six rats within the optimal range of body weight and length were selected for further validation.Results Rats with body weights ranging from 280 to 380 g(corresponding body lengths of 21.0-26.5 cm)underwent balloon catheter injury,resulting in endothelial detachment and varying degrees of stenosis in the common carotid artery.In rats weighing 280-300 g(body lengths of 21.0-22.5 cm)had severe stenosis or occlusion of the common carotid artery with thrombosis.In rats weighing 320-340 g(body lengths of 23.0-24.5 cm),the internal and external elastic plates of the common carotid artery were ruptured and the vascular morphology was abnormal.Conversely,rats weighing 360-380 g(body lengths of 25.0-26.5 cm)did not show any ruptured elastic laminae or thrombus formation in the common carotid artery,and the extent of vascular stenos in rats with a body weight of 360 g was moderate and uniform.The results of the repeated validation experiments were consistent.Conclusions Rats with a body weight range of 360 g(corresponding body length of 25.0-26.5 cm)are suitable for development of an ideal vascular stenosis model.

Objective:To evaluate the accuracy of the oral healthcare information provided by different large language models (LLM) to explore their feasibility and limitations in the application of oral auxiliary, treatment and health consultation.Methods:This study designed eight items comprising 47 questions in total related to the diagnosis and treatment of oral diseases [to assess the performance of LLM as an artificial intelligence (AI) medical assistant], and five items comprising 35 questions in total about oral health consultations (to assess the performance of LLM as a simulated doctor). These questions were answered individually by the five LLM models (Erine Bot, HuatuoGPT, Tongyi Qianwen, iFlytek Spark, ChatGPT). Two attending physicians with more than 5 years of experience independently rated the responses using the 3C criteria (correct, clear, concise), and the consistency between the raters was assessed using the Spearman rank correlation coefficient, and the Kruskal-Wallis test and Dunn post hoc test were used to assess the statistical differences between the models. Additionally, this study used 600 questions from the 2023 dental licensing examination to evaluate the time taken to answer, scores, and accuracy of each model.Results:As an AI medical assistant, LLM can assist doctors in diagnosis and treatment decision-making, with an inter-evaluator Spearman coefficient of 0.505 ( P<0.01). As a simulated doctor, LLM can carry out patient popularization, with an inter-evaluator Spearman coefficient of 0.533 ( P<0.01). The 3C scores of each model as an AI medical assistant and a simulated doctor were respectively: 2.00 (1.00, 3.00) and 2.00 (2.00, 3.00) points of Erine Bot, 1.00 (1.00, 2.00) and 2.00 (1.00, 2.00) points of HuatuoGPT, 2.00 (1.00, 2.00) and 2.00 (1.00, 3.00) points of Tongyi Qianwen, 2.00 (1.00, 2.00) and 2.00 (1.75, 2.25) points of iFlytek Spark, 3.00 (2.00, 3.00) and 3.00 (2.00, 3.00) points of ChatGPT (full score of 4 points). The Kruskal-Wallis test results showed that, as an AI medical assistant or a simulated doctor, there were statistically differences in the 3C scores among the five large language models (all P<0.001). The average score of the 5 LLMs on the dental licensing examination was 370.2, with an accuracy rate of 61.7% (370.2/600) and a time consumption of 94.6 min. Specifically, Erine Bot took 115 min, scored 363 points with an accuracy rate of 60.5% (363/600), HuatuoGPT took 224 min and scored 305 points with an accuracy rate of 50.8% (305/600), Tongyi Qianwen took 43 min, scored 438 points with an accuracy rate of 73.0% (438/600), iFlytek Spark took 32 min, scored 364 points with an accuracy rate of 60.7% (364/600), and ChatGPT took 59 min, scored 381 points with an accuracy rate of 63.5% (381/600). Conclusions:Based on the evaluation of LLM′s dual roles as an AI medical assistant and a simulated doctor, ChatGPT performes the best, with basically correct, clear and concise answers, followed by Erine Bot, Tongyi Qianwen and iFlytek Spark, with HuatuoGPT lagging behind significantly. In the dental licensing examination, all the 4 LLM, except for HuatuoGPT, reach the passing level, and the time consumpution for answering is significantly reduced compared to the 8 h required for the exam regulations in all of the five models. LLM has the feasibility of application in oral auxiliary, treatment and health consultation, and it can help both doctors and patients obtain medical information quickly. Howere, their outputs carry a risk of errors (since the 3C scoring results do not reach the full marks), so prudent judgment should be exercised when using them.

Ergonomic Principle for the Prevention of Work-Related Musculoskeletal Disorders Part 1: General Principles (T/WSJD 14.1-2020) is the first guideline standard for the prevention of work-related musculoskeletal disorders provided to employers and occupational health technical service institutions in China, which covers ergonomic risk factors and their hazard definition, ergonomic prevention principles, risk assessment process, risk control process and risk evaluation principles. The standard specifically clarify the specific types of adverse ergonomic risk factors and control strategies and the standard process of systematic ergonomic risk assessment, providing implementation paths and practical guidance for eliminating/reducing adverse ergonomic risks and enhance workplace environments to prevent work-related musculoskeletal disorders. This paper interprets and analyzes the background of standard establishment, formulation process, fundamental basis, and main content, etc., to provide scientific and accurate technical support for enterprise managers, labours and technical personnel of occupational health institutions to optimize the use of this standard.