Background: Surgeons face challenges in selecting cost-effective and biologically active agents for rotator cuff healing, given the numerous commercial products available, such as polydeoxyribonucleotide (PDRN) and atelocollagen (ATC). However, the precise efficacy of PDRN and ATC in rotator cuff healing remains debatable, and there is currently a lack of studies directly comparing the effects of the 2 agents on repaired cuff tendons. Therefore, the purpose of this study was to compare the efficacy of PDRN and ATC on bone-to-tendon interface (BTI) healing using a chronic rotator cuff tear (RCT) model in rabbits. Methods: Forty-eight rabbits were randomly divided into 3 groups. To create chronic RCT models, transected tendons were left untreated for 6 weeks, and then were repaired in a transosseous manner with PDRN and ATC injection into the repair site according to group allocation (group A: saline, group B: PDRN, group C: ATC; n = 16 per group). Genetic and immunofluorescence analyses were performed at 4 weeks after surgery. Furthermore, genetic, histologic, and biomechanical analyses were performed at 12 weeks after surgery. Results: At 4 weeks after surgery, ATC-injected shoulders showed the highest mRNA expression levels of collagen type I alpha 1 and aggrecan compared to the other 2 groups (p < 0.001 and p = 0.002, respectively). Meanwhile, there was more preliminary fibrocartilaginous matrix formation in the ATC-injected group. At 12 weeks after surgery, ATC-injected shoulders demonstrated better collagen fiber continuity and orientation, denser collagen fibers, a more mature bone-to-tendon junction, and greater fibrocartilage layer formation compared to the other 2 groups (all p < 0.001). Furthermore, ATC-injected shoulders also demonstrated a significantly higher load-to-failure value (40.4 ± 4.5 N/kg) than the remaining groups (group A, 26.7 ± 3.0 N/kg; group B, 32.8 ± 4.2 N/kg; p < 0.001). Conclusions ATC demonstrated superior efficacy in promoting BTI healing following surgical repair in a chronic RCT model of rabbits.

Objective:To compare the effects of scalp acupuncture combined with rehabilitation therapy and rehabilitation therapy alone on the brain functional connectivity(FC)in patients with post-stroke motor dysfunction.Method:Forty patients with post-stroke motor dysfunction were randomly divided into a treatment group and a control group,with 20 patients in each group.Both groups received routine rehabilitation therapy,with the treatment group receiving additionally scalp acupuncture therapy.Functional magnetic resonance imaging(fMRI)scans were performed on all patients before and after treatment,with the affected side primary motor cortex(M1)as the region of interest(ROI)to observe the FC between the Ml and other brain regions.Result:In the treatment group,FC was enhanced between the orbital inferior frontal gyrus,orbital middle frontal gyrus,right middle frontal gyrus,bilateral medial superior frontal gyri,and Ml;conversely,FC be-tween the right inferior temporal gyrus and Ml was reduced(FWE corrected,P＜0.05,cluster size＞59).In the control group,FC between the left triangular part of the inferior frontal gyrus and Ml was enhanced.Af-ter treatment,both groups showed a significant increase in Fugl-Meyer scores compared to pre-treatment,with the treatment group scoring higher than the control group(P＜0.01).In the treatment group,changes in FC be-fore and after treatment were moderately and significantly correlated with improvements in Fugl-Meyer scores(P＜0.05).Additionally,changes in FC of the bilateral medial superior frontal gyri before and after treatment were significantly positively correlated with changes in upper limb Fugl-Meyer scores(P＜0.05)in the treatment group.Conclusion:Scalp acupuncture combined with rehabilitation therapy can enhance the functional connectivity be-tween the frontal lobe and the affected side Ml,and the functional connectivity of the bilateral medial superi-or frontal gyri is associated with the recovery of upper limb function in patients with post-stroke motor dys-function.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

The emergence of artificial intelligence(AI)has had a significant impact on medical research and practice,both in terms of the number of studies and research paradigms,and has become an important tool for the development of pharmacoepidemiology.However,traditional AI has faced many challenges,while facilitating pharmacoepidemiology research,such as complex data processing,difficulty in identifying drug exposures and potential outcomes,and time-consuming and laborious study design and implementation.The rapid development of generative AI,represented by large language models(LLMs),has demonstrated a unique potential to enhance research efficiency,shift research paradigms,and facilitate knowledge discovery.LLMs are equipped with natural language understanding and generation capabilities.Through deep mining of multi-dimensional data resources,LLMs can quickly and accurately extract,analyze,summarize,and present the required information,which can not only help drug discovery,drug repurposing,pharmacovigilance and other pharmacoepidemiological tasks,but also provide powerful support for the whole process of research protocol design,data analysis,result interpretation and paper publication.Driven by LLMs,pharmacoepidemiology research is gradually moving into a new stage based on big data and automated analysis.Of course,LLMs also have problems of data bias,"illusion"of results,and ethical and legal regulation.By strengthening interdisciplinary cooperation,establishing a standardized evaluation system,improving ethical and regulatory guidance,enhancing data quality,strengthening practitioner training and capacity building,and promoting human-machine collaborative research modes,it is expected that the potential of LLMs in pharmacoepidemiology will be fully released,and it will provide a more scientific,rapid,and efficient technological support for drug regulation and public health decision-making.

Objective:To describe the hotspots and application trends of artificial intelligence (AI) in epidemiology in the past decade and analyze its advantages and challenges.Methods:The literatures with AI and epidemiology related keywords were systematically retrieved from Web of Science and China National Knowledge Infrastructure from 2014 to 2024. CiteSpace was used for bibliometric analysis of publication volume, keyword co-occurrence, clustering, emergence and cited literature co-occurrence analysis.Results:A total of 5 389 English papers and 1 659 Chinese papers were included, showing an increasing publication trend. High-frequency Chinese keywords included prediction, influencing factor, and machine learning, while English keywords frequently used were machine learning, prediction, and artificial intelligence. The Chinese keywords formed 14 clusters such as epidemiological characteristic, dietary pattern, and elderly individual, and the English keywords formed 21 clusters including prediction model, risk factor, and adult. In international studies, health policy, COVID-19, and digital health were the emerging frontier keywords. Eleven core papers were selected, covering key areas like traffic accident risk assessment, public health big data application, and deep learning in medical diagnosis.Conclusions:This study systematically summarized the research hotspots and development trends of AI applications in epidemiology over the past decade by using bibliometric methods, which indicated that current AI-based epidemiological studies are still in the exploratory phase, with the coexisting of both advantages and challenges. Continued attention should be paid to the future development of this field.

Aim To elucidate the underlying mecha-nism by which total triterpenoids extracted from Hove-nia dulcis(H-TP)enhance the sensitivity of A549/DDP cells to cisplatin.Methods The ARE-Nrf2 lu-ciferase reporter assay was applied to investigate the impact of H-TP on Nrf2 expression.Western blot was used to detect the protein levels of Keap-1/Nrf2/HO-1,Nrf2-GPX4 signaling pathway,apoptosis-related proteins of Bcl-2 and Bax.Further validation of its effects on Nrf2 was conducted by using Nrf2 activator/inhibitor.Results H-TP could enhance the sensitivi-ty of A549/DDP cells to cisplatin by modulating the expression of apoptosis-related proteins Bax and Bcl-2,inhibiting the Keap-1/Nrf2/HO-1/GPX4 signating pathway in A549/DDP cells,and inducing ferroptosis.Conclusion H-TP enhances the sensitivity of A549/DDP cells to cisplatin by inducing the Nrf2-mediated ferroptosis pathway.

The epidemiological and spatiotemporal clustering characteristics of dengue fever in Fujian Province were ana-lyzed,to provide a scientific basis for dengue fever prevention and control.Descriptive epidemiology,spatial autocorrelation a-nalysis,and spatiotemporal scanning were used to analyze dengue fever cases in Fujian Province from 2011 to 2023.In this peri-od,a total of 3 586 cases of dengue fever were reported in Fujian Province,including 2 360 local cases,1 134 imported cases from abroad,and 92 imported cases from China.Cases were reported in ten prefectures and cities of the province,and 81 out of 88 counties reported cases.Imported cases were reported throughout the year in Fujian Province,but the occurrence of local ca-ses showed clear seasonality.Local cases and domestic imports were concentrated in August to October,whereas overseas im-ports occurred primarily from June to October.The imported cases were mainly from Southeast Asian countries,but a trend of spreading from Southeast Asian countries to South Asia,Africa,the Americas,and other regions,was observed.Spatio-tem-poral clustering of dengue fever was found in Fujian Province(Moran's I value 0.14-0.66,P＜0.05),and the high-high ag-gregation areas were distributed primarily in Fuzhou,Quanzhou,and Putian.Spatio-temporal scanning detected three aggrega-tion areas:one main and two secondary.The aggregation time was from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.The distribution of dengue fever in Fujian Province showed clear spatial and temporal clustering from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.For high concentration areas,national health campaigns,mosquito prevention and control,epidemic surveillance,medical personnel training,and other relevant measures could be carried out in advance before local cases appear every year.Reduce local transmission of dengue fever due to importation.

Oropharyngeal squamous cell carcinoma(OPSCC)is a malignant tumor originating from the squamous epithelium of the oro-pharyngeal mucosa,accounting for more than 90％of oropharyngeal malignancies.In recent years,human papillomavirus(HPV)infec-tion has become one of the primary etiological factors of oropharyngeal squamous carcinoma.The incidence of HPV-associated oropharyn-geal squamous carcinoma has been rising annually,with a noticeable trend toward younger populations,posing a significant threat to hu-man health.Due to the distinct biological behavior and clinical characteristics of HPV-associated oropharyngeal squamous carcinoma com-pared to its non-HPV-related counterpart,the diagnostic and treatment strategies for oropharyngeal squamous carcinoma have undergone substantial changes.Prevention and screening for oropharyngeal squamous carcinoma are of critical importance.The diagnostic and treat-ment process involves multi-disciplinary collaboration,including oral and maxillofacial surgery,otolaryngology,head and neck surgery,oncology,radiology and pathology.Based on evidence from clinical practice,a comprehensive,integrated diagnostic and therapeutic ap-proach has been established,centered around the concept of"prevention,screening,diagnosis,treatment,and rehabilitation",covering the entire patient lifecycle and providing a valuable reference for clinical practice.

Objective To investigate the value of CT perfusion imaging (CTP) combined with serum eicosapentaenoic acid (EPA)/arachidonic acid (AA) in predicting hemorrhage transformation and short-term prognosis after thrombolysis in acute ischemic stroke (AIS) patients with leukoaraiosis. Methods Ninety-eight AIS patients with leukoaraiosis admitted to the department of neurology of our hospital from January 2021 to December 2022 were selected and divided into the hemorrhage transformation group and non-hemorrhage transformation group according to whether hemorrhage transformation occurred after thrombolysis. The Fazekas scale was used to evaluate the leukoaraiosis of the patients. CTP parameters and EPA/AA were compared between patients in the two groups and patients with different degrees of leukoaraiosis in the hemorrhage transformation group. The predictive value of CTP parameters and EPA/AA on the occurrence of hemorrhage transformation was evaluated by receiver operating characteristic (ROC) curve. The prognosis was assessed according to the modified Rankin scale (mRS) score 1 month after thrombolysis;the linear and linear combinations are used to evaluate the linear relationship between variables;the ROC curve was used to evaluate the predictive value of CTP parameters and EPA/AA in the short-term prognosis of patients. Results The reactive cerebral blood flow (rCBF),reactive cerebral blood volume (rCBV),CTP integration index and EPA/AA in the hemorrhage transformation group were significantly lower than those in the non-hemorrhage transformation group (P<0.05),while the relative time to peak (rTTP) was significantly longer than that in the non-hemorrhage transformation group (P<0.05). The incidence of hemorrhage transformation increased with the increase of leukoaraiosis degree (P<0.05). In the hemorrhage transformation group,rCBF,rCBV,CTP integration index and EPA/AA of patients with mild leukoaraiosis were higher than those of patients with moderate-severe leukoaraiosis (P<0.05). In patients with mild leukoaraiosis,the area under the curve (AUC) of rCBF and EPA/AA in predicting hemorrhage transforma-tion were 0.712 and 0.720,respectively (P<0.05);in patients with moderate-severe leukoaraiosis,the AUC of rCBF,rCBV,rTTP,CTP integration index and EPA/AA in predicting hemorrhage transformation were 0.738,0.714,0.717,0.739 and 0.742,respectively (P<0.05). Among the 98 patients received thrombolysis,35 patients had a poor prognosis. The AUC of rCBF,rCBV,CTP integration index and EPA/AA in predicting short-term prognosis were 0.742,0.732,0.704 and 0.738,respectively,and the AUC of the four combined prediction was 0.968. Conclusion CTP parameters and EPA/AA have a certain predictive value for the occurrence of hemorrhage transformation after thrombolysis in AIS patients with leukoaraiosis,and rCBV,rCBF,CTP integration index and EPA/AA are important influencing factors of the short-term prognosis for these patients.

The complex rhythmic patterns of central pattern generator (CPG) and its response to electromagnetic induction are explored. The response of an individual neuron's discharge activity to electromagnetic induction is analyzed when the slow variable parameter changes,and it is found that the smaller the slow variable parameter,the stronger the neuron's response to electromagnetic induction. The simulation reveals that the discharge rhythm of CPG that are sequentially inhibited (neuron 1 inhibits 2,neuron 2 inhibits 3,and neuron 3 inhibits 1) has a stronger response to electromagnetic induction in synchronous states and is more robust in typical discharge states (3 neurons firing in sequence). In addition,the response of the discharge rhythm of CPG with mutual inhibition coupling structure to electromagnetic induction is discussed,and it is found that small changes in electromagnetic induction will fundamentally transform the discharge rhythm pattern of CPG.