Acute pancreatitis （AP） often has an acute onset， and although most cases are self-limiting， there is still a risk of rapid deterioration， posing a serious threat to the lives of patients. Currently， traditional assessment tools such as clinical scoring systems and serum biomarkers are widely used to determine disease severity and prognosis. To enhance the accuracy of assessment， combined detection strategies integrating different scores and biomarkers are often used in clinical practice； however， there are still certain limitations such as insufficient specificity， limited early sensitivity， and a lack of consistent cut-off values. Therefore， current studies are actively exploring novel biomarkers with superior specificity and sensitivity and continuously optimizing their combined application strategies. This article summarizes the current application status of traditional assessment tools and reviews the research advances in novel biomarkers.

Objective To investigate and compare the epidemiological characteristics of common respiratory viruses among influenza-like illness(ILI)and severe acute respiratory infection(SARI)cases in Huzhou,Zhejiang Province before and after the COVID-19 pandemic,so as to provide a basis for formulating and adjusting the prevention and control strategies for viral respiratory infectious diseases.Methods ILI and SARI cases at two influenza surveillance sentinel hospitals in Huzhou and had throat swab samples collected during Nov 2017 to Feb 2020(pre-COVID-19 pandemic period)and Dec 2022 to Apr 2024(post-COVID-19 mitigation phase)were selected as the participants.Seven common viral respiratory pathogens were tested,including influenza A virus(H1N1 and H3N2 subtypes),influenza B virus(Victoria lineage,FluB),respiratory syncytial virus(RSV),rhinovirus(HRV),adenovirus(ADV),and severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).The positive rates of respiratory pathogens before and after the COVID-19 pandemic were compared across different age groups and different time.Results A total of 7 948 ILI samples and 2 294 SARI samples were included.The overall positive rate of ILI samples increased from 33.6%to 47.1%,primarily due to the increase in influenza and COVID-19 infections;the overall positive rate of SARI samples decreased from 31.4%to 24.8%,mainly due to the reduction in HRV and ADV infections.During the post-COVID-19 mitigation phase,SARS-CoV-2(22.1%),H3N2(12.7%),and FluB(6.0%)were the primary pathogens in ILI samples,while RSV(7.1%),H3N2(5.3%),and HRV(4.5%)dominated in SARI samples.During the post-COVID-19 mitigation phase,the influenza virus circulation period was shortened.Before the COVID-19 pandemic,RSV was mainly detected in autumn and winter,while during the post-COVID-19 mitigation phase,out-of-season RSV epidemics were observed in spring and summer.Co-infection rate in ILI cases increased significantly in the post-COVID-19 mitigation phase,predominantly consisting of co-infections of COVID-19 and influenza A virus,while co-infection rate in SARI cases showed a decline.Conclusion We found important epidemiological changes in respiratory viruses in Huzhou during the post-COVID-19 mitigation phase compared to pre-COVID-19 period,including increased positive rates of influenza and COVID-19,and disruptions to the seasonal patterns of influenza and RSV.The prevention and control strategies should be adjusted in a timely manner based on the monitoring data.

OBJECTIVE To offer a reference for the treatment of Mycobacterium iranicum infection by analyzing the diagnosis and management of a single case alongside literature-reported cases.METHODS Through case report and literature reviews,this study synthesized the clinical features,therapeutic regimens,and patient outcomes of those infected with M.iranicum.RESULTS In the single case documented in this report,subsequent to clinical pharmacists'involvement in the consultation,the patient was prescribed a therapeutic regimen comprising levofloxacin(0.5 g,qd,ivgtt)+Clarithromycin sustained-release tablets(1 000 mg,qd,po)+Ethambutol tablets(0.75 g,qd,po).The patient exhibited clinical improvement and was discharged after treatment.This article integrated 12 published studies,encompassing 13 patients(7 male and 6 female),of whom 69.23%were aged≥50 years.Patients infected with M.iranicum exhibited non-specific clinical manifestations and imaging features,with pulmonary infection as the primary presentation.Antimicrobial susceptibility test revealed that M.iranicum was susceptible to multiple agents,including amikacin,clarithromycin,linezolid,and ethambutol.The three-drug combination therapy was the most frequently employed regimen.In terms of clinical outcomes,there were 9 cases(69.23%)of clinical cure,3 cases(23.08%)of bacteriological negativity conversion,and 1 case(7.69%)of treatment failure.CONCLUSIONS For M.iranicum infection,a triple-drug therapeutic regimen consisting of three agents with distinct mechanisms of action selected from amikacin,clarithromycin,moxifloxacin,levofloxacin,minocycline,ethambutol,and other relevant drugs may represent a relatively optimal strategy.

Since the concept of artificial intelligence(AI)was proposed in 1956,medicine has been one of its core application fields.At present,AI technology has run through the whole diagnosis and treatment process,and has been extended to innovative scenarios such as drug research and development,surgical robots,and clinical trial optimization.Scenario application is the backbone of the technical system.Multimodal data fusion integrates heterogeneous data such as images,medical records,and genes,and federated learning realizes cross-institutional privacy protection and sharing.Deep learning achieved more than 90%sensitivity in imaging diagnosis for lung nodule detection,while generative AI accelerates drug molecule design.The core applications cover four major areas field:AI is more accurate than professional doctors in breast cancer and diabetic retinopathy screening;robotics shortens hospital stays and improves spinal screw placement accuracy;AI shortens the discovery cycle of drug targets;machine learning improves the efficiency of subject screening and enables real-time data monitoring.The application of AI in the medical field is first constrained by data quality and algorithm bias,and the"black box"characteristics of AI models and the ambiguity of responsibility attribution are the core obstacles to clinical implementation.This paper analyzes key technological breakthroughs and typical cases,discusses the application scenarios and challenges of AI in medicine,and aims to provide a reference for the future development of medical intelligence.

Since the concept of artificial intelligence(AI)was proposed in 1956,medicine has been one of its core application fields.At present,AI technology has run through the whole diagnosis and treatment process,and has been extended to innovative scenarios such as drug research and development,surgical robots,and clinical trial optimization.Scenario application is the backbone of the technical system.Multimodal data fusion integrates heterogeneous data such as images,medical records,and genes,and federated learning realizes cross-institutional privacy protection and sharing.Deep learning achieved more than 90%sensitivity in imaging diagnosis for lung nodule detection,while generative AI accelerates drug molecule design.The core applications cover four major areas field:AI is more accurate than professional doctors in breast cancer and diabetic retinopathy screening;robotics shortens hospital stays and improves spinal screw placement accuracy;AI shortens the discovery cycle of drug targets;machine learning improves the efficiency of subject screening and enables real-time data monitoring.The application of AI in the medical field is first constrained by data quality and algorithm bias,and the"black box"characteristics of AI models and the ambiguity of responsibility attribution are the core obstacles to clinical implementation.This paper analyzes key technological breakthroughs and typical cases,discusses the application scenarios and challenges of AI in medicine,and aims to provide a reference for the future development of medical intelligence.

Aim To investigate the antagonistic effect of Schizandrin A(SchA)on oxidative stress-induced endothelial dysfunction and its mechanism of action.Methods Human umbilical vein endothelial cells(HUVECs)were selected as the research subjects,and the effects of SchA on cell viability were detected by MTT assay;the content of ROS in the cells was detec-ted by flow cytometry;the content of MDA and CAT in the cells,and the content of NO and ET-1 in the cell supernatant were detected by kit assay;and the expres-sion of SOD1,p-eNOS/eNOS proteins,and ET-1 in the cell supernatant were detected by Western blot.Immu-nofluorescence experiments were performed to detect Nrf2 entry into the nucleus of cells.Results SchA re-versed the LPS-or hypoxia-induced increase in ROS and MDA content as well as the decrease in SOD1 and CAT content in HUVECs by activating the Nrf2/Keap1/HO-1 signaling pathway.SchA inhibited the decrease of p-eNOS and eNOS protein expression in HUVECs cells,as well as NO content in cell culture medium and the increase of ET-1 content induced by LPS.The Nrf2 inhibitor ML385 reversed the antagonis-tic effects of SchA on oxidative stress and endothelial dysfunction.Conclusions SchA antagonized LPS and hypoxia-induced oxidative stress,and SchA amelio-rated oxidative stress-induced endothelial dysfunction by up-regulating the Nrf2/Keap1/HO-1 signaling path-way.

Aim To explore the in vitro anti-human triple-negative breast cancer(TNBC)effect and mech-anism of Austocystin R.Methods MTT assay was used to evaluate the anti-tumor potential of Austocystin R for various human tumor cells and normal cells.Flow cytometry was employed to evaluate the influence on cell cycle progression.mRFP-GFP-LC3 adenovirus transfection was used to evaluate the autophagic flux process.Western blot assay was used to verify the effect of Austocystin R on the expression of related pro-teins.Results The results showed that Austocystin R significantly inhibited the proliferation of multiple tumor cells in a dose-dependent manner,especially for the MDA-MB-231 cells with an IC50 of 1.45μmol·L-1.In addition,Austocystin R increased the protein expression of PTEN,p53,p-p53,p27,p21,and down-regulated the expression of p-PI3K,p-AKT and p-mTOR.Austocystin R can significantly increase the proportion of S-phase MDA-MB-231 cells,inhibit the expression of Cyclin D1,CDK4,CDK6,Rb,Cyclin B1 and CDK1,and promote the expression of Cyclin E1 and CDK2.Austocystin R can promote the autophagic flux process of MDA-MB-231 cells,promote the expres-sion of LC3 Ⅰ/Ⅱ,p-Beclin-1,p-ULK1,HMGB-1 and Atg 14 proteins,and inhibit the expression of Beclin-1,ULK1,p62,ATG 3,ATG 4B,ATG 5,ATG 7,ATG 12,ATG 13 and ATG 16L1 proteins.Conclusion Austo-cystin R can exhibit its anti-TNBC activity by inhibi-ting the PI3K/AKT/mTOR signaling pathway,blocking the cell cycle at the S phase and inducing autophagic cell death.

Aim To explore the in vitro anti-human triple-negative breast cancer(TNBC)effect and mech-anism of Austocystin R.Methods MTT assay was used to evaluate the anti-tumor potential of Austocystin R for various human tumor cells and normal cells.Flow cytometry was employed to evaluate the influence on cell cycle progression.mRFP-GFP-LC3 adenovirus transfection was used to evaluate the autophagic flux process.Western blot assay was used to verify the effect of Austocystin R on the expression of related pro-teins.Results The results showed that Austocystin R significantly inhibited the proliferation of multiple tumor cells in a dose-dependent manner,especially for the MDA-MB-231 cells with an IC50 of 1.45μmol·L-1.In addition,Austocystin R increased the protein expression of PTEN,p53,p-p53,p27,p21,and down-regulated the expression of p-PI3K,p-AKT and p-mTOR.Austocystin R can significantly increase the proportion of S-phase MDA-MB-231 cells,inhibit the expression of Cyclin D1,CDK4,CDK6,Rb,Cyclin B1 and CDK1,and promote the expression of Cyclin E1 and CDK2.Austocystin R can promote the autophagic flux process of MDA-MB-231 cells,promote the expres-sion of LC3 Ⅰ/Ⅱ,p-Beclin-1,p-ULK1,HMGB-1 and Atg 14 proteins,and inhibit the expression of Beclin-1,ULK1,p62,ATG 3,ATG 4B,ATG 5,ATG 7,ATG 12,ATG 13 and ATG 16L1 proteins.Conclusion Austo-cystin R can exhibit its anti-TNBC activity by inhibi-ting the PI3K/AKT/mTOR signaling pathway,blocking the cell cycle at the S phase and inducing autophagic cell death.

Objective To investigate and compare the epidemiological characteristics of common respiratory viruses among influenza-like illness(ILI)and severe acute respiratory infection(SARI)cases in Huzhou,Zhejiang Province before and after the COVID-19 pandemic,so as to provide a basis for formulating and adjusting the prevention and control strategies for viral respiratory infectious diseases.Methods ILI and SARI cases at two influenza surveillance sentinel hospitals in Huzhou and had throat swab samples collected during Nov 2017 to Feb 2020(pre-COVID-19 pandemic period)and Dec 2022 to Apr 2024(post-COVID-19 mitigation phase)were selected as the participants.Seven common viral respiratory pathogens were tested,including influenza A virus(H1N1 and H3N2 subtypes),influenza B virus(Victoria lineage,FluB),respiratory syncytial virus(RSV),rhinovirus(HRV),adenovirus(ADV),and severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).The positive rates of respiratory pathogens before and after the COVID-19 pandemic were compared across different age groups and different time.Results A total of 7 948 ILI samples and 2 294 SARI samples were included.The overall positive rate of ILI samples increased from 33.6%to 47.1%,primarily due to the increase in influenza and COVID-19 infections;the overall positive rate of SARI samples decreased from 31.4%to 24.8%,mainly due to the reduction in HRV and ADV infections.During the post-COVID-19 mitigation phase,SARS-CoV-2(22.1%),H3N2(12.7%),and FluB(6.0%)were the primary pathogens in ILI samples,while RSV(7.1%),H3N2(5.3%),and HRV(4.5%)dominated in SARI samples.During the post-COVID-19 mitigation phase,the influenza virus circulation period was shortened.Before the COVID-19 pandemic,RSV was mainly detected in autumn and winter,while during the post-COVID-19 mitigation phase,out-of-season RSV epidemics were observed in spring and summer.Co-infection rate in ILI cases increased significantly in the post-COVID-19 mitigation phase,predominantly consisting of co-infections of COVID-19 and influenza A virus,while co-infection rate in SARI cases showed a decline.Conclusion We found important epidemiological changes in respiratory viruses in Huzhou during the post-COVID-19 mitigation phase compared to pre-COVID-19 period,including increased positive rates of influenza and COVID-19,and disruptions to the seasonal patterns of influenza and RSV.The prevention and control strategies should be adjusted in a timely manner based on the monitoring data.

Objective To explore the application effect of 3D printed individualized model in the treatment of complex ankle fractures(AF).Methods Patients with complex AF admitted to our hospital from July 2021 to October 2022 were selected and divided into the control group and the observation group using a random number table method,with 50 cases in each group.Patients in the control group were received minimally invasive reduction and internal fixation,while these in the observation group were given minimally invasive reduction and internal fixation under the guidance of 3D printed individualized model.The surgical conditions,ankle joint reduction,stress indicators[norepinephrine(NE)and angiotensin Ⅱ(AngⅡ)],ankle function and postoperative complications were compared between the two groups.Results There were 2 patients in the observation group and 3 patients in the control group were lost to follow-up 12 months after surgery.Compared with the control group,the observation group showed a decrease in the intraoperative blood loss,shortened surgical time,hospitalization time,and weight-bearing activity time,and an increase in the anatomical reduction rate(P<0.05).The observation group had lower serum levels of NE and AngⅡ 1 and 3 days after surgery(P<0.05)and higher Kofoed score and American Orthopedic Foot and Ankle Society(AOFAS)scores 1,6,and 12 months after surgery(P<0.05),as well as lower incidence of postoperative complications(P<0.05)than those in the control group.Conclusion For the treatment of complex AF,3D printed individualized model assisted the formulation of minimally invasive reduction and fixation surgical plans before surgery can shorten surgical time,reduce stress injury,decrease the risk of complications,and simultaneously increase the anatomical reduction rate and improve ankle joint function,thereby accelerating postoperative recovery of patients.