Metabolic dysfunction-associated fatty liver disease （MAFLD） has become one of the most prevalent chronic liver diseases worldwide， posing a serious challenge to public health. In this context， the integration of artificial intelligence （AI）， especially intelligent diagnosis and treatment and digital health interventions based on machine learning， can break through the limitations of traditional methods， realize efficient screening of multi-dimensional data such as key genes， biomarkers， and biochemical metabolites， and achieve revolutionary breakthroughs in risk prediction， subtype identification， and therapeutic effect assessment for MAFLD. This article systematically reviews the ground-breaking application of machine learning models in driving the innovation of clinical diagnosis and precise risk prediction of MAFLD， conducts a comprehensive comparative analysis of digital health practice cases of MAFLD in China and globally， and deeply analyzes their advantages and limitations in terms of research subjects， interventions， and management team. Studies have shown that the deep integration of digital health and long-term management of MAFLD is becoming the key engine driving the transformation of disease management modes towards an intelligent， individualized， and precise era， but there are various ethical and technical issues that need to be addressed urgently.

The"promising zone"is a method used to analyze interim data from adaptive design clinical trials in an unblinded state.It allows for the adjustment of sample size based on interim results to enhance the trial's probability of success or minimize investment in unnecessary sample size.Mehta and Pocock proposed rules for increasing sample size based on interim analysis results using the concept of the"promising zone"(MP design).Furthermore,combination of the MP design with group sequential design can set up early stopping boundaries in trials,allowing for a reduction in sample size under favorable or unfavorable zone.The combination test(CT)design further optimizes the framework of the"promising zone",by considering sample size and conditional power in combination to achieve the highest conditional power with the smallest sample size.This review summarizes the principles of the"promising zone",introduces the method of determining the"promising zone"and re-estimating sample size,and further illustrates the feasibility of this method in clinical trials with a practical case.

OBJECTIVE:The quality of systematic reviews/meta-analyses directly affects the reliability of clinical decision-making basis.Currently,there is no literature quality research on the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis both domestically and internationally.This article will comprehensively evaluate the methodological quality,reporting quality,and evidence quality of the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis.METHODS:Computer searches were conducted on CNKI,WanFang Data,VIP,CBM,PubMed,Embase,and The Cochrane Library.From the establishment of the database until January 24,2024,all systematic reviews/meta-analyses treated with platelet rich plasma versus hyaluronic acid for knee osteoarthritis were collected.Two evaluators independently conducted literature screening and data extraction,and used the AMSTAR 2,PRISMA 2020,and GRADE systems to evaluate and summarize the methodological,reporting,and evidence quality of the included systematic reviews/meta-analyses.RESULTS:A total of 18 qualified systematic reviews/meta-analyses were included,and the results showed that the efficacy and safety of platelet rich plasma might be better than that of hyaluronic acid.The methodological quality of all 18 studies was extremely low;4 reports had poor quality and relatively serious information defects,while 14 reports had moderate quality and some information defects.Among the 275 outcome measures of 16 systematic reviews/meta-analyses,there were 9 medium quality evidence,90 low-quality evidence,and 176 extremely low-quality evidence,with no high-quality evidence.CONCLUSION:At present,the quality of systematic reviews/meta-analyses literature on the treatment of knee osteoarthritis with platelet rich plasma versus hyaluronic acid is relatively low.In the future,the authors of the systematic reviews need to strictly follow the entries of quality evaluation tools such as AMSTAR 2 and PRISMA 2020 in terms of plan registration,research type explanation,retrieval strategy,exclusion list,research site and funding source,bias risk analysis,publication bias evaluation,and public information acquisition,and conduct evidence quality evaluation on the combined results of the systematic reviews/meta-analyses to provide more reliable and rigorous evidence-based basis for clinical practice.

OBJECTIVE:The quality of systematic reviews/meta-analyses directly affects the reliability of clinical decision-making basis.Currently,there is no literature quality research on the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis both domestically and internationally.This article will comprehensively evaluate the methodological quality,reporting quality,and evidence quality of the systematic reviews/meta-analyses of platelet rich plasma versus hyaluronic acid in the treatment of knee osteoarthritis.METHODS:Computer searches were conducted on CNKI,WanFang Data,VIP,CBM,PubMed,Embase,and The Cochrane Library.From the establishment of the database until January 24,2024,all systematic reviews/meta-analyses treated with platelet rich plasma versus hyaluronic acid for knee osteoarthritis were collected.Two evaluators independently conducted literature screening and data extraction,and used the AMSTAR 2,PRISMA 2020,and GRADE systems to evaluate and summarize the methodological,reporting,and evidence quality of the included systematic reviews/meta-analyses.RESULTS:A total of 18 qualified systematic reviews/meta-analyses were included,and the results showed that the efficacy and safety of platelet rich plasma might be better than that of hyaluronic acid.The methodological quality of all 18 studies was extremely low;4 reports had poor quality and relatively serious information defects,while 14 reports had moderate quality and some information defects.Among the 275 outcome measures of 16 systematic reviews/meta-analyses,there were 9 medium quality evidence,90 low-quality evidence,and 176 extremely low-quality evidence,with no high-quality evidence.CONCLUSION:At present,the quality of systematic reviews/meta-analyses literature on the treatment of knee osteoarthritis with platelet rich plasma versus hyaluronic acid is relatively low.In the future,the authors of the systematic reviews need to strictly follow the entries of quality evaluation tools such as AMSTAR 2 and PRISMA 2020 in terms of plan registration,research type explanation,retrieval strategy,exclusion list,research site and funding source,bias risk analysis,publication bias evaluation,and public information acquisition,and conduct evidence quality evaluation on the combined results of the systematic reviews/meta-analyses to provide more reliable and rigorous evidence-based basis for clinical practice.

Objective To explore the role and mechanism of HJT-sRNA-m7(M7)bencaosome in a silicosis mouse model.Methods C57BL/6J mice were randomly divided into four groups:blank,control,negative control(NC)oligonucleotide,and M7 treatment(HJT-sRNA-m7 bencaosome)groups.After three rounds of pretreatment with HJT-sRNA-m7 bencaosome,all groups except the blank one were modeled via a single intratracheal exposure.Each mouse received 50 μL of a silica suspension at a dose of 200 mg/kg body weight via intratracheal instillation.From day 6 to day 26,the bencaosome was administered every other day via oral gavages.On day 28,pulmonary function tests were performed.Bronchoalveolar lavage fluid was collected for flow cytometry and cytokine analysis.The left lung was harvested for histopathological examination and Masson's trichrome staining to evaluate collagen fiber dep-osition.The right lung was used for hydroxyproline quantification to assess collagen accumulation.Results The re-sults of pulmonary function test,pathological analysis and hydroxyproline measurements all indicated that M7 ben-caosome treatment significantly alleviated silica-induced pulmonary fibrosis.Moreover,flow cytometry analysis of BALF confirmed that M7 bencaosome inhibited the silica-induced inflammatory response,that was supported by cy-tokine analysis.Conclusions HJT-sRNA-m7 bencaosome is quite effective to treat silicosis and inhibits mitigating pulmonary fibrosis progression in mouse models.

The"promising zone"is a method used to analyze interim data from adaptive design clinical trials in an unblinded state.It allows for the adjustment of sample size based on interim results to enhance the trial's probability of success or minimize investment in unnecessary sample size.Mehta and Pocock proposed rules for increasing sample size based on interim analysis results using the concept of the"promising zone"(MP design).Furthermore,combination of the MP design with group sequential design can set up early stopping boundaries in trials,allowing for a reduction in sample size under favorable or unfavorable zone.The combination test(CT)design further optimizes the framework of the"promising zone",by considering sample size and conditional power in combination to achieve the highest conditional power with the smallest sample size.This review summarizes the principles of the"promising zone",introduces the method of determining the"promising zone"and re-estimating sample size,and further illustrates the feasibility of this method in clinical trials with a practical case.

Purpose/Significance To explore the changes,challenges,key application scenarios and future development directions of generative artificial intelligence(AI)represented by ChatGPT in the field of hospital management,and to provide references for the ap-plication of AI natural language processing(NLP)technology in the field of hospital management in China.Method/Process Through literature review and analysis,the changes and challenges brought about by the rapid development of generative AI in the field of hospital management are sorted out,its key application scenarios and future development directions in the field of hospital management are empha-sized and explored.Result/Conclusion AI has broad application prospects in the field of hospital management,and it should focus on exploring its practical application scenarios and strategic directions to provide reference and guidance for promoting the high-quality de-velopment of public hospitals.

Bluetongue virus is an arbovirus that seriously harms ruminants such as sheep,this study aims to investigate the molecular mechanism of bluetongue virus infection and host cell interferon antiviral immune response.The study was conducted to characterize the mRNA expression of inter-feron pathway genes by real-time fluorescence quantitative PCR,as well as Western blot analysis of MDA5,TRAF3,RIG-Ⅰ,and TBK1 protein expression in BHK-21 cells induced by BTV with a multiplicity of infections(MOI)of 1 for 18,24,and 36 h.The results showed that the most pro-nounced changes in the expression of interferon signaling pathway genes were observed at 24 h of induction,the gene mRNA expression levels of the IFN-α,IFN-β,RIG-Ⅰ,TBK1,MDA5,VISA,and TRAF3 genes were upregulated.However,the mRNA expression levels of IKKε and TRAF6 genes were downregulated.At the protein level,MDA5 and TBK1 proteins were upregulated while RIG-1 and TRAF3 proteins were downregulated,which showed that BTV infection induces a typeⅠ interferon immune response in BHK-21 cells.This study lays the foundation for further exploring the antiviral immunity mechanism of IFN-Ⅰ signaling pathway regulatory genes in host cells infected with BTV infection.

[摘 要] 目的：采用基于中国人群单核苷酸多态性位点开发的同源重组缺陷（HRD）检测工具评估云南地区卵巢癌患者的HRD状态和BRCA1/2基因突变频率并探讨其临床意义。方法：共纳入2021年1月至2023年5月间在云南省肿瘤医院收治的卵巢癌患者248例，HRD状态采用基因组瘢痕评分法（GSS）（主要依据拷贝数的长度、类型、位置及基因组断片）或HRD评分法（杂合性缺失、端粒等位基因失衡及大片段移位等基因组不稳定事件的总和）进行评估，当组织样本的GSS≥50分或HRD评分≥42分者或检测到有害的BRCA1/2基因突变时HRD被定义为阳性。分析患者HRD状态与临床病理特征的关系。结果：248名卵巢癌患者中70.97%的患者HRD呈阳性，其中BRCA1/2基因突变率为30.65%。Ⅲ~Ⅵ期、高级别浆液腺癌的卵巢癌患者具有更高的HRD阳性率（均P<0.01），HRD评分更高的患者其合并其他基因突变的频率也越高（P<0.05）。HRD状态与卵巢癌的病理类型、临床分期和其他基因突变均有关联（均P<0.01）。结论：云南地区卵巢癌患者HRD阳性率较高，HRD阳性的卵巢癌患者可以从聚ADP核糖聚合酶（PARP）抑制剂治疗中获得更大的收益。

Objective:To investigate the status of professional self-efficacy and its influencing factors among postgraduates in Master of Nursing Specialist(MNS).Methods:Totally 185 postgraduates from 33 universities were chosen by convenience sampling from December 2018 to January 2019 for a cross-sectional survey. Subjects completed a questionnaire covering demographic data, Professional Self-efficacy Questionnaire for Nursing Students, the Chinese version of Proactive Personality Scale and Career Social Support Inventory for Chinese College Students.Results:The score of professional self-efficacy was (92.78±13.22) . Multiple linear regression analysis showed that the sense of achievement in clinical work, proactive personality and career decision support were the influencing factors of postgraduates professional self-efficacy, with an interpretability of 40.2%.Conclusion:Professional self-efficacy of postgraduates is at upper middle level. Schools, hospitals and other relevant institutions should further improve the postgraduates cultivation model, establish high quality clinical practice bases, encourage postgraduates to actively explore career development pathway and provide adequate advices and supports, to improve the professional self-efficacy of postgraduates.