With the rapid development of artificial intelligence （AI） technology， the ethical governance of AI has gained increasing attention. The Recommendation on the Ethics of Artificial Intelligence was issued by the United Nations Educational， Scientific and Cultural Organization in 2021， which clarified several principles for the ethical governance of AI. In the field of rehabilitation medicine， the research and application of AI technology have significantly improved patients’ quality of life and survival. However， due to the specificity of the service population in rehabilitation medicine， which is mostly for the sick， injured， disabled， and elderly， a series of complex ethical issues have also arisen. This paper analyzed in detail the ethical issues and challenges encountered in the research and application of AI technology in the field of rehabilitation medicine from various aspects， such as informed consent， security of privacy and data， patients’ physical and mental rehabilitation， compliance regulation， protection of specific groups， and promotion of equity. According to the principles of the Recommendation on the Ethics of Artificial Intelligence and others， response strategies were proposed， including multi-party collaboration and interdisciplinary cooperation， improving and refining relevant laws and regulations， strengthening ethical education across society， establishing accountability mechanisms， increasing investment， promoting equity， and other measures， to promote the healthy development of research and application of AI technology in the field of rehabilitation， as well as benefit humanity.

The ethical review of clinical research involving mental disorders in the ethical governance of scientific and technological has obvious particularities， especially in the field of artificial intelligence and brain-computer interfaces which are reflected in the impact on mental autonomy， the impaired informed consent ability of participants with severe mental disorders in research， and other aspects. In addition， the stigma of illness， the use of placebo， and psychological assessment methods in clinical research have also drawn attention to the ethical review of psychiatry. In 2020， the Beijing Municipal Health Commission issued the Guidelines for Ethical Review of Clinical Research Involving Mental Disorders （Guidelines）. Shen Yucun’s Psychiatry， compiled in 2023， revised the application of the Guidelines in the context of ethical governance. An analysis was conducted on the purpose and significance of its issuance and revision， its scope of application， the principal responsibility of ethical review in medical and health institutions， and the key content of ethical review in psychiatry， to improve the quality of ethical review in clinical research involving mental disorders and promote the standardized development of clinical research in psychiatry.

As biological sample biobanks progressively demonstrate their significant value in the field of biomedical research， they also pose challenges to existing social norms and ethical rules， making the normative issue of informed consent of participants highly concerned. The current research has insufficient exploration of informed consent in the collection， preservation， utilization， and other links of the sample. In response to the complexity and diversity of each link， it is advocated to refine informed consent strategies to ensure comprehensive protection of participants’ rights and interests. Given the continuity and dynamism of informed consent， it is recommended to establish a flexible review mechanism to address changes in research content， increased risks， and changes in participant capabilities， ensuring the ethical legitimacy of the research and the autonomy in making decisions of participants. Meanwhile， it is emphasized to fully confirm informed consent before sample entry into the bank， adopt suitable consent forms for outbound utilization and waste disposal， and pay special attention to ethical and legal issues related to human genetic resources.

OBJECTIVE To investigate the ameliorative effect and potential mechanism of imperatorin （IMP） on doxorubicin （DOX） resistance in breast cancer. METHODS The effects of maximum non-toxic concentration （100 μg/mL） of IMP combined with different concentrations of DOX （12.5， 25， 50， 75， 100 μg/mL） on the proliferation of MCF-7/DOX cells were determined by MTT method. MCF-7/DOX cells were divided into blank control group （1‰ dimethyl sulfoxide）， DOX group （50 μg/mL）， IMP+DOX group （100 μg/mL IMP+50 μg/mL DOX） and IMP group （100 μg/mL）. mRNA and protein expressions of multidrug resistance protein 1 （MDR1） and multidrug resistance-associated protein 1 in each group were measured. The relevant pathways and targets involved in the improvement of DOX resistance in breast cancer cells by IMP were screened and validated by using transcriptome sequencing technology， along with gene ontology （GO） enrichment analyses and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analyses. RESULTS Compared with DOX alone， the combination of IMP and DOX reduced the half inhibitory concentration of DOX on MCF-7/DOX cells from 81.965 μg/mL to 43.170 μg/mL， the reverse fold was 1.90， and the mRNA expression of MDR1 was significantly down-regulated （P＜0.05）. The results of GO enrichment analyses and KEGG pathway enrichment analyses indicated that the reversal of DOX resistance in breast cancer by IMP was mainly associated with the regulation of biological processes such as detoxification， multiple biological processes， and cell killing. The main pathway involved was the p53 signaling pathway， and the key targets mainly included constitutively photomorphogenic protein 1 （COP1）， cyclin E1 （CCNE1）， growth arrest and DNA damage-inducible protein 45A E-mail：tangxilan1983@163.com （GADD45A） and GADD45B. The results of the verification experiments showed that compared with DOX group， there was a trend of up-regulation of COP1 mRNA， and significant down- regulation of CCNE1， GADD45A， and GADD45B mRNA expression in IMP+DOX group （P＜0.05）. CONCLUSIONS The effect of IMP in ameliorating DOX resistance in breast cancer is related to its regulation of COP1， CCNE1， GADD45A and GADD45B targets in the p53 signaling pathway.

ObjectiveTo explore the spatial distribution patterns of flavonoid glycosides in Epimedium sagittatum and the influences of environmental factors on the accumulation of these components. MethodsThe spatial statistical analysis and GeoDetector model were used to analyze the distribution patterns of epimedin A，epimedin B，epimedin C，icariin，and total flavonoid glycosides in E. sagittatum samples from 92 different production areas in 36 cities of 13 provinces/municipalities/autonomous regions of China，as well as the effects of 28 environmental factors on the accumulation of each component. ResultsThe average content of flavonoid glycosides 64 （69.56%） producing areas and 30 （83.33%） cities met the quality standard of no less than 1.50% of total flavonoid glycosides in the 2020 edition of Chinese Pharmacopoeia.Epimedin A，epimedin B，epimedin C，icariin，and their sum showed significantly high accumulation.The hot spots regions of epimedin A and epimedin B were similar with each other，mainly located in western Hunan，eastern Hubei，eastern Guizhou，and northern Guangxi.The common hot spot areas of epimedin C and total flavonoid glycosides were in western and southwestern Hunan，southern Henan，northern Anhui，eastern Guizhou，and southern Chongqing.The hot spots areas of icariin were in southern Chongqing，western Hunan，and eastern and northeastern Guizhou.The interactions between environmental factors had stronger explanatory power for the accumulation of components than single factors.The strongest single factor and interactive factor affecting the accumulation of epimedin C were precipitation of wettest quarter （q=0.16） and its interaction with temperature seasonality （q=0.35），respectively.The strongest single factor influencing both the accumulation of icariin and total flavonoid glycosides was the precipitation of coldest quarter （q equals 0.15 and 0.22，respectively）.The strongest interactions were observed between precipitation of coldest quarter and gravel content （q=0.34），as well as between precipitation of coldest quarter and aspect （q=0.35）. ConclusionThirteen cities，including Zhumadian and Nanyang in Henan，Huaihua，Shaoyang，and Zhangjiajie in Hunan，and Zunyi，Qiandongnan，and Tongren in Guizhou，were hot spots of total flavonoid glycosides in E.sagittatum.Precipitation，gravel content，temperature seasonality，and aspect significantly influence the accumulation of flavonoid glycosides in E.sagittatum.This study provides reference for the utilization and production zoning of E.sagittatum.

Background::Substantial progress in air pollution control has brought considerable health benefits in China, but little is known about the spatio-temporal trends of economic burden from air pollution. This study aimed to explore their spatio-temporal features of disease burden from air pollution in China to provide policy recommendations for efficiently reducing the air pollution and related disease burden in an era of a growing economy.Methods::Using the Global Burden of Disease method and willingness to pay method, we estimated fine particulate matter (PM 2.5) and/or ozone (O 3) related premature mortality and its economic burden across China, and explored their spatio-temporal trends between 2005 and 2017. Results::In 2017, we estimated that the premature mortality and economic burden related to the two pollutants were RMB 0.94 million (68.49 per 100,000) and 1170.31 billion yuan (1.41% of the national gross domestic product [GDP]), respectively. From 2005 to 2017, the total premature mortality was decreasing with the air quality improvement, but the economic burden was increasing along with the economic growth. And the economic growth has contributed more to the growth of economic costs than the economic burden decrease brought by the air quality improvement. The premature mortality and economic burden from O 3 in the total loss from the two pollutants was substantially lower than that of PM 2.5, but it was rapidly growing. The O 3-contribution was highest in the Yangtze River Delta region, the Fen-Wei Plain region, and some western regions. The proportion of economic burden from PM 2.5 and O 3 to GDP significantly declined from 2005 to 2017 and showed a decreasing trend pattern from northeast to southwest. Conclusion::The disease burden from O 3 is lower than that of PM 2.5, the O 3-contribution has a significantly increasing trend with the growth of economy and O 3 concentration.

Objective:To construct a prognostic risk model for hepatocellular carcinoma(HCC),and elucidate the immune characteristics and immunotherapy response in patients with different prognostic stratification.Methods:RNA-seq data of TCGA-LIHC and ICGC(LIRI-JP),and gene microarray data of GSE14520 and GSE54236 in hepatocellular carcinoma,as well as clinical informa-tion of the corresponding samples were downloaded.First,screening of differentially expressed genes in tumor and non-tumor tissue samples from TCGA-LIHC,GSE14520 and GSE54236.For the common differential genes,univariate cox regression analysis was per-formed using TCGA-LIHC data to obtain HCC prognosis-related genes.Five genes were randomly selected as a panel,and the optimal prognostic marker panel was screened among 10 000 panels using Lasso-cox regression analysis combined with a five-fold cross-valida-tion method.TCGA-LIHC data were used as training set to construct the prognostic risk model,and ICGC data were used as validation set to test the model performance.Tumor immune dysfunction and exclusion(TIDE)algorithm and Immunophenotypic score(IPS)were used to predict immunotherapy efficacy in patients in different prognostic groups.Results:Overall survival was significantly lon-ger in low-risk group of HCC patients compared with high-risk group.Tumor proliferation rate,Treg and Th2 cell chemotaxis,stromal remodeling,and pro-tumor cytokines were significantly increased in high-risk patients,while NK cells,Th1 cells,effector cells and endothelial cells were significantly increased in low-risk patients.Immune checkpoint analysis showed that PDCD1,CTLA4 and CD276 were up-regulated in high-risk patients,while PDCD1LG2 was upregulated in low-risk patients.TIDE score and IPS results predicted that patients in low-risk group had better efficacy to immunotherapy.Conclusion:This study constructed a prognostic risk model containing three genes,DNASE1L3,RDH16 and DLGAP5,which can effectively predict the prognosis of HCC patients and assist in clinical decision making for individualized immunotherapy.

Objective:To understand the status quo and influencing factors of evidence-based nursing competencies among oncology nurses and provide a reference for enhancing this competency among oncology nurses.Methods:From September 2022 to January 2023, totally 300 practicing nurses from Zhejiang Cancer Hospital were selected by convenience sampling and surveyed with the Chinese version of the Evidence-Based Practice Belief-Knowledge-Practice Scale. Univariate analysis and multiple linear regression were employed to analyze factors affecting the evidence-based nursing competencies of these nurses.Results:The evidence-based nursing competency scores of the 300 oncology nurses were (44.50±10.78) . Among the three dimensions, the belief dimension had the highest average item score, while the practice dimension had the lowest. Multiple linear regression analysis revealed that gender, age, evidence-based training, participation in evidence-based projects, reading professional literature, publication of papers within the last five years and medical statistical level were influencing factors of their evidence-based nursing competencies (all P<0.05) . Conclusions:The evidence-based nursing competencies of oncology nurses are at a relatively low level. Nursing managers and educators should focus on female nurses, older nurses, intensify evidence-based nursing training efforts, and thus enhance the evidence-based nursing competencies and overall research quality of the nursing team.

Objective:To summarize the current research status, assessment tools, and influencing factors of fatigue in patients receiving maintenance hemodialysis (MHD) and provide a reference for the management of fatigue in this patient population.Methods:A literature search was conducted in databases including PubMed, Web of Science, ProQuest, Cochrane Library, Science Direct, Embase, CINAHL, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biology Medicine disc for studies related to fatigue in patients receiving MHD. The search timeframe was from establishing the databases to January 23, 2024.Results:A total of 46 studies were included. Various assessment tools for fatigue in patients receiving MHD were identified, though specific tools were limited. The Short Form 36 Vitality Subscale (SF-36 VS) was the most commonly used assessment tool. The main factors influencing fatigue in these patients included sociodemographic, dialysis-related, disease-related, physical, nutritional, and psychological factors.Conclusions:Fatigue is a significant symptom in patients receiving MHD. Healthcare professionals must develop specific tools for accurately assessing fatigue in this population and explore standardized management plans.

Objective To investigate the involvement of calmodulin(CaM)in the pathogenesis of Alzheimer disease(AD)and the mechanism by which CaM binds to amyloid-β(Aβ).Methods The hub genes expressed in AD and predicted to be the target proteins for AD prevention and treatment were obtained using bioinformatics methods.The GST-Aβ1-42 recombinant plasmid was constructed through genetic recombination and was then sequenced.The recombinant plasmids were identified using agarose gel electrophoresis,while the extracted and purified GST-Aβ1-42 fusion protein was confirmed using SDS-PAGE gel electrophoresis.GST pull-down assay was used to detect the interaction between GST-Aβ1-42 protein and CaM,expressed in the plasmid.Results The top 20 hub genes in degree ranking were obtained.The DNA sequencing results of the plasmid proved that the recombinant plasmid was successfully constructed.The agarose gel electrophoresis results indicated that the fragment digested by the enzyme was similar to the molecular weight of the Aβ1-42 gene seg-ments,further proving the successful construction of the recombinant plasmid.Binding of GST-Aβ1-42 protein to CaM in a concentration dependent manner was revealed through the GST pull down experiment.Conclusion The GST-Aβ1-42 recombinant plasmid is success-fully constructed and is shown to bind to CaM.