With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.

Objective: To evaluate the safety and efficacy of anlotinib plus irinotecan in the second-line treatment of patients with metastatic colorectal cancer (mCRC). Methods: This prospective phase 1/2 study was conducted in 2 centers in China (Cancer Hospital of Chinese Academy of Medical Sciences and Jiangsu Province Hospital). We enrolled patients with mCRC whose disease had progressed after first-line systemic therapy and had not previously treated with irinotecan to receive anlotinib plus irinotecan. In the phase 1 of the trial, patients received anlotinib (8 mg, 10 mg or 12 mg, po, 2 weeks on/1 week off) in combination with fixed-dose irinotecan (180 mg/m(2), iv, q2w) to define the maximum tolerated dose (MTD) and recommended phase 2 dose (RP2D). In the phase 2, patients were treated with the RP2D of anlotinib and irinotecan. The primary endpoints were MTD and objective response rate (ORR). Results: From May 2018 to January 2020, a total of 31 patients with mCRC were enrolled. Anlotinib was well tolerated in combination with irinotecan with no MTD identified in the phase 1, and the RP2D was 12 mg. Thirty patients were evaluable for efficacy analysis. Eight patients achieved partial response, and 21 had stable disease, 1 had progressive disease. The ORR was 25.8% and the disease control rate was 93.5%. With a median follow-up duration of 29.5 months, the median progression-free survival and overall survival were 6.9 months (95% CI: 3.7, 9.3) and 17.6 months (95% CI: 12.4, not evaluated), respectively. The most common grade 3 treatment-related adverse events (≥10%) were neutropenia (25.8%) and diarrhea (16.1%). There was no treatment-related death. Conclusion: The combination of anlotinib and irinotecan has promising anti-tumor activity in the second-line treatment of mCRC with a manageable safety profile.
Humans ; Antineoplastic Combined Chemotherapy Protocols/adverse effects* ; Colorectal Neoplasms/pathology* ; Indoles/therapeutic use* ; Irinotecan/therapeutic use* ; Prospective Studies

Aim To investigate the effects of daidzeinDD on the proliferation and apoptosis of non-small cell lung cancer cells,with a focus on the possible role of the p53 signaling pathway in this regard. Methods CCK-8 method and flow cytometry were used to detect the effects of soy isoflavone crude extract and DD on the viability and apoptosis of HELF and H1299 cells. Gene microarray was used to detect the changes in gene expression after treatment of H1299 cells with DD. GSEA and differential analysis were used to screen the major pathways and key genes. RT-qPCR and Western blot were performed to verify the differences in mRNA and protein expression of key genesp53 and CASP9 in the major pathways. After p53 inhibitor Pifithrin-α inhibited the expression of p53,the effect of DD on p53 mRNA and protein expression levels was examined,and the proliferative effect on H1299 cells was observed. Results Soy isoflavone crude extract and DD promoted proliferation and inhibited apoptosis of normal lung cells and inhibited proliferation and promoted apoptosis of lung cancer cells. p53 signaling pathway was significantly enriched in the DD-treated groupNES=1.78,P=0.000,and the expressions of p53 and CASP9 genes were found to be significantly up-regulated in the treated group. Compared with the control group,mRNA expression of CASP9 and p53 significantly increased in both HELF and H1299 cells treated with DDP<0.05,and p53 protein expression also increased in HELF cellsP<0.05. After inhibition of p53 expression,DD significantly increased the mRNA expression of p53 in H1299 and HELF cellsP<0.05 and also markedly increased the expression of p53 protein in H1299 cellsP<0.05,and it was observed that DD inhibited the proliferation of lung cancer cells. Conclusions DD inhibits the proliferation and promotes the apoptosis of lung cancer H1299 cells,and the mechanism mainly involves the p53 signaling pathway.

OBJECTIVE: Traditional epidemiological studies have shown that C-reactive protein (CRP) is associated with the risk of cardiovascular diseases (CVDs). However, whether this association is causal remains unclear. Therefore, Mendelian randomization (MR) was used to explore the causal relationship of CRP with cardiovascular outcomes including ischemic stroke, atrial fibrillation, arrhythmia and congestive heart failure. METHODS: We performed two-sample MR by using summary-level data obtained from Japanese Encyclopedia of Genetic association by Riken (JENGER), and we selected four single-nucleotide polymorphisms associated with CRP level as instrumental variables. MR estimates were calculated with the inverse-variance weighted (IVW), penalized weighted median and weighted median. MR-Egger regression was used to explore pleiotropy. RESULTS: No significant causal association of genetically determined CRP level with ischemic stroke, atrial fibrillation or arrhythmia was found with all four MR methods (all Ps > 0.05). The IVW method indicated suggestive evidence of a causal association between CRP and congestive heart failure ( OR: 1.337, 95% CI: 1.005-1.780, P = 0.046), whereas the other three methods did not. No clear pleiotropy or heterogeneity were observed. CONCLUSIONS Suggestive evidence was found only in analysis of congestive heart failure; therefore, further studies are necessary. Furthermore, no causal association was found between CRP and the other three cardiovascular outcomes.
C-Reactive Protein/metabolism* ; Cardiovascular Diseases/metabolism* ; Genetic Predisposition to Disease ; Genotype ; Humans ; Japan ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; Risk Factors

Objective:To construct the targeting evaluation method of traditional Chinese medicine （TCM） preparations based on supramolecular Qi chromatography theory， and to study the liver targeting effect of Bupleuri Radix on Pien Tze Huang. Method:The molecular connectivity index （MCI） was used to analyze the characteristics of imprinted template and liver targeting tendency of TCM mainly attributed to liver meridian and components of Pien Tze Huang， and combined with target dynamics and total statistical moment principle， aimed at the independent action characteristics of multi-component imprinted template of TCM， a method for evaluating the targeting of TCM preparations was established. Hepatoma rats in Pien Tze Huang group， Bupleuri Radix group， Pien Tze Huang+Bupleuri Radix group and blank group were tested and verified. Result:After the average value of MCI of TCM mainly attributed to liver meridian was deducted， the MCI similarity between Pien Tze Huang group and Bupleuri Radix group was 0.376 8， Pien Tze Huang+Bupleuri Radix group and Bupleuri Radix group was 0.988 2， so it was predicted that Bupleuri Radix could enhance the liver targeting of Pien Tze Huang. A system for evaluating the targeting of TCM compounds was established， including relative total uptake efficiency （RUE_T）， relative total concentration （RC_T）， relative imprinted tendency （RIT_T） and relative imprinted variance （RIV_T）. The RUE_T and RC_T of liver were the highest in all tissues （RUE_T=1.88>1，RC_T=2.30>1）， and the corresponding values of other tissues were all <1， indicating that Pien Tze Huang combined with Bupleuri Radix could increase its distribution in liver and enhance liver targeting. Except for plasma， the RIT_T and RIV_T of other tissues fluctuated around 1.0， indicating that targeted modification did not change imprinted tendency of Pien Tze Huang and had no significant effect on the types of components. Conclusion:Under the guidance of supramolecular Qi chromatography theory， a targeting evaluation parameter system can be established to characterize the multi-component imprinted effect of TCM preparations by MCI and total statistical moment parameters， so as to realize the evaluation of targeting of TCM preparations. The addition of Bupleuri Radix can increase the liver targeting of Pien Tze Huang.

COVID-19/genetics* ; Genetic Predisposition to Disease ; Humans ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; Risk Factors ; SARS-CoV-2 ; Vitamin D/blood*