1.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
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.
2.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
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.
3.Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data.
Cong LI ; Xiao-Yan ZHANG ; Yun-Hong WU ; Xiao-Lei YANG ; Hua-Rong YU ; Hong-Bo JIN ; Ying-Bo LI ; Zhao-Hui ZHU ; Rui LIU ; Na LIU ; Yi XIE ; Lin-Li LYU ; Xin-Hong ZHU ; Hong TANG ; Hong-Fang LI ; Hong-Li LI ; Xiang-Jun ZENG ; Zai-Xing CHEN ; Xiao-Fang FAN ; Yan WANG ; Zhi-Juan WU ; Zun-Qiu WU ; Ya-Qun GUAN ; Ming-Ming XUE ; Bin LUO ; Ai-Mei WANG ; Xin-Wang YANG ; Ying YING ; Xiu-Hong YANG ; Xin-Zhong HUANG ; Ming-Fei LANG ; Shi-Min CHEN ; Huan-Huan ZHANG ; Zhong ZHANG ; Wu HUANG ; Guo-Biao XU ; Jia-Qi LIU ; Tao SONG ; Jing XIAO ; Yun-Long XIA ; You-Fei GUAN ; Liang ZHU
Acta Physiologica Sinica 2024;76(6):937-942
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*
4.Efficacy and safety of LY01005 versus goserelin implant in Chinese patients with prostate cancer: A multicenter, randomized, open-label, phase III, non-inferiority trial.
Chengyuan GU ; Zengjun WANG ; Tianxin LIN ; Zhiyu LIU ; Weiqing HAN ; Xuhui ZHANG ; Chao LIANG ; Hao LIU ; Yang YU ; Zhenzhou XU ; Shuang LIU ; Jingen WANG ; Linghua JIA ; Xin YAO ; Wenfeng LIAO ; Cheng FU ; Zhaohui TAN ; Guohua HE ; Guoxi ZHU ; Rui FAN ; Wenzeng YANG ; Xin CHEN ; Zhizhong LIU ; Liqiang ZHONG ; Benkang SHI ; Degang DING ; Shubo CHEN ; Junli WEI ; Xudong YAO ; Ming CHEN ; Zhanpeng LU ; Qun XIE ; Zhiquan HU ; Yinhuai WANG ; Hongqian GUO ; Tiwu FAN ; Zhaozhao LIANG ; Peng CHEN ; Wei WANG ; Tao XU ; Chunsheng LI ; Jinchun XING ; Hong LIAO ; Dalin HE ; Zhibin WU ; Jiandi YU ; Zhongwen FENG ; Mengxiang YANG ; Qifeng DOU ; Quan ZENG ; Yuanwei LI ; Xin GOU ; Guangchen ZHOU ; Xiaofeng WANG ; Rujian ZHU ; Zhonghua ZHANG ; Bo ZHANG ; Wanlong TAN ; Xueling QU ; Hongliang SUN ; Tianyi GAN ; Dingwei YE
Chinese Medical Journal 2023;136(10):1207-1215
BACKGROUND:
LY01005 (Goserelin acetate sustained-release microsphere injection) is a modified gonadotropin-releasing hormone (GnRH) agonist injected monthly. This phase III trial study aimed to evaluated the efficacy and safety of LY01005 in Chinese patients with prostate cancer.
METHODS:
We conducted a randomized controlled, open-label, non-inferiority trial across 49 sites in China. This study included 290 patients with prostate cancer who received either LY01005 or goserelin implants every 28 days for three injections. The primary efficacy endpoints were the percentage of patients with testosterone suppression ≤50 ng/dL at day 29 and the cumulative probability of testosterone ≤50 ng/dL from day 29 to 85. Non-inferiority was prespecified at a margin of -10%. Secondary endpoints included significant castration (≤20 ng/dL), testosterone surge within 72 h following repeated dosing, and changes in luteinizing hormone, follicle-stimulating hormone, and prostate specific antigen levels.
RESULTS:
On day 29, in the LY01005 and goserelin implant groups, testosterone concentrations fell below medical-castration levels in 99.3% (142/143) and 100% (140/140) of patients, respectively, with a difference of -0.7% (95% confidence interval [CI], -3.9% to 2.0%) between the two groups. The cumulative probabilities of maintaining castration from days 29 to 85 were 99.3% and 97.8%, respectively, with a between-group difference of 1.5% (95% CI, -1.3% to 4.4%). Both results met the criterion for non-inferiority. Secondary endpoints were similar between groups. Both treatments were well-tolerated. LY01005 was associated with fewer injection-site reactions than the goserelin implant (0% vs . 1.4% [2/145]).
CONCLUSION:
LY01005 is as effective as goserelin implants in reducing testosterone to castration levels, with a similar safety profile.
TRIAL REGISTRATION
ClinicalTrials.gov, NCT04563936.
Humans
;
Male
;
Antineoplastic Agents, Hormonal/therapeutic use*
;
East Asian People
;
Gonadotropin-Releasing Hormone/agonists*
;
Goserelin/therapeutic use*
;
Prostate-Specific Antigen
;
Prostatic Neoplasms/drug therapy*
;
Testosterone
5. Icariin improves myocardial fibrosis induced by isoproterenol via regulating expression of a-SMA and MMPs/TIMP
Xiao-Ying LIN ; Xing-Qiao REN ; Fan-Qun ZENG ; Bo HUANG ; Ye-Li LI ; Dan-Li YANG
Chinese Pharmacological Bulletin 2021;37(8):1087-1092
Abstract; Aim To explore the effect of icariin (ISO) in mice. Methods C57BL/6 mice were ran- (ICA) on myocardial fibrosis induced by isoproterenol domly divided into control group, ISO group, low-dose (15 mg • kg"1), middle-dose (30 mg • kg"1) and high-dose (60 mg • kg"1) of ICA-treated group and Losartan-treated group ( 9 mg • kg"1 ). The control group was subcutaneously injected with normal saline, and the other groups were subcutaneously injected with ISO (5 mg • kg"1, qd) continuously 14 days to established the myocardial fibrosis model. The ICA-treated groups and Losartan-treated group were simultaneously intragastrically administered of ICA or Losartan, respectively. And the other groups received the same a- mount of double distilled water. The left ventricular e- jection fraction (LVEF) and the left ventricular fraction shortening rate ( LVFS) were evaluated by the small animal ultrasound. The heart mass index (HMI) was calculated. The left ventricular collagen deposition was detected by Masson staining. The protein expressions of a-SMA, MMP-2, MMP-9 and TIMP-1 in the left ventricular tissue were detected by Western blot. Results ICA (30, 60 mg • kg"1) and Losartan could inhibit the decreased LVEF and LVFS, the increased HMI and left ventricular collagen deposition, the up- regulated a-SMA and MMP-9 protein expression, the down-regulated MMP-2 and TIMP-1 protein expression in the left ventricular tissues induced by ISO. Conclusions ICA can improve myocardial fibrosis induced by ISO in mice, and the underlying mechanism may be related to the regulation of the protein expression of a- SMA and MMPs/TIMP-1.
6. Role of eNOS/PKG-1 pathway in L-Arginine against right ventricular remodeling induced by monocrotaline in rats
Xing-Qiao REN ; Xiao-Tong LI ; Xiao-Ying LIN ; Fan-Qun ZENG ; Ye-Li LI ; Dan-Li YANG
Chinese Pharmacological Bulletin 2021;37(8):1117-1121
Aim To investigate the role of eNOS/PKG- 1 pathway in L-arginine (L-arg) intervention in right ventricular remodeling induced by monocrotaline (MCT) in Sprague Dawley (SD) rats with the aid of the tool medicine L-NAME. Methods Twenty SD rats were randomly divided into control group, MCT group, L-Arg group and L-Arg + L-NAME group. The general condition of rats was observed; the right ventricular pressure of rats was measured by right heart catheterization; the rats and the right ventricle were weighed and the right ventricular mass index was calculated; the morphological changes of the right ventricular were observed by H&E staining; the protein expressions of cTnl, eNOS and PKG-1 were detected by Western blot in the right ventricular. Results Compared with control group, right ventricular max pressure and right ventricular mass index significantly increased ( P < 05) ; the weight of rats in MCT group was significantly reduced ( P < 0. 05); the right ventricular myocytes were hypertrophic, disordered and infiltrated with inflammatory cells; the protein expression of cTnl was obviously up-regulated ( P < 0. 05 ) ; the protein expressions of eNOS and PKG-1 were significantly down- regulated ( P < 0. 05 ) . L-arg could significantly improve the above changes ( P < 0. 05 ). However, the effects of L-arg were inhibited by eNOS inhibitor L- NAME. Conclusions L-arg can improve the right ventricular remodeling in rats induced by MCT, and the mechanism may be related to the up-regulation of the protein levels of eNOS and PKG-1.
7.Isolation and identification of Arbovirus in Hainan province, 2017-2018
Na FAN ; Dingwei SUN ; Rui CHENG ; Shihong FU ; Linhai ZENG ; Qun WU ; Shan'gan LI ; Ying HE ; Wenwen LEI ; Fan LI ; Huanyu WANG ; Xiaoqing LU ; Guodong LIANG
Chinese Journal of Epidemiology 2020;41(2):236-243
Objective To understand the types and distribution of Arboviruses in Hainan province.Methods Blood-sucking insects were collected in Hainan province from 2017 to 2018.After laboratory treatment,BHK-21 cells and C6/36 cells were inoculated with grinding supernatant of all blood-sucking insects to isolate all of involving virus.Arbovirus genes in blood-sucking insects were detected in parallel by RT-PCR method.Results A total of 15 062 mosquitoes were classified into four genera (Culex,Armigeres,Aedes,Anopheles) and 11 360 midges were collected.Culex tritaeniorhynchus was in the majority and accounted for 92.88% (13 990/15 062) of all the mosquitoes collected.Four strains of virus isolates were notified by tissue culture method.Three strains of viruses belonged to Japanese encephalitis virus (JEV),with the other one as Getah virus (GETV).Five pools of JEV gene amplification were positive,from Culex tritaeniorhynchus.Results from the phylogenetic analysis showed that they belonged to genotype JEV-Ⅰ.The minimum infection rate of JEV was 0.57‰ (8/13 990).A total of 5 pools of Akabane virus (AKV) gene amplification were positive.The minimum infection rate of AKV was 0.44‰ (5/11 360).Based on the S gene and M gene sequences of the virus,data from the phylogenetic analysis showed that the five AKV strains carried by midges in Hainan province were in a separate evolutionary branch and with formed unique geographical distribution.Conclusions JEV and GETV had been isolated again from the mosquito specimens in this survey,since the 1980s.AKV was detected from the midge specimens in Hainan province.These results showed the needs of strengthening the programs on detection and monitor of JEV,GETV and AKV that were related to animal and human diseases in order to reduce the risks of related diseases in this area.
9.Preparation of recombinant retrovirus pRevTRE-E77.43 and its protective effect in a mouse model of Schistosoma japonicum infection
sheng Fan ZENG ; qun Sai LUO ; hui De XIONG ; jing Yuan YU ; jun Ying QIAN ; qiang Zhi QIN
Chinese Journal of Schistosomiasis Control 2017;29(6):730-735
Objective To explore the biological functions of E77.43, a gene segment of Microtus fortis, in treating Schistoso-ma japonicum infection. Methods Recombinant retroviral vectors of pRevTRE-E77.43 was constructed, and recombinant retro-viral vectors were transfected into PA317 cells, and the stable cell lines were obtained by hygromycin screening, followed by the packaging, concentration and purification of recombinant retrovirus. The virus was transferred to the mice infected by S. japoni-cum via intravenous or intraperitoneal injection, through which the express of target gene and the treatment function in vivo were observed. Results The experiment showed the recombinant virus injected mice could efficiently express E77.43 on the 7th day after the injection which lasted for forty-five days thereafter. A significant reduction in adult worms (31.0%) and a high reduction (35.0%) in liver eggs were induced by pRevTRE-E77.43, while the reduction in adult worms and that in liver eggs was 1.2%and 0.9%induced by pRevTRE respectively (t=3.524, 9.485, both P<0.01). Conclusion pRevTRE-E77.43 could be used for the treatment of S. japonicum infection, indicating that E77.43 may involve in the natural resistance of M. fortis to S. japonicum infec-tion.

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