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.Construction of a visual model for predicting the risk of recurrence of thyroid cancer after radical surgery via areola endoscopy
Qing-feng SHI ; Bu-yong ZHANG ; Xuan ZHANG ; Yang BAI ; Ling-bo XUE ; Jie LI
Chinese Journal of Current Advances in General Surgery 2025;28(10):769-775
Objective:To explore the risk factors for recurrence of thyroid cancer after radical resection via areola endoscopy,and to construct a visual risk prediction model.Methods:The clinical data of 350 thyroid cancer patients who underwent radical surgery via areola endoscopy in our hospital from January 2016 to October 2018 were retro-spectively analyzed,and they were randomly divided into the modeling group(233 cases)and the internal validation group(117 cases)in a 2:1 ratio.All patients were followed up for 3 years after surgery,and the patients of modeling group were further divided into recurrent group(51)and non recurrent group(182)according to whether they with or not recurrence.Another 163 patients with thyroid cancer who underwent laparoscopic radical mastectomy at our hos-pital from January 2019 to May 2020 were selected as the external validation group.The risk factors for recurrence of thyroid cancer after radical surgery via areola endoscopy was analyzed by using Cox regression method,and a risk prediction nomogram model was established based on this.Internal validation of the nomogram model was conducted by using the Bootstrap method,and the calibration,predictive efficacy and clinical net benefit of the nomogram model were evaluated by the calibration curve,receiver operating characteristic(ROC)curve and decision curve analysis(DCA).The external validation group data was used for external validation.Results:The recurrence rate of thyroid cancer patients after 5 years of radical surgery via areola endoscopy was 21.64%(111/513).The proportions of multiple le-sions,preoperative lymph node metastasis,TNM stages Ⅲ-Ⅳ and maximum tumor diameter,the levels of thyro-globulin(TG),triiodothyronine(T3),thyroxine(T4),free triiodothyronine(FT3),free thyroxine(FT4)and thyroid stimulating hormone(TSH)in the recurrence group were higher than those in the non recurrence group(P<0.05).The Cox regres-sion analysis results showed that the maximum tumor diameter,multiple lesions,preoperative lymph node metasta-sis,TNM stage Ⅲ-Ⅳ and TG,T3,T4,FT3,FT4 and TSH levels were all risk factors for recurrence of thyroid cancer after radical surgery via areola endoscopy(P<0.05).The risk prediction nomogram model of recurrence of thyroid cancer af-ter radical surgery under areola endoscopy was constructed based on the above influencing factors.After internal and external validation,the consistency indices of the modeling group,internal verification group and external verification group were 0.832,0.825 and 0.41 respectively,and the calibration curves of three groups were close to the standard curve.The ROC curve analysis and verification showed that the area under the curve predicted by the nomogram model of the modeling group,internal verification group and external verification group were 0.859,0.847 and 0.853 respectively.The DCA curve showed that the nomogram model had good clinical net benefits when the threshold probability of the modeling group,internal verification group and external verification group were 0.03-0.82,0.02-0.78 and 0.06-0.88 respectively.Conclusion:The maximum tumor diameter,multiple lesions,preoperative lymph node metastasis,TNM staging stage Ⅲ-Ⅳ and levels of TG,T3,T4,FT3,FT4 and TSH are all risk factors for recurrence of thy-roid cancer after radical surgery via areola endoscopy,and the risk prediction visualization nomogram model con-structed based on this is helpful for clinical screening of high-risk patients to guide early intervention and reduce the risk of recurrence.
3.Research progress in regulation of exosomes on diabetes encephalopathy and intervention of traditional Chinese medicine
Jie BU ; Ying LI ; Xue-ling LIN ; Peng-wei ZHUANG ; Yan-jun ZHANG ; Qing-sheng YIN
Chinese Pharmacological Bulletin 2025;41(8):1431-1435
Diabetic encephalopathy(DE)is a complication of the central nervous system induced by diabetes,characterized by insidious onset and complex pathological mechanisms.Recent research has revealed that the pathological mechanisms of DE are closely associated with the imbalance of intercellular communica-tion across multiple organs.Exosomes,serving as vital media-tors of intercellular communication,are involved in the patholog-ical progression of DE and hold promise as diagnostic biomarkers and therapeutic targets for DE.Traditional Chinese medicine(TCM)can improve communication between brain cells and be-tween peripheral and brain tissues by regulating exosomes and their contents,thereby preventing and treating DE.Meanwhile,exosomes,as targeted delivery carriers of active molecules,can carry TCM monomers more easily across the blood-brain barrier to prevent and treat DE.In light of this,this review summarizes the regulatory role of exosomes in the pathological progression of DE and explores the enormous potential of TCM in the preven-tion and treatment of DE by regulating exosomes and using exo-somes as traditional Chinese medicine carriers,aiming to pro-vide new evidence for the prevention and treatment of DE with TCM.
4.Research progress in regulation of exosomes on diabetes encephalopathy and intervention of traditional Chinese medicine
Jie BU ; Ying LI ; Xue-ling LIN ; Peng-wei ZHUANG ; Yan-jun ZHANG ; Qing-sheng YIN
Chinese Pharmacological Bulletin 2025;41(8):1431-1435
Diabetic encephalopathy(DE)is a complication of the central nervous system induced by diabetes,characterized by insidious onset and complex pathological mechanisms.Recent research has revealed that the pathological mechanisms of DE are closely associated with the imbalance of intercellular communica-tion across multiple organs.Exosomes,serving as vital media-tors of intercellular communication,are involved in the patholog-ical progression of DE and hold promise as diagnostic biomarkers and therapeutic targets for DE.Traditional Chinese medicine(TCM)can improve communication between brain cells and be-tween peripheral and brain tissues by regulating exosomes and their contents,thereby preventing and treating DE.Meanwhile,exosomes,as targeted delivery carriers of active molecules,can carry TCM monomers more easily across the blood-brain barrier to prevent and treat DE.In light of this,this review summarizes the regulatory role of exosomes in the pathological progression of DE and explores the enormous potential of TCM in the preven-tion and treatment of DE by regulating exosomes and using exo-somes as traditional Chinese medicine carriers,aiming to pro-vide new evidence for the prevention and treatment of DE with TCM.
5.Construction of a visual model for predicting the risk of recurrence of thyroid cancer after radical surgery via areola endoscopy
Qing-feng SHI ; Bu-yong ZHANG ; Xuan ZHANG ; Yang BAI ; Ling-bo XUE ; Jie LI
Chinese Journal of Current Advances in General Surgery 2025;28(10):769-775
Objective:To explore the risk factors for recurrence of thyroid cancer after radical resection via areola endoscopy,and to construct a visual risk prediction model.Methods:The clinical data of 350 thyroid cancer patients who underwent radical surgery via areola endoscopy in our hospital from January 2016 to October 2018 were retro-spectively analyzed,and they were randomly divided into the modeling group(233 cases)and the internal validation group(117 cases)in a 2:1 ratio.All patients were followed up for 3 years after surgery,and the patients of modeling group were further divided into recurrent group(51)and non recurrent group(182)according to whether they with or not recurrence.Another 163 patients with thyroid cancer who underwent laparoscopic radical mastectomy at our hos-pital from January 2019 to May 2020 were selected as the external validation group.The risk factors for recurrence of thyroid cancer after radical surgery via areola endoscopy was analyzed by using Cox regression method,and a risk prediction nomogram model was established based on this.Internal validation of the nomogram model was conducted by using the Bootstrap method,and the calibration,predictive efficacy and clinical net benefit of the nomogram model were evaluated by the calibration curve,receiver operating characteristic(ROC)curve and decision curve analysis(DCA).The external validation group data was used for external validation.Results:The recurrence rate of thyroid cancer patients after 5 years of radical surgery via areola endoscopy was 21.64%(111/513).The proportions of multiple le-sions,preoperative lymph node metastasis,TNM stages Ⅲ-Ⅳ and maximum tumor diameter,the levels of thyro-globulin(TG),triiodothyronine(T3),thyroxine(T4),free triiodothyronine(FT3),free thyroxine(FT4)and thyroid stimulating hormone(TSH)in the recurrence group were higher than those in the non recurrence group(P<0.05).The Cox regres-sion analysis results showed that the maximum tumor diameter,multiple lesions,preoperative lymph node metasta-sis,TNM stage Ⅲ-Ⅳ and TG,T3,T4,FT3,FT4 and TSH levels were all risk factors for recurrence of thyroid cancer after radical surgery via areola endoscopy(P<0.05).The risk prediction nomogram model of recurrence of thyroid cancer af-ter radical surgery under areola endoscopy was constructed based on the above influencing factors.After internal and external validation,the consistency indices of the modeling group,internal verification group and external verification group were 0.832,0.825 and 0.41 respectively,and the calibration curves of three groups were close to the standard curve.The ROC curve analysis and verification showed that the area under the curve predicted by the nomogram model of the modeling group,internal verification group and external verification group were 0.859,0.847 and 0.853 respectively.The DCA curve showed that the nomogram model had good clinical net benefits when the threshold probability of the modeling group,internal verification group and external verification group were 0.03-0.82,0.02-0.78 and 0.06-0.88 respectively.Conclusion:The maximum tumor diameter,multiple lesions,preoperative lymph node metastasis,TNM staging stage Ⅲ-Ⅳ and levels of TG,T3,T4,FT3,FT4 and TSH are all risk factors for recurrence of thy-roid cancer after radical surgery via areola endoscopy,and the risk prediction visualization nomogram model con-structed based on this is helpful for clinical screening of high-risk patients to guide early intervention and reduce the risk of recurrence.
6.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.
7.Molecular Mechanism of Salvia miltiorrhiza Quality Formation Based on Single Nucleotide Polymorphism of Functional Genes
Wen-juan XU ; Bei-ning LI ; Ling-long LUO ; Chi ZHANG ; Xiao-bo ZHANG ; Jun-ling LI ; Lyu-bu AGA ; Xue-yong WANG
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(13):97-107
Objective:To investigate the relationship between the single nucleotide polymorphism(SNP)of function genes and effective components of
8. Role of microRNAs in progress of liver Hbrosis
Hong-Mei YOU ; Ling WANG ; Fang-Tian BU ; Hong-Wu MENG ; Xue-Yin PAN ; Ya-Fei ZHANG ; Ao WANG ; Cheng HUANG ; Jun LI
Chinese Pharmacological Bulletin 2021;37(2):171-175
Liver fibrosis is one of the main diseases with high morbidity and mortality worldwide. It is the common pathological results of several chronic irritant disease such as viral hepatitis ,alcohol abuse, autoimmune diseases, metabolic diseases and cholestatic liver diseases and will further develop into cirrhosis ,liver failure, portal hypertension and even death. The excessive accumulation of extracellular matrix (ECM) that leads to disorder of liver structure is the main factor in the development of liver fibrosis. MicroRNAs are a class of 2225 nt endogenous noncoding small RNAs. Sufficient studies have shown that the abnormal expression of microRNAs is closely related to the progression of liver fibrosis. In this review, we summarize the regulatory effects of microRNAs discovered in recent years on the activation ,proliferation apoptosis and senescence of HSCs in liver fibrosisand the underlying mechanisms, putting forward the prospect.
10.Efficacy and Safety of Teriflunomide in Chinese Patients with Relapsing Forms of Multiple Sclerosis: A Subgroup Analysis of the Phase 3 TOWER Study.
Wei QIU ; De-Hui HUANG ; Shi-Fang HOU ; Mei-Ni ZHANG ; Tao JIN ; Hui-Qing DONG ; Hua PENG ; Chao-Dong ZHANG ; Gang ZHAO ; Yi-Ning HUANG ; Dong ZHOU ; Wei-Ping WU ; Bao-Jun WANG ; Ji-Mei LI ; Xing-Hu ZHANG ; Yan CHENG ; Hai-Feng LI ; Ling LI ; Chuan-Zhen LU ; Xu ZHANG ; Bi-Tao BU ; Wan-Li DONG ; Dong-Sheng FAN ; Xue-Qiang HU ; Xian-Hao XU ; TOWER Trial Chinese Group
Chinese Medical Journal 2018;131(23):2776-2784
Background:
Disease-modifying therapy is the standard treatment for patients with multiple sclerosis (MS) in remission. The primary objective of the current analysis was to assess the efficacy and safety of two teriflunomide doses (7 mg and 14 mg) in the subgroup of Chinese patients with relapsing MS included in the TOWER study.
Methods:
TOWER was a multicenter, multinational, randomized, double-blind, parallel-group (three groups), placebo-controlled study. This subgroup analysis includes 148 Chinese patients randomized to receive either teriflunomide 7 mg (n = 51), teriflunomide 14 mg (n = 43), or placebo (n = 54).
Results:
Of the 148 patients in the intent-to-treat population, adjusted annualized relapse rates were 0.63 (95% confidence interval [CI]: 0.44, 0.92) in the placebo group, 0.48 (95% CI: 0.33, 0.70) in the teriflunomide 7 mg group, and 0.18 (95% CI: 0.09, 0.36) in the teriflunomide 14 mg group; this corresponded to a significant relative risk reduction in the teriflunomide 14 mg group versus placebo (-71.2%, P = 0.0012). Teriflunomide 14 mg also tended to reduce 12-week confirmed disability worsening by 68.1% compared with placebo (hazard ratio: 0.319, P = 0.1194). There were no differences across all treatment groups in the proportion of patients with treatment-emergent adverse events (TEAEs; 72.2% in the placebo group, 74.5% in the teriflunomide 7 mg group, and 69.8% in the teriflunomide 14 mg group); corresponding proportions for serious adverse events were 11.1%, 3.9%, and 11.6%, respectively. The most frequently reported TEAEs with teriflunomide versus placebo were neutropenia, increased alanine aminotransferase, and hair thinning.
Conclusions:
Teriflunomide was as effective and safe in the Chinese subpopulation as it was in the overall population of patients in the TOWER trial. Teriflunomide has the potential to meet unmet medical needs for MS patients in China.
Trial Registration
ClinicalTrials.gov, NCT00751881; https://clinicaltrials.gov/ct2/show/NCT00751881?term=NCT00751881&rank=1.
China
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Crotonates
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administration & dosage
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adverse effects
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therapeutic use
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Double-Blind Method
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Drug Administration Schedule
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Humans
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Immunosuppressive Agents
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administration & dosage
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adverse effects
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therapeutic use
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Multicenter Studies as Topic
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Multiple Sclerosis
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drug therapy
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metabolism
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Proportional Hazards Models
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Toluidines
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administration & dosage
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adverse effects
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therapeutic use

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