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.Clinical Observation on Shuangye San in the Treatment of Type 2 Diabetes Mellitus Complicated with Non-alcoholic Fatty Liver Disease of Spleen Deficiency and Phlegm Stasis Type
Dao-Cheng ZHOU ; Gui-Ji RUAN ; You-You SHUAI ; Wen-Hua XU ; De-Liang LIU ; Heng-Xia ZHAO ; Hui-Lin LI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(10):2687-2694
Objective To observe the clinical efficacy of Shuangye San(the prescription mainly composed of Mori Folium and Nelumbinis Folium)in the treatment of type 2 diabetes mellitus(T2DM)complicated with non-alcoholic fatty liver disease(NAFLD)of spleen deficiency and phlegm stasis type.Methods A total of 80 patients with T2DM complicated with NAFLD of spleen deficiency and phlegm stasis type were randomly divided into a treatment group and a control group,with 40 cases in each group.The control group was treated with conventional western medicine for lowering blood glucose and lipid,protecting liver and lowering enzymes.The treatment group was treated with the granules of Shuangye San orally on the basis of treatment for the control group.The course of treatment lasted for three months.The changes of traditional Chinese medicine(TCM)syndrome scores,homeostasis model assessment of insulin resistance(HOMA-IR),fasting insulin(FINS),fasting blood glucose(FBG),2-hour postprandial blood glucose(2hPG),glycosylated hemoglobin(HbA1C),total cholesterol(TC),triglyceride(TG),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),liver function indicators and B-ultrasound grading of fatty liver in the two groups were observed before and after treatment.After treatment,the clinical efficacy and safety of the two groups were evaluated.Results(1)After three months of treatment,the total effective rate of the treatment group was 85.00%(34/40),and that of the control group was 70.00%(28/40).The intergroup comparison(tested by chi-square test)showed that the efficacy of the treatment group was significantly superior to that of the control group(P<0.01).(2)After treatment,the scores of TCM symptoms of obese physique,heaviness and weakness in the limbs,shortness of breath and unwilling to talk,tightness and stabbing pain in the chest,abdominal distension and poor appetite in the two groups were decreased compared with those before treatment(P<0.05),and the decrease of TCM syndrome scores in the treatment group was significantly superior to that in the control group(P<0.05).(3)After treatment,the levels of glucose and lipid metabolism indicators of FINS,HOMA-IR,FBG,2hPG,HbA1C,TC,TG and LDL-C in the two groups were significantly decreased compared with those before treatment(P<0.05),and the level of HDL-C was significantly increased compared with that before treatment(P<0.05).The decrease of FINS,HOMA-IR,FBG,2hPG,HbA1C,TC,TG and LDL-C levels and the increase of HDL-C levels in the treatment group were significantly superior to those in the control group(P<0.05).(4)After treatment,the levels of liver function indicators of alanine aminotransferase(ALT),aspartate aminotransferase(AST)and gamma-glutamyl transpeptidase(GGT)in the two groups were significantly decreased compared with those before treatment(P<0.05),and the decrease of liver function indicators in the treatment group was significantly superior to that in the control group(P<0.05).(5)After treatment,the B-ultrasound grading of fatty liver of the two groups was significantly improved compared with that before treatment(P<0.05),and the improvement of fatty liver B-ultrasound grading in the treatment group was significantly superior to that in the control group,and the difference was statistically significant(P<0.05).(6)During the treatment,there were no adverse reactions such as impairment of liver and kidney function and abnormalities in routine blood,urine and stool test in the two groups.Conclusion Shuangye San exerts certain effect in the treatment of T2DM complicated with NAFLD of spleen deficiency and phlegm stasis type.It can alleviate the clinical symptoms of patients,correct the disorder of glucose and lipid metabolism,and improve liver function and fatty liver B-ultrasound grading.
4.Risk factors for neonatal asphyxia and establishment of a nomogram model for predicting neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture: a multicenter study.
Fang JIN ; Yu CHEN ; Yi-Xun LIU ; Su-Ying WU ; Chao-Ce FANG ; Yong-Fang ZHANG ; Lu ZHENG ; Li-Fang ZHANG ; Xiao-Dong SONG ; Hong XIA ; Er-Ming CHEN ; Xiao-Qin RAO ; Guang-Quan CHEN ; Qiong YI ; Yan HU ; Lang JIANG ; Jing LI ; Qing-Wei PANG ; Chong YOU ; Bi-Xia CHENG ; Zhang-Hua TAN ; Ya-Juan TAN ; Ding ZHANG ; Tie-Sheng YU ; Jian RAO ; Yi-Dan LIANG ; Shi-Wen XIA
Chinese Journal of Contemporary Pediatrics 2023;25(7):697-704
OBJECTIVES:
To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia.
METHODS:
A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively.
RESULTS:
Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia.
CONCLUSIONS
The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn
;
Humans
;
Male
;
Pregnancy
;
Female
;
Nomograms
;
Retrospective Studies
;
Cesarean Section
;
Risk Factors
;
Asphyxia Neonatorum/etiology*
5.Icariin Inhibits Proliferation of CLC5 Hepatoma Cells via Akt/GSK3β/CDK Pathway
Yu-ting BI ; Dong-ming HUA ; Jia-cheng LIN ; Li-ping YOU ; Chao ZHENG ; Hai-long WU ; Xue-hua SUN
Chinese Journal of Experimental Traditional Medical Formulae 2022;28(12):96-102
ObjectiveTo study the effect of icariin on the proliferative capacity of hepatocellular carcinoma cell line CLC5 and the underlying mechanism. MethodThe targets of icariin were screened out by network pharmacology, and the target network and protein-protein interaction (PPI) network were constructed to predict the possible targets and pathways of icariin. CCK-8 assay was employed to explore the effects of different concentrations (0, 6.25, 12.5, 25, 50 μmol·L-1) of icariin on the viability of CLC5 cells. Further, CLC5 cells were treated with 0, 25, 50 μmol·L-1 icariin, and the effect of icariin on CLC5 cell proliferation was examined by Edu-488 assay and clone formation assay (CFA). Western blot was employed to measure the expression levels of proteins in the protein kinase B (Akt)/glycogen synthase kinase 3β (GSK3β)/cell cycle-dependent kinase (CDK) pathway in the CLC5 cells exposed to different concentrations of icariin. ResultNetwork pharmacological analysis revealed that icariin may inhibit the hepatocellular carcinoma via cell cycle arrest and inhibition of tumor cell proliferation. Compared with the blank group, icariin decreased the viability of CLC5 cells in a time- and concentration-dependent manner (P<0.01) and reduced the positive rate of Edu-488 and the colonies in CFA (P<0.05, P<0.01). Moreover, icariin down-regulated the protein levels of p-Akt, p-GSK3β, CDK4, and CyclinD1 (P<0.05, P<0.01). ConclusionIcariin may block cell cycle to suppress the proliferation of CLC5 cells via inhibiting the Akt/GSK3β/CDK pathway.
6.Molecular diagnosis and treatment of meningiomas: an expert consensus (2022).
Jiaojiao DENG ; Lingyang HUA ; Liuguan BIAN ; Hong CHEN ; Ligang CHEN ; Hongwei CHENG ; Changwu DOU ; Dangmurenjiapu GENG ; Tao HONG ; Hongming JI ; Yugang JIANG ; Qing LAN ; Gang LI ; Zhixiong LIU ; Songtao QI ; Yan QU ; Songsheng SHI ; Xiaochuan SUN ; Haijun WANG ; Yongping YOU ; Hualin YU ; Shuyuan YUE ; Jianming ZHANG ; Xiaohua ZHANG ; Shuo WANG ; Ying MAO ; Ping ZHONG ; Ye GONG
Chinese Medical Journal 2022;135(16):1894-1912
ABSTRACT:
Meningiomas are the most common primary intracranial neoplasm with diverse pathological types and complicated clinical manifestations. The fifth edition of the WHO Classification of Tumors of the Central Nervous System (WHO CNS5), published in 2021, introduces major changes that advance the role of molecular diagnostics in meningiomas. To follow the revision of WHO CNS5, this expert consensus statement was formed jointly by the Group of Neuro-Oncology, Society of Neurosurgery, Chinese Medical Association together with neuropathologists and evidence-based experts. The consensus provides reference points to integrate key biomarkers into stratification and clinical decision making for meningioma patients.
REGISTRATION
Practice guideline REgistration for transPAREncy (PREPARE), IPGRP-2022CN234.
Humans
;
Meningioma/pathology*
;
Consensus
;
Neurosurgical Procedures
;
Meningeal Neoplasms/pathology*
7.Functional Connectivity from Hypothalamus and Whole Brain Anisotropy in Patients with Dysphagia after Stroke: A Study with Magnetic Resonance Imaging
Zhi-cheng LIN ; Yong-mei YOU ; Jun WANG ; Wei WEI ; Min XIA ; Xie-hua XUE
Chinese Journal of Rehabilitation Theory and Practice 2021;27(5):504-509
Objective:To investigate the changes of the functional connectivity of hypothalamus and the whole brain anisotropy in patients with dysphagia after stroke using magnetic resonance imaging. Methods:From December, 2018 to December, 2019, 14 patients with dysphagia after stroke and 15 healthy controls matched in age, sex and dominant hemisphere were selected. The functional connections from bilateral hypothalamus were researched with resting-state functional nuclear magnetic resonance, and the correlation between functional connection and scores of Eating Assessment Tool-10 (EAT-10) was analyzed. Meanwhile, the whole brain white matter integrity was observed with diffusion tensor imaging, and the fraction anisotropy (FA) was compared. Results:Compared with the controls, the functional connections from left hypothalamus to left precentral gyrus, left postcentral gyrus, left marginal lobe, left parietal lobe and left occipital lobe decreased in the patients; while the functional connections to left thalamus, left midbrain and right occipital lobe increased; the functional connections from right hypothalamus to right precentral gyrus, bilateral marginal lobe, bilateral superior temporal gyrus and right parietal lobe decreased; the functional connection to bilateral parietal lobe and bilateral occipital lobe increased. There was negative correlation of EAT-10 scores to functional connection from left hypothalamus to left precentral gyrus (
8.Effect of Zishenwan on Pyroptosis and Epithelial-Mesenchymal Transition of Renal Tubular Epithelial Cells in Diabetic Nephropathy Mice
Xiao-yuan GUO ; Cheng-fei ZHANG ; You WU ; Li-li WU ; Ling-ling QIN ; Tong-hua LIU
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(21):27-36
Objective:To study the efficacy and mechanism of Zishenwan (ZSW) against pyroptosis and epithelial-mesenchymal transition (EMT) of renal tubular epithelial cells in diabetic nephropathy (DN) mice, so as to provide evidence for the treatment of DN with ZSW. Method:The
9.Evaluation of low-quality fundus image enhancement based on cycle-constraint adversarial network
Xueting ZHOU ; Weihua YANG ; Xiao HUA ; Qijing YOU ; Jing SUN ; Jianxin SHEN ; Cheng WAN
Chinese Journal of Experimental Ophthalmology 2021;39(9):769-775
Objective:To propose and evaluate the cycle-constraint adversarial network (CycleGAN) for enhancing the low-quality fundus images such as the blurred, underexposed and overexposed etc.Methods:A dataset including 700 high-quality and 700 low-quality fundus images selected from the EyePACS dataset was used to train the image enhancement network in this study.The selected images were cropped and uniformly scaled to 512×512 pixels.Two generative models and two discriminative models were used to establish CycleGAN.The generative model generated matching high/low-quality images according to the input low/high-quality fundus images, and the discriminative model determined whether the image was original or generated.The algorithm proposed in this study was compared with three image enhancement algorithms of contrast limited adaptive histogram equalization (CLAHE), dynamic histogram equalization (DHE), and multi-scale retinex with color restoration (MSRCR) to perform qualitative visual assessment with clarity, BRISQUE, hue and saturation as quantitative indicators.The original and enhanced images were applied to the diabetic retinopathy (DR) diagnostic network to diagnose, and the accuracy and specificity were compared.Results:CycleGAN achieved the optimal results on enhancing the three types of low-quality fundus images including the blurred, underexposed and overexposed.The enhanced fundus images were of high contrast, rich colors, and with clear optic disc and blood vessel structures.The clarity of the images enhanced by CycleGAN was second only to the CLAHE algorithm.The BRISQUE quality score of the images enhanced by CycleGAN was 0.571, which was 10.2%, 7.3%, and 10.0% higher than that of CLAHE, DHE and MSRCR algorithms, respectively.CycleGAN achieved 103.03 in hue and 123.24 in saturation, both higher than those of the other three algorithms.CycleGAN took only 35 seconds to enhance 100 images, only slower than CLAHE.The images enhanced by CycleGAN achieved accuracy of 96.75% and specificity of 99.60% in DR diagnosis, which were higher than those of oringinal images.Conclusions:CycleGAN can effectively enhance low-quality blurry, underexposed and overexposed fundus images and improve the accuracy of computer-aided DR diagnostic network.The enhanced fundus image is helpful for doctors to carry out pathological analysis and may have great application value in clinical diagnosis of ophthalmology.

Result Analysis
Print
Save
E-mail