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.Effects of citicoline on Keap1/Nrf2/ARE signaling pathway in mice with cerebral hemorrhage
Wei LU ; Hong YOU ; Min ZHANG ; Bao-Feng HE ; Rui MA ; Ya-Ya GAO ; Xin-Yu MA
The Chinese Journal of Clinical Pharmacology 2024;40(8):1175-1179
Objective To investigate the neuroprotective effect and potential mechanism of rehabilitation training combined with citicoline on cerebral hemorrhage model in mice based on Keap1/Nrf2/ARE signaling pathway.Methods The C57BL/6 male mice were randomly divided into sham operation group(sham operation treatment),model group(right caudate putamen hemorrhage model induced by type Ⅶcollagenase),choline group(model+choline 64 mg·kg-1),rehabilitation training group(rehabilitation training)and combined group(model+rehabilitation training+choline 64 mg·kg-1).The study observed the modified neurological severity score(mNSS)in mice with cerebral hemorrhage;colorimetric assays were used to detect the expression of malondialdehyde(MDA),superoxide dismutase(SOD)and catalase(CAT)in brain tissues;protein imprinting and reverse transcription-quantitative polymerase chain reaction were employed to assess the expression of Kelch-like ECH-associated protein 1(Keap1),nuclear factor erythroid 2-related factor 2(Nrf2)/antioxidant response element(ARE),heme oxygenase-1(HO-1),quinone oxidoreductase 1(NQ01)proteins and mRNA in brain tissues.Results The mNSS scores of sham operation group,model group,citicoline group,rehabilitation training group and combined group were 0,1.56±0.73,1.00±0.00,0.78±0.44 and 0.67±0.50;the MDA contents were(6.93±0.92),(22.97±0.77),(19.26±1.73),(13.21±0.78)and(7.25±0.97)nmol·mgprot-1;the relative expression of Keap1 protein were 0.79±0.03,1.02±0.04,0.95±0.10,0.90±0.09 and 0.86±0.05;the relative expression levels of Nrf2 protein were 0.94±0.12,0.71±0.08,0.90±0.07,0.98±0.12 and 1.33±0.25.There were significant differences in the above indexes between the model group and the sham operation group(P<0.05,P<0.01);there were significant differences between the citicoline group and the rehabilitation training group,the model group(P<0.05,P<0.01);there were significant differences between the combined group and the citicoline group,the rehabilitation training group except for protein expression of Keap1(all P<0.01).Conclusion Rehabilitation training and citicoline can reduce the symptoms of neurological deficits in mice with cerebral hemorrhage.The mechanism way be that they can activate the Keap1/Nrf2/ARE signaling pathway to exert anti-oxidative stress,and the combined effect is the best.
4.Full-field Anterior Chamber Angle Measurement Based on Optical Reflection Tomography
Bi-Wang LIU ; Jun-Ping ZHONG ; Hai-Na LIN ; Ya-Guang ZENG ; You-Ping YU ; Hong-Yi LI ; Ding-An HAN ; Jin-Ying CHEN
Progress in Biochemistry and Biophysics 2024;51(9):2240-2248
ObjectiveAngle-closure glaucoma (ACG) is one of the major eye-blinding diseases. To diagnose ACG, it is crucial to examine the anterior chamber angle. Current diagnostic tools include slit lamp gonioscopy, water gonioscopy, ultrasound biomicroscopy (UBM), and anterior segment optical coherence tomography (AS-OCT). Slit lamp and water gonioscopy allow convenient observation of the anterior chamber angle, but pose risks of invasive operation and eye infections. UBM can accurately measure the structure of the anterior chamber angle. However, it is complex to operate and unsuitable for patients, who have undergone trauma or ocular surgery. Although AS-OCT provides detailed images, it is costly. The aim of this study is to explore a non-invasive, non-destructive optical reflection tomography (ORT) technique. This technique can achieve low-cost three-dimensional imaging and full-field anterior chamber angle measurement of the porcine eye. MethodsThe experiment involved assembling an optical reflection tomography system, which included a complementary metal oxide semiconductor (CMOS) camera, a telecentric system, a stepper motor, and a white light source, achieving a spatial resolution of approximately 8.5 μm. The process required positioning the porcine eye at the center of the field of the imaging system and rotating it around its central axis using a stepper motor. Reflection projection images were captured at each angle with an exposure time of 1.0 ms and an interval of 2°. The collected reflection-projection data were processed using a filtered reflection tomography algorithm, generating a series of two-dimensional slice data. These slices essentially represented cross-sectional views of the three-dimensional structural image, and were reconstructed into a complete three-dimensional structural image. Based on the reconstructed three-dimensional structural image of the porcine eye, the anterior chamber angles at different positions were measured, and a distribution map of these angles was drawn. Simultaneously, the ORT measurements were compared with the standard results obtained from optical coherence tomography (OCT) to assess the accuracy of ORT measurements. ResultsIn this study, we successfully obtained the reflection projection data of a porcine eye using ORT technology, reconstructed its three-dimensional structural image, and measured the anterior chamber angle, generating the corresponding distribution map. To better distinguish the different structural parts of porcine eye, the three-dimensional structural image was marked with blue, green, and yellow dashed lines from the outer to the inner layers. The area between the blue and green dashed lines corresponded to the sclera. The area between the green and yellow dashed lines corresponded to the iris. The area inside the yellow dashed line corresponded to the pupil. The three-dimensional structural image clearly revealed the key anatomical features of the porcine eye. It was able to measure the anterior chamber angle at different positions. Additionally, the anterior chamber angle measurements of the porcine eye using ORT were compared with the measurements obtained using a TEL320C1 type OCT system, showing an average deviation of 0.51° and a mean square error
5.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*
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Humans
;
Consensus
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Computer Security/standards*
;
Confidentiality/ethics*
;
Informed Consent/ethics*
6.The mediating effect of perceived social support in the relationship between maternal personality traits and pregnancy-related anxiety.
Jia Shu ZHU ; Rui WANG ; Ye LI ; You Juan FU ; Hong Ya LIU ; Jia Qi LI ; Gui Xiang YAO ; Su Zhen GUAN
Chinese Journal of Preventive Medicine 2023;57(2):187-192
Objective: Exploring the mediating effect of perceived social support between the maternal personality traits and pregnancy-related anxiety. Methods: Singleton pregnant women who underwent antenatal checkups in the obstetrics department of general hospital affiliated to Ningxia Medical University from July to December 2021 were enrolled in this study to investigate perceived social support, pregnancy-related anxiety and conscious personality traits. Pearson correlation analysis was used to analyze the association between the maternal personality traits, perceived social support, and pregnancy-related anxiety, and the mediating effect of perceived social support was analyzed using Bootstrap method. Results: A total of 1 259 subjects were included in the study, of which 170 (13.50%) pregnant women felt introverted. The total score of perceived social support was (46.37±8.38), and 31.45% of pregnant women had high perceived social support. The total score of pregnancy-related anxiety was (21.48±5.53). The score of worry about fetal health was (10.09±3.24), and 368 (29.23%) of pregnant women had pregnancy-related anxiety. Maternal personality traits and pregnancy-related anxiety were negatively correlated (r=-0.076, P<0.05) and positively correlated with perceived social support during pregnancy (r= 0.127, P<0.05). Perceived social support during pregnancy and pregnancy-related anxiety were negatively correlated (r=-0.236, P<0.05). Perceived social support partially mediated the relationship between the maternal personality traits and pregnancy-related anxiety, with a relative effect value of 37.50%. Conclusion: The maternal personality traits, level of perceived social support and pregnancy-related anxiety are all related. Perceived social support could mediate the relationship between the maternal personality traits and pregnancy-related anxiety.
Female
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Pregnancy
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Humans
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Anxiety
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Pregnant Women
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Personality
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Social Support
;
Prenatal Care
7.Research progress on chemical constituents and pharmacological activities of Viola plants.
Min ZHANG ; You-Heng GAO ; Ye LI ; Ya-Qiong BI ; Chun-Hong ZHANG ; Min-Hui LI ; Zhi-Lai ZHAN
China Journal of Chinese Materia Medica 2023;48(5):1145-1175
There are 500 species of Viola(Violaceae) worldwide, among which 111 species are widely distributed in China and have a long medicinal history and wide varieties. According to the authors' statistics, a total of 410 compounds have been isolated and identified from plants of this genus, including flavonoids, terpenoids, phenylpropanoids, organic acids, nitrogenous compounds, sterols, saccharides and their derivatives, volatile oils and cyclotides. The medicinal materials from these plants boast anti-microbial, anti-viral, anti-oxidant and anti-tumor activities. This study systematically reviewed the chemical constituents and pharmacological activities of Viola plants to provide a basis for further research and clinical application.
Viola/chemistry*
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Plant Extracts/pharmacology*
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Flavonoids
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Terpenes/pharmacology*
;
China
8.Interpretation of the essential updates in guidelines for the prevention and treatment of chronic hepatitis B (Version 2022).
Hong YOU ; Ya Meng SUN ; Meng Yang ZHANG ; Yue Min NAN ; Xiao Yuan XU ; Tai Sheng LI ; Gui Qiang WANG ; Jin Lin HOU ; Zhongping DUAN ; Lai WEI ; Fu Sheng WANG ; Ji Dong JIA ; Hui ZHUANG
Chinese Journal of Hepatology 2023;31(4):385-388
Chinese Society of Hepatology and Chinese Society of Infectious Diseases, Chinese Medical Association update the guidelines for the prevention and treatment of chronic hepatitis B (version 2022) in 2022. The latest guidelines recommend more extensive screening and more active antiviral treating for hepatitis B virus infection. This article interprets the essential updates in the guidelines to help deepen understanding and better guide the clinical practice.
Humans
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Hepatitis B, Chronic/drug therapy*
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Hepatitis B/drug therapy*
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Hepatitis B virus
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Antiviral Agents/therapeutic use*
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Gastroenterology
9.Histopathological evaluation of cirrhosis reversal.
Wen ZHANG ; Ya Meng SUN ; Shu Yan CHEN ; Hong YOU
Chinese Journal of Hepatology 2023;31(7):677-680
A normal liver can develop cirrhosis through long-term and repeated stimulation from various etiologies. Histological manifestations like the collapse of hepatic lobular structure (including microvascular structure) and the formation of pseudolobules can lead to portal hypertension and even decompensated cirrhosis. More and more evidence suggests that effective etiological treatment can not only delay but also reverse the progression of cirrhosis. The mechanism of cirrhosis reversal mainly includes the degradation of extracellular matrix, hepatocyte regeneration, and hepatic lobular remodeling. The "gold standard" for the evaluation of cirrhosis reversal at present is still a liver biopsy. Therefore, the histopathological evaluation of cirrhosis reversal is very important for determining the disease's prognosis, efficacy, and mechanism of exploration.
Humans
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Liver Cirrhosis/pathology*
;
Liver/pathology*
;
Hypertension, Portal
;
Hepatocytes/pathology*
;
Prognosis
10.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
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Humans
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Male
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Pregnancy
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Female
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Nomograms
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Retrospective Studies
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Cesarean Section
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Risk Factors
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Asphyxia Neonatorum/etiology*

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