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.Analysis of factors influencing social isolation in elderly people with chronic diseases based on socio-ecological system theory
Liyuan JIA ; Mei YOU ; Lulu ZHANG ; Yuqin JIANG ; Yuan DING ; Yiling LIU ; Xiaohan MAO ; Annuo LIU
Chinese Journal of Modern Nursing 2025;31(14):1903-1907
Objective:To understand the status and influencing factors of social isolation in elderly individuals with chronic diseases.Methods:A multi-stage sampling method was used to select elderly individuals from eight communities or villages in Hefei from July to September 2022. The study employed a general information survey, the Lubben Social Network Scale (LSNS-6) , the Geriatric Depression Scale (GDS-15) , the Social Support Rating Scale (SSRS) , and the Personal Social Capital Scale 16 (PSCS-16) . Binary Logistic regression analysis was used to explore the factors influencing social isolation in elderly individuals with chronic diseases.Results:A total of 1 133 elderly individuals were surveyed, among which 538 had chronic diseases. Among the 538 elderly individuals with chronic diseases, 209 were socially isolated, resulting in a social isolation rate of 38.8%. Binary Logistic regression analysis revealed that living area, fear of falling, depression, social capital, and social support were significant factors influencing social isolation ( P<0.05) . Conclusions:The social isolation rate among elderly individuals with chronic diseases is high. Special attention should be given to elderly individuals living in rural areas, those who fear falling, and those experiencing depression. Additionally, improving social capital and social support can help alleviate social isolation in these elderly individuals.
3.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.
4.Analysis of factors influencing social isolation in elderly people with chronic diseases based on socio-ecological system theory
Liyuan JIA ; Mei YOU ; Lulu ZHANG ; Yuqin JIANG ; Yuan DING ; Yiling LIU ; Xiaohan MAO ; Annuo LIU
Chinese Journal of Modern Nursing 2025;31(14):1903-1907
Objective:To understand the status and influencing factors of social isolation in elderly individuals with chronic diseases.Methods:A multi-stage sampling method was used to select elderly individuals from eight communities or villages in Hefei from July to September 2022. The study employed a general information survey, the Lubben Social Network Scale (LSNS-6) , the Geriatric Depression Scale (GDS-15) , the Social Support Rating Scale (SSRS) , and the Personal Social Capital Scale 16 (PSCS-16) . Binary Logistic regression analysis was used to explore the factors influencing social isolation in elderly individuals with chronic diseases.Results:A total of 1 133 elderly individuals were surveyed, among which 538 had chronic diseases. Among the 538 elderly individuals with chronic diseases, 209 were socially isolated, resulting in a social isolation rate of 38.8%. Binary Logistic regression analysis revealed that living area, fear of falling, depression, social capital, and social support were significant factors influencing social isolation ( P<0.05) . Conclusions:The social isolation rate among elderly individuals with chronic diseases is high. Special attention should be given to elderly individuals living in rural areas, those who fear falling, and those experiencing depression. Additionally, improving social capital and social support can help alleviate social isolation in these elderly individuals.
5.Mediating effects of loneliness between social support and readiness for discharge in elderly patients with diabetes mellitus type 2
Nannan HAN ; Annuo LIU ; Zixuan WEI ; Mei YOU ; Yuan DING
Chinese Journal of Modern Nursing 2023;29(23):3125-3130
Objective:To investigate the current status of social support, readiness for discharge, and loneliness in elderly patients with diabetes mellitus type 2 (T2DM) and the relationship among them.Methods:A total of 230 elderly T2DM patients treated in the Endocrinology Department of the First Affiliated Hospital of Anhui Medical University from April to October 2022 were selected as research objects by the convenient sampling method. Patients were surveyed using a general information questionnaire, Readiness for Discharge Scale, Perceived Social Support Scale and UCLA Loneliness Scale. The Spearman correlation analysis was used to investigate the correlation between social support, loneliness and discharge readiness in elderly T2DM patients. Model 4 in SPSS Process 4.0 software was used to examine the mediating effects of discharge readiness, social support and loneliness in elderly patients with T2DM. A total of 230 questionnaires were sent out and 222 were effectively received, with effective recovery of 96.5% (222/230) .Results:The total scores of Readiness for Discharge Scale, Perceived Social Support Scale and UCLA Loneliness Scale in 222 elderly T2DM patients were 104.00 (91.00, 113.00), 65.00 (57.50, 72.00) and 36.50 (26.00, 44.25), respectively. Spearman correlation analysis showed that social support was positively correlated with discharge readiness ( r=0.448, P<0.05), and loneliness was negatively correlated with social support and readiness for discharge ( r=-0.563, -0.512, P<0.05). The mediating effect analysis showed that loneliness played a partial mediating role between social support and hospital readiness, with an effect ratio of 42.8%. Conclusions:Clinical medical staff should pay attention to the psychological state of patients, alleviate the loneliness of elderly T2DM patients, improve the level of social support, so as to improve the readiness of patients for discharge and increase the self-management ability of elderly diabetes mellitus type 2 patients after discharge.
6.Effects of interpregnancy interval on pregnancy outcomes of subsequent pregnancy: a multicenter retrospective study
Juan JUAN ; Huixia YANG ; Yumei WEI ; Geng SONG ; Rina SU ; Xu CHEN ; Qiuhong YANG ; Jianying YAN ; Mei XIAO ; Ying LI ; Shihong CUI ; Yali HU ; Xianlan ZHAO ; Shangrong FAN ; Ling FENG ; Meihua ZHANG ; Yuyan MA ; Zishan YOU ; Haixia MENG ; Haiwei LIU ; Ying ZHU ; Chunfeng WU ; Yan CAI ; Kejia HU ; Hongjuan DING
Chinese Journal of Obstetrics and Gynecology 2021;56(3):161-170
Objective:To explore the effects of interpregnancy interval (IPI) on pregnancy outcomes of subsequent pregnancy.Methods:A multicenter retrospective study was conducted in 21 hospitals in China. Information of age, height, pre-pregnancy weight, IPI, history of diseases, complications of pregnancy, gestational age of delivery, delivery mode, and pregnancy outcomes of the participants were collected by consulting medical records of pregnant women who had two consecutive deliveries in the same hospital during 2011 to 2018. The participants were divided into 4 groups according to IPI:<18 months, 18-23 months, 24-59 months and ≥60 months. According to the WHO′s recommendation, with the IPI of 24-59 months group as a reference, to the effects of IPI on pregnancy outcomes of subsequent pregnancy were analyzed. Stratified analysis was further carried out based on age, history of gestational diabetes mellitus (GDM), macrosomia, and premature delivery, to explore the differences in the effects of IPI on pregnancy outcomes among women with different characteristics.Results:A total of 8 026 women were included in this study. There were 423, 623, 5 512 and 1 468 participants in <18 months group, 18-23 months group, 24-59 months group and ≥60 months group, respectively. (1) The age, pre-pregnancy body mass index (BMI), history of cesarean section, GDM, gestational hypertension and cesarean section delivery rate of <18 months group, 18-23 months group, 24-59 months group and ≥60 months group were gradually increased, and the differences were statistically significant ( P<0.05). (2) After adjusting for potential confounding factors, compared with women in the IPI of 24-59 months group, the risk of premature delivery, premature rupture of membranes, and oligohydramnios were increased by 42% ( OR=1.42, 95% CI: 1.07-1.88, P=0.015), 46% ( OR=1.46, 95% CI: 1.13-1.88, P=0.004), and 64% ( OR=1.64, 95% CI: 1.13-2.38, P=0.009) respectively for women in the IPI≥60 months group. No effects of IPI on other pregnancy outcomes were found in this study ( P>0.05). (3) After stratified by age and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of oligohydramnios for women with advanced age ( OR=2.87, 95% CI: 1.41-5.83, P=0.004); and <18 months could increase the risk of premature rupture of membranes for women under the age of 35 ( OR=1.59, 95% CI: 1.04-2.43, P=0.032). Both the risk of premature rupture of membranes ( OR=1.58, 95% CI: 1.18-2.13, P=0.002) and premature delivery ( OR=1.52, 95% CI: 1.07-2.17, P=0.020) were significantly increased in the IPI≥60 months group. After stratified by history of GDM and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would lead to an increased risk of postpartum hemorrhage for women with a history of GDM ( OR=5.34, 95% CI: 1.45-19.70, P=0.012) and an increased risk of premature rupture of membranes for women without a history of GDM ( OR=1.44, 95% CI: 1.10-1.90, P=0.009). After stratified by history of macrosomia and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months could increase the proportion of cesarean section for women with a history of macrosomia ( OR=4.11, 95% CI: 1.18-14.27, P=0.026) and the risk of premature rupture of membranes for women without a history of macrosomia ( OR=1.46, 95% CI: 1.12-1.89, P=0.005). After stratified by history of premature delivery and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of premature rupture of membranes for women without a history of premature delivery ( OR=1.47, 95% CI: 1.13-1.92, P=0.004). Conclusions:Both IPI≥60 months and <18 months would increase the risk of adverse pregnancy outcomes in the subsequent pregnancy. Healthcare education and consultation should be conducted for women of reproductive age to maintain an appropriate IPI when they plan to pregnant again, to reduce the risk of adverse pregnancy outcomes in the subsequent pregnancy.
7. Effect of Shenghuitang on Learning Memory, Levels of IL-6, TNF-α and COX-2 in Hippocampus of Chronic Sleep Deprivation Mice
Chao YIN ; Qiu-yun YOU ; Mei-ya ZHANG ; Li DING
Chinese Journal of Experimental Traditional Medical Formulae 2019;25(1):96-100
Objective: To observe the effect of Shenghuitang on learning and memory and expressions of interleukin-6(IL-6), tumor necrosis factor-α(TNF-α) and cyclooxygenase-2(COX-2) in hippocampus of chronic sleep deprived mice, in order to explore the possible mechanism of Shenghuitang in improving learning and memory ability. Method: Mice were randomly divided into sleep deprivation group, blank group, melatonin group(7.8×10-4 g·kg-1·d-1), high, middle and low-dose Shenghuitang groups(54,27,13.5 g·kg-1·d-1). The model of chronic sleep deprivation in mice was established using the "multi-platform water environment method". 28 d sleep deprivation and intragastric administration were provided. Morris water maze was used to detect the learning and memory ability of mice in each group. Real time-PCR was used to detect mRNA expressions of IL-6, TNF-α and COX-2 in the hippocampus of each group. Result: The results of Morris water maze test showed that compared with the blank group, the total time spent on finding the platform and the total swimming distance of the model group were significantly prolonged (P<0.01), while the number of crossing platforms and the target quadrant were significantly reduced (P<0.01). The time for the original platform was significantly increased (P<0.01). Compared with the model group, the total time spent on finding the platform and the total swimming distance decreased significantly in each drug-administered group (P<0.05,P<0.01) reduced, whereas the number of times for crossing the platform and the target quadrant increased significantly (P<0.05,P<0.01). The time for the first arrival of the original platform was significantly reduced (P<0.05,P<0.01). The results of RT-PCR showed that mRNA expressions of IL-6, TNF-α, and COX-2 were increased in the model group compared with the blank group. Compared with the model group, mRNA expressions of IL-6, TNF-α, and COX-2 were decreased in the treated group. COX-2 mRNA expression was down-regulated. Conclusion: Shenghuitang may improve the learning and memory ability of mice by decreasing mRNA expressions of IL-6, TNF-α and COX-2 in hippocampus.
8. Effect of Shenghuitang on Bmal1 in Hypothalamus and IL-6 and TNF-α in Hippocampus of APP/PS1 Double Transgenic Dementia Model Mice
Mei-ya ZHANG ; Ping WANG ; Qiu-yun YOU ; Li DING
Chinese Journal of Experimental Traditional Medical Formulae 2019;25(20):7-12
Objective:To investigate the effect of Shenghuitang on learning and memory, biological clock gene[brain and muscle arnt-like 1 (Bmal1)] in hypothalamus and interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in hippocampus of APP/PS1 double transgenic dementia model mice, in order to explore the possible mechanism of Shenghuitang to improve learning and memory and sleep disorders. Method:The experimental mice were randomly divided into model group, blank control group, melatonin group, high-dose Shenghuitang group and low-dose Shenghuitang group. Autonomic activity analysis system was used to detect the autonomic activities of mice in each group. Morris water maze was used to detect the learning ability and spatial memory ability of each group. quantitative real-time fluorescence polymerase chain reaction(Real-time PCR) was used to detect the expression of Bmal1 mRNA in the hypothalamic area of mice. Western blot was used to detect the expression of Bmal1 protein in each group. The content of inflammatory factors IL-6 and TNF-α in hippocampus of mice was detected by enzyme-linked immunosorbent assay(ELISA). The correlation between inflammatory factors IL-6, TNF-α and Bmal1 gene was analyzed by pearson analysis. Result:The results of voluntary activities showed that compared with the control group, the number of activities and activity distance of the model group were significantly decreased (P<0.01). Compared with the model group, the number of activities and activity distance of the mice in each drug group increased significantly (P<0.05, P<0.01), there was no significant difference in the low dose group of Shenghuitang. Morris water maze results showed that compared with the control group, the platform latency and swimming total distance were significantly prolonged in the model group (P<0.01), and the number of crossing platforms and target quadrant time was significantly reduced (P<0.01). The original platform time increased significantly (P<0.05). Compared with the model group, the platform latency and total swimming distance were significantly decreased in each group (P<0.05, P<0.01), and the number of crossing platforms and target quadrant time increased significantly(P<0.05, P<0.01), the time to the original platform was significantly reduced (P<0.05, P<0.01). Real-time PCR results showed that the expression of Bmal1 mRNA was up-regulated in the model group compared with the control group. Compared with the model group, the mRNA expression of Bmal1 gene was down-regulated in each group. Western blot results showed that compared with the control group, the expression of Bmal1 protein in the model group was significantly increased (P<0.01). Compared with the model group, Bmal1 protein expression was significantly decreased in each group(P<0.01). The results of ELISA showed that the levels of IL-6 and TNF-α in the model group were significantly higher than those in the control group (P<0.01). Compared with the model group, the levels of IL-6 and TNF-α in the drug group were significantly lower(P<0.01). Pearson analysis showed that IL-6, TNF-α and Bmal1 were correlated and negatively correlated. Conclusion:Shenghuitang may reduce the levels of inflammatory factors IL-6 and TNF-α in hippocampus by up-regulating the expression of Bmal1 gene in hypothalamic region, thus improving Alzheimer' s disease(AD) and circadian rhythm disorders.
9.Stress-related arterial hypertension in Gper-deficient rats.
Ping LUO ; Mei-Mei WU ; Po GAO ; Ting GAO ; Li DONG ; Xiao-Wei DING ; You-Qiang MENG ; Jia-Hong QIAN ; Guo-Hua ZHANG ; Wei-Fang RONG
Acta Physiologica Sinica 2017;69(5):532-540
Numerous studies have demonstrated that estrogens may exert multifaceted effects on the cardiovascular system via activating the classical nuclear receptors ERα or ERβ and the novel G protein coupled estrogen receptor (Gper). However, some studies have reported inconsistent cardiovascular phenotypes in Gper-deficient mice. The current study was aimed to reveal the effects of genetic deletion of Gper on the arterial blood pressure (ABP) and heart rate in rats. Gper-deficient Sprague-Dawley rats were generated by utilizing the CRISPR-Cas9 gene-editing technique. ABP of 10-week old male (n = 6) and 12-week old female (n = 6) Gper-deficient rats and age-matched wild type (WT) rats (6 females and 6 males) were measured under awake and restrained conditions through the non-invasive tail-cuff method daily for 8 (females) or 9 days (males). In the male WT rats, ABP and heart rate were slightly higher in day 1 to 4 than those in day 5 to 9, indicative of stress-related sympathoexcitation in the first few days and gradual adaptation to the restrained stress in later days. Gper-deficient rats had significantly higher ABP initially (male: day 1 to day 5; female: day 1 to day 3) and similar ABP in later days of measurement compared with the WT rats. The heart rate of male Gper-deficient rats was consistently higher than that of the male WT rats from day 1 to day 8. Both male and female Gper-deficient rats appeared to show slower body weight gain than the WT counterparts during the study period. Under anesthesia, ABP of Gper-deficient rats was not significantly different from their WT counterparts. These results indicate that Gper-deficient rats may be more sensitive to stress-induced sympathoexcitation and highlight the importance of Gper in the regulation of the cardiovascular function in stressful conditions.
10.The effects of creatine phosphate sodium on heart function and NT-proBNP in older patients combination with ischemic cardiomyopathy and intractable heart failure
Lingyan DING ; Zhifang MA ; Mei YOU ; Pingping HE ; Xianliang LIU
Chinese Journal of Primary Medicine and Pharmacy 2015;(5):720-722
Objective To observe the effects of creatine phosphate sodium on heart function and B -type natriuretic peptide in patients combination with ischemic cardiomyopathy and intractable heart failure .Methods 70 cases of coronary heart disease combined with ischemic cardiomyopathy and intractable heart failure were randomly ( with the random number table ) divided into the control group ( n=33) and the creatine phosphate sodium treatment group (n=37).The control group treated with conventional therapy (digitalis,diuretics,vasodilator,ACEI,et al) ten days;the treatment group with creatine phosphate sodium treatment on the basis of conventional therapy .The symp-tom,sign of the heart failure patients of the two groups before and after treatment were observed .NYHA cardiac func-tional grading were estimated.Echocardiography was used to detect left ventricular end -systolic diameter(LVESD), left ventricular end diastolic diameter ( LVEDD ) and left ventricular ejection fraction ( LVEF ); amino terminal pro brain natriuretic peptide (NT-proBNP) tested by laboratory of the two groups.Drug treatment for 10 days,the chan-ges of the indicators before and after treatment were observed .Results After treatment , compared with the control group[(50.63 ±4.67) mm,(61.30 ±4.58) mm].LVESD,LVEDD of the creatine phosphate sodium treatment [(47.16 ±4.30)mm,(57.92 ±4.30)mm]significantly decreased(t=5.73,4.96,all P<0.01),LVEF[(40.57 ± 4.51)%,(37.63 ±4.53)%]increased significantly(t =5.53,P<0.01).After ten days of treatment levels of NT-proBNP decreased in both two groups [(1 659.±248.18) pg/mL,1 899.3 ±205.45] than before treatment [2 043.46 ±217.04,(2 105.46 ±239.09)pg/mL](t=3.23,3.64,all P<0.05),and the decrease degree of the creatine phosphate sodium treatment group was more obvious than those of the control group (t=4.11,P<0.05). Conclusion Creatine phosphate sodium can improve the cardiac function and left ventricular ejection fraction of ischemic cardiomyopathy and intractable heart failurepatients ,enhance the clinical symptoms of patients .

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