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.Study on the influence of field angle on the results of EPID dose verification in vivo
Jia FANG ; Wanli ZHU ; Chunyan DAI ; Yi ZHANG ; Yingjie MEI ; Jiaqian DAI ; Hongzhi ZHANG ; Fei ZHAO ; Shubo DING
Chongqing Medicine 2025;54(4):898-902
Objective To investigate the effect of field angle on the results of in vivo dose validation of electronic portal imaging device(EPID)in patients.Methods Design the mold test and analyze the influence of different mold thicknesses and different frame angles on the 2D γ pass rate.Twenty-three patients who un-derwent radiotherapy in the Department of Radiotherapy of Jinhua Municipal Central Hospital from January to June 2023 were selected as the research object.In vivo dose verification was carried out during treatment to obtain 2D γ pass rate using same-day sector beam CT(FBCT)of planned CT and executive image guided(IG-RT)as reference images,and the influence of field angle on pass rate was analyzed.Results When the frame angle was unchanged,the area of the shooting field was larger than 17 cm×17 cm,and the 2D γ passing rate decreased with the increase of the thickness.The frame angle had no effect on the 2D γ pass rate when the mold thickness was constant.In clinical treatment data,the passage rate of 2D γ near 0°/180° was higher than that near 90°/270°(P<0.05),and the passage rate near 90°/270° in the FBCT group was higher than that in the IGRT group(P<0.05).The median passing rate of 3 mm 2D γ was 97.97%in 3%of the 23 patients.The non-IGRT group was 96.81%,the IGRT group was 97.89%,the FBCT group was 98.94%.There was a statistically significant difference in 2D γ passing rate between the non-IGRT group and the IGRT group(Z=-5.083,P<0.05),and there was a statistically significant difference in 2D γ passing rate between the IGRT group and the FBCT group(Z=-10.657,P<0.05).Conclusion Clinically,the difference of pass rate in vi-vo dose verification at different rack angles is mainly due to the difference of images within and between ses-sions.Using same-day FBCT as the reference image for in-vivo dose verification can improve the accuracy of pass rate and eliminate the influence of image difference between sessions.
3.Chemical constituents from Commelina communis
Hong-ting YI ; Ding-mei LIANG ; Bin LEI ; Hong-ling ZENG ; Zhong-wen CHEN ; Hua LIU ; Feng LIU
Chinese Traditional Patent Medicine 2025;47(3):827-833
AIM To study the chemical constituents from Commelina communis L.METHODS The 95%ethanol extract from C.Communis was isolated and purified by activated charcoal,silica gel,Sephadex LH-20,and HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Seventeen compounds were isolated and identified as p-hydroxyl ethyl cinnamate(1),p-hydroxybenzaldehyde(2),vanillin(3),4-hydroxy-2,3-dimethyl-2-nonen-4-olide(4),hemeratrol A(5),chakyunglupulin B(6),chakyunglupulin A(7),2-(2-hydroxyethyl)-3-methylfumaric acid(8),N-cis-feruloyl tyramine(9),N-trans-coumaroyltyramine(10),5,6,7,3',4',5'-hexamethoxyflavone(11),N-trans-sinapoyltyramine(12),dihydro-feruloyltyramine(13),N-trans-feruloyltyramine(14),2-phenylethanol-β-D-glucoside(15),quercetin-3-O-β-D-glucoside(16),and isorhamnetin-3-O-β-D-glucopyranoside(17).CONCLUSION Compounds 4-8,10 and 11 are isolated from Commelina genus for the first time,and 1,9,12-15 are first isolated from this plant.
4.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.
5.Chemical constituents from Commelina communis
Hong-ting YI ; Ding-mei LIANG ; Bin LEI ; Hong-ling ZENG ; Zhong-wen CHEN ; Hua LIU ; Feng LIU
Chinese Traditional Patent Medicine 2025;47(3):827-833
AIM To study the chemical constituents from Commelina communis L.METHODS The 95%ethanol extract from C.Communis was isolated and purified by activated charcoal,silica gel,Sephadex LH-20,and HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Seventeen compounds were isolated and identified as p-hydroxyl ethyl cinnamate(1),p-hydroxybenzaldehyde(2),vanillin(3),4-hydroxy-2,3-dimethyl-2-nonen-4-olide(4),hemeratrol A(5),chakyunglupulin B(6),chakyunglupulin A(7),2-(2-hydroxyethyl)-3-methylfumaric acid(8),N-cis-feruloyl tyramine(9),N-trans-coumaroyltyramine(10),5,6,7,3',4',5'-hexamethoxyflavone(11),N-trans-sinapoyltyramine(12),dihydro-feruloyltyramine(13),N-trans-feruloyltyramine(14),2-phenylethanol-β-D-glucoside(15),quercetin-3-O-β-D-glucoside(16),and isorhamnetin-3-O-β-D-glucopyranoside(17).CONCLUSION Compounds 4-8,10 and 11 are isolated from Commelina genus for the first time,and 1,9,12-15 are first isolated from this plant.
6.Establishment and Evaluation Strategy of an in Vitro Cell Model of Bone Marrow Microenvironment Injury in Mouse Acute Graft-Versus-Host Disease
Jia-Yi TIAN ; Pei-Lin LI ; Jie TANG ; Run-Xiang XU ; Bo-Feng YIN ; Fei-Yan WANG ; Xiao-Tong LI ; Hong-Mei NING ; Heng ZHU ; Li DING
Journal of Experimental Hematology 2024;32(2):617-624
Objective:To establish a mesenchymal stem cell(MSC)-based in vitro cell model for the evaluation of mouse bone marrow acute graft-versus-host disease(aGVHD).Methods:Female C57BL/6N mice aged 6-8 weeks were used as bone marrow and lymphocyte donors,and female BALB/c mice aged 6-8 weeks were used as aGVHD recipients.The recipient mouse received a lethal dose(8.0 Gy,72.76 cGy/min)of total body γ irradiation,and injected with donor mouse derived bone marrow cells(1× 107/mouse)in 6-8 hours post irradiation to establish a bone marrow transplantation(BMT)mouse model(n=20).In addition,the recipient mice received a lethal dose(8.0 Gy,72.76 cGy/min)of total body γ irradiation,and injected with donor mouse derived bone marrow cells(1 × 107/mouse)and spleen lymphocytes(2 × 106/mouse)in 6-8 hours post irradiation to establish a mouse aGVHD model(n=20).On the day 7 after modeling,the recipient mice were anesthetized and the blood was harvested post eyeball enucleation.The serum was collected by centrifugation.Mouse MSCs were isolated and cultured with the addition of 2%,5%,and 10%recipient serum from BMT group or aGVHD group respectively.The colony-forming unit-fibroblast(CFU-F)experiment was performed to evaluate the potential effects of serums on the self-renewal ability of MSC.The expression of CD29 and CD105 of MSC was evaluated by immunofluorescence staining.In addition,the expression of self-renewal-related genes including Oct-4,Sox-2,and Nanog in MSC was detected by real-time fluorescence quantitative PCR(RT-qPCR).Results:We successfully established an in vitro cell model that could mimic the bone marrow microenvironment damage of the mouse with aGVHD.CFU-F assay showed that,on day 7 after the culture,compared with the BMT group,MSC colony formation ability of aGVHD serum concentrations groups of 2%and 5%was significantly reduced(P<0.05);after the culture,at day 14,compared with the BMT group,MSC colony formation ability in different aGVHD serum concentration was significantly reduced(P<0.05).The immunofluorescence staining showed that,compared with the BMT group,the proportion of MSC surface molecules CD29+and CD 105+cells was significantly dereased in the aGVHD serum concentration group(P<0.05),the most significant difference was at a serum concentration of 10%(P<0.001,P<0.01).The results of RT-qPCR detection showed that the expression of the MSC self-renewal-related genes Oct-4,Sox-2,and Nanog was decreased,the most significant difference was observed at an aGVHD serum concentration of 10%(P<0.01,P<0.001,P<0.001).Conclusion:By co-culturing different concentrations of mouse aGVHD serum and mouse MSC,we found that the addition of mouse aGVHD serum at different concentrations impaired the MSC self-renewal ability,which providing a new tool for the field of aGVHD bone marrow microenvironment damage.
7.Risk factors for bronchopulmonary dysplasia in twin preterm infants:a multicenter study
Yu-Wei FAN ; Yi-Jia ZHANG ; He-Mei WEN ; Hong YAN ; Wei SHEN ; Yue-Qin DING ; Yun-Feng LONG ; Zhi-Gang ZHANG ; Gui-Fang LI ; Hong JIANG ; Hong-Ping RAO ; Jian-Wu QIU ; Xian WEI ; Ya-Yu ZHANG ; Ji-Bin ZENG ; Chang-Liang ZHAO ; Wei-Peng XU ; Fan WANG ; Li YUAN ; Xiu-Fang YANG ; Wei LI ; Ni-Yang LIN ; Qian CHEN ; Chang-Shun XIA ; Xin-Qi ZHONG ; Qi-Liang CUI
Chinese Journal of Contemporary Pediatrics 2024;26(6):611-618
Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.
8.Effects of Xinyue Capsules on the expression of glycerophospholipid metabolizing enzymes in a rat model of cardiac hypertrophy
Hao ZHANG ; Xiao-Yun DING ; Hu WANG ; Ting-Ting LI ; Yu-Mei QIU ; Meng-Die XIE ; Wei DONG ; Yi-Xin SHEN ; Xi-Lan TANG
Chinese Traditional Patent Medicine 2024;46(11):3594-3602
AIM To investigate the effects of Xinyue Capsules on the expression of glycerophospholipid metabolizing enzymes in isoproterenol(ISO)-induced rat heart tissue and primary myocardial cells of neonatal rats.METHODS The SD rats were randomly divided into the normal group,the model group,the Xinyue Capsules intervention group and Xinyue Capsules control group,with 8 rats in each group.The rat model of cardiac hypertrophy was established by 14 days consecutive intraperitoneal injection of ISO(30 mg/kg).Prior to the modeling,once daily administration of 0.393 g/kg Xinyue Capsules was given by gavage from 3 days in advance to the end of the experiment.After the last administration,the procurement of blood from abdominal aorta,the left and right ventricles were processed.And the rats had their indices levels of the heart,the left ventricle and the right ventricle measured;their pathomorphological changes of myocardial tissue observed using HE staining;their expressions of cardiac hypertrophy-related myocardial embryonic genes ANP,β-MHC and α-SKA mRNA detected using RT-qPCR method;and their serum TC,TG,LDL-C and HDL-C levels detected by biochemical method.In in vitro experiment,the neonatal rat model of myocardial hypertrophy was induced by exposure to ISO 1 μmol/L for 24 h.The investigation of the effect of Xinyue Capsules 12.5 μg/mL on ISO-induced myocardial hypertrophy was conducted by detection of myocardial cell area,embryo genes related to cardiac hypertrophy and myocardial cells protein cuntent.The further anti-cardiac hypertrophy mechanism of Xinyue Capsules research was conducted using RT-qPCR and Western blot to detect the gene and protein expressions of phospholipase A2(PLA2G6),phospholipase A1 member A(PLA1A)and lecithin cholesterol acyltransferase(LCAT)in left ventricle tissue and myocardial cells of each group.RESULTS The in vivo experimental result showed that compared with the normal group,the model group displayed increased indices levels of the heart,the left ventricle and the right ventricle and cross-sectional area of left ventricular myocytes(P<0.05);and up-regulated expressions of ANP,β-MHC,α-SKA mRNA and PLA2G6,PLA1A and LCAT mRNA and proteins in the left ventricle(P<0.05);and increased levels of serum TC,TG and LDL-C(P<0.05);and decreased HDL-C level(P<0.05).However,the intervention of Xinyue Capsules inhibited the changes of the aforementioned indices(P<0.05).The in vitro experimental result revealed that Xinyue Capsules inhibited the ISO-induced increases of myocardial cell surface area and myocardial cell protein level,the up-regulation of ANP,β-MHC,α-SKA mRNA expressions and the PLA2G6,PLA1A,LCAT mRNA and protein expressions as well(P<0.05).CONCLUSION Xinyue Capsules can improve the ISO-induced cardiac hypertrophy in rats,and its mechanism may be associated with its regulation upon the expressions of glycerophospholipid metabolism-related enzymes PLA2G6,PLA1A and LCAT.
9.Roles of intestinal mucosa,intestinal immunity and microbiota in entero-genic Candida albicans infection
Hui-Ting CHEN ; Jia-Sheng LI ; Zhi-Chang XU ; Ding-Mei QIN ; Yi ZHANG ; Rui-Rui WANG
Chinese Journal of Infection Control 2024;23(5):631-637
Enterogenic Candida albicans(C.albicans)infection refers to the translocation of intestinal colonized C.albicans under certain conditions,breaking through the intestinal tract,causing tissue infection or even invasive C.albicans infection.As the first contact point of Candida,the intestinal mucosa is the first line defending coloni-zation or invasion of C.albicans,often inhibiting infection by physical barrier and activating host immunity.As an-other defense mechanism,the intestinal microbiota jointly resists the invasive infection of C.albican through regula-ting pH,secreting antimicrobial peptides,and competing for adhesion points.This review summarizes the roles of three key factors,namely intestinal mucosa,intestinal immunity and microbiota,in enterogenic C.albicans infec-tion,providing new ideas for scientific research on invasive candidiasis caused by intestinal colonization.
10.Development and prospects of predicting drug polymorphs technology
Mei GUO ; Wen-xing DING ; Bo PENG ; Jin-feng LIU ; Yi-fei SU ; Bin ZHU ; Guo-bin REN
Acta Pharmaceutica Sinica 2024;59(1):76-83
Most chemical medicines have polymorphs. The difference of medicine polymorphs in physicochemical properties directly affects the stability, efficacy, and safety of solid medicine products. Polymorphs is incomparably important to pharmaceutical chemistry, manufacturing, and control. Meantime polymorphs is a key factor for the quality of high-end drug and formulations. Polymorph prediction technology can effectively guide screening of trial experiments, and reduce the risk of missing stable crystal form in the traditional experiment. Polymorph prediction technology was firstly based on theoretical calculations such as quantum mechanics and computational chemistry, and then was developed by the key technology of machine learning using the artificial intelligence. Nowadays, the popular trend is to combine the advantages of theoretical calculation and machine learning to jointly predict crystal structure. Recently, predicting medicine polymorphs has still been a challenging problem. It is expected to learn from and integrate existing technologies to predict medicine polymorphs more accurately and efficiently.

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