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.Exploring mechanism of action of hypericin in antidepressant effects based on single-cell sequencing
Hui-xin NI ; Hai-xin LIU ; Bing-can ZHOU ; Ming-heng CHEN ; Ping-yan LIN ; Zheng-tao GAO ; Xin-pei LIN ; Yao LIN ; Fang-zhen WU ; Qian XU
Chinese Pharmacological Bulletin 2025;41(5):837-843
Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.
3.Analysis of surveillance data of death causes among residents in Chuzhou City of Anhui Province from 2019 to 2022
Ping XIE ; Xiaojie LIN ; Senke CHEN ; Ming HAN ; Bugang GAO
Journal of Shenyang Medical College 2025;27(1):26-31
Objective:To analyze the distribution of causes of death among residents in Chuzhou City of Anhui Province from 2019 to 2022,in order to provide evidence for formulating disease prevention and control strategies.Methods:The death data of residents in Chuzhou City from 2019 to 2022 were obtained from the cause of death surveillance system of Chuzhou Center for Disease Control and Prevention in Anhui Province.The crude death rate,composition ratio of cause of death and the rank of cause of death were analyzed.The annual percent change(APC)of mortality was calculated by using the Joinpoint regression model to describe the average annual change of mortality.Results:From 2019 to 2022,the average annual crude mortality of permanent residents in Chuzhou City was 668.80/100 000,and the crude mortality rate(/100 000)was 640.58,652.10,659.32,and 723.46,respectively(APC=3.10%,P=0.356).The annual crude mortality of males(735.93/100 000)was higher than that of females(598.52/100 000)(χ2=1 148.724,P<0.01).The top three causes of death were malignant tumor,cerebrovascular disease,and cardiovascular disease.The mortality of malignant tumors showed a decreasing trend(APC=-1.51%,P<0.01),and the top three causes of death of malignant tumors were lung cancer,gastric cancer and liver cancer.Among the age groups,congenital malformations and deformations,chromosomal abnormalities,and certain conditions originating in the perinatal period were the leading causes of death among residents aged 0 to 4 years old.Accidental injuries were the first cause of death among residents aged 5 to 14 years old.The leading cause of death among residents in the 15-44 and 45-64 age groups was malignant tumor.Cerebrovascular disease was the leading cause of death in≥65 years old.The mortality of accidental injuries showed an increasing trend(APC=1.64%,P<0.01),and the specific types of death causes of accidental injuries were different among different age groups.Conclusion:Chronic non-communicable diseases,especially cancer and cardiovascular and cerebrovascular diseases,are the main health threats to the residents of Chuzhou City of Anhui Province,and feasible prevention and control measures should be formulated.
4.Analysis of factors influencing frequent episodes in children with moderate-to-severe atopic dermatitis: a national multicenter cross-sectional study
Jing TIAN ; Yifeng GUO ; Xiaoyan LUO ; Yuan LIANG ; Ping LI ; Jinping CHEN ; Yao LU ; Jianping TANG ; Yunsheng LIANG ; Ying GAO ; Qiufang QIAN ; Hong SHU ; Hongxiang CHEN ; Pingshen FAN ; Xiuping HAN ; Hua QIAN ; Qinfeng LI ; Ming LI ; Shengchun WANG ; Ying LIU ; Hua WANG ; Lin MA
Chinese Journal of Dermatology 2025;58(10):943-951
Objective:To investigate factors influencing frequent episodes (≥ 4 episodes within 1 year) in children with moderate-to-severe atopic dermatitis (AD) in China.Methods:A national multicenter cross-sectional study was conducted. Patients under the age of 18 years diagnosed with moderate-to-severe AD were enrolled at dermatology clinics in 18 medical institutions across 12 provinces and municipalities in China between June 12 and August 8, 2023. At the time of the visit, their guardians completed a structured questionnaire covering demographic characteristics, clinical features of AD, personal and family history, factors associated with frequent episodes of moderate-to-severe AD, compliance with treatment, and disease awareness. Statistical analyses included t tests, one-way analysis of variance, rank-sum tests, and chi-square tests, with multiple-response analysis applied for multiple-choice questions. Results:A total of 965 valid questionnaires were collected, and 965 children with moderate-to-severe AD were included. Among them, there were 531 males and 434 females, 678 (70.3%) were aged 2 - < 12 years, 837 (86.7%) were from urban areas, the age at onset was 2.47 ± 3.03 years, and the median frequency of AD episodes in the past year was 4 times. These children were divided into 2 groups based on the median episode frequency: < 4-episode group (439 cases, 45.5%) and ≥ 4-episode group (526 cases, 54.5%). Compared with the < 4-episode group, children in the ≥ 4-episode group showed younger ages at onset (2.22 ± 2.98 years vs. 2.76 ± 3.06 years, P = 0.006) and higher proportions of patients with comorbid allergic diseases in both the children themselves (82.9% [436/526] vs. 69.7% [306/439], χ2 = 23.42, P < 0.001) and their relatives (66.0% [347/526] vs. 57.4% [252/439], χ2 = 7.46, P = 0.006). Children in the ≥ 4- episode group also had higher monthly usage of moisturizers (150 [30, 300] g vs. 60 [6, 200] g) and daily frequency of moisturizer use, greater disease awareness, but more severe fear of medication use (all P < 0.05). The region and the human development index level were both significantly associated with the episode frequency (both P < 0.001), with the highest proportion of children from South China in the ≥ 4- episode group (36.3%, 191/526). Children in the ≥ 4-episode group also had a longer duration of topical glucocorticoid use than those in the < 4-episode group ( Z = -2.21, P = 0.027). External triggers associated with AD episodes mainly included heat exposure (50.36%, 486/965), hot water bathing (40.73%, 393/965), seafood (23.52%, 227/965), and dust mites (33.37%, 322/965) . Conclusion:In children with moderate-to-severe AD in China, factors influencing frequent episodes may include residence in southern or economically developed regions, earlier age at onset, having a personal or family history of allergic diseases, and fear of medication use.
5.Constructing A Risk Warning Model for Severe Mycoplasma Pneumoniae Pneumonia Children Based on Clinical Multi Parameters
Wan-ting MO ; Ping-ming GAO ; Rui-ping WAN ; Hui-wen XIAN ; Dan-xia LIN
Progress in Modern Biomedicine 2025;25(3):511-518
Objective:To construct a risk warning model for severe mycoplasma pneumoniae pneumonia(SMPP)children based on clinical data,laboratory indicators and imaging indicators.Methods:162 Mycoplasma pneumoniae pneumonia(MPP)children who were admitted in Foshan Women and Children Hospital from January 2021 to December 2023 were selected,64 SMPP children were included in severe group,the remaining 98 children were included in mild group.The general data,laboratory indicators and imaging indicators of the children were collected.The influencing factors for the occurrence of SMPP were analyzed by univariate and multivariate logistic regression models,and a risk warning model for the occurrence of SMPP children was constructed based on multivariate logistic regression model.The predictive value of the risk warning model for the occurrence of SMPP were analyzed by receiver operating characteristic(ROC)curve.Results:The proportion of 3 years old ≤ age<6 years old,course of disease,body temperature,fever course,C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),lactate dehydrogenase(LDH),cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations in severe group were significantly higher than those in mild group(P<0.05),there were no significant differences in gender,white blood cell count(WBC),neutrophil ratio and procalcitonin(PCT)between the two groups(P>0.05).Multivariate logistic regression analysis model showed that,3 years old ≤age<6 years old,high body temperature,long fever course,CRP elevated,ESR elevated,LDH elevated,cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations were risk factors for the occurrence of SMPP(P<0.05).ROC curve analysis showed that,the area under the curve(AUC)of the risk warning model was 0.829,the sensitivity was 84.82%,and the specificity was 78.15%,the actual prediction curve of the risk warning model was in good agreement with the prediction curve,the decision curve showed that,the threshold probability range of the model was 4.61%~88.14%.Conclusion:The risk warning model based on clinical multi parameters such as general data,laboratory indicators and imaging indicators has certain predictive value for the occurrence of SMPP.
6.Exploring mechanism of action of hypericin in antidepressant effects based on single-cell sequencing
Hui-xin NI ; Hai-xin LIU ; Bing-can ZHOU ; Ming-heng CHEN ; Ping-yan LIN ; Zheng-tao GAO ; Xin-pei LIN ; Yao LIN ; Fang-zhen WU ; Qian XU
Chinese Pharmacological Bulletin 2025;41(5):837-843
Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.
7.Analysis of surveillance data of death causes among residents in Chuzhou City of Anhui Province from 2019 to 2022
Ping XIE ; Xiaojie LIN ; Senke CHEN ; Ming HAN ; Bugang GAO
Journal of Shenyang Medical College 2025;27(1):26-31
Objective:To analyze the distribution of causes of death among residents in Chuzhou City of Anhui Province from 2019 to 2022,in order to provide evidence for formulating disease prevention and control strategies.Methods:The death data of residents in Chuzhou City from 2019 to 2022 were obtained from the cause of death surveillance system of Chuzhou Center for Disease Control and Prevention in Anhui Province.The crude death rate,composition ratio of cause of death and the rank of cause of death were analyzed.The annual percent change(APC)of mortality was calculated by using the Joinpoint regression model to describe the average annual change of mortality.Results:From 2019 to 2022,the average annual crude mortality of permanent residents in Chuzhou City was 668.80/100 000,and the crude mortality rate(/100 000)was 640.58,652.10,659.32,and 723.46,respectively(APC=3.10%,P=0.356).The annual crude mortality of males(735.93/100 000)was higher than that of females(598.52/100 000)(χ2=1 148.724,P<0.01).The top three causes of death were malignant tumor,cerebrovascular disease,and cardiovascular disease.The mortality of malignant tumors showed a decreasing trend(APC=-1.51%,P<0.01),and the top three causes of death of malignant tumors were lung cancer,gastric cancer and liver cancer.Among the age groups,congenital malformations and deformations,chromosomal abnormalities,and certain conditions originating in the perinatal period were the leading causes of death among residents aged 0 to 4 years old.Accidental injuries were the first cause of death among residents aged 5 to 14 years old.The leading cause of death among residents in the 15-44 and 45-64 age groups was malignant tumor.Cerebrovascular disease was the leading cause of death in≥65 years old.The mortality of accidental injuries showed an increasing trend(APC=1.64%,P<0.01),and the specific types of death causes of accidental injuries were different among different age groups.Conclusion:Chronic non-communicable diseases,especially cancer and cardiovascular and cerebrovascular diseases,are the main health threats to the residents of Chuzhou City of Anhui Province,and feasible prevention and control measures should be formulated.
8.Constructing A Risk Warning Model for Severe Mycoplasma Pneumoniae Pneumonia Children Based on Clinical Multi Parameters
Wan-ting MO ; Ping-ming GAO ; Rui-ping WAN ; Hui-wen XIAN ; Dan-xia LIN
Progress in Modern Biomedicine 2025;25(3):511-518
Objective:To construct a risk warning model for severe mycoplasma pneumoniae pneumonia(SMPP)children based on clinical data,laboratory indicators and imaging indicators.Methods:162 Mycoplasma pneumoniae pneumonia(MPP)children who were admitted in Foshan Women and Children Hospital from January 2021 to December 2023 were selected,64 SMPP children were included in severe group,the remaining 98 children were included in mild group.The general data,laboratory indicators and imaging indicators of the children were collected.The influencing factors for the occurrence of SMPP were analyzed by univariate and multivariate logistic regression models,and a risk warning model for the occurrence of SMPP children was constructed based on multivariate logistic regression model.The predictive value of the risk warning model for the occurrence of SMPP were analyzed by receiver operating characteristic(ROC)curve.Results:The proportion of 3 years old ≤ age<6 years old,course of disease,body temperature,fever course,C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),lactate dehydrogenase(LDH),cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations in severe group were significantly higher than those in mild group(P<0.05),there were no significant differences in gender,white blood cell count(WBC),neutrophil ratio and procalcitonin(PCT)between the two groups(P>0.05).Multivariate logistic regression analysis model showed that,3 years old ≤age<6 years old,high body temperature,long fever course,CRP elevated,ESR elevated,LDH elevated,cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations were risk factors for the occurrence of SMPP(P<0.05).ROC curve analysis showed that,the area under the curve(AUC)of the risk warning model was 0.829,the sensitivity was 84.82%,and the specificity was 78.15%,the actual prediction curve of the risk warning model was in good agreement with the prediction curve,the decision curve showed that,the threshold probability range of the model was 4.61%~88.14%.Conclusion:The risk warning model based on clinical multi parameters such as general data,laboratory indicators and imaging indicators has certain predictive value for the occurrence of SMPP.
9.Research progress on the effect of miRNA-mediated PPARγ-related signaling pathways on lipid metabolism in steroid-induced osteonecrosis of femoral head.
Hai-Yuan GAO ; Xiao-Ping WANG ; Ming-Wang ZHOU ; Xing YANG ; Bang-Jing HE
Acta Physiologica Sinica 2025;77(3):493-503
Steroid-induced osteonecrosis of femoral head (SONFH) is a disease characterized by femoral head collapse and local pain caused by excessive use of glucocorticoids. Peroxisome proliferator-activated receptor-γ (PPARγ) is mainly expressed in adipose tissue. Wnt/β-catenin, AMPK and other related signaling pathways play an important role in regulating adipocyte differentiation, fatty acid uptake and storage. Bone marrow mesenchymal cells (BMSCs) have the ability to differentiate into adipocytes or osteoblasts, and the use of hormones upregulates PPARγ expression, resulting in BMSCs biased towards adipogenic differentiation. The increase of adipocytes affects the blood supply and metabolism of the femoral head, and the decrease of osteoblasts leads to the loss of trabecular bone, which eventually leads to partial or total ischemic necrosis and collapse of the femoral head. MicroRNAs (miRNAs) are a class of short non-coding RNAs that regulate gene expression by inhibiting the transcription or translation of target genes, thereby affecting cell function and disease progression. Studies have shown that miRNAs affect the progression of SONFH by regulating PPARγ lipid metabolism-related signaling pathways. Therefore, it may be an accurate and feasible SONFH treatment strategy to regulate adipogenic-osteoblast differentiation in BMSCs by targeted intervention of miRNA differential expression to improve lipid metabolism. In this paper, the miRNA-mediated PPARγ-related signaling pathways were classified and summarized to clarify their effects on lipid metabolism in SONFH, providing a theoretical reference for miRNA targeted therapy of SONFH, and then providing scientific evidence for SONFH precision medicine.
MicroRNAs/physiology*
;
PPAR gamma/metabolism*
;
Femur Head Necrosis/metabolism*
;
Humans
;
Signal Transduction/physiology*
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Lipid Metabolism/physiology*
;
Animals
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Cell Differentiation
;
Mesenchymal Stem Cells/cytology*
;
Glucocorticoids/adverse effects*
10.Expert consensus on evaluation index system construction for new traditional Chinese medicine(TCM) from TCM clinical practice in medical institutions.
Li LIU ; Lei ZHANG ; Wei-An YUAN ; Zhong-Qi YANG ; Jun-Hua ZHANG ; Bao-He WANG ; Si-Yuan HU ; Zu-Guang YE ; Ling HAN ; Yue-Hua ZHOU ; Zi-Feng YANG ; Rui GAO ; Ming YANG ; Ting WANG ; Jie-Lai XIA ; Shi-Shan YU ; Xiao-Hui FAN ; Hua HUA ; Jia HE ; Yin LU ; Zhong WANG ; Jin-Hui DOU ; Geng LI ; Yu DONG ; Hao YU ; Li-Ping QU ; Jian-Yuan TANG
China Journal of Chinese Materia Medica 2025;50(12):3474-3482
Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards*
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Humans
;
Consensus
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Drugs, Chinese Herbal/therapeutic use*
;
Surveys and Questionnaires

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