1.Effect of Various Factors on Non-suicidal Self-injury in Adolescent Depression
Yi MIAO ; Junyi LI ; Peishan HUANG ; Ke WANG ; Xuelin ZHANG ; Qiangli DONG
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(1):123-131
ObjectiveTo investigate the non-suicidal self-injury (NSSI) behaviors in adolescents with depressive disorder, analyze related influencing factors, and provide theoretical basis and reference for the prevention and treatment of NSSI. MethodsAccording to DSM-5 criteria, 95 depressive adolescents were divided into two groups: one with NSSI (NSSI group) and one without NSSI (nNSSI group). All patients were assessed with Adolescent Non-suicidal Self-injury Assessment Questionnaire (ANSAQ), Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), Simplified Coping Style Questionnaire (SCSQ), Experiences in Close Relationships-Relationship Structures Scale (ECR-RS), and Childhood Trauma Questionnaire-Short Form (CTQ-SF). The inter-group differences were compared. The influencing factors of NSSI were analyzed by using binary logistic regression. ResultsOf the 95 depressive adolescents, 59 cases of NSSI were identified, with a detection rate of 62.11%. NSSI group had higher scores than nNSSI group on SDS, SAS, negative coping style, paternal attachment anxiety, maternal attachment anxiety and avoidance, CTQ-SF total score, emotional neglect, physical neglect, emotional abuse, and sexual abuse (all P<0.05). Binary logistic regression analysis showed that anxiety, negative coping style, maternal attachment avoidance and emotional abuse increased the risk of NSSI among adolescents with depressive disorders (all P< 0.05). ConclusionsAdolescents with depression have a high incidence of NSSI behaviors, which is related to anxiety, negative coping style, maternal attachment avoidance and emotional abuse. In addition to improving patients' depression and anxiety in clinical setting, attention should also be paid to patients' coping styles, parent-child relationship and childhood trauma to reduce the occurrence of NSSI behaviors.
2.Exploration on the paths of medical ethics education for medical students from the perspective of youth moral cultivation
Yuancong OUYANG ; Fang DONG ; Jun LI ; Miao GAO ; Haiyan LIU ; Qiuyu YANG
Chinese Medical Ethics 2025;38(11):1492-1497
The view of youth moral cultivation clearly defines the scope of “morality” and puts forward the requirement of “cultivating morality” for the youth. This is a systematic concept aligned with the main theme of the times and is worth deeply exploring and integrating into the practice of medical ethics education for medical students. With the requirements for innovation and development in medical education, the cultivation of medical students has also been endowed with new connotations. Guided by the connotations of the view of youth moral cultivation and aligned with the objective requirements of medical students’ cultivation, this paper leveraged the core values of traditional Chinese medicine as its entry point. It also explored the realization paths of medical ethics education for medical students that reflect advantages, highlight characteristics, and maintain clear orientation through strengthening the medical ethics education of “dedicated study of medicine,” “honesty and prudence in words and deeds,” “benevolence in heart and skills,” and “doctor-patient trust and harmony,” aiming to cultivate guardians of people’s health with noble medical ethics and superb medical skills.
3.Research progress on variety breeding of root- and rhizome-derived traditional Chinese medicine.
Yan CHEN ; Miao-Yin DONG ; Zhan-Feng CAO ; Xue-Zhou LIU ; Meng-Fei LI ; Jian-He WEI
China Journal of Chinese Materia Medica 2025;50(2):363-383
Germplasm degeneration occurs during the long-term cultivation of root-and rhizome-derived traditional Chinese medicine(RR-TCM), which seriously restricts the high-quality development of their industry. Therefore, it is urgent to solve the problem of germplasm degeneration through variety breeding. In this paper, based on previously published research articles, monographs, and news reports, the research progresses on the number and origins, breeding methods, and selection of new varieties of RR-TCM listed in the Chinese Pharmacopoeia(Edition 2020) were summarized and analyzed. The results show that there are 169 kinds of RR-TCM listed in the Chinese Pharmacopoeia(Edition 2020), originated from 223 origins with three breeding methods(i.e., seed propagation, vegetative reproduction, and tissue culture), and there are 215 species derived from seed propagation, 177 species derived from vegetative reproduction, and 164 species derived from tissue culture. To date, there are 62 origins breeding new varieties through conventional breeding, cross breeding, mutation breeding, ploidy breeding, or modern biotechnology breeding methods, including 57 origins breeding 145 new varieties through conventional breeding, 10 origins breeding 43 new varieties through mutation breeding, and seven origins breeding 12 new varieties through cross breeding method. They are used mainly to improve yield, disease resistance, and active ingredient content, but only a few new varieties have been widely used. This review will provide useful references in variety breeding, quality breeding, and standardized planting of RR-TCM.
Plant Breeding/methods*
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Plant Roots/growth & development*
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Rhizome/growth & development*
;
Drugs, Chinese Herbal
;
Plants, Medicinal/classification*
;
Medicine, Chinese Traditional
4.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence
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Humans
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Delivery of Health Care
;
Generative Artificial Intelligence
5.Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.
Xiao Yun HU ; Wei Xuan SHENG ; Kang YU ; Jie Tai DUO ; Peng Fei LIU ; Ya Wei LI ; Dong Xin WANG ; Hui Hui MIAO
Biomedical and Environmental Sciences 2025;38(3):328-340
OBJECTIVE:
This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients.
METHODS:
This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments.
RESULTS:
Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872.
CONCLUSION
We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged
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Aged, 80 and over
;
Female
;
Humans
;
Male
;
Middle Aged
;
Cardiovascular Diseases/etiology*
;
Machine Learning
;
Postoperative Complications/etiology*
;
Risk Factors
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Randomized Controlled Trials as Topic
;
Secondary Data Analysis
6.Primary Non-Hodgkin Lymphoma in the Female Genital System: Report of Two Cases and Review of the Literature.
Tian-Yu ZHANG ; Li QIN ; Dong-Yan CAO ; Jia-Xin YANG ; Yi LIU ; Tao WANG
Acta Academiae Medicinae Sinicae 2025;47(2):314-318
Primary female genital system lymphoma(PFGSL)is a rare subtype of extranodal lymphoma and patients commonly present in the department of gynecology.At present,there is a lack of uniform standards for the treatment of PFGSL.Although the classification of lymphoid neoplasmas was updated by the World Health Organization classification of haematolymphoid tumors in 2016,PFGSL was still not elaborated in sufficient detail.Most cases of PFGSL are non-Hodgkin lymphoma,involving the ovary and cervix.In some cases,involvement of uterine corpus,vagina,and vulva is reported.In this article,we report two cases of non-Hodgkin lymphoma in the female genital system,one from the uterus and the other from the ovary.By presenting the diagnosis and treatment of the two cases and reviewing the literature,we aim to provide a reference for clinicians in recognizing and treating rare cases.
Female
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Humans
;
Genital Neoplasms, Female/diagnosis*
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Lymphoma, Non-Hodgkin/diagnosis*
;
Ovarian Neoplasms
7.High-risk factors for significant liver histopathological damage in patients with indeterminate phase of chronic HBV infection
Wenchang WANG ; Xuyang LI ; Chunyan WANG ; Mengwen HE ; Yifan GUO ; Yiming FU ; Miao LIU ; Dong JI
Journal of Clinical Hepatology 2025;41(11):2258-2264
ObjectiveTo investigate the features of liver histopathological damage in patients with indeterminate phase of chronic HBV infection, as well as the timing for initiating antiviral therapy in such patients. MethodsA retrospective screening was performed for the patients with chronic HBV infection who were hospitalized in The Fifth Medical Center of Chinese PLA General Hospital and underwent liver biopsy from March 2018 to April 2022, among whom the patients who met the criteria for indeterminate phase defined in Chinese guidelines for chronic hepatitis B prevention and treatment (2022 edition) were enrolled, and their clinical data were collected. Liver histopathological stage was determined using the Scheuer scoring system, with stages 0 — 4 for inflammation grade (G) and stages 0 — 4 for fibrosis degree (S), and the patients were divided into groups based on the presence of significant necroinflammation (≥G2) and significant liver fibrosis (≥S2). The independent samples t-test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A Spearman’s rank correlation analysis was used to investigate the correlation between liver histopathology and clinical factors, and the Logistic regression model was used to identify the independent influencing factors for significant necroinflammation and liver fibrosis. ResultsA total of 271 patients with indeterminate phase of chronic HBV infection were enrolled, among whom 61 (22.5%) had significant necroinflammation (≥G2) and 124 (45.8%) had significant liver fibrosis (≥S2). The Logistic regression analysis showed that alanine aminotransferase ≥30 U/L (for male patients) or ≥19 U/L (for female patients) (odds ratio [OR]=2.69, 95% confidence interval [CI]: 1.39 — 5.21, P=0.003), HBV DNA ≥2 000 IU/mL (OR=2.75, 95%CI: 1.38 — 5.48, P=0.004), and liver stiffness measurement (LSM) ≥6.0 kPa (OR=4.57, 95%CI: 2.17 — 9.62, P<0.001) were independent risk factors for significant inflammation. HBV DNA ≥2 000 IU/mL (OR=1.82, 95%CI: 1.01 — 3.32, P=0.049) and LSM ≥6.0 kPa (OR=2.06, 95%CI: 1.23 — 3.43, P=0.006) were independent influencing factors for significant liver fibrosis. ConclusionAmong the patients with indeterminate phase of chronic HBV infection, a substantial proportion of patients have significant liver histopathological damage. Antiviral therapy should be initiated in a timely manner for patients with high-risk factors.
8.Molecular characteristics and drug susceptibility analysis of Streptococcus agalactiae from respiratory specimen sources
Xiao HAN ; Xinyi GONG ; Beibei MIAO ; Huan XING ; Zeliang LIU ; Pengfang GAO ; Yuelong LI ; Jiachen LI ; Yating TANG ; Yanlei GE ; Aiying DONG ; Juan LI
Chinese Journal of Preventive Medicine 2024;58(6):891-897
To study the carriage status of drug susceptibility, clonal complex groups, serotypes, surface proteins and virulence genes of Streptococcus agalactiae from respiratory specimen sources. A total of 35 strains of S.agalactiae meeting the criteria were collected from 3 hospitals in 2 locations, Tangshan and Jinan. The age span of the patients was 3 days-92 years, and the percentage of elderly patients≥60 years was 71.5%.The susceptibility to 9 antimicrobial drugs was measured and analyzed using the micro broth dilution method. The strains were 100.0% sensitive to penicillin, linezolid, vancomycin, and ceftriaxone; However, it exhibits high resistance rates to erythromycin, clindamycin and levofloxacin, at 97.1%, 85.7% and 82.9% respectively; and the resistance rates to tetracycline and chloramphenicol were 34.3% and 14.2%, respectively. Genome sequence determination and analysis showed that 16 resistance genes were detected in 35 strains, among which: macrolide and lincosamide resistance genes were mainly ermB, with a carrying rate of 74.2%; tetracycline resistance genes were mainly tetM, with a carrying rate of 25.7%; in addition, the mutation rates of the quinolone resistance determinants gyrA and parC were 88.5% and 85.7%, respectively. 35 strains belonged to 6 ST types and 4 clonal groups, with CC10/ST10 as the main one, accounting for 62.8%; they contained 4 serotypes of Ⅰb, Ⅱ, Ⅲ, and Ⅴ, as well as 1 untyped strain, with serotype Ⅰb as the main one, accounting for 65.7%. The strains carried three pilus types, PI1+PI2a, PI2a and PI2b types, respectively, and detected five surface proteins, alpha, alp1, rib, srr, and r df_0594, and seven virulence factors, cba, cfb, cylE, fbsA, hylB, l mb, and pavA. Overall, S.agalactiae isolated from respiratory tract specimens is predominantly sourced from elderly patients, with CC10 strains being most prevalent. These strains harbor multiple drug-resistant and virulence genes, demonstrating elevated resistance rates to macrolides, lincosamides, and quinolones. This emphasizes the necessity for vigilant attention to the health threat posed by S. agalactiae from respiratory tract speciments of elderly patients.
9.Molecular characteristics and drug susceptibility analysis of Streptococcus agalactiae from respiratory specimen sources
Xiao HAN ; Xinyi GONG ; Beibei MIAO ; Huan XING ; Zeliang LIU ; Pengfang GAO ; Yuelong LI ; Jiachen LI ; Yating TANG ; Yanlei GE ; Aiying DONG ; Juan LI
Chinese Journal of Preventive Medicine 2024;58(6):891-897
To study the carriage status of drug susceptibility, clonal complex groups, serotypes, surface proteins and virulence genes of Streptococcus agalactiae from respiratory specimen sources. A total of 35 strains of S.agalactiae meeting the criteria were collected from 3 hospitals in 2 locations, Tangshan and Jinan. The age span of the patients was 3 days-92 years, and the percentage of elderly patients≥60 years was 71.5%.The susceptibility to 9 antimicrobial drugs was measured and analyzed using the micro broth dilution method. The strains were 100.0% sensitive to penicillin, linezolid, vancomycin, and ceftriaxone; However, it exhibits high resistance rates to erythromycin, clindamycin and levofloxacin, at 97.1%, 85.7% and 82.9% respectively; and the resistance rates to tetracycline and chloramphenicol were 34.3% and 14.2%, respectively. Genome sequence determination and analysis showed that 16 resistance genes were detected in 35 strains, among which: macrolide and lincosamide resistance genes were mainly ermB, with a carrying rate of 74.2%; tetracycline resistance genes were mainly tetM, with a carrying rate of 25.7%; in addition, the mutation rates of the quinolone resistance determinants gyrA and parC were 88.5% and 85.7%, respectively. 35 strains belonged to 6 ST types and 4 clonal groups, with CC10/ST10 as the main one, accounting for 62.8%; they contained 4 serotypes of Ⅰb, Ⅱ, Ⅲ, and Ⅴ, as well as 1 untyped strain, with serotype Ⅰb as the main one, accounting for 65.7%. The strains carried three pilus types, PI1+PI2a, PI2a and PI2b types, respectively, and detected five surface proteins, alpha, alp1, rib, srr, and r df_0594, and seven virulence factors, cba, cfb, cylE, fbsA, hylB, l mb, and pavA. Overall, S.agalactiae isolated from respiratory tract specimens is predominantly sourced from elderly patients, with CC10 strains being most prevalent. These strains harbor multiple drug-resistant and virulence genes, demonstrating elevated resistance rates to macrolides, lincosamides, and quinolones. This emphasizes the necessity for vigilant attention to the health threat posed by S. agalactiae from respiratory tract speciments of elderly patients.
10.Effects of hydroxysafflor yellow A on autophagy in bEnd.3 cells after oxygen-glucose deprivation
Yao-Yao DAI ; Meng-Qi SHU ; Ru-Heng WEI ; Zhu-Yue MIAO ; Zhi-Bin DING ; Dong MA ; Jian-Jun HUANG ; Li-Juan SONG ; Cun-Gen MA
The Chinese Journal of Clinical Pharmacology 2024;40(12):1734-1738
Objective To explore the effect and mechanism of hydroxysafflor yellow A(HSYA)on autophagy in bEnd.3 cells after oxygen-glucose deprivation(OGD).Methods The bEnd.3 cells were divided into normal group(conventional culture),model group(OGD model),HSYA group(OGD model+75 μmol·L-1 HSYA),3-methyladenine(3MA)group(5 mmol·L-1 3MA+OGD model)and 3 MA+HSYA group(5 mmol·L-1 3 MA+OGD model+75 μmol·L-1 HSYA).The level of apoptosis was determined by TUNEL fluorescence staining;Western blot was used to detect the expression of autophagy,blood brain barrier(BBB)related proteins;real time fluorescence quantitative polymerase chain reaction method for determining the expression of sirtuin-1(SIRT1)and forkhead box protein O3a(FOXO3A)mRNA.Results In the normal group,model group,HSYA group,3MA group and 3MA+HSYA group,the positive cells selected for TUNEL staining were 5.00±1.00,28.00±2.00,21.00±3.00,35.33±2.51 and 29.67±2.52;the expression levels of microtubule-associated protein 1 light chain 3-Ⅱ/-Ⅰ(LC3-Ⅱ/-Ⅰ)were 0.90±0.20,1.34±0.10,1.95±0.14,0.76±0.15 and 1.14±0.09;sequestosome 1(P62)were 0.99±0.02,0.60±0.02,0.38±0.01,0.67±0.04 and 0.54±0.01;occludin were 1.39±0.17,0.62±0.15,1.00±0.09,0.40±0.13 and 0.80±0.15;zonula occludens-1(ZO-1)were 1.63±0.20,0.64±0.06,0.98±0.14,0.37±0.14 and 0.87±0.04;SIRT1 mRNA were 1.00±0.00,0.75±0.07,1.69±0.09,0.31±0.02 and 0.56±0.01;FOXO3A mRNA were 1.00±0.00,0.80±0.05,1.47±0.09,0.40±0.01 and 0.62±0.09,respectively.Significant differences were found between model group and normal group,HSYA group and model group,3MA+HSYA group and 3MA group(P<0.05,P<0.01,P<0.001).Conclusion HSYA may enhance autophagy levels in bEnd.3 cells after OGD through the SIRT1/FOXO3A pathway,inhibit cell apoptosis and alleviate BBB damage.

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