1.Development status and ethical challenges of artificial intelligence in traditional Chinese medicine
Jiaqing DAI ; Yuxuan JIANG ; Jingnan HU ; Liu YANG ; Lifang GUO
Chinese Medical Ethics 2025;38(2):173-178
In the context of the rapid development of 5G technology, the development of artificial intelligence (AI) in traditional Chinese medicine (TCM) faces new opportunities and challenges. Focusing on how to uphold tradition while innovating in the development of AI in TCM, starting from the current development status of AI in Chinese medicine, including the integration of four diagnostic methods, syndrome differentiation and treatment, auxiliary diagnosis and treatment, research and development of Chinese herbal medicine, prevention and treatment of diseases, knowledge inheritance, and other aspects, this paper discussed the support of policies and technical advancements, as well as development opportunities such as increased demand for health. Regarding machine ethics, data ethics, regulatory review, and other aspects, it also proposed some suggestions that the training algorithm should be improved to assist medical work; data ownership should be clarified to ensure data security; and an AI ethics committee should be set up to improve the review system, aiming to maximize the advantages of smart healthcare and accelerate the modernization of TCM for the benefit of patients and the service of human health.
2.Cross lagged analysis of anxiety and depressive symptoms,uncertainty stress with academic buoyancy in college students
LIU Yuxuan, WANG Yuhao, WANG Yihan, WANG Yingxue, HU Xinyi, TIAN Susu, TIAN Jiayi, WANG Wei
Chinese Journal of School Health 2025;46(6):832-836
Objective:
To examine the reciprocal relationships of anxiety and depressive symptoms,uncertainty stress with academic buoyancy among college students, providing evidence for mental health promotion and academic resilience enhancement.
Methods:
A multi stage cluster random sampling method was used to selected 741 undergraduates from grade 1 to 2 of a university in Xuzhou, Jiangsu Province. Participants completed two waves of surveys (T1: October 2022; T2: October 2023) using the Uncertainty Stress Scale, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Academic Buoyancy Scale. Cross lagged models analyzed bidirectional relationships between three mental health variables and academic buoyancy, followed by latent variable modeling integrating all mental health dimensions.
Results:
Cross lagged model results revealed that T1 uncertainty stress negatively predicted T2 academic buoyancy ( β =-0.14), while T1 academic buoyancy negatively predicted T2 uncertainty stress ( β =-0.11); T1 depressive symptom negatively predicted T2 academic buoyancy ( β =-0.08), while T1 academic buoyancy negatively predicted T2 depressive symptom ( β =-0.09); furthermore, T1 academic buoyancy negatively predicted T2 anxiety symptom( β =-0.10) ( P <0.05). Results from the latent variable cross lagged model of psychological problems (constructed from the three mental health variables) indicated that T1 psychological problems negatively predicted T2 academic buoyancy ( β =-0.09), while T1 academic buoyancy negatively predicted T2 psychological problems ( β =-0.09) ( P <0.05).
Conclusions
Longitudinal bidirectional relationships exist between mental health status and academic buoyancy in college students. Better mental health facilitates higher academic buoyancy.
3.Enhanced radiotheranostic targeting of integrin α5β1 with PEGylation-enabled peptide multidisplay platform (PEGibody): A strategy for prolonged tumor retention with fast blood clearance.
Siqi ZHANG ; Xiaohui MA ; Jiang WU ; Jieting SHEN ; Yuntao SHI ; Xingkai WANG ; Lin XIE ; Xiaona SUN ; Yuxuan WU ; Hao TIAN ; Xin GAO ; Xueyao CHEN ; Hongyi HUANG ; Lu CHEN ; Xuekai SONG ; Qichen HU ; Hailong ZHANG ; Feng WANG ; Zhao-Hui JIN ; Ming-Rong ZHANG ; Rui WANG ; Kuan HU
Acta Pharmaceutica Sinica B 2025;15(2):692-706
Peptide-based radiopharmaceuticals targeting integrin α5β1 show promise for precise tumor diagnosis and treatment. However, current peptide-based radioligands that target α5β1 demonstrate inadequate in vivo performance owing to limited tumor retention. The use of PEGylation to enhance the tumor retention of radiopharmaceuticals by prolonging blood circulation time poses a risk of increased blood toxicity. Therefore, a PEGylation strategy that boosts tumor retention while minimizing blood circulation time is urgently needed. Here, we developed a PEGylation-enabled peptide multidisplay platform (PEGibody) for PR_b, an α5β1 targeting peptide. PEGibody generation involved PEGylation and self-assembly. [64Cu]QM-2303 PEGibodies displayed spherical nanoparticles ranging from 100 to 200 nm in diameter. Compared with non-PEGylated radioligands, [64Cu]QM-2303 demonstrated enhanced tumor retention time due to increased binding affinity and stability. Importantly, the biodistribution analysis confirmed rapid clearance of [64Cu]QM-2303 from the bloodstream. Administration of a single dose of [177Lu]QM-2303 led to robust antitumor efficacy. Furthermore, [64Cu]/[177Lu]QM-2303 exhibited low hematological and organ toxicity in both healthy and tumor-bearing mice. Therefore, this study presents a PEGibody-based radiotheranostic approach that enhances tumor retention time and provides long-lasting antitumor effects without prolonging blood circulation lifetime. The PEGibody-based radiopharmaceutical [64Cu]/[177Lu]QM-2303 shows great potential for positron emission tomography imaging-guided targeted radionuclide therapy for α5β1-overexpressing tumors.
4.Fibroblast activation protein targeting radiopharmaceuticals: From drug design to clinical translation.
Yuxuan WU ; Xingkai WANG ; Xiaona SUN ; Xin GAO ; Siqi ZHANG ; Jieting SHEN ; Hao TIAN ; Xueyao CHEN ; Hongyi HUANG ; Shuo JIANG ; Boyang ZHANG ; Yingzi ZHANG ; Minzi LU ; Hailong ZHANG ; Zhicheng SUN ; Ruping LIU ; Hong ZHANG ; Ming-Rong ZHANG ; Kuan HU ; Rui WANG
Acta Pharmaceutica Sinica B 2025;15(9):4511-4542
The activation proteins released by fibroblasts in the tumor microenvironment regulate tumor growth, migration, and treatment response, thereby influencing tumor progression and therapeutic outcomes. Owing to the proliferation and metastasis of tumors, fibroblast activation protein (FAP) is typically highly expressed in the tumor stroma, whereas it is nearly absent in adult normal tissues and benign lesions, making it an attractive target for precision medicine. Radiolabeled agents targeting FAP have the potential for targeted cancer diagnosis and therapy. This comprehensive review aims to describe the evolution of FAPI-based radiopharmaceuticals and their structural optimization. Within its scope, this review summarizes the advances in the use of radiolabeled small molecule inhibitors for tumor imaging and therapy as well as the modification strategies for FAPIs, combined with insights from structure-activity relationships and clinical studies, providing a valuable perspective for radiopharmaceutical clinical development and application.
5.Application of 3-D ultrasonography with a wide band linear matrix array volume transducer in preoperative localisation of perforating vessels of free anterolateral thigh perforator flap
Yuxuan ZHANG ; Yajun XU ; Jiandong ZHOU ; Tonglong XU ; Xingfei ZHANG ; Yuxuan HU
Chinese Journal of Microsurgery 2024;47(1):17-21
Objective:To investigate the application of 3-D ultrasonography enabled by a wide band linear matrix array volume transducer in the localisation of perforating vessels of a free anterolateral thigh perforator flap (ALTPF) before surgery, and to guide microsurgeons in precise design and harvest of a ALTPF.Methods:From May 2020 to October 2022, a retrospective study was carried out on 35 patients who had soft tissue defects and undertaken free ALTPF surgery in Department of Foot and Ankle Surgery, Wuxi No.9 People's Hospital Affiliated to Soochow University. ALTPFs were transfered for reconstruction of soft tissue defects of foot in 25 patients and of ankle in 10 patients. The age of patients were 20 to 66 years old. The defects were 11.0 cm×8.0 cm-28.0 cm×9.0 cm in size. The sizes of ALTPFs were at 12.0 cm×9.0 cm-29.0 cm×10.0 cm. Before surgery, ultrasound scans with a wide band linear matrix array volume transducer were performed to locate the perforating vessels. The 3-D ultrasound images showing the perforating vessels of ALTPFs were acquired and the number, location and classification of the perforating vessels were saved. After the appropriate perforating vessels had been determined, ALTPFs were designed for precisely intraoperative incision. The accuracy of preoperative location of perforating vessels by the linear matrix array volume ultrasound transducer was investigated in surgery. All patients received the scheduled postoperative follow-up at outpatient clinics.Results:Of the 72 perforating vessels discovered in surgery, 70 matched with those being located by ultrasound before surgery. It was found that a total of 67 perforating vessels located before surgery by ultrasonography were consistently mapped with the perforators discovered in surgery. Of the 67 consistently mapped perforating vessels, 19 were Kimura type I, 27 of Kimura type II and 21 of Kimura type III perforators. The rate of sensitivity and positive prediction were 95.7% and 93.1%, respectively, in the preoperative localisation of perforating vessels of ALTPFs with a wide band linear matrix array volume ultrasound transducer. Twenty-five ALTPFs were harvested subfascially and 10 superfascially. Average size of ALTPFs was 17.7 cm × 8.6 cm. The perforating vessels revealed during the harvest of all ALTPFs were basically consistent with the preoperative 3-D ultrasound. All flaps survived after surgery without any incident. The postoperative follow-up lasted 8 to 20 months, with 12.7 months in average.Conclusion:The 3-D ultrasonography with a wide band linear matrix array volume ultrasound transducer can accurately locate the perforating vessels of ALTPF before surgery. This technique has many advantages in the design and harvest of super-thin ALTPFs.
6.Latest research progress in airway stenosis after lung transplantation
Yujie ZUO ; Menggen LIU ; Jiaxin WAN ; Yuxuan CHEN ; Wenlong HU ; Junjie ZHANG ; Yuyang MAO ; Jing CHEN ; Ailing ZHONG ; Lingzhi SHI ; Bo WU ; Chunrong JU ; Dong TIAN
Organ Transplantation 2024;15(3):474-478
With the optimization of surgical technologies and postoperative management regimens, the number of lung transplantation has been significantly increased, which has become an important treatment for patients with end-stage lung disease. However, due to the impact of comprehensive factors, such as bronchial ischemia and immunosuppression, the incidence of airway stenosis after lung transplantation is relatively high, which severely affects postoperative survival and quality of life of lung transplant recipients. In recent years, with the improvement of perioperative management, organ preservation and surgical technologies, the incidence of airway stenosis after lung transplantation has been declined, but it remains at a high level. Early diagnosis and timely intervention play a significant role in enhancing clinical prognosis of patients with airway stenosis. In this article, the general conditions, diagnosis, treatment and prevention of airway stenosis after lung transplantation were reviewed, aiming to provide reference for comprehensive management of airway stenosis after lung transplantation and improving clinical prognosis of lung transplant recipients.
7.Research Progress on Dendrobii Officinalis Caulis as Medicinal and Edible Traditional Chinese Medicine
Yang HU ; Mian ZHAO ; Yuxuan QIU ; Debao YE ; Yangqing LIU ; Chaofeng ZHANG ; Haibo WANG ; Jian-Ming CHENG
Journal of Nanjing University of Traditional Chinese Medicine 2024;40(1):94-108
Tiepishihu(Dendrobii officinalis Caulis)is a medicinal and food source herbal medicine with the effect of benefiting stomach and promoting fluid,nourishing Yin and clearing heat.It has rich chemical components and pharmacological activities,with anti-inflammatory,anti-bacterial,anti-oxidation,anti-tumor,immunomodulatory,blood press regulation,hypoglycemic effects.It is not only used as medicinal food and health care products,but also widely used in medicine,such as Shihu Yeguang Wan,Compound fresh dendrobium granules and other drugs,with high medicinal and economic value.This paper summarized the resource distribution,chemical composition,pharmacological activities,and medicine and food of Dendrobii officinalis Caulis,and analyzed its application status,laying a theoretical foundation for the sustainable development,medicinal and food homologous development and comprehensive utilization of Dendrobii officinalis Caulis.
8.Advances in Immunological Studies of Targeted Radionuclide Therapy
Liping YANG ; Yuxuan ZHENG ; Zhuoling RAN ; Rui HU ; Yuwei LIANG ; Yue SUN ; Chang LU ; Huijie LI ; Xuhan LI ; Jian GONG
Herald of Medicine 2024;43(10):1598-1602
The killing effect of radiation therapy on healthy cells has led to the creation of targeted radionuclide therapy,which effectively reduces the damage to surrounding normal cells.At present,alpha(α)and beta(β)radionuclides are the research hotspots of targeted therapy.Numerous preclinical and clinical studies have shown that radiation therapy not only has local anti-tumor effects,but also exerts systemic anti-tumor effects by triggering the body's immune response.This paper describes in detail the characteristics and clinical applications of commonly used radionuclides,and discusses the mechanism of radiation-triggered body immune response as well as the related research on the combined use of radiation therapy,targeted radionuclide therapy and immunotherapy.
9.SnoRNAs: The promising targets for anti-tumor therapy.
Xiaoyun HU ; Wanlin CUI ; Min LIU ; Fangxiao ZHANG ; Yingqi ZHAO ; Mingrong ZHANG ; Yuhang YIN ; Yalun LI ; Ying CHE ; Xianglong ZHU ; Yuxuan FAN ; Xiaolan DENG ; Minjie WEI ; Huizhe WU
Journal of Pharmaceutical Analysis 2024;14(11):101064-101064
Recently, small nucleolar RNAs (snoRNAs) have transcended the genomic "noise" to emerge as pivotal molecular markers due to their essential roles in tumor progression. Substantial evidence indicates a strong association between snoRNAs and critical clinical features such as tumor pathology and drug resistance. Historically, snoRNA research has concentrated on two classical mechanisms: 2'-O-ribose methylation and pseudouridylation. This review specifically summarizes the novel regulatory mechanisms and functional patterns of snoRNAs in tumors, encompassing transcriptional, post-transcriptional, and post-translational regulation. We further discuss the synergistic effect between snoRNA host genes (SNHGs) and snoRNAs in tumor progression. More importantly, snoRNAs extensively contribute to the development of tumor cell resistance as oncogenes or tumor suppressor genes. Accordingly, we provide a comprehensive review of the clinical diagnosis and treatment associated with snoRNAs and explore their significant potential as novel drug targets.
10.Artificial Intelligence in the Prediction of Gastrointestinal Stromal Tumors on Endoscopic Ultrasonography Images: Development, Validation and Comparison with Endosonographers
Yi LU ; Jiachuan WU ; Minhui HU ; Qinghua ZHONG ; Limian ER ; Huihui SHI ; Weihui CHENG ; Ke CHEN ; Yuan LIU ; Bingfeng QIU ; Qiancheng XU ; Guangshun LAI ; Yufeng WANG ; Yuxuan LUO ; Jinbao MU ; Wenjie ZHANG ; Min ZHI ; Jiachen SUN
Gut and Liver 2023;17(6):874-883
Background/Aims:
The accuracy of endosonographers in diagnosing gastric subepithelial lesions (SELs) using endoscopic ultrasonography (EUS) is influenced by experience and subjectivity. Artificial intelligence (AI) has achieved remarkable development in this field. This study aimed to develop an AI-based EUS diagnostic model for the diagnosis of SELs, and evaluated its efficacy with external validation.
Methods:
We developed the EUS-AI model with ResNeSt50 using EUS images from two hospitals to predict the histopathology of the gastric SELs originating from muscularis propria. The diagnostic performance of the model was also validated using EUS images obtained from four other hospitals.
Results:
A total of 2,057 images from 367 patients (375 SELs) were chosen to build the models, and 914 images from 106 patients (108 SELs) were chosen for external validation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the model for differentiating gastrointestinal stromal tumors (GISTs) and non-GISTs in the external validation sets by images were 82.01%, 68.22%, 86.77%, 59.86%, and 78.12%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in the external validation set by tumors were 83.75%, 71.43%, 89.33%, 60.61%, and 80.56%, respectively. The EUS-AI model showed better performance (especially specificity) than some endosonographers.The model helped improve the sensitivity, specificity, and accuracy of certain endosonographers.
Conclusions
We developed an EUS-AI model to classify gastric SELs originating from muscularis propria into GISTs and non-GISTs with good accuracy. The model may help improve the diagnostic performance of endosonographers. Further work is required to develop a multi-modal EUS-AI system.


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