1.Targeted Regulation of Inflammation-related Signaling Pathways by Traditional Chinese Medicine for Prevention and Treatment of Atherosclerosis: A Review
Shuang ZHAO ; Mingxue ZHANG ; Ning LIU ; Jianan SU ; Yuhan AO ; Jing LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):273-283
Atherosclerosis (AS) is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response, which runs through the physiological and pathological evolution process of AS, is one of the important mechanisms for AS occurrence. Currently, the treatment methods for AS in Western medicine are relatively mature. However, they have adverse reactions such as abnormal liver and kidney function, drug tolerance, target vessel restenosis, and stent thrombosis, which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine (TCM), characterized by multiple components, multiple targets, and multi-pathway synergy, shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways, such as nuclear factor-κB (NF-κB), Toll-like receptors (TLRs), mitogen-activated protein kinase (MAPK), and Janus kinase/signal transducer and activator of transcription (JAK/STAT), in the past five years. It summarized the combined mechanism of action of TCM monomers, TCM pairs, and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets, regulating lipid metabolism disorders, and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS, so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.
2.Targeted Regulation of Inflammation-related Signaling Pathways by Traditional Chinese Medicine for Prevention and Treatment of Atherosclerosis: A Review
Shuang ZHAO ; Mingxue ZHANG ; Ning LIU ; Jianan SU ; Yuhan AO ; Jing LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):273-283
Atherosclerosis (AS) is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response, which runs through the physiological and pathological evolution process of AS, is one of the important mechanisms for AS occurrence. Currently, the treatment methods for AS in Western medicine are relatively mature. However, they have adverse reactions such as abnormal liver and kidney function, drug tolerance, target vessel restenosis, and stent thrombosis, which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine (TCM), characterized by multiple components, multiple targets, and multi-pathway synergy, shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways, such as nuclear factor-κB (NF-κB), Toll-like receptors (TLRs), mitogen-activated protein kinase (MAPK), and Janus kinase/signal transducer and activator of transcription (JAK/STAT), in the past five years. It summarized the combined mechanism of action of TCM monomers, TCM pairs, and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets, regulating lipid metabolism disorders, and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS, so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.
3.Peroxisome proliferator activated receptor-α in renal injury: mechanisms and therapeutic implications.
Jing ZHOU ; Li LUO ; Junyu ZHU ; Huaping LIANG ; Shengxiang AO
Chinese Critical Care Medicine 2025;37(7):693-697
Peroxisome proliferator activated receptor-α (PPAR-α) is significantly expressed in various tissues such as the liver, kidney, myocardium, and skeletal muscle, which plays a central role in the development of various diseases by regulating key physiological processes such as energy homeostasis, redox balance, inflammatory response, and ferroptosis. As an important metabolic and excretory organ of the body, renal dysfunction can lead to water and electrolyte imbalance, toxin accumulation, and multiple system complications. The causes of kidney injury are complex and diverse, including acute injury factors (such as ischemia/reperfusion, nephrotoxic drugs, septic shock, and immune glomerulopathy), as well as chronic progressive causes [such as metabolic disease-related nephropathy, hypertensive nephropathy (HN)], and risk factors such as alcohol abuse, obesity, and aging. This review briefly describes the structure, function, and activity regulation mechanism of PPAR-α, systematically elucidates the molecular regulatory network of PPAR-α in the pathological process of kidney injury including acute kidney injury (AKI) such as renal ischemia/reperfusion injury (IRI), drug-induced AKI, sepsis-associated acute kidney injury (SA-AKI), glomerulonephritis, chronic kidney disease (CKD) such as diabetic nephropathy (DN), HN, and other kidney injury, and summarizes the mechanisms related to PPAR-α regulation of kidney injury, including regulation of metabolism, antioxidation, anti-inflammation, anti-fibrosis, and anti-ferroptosis. This review also evaluates PPAR-α's medical value as a novel therapeutic target, and aims to provide theoretical basis for the development of kidney protection strategies based on PPAR-α targeted intervention.
Humans
;
PPAR alpha/metabolism*
;
Acute Kidney Injury/therapy*
;
Animals
;
Kidney/metabolism*
4.Short-term Effects of Fine Particulate Matter and its Constituents on Acute Exacerbations of Chronic Bronchitis: A Time-stratified Case-crossover Study.
Jing Wei ZHANG ; Jian ZHANG ; Peng Fei LI ; Yan Dan XU ; Xue Song ZHOU ; Xiu Li TANG ; Jia QIU ; Zhong Ao DING ; Ming Jia XU ; Chong Jian WANG
Biomedical and Environmental Sciences 2025;38(3):389-393
5.Unlocking the dual role of autophagy: A new strategy for treating lung cancer.
Fei TANG ; Jing-Nan ZHANG ; Xiao-Lan ZHAO ; Li-Yue XU ; Hui AO ; Cheng PENG
Journal of Pharmaceutical Analysis 2025;15(3):101098-101098
Lung cancer exhibits the highest incidence and mortality rates among cancers globally, with a five-year overall survival rate alarmingly below 20%. Targeting autophagy, though a controversial therapeutic strategy, is extensively employed in clinical practice. Current research is actively pursuing various therapeutic strategies using small molecules to exploit the dual function of autophagy. Nevertheless, the pivotal question of enhancing or inhibiting autophagy in cancer therapy merits further attention. This review aims to provide a comprehensive overview of the mechanisms of autophagy in lung cancer. It also explores recent advances in targeting cytotoxic autophagy and inhibiting protective autophagy with small molecules to induce cell death in lung cancer cells. Notably, most autophagy-targeting drugs, primarily natural small molecules, have demonstrated that activating cytotoxic autophagy effectively induces cell death in lung cancer, as opposed to inhibiting protective autophagy. These insights contribute to identifying druggable targets and drug candidates for potential autophagy-related lung cancer therapies, offering promising approaches to combat this disease.
6.Discovery of toad-derived peptide analogue targeting ARF6 to induce immunogenic cell death for immunotherapy of hepatocellular carcinoma.
Dihui XU ; Xiang LV ; Meng YU ; Ao TAN ; Jiaojiao WANG ; Xinyi TANG ; Mengyuan LI ; Wenyuan WU ; Yuyu ZHU ; Jing ZHOU ; Hongyue MA
Journal of Pharmaceutical Analysis 2025;15(3):101038-101038
Image 1.
7.Quality inspection of ultrasound soft tissue cutting hemostatic equipment
Jing HUANG ; Qi-di SUN ; Ao-wen DUAN ; Li XU ; Heng-yu LONG ; Hai-jiang ZHU ; He-hua ZHANG
Chinese Medical Equipment Journal 2025;46(10):49-53
Objective To carry out quality inspection of the ultrasound soft tissue cutting hemostatic equipment to ensure its safety and effectiveness.Methods Five brands of ultrasound soft tissue cutting hemostatic equipment were selected and noted as test equipment A,test equipment B,test equipment C,test equipment D and test equipment E,which underwent quality inspection in terms of tip main amplitude,tip lateral amplitude,tip vibration frequency,excitation frequency,static electrical power and contact current based on YY/T 0644-2008 Ultrasonics-surgical systems—Measurement and declaration of the basic output characteristics,YY/T 1750-2020 Ultrasonic surgical equipmetn for soft tissue excision and hemostasia and GB 9706.1-2020 Medical electrical equipment—Part 1:General requirements for basic safety and essential performance.Results The test data of the five brands in terms of tip main amplitude,tip lateral amplitude,tip vibration frequency,excitation frequency,static electrical power and contact current met the technical requirements of YY/T 0644-2008,YY/T 1750-2020,GB 9706.1-2020.Conclusion The quality inspection of the ultrasound soft tissue cutting hemostatic equipment contributes to enhancing the accuracy and stability of the equipment and decreasing the risk during its clinical application.[Chinese Medical Equipment Journal,2025,46(10):49-53]
8.Transcatheter closure of atrial septal defect using fully biodegradable occluder under ultrasound guidance: A case report
Ying' ; ao ZHAO ; Yiming YAN ; Ziping LI ; Hang LI ; Fengwen ZHANG ; Fang FANG ; Guangzhi ZHAO ; Jing DONG ; Chuangshi WANG ; Jiande WANG ; Wenbin OUYANG ; Xiangbin PAN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(12):1796-1799
Currently, transcatheter intervention is the preferred treatment for patients with anatomically suitable atrial septal defects. However, the use of nickel-titanium alloy occluders in interventional procedures results in lifelong presence of the implant in the body, leading to complications such as metal allergies and arrhythmias in some patients. To overcome the short-term and long-term complications associated with the presence of metal, and to avoid radiation exposure and metal toxicity, this paper reports a case of successful transcatheter closure of atrial septal defect in a pediatric patient with metal allergies using fully biodegradable occluder under ultrasound guidance, achieving excellent results by interventional therapy.
9.Unlocking the dual role of autophagy:A new strategy for treating lung cancer
Fei TANG ; Jing-Nan ZHANG ; Xiao-Lan ZHAO ; Li-Yue XU ; Hui AO ; Cheng PENG
Journal of Pharmaceutical Analysis 2025;15(3):523-533
Lung cancer exhibits the highest incidence and mortality rates among cancers globally,with a five-year overall survival rate alarmingly below 20%.Targeting autophagy,though a controversial therapeutic strategy,is extensively employed in clinical practice.Current research is actively pursuing various therapeutic strategies using small molecules to exploit the dual function of autophagy.Nevertheless,the pivotal question of enhancing or inhibiting autophagy in cancer therapy merits further attention.This review aims to provide a comprehensive overview of the mechanisms of autophagy in lung cancer.It also explores recent advances in targeting cytotoxic autophagy and inhibiting protective autophagy with small molecules to induce cell death in lung cancer cells.Notably,most autophagy-targeting drugs,primarily natural small molecules,have demonstrated that activating cytotoxic autophagy effectively induces cell death in lung cancer,as opposed to inhibiting protective autophagy.These insights contribute to identifying druggable targets and drug candidates for potential autophagy-related lung cancer therapies,offering promising approaches to combat this disease.
10.Identification of paraglottic space invasion in enhanced CT scans of hypopharyngeal cancer by 3D super-resolution reconstruction technology and deep learning
Wenlun WANG ; Zhiwei LIU ; Jing′ao LI ; Chenyang XU ; Dongmin WEI ; Ye QIAN ; Wenming LI ; Dapeng LEI
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2025;60(10):1232-1242
Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Result Analysis
Print
Save
E-mail