1.Mechanism of Traditional Chinese Medicine in Preventing and Treating Heart Failure Based on Macrophage Metabolism-Immune Regulatory Axis: A Review
Junlin ZHOU ; Xiaojiao ZHANG ; Jiahui CHEN ; Liyu LIN ; Shiyin ZHANG ; Yiyi CHEN ; Xiaoming DONG ; Wenjie LONG ; Huili LIAO ; Lu LU ; Zhongqi YANG ; Shihao NI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(23):269-282
Heart failure (HF) is the end-stage of various cardiovascular diseases, with high morbidity and mortality. The existing “new quadruple” standard treatment can hardly reverse the core pathological process of myocardial remodeling, and long-term medication may pose risks of drug resistance and adverse reactions. Therefore, new therapeutic targets and strategies are urgently needed. Metabolic reprogramming is the upstream core mechanism regulating phenotypic polarization and functional activation of macrophages, which drives the occurrence and development of HF through the core axis of metabolic reprogramming-immune imbalance-ventricular remodeling and has become a cutting-edge potential target for the prevention and treatment of HF. Traditional Chinese medicine (TCM) has a long history in the prevention and treatment of HF. A large number of studies in recent years have confirmed that different therapeutic methods of TCM can correct the polarization imbalance, restore the homeostasis of myocardial immune microenvironment, inhibit myocardial injury, and delay the pathological process of HF by targeting and regulating the metabolic reprogramming of glucose, lipids, mitochondria, and amino acids in macrophages. This paper systematically expounds the core pathological mechanism of metabolic reprogramming of macrophages in HF, sorts out the research progress of TCM in preventing and treating HF by intervening this target, analyzes the regulatory rules, summarizes the limitations of existing research, and puts forward future directions. This review aims to provide a systematic theoretical reference and new research ideas for TCM clinical diagnosis and treatment and new drug development of HF.
2.Research progress of adverse exposure in early life and abnormal visual acuity in offspring
LIU Shiyin, YOU Xue, LIN Xiaoyan, MAI Kaitong, LIU Xingtong, CAO Mengting, DU Jiangbo
Chinese Journal of School Health 2024;45(8):1203-1207
Abstract
In recent years, the prevention and treatment of eye diseases in children has become one of the worldwide recognized public health issues. Both genetic and environmental factors can influence the development of offspring visual systems, leading to abnormal vision acuity such as refractive errors, strabismus, and nystagmus. With the aim of elucidating the influencing factors and mechanisms of early life adverse exposures on offspring vision outcomes, the article summarizes the research on exposure in early life and visual acuity in offspring from different perspectives, including tobacco exposure during pregnancy, exposure to microelements, gestational diabetes, gestational hypertension, and drug abuse during pregnancy, so as to provide scientific evidence for the development of more effective strategies to prevent and control eye diseases in children and adolescents.
3.Progress in application of machine learning in epidemiology
Kaitong MAI ; Xingtong LIU ; Xiaoyan LIN ; Shiyin LIU ; Chenkai ZHAO ; Jiangbo DU
Chinese Journal of Epidemiology 2024;45(9):1321-1326
Population based health data collection and analysis are important in epidemiological research. In recent years, with the rapid development of big data, Internet and cloud computing, artificial intelligence has gradually attracted attention of epidemiological researchers. More and more researchers are trying to use artificial intelligence algorithms for genome sequencing and medical image data mining, and for disease diagnosis, risk prediction and others. In recent years, machine learning, a branch of artificial intelligence, has been widely used in epidemiological research. This paper summarizes the key fields and progress in the application of machine learning in epidemiology, reviews the development history of machine learning, analyzes the classic cases and current challenges in its application in epidemiological research, and introduces the current application scenarios and future development trends of machine learning and artificial intelligence algorithms for the better exploration of the epidemiological research value of massive medical health data in China.
4.Study of a new microwave applicator for hyperthermia treatment of uterocervical cancer.
Wei WANG ; Ronglin DING ; Haipan WANG ; Yingxin LI ; Shiyin LIN
Journal of Biomedical Engineering 2002;19(1):175-177
A new microwave applicator for intracavitary hyperthermia treatment of uterocervical cancer has been designed and tested. Compared with the traditional microwave applicators, the exposed inner conductor of this applicator is replaced by a cone-helical antenna with the reflect shade. We confirm that the heat pattern of the applicator is shifted towards the tip in muscle tissue equivalent phantom material. The result indicates that this new applicator may play an important role in clinical use for treatment.
Equipment Design
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Female
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Humans
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Hyperthermia, Induced
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instrumentation
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Microwaves
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therapeutic use
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Uterine Cervical Neoplasms
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therapy


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