Obstructive sleep apnea (OSA) is a global public health concern characterized by repeated upper airway collapse during sleep. Research indicates that OSA is a risk factor for the development of various diseases, including cardiovascular disease, metabolic disorders, respiratory diseases, neurodegenerative diseases, and cancer. Exosomes, extracellular vesicles released by most cell types, play a key role in intercellular communication by transporting their contents-such as microRNA, messenger RNA, DNA, proteins, and lipids-to target cells. Intermittent hypoxia associated with OSA alters circulating exosomes and promotes a range of cellular structural and functional disturbances involved in the pathogenesis of OSA-related diseases. This review discusses the potential roles of exosomes and exosome-derived molecules in the onset and progression of OSA-associated diseases, explores the possible underlying mechanisms, and highlights novel strategies for developing exosome-based therapies for these conditions.
Humans ; Exosomes/physiology* ; Sleep Apnea, Obstructive/metabolism* ; Animals ; MicroRNAs/metabolism*

Triple-negative breast cancer is therapeutically challenging due to the low expression of tumor markers and 'cold' tumor immunosuppressive microenvironment. Here, we present a dual-targeting peptide-drug conjugate (PDC) for tumor inhibition. Our PDC efficiently and selectively delivers cytotoxic Monomethyl Auristatin E (MMAE) into tumor cells via C-X-C chemokine receptor type 4 (CXCR4) and folate receptor 1 (FOLR1) for synergistic inhibition of growth and metastasis. Our results show that the dual-targeting PDC has potent antitumor activity in cultured human cells and several murine transplanted tumor models without apparent toxicity. The combination of dual-targeting PDC and radiotherapy modulates the tumor immunosuppressive microenvironment by increasing CD8⁺ T cell infiltration and attenuating the proportion of myeloid-derived suppressor and regulatory T cells. Therefore, our dual-targeting PDC represents a promising new strategy for cancer therapy that rebalances the immune system and promotes tumor regression.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.

Objective To predict the potential suitable growth areas of Epimedium brevicornu Maxim.under current climate conditions in China;To provide basis for the sustainable utilization of Epimedium brevicornu Maxim.resources and production planning.Methods Based on 267 screened species distribution data of Epimedium brevicornu Maxim.and 8 environmental factors,the MaxEnt parameters were optimized by the R language kuenm package.The main environmental factors that affect the distribution of Epimedium brevicornu Maxim.was analyzed and its potential distribution range was predicted.Results The omission rate of the optimal model operation results was 0.044 8,AICc=6 409.884 5,AUC=0.986,indicating a high accuracy of the model.Based on the contribution rate of environmental factors and the knife cut method,it was indicated that the key environmental factors affecting the current distribution of Epimedium brevicornu Maxim.were mainly the average precipitation in July,the average highest temperature in February,the average precipitation in September,the coldest season precipitation,the coefficient of variation of precipitation,the standard deviation of seasonal temperature changes,and the warmest season precipitation.The simulation results showed that the total suitable area for Epimedium brevicornu Maxim.in China under current climate conditions was approximately 221.14×104 km2,concentrated in the central and central southern regions of China.The area of the high suitability zone was approximately 23.13×104 km2;the area of the suitable growth zone was approximately 73.78×104 km2;the area of low suitability zone was approximately 124.22×104 km2.Conclusion This study provides a basis and reference for the artificial cultivation planning and sustainable utilization of Epimedium brevicornu Maxim.resources.

Smart healthcare and digital transformation are the directions for development in the medical field.By Jilin University China-Japan Friendship Hospital Practice as an example,it explores the application of"artificial intelligence+big data"in the refined management service process of hospitals,focusing on its potential advantages in improving the level of medical services and meeting patient needs.By delving into the overall architecture of smart healthcare path design and refined smart management service processes,it aims to provide innovative ideas and effective methods for the digital transformation of the medical industry.