Exosomes as a delivery tool of exercise-induced beneficial factors for the prevention and treatment of cardiovascular disease: a systematic review and meta-analysis

Lai, Zhijie; Liang, Jiling; Zhang, Jingfeng; Mao, Yuheng; Zheng, Xinguang; Shen, Xiang; Lin, Wentao; Xu, Guoqin

doi:10.3389/fphys.2023.1190095

Cited by 8 publications

(1 citation statement)

References 57 publications

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“…This waste disposal process not only ensures the preservation of cellular integrity and functionality but also contributes to the overall health and homeostasis of multicellular organisms. Moreover, the role of exosomes in waste removal extends beyond the individual cell, as they can be released into extracellular environments, such as bodily fluids, where they can aid in systemic waste clearance and potentially play a role in intercellular signaling ( Nik Mohamed Kamal and Shahidan, 2021 ; Lai et al, 2023 ).…”

Section: Generation Of Exosome and Its Functionmentioning

confidence: 99%

Exosomes: a promising avenue for cancer diagnosis beyond treatment

Wang,

Qin

et al. 2024

Front. Cell Dev. Biol.

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Exosomes, extracellular vesicles secreted by cells, have garnered significant attention in recent years for their remarkable therapeutic potential. These nanoscale carriers can be harnessed for the targeted delivery of therapeutic agents, such as pharmaceuticals, proteins, and nucleic acids, across biological barriers. This versatile attribute of exosomes is a promising modality for precision medicine applications, notably in the realm of cancer therapy. However, despite their substantial therapeutic potential, exosomes still confront challenges tied to standardization and scalability that impede their practice in clinical applications. Moreover, heterogeneity in isolation methodologies and limited cargo loading mechanisms pose obstacles to ensuring consistent outcomes, thereby constraining their therapeutic utility. In contrast, exosomes exhibit a distinct advantage in cancer diagnosis, as they harbor specific signatures reflective of the tumor’s genetic and proteomic profile. This characteristic endows them with the potential to serve as valuable liquid biopsies for non-invasive and real-time monitoring, making possible early cancer detection for the development of personalized treatment strategies. In this review, we provide an extensive evaluation of the advancements in exosome research, critically examining their advantages and limitations in the context of cancer therapy and early diagnosis. Furthermore, we present a curated overview of the most recent technological innovations utilizing exosomes, with a focus on enhancing the efficacy of early cancer detection.

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Section: Generation Of Exosome and Its Functionmentioning

confidence: 99%

Exosomes: a promising avenue for cancer diagnosis beyond treatment

Wang,

Qin

et al. 2024

Front. Cell Dev. Biol.

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Semi-synthetic chondroitin sulfate CS-semi5 upregulates miR-122-5p, conferring a therapeutic effect on osteoarthritis via the p38/MMP13 pathway

Li,

Zhou,

Chen

et al. 2024

Acta Pharmaceutica Sinica B

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Disentangled similarity graph attention heterogeneous biological memory network for predicting disease-associated miRNAs

Liu,

Wu,

Zhou

et al. 2024

BMC Genomics

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Background The association between MicroRNAs (miRNAs) and diseases is crucial in treating and exploring many diseases or cancers. Although wet-lab methods for predicting miRNA-disease associations (MDAs) are effective, they are often expensive and time-consuming. Significant advancements have been made using Graph Neural Network-based methods (GNN-MDAs) to address these challenges. However, these methods still face limitations, such as not considering nodes’ deep-level similarity associations and hierarchical learning patterns. Additionally, current models do not retain the memory of previously learned heterogeneous historical information about miRNAs or diseases, only focusing on parameter learning without the capability to remember heterogeneous associations. Results This study introduces the K-means disentangled high-level biological similarity to utilize potential hierarchical relationships fully and proposes a Graph Attention Heterogeneous Biological Memory Network architecture (DiGAMN) with memory capabilities. Extensive experiments were conducted across four datasets, comparing the DiGAMN model and its disentangling method against ten state-of-the-art non-disentangled methods and six traditional GNNs. DiGAMN excelled, achieving AUC scores of 96.35%, 96.10%, 96.01%, and 95.89% on the Data1 to Data4 datasets, respectively, surpassing all other models. These results confirm the superior performance of DiGAMN and its disentangling method. Additionally, various ablation studies were conducted to validate the contributions of different modules within the framework, and’s encoding statuses and memory units of DiGAMN were visualized to explore the utility and functionality of its modules. Case studies confirmed the effectiveness of DiGAMN’s predictions, identifying several new disease-associated miRNAs. Conclusions DiGAMN introduces the use of a disentangled biological similarity approach for the first time and successfully constructs a Disentangled Graph Attention Heterogeneous Biological Memory Network model. This network can learn disentangled representations of similarity information and effectively store the potential biological entanglement information of miRNAs and diseases. By integrating disentangled similarity information with a heterogeneous attention memory network, DiGAMN enhances the model’s ability to capture and utilize complex underlying biological data, significantly outperforming many existing models. The concepts used in this method also provide new perspectives for predicting miRNAs associated with diseases. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-024-11078-4.

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Exosomes as a delivery tool of exercise-induced beneficial factors for the prevention and treatment of cardiovascular disease: a systematic review and meta-analysis

Cited by 8 publications

References 57 publications

Exosomes: a promising avenue for cancer diagnosis beyond treatment

Exosomes: a promising avenue for cancer diagnosis beyond treatment

Semi-synthetic chondroitin sulfate CS-semi5 upregulates miR-122-5p, conferring a therapeutic effect on osteoarthritis via the p38/MMP13 pathway

Disentangled similarity graph attention heterogeneous biological memory network for predicting disease-associated miRNAs

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