2023
DOI: 10.3389/fcell.2022.1070516
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Bibliometric analysis of scientific papers on extracellular vesicles in kidney disease published between 1999 and 2022

Abstract: Background: In recent years, there has been an increasing interest in using extracellular vesicles (EVs) as potential therapeutic agents or natural drug delivery systems in kidney-related diseases. However, a detailed and targeted report on the current condition of extracellular vesicle research in kidney-related diseases is lacking. Therefore, this prospective study was designed to investigate the use of bibliometric analysis to comprehensively overview the current state of research and frontier trends on ext… Show more

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Cited by 3 publications
(2 citation statements)
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“…LncRNAs like NEAT1 play a crucial role in real-time monitoring of pancreatic ductal adenocarcinoma (PDAC), providing vital information for disease tracking and treatment evaluation [79,80]. Across various cancers, lncRNAs, such as HOTAIR in ovarian cancer, serve as prognostic markers, aiding personalized treatment planning and predicting resistance to platinum-based chemotherapy [81,82]. In colorectal cancer and non-small cell lung cancer (NSCLC), lncRNAs like MALAT1 and SNHG16 function as prognostic markers, indicating poor prognosis, tumor aggressiveness, and disease stage.…”
Section: Clinical Implications and Therapeutic Potential Of Lncrnasmentioning
confidence: 99%
See 1 more Smart Citation
“…LncRNAs like NEAT1 play a crucial role in real-time monitoring of pancreatic ductal adenocarcinoma (PDAC), providing vital information for disease tracking and treatment evaluation [79,80]. Across various cancers, lncRNAs, such as HOTAIR in ovarian cancer, serve as prognostic markers, aiding personalized treatment planning and predicting resistance to platinum-based chemotherapy [81,82]. In colorectal cancer and non-small cell lung cancer (NSCLC), lncRNAs like MALAT1 and SNHG16 function as prognostic markers, indicating poor prognosis, tumor aggressiveness, and disease stage.…”
Section: Clinical Implications and Therapeutic Potential Of Lncrnasmentioning
confidence: 99%
“…AI applications, particularly in forecasting lncRNAs regulating inflammation in acute kidney injury, pave the way for innovative antiinflammatory treatments, with ongoing development of machine learning techniques [85,86]. Future directions in lncRNA research suggest promising avenues, including the development of focused kidney damage treatments and non-invasive diagnostic tools through the identification of disease-specific lncRNAs [82]. Research on lncRNA-based regenerative medicine explores the potential use of lncRNAs to promote kidney regeneration and healing post-injury.…”
Section: Clinical Implications and Therapeutic Potential Of Lncrnasmentioning
confidence: 99%