Extracellular vesicles (EVs) are nanoscale, membrane-enclosed structures released by cells into the extracellular milieu. These vesicles encapsulate a diverse array of molecular constituents, including nucleic acids, proteins, and lipids, which provide insights into the physiological or pathological conditions of their parent cells. Despite their potential, the study of EV-derived DNA (EV-DNA) has gathered relatively limited attention. This review aims to present a thorough examination of the emerging knowledge surrounding the utility of EV-DNA as a non-invasive biomarker across a spectrum of diseases. The review delves into various mechanisms underlying DNA packaging within EVs and the prevalent methodologies employed for extraction of EV-DNA. The relevance of EV-DNA is assessed across numerous health conditions, notably cancer, cardiovascular diseases, neurodegenerative disorders, infectious diseases, and pregnancy-related complications. The use of EV-DNA for cancer mutation detection has demonstrated remarkable sensitivity and specificity, thereby enhancing both diagnostic accuracy and therapeutic monitoring. In the context of cardiovascular diseases, EV-DNA serves as a predictive marker for events such as myocardial infarctions and shows a correlation with the severity of the disease. With respect to neurodegenerative conditions, including Parkinson's and Alzheimer's, EV-DNA contributes to the understanding of disease mechanisms and progression. Additionally, it plays an essential role in modulating immune tolerance and facilitating communication between maternal and fetal systems. Although there is a pressing need for standardized protocols for EV isolation and DNA analysis to facilitate clinical implementation, the prospect of EV-DNA as a non-invasive biomarker for diagnostic and prognostic purposes across diverse pathological conditions is considerable.
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http://dx.doi.org/10.1016/j.cca.2025.120125 | DOI Listing |
Int J Surg
January 2025
Department of neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: Risk factors and mechanisms of cognitive impairment (CI) after aneurysmal subarachnoid hemorrhage (aSAH) are unclear. This study used a neuropsychological battery, MRI, ERP and CSF and plasma biomarkers to predict long-term cognitive impairment after aSAH.
Materials And Methods: 214 patients hospitalized with aSAH (n = 125) or unruptured intracranial aneurysms (UIA) (n = 89) were included in this prospective cohort study.
Nanoscale
January 2025
Institute of Inorganic Chemistry, Graz University of Technology, 8010 Graz, Austria.
Among the various types of pancreatic cancers, pancreatic ductal adenocarcinoma (PDAC) is the most lethal and aggressive, due to its tendency to metastasize quickly and has a particularly low five-year survival rate. Carbohydrate antigen 19-9 (CA 19-9) is the only biomarker approved by the Food and Drug Administration for PDAC and has been a focal point in diagnostic strategies, but its sensitivity and specificity are not sufficient for early and accurate detection. To address this issue, we introduce a synergistic approach combining CA 19-9 levels with a graphene oxide (GO)-based blood test.
View Article and Find Full Text PDFFront Aging Neurosci
January 2025
Department of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Purpose: Differentiating between Alzheimer's disease (AD) and frontotemporal dementia (FTD) can be challenging due to overlapping cognitive and behavioral manifestations. Evidence regarding non-invasive and early-stage biomarkers remains limited. Our aim was to identify retinal biomarkers for the risk of AD and FTD in populations without dementia and explore underlying brain structural mechanisms.
View Article and Find Full Text PDFBackground: Tau protein accumulation is closely linked to synaptic and neuronal loss in Alzheimer's disease (AD), resulting in progressive cognitive decline. Although tau-PET imaging is a direct biomarker of tau pathology, it is costly, carries radiation risks, and is not widely accessible. Resting-state functional MRI (rs-fMRI) complexity-an entropy-based measure of BOLD signal variation-has been proposed as a non-invasive surrogate biomarker of early neuronal dysfunction associated with tau pathology.
View Article and Find Full Text PDFbioRxiv
January 2025
University of Georgia, Department of Infectious Diseases, Athens, GA, USA, 30602.
Rapid and accurate diagnostics are needed to effectively detect and treat primary amoebic meningoencephalitis (PAM) caused by (). Delayed diagnosis and similarities to other causes of meningitis contribute to a case mortality rate of >97%. Thus, there is an unmet medical need for a non-invasive liquid biopsy diagnostic method.
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