AIMC Topic: Exosomes

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Deep Learning-Assisted G4 Nanowire-Enhanced Carbon Dot Biosensor for Exosomal LncRNA Artificial Intelligence Diagnosis.

Analytical chemistry
Exosomal long noncoding RNAs (lncRNA) have significant potential as a biomarker for early cancer diagnosis. Accurate and sensitive detection of this abnormal expression remains challenging. Herein, we develop an innovative dual-mode photoelectrochemi...

A Framework for Identifying Serum Exosomal Lipid Biomarkers in Alzheimer's Disease.

ACS chemical neuroscience
The escalating global burden of Alzheimer's disease (AD), projected to reach $16.9 trillion by 2050 with disproportionate impacts on low- and middle-income countries and racial minorities, underscores an urgent need for accessible early detection too...

Advancements in the study of exosomes in disease diagnosis and treatment.

International journal of pharmaceutics
Exosomes are small, membrane-enclosed vesicles that can originate from a variety of sources and contain a wealth of material. They are involved in physiological processes such as cell-cell communication, cell migration, and anti-tumor immunity, and a...

Targeting Ischemic Stroke with Neural Stem Cells: Insights into Endogenous Repair Mechanisms, Biomaterial-Based Delivery, and Exosome Therapies.

Molecular neurobiology
Neurological diseases, such as stroke, are typically deemed refractory because of the adult mammalian brain's poor ability to self-repair and regenerate, resulting in irreparable cellular damage. Neural stem cells (NSCs) have distinct capabilities to...

Machine learning identifies exosome related gene signatures for early prediction of non-small cell lung cancer.

Scientific reports
Non-small cell lung cancer (NSCLC) remains a major health challenge worldwide, mainly due to the lack of effective early diagnostic biomarkers. Exosome-related genes have recently emerged as potential diagnostic markers due to their roles in tumor pr...

SERS mapping combined with explainable deep learning for exosome analysis to enhance lung cancer detection.

The Analyst
Exosomes are critical biomarkers for early cancer diagnosis and prognosis due to their rich biological information. Nevertheless, analyzing exosomal biomarkers comprehensively remains challenging. Surface-enhanced Raman scattering (SERS) has been emp...

Exosomal biomarkers in cancer: Insights from Multi-OMIC approaches.

Clinica chimica acta; international journal of clinical chemistry
Extracellular vesicles, particularly exosomes, are emerging as powerful tools in cancer research due to their role in intercellular communication and their capacity to reflect the molecular composition of their originating cells. Multi-omic approache...

Glycoproteomics Analysis to Identify Potential Biomarkers and Investigate CD14 Monocyte Activation Mechanisms via Exosomal Proteins in Cerebral Infarction Using a Novel Glycogen-Functionalized Nanoprobe.

Analytical chemistry
Cerebral infarction (CI) is a leading cause of disability and mortality, with activated plasma monocytes and altered protein glycosylation identified as critical contributors to its pathology. However, the mechanisms linking peripheral monocyte activ...

Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis.

Scientific reports
Exosomes are crucial in the development of non-small cell lung cancer (NSCLC), yet exosome-associated genes in NSCLC remain insufficiently explored. The present study identified 59 exosome-associated differentially expressed genes (EA-DEGs) from the ...

Identification and evaluation of biomarkers for diagnosis of chronic hepatitis B using RNA-seq.

Virus research
BACKGROUND & AIM: Chronic hepatitis B (CHB) is a global public health problem affecting hundreds of millions of people and is associated with significant morbidity and mortality of liver cancer. Exosomes originate from cells and their detection in bi...