Principal component analysis of blood microRNA datasets facilitates diagnosis of diverse diseases

• Published in: PloS one Vol. 15; no. 6; p. e0234185
• Main Authors: Sell, Stacy L., Widen, Steven G., Prough, Donald S., Hellmich, Helen L.
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 05.06.2020; Public Library of Science (PLoS)
• Subjects: Aging; Alzheimer's disease; Amyotrophic lateral sclerosis; Anesthesiology; Angina pectoris; Autism; Biochemistry; Bioinformatics; Biological materials; Biology and life sciences; Biomarkers; Biotechnology; Blood; Blood tests; Cancer; Cardiovascular disease; Cardiovascular diseases; Clustering; Cognitive ability; Computational biology; Coronary artery disease; Coronary vessels; Data reduction; Datasets; Dexmedetomidine; Diabetes; Diabetes mellitus; Diabetes therapy; Diagnosis; Diseases; DNA microarrays; Eigenvalues; Gene expression; Habitus; Health aspects; Heart attacks; Heart diseases; Hemophilia; HIV; Human immunodeficiency virus; Hypertension; Literature reviews; Medical diagnosis; Medical treatment; Medicine and Health Sciences; Meningitis; Methods; MicroRNA; MicroRNAs; miRNA; Multiple sclerosis; Neurodegenerative diseases; Next-generation sequencing; Physical Sciences; Platelets; Polymerase chain reaction; Principal components analysis; Recognition; Research and Analysis Methods; Ribonucleic acid; RNA; Sepsis; Statistical methods; Stroke; Time; Traumatic brain injury; Variables; Visualization (Computer); United States; United States > US; Texas

Early, ideally pre-symptomatic, recognition of common diseases (e.g., heart disease, cancer, diabetes, Alzheimer's disease) facilitates early treatment or lifestyle modifications, such as diet and exercise. Sensitive, specific identification of diseases using blood samples would facilitate earl...