AIMC Topic: Biomarkers

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Immunophenotyping identifies key immune biomarkers for coronary artery disease through machine learning.

PloS one
INTRODUCTION: The differences among immune subtypes in coronary artery disease (CAD), their interrelationships, and the associated immune biomarkers remain incompletely understood.

Biomarker development in Sturge-Weber syndrome.

Journal of neurodevelopmental disorders
Sturge-Weber Syndrome (SWS) is a congenital neurovascular disorder caused by a somatic mosaic mutation in the R183Q GNAQ gene and characterized by capillary-venous malformations of the brain, skin, and eyes. Clinical manifestations include facial por...

Machine-learning approach to atrial fibrillation prediction among individuals without prior cardiovascular diseases.

Open heart
BACKGROUND: There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior cardiovascular diseases (CVDs) to facilitate early intervention. This study aimed to develop and validate an AF prediction model using ma...

Integrated multi-omics analysis identifies lipid metabolism biomarkers in ONFH and reveals therapeutic potential of retinoic acid.

Scientific reports
Osteonecrosis of the femoral head (ONFH) is a debilitating condition frequently associated with dysregulation in lipid metabolism. The objective of this study was to identify potential biomarkers for ONFH through various analytical methods and experi...

Machine learning-assisted MALDI-MSI to characterize hippocampal subregion lipid and purine metabolic alterations in depression-related dry eye disease.

Analytical methods : advancing methods and applications
Dry eye disease (DED) and depression exhibit high comorbidity, yet lipid and purine diagnostic biomarkers for depression-related DED remain unidentified. In this study, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI)...

Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study.

PLoS medicine
BACKGROUND: Knee osteoarthritis (KOA) worsens both structurally and symptomatically, yet no model predicts KOA progression using Magnetic Resonance Image (MRI) radiomics and biomarkers. This study aimed to develop and test the longitudinal Load-Beari...

In search of biomarkers for prediction of drug treatment responses in rheumatoid arthritis: Lessons learned and future perspectives.

Autoimmunity reviews
Prompt initiation of effective drug treatment is crucial for controlling inflammation and preventing disease progression in rheumatoid arthritis, the most prevalent systemic rheumatic disease. The growing range of drug therapies over the past three d...

Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis.

Arthritis research & therapy
BACKGROUND: Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is an autoimmune disorder characterized by multi-organ involvement. Early identification and accurate diagnosis of AAV is crucial for improving prognosis. However, res...

Determination of miRNA in tear extracellular vesicles significantly associated with treatment-requiring retinopathy of prematurity: a pilot study.

Scientific reports
Retinopathy of prematurity (ROP) develops in some premature infants and may be characterized by permanent severe retinal damage necessitating early detection and prompt treatment. The purpose of this study was to investigate whether specific miRNAs i...

Unsupervised clustering of biochemical markers reveals health profiles associated with function and survival in active aging.

Scientific reports
This study explores the relationships between biochemical phenotypes identified using machine learning, and key health outcomes, including body composition, physical function, and mortality risk. Data were collected from 536 physically active Spanish...