AIMC Topic: Inflammation

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Deep learning algorithm for semiquantification of spinal inflammation in axial spondyloarthritis.

RMD open
OBJECTIVE: To develop a deep learning algorithm for semiquantification of spinal inflammation in patients with axial spondyloarthritis (SpA). METHODS: The study included 330 participants with axial SpA. All patients underwent whole spine MRI with sho...

Lymphocytes and related inflammatory factors as predictors of metabolic syndrome risk in shift workers: A machine learning approach based on large-scale population data.

PloS one
BACKGROUND: Metabolic syndrome (MetS) is characterized by chronic inflammation and can be worsened by circadian disruption, which is common among shift work. Machine learning can predict the risk of MetS in shift workers using inflammatory biomarkers...

Cross-talk between diabetic nephropathy and bone loss: PBMCs-guided discovery of NLRP3-inflammatory signalling.

Artificial cells, nanomedicine, and biotechnology
Diabetic nephropathy (DN), a major driver of end-stage kidney disease, elevates the risk for osteoporosis (OP) and its clinical precursor, low bone mineral density (low BMD), indicating broader systemic effects. While peripheral blood mononuclear cel...

Exploring the mechanism of autophagy and inflammation in osteoarthritis through bioinformatics and experimental verification.

Autoimmunity
Osteoarthritis (OA) is a chronic joint disorder characterized by cartilage degradation and accompanied by inflammatory processes. Inflammation and autophagy dysfunction have been associated with the pathogenesis of OA. However, the interplay between ...

Breakthroughs of ultrasound-targeted microbubble destruction in treating myocardial ischemia-reperfusion injury: from angiogenesis regulation to precise inflammation suppression.

Drug delivery
Myocardial ischemia-reperfusion injury (MIRI), a frequent complication in acute myocardial infarction (AMI) treatment, arises from complex mechanisms including oxidative stress, inflammation, and mitochondrial dysfunction, which impair myocardial rep...

Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk.

Scientific reports
This study explores the relationship between inflammatory biomarkers and the risk of endometriosis, aiming to develop a predictive model using National Health and Nutrition Examination Survey (1999-2006) data. The dataset included 4,089 females with ...

Machine learning identifies inflammation-related diagnostic biomarkers for primary myelofibrosis with clinical validation.

Scientific reports
Primary myelofibrosis (PMF) is a heterogeneous bone marrow disorder, and substantial evidence indicates the involvement of inflammatory mediators in its progression. However, a diagnostic model based on inflammation-related genes has not yet been est...

Prognostic value of combining nutritional inflammatory index trajectories and tumor characteristics in cervical cancer.

BMC women's health
OBJECTIVE: This investigation seeks to examine how varying longitudinal patterns in nutritional inflammatory index (NII) correlate with clinical outcomes in cervical cancer patients, while developing predictive models for prognosis.

Predictive value of systemic inflammation response index for atherosclerotic cardiovascular disease risk in patients with hypercholesterolemia: a machine learning study with dual-cohort validation.

Lipids in health and disease
BACKGROUND: Residual cardiovascular risk persists in patients with hypercholesterolemia despite lipid-lowering therapy, underscoring the importance of inflammation in ASCVD development. This study evaluated the relationship between Systemic Inflammat...