Antiendothelial cell antibodies (AECAs) have been detected in patients who have autoimmune and inflammatory diseases. Previous studies showed that AECAs against human umbilical vein endothelial cells were detected in healthy subjects. In the present study, we evaluated AECAs against human brain microvascular endothelial cells (HBMEC) in serum. We detected 250 antigen spots that reacted with AECAs in serum samples from 30 healthy subjects by 2-dimensional immunoblot using primary cultured HBMEC as the antigen source. There were 10 spots that corresponded to common target antigen spots and reacted with AECAs in serum samples from > 25% of the 30 healthy subjects. We identified 7 proteins that corresponded to 8 of the 10 spots by mass spectrometry: 78-kDa glucose-regulated protein, dihydropyrimidinase-related protein 2, heterogeneous nuclear ribonucleoprotein L, vimentin, perilipin 3, alpha-enolase, and annexin A2. The results suggest that these 7 HBMEC proteins are major target antigens of natural AECAs.
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http://dx.doi.org/10.2174/1567202612666150107161847 | DOI Listing |
PLoS One
December 2024
Research Institute on Health Sciences (IUNICS-IdISBa), University of the Balearic Islands, Palma de Mallorca, Spain.
Background: Pain in people with cerebral palsy (CP) has been classically underestimated and poorly treated, particularly in individuals with impaired communication skills.
Objective: To analyze changes in different salivary metabolites and pain behavior scales after a painful procedure in adults with CP and adults with typical development.
Methods: Salivary levels of sTNF-α, sIgA, Cortisol, FRAP, ADA and Alpha Amylase, as well as 3 observational pain scales (Wong-Baker, Non-Communicating Adults Pain Checklist and Facial Action Coding System) were assessed before and after an intramuscular injection in 30 Individuals with CP and 30 healthy controls.
Genet Test Mol Biomarkers
December 2024
SRM Dental College, Bharathi Salai, Chennai, India.
Periodontal disease worsens glycemic control due to the bidirectional link between periodontitis and type 2 diabetes mellitus (T2DM), involving inflammatory markers such as soluble tumor necrosis factor-like weak inducer of apoptosis (sTWEAK), tumor necrosis factor-α (TNF-α), and omentin-1. However, their combined role in T2DM with periodontitis has not been studied. This study aimed to evaluate the levels of these biomarkers in periodontitis patients with T2DM before and after nonsurgical periodontal therapy (NSPT).
View Article and Find Full Text PDFParasitol Res
December 2024
Department of Clinical Laboratory Sciences, School of Health Professions, Medical Branch, University of Texas, 301 University Blvd, Galveston, TX, 77555-0128, USA.
Naegleria fowleri is a free-living amoeba and the causative agent of Primary Amebic Meningoencephalitis (PAM), a rare yet almost always fatal disease that primarily affects children. While only 431 PAM cases have been reported worldwide, the southern states of the United States, including Texas, report the highest number of cases. Despite the high mortality of the disease, studies have identified antibodies to N.
View Article and Find Full Text PDFMAGMA
December 2024
Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Objectives: Phosphorus-31 magnetic resonance spectroscopic imaging (P-MRSI) is a non-invasive tool for assessing cellular high-energy metabolism in-vivo. However, its acquisition suffers from a low sensitivity, which necessitates large voxel sizes or multiple averages to achieve an acceptable signal-to-noise ratio (SNR), resulting in long scan times.
Materials And Methods: To overcome these limitations, we propose an acquisition and reconstruction scheme for FID-MRSI sequences.
NeuroSci
November 2024
National Institute of Neurological Disorders and Strokes, National Institutes of Health, Bethesda, MD 20892, USA.
Classification of disease and healthy volunteer cohorts provides a useful clinical alternative to traditional group statistics due to individualized, personalized predictions. Classifiers for neurodegenerative disease can be trained on structural MRI morphometry, but require large multi-scanner datasets, introducing confounding batch effects. We test ComBat, a common harmonization model, in an example application to classify subjects with Parkinson's disease from healthy volunteers and identify common pitfalls, including data leakage.
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