An autoantigen piezoelectric sensor to quantify specific circulating autoantibodies in human serum is developed. The sensor consisted on a quartz crystal microbalance with dissipation monitoring (QCM-D) where TRIM21 and TROVE2 autoantigens were covalently immobilized, allowing the selective determination of autoantibodies for diagnosis and prognosis of Systemic Lupus Erythematosus (SLE). The sensitivity of the biosensor, measured as IC value, was 1.51U/mL and 0.32U/mL, for anti-TRIM21 and anti-TROVE2 circulating autoantibodies, respectively. The sensor is also able to establish a structural interaction fingerprint pattern or profile of circulating autoantibodies, what allows scoring accurately SLE patients. Furthermore, a statistical association of global disease activity with TRIM21-TROVE2 interaction was found (n=130 lupic patient samples, p-value=0.0413). The performances of the biosensor were compared with standard ELISA and multiplex DVD-array high-throughput screening assays, corroborating the viability of piezoelectric biosensor as a cost-effective in vitro assay for the early detection, monitoring or treatment of rare diseases.
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http://dx.doi.org/10.1016/j.bios.2016.11.004 | DOI Listing |
Front Immunol
January 2025
Division of Allergy, Immunology and Rheumatology, University of Rochester Medical Center, Rochester, NY, United States.
While durable antibody responses from long-lived plasma cell (LLPC) populations are important for protection against pathogens, LLPC may be harmful if they produce antibodies against self-proteins or self-nuclear antigens as occurs in autoimmune diseases such as systemic lupus erythematosus (SLE). Thus, the elimination of autoreactive LLPC may improve the treatment of antibody-driven autoimmune diseases. However, LLPC remain a challenging therapeutic target.
View Article and Find Full Text PDFInflamm Bowel Dis
January 2025
Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Background: We previously identified circulating and MRI biomarkers associated with the surgical management of Crohn's disease (CD). Here we tested associations between these biomarkers and ileal resection inflammation and collagen content.
Methods: Fifty CD patients undergoing ileal resection were prospectively enrolled at 4 centers.
ACR Open Rheumatol
January 2025
ISAR Bioscience GmbH, Planegg, Germany.
Objective: Rheumatoid arthritis (RA) is characterized by circulating anti-cyclic citrullinated peptide (CCP) autoantibodies (ACPAs), resulting in inflammation of the joints and other organs. We have established novel assays to assess immune cell subpopulations, including citrullinated antigen-specific (CAS) autoreactive B and T lymphocytes, in patients with RA.
Methods And Results: We found that activated CD25 T cells were markedly increased in patients with RA compared to healthy controls.
Cureus
December 2024
Graduate Medical Education, Eisenhower Health, Rancho Mirage, USA.
Autoimmune enteropathy (AIE) is a rare cause of chronic diarrhea associated with autoantibodies and susceptibility to other autoimmune diseases, such as rheumatoid arthritis, diabetes, autoimmune hemolytic anemia, and atopic dermatitis. While it is more common in children, the prevalence of AIE in adults is increasing. Due to the nonspecific nature of its presenting symptoms and the lack of consistent findings, AIE can be challenging to diagnose.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Rheumatology and Immunology, the Second Xiangya Hospital of Central South University, Changsha, China.
Background: Anti-citrullinated peptide antibodies (ACPA)-negative (ACPA-) rheumatoid arthritis (RA) presents significant diagnostic and therapeutic challenges due to the absence of specific biomarkers, underscoring the need to elucidate its distinctive cellular and metabolic profiles for more targeted interventions.
Methods: Single-cell RNA sequencing data from peripheral blood mononuclear cells (PBMCs) and synovial tissues of patients with ACPA- and ACPA+ RA, as well as healthy controls, were analyzed. Immune cell populations were classified based on clustering and marker gene expression, with pseudotime trajectory analysis, weighted gene co-expression network analysis (WGCNA), and transcription factor network inference providing further insights.
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