Background: The study aimed to estimate the prevalence of unrecognized cases with positive autoantibodies among type 2 diabetes (T2D) in a sample of the Bulgarian population and to compare some metabolic and inflammatory markers to those of patients having negative autoantibodies and subjects with latent autoimmune diabetes (LADA).
Methods: Patients with T2D, patients with LADA, and control participants were enrolled. Antiglutamic acid decarboxylase, anti-insulinoma-associated 2, and antizinc transporter 8 autoantibodies were assayed through ELISA. C-reactive protein and interleukin 6 (IL-6) and tumor necrosis factor alpha were assessed.
Results: Ten percent of patients with T2D had positive autoantibodies. They had lower body mass index ( = 0.014), worse glycemic control (HbA1c, = 0.033), and better HDL cholesterol ( = 0.026) than those in negative autoantibodies cases. Compared to LADA, glycemia and anthropometric data did not differ significantly but metabolic syndrome was more prevalent among newly found cases with positive autoantibodies ( = 0.046). Their level of inflammatory markers was similar to that of patients having negative autoantibodies ( > 0.05), but IL-6 was higher when compared to LADA ( = 0.002).
Conclusion: Prevalence of patients having positive autoantibodies within T2D in the analyzed sample of the Bulgarian population was 10%. They shared common metabolic features with subjects with LADA, but inflammatory phenotype was closer to that of T2D.
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http://dx.doi.org/10.1155/2017/9016148 | DOI Listing |
BMJ Open
January 2025
Institute of Diabetes Research, Helmholtz Munich German Research Center for Environmental Health, Munich, Germany
Introduction: The identification of type 1 diabetes at an early presymptomatic stage has clinical benefits. These include a reduced risk of diabetic ketoacidosis (DKA) at the clinical manifestation of the disease and a significant reduction in clinical symptoms. The European action for the Diagnosis of Early Non-clinical Type 1 diabetes For disease Interception (EDENT1FI) represents a pioneering effort to advance early detection of type 1 diabetes through public health screening.
View Article and Find Full Text PDFArch Immunol Ther Exp (Warsz)
January 2025
Department of Human Physiology, Medical University of Lublin, Lublin, Poland.
Systemic lupus erythematosus (SLE) is an autoimmune disease whose pathogenesis is not fully understood to date. One of the suggested mechanisms for its development is NETosis, which involves the release of a specific network consisting of chromatin, proteins, and enzymes from neutrophils, stimulating the immune system. One of its markers is citrullinated histone H3 (H3Cit).
View Article and Find Full Text PDFJ Endocr Soc
November 2024
Division of Endocrinology and Metabolism, Department of Internal Medicine, Soonchunhyang University Hospital, Soonchunhyang University College of Medicine, Seoul 04401, Korea.
Context: Subclinical hypothyroidism (SCH) is characterized by elevated thyroid-stimulating hormone (TSH) levels and normal free thyroxine (fT4) levels. In upper normal TSH levels, thyrotropin-releasing hormone (TRH) stimulation test proved to be useful in identifying an exaggerated TSH response.
Objective: We aimed to evaluate the incidence and predictive ability of basal TSH, anti-thyroid peroxidase antibodies (TPOAb), and anti-thyroglobulin antibodies (TgAb) for exaggerated TRH stimulation test in SCH.
BMC Pregnancy Childbirth
January 2025
Collection Biologique de L'Hôpital de La Mère Et de L'Enfant CB-HME (Mother and Child Biobank), University Hospital Center, 8 Avenue Dominique Larrey, Limoges, France.
Background: Maternal agonistic autoantibodies against the angiotensin II type 1 receptor (AT1-AAs) have been implicated in the pathophysiology of preeclampsia, but their presence in their offsprings and their possible neonatal effects have not been specifically explored. This prospective study aimed to evaluate the presence of AT1-AAs and their potential clinical effects in neonates of AT1-AAs positive mothers.
Methods: Women with preeclampsia and their neonates were included.
Arthritis Res Ther
January 2025
Scientific Research Project Department, Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Pazhou Lab, Guangzhou, China.
Background: Primary Sjogren's syndrome (pSS) and autoimmune thyroiditis (AIT) share overlapping genetic and immunological profiles. This retrospective study evaluates the efficacy of machine learning algorithms, with a focus on the Random Forest Classifier, to predict the presence of thyroid-specific autoantibodies (TPOAb and TgAb) in pSS patients.
Methods: A total of 96 patients with pSS were included in the retrospective study.
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