Genetic markers may be used to improve the prediction of insulin-dependent diabetes mellitus (type 1) in individuals with islet autoantibodies. In order to develop a risk assessment strategy for the Lombardy region of northern Italy based on genetic and immunological markers, we analyzed HLA DQA1 and DQB1 alleles in 60 type 1 probands and their first-degree relatives and 65 unrelated control subjects from the same area using polymerase chain reaction (PCR) and oligonucleotide probes. The major risk haplotypes were DQA1 *0501-DQB1*0201 (39.1% of diabetic vs. 8.9% of non-diabetic haplotypes) and DQA1 *0301-DQB1*0302(20% of diabetic vs 7.1% of non-diabetic haplotypes). Stratified analysis showed DQA1*0102-DQB1*0502 also to be associated with type 1 susceptibility when found together with DQA1*0501-DQB1*0201 or DQA1*0301-DQB1*0302. One type 1 patient had the type 1-protective DQA1*0102-DQB1*0602 haplotype. Overall, 88% of patients and 20% of unrelated control subjects had either DQA1*0501-DQB1*0201 or DQA1*0301-DQB1*0302 in the absence of DQA1*0102-DQB1*0602. These data suggest that typing for markers identifying these three haplotypes in the Lombardy population will achieve a sensitivity of almost 90% and exclude 80% of children from subsequent islet autoantibody testing.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/BF00838481 | DOI Listing |
J Neuroimaging
January 2025
Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Background And Purpose: MRI is crucial for multiple sclerosis (MS), but the relative value of portable ultra-low field MRI (pULF-MRI), a technology that holds promise for extending access to MRI, is unknown. We assessed white matter lesion (WML) detection on pULF-MRI compared to high-field MRI (HF-MRI), focusing on blinded assessments, assessor self-training, and multiplanar acquisitions.
Methods: Fifty-five adults with MS underwent pULF-MRI following their HF-MRI.
BMC Nutr
January 2025
Department of Environmental Health Engineering, Division of Food Safety and Hygiene, School of public health, Tehran University of Medical Sciences, Tehran, Iran.
Background: Bisphenol A (BPA) is one of the chemical compounds used in food packaging, so it can migrate from the packaging into food. Also, environmental pollution of this compound is high due to its high use. Therefore, it may enter food chains through the environment.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Orthopedics, the First Hospital of Jilin University, Changchun, Jilin Province, 130021, China.
Purpose: Identifying patients who may benefit from multiple drilling are crucial. Hence, the purpose of the study is to utilize radiomics and deep learning for predicting no-collapse survival in patients with femoral head osteonecrosis.
Methods: Patients who underwent multiple drilling were enrolled.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!