Results 261 to 270 of about 144,950 (353)
Alpha 1 Antitrypsin Suppresses Autoantibody Production and Cellular Autoimmunity in Chronic Graft-Versus-Host Disease (cGVHD) in a Lupus Mouse Model. [PDF]
Elshikha AS +6 more
europepmc +1 more source
The assay exploited a multiparametric and fully automated device applied to CHORUS EVO to validate that the CHORUS Macroarray Liver Diseases kit is a novel procedure for detecting autoantibodies of AIH and PBC. The assay resulted as linear, accurate, sensitive, specific, and able to distinguish between PBC and AIH.
Luigi Raganelli +14 more
wiley +1 more source
Proteome-scale autoantibody profiling in PSC: Associations with clinical phenotypes and evidence for neuroendocrine deregulations. [PDF]
Cornillet M +18 more
europepmc +1 more source
Characterization of Pulmonary Functional Abnormalities in Systemic Sclerosis Using Xenon MRI
ABSTRACT Background Xenon MRI is increasingly used to evaluate patients with interstitial lung disease (ILD) and pulmonary hypertension (PH), both of which are common manifestations of systemic sclerosis (SSc). As such, Xe‐MRI may be suited to interrogate lung function impairment in SSc.
Dawson Shaver +11 more
wiley +1 more source
Autoimmune Epilepsy Temporally Associated With Lyme Disease: A Report of Two Cases. [PDF]
Cipriano PM.
europepmc +1 more source
Abstract Objectives Our aim was to study the association between residential land cover and greenness during childhood and risk of developing celiac disease (CeD). Methods The Celiac Prediction in Skåne study prospectively followed 5969 human leukocyte antigen (HLA)‐genotyped children born 2001–2004 who were screened for CeD at ages 3, 9, and 15 years ...
Michaela Boström +6 more
wiley +1 more source
Accuracy of glutamic acid decarboxylase antibodies for the identification of adult-onset type 1 diabetes mellitus: a systematic review and meta-analysis. [PDF]
Shao MM +8 more
europepmc +1 more source
The needle study: Machine learning as a new method for case‐finding in celiac disease
Abstract Objectives Despite a well‐defined diagnostic work‐up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision‐making on clinical data.
Chiara Maria Trovato +9 more
wiley +1 more source

