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Treatment of rheumatoid arthritis-associated interstitial lung disease: An appraisal of the 2023 ACR/CHEST guideline.
Curr Treatm Opt Rheumatol
December 2024
Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, MA USA.
Purpose Of Review: To summarize the current treatment landscape of rheumatoid arthritis-associated interstitial lung disease (RA-ILD) in the context of the recent 2023 American College of Rheumatology/American College of Chest Physicians guideline for ILD treatment in systemic autoimmune rheumatic diseases.
Recent Findings: The guideline conditionally recommends mycophenolate, azathioprine, and rituximab for first-line RA-ILD therapy, with cyclophosphamide and short-term glucocorticoids as additional options. For RA-ILD progression after first line, mycophenolate, rituximab, nintedanib, tocilizumab, cyclophosphamide, and pirfenidone are conditionally recommended, while long-term glucocorticoids are conditionally recommended against.
Crystal structure of the anti-CRISPR protein AcrIE7.
Biochem Biophys Res Commun
January 2025
Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China. Electronic address:
Bacterial adaptive immunity, driven by CRISPR-Cas systems, protects against foreign nucleic acids from mobile genetic elements (MGEs), like bacteriophages. The type I-E CRISPR-Cas system employs the Cascade (CRISPR-associated complex for antiviral defense) complex for target DNA cleavage, guided by crRNA. Anti-CRISPR (Acr) proteins, such as AcrIE7, counteract this defense by inhibiting Cascade activity.
View Article and Find Full Text PDFCan ACR TI-RADS predict the malignant risk of medullary thyroid cancer?
J Clin Transl Endocrinol
March 2025
Department of Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.
Objectives: This study aimed to evaluate the diagnostic performance for medullary thyroid cancer (MTC) based on the 2017 Thyroid Imaging Reporting and Data System by the American College of Radiology (ACR TI-RADS) guideline, and the ability to recommend fine needle aspiration (FNA) for MTC.
Methods: Fifty-six MTCs were included, and 168 benign thyroid nodules (BTNs) and 168 papillary thyroid nodules (PTCs) were matched according to age. Ultrasound (US) features were reviewed according to ACR TI-RADS.
Can mindfulness have long-term impact on patients with fibromyalgia? A two-year prospective follow-up study of a mindfulness-based intervention.
Rheumatol Int
January 2025
Clinic for Rheumatology, Outpatient Clinic and Research, REMEDY Center for Treatment of Rheumatic and Musculoskeletal Diseases, Diakonhjemmet Hospital, Oslo, Norway.
To examine changes in symptoms and health status in patients with fibromyalgia (FM) 24 months after participating in the mindfulness-based group-program, the Vitality Training (VTP), followed by physical exercise counselling. Seventy-six participants, mean age (range) 43 (26-52), females 69 (91%), diagnosed with FM according to the ACR 2011-criteria received the VTP in a previous randomised controlled trial. Control group participants could receive the VTP after a 12-month observation period, therefore only data from the intervention group were analysed in the present study.
View Article and Find Full Text PDFMulti-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound.
Int J Comput Assist Radiol Surg
January 2025
Department of Radiology, University of Chicago, Chicago, IL, USA.
Purpose: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS classification is a key step in predicting nodule pathology. Determining thyroid nodule contours is necessary for the calculation of TIRADS scores and can also be used in the development of machine learning nodule diagnosis systems. This paper presents the development, validation, and multi-institutional independent testing of a machine learning system for the automatic segmentation of thyroid nodules on ultrasound.
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