Download full-text PDF

Source
http://dx.doi.org/10.1177/12034754251316304DOI Listing

Publication Analysis

Top Keywords

clinical features
4
features treatment
4
treatment outcomes
4
outcomes eruptive
4
eruptive xanthomatosis
4
xanthomatosis systematic
4
systematic review
4
clinical
1
treatment
1
outcomes
1

Similar Publications

Objectives: Our study aimed to identify potential predictors for additional systemic involvement in patients with noninfectious uveitis, specifically focusing on their demographic, etiological, clinical, and laboratory data features from the pediatric rheumatology perspective.

Methods: Patients with noninfectious uveitis before the age of 18 years and followed up for at least 3 months in 2 tertiary centers of pediatric rheumatology and ophthalmology departments were included in the study. Demographics, etiology, clinical features, laboratory data, and treatments administered were evaluated and compared based on the etiology (idiopathic and systemic disease-related uveitis [SD-U]) and the use of biologic disease-modifying antirheumatic drugs.

View Article and Find Full Text PDF

Psoriatic arthritis (PsA) is a chronic, inflammatory disease with heterogeneous clinical features. The pathogenesis of PsA involves a complex interplay of genetic, immunologic, and environmental factors, leading to the activation of the immune system and subsequent inflammation. Over the past decade, the understanding of the immune mechanisms underlying PsA has advanced significantly, particularly regarding the role of the interleukin-23/T helper 17 pathway in the disease process.

View Article and Find Full Text PDF

Motivation: Computational models are crucial for addressing critical questions about systems evolution and deciphering system connections. The pivotal feature of making this concept recognisable from the biological and clinical community is the possibility of quickly inspecting the whole system, bearing in mind the different granularity levels of its components. This holistic view of system behaviour expands the evolution study by identifying the heterogeneous behaviours applicable, for example, to the cancer evolution study.

View Article and Find Full Text PDF

Objective: This study aims to investigate and analyze the differentially expressed genes (DEGs) in CD34 + hematopoietic stem cells (HSCs) from patients with myelodysplastic syndromes (MDS) through bioinformatics analysis, with the ultimate goal of uncovering the potential molecular mechanisms underlying pathogenesis of MDS. The findings of this study are expected to provide novel insights into clinical treatment strategies for MDS.

Methods: Initially, we downloaded three datasets, GSE81173, GSE4619, and GSE58831, from the public Gene Expression Omnibus (GEO) database as our training sets, and selected the GSE19429 dataset as the validation set.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!