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Exploring the effect of hsa-miR-19b-3p on IL-1R1 expression and serum levels in alopecia areata.
Arch Dermatol Res
January 2025
Department of Dermatology, Venereology, and Sexology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Alopecia areata (AA) is an autoimmune condition marked by hair loss, linked to inflammatory processes involving the interleukin-1 receptor type 1 (IL-1R1) pathway. This study aims to explore the relationship between IL-1R1 gene expression, serum IL-1R1 levels, and hsa-miR-19b-3p in relation to AA severity. Using a case-control design, we assessed 100 AA patients and 100 healthy controls, measuring serum IL-1R1 through enzyme-linked immunosorbent assay (ELISA) and analyzing IL-1R1 gene and hsa-miR-19b-3p expression levels via quantitative real-time PCR (qRT-PCR).
View Article and Find Full Text PDFUltrafast Dissociation Dynamics of the Sensitive Explosive Ethylene Glycol Dinitrate.
J Phys Chem Lett
January 2025
Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Ethylene glycol dinitrate (EGDN) is a nitrate ester explosive widely used in military ordnance and missile systems. This study investigates the decomposition dynamics of the EGDN cation using a comprehensive approach that combines femtosecond time-resolved mass spectrometry (FTRMS) experiments with electronic structure and molecular dynamics computations. We identify three distinct dissociation time scales for the metastable EGDN cation of approximately 40-60 fs, 340-450 fs, and >2 ps.
View Article and Find Full Text PDFThe potential of MRI radiomics based on extrapulmonary metastases in predicting EGFR mutations: a systematic review and meta-analysis.
Biomed Eng Online
January 2025
Department of Medical Ultrasound, Maoming People's Hospital, Maoming, Guangdong, 525011, People's Republic of China.
Background: Epidermal growth factor receptor (EGFR) gene mutations can lead to distant metastasis in non-small cell lung cancer (NSCLC). When the primary NSCLC lesions are removed or cannot be sampled, the EGFR status of the metastatic lesions are the potential alternative method to reflect EGFR mutations in the primary NSCLC lesions. This review aimed to evaluate the potential of magnetic resonance imaging (MRI) radiomics based on extrapulmonary metastases in predicting EGFR mutations through a systematic reviews and meta-analysis.
View Article and Find Full Text PDFDevelopment of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.
BMC Med Imaging
January 2025
Department of Thoracic Surgery, The Fifth Clinical Medical College of Henan, University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, 450003, China.
Objective: In clinical practice, diagnosing the benignity and malignancy of solid-component-predominant pulmonary nodules is challenging, especially when 3D consolidation-to-tumor ratio (CTR) ≥ 50%, as malignant ones are more invasive. This study aims to develop and validate an AI-driven radiomics prediction model for such nodules to enhance diagnostic accuracy.
Methods: Data of 2,591 pulmonary nodules from five medical centers (Zhengzhou People's Hospital, etc.
Background: As a member of the tumor necrosis factor (TNF) superfamily, tumor necrosis factor superfamily member 4 (TNFSF4) is expressed on antigen-presenting cells and activated T cells by binding to its receptor TNFRSF4. However, tumorigenicity of TNFSF4 has not been studied in pan-cancer. Therefore, comprehensive bioinformatics analysis of pan-cancer was performed to determine the mechanisms through which TNFSF4 regulates tumorigenesis.
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