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Physiol Rep
December 2024
Department of Exercise Physiology, University of Guilan, Guilan, Iran.
To investigate the role of appetite-related factors, including interleukin 6 (IL-6), irisin, interleukin 7 (IL-7), neuropeptide Y (NPY), and leptin, on appetite perception in males with obesity. Eleven males (BMI 35.3 ± 4.
View Article and Find Full Text PDFArch Clin Neuropsychol
December 2024
Centro de Estudos Egas Moniz, Faculty of Medicine, University of Lisbon, Avenida Professor Egas Moniz, Lisbon 1649-028, Portugal.
Objective: This study aims to adapt and provide psychometric support for the validation of version B of the Edinburgh Cognitive and Behavioural ALS Screen (ECAS) for the Portuguese population, addressing the need for consistent cognitive evaluations in amyotrophic lateral sclerosis (ALS). A second culturally adapted ECAS screen facilitates the accurate characterization of ALS progression, mitigates learning effects, and supports tailored care management.
Methods: The adaptation process included forward-backward translation, cultural adaptation, and cognitive debriefing on a prospective sample of 193 ALS patients and 106 controls.
Pulm Ther
December 2024
Eli Lilly and Company, Indianapolis, IN, USA.
Introduction: This real-world study assessed the effectiveness of bebtelovimab (BEB) versus nirmatrelvir/ritonavir (NR) among outpatients with COVID-19 during the Omicron variant era.
Methods: We conducted a cohort study evaluating patients treated with BEB or NR from February to August 2022 (study period). Follow-up began the day after treatment and continued for 30 days.
EJNMMI Rep
December 2024
Radiation Sciences Department, Medical Research Institute, University of Alexandria, Alexandria, Egypt.
Objectives: The objective of this study was to evaluate the predictive value of F-fluorodeoxyglucose [F]FDG positron emission tomography (PET-CT) radiomic parameters in relation to KRAS/BRAF/EGFR mutations in patients with metastatic colorectal cancer (mCRC).
Methods: Blood samples were collected from 90 mCRC patients to assess KRAS G13V, BRAF V600E, and EGFR exon 20 mutations. [F]FDG PET-CT scans were performed, and radiomic parameters, including the SUV max, max TBR, total MTV, and total TLG, were calculated and correlated with different genotypes and haplotypes of the aforementioned mutations.
Introduction: Low back pain (LBP) is a significant global health burden, with variable treatment outcomes and an unclear underlying molecular mechanism. Effective prediction of treatment responses remains a challenge. In this study, we aimed to develop gene signature-based machine learning models using transcriptomic data from peripheral immune cells to predict treatment outcomes in patients with LBP.
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