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Influence of rs2280883 and rs3761548 Variants on IL-10 and TGF-β1 Serum Levels and Plaque Psoriasis Risk in the Mexican Population.
Int J Mol Sci
February 2025
Centro de Investigación en Inmunología y Dermatología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico.
Plaque psoriasis (PP) is a chronic immune-mediated skin disorder with a genetic basis, characterized by abnormal T-cell responses. This study investigated the role of gene variants rs2280883 and rs3761548 in T-cell regulation through their effects on IL-10 and TGF-β1 cytokine levels and their association with PP risk. A case-control study was conducted, including 101 individuals with PP and 106 healthy controls from the Mexican population.
View Article and Find Full Text PDFReview Article: Diagnostic Paradigm Shift in Spine Surgery.
Diagnostics (Basel)
February 2025
Department of Orthopedic Surgery, Okayama University Hospital, Okayama 7000-8558, Japan.
Meticulous clinical examination is essential for spinal disorders to utilize the diagnostic methods and technologies that strongly support physicians and enhance clinical practice. A significant change in the approach to diagnosing spinal disorders has occurred in the last three decades, which has enhanced a more nuanced understanding of spine pathology. Traditional radiographic methods such as conventional and functional X-rays and CT scans are still the first line in the diagnosis of spinal disorders due to their low cost and accessibility.
View Article and Find Full Text PDFAdministration of Porphyromonas gingivalis in pregnant mice enhances glycolysis and histone lactylation/ADAM17 leading to cleft palate in offspring.
Int J Oral Sci
March 2025
Laboratory of Orofacial Development, Laboratory of Molecular Signaling and Stem Cells Therapy, Molecular Laboratory for Gene Therapy and Tooth Regeneration, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Capital Medical University School of Stomatology, Beijing, China.
Periodontal disease is a risk factor for many systemic diseases such as Alzheimer's disease and adverse pregnancy outcomes. Cleft palate (CP), the most common congenital craniofacial defect, has a multifaceted etiology influenced by complex genetic and environmental risk factors such as maternal bacterial or virus infection. A prior case-control study revealed a surprisingly strong association between maternal periodontal disease and CP in offspring.
View Article and Find Full Text PDFBio-Inspired Ionic Sensors: Transforming Natural Mechanisms into Sensory Technologies.
Nanomicro Lett
March 2025
Department of Mechanical Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi-do, 17104, Republic of Korea.
Many natural organisms have evolved unique sensory systems over millions of years that have allowed them to detect various changes in their surrounding environments. Sensory systems feature numerous receptors-such as photoreceptors, mechanoreceptors, and chemoreceptors-that detect various types of external stimuli, including light, pressure, vibration, sound, and chemical substances. These stimuli are converted into electrochemical signals, which are transmitted to the brain to produce the sensations of sight, touch, hearing, taste, and smell.
View Article and Find Full Text PDFPurpose: To report a deep learning neural network on anterior segment optical coherence tomography (AS-OCT) for automated detection of different keratorefractive laser surgeries-including laser in situ keratomileusis with femtosecond microkeratome (femto-LASIK), LASIK with mechanical microkeratome, photorefractive keratectomy (PRK), keratorefractive lenticule extraction (KLEx), and non-operated eyes-while also distinguishing between myopic and hyperopic treatments within these procedures.
Methods: A total of 14,948 eye scans from 2,278 eyes of 1,166 patients were used to develop a deep learning neural network algorithm with an 80/10/10 patient distribution for training, validation, and testing phases, respectively. The algorithm was evaluated for its accuracy, F1 scores, area under precision-recall curve (AUPRC), and area under receiver operating characteristic curve (AUROC).
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