Medicine
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Osteoarthritis (OA) is a non-inflammatory degenerative joint disease that mainly involves articular cartilage damage and involves the whole joint tissue. Gastritis is a common stomach disorder, typically referring to inflammation or lesions of the gastric mucosa. However, the relationship between CD14 and colony stimulating factor-1 receptor (CSF1R) and these 2 diseases is not yet clear. ⋯ The core genes (CD14 and CSF1R) exhibited high expression in OA and gastritis samples and low expression in normal samples. Comparative toxicogenomics database analysis revealed associations between core genes (CD14 and CSF1R) and diseases such as OA, osteoporosis, gastritis, juvenile arthritis, diarrhea, and inflammation. CD14 and CSF1R are highly expressed in OA and gastritis, making them potential therapeutic targets for both diseases.
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The association of key genes in the transforming growth factor-β (TGF-β) signaling pathway and their gene polymorphisms with unexplained recurrent spontaneous abortion (URSA) is unclear. ⋯ IL-6 gene -174G/C locus (rs1800795) genotype CC and allele C may be the causative factor of URSA, TGF-β1 gene -509T/C locus (rs1800469) genotype TT and allele T may be the causative factor of URSA, and polymorphisms of the 2 loci may be associated with URSA.
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In order to develop uniform diagnostic standards and reporting terminology, the International Academy of Cytology and the American Society of Cytopathology have recommended the establishment of the International System for Reporting Serous Fluid Cytopathology (ISRSFC). ISRSFC has 5 diagnostic categories: non-diagnostic (ND), negative for malignancy (NFM), atypia of unknown significance (AUS), suspicious for malignancy (SFM), and malignant (MAL). So far, very few studies have evaluated the risk of malignancy (ROM) and performance characteristics (sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy) of different categories. ⋯ After reclassification, 9 (0.4%) cases were classified as ND, 547 (26%) as NFM, 94 (4.5%) as AUS, 386 (18.4%) as SFM, and 1067 (50.7%) as MAL. The ROMs for ND, NFM, AUS, SFM and MAL were calculated to be 50%, 24.9%, 36.8%, 89.0%, and 100%, respectively. As an easy-to-grasp reporting system, ISRSFC provides a consistent standard for better communication between physicians and pathologists.
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Machine learning (ML) and artificial intelligence (AI) techniques are gaining popularity as effective tools for coronavirus disease of 2019 (COVID-19) research. These strategies can be used in diagnosis, prognosis, therapy, and public health management. Bibliometric analysis quantifies the quality and impact of scholarly publications. ML in COVID-19 research is the focus of this bibliometric analysis. ⋯ This study provides useful insights for academics and clinicians studying COVID-19 using ML. Through bibliometric data analysis, scholars can learn about highly recognized and productive authors and countries, as well as the publications with the most citations and keywords. New data and methodologies from the pandemic are expected to advance ML and AI modeling. It is crucial to recognize that these studies will pioneer this subject.
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Case Reports
Fecal calprotectin measurement to detect recurrence of solitary juvenile polyps: A case report.
Juvenile polyps (JPs) are the most common polyp type and can be observed in 1% of all preschoolers. The peak incidence is observed at ages 3 to 5 years, constituting 90% of all polyps in children. Elevated levels of fecal calprotectin (FC) are often seen in children with JPs. ⋯ Single or multiple solitary JPs require follow-up that fully considers the possibility of recurrence. Establishing a method for early confirmation of JP recurrence based on bloody stools, fecal occult blood testing, and FC measurement is necessary.