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S100 calcium-binding protein A8 exacerbates deep vein thrombosis in vascular endothelial cells.
Sci Rep
January 2025
Vascular Gland Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000, Hebei, China.
Previous studies highlighting the pivotal function of the S100A8 protein have shown that inflammation and vascular endothelial harm play a major role in deep vein thrombosis (DVT) development, as evidenced by earlier studies highlighting the pivotal function of the S100 calcium-binding protein A8 (S100A8). Therefore, we aimed to establish a connection between S100A8 and DVT and investigate the role of S100A8 in DVT development. Blood specimens were taken from 23 patients with DVT and 31 controls.
View Article and Find Full Text PDFRisk Factors for Anastomotic Leakage: A Comprehensive Single-Center Analysis of Colorectal Anastomoses for Ovarian and Gastrointestinal Cancers.
Ann Surg Oncol
January 2025
Department Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Background: Anastomotic leakage (AL) is a major complication in colorectal surgery, particularly following rectal cancer surgery, necessitating effective prevention strategies. The increasing frequency of colorectal resections and anastomoses during cytoreductive surgery (CRS) for peritoneal carcinomatosis further complicates this issue owing to the diverse patient populations with varied tumor distributions and surgical complexities. This study aims to assess and compare AL incidence and associated risk factors across conventional colorectal cancer surgery (CRC), gastrointestinal CRS (GI-CRS), and ovarian CRS (OC-CRS), with a secondary focus on evaluating the role of protective ostomies.
View Article and Find Full Text PDFCopy Number Variation in Asthma: An Integrative Review.
Clin Rev Allergy Immunol
January 2025
Postgraduate Program in Biochemistry, Federal University of Espírito Santo (UFES), Vitória, Espírito Santo, Brazil.
Asthma is a complex disease with varied clinical manifestations resulting from the interaction between environmental and genetic factors. While chronic airway inflammation and hyperresponsiveness are central features, the etiology of asthma is multifaceted, leading to a diversity of phenotypes and endotypes. Although most research into the genetics of asthma focused on the analysis of single nucleotide polymorphisms (SNPs), studies highlight the importance of structural variations, such as copy number variations (CNVs), in the inheritance of complex characteristics, but their role has not yet been fully elucidated in asthma.
View Article and Find Full Text PDFBerberine restrains non-small cell lung cancer cell growth, invasion and glycolysis via inactivating the SPC25/NUF2 pathway.
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Respiratory and Critical Care Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, No. 111, Dade Road, Guangzhou, 510120, China.
Berberine (BBR) has been proved to inhibit the malignant progression of non-small cell lung cancer (NSCLC), but the underlying molecular mechanism still needs to be further revealed. NSCLC cells (A549 and H1299) were treated with BBR. CCK8 assay, colony formation assay, flow cytometry, TUNEL staining and transwell assay were used to examine cell proliferation, apoptosis and invasion.
View Article and Find Full Text PDFA disintegrin and metallopeptidase domain (ADAM) 12, ADAM 17 mRNA and ADAM10 protein hold potential as biomarkers for detection of early gastric cancer.
Sci Rep
January 2025
Chaum Life Center, CHA University School of Medicine, Seoul, 06062, Korea.
No biomarker can effectively screen for early gastric cancer (EGC). Players in the A disintegrin and metalloproteinase (ADAM)-natural killer group 2 member D (NKG2D) receptor axis may have a role for that. As a proof-of-concept pilot study, the expression of ADAM8, ADAM9, ADAM10, ADAM12, ADAM17, and major histocompatibility complex (MHC) class I chain-related sequence A (MICA), a ligand for NKG2D, in gastric cancer was investigated in silico using The Cancer Genome Atlas (TCGA) database.
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