Experiment 1 evaluated changes in leukocyte migration during acetazolamide (AZ) inhibition of carbonic anhydrase activity in leukocytes. AZ induced changes in the intracellular calcium concentration, and extracellular calcium is thought to be a factor inducing an increase in leukocyte migration. Next, Experiment 2 determined whether extracellular calcium concentration was a primary factor influencing leukocyte migration in the absence of AZ. The distance of leukocyte migration increased in a dose-dependent manner with AZ despite the presence of IL-8 or LPS in Experiment 1. The extracellular calcium concentration used in the present study had no influence on the distance in leukocyte migration in Experiment 2. The distance of leukocyte migration showed a tendency to increase in a dose-dependent manner with LPS concentration. In conclusion, AZ may stimulate leukocyte migration due to its participation in the regulation of intracellular pH controlled by CA activity without an effect of low extracellular calcium concentration. In addition, AZ was thus suggested to possibly have an anti-inflammatory effect in supporting leukocyte migration during inflammatory reactions.
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http://dx.doi.org/10.1016/j.burns.2008.08.010 | DOI Listing |
J Transl Med
January 2025
Department of Gynecology, The Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang, 050000, Hebei, China.
Background: Immune cells within tumor tissues play important roles in remodeling the tumor microenvironment, thus affecting tumor progression and the therapeutic response. The current study was designed to identify key markers of plasma cells and explore their role in high-grade serous ovarian cancer (HGSOC).
Methods: We utilized single-cell sequencing data from the Gene Expression Omnibus (GEO) database to identify key immune cell types within HGSOC tissues and to extract related markers via the Seurat package.
Front Immunol
January 2025
Dermatology Hospital, Southern Medical University, Guangzhou, China.
Background: Fibrotic skin disease represents a major global healthcare burden, characterized by fibroblast hyperproliferation and excessive accumulation of extracellular matrix components. The immune cells are postulated to exert a pivotal role in the development of fibrotic skin disease. Single-cell RNA sequencing has been used to explore the composition and functionality of immune cells present in fibrotic skin diseases.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Background: The tumor microenvironment (TME) is integral to tumor progression. However, its prognostic implications and underlying mechanisms in clear cell renal cell carcinoma (ccRCC) are not yet fully elucidated. This study aims to examine the prognostic significance of genes associated with immune-stromal scores and to explore their underlying mechanisms in ccRCC.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Chemistry, Ashoka University, Sonipat, Haryana, India.
Pancreatic Ductal Adenocarcinoma (PDAC) is a devastating disease with poor clinical outcomes, which is mainly because of delayed disease detection, resistance to chemotherapy, and lack of specific targeted therapies. The disease's development involves complex interactions among immunological, genetic, and environmental factors, yet its molecular mechanism remains elusive. A major challenge in understanding PDAC etiology lies in unraveling the genetic profiling that governs the PDAC network.
View Article and Find Full Text PDFJ Inflamm Res
January 2025
Department of Pharmacology, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Background: Chronic kidney disease (CKD) is a progressive condition that arises from diverse etiological factors, resulting in structural alterations and functional impairment of the kidneys. We aimed to establish the Anoikis-related gene signature in CKD by bioinformatics analysis.
Methods: We retrieved 3 datasets from the Gene Expression Omnibus (GEO) database to obtain differentially expressed genes (DEGs), followed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) of them, which were intersected with Anoikis-related genes (ARGs) to derive Anoikis-related differentially expressed genes (ARDEGs).
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