Objective: Studies aiming to define key cytokines in inflammatory bowel disease have been restricted to gene expression or protein quantitation but lack functional information on cytokine interactions. Some of the major cytokines that govern the extent and duration of the inflammatory process in ulcerative colitis (UC), appear to be interleukin 1 (IL-1), its natural inhibitor IL-1 receptor antagonist (IL-1ra) and transforming growth factor beta1 (TGF-beta 1). Indeed, as a predictor of inflammation, the mucosal status of IL-1, depicted as a ratio of IL-1ra/IL-1, has often been used.
Methods: Using an IL-1 bioassay and specific anti-cytokine antibodies we have identified the functional role of these cytokines and their interactions in mucosal biopsy samples taken from patients with UC.
Results: Compared with control specimens, the secreted and tissue levels of IL-1 were consistently raised in UC samples. Levels of IL-1, rather than IL-1ra or the ratio of IL-1ra/IL-1, most closely mirrored the severity of inflammation. Using specific antibodies we showed that IL-1ra and TGF-beta 1 appear to modulate the degree of inflammation at different stages of the inflammatory process. Only in severely inflamed tissue, when IL-1 levels were high did IL-1ra inhibit IL-1-induced activity. In contrast, the levels of TGF-beta 1, and its effect in controlling inflammation, was most marked in mild but not severe UC.
Conclusions: The functional roles of these cytokines in the inflammatory process can now be more carefully elucidated using a bioassay and specific neutralising antibodies.
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http://dx.doi.org/10.1007/s00011-003-1219-z | DOI Listing |
Gastro Hep Adv
October 2024
Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, California.
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SERGAS (Servizo Galego de Saude) and IDIS (Instituto de Investigación Sanitaria de Santiago), The NEIRID Group (Neuroendocrine Interactions in Rheumatology and Inflammatory Diseases) Santiago University Clinical Hospital Santiago de Compostela Spain.
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January 2025
Language Intelligence and Information Retrieval (LIIR) Lab, Department of Computer Science, KU Leuven, Leuven, Belgium.
The digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data. Extracting valuable information from unstructured clinical text presents a significant challenge, necessitating automated tools for efficient data mining. Natural language processing (NLP) methods have been pivotal in this endeavor, aiming to extract crucial clinical concepts embedded within free-form text.
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Department of Comparative Biochemistry and Bioanalytics, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Kraków, Poland.
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View Article and Find Full Text PDFIran J Basic Med Sci
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Faculty of Medicine, Universitas Jenderal Achmad Yani, Jalan Terusan Jenderal Sudirman, Cimahi 40531 PO Box 148, Indonesia.
Objectives: Soybeans have various positive effects on health, including anti-inflammatory and preventing kidney damage. There is concern regarding the phytoestrogen content due to the high isoflavone content in soybeans. Various forms of soybean processing have been tried; in this study, the hydrolysis method will be used to obtain the active substance Arginine-Glycine-Aspartate (RGD) tripeptide in soybean protein hydrolyzed by bromelain (SPHB).
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