JAK-STAT signaling occurs in virtually every tissue of the body, and so does glucose metabolism. In this review, we summarize the regulation of glucose metabolism in the myocardium and ponder whether JAK-STAT signaling participates in this regulation. Despite a paucity of data directly pertaining to cardiac myocytes, we conclude that JAK-STAT signaling may contribute to the development of insulin resistance in the myocardium in response to various hormones and cytokines.
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http://dx.doi.org/10.4161/jkst.26458 | DOI Listing |
Cytokine
January 2025
Department of Basic Sciences, Institute of Fisheries Post Graduate Studies, Tamil Nadu Dr. J. Jayalalithaa Fisheries University (TNJFU), OMR Campus, Vaniyanchavadi, Chennai 603103, Tamil Nadu, India. Electronic address:
Macrophages are highly variable immune cells that are important in controlling inflammation and maintaining tissue balance. The ability to polarize into two major types-M1, promoting inflammation, and M2, resolving inflammation and contributing to tissue repair-determines their specific roles in health and disease. M2 macrophages are particularly important for reducing inflammation and promoting tissue regeneration, but their function is shaped mainly by surrounding cells.
View Article and Find Full Text PDFInt Immunopharmacol
January 2025
AT-31 BIO Inc., 403 Business Incubation Center, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea; Laboratory of Immunobiology, School of Life Science and Biotechnology, College of Natural Sciences, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea. Electronic address:
Recombinant GH16B β-agarase-catalyzed liquefaction of 5-7 %(w/v) melted agarose at 50 °C completely hydrolyzed agarose into neoagarohexaose (NA6) and neoagarotetraose (NA4). Subsequent saccharification by recombinant GH50A β-agarase or recombinant GH50A β-agarase/recombinant GH117A α-neoagarobiose hydrolase at 35 °C converted NA6/NA4 into neoagarobiose (NA2) or 3,6-anhydro-L-galactose (L-AHG)/D-galactose, respectively. Purification of NA6/NA4 and NA2 was achieved by Sephadex G-15 column chromatography, while L-AHG was purified by Sephadex G-10, achieving ≥ 98 % purity.
View Article and Find Full Text PDFHum Mol Genet
January 2025
Department of Reproductive Medicine, The First Affiliated Hospital of Henan University of CM, No. 19, Renmin Road, Jinshui District, Zhengzhou City, Henan Province, China.
This study systematically explores the oncogenic role of the long non-coding RNA (lncRNA) LINC00115 in endometrial cancer (EC) and reveals its unique mechanism in promoting proliferation, invasion, and metastasis via the JAK/STAT signaling pathway. LINC00115 is significantly upregulated in EC tissues and closely associated with advanced TNM staging and lymph node metastasis. Functional assays showed that knockdown of LINC00115 suppressed EC cell proliferation, invasion, and metastasis, while overexpression enhanced these malignant behaviors.
View Article and Find Full Text PDFJ Diabetes Metab Disord
June 2025
Department of Physiology, Kampala International University, Western Campus, Ishaka, Uganda.
Purpose: Diabetes mellitus is a global health challenge that leads to severe complications, negatively impacting overall health, life expectancy, and quality of life. Herbal medicines, valued for their accessibility and therapeutic benefits with minimal side effects, have been promoted as potential treatments. Managing conditions like diabetes, characterized by free radical production and cytokine-driven inflammation, is vital due to the active components in plants that exert direct pharmacological effects.
View Article and Find Full Text PDFAs the number of Parkinson's patients is expected to increase with the growth of the aging population there is a growing need to identify new diagnostic markers that can be used cheaply and routinely to monitor the population, stratify patients towards treatment paths and provide new therapeutic leads. Genetic predisposition and familial forms account for only around 10% of PD cases [1] leaving a large fraction of the population with minimal effective markers for identifying high risk individuals. The establishment of population-wide omics and longitudinal health monitoring studies provides an opportunity to apply machine learning approaches on these unbiased cohorts to identify novel PD markers.
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