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Psoriasis (Pso) is a chronic erythema squamous disease often accompanied by metabolic abnormalities. Disturbances in lactate metabolism have been observed in the skin of patients with Pso, but the role of lactate metabolism in the pathogenesis of Pso remains unclear. To identify core genes associated with lactate metabolism in Pso, we downloaded and merged two Pso-related datasets (GSE13355, GSE109248) from the GEO database. Through comprehensive analysis, we analyzed the functions associated with these hub genes and the correlation between their expression levels and immune infiltration. Additionally, we explored lactate metabolism-related hub genes in different immune cells using single-cell sequencing data. We identified four lactate metabolism-related hub genes that are highly associated with Pso. Further analysis revealed that these four hub genes were significantly correlated with the levels of immune cell infiltration. To further elucidate the impact of lactate metabolism on immune cells, we analyzed single-cell sequencing data from healthy controls and Pso patients. The expression of lactate metabolism-related hub genes was primarily observed in moDCs and T cells. These results suggest that lactate metabolism-related genes and their functions are closely associated with changes in inflammatory cells in Pso patients. This study provides new insights into the role of lactate metabolism in the pathogenesis of Pso and highlights potential therapeutic targets for the disease.
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http://dx.doi.org/10.1038/s41598-025-91237-z | DOI Listing |
Mol Med Rep
November 2025
Department of Gastroenterology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050035, P.R. China.
Lenvatinib, a multi‑target tyrosine kinase inhibitor, has been approved as the first‑line treatment for advanced liver cancer (LC). However, its efficacy is markedly hindered by the rapid emergence of drug resistance. The phosphatidylinositol 3 kinase/protein kinase B/hypoxia‑inducible factor‑1 α (PI3K/AKT/HIF‑1α) signaling axis represents a key oncogenic pathway that regulates diverse biological processes, including aerobic glycolysis, and is closely associated with tumor progression and therapeutic resistance.
View Article and Find Full Text PDFFront Cell Dev Biol
August 2025
Department of Cardiology, The Third Xiangya Hospital of Central South University, Changsha, China.
Background: Atrial fibrillation (AF) is linked to modifications in T cell-mediated immunity. Although lactate metabolism influences T cell differentiation and function, its specific role in AF and associated immune processes remains inadequately understood.
Methods: We performed an integrated transcriptomic analysis utilizing both bulk and single-nucleus RNA sequencing data derived from hearts exhibiting AF and those in sinus rhythm.
Cell Death Differ
August 2025
Department of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, China.
Chronic kidney disease (CKD) progression is tightly associated with renal fibrosis, which is regulated by macrophage M2 polarization. The intestinal metabolite trimethylamine N-oxide (TMAO) has been reported to promote CKD, yet its underlying mechanism remains unclear. Here, we elucidated a mechanism wherein TMAO excreted through the kidneys alters the pyruvate metabolism of renal tubular epithelial cells, resulting in the production of lactic acid.
View Article and Find Full Text PDFTransl Cancer Res
July 2025
Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Background: Previous studies often overlooked the roles of hypoxia and lactate metabolism in the breast cancer (BRCA) microenvironment. This study developed and validated a novel prognostic model for BRCA based on hypoxia-related genes (HRGs) and lactate metabolism-related genes (LMRGs) using machine learning approaches. The aim was to identify molecular subtypes capable of predicting patient prognosis and treatment response, thereby facilitating precision medicine strategies for BRCA.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
April 2025
Cancer Research Institute, Xiangya School of Basic Medical Sciences, Central South University, Changsha 410078.
Objectives: Multiple myeloma (MM) is a highly heterogeneous hematologic malignancy, with disease progression driven by cytogenetic abnormalities and a complex bone marrow microenvironment. This study aims to construct a prognostic model for MM based on transcriptomic data and lipid metabolism related genes (LRGs), and to identify potential drug targets for high-risk patients to support clinical decision-making.
Methods: In this study, 2 transcriptomic datasets covering 985 newly diagnosed MM patients were retrieved from the Gene Expression Omnibus (GEO) database.