Cancer cells rewire their metabolism to meet the demands of growth and survival and this metabolic reprogramming has been recognized as an emerging hallmark of cancer. However, the respective mechanisms remain elusive and the contribution of aberrant lipid metabolism to the malignant phenotypes of glioma are unclear. The present study demonstrated that glial‑derived neurotrophic factor (GDNF) is highly expressed in glioma and associated with poor clinical outcomes. In addition, there was a significant correlation between GDNF/rearranged during transfection (RET)/ERK signaling and sterol regulatory element‑binding protein‑1 (SREBP‑1) expression in glioma cells. Pharmacological or genetic inhibition of GDNF‑induced RET/ERK activity downregulated SREBP‑1 expression and SREBP‑1‑mediated transcription of lipogenic genes. Additionally, GDNF regulated SREBP‑1 activity by promoting hypoxia‑inducible factor‑1α (HIF‑1α) mediated glucose absorption and hexosamine biosynthetic pathway mediated SREBP cleavage‑activating protein N‑glycosylation. In addition, the inhibition of SREBP‑1 reduced the GDNF‑induced glioma cell proliferation. The results elucidated the complex relationship between GDNF/RET/ERK signaling and dysregulated glycolipid‑metabolism, which shows great potential to uncover novel metabolic vulnerabilities and improve the efficacy of targeted therapies.
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http://dx.doi.org/10.3892/ijo.2022.5399 | DOI Listing |
Commun Biol
January 2025
Division of Geriatrics, Department of Medicine, SMPH, University of Wisconsin-Madison, Madison, WI, USA.
Changes in brain mitochondrial metabolism are coincident with functional decline; however, direct links between the two have not been established. Here, we show that mitochondrial targeting via the adiponectin receptor activator AdipoRon (AR) clears neurofibrillary tangles (NFTs) and rescues neuronal tauopathy-associated defects. AR reduced levels of phospho-tau and lowered NFT burden by a mechanism involving the energy-sensing kinase AMPK and the growth-sensing kinase GSK3b.
View Article and Find Full Text PDFActa Neuropathol Commun
January 2025
Department of Biological Sciences, Purdue University, 915 Mitch Daniels Blvd, West Lafayette, IN, USA.
Dementia refers to an umbrella phenotype of many different underlying pathologies with Alzheimer's disease (AD) being the most common type. Neuropathological examination remains the gold standard for accurate AD diagnosis, however, most that we know about AD genetics is based on Genome-Wide Association Studies (GWAS) of clinically defined AD. Such studies have identified multiple AD susceptibility variants with a significant portion of the heritability unexplained and highlighting the phenotypic and genetic heterogeneity of the clinically defined entity.
View Article and Find Full Text PDFBackground: The association between serum uric acid (SUA) and dyslipidaemia is still unclear in patients with type 2 diabetes mellitus (T2DM). This study aimed to examine the association between SUA and dyslipidaemia and to explore whether there is an optimal SUA level corresponding to the lower risk of suffering from dyslipidaemia.
Research Design And Methods: This cross-sectional study included 1036 inpatients with T2DM and the clinical data were extracted from the hospital medical records.
Cancer Lett
January 2025
Clinical and Health Sciences, University of South Australia, Adelaide, Australia; Department of Histopathology, Trinity College Dublin, St. James's Hospital, Dublin, Ireland. Electronic address:
Metabolic reprogramming is a hallmark of cancer, crucial for malignant transformation and metastasis. Chronic lymphocytic leukaemia (CLL) and prostate cancer exhibit similar metabolic adaptations, particularly in glucose and lipid metabolism. Understanding this metabolic plasticity is crucial for identifying mechanisms contributing to metastasis.
View Article and Find Full Text PDFEnviron Pollut
January 2025
College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou, Zhejiang, 310016, PR China. Electronic address:
The extensive presence of per-/polyfluoroalkyl substances (PFASs) in the environment and their adverse effects on organisms have garnered increasing concern. With the shift of industrial development from legacy to emerging PFASs, expanding the understanding of molecular responses to legacy and emerging PFASs is essential to accurately assess their risks to organisms. Compared with traditional toxicological approaches, omics technologies including transcriptomics, proteomics, metabolomics/lipidomics, and microbiomics allow comprehensive analysis of the molecular changes that occur in organisms after PFAS exposure.
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