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Lactylation: The Metabolic Accomplice Shaping Cancer's Response to Radiotherapy and Immunotherapy.
Ageing Res Rev
January 2025
Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China. Electronic address:
Protein lactylation, an emerging post-translational modification, is providing new insights into tumor biology and challenging our current understanding of cancer mechanisms. Our review illuminates the intricate roles of lactylation in carcinogenesis, tumor progression, and therapeutic responses, positioning it as a critical linchpin connecting metabolic reprogramming, epigenetic modulation, and treatment outcomes. We provide an in-depth analysis of lactylation's molecular mechanisms and its far-reaching impact on cell cycle regulation, immune evasion strategies, and therapeutic resistance within the complex tumor microenvironment.
View Article and Find Full Text PDFCellular Senescence in Tumor Immune Escape: Mechanisms, Implications, and Therapeutic Potential.
Crit Rev Oncol Hematol
January 2025
College of Life Science, Yangtze University, Jingzhou 434025, China. Electronic address:
Cellular senescence, a hallmark of aging, has emerged as a captivating area of research in tumor immunology with profound implications for cancer prevention and treatment. In the tumor microenvironment, senescent cells exhibit a dual role, simultaneously hindering tumor development through collaboration with immune cells and evading immune cell attacks by upregulating immunoinhibitory proteins. However, the intricate immune escape mechanism of cellular senescence in the tumor microenvironment remains a subject of intense investigation.
View Article and Find Full Text PDFDeciphering the phenotypic, inflammatory, and endocrine disrupting impacts of e-waste plastic-associated chemicals.
Environ Res
January 2025
Man-Technology-Environment Research Center (MTM), Örebro University, Örebro SE-701 82, Sweden.
As the volume of plastic waste from electrical and electronic equipment (WEEE) continues to rise, a significant portion is disposed of in the environment, with only a small fraction being recycled. Both disposal and recycling pose unknown health risks that require immediate attention. Existing knowledge of WEEE plastic toxicity is limited and mostly relies on epidemiological data and association studies, with few insights into the underlying toxicity mechanisms.
View Article and Find Full Text PDFA novel genetically encoded indicator for deciphering cytosolic and mitochondrial nitric oxide in live cells.
Biochem Biophys Res Commun
January 2025
Department of Pharmacy, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China. Electronic address:
Nitric oxide (NO) has been highlighted as a key gaseous signaling molecule in the body, playing a central role in various physiological and pathological processes. However, a comprehensive analysis of NO metabolism dynamics in living cells remains a significant challenge. To address this, we have developed and characterized a novel genetically encoded NO fluorescence sensor, GefiNO, to investigate NO metabolism dynamics in living cells and subcellular organelles.
View Article and Find Full Text PDFMetAssimulo 2.0: a web app for simulating realistic 1D & 2D Metabolomic 1H NMR spectra.
Bioinformatics
January 2025
Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, W12 0NN, United Kingdom.
Unlabelled: Metabolomics extensively utilizes Nuclear Magnetic Resonance (NMR) spectroscopy due to its excellent reproducibility and high throughput. Both one-dimensional (1D) and two-dimensional (2D) NMR spectra provide crucial information for metabolite annotation and quantification, yet present complex overlapping patterns which may require sophisticated machine learning algorithms to decipher. Unfortunately, the limited availability of labeled spectra can hamper application of machine learning, especially deep learning algorithms which require large amounts of labelled data.
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