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Alzheimer's disease: an integrative bioinformatics and machine learning analysis reveals glutamine metabolism-associated gene biomarkers.
BMC Pharmacol Toxicol
January 2025
Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, 264100, PR China.
Background: Alzheimer's disease (AD), a hallmark of age-related cognitive decline, is defined by its unique neuropathology. Metabolic dysregulation, particularly involving glutamine (Gln) metabolism, has emerged as a critical but underexplored aspect of AD pathophysiology, representing a significant gap in our current understanding of the disease.
Methods: To investigate the involvement of GlnMgs in AD, we conducted a comprehensive bioinformatic analysis.
Prognostic models of immune-related cell death and stress unveil mechanisms driving macrophage phenotypic evolution in colorectal cancer.
J Transl Med
January 2025
Department of Gastrointestinal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Background: Tumor microenvironment (TME), particularly immune cell infiltration, programmed cell death (PCD) and stress, has increasingly become a focal point in colorectal cancer (CRC) treatment. Uncovering the intricate crosstalk between these factors can enhance our understanding of CRC, guide therapeutic strategies, and improve patient prognosis.
Methods: We constructed an immune-related cell death and stress (ICDS) prognostic model utilizing machine learning methodologies.
Predictive role of SLC1A5 in neuroblastoma prognosis and immunotherapy.
BMC Cancer
January 2025
Department of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Background: Neuroblastoma, a prevalent extracranial solid tumor in pediatric patients, demonstrates significant clinical heterogeneity, ranging from spontaneous regression to aggressive metastatic disease. Despite advances in treatment, high-risk neuroblastoma remains associated with poor survival. SLC1A5, a key glutamine transporter, plays a dual role in promoting tumor growth and immune modulation.
View Article and Find Full Text PDFLogic-Gated DNA Intelligent Nanorobots for Cellular Lysosome Interference and Enhanced Therapeutics.
Angew Chem Int Ed Engl
January 2025
University of Science and Technology of China, Department of Chemistry, 96 JinZhai Road, 230026, Hefei, CHINA.
Environment-recognizing DNA nanodevices have proven promising for cellular manipulation and disease treatment, whereas how to sequentially respond to different cellular microenvironments remains a challenge. To this end, here we elaborate a logic-gated intelligent DNA nanorobot (Gi-DR) for the cascade response to inter- and intra-cellular microenvironments, thereby achieving lysosome-targeted cargo delivery for subcellular interference and tumor treatment with enhanced efficacy. Utilizing G-quadruplexes to respond to high-level K+ in cancer cell surrounding, this Gi-DR nanorobot can activate an aptamer-based transmembrane DNA machine that delivers molecular payloads to cellular lysosome.
View Article and Find Full Text PDFMolluscan marvels of Gujarat: exploring species distribution and conservation strategies using a spatial approach.
Environ Sci Pollut Res Int
January 2025
Division of Marine and Freshwater Biology, Department of Zoology, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India.
This study delves into the Molluscan diversity along the Gujarat coast, India, focusing on the distribution and habitat suitability of four key species: Cerithium caeruleum, Lunella coronata, Peronia verruculata, and Trochus radiatus. Utilizing species distribution models (SDMs) integrated with machine learning algorithms, we assessed the impact of environmental variables on the distribution patterns of these molluscs. Our findings reveal a nuanced understanding of habitat preferences, highlighting the critical roles of salinity, chlorophyll concentration, and water temperature.
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