
animal, Год журнала: 2024, Номер 19(1), С. 101376 - 101376
Опубликована: Ноя. 17, 2024
Язык: Английский
animal, Год журнала: 2024, Номер 19(1), С. 101376 - 101376
Опубликована: Ноя. 17, 2024
Язык: Английский
Journal of Innate Immunity, Год журнала: 2024, Номер 16(1), С. 295 - 323
Опубликована: Янв. 1, 2024
Evolutionarily, immune response is a complex mechanism that protects the host from internal and external threats. Pattern-recognition receptors (PRRs) recognize MAMPs, PAMPs, DAMPs to initiate protective pro-inflammatory response. PRRs are expressed on cell membranes by TLR1, 2, 4, 6 in cytosolic organelles TLR3, 7, 8, 9, NLRs, ALRs, cGLRs. We know their downstream signaling pathways controlling immunoregulatory However, impact of metabolic control cells pro- anti-inflammatory activity has not been discussed extensively.
Язык: Английский
Процитировано
7Cytokine, Год журнала: 2025, Номер 186, С. 156852 - 156852
Опубликована: Янв. 6, 2025
Язык: Английский
Процитировано
1Annals of Medicine and Surgery, Год журнала: 2023, Номер 85(11), С. 5511 - 5522
Опубликована: Сен. 13, 2023
Immunometabolism has emerged as a rapidly growing field of research, holding significant promise for personalised medicine and precision immunotherapy. This review explores the intricate relationship between immune function metabolic processes, emphasising their profound impact on various immune-related disorders. Understanding how dysregulation contributes to pathogenesis these disorders remains critical research gap. Therefore, this aims bridge that gap by examining key pathways involved specific implications in cell function. Key pathways, including glycolysis, mitochondrial metabolism, fatty acid amino are discussed context Dysregulation can disrupt activation, differentiation, overall function, contributing disease pathogenesis. alterations' molecular mechanisms is essential developing targeted therapeutic interventions. The also emphasises importance unique profiles individuals influence treatment outcomes, highlighting need tailored approaches. Integrating profiling into clinical practice enhance efficacy improve patient outcomes. Investigating significance immunometabolism diverse contexts will facilitate translation findings practice. Moreover, refining strategies based individual contribute advancing
Язык: Английский
Процитировано
13International Journal of Biological Macromolecules, Год журнала: 2024, Номер 277, С. 132628 - 132628
Опубликована: Май 24, 2024
Язык: Английский
Процитировано
5Biomolecules, Год журнала: 2025, Номер 15(1), С. 99 - 99
Опубликована: Янв. 10, 2025
Interleukin-6 (IL-6) is a potent glycoprotein that plays crucial role in regulating innate and adaptive immunity, as well metabolism. The expression release of IL-6 are closely correlated with the severity various diseases. IL-6-inducing peptides critical for development immunotherapy diagnostic biomarkers some Most existing methods predicting IL-6-induced use traditional machine learning methods, whose feature selection based on prior knowledge. In addition, none these take into account three-dimensional (3D) structure peptides, which essential their functional properties. this study, we propose novel peptide prediction method called DGIL-6, integrates 3D structural information graph neural networks. DGIL-6 represents sequence graph, where each amino acid treated node, adjacency matrix, representing relationships between nodes, derived from predicted residue contact sequence. addition to commonly used representations, such one-hot encoding position encoding, pre-trained model ESM-1b employed extract features node features. order simultaneously consider weights updates, dual-channel combining Graph Attention Network (GAT) Convolutional (GCN) adopted. Finally, extracted both channels merged classification peptides. A series experiments including cross-validation, independent testing, ablation studies, visualizations demonstrate effectiveness method.
Язык: Английский
Процитировано
0mSphere, Год журнала: 2025, Номер unknown
Опубликована: Март 31, 2025
ABSTRACT Tuberculosis (TB), especially pulmonary tuberculosis (PTB), is a prevalent infectious disease affecting the respiratory system and characterized by high morbidity, disability, mortality rates that significantly impact quality of life patients their families. Host genetic susceptibility plays crucial role in infection process Mycobacterium ( M. ) with single nucleotide polymorphisms (SNPs) identified as key factors loci associated occurrence progression. Research indicates cytokine genes—including interferons, interleukins, tumor necrosis factors, chemokines—are closely linked to onset, progression, treatment outcomes tuberculosis. Investigating gene PTB essential for understanding mechanisms prognosis. This review summarizes elucidates biological involved at molecular level, provides insights into clinical strategies TB.
Язык: Английский
Процитировано
0Frontiers in Immunology, Год журнала: 2025, Номер 16
Опубликована: Май 16, 2025
Metabolic reprogramming is an important player within the immune response to viral infections, allowing cells fine-tune their energy production and biosynthetic requirements while it actively working restrict pathogen access essential nutrients. Particularly, glucose metabolism, which appears be one of regulators function, affects cell activation, cytokine secretion, restriction. This review explores mechanisms metabolic during with a specific emphasis on metabolism. We discussed key cytokines involved in orchestrating this process influence pre-existing disorders efficiency. Furthermore, we introduced emerging therapeutic strategies that target metabolism enhance antiviral immunity improve disease outcomes. A deeper understanding interaction between could promising for development novel immunometabolic targets against infections.
Язык: Английский
Процитировано
0Gene, Год журнала: 2023, Номер 888, С. 147796 - 147796
Опубликована: Сен. 14, 2023
Язык: Английский
Процитировано
8Medicine, Год журнала: 2023, Номер 102(45), С. e36037 - e36037
Опубликована: Ноя. 10, 2023
Cytokines, notably interleukin-6 (IL-6), increase considerably in patients with severe corona virus disease 2019 (COVID-19). This vigorous immune response may cause end-organ failure or death; hence, measuring IL-6 the context of patient characteristics help predict outcomes and encourage early comprehensive therapy. study investigated association between serum levels, COVID-19 severity, demographic, clinical, biochemical characteristics. inpatients NMC hospitals were November 2020 2021. Several variables related to severity have been examined. The included 374 inpatients, 235 whom had a median age 51. elderly an increased risk (73.8%) compared young adults (71%), higher white blood cells, D-dimer, Lactate dehydrogenase, creatinine, ferritin, prothrombin time, Procalcitonin, fibrinogen levels (P < .001). C-reactive protein, troponin, intensive care unit admission, score, mortality significantly associated = .05) univariate analysis, but this significance disappeared multivariate analysis. IL-6, along other demographic clinical affected severity. These at assist establishing outcome strategies. Large-scale research is needed emphasize COVID-19.
Язык: Английский
Процитировано
8Molecular Metabolism, Год журнала: 2023, Номер 78, С. 101836 - 101836
Опубликована: Ноя. 8, 2023
Tumor cells hijack inflammatory mechanisms to promote their own growth. IL-6 is one of the major cytokines, and frequently upregulated in tumors. The pentose phosphate pathway (PPP) generates indispensable building blocks produce various nucleotides. Here we aimed determine whether how PPP timely tuned response support tumor
Язык: Английский
Процитировано
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