Snake envenomation presents a significant global health challenge, especially in rural areas of tropical and subtropical regions. Traditional antivenom therapies face limitations related to efficacy, availability, and specificity, prompting a need for novel approaches. Recent advancements in omics technologies, particularly metabolomics and proteomics, have enhanced our understanding of snake venom composition, toxicity, and potential therapeutic strategies. Metabolomics allows for the study of metabolic changes induced by venom, providing insights into disrupted pathways and possible inhibitors. Proteomics facilitates the identification and characterization of venom proteins, unveiling their interactions with therapeutic agents. Integrative databases such as the Snake Venom Database (SVDB) and STAB Profiles enhance this research by cataloging venom components and aiding in the analysis of venom-antivenom interactions. The combined application of metabolomics and proteomics has led to the identification of crucial metabolic pathways and protein targets essential for effective venom inhibition. This review explores current advances in these fields, emphasizing the role of omics in identifying novel inhibitors and developing next-generation antivenoms. The integrated approach of metabolomics and proteomics offers a comprehensive understanding of snake venom biology, paving the way for more effective and tailored therapeutic solutions for envenomation.
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http://dx.doi.org/10.1007/s00204-024-03947-4 | DOI Listing |
Front Vet Sci
December 2024
Department of Veterinary Medicine and Animal Sciences, University of Milan, Lodi, Italy.
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View Article and Find Full Text PDFFront Oncol
December 2024
Department of Respiratory and Critical Care Medicine, Center for Respiratory Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This comprehensive review examines the current applications and future prospects of AI in lung cancer research and treatment. We critically analyze the latest AI technologies and their applications across multiple domains, including genomics, transcriptomics, proteomics, metabolomics, immunomics, microbiomics, radiomics, and pathomics in lung cancer research.
View Article and Find Full Text PDFBMC Genomics
January 2025
College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Background: Trimethylamine N-oxide (TMAO) is a metabolite produced by gut microbiota, and its potential impact on lipid metabolism in mammals has garnered widespread attention in the scientific community. Bovine fatty liver disease, a metabolic disorder that severely affects the health and productivity of dairy cows, poses a significant economic burden on the global dairy industry. However, the specific role and pathogenesis of TMAO in bovine fatty liver disease remain unclear, limiting our understanding and treatment of the condition.
View Article and Find Full Text PDFTree Physiol
January 2025
Laboratoire de Biologie du Développement, UMR 7622, Institut de Biologie Paris-Seine (IBPS), Sorbonne Université, CNRS, F-75005 Paris, France.
Norway maple and sycamore belong to the Acer genus and produce desiccation-tolerant and desiccation-sensitive seeds, respectively. We investigated the seed germination process at the imbibed and germinated stages using metabolomic and proteomic approaches to determine why sycamore seeds germinate earlier and are more successful at establishing seedlings than Norway maple seeds under controlled conditions. Embryonic axes and embryonic axes with protruded radicles were analyzed at the imbibed and germinated stages, respectively.
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