About this Research Topic
Inflammation is the body's defensive response to stimulation. Numerous diseases, including cancer, diabetes, autoimmune, and neurological disorders, are associated with inflammation. Studies have shown that more than 50% of deaths are associated with inflammatory diseases. Excessive production of reactive oxygen species (ROS) can lead to oxidative stress, which causes oxidative damage to biomolecules, resulting in the production of endogenous damage-associated molecular patterns (DAMPs) and the release of cytokines in the organism. Cytokines activate downstream pattern-recognition receptors (PRRs), resulting in increased cytokine and chemokine release, recruitment and activation of more inflammatory cells, and a chronic inflammatory response. The chronic inflammatory reaction will strengthen the oxidative stress, and they interact with each other to form a vicious circle.
Antioxidants help scavenge ROS and neutralize free radicals, reducing the damage caused by oxidative stress and thereby reducing the inflammatory response. Furthermore, using antioxidants to scavenge ROS from the tumor microenvironment can improve the effect of tumor immunity because high levels of ROS in the tumor microenvironment can destroy lymphocytes and drastically reduce lymphocyte lifespan.
Further study on antioxidants is crucial due to their potential applications in inflammatory and immune-related diseases. Firstly, the anti-inflammatory mechanisms of some antioxidants are still unclear and need to be validated in trials. Secondly, the discovery of new antioxidants could be useful in providing candidates for the treatment of inflammatory and immune-related diseases. Traditional experimental methods are time-consuming and expensive. As a supplement to experimental methods, computational methods such as machine learning can effectively solve this problem.
The goal of the research topic is to provide a forum to explore antioxidants and their mechanism of action in the treatment of inflammatory and immune-related diseases and to find new antioxidants through experimental and computational methods to promote the research of antioxidants in the treatment of inflammatory and immune-related diseases.
In this research topic, we welcome submissions of original research or review articles, including but not limited to the following subtopics:
1) Construction of antioxidant database
2) Novel antioxidant prediction based on machine learning
3) Design and discovery of new antioxidants
4) Novel antioxidants and their mechanism of action in the treatment of inflammatory immune-related diseases
5) The prediction and prognosis of antioxidant-related target genes
6) The role of antioxidants and reactive oxygen species in tumor
7) The application of antioxidants in the prevention and treatment strategies of inflammatory and immune-related diseases.
Antioxidants help scavenge ROS and neutralize free radicals, reducing the damage caused by oxidative stress and thereby reducing the inflammatory response. Furthermore, using antioxidants to scavenge ROS from the tumor microenvironment can improve the effect of tumor immunity because high levels of ROS in the tumor microenvironment can destroy lymphocytes and drastically reduce lymphocyte lifespan.
Further study on antioxidants is crucial due to their potential applications in inflammatory and immune-related diseases. Firstly, the anti-inflammatory mechanisms of some antioxidants are still unclear and need to be validated in trials. Secondly, the discovery of new antioxidants could be useful in providing candidates for the treatment of inflammatory and immune-related diseases. Traditional experimental methods are time-consuming and expensive. As a supplement to experimental methods, computational methods such as machine learning can effectively solve this problem.
The goal of the research topic is to provide a forum to explore antioxidants and their mechanism of action in the treatment of inflammatory and immune-related diseases and to find new antioxidants through experimental and computational methods to promote the research of antioxidants in the treatment of inflammatory and immune-related diseases.
In this research topic, we welcome submissions of original research or review articles, including but not limited to the following subtopics:
1) Construction of antioxidant database
2) Novel antioxidant prediction based on machine learning
3) Design and discovery of new antioxidants
4) Novel antioxidants and their mechanism of action in the treatment of inflammatory immune-related diseases
5) The prediction and prognosis of antioxidant-related target genes
6) The role of antioxidants and reactive oxygen species in tumor
7) The application of antioxidants in the prevention and treatment strategies of inflammatory and immune-related diseases.
Keywords: Inflammation, autoimmune, reactive oxygen species, damage-associated molecular patterns, Antioxidants
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
