About this Research Topic
Chronic inflammation and tissue damage are hallmarks of inflammatory diseases like rheumatoid arthritis, osteoarthritis, and atherosclerosis. Senescent cells, which accumulate with age and contribute to tissue dysfunction, are involved in the development of these diseases. Senescence-associated molecular alterations (SAMA), which include the senescence-associated secretory phenotype (SASP), contribute to the chronic inflammation associated with these diseases. Targeting SAMA may represent a promising therapeutic strategy for treating inflammatory diseases.
• Characterize the molecular changes linked to cellular senescence that contribute to chronic inflammation in inflammatory diseases.
• Investigate the effectiveness of targeting senescence-associated molecular alterations, specifically SASP, as a potential treatment strategy for inflammatory diseases.
• Evaluate both the potential benefits and drawbacks of targeting SAMA in the treatment of inflammatory diseases, including assessing the safety and efficacy of such interventions.
• Gain a deeper understanding of the mechanisms underlying inflammatory diseases and the potential impact of targeting SAMA on disease progression and patient outcomes.
• Identify new therapeutic targets and explore alternative treatment approaches based on a more comprehensive understanding of the role of cellular senescence and SAMA in inflammatory disease pathogenesis.
The purpose of this research topic is to highlight the treatment targeting aging-associated molecular mechanisms for the treatment of inflammatory diseases, with a particular emphasis on the identification of novel aging targets and new drugs targeting aging. Potential interests include but are not limited to the identification of aging-related inflammatory genes, the use of statistical, machine learning, or deep learning methods for screening aging-related inflammatory disease subtypes, and the unveiling of the correlation between aging and the inflammatory phenotype.
The purpose of this research topic is to highlight the treatment targeting aging-associated molecular mechanisms for the treatment of inflammatory diseases.
1. Particular emphasis on the identification of novel aging targets and new drugs targeting aging
2. Potential interests include but are not limited to the identification of aging-related inflammatory genes.
3. The use of statistical, machine learning, or deep learning methods for screening aging-related inflammatory disease subtypes.
4. The unveiling of the correlation between aging and the inflammatory phenotype.
• Characterize the molecular changes linked to cellular senescence that contribute to chronic inflammation in inflammatory diseases.
• Investigate the effectiveness of targeting senescence-associated molecular alterations, specifically SASP, as a potential treatment strategy for inflammatory diseases.
• Evaluate both the potential benefits and drawbacks of targeting SAMA in the treatment of inflammatory diseases, including assessing the safety and efficacy of such interventions.
• Gain a deeper understanding of the mechanisms underlying inflammatory diseases and the potential impact of targeting SAMA on disease progression and patient outcomes.
• Identify new therapeutic targets and explore alternative treatment approaches based on a more comprehensive understanding of the role of cellular senescence and SAMA in inflammatory disease pathogenesis.
The purpose of this research topic is to highlight the treatment targeting aging-associated molecular mechanisms for the treatment of inflammatory diseases, with a particular emphasis on the identification of novel aging targets and new drugs targeting aging. Potential interests include but are not limited to the identification of aging-related inflammatory genes, the use of statistical, machine learning, or deep learning methods for screening aging-related inflammatory disease subtypes, and the unveiling of the correlation between aging and the inflammatory phenotype.
The purpose of this research topic is to highlight the treatment targeting aging-associated molecular mechanisms for the treatment of inflammatory diseases.
1. Particular emphasis on the identification of novel aging targets and new drugs targeting aging
2. Potential interests include but are not limited to the identification of aging-related inflammatory genes.
3. The use of statistical, machine learning, or deep learning methods for screening aging-related inflammatory disease subtypes.
4. The unveiling of the correlation between aging and the inflammatory phenotype.
Keywords: Inflammatory Diseases, Aging, Senescence-Associated Secretory Phenotype, Senescence-Associated Molecular Alterations, Targeted Treatment
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