Abstract:
Psoriasis is a chronic inflammatory skin condition characterized by redness, flaking, and thickening of the skin. Its pathogenesis involves abnormal proliferation and differentiation of epidermal keratinocytes, accompanied by infiltration of immune cells and angiogenesis within the skin[1]. This condition affects a significant number of individuals globally, with an incidence ranging from 0.09% to 11.43%, impacting approximately 125 million people and exerting considerable physical, mental, and socioeconomic burdens[2]. Although treatment options for psoriasis have advanced, our understanding of the underlying mechanisms remains incomplete. The objective of this research is to explore the molecular and cellular mechanisms that drive psoriasis, with a specific focus on the pivotal role of skin cells (keratinocytes) in the progression of the disease. Additionally, we aim to investigate the influence of the gut microbiome on the development and exacerbation of psoriasis, aiming to identify potential therapeutic interventions that target the microbiota. Moreover, this study will evaluate the effectiveness and safety of biologics, a new class of medications that target specific components of the immune system, as a potential treatment option for psoriasis. By employing deep learning and artificial intelligence techniques, we will analyze extensive genomic data, seeking to discover novel genetic markers associated with susceptibility to and severity of psoriasis. Based on the research findings, this study will propose future treatment strategies using a multidisciplinary approach that integrates knowledge from genetics, immunology, and computational biology. The ultimate goal is to develop personalized and more efficient therapeutic interventions for psoriasis, aiming to alleviate the physical and psychological impact on patients and reduce the socioeconomic burden imposed by this disease.
Page(s):
435-435
DOI:
DOI not available
Published:
Journal: Abstract Book on International Conference on Food and Applied Sciences (ICFAS-23) 3-5 August 23, Volume: 0, Issue: 0, Year: 2023