Molecular Characterisation of Autoimmune Diseases

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Background

The field of immunology is pivotal in understanding the complex interactions between molecules and cells that form the immune system, which serves as the body's defense against infectious agents. Autoimmune diseases, where the immune system mistakenly attacks the body's own tissues, highlight the critical importance of maintaining immune tolerance. These diseases affect approximately 3-5% of the population, leading to increased morbidity and mortality rates compared to the general population. Recent advancements in molecular characterization techniques have significantly enhanced our understanding of autoimmune diseases. However, despite these advancements, many aspects of the immune responses involved in these diseases remain unclear. There is a pressing need for further investigation to elucidate these mechanisms, which could lead to improved diagnostic and therapeutic strategies.

This research topic aims to deepen our understanding of autoimmune diseases through molecular characterization. We seek to explore the intricate molecular pathways and immune responses involved in these diseases, with the goal of linking specific disease endotypes to both short-term and long-term patient outcomes. By focusing on molecular characterization, we aim to contribute to better diagnostic tools and preventive measures, ultimately improving the quality of life for individuals affected by autoimmune diseases.

To gather further insights in the molecular characterization of autoimmune diseases, we welcome articles addressing, but not limited to, the following themes:
- Molecular pathways and mechanisms underlying autoimmune diseases
- Identification and characterization of disease endotypes
- The role of molecular characterization in diagnostics and prevention
- Longitudinal studies linking molecular profiles to disease outcomes
- Novel molecular techniques and their application in autoimmune research
- Interdisciplinary approaches combining molecular biology with clinical insights

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Keywords: autoimmunity, inflammation, transcriptomics, genomics, proteomics

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