Internal Medicine, Clinical Immunology and Metabolic Diseases
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Endocrinology and Clinical Metabolic Research".
Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 7790
Special Issue Editors
Interests: sjogren's syndrome; antiphospholipid syndrome; immune diseases; cobalamin-dependent pathways; omics
Special Issue Information
Dear Colleagues,
For a long time, immunity and metabolism have been considered as separate fields of research with little connections/gateways. However, over the last decade, hypothesis-free approaches have demonstrated the involvement of immune cells in metabolic diseases, but also the imbalance of metabolic pathways in immune diseases.
On one hand, it is now obvious that the immune system is not limited to conferring anti-infectious and anti-neoplastic protection but is also pivotal in metabolism homeostasis. Perturbations in this intricate immune–metabolism crosstalk contribute to disorders such as metabolic syndrome and solid cancers.
On the other hand, metabolism plays a crucial role in the maintenance of correct immune responses through the regulation of intracellular signal transduction and intercellular communication far beyond the reactive oxygen species. The SARS-CoV-2 pandemic has shed light on the dramatic consequences of ‘metabolic’ morbidities such as diabetes and obesity on the immune cells and the infection course. Studying the metabolism of immune cells would provide new insights into some still-unraveled functions of immune cells.
This Special Issue of Metabolites, “Internal Medicine, Clinical Immunology and Metabolic Diseases”, will be dedicated to dealing with interactions between immunity and metabolism in both immune and metabolic diseases. This Special Issue is intended for basic research, but also translational and clinical studies, as well as both hypothesis-led and hypothesis-free studies.
Dr. Geoffrey Urbanski
Dr. Floris Chabrun
Guest Editors
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Keywords
- autoimmune diseases
- metabolic disorders
- immunity
- omics
- hypothesis-free research
- machine learning
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