Targeting T-cell integrins in autoimmune and inflammatory diseases.
Aidan J KellyAideen LongPublished in: Clinical and experimental immunology (2023)
The recruitment of T-cells to tissues and their retention there are essential processes in the pathogenesis of many autoimmune and inflammatory diseases. The mechanisms regulating these processes have become better understood over the past three decades and are now recognised to involve temporally and spatially specific interactions between cell adhesion molecules. These include integrins, which are heterodimeric molecules that mediate in-to-out and out-to-in signalling in T-cells, other leukocytes, and most other cells of the body. Integrin signalling contributes to T-cell circulation through peripheral lymph nodes, immunological synapse stability and function, extravasation at the sites of inflammation, and T-cell retention at these sites. Greater understanding of the contribution of integrin signalling to the role of T-cells in autoimmune and inflammatory diseases has focused much attention on the development of therapeutics that target T-cell integrins. This literature review describes the structure, activation, and function of integrins with respect to T-cells, then discusses the use of integrin-targeting therapeutics in inflammatory bowel disease, multiple sclerosis, and psoriasis. Efficacy and safety data from clinical trials and post-marketing surveillance are presented for currently approved therapeutics, therapeutics that have been withdrawn from the market, and novel therapeutics currently in clinical trials. This literature review will inform the reader on the current means of targeting T-cell integrins in autoimmune and inflammatory diseases, as well as recent developments in the field.
Keyphrases
- multiple sclerosis
- cell adhesion
- clinical trial
- oxidative stress
- small molecule
- lymph node
- cancer therapy
- case report
- gene expression
- public health
- white matter
- working memory
- phase ii
- randomized controlled trial
- health insurance
- cell proliferation
- cell cycle arrest
- deep learning
- early stage
- electronic health record
- open label
- cell death
- peripheral blood
- big data
- atopic dermatitis
- pi k akt
- data analysis