Research reveals the modulatory effect of anti-inflammatory metabolite on immune cells

NewsGuard 100/100 Score

Researchers have revealed the modulatory effect of the anti-inflammatory metabolite itaconate on T helper and T regulatory cells, which may lead to new therapeutic approaches to treating some autoimmune diseases.

Autoimmune diseases occur when the immune system attacks its own body. There are more than eighty known types of autoimmune diseases. In many cases, autoimmune diseases can be treated by suppressing the immune system; however, a side effect of such treatment is that the patient has an increased risk of severe infectious diseases, which is a leading cause of death. Hence there is a need to establish novel therapies for autoimmune diseases to reduce the risk of infectious diseases.

A research team led by Professor Tatsuya Atsumi, Assistant Professor Michihito Kono and graduate student Kuniyuki Aso at Hokkaido University, along with Senior Lecturer Masatoshi Kanda at Sapporo Medical University, has studied the effect of the molecule itaconate on the immune system. Their findings, which have implications for treating autoimmune disorders, were published in the journal Nature Communications.

Multiple sclerosis (MS) and systemic lupus erythematosus are two of the many autoimmune diseases caused by a dysregulation of T cells. We were interested in two types of T cells: T helper 17 (Th17) and regulatory T (Treg) cells. These cells have the same origin but have opposite functions in autoimmune diseases, and cell metabolites modulate their action. The metabolite we focused on was itaconate (ITA), as it has been shown to have anti-inflammatory, antiviral, and antimicrobial effects."

Michihito Kono, Assistant Professor, Hokkaido University

The researchers showed that, in cell cultures, ITA inhibited the differentiation of Th17 cells which have the potential to elaborate autoimmune diseases, and promoted that of Treg cells, which can ameliorate them. Further, in mice models with experimental autoimmune encephalomyelitis, ITA reduced the disease symptoms. Further tests were conducted to confirm that this effect was due to its effect on T cells.

Investigations into the mechanism of action of ITA revealed that it inhibits essential metabolic pathways, glycolysis, oxidative phosphorylation, and methionine metabolism in Th17 and Treg cells. "ITA inhibits these pathways by directly inhibiting the enzymes methionine adenosyltransferase and isocitrate dehydrogenase, resulting in change of S-adenosyl-L-methionine/S-adenosylhomocysteine ratio and 2-hydroxyglutarate levels," Kono elaborated. "The altered cell metabolites also indirectly affect the chromatin accessibility of essential transcription factors and the synthesis of proteins required for the differentiation of Th17 and Treg cells."

"Our results explain the mechanisms that underlie the modulation of T cell differentiation," he concluded. "This could eventually lead to simple therapeutic approaches which regulate T cell differentiation, thereby treating T cell-mediated autoimmune diseases."

Source:
Journal reference:

Aso, K., et al. (2023). Itaconate ameliorates autoimmunity by modulating T cell imbalance via metabolic and epigenetic reprogramming. Nature Communications. doi.org/10.1038/s41467-023-36594-x

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Groundbreaking model predicts heart attack risk months in advance