Toll-like Receptor Signaling Inhibitory Peptide Improves Inflammation in Animal Model and Human Systemic Lupus Erythematosus.
Wook-Young BaekYang-Seon ChoiSang-Won LeeIn-Ok SonKi-Woong JeonSang-Dun ChoiChang-Hee SuhPublished in: International journal of molecular sciences (2021)
Toll-like receptors (TLRs) play a major role in the innate immune system. Several studies have shown the regulatory effects of TLR-mediated pathways on immune and inflammatory diseases. Dysregulated functions of TLRs within the endosomal compartment, including TLR7/9 trafficking, may cause systemic lupus erythematosus (SLE). TLR signaling pathways are fine-tuned by Toll/interleukin-1 receptor (TIR) domain-containing adapters, leading to interferon (IFN)-α production. This study describes a TLR inhibitor peptide 1 (TIP1) that primarily suppresses the downstream signaling mediated by TIR domain-containing adapters in an animal model of lupus and patients with SLE. The expression of most downstream proteins of the TLR7/9/myeloid differentiation factor 88 (MyD88)/IFN regulatory factor 7 signaling was downregulated in major tissues such as the kidney, spleen, and lymph nodes of treated mice. Furthermore, the pathological analysis of the kidney tissue confirmed that TIP1 could improve inflammation in MRL/lpr mice. TIP1 treatment downregulated many downstream proteins associated with TLR signaling, such as MyD88, interleukin-1 receptor-associated kinase, tumor necrosis factor receptor-associated factor 6, and IFN-α, in the peripheral blood mononuclear cells of patients with SLE. In conclusion, our data suggest that TIP1 can serve as a potential candidate for the treatment of SLE.
Keyphrases
- toll like receptor
- systemic lupus erythematosus
- immune response
- disease activity
- inflammatory response
- nuclear factor
- dendritic cells
- oxidative stress
- lymph node
- signaling pathway
- rheumatoid arthritis
- endothelial cells
- gene expression
- machine learning
- air pollution
- epithelial mesenchymal transition
- poor prognosis
- transcription factor
- risk assessment
- big data
- adipose tissue
- early stage
- long non coding rna
- deep learning
- pi k akt
- cell proliferation
- artificial intelligence
- human health
- insulin resistance