Authors
Shuke Rao, Jiashun Xu, Weixia Xu, Yingjie Chang, Lichong Chen, Weiliang Yuan, Jiamin Xie, Huafeng Li, Jinjian Zhang, Ying Xie, Guihua Xu, Chenli Xie
Published in
Iranian journal of allergy, asthma, and immunology. Volume 25. Issue 4. Pages 502-516. Jun 03, 2026. Epub Jun 03, 2026.
Abstract
Natural killer (NK) cells contribute to the development of Rheumatoid Arthritis (RA). Increased expression of programmed cell death protein 1 (PD-1), encoded by the PDCD1 gene, indicates NK cell exhaustion, a process that may be influenced by microRNAs (miRNAs). In this study, we examined PD-1 expression on NK cells from RA patients and evaluated whether miRNAs modulate this pathway. Although antibiotics are critical for treating infections, they can provoke harmful immune responses by releasing bacterial components that overstimulate the immune system. Such responses may lead to excessive inflammation or cytokine storms. To address this risk, we assessed the immune safety of a newly designed chimeric endolysin, ZAM-MSC, and compared its effects with traditional antibiotics using transcriptomic, proteomic, and computational analyses. We analyzed public gene and protein expression datasets from antibiotic-treated human cells and performed in silico studies on ZAM-MSC. Differential expression analysis and pathway enrichment were conducted, alongside structural modeling of the endolysin and its predicted interactions with immune receptors. Antibiotic treatment strongly activated inflammatory genes and pathways, including nuclear factor kappa B (NF-κB) and mitogen-activated protein kinase (MAPK). In contrast, ZAM-MSC minimally affected immune-related gene expression, with downregulation of interleukin-6 receptor (IL6R) and tumor necrosis factor receptor 1A (TNFRSF1A). Structural modeling showed weak interactions with Toll-like receptors, and epitope analysis predicted low immunogenicity. These results suggest ZAM-MSC may offer a safer antimicrobial alternative, though all protein-level findings are based on computational predictions and require experimental validation.
PMID:
42437311
Bibliographic data and abstract were imported from PubMed on 12 Jul 2026.
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