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Iranian journal of allergy, asthma, and immunology · 2026

Immunomodulatory Effects of Bacterial Lysates Combined with Bronchoalveolar Lavage on Cytokine Regulation and T-cell Responses in Pseudomonas aeruginosa-colonized Bronchiectasis.

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Rao Shuke, Xu Jiashun, Xu Weixia, Chang Yingjie, Chen Lichong, Yuan Weiliang, Xie Jiamin, Li Huafeng, Zhang Jinjian, Xie Ying, Xu Guihua, Xie Chenli

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты