Lei Huan, Xu Yixi, Zhang Hao, Zhang Bin, Luo Wenjun, Liu Xiao, Zhang Haijun, Yang Jinming, Wen Wen, Wang Ping, Xu Shijun
State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Front Immunol. 2025 May 22;16:1566690. doi: 10.3389/fimmu.2025.1566690. eCollection 2025.
Influenza infection is a significant threat to public health, and identifying dynamic biomarkers that influence disease progression is crucial for effective intervention.
We conducted a comprehensive evaluation of physiological and pathological parameters in Balb/c mice infected with H1N1 influenza over a 14-day period. We employed the DIABLO multi-omics integration method to analyze dynamic changes in the lung transcriptome, metabolome, and serum metabolome from mild to severe stages of infection.
Our analysis highlighted the critical importance of intervention within the first 6 days post-infection to prevent severe disease. We identified several novel biomarkers associated with disease progression, including , kynurenine, L-glutamine, and adipoyl-carnitine. Additionally, we developed a serum-based influenza disease progression scoring system.
This study provides new insights into the molecular mechanisms underlying influenza progression and identifies potential targets for therapeutic intervention. The developed scoring system serves as a valuable tool for early diagnosis and prognosis of severe influenza.
流感感染对公众健康构成重大威胁，识别影响疾病进展的动态生物标志物对于有效干预至关重要。
我们对感染H1N1流感病毒的Balb/c小鼠在14天内的生理和病理参数进行了全面评估。我们采用DIABLO多组学整合方法分析了从感染的轻度到重度阶段肺转录组、代谢组和血清代谢组的动态变化。
我们的分析强调了在感染后第6天内进行干预以预防严重疾病的至关重要性。我们确定了几种与疾病进展相关的新型生物标志物，包括犬尿氨酸、L-谷氨酰胺和己二酰肉碱。此外，我们开发了一种基于血清的流感疾病进展评分系统。
本研究为流感进展的分子机制提供了新的见解，并确定了治疗干预的潜在靶点。所开发的评分系统是严重流感早期诊断和预后的有价值工具。
