Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in mice
IntroductionInfluenza infection is a significant threat to public health, and identifying dynamic biomarkers that influence disease progression is crucial for effective intervention.MethodsWe conducted a comprehensive evaluation of physiological and pathological parameters in Balb/c mice infected wi...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2025.1566690/full |
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| author | Huan Lei Huan Lei Huan Lei Yixi Xu Yixi Xu Yixi Xu Hao Zhang Hao Zhang Hao Zhang Bin Zhang Wenjun Luo Wenjun Luo Wenjun Luo Xiao Liu Xiao Liu Xiao Liu Haijun Zhang Haijun Zhang Haijun Zhang Jinming Yang Jinming Yang Jinming Yang Wen Wen Wen Wen Wen Wen Ping Wang Ping Wang Ping Wang Shijun Xu Shijun Xu Shijun Xu |
| author_facet | Huan Lei Huan Lei Huan Lei Yixi Xu Yixi Xu Yixi Xu Hao Zhang Hao Zhang Hao Zhang Bin Zhang Wenjun Luo Wenjun Luo Wenjun Luo Xiao Liu Xiao Liu Xiao Liu Haijun Zhang Haijun Zhang Haijun Zhang Jinming Yang Jinming Yang Jinming Yang Wen Wen Wen Wen Wen Wen Ping Wang Ping Wang Ping Wang Shijun Xu Shijun Xu Shijun Xu |
| author_sort | Huan Lei |
| collection | DOAJ |
| description | IntroductionInfluenza infection is a significant threat to public health, and identifying dynamic biomarkers that influence disease progression is crucial for effective intervention.MethodsWe 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.ResultsOur 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 Ccl8, Pdcd1, Gzmk, kynurenine, L-glutamine, and adipoyl-carnitine. Additionally, we developed a serum-based influenza disease progression scoring system.DiscussionThis 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. |
| format | Article |
| id | doaj-art-bd5beaf110da4293946db280b8552a6a |
| institution | Kabale University |
| issn | 1664-3224 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj-art-bd5beaf110da4293946db280b8552a6a2025-08-20T03:47:33ZengFrontiers Media S.A.Frontiers in Immunology1664-32242025-05-011610.3389/fimmu.2025.15666901566690Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in miceHuan Lei0Huan Lei1Huan Lei2Yixi Xu3Yixi Xu4Yixi Xu5Hao Zhang6Hao Zhang7Hao Zhang8Bin Zhang9Wenjun Luo10Wenjun Luo11Wenjun Luo12Xiao Liu13Xiao Liu14Xiao Liu15Haijun Zhang16Haijun Zhang17Haijun Zhang18Jinming Yang19Jinming Yang20Jinming Yang21Wen Wen22Wen Wen23Wen Wen24Ping Wang25Ping Wang26Ping Wang27Shijun Xu28Shijun Xu29Shijun Xu30State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaInstitute of Material Medica Integration and Transformation for Brain Disorders, Chengdu University Traditional Chinese Medicine, Chengdu, ChinaIntroductionInfluenza infection is a significant threat to public health, and identifying dynamic biomarkers that influence disease progression is crucial for effective intervention.MethodsWe 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.ResultsOur 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 Ccl8, Pdcd1, Gzmk, kynurenine, L-glutamine, and adipoyl-carnitine. Additionally, we developed a serum-based influenza disease progression scoring system.DiscussionThis 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.https://www.frontiersin.org/articles/10.3389/fimmu.2025.1566690/fullinfluenza A virusmultiomics integrationdisease severity predictionL-glutaminebiomarker |
| spellingShingle | Huan Lei Huan Lei Huan Lei Yixi Xu Yixi Xu Yixi Xu Hao Zhang Hao Zhang Hao Zhang Bin Zhang Wenjun Luo Wenjun Luo Wenjun Luo Xiao Liu Xiao Liu Xiao Liu Haijun Zhang Haijun Zhang Haijun Zhang Jinming Yang Jinming Yang Jinming Yang Wen Wen Wen Wen Wen Wen Ping Wang Ping Wang Ping Wang Shijun Xu Shijun Xu Shijun Xu Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in mice Frontiers in Immunology influenza A virus multiomics integration disease severity prediction L-glutamine biomarker |
| title | Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in mice |
| title_full | Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in mice |
| title_fullStr | Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in mice |
| title_full_unstemmed | Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in mice |
| title_short | Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in mice |
| title_sort | multiomics analysis unveils key biomarkers during dynamic progress of iav infection in mice |
| topic | influenza A virus multiomics integration disease severity prediction L-glutamine biomarker |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2025.1566690/full |
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