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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Research (Washington, D.C.)
2025
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| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40458610/ |
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| _version_ | 1868266196171751424 |
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| author | Liao, Meng'en Cai, Jianpeng Zhu, Feng Lan, Yuanbo Xu, Tianqi Guo, Jingxin Xue, Quanlin Wen, Yilong Zou, Fan Zhang, Yu Zhang, Shiliang Yan, Yan Ai, Jingwen Cui, Jie Zhang, Wenhong |
| author_facet | Liao, Meng'en Cai, Jianpeng Zhu, Feng Lan, Yuanbo Xu, Tianqi Guo, Jingxin Xue, Quanlin Wen, Yilong Zou, Fan Zhang, Yu Zhang, Shiliang Yan, Yan Ai, Jingwen Cui, Jie Zhang, Wenhong Liao, Meng'en Cai, Jianpeng Zhu, Feng Lan, Yuanbo Xu, Tianqi Guo, Jingxin Xue, Quanlin Wen, Yilong Zou, Fan Zhang, Yu Zhang, Shiliang Yan, Yan Ai, Jingwen Cui, Jie Zhang, Wenhong |
| collection | PubMed - marine biology |
| contents | Meta-transcriptomics Reveals Dysbiosis of the Respiratory Microbiome in Older Adults with Long COVID. Liao, Meng'en Cai, Jianpeng Zhu, Feng Lan, Yuanbo Xu, Tianqi Guo, Jingxin Xue, Quanlin Wen, Yilong Zou, Fan Zhang, Yu Zhang, Shiliang Yan, Yan Ai, Jingwen Cui, Jie Zhang, Wenhong Limited research has investigated the connection between long COVID (LC) and the respiratory microbiome, particularly in older adults. This study aimed to characterize the respiratory microbiome of older LC patients (with an average age of 65 years old), through meta-transcriptomic sequencing of 201 individual samples. Marked differences in microbial diversity were observed between LC and non-LC patients, including disruptions in both pathogenic bacteria and fungi. Importantly, viral taxa, such as and , were more frequently detected in LC patients, indicating the vulnerability of LC patients to viral infections. Functional annotation at the expression level revealed notable differences in microbial metabolism with alterations observed in pathways related to tryptophan-serotonin metabolism in LC patients. These findings underscore the altered microbial landscape, especially in older adults who developed LC, and fill the gap for the potentially clinical roles played by the respiratory microbiome. |
| format | Artículo científico |
| id | pubmed_40458610 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Research (Washington, D.C.) |
| record_format | pubmed |
| spellingShingle | Meta-transcriptomics Reveals Dysbiosis of the Respiratory Microbiome in Older Adults with Long COVID. Liao, Meng'en Cai, Jianpeng Zhu, Feng Lan, Yuanbo Xu, Tianqi Guo, Jingxin Xue, Quanlin Wen, Yilong Zou, Fan Zhang, Yu Zhang, Shiliang Yan, Yan Ai, Jingwen Cui, Jie Zhang, Wenhong Meta-transcriptomics Reveals Dysbiosis of the Respiratory Microbiome in Older Adults with Long COVID. Liao, Meng'en Cai, Jianpeng Zhu, Feng Lan, Yuanbo Xu, Tianqi Guo, Jingxin Xue, Quanlin Wen, Yilong Zou, Fan Zhang, Yu Zhang, Shiliang Yan, Yan Ai, Jingwen Cui, Jie Zhang, Wenhong Limited research has investigated the connection between long COVID (LC) and the respiratory microbiome, particularly in older adults. This study aimed to characterize the respiratory microbiome of older LC patients (with an average age of 65 years old), through meta-transcriptomic sequencing of 201 individual samples. Marked differences in microbial diversity were observed between LC and non-LC patients, including disruptions in both pathogenic bacteria and fungi. Importantly, viral taxa, such as and , were more frequently detected in LC patients, indicating the vulnerability of LC patients to viral infections. Functional annotation at the expression level revealed notable differences in microbial metabolism with alterations observed in pathways related to tryptophan-serotonin metabolism in LC patients. These findings underscore the altered microbial landscape, especially in older adults who developed LC, and fill the gap for the potentially clinical roles played by the respiratory microbiome. |
| title | Meta-transcriptomics Reveals Dysbiosis of the Respiratory Microbiome in Older Adults with Long COVID. |
| url | https://pubmed.ncbi.nlm.nih.gov/40458610/ |