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Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression
In China, more than 80% of patients with coronavirus disease 2019 (COVID-19) received traditional Chinese medicine (TCM) as a treatment and their clinical efficacy have been reported. However, the underlying molecular mechanism remains unclear. Previous studies have identified herbal small RNAs (sRN...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Science China Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898691/ https://www.ncbi.nlm.nih.gov/pubmed/36738432 http://dx.doi.org/10.1007/s11427-022-2225-3 |
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author | Qiao, Xiangyu Huang, Fengming Shi, Xiaohu Deng, Xingyu Zhang, Cong Mei, Song Wang, Zhiqing Zhou, Congzhao Jiang, Chengyu Tan, Xinghua |
author_facet | Qiao, Xiangyu Huang, Fengming Shi, Xiaohu Deng, Xingyu Zhang, Cong Mei, Song Wang, Zhiqing Zhou, Congzhao Jiang, Chengyu Tan, Xinghua |
author_sort | Qiao, Xiangyu |
collection | PubMed |
description | In China, more than 80% of patients with coronavirus disease 2019 (COVID-19) received traditional Chinese medicine (TCM) as a treatment and their clinical efficacy have been reported. However, the underlying molecular mechanism remains unclear. Previous studies have identified herbal small RNAs (sRNAs) as novel functional components. In this study, a cohort of 22 patients with COVID-19 treated with Toujie Quwen (TQ) granules was analyzed. We observed thousands of herbal small RNAs that entered the blood cells of patients after the consumption of TQ granules. In response to this treatment, the reduced differentially expressed genes (DEGs) were highly correlated with the predicted target genes of the most prevalent herbal sRNAs detected in the blood. Moreover, the predicted target genes of the top 30 sRNAs from each of the 245 TCMs in the Bencao sRNA Atlas overlapped with 337 upregulated DEGs in patients with mild COVID-19, and 33 TCMs, with more than 50% overlapping genes were identified as effective TCMs. These predicted target genes of top 30 sRNAs from Juhong, Gualoupi and Foshou were confirmed experimentally. Our results not only elucidated a novel molecular mechanism of TCM potential clinical efficacy for COVID-19 patients, but also provided 33 effective COVID-19 TCMs for prescription optimization. SUPPORTING INFORMATION: The supporting information is available online at 10.1007/s11427-022-2225-3. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors. |
format | Online Article Text |
id | pubmed-9898691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Science China Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98986912023-02-06 Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression Qiao, Xiangyu Huang, Fengming Shi, Xiaohu Deng, Xingyu Zhang, Cong Mei, Song Wang, Zhiqing Zhou, Congzhao Jiang, Chengyu Tan, Xinghua Sci China Life Sci Research Paper In China, more than 80% of patients with coronavirus disease 2019 (COVID-19) received traditional Chinese medicine (TCM) as a treatment and their clinical efficacy have been reported. However, the underlying molecular mechanism remains unclear. Previous studies have identified herbal small RNAs (sRNAs) as novel functional components. In this study, a cohort of 22 patients with COVID-19 treated with Toujie Quwen (TQ) granules was analyzed. We observed thousands of herbal small RNAs that entered the blood cells of patients after the consumption of TQ granules. In response to this treatment, the reduced differentially expressed genes (DEGs) were highly correlated with the predicted target genes of the most prevalent herbal sRNAs detected in the blood. Moreover, the predicted target genes of the top 30 sRNAs from each of the 245 TCMs in the Bencao sRNA Atlas overlapped with 337 upregulated DEGs in patients with mild COVID-19, and 33 TCMs, with more than 50% overlapping genes were identified as effective TCMs. These predicted target genes of top 30 sRNAs from Juhong, Gualoupi and Foshou were confirmed experimentally. Our results not only elucidated a novel molecular mechanism of TCM potential clinical efficacy for COVID-19 patients, but also provided 33 effective COVID-19 TCMs for prescription optimization. SUPPORTING INFORMATION: The supporting information is available online at 10.1007/s11427-022-2225-3. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors. Science China Press 2023-02-03 2023 /pmc/articles/PMC9898691/ /pubmed/36738432 http://dx.doi.org/10.1007/s11427-022-2225-3 Text en © Science China Press 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Paper Qiao, Xiangyu Huang, Fengming Shi, Xiaohu Deng, Xingyu Zhang, Cong Mei, Song Wang, Zhiqing Zhou, Congzhao Jiang, Chengyu Tan, Xinghua Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression |
title | Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression |
title_full | Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression |
title_fullStr | Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression |
title_full_unstemmed | Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression |
title_short | Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression |
title_sort | herbal small rnas in patients with covid-19 linked to reduced deg expression |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898691/ https://www.ncbi.nlm.nih.gov/pubmed/36738432 http://dx.doi.org/10.1007/s11427-022-2225-3 |
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