Cargando…
Novel potential metabolic biomarker panel for early detection of severe COVID-19 using full-spectrum metabolome and whole-transcriptome analyses
| Autores principales: | , , , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026054/ https://www.ncbi.nlm.nih.gov/pubmed/35459913 http://dx.doi.org/10.1038/s41392-022-00976-2 |
| _version_ | 1784691029220261888 |
|---|---|
| author | Li, Zhi-Bin Liu, Jun Zhang, Shan-Qiang Yu, Yi Liang, Hong-Feng Lu, Qi-Qi Chen, Jing Han, Yu-Shuai Zhang, Fan Li, Ji-Cheng |
| author_facet | Li, Zhi-Bin Liu, Jun Zhang, Shan-Qiang Yu, Yi Liang, Hong-Feng Lu, Qi-Qi Chen, Jing Han, Yu-Shuai Zhang, Fan Li, Ji-Cheng |
| author_sort | Li, Zhi-Bin |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9026054 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-90260542022-04-22 Novel potential metabolic biomarker panel for early detection of severe COVID-19 using full-spectrum metabolome and whole-transcriptome analyses Li, Zhi-Bin Liu, Jun Zhang, Shan-Qiang Yu, Yi Liang, Hong-Feng Lu, Qi-Qi Chen, Jing Han, Yu-Shuai Zhang, Fan Li, Ji-Cheng Signal Transduct Target Ther Letter Nature Publishing Group UK 2022-04-22 /pmc/articles/PMC9026054/ /pubmed/35459913 http://dx.doi.org/10.1038/s41392-022-00976-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Letter Li, Zhi-Bin Liu, Jun Zhang, Shan-Qiang Yu, Yi Liang, Hong-Feng Lu, Qi-Qi Chen, Jing Han, Yu-Shuai Zhang, Fan Li, Ji-Cheng Novel potential metabolic biomarker panel for early detection of severe COVID-19 using full-spectrum metabolome and whole-transcriptome analyses |
| title | Novel potential metabolic biomarker panel for early detection of severe COVID-19 using full-spectrum metabolome and whole-transcriptome analyses |
| title_full | Novel potential metabolic biomarker panel for early detection of severe COVID-19 using full-spectrum metabolome and whole-transcriptome analyses |
| title_fullStr | Novel potential metabolic biomarker panel for early detection of severe COVID-19 using full-spectrum metabolome and whole-transcriptome analyses |
| title_full_unstemmed | Novel potential metabolic biomarker panel for early detection of severe COVID-19 using full-spectrum metabolome and whole-transcriptome analyses |
| title_short | Novel potential metabolic biomarker panel for early detection of severe COVID-19 using full-spectrum metabolome and whole-transcriptome analyses |
| title_sort | novel potential metabolic biomarker panel for early detection of severe covid-19 using full-spectrum metabolome and whole-transcriptome analyses |
| topic | Letter |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026054/ https://www.ncbi.nlm.nih.gov/pubmed/35459913 http://dx.doi.org/10.1038/s41392-022-00976-2 |
| work_keys_str_mv | AT lizhibin novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses AT liujun novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses AT zhangshanqiang novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses AT yuyi novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses AT lianghongfeng novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses AT luqiqi novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses AT chenjing novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses AT hanyushuai novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses AT zhangfan novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses AT lijicheng novelpotentialmetabolicbiomarkerpanelforearlydetectionofseverecovid19usingfullspectrummetabolomeandwholetranscriptomeanalyses |