Deep RNA sequencing of intensive care unit patients with COVID-19.
Deep RNA sequencing of intensive care unit patients with COVID-19.
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DOI:
10.1038/s41598-022-20139-1
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发表时间:
2022-09-21
影响因子:
4.6
通讯作者:
Monaghan, Sean F.
中科院分区:
文献类型:
--
作者:
Fredericks, Alger M.;Jentzsch, Maximilian S.;Cioffi, William G.;Cohen, Maya;Fairbrother, William G.;Gandhi, Shivam J.;Harrington, Elizabeth O.;Nau, Gerard J.;Reichner, Jonathan S.;Ventetuolo, Corey E.;Levy, Mitchell M.;Ayala, Alfred;Monaghan, Sean F.
COVID-19 has impacted millions of patients across the world. Molecular testing occurring now identifies the presence of the virus at the sampling site: nasopharynx, nares, or oral cavity. RNA sequencing has the potential to establish both the presence of the virus and define the host’s response in COVID-19. Single center, prospective study of patients with COVID-19 admitted to the intensive care unit where deep RNA sequencing (> 100 million reads) of peripheral blood with computational biology analysis was done. All patients had positive SARS-CoV-2 PCR. Clinical data was prospectively collected. We enrolled fifteen patients at a single hospital. Patients were critically ill with a mortality of 47% and 67% were on a ventilator. All the patients had the SARS-CoV-2 RNA identified in the blood in addition to RNA from other viruses, bacteria, and archaea. The expression of many immune modulating genes, including PD-L1 and PD-L2, were significantly different in patients who died from COVID-19. Some proteins were influenced by alternative transcription and splicing events, as seen in HLA-C, HLA-E, NRP1 and NRP2. Entropy calculated from alternative RNA splicing and transcription start/end predicted mortality in these patients. Current upper respiratory tract testing for COVID-19 only determines if the virus is present. Deep RNA sequencing with appropriate computational biology may provide important prognostic information and point to therapeutic foci to be precisely targeted in future studies.
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DOI:
10.1126/science.abd3072
发表时间:
2020-11-13
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Daly JL;Simonetti B;Klein K;Chen KE;Williamson MK;Antón-Plágaro C;Shoemark DK;Simón-Gracia L;Bauer M;Hollandi R;Greber UF;Horvath P;Sessions RB;Helenius A;Hiscox JA;Teesalu T;Matthews DA;Davidson AD;Collins BM;Cullen PJ;Yamauchi Y
通讯作者:
Yamauchi Y
DOI:
10.1164/rccm.202002-0445oc
发表时间:
2020-06-01
影响因子:
24.7
作者:
Feng, Yun;Ling, Yun;Qu, Jieming
通讯作者:
Qu, Jieming
影响因子:
8.8
作者:
Aho, Erin R.;Wang, Jing;Tansey, William P.
通讯作者:
Tansey, William P.
影响因子:
158.5
作者:
Ackermann, Maximilian;Verleden, Stijn E.;Jonigk, Danny
通讯作者:
Jonigk, Danny
DOI:
10.1016/s0140-6736(20)32137-1
发表时间:
2020-11-14
期刊:
Lancet (London, England)
影响因子:
--
作者:
Poland GA;Ovsyannikova IG;Kennedy RB
通讯作者:
Kennedy RB