Evidence map›Paper›PMID 33135345›Full record

ArticleClinical and translational medicine2020

The noncoding and coding transcriptional landscape of the peripheral immune response in patients with COVID-19.

Hao Tang, Yuehan Gao, Zhaohuai Li, Yushan Miao, Zhaohao Huang, Xiuxing Liu, Lihui Xie, He Li, Wen Wen, Yingfeng Zheng and 1 more

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

102 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Trial
  6. Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients.Translational research : the journal of laboratory and clinical medicine · 2021
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42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hao TangDepartment of Respiratory and Critical Care Medicine Changzheng Hospital, Second Military Medical University, Shanghai, China.
Yuehan GaoState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Zhaohuai LiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Yushan MiaoDepartment of Respiratory and Critical Care Medicine Changzheng Hospital, Second Military Medical University, Shanghai, China.
Zhaohao HuangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Xiuxing LiuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Lihui XieState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
He LiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Wen WenNational Center for Liver Cancer, Second Military Medical University, Shanghai, China.
Yingfeng ZhengState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Wenru SuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-0506-6362

Funding

Program of Shanghai Academic Research Leader 20XD1423300the National Key R&D Program of China 2017YFA0105800the Natural Science Foundation of China 81670897
6 · The paper itself

Abstract

backgroundCOVID-19 is currently a global pandemic, but the response of human immune system to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection remains unclear. Noncoding RNAs serve as immune regulators and thus may play a critical role in disease progression.

methodsWe performed multi-transcriptome sequencing of both noncoding RNAs and mRNAs isolated from the red blood cell depleted whole blood of moderate and severe COVID-19 patients. The functions of noncoding RNAs were validated by analyses of the expression of downstream mRNAs. We further utilized the single-cell RNA-seq data of COVID-19 patients from Wilk et al. and Chua et al. to characterize noncoding RNA functions in different cell types.

resultsWe defined four types of microRNAs with different expression tendencies that could serve as biomarkers for COVID-19 progress. We also identified miR-146a-5p, miR-21-5p, miR-142-3p, and miR-15b-5p as potential contributors to the disease pathogenesis, possibly serving as biomarkers of severe COVID-19 and as candidate therapeutic targets. In addition, the transcriptome profiles consistently suggested hyperactivation of the immune response, loss of T-cell function, and immune dysregulation in severe patients.

conclusionsCollectively, these findings provide a comprehensive view of the noncoding and coding transcriptional landscape of peripheral immune cells during COVID-19, furthering our understanding and offering novel insights into COVID-19 pathogenesis.

Indexed as

bloodCOVID-19microRNAsnoncoding RNAs

Identifiers

PMID33135345
PMCPMC7548099

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.