Evidence map›Paper›PMID 34122515›Full record

ArticleFrontiers in genetics2021

Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients.

Xinping Chen, Tao Wu, Lingguo Li, Yu Lin, Zhichao Ma, Jinjin Xu, Hui Li, Fanjun Cheng, Ruoyan Chen, Kun Sun and 24 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 32% of its field
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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

34 authors at 7 institutions in 1 country.

Xinping ChenHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Tao WuHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Lingguo LiBGI-Shenzhen, Shenzhen, China.
Yu LinBGI-Shenzhen, Shenzhen, China.
Zhichao MaHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Jinjin XuBGI-Shenzhen, Shenzhen, China.
Hui LiHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Fanjun ChengDepartment of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ruoyan ChenBGI-Shenzhen, Shenzhen, China.
Kun SunBGI-Shenzhen, Shenzhen, China.
Yuxue LuoBGI-Shenzhen, Shenzhen, China.
Chen ZhangHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Fang ChenBGI-Shenzhen, Shenzhen, China.
Jiao WangHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Tingyu KuoBGI-Shenzhen, Shenzhen, China.
Xiaojuan LiHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Chunyu GengBGI-Shenzhen, Shenzhen, China.
Feng LinHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Chaojie HuangBGI-Shenzhen, Shenzhen, China.
Junjie HuHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Jianhua YinBGI-Shenzhen, Shenzhen, China.
Ming LiuHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Ye TaoBGI-Shenzhen, Shenzhen, China.
Jiye ZhangHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Rijing OuBGI-Shenzhen, Shenzhen, China.
Fang ZhengDepartment of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan JinDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huanming YangBGI-Shenzhen, Shenzhen, China.
Jian WangBGI-Shenzhen, Shenzhen, China.
Xun XuBGI-Shenzhen, Shenzhen, China.
Shengmiao FuHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Hongyan JiangHainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Hainan General Hospital, Hainan Hospital Affiliated to The Hainan Medical College, Haikou, China.
Xin JinBGI-Shenzhen, Shenzhen, China.
Haiqiang ZhangBGI-Shenzhen, Shenzhen, China.
BGI Group (China) · CNHainan General Hospital · CNUnion Hospital · CNUniversity of Chinese Academy of Sciences · CNHuazhong University of Science and Technology · CNShenzhen Bay Laboratory · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Symptoms of coronavirus disease 2019 (COVID-19) range from asymptomatic to severe pneumonia and death. A deep understanding of the variation of biological characteristics in severe COVID-19 patients is crucial for the detection of individuals at high risk of critical condition for the clinical management of the disease. Herein, by profiling the gene expression spectrum deduced from DNA coverage in regions surrounding transcriptional start site in plasma cell-free DNA (cfDNA) of COVID-19 patients, we deciphered the altered biological processes in the severe cases and demonstrated the feasibility of cfDNA in measuring the COVID-19 progression. The up- and downregulated genes in the plasma of severe patient were found to be closely related to the biological processes and functions affected by COVID-19 progression. More importantly, with the analysis of transcriptome data of blood cells and lung cells from control group and cases with severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection, we revealed that the upregulated genes were predominantly involved in the viral and antiviral activity in blood cells, reflecting the intense viral replication and the active reaction of immune system in the severe patients. Pathway analysis of downregulated genes in plasma DNA and lung cells also demonstrated the diminished adenosine triphosphate synthesis function in lung cells, which was evidenced to correlate with the severe COVID-19 symptoms, such as a cytokine storm and acute respiratory distress. Overall, this study revealed tissue involvement, provided insights into the mechanism of COVID-19 progression, and highlighted the utility of cfDNA as a noninvasive biomarker for disease severity inspections.

Indexed as

COVID-19 severityplasma DNASARS-CoV-2tissue specificityTSS coverage

Identifiers

PMID34122515
PMCPMC8194351
OpenAlexW3166808747

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.