Evidence map›Paper›PMID 33376242›Full record

ArticleScientific reports2020

In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients.

Joonho Park, Hyeyoon Kim, So Yeon Kim, Yeonjae Kim, Jee-Soo Lee, Kisoon Dan, Moon-Woo Seong, Dohyun Han

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
2.1field-weighted citation impact, top 7% 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

71 citing papers in PubMed, 118 citations in OpenAlex.

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11 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

8 authors at 2 institutions in 1 country.

Joonho ParkProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, 71 Daehak-ro, Seoul, Republic of Korea.
Hyeyoon KimProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, 71 Daehak-ro, Seoul, Republic of Korea.
So Yeon KimDepartment of Laboratory Medicine, National Medical Center, Seoul, Korea.
Yeonjae KimDepartment of Infectious Disease, National Medical Center, Seoul, Korea.
Jee-Soo LeeDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Seoul, Republic of Korea.
Kisoon DanProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, 71 Daehak-ro, Seoul, Republic of Korea.
Moon-Woo SeongDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Seoul, Republic of Korea. mwseong@snu.ac.kr.ORCID 0000-0003-2954-3677
Dohyun HanProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, 71 Daehak-ro, Seoul, Republic of Korea. hdh03@snu.ac.kr.ORCID 0000-0002-0841-1598
Seoul National University Hospital · KRNational Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected over forty million patients worldwide. Although most coronavirus disease 2019 (COVID-19) patients have a good prognosis, some develop severe illness. Markers that define disease severity or predict clinical outcome need to be urgently developed as the mortality rate in critical cases is approximately 61.5%. In the present study, we performed in-depth proteome profiling of undepleted plasma from eight COVID-19 patients. Quantitative proteomic analysis using the BoxCar method revealed that 91 out of 1222 quantified proteins were differentially expressed depending on the severity of COVID-19. Importantly, we found 76 proteins, previously not reported, which could be novel prognostic biomarker candidates. Our plasma proteome signatures captured the host response to SARS-CoV-2 infection, thereby highlighting the role of neutrophil activation, complement activation, platelet function, and T cell suppression as well as proinflammatory factors upstream and downstream of interleukin-6, interleukin-1B, and tumor necrosis factor. Consequently, this study supports the development of blood biomarkers and potential therapeutic targets to aid clinical decision-making and subsequently improve prognosis of COVID-19.

Indexed as

Severity of Illness IndexAdultAgedBiomarkersBlood ProteinsChromatography, High Pressure LiquidComplement ActivationCOVID-19CytokinesGene Expression ProfilingHumansMass SpectrometryMiddle AgedNeutrophil ActivationPlatelet ActivationProteomeBiomarkersBlood ProteinsCytokinesProteomeSuppressor Factors, Immunologic

Identifiers

PMID33376242
PMCPMC7772338
OpenAlexW3114171035

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.