Evidence map›Paper›PMID 35446128›Full record

ArticlemBio2022

Plasma Proteomic Analysis Distinguishes Severity Outcomes of Human Ebola Virus Disease.

Arthur Viodé, Kinga K Smolen, Benoit Fatou, Zainab Wurie, Patrick Van Zalm, Mandy Kader Konde, Balla Moussa Keita, Richard Amento Ablam, Eleanor N Fish, Hanno Steen

Open access · goldAbstract read
In one paragraph

Article in mBio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 29 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

10 authors at 3 institutions in 2 countries.

Arthur Viodé *Department of Pathology, Boston Children's Hospital, Boston, Massachusetts, USA.
Kinga K Smolen *Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.
Benoit FatouDepartment of Pathology, Boston Children's Hospital, Boston, Massachusetts, USA.
Zainab WurieDepartment of Pathology, Boston Children's Hospital, Boston, Massachusetts, USA.
Patrick Van ZalmDepartment of Pathology, Boston Children's Hospital, Boston, Massachusetts, USA.
Mandy Kader KondeSustainable Health Foundation (FOSAD), Conakry, Guinea.
Balla Moussa KeitaSustainable Health Foundation (FOSAD), Conakry, Guinea.
Richard Amento AblamSustainable Health Foundation (FOSAD), Conakry, Guinea.
Eleanor N Fish *Toronto General Hospital Research Institute, University Health Network, Toronto, Canada.
Hanno Steen *Department of Pathology, Boston Children's Hospital, Boston, Massachusetts, USA.
Boston Children's Hospital · USHarvard University · USUniversity of Toronto · CA

Funding

High-throughput proteomics using submicroliter amounts of plasma for comprehensive assessment of the immune statusU24AI152179 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI STEEN, HANNO · 2020 to 2024
$6.3M
CIHR 340408NIAID NIH HHS U24 AI152179
6 · The paper itself

Abstract

Ebola virus (EBV) disease (EVD) is a highly virulent systemic disease characterized by an aggressive systemic inflammatory response and impaired vascular and coagulation systems, often leading to uncontrolled hemorrhaging and death. In this study, the proteomes of 38 sequential plasma samples from 12 confirmed EVD patients were analyzed. Of these 12 cases, 9 patients received treatment with interferon beta 1a (IFN-β-1a), 8 survived EVD, and 4 died; 2 of these 4 fatalities had received IFN-β-1a. Our analytical strategy combined three platforms targeting different plasma subproteomes: a liquid chromatography-mass spectrometry (LC-MS)-based analysis of the classical plasma proteome, a protocol that combines the depletion of abundant plasma proteins and LC-MS to detect less abundant plasma proteins, and an antibody-based cytokine/chemokine multiplex assay. These complementary platforms provided comprehensive data on 1,000 host and viral proteins. Examination of the early plasma proteomes revealed protein signatures that differentiated between fatalities and survivors. Moreover, IFN-β-1a treatment was associated with a distinct protein signature. Next, we examined those proteins whose abundances reflected viral load measurements and the disease course: resolution or progression. Our data identified a prognostic 4-protein biomarker panel (histone H1-5, moesin, kininogen 1, and ribosomal protein L35 [RPL35]) that predicted EVD outcomes more accurately than the onset viral load.

Indexed as

EbolavirusHemorrhagic Fever, EbolaBiomarkersBlood ProteinsCytokinesDisease OutbreaksHumansProteomeProteomicsBiomarkersBlood ProteinsCytokinesProteomeEbola virusEbola virus diseaseinterferonmass spectrometryplasma proteome

Identifiers

PMID35446128
PMCPMC9239184
OpenAlexW4224254929

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.