Evidence map›Paper›PMID 27098369›Full record

ArticleScientific reports2016

Circulating microRNA profiles of Ebola virus infection.

Janice Duy, Jeffrey W Koehler, Anna N Honko, Randal J Schoepp, Nadia Wauquier, Jean-Paul Gonzalez, M Louise Pitt, Eric M Mucker, Joshua C Johnson, Aileen O'Hearn and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
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  4. Article
  5. Transcriptional Profiling of Filovirus-Infected Nonhuman Primate Samples.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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  7. Article
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  9. A Review of the Interaction between miRNAs and Ebola Virus.International journal of molecular and cellular medicine · 2024
    Review
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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

13 authors at 2 institutions in 1 country.

Janice DuyDiagnostic Systems Division, U.S. Army Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, MD, USA.
Jeffrey W KoehlerDiagnostic Systems Division, U.S. Army Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, MD, USA.
Anna N HonkoVirology Division, U.S. Army Medical Institute of Infectious Diseases, Fort Detrick, Frederick, MD, USA.
Randal J SchoeppDiagnostic Systems Division, U.S. Army Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, MD, USA.
Nadia WauquierMetabiota, Kenema, Sierra Leone.
Jean-Paul GonzalezMetabiota, Washington, DC, USA.
M Louise PittVirology Division, U.S. Army Medical Institute of Infectious Diseases, Fort Detrick, Frederick, MD, USA.
Eric M MuckerVirology Division, U.S. Army Medical Institute of Infectious Diseases, Fort Detrick, Frederick, MD, USA.
Joshua C JohnsonVirology Division, U.S. Army Medical Institute of Infectious Diseases, Fort Detrick, Frederick, MD, USA.
Aileen O'HearnDiagnostic Systems Division, U.S. Army Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, MD, USA.
James BanguraMetabiota, Kenema, Sierra Leone.
Moinya CoomberMetabiota, Kenema, Sierra Leone.
Timothy D MinogueDiagnostic Systems Division, U.S. Army Medical Research Institute of Infectious Diseases, Fort Detrick, Frederick, MD, USA.
United States Army Medical Research Institute of Infectious Diseases · USMetabiota (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of Ebola virus (EBOV) infection is essential to halting transmission and adjudicating appropriate treatment. However, current methods rely on viral identification, and this approach can misdiagnose presymptomatic and asymptomatic individuals. In contrast, disease-driven alterations in the host transcriptome can be exploited for pathogen-specific diagnostic biomarkers. Here, we present for the first time EBOV-induced changes in circulating miRNA populations of nonhuman primates (NHPs) and humans. We retrospectively profiled longitudinally-collected plasma samples from rhesus macaques challenged via intramuscular and aerosol routes and found 36 miRNAs differentially present in both groups. Comparison of miRNA abundances to viral loads uncovered 15 highly correlated miRNAs common to EBOV-infected NHPs and humans. As proof of principle, we developed an eight-miRNA classifier that correctly categorized infection status in 64/74 (86%) human and NHP samples. The classifier identified acute infections in 27/29 (93.1%) samples and in 6/12 (50%) presymptomatic NHPs. These findings showed applicability of NHP-derived miRNAs to a human cohort, and with additional research the resulting classifiers could impact the current capability to diagnose presymptomatic and asymptomatic EBOV infections.

Indexed as

AdolescentAdultAnimalsBiomarkersCluster AnalysisComputational BiologyDisease Models, AnimalEbolavirusFemaleGene Expression ProfilingHemorrhagic Fever, EbolaHost-Pathogen InteractionsHumansMacaca mulattaMaleMicroRNAsBiomarkersMicroRNAs

Identifiers

PMID27098369
PMCPMC4838880
OpenAlexW2339273725

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.