Evidence map›Paper›PMID 29577083›Full record

ArticlemSphere

Human Antibody Responses to Emerging Mayaro Virus and Cocirculating Alphavirus Infections Examined by Using Structural Proteins from Nine New and Old World Lineages.

Jessica L Smith, Christine L Pugh, Emily D Cisney, Sarah L Keasey, Carolina Guevara, Julia S Ampuero, Guillermo Comach, Doris Gomez, Margarita Ochoa-Diaz, Robert D Hontz and 1 more

Open access · goldAbstract read
In one paragraph

Article in mSphere. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Performance Evaluation of VIDASDiagnostics (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Article
  7. Implementation ofHeliyon · 2021
    Article
  8. Article
  9. Review
  10. Mayaro virus in Latin America and the Caribbean.Revista panamericana de salud publica = Pan American journal of public health · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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 at 4 institutions in 4 countries.

Jessica L SmithMolecular and Translational Sciences Division, Army Medical Research Institute of Infectious Diseases, Frederick, Maryland, USA.
Christine L PughMolecular and Translational Sciences Division, Army Medical Research Institute of Infectious Diseases, Frederick, Maryland, USA.
Emily D CisneyMolecular and Translational Sciences Division, Army Medical Research Institute of Infectious Diseases, Frederick, Maryland, USA.
Sarah L KeaseyMolecular and Translational Sciences Division, Army Medical Research Institute of Infectious Diseases, Frederick, Maryland, USA.
Carolina GuevaraU.S. Naval Medical Research Unit No. 6 (NAMRU-6), Lima, Peru.
Julia S AmpueroU.S. Naval Medical Research Unit No. 6 (NAMRU-6), Lima, Peru.
Guillermo ComachLaboratorio Regional de Diagnostico e Investigación del Dengue y Otras Enfermedades Virales (LARDIDEV), Instituto de Investigaciones Biomédicas de la Universidad de Carabobo (BIOMED.UC), Maracay, Aragua, Venezuela.
Doris GomezUniversidad de Cartagena, Doctorado en Medicina Tropical, Grupo UNIMOL, Cartagena, Colombia.
Margarita Ochoa-DiazUniversidad de Cartagena, Doctorado en Medicina Tropical, Grupo UNIMOL, Cartagena, Colombia.
Robert D HontzU.S. Naval Medical Research Unit No. 6 (NAMRU-6), Lima, Peru.
Robert G UlrichMolecular and Translational Sciences Division, Army Medical Research Institute of Infectious Diseases, Frederick, Maryland, USA.
United States Army Medical Research Institute of Infectious Diseases · USNaval Medical Research Unit Six · PEUniversity of Cartagena · COUniversity of Carabobo · VE

Funding

Integrated polymer microfluidic device for multiplex diagnosis of viral infectionR01AI096215 · NIAID · GENEVA FOUNDATION · PI ULRICH, ROBERT G. · 2011 to 2015
$4.4M
NIAID NIH HHS R01 AI096215
6 · The paper itself

Abstract

Mayaro virus (MAYV), Venezuelan equine encephalitis virus (VEEV), and chikungunya virus (CHIKV) are vector-borne alphaviruses that cocirculate in South America. Human infections by these viruses are frequently underdiagnosed or misdiagnosed, especially in areas with high dengue virus endemicity. Disease may progress to debilitating arthralgia (MAYV, CHIKV), encephalitis (VEEV), and death. Few standardized serological assays exist for specific human alphavirus infection detection, and antigen cross-reactivity can be problematic. Therefore, serological platforms that aid in the specific detection of multiple alphavirus infections will greatly expand disease surveillance for these emerging infections. In this study, serum samples from South American patients with PCR- and/or isolation-confirmed infections caused by MAYV, VEEV, and CHIKV were examined by using a protein microarray assembled with recombinant capsid, envelope protein 1 (E1), and E2 from nine New and Old World alphaviruses. Notably, specific antibody recognition of E1 was observed only with MAYV infections, whereas E2 was specifically targeted by antibodies from all of the alphavirus infections investigated, with evidence of cross-reactivity to E2 of o'nyong-nyong virus only in CHIKV-infected patient serum samples. Our findings suggest that alphavirus structural protein microarrays can distinguish infections caused by MAYV, VEEV, and CHIKV and that this multiplexed serological platform could be useful for high-throughput disease surveillance.

Indexed as

alphavirushumoral immunityprotein microarrayviral antigen

Identifiers

PMID29577083
PMCPMC5863033
OpenAlexW2791221035

What OpenQuestion holds

Textmetadata
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.