Evidence map›Paper›PMID 29453420›Full record

ArticleScientific reports2018

A multiplex serologic platform for diagnosis of tick-borne diseases.

Rafal Tokarz, Nischay Mishra, Teresa Tagliafierro, Stephen Sameroff, Adrian Caciula, Lokendrasingh Chauhan, Jigar Patel, Eric Sullivan, Azad Gucwa, Brian Fallon and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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

51 citing papers in PubMed.

  1. Article
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  9. Article
  10. Identification ofInfection and immunity · 2024
    Article
  11. Article
  12. Pathogen Discovery in the Post-COVID Era.Pathogens (Basel, Switzerland) · 2024
    Review
  13. Article
  14. Tick exposure biomarkers: A One Health approach to new tick surveillance tools.Current research in parasitology & vector-borne diseases · 2024
    Article
  15. Review
  16. Epitope Mapping of BmpA and BBK32ACS infectious diseases · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. 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

16 authors.

Rafal TokarzCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA. rt2249@columbia.edu.
Nischay MishraCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Teresa TagliafierroCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Stephen SameroffCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Adrian CaciulaCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Lokendrasingh ChauhanCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
Jigar PatelRoche Sequencing Solutions, Madison, WI, USA.
Eric SullivanRoche Sequencing Solutions, Madison, WI, USA.
Azad GucwaDepartment of Biology, Farmingdale State College, Farmingdale, NY, USA.
Brian FallonLyme and Tick-borne Diseases Research Center, Columbia University, New York, NY, USA.
Marc GolightlyDepartment of Pathology, Stony Brook University, New York, NY, USA.
Claudia MolinsDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, USA.
Martin SchrieferDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, USA.
Adriana MarquesLaboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-5403-4551
Thomas BrieseCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
W Ian LipkinCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.

Funding

Translational CoreU19AI109761 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARIC, RALPH S · 2014 to 2018
$32.6M
Assessment Of Patients With Borrelia InfectionZIAAI000695 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI MARQUES, ADRIANA R · 2009 to 2025
$8.8M
NIAID NIH HHS U19 AI109761
6 · The paper itself

Abstract

Tick-borne diseases are the most common vector-borne diseases in the United States, with serology being the primary method of diagnosis. We developed the first multiplex, array-based assay for serodiagnosis of tick-borne diseases called the TBD-Serochip. The TBD-Serochip was designed to discriminate antibody responses to 8 major tick-borne pathogens present in the United States, including Anaplasma phagocytophilum, Babesia microti, Borrelia burgdorferi, Borrelia miyamotoi, Ehrlichia chaffeensis, Rickettsia rickettsii, Heartland virus and Powassan virus. Each assay contains approximately 170,000 12-mer linear peptides that tile along the protein sequence of the major antigens from each agent with 11 amino acid overlap. This permits accurate identification of a wide range of specific immunodominant IgG and IgM epitopes that can then be used to enhance diagnostic accuracy and integrate differential diagnosis into a single assay. To test the performance of the TBD-Serochip, we examined sera from patients with confirmed Lyme disease, babesiosis, anaplasmosis, and Powassan virus disease. We identified a wide range of specific discriminatory epitopes that facilitated accurate diagnosis of each disease. We also identified previously undiagnosed infections. Our results indicate that the TBD-Serochip is a promising tool for a differential diagnosis not available with currently employed serologic assays for TBDs.

Indexed as

Serologic TestsEncephalitis Viruses, Tick-BorneHumansTick-Borne Diseases

Identifiers

PMID29453420
PMCPMC5816631

What OpenQuestion holds

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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.