Evidence map›Paper›PMID 32040491›Full record

ArticlePloS one2020

A fluorescent plasmonic biochip assay for multiplex screening of diagnostic serum antibody targets in human Lyme disease.

Eunice Chou, Erica Lasek-Nesselquist, Benjamin Taubner, Arturo Pilar, Ernest Guignon, William Page, Yi-Pin Lin, Nathaniel C Cady

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
2.8field-weighted citation impact, top 10% 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, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Modified ELISA for Ultrasensitive Diagnosis.Journal of clinical medicine · 2021
    Review
  6. Article
  7. Quantitative multiplexed strategies for human Lyme disease serological testing.Experimental biology and medicine (Maywood, N.J.) · 2021
    Review
  8. Article
  9. Review
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 4 institutions in 1 country.

Eunice ChouCollege of Nanoscale Science & Engineering, State University of New York Polytechnic Institute, Albany, New York, United States of America.ORCID 0000-0002-1015-8704
Erica Lasek-NesselquistBioinformatics Core, Wadsworth Center, New York State Department of Health, Albany, New York, United States of America.
Benjamin TaubnerDivision of Infectious Diseases, Wadsworth Center, New York State Department of Health, Albany, New York, United States of America.
Arturo PilarCiencia, Inc., East Hartford, Connecticut, United States of America.
Ernest GuignonCiencia, Inc., East Hartford, Connecticut, United States of America.
William PageCiencia, Inc., East Hartford, Connecticut, United States of America.
Yi-Pin LinDivision of Infectious Diseases, Wadsworth Center, New York State Department of Health, Albany, New York, United States of America.ORCID 0000-0002-5240-2031
Nathaniel C CadyCollege of Nanoscale Science & Engineering, State University of New York Polytechnic Institute, Albany, New York, United States of America.
Ciencia (United States) · USNew York State Department of Health · USState University of New York · USSUNY Polytechnic Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lyme disease (LD) diagnosis using the current two-tier algorithm is constrained by low sensitivity for early-stage infection and ambiguity in determining treatment response. We recently developed a protein microarray biochip that measures diagnostic serum antibody targets using grating-coupled fluorescent plasmonics (GC-FP) technology. This strategy requires microliters of blood serum to enable multiplexed biomarker screening on a compact surface and generates quantitative results that can be further processed for diagnostic scoring. The GC-FP biochip was used to detect serum antibodies in patients with active and convalescent LD, as well as various negative controls. We hypothesized that the quantitative, high-sensitivity attributes of the GC-FP approach permit: 1) screening of antibody targets predictive for LD status, and 2) development a diagnostic algorithm that is more sensitive, specific, and informative than the standard ELISA and Western blot assays. Notably, our findings led to a diagnostic algorithm that may be more sensitive than the current standard for detecting early LD, while maintaining 100% specificity. We further show that analysis of relative antibody levels to predict disease status, such as in acute and convalescent stages of infection, is possible with a highly sensitive and quantitative platform like GC-FP. The results from this study add to the urgent conversation regarding better diagnostic strategies and more effective treatment for patients affected by tick-borne disease.

Indexed as

FluorescenceLab-On-A-Chip DevicesAntibodies, BacterialHumansLyme DiseaseMass ScreeningTime FactorsAntibodies, Bacterial

Identifiers

PMID32040491
PMCPMC7010292
OpenAlexW3006336082

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.