Evidence map›Paper›PMID 33093502›Full record

ArticleScientific reports2020

An ultra-high-density protein microarray for high throughput single-tier serological detection of Lyme disease.

Vasanth Jayaraman, Karthik Krishna, Yuanyuan Yang, Karenah J Rajasekaran, Yuzheng Ou, Tianhao Wang, Kang Bei, Hari Krishnan Krishnamurthy, John J Rajasekaran, Alex J Rai and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 12 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

11 authors at 2 institutions in 1 country.

Vasanth JayaramanVibrant Sciences LLC., San Carlos, CA, USA.
Karthik KrishnaVibrant Sciences LLC., San Carlos, CA, USA.
Yuanyuan YangVibrant America LLC., San Carlos, CA, USA.
Karenah J RajasekaranVibrant America LLC., San Carlos, CA, USA.
Yuzheng OuVibrant America LLC., San Carlos, CA, USA.
Tianhao WangVibrant Sciences LLC., San Carlos, CA, USA.
Kang BeiVibrant Sciences LLC., San Carlos, CA, USA.
Hari Krishnan KrishnamurthyVibrant Sciences LLC., San Carlos, CA, USA. hari@vibrantsci.com.
John J RajasekaranVibrant Sciences LLC., San Carlos, CA, USA.
Alex J RaiDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA.
Daniel A GreenDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA. dag2149@cumc.columbia.edu.
Vibrant Data (United States) · USColumbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current serological immunoassays have inherent limitations for certain infectious diseases such as Lyme disease, a bacterial infection caused by Borrelia burgdorferi in North America. Here we report a novel method of manufacturing high-density multiplexed protein microarrays with the capacity to detect low levels of antibodies accurately from small blood volumes in a fully automated system. A panel of multiple serological markers for Lyme disease are measured using a protein microarray system, Lyme Immunochip, in a single step but interpreted adhering to the standard two-tiered testing algorithm (enzyme immunoassay followed by Western blot). Furthermore, an enhanced IgM assay was supplemented to improve the test's detection sensitivity for early Lyme disease. With a training cohort (n = 40) and a blinded validation cohort (n = 90) acquired from CDC, the Lyme Immunochip identified a higher proportion of Lyme disease patients than the two-tiered testing (82.4% vs 70.6% in the training set, 66.7% vs 60.0% in the validation set, respectively). Additionally, the Immunochip improved sensitivity to 100% while having a lower specificity of 95.2% using a set of investigational antigens which are being further evaluated with a large cohort of blinded samples from the CDC and Columbia University. This universal microarray platform provides an unprecedented opportunity to resolve a broad range of issues with diagnostic tests, including multiplexing, workflow simplicity, and reduced turnaround time and cost.

Indexed as

AlgorithmsBacterial ProteinsBiomarkersBorrelia burgdorferiCase-Control StudiesCohort StudiesHigh-Throughput Screening AssaysHumansLyme DiseaseProtein Array AnalysisSerologic TestsBacterial ProteinsBiomarkers

Identifiers

PMID33093502
PMCPMC7581523
OpenAlexW3093689302

What OpenQuestion holds

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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.