Evidence map›Paper›PMID 37064248›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Development of a biomarker signature using grating-coupled fluorescence plasmonic microarray for diagnosis of MIS-C.

Michele Maltz-Matyschsyk, Clare K Melchiorre, Katherine W Herbst, Alexander H Hogan, Kristina Dibble, Brandon O'Sullivan, Joerg Graf, Aishwarya Jadhav, David A Lawrence, William T Lee and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

15 authors at 5 institutions in 1 country.

Michele Maltz-MatyschsykDepartment of Molecular and Cell Biology, University of Connecticut, Storrs, CT, United States.
Clare K MelchiorreDepartment of Molecular and Cell Biology, University of Connecticut, Storrs, CT, United States.
Katherine W HerbstConnecticut Children's Medical Center, Hartford, CT, United States.
Alexander H HoganConnecticut Children's Medical Center, Hartford, CT, United States.
Kristina DibbleDepartment of Molecular and Cell Biology, University of Connecticut, Storrs, CT, United States.
Brandon O'SullivanDepartment of Molecular and Cell Biology, University of Connecticut, Storrs, CT, United States.
Joerg GrafDepartment of Molecular and Cell Biology, University of Connecticut, Storrs, CT, United States.
Aishwarya JadhavWadsworth Center, New York State Department of Health, Albany, NY, United States.
David A LawrenceWadsworth Center, New York State Department of Health, Albany, NY, United States.
William T LeeWadsworth Center, New York State Department of Health, Albany, NY, United States.
Kyle J CarsonWadsworth Center, New York State Department of Health, Albany, NY, United States.
Justin D RadolfUniversity of Connecticut Health Center, Farmington, CT, United States.
Juan C SalazarConnecticut Children's Medical Center, Hartford, CT, United States.
Michael A LynesDepartment of Molecular and Cell Biology, University of Connecticut, Storrs, CT, United States.
Connecticut Children’s COVID Collaborative
University of Connecticut · USNew York State Department of Health · USConnecticut Children's Medical Center · USUConn Health · USWadsworth Center · US

Funding

Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)R33HD105613 · NICHD · CONNECTICUT CHILDREN'S MEDICAL CENTER · PI LAWRENCE, DAVID A, LYNES, MICHAEL A · 2023 to 2023
$3.2M
Identifying biomarker signatures of prognostic value for Multisystem Inflammatory Syndrome in Children (MIS-C)R61HD105613 · NICHD · CONNECTICUT CHILDREN'S MEDICAL CENTER · PI LAWRENCE, DAVID A, LYNES, MICHAEL A · 2021 to 2022
$1.9M
NICHD NIH HHS R33 HD105613NICHD NIH HHS R61 HD105613
6 · The paper itself

Abstract

Multisystem inflammatory syndrome in children (MIS-C) is a rare but serious condition that can develop 4-6 weeks after a school age child becomes infected by SARS-CoV-2. To date, in the United States more than 8,862 cases of MIS-C have been identified and 72 deaths have occurred. This syndrome typically affects children between the ages of 5-13; 57% are Hispanic/Latino/Black/non-Hispanic, 61% of patients are males and 100% have either tested positive for SARS-CoV-2 or had direct contact with someone with COVID-19. Unfortunately, diagnosis of MIS-C is difficult, and delayed diagnosis can lead to cardiogenic shock, intensive care admission, and prolonged hospitalization. There is no validated biomarker for the rapid diagnosis of MIS-C. In this study, we used Grating-coupled Fluorescence Plasmonic (GCFP) microarray technology to develop biomarker signatures in pediatric salvia and serum samples from patients with MIS-C in the United States and Colombia. GCFP measures antibody-antigen interactions at individual regions of interest (ROIs) on a gold-coated diffraction grating sensor chip in a sandwich immunoassay to generate a fluorescent signal based on analyte presence within a sample. Using a microarray printer, we designed a first-generation biosensor chip with the capability of capturing 33 different analytes from 80

Indexed as

biomarkersCOVID-19diagnosticmicroarrayMIS-C

Identifiers

PMID37064248
PMCPMC10102909
OpenAlexW4362465489

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.