Evidence map›Paper›PMID 37397793›Full record

ArticleBio-protocol2023

A New Methodology for the Quantification of Neutrophil Extracellular Traps in Patient Plasma.

Bharati Matta, Jenna Battaglia, Betsy J Barnes

Abstract read
In one paragraph

Article in Bio-protocol, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Review
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  10. 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

3 authors.

Bharati MattaCenter for Autoimmune Musculoskeletal and Hematopoietic Diseases, Feinstein Institutes for Medical Research, Manhasset, New York, USA.
Jenna BattagliaCenter for Autoimmune Musculoskeletal and Hematopoietic Diseases, Feinstein Institutes for Medical Research, Manhasset, New York, USA.
Betsy J BarnesCenter for Autoimmune Musculoskeletal and Hematopoietic Diseases, Feinstein Institutes for Medical Research, Manhasset, New York, USA.

Funding

IRF5 and Macrophage Activation Syndrome in systemic Juvenile Idiopathic ArthritisR01AR076242 · NIAMS · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI BARNES, BETSY J, HAMERMAN, JESSICA A · 2019 to 2023
$3.3M
NIAMS NIH HHS R01 AR076242
6 · The paper itself

Abstract

Neutrophil extracellular traps (NETs) are web-like structures made up of decondensed chromatin fibers along with neutrophil granular proteins that are extruded by neutrophils after activation or in response to foreign microorganisms. NETs have been associated with autoimmune and inflammatory diseases such as systemic lupus erythematosus (SLE), rheumatoid arthritis, coronavirus disease 2019 (COVID-19), and others. There are reliable methods available to quantitate NETs from neutrophils, but their accurate quantification in patient plasma or serum remains a challenge. We developed a highly sensitive ELISA to detect NETs in serum/plasma and designed a novel smear immunofluorescence assay to detect NETs in as little as 1 μL of serum/plasma. We further validated our technology on plasma samples from SLE patients and healthy donors that carry interferon regulatory factor 5 genetic risk. The multiplex ELISA combines the use of three antibodies against myeloperoxidase (MPO), citrullinated histone H3 (CitH3), and DNA to detect the NET complexes with higher specificities. The immunofluorescence smear assay can visually detect intact structures of NETs in 1 μL of serum/plasma and provide similar results that correlate with findings from the multiplex ELISA. Furthermore, the smear assay is a relatively simple, inexpensive, and quantifiable method of NET detection for small volumes.

Indexed as

ELISAImmunofluorescenceNETosisQuantificationSmear assay

Identifiers

PMID37397793
PMCPMC10308188

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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.