Evidence map›Paper›PMID 35094355›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Methods for Quantifying Neutrophil Extracellular Traps on Biomaterials.

Allison E Fetz, William E King, Benjamin A Minden-Birkenmaier, Gary L Bowlin

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  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

4 authors.

Allison E FetzDepartment of Biomedical Engineering, University of Memphis, Memphis, TN, USA.
William E KingDepartment of Biomedical Engineering, University of Memphis, Memphis, TN, USA.
Benjamin A Minden-BirkenmaierDepartment of Biomedical Engineering, University of Memphis, Memphis, TN, USA.
Gary L BowlinDepartment of Biomedical Engineering, University of Memphis, Memphis, TN, USA. glbowlin@memphis.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophils rapidly accumulate at sites of inflammation, including biomaterial implantation sites, where they can modulate the microenvironment toward repair through a variety of functions, including superoxide generation, granule release, and extrusion of neutrophil extracellular traps (NETs). NETs are becoming increasing implicated as a central player in the host response to a biomaterial, and as such, there is a need for reliable in vitro methods to evaluate the relative degree of NETs and quantify NETs on the surface of biomaterials. Such methods should be relatively high throughput and minimize sampling bias. In this chapter, we describe two procedures, (1) fluorescent image analysis and (2) a NETs-based ELISA, both of which have been specifically optimized to quantify NETs generated from human neutrophils on electrospun polydioxanone templates. Both methods are valid and also compatible with tissue culture plastic, but have a variety of advantages and disadvantages. Therefore, both methods can be used to concomitantly study NETs on the surface of a biomaterial. Finally, while these methods were developed for electrospun templates in a 96-well cell culture plate, they may be easily adapted to a large scale and for other biomaterials, including but not limited to metallics, ceramics, and natural and synthetic polymers.

Indexed as

Extracellular TrapsBiocompatible MaterialsHumansInflammationNeutrophilsBiocompatible MaterialsBiomaterialsElectrospun templateELISAImage analysisNeutrophil extracellular traps (NETs)NeutrophilsQuantification

Identifiers

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.