Evidence map›Paper›PMID 38203698›Full record

ArticleInternational journal of molecular sciences2023

Heterogeneity in Neutrophil Extracellular Traps from Healthy Human Subjects.

Margaret S Collins, Michelle A Imbrogno, Elizabeth J Kopras, James A Howard, Nanhua Zhang, Elizabeth L Kramer, Kristin M Hudock

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Margaret S CollinsDivision of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Michelle A ImbrognoDivision of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Elizabeth J KoprasDivision of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
James A HowardDepartment of Pharmacology & Systems Physiology, University of Cincinnati, Cincinnati, OH 45267, USA.ORCID 0000-0001-5020-9687
Nanhua ZhangDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA.
Elizabeth L KramerDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA.
Kristin M HudockDivision of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati Medical Center · USUniversity of Cincinnati · US

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
The NET effect: Human CF epithelial responses to NETosisK08HL124191 · NHLBI · UNIVERSITY OF CINCINNATI · PI HUDOCK, KRISTIN MARA · 2017 to 2021
$901k
NCATS NIH HHS UL1 TR001425NHLBI NIH HHS K08 HL124191NIH HHS 1K08HL124191NIH HHS K08HL124191-04S1
6 · The paper itself

Abstract

Neutrophil extracellular traps (NETs), a key component of early defense against microbial infection, are also associated with tissue injury. NET composition has been reported to vary with some disease states, but the composition and variability of NETs across many healthy subjects provide a critical comparison that has not been well investigated. We evaluated NETs from twelve healthy subjects of varying ages isolated from multiple blood draws over a three-and-one-half-year period to delineate the variability in extracellular DNA, protein, enzymatic activities, and susceptibility to protease inhibitors. We calculated correlations for NET constituents and loss of human bronchial epithelial barrier integrity, measured by transepithelial electrical resistance, after NET exposure. We found that although there was some variability within the same subject over time, the mean NET total DNA, dsDNA, protein, LDH, neutrophil elastase (NE), and proteinase 3 (PR3) in isolated NETs were consistent across subjects. NET serine protease activity varied considerably within the same donor from day to day. The mean NET cathepsin G and MPO were significantly different across donors. IL-8 > IL-1RA > G-CSF were the most abundant cytokines in NETs. There was no significant difference in the mean concentration or variability of IL-8, IL-1RA, G-CSF, IL-1α, IL-1β, or TNF-α in different subjects' NETs. NET DNA concentration was correlated with increased NET neutrophil elastase activity and higher NET IL-1RA concentrations. The mean reduction in protease activity by protease inhibitors was significantly different across donors. NET DNA concentration correlated best with reductions in the barrier integrity of human bronchial epithelia. Defining NET concentration by DNA content correlates with other NET components and reductions in NET-driven epithelial barrier dysfunction, suggesting DNA is a reasonable surrogate measurement for these complex structures in healthy subjects.

Indexed as

Extracellular TrapsDNAGranulocyte Colony-Stimulating FactorHealthy VolunteersHumansInterleukin 1 Receptor Antagonist ProteinInterleukin-8Leukocyte ElastaseProtease InhibitorsDNAGranulocyte Colony-Stimulating FactorInterleukin 1 Receptor Antagonist ProteinInterleukin-8Leukocyte ElastaseProtease InhibitorsDNANET heterogeneityneutrophil elastaseneutrophil extracellular traps

Identifiers

PMID38203698
PMCPMC10779146
OpenAlexW4390467403

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.