Evidence map›Paper›PMID 31908006›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2020

Neutrophil-endothelial interactions of murine cells is not a good predictor of their interactions in human cells.

Fariborz Soroush, Yuan Tang, Omar Mustafa, Shuang Sun, Qingliang Yang, Laurie E Kilpatrick, Mohammad F Kiani

Open access · bronzeAbstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

16 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Targeting Neutrophil βBiomolecules · 2023
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Mechanical Stimulation: A Crucial Element of Organ-on-Chip Models.Frontiers in bioengineering and biotechnology · 2020
    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

7 authors at 2 institutions in 1 country.

Fariborz SoroushDepartment of Mechanical Engineering, College of Engineering, Temple University, Philadelphia, PA, USA.
Yuan TangDepartment of Bioengineering, College of Engineering, University of Toledo, Toledo, OH, USA.
Omar MustafaDepartment of Bioengineering, College of Engineering, Temple University, Philadelphia, PA, USA.
Shuang SunCenter for Inflammation, Clinical and Translational Lung Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
Qingliang YangDepartment of Mechanical Engineering, College of Engineering, Temple University, Philadelphia, PA, USA.
Laurie E KilpatrickCenter for Inflammation, Clinical and Translational Lung Research, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
Mohammad F KianiDepartment of Mechanical Engineering, College of Engineering, Temple University, Philadelphia, PA, USA.
Temple University · USUniversity of Toledo · US

Funding

Novel Protein Kinase C Targeted Therapy for Acute Lung InjuryR01HL111552 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI KILPATRICK, LAURIE E · 2012 to 2015
$1.5M
Leukocyte-Endothelial Cell Interactions in SepsisR01GM114359 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI KIANI, MOHAMMAD F, KILPATRICK, LAURIE E · 2015 to 2018
$1.2M
Integrating microfluidic, omic, and in silico models to screen therapeutics for sepsisR01GM134701 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI KIANI, MOHAMMAD F, KILPATRICK, LAURIE E · 2019 to 2020
$656k
NHLBI NIH HHS R01 HL111552NIGMS NIH HHS R01 GM114359NIGMS NIH HHS R01 GM134701NIH HHS HL111552
6 · The paper itself

Abstract

All drugs recently developed in rodent models to treat inflammatory disease have failed in clinical trials. We therefore used our novel biomimetic microfluidic assay (bMFA) to determine whether the response of murine cells to inflammatory activation or anti-inflammatory treatment is predictive of the response in human cells. Under physiologically relevant flow conditions, permeability and transendothelial electrical resistance (TEER) of human or mouse lung microvascular endothelial cells (HLMVEC or MLMVEC), and neutrophil-endothelial cell interaction was measured. The differential impact of a protein kinase C-delta TAT peptide inhibitor (PKCδ-i) was also quantified. Permeability of HLMVEC and MLMVEC was similar under control conditions but tumor necrosis factor α (TNF-α) and PKCδ-i had a significantly higher impact on permeability of HLMVEC. TEER across HLMVEC was significantly higher than MLMVEC, but PKCδ-i returned TEER to background levels only in human cells. The kinetics of N-formylmethionyl-leucyl-phenylalanine (fMLP)-mediated neutrophil migration was significantly different between the two species and PKCδ-i was significantly more effective in attenuating human neutrophil migration. However, human and mouse neutrophil adhesion patterns to microvascular endothelium were not significantly different. Surprisingly, while intercellular adhesion molecule 1 (ICAM-1) was significantly upregulated on activated HLMVEC, it was not significantly upregulated on activated MLMVEC. Responses to activation and anti-inflammatory treatment in mice may not always be predictive of their response in humans.

Indexed as

AnimalsCell AdhesionCell CommunicationCell MovementCells, CulturedEndothelial CellsEndothelium, VascularHumansNeutrophilsSepsisTumor Necrosis Factor-alphaTumor Necrosis Factor-alphabiomimeticendothelial cellsinflammationmicrofluidicsmouse model

Identifiers

PMID31908006
PMCPMC7018548
OpenAlexW2998722651

What OpenQuestion holds

Textmetadata
LicenceTDM
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.