Evidence map›Paper›PMID 24711384›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Characterizing asthma from a drop of blood using neutrophil chemotaxis.

Eric Karl-Heinz Sackmann, Erwin Berthier, Elizabeth A Schwantes, Paul S Fichtinger, Michael D Evans, Laura L Dziadzio, Anna Huttenlocher, Sameer K Mathur, David J Beebe

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02411318 (Influence of Lifestyle Factors on Neutrophil Migration Pilot Study), which is not on this map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.7field-weighted citation impact, top 2% 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.

NCT02411318 nacompletednot on this map

Influence of Lifestyle Factors on Neutrophil Migration Pilot Study

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2014 to 2019Enrolled47ConditionsNeutrophil Chemotactic ResponseArmsExercise, ProLab 200mg caffeine capsule, Ethanol ingestion, Glucose Tolerance Drink
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. [Inertial label-free sorting and chemotaxis of polymorphonuclear neutrophil in sepsis patients based on microfluidic technology].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Frontiers in pharmacology · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Microfluidic devices for neutrophil chemotaxis studies.Journal of translational medicine · 2020
    Review
  16. Review
  17. Article
  18. Review
  19. MBiosensors & bioelectronics · 2018
    Article
  20. Neutrophil Chemotaxis in One Droplet of Blood Using Microfluidic Assays.Methods in molecular biology (Clifton, N.J.) · 2018
    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

9 authors at 5 institutions in 2 countries.

Eric Karl-Heinz SackmannMaterials Science Program, Department of Biomedical Engineering, Wisconsin Institute for Medical Research, Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, and Departments of Biostatistics and Medical Informatics and Pediatrics, University of Wisconsin-Madison, Madison, WI 53705.
Erwin Berthier
Elizabeth A Schwantes
Paul S Fichtinger
Michael D Evans
Laura L Dziadzio
Anna Huttenlocher
Sameer K Mathur
David J Beebe
Pulmonary and Allergy Associates · USUniversity of Wisconsin–Madison · USMaterials Science & Engineering · AUMayaterials (United States) · USWisconsin Institutes for Discovery · US

Funding

Wisconsin Allergy Research Training (WISCART) ProgramT32AI007635 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern, DANIEL J JACKSON · 2000 to 2026
$6.5M
Understanding cell migration through microscale in vitro modelsR01EB010039 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI BEEBE, DAVID J, HUTTENLOCHER, ANNA · 2011 to 2014
$1.7M
NHLBI NIH HHS HL088584NIAID NIH HHS T32 AI007635NIBIB NIH HHS R01 EB010039
6 · The paper itself

Abstract

Asthma is a chronic inflammatory disorder that affects more than 300 million people worldwide. Asthma management would benefit from additional tools that establish biomarkers to identify phenotypes of asthma. We present a microfluidic solution that discriminates asthma from allergic rhinitis based on a patient's neutrophil chemotactic function. The handheld diagnostic device sorts neutrophils from whole blood within 5 min, and generates a gradient of chemoattractant in the microchannels by placing a lid with chemoattractant onto the base of the device. This technology was used in a clinical setting to assay 34 asthmatic (n = 23) and nonasthmatic, allergic rhinitis (n = 11) patients to establish domains for asthma diagnosis based on neutrophil chemotaxis. We determined that neutrophils from asthmatic patients migrate significantly more slowly toward the chemoattractant compared with nonasthmatic patients (P = 0.002). Analysis of the receiver operator characteristics of the patient data revealed that using a chemotaxis velocity of 1.55 μm/min for asthma yields a diagnostic sensitivity and specificity of 96% and 73%, respectively. This study identifies neutrophil chemotaxis velocity as a potential biomarker for asthma, and we demonstrate a microfluidic technology that was used in a clinical setting to perform these measurements.

Indexed as

Chemotaxis, LeukocyteAdultAsthmaCell SeparationExhalationFemaleHumansMaleMicrofluidicsMiddle AgedNeutrophilsNitric OxideYoung AdultNitric OxidediagnosticsKOALAmicrofluidicspassive pumping

Identifiers

PMID24711384
PMCPMC4000787
OpenAlexW2095005556

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.