Evidence map›Paper›PMID 27381673›Full record

ArticleScientific reports2016

Rapid and label-free microfluidic neutrophil purification and phenotyping in diabetes mellitus.

Han Wei Hou, Chayakorn Petchakup, Hui Min Tay, Zhi Yang Tam, Rinkoo Dalan, Daniel Ek Kwang Chew, King Ho Holden Li, Bernhard O Boehm

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Deep Learning-Assisted Label-Free Parallel Cell Sorting with Digital Microfluidics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
  6. [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
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Neutrophil dysfunction in cystic fibrosis.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2021
    Article
  14. Article
  15. Article
  16. Review
  17. Review
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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

8 authors at 2 institutions in 2 countries.

Han Wei HouLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Chayakorn PetchakupMechanical and Aerospace Engineering, Nanyang Technological University, Singapore.
Hui Min TayLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Zhi Yang TamLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Rinkoo DalanLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Daniel Ek Kwang ChewLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
King Ho Holden LiMechanical and Aerospace Engineering, Nanyang Technological University, Singapore.
Bernhard O BoehmLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Nanyang Technological University · SGTan Tock Seng Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced management of dysmetabolic syndromes such as diabetes will benefit from a timely mechanistic insight enabling personalized medicine approaches. Herein, we present a rapid microfluidic neutrophil sorting and functional phenotyping strategy for type 2 diabetes mellitus (T2DM) patients using small blood volumes (fingerprick ~100 μL). The developed inertial microfluidics technology enables single-step neutrophil isolation (>90% purity) without immuno-labeling and sorted neutrophils are used to characterize their rolling behavior on E-selectin, a critical step in leukocyte recruitment during inflammation. The integrated microfluidics testing methodology facilitates high throughput single-cell quantification of neutrophil rolling to detect subtle differences in speed distribution. Higher rolling speed was observed in T2DM patients (P < 0.01) which strongly correlated with neutrophil activation, rolling ligand P-selectin glycoprotein ligand 1 (PSGL-1) expression, as well as established cardiovascular risk factors (cholesterol, high-sensitive C-reactive protein (CRP) and HbA1c). Rolling phenotype can be modulated by common disease risk modifiers (metformin and pravastatin). Receiver operating characteristics (ROC) and principal component analysis (PCA) revealed neutrophil rolling as an important functional phenotype in T2DM diagnostics. These results suggest a new point-of-care testing methodology, and neutrophil rolling speed as a functional biomarker for rapid profiling of dysmetabolic subjects in clinical and patient-oriented settings.

Indexed as

AdultCell SeparationDiabetes Mellitus, Type 2HumansLeukocyte RollingMicrofluidic Analytical TechniquesMiddle AgedNeutrophilsPhenotypePrincipal Component AnalysisROC CurveSingle-Cell AnalysisYoung Adult

Identifiers

PMID27381673
PMCPMC4933935
OpenAlexW2465728710

What OpenQuestion holds

Textmetadata
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.