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Related Concept Videos

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Related Experiment Video

Updated: Jan 14, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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Identification of Clinically Distinct Clusters in Patients With Severe COPD Using Circulating Blood Cell Population

Pauline J M Kuks1,2, Jorine E Hartman1,2, Else A M D Ter Haar1,2

  • 1Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.

Respirology (Carlton, Vic.)
|October 20, 2025
PubMed
Summary

Advanced immune cell analysis in severe COPD reveals distinct inflammatory profiles beyond simple cell counts. These profiles correlate with disease severity and exacerbation rates, offering new insights for patient phenotyping.

Keywords:
COPDbiomarkerscell population datacluster analysisinflammatory activity

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Area of Science:

  • Pulmonary Medicine
  • Immunology
  • Hematology

Background:

  • Peripheral blood cell counts are established biomarkers in Chronic Obstructive Pulmonary Disease (COPD).
  • However, standard cell counts may not fully capture the complexity of disease activity.
  • Advanced hematology analyzers offer deeper insights into immune cell populations and activation states.

Purpose of the Study:

  • To investigate if immune cell activation status, in addition to cell counts, provides complementary insights into the clinical heterogeneity of severe COPD.
  • To explore the utility of Sysmex XN-Series analyzer data for COPD phenotyping.

Main Methods:

  • Analysis of 24 Sysmex-derived systemic blood parameters in 499 patients with severe COPD.
  • Utilized Self-Organising Maps for clustering blood cell population data.
  • Correlated identified clusters with clinical characteristics like emphysema severity and lung function.

Main Results:

  • Four distinct clusters with varying inflammatory profiles and clinical characteristics were identified.
  • Clusters correlated with emphysema severity, lung function (RV/TLC ratio), and exacerbation rates.
  • One cluster showed high inflammatory cell counts and activity linked to frequent exacerbations, while another had low eosinophils.

Conclusions:

  • Cell population data, including activation markers, can identify clinically relevant inflammatory profiles in severe COPD.
  • This approach provides information beyond traditional absolute cell counts.
  • Immune cell activation status offers added value for refining COPD phenotyping and understanding disease heterogeneity.