4.5 Article

Human myeloid-derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data

期刊

EUROPEAN JOURNAL OF IMMUNOLOGY
卷 51, 期 7, 页码 1785-1791

出版社

WILEY
DOI: 10.1002/eji.202049141

关键词

Flow cytometry; Multidimensional clustering; Myeloid‐ derived suppressor cells; Sepsis; Septic shock

资金

  1. European Regional Development Fund-Project ENOCH [CZ.02.1.01/0.0/0.0/16_019/0000868]
  2. Ministry of Health of the Czech Republic [NV18-06-00529]
  3. DRO (Institute of Hematology and Blood Transfusion) [00023736]
  4. European Regional Development FundProject Support of MSCA IF fellowships at FNUSA-ICRC [CZ.02.2.69/0.0/0.0/19_074/0016274]

向作者/读者索取更多资源

Myeloid-derived suppressor cells (MDSCs) play important roles in immune responses during sepsis. Using comprehensive flow cytometry phenotyping and unsupervised clustering, three human MDSC subsets were identified in severe sepsis patients, long-term survivors, and controls. Monocytic M-MDSCs and polymorphonuclear PMN-MDSCs expand during acute sepsis, with high levels of PMN-MDSCs in long-term survivors, suggesting a potential role in sepsis-related complications.
Myeloid-derived suppressor cells (MDSCs) are important regulators of immune processes during sepsis in mice. However, confirming these observations in humans has been challenging due to the lack of defined preparation protocols and phenotyping schemes for MDSC subsets. Thus, it remains unclear how MDSCs are involved in acute sepsis and whether they have a role in the long-term complications seen in survivors. Here, we combined comprehensive flow cytometry phenotyping with unsupervised clustering using self-organizing maps to identify the three recently defined human MDSC subsets in blood from severe sepsis patients, long-term sepsis survivors, and age-matched controls. We demonstrated the expansion of monocytic M-MDSCs and polymorphonuclear PMN-MDSCs, but not early-stage (e)-MDSCs during acute sepsis. High levels of PMN-MDSCs were also present in long-term survivors many months after discharge, suggesting a possible role in sepsis-related complications. Altogether, by employing unsupervised clustering of flow cytometric data we have confirmed the likely involvement of human MDSC subsets in acute sepsis, and revealed their expansion in sepsis survivors at late time points. The application of this strategy in future studies and in the clinical/diagnostic context would enable rapid progress toward a full understanding of the roles of MDSC in sepsis and other inflammatory conditions.

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