J 2021

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

ZUANI DE, Marco, Marcela HORTOVÁ KOHOUTKOVÁ, Ivana ANDREJČINOVÁ, Veronika TOMÁŠKOVÁ, Vladimír ŠRÁMEK et. al.

Basic information

Original name

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

Authors

ZUANI DE, Marco, Marcela HORTOVÁ KOHOUTKOVÁ (203 Czech Republic), Ivana ANDREJČINOVÁ (703 Slovakia, belonging to the institution), Veronika TOMÁŠKOVÁ (203 Czech Republic, belonging to the institution), Vladimír ŠRÁMEK (203 Czech Republic, belonging to the institution), Martin HELÁN (203 Czech Republic, belonging to the institution) and Jan FRIČ (203 Czech Republic, guarantor)

Edition

EUROPEAN JOURNAL OF IMMUNOLOGY, HOBOKEN, WILEY, 2021, 0014-2980

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30102 Immunology

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 6.688

RIV identification code

RIV/00216224:14110/21:00124029

Organization unit

Faculty of Medicine

UT WoS

000651239400001

Keywords in English

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

Tags

International impact, Reviewed
Změněno: 23/9/2022 11:49, Mgr. Tereza Miškechová

Abstract

V originále

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.