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

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.

Základní údaje

Originální název

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

Autoři

ZUANI DE, Marco; Marcela HORTOVÁ KOHOUTKOVÁ; Ivana ANDREJČINOVÁ; Veronika TOMÁŠKOVÁ; Vladimír ŠRÁMEK; Martin HELÁN a Jan FRIČ

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30102 Immunology

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 6.688

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/21:00124029

Organizační jednotka

Lékařská fakulta

Klíčová slova anglicky

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

Štítky

14110122, 14110513, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 23. 9. 2022 11:49, Mgr. Tereza Miškechová

Anotace

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.

Citovat

ZUANI DE, Marco; Marcela HORTOVÁ KOHOUTKOVÁ; Ivana ANDREJČINOVÁ; Veronika TOMÁŠKOVÁ; Vladimír ŠRÁMEK; Martin HELÁN a Jan FRIČ. Human myeloid-derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data. EUROPEAN JOURNAL OF IMMUNOLOGY. HOBOKEN: WILEY, 2021, roč. 51, č. 7, s. 1785-1791. ISSN 0014-2980. Dostupné z: https://doi.org/10.1002/eji.202049141.

@article{1830721,
   author = {Zuani De, Marco and Hortová Kohoutková, Marcela and Andrejčinová, Ivana and Tomášková, Veronika and Šrámek, Vladimír and Helán, Martin and Frič, Jan},
   article_location = {HOBOKEN},
   article_number = {7},
   doi = {https://doi.org/10.1002/eji.202049141},
   keywords = {Flow cytometry; Multidimensional clustering; Myeloid‐ derived suppressor cells; Sepsis; Septic shock},
   language = {eng},
   issn = {0014-2980},
   journal = {EUROPEAN JOURNAL OF IMMUNOLOGY},
   title = {Human myeloid-derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data},
   url = {https://onlinelibrary.wiley.com/doi/10.1002/eji.202049141},
   volume = {51},
   year = {2021}
}

TY  - JOUR
ID  - 1830721
AU  - Zuani De, Marco - Hortová Kohoutková, Marcela - Andrejčinová, Ivana - Tomášková, Veronika - Šrámek, Vladimír - Helán, Martin - Frič, Jan
PY  - 2021
TI  - Human myeloid-derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data
JF  - EUROPEAN JOURNAL OF IMMUNOLOGY
VL  - 51
IS  - 7
SP  - 1785-1791
EP  - 1785-1791
PB  - WILEY
SN  - 00142980
KW  - Flow cytometry
KW  - Multidimensional clustering
KW  - Myeloid‐ derived suppressor cells
KW  - Sepsis
KW  - Septic shock
UR  - https://onlinelibrary.wiley.com/doi/10.1002/eji.202049141
N2  - 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.
ER  -

ZUANI DE, Marco; Marcela HORTOVÁ KOHOUTKOVÁ; Ivana ANDREJČINOVÁ; Veronika TOMÁŠKOVÁ; Vladimír ŠRÁMEK; Martin HELÁN a Jan FRIČ. Human myeloid-derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data. \textit{EUROPEAN JOURNAL OF IMMUNOLOGY}. HOBOKEN: WILEY, 2021, roč.~51, č.~7, s.~1785-1791. ISSN~0014-2980. Dostupné z: https://doi.org/10.1002/eji.202049141.

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