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

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ZUANI DE Marco HORTOVA-KOHOUTKOVA Marcela ANDREJČINOVÁ Ivana TOMÁŠKOVÁ Veronika ŠRÁMEK Vladimír HELÁN Martin FRIČ Jan

Rok publikování 2021
Druh Článek v odborném periodiku
Časopis / Zdroj EUROPEAN JOURNAL OF IMMUNOLOGY
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
www https://onlinelibrary.wiley.com/doi/10.1002/eji.202049141
Doi http://dx.doi.org/10.1002/eji.202049141
Klíčová slova Flow cytometry; Multidimensional clustering; Myeloid- derived suppressor cells; Sepsis; Septic shock
Popis 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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