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Variation and change in behavior: a comment on Loftus et al

Authors :
Kazuhito Miyazaki
Sayuri Seki
Natsuo Tachikawa
Ai Kawana-Tachikawa
Tsutomu Sudo
Shoji Miki
Yu Adachi
Yoshimasa Takahashi
Yutaro Akiyama
Noriko Kinoshita
Hiroaki Sasaki
Saya Moriyama
Yukihiro Yoshimura
Tadaki Suzuki
Rubuna Sato
Kaori Hosoya-Nakayama
Midori Nakamura-Hoshi
Tetsuro Matano
Nobuyuki Miyata
Kazutaka Terahara
Ayae Nishiyama
Taishi Onodera
Takayuki Matsumura
Tomohiro Takano
Hiroshi Horiuchi
Source :
Behavioral Ecology. 32:21-22
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

An expanded myeloid cell compartment is a hallmark of severe coronavirus disease 2019 (COVID-19). However, data regarding myeloid cell expansion have been collected in Europe, where the mortality rate by COVID-19 is greater than those in other regions including Japan. Thus, characteristics of COVID-19-induced myeloid cell subsets remain largely unknown in the regions with low mortality rates. Here, we analyzed cellular dynamics of myeloid-derived suppressor cell (MDSC) subsets and examined whether any of them correlate with disease severity and prognosis, using blood samples from Japanese COVID-19 patients. We observed that polymorphonuclear (PMN)-MDSCs, but not other MDSC subsets, transiently expanded in severe cases but not in mild or moderate cases. Contrary to previous studies in Europe, this subset selectively expanded in survivors of severe cases and subsided before discharge, but such transient expansion was not observed in non-survivors in Japanese cohort. Analysis of plasma cytokine/chemokine levels revealed positive correlation of PMN-MDSC frequencies with interleukin 8 (IL-8) levels prior to the cell expansion, indicating the involvement of IL-8 on recruitment of PMN-MDSCs to peripheral blood following the onset of severe COVID-19. Thus, our data indicates that transient expansion of the PMN-MDSC subset results in improved clinical outcome. Thus, this myeloid cell subset may be a predictor of prognosis in cases of severe COVID-19 in Japan.

Details

ISSN :
14657279 and 10452249
Volume :
32
Database :
OpenAIRE
Journal :
Behavioral Ecology
Accession number :
edsair.doi...........1abb8d8ddfa3a77287227c861097d7b7