Single-cell transcriptomic profiles reveal changes associated with BCG-induced trained immunity and protective effects in circulating monocytes.
Single-cell transcriptomic profiles reveal changes associated with BCG-induced trained immunity and protective effects in circulating monocytes.
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DOI:
10.1016/j.celrep.2021.110028
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发表时间:
2021-11-16
期刊:
影响因子:
8.8
通讯作者:
Xavier RJ
中科院分区:
文献类型:
--
作者:
Kong L;Moorlag SJCFM;Lefkovith A;Li B;Matzaraki V;van Emst L;Kang HA;Latorre I;Jaeger M;Joosten LAB;Netea MG;Xavier RJ
Bacillus Calmette-Guérin (BCG) vaccine is one of the most widely used vaccines worldwide. In addition to protection against tuberculosis, BCG confers a degree of non-specific protection against other infections by enhancing secondary immune responses to heterologous pathogens, termed “trained immunity.” To better understand BCG-induced immune reprogramming, we perform single-cell transcriptomic measurements before and after BCG vaccination using secondary immune stimulation with bacterial lipopolysaccharide (LPS). We find that BCG reduces systemic inflammation and identify 75 genes with altered LPS responses, including inflammatory mediators such as CCL3 and CCL4 that have a heightened response. Co-expression analysis reveals that gene modules containing these cytokines lose coordination after BCG. Other modules exhibit increased coordination, including several humanin nuclear isoforms that we confirm induce trained immunity in vitro. Our results link in vivo BCG administration to single-cell transcriptomic changes, validated in human genetics experiments, and highlight genes that are putatively responsible for non-specific protective effects of BCG. Kong et al. use single-cell transcriptomics to characterize the gene expression changes involved in the altered immune response in monocytes after BCG vaccination. The authors show that BCG reduces systemic inflammation and identify a set of genes implicated in the vaccine’s non-specific protective effects.
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DOI:
10.1056/nejmoa1714021
发表时间:
2018-07-12
期刊:
The New England journal of medicine
影响因子:
--
作者:
Nemes E;Geldenhuys H;Rozot V;Rutkowski KT;Ratangee F;Bilek N;Mabwe S;Makhethe L;Erasmus M;Toefy A;Mulenga H;Hanekom WA;Self SG;Bekker LG;Ryall R;Gurunathan S;DiazGranados CA;Andersen P;Kromann I;Evans T;Ellis RD;Landry B;Hokey DA;Hopkins R;Ginsberg AM;Scriba TJ;Hatherill M;C-040-404 Study Team
通讯作者:
C-040-404 Study Team
DOI:
10.1093/bioinformatics/bts180
发表时间:
2012-06-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Shah TS;Liu JZ;Floyd JA;Morris JA;Wirth N;Barrett JC;Anderson CA
通讯作者:
Anderson CA
影响因子:
3.1
作者:
MATSUMOTO, K;OTANI, T;AZUMA, I
通讯作者:
AZUMA, I
影响因子:
4.7
作者:
Khurana N;Bhattacharyya S
通讯作者:
Bhattacharyya S
影响因子:
13.3
作者:
Netea-Maier RT;Plantinga TS;van de Veerdonk FL;Smit JW;Netea MG
通讯作者:
Netea MG