|
|
GEO help: Mouse over screen elements for information. |
|
Status |
Public on Feb 09, 2023 |
Title |
TREM2+ and interstitial macrophages orchestrate airway inflammation in SARS-CoV-2 infection in rhesus macaques |
Organism |
Macaca mulatta |
Experiment type |
Expression profiling by high throughput sequencing
|
Summary |
The COVID-19 pandemic remains a global health crisis, yet, the immunopathological mechanisms driving the development of severe disease remain poorly defined. Here, we utilize a rhesus macaque (RM) model of SARS-CoV-2 infection to delineate perturbations in the innate immune system during acute infection using an integrated systems analysis. We found that SARS-CoV-2 initiated a rapid infiltration (two days post infection) of plasmacytoid dendritic cells into the lower airway, commensurate with IFNA production, natural killer cell activation, and induction of interferon-stimulated genes. At this early interval, we also observed a significant increase of blood CD14-CD16+ monocytes. To dissect the contribution of lung myeloid subsets to airway inflammation, we generated a novel compendium of RM-specific lung macrophage gene expression using a combination of sc-RNA-Seq data and bulk RNA-Seq of purified populations under steady state conditions. Using these tools, we generated a longitudinal sc-RNA-seq dataset of airway cells in SARS-CoV-2-infected RMs. We identified that SARS-CoV-2 infection elicited a rapid recruitment of two subsets of macrophages into the airway: a C206+MRC1- population resembling murine interstitial macrophages, and a TREM2+ population consistent with CCR2+ infiltrating monocytes, into the alveolar space. These subsets were the predominant source of inflammatory cytokines, accounting for ~75% of IL6 and TNF production, and >90% of IL10 production, whereas the contribution of CD206+MRC+ alveolar macrophages was significantly lower. Treatment of SARS-CoV-2 infected RMs with baricitinib (Olumiant®), a novel JAK1/2 inhibitor that recently received Emergency Use Authorization for the treatment of hospitalized COVID-19 patients, was remarkably effective in eliminating the influx of infiltrating, non-alveolar macrophages in the alveolar space, with a concomitant reduction of inflammatory cytokines. This study has delineated the major subsets of lung macrophages driving inflammatory and anti-inflammatory cytokine production within the alveolar space during SARS-CoV-2 infection.
|
|
|
Overall design |
Eight rhesus macaques (Macaca mulatta) were infected with SARS-CoV-2. Four RMs were administered 4 mg Baricitinib starting at day 2 post-infection (DPI) for 8-9 consecutive days. RNA-Seq profiling of cells isolated from PBMC and BAL (bronchoalveolar lavages) prior to SARS-CoV-2 inoculation (-5 DPI; Baseline); after virus inoculation, PBMCs were isolated 1,2,4,6,7,8 DPI, and BALs were sampled 2,4,7 DPI; PBMC and BAL were samples at Necropsy 10-11 DPI.
|
Web link |
https://doi.org/10.1038/s41467-023-37425-9
|
|
|
Contributor(s) |
Upadhyay AA, Hoang TN, Pino M, Boddapati AK, Viox EG, Lee MY, Corry J, Strongin Z, Cowan DA, Beagle EN, Horton TR, Hamilton S, Aoued H, Harper JL, Nguyen K, Pellegrini KL, Tharp GK, Piantadosi A, Levit RD, Amara RR, Barratt-Boyes SM, Ribeiro SP, Sekaly RP, Vanderford TH, Schinazi RF, Paiardini M, Bosinger SE |
Citation(s) |
37024448 |
|
Submission date |
Mar 17, 2022 |
Last update date |
May 16, 2023 |
Contact name |
Gregory K Tharp |
E-mail(s) |
gktharp@emory.edu
|
Phone |
404-727-7797
|
Organization name |
Yerkes National Primate Research Center
|
Department |
Developmental and Cognitive Neuroscience
|
Lab |
Genomics Core
|
Street address |
954 Gatewood Dr
|
City |
Atlanta |
State/province |
GA |
ZIP/Postal code |
30329-4208 |
Country |
USA |
|
|
Platforms (1) |
GPL27943 |
Illumina NovaSeq 6000 (Macaca mulatta) |
|
Samples (101)
|
GSM5958813 |
PBMCs, p20097-s004 |
GSM5958814 |
PBMCs, p20097-s005 |
GSM5958815 |
PBMCs, p20097-s006 |
GSM5958816 |
PBMCs, p20097-s007 |
GSM5958817 |
PBMCs, p20097-s008 |
GSM5958818 |
PBMCs, p20097-s009 |
GSM5958819 |
PBMCs, p20097-s010 |
GSM5958820 |
PBMCs, p20097-s011 |
GSM5958821 |
PBMCs, p20097-s012 |
GSM5958822 |
PBMCs, p20097-s013 |
GSM5958823 |
PBMCs, p20097-s014 |
GSM5958824 |
PBMCs, p20097-s015 |
GSM5958825 |
PBMCs, p20097-s016 |
GSM5958826 |
PBMCs, p20097-s017 |
GSM5958827 |
PBMCs, p20097-s018 |
GSM5958828 |
PBMCs, p20097-s019 |
GSM5958829 |
PBMCs, p20097-s020 |
GSM5958830 |
PBMCs, p20097-s021 |
GSM5958831 |
PBMCs, p20097-s022 |
GSM5958832 |
PBMCs, p20097-s023 |
GSM5958833 |
PBMCs, p20097-s024 |
GSM5958834 |
PBMCs, p20097-s025 |
GSM5958835 |
PBMCs, p20097-s026 |
GSM5958836 |
PBMCs, p20097-s027 |
GSM5958837 |
PBMCs, p20097-s028 |
GSM5958838 |
PBMCs, p20097-s029 |
GSM5958839 |
PBMCs, p20097-s030 |
GSM5958840 |
PBMCs, p20097-s031 |
GSM5958841 |
PBMCs, p20097-s032 |
GSM5958842 |
PBMCs, p20097-s033 |
GSM5958843 |
PBMCs, p20097-s034 |
GSM5958844 |
PBMCs, p20097-s035 |
GSM5958845 |
PBMCs, p20097-s036 |
GSM5958846 |
PBMCs, p20097-s037 |
GSM5958847 |
PBMCs, p20097-s038 |
GSM5958848 |
PBMCs, p20097-s039 |
GSM5958849 |
PBMCs, p20097-s040 |
GSM5958850 |
PBMCs, p20097-s041 |
GSM5958851 |
PBMCs, p20097-s042 |
GSM5958852 |
PBMCs, p20097-s043 |
GSM5958853 |
PBMCs, p20097-s044 |
GSM5958854 |
PBMCs, p20097-s045 |
GSM5958855 |
PBMCs, p20097-s046 |
GSM5958856 |
PBMCs, p20097-s047 |
GSM5958857 |
PBMCs, p20097-s048 |
GSM5958858 |
PBMCs, p20097-s049 |
GSM5958859 |
PBMCs, p20097-s050 |
GSM5958860 |
PBMCs, p20097-s051 |
GSM5958861 |
PBMCs, p20097-s052 |
GSM5958862 |
PBMCs, p20097-s053 |
GSM5958863 |
PBMCs, p20097-s054 |
GSM5958864 |
PBMCs, p20097-s055 |
GSM5958865 |
PBMCs, p20097-s056 |
GSM5958866 |
PBMCs, p20097-s057 |
GSM5958867 |
PBMCs, p20097-s058 |
GSM5958868 |
PBMCs, p20097-s059 |
GSM5958869 |
PBMCs, p20097-s060 |
GSM5958870 |
PBMCs, p20097-s061 |
GSM5958871 |
BALs, p20097-s062 |
GSM5958872 |
BALs, p20097-s063 |
GSM5958873 |
BALs, p20097-s064 |
GSM5958874 |
BALs, p20097-s065 |
GSM5958875 |
BALs, p20097-s066 |
GSM5958876 |
BALs, p20097-s067 |
GSM5958877 |
BALs, p20097-s068 |
GSM5958878 |
BALs, p20097-s069 |
GSM5958879 |
BALs, p20097-s070 |
GSM5958880 |
BALs, p20097-s071 |
GSM5958881 |
BALs, p20097-s072 |
GSM5958882 |
BALs, p20097-s073 |
GSM5958883 |
BALs, p20097-s074 |
GSM5958884 |
BALs, p20097-s075 |
GSM5958885 |
BALs, p20097-s076 |
GSM5958886 |
BALs, p20097-s077 |
GSM5958887 |
BALs, p20097-s078 |
GSM5958888 |
BALs, p20097-s079 |
GSM5958889 |
BALs, p20097-s080 |
GSM5958890 |
BALs, p20097-s081 |
GSM5958891 |
BALs, p20097-s082 |
GSM5958892 |
BALs, p20097-s083 |
GSM5958893 |
BALs, p20097-s084 |
GSM5958894 |
BALs, p20097-s085 |
GSM5958895 |
BALs, p20097-s086 |
GSM5958896 |
BALs, p20097-s087 |
GSM5958897 |
BALs, p20097-s088 |
GSM5958898 |
BALs, p20097-s089 |
GSM5958899 |
BALs, p20097-s090 |
GSM5958900 |
BALs, p20097-s091 |
GSM5958901 |
BALs, p20097-s092 |
GSM5958902 |
BALs, p20097-s093 |
GSM5958903 |
BALs, p20097-s094 |
GSM5958904 |
BALs, p20097-s095 |
GSM5958905 |
BALs, p20097-s096 |
GSM5958906 |
BALs, p20097-s097 |
GSM5958907 |
BALs, p20097-s098 |
GSM5958908 |
BALs, p20097-s099 |
GSM5958909 |
BALs, p20097-s100 |
GSM5958910 |
BALs, p20097-s101 |
|
Relations |
BioProject |
PRJNA817233 |
Supplementary file |
Size |
Download |
File type/resource |
GSE198882_BAL_raw_counts.txt.gz |
1.3 Mb |
(ftp)(http) |
TXT |
GSE198882_PBMC_raw_counts.txt.gz |
1.8 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
|
|
|
|
|