Reprogramming of bone marrow myeloid progenitor cells in patients with severe coronary artery disease

Marlies P Noz, Siroon Bekkering, Laszlo Groh, Tim Mj Nielen, Evert Jp Lamfers, Andreas Schlitzer, Saloua El Messaoudi, Niels van Royen, Erik Hjpg Huys, Frank Wmb Preijers, Esther Mm Smeets, Erik Hjg Aarntzen, Bowen Zhang, Yang Li, Manita Ej Bremmers, Walter Jfm van der Velden, Harry Dolstra, Leo Ab Joosten, Marc E Gomes, Mihai G Netea, Niels P Riksen, Marlies P Noz, Siroon Bekkering, Laszlo Groh, Tim Mj Nielen, Evert Jp Lamfers, Andreas Schlitzer, Saloua El Messaoudi, Niels van Royen, Erik Hjpg Huys, Frank Wmb Preijers, Esther Mm Smeets, Erik Hjg Aarntzen, Bowen Zhang, Yang Li, Manita Ej Bremmers, Walter Jfm van der Velden, Harry Dolstra, Leo Ab Joosten, Marc E Gomes, Mihai G Netea, Niels P Riksen

Abstract

Atherosclerosis is the major cause of cardiovascular disease (CVD). Monocyte-derived macrophages are the most abundant immune cells in atherosclerotic plaques. In patients with atherosclerotic CVD, leukocytes have a hyperinflammatory phenotype. We hypothesize that immune cell reprogramming in these patients occurs at the level of myeloid progenitors. We included 13 patients with coronary artery disease due to severe atherosclerosis and 13 subjects without atherosclerosis in an exploratory study. Cytokine production capacity after ex vivo stimulation of peripheral blood mononuclear cells (MNCs) and bone marrow MNCs was higher in patients with atherosclerosis. In BM-MNCs this was associated with increased glycolysis and oxidative phosphorylation. The BM composition was skewed towards myelopoiesis and transcriptome analysis of HSC/GMP cell populations revealed enrichment of neutrophil- and monocyte-related pathways. These results show that in patients with atherosclerosis, activation of innate immune cells occurs at the level of myeloid progenitors, which adds exciting opportunities for novel treatment strategies.

Trial registration: ClinicalTrials.gov NCT03172507.

Keywords: atherosclerosis; bone marrow; cardiovascular diseases; haematopoietic stem; human; immune memory; medicine; progenitor cells; trained immunity.

Conflict of interest statement

MN, SB, LG, TN, EL, AS, SE, Nv, EH, FP, ES, EA, BZ, YL, MB, Wv, HD, LJ, MG, MN, NR No competing interests declared

© 2020, Noz et al.

Figures

Figure 1.. Cytokine production capacity of circulating…
Figure 1.. Cytokine production capacity of circulating PBMCs.
(A) Cytokine production capacity of circulating PBMCs after LPS stimulation in control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. (B) Table of cytokine/chemokine production (x-axis) after stimulation with LPS or P3C (y-axis) of PBMCs showing statistical differences between groups. The p-values are corrected for age and BMI with ANCOVA. Outliers were removed with an SD of >2.5 of Z-scores. * indicates p<0.05, **: p<0.01.
Figure 2.. Progenitor cell populations in the…
Figure 2.. Progenitor cell populations in the bone marrow compartment (A–G) and in the circulation (H and I).
Control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). HSC and MPP cell populations were combined as the CD90 expression marker was not available for n = 6 in each study group. Geometric mean with 95% CI. The p-values are corrected for age and BMI with ANCOVA. * indicates p

Figure 2—figure supplement 1.. Gating strategy of…

Figure 2—figure supplement 1.. Gating strategy of hematopoietic stem and progenitor cells in the bone…

Figure 2—figure supplement 1.. Gating strategy of hematopoietic stem and progenitor cells in the bone marrow.
HSPCs were defined as CD45+CD34+CD38dim cells, after exclusion of dead cells and doublets. Next, the lymphoid lineage was excluded in CD19-CD117+ cells. In CD45RAdimCD38+ cells, CMP, GMP, MEP, and R1-3 progenitor populations were identified using CD123 and CD45RA expression, see Table for details. CD90 expression in CD38-CD45RA- cells determined MPP and HSC populations.

Figure 3.. Cytokine production capacity of bone…

Figure 3.. Cytokine production capacity of bone marrow MNCs.

( A ) Cytokine production capacity…

Figure 3.. Cytokine production capacity of bone marrow MNCs.
(A) Cytokine production capacity of BM-MNCs after LPS stimulation in control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. (B) Table of cytokine/chemokine production (x-axis) after stimulation with LPS or P3C (y-axis) of BM-MNCs showing statistical differences between groups. The p-values are corrected for age and BMI with ANCOVA. Outliers were removed with an SD of >2.5 of Z-scores. * indicates p<0.05, **: p<0.01.

Figure 4.. Metabolism of BM-MNCs assessed with…

Figure 4.. Metabolism of BM-MNCs assessed with Seahorse respirometry in unstimulated condition and 2 hours…

Figure 4.. Metabolism of BM-MNCs assessed with Seahorse respirometry in unstimulated condition and 2 hours after IFN-γ+LPS stimulation.
(A, B) Oxygen consumption and extracellular acidification rates over time using treatment with Oligomycin, FCCP, and Rotenone/Antimycin A. (C, D) Bar graphs of control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. The p-values are corrected for age and BMI with ANCOVA. * indicates p<0.05, **: p<0.01. IFN-γ+LPS: 2 hr IFN-γ and LPS stimulation.

Figure 5.. Proliferation capacity of bone marrow…

Figure 5.. Proliferation capacity of bone marrow MNCs.

Counted colonies per 10 3 cultured BM-MNCs…

Figure 5.. Proliferation capacity of bone marrow MNCs.
Counted colonies per 103 cultured BM-MNCs of control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. The p-values are corrected for age and BMI with ANCOVA. BFU-E indicates erythroid progenitor population, CFU-GEMM: myeloid progenitor population, CFU-GM: granulocyte-macrophage progenitor population.

Figure 6.. Transcriptome analyses of HSC, MPP,…

Figure 6.. Transcriptome analyses of HSC, MPP, and GMP populations.

Control individuals (n = 10)…

Figure 6.. Transcriptome analyses of HSC, MPP, and GMP populations.
Control individuals (n = 10) versus individuals with CAD (n = 10) for each cell population. (A) Principle component analysis (PCA) based on differentially expressed (DE) genes of the HSC population; (B) Volcano plot showing differential expressed genes between patients with CAD and individuals without atherosclerosis, controlled for age, in a combined analysis of HSC, MPP, and GMP population. Genes with an FDR <0.1 are named; (C) Gene ontology enrichment analysis of DE genes from HSCs, MPPs, and GMPs, depicting the FDR and enrichment ratio.

Figure 6—figure supplement 1.. Transcriptome of HSC,…

Figure 6—figure supplement 1.. Transcriptome of HSC, MPP, and GMP populations.

( A ) PCA…

Figure 6—figure supplement 1.. Transcriptome of HSC, MPP, and GMP populations.
(A) PCA analysis based on DE genes of the GMP and MPP cell population; (B) Volcano plot showing differential expressed genes between CAD patients and controls, controlled for age, in the HSC, MPP, and GMP cell populations. Genes with an FDR <0.1 are called out.

Figure 6—figure supplement 2.. Combined heatmap showing…

Figure 6—figure supplement 2.. Combined heatmap showing the top 50 DE genes for the HSC,…

Figure 6—figure supplement 2.. Combined heatmap showing the top 50 DE genes for the HSC, MPP, and GMP cell populations in the patients and the control subjects.
Genes with an FDR 

Figure 6—figure supplement 3.. Separated heatmap showing…

Figure 6—figure supplement 3.. Separated heatmap showing the top 50 DE genes for each of…

Figure 6—figure supplement 3.. Separated heatmap showing the top 50 DE genes for each of the HSC, MPP, and GMP cell populations in the patients and the control subjects.
Genes with an FDR 

Figure 7.. Vascular wall inflammation and hematopoietic…

Figure 7.. Vascular wall inflammation and hematopoietic tissue activation on [ 18 F]FDG PET/CT scan.

Standard uptake…

Figure 7.. Vascular wall inflammation and hematopoietic tissue activation on [18F]FDG PET/CT scan.
Standard uptake value of each region in control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. The p-values are corrected for age and BMI with ANCOVA.* indicates p

Figure 7—figure supplement 1.. Splenic activity correlates…

Figure 7—figure supplement 1.. Splenic activity correlates with progenitor cells and circulating immune cells.

Linear…

Figure 7—figure supplement 1.. Splenic activity correlates with progenitor cells and circulating immune cells.
Linear regression with 95% CI (n = 26). Spearman correlation coefficient (rs). * indicates p<0.05, **: p<0.01. HSPCs: hematopoietic stem and progenitor cells, GMP: granulocyte macrophage progenitor cells, WBC: white blood cells.

Author response image 1.

Author response image 1.

Author response image 1.
All figures (13)
Similar articles
Cited by
References
    1. Arts RJW, Moorlag S, Novakovic B, Li Y, Wang SY, Oosting M, Kumar V, Xavier RJ, Wijmenga C, Joosten LAB, Reusken C, Benn CS, Aaby P, Koopmans MP, Stunnenberg HG, van Crevel R, Netea MG. BCG vaccination protects against experimental viral infection in humans through the induction of cytokines associated with trained immunity. Cell Host & Microbe. 2018;23:89–100. doi: 10.1016/j.chom.2017.12.010. - DOI - PubMed
    1. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology the gene ontology consortium. Nature Genetics. 2000;25:25–29. doi: 10.1038/75556. - DOI - PMC - PubMed
    1. Bekkering S, van den Munckhof I, Nielen T, Lamfers E, Dinarello C, Rutten J, de Graaf J, Joosten LA, Netea MG, Gomes ME, Riksen NP. Innate immune cell activation and epigenetic remodeling in symptomatic and asymptomatic atherosclerosis in humans in vivo. Atherosclerosis. 2016;254:228–236. doi: 10.1016/j.atherosclerosis.2016.10.019. - DOI - PubMed
    1. Bekkering S, Stiekema LCA, Bernelot Moens S, Verweij SL, Novakovic B, Prange K, Versloot M, Roeters van Lennep JE, Stunnenberg H, de Winther M, Stroes ESG, Joosten LAB, Netea MG, Riksen NP. Treatment with statins does not revert trained immunity in patients with familial hypercholesterolemia. Cell Metabolism. 2019;30:1–2. doi: 10.1016/j.cmet.2019.05.014. - DOI - PubMed
    1. Bucerius J, Hyafil F, Verberne HJ, Slart RH, Lindner O, Sciagra R, Agostini D, Übleis C, Gimelli A, Hacker M, Cardiovascular Committee of the European Association of Nuclear Medicine (EANM) Position paper of the cardiovascular committee of the european association of nuclear medicine (EANM) on PET imaging of atherosclerosis. European Journal of Nuclear Medicine and Molecular Imaging. 2016;43:780–792. doi: 10.1007/s00259-015-3259-3. - DOI - PMC - PubMed
Show all 45 references
Publication types
MeSH terms
Associated data
Related information
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM

NCBI Literature Resources

MeSH PMC Bookshelf Disclaimer

The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.

Follow NCBI
Figure 2—figure supplement 1.. Gating strategy of…
Figure 2—figure supplement 1.. Gating strategy of hematopoietic stem and progenitor cells in the bone marrow.
HSPCs were defined as CD45+CD34+CD38dim cells, after exclusion of dead cells and doublets. Next, the lymphoid lineage was excluded in CD19-CD117+ cells. In CD45RAdimCD38+ cells, CMP, GMP, MEP, and R1-3 progenitor populations were identified using CD123 and CD45RA expression, see Table for details. CD90 expression in CD38-CD45RA- cells determined MPP and HSC populations.
Figure 3.. Cytokine production capacity of bone…
Figure 3.. Cytokine production capacity of bone marrow MNCs.
(A) Cytokine production capacity of BM-MNCs after LPS stimulation in control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. (B) Table of cytokine/chemokine production (x-axis) after stimulation with LPS or P3C (y-axis) of BM-MNCs showing statistical differences between groups. The p-values are corrected for age and BMI with ANCOVA. Outliers were removed with an SD of >2.5 of Z-scores. * indicates p<0.05, **: p<0.01.
Figure 4.. Metabolism of BM-MNCs assessed with…
Figure 4.. Metabolism of BM-MNCs assessed with Seahorse respirometry in unstimulated condition and 2 hours after IFN-γ+LPS stimulation.
(A, B) Oxygen consumption and extracellular acidification rates over time using treatment with Oligomycin, FCCP, and Rotenone/Antimycin A. (C, D) Bar graphs of control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. The p-values are corrected for age and BMI with ANCOVA. * indicates p<0.05, **: p<0.01. IFN-γ+LPS: 2 hr IFN-γ and LPS stimulation.
Figure 5.. Proliferation capacity of bone marrow…
Figure 5.. Proliferation capacity of bone marrow MNCs.
Counted colonies per 103 cultured BM-MNCs of control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. The p-values are corrected for age and BMI with ANCOVA. BFU-E indicates erythroid progenitor population, CFU-GEMM: myeloid progenitor population, CFU-GM: granulocyte-macrophage progenitor population.
Figure 6.. Transcriptome analyses of HSC, MPP,…
Figure 6.. Transcriptome analyses of HSC, MPP, and GMP populations.
Control individuals (n = 10) versus individuals with CAD (n = 10) for each cell population. (A) Principle component analysis (PCA) based on differentially expressed (DE) genes of the HSC population; (B) Volcano plot showing differential expressed genes between patients with CAD and individuals without atherosclerosis, controlled for age, in a combined analysis of HSC, MPP, and GMP population. Genes with an FDR <0.1 are named; (C) Gene ontology enrichment analysis of DE genes from HSCs, MPPs, and GMPs, depicting the FDR and enrichment ratio.
Figure 6—figure supplement 1.. Transcriptome of HSC,…
Figure 6—figure supplement 1.. Transcriptome of HSC, MPP, and GMP populations.
(A) PCA analysis based on DE genes of the GMP and MPP cell population; (B) Volcano plot showing differential expressed genes between CAD patients and controls, controlled for age, in the HSC, MPP, and GMP cell populations. Genes with an FDR <0.1 are called out.
Figure 6—figure supplement 2.. Combined heatmap showing…
Figure 6—figure supplement 2.. Combined heatmap showing the top 50 DE genes for the HSC, MPP, and GMP cell populations in the patients and the control subjects.
Genes with an FDR 

Figure 6—figure supplement 3.. Separated heatmap showing…

Figure 6—figure supplement 3.. Separated heatmap showing the top 50 DE genes for each of…

Figure 6—figure supplement 3.. Separated heatmap showing the top 50 DE genes for each of the HSC, MPP, and GMP cell populations in the patients and the control subjects.
Genes with an FDR 

Figure 7.. Vascular wall inflammation and hematopoietic…

Figure 7.. Vascular wall inflammation and hematopoietic tissue activation on [ 18 F]FDG PET/CT scan.

Standard uptake…

Figure 7.. Vascular wall inflammation and hematopoietic tissue activation on [18F]FDG PET/CT scan.
Standard uptake value of each region in control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. The p-values are corrected for age and BMI with ANCOVA.* indicates p

Figure 7—figure supplement 1.. Splenic activity correlates…

Figure 7—figure supplement 1.. Splenic activity correlates with progenitor cells and circulating immune cells.

Linear…

Figure 7—figure supplement 1.. Splenic activity correlates with progenitor cells and circulating immune cells.
Linear regression with 95% CI (n = 26). Spearman correlation coefficient (rs). * indicates p<0.05, **: p<0.01. HSPCs: hematopoietic stem and progenitor cells, GMP: granulocyte macrophage progenitor cells, WBC: white blood cells.

Author response image 1.

Author response image 1.

Author response image 1.
All figures (13)
Similar articles
Cited by
References
    1. Arts RJW, Moorlag S, Novakovic B, Li Y, Wang SY, Oosting M, Kumar V, Xavier RJ, Wijmenga C, Joosten LAB, Reusken C, Benn CS, Aaby P, Koopmans MP, Stunnenberg HG, van Crevel R, Netea MG. BCG vaccination protects against experimental viral infection in humans through the induction of cytokines associated with trained immunity. Cell Host & Microbe. 2018;23:89–100. doi: 10.1016/j.chom.2017.12.010. - DOI - PubMed
    1. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology the gene ontology consortium. Nature Genetics. 2000;25:25–29. doi: 10.1038/75556. - DOI - PMC - PubMed
    1. Bekkering S, van den Munckhof I, Nielen T, Lamfers E, Dinarello C, Rutten J, de Graaf J, Joosten LA, Netea MG, Gomes ME, Riksen NP. Innate immune cell activation and epigenetic remodeling in symptomatic and asymptomatic atherosclerosis in humans in vivo. Atherosclerosis. 2016;254:228–236. doi: 10.1016/j.atherosclerosis.2016.10.019. - DOI - PubMed
    1. Bekkering S, Stiekema LCA, Bernelot Moens S, Verweij SL, Novakovic B, Prange K, Versloot M, Roeters van Lennep JE, Stunnenberg H, de Winther M, Stroes ESG, Joosten LAB, Netea MG, Riksen NP. Treatment with statins does not revert trained immunity in patients with familial hypercholesterolemia. Cell Metabolism. 2019;30:1–2. doi: 10.1016/j.cmet.2019.05.014. - DOI - PubMed
    1. Bucerius J, Hyafil F, Verberne HJ, Slart RH, Lindner O, Sciagra R, Agostini D, Übleis C, Gimelli A, Hacker M, Cardiovascular Committee of the European Association of Nuclear Medicine (EANM) Position paper of the cardiovascular committee of the european association of nuclear medicine (EANM) on PET imaging of atherosclerosis. European Journal of Nuclear Medicine and Molecular Imaging. 2016;43:780–792. doi: 10.1007/s00259-015-3259-3. - DOI - PMC - PubMed
Show all 45 references
Publication types
MeSH terms
Associated data
Related information
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM

NCBI Literature Resources

MeSH PMC Bookshelf Disclaimer

The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.

Follow NCBI
Figure 6—figure supplement 3.. Separated heatmap showing…
Figure 6—figure supplement 3.. Separated heatmap showing the top 50 DE genes for each of the HSC, MPP, and GMP cell populations in the patients and the control subjects.
Genes with an FDR 

Figure 7.. Vascular wall inflammation and hematopoietic…

Figure 7.. Vascular wall inflammation and hematopoietic tissue activation on [ 18 F]FDG PET/CT scan.

Standard uptake…

Figure 7.. Vascular wall inflammation and hematopoietic tissue activation on [18F]FDG PET/CT scan.
Standard uptake value of each region in control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. The p-values are corrected for age and BMI with ANCOVA.* indicates p

Figure 7—figure supplement 1.. Splenic activity correlates…

Figure 7—figure supplement 1.. Splenic activity correlates with progenitor cells and circulating immune cells.

Linear…

Figure 7—figure supplement 1.. Splenic activity correlates with progenitor cells and circulating immune cells.
Linear regression with 95% CI (n = 26). Spearman correlation coefficient (rs). * indicates p<0.05, **: p<0.01. HSPCs: hematopoietic stem and progenitor cells, GMP: granulocyte macrophage progenitor cells, WBC: white blood cells.

Author response image 1.

Author response image 1.

Author response image 1.
All figures (13)
Similar articles
Cited by
References
    1. Arts RJW, Moorlag S, Novakovic B, Li Y, Wang SY, Oosting M, Kumar V, Xavier RJ, Wijmenga C, Joosten LAB, Reusken C, Benn CS, Aaby P, Koopmans MP, Stunnenberg HG, van Crevel R, Netea MG. BCG vaccination protects against experimental viral infection in humans through the induction of cytokines associated with trained immunity. Cell Host & Microbe. 2018;23:89–100. doi: 10.1016/j.chom.2017.12.010. - DOI - PubMed
    1. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology the gene ontology consortium. Nature Genetics. 2000;25:25–29. doi: 10.1038/75556. - DOI - PMC - PubMed
    1. Bekkering S, van den Munckhof I, Nielen T, Lamfers E, Dinarello C, Rutten J, de Graaf J, Joosten LA, Netea MG, Gomes ME, Riksen NP. Innate immune cell activation and epigenetic remodeling in symptomatic and asymptomatic atherosclerosis in humans in vivo. Atherosclerosis. 2016;254:228–236. doi: 10.1016/j.atherosclerosis.2016.10.019. - DOI - PubMed
    1. Bekkering S, Stiekema LCA, Bernelot Moens S, Verweij SL, Novakovic B, Prange K, Versloot M, Roeters van Lennep JE, Stunnenberg H, de Winther M, Stroes ESG, Joosten LAB, Netea MG, Riksen NP. Treatment with statins does not revert trained immunity in patients with familial hypercholesterolemia. Cell Metabolism. 2019;30:1–2. doi: 10.1016/j.cmet.2019.05.014. - DOI - PubMed
    1. Bucerius J, Hyafil F, Verberne HJ, Slart RH, Lindner O, Sciagra R, Agostini D, Übleis C, Gimelli A, Hacker M, Cardiovascular Committee of the European Association of Nuclear Medicine (EANM) Position paper of the cardiovascular committee of the european association of nuclear medicine (EANM) on PET imaging of atherosclerosis. European Journal of Nuclear Medicine and Molecular Imaging. 2016;43:780–792. doi: 10.1007/s00259-015-3259-3. - DOI - PMC - PubMed
Show all 45 references
Publication types
MeSH terms
Associated data
Related information
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM
Figure 7.. Vascular wall inflammation and hematopoietic…
Figure 7.. Vascular wall inflammation and hematopoietic tissue activation on [18F]FDG PET/CT scan.
Standard uptake value of each region in control individuals (white bars, n = 13) and individuals with CAD (gray bars, n = 13). Geometric mean with 95% CI. The p-values are corrected for age and BMI with ANCOVA.* indicates p

Figure 7—figure supplement 1.. Splenic activity correlates…

Figure 7—figure supplement 1.. Splenic activity correlates with progenitor cells and circulating immune cells.

Linear…

Figure 7—figure supplement 1.. Splenic activity correlates with progenitor cells and circulating immune cells.
Linear regression with 95% CI (n = 26). Spearman correlation coefficient (rs). * indicates p<0.05, **: p<0.01. HSPCs: hematopoietic stem and progenitor cells, GMP: granulocyte macrophage progenitor cells, WBC: white blood cells.

Author response image 1.

Author response image 1.

Author response image 1.
All figures (13)
Figure 7—figure supplement 1.. Splenic activity correlates…
Figure 7—figure supplement 1.. Splenic activity correlates with progenitor cells and circulating immune cells.
Linear regression with 95% CI (n = 26). Spearman correlation coefficient (rs). * indicates p<0.05, **: p<0.01. HSPCs: hematopoietic stem and progenitor cells, GMP: granulocyte macrophage progenitor cells, WBC: white blood cells.
Author response image 1.
Author response image 1.

References

    1. Arts RJW, Moorlag S, Novakovic B, Li Y, Wang SY, Oosting M, Kumar V, Xavier RJ, Wijmenga C, Joosten LAB, Reusken C, Benn CS, Aaby P, Koopmans MP, Stunnenberg HG, van Crevel R, Netea MG. BCG vaccination protects against experimental viral infection in humans through the induction of cytokines associated with trained immunity. Cell Host & Microbe. 2018;23:89–100. doi: 10.1016/j.chom.2017.12.010.
    1. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology the gene ontology consortium. Nature Genetics. 2000;25:25–29. doi: 10.1038/75556.
    1. Bekkering S, van den Munckhof I, Nielen T, Lamfers E, Dinarello C, Rutten J, de Graaf J, Joosten LA, Netea MG, Gomes ME, Riksen NP. Innate immune cell activation and epigenetic remodeling in symptomatic and asymptomatic atherosclerosis in humans in vivo. Atherosclerosis. 2016;254:228–236. doi: 10.1016/j.atherosclerosis.2016.10.019.
    1. Bekkering S, Stiekema LCA, Bernelot Moens S, Verweij SL, Novakovic B, Prange K, Versloot M, Roeters van Lennep JE, Stunnenberg H, de Winther M, Stroes ESG, Joosten LAB, Netea MG, Riksen NP. Treatment with statins does not revert trained immunity in patients with familial hypercholesterolemia. Cell Metabolism. 2019;30:1–2. doi: 10.1016/j.cmet.2019.05.014.
    1. Bucerius J, Hyafil F, Verberne HJ, Slart RH, Lindner O, Sciagra R, Agostini D, Übleis C, Gimelli A, Hacker M, Cardiovascular Committee of the European Association of Nuclear Medicine (EANM) Position paper of the cardiovascular committee of the european association of nuclear medicine (EANM) on PET imaging of atherosclerosis. European Journal of Nuclear Medicine and Molecular Imaging. 2016;43:780–792. doi: 10.1007/s00259-015-3259-3.
    1. Christ A, Günther P, Lauterbach MAR, Duewell P, Biswas D, Pelka K, Scholz CJ, Oosting M, Haendler K, Baßler K, Klee K, Schulte-Schrepping J, Ulas T, Moorlag S, Kumar V, Park MH, Joosten LAB, Groh LA, Riksen NP, Espevik T, Schlitzer A, Li Y, Fitzgerald ML, Netea MG, Schultze JL, Latz E. Western diet triggers NLRP3-Dependent innate immune reprogramming. Cell. 2018;172:162–175. doi: 10.1016/j.cell.2017.12.013.
    1. Cirovic B, de Bree LCJ, Groh L, Blok BA, Chan J, van der Velden WJFM, Bremmers MEJ, van Crevel R, Händler K, Picelli S, Schulte-Schrepping J, Klee K, Oosting M, Koeken VACM, van Ingen J, Li Y, Benn CS, Schultze JL, Joosten LAB, Curtis N, Netea MG, Schlitzer A. BCG vaccination in humans elicits trained immunity via the hematopoietic progenitor compartment. Cell Host & Microbe. 2020;28:322–334. doi: 10.1016/j.chom.2020.05.014.
    1. Döring Y, Libby P, Soehnlein O. Neutrophil extracellular traps participate in cardiovascular diseases: recent experimental and clinical insights. Circulation Research. 2020;126:1228–1241. doi: 10.1161/CIRCRESAHA.120.315931.
    1. Dutta P, Courties G, Wei Y, Leuschner F, Gorbatov R, Robbins CS, Iwamoto Y, Thompson B, Carlson AL, Heidt T, Majmudar MD, Lasitschka F, Etzrodt M, Waterman P, Waring MT, Chicoine AT, van der Laan AM, Niessen HW, Piek JJ, Rubin BB, Butany J, Stone JR, Katus HA, Murphy SA, Morrow DA, Sabatine MS, Vinegoni C, Moskowitz MA, Pittet MJ, Libby P, Lin CP, Swirski FK, Weissleder R, Nahrendorf M. Myocardial infarction accelerates atherosclerosis. Nature. 2012;487:325–329. doi: 10.1038/nature11260.
    1. Elsenberg EH, Sels JE, Hillaert MA, Schoneveld AH, van den Dungen NA, van Holten TC, Roest M, Jukema JW, van Zonneveld AJ, de Groot PG, Pijls N, Pasterkamp G, Hoefer IE. Increased cytokine response after toll-like receptor stimulation in patients with stable coronary artery disease. Atherosclerosis. 2013;231:346–351. doi: 10.1016/j.atherosclerosis.2013.09.036.
    1. Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016;32:3047–3048. doi: 10.1093/bioinformatics/btw354.
    1. Fani L, van der Willik KD, Bos D, Leening MJG, Koudstaal PJ, Rizopoulos D, Ruiter R, Stricker BHC, Kavousi M, Ikram MA, Ikram MK. The association of innate and adaptive immunity, subclinical atherosclerosis, and cardiovascular disease in the rotterdam study: a prospective cohort study. PLOS Medicine. 2020;17:e1003115. doi: 10.1371/journal.pmed.1003115.
    1. Fernández-Friera L, Fuster V, López-Melgar B, Oliva B, Sánchez-González J, Macías A, Pérez-Asenjo B, Zamudio D, Alonso-Farto JC, España S, Mendiguren J, Bueno H, García-Ruiz JM, Ibañez B, Fernández-Ortiz A, Sanz J. Vascular inflammation in subclinical atherosclerosis detected by hybrid PET/MRI. Journal of the American College of Cardiology. 2019;73:1371–1382. doi: 10.1016/j.jacc.2018.12.075.
    1. Gomez I, Ward B, Souilhol C, Recarti C, Ariaans M, Johnston J, Burnett A, Mahmoud M, Luong LA, West L, Long M, Parry S, Woods R, Hulston C, Benedikter B, Niespolo C, Bazaz R, Francis S, Kiss-Toth E, van Zandvoort M, Schober A, Hellewell P, Evans PC, Ridger V. Neutrophil microvesicles drive atherosclerosis by delivering miR-155 to atheroprone endothelium. Nature Communications. 2020;11:214. doi: 10.1038/s41467-019-14043-y.
    1. Hashimshony T, Wagner F, Sher N, Yanai I. CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. Cell Reports. 2012;2:666–673. doi: 10.1016/j.celrep.2012.08.003.
    1. Heidt T, Sager HB, Courties G, Dutta P, Iwamoto Y, Zaltsman A, von Zur Muhlen C, Bode C, Fricchione GL, Denninger J, Lin CP, Vinegoni C, Libby P, Swirski FK, Weissleder R, Nahrendorf M. Chronic variable stress activates hematopoietic stem cells. Nature Medicine. 2014;20:754–758. doi: 10.1038/nm.3589.
    1. Karigane D, Takubo K. Metabolic regulation of hematopoietic and leukemic stem/progenitor cells under homeostatic and stress conditions. International Journal of Hematology. 2017;106:18–26. doi: 10.1007/s12185-017-2261-x.
    1. Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010;26:589–595. doi: 10.1093/bioinformatics/btp698.
    1. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology. 2014;15:550. doi: 10.1186/s13059-014-0550-8.
    1. McAlpine CS, Kiss MG, Rattik S, He S, Vassalli A, Valet C, Anzai A, Chan CT, Mindur JE, Kahles F, Poller WC, Frodermann V, Fenn AM, Gregory AF, Halle L, Iwamoto Y, Hoyer FF, Binder CJ, Libby P, Tafti M, Scammell TE, Nahrendorf M, Swirski FK. Sleep modulates haematopoiesis and protects against atherosclerosis. Nature. 2019;566:383–387. doi: 10.1038/s41586-019-0948-2.
    1. Mitroulis I, Ruppova K, Wang B, Chen LS, Grzybek M, Grinenko T, Eugster A, Troullinaki M, Palladini A, Kourtzelis I, Chatzigeorgiou A, Schlitzer A, Beyer M, Joosten LAB, Isermann B, Lesche M, Petzold A, Simons K, Henry I, Dahl A, Schultze JL, Wielockx B, Zamboni N, Mirtschink P, Coskun Ü, Hajishengallis G, Netea MG, Chavakis T. Modulation of myelopoiesis progenitors is an integral component of trained immunity. Cell. 2018;172:147–161. doi: 10.1016/j.cell.2017.11.034.
    1. Moore KJ, Sheedy FJ, Fisher EA. Macrophages in atherosclerosis: a dynamic balance. Nature Reviews Immunology. 2013;13:709–721. doi: 10.1038/nri3520.
    1. Nagareddy PR, Murphy AJ, Stirzaker RA, Hu Y, Yu S, Miller RG, Ramkhelawon B, Distel E, Westerterp M, Huang LS, Schmidt AM, Orchard TJ, Fisher EA, Tall AR, Goldberg IJ. Hyperglycemia promotes myelopoiesis and impairs the resolution of atherosclerosis. Cell Metabolism. 2013;17:695–708. doi: 10.1016/j.cmet.2013.04.001.
    1. Netea MG, Domínguez-Andrés J, Barreiro LB, Chavakis T, Divangahi M, Fuchs E, Joosten LAB, van der Meer JWM, Mhlanga MM, Mulder WJM, Riksen NP, Schlitzer A, Schultze JL, Stabell Benn C, Sun JC, Xavier RJ, Latz E. Defining trained immunity and its role in health and disease. Nature Reviews Immunology. 2020;20:375–388. doi: 10.1038/s41577-020-0285-6.
    1. Nidorf SM, Fiolet ATL, Mosterd A, Eikelboom JW, Schut A, Opstal TSJ, The SHK, Xu X-F, Ireland MA, Lenderink T, Latchem D, Hoogslag P, Jerzewski A, Nierop P, Whelan A, Hendriks R, Swart H, Schaap J, Kuijper AFM, van Hessen MWJ, Saklani P, Tan I, Thompson AG, Morton A, Judkins C, Bax WA, Dirksen M, Alings M, Hankey GJ, Budgeon CA, Tijssen JGP, Cornel JH, Thompson PL. Colchicine in patients with chronic coronary disease. New England Journal of Medicine. 2020;31:2021372. doi: 10.1056/NEJMoa2021372.
    1. Opstal TSJ, Hoogeveen RM, Fiolet ATL, Silvis MJM, The SHK, Bax WA, de Kleijn DPV, Mosterd A, Stroes ESG, Cornel JH. Colchicine attenuates inflammation beyond the inflammasome in chronic coronary artery disease: a LoDoCo2 proteomic substudy. Circulation. 2020;381:50560. doi: 10.1161/CIRCULATIONAHA.120.050560.
    1. Pen A, Yam Y, Chen L, Dennie C, McPherson R, Chow BJ. Discordance between framingham risk score and atherosclerotic plaque burden. European Heart Journal. 2013;34:1075–1082. doi: 10.1093/eurheartj/ehs473.
    1. Pirro M, Simental-Mendía LE, Bianconi V, Watts GF, Banach M, Sahebkar A. Effect of statin therapy on arterial wall inflammation based on 18F-FDG PET/CT: a systematic review and Meta-Analysis of interventional studies. Journal of Clinical Medicine. 2019;8:118. doi: 10.3390/jcm8010118.
    1. Ridker PM, Everett BM, Thuren T, MacFadyen JG, Chang WH, Ballantyne C, Fonseca F, Nicolau J, Koenig W, Anker SD, Kastelein JJP, Cornel JH, Pais P, Pella D, Genest J, Cifkova R, Lorenzatti A, Forster T, Kobalava Z, Vida-Simiti L, Flather M, Shimokawa H, Ogawa H, Dellborg M, Rossi PRF, Troquay RPT, Libby P, Glynn RJ, CANTOS Trial Group Antiinflammatory therapy with canakinumab for atherosclerotic disease. New England Journal of Medicine. 2017;377:1119–1131. doi: 10.1056/NEJMoa1707914.
    1. Shirai T, Nazarewicz RR, Wallis BB, Yanes RE, Watanabe R, Hilhorst M, Tian L, Harrison DG, Giacomini JC, Assimes TL, Goronzy JJ, Weyand CM. The glycolytic enzyme PKM2 bridges metabolic and inflammatory dysfunction in coronary artery disease. Journal of Experimental Medicine. 2016;213:337–354. doi: 10.1084/jem.20150900.
    1. Silvestre-Roig C, Braster Q, Ortega-Gomez A, Soehnlein O. Neutrophils as regulators of cardiovascular inflammation. Nature Reviews Cardiology. 2020;17:327–340. doi: 10.1038/s41569-019-0326-7.
    1. Simmini S, Bialecka M, Huch M, Kester L, van de Wetering M, Sato T, Beck F, van Oudenaarden A, Clevers H, Deschamps J. Transformation of intestinal stem cells into gastric stem cells on loss of transcription factor Cdx2. Nature Communications. 2014;5:5728. doi: 10.1038/ncomms6728.
    1. Takubo K, Goda N, Yamada W, Iriuchishima H, Ikeda E, Kubota Y, Shima H, Johnson RS, Hirao A, Suematsu M, Suda T. Regulation of the HIF-1alpha level is essential for hematopoietic stem cells. Cell Stem Cell. 2010;7:391–402. doi: 10.1016/j.stem.2010.06.020.
    1. Tardif JC, Kouz S, Waters DD, Bertrand OF, Diaz R, Maggioni AP, Pinto FJ, Ibrahim R, Gamra H, Kiwan GS, Berry C, López-Sendón J, Ostadal P, Koenig W, Angoulvant D, Grégoire JC, Lavoie MA, Dubé MP, Rhainds D, Provencher M, Blondeau L, Orfanos A, L'Allier PL, Guertin MC, Roubille F. Efficacy and safety of Low-Dose colchicine after myocardial infarction. New England Journal of Medicine. 2019;381:2497–2505. doi: 10.1056/NEJMoa1912388.
    1. Tarkin JM, Joshi FR, Rudd JH. PET imaging of inflammation in atherosclerosis. Nature Reviews Cardiology. 2014;11:443–457. doi: 10.1038/nrcardio.2014.80.
    1. Ter Horst R, Jaeger M, Smeekens SP, Oosting M, Swertz MA, Li Y, Kumar V, Diavatopoulos DA, Jansen AFM, Lemmers H, Toenhake-Dijkstra H, van Herwaarden AE, Janssen M, van der Molen RG, Joosten I, Sweep F, Smit JW, Netea-Maier RT, Koenders M, Xavier RJ, van der Meer JWM, Dinarello CA, Pavelka N, Wijmenga C, Notebaart RA, Joosten LAB, Netea MG. Host and environmental factors influencing individual human cytokine responses. Cell. 2016;167:1111–1124. doi: 10.1016/j.cell.2016.10.018.
    1. Tsou CL, Peters W, Si Y, Slaymaker S, Aslanian AM, Weisberg SP, Mack M, Charo IF. Critical roles for CCR2 and MCP-3 in monocyte mobilization from bone marrow and recruitment to inflammatory sites. Journal of Clinical Investigation. 2007;117:902–909. doi: 10.1172/JCI29919.
    1. van der Heijden CDCC, Groh L, Keating ST, Kaffa C, Noz MP, Kersten S, van Herwaarden AE, Hoischen A, Joosten LAB, Timmers HJLM, Netea MG, Riksen NP. Catecholamines induce trained immunity in monocytes in vitro and in vivo. Circulation Research. 2020;127:269–283. doi: 10.1161/CIRCRESAHA.119.315800.
    1. van der Valk FM, Kuijk C, Verweij SL, Stiekema LCA, Kaiser Y, Zeerleder S, Nahrendorf M, Voermans C, Stroes ESG. Increased haematopoietic activity in patients with atherosclerosis. European Heart Journal. 2016;15:425–432. doi: 10.1093/eurheartj/ehw246.
    1. van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, Beets-Tan RGH, Fillion-Robin JC, Pieper S, Aerts H. Computational radiomics system to decode the radiographic phenotype. Cancer Research. 2017;77:e104–e107. doi: 10.1158/0008-5472.CAN-17-0339.
    1. van Wijk DF, Sjouke B, Figueroa A, Emami H, van der Valk FM, MacNabb MH, Hemphill LC, Schulte DM, Koopman MG, Lobatto ME, Verberne HJ, Fayad ZA, Kastelein JJ, Mulder WJ, Hovingh GK, Tawakol A, Stroes ES. Nonpharmacological lipoprotein apheresis reduces arterial inflammation in familial hypercholesterolemia. Journal of the American College of Cardiology. 2014;64:1418–1426. doi: 10.1016/j.jacc.2014.01.088.
    1. Weber C, Shantsila E, Hristov M, Caligiuri G, Guzik T, Heine GH, Hoefer IE, Monaco C, Peter K, Rainger E, Siegbahn A, Steffens S, Wojta J, Lip GY. Role and analysis of monocyte subsets in cardiovascular disease. joint consensus document of the european society of cardiology (ESC) Working groups "Atherosclerosis & Vascular Biology" and "Thrombosis". Thrombosis and Haemostasis. 2016;116:626–637. doi: 10.1160/TH16-02-0091.
    1. Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology. 2012;16:284–287. doi: 10.1089/omi.2011.0118.
    1. Yvan-Charvet L, Pagler T, Gautier EL, Avagyan S, Siry RL, Han S, Welch CL, Wang N, Randolph GJ, Snoeck HW, Tall AR. ATP-binding cassette transporters and HDL suppress hematopoietic stem cell proliferation. Science. 2010;328:1689–1693. doi: 10.1126/science.1189731.
    1. Ziegler-Heitbrock L, Ancuta P, Crowe S, Dalod M, Grau V, Hart DN, Leenen PJ, Liu YJ, MacPherson G, Randolph GJ, Scherberich J, Schmitz J, Shortman K, Sozzani S, Strobl H, Zembala M, Austyn JM, Lutz MB. Nomenclature of monocytes and dendritic cells in blood. Blood. 2010;116:e74–e80. doi: 10.1182/blood-2010-02-258558.

Source: PubMed

3
Abonneren