Differential contribution of bone marrow-derived infiltrating monocytes and resident macrophages to persistent lung inflammation in chronic air pollution exposure.
Air Pollutants
/ adverse effects
Air Pollution
/ adverse effects
Animals
Apoptosis
/ drug effects
Bone Marrow Cells
/ cytology
Cell Proliferation
/ drug effects
Gene Expression Regulation
/ drug effects
Inhalation Exposure
/ adverse effects
Lung
/ pathology
Macrophages, Alveolar
/ immunology
Male
Mice
Mice, Inbred C57BL
Monocytes
/ immunology
Particulate Matter
/ adverse effects
Pneumonia
/ immunology
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
01 09 2020
01 09 2020
Historique:
received:
06
02
2020
accepted:
28
07
2020
entrez:
3
9
2020
pubmed:
3
9
2020
medline:
9
3
2021
Statut:
epublish
Résumé
Chronic exposure to particulate matter < 2.5µ (PM
Identifiants
pubmed: 32873817
doi: 10.1038/s41598-020-71144-1
pii: 10.1038/s41598-020-71144-1
pmc: PMC7462977
doi:
Substances chimiques
Air Pollutants
0
Particulate Matter
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
14348Subventions
Organisme : NCI NIH HHS
ID : P30 CA043703
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES019616
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL130516
Pays : United States
Organisme : NIEHS NIH HHS
ID : U01 ES026721
Pays : United States
Références
Rajagopalan, S., Al-Kindi, S. G. & Brook, R. D. Air pollution and cardiovascular disease: JACC state-of-the-art review. J. Am. Coll. Cardiol. 72, 2054–2070. https://doi.org/10.1016/j.jacc.2018.07.099 (2018).
doi: 10.1016/j.jacc.2018.07.099
pubmed: 30336830
Duan, M., Hibbs, M. L. & Chen, W. The contributions of lung macrophage and monocyte heterogeneity to influenza pathogenesis. Immunol. Cell Biol. 95, 225–235. https://doi.org/10.1038/icb.2016.97 (2017).
doi: 10.1038/icb.2016.97
pubmed: 27670791
Gomez Perdiguero, E. et al. Tissue-resident macrophages originate from yolk-sac-derived erythro-myeloid progenitors. Nature 518, 547–551. https://doi.org/10.1038/nature13989 (2015).
doi: 10.1038/nature13989
pubmed: 25470051
Misharin, A. V. et al. Monocyte-derived alveolar macrophages drive lung fibrosis and persist in the lung over the life span. J. Exp. Med. 214, 2387–2404. https://doi.org/10.1084/jem.20162152 (2017).
doi: 10.1084/jem.20162152
pubmed: 28694385
pmcid: 5551573
Yona, S. et al. Fate mapping reveals origins and dynamics of monocytes and tissue macrophages under homeostasis. Immunity 38, 79–91. https://doi.org/10.1016/j.immuni.2012.12.001 (2013).
doi: 10.1016/j.immuni.2012.12.001
Hashimoto, D. et al. Tissue-resident macrophages self-maintain locally throughout adult life with minimal contribution from circulating monocytes. Immunity 38, 792–804. https://doi.org/10.1016/j.immuni.2013.04.004 (2013).
doi: 10.1016/j.immuni.2013.04.004
pubmed: 23601688
Xu, X. et al. Inflammatory response to fine particulate air pollution exposure: neutrophil versus monocyte. PLoS ONE 8, e71414. https://doi.org/10.1371/journal.pone.0071414 (2013).
doi: 10.1371/journal.pone.0071414
pubmed: 23951156
pmcid: 3738512
Kampfrath, T. et al. Chronic fine particulate matter exposure induces systemic vascular dysfunction via NADPH oxidase and TLR4 pathways. Circ. Res. 108, 716–726. https://doi.org/10.1161/CIRCRESAHA.110.237560 (2011).
doi: 10.1161/CIRCRESAHA.110.237560
pubmed: 21273555
pmcid: 3085907
Weibel, E. R. Lung morphometry: the link between structure and function. Cell Tissue Res. 367, 413–426. https://doi.org/10.1007/s00441-016-2541-4 (2017).
doi: 10.1007/s00441-016-2541-4
pubmed: 27981379
Tschanz, S. A., Burri, P. H. & Weibel, E. R. A simple tool for stereological assessment of digital images: the STEPanizer. J. Microsc. 243, 47–59. https://doi.org/10.1111/j.1365-2818.2010.03481.x (2011).
doi: 10.1111/j.1365-2818.2010.03481.x
pubmed: 21375529
Fricke, K. et al. High fat diet induces airway hyperresponsiveness in mice. Sci. Rep. 8, 6404. https://doi.org/10.1038/s41598-018-24759-4 (2018).
doi: 10.1038/s41598-018-24759-4
pubmed: 29686414
pmcid: 5913253
Miller, M. et al. Fstl1 promotes asthmatic airway remodeling by inducing Oncostatin M. J. Immunol. 195, 3546–3556. https://doi.org/10.4049/jimmunol.1501105 (2015).
doi: 10.4049/jimmunol.1501105
pubmed: 26355153
pmcid: 4811198
Fan, X. et al. Murine CXCR1 is a functional receptor for GCP-2/CXCL6 and interleukin-8/CXCL8. J. Biol. Chem. 282, 11658–11666. https://doi.org/10.1074/jbc.M607705200 (2007).
doi: 10.1074/jbc.M607705200
pubmed: 17197447
Liu, Q. et al. The CXCL8-CXCR1/2 pathways in cancer. Cytokine Growth Factor Rev. 31, 61–71. https://doi.org/10.1016/j.cytogfr.2016.08.002 (2016).
doi: 10.1016/j.cytogfr.2016.08.002
pubmed: 27578214
pmcid: 6142815
Supek, F., Bosnjak, M., Skunca, N. & Smuc, T. REVIGO summarizes and visualizes long lists of gene ontology terms. PLoS ONE 6, e21800. https://doi.org/10.1371/journal.pone.0021800 (2011).
doi: 10.1371/journal.pone.0021800
pubmed: 3138752
pmcid: 3138752
The Gene Ontology, C. The Gene Ontology Resource: 20 years and still GOing strong. Nucleic Acids Res 47, D330–D338. https://doi.org/10.1093/nar/gky1055 (2019).
doi: 10.1093/nar/gky1055
Mi, H., Muruganujan, A., Ebert, D., Huang, X. & Thomas, P. D. PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools. Nucleic Acids Res. 47, D419–D426. https://doi.org/10.1093/nar/gky1038 (2019).
doi: 10.1093/nar/gky1038
pubmed: 30407594
Ashburner, M. et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 25, 25–29. https://doi.org/10.1038/75556 (2000).
doi: 10.1038/75556
pubmed: 3037419
pmcid: 3037419
Kramer, A., Green, J., Pollard, J. Jr. & Tugendreich, S. Causal analysis approaches in Ingenuity Pathway Analysis. Bioinformatics 30, 523–530. https://doi.org/10.1093/bioinformatics/btt703 (2014).
doi: 10.1093/bioinformatics/btt703
pubmed: 24336805
pmcid: 24336805
Roszer, T., Menendez-Gutierrez, M. P., Cedenilla, M. & Ricote, M. Retinoid X receptors in macrophage biology. Trends Endocrinol. Metab. 24, 460–468. https://doi.org/10.1016/j.tem.2013.04.004 (2013).
doi: 10.1016/j.tem.2013.04.004
pubmed: 23701753
Tammaro, A. et al. TREM-1 and its potential ligands in non-infectious diseases: from biology to clinical perspectives. Pharmacol. Ther. 177, 81–95. https://doi.org/10.1016/j.pharmthera.2017.02.043 (2017).
doi: 10.1016/j.pharmthera.2017.02.043
pubmed: 28245991
Dower, K., Ellis, D. K., Saraf, K., Jelinsky, S. A. & Lin, L. L. Innate immune responses to TREM-1 activation: overlap, divergence, and positive and negative cross-talk with bacterial lipopolysaccharide. J. Immunol. 180, 3520–3534. https://doi.org/10.4049/jimmunol.180.5.3520 (2008).
doi: 10.4049/jimmunol.180.5.3520
pubmed: 18292579
Hiraiwa, K. & van Eeden, S. F. Contribution of lung macrophages to the inflammatory responses induced by exposure to air pollutants. Mediators Inflamm. 2013, 619523. https://doi.org/10.1155/2013/619523 (2013).
doi: 10.1155/2013/619523
pubmed: 24058272
pmcid: 3766602
Goto, Y. et al. Particulate matter air pollution stimulates monocyte release from the bone marrow. Am. J. Respir. Crit Care Med. 170, 891–897. https://doi.org/10.1164/rccm.200402-235OC (2004).
doi: 10.1164/rccm.200402-235OC
pubmed: 15256391
Sun, Q. et al. Ambient air pollution exaggerates adipose inflammation and insulin resistance in a mouse model of diet-induced obesity. Circulation 119, 538–546. https://doi.org/10.1161/CIRCULATIONAHA.108.799015 (2009).
doi: 10.1161/CIRCULATIONAHA.108.799015
pubmed: 19153269
Roszer, T. Understanding the biology of self-renewing macrophages. Cells https://doi.org/10.3390/cells7080103 (2018).
doi: 10.3390/cells7080103
pubmed: 30096862
pmcid: 6115929
Maus, U. A. et al. Resident alveolar macrophages are replaced by recruited monocytes in response to endotoxin-induced lung inflammation. Am. J. Respir. Cell Mol. Biol. 35, 227–235. https://doi.org/10.1165/rcmb.2005-0241OC (2006).
doi: 10.1165/rcmb.2005-0241OC
pubmed: 16543608
Hughes, C. E. & Nibbs, R. J. B. A guide to chemokines and their receptors. FEBS J. 285, 2944–2971. https://doi.org/10.1111/febs.14466 (2018).
doi: 10.1111/febs.14466
pubmed: 29637711
pmcid: 6120486
Chen, K. et al. Chemokines in homeostasis and diseases. Cell Mol. Immunol. 15, 324–334. https://doi.org/10.1038/cmi.2017.134 (2018).
doi: 10.1038/cmi.2017.134
pubmed: 29375126
pmcid: 6052829
Rose, C. E. Jr., Sung, S. S. & Fu, S. M. Significant involvement of CCL2 (MCP-1) in inflammatory disorders of the lung. Microcirculation 10, 273–288. https://doi.org/10.1038/sj.mn.7800193 (2003).
doi: 10.1038/sj.mn.7800193
pubmed: 12851645
Etzerodt, A. & Moestrup, S. K. CD163 and inflammation: biological, diagnostic, and therapeutic aspects. Antioxid. Redox Signal 18, 2352–2363. https://doi.org/10.1089/ars.2012.4834 (2013).
doi: 10.1089/ars.2012.4834
pubmed: 22900885
pmcid: 3638564
Snelgrove, R. J. et al. A critical function for CD200 in lung immune homeostasis and the severity of influenza infection. Nat. Immunol. 9, 1074–1083. https://doi.org/10.1038/ni.1637 (2008).
doi: 10.1038/ni.1637
Xu, D., Zhang, Y., Zhou, L. & Li, T. Acute effects of PM2.5 on lung function parameters in schoolchildren in Nanjing, China: a panel study. Environ. Sci. Pollut. Res. Int. 25, 14989–14995. https://doi.org/10.1007/s11356-018-1693-z (2018).
doi: 10.1007/s11356-018-1693-z
pubmed: 29550979
Guo, C. et al. Effect of long-term exposure to fine particulate matter on lung function decline and risk of chronic obstructive pulmonary disease in Taiwan: a longitudinal, cohort study. Lancet Planet Health 2, e114–e125. https://doi.org/10.1016/S2542-5196(18)30028-7 (2018).
doi: 10.1016/S2542-5196(18)30028-7
pubmed: 29615226
Huang, Y., Bao, M., Xiao, J., Qiu, Z. & Wu, K. Effects of PM2.5 on cardio-pulmonary function injury in open manganese mine workers. Int. J. Environ. Res. Public Health https://doi.org/10.3390/ijerph16112017 (2019).
doi: 10.3390/ijerph16112017
pubmed: 31892222
pmcid: 6981901
Conti, S. et al. The association between air pollution and the incidence of idiopathic pulmonary fibrosis in Northern Italy. Eur. Respir. J. https://doi.org/10.1183/13993003.00397-2017 (2018).
doi: 10.1183/13993003.00397-2017
pubmed: 29371377
Johannson, K. A. et al. Air pollution exposure is associated with lower lung function, but not changes in lung function. Patients with idiopathic pulmonary fibrosis. Chest 154, 119–125. https://doi.org/10.1016/j.chest.2018.01.015 (2018).
doi: 10.1016/j.chest.2018.01.015
pubmed: 29355549
pmcid: 6045778
Xu, Z. et al. PM2.5 induced pulmonary fibrosis in vivo and in vitro. Ecotoxicol. Environ. Saf. 171, 112–121. https://doi.org/10.1016/j.ecoenv.2018.12.061 (2019).
doi: 10.1016/j.ecoenv.2018.12.061
pubmed: 30597315
Xu, P., Yao, Y. & Zhou, J. Particulate matter with a diameter of </=2.5 mum induces and enhances bleomycin-induced pulmonary fibrosis by stimulating endoplasmic reticulum stress in rat. Biochem. Cell Biol. 97, 357–363. https://doi.org/10.1139/bcb-2018-0053 (2019).
doi: 10.1139/bcb-2018-0053
pubmed: 31059283
Taniguchi, T. et al. CXCL13 produced by macrophages due to Fli1 deficiency may contribute to the development of tissue fibrosis, vasculopathy and immune activation in systemic sclerosis. Exp. Dermatol. 27, 1030–1037. https://doi.org/10.1111/exd.13724 (2018).
doi: 10.1111/exd.13724
pubmed: 29947047
Vuga, L. J. et al. C-X-C motif chemokine 13 (CXCL13) is a prognostic biomarker of idiopathic pulmonary fibrosis. Am. J. Respir. Crit. Care Med. 189, 966–974. https://doi.org/10.1164/rccm.201309-1592OC (2014).
doi: 10.1164/rccm.201309-1592OC
pubmed: 24628285
pmcid: 4098096
Panda, A. et al. Human innate immunosenescence: causes and consequences for immunity in old age. Trends Immunol. 30, 325–333. https://doi.org/10.1016/j.it.2009.05.004 (2009).
doi: 10.1016/j.it.2009.05.004
pubmed: 19541535
pmcid: 4067971
Linton, P. J. & Thoman, M. L. Immunosenescence in monocytes, macrophages, and dendritic cells: lessons learned from the lung and heart. Immunol. Lett. 162, 290–297. https://doi.org/10.1016/j.imlet.2014.06.017 (2014).
doi: 10.1016/j.imlet.2014.06.017
pubmed: 25251662
pmcid: 4256137
Urman, R. et al. Associations of children’s lung function with ambient air pollution: joint effects of regional and near-roadway pollutants. Thorax 69, 540–547. https://doi.org/10.1136/thoraxjnl-2012-203159 (2014).
doi: 10.1136/thoraxjnl-2012-203159
pubmed: 24253832
Gauderman, W. J. et al. The effect of air pollution on lung development from 10 to 18 years of age. N. Engl. J. Med. 351, 1057–1067. https://doi.org/10.1056/NEJMoa040610 (2004).
doi: 10.1056/NEJMoa040610
pubmed: 15356303
Maciejczyk, P. et al. Effects of subchronic exposures to concentrated ambient particles (CAPs) in mice. II. The design of a CAPs exposure system for biometric telemetry monitoring. Inhal. Toxicol. 17, 189–197 (2005).
doi: 10.1080/08958370590912743
Knudsen, L., Weibel, E. R., Gundersen, H. J., Weinstein, F. V. & Ochs, M. Assessment of air space size characteristics by intercept (chord) measurement: an accurate and efficient stereological approach. J. Appl. Physiol. 1985(108), 412–421. https://doi.org/10.1152/japplphysiol.01100.2009 (2010).
doi: 10.1152/japplphysiol.01100.2009
Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21. https://doi.org/10.1093/bioinformatics/bts635 (2013).
doi: 10.1093/bioinformatics/bts635
Trapnell, C. et al. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol. 28, 511–515. https://doi.org/10.1038/nbt.1621 (2010).
doi: 10.1038/nbt.1621
pubmed: 3146043
pmcid: 3146043
Hulsen, T., de Vlieg, J. & Alkema, W. BioVenn—a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams. BMC Genomics 9, 488. https://doi.org/10.1186/1471-2164-9-488 (2008).
doi: 10.1186/1471-2164-9-488
pubmed: 18925949
pmcid: 2584113
Liberzon, A. et al. The Molecular Signatures Database (MSigDB) hallmark gene set collection. Cell Syst. 1, 417–425. https://doi.org/10.1016/j.cels.2015.12.004 (2015).
doi: 10.1016/j.cels.2015.12.004
pubmed: 4707969
pmcid: 4707969
Godec, J. et al. Compendium of immune signatures identifies conserved and species-specific biology in response to inflammation. Immunity 44, 194–206. https://doi.org/10.1016/j.immuni.2015.12.006 (2016).
doi: 10.1016/j.immuni.2015.12.006
pubmed: 26795250
pmcid: 26795250
Subramanian, A. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. USA 102, 15545–15550. https://doi.org/10.1073/pnas.0506580102 (2005).
doi: 10.1073/pnas.0506580102
pubmed: 16199517
Liberzon, A. et al. Molecular signatures database (MSigDB) 3.0. Bioinformatics 27, 1739–1740. https://doi.org/10.1093/bioinformatics/btr260 (2011).
doi: 10.1093/bioinformatics/btr260
pubmed: 21546393
pmcid: 3106198
Donato, M. et al. Analysis and correction of crosstalk effects in pathway analysis. Genome Res. 23, 1885–1893. https://doi.org/10.1101/gr.153551.112 (2013).
doi: 10.1101/gr.153551.112
pubmed: 23934932
pmcid: 3814888
Draghici, S. et al. A systems biology approach for pathway level analysis. Genome Res. 17, 1537–1545. https://doi.org/10.1101/gr.6202607 (2007).
doi: 10.1101/gr.6202607
pubmed: 17785539
pmcid: 1987343
Tarca, A. L. et al. A novel signaling pathway impact analysis. Bioinformatics 25, 75–82. https://doi.org/10.1093/bioinformatics/btn577 (2009).
doi: 10.1093/bioinformatics/btn577
pubmed: 18990722
Ahsan, S. & Draghici, S. Identifying significantly impacted pathways and putative mechanisms with iPathwayGuide. Curr. Protoc. Bioinformatics 57, 7 15 11-17 15 30. https://doi.org/10.1002/cpbi.24 (2017).
doi: 10.1002/cpbi.24