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Evolution of the protein corona affects macrophage polarization

Yang, Huayan, Lu, Sijia, Wang, Shengkun, Liu, Lihong, Zhu, Bo, Yu, Shaoning, Yang, Shouning, Chang, Junbiao·2021·International Journal of Biological Macromolecules

Abstract

When nanoparticles (NPs) come into contact with bioenvironments, a protein corona forms on the NP surface. Previous reports showed that the constituents of the corona change with time. However, how different protein corona compositions influence cells, especially immune cells, has received less attention. Macrophages are important immune cells that can be polarized into a pro-inflammatory (M1) or anti-inflammatory (M2) phenotype. In this study, AuNPs were incubated with human plasma for different periods to obtain time-related AuNP-coronas, and the influences of time-related AuNP-coronas on macrophage polarization were investigated. The macrophage morphology, biomarkers, cytokine secretion studies show that the pristine AuNPs and 4 h-AuNP-corona induced macrophage cells into M2 phenotype, while the co-incubation of 12 h-AuNP-corona and macrophage cells result in M1 phenotype. Further proteomic analysis showed that the compositions of protein corona were changing constantly after AuNPs contacted with plasma. When the incubation time increased to 12 h, the immune proteins in protein corona were increased significantly, which play a key role in modulation of the different macrophages polarization. Our findings demonstrated that plasma incubation time is an important parameter that needs to be taken into account in the study of nano-immune interactions and safe use of NPs in biological systems. Moreover, our finding can be a new efficient strategy for activating inflammatory or a…

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Research works printed but not linked: 80

  1. Volkmar, 2014, Nanopharmaceuticals (part 1): products on the market, Int. J. Nanomedicine, 9, 4357
  2. Giulio, 2017, Biological identity of nanoparticles in vivo: clinical implications of the protein Corona, Trends Biotechnol., 35, 257, 10.1016/j.tibtech.2016.08.011 · DOI · Paper page
  3. Haitao, 2020, Endogenous fluorescence carbon dots derived from food items, The Innovation, 1
  4. Lundqvist, 2008, Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts, Proc. Natl. Acad. Sci., 105, 14265, 10.1073/pnas.0805135105 · DOI
  5. Monopoli, 2011, Nanoparticle coronas take shape, Nat. Nanotechnol., 6, 11, 10.1038/nnano.2010.267 · DOI
  6. Lynch, 2008, Protein-nanoparticle interactions, Nano Today, 3, 40, 10.1016/S1748-0132(08)70014-8 · DOI
  7. Tonigold, 2018, Pre-adsorption of antibodies enables targeting of nanocarriers despite a biomolecular corona, Nat. Nanotechnol., 13, 862, 10.1038/s41565-018-0171-6 · DOI
  8. Yang, 2019, Conformational-transited protein corona regulated cell-membrane penetration and induced cytotoxicity of ultrasmall au nanoparticles, RSC Adv., 9, 4435, 10.1039/C8RA10049G · DOI
  9. Yang, 2019, Detailed insight into the formation of protein corona: conformational change, stability and aggregation, Int. J. Biol. Macromol., 135, 1114, 10.1016/j.ijbiomac.2019.06.014 · DOI
  10. Salvati, 2013, Transferrin-functionalized nanoparticles lose their targeting capabilities when a biomolecule corona adsorbs on the surface, Nat. Nanotechnol., 8, 137, 10.1038/nnano.2012.237 · DOI · Paper page
  11. Walkey, 2014, Protein Corona fingerprinting predicts the cellular interaction of gold and silver nanoparticles, ACS Nano, 8, 2439, 10.1021/nn406018q · DOI
  12. Lundqvist, 2013, Tracking protein corona over time, Nat. Nanotechnol., 8, 701, 10.1038/nnano.2013.196 · DOI
  13. Monopoli, 2012, Biomolecular coronas provide the biological identity of nanosized materials, Nat. Nanotechnol., 7, 779, 10.1038/nnano.2012.207 · DOI · Paper page
  14. Cedervall, 2007, Understanding the nanoparticle–protein corona using methods to quantify exchange rates and affinities of proteins for nanoparticles, Proc. Natl. Acad. Sci., 104, 2050, 10.1073/pnas.0608582104 · DOI · Paper page
  15. Lundqvist, 2011, The evolution of the protein Corona around nanoparticles: a test study, ACS Nano, 5, 7503, 10.1021/nn202458g · DOI
  16. Tenzer, 2013, Rapid formation of plasma protein corona critically affects nanoparticle pathophysiology, Nat. Nanotechnol., 8, 772, 10.1038/nnano.2013.181 · DOI · Paper page
  17. Ritz, 2015, Protein corona of nanoparticles: distinct proteins regulate the cellular uptake, Biomacromolecules, 16, 1311, 10.1021/acs.biomac.5b00108 · DOI
  18. Bisker, 2016, Protein-targeted corona phase molecular recognition, Nat. Commun., 7, 10241, 10.1038/ncomms10241 · DOI
  19. Lara, 2017, Identification of receptor binding to the biomolecular Corona of nanoparticles, ACS Nano, 11, 1884, 10.1021/acsnano.6b07933 · DOI
  20. Ke, 2017, A decade of the protein Corona, ACS Nano, 11, 11773, 10.1021/acsnano.7b08008 · DOI · Paper page
  21. Francia, 2019, Corona composition can affect the mechanisms cells use to internalize nanoparticles, ACS Nano, 13, 11107, 10.1021/acsnano.9b03824 · DOI
  22. Kelly, 2015, Mapping protein binding sites on the biomolecular corona of nanoparticles, Nat. Nanotechnol., 10, 472, 10.1038/nnano.2015.47 · DOI · Paper page
  23. Schöttler, 2016, Protein adsorption is required for stealth effect of poly(ethylene glycol)- and poly(phosphoester)-coated nanocarriers, Nat. Nanotechnol., 11, 372, 10.1038/nnano.2015.330 · DOI · Paper page
  24. Yallapu, 2015, Implications of protein corona on physico-chemical and biological properties of magnetic nanoparticles, Biomaterials, 46, 1, 10.1016/j.biomaterials.2014.12.045 · DOI
  25. Fleischer, 2014, Nanoparticle-cell interactions: molecular structure of the protein Corona and cellular outcomes, Acc. Chem. Res., 47, 2651, 10.1021/ar500190q · DOI
  26. De Paoli, 2014, The effect of protein corona composition on the interaction of carbon nanotubes with human blood platelets, Biomaterials, 35, 6182, 10.1016/j.biomaterials.2014.04.067 · DOI
  27. Wynn, 2013, Macrophage biology in development, homeostasis and disease, Nature, 496, 445, 10.1038/nature12034 · DOI · Paper page
  28. Gabrilovich, 2012, Coordinated regulation of myeloid cells by tumours, Nat. Rev. Immunol., 12, 253, 10.1038/nri3175 · DOI · Paper page
  29. Pittet, 2014, The journey from stem cell to macrophage, Ann. N. Y. Acad. Sci., 1319, 1, 10.1111/nyas.12393 · DOI
  30. Mantovani, 2015, The interaction of anticancer therapies with tumor-associated macrophages, J. Exp. Med., 212, 435, 10.1084/jem.20150295 · DOI
  31. Brian, 2015, Macrophages and therapeutic resistance in cancer, Cancer Cell, 27, 462, 10.1016/j.ccell.2015.02.015 · DOI · Paper page
  32. Gordon, 2005, Monocyte and macrophage heterogeneity, Nat. Rev. Immunol., 5, 953, 10.1038/nri1733 · DOI · Paper page
  33. Rodell, 2018, TLR7/8-agonist-loaded nanoparticles promote the polarization of tumour-associated macrophages to enhance cancer immunotherapy, Nat. Biomed. Eng., 2, 578, 10.1038/s41551-018-0236-8 · DOI · Paper page
  34. Beatty, 2011, CD40 agonists Alter tumor stroma and show efficacy against pancreatic carcinoma in mice and humans, Science, 331, 1612, 10.1126/science.1198443 · DOI
  35. Murray, 2014, Macrophage activation and polarization: nomenclature and experimental guidelines, Immunity, 41, 14, 10.1016/j.immuni.2014.06.008 · DOI · Paper page
  36. Ngambenjawong, 2017, Progress in tumor-associated macrophage (TAM)-targeted therapeutics, Adv. Drug Deliv. Rev., 114, 206, 10.1016/j.addr.2017.04.010 · DOI
  37. Vogel, 2014, Human macrophage polarization in vitro: maturation and activation methods compared, Immunobiology, 219, 695, 10.1016/j.imbio.2014.05.002 · DOI
  38. Braster, 2014, Myeloid cells as effector cells for monoclonal antibody therapy of cancer, Methods, 65, 28, 10.1016/j.ymeth.2013.06.020 · DOI
  39. Bogels, 2012, Carcinoma origin dictates differential skewing of monocyte function, Oncoimmunology, 1, 798, 10.4161/onci.20427 · DOI
  40. Zhang, 2011, M2-polarized tumor-associated macrophages are associated with poor prognoses resulting from accelerated lymphangiogenesis in lung adenocarcinoma, Clinics, 66, 1879, 10.1590/S1807-59322011001100006 · DOI
  41. Mantovani, 2003, Tumor-associated macrophages and dendritic cells as prototypic type II polarized myeloid populations, Tumori, 89, 459, 10.1177/030089160308900501 · DOI
  42. Lategan, 2018, Effects of graphene oxide nanoparticles on the immune system biomarkers produced by RAW 264.7 and human whole blood cell cultures, Nanomaterials, 8, 125, 10.3390/nano8020125 · DOI
  43. Lunov, 2011, Amino-functionalized polystyrene nanoparticles activate the NLRP3 inflammasome in human macrophages, ACS Nano, 5, 9648, 10.1021/nn203596e · DOI
  44. Sylvestre, 2020, Progress on modulating tumor-associated macrophages with biomaterials, Adv. Mater., 32, 10.1002/adma.201902007 · DOI
  45. Pal, 2016, Noble metal nanoparticle-induced oxidative stress modulates tumor associated macrophages (TAMs) from an M2 to M1 phenotype: an in vitro approach, Int. Immunopharmacol., 38, 332, 10.1016/j.intimp.2016.06.006 · DOI
  46. Cai, 2020, Corona of thorns: the surface chemistry-mediated protein corona perturbs the recognition and immune response of macrophages, ACS Appl. Mater. Interfaces, 12, 1997, 10.1021/acsami.9b15910 · DOI
  47. Docter, 2015, The nanoparticle biomolecule corona: lessons learned – challenge accepted?, Chem. Soc. Rev., 44, 6094, 10.1039/C5CS00217F · DOI
  48. Barrán-Berdón, 2013, Time evolution of nanoparticle-protein Corona in human plasma: relevance for targeted drug delivery, Langmuir, 29, 6485, 10.1021/la401192x · DOI
  49. Albanese, 2014, Secreted biomolecules Alter the biological identity and cellular interactions of nanoparticles, ACS Nano, 8, 5515, 10.1021/nn4061012 · DOI
  50. Fratoddi, 2017, Hydrophobic and hydrophilic Au and Ag nanoparticles. Breakthroughs and perspectives, Nanomaterials (Basel, Switzerland), 8, 1
  51. Tian, 2017, Multi-talented applications for cell imaging, tumor cells recognition, patterning, staining and temperature sensing by using egg white-encapsulated gold nanoclusters, Sensors Actuators B Chem., 240, 114, 10.1016/j.snb.2016.08.147 · DOI
  52. Charbgoo, 2018, Gold nanoparticle should understand protein corona for being a clinical nanomaterial, J. Control. Release, 272, 39, 10.1016/j.jconrel.2018.01.002 · DOI
  53. Jana, 2001, Wet chemical synthesis of high aspect ratio cylindrical gold nanorods, J. Phys. Chem. B, 105, 4065, 10.1021/jp0107964 · DOI
  54. Liu, 2018, Serum or plasma, what is the difference? Investigations to facilitate the sample material selection decision making process for metabolomics studies and beyond, Anal. Chim. Acta, 1037, 293, 10.1016/j.aca.2018.03.009 · DOI
  55. Tuck, 2009, Standard operating procedures for serum and plasma collection: early detection research network consensus statement standard operating procedure integration working group, J. Proteome Res., 8, 113, 10.1021/pr800545q · DOI
  56. Yin, 2013, Preanalytical aspects and sample quality assessment in metabolomics studies of human blood, Clin. Chem., 59, 833, 10.1373/clinchem.2012.199257 · DOI
  57. Bauer, 2020, Polyphosphoester surfactants as general stealth coatings for polymeric nanocarriers, Acta Biomater., 116, 318, 10.1016/j.actbio.2020.09.016 · DOI
  58. Simon, 2018, Protein Corona mediated stealth properties of biocompatible carbohydrate-based nanocarriers, Isr. J. Chem., 58, 1363, 10.1002/ijch.201800166 · DOI
  59. Walkey, 2012, Nanoparticle size and surface chemistry determine serum protein adsorption and macrophage uptake, J. Am. Chem. Soc., 134, 2139, 10.1021/ja2084338 · DOI · Paper page
  60. Cho, 2009, Understanding the role of surface charges in cellular adsorption versus internalization by selectively removing gold nanoparticles on the cell surface with a I-2/KI etchant, Nano Lett., 9, 1080, 10.1021/nl803487r · DOI
  61. Granger, 1996, Measurement of nitrate and nitrite in biological samples using nitrate reductase and griess reaction, Methods Enzymol., 268, 142, 10.1016/S0076-6879(96)68016-1 · DOI
  62. Blume, 2020, Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona, Nat. Commun., 11, 3662, 10.1038/s41467-020-17033-7 · DOI
  63. Liang, 2020, Evolution of self-compatibility by a mutant S-m-RNase in citrus, Nat. Plants, 6, 131, 10.1038/s41477-020-0597-3 · DOI
  64. Kristoffersen, 2019, FTIR-based hierarchical modeling for prediction of average molecular weights of protein hydrolysates, Talanta, 205, 10.1016/j.talanta.2019.06.084 · DOI
  65. Yang, 2015, Obtaining information about protein secondary structures in aqueous solution using fourier transform IR spectroscopy, Nat. Protoc., 10, 382, 10.1038/nprot.2015.024 · DOI
  66. Barrán-Berdón, 2013, Time evolution of nanoparticle-protein corona in human plasma: relevance for targeted drug delivery, Langmuir, 29, 6485, 10.1021/la401192x · DOI
  67. Palchetti, 2017, Influence of dynamic flow environment on nanoparticle-protein corona: from protein patterns to uptake in cancer cells, Colloids Surf. B: Biointerfaces, 153, 263, 10.1016/j.colsurfb.2017.02.037 · DOI
  68. Zhang, 2017, Probing the binding affinity of plasma proteins adsorbed on au nanoparticles, Nanoscale, 9, 4787, 10.1039/C7NR01523B · DOI
  69. Marklein, 2018, Functionally-relevant morphological profiling: a tool to assess cellular heterogeneity, Trends Biotechnol., 36, 105, 10.1016/j.tibtech.2017.10.007 · DOI
  70. Phillip, 2017, Biophysical and biomolecular determination of cellular age in humans, Nat. Biomed. Eng., 1, 0093, 10.1038/s41551-017-0093 · DOI
  71. McWhorter, 2013, Modulation of macrophage phenotype by cell shape, Proc. Natl. Acad. Sci., 110, 17253, 10.1073/pnas.1308887110 · DOI · Paper page
  72. Rodell, 2018, TLR7/8-agonist-loaded nanoparticles promote the polarization of tumour-associated macrophages to enhance cancer immunotherapy, Nat. Biomed. Eng., 2, 578, 10.1038/s41551-018-0236-8 · DOI · Paper page
  73. Versaevel, 2012, Spatial coordination between cell and nuclear shape within micropatterned endothelial cells, Nat. Commun., 3, 671, 10.1038/ncomms1668 · DOI
  74. McWhorter, 2013, Modulation of macrophage phenotype by cell shape, Proc. Natl. Acad. Sci. U. S. A., 110, 17253, 10.1073/pnas.1308887110 · DOI · Paper page
  75. Lawrence, 2011, Transcriptional regulation of macrophage polarization: enabling diversity with identity, Nat. Rev. Immunol., 11, 750, 10.1038/nri3088 · DOI · Paper page
  76. Jablonski, 2015, Novel markers to delineate murine M1 and M2 macrophages, PLoS One, 10, 10.1371/journal.pone.0145342 · DOI · Paper page
  77. Baig, 2015, NOS1-derived nitric oxide promotes NF-κB transcriptional activity through inhibition of suppressor of cytokine signaling-1, J. Exp. Med., 212, 1725, 10.1084/jem.20140654 · DOI
  78. Ding, 2021, Lycium barbarum polysaccharide antagonizes LPS-induced inflammation by altering the glycolysis and differentiation of macrophages by triggering the degradation of PKM2, Biol. Pharm. Bull., 44, 379, 10.1248/bpb.b20-00752 · DOI
  79. Mei, 2018, Protein-corona-by-design in 2D: a reliable platform to decode bio-nano interactions for the next-generation quality-by-design nanomedicines, Adv. Mater., 30, 10.1002/adma.201802732 · DOI
  80. Yang, 2019, Boosting phototherapeutic efficiency with single NIR laser-activated ultrasmall bismuth sulfide quantum dots, Chem. Eng. J., 375, 10.1016/j.cej.2019.121941 · DOI

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Metadata

Authors
Yang, H., Lu, S., Wang, S., Liu, L., Zhu, B., Yu, S., Yang, S., & Chang, J.
Venue
International Journal of Biological Macromolecules
Publisher
Elsevier BV
Published
2021-11
Volume
191
Pages
192-200
ISSN
0141-8130
Cited by
18
References
4
Language
en

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Yang, H., Lu, S., Wang, S., Liu, L., Zhu, B., Yu, S., Yang, S., & Chang, J. (2021). Evolution of the protein corona affects macrophage polarization. International Journal of Biological Macromolecules. https://doi.org/10.1016/j.ijbiomac.2021.09.081