Effect of Cell Age on Uptake and Toxicity of Nanoparticles: The Overlooked Factor at the Nanobio Interface
Source abstract
Abstract
Clinical translation of nanotechnologies has limited success, at least in part, due to the existence of several overlooked factors on the nature of the nanosystem (e.g., physicochemical properties of nanoparticles), nanobio interfaces (e.g., protein corona composition), and the cellular characteristics (e.g., cell type). In the past decade, several ignored factors including personalized and disease-specific protein corona (a layer of formed biomolecules at the surface of nanoparticles upon their entrance into a biological fluid), incubating temperature, local temperature gradient, cell shape, and cell sex has been introduced. Here, it was hypothesized and validated cell age as another overlooked factor in the field of nanomedicine. To test our hypothesis, cellular toxicity and uptake profiles of our model nanoparticles (i.e., PEGylated quantum dots, QDs) were probed in young and senescent cells (i.e., IMR90 fibroblast cells from human fetal lung and CCD841CoN epithelial cells from human fetal colon) and the outcomes revealed substantial dependency of cell-nanoparticles interactions to the cell age. For example, it was observed that the PEGylated QDs were acutely toxic to senescent IMR90 and CCD841CoN cells, leading to lysosomal membrane permeabilization which caused cell necrosis; in contrast, the young cells were resilient to the exact same amount of QDs and the same incubation time. It was also found that the formation of protein corona could delay the QDs' toxicity on senescent cells. These findings suggest that the cellular aging process have a capacity to cause deteriorative effects on their organelles and normal functions. The outcomes of this study suggest the proof-of-concept that cell age may have critical role in biosystem responses to nanoparticle technologies. Therefore, the effect of cell age should be carefully considered on the nanobio interactions and the information about cellular age (e.g., passage number and age of the cell donor) should be included in the nanomedicine papers to facilitate clinical translation of nanotechnologies and to help scientists to better design and produce safe and efficient diagnostic/therapeutic age-specific nanoparticles.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Nanoparticles: synthesis and applications · Advanced biosensing and bioanalysis techniques · Nanoparticle-Based Drug Delivery
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia
Nano-Biotechnology Research and Innovation (NanoBRI), Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800 Penang, Malaysia
Precision Health Program, Michigan State University, East Lansing, Michigan 48824, United States
Funding
Michigan State University · Universiti Sains Malaysia
References (67)
Show source-provided references
1. Guggenheim E. J. · University of Birmingham · 2017
2. Majumdar J. D. · 2012 · 161
3. 10.1016/j.tibtech.2018.02.01410.1016/j.tibtech.2018.02.014 ↗
4. 10.1038/nrc.2016.10810.1038/nrc.2016.108 ↗
5. 10.1007/s11095-016-1958-510.1007/s11095-016-1958-5 ↗
6. 10.1038/natrevmats.2016.1410.1038/natrevmats.2016.14 ↗
7. 10.1016/j.nantod.2016.10.00510.1016/j.nantod.2016.10.005 ↗
8. 10.1016/j.biocel.2016.01.00510.1016/j.biocel.2016.01.005 ↗
9. 10.1186/s11671-015-0922-310.1186/s11671-015-0922-3 ↗
10. 10.1016/j.colsurfb.2009.08.04410.1016/j.colsurfb.2009.08.044 ↗
11. 10.1371/journal.pone.002999710.1371/journal.pone.0029997 ↗
12. 10.1021/nn305337c10.1021/nn305337c ↗
13. 10.1021/nl403419e10.1021/nl403419e ↗
14. 10.1039/C8NR09622H10.1039/C8NR09622H ↗
15. 10.1039/C2RA22093H10.1039/C2RA22093H ↗
16. 10.1039/C9NA00195F10.1039/C9NA00195F ↗
17. 10.1039/C5NR00520E10.1039/C5NR00520E ↗
18. Rahman, M.; Mahmoudi, M. In Disease Specific Protein Corona, Colloidal Nanoparticles for Biomedical Applications X; International Society for Optics and Photonics: 2015; p 93380V.10.1117/12.2079771 ↗
19. 10.1039/C6BM00921B10.1039/C6BM00921B ↗
20. 10.1039/C4BM00131A10.1039/C4BM00131A ↗
21. 10.1039/C7NR09502C10.1039/C7NR09502C ↗
22. 10.1021/nn202108810.1021/nn2021088 ↗
23. 10.1016/j.jcis.2018.07.01310.1016/j.jcis.2018.07.013 ↗
24. 10.1021/acsnano.7b0621210.1021/acsnano.7b06212 ↗
25. 10.3389/fgene.2016.0001310.3389/fgene.2016.00013 ↗
26. 10.1098/rstb.2009.022210.1098/rstb.2009.0222 ↗
27. 10.1042/BSR2016017710.1042/BSR20160177 ↗
28. 10.1111/acel.1248010.1111/acel.12480 ↗
29. 10.3390/cells708011010.3390/cells7080110 ↗
30. 10.3390/genes904021110.3390/genes9040211 ↗
31. 10.1186/2041-9414-2-710.1186/2041-9414-2-7 ↗
32. 10.1101/gad.197161010.1101/gad.1971610 ↗
33. 10.1161/CIRCRESAHA.111.24786610.1161/CIRCRESAHA.111.247866 ↗
34. 10.3389/fgene.2018.0024710.3389/fgene.2018.00247 ↗
35. 10.1155/2017/728069010.1155/2017/7280690 ↗
36. 10.1016/j.arr.2016.05.00310.1016/j.arr.2016.05.003 ↗
37. Debacq-Chainiaux F. · 2016 · 243
38. Wadhwa R. · 2016 · 145
39. Zhao H. · 2013 · 8310.1007/978-1-62703-239-1_5 ↗
40. 10.18632/aging.10087110.18632/aging.100871 ↗
41. 10.3934/molsci.2016.3.30010.3934/molsci.2016.3.300 ↗
42. 10.1021/nn406101210.1021/nn4061012 ↗
43. 10.1021/nn300223w10.1021/nn300223w ↗
44. 10.3762/bjnano.5.15110.3762/bjnano.5.151 ↗
45. 10.1016/j.actbio.2012.04.02410.1016/j.actbio.2012.04.024 ↗
46. 10.1021/nn200021j10.1021/nn200021j ↗
47. 10.1093/toxsci/kfs00610.1093/toxsci/kfs006 ↗
48. 10.1021/acsnano.5b0352110.1021/acsnano.5b03521 ↗
49. 10.1016/j.colcom.2014.07.00410.1016/j.colcom.2014.07.004 ↗
50. 10.2147/IJN.S7561510.2147/IJN.S75615 ↗
51. 10.1186/s11671-018-2728-610.1186/s11671-018-2728-6 ↗
52. 10.1186/1477-3155-12-510.1186/1477-3155-12-5 ↗
53. 10.1002/cbin.1042410.1002/cbin.10424 ↗
54. 10.1038/clpt.2012.19310.1038/clpt.2012.193 ↗
55. 10.1155/2018/415901310.1155/2018/4159013 ↗
56. 10.1016/j.tibs.2016.01.00510.1016/j.tibs.2016.01.005 ↗
57. 10.1016/j.cmet.2015.11.01110.1016/j.cmet.2015.11.011 ↗
58. 10.1016/j.ebiom.2017.03.02010.1016/j.ebiom.2017.03.020 ↗
59. 10.1038/s41418-018-0118-310.1038/s41418-018-0118-3 ↗
60. 10.1111/j.1749-6632.2002.tb02081.x10.1111/j.1749-6632.2002.tb02081.x ↗
61. 10.1096/fj.00-0723fje10.1096/fj.00-0723fje ↗
62. 10.1038/emm.2017.9410.1038/emm.2017.94 ↗
63. 10.1042/bj2003125310.1042/bj20031253 ↗
64. 10.1088/0957-4484/21/28/28510510.1088/0957-4484/21/28/285105 ↗
65. 10.1088/0957-4484/19/14/14510210.1088/0957-4484/19/14/145102 ↗
66. Kurz D. J. · J. Cell Sci. · 2000 · 113 · 361310.1242/jcs.113.20.3613 ↗
67. 10.1016/S0891-5849(02)00959-010.1016/S0891-5849(02)00959-0 ↗