21st Century Tools for Nanotoxicology: Transcriptomic Biomarker Panel and Precision‐Cut Lung Slice Organ Mimic System for the Assessment of Nanomaterial‐Induced Lung Fibrosis
Source abstract
Abstract
Abstract There is an urgent need for reliable toxicity assays to support the human health risk assessment of an ever increasing number of engineered nanomaterials (ENMs). Animal testing is not a suitable option for ENMs. Sensitive in vitro models and mechanism‐based targeted in vitro assays that enable accurate prediction of in vivo responses are not yet available. In this proof‐of‐principle study, publicly available mouse lung transcriptomics data from studies investigating xenobiotic‐induced lung diseases are used and a 17‐gene biomarker panel (PFS17) applicable to the assessment of lung fibrosis is developed. The PFS17 is validated using a limited number of in vivo mouse lung transcriptomics datasets from studies investigating ENM‐induced responses. In addition, an ex vivo precision‐cut lung slice (PCLS) model is optimized for screening of potentially inflammogenic and pro‐fibrotic ENMs. Using bleomycin and a multiwalled carbon nanotube, the practical application of the PCLS method as a sensitive alternative to whole animal tests to screen ENMs that may potentially induce inhalation toxicity is shown. Conditional to further optimization and validation, it is established that a combination of PFS17 and the ex vivo PCLS method will serve as a robust and sensitive approach to assess lung inflammation and fibrosis induced by ENMs.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: MicroRNA in disease regulation · Nanoparticles: synthesis and applications · Molecular Biology Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Environmental Health Science and Research Bureau Health Canada Sir Frederick G Banting Research Centre 251 Sir Frederick Banting Driveway, Building 22 Ottawa ON K1A 0K9 Canada
National Research Centre for the Working Environment Lersø Parkallé 105 Copenhagen 2100 Denmark
Department of Micro‐ and Nanotechnology Technical University of Denmark Building 101A 2800 Copenhagen Lyngby Denmark
Funding
Health Canada's Genomics Research and Development Initiative
References (86)
Show source-provided references
1. 10.1002/wnan.10810.1002/wnan.108 ↗
2. 10.3109/10408444.2012.73818710.3109/10408444.2012.738187 ↗
3. 10.1093/toxsci/kfq37210.1093/toxsci/kfq372 ↗
4. 10.1016/j.toxlet.2012.08.01910.1016/j.toxlet.2012.08.019 ↗
5. 10.1016/j.tox.2006.11.00210.1016/j.tox.2006.11.002 ↗
6. 10.1093/mutage/gew05410.1093/mutage/gew054 ↗
7. 10.1002/em.2193610.1002/em.21936 ↗
8. 10.1016/j.taap.2013.03.01810.1016/j.taap.2013.03.018 ↗
9. 10.1186/s12989-017-0218-010.1186/s12989-017-0218-0 ↗
10. 10.1080/17435390.2016.120235110.1080/17435390.2016.1202351 ↗
11. 10.1371/journal.pone.017416710.1371/journal.pone.0174167 ↗
12. 10.1371/journal.pone.008045210.1371/journal.pone.0080452 ↗
13. 10.1093/mutage/gew04810.1093/mutage/gew048 ↗
14. 10.1016/j.mrgentox.2017.08.00510.1016/j.mrgentox.2017.08.005 ↗
15. 10.1186/s12989-016-0137-510.1186/s12989-016-0137-5 ↗
16. 10.3762/bjnano.6.25210.3762/bjnano.6.252 ↗
17. 10.1016/j.dib.2017.10.06010.1016/j.dib.2017.10.060 ↗
18. 10.1186/s12989-016-0125-910.1186/s12989-016-0125-9 ↗
19. 10.1164/rccm.200702-333OC10.1164/rccm.200702-333OC ↗
20. 10.1093/toxsci/kfm02310.1093/toxsci/kfm023 ↗
21. 10.1038/msb410013810.1038/msb4100138 ↗
22. 10.1152/ajplung.90369.200810.1152/ajplung.90369.2008 ↗
23. 10.1016/j.ajpath.2011.12.02010.1016/j.ajpath.2011.12.020 ↗
24. 10.1158/0008-5472.CAN-09-422810.1158/0008-5472.CAN-09-4228 ↗
25. 10.1158/1940-6207.CAPR-10-018010.1158/1940-6207.CAPR-10-0180 ↗
26. 10.4049/jimmunol.100096410.4049/jimmunol.1000964 ↗
27. 10.1177/019262331244754310.1177/0192623312447543 ↗
28. 10.1371/journal.pone.005934810.1371/journal.pone.0059348 ↗
29. 10.1158/1078-0432.CCR-13-258910.1158/1078-0432.CCR-13-2589 ↗
30. 10.1152/ajplung.00092.201410.1152/ajplung.00092.2014 ↗
31. 10.1136/thoraxjnl-2014-20642010.1136/thoraxjnl-2014-206420 ↗
32. 10.1158/1078-0432.CCR-13-105910.1158/1078-0432.CCR-13-1059 ↗
33. 10.1371/journal.pgen.100329110.1371/journal.pgen.1003291 ↗
34. 10.1289/ehp.100332610.1289/ehp.1003326 ↗
35. 10.1289/ehp.100218210.1289/ehp.1002182 ↗
36. 10.1152/ajplung.00205.201510.1152/ajplung.00205.2015 ↗
37. 10.1016/j.ijrobp.2012.02.01310.1016/j.ijrobp.2012.02.013 ↗
38. 10.1093/jnci/djt21210.1093/jnci/djt212 ↗
39. 10.1242/dmm.02821710.1242/dmm.028217 ↗
40. 10.1080/09553002.2018.151690710.1080/09553002.2018.1516907 ↗
41. 10.1080/15287394.2012.69985210.1080/15287394.2012.699852 ↗
42. 10.1186/s12989-014-0048-210.1186/s12989-014-0048-2 ↗
43. 10.1016/j.taap.2014.12.01110.1016/j.taap.2014.12.011 ↗
44. 10.1016/j.impact.2019.10015810.1016/j.impact.2019.100158 ↗
45. 10.1016/j.tox.2009.10.01710.1016/j.tox.2009.10.017 ↗
46. 10.1016/j.taap.2014.12.01110.1016/j.taap.2014.12.011 ↗
47. 10.1007/s00204-016-1711-110.1007/s00204-016-1711-1 ↗
48. 10.1002/ar.2074710.1002/ar.20747 ↗
49. 10.1002/jcp.2408210.1002/jcp.24082 ↗
50. 10.1002/pmic.20130053910.1002/pmic.201300539 ↗
51. 10.1165/rcmb.2016-0121TR10.1165/rcmb.2016-0121TR ↗
52. 10.1016/j.jes.2017.08.01810.1016/j.jes.2017.08.018 ↗
53. 10.1186/s12989-017-0225-110.1186/s12989-017-0225-1 ↗
54. 10.1002/wnan.149810.1002/wnan.1498 ↗
55. 10.1038/srep3130410.1038/srep31304 ↗
56. 10.1186/s12989-016-0134-810.1186/s12989-016-0134-8 ↗
57. 10.1172/JCI3148710.1172/JCI31487 ↗
58. 10.1016/S0065-2776(07)96005-810.1016/S0065-2776(07)96005-8 ↗
59. 10.4049/jimmunol.175.3.189410.4049/jimmunol.175.3.1894 ↗
60. 10.1371/journal.pone.000933710.1371/journal.pone.0009337 ↗
61. 10.1183/09031936.05.0008260410.1183/09031936.05.00082604 ↗
62. 10.1371/journal.pone.006196110.1371/journal.pone.0061961 ↗
63. 10.1371/journal.ppat.100039310.1371/journal.ppat.1000393 ↗
64. 10.1093/ecco-jcc/jjz03910.1093/ecco-jcc/jjz039 ↗
65. 10.1371/journal.pone.002544510.1371/journal.pone.0025445 ↗
66. 10.1016/j.tiv.2016.01.00610.1016/j.tiv.2016.01.006 ↗
67. 10.1186/s12995-017-0158-510.1186/s12995-017-0158-5 ↗
68. 10.1093/toxsci/kfs15010.1093/toxsci/kfs150 ↗
69. 10.1371/journal.pone.007172810.1371/journal.pone.0071728 ↗
70. 10.1016/j.taap.2013.12.01710.1016/j.taap.2013.12.017 ↗
71. 10.1038/s41598-017-18555-910.1038/s41598-017-18555-9 ↗
72. 10.1165/rcmb.2005-0359OC10.1165/rcmb.2005-0359OC ↗
73. 10.1002/art.3015910.1002/art.30159 ↗
74. 10.1371/journal.pone.000048210.1371/journal.pone.0000482 ↗
75. 10.1038/srep4259510.1038/srep42595 ↗
76. 10.1186/s12931-017-0669-810.1186/s12931-017-0669-8 ↗
77. 10.1164/rccm.201311-1986OC10.1164/rccm.201311-1986OC ↗
78. 10.1093/nar/30.4.e1510.1093/nar/30.4.e15 ↗
79. R Core Team
80. 10.1093/bioinformatics/btg40510.1093/bioinformatics/btg405 ↗
81. 10.1093/bioinformatics/btn22410.1093/bioinformatics/btn224 ↗
82. Kaiser S. · 2013
83. 10.1093/bioinformatics/btl06010.1093/bioinformatics/btl060 ↗
84. 10.1073/pnas.08209929910.1073/pnas.082099299 ↗
85. Hastie T. · 2019
86. 10.3109/17435390.2014.99619210.3109/17435390.2014.996192 ↗