Engineering Sensory Ganglion Multicellular System to Model Tissue Nerve Ingrowth
Source abstract
Abstract
Abstract Discogenic pain is associated with deep nerve ingrowth in annulus fibrosus tissue (AF) of intervertebral disc (IVD). To model AF nerve ingrowth, primary bovine dorsal root ganglion (DRG) micro‐scale tissue units are spatially organised around an AF explant by mild hydrodynamic forces within a collagen matrix. This results in a densely packed multicellular system mimicking the native DRG tissue morphology and a controlled AF‐neuron distance. Such a multicellular organisation is essential to evolve populational‐level cellular functions and in vivo‐like morphologies. Pro‐inflammatory cytokine‐primed AF demonstrates its neurotrophic and neurotropic effects on nociceptor axons. Both effects are dependent on the AF‐neuron distance underpinning the role of recapitulating inter‐tissue/organ anatomical proximity when investigating their crosstalk. This is the first in vitro model studying AF nerve ingrowth by engineering mature and large animal tissues in a morphologically and physiologically relevant environment. The new approach can be used to biofabricate multi‐tissue/organ models for untangling pathophysiological conditions and develop novel therapies.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Pain Management and Treatment · 3D Printing in Biomedical Research · Neuroscience and Neural Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
AO Research Institute Clavadelerstrasse 8 Davos 7270 Switzerland
ETH Zürich Rämistrasse 101 Zürich 8092 Switzerland
Complex Tissue Regeneration Department MERLN Institute for Technology‐Inspired Regenerative Medicine Maastricht University Universiteitssingel 40 Maastricht 6229ET Netherlands
Funding
AO Foundation
References (80)
Show source-provided references
1. 10.1097/00003086-199806000-0002810.1097/00003086-199806000-00028 ↗
2. 10.2741/428010.2741/4280 ↗
3. 10.1038/nrrheum.2012.8010.1038/nrrheum.2012.80 ↗
4. 10.1097/01.brs.0000201324.45537.4610.1097/01.brs.0000201324.45537.46 ↗
5. 10.1302/0301-620X.87B1.1570810.1302/0301-620X.87B1.15708 ↗
6. 10.1097/00007632-200112010-0000710.1097/00007632-200112010-00007 ↗
7. 10.1016/j.pain.2014.08.02610.1016/j.pain.2014.08.026 ↗
8. 10.1097/00007632-199910150-0000210.1097/00007632-199910150-00002 ↗
9. 10.1002/jor.110012020610.1002/jor.1100120206 ↗
10. 10.1016/S0140-6736(97)02135-110.1016/S0140-6736(97)02135-1 ↗
11. 10.1016/B978-0-12-809324-5.03129-110.1016/B978-0-12-809324-5.03129-1 ↗
12. 10.1016/j.neuron.2006.09.02110.1016/j.neuron.2006.09.021 ↗
13. 10.3389/fncel.2019.0027110.3389/fncel.2019.00271 ↗
14. 10.1097/01.brs.0000219946.25103.db10.1097/01.brs.0000219946.25103.db ↗
15. 10.1097/BRS.000000000000033410.1097/BRS.0000000000000334 ↗
16. 10.1007/s00586-007-0414-y10.1007/s00586-007-0414-y ↗
17. 10.1038/nature1399210.1038/nature13992 ↗
18. 10.1038/sj.ejhg.520153510.1038/sj.ejhg.5201535 ↗
19. 10.1038/s41580-020-0259-310.1038/s41580-020-0259-3 ↗
20. 10.1038/s41578-021-00279-y10.1038/s41578-021-00279-y ↗
21. 10.1126/sciadv.aaz585810.1126/sciadv.aaz5858 ↗
22. 10.1007/978-1-60761-938-3_610.1007/978-1-60761-938-3_6 ↗
23. 10.1016/j.neuron.2016.07.04410.1016/j.neuron.2016.07.044 ↗
24. Hanani M. · Brain Res. · 2012 · 183 · 1487
25. 10.1016/j.biomaterials.2008.12.08410.1016/j.biomaterials.2008.12.084 ↗
26. 10.1007/s10439-016-1704-510.1007/s10439-016-1704-5 ↗
27. 10.1186/1744-8069-2-2810.1186/1744-8069-2-28 ↗
28. 10.1016/j.mtbio.2021.10011010.1016/j.mtbio.2021.100110 ↗
29. 10.1088/1758-5090/abbb9c10.1088/1758-5090/abbb9c ↗
30. 10.1002/adma.20190571310.1002/adma.201905713 ↗
31. 10.1146/annurev.cb.07.110191.00100110.1146/annurev.cb.07.110191.001001 ↗
32. 10.1038/nrrheum.2013.16010.1038/nrrheum.2013.160 ↗
33. 10.5966/sctm.2015-030510.5966/sctm.2015-0305 ↗
34. 10.1177/175909142097480710.1177/1759091420974807 ↗
35. 10.1038/nature1251710.1038/nature12517 ↗
36. 10.1523/JNEUROSCI.2170-14.201510.1523/JNEUROSCI.2170-14.2015 ↗
37. 10.1016/S1369-7021(08)70088-910.1016/S1369-7021(08)70088-9 ↗
38. 10.1038/s41467-021-21725-z10.1038/s41467-021-21725-z ↗
39. 10.1016/j.mcn.2011.02.01210.1016/j.mcn.2011.02.012 ↗
40. 10.1002/admi.20210004810.1002/admi.202100048 ↗
41. 10.1523/JNEUROSCI.1121-09.200910.1523/JNEUROSCI.1121-09.2009 ↗
42. 10.1039/C4LC00162A10.1039/C4LC00162A ↗
43. 10.1523/JNEUROSCI.1121-09.200910.1523/JNEUROSCI.1121-09.2009 ↗
44. 10.1186/1471-2202-8-10010.1186/1471-2202-8-100 ↗
45. 10.1016/j.pain.2014.06.02010.1016/j.pain.2014.06.020 ↗
46. 10.1073/pnas.040849410210.1073/pnas.0408494102 ↗
47. 10.1016/j.pain.2011.08.01510.1016/j.pain.2011.08.015 ↗
48. 10.1007/s00424000027710.1007/s004240000277 ↗
49. 10.1007/s00221-009-1760-210.1007/s00221-009-1760-2 ↗
50. 10.1016/S0140-6736(20)30925-910.1016/S0140-6736(20)30925-9 ↗
51. 10.1111/j.1526-4637.2010.01045.x10.1111/j.1526-4637.2010.01045.x ↗
52. 10.4103/1673-5374.29534110.4103/1673-5374.295341 ↗
53. 10.3389/fnmol.2014.0008710.3389/fnmol.2014.00087 ↗
54. 10.1080/03008207.2019.166565210.1080/03008207.2019.1665652 ↗
55. 10.1073/pnas.090925410710.1073/pnas.0909254107 ↗
56. 10.1002/jbm.b.3529410.1002/jbm.b.35294 ↗
57. 10.1002/jsp2.109010.1002/jsp2.1090 ↗
58. 10.1111/j.1460-9568.2008.06577.x10.1111/j.1460-9568.2008.06577.x ↗
59. 10.1016/j.neuroscience.2017.11.04710.1016/j.neuroscience.2017.11.047 ↗
60. 10.1016/j.neulet.2011.06.03410.1016/j.neulet.2011.06.034 ↗
61. 10.22203/eCM.v030a0810.22203/eCM.v030a08 ↗
62. 10.1186/ar227510.1186/ar2275 ↗
63. 10.1007/s00586-023-07672-x10.1007/s00586-023-07672-x ↗
64. 10.1093/rheumatology/ken05610.1093/rheumatology/ken056 ↗
65. 10.1016/j.spinee.2015.11.01910.1016/j.spinee.2015.11.019 ↗
66. Wang D. · Spine J · 2023
67. 10.1002/jsp2.101410.1002/jsp2.1014 ↗
68. 10.1038/nrrheum.2012.8010.1038/nrrheum.2012.80 ↗
69. 10.1073/pnas.151260311310.1073/pnas.1512603113 ↗
70. 10.1002/adfm.20180464710.1002/adfm.201804647 ↗
71. 10.1093/bioinformatics/btr39010.1093/bioinformatics/btr390 ↗
72. 10.3390/ijms2218972510.3390/ijms22189725 ↗
73. 10.1002/jsp2.126710.1002/jsp2.1267 ↗
74. S.Andrews http://www.bioinformatics.babraham.ac.uk/projects/fastqc/2010.
75. 10.1186/1471-2105-12-32310.1186/1471-2105-12-323 ↗
76. 10.1093/bioinformatics/bts63510.1093/bioinformatics/bts635 ↗
77. 10.1093/nar/gkac95810.1093/nar/gkac958 ↗
78. 10.1186/s13059-014-0550-810.1186/s13059-014-0550-8 ↗
79. 10.1038/s41467-019-09234-610.1038/s41467-019-09234-6 ↗
80. 10.1093/nar/gkac100010.1093/nar/gkac1000 ↗