journal article·2024-07-08

Three-Dimensional Mechanical Microenvironment Rescued the Decline of Osteogenic Differentiation of Old Human Jaw Bone Marrow Mesenchymal Stem Cells

Cheng Hu, Qiyuan Yang, Xiaojun Huang, Fei Wang, Hong Zhou, Xiaoxia Su

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Abstract

Resorption and atrophy of the alveolar bone, as two consequences of osteoporosis that remarkably complicate the orthodontic and prosthodontic treatments, contribute to the differentiated biological features and force-induced response of jaw bone marrow-derived mesenchymal stem cells (JBMSCs) in elderly patients. We isolated and cultured JBMSCs from adolescent and adult patients and then simulated the loading of orthodontic tension stress by constructing an in vitro three-dimensional (3D) stress loading model. The decline in osteogenic differentiation of aged JBMSCs was reversed by tensile stress stimulation. It is interesting to note that tension stimulation had a stronger effect on the osteogenic differentiation of elderly JBMSCs compared to the young ones, indicating a possible mechanism of aging rescue. High-throughput sequencing of microRNA (miRNAs) was subsequently performed before and after tension stimulation in all JBMSCs, followed by the comprehensive comparison of mechanically responsive miRNAs in the 3D strain microenvironment. The results suggested a significant reduction in the expression of miR-210-3p and miR-214-3p triggered by the 3D strain microenvironment in old-JBMSCs. Bioinformatic analysis indicated that both miRNAs participate in the regulation of critical pathways of aging and cellular senescence. Taken together, this study demonstrated that the 3D strain microenvironment efficiently rescued the cellular senescence of old-JBMSCs via modulating specific miRNAs, which provides a novel strategy for coordinating periodontal bone loss and regeneration of the elderly.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Mesenchymal stem cell research · MicroRNA in disease regulation · Bone Tissue Engineering Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Department of Pediatric Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan 610041, China

Hospital of Stomatology & Guangdong Provincial Key Laboratory of Stomatology & Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou 510055, China

Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, Department of Orthodontics, College of Stomatology, Xi’an Jiaotong University, Xi’an 710004, China

Funding

National Natural Science Foundation of China · Key Project of Sichuan province

References (78)

Show source-provided references
1. 10.1007/s00223-020-00680-910.1007/s00223-020-00680-9 ↗
2. 10.1097/BRS.000000000000129110.1097/BRS.0000000000001291 ↗
3. 10.3892/ijmm.2020.483910.3892/ijmm.2020.4839 ↗
4. 10.3389/fbioe.2021.59179610.3389/fbioe.2021.591796 ↗
5. 10.1097/SCS.0b013e318280133310.1097/SCS.0b013e3182801333 ↗
6. 10.1136/bcr-2020-23558510.1136/bcr-2020-235585 ↗
7. 10.1111/j.1600-0757.2011.00435.x10.1111/j.1600-0757.2011.00435.x ↗
8. 10.1016/j.jbiomech.2014.05.01210.1016/j.jbiomech.2014.05.012 ↗
9. 10.1016/j.tripleo.2005.04.01010.1016/j.tripleo.2005.04.010 ↗
10. 10.3389/fbioe.2022.83072210.3389/fbioe.2022.830722 ↗
11. 10.1002/jbm4.1059210.1002/jbm4.10592 ↗
12. Wu Y. · Am. J. Transl. Res. · 2019 · 11 · 3398
13. 10.1007/s40778-021-00186-610.1007/s40778-021-00186-6 ↗
14. 10.1111/ger.1236210.1111/ger.12362 ↗
15. 10.1186/s12859-020-03732-x10.1186/s12859-020-03732-x ↗
16. 10.1016/j.ygeno.2020.05.01110.1016/j.ygeno.2020.05.011 ↗
17. 10.2174/157489361599920050809161510.2174/1574893615999200508091615 ↗
18. 10.3389/fgene.2021.77698410.3389/fgene.2021.776984 ↗
19. 10.1186/s12951-022-01267-210.1186/s12951-022-01267-2 ↗
20. 10.1515/bmc-2021-001510.1515/bmc-2021-0015 ↗
21. 10.1186/s13287-021-02400-y10.1186/s13287-021-02400-y ↗
22. 10.1186/s13287-019-1309-710.1186/s13287-019-1309-7 ↗
23. 10.21037/atm-22-275310.21037/atm-22-2753 ↗
24. 10.3390/medicina5806076710.3390/medicina58060767 ↗
25. 10.1007/s00774-017-0886-810.1007/s00774-017-0886-8 ↗
26. 10.1152/physiolgenomics.00107.201410.1152/physiolgenomics.00107.2014 ↗
27. 10.1093/cvr/cvt09610.1093/cvr/cvt096 ↗
28. 10.3760/cma.j.issn.0366-6999.2012313710.3760/cma.j.issn.0366-6999.20123137 ↗
29. 10.1074/jbc.m110.10114710.1074/jbc.m110.101147 ↗
30. 10.1002/jbmr.235210.1002/jbmr.2352 ↗
31. 10.1096/fj.11-18513210.1096/fj.11-185132 ↗
32. 10.1038/s41419-018-0279-510.1038/s41419-018-0279-5 ↗
33. 10.1038/nprot.2006.43010.1038/nprot.2006.430 ↗
34. 10.1016/j.cej.2020.12804010.1016/j.cej.2020.128040 ↗
35. 10.1089/ars.2010.344410.1089/ars.2010.3444 ↗
36. 10.3390/ijms2217932310.3390/ijms22179323 ↗
37. Tang Z. L. · Shanghai Kou Qiang Yi Xue · 2022 · 31 · 120
38. 10.1186/1471-2121-7-1410.1186/1471-2121-7-14 ↗
39. 10.1016/j.arr.2005.10.00110.1016/j.arr.2005.10.001 ↗
40. 10.3389/fbioe.2021.80278910.3389/fbioe.2021.802789 ↗
41. 10.1016/j.bbrc.2006.07.17510.1016/j.bbrc.2006.07.175 ↗
42. 10.1152/ajpcell.1997.273.3.c81010.1152/ajpcell.1997.273.3.c810 ↗
43. 10.1186/1746-160x-2-810.1186/1746-160x-2-8 ↗
44. 10.1016/s0021-9290(03)00237-910.1016/s0021-9290(03)00237-9 ↗
45. 10.3892/br.2013.8410.3892/br.2013.84 ↗
46. 10.3892/ijmm.2012.93410.3892/ijmm.2012.934 ↗
47. 10.1155/2014/18951610.1155/2014/189516 ↗
48. 10.1186/s12886-017-0437-z10.1186/s12886-017-0437-z ↗
49. 10.1107/S205225252100505410.1107/S2052252521005054 ↗
50. 10.1109/TNSRE.2022.317089210.1109/TNSRE.2022.3170892 ↗
51. 10.3390/bioengineering905019310.3390/bioengineering9050193 ↗
52. 10.1097/PRS.000000000000527410.1097/PRS.0000000000005274 ↗
53. Sebag J. · Invest. Opthalmology Visual Sci. · 1994 · 35 · 2976
54. 10.1002/jcp.2891610.1002/jcp.28916 ↗
55. 10.1074/jbc.M112.35671710.1074/jbc.M112.356717 ↗
56. 10.3389/fimmu.2022.98227810.3389/fimmu.2022.982278 ↗
57. 10.1126/sciadv.abf046610.1126/sciadv.abf0466 ↗
58. 10.14348/molcells.2019.227510.14348/molcells.2019.2275 ↗
59. 10.3389/fncel.2019.0022310.3389/fncel.2019.00223 ↗
60. 10.3892/br.2016.77910.3892/br.2016.779 ↗
61. 10.1186/s13018-022-03315-x10.1186/s13018-022-03315-x ↗
62. 10.1038/ncomms1087210.1038/ncomms10872 ↗
63. 10.1007/s11033-022-07136-310.1007/s11033-022-07136-3 ↗
64. 10.1016/j.biopha.2018.10.15910.1016/j.biopha.2018.10.159 ↗
65. 10.1038/s41420-019-0223-110.1038/s41420-019-0223-1 ↗
66. 10.1186/s12935-020-01684-z10.1186/s12935-020-01684-z ↗
67. 10.1016/j.lfs.2021.11939610.1016/j.lfs.2021.119396 ↗
68. 10.1016/j.cell.2011.02.02310.1016/j.cell.2011.02.023 ↗
69. 10.1016/j.mtbio.2022.10043410.1016/j.mtbio.2022.100434 ↗
70. 10.1038/s41419-021-03939-710.1038/s41419-021-03939-7 ↗
71. 10.3892/ijmm.2019.438310.3892/ijmm.2019.4383 ↗
72. 10.1016/j.intimp.2021.10817710.1016/j.intimp.2021.108177 ↗
73. 10.1089/gtmb.2015.028210.1089/gtmb.2015.0282 ↗
74. 10.18632/aging.10327110.18632/aging.103271 ↗
75. 10.18632/aging.10072810.18632/aging.100728 ↗
76. 10.1007/s00018-019-03152-y10.1007/s00018-019-03152-y ↗
77. 10.21037/atm-22-372410.21037/atm-22-3724 ↗
78. 10.3389/fmed.2021.78896910.3389/fmed.2021.788969 ↗