journal article·2025-10Open access

Adipose Tissue Macrophages as Initiators of Exacerbated Periodontitis in Estrogen‐Deficient Environments via the Amplifier Extracellular Vesicles

Danfeng Li, Tian Yang, Yuqian Li, Xinwei Lyu, Cheng Hu, Jiayin Yan, Jiali Tan

Advanced Science· Volume 12· Issue 37

Abstract

Abstract Periodontitis in menopausal women tends to exacerbate, potentially resulting in tooth loss and increased risk of systemic diseases. The prior research demonstrates that pro‐inflammatory changes in macrophages under estrogen deficiency exacerbate periodontitis. However, the primary environmental factors contributing to the alteration of monocyte‐macrophages remain unknown. Recent studies, including animal models and clinical trials, have found a correlation between accumulation of visceral adipose tissue (VAT) and periodontitis progression in postmenopausal women. In estrogen‐deficient mice, macrophages in VAT show a pro‐inflammatory state. Removing VAT alleviates periodontitis in OVX mice. DNA methylation sequencing shows increased methylation in macrophages, especially Jazf1 hypermethylation, inhibiting its expression and promoting inflammation. Subsequently, small extracellular vesicles (sEVs) derived from pro‐inflammatory macrophages further intensify M1‐like polarization in resting macrophages, carrying inflammatory microRNAs like miR‐30e‐5p. Overall, this study proposes a novel perspective: periodontal pathogens act as initial triggers for inflammation, while chronic systemic inflammation, worsened by estrogen deficiency, is the main factor that exacerbates periodontitis. Pro‐inflammatory macrophages in VAT release sEVs, which activate resting macrophages into a pro‐inflammatory state upon encountering periodontal pathogens, resulting in persistent inflammation. Addressing the root causes of this dysregulation can lead to new therapeutic strategies for periodontitis and systemic inflammatory conditions, particularly in postmenopausal women.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Extracellular vesicles in disease · Immune cells in cancer · Immune Response and Inflammation

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

Affiliations

Hospital of Stomatology Sun Yat‐sen University Guangzhou 510055 China

Guangdong Provincial Key Laboratory of Stomatology Guangzhou 510080 China

Guanghua School of Stomatology Sun Yat‐sen University Guangzhou 510080 China

Funding

National Natural Science Foundation of China · Basic and Applied Basic Research Foundation of Guangdong Province · China Postdoctoral Science Foundation

References (53)

Show source-provided references
1. 10.1111/jcpe.1376910.1111/jcpe.13769 ↗
2. 10.1111/prd.1242210.1111/prd.12422 ↗
3. 10.1016/j.cej.2022.13487010.1016/j.cej.2022.134870 ↗
4. 10.1186/s13075-018-1701-110.1186/s13075-018-1701-1 ↗
5. 10.1111/prd.1245710.1111/prd.12457 ↗
6. 10.1016/j.orcp.2015.03.01010.1016/j.orcp.2015.03.010 ↗
7. 10.1038/s41574-019-0230-610.1038/s41574-019-0230-6 ↗
8. 10.7150/thno.4396810.7150/thno.43968 ↗
9. 10.1016/j.jhep.2022.08.01010.1016/j.jhep.2022.08.010 ↗
10. 10.1016/j.cmet.2013.05.00810.1016/j.cmet.2013.05.008 ↗
11. 10.1016/j.jhep.2023.10.03910.1016/j.jhep.2023.10.039 ↗
12. 10.1016/j.metabol.2011.10.00410.1016/j.metabol.2011.10.004 ↗
13. 10.2337/db13-060810.2337/db13-0608 ↗
14. 10.1016/j.it.2019.07.00610.1016/j.it.2019.07.006 ↗
15. 10.1186/s12974-021-02183-210.1186/s12974-021-02183-2 ↗
16. 10.1007/s11357-022-00536-010.1007/s11357-022-00536-0 ↗
17. 10.1007/s00125-017-4526-610.1007/s00125-017-4526-6 ↗
18. 10.2337/db16-050010.2337/db16-0500 ↗
19. 10.1084/jem.2021194810.1084/jem.20211948 ↗
20. 10.1111/j.1600-065X.2012.01151.x10.1111/j.1600-065X.2012.01151.x ↗
21. 10.3389/fimmu.2022.90874910.3389/fimmu.2022.908749 ↗
22. 10.1186/s12951-023-01869-410.1186/s12951-023-01869-4 ↗
23. 10.1021/acsnano.0c0186010.1021/acsnano.0c01860 ↗
24. 10.1080/20013078.2020.176937310.1080/20013078.2020.1769373 ↗
25. 10.1016/j.omtn.2020.03.01610.1016/j.omtn.2020.03.016 ↗
26. 10.1002/smll.20220030610.1002/smll.202200306 ↗
27. 10.1016/j.bioactmat.2021.06.00510.1016/j.bioactmat.2021.06.005 ↗
28. 10.1016/j.canlet.2022.01.01110.1016/j.canlet.2022.01.011 ↗
29. 10.1016/j.celrep.2020.10784610.1016/j.celrep.2020.107846 ↗
30. 10.2337/dc07-050210.2337/dc07-0502 ↗
31. 10.1210/er.2007-000110.1210/er.2007-0001 ↗
32. 10.1016/j.jaad.2004.08.03910.1016/j.jaad.2004.08.039 ↗
33. 10.1111/j.1365-4632.2008.04021.x10.1111/j.1365-4632.2008.04021.x ↗
34. 10.1146/annurev.immunol.24.021605.09064610.1146/annurev.immunol.24.021605.090646 ↗
35. 10.1155/2013/72050410.1155/2013/720504 ↗
36. 10.1172/JCI1106610.1172/JCI11066 ↗
37. 10.1111/j.0105-2896.2005.00326.x10.1111/j.0105-2896.2005.00326.x ↗
38. 10.1002/jcp.2997110.1002/jcp.29971 ↗
39. 10.1016/j.bbrc.2022.01.08510.1016/j.bbrc.2022.01.085 ↗
40. 10.1016/j.gendis.2022.10.02910.1016/j.gendis.2022.10.029 ↗
41. 10.12659/MSMBR.92412410.12659/MSMBR.924124 ↗
42. Meng F. · Biomed Res. Int. · 2018 · 2018 · 1
43. 10.1016/j.metabol.2010.04.02110.1016/j.metabol.2010.04.021 ↗
44. 10.1002/advs.20241615910.1002/advs.202416159 ↗
45. 10.7150/thno.6422910.7150/thno.64229 ↗
46. 10.1016/j.ymthe.2022.03.00810.1016/j.ymthe.2022.03.008 ↗
47. 10.3389/fimmu.2019.0104910.3389/fimmu.2019.01049 ↗
48. 10.3389/fcimb.2020.60401610.3389/fcimb.2020.604016 ↗
49. 10.3892/mmr.2017.738410.3892/mmr.2017.7384 ↗
50. 10.1016/j.intimp.2020.10649310.1016/j.intimp.2020.106493 ↗
51. 10.1159/00052575310.1159/000525753 ↗
52. 10.1007/s10787-022-00942-y10.1007/s10787-022-00942-y ↗
53. 10.3389/fbioe.2020.0044410.3389/fbioe.2020.00444 ↗