journal article·2025-06Open access

Neuronal C/EBPβ Shortens the Lifespan via Inactivating NAMPT

Bowei Li, Zhongyun Xie, Mengmeng Wang, Shuke Nie, Zhengjiang Qian, Xin Meng, Xia Liu, Seong Su Kang, Keqiang Ye

Advanced Science· Volume 12· Issue 21

Abstract

Abstract The brain plays a central role in aging and longevity in diverse model organisms. Morphological and functional alteration in the aging brain elicits age‐associated neuronal dysfunctions. However, the primary mechanism deteriorating the brain functions to regulate the aging process remains incompletely understood. Here, it is shown that neuronal CCAAT/enhancer binding protein β (C/EBPβ) escalation during aging dictates the frailty and lifespan via inactivating nicotinamide phosphoribosyltransferase (NAMPT). Upregulated C/EBPβ drives neuronal senescence and neuronal loss, associated with NAMPT fragmentation by active asparagine endopeptidase (AEP), leading to nicotinamide adenine dinucleotide (NAD+) depletion. Knockout of AEP or expression of AEP‐resistant NAMPT N136A mutant significantly elongates the lifespan of neuronal‐specific Thy 1‐C/EBPβ transgenic mice. Overexpression of the C. elegans C/EBPβ ortholog cebp‐2 in neurons shortens lifespan and decreases NAD+ levels, which are restored by feeding nicotinamide mononucleotide (NMN) or AEP inhibitor #11a. Feeding NMN or #11a substantially ameliorates the cognitive and motor impairments of Thy 1‐C/EBPβ mice and increases the life expectancy. Notably, #11a demonstrates a better therapeutic effect than NMN in improving aging phenotype in Thy 1‐C/EBPβ transgenic mice, which show accelerated aging features. Hence, blockade of AEP via therapeutic intervention may provide an unprecedented strategy for fighting aging and various age‐associated diseases.
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Research context

OpenAlex topics: Genetics, Aging, and Longevity in Model Organisms · Adipose Tissue and Metabolism · Sirtuins and Resveratrol in Medicine

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

Affiliations

Brain Cognition and Brain Disease Institute (BCBDI) Shenzhen Institutes of Advanced Technology (SIAT) Chinese Academy of Sciences Shenzhen Guangdong 518055 China

University of Chinese Academy of Sciences Beijing 100049 China

Department of Neurology Renmin Hospital of Wuhan University Wuhan Hubei 430060 China

Department of Pathology and Laboratory Medicine Emory University School of Medicine Atlanta GA 30322 USA

Faculty of Life and Health Sciences Shenzhen University of Advanced Technology (SUAT) Shenzhen Guangdong 518055 China

Funding

National Natural Science Foundation of China · Shenzhen Science and Technology Innovation Program · Basic and Applied Basic Research Foundation of Guangdong Province

References (53)

Show source-provided references
1. 10.1038/nrn.2017.4210.1038/nrn.2017.42 ↗
2. 10.1016/S0149-7634(02)00060-X10.1016/S0149-7634(02)00060-X ↗
3. 10.1016/j.neuint.2007.04.01910.1016/j.neuint.2007.04.019 ↗
4. 10.1002/glia.2044610.1002/glia.20446 ↗
5. 10.1038/9052010.1038/90520 ↗
6. 10.1371/journal.pone.002484210.1371/journal.pone.0024842 ↗
7. 10.1023/B:NERE.0000023615.89699.6310.1023/B:NERE.0000023615.89699.63 ↗
8. 10.1038/nature0898310.1038/nature08983 ↗
9. 10.1038/s41467-018-04120-z10.1038/s41467-018-04120-z ↗
10. 10.1038/s41586-022-04463-010.1038/s41586-022-04463-0 ↗
11. 10.1038/nm.370010.1038/nm.3700 ↗
12. 10.1038/ncomms976210.1038/ncomms9762 ↗
13. 10.1126/sciadv.abj865810.1126/sciadv.abj8658 ↗
14. 10.7554/eLife.3498510.7554/eLife.34985 ↗
15. 10.1038/s41598-018-26579-y10.1038/s41598-018-26579-y ↗
16. 10.1016/j.brainres.2016.04.06010.1016/j.brainres.2016.04.060 ↗
17. 10.1186/s12883-015-0272-x10.1186/s12883-015-0272-x ↗
18. 10.1038/s41593-018-0332-910.1038/s41593-018-0332-9 ↗
19. 10.1073/pnas.201122611810.1073/pnas.2011226118 ↗
20. 10.1016/j.cell.2014.03.02610.1016/j.cell.2014.03.026 ↗
21. 10.1074/jbc.M40838820010.1074/jbc.M408388200 ↗
22. 10.1523/JNEUROSCI.4730-13.201410.1523/JNEUROSCI.4730-13.2014 ↗
23. 10.1001/jamaoncol.2018.248710.1001/jamaoncol.2018.2487 ↗
24. 10.1007/s12035-022-03142-510.1007/s12035-022-03142-5 ↗
25. 10.1038/npjamd.2016.1710.1038/npjamd.2016.17 ↗
26. 10.1038/nature1081510.1038/nature10815 ↗
27. 10.1016/j.cmet.2019.09.00110.1016/j.cmet.2019.09.001 ↗
28. 10.1126/science.aac485410.1126/science.aac4854 ↗
29. 10.1016/j.cell.2022.11.00110.1016/j.cell.2022.11.001 ↗
30. 10.1038/s41586-023-06017-410.1038/s41586-023-06017-4 ↗
31. 10.2174/187152731766618081609474110.2174/1871527317666180816094741 ↗
32. 10.1016/j.celrep.2017.08.02210.1016/j.celrep.2017.08.022 ↗
33. 10.1016/j.neuron.2014.01.02810.1016/j.neuron.2014.01.028 ↗
34. 10.1038/nature0927110.1038/nature09271 ↗
35. 10.1523/JNEUROSCI.0027-10.201010.1523/JNEUROSCI.0027-10.2010 ↗
36. 10.1002/hep.2447110.1002/hep.24471 ↗
37. 10.1002/hep.2729510.1002/hep.27295 ↗
38. 10.1016/j.cmet.2010.05.01010.1016/j.cmet.2010.05.010 ↗
39. 10.1016/j.cmet.2011.06.01410.1016/j.cmet.2011.06.014 ↗
40. 10.1038/npjsba.2016.1810.1038/npjsba.2016.18 ↗
41. 10.1016/j.cell.2016.05.04410.1016/j.cell.2016.05.044 ↗
42. 10.1038/cr.2007.6410.1038/cr.2007.64 ↗
43. 10.1074/jbc.M113.52073410.1074/jbc.M113.520734 ↗
44. 10.1007/s11011-018-0346-810.1007/s11011-018-0346-8 ↗
45. 10.1101/gad.11.17.215310.1101/gad.11.17.2153 ↗
46. 10.1074/jbc.M30274220010.1074/jbc.M302742200 ↗
47. 10.1016/j.cmet.2020.08.00410.1016/j.cmet.2020.08.004 ↗
48. 10.1038/nature0822110.1038/nature08221 ↗
49. 10.1093/gerona/glt13610.1093/gerona/glt136 ↗
50. 10.1038/s41586-023-06436-310.1038/s41586-023-06436-3 ↗
51. 10.1038/s41586-023-06373-110.1038/s41586-023-06373-1 ↗
52. 10.3389/fphar.2016.0025810.3389/fphar.2016.00258 ↗
53. 10.1016/j.cell.2013.06.01610.1016/j.cell.2013.06.016 ↗