Abstract
Objectives: The degeneration of dopaminergic (DA) neurons has emerged as a crucial pathological characteristic in Parkinson’s disease (PD). To enrich the related knowledge, we aimed to explore the impact of the METTL14-TRAF6-cGASSTING axis in mitochondrial dysfunction and ferroptosis underlying DA neuron degeneration.
Methods: 1-methyl-4-phenylpyridinium ion (MPP+) was used to treat DA neuron MN9D to develop the PD cell models. Afterward, a cell counting kit, flow cytometer, DCFH-DA fluorescent probe, and Dipyrromethene Boron Difluoride staining were utilized to measure the cell viability, iron concentration, ROS level, and lipid peroxidation, respectively. Meanwhile, the mitochondrial ultrastructure, the activity of mitochondrial respiratory chain complexes, and levels of malondialdehyde and glutathione were monitored. In addition, reverse transcription-quantitative polymerase chain reaction and western blot assays were adopted to measure the expression of related genes. cGAS ubiquitylation and TRAF6 messenger RNA (mRNA) N6-methyladenosine (m6A) levels, the linkages among METTL14, TRAF6, and the cGAS-STING pathway were also evaluated.
Results: METTL14 expression was low, and TRAF6 expression was high after MPP+ treatment. In MPP+-treated MN9D cells, METTL14 overexpression reduced ferroptosis, ROS generation, mitochondrial injury, and oxidative stress (OS) and enhanced mitochondrial membrane potentials. TRAF6 overexpression had promoting impacts on mitochondrial dysfunction and ferroptosis in MPP+-treated MN9D cells, which was reversed by further overexpression of METTL14. Mechanistically, METTL14 facilitated the m6A methylation of TRAF6 mRNA to down-regulate TRAF6 expression, thus inactivating the cGAS-STING pathway.
Conclusion: METTL14 down-regulated TRAF6 expression through TRAF6 m6A methylation to inactivate the cGAS-STING pathway, thereby relieving mitochondrial dysfunction and ferroptosis in DA neurons.
Keywords: METTL14, TRAF6, cGAS-STING pathway, parkinson's disease, ferroptosis, mitochondrial dysfunction, dopaminergic neurons.
[http://dx.doi.org/10.1016/S1474-4422(21)00030-2] [PMID: 33894193]
[http://dx.doi.org/10.1007/s12264-017-0183-5] [PMID: 28936761]
[http://dx.doi.org/10.1055/s-0042-1758780] [PMID: 36427528]
[http://dx.doi.org/10.1002/mds.28922] [PMID: 35043999]
[http://dx.doi.org/10.1111/ene.14108] [PMID: 31631455]
[http://dx.doi.org/10.1016/j.mcna.2018.10.014] [PMID: 30704685]
[http://dx.doi.org/10.1042/BST20170501] [PMID: 30026371]
[http://dx.doi.org/10.1126/science.aam9080] [PMID: 28882997]
[http://dx.doi.org/10.1016/j.envpol.2020.115627]
[http://dx.doi.org/10.1002/ejhf.1672] [PMID: 31849158]
[http://dx.doi.org/10.1016/j.ygeno.2021.02.016] [PMID: 33667648]
[http://dx.doi.org/10.1002/jcla.23942] [PMID: 34347888]
[http://dx.doi.org/10.1007/s12035-022-02739-0] [PMID: 35032318]
[http://dx.doi.org/10.1038/s41419-021-04484-z] [PMID: 35013106]
[http://dx.doi.org/10.1038/s41420-021-00808-2] [PMID: 35013140]
[http://dx.doi.org/10.1111/jcmm.16740] [PMID: 34288397]
[http://dx.doi.org/10.1186/s12974-022-02672-y] [PMID: 36550542]
[http://dx.doi.org/10.1016/j.pain.2014.09.027] [PMID: 25267210]
[http://dx.doi.org/10.1093/hmg/ddq290] [PMID: 20634198]
[http://dx.doi.org/10.1158/2159-8290.CD-19-0761] [PMID: 31852718]
[http://dx.doi.org/10.1038/s41577-021-00524-z] [PMID: 33833439]
[http://dx.doi.org/10.1038/ni.3558] [PMID: 27648547]
[http://dx.doi.org/10.7554/eLife.81943] [PMID: 36314770]
[http://dx.doi.org/10.1016/j.bbrc.2019.05.022] [PMID: 31078259]
[http://dx.doi.org/10.1016/j.jphotobiol.2016.05.027]
[http://dx.doi.org/10.1515/tnsci-2022-0296] [PMID: 37529170]
[http://dx.doi.org/10.1038/s41556-018-0174-4] [PMID: 30154548]
[http://dx.doi.org/10.1136/bmj-2021-068718]
[http://dx.doi.org/10.1126/science.add7162] [PMID: 35981039]
[http://dx.doi.org/10.1016/j.neuron.2022.05.009] [PMID: 35654037]
[http://dx.doi.org/10.1186/s12974-022-02496-w] [PMID: 35668422]
[http://dx.doi.org/10.1111/acel.13618] [PMID: 35441806]
[http://dx.doi.org/10.1039/D2FO00357K] [PMID: 35776077]
[http://dx.doi.org/10.1155/2022/5918218]
[http://dx.doi.org/10.1016/j.jmb.2018.09.016] [PMID: 30292820]
[http://dx.doi.org/10.1016/j.fct.2020.111588]
[PMID: 29511451]
[http://dx.doi.org/10.1186/s12943-022-01521-z] [PMID: 35164771]
[http://dx.doi.org/10.1186/s12943-020-01220-7] [PMID: 32552762]
[http://dx.doi.org/10.1016/j.neuron.2017.12.036] [PMID: 29346752]
[http://dx.doi.org/10.3389/fnmol.2022.1002018]
[http://dx.doi.org/10.1111/jcmm.17183] [PMID: 35040253]
[http://dx.doi.org/10.1021/acschemneuro.8b00657] [PMID: 30835997]
[http://dx.doi.org/10.1016/j.devcel.2022.07.006] [PMID: 35917813]
[http://dx.doi.org/10.1111/jcmm.16957] [PMID: 34609072]
[http://dx.doi.org/10.2174/1570159X16666180412094655] [PMID: 29651950]
[http://dx.doi.org/10.1186/s12964-022-00994-1] [PMID: 36411467]
[http://dx.doi.org/10.1038/embor.2011.157] [PMID: 21799518]
[http://dx.doi.org/10.1111/cns.14157] [PMID: 36914567]
[http://dx.doi.org/10.1073/pnas.2118819119] [PMID: 35394877]