Back

Lactate-derived HDAC6 Lactylation as a new target for neuronal protection in cerebral ischemic reperfusion injury

Cao, J.; Hong, Z.; Zeng, F.; Qin, Z.; Lin, M.; Wang, H.; Zuo, D.; Tao, T.

2022-11-27 neuroscience
10.1101/2022.11.27.518054 bioRxiv
Show abstract

Lactylation is a newly found lactate-derived post-translational modification, which is firstly reported on histone protein lysine residues to regulate gene expression. Here, we provided evidence that higher serum lactate level was possibly associated with better prognosis in ischemic stroke patients. Meanwhile, inhibition of endogenous lactate increased the infarct volume and decreased protein pan-lactylation in the affected brain tissue in cerebral ischemia mice. We further demonstrated that downregulating lactylation level of Hdac6 (Histone Deacetylase 6) in neurons exacerbated ischemic neuronal injury. The underlying mechanisms involved Hdac6 lactylation disturbing calcium homeostasis through binding BiP (Binding immunoglobulin protein), an endoplasmic reticulum-related protein. Collectively, our findings identified a new effect of lactate for neuroprotection through Hdac6 lactylation during cerebral ischemic reperfusion injury which introduced a potential therapeutic approach against ischemic stroke.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
eLife
● 5828 papers in training set
Top 2%
19.5%
Similar papers in this journal
2
Brain Research
○ 38 papers in training set
Top 0.1%
4.6%
Similar papers in this journal
3
Molecular Neurobiology
○ 53 papers in training set
Top 0.2%
4.3%
Similar papers in this journal
4
Theranostics
● 37 papers in training set
Top 0.1%
3.4%
Similar papers in this journal
5
International Journal of Molecular Sciences
○ 494 papers in training set
Top 4%
2.9%
6
Signal Transduction and Targeted Therapy
○ 30 papers in training set
Top 0.1%
2.9%
Similar papers in this journal
7
Cell Death & Disease
147 papers in training set
Top 1.0%
2.8%
8
iScience
○ 1154 papers in training set
Top 10%
2.6%
9
Cells
○ 249 papers in training set
Top 1%
2.6%
10
Neuroscience Bulletin
○ 12 papers in training set
Top 0.1%
2.5%
11
Biomedicines
○ 67 papers in training set
Top 0.6%
2.2%
50% of probability mass above
12
The FASEB Journal
○ 194 papers in training set
Top 2%
2.0%
13
Heliyon
○ 152 papers in training set
Top 3%
1.8%
14
Redox Biology
○ 70 papers in training set
Top 0.6%
1.8%
15
Acta Biochimica et Biophysica Sinica
● 23 papers in training set
Top 0.3%
1.6%
16
Journal of Neurochemistry
○ 53 papers in training set
Top 0.7%
1.6%
17
Scientific Reports
○ 3612 papers in training set
Top 56%
1.6%
18
Advanced Science
○ 286 papers in training set
Top 5%
1.6%
19
Neuroscience
○ 97 papers in training set
Top 1%
1.2%
20
PLOS ONE
● 5266 papers in training set
Top 51%
1.2%
21
Glia
○ 81 papers in training set
Top 1%
1.2%
22
Science Bulletin
○ 21 papers in training set
Top 0.2%
1.2%
23
Frontiers in Aging Neuroscience
○ 74 papers in training set
Top 1%
1.1%
24
Experimental Neurology
○ 61 papers in training set
Top 1%
0.9%
25
Cell Reports
○ 1498 papers in training set
Top 26%
0.9%
26
British Journal of Pharmacology
○ 40 papers in training set
Top 0.7%
0.9%
27
Cell Death Discovery
○ 58 papers in training set
Top 1%
0.9%
28
Frontiers in Molecular Neuroscience
○ 47 papers in training set
Top 1%
0.9%
29
Life Sciences
○ 27 papers in training set
Top 1%
0.6%
30
EMBO Molecular Medicine
○ 95 papers in training set
Top 3%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.