DPP-4 Inhibitors Suppress Tau Phosphorylation and Promote Neuron Autophagy through the AMPK/mTOR Pathway to Ameliorate Cognitive Dysfunction in Diabetic Mellitus.
Ying HuJixiong XuJiancheng WangLingyan ZhuJiao WangQin ZhangPublished in: ACS chemical neuroscience (2023)
Dipeptidyl peptidase-4 (DPP-4) inhibitors have been considered as incretin-based agents that signal through GLP-1R. Our high-throughput RNA sequencing (RNA-seq) and bioinformatics methods indicated that GLP-1R, downregulated in diabetes mellitus (DM), was a potential target of DPP-4 inhibitors, which was further confirmed in DM rats. Thus, this study illuminated the alleviatory mechanism of DPP-4 on cognitive dysfunction in diabetes mellitus (DM), which may be associated with GLP-1R signaling. DM rats were administered with DPP-4 inhibitors, Chloroquine (an autophagy inhibitor), Exendin 9-39 (a GLP-1R antagonist), or Compound C (a specific inhibitor of AMPK). An in vitro model of DM was induced in rat hippocampal neuronal cell line H19-7 by exposure to high glucose (HG) and high fat (HF), followed by treatment with the above inhibitors and antagonists. It was found that cognitive dysfunction was promoted, and LC3 expression was lowered in DM rats by an autophagy inhibitor. The DPP-4 inhibitors decreased cognitive dysfunction, repressed Tau phosphorylation, and enhanced GLP-1R protein level, LC3 expression, and AMPK and mTOR phosphorylation in DM rats, while GLP-1R antagonist, an autophagy inhibitor, or AMPK inhibitor counteracted these effects. Such effects were also observed in HG/HF-induced neurons. In conclusion, our data elucidated the alleviatory mechanism of DPP-4 inhibitors in the cognitive dysfunction of DM rats via the AMPK/mTOR pathway.
Keyphrases
- high glucose
- glycemic control
- protein kinase
- single cell
- rna seq
- cell death
- skeletal muscle
- oxidative stress
- high throughput
- endoplasmic reticulum stress
- signaling pathway
- endothelial cells
- poor prognosis
- cell proliferation
- type diabetes
- diabetic rats
- metabolic syndrome
- long non coding rna
- small molecule
- deep learning
- machine learning
- electronic health record
- weight loss
- drug induced
- simultaneous determination
- big data
- cerebrospinal fluid
- blood brain barrier
- adipose tissue
- protein protein
- climate change
- cerebral ischemia
- replacement therapy