Supporting data for The Chinese Medicine Alleviate Cognitive Impairment and Depressive Disorders: Insights into Neuroinflammatory and Neuroplasticity

  

Depression has risen as a serious global issue that affects the public health of all ages. Due to the pathogenesis of depression is still not well understood, current antidepressants are not satisfactory in terms of effectiveness especially when the symptoms vary. Depression is often associated with cognitive impairment; however, currently little attention was paid to cognitive disorders associated with depression and few medications for the condition have been developed in the past years. 

Shexiang Baoxin Pill (SBP), a multi-component formula drive from Traditional Chinese Medicine (TCM), has shown potential effects for neuropsychiatric disorders. However, the mechanism of SBP for neuroprotection during and after stroke is insufficient. Post-stroke cognitive impairment (PSCI) occurs frequently in stroke survivors with depression. Herein, studies combined network pharmacology approach with validation of in vivo and in vitro studies to explore the effects of SBP for PSCI induced by the middle cerebral artery occlusion (MCAO) in rats were performed. The in vitro experiment results suggest that SBP enhanced neuronal cells viability and downregulated neural apoptosis in neuronal cells via activating the PI3K/Akt signaling pathway. The in vivo experiment results illustrate that SBP treatment attenuates the brain injury after stroke and cognitive impairment in the acute and chronic MCAO rats, respectively. SBP up-regulates the expression of p-Akt, p-GSK3β, NMDAR1, PSD-95, and AMPAR. Also, SBP down-regulates the expression of p-CaMKII. These results indicated that long-term SBP treatment might be a potential option for PSCI. Coptis Chinensis is widely used in many TCM formulas for regulating emotional deficits. There is renewed interest in berberine, the main bioactive compound extract for Coptis Chinensis, which is well-established for its promoting inflammation in neurodegenerative and neuropsychiatric disorders. In the current study, we found that berberine decreases neuroinflammation and improves synaptic plasticity and behavioral patterns via inhibiting NLRP3 inflammasome activation. Herein, we designed this study to assess the anti-depressive effect of berberine using both lipopolysaccharide (LPS) and corticosterone-induced (CORT) depression mice model. 

This dataset contains 10 data files including:

   A. Filename: BBR_RNAseq_Expression      

      Short description: This file contains 9 samples of mice brain (prefrontal cortex) RNA-sequencing data.       

   B. Filename: SBP_EBstaining       

      Short description: This file contains the picture of evans blue (EB) staining for the brains of MCAO rat.     

   C. Filename: SBP_openfieldtest       

      Short description: This file contains trajectory regarding open field test (OFT) for individual rats.

   D. Filename: SBP_TTCstaining

      Short description: This file contains the picture of Triphenyl tetrazolium chloride (TTC) staining for the brains of MCAO rat.     

   E. Filename: SBP_Watermazetest

      Short description: This file contains trajectory regarding Morris water maze (MWM) for individual rats.

   F. Filename: BBR_EPSC

      Short description: This file contains electrophysiological recording spontaneous/miniature excitatory postsynaptic currents (sEPSC/mEPSC) for pyramidal neurons in the mPFC of mice.

   G. Filename: BBR_WB+IF+Golgi+behaviortest

      Short description: This file contains results of behavioral tests, western blot, IF/Golgi staining, TEN, electrophysiological recordings of berberine (BBR) study.

   H. Filename: SBP_netphar

      Short description: This file contains medicinal materials and chemical compounds of Shexiang baoxin pill (SBP) and target proteins of SBP.

   I. Filename: SBP_WB+IF+Behaviortest

      Short description: This file conatins behavioral tests, western blot, TTC/EB/IF staining, flow cytometry of SBP study.

   J. Filename: SBP_GEOdata

      Short description: This file conatins gene data from GEO dataset (GSE16561).