RESUMO
In recent years， the field of network pharmacology （NP） has developed rapidly， but the flawed and routine workflow has seriously affected the scientificity and reliability of NP analysis results. For complex diseases caused by environmental and genetic factors， symptomatic treatment or drugs targeting a single pathophysiological process cannot prevent or delay the progression of the disease， so the drug development fails or withdraws from the market. Therefore， there is an urgent need to develop new ideas for NP analysis that combines multiple pathophysiological processes. The key pathophysiological process is an important and complete set of pathological changes in the process of the occurrence， development， and outcome of the disease， which represents the current comprehensive and profound understanding of the nature of the disease. In order to improve the quality of NP research and promote the healthy development of the NP field， this paper proposes a new idea of NP analysis based on key pathophysiological processes. Based on the long-term clinical practice of traditional Chinese medicine and the key pathophysiological process of the disease， the method comprehensively analyzes the pharmacological mechanism and active ingredients of traditional Chinese medicine compound from the perspective of key pathophysiological process， which increases the scientifically， reliability， and repeatability of the analysis results. This paper takes Alzheimer's disease （AD） as an example to illustrate the necessity， feasibility， main workflow， advantages， and disadvantages of this method， and it is expected to screen disease-modifying drugs that prevent or reverse the course of the disease and promote the clinical transformation of research results.
RESUMO
Post-stroke depression (PSD) is a serious and common complication of stroke, which seriously affects the rehabilitation of stroke patients. To date, the pathogenesis of PSD is unclear and effective treatments remain unavailable. Here, we established a mouse model of PSD through photothrombosis-induced focal ischemia. By using a combination of brain imaging, transcriptome sequencing, and bioinformatics analysis, we found that the hippocampus of PSD mice had a significantly lower metabolic level than other brain regions. RNA sequencing revealed a significant reduction of miR34b-3p, which was expressed in hippocampal neurons and inhibited the translation of eukaryotic translation initiation factor 4E (eIF4E). Furthermore, silencing eIF4E inactivated microglia, inhibited neuroinflammation, and abolished the depression-like behaviors in PSD mice. Together, our data demonstrated that insufficient miR34b-3p after stroke cannot inhibit eIF4E translation, which causes PSD by the activation of microglia in the hippocampus. Therefore, miR34b-3p and eIF4E may serve as potential therapeutic targets for the treatment of PSD.