Chrome Extension
WeChat Mini Program
Use on ChatGLM

Development of Nitric Oxide Releasing Oxoisoaporphines with Antidepressant Activities by Simultaneously Regulating MAO-A and SERT.

Peisen Zhong, Xinyu Mao,Na Li,Li Chen,Jianbo Sun

JOURNAL OF MEDICINAL CHEMISTRY(2024)

Cited 0|Views9
Abstract
The occurrence of depression is closely related to the decrease in serotonin (5-HT) levels in the synaptic cleft. Designing negative regulators aiming at intervening in MAO-A and serotonin transporter (SERT) could work synergistically to elevate synaptic 5-HT levels and thus might exhibit superior antidepressant efficacy. By linking the lead compound oxoisoaporphine to various nitric oxide donors, we endeavored to design and synthesize 10 synergistic negative regulators. The overarching objective was to maintain the original inhibitory effect on MAO-A while concurrently mitigating SERT-mediated reuptake of 5-HT. Within the spectrum of inhibitory compounds, I7 showcased the most formidable neuroprotective efficacy in a cellular depression model. In vivo experiments demonstrated that I7 significantly improved depressive behavior in both zebrafish and mice. Further research indicated that the antidepressant mechanism of I7 was associated with the downregulation of both MAO-A and SERT.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest