Publications by authors named "Chun-Te Li"
An interpretable machine learning approach to evaluate 30-day mortality risk in patients with community-onset bacteremia.
J Microbiol Immunol Infect
August 2025
Background: Machine learning (ML) techniques are increasingly being used in health outcome research to develop predictive models. However, ML models are often referred to as "black box models" because they lack interpretability. Our goal was to develop an ML model to predict mortality risk in patients with community-onset bacteremia.
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- Metformin, a common diabetes medication, may reduce the long-term antidepressant effects of ketamine and scopolamine by blocking mTORC1 activation, which is essential for these drugs' effectiveness.
- In a study with rats, metformin was shown to diminish the sustained antidepressant-like effects of ketamine and scopolamine, although it did not affect the immediate effects.
- The findings suggest a complex relationship between the actions of metformin, AMPK, BDNF, and mTORC1, highlighting the need for further research on how metformin interacts with antidepressant treatments.
Roles of Akt and ERK in mTOR-Dependent Antidepressant Effects of Vanillic Acid.
ACS Omega
February 2020
Article Synopsis
- Vanillic acid, a derivative of vanilla, exhibits neuroprotective effects mainly through its anti-inflammatory and antioxidative properties, potentially linked to Akt and ERK signaling pathways.
- In a study utilizing the forced swim test (FST), vanillic acid demonstrated significant antidepressant effects without altering locomotor activity, highlighting its potential benefits in reducing behavioral despair.
- The antidepressant action of vanillic acid appears to operate through the AMPAR-Akt-mTOR signaling pathway, suggesting a mechanism that could offer new therapeutic options for depression.