Shanqing Huang

TL;DR: In this article, the authors analyzed the current status and developing trends in Gut microbiota research in the depression field through bibliometric and visual analysis, which may help researchers choose suitable cooperators or journals, and promote their research illustrating the underlying molecular mechanisms of depression, including its etiology, prevention, and treatment.

TL;DR: In this paper, a bibliometric analysis aimed to provide a first glimpse into the dysregulated kynurenine pathway (KP), an immune-inflammatory pathway, in the pathophysiology of mood disorders, including depression and bipolar disorder characterized by a low-grade chronic pro-inflammatory state.

TL;DR: This is the first report of the difference in urocanic acid, a compound reported to improve glutamate biosynthesis and release in the central nervous system, between healthy controls and patients with major depression.

TL;DR: In this article, the authors used noninvasive clinical parameters to predict the dose-adjusted concentrations (C/D ratio) of lamotrigine (LTG) based on machine learning (ML) algorithms.

TL;DR: In this paper, the authors used a simulation to provide a remedial regimen for missed doses of olanzapine in the elderly population, which can provide valuable suggestions for individualized therapy in elderly patients.