Wahrnehmung von Vorsorgeuntersuchungen und Arztbesuchen bei Menschen mit Schizophrenie und Menschen ohne psychische Erkrankung mit vergleichbarem Sozialstatus

Steinert, Tilman; Breier, Andrea; Flammer, Erich

doi:10.1055/s-0030-1248553

Cited by 1 publication

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“…In addition to tryptophan metabolism process and receptor modulation, dopamine receptors DRD2 and DRD4 are involved in therapeutic effects of HLJDD. Insulin signaling associated with glucose metabolism in neurons was identified, which is consistent with findings that intravenous insulin improves mood and cognition, and depression subjects have glucose disruption (Kozumplik and Uzun, 2011;Strachan, 2005).…”

Section: Discussionsupporting

confidence: 85%

Analysis of Antidepressant Activity of Huang-Lian Jie-Du Decoction Through Network Pharmacology and Metabolomics

Xia

et al. 2021

Front. Pharmacol.

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Depressive disorder is a common mental disorder characterized by depressed mood and loss of interest or pleasure. As the Herbal medicines are mainly used as complementary and alternative therapy for depression. This study aimed at exploring antidepressant activity of Huang-lian Jie-du Decoction (HLJDD), and evaluating active components and potential depression-associated targets. HLJDD was administered on chronic unpredictable mild stress-induced (CUMS) depressive mice. Behavior evaluation was performed through force swimming test (FST), novelty-suppressed feeding test (NSF), and open field test (OFT). Active components of HLJDD, potential targets, and metabolic pathways involved in depression were explored through systemic biology-based network pharmacology assay, molecular docking and metabonomics. FST assay showed that CUMS mice administered with HLJDD had significantly shorter immobility time compared with control mice. Further, HLJDD alleviated feeding latency of CUMS mice in NSFand increased moving distance and duration in OFT. In the following network pharmacology assay, thirty-eight active compounds in HLJDD were identified based on drug-like characteristics, and pharmacokinetics and pharmacodynamics profiles. Moreover, forty-eight molecular targets and ten biochemical pathways were uncovered through molecular docking and metabonomics. GRIN2B, DRD, PRKCA, HTR, MAOA, SLC6A4, GRIN2A, and CACNA1A are implicated in inhibition of depressive symptoms through modulating tryptophan metabolism, serotonergic and dopaminergic synaptic activities, cAMP signaling pathway, and calcium signaling pathway. Further network pharmacology-based analysis showed a correlation between HLJDD and tryptophan metabolism. A total of thirty-seven active compounds, seventy-six targets, and sixteen biochemical pathways were involved in tryptophan metabolism. These findings show that HLJDD acts on potential targets such as SLC6A4, HTR, INS, MAO, CAT, and FoxO, PI3K/Akt, calcium, HIF-1, and mTOR signaling pathways, and modulates serotoninergic and dopaminergic synaptic functions. In addition, metabonomics showed that tryptophan metabolism is the primary target for HLJDD in CUMS mice. The findings of the study show that HLJDD exhibited antidepressant effects. SLC6A4 and MAOA in tryptophan metabolism were modulated by berberine, baicalein, tetrahydroberberine, candicine and may be the main antidepressant targets for HLJDD.

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Section: Discussionsupporting

confidence: 85%

Analysis of Antidepressant Activity of Huang-Lian Jie-Du Decoction Through Network Pharmacology and Metabolomics

Xia

et al. 2021

Front. Pharmacol.

View full text Add to dashboard Cite

show abstract

Wahrnehmung von Vorsorgeuntersuchungen und Arztbesuchen bei Menschen mit Schizophrenie und Menschen ohne psychische Erkrankung mit vergleichbarem Sozialstatus

Abstract: The health behaviour of patients with schizophrenia was not significantly different from a comparison group with similar social status.

Cited by 1 publication

References 9 publications

Analysis of Antidepressant Activity of Huang-Lian Jie-Du Decoction Through Network Pharmacology and Metabolomics

Analysis of Antidepressant Activity of Huang-Lian Jie-Du Decoction Through Network Pharmacology and Metabolomics

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