Exploring the Mechanism of Action of Trachelospermi Caulis et Folium for Depression Based on Experiments: Combining Network Pharmacology and Molecular Docking.

Objective: To reveal the safety, efficacy, and mechanism of action of Trachelospermi Caulis et Folium (TCEF) for treating depression. Methods: The maximum dose method was employed to evaluate the safety of TCEF, and its antidepressant activity was assessed using the tail suspension and sugar water depletion tests. The main components of TCEF were determined using ultrahigh performance liquid chromatography coupled with quadrupole exactive orbitrap mass spectrometer (UHPLC-Q-EOMS). The active ingredients and their action targets were obtained using network pharmacology with SwissADME and SwissTargetPrediction screening, and the targets of depression were obtained using GeneCards, DrugBank, etc. The drug and depression-related targets were intersected and analyzed via PPI network, GO, and KEGG. Subsequently, the binding ability of the core components of TCEF to the core targets was validated via molecular docking and simulation. Results: No statistically significant difference was observed between the normal and TCEF groups in terms of body weight, visceral index, and biochemical parameters (P > 0.05). Compared with the model group, all dose groups of TCEF had reduced the immobility time of tail suspension (P < 0.05) and increased the rate of sugar water consumption (P < 0.05). UHPLC-Q-EOMS was employed to identify 59 major components of TCEF, and network pharmacology analysis was used to screen 48 active components of TCEF for treating depression, corresponding to 139 relevant targets, including ALB, AKT1, TNF, ESR1, and CTNNB1. The involved pathways include neuroactive ligand-receptor interaction. The molecular docking results indicated that the core components have a good binding activity to the core targets. Conclusions: TCEF is a relatively safe antidepressant medicine that exerts therapeutic effects through multiple components, targets, and pathways, providing a new idea and theoretical basis for future use of TCEF to treat depression.

Qisheng Wan formula ameliorates cognitive impairment of Alzheimer's disease rat via inflammation inhibition and intestinal microbiota regulation.

ETHNOPHARMACOLOGY RELEVANCE: Qisheng Wan formula (QWF) was first described in the book Sheng Ji Zong Lu in 1117. The book states that QWF can cure forgetfulness, improve the mind, and make people smart. Hence, QWF has been widely used to treat patients with forgetfulness or dementia. QWF, a classic Chinese formulation, comprises seven herbal drugs: the sclerotium of Poria cocos (Schw.) Wolf, bark of Cinnamomum cassia Presl, root of Polygala tenuifolia Willd., root and rhizome of Panax ginseng C. A. Mey., root of Asparagus cochinchinensis (Lour.) Merr., root and rhizome of Acorus tatarinowii Schott, and root bark of Lycium chinense Mill. AIM OF THE STUDY: This study aimed to utilize modern pharmacological methods to evaluate the therapeutic effects and explore the underlying mechanism of QWF action on rats with Alzheimer's disease (AD). MATERIALS AND METHODS: The chemical profile of QWF was characterized using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. The AD rat model was established via a bilateral intraventricular injection of amyloid-ß (1-42) (Aß1-42). The rats were subsequently treated daily with QWF for 4 weeks. The Morris water maze test was performed to evaluate the cognition processes in the rats, whereas histological changes in the hippocampus were observed using hematoxylin and eosin staining. The expression levels of Aß1-42, nuclear factor-kappa B (NF-κB), tumor necrosis factor (TNF)-α, and interleukin (IL)-6 in the hippocampus and colon were assessed. Moreover, the diversity and composition of the intestinal microbiota were analyzed using 16S rDNA gene sequencing. RESULTS: One hundred and fourteen compounds were characterized in QWF. QWF significantly ameliorated the cognition processes and histopathological damages due to AD in rats by decreasing the deposition of Aß1-42 and downregulating the expression of NF-κB, TNF-α, and IL-6. QWF also modulated changes in the diversity and composition of intestinal microbiota to suppress the relative abundance of inflammation-associated microbiota. CONCLUSION: This study showed that QWF can suppress proinflammatory factors and modulate the intestinal microbiota in AD rats.

Antidepressant effects of total iridoids of Valeriana jatamansi via the intestinal flora-blood-brain barrier pathway.

CONTEXT: Valeriana jatamansi Jones [syn. V. wallichii DC, (Valerianaceae)] (VJJ) is used to treat depression. OBJECTIVE: To explore the effects of total iridoids of VJJ extract (TIV) on chronic unpredictable mild stress (CUMS) in mice. MATERIALS AND METHODS: VJJ roots and rhizomes were extracted with 70% ethanol. CUMS rats were treated daily with fluoxetine (2.6 mg/kg, i.g.) or TIV (5.7, 11.4, and 22.8 mg/kg, i.g.) for 14 days. Male Kun Ming mice on normal chow and 0.5% CMC-Na solution were used as a control. Behavioural tests included the tail suspension (TST) and sucrose preference tests (SPT). Evans blue staining was used to evaluate blood-brain barrier (BBB) permeability. Western blotting was used to measure zonula occludens-1 (ZO-1) and occludin expression. 16S rRNA sequencing was used to analyse intestinal flora abundance. Tax4Fun was used to predict KEGG metabolic pathways. RESULTS: TIV treatment reduced TST time (117.35 ± 8.23 or 108.95 ± 6.76 vs. 144.45 ± 10.30 s), increased SPT (55.83 ± 7.24 or 53.12 ± 13.85 vs. 38.98 ± 5.43%), increased the abundance of phylum Firmicutes (86.99 ± 0.03 vs. 60.88 ± 0.19%) and genus Lactobacillus (75.20 ± 0.19 vs. 62.10 ± 0.13%), reduced the abundance of phylum Bacteroidetes (6.69 ± 0.06 or 11.50 ± 0.09 vs. 25.07 ± 0.20%). TIV increased carbohydrate metabolism (14.50 ± 3.00 × 10-3 or 14.60 ± 2.00 × 10-3 or 14.90 ± 2.00 × 10-3 vs.13.80 ± 4.00 × 10-3%), replication and repair functions (5.60 ± 1.00 × 10-3 or 5.60 ± 1.00 × 10-3 vs. 5.10 ± 4.00 × 10-3%), reduced the frequency of infectious disease (1.60 ± 2.00 × 10-4 or 1.90 ± 5.00 × 10-4 or 1.80 ± 3.00 × 10-4 vs. 2.20 ± 7.00 × 10-3%), BBB permeability (0.77 ± 0.30 vs. 1.81 ± 0.33 µg/g), and up-regulated the expression of ZO-1 (1.42-fold, 1.60-fold, 1.71-fold) and occludin (1.79-fold, 2.20-fold). CONCLUSIONS: TIV may modulate the intestinal flora, thereby inducing the expression of ZO-1 and occludin, protecting the BBB and exerting an antidepressant effect.

Accurate analysis of polycyclic aromatic hydrocarbons (PAHs) and alkylated PAHs homologs in crude oil for improving the gas chromatography/mass spectrometry performance.

The common gas chromatography/mass spectrometry (GC/MS) approaches such as selective ion monitoring (SIM) or single ion extraction (SIE) from full scan data produce the error (over- or underestimation) estimates for the high level alkylated polycyclic aromatic hydrocarbons (PAHs). In order to rectify the error, the alkylated PAHs in the crude oil samples are quantified by deeply investigating the existing full scan data of 1D GC/MS, instead of resuming with the complex and inaccessible equipments (multidimensional gas chromatography or mass spectrometry). The aim of this study is to provide the detailed qualitative and quantitative basis data (confirming ions, relative abundance, retention indices, and area counts) of the high level alkylated PAHs by a comprehensive three-step method: (1) the potential confirming ions per isomer are selected by exploring the multiple fragment patterns formation mechanism; (2) the reasonable confirming ions are estimated by comparing extracted ion chromatography (EIC) of the potential confirming ions; (3) after deconvolution, composite chromatograms of the reasonable confirming ions illustrate the basis data by assigning peaks for target PAHs definitively. The validation data, resulting concentrations and diagnostic ratios for each homolog are compared with those obtained from SIM. The experimental data demonstrate that significant inaccurate identifications and concentration estimates are obtained when SIM mode is used for C4 Naphthalene (C4 N), C3 Phenanthrene (C3 P), C4 Phenanthrene (C4 P), C3 Dibenzothiophene (C3 D), C3 Fluorene (C3 F), C2-4 Chrysene (C2-4 C) and C1 Fluoranthene (C1 Flt). This study evaluates the usefulness of the previous fragmentation patterns, and confirms compound presence by GC/MS using the different spectral deconvolution software. This approach is developed as a broad screen for environmental samples (including petrol, diesel fuel and coal tar), with only the crude oil results being presented here.