Xinshubao tablet rescues cognitive dysfunction in a mouse model of vascular dementia: Involvement of neurogenesis and neuroinflammation.

Vascular dementia (VaD) represents a severe cognitive dysfunction syndrome closed linked to cardiovascular function. In the present study, we assessed the potential of Xinshubao tablet (XSB), a traditional Chinese prescription widely used for cardiovascular diseases, to mitigate neuropathological damage in a mouse model of VaD and elucidated the underlying mechanisms. Our findings revealed that oral administration of XSB rescued the cardiac dysfunction resulting from bilateral common carotid artery stenosis (BCAS), improved the cerebral blood flow (CBF) and cognitive function, reduced white matter injury, inhibited excessive microglial and astrocytic activation, stimulated hippocampal neurogenesis, and reduced neural apoptosis in the brains of BCAS mice. Mechanistically, RNA-seq analysis indicated that XSB treatment was significantly associated with neuroinflammation, vasculature development, and synaptic transmission, which were further confirmed by q-PCR assays. Western blot results revealed that XSB treatment hindered the nuclear translocation of nuclear factor-κB (NF-κB), thereby suppressing the NF-κB signaling pathway. These results collectively demonstrated that XSB could ameliorate cognitive dysfunction caused by BCAS through regulating CBF, reducing white matter lesions, suppressing glial activation, promoting neurogenesis, and mitigating neuroinflammation. Notably, the NF-κB signaling pathway emerged as a pivotal player in this mechanism.

Significant loss of soil inorganic carbon at the continental scale.

Widespread soil acidification due to atmospheric acid deposition and agricultural fertilization may greatly accelerate soil carbonate dissolution and CO2 release. However, to date, few studies have addressed these processes. Here, we use meta-analysis and nationwide-survey datasets to investigate changes in soil inorganic carbon (SIC) stocks in China. We observe an overall decrease in SIC stocks in topsoil (0-30 cm) (11.33 g C m-2 yr-1) from the 1980s to the 2010s. Total SIC stocks have decreased by ∼8.99 ± 2.24% (1.37 ± 0.37 Pg C). The average SIC losses across China (0.046 Pg C yr-1) and in cropland (0.016 Pg C yr-1) account for ∼17.6%-24.0% of the terrestrial C sink and 57.1% of the soil organic carbon sink in cropland, respectively. Nitrogen deposition and climate change have profound influences on SIC cycling. We estimate that ∼19.12%-19.47% of SIC stocks will be further lost by 2100. The consumption of SIC may offset a large portion of global efforts aimed at ecosystem carbon sequestration, which emphasizes the importance of achieving a better understanding of the indirect coupling mechanisms of nitrogen and carbon cycling and of effective countermeasures to minimize SIC loss.

[Core prescriptions in treatment of edema by traditional Chinese medicine masters and mechanism prediction].

The core prescriptions and formulation characteristics in the treatment of edema by traditional Chinese medicine(TCM) masters were analyzed through data mining and their mechanisms were explored by network pharmacology. We collected journal reports on the treatment of edema by TCM masters in three sessions from China National Knowledge Infrastructure(CNKI) and constructed a database by Traditional Chinese Medicine Inheritance Support System 3.0. The prescriptions in the case studies were analyzed by association rules and k-means clustering. The chemical components and targets of Chinese medicines in core prescriptions were collected through TCMSP and TCMID. Edema-related targets were collected from DrugBank and GeneCards. The protein-protein interaction(PPI) network was constructed by STRING and the core targets were screened out. FunRich 3.1.3 was used to enrich the expression sites of core prescriptions. Metascape was used to perform Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis of intersection targets. Cytoscape 3.6.0 was used to visualize the "Chinese medicine-active ingredient-core target-pathway" network. The results showed that 315 pieces of medical records in the treatment of edema by TCM masters were obtained and five core prescriptions were analyzed by association rules and k-means clustering. Core prescription 1 contained Poria, Atractylodis Macrocephalae Rhizoma, Astragali Radix, Alismatis Rhizoma, Glycyrrhizae Radix et Rhizoma, and Codonopsis Radix, involving 166 chemical components and 1 125 targets. Core prescription 2 contained Astragali Radix, Salviae Miltiorrhizae Radix et Rhizoma, Poria, Chuanxiong Rhizoma, Paeoniae Radix Rubra, and Angelicae Sinensis Radix, involving 138 chemical components and 1 112 targets. Core prescription 3 contained Poria, Salviae Miltiorrhizae Radix et Rhizoma, Astragali Radix, Atractylodis Macrocephalae Rhizoma, Alismatis Rhizoma, and Coicis Semen, involving 126 chemical components and 1 121 targets. Core prescription 4 contained Poria, Forsythiae Fructus, Atractylodis Macrocephalae Rhizoma, Imperatae Rhizoma, Cicadae Periostracum, and Coicis Semen, involving 58 chemical components and 820 targets. Core prescription 5 contained Poria, Atractylodis Macrocephalae Rhizoma, Astragali Radix, Alismatis Rhizoma, Trionycis Carapax, and Dioscoreae Rhizoma, involving 68 chemical components and 919 targets. The core targets of core prescriptions included AKT1, ALB, CASP3, MAPK3, EGFR, SRC, MAPK1, and TNF. The potential targets of core prescriptions in the treatment were highly expressed in the stomach, bladder, lung, and kidney. KEGG pathways were enriched in inflammation and cell cycle pathways, especially the inflammation-relation pathways. The therapeutic effect of core prescriptions on edema is presumedly achieved by tonifying the spleen, draining water, activating blood, and benefiting Qi to resist inflammation and regulate the immune system. This study is expected to provide references for the summary of TCM masters' experience and new drug development.

[Network pharmacology study of Yi medicine Jinweitai Capsules in treating gastrointestinal diseases].

The network pharmacology and molecular docking methods were used to explore the mechanism of Jinweitai Capsules in the treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis. The chemical components of herbs in Jinweitai Capsules were collected through TCMSP, CNKI and PubMed. Target prediction was performed through PubChem and SwissTargetPrediction databases; genes relating to acute and chronic gastritis, gastric and duodenal ulcers, chronic colitis were collected from OMIM database; potential targets of Jinweitai Capsules for relevant gastrointestinal diseases were obtained by Venny analysis; DAVID database was used to perform GO and KEGG enrichment analysis; protein interactions were obtained by STRING database and visua-lized by Cytoscape; AutoDockVina was used for molecular docking of AKT1, EGFR, PTPN11 and its reverse-selected chemical components. Potential mechanisms of Jinweitai Capsules in treating relevant gastrointestinal diseases were clarified according to the results of the docking. The results showed 86 potential active ingredients of Jinweitai Capsules and 268 potential targets for treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis. KEGG pathway enrichment analysis showed that 20 pathways relating to acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis mainly involved calcium signaling pathway and chemokine signaling pathway. Molecular docking showed a good binding activity between AKT1, EGFR, PTPN11 and its reverse screening chemical components. Jinweitai Capsules may exert an effect in the treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis by acting on AKT1, EGFR, PTPN11 and other targets in 15 signal pathways relating to cell inflammation and immunity, cell proliferation and apoptosis, Helicobacter pylori infection, and gastrointestinal tract.

[Intervention mechanism of Qingwen Baidu Yin on cytokine storm based on network pharmacology].

The aim of this paper was to explore the intervention mechanism of Qingwen Baidu Yin in cytokine storm based on network pharmacology. TCMSP and TCMIP V2.0 server were used to predict all chemical components and action targets of Qingwen Baidu Yin. Diseases that could be treated by Qingwen Baidu Yin were predicted through Enrichr database. A compound target interaction(PPI) network diagram was constructed using STRING 11.0. OmicShare was used to analyzed the gene ontology(GO) enrichment and enrichment of the Kyoto encyclopedia of genes and genomes(KEGG) pathway of core targets. Component-target-path network diagram was constructed with Cytoscape 3.6.0 software. After analysis of the database, 267 compounds were screened for Qingwen Baidu Yin, involving 1 450 targets, and a protein interaction network was constructed. Total 219 core target proteins were predicted, such as NFKB1, STAT1, RAF1, IL2, JAK1, IL6, TNF, BCL2 and other important targets, and 221 core target pathways were enriched, including cancer pathway, Kaposi's sarcoma-associated herpes virus infection, chemokine signal pathway, PI3 K-AKT signal pathway, EB virus infection, virus carcinogenesis and T cell receptor signaling pathways, a collection of which were highly related to cytokine storms. GO annotation analysis suggested that Qingwen Baidu Yin Decoction may exert therapeutic effects by regulating protein phosphorylation, cell response to cytokine stimulation, cell proliferation, inflammatory response, transmembrane receptor protein tyrosine kinase signaling pathway, and cytokine-mediated signaling pathways. This study revealed potential active components of Qingwen Baidu Yin in defending against cytokine storm and its possible mechanism of action, and provided theoretical basis and technical support for further clinical application of this prescription.

[Comparison of various spatial interpolation methods for non-stationary regional soil mercury content].

Accurate delineating of the spatial distribution of soil heavy metal content is essential for pollution assessment and remediation. The objective of this paper is to evaluate various spatial interpolation methods, including ordinary Kriging (OK), simple Kriging (SK), lognormal Kriging (LNK), universal Kriging (UK), disjunctive Kriging (DK) and inverse distance weighting interpolation (IDW) for estimating soil surface Hg content with lognormal distribution, the linear and second-order polynomial trend, and to determine the optimal interpolation method. The predicted errors, statistical feature values and prediction maps obtained by different interpolation methods were compared. The result indicated that first-order trend OK method performed better than both zero and second-order OK methods. Within the method of first-order trend OK, Gaussian semi-variogram model performed better than both the spherical and exponential models. The method using transformed data performed worse than the methods without data transformation because of the 'distortion' effect arising from log transformation. Those with trend effect were better than those without trend effect. First-order trend UK method is the best method among the six methods studied, while the IDW method is the least.