The chemical constituents were systematically separated from the roots of Berberis polyantha by various chromatographic methods, including silica gel column chromatography, HP20 column chromatography, polyamide column chromatography, reversed-phase C_(18) column chromatography, and preparative high-performance liquid chromatography. The structures of the compounds were identified by physicochemical properties and spectroscopic techniques(1D NMR, 2D NMR, UV, MS, and CD). Four phenylpropanoids were isolated from the methanol extract of the roots of B. polyantha, and they were identified as(2R)-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone-O-β-D-glucopyranoside(1), methyl 4-hydroxy-3,5-dimethoxybenzoate(2),(+)-syringaresinol(3), and syringaresinol-4-O-β-D-glucopyranoside(4). Compound 1 was a new compound, and other compounds were isolated from this plant for the first time. The anti-inflammatory activity of these compounds was evaluated based on the release of nitric oxide(NO) in the culture of lipopolysaccharide(LPS)-induced RAW264.7 macrophages. At a concentration of 10 μmol·L~(-1), all the four compounds inhibited the LPS-induced release of NO in RAW264.7 cells, demonstrating potential anti-inflammatory properties.
Plant Roots/chemistry* ; Animals ; Mice ; Berberis/chemistry* ; RAW 264.7 Cells ; Macrophages/immunology* ; Drugs, Chinese Herbal/isolation & purification* ; Nitric Oxide/metabolism* ; Molecular Structure ; Anti-Inflammatory Agents/isolation & purification*

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

The effects of two different sample labeling methods on background signal intensities for high-density 60mer oligonucleotide microarray were investigated. Peripheral blood samples from five disease and five control subjects were collected. Total RNA targets from peripheral blood mononuclear cells were extracted and labeled with RD-PCR protocol, which were hybridized to Agilent Human 1B oligonucleotide microarrays in a two-color comparative format. The positive control targets were labeled with the directly incorporated fluorescently-labeled dNTP labeling. The SPSS program was performed to test normality of the dataset, variance homogeneity between the groups, coefficients of variation (CV) and analysis of variance. The results showed that the background signal intensities of Cy3 channel were higher than those of Cy5 channel. The differences of background signal intensities between the RD-PCR approach and the directly incorporated fluorescently-labeled dNTP labeling were extremely significant (P- Cy3

Objective To investigate the value of restriction display PCR (RD-PCR) as a novel and expedient sample labeling method for high-density 60-mer oligonucleotide microarray. Methods Peripheral blood samples from three volunteers were collected and the total RNA was extracted from the peripheral blood mononuclear cells and labeled with RD-PCR protocol,followed by hybridization with Agilent Human 1B oligonucleotide microarrays in a two-color comparison format. The RNA from the same subject was divided into two aliquot and labeled with Cy3 and Cy5 respectively. The spots with significant difference between the foreground and local background intensities and those without significant difference between Cy5 and Cy3 signal intensities were selected for analysis. SPSS software was used to perform the statistical tests and plot generation.VSN packages were used under R language to remove the systematic array and dye biases. Results Totally 8744 common spots of the 3 microarrays were evaluated. The results demonstrated that RD-PCR could be a promising novel method for efficient labeling of microarray samples. Further analysis indicated the presence of adjustable biases derived from the array and incorporated dye in the labeling processes. The RD-PCR labeling showed better performance than the conventional approaches in regards to reproducibility of the quantitative signals for gene intensity and capability to label RNAs of lowly expressed genes. Conclusion Given the evidence of the feasibility of using RD-PCR labeling in the field of high-density long oligonucleotide microarray, further optimization of the protocol may unleash the full potential of this novel labeling method.

Objective To investigate the value of restriction display PCR (RD-PCR) as a novel and expedient sample labeling method for high-density 60-mer oligonucleotide microarray. Methods Peripheral blood samples from three volunteers were collected and the total RNA was extracted from the peripheral blood mononuclear cells and labeled with RD-PCR protocol,followed by hybridization with Agilent Human 1B oligonucleotide microarrays in a two-color comparison format. The RNA from the same subject was divided into two aliquot and labeled with Cy3 and Cy5 respectively. The spots with significant difference between the foreground and local background intensities and those without significant difference between Cy5 and Cy3 signal intensities were selected for analysis. SPSS software was used to perform the statistical tests and plot generation.VSN packages were used under R language to remove the systematic array and dye biases. Results Totally 8744 common spots of the 3 microarrays were evaluated. The results demonstrated that RD-PCR could be a promising novel method for efficient labeling of microarray samples. Further analysis indicated the presence of adjustable biases derived from the array and incorporated dye in the labeling processes. The RD-PCR labeling showed better performance than the conventional approaches in regards to reproducibility of the quantitative signals for gene intensity and capability to label RNAs of lowly expressed genes. Conclusion Given the evidence of the feasibility of using RD-PCR labeling in the field of high-density long oligonucleotide microarray, further optimization of the protocol may unleash the full potential of this novel labeling method.