Publications by authors named "Yunhui Han"

3 Publications

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A rapid method and mechanism to identify the active compounds in Malus micromalus Makino fruit with spectrum-effect relationship, components knock-out and molecular docking technology.

Food Chem Toxicol 2021 Apr 2;150:112086. Epub 2021 Mar 2.

National R & D Center for Edible Fungus Processing Technology, Henan University, Kaifeng, 475004, Henan, China; Joint International Research Laboratory of Food & Medicine Resource Function, Henan Province, Kaifeng, 475004, China; Functional Food Engineering Technology Research Center, Henan Province, Kaifeng, 475004, China. Electronic address:

Fingerprints of 20 batches of Malus micromalus Makino fruit were established by HPLC coupled with hierarchical cluster analysis (HCA) and principal component analysis (PCA) to estimate the common peaks on the basis of traditional similarity evaluation methods. Chromatographic peaks were identified as p-coumaric acid (P2), ferulic acid glycoside (P6), 4-O-β-Glucopyranosyl-cis-coumaric acid (P8), phloretin-2'-xyloglucoside (P10), phloridzin (P11) and quercetin-3-O-α-rhamnoside (P12) by UPLC-MS/MS method. The results of tyrosinase kinetics experiments showed that: P2 and the concentration of P11 was greater than 0.50 mmol/L mainly had a competitive inhibitory effect on tyrosinase, and the concentration of phlorizin was less than at 0.25 mmol/L, it has a mixed inhibitory effect. P8 was mainly a non-competitive activation type in the concentration range, while P12 was a mixed activation type. The results of tyrosinase molecular docking showed that: P2, P8, P11, P12 was located in the active center of the hydrophobic pocket of the enzyme. They bound to tyrosinase residues by hydrogen bonds and interacted with many hydrophobic residues around them to maintain the structure of the complex. This research provides a rapid method to determine the active compounds in edible plants with the technology of spectrum-effect relationship, component knock-out and molecular docking.
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http://dx.doi.org/10.1016/j.fct.2021.112086DOI Listing
April 2021

Downregulations of miR-449a and miR-145-5p Act as Prognostic Biomarkers for Endometrial Cancer.

J Comput Biol 2020 05 12;27(5):834-844. Epub 2019 Sep 12.

Department of Gynecology and Obstetrics, Jinan Central Hospital Affiliated to Shandong University, Jinan, China.

This investigation aimed to explore the underlying prognosis-associated microRNA (miRNA) biomarkers in endometrial cancer. miRNA data set GSE35794 and miRNA data in TGGA database were downloaded and applied to screen the differentially expressed miRNAs (DE-miRNAs) using unpaired -test in limma package in R. Basing on Venn analysis, the overlapped DE-miRNAs were screened and their potential targets were predicted according to miRWalk followed by target functional enrichment analyses and protein-protein interaction network visualized using Cytoscape. Finally, according to the information provided by the The Cancer Genome Atlas (TCGA) database, correlations between miRNAs or targets and patient prognosis were analyzed by survival package in R. A total of 24 overlapped DE-miRNAs were identified between endometrioid endometrial cancer samples and normal samples. Then, the miRNA-target regulatory network was constructed, including 11 upregulated miRNAs (e.g., miR-200a, miR-200b, and miR-200c) and five downregulated miRNAs (e.g., miR-449a, miR-145-5p, and miR-145-3p). Lymphocyte enhancer factor-1 () was predicted to be a target of miR-449a and was a target of miR-145-5p. Functional enrichment analyses of these targets were significantly related to the biological process of "negative regulation of transcription from RNA polymerase II promoter" and "positive regulation of transcription from RNA polymerase II promoter" (e.g., , , and ). In addition, survival analysis showed that miR-449a, miR-145-5p, and were approximately correlated with the overall survival prognosis of endometrial cancer patients. Downregulations of miR-449a and miR-145-5p might be involved in the pathogenesis of endometrial cancer and could act as prognostic biomarkers for endometrial cancer patients.
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http://dx.doi.org/10.1089/cmb.2019.0215DOI Listing
May 2020

Genes and transcription factors related to the adverse effects of maternal type I diabetes mellitus on fetal development.

Mol Cell Probes 2019 02 14;43:64-71. Epub 2018 Nov 14.

Department of Gynecology, Ji'nan Central Hospital Affiliated to Shandong University, Ji'nan, 250013, China.

Purpose: Maternal type I diabetes mellitus (T1DM) increases the risk of adverse pregnancy outcomes, but the corresponding mechanism is unclear. This study aims to investigate the mechanism underlying the adverse pregnancy outcomes of maternal T1DM.

Methods: Gene expression microarray (GSE51546) was down-loaded from the Gene Expression Omnibus. This dataset included 12 umbilical cord samples from the newborns of T1DM mothers (T1DM group, N = six) and non-diabetic mothers (control group, N = six).

Results: Consequently, 1051 differentially expressed genes (DEGs) were found between the two groups. The up-regulated DEGs enriched in 30 KEGG pathways. HLA-DPA1, HLA-DMA, HLA-DMB, HLA-DQA1, HLA-DQA2 and HLA-DRA enriched in "Type I diabetes mellitus". This pathway was strongly related to 14 pathways, most of which were associated with diseases. Then, a protein-protein interaction network was constructed, and 45 potential key DEGs were identified. The 45 DEGs enriched in pathways such as "Rheumatoid arthritis", "Chemokine signaling pathway" and "Cytokine-cytokine receptor interaction" (e.g. CXCL12 and CCL5). Transcription factors (TFs) of key DEGs were predicted, and a TF-DEG regulatory network was constructed.

Conclusions: Some genes (e.g. CXCL12 and CCL5) and their TFs were significantly and abnormally regulated in the umbilical cord tissue from the pregnancies of T1DM mothers compared to that from non-T1DM mothers.
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http://dx.doi.org/10.1016/j.mcp.2018.11.003DOI Listing
February 2019