Dihydromyricetin promotes apoptosis, suppresses proliferation and tumor necrosis factor-α-mediated nuclear factor kappa-B activation in nasopharyngeal carcinoma CNE-2 cell.

Objective: To investigate the efficacy of dihydromyricetin (DMY) on nasopharyngeal carcinoma (NPC) cell proliferation, apoptosis and to reveal the underlying mechanism in vitro experiments.

Methods: The CNE-2 cell line was treated with different concentrations of DMY and the effects of DMY on cell viability and proliferation were evaluated using cell counting kit-8 (CCK-8) assay and plate colony formation assay. Cellular apoptosis was detected by flow cytometry following Annexin V fluorescein isothiocyanate/propidine iodide staining.

[Molecular Genetic Analysis of One Sudden Unexplained Death in the Young by Whole Exome Sequencing].

Objective: To find the mutation of disease-causing genes of sudden unexplained death syndrome (SUDS) in the young by whole exome sequencing in one case.

Methods: One SUDS case was found no obvious fatal pathological changes after conventional autopsy and pathological examination. The whole exome sequencing was performed with the Ion Torrent PGM™ System with hg19 as reference sequence for sequencing data.

[Improving signal to noise ratio of spectroscopy for tongue inspection by reflectivity normalization method].

In order to solve the problem that the collected spectrum was influenced seriously by the operation method, improve the instrument sensitivity and enhance the differences between samples, reflectivity normalization method was used for data preprocessing in the present article. First, the reflect spectrum of tongue was collected, then the reflectivity and the normalized reflectivity of the samples were compared, and it was found that reflectivity normalization method can eliminate the impact brought by the collection from different distance. At the same time, the classification results between the reflectivity and the normaliza tion reflectivity of the different samples were compared, and the results showed that the reflectivity normalization method can enhance differences between the samples and enhance model's robustness and prediction ability of subsequent disease screening.