[Establishment of a fast discriminant model with electronic nose for Polygonati Rhizoma mildew based on odor variation].

The odor fingerprint of Pollygonati Rhizoma samples with different mildewing degrees was analyzed and the relationship between the odor variation and the mildewing degree was explored. A fast discriminant model was established according to the response intensity of electronic nose. The α-FOX3000 electronic nose was applied to analyze the odor fingerprint of Pollygonati Rhizoma samples with different mildewing degrees and the radar map was used to analyze the main contributors among the volatile organic compounds.

Serum lactate dehydrogenase predicts prognosis and correlates with systemic inflammatory response in patients with advanced pancreatic cancer after gemcitabine-based chemotherapy.

Serum lactate dehydrogenase (LDH) concentrations correlate with tumor progression and poor outcome. We evaluated the predictive value of serum LDH level for overall survival (OS) of patients with advanced pancreatic cancer after gemcitabine-based chemotherapy. We retrospectively enrolled 364 patients with locally advanced or metastatic pancreatic adenocarcinoma who were then allocated to training (n = 139) and validation cohorts (n = 225).

[Identification and bioinformatics analysis of genes associated with MVA pathway in Magnolia officinalis].

Methyl valerate (MVA) pathway is one of the important ways for synthesis of terpenoids. This study was based on data of the transcriptome sequencing of Magnolia officinalis, the associated genes MoACOT, MoHMGS, MoHMGR, MoMK in methyl valerate (MVA) pathway, were completed in detail by using bioinformatics methods. The results of analysis showed that MoACOT and MoMK were stable hydrophobic proteins, MoHMGS and MoHMGR were unstable hydrophobic protein.

[Gene cloning and bioinformatics analysis of new gene for chlorogenic acid biosynthesis of Lonicera hypoglauca].

To obtain the key genes for chlorogenic acid biosynthesis of Lonicera hypoglauca, four new genes ware obtained from the our dataset of L. hypoglauca. And we also predicted the structure and function of LHPAL4, LHHCT1 , LHHCT2 and LHHCT3 proteins.