[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. The feature data were processed and analyzed by partial least squares discriminant analysis(PLS-DA), K-nearest neighbor(KNN), sequential minimal optimization(SMO), random forest(RF) and naive Bayes(NB), respectively. According to the radar map of the electronic nose, the response values of three sensors, namely T70/2, T30/1, and P10/2, increased with the mildewing, indicating that the Pollygonati Rhizoma produced alkanes and aromatic compounds after the mildewing. According to PLS-DA model, Pollygonati Rhizoma samples of three mildewing degrees could be well distinguished in three areas. Afterwards, the variable importance analysis of the sensors was carried out and then five sensors that contributed a lot to the classification were screened out: T70/2, T30/1, PA/2, P10/1 and P40/1. The classification accuracy of all the four models(KNN, SMO, RF, and NB) was above 90%, and KNN was most accurate(accuracy: 97.2%). Different volatile organic compounds were produced after the mildewing of Pollygonati Rhizoma, and they could be detected by electronic nose, which laid a foundation for the establishment of a rapid discrimination model for mildewed Pollygonati Rhizoma. This paper shed lights on further research on change pattern and quick detection of volatile organic compounds in moldy Chinese herbal medicines.

Identification of Nutmeg With Different Mildew Degree Based on HPLC Fingerprint, GC-MS, and E-Nose.

Nutmeg (Myristicae Semen), the so-called Rou-Dou-Kou in Chinese, is one kind of Chinese herbal medicines (CHMs) as well as a globally popular spice. Hence, its stable quality and safe application attract more attention. However, it is highly prone to mildew during storage due to its rich volatile components and fatty oil. Therefore, in this study, an electronic nose (E-nose) was introduced to attempt to reliably and rapidly identify nutmeg samples with different degrees of mildew. Meanwhile, the chemical composition and volatile oil were analyzed using HPLC fingerprint and GC-MS, respectively, which could support and validate the result of E-nose. The results showed that the cluster results of HPLC fingerprint and GC-MS were generally consistent with E-nose, and they all clustered into two categories. Additionally, a discriminant model was established, which divided the samples into three categories: mildew-free, mildew-slight, and mildew, and a high DPR was obtained, which indicates that the E-nose could be a novel and promising approach for the establishment of a quality evaluation system to identify CHMs with different degrees of mildew rapidly, especially to identify early mildew.

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). We evaluated the association between serum LDH levels and OS as well as with markers of systemic inflammation, including neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) and lymphocyte/monocyte ratio (LMR). Kaplan-Meier analyses revealed that low serum LDH levels in the training cohort significantly correlated with longer OS. Multivariate analysis identified the serum LDH levels as an independent prognostic predictor of OS (p = 0.005). Serum LDH levels correlated positively with NLR and PLR and correlated negatively with LMR. Similar results were obtained for the validation cohort, except that multivariate analysis identified the serum LDH level as a significant prognostic predictor and only a statistical trend for OS (p = 0.059). We conclude that serum LDH levels were associated with the systemic inflammatory response and served as a significant prognostic predictor of OS. Serum LDH levels predicted OS in patients with advanced pancreatic cancer after gemcitabine-based palliative chemotherapy.

[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. The secondary structures of all proteins were hybrid architecture,and alpha helical were the major motifs. There were no clear transmembrane domains in MoACOT, MoHMGS and MoMK, but two transmembrane domains were founded in MoHMGR which were from 39-61 aa and 82-104 aa resepectively. The results of evolutionary relationship analysis showed that MoACOT, MoHMGS, MoHMGR and MoMK had relative close relationship to angiosperm or dicotyledonous plants, and accorded with genetic evolution rule. From transcriptome data, transcripted level of MoACOT, MoHMGS, MoHMGR, MoMK in M. officinalis and M. officinalis var. biloba was not significantly different. The result provided theoretical reference for study on Methyl valerate (MVA) pathway of terpenoid of M. officinalis.

[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. The phylogenetic tree showed that LHPAL4 was closely related with LHPAL1, LHHCT1 was closely related with LHHCT3, LHHCT2 clustered into a single group. By Real-time PCR to detect the gene expressed level in different organs of L. hypoglauca, we found that the transcripted level of LHPAL4, LHHCT1 and LHHCT3 was the highest in defeat flowers, and the transcripted level of LHHCT2 was the highest in leaves. These result provided a basis to further analysis the mechanism of active ingredients in different organs, as well as the element for in vitro biosynthesis of active ingredients.