[Preliminary exploration of the metabolic profile and metabolic pathways in newly diagnosed multiple myeloma].

Objective: To explore the metabolite profile and metabolic pathways of newly diagnosed multiple myeloma (MM). Methods: Gas chromatography-mass spectrometry (GC-MS) was employed for the high-throughput detection and identification of serum samples from 55 patients with MM and 37 healthy controls matched for age and sex from 2016 to 2017 collected at the First Affiliated Hospital of Soochow University. The relative standard deviation (RSD) of quality control (QC) samples was employed to validate the reproducibility of GC-MS approach. The differential metabolites between patients with MM and healthy controls were detected by partial least squares discrimination analysis (PLS-DA), and t-test with false discovery rate (FDR) correction. Metabolomics pathway analysis (MetPA) was employed to construct metabolic pathways. Results: There were 55 MM patients, including 34 males and 21 females. The median age was 60 years old (42-73 years old). There were 30 cases of IgG type, 9 cases of IgA type, 1 case of IgM type, 2 cases of non-secreted type, 1 case of double clone type and 12 cases of light chain type, including 3 cases of kappa light chain type and 9 cases of lambda light chain type. The result of QC sample test showed that the proportion of compounds with the RSD of the relative content of metabolites < 15% was 70.21% obtained by the reproducibility of GC-MS experimental data, which implied that the experimental data were reliable. A total of 17 metabolites were screened differently with the healthy control group, including myristic acid, hydroxyproline, cysteine, palmitic acid, L-leucine, stearic acid, methionine, phenylalanine, glycerin, serine, isoleucine, tyrosine, valine, citric acid, inositol, threonine, and oxalic acid (VIP>1, P<0.05). Metabolic pathway analysis suggested that metabolic disorders in MM patients comprised mainly phenylalanine metabolism, glyoxylic acid and dicarboxylic acid metabolism, phosphoinositide metabolism, cysteine and methionine metabolism, glycerolipid metabolism, glycine, serine, and threonine metabolism. Conclusion: Compared with normal people, patients with newly diagnosed MM have obvious differences in metabolic profiles and metabolic pathways.

Effects of amino acids on the fermentation of inulin or glucose to produce R,R-2,3-butanediol using Paenibacillus polymyxa ZJ-9.

This study investigated the effects of different amino acids on the fermentation of pure inulin and glucose using Paenibacillus polymyxa ZJ-9 in order to improve the production of R,R-2,3-butanediol (R,R-2,3-BD) respectively. The inulin extract from Jerusalem artichoke tubers contained 19 common amino acids, which were detected by HPLC. Arg featured the highest content (1290 mg l-1 ). A single add-back experiment of 20 common amino acids indicated that Asn, Ser, His and Arg are key amino acids in R,R-2,3-BD synthesis during inulin fermentation using P. polymyxa ZJ-9. The corresponding yields of R,R-2,3-BD reached 24·32, 22·32, 22·03 and 21·04 g l-1 after the four key amino acids (1·5 g l-1 each) and glucose were evaluated in this fermentation. The yields were considerably higher than that of the control group (12·11 g l-1 ). With the addition of the mixture of four amino acids (1·5 g l-1 each), the highest yields of R,R-2,3-BD (25·07 and 17·47 g l-1 ) were obtained with the increase of 107·0 and 89·1% during the fermentation of glucose and pure inulin respectively. SIGNIFICANCE AND IMPACT OF THE STUDY: Paenibacillus polymyxa is a micro-organism with a reported potential for industrialized production of R,R-2,3-butanediol. The nitrogen sources have a significant effect on R,R-2,3-butanediol formation using P. polymyxa. This study demonstrated a highly efficient new method to improve the yield of R,R-2,3-butanediol without adding other nitrogen sources except amino acids during the fermentation. This will therefore decrease the production cost of R,R-2,3-butanediol and provide a new strategy for promoting synthesis of amino acid-dependent products.

Autophagic inhibitor attenuates rapamycin-induced inhibition of proliferation in cultured A549 lung cancer cells.

BACKGROUND: Increasing studies have suggested that rapamycin has inhibitory effect for cancer cell proliferation. AIM: The present study aimed to investigate the effect of rapamycin on the proliferation of A549 lung cancer cells and try to elucidate its probable mechanism. MATERIALS AND METHODS: A549 cells were randomly divided into the following 3 groups (n=6): the Dulbecco's modified Eagle's medium (DMEM) culture solution administered alone group (C group), the 10 nmol/l rapamycin administered alone group (R group) and the 5 mmol/l 3-methyladenine (3-MA) plus 10 nmol/l rapamycin administered group (MR group). Death percentage of A549 cells was observed and the levels of caspase-3, Beclin-1, and microtubule-associated protein 1 light chain 3-II (LC3-II) were determined. RESULTS: Compared with C group, percentage of cell death, caspase-3, Beclin-1 and LC3-II both showed a significant increase in R group (p < 0.05). On the contrary, as compared with R group, percentage of cell death, caspase-3, Beclin-1 and LC3-II both showed a significant decrease in MR group (p < 0.05). CONCLUSIONS: Rapamycin has an inhibitory effect for the proliferation of A549 cells, and its mechanism is likely related to the activation of autophagic pathway.

[Determination of inorganic anions in beer and brewing water by ion chromatography].

An ion chromatography method was used to determine fluoride, chloride, nitrite, dihydrogen phosphate, nitrate and sulfate anions in beer and brewing water on a YSA8 8022A-9(250 mm x 4 mm i.d.) separation column, with sodium carbonate-sodium bicarbonate buffer as mobile phase and an electrical conductivity cell as detector. Qualitative analysis was performed with retention time and stanard spiking method, and quantitative analysis was conducted with a calibration curve by measuring the peak height. This method is simple, rapid and accurate.