Diabetes is a metabolic disease with an extremely high incidence in China. In parallel with an increased incidence yearly, the population of diabetes is showing a trend towards younger age. Therefore, it is urgent to carry out research on diabetes in order to develop strategy for prevention. In recent years, metabolomics has made significant progress in the study of biomarkers, pathogenesis, early diagnosis and prognosis, and evalua tion of drug efficacy in diabetes. However, limited by metabolomics technology and the complexity of diabetes research, metabolomics in the diabetes research remains challenging. We summarize the progress and prospect the future development of metabolomics in the diabetes research.

The purpose of this research is to investigate the effects of acacetin on serum lipid metabolism and atherosclerosis in mice and explore its molecular mechanism. HepG2 cells were treated with different concentrations of acacetin. The expression of LDL receptor (LDLR) and sterol-regulatory element binding protein-2 (SREBP-2) were detected by RT-qPCR and/or Western blot. C57BL/6J mice were given acacetin (50 mg·kg^-1) for 5 weeks by gavage. Serum total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglyceride (TG) were analyzed by an automatic biochemical analyzer. The expression of LDLR or SREBP-2 was detected by Western blot. After 12 weeks of intragastric administration of acacetin (30 mg·kg^-1) in apolipoprotein E knockout (ApoE KO) mice, the serum lipid levels were determined by an automatic biochemical analyzer. The lipid deposition in aortic plaque (en face) and aortic root plaque were stained with oil red O. The expression of LDLR and SREBP-2 were detected by RT-qPCR and/or Western blot. The intestinal content microflora was analyzed by 16S rDNA sequencing (All animal studies were approved by the Animal Experimentation Ethics Committee of Institute of Medicinal Biotechnology, CAMS & PUMC). In vitro results indicated that acacetin significantly up-regulated LDLR mRNA and protein levels, and stimulated LDLR transcription factor SREBP-2 protein expression. As indicated from in vivo studies, compared with control group, acacetin significantly decreased the serum levels of TC and LDL-C in C57BL/6J mice by 34% and 57% (P < 0.01), respectively. Furthermore, mechanic study showed that acacetin significantly increased the protein expression of hepatic LDLR and SREBP-2. Although the results of serum lipid profiles, hepatic LDLR/SREBP-2 expression and area of atherosclerotic lesions in aorta and aortic root in ApoE KO mice showed differences between acacetin and high-fat diet group, the differences did not reach statistical significance. Nevertheless, acacetin exhibited a profound influence on the composition of the intestinal microbiota as indicated by 16s rDNA sequencing analysis. In conclusion, these results demonstrated that acacetin can decrease the serum lipid levels in C57BL/6J mice through up-regulation of hepatic LDLR and SREBP-2, and alter gut microflora in high-fat diet fed Apo KO mice. This study suggests the possibility that acacetin has a potential role in inhibiting the progression of atherosclerosis.

This study aimed to explore the roles of exosomes in doxorubicin-resistance in breast cancer cells. Using breast cancer parental cell line (MCF-7), doxorubicin-resistant cell line (MCF-7/ADR) and sensitive cell line co-cultured with doxorubicin-resistant supernatant (MCF-7/EXO) as models, the effects of doxorubicin on proliferation or apoptosis of MCF-7, MCF-7/EXO and MCF-7/ADR cells were detected by CCK8, and light or fluorescent microscopy. Exosomes in the supernatants of cell culture were extracted by ultracentrifugation, and the quantity of exosomes was determined by transmission electron microscopy, BCA and DiI labeling assay. Expression levels of exosome-specific biomarkers CD63 and Flotillin-1 were detected by Western blot. The uptake of MCF-7/ADR cell-derived exosomes by MCF-7 cells was observed by laser confocal microscopy. Western blot was used to detect the expression levels of multidrug resistance protein ATP-binding cassette subfamily B member 1 (ABCB1) in all three cell strains. Cell proliferation assays showed that IC₅₀ of MCF-7/EXO cells to doxorubicin was 0.83 ±0.09 μmol·L^-1, which was significantly higher than 0.15 ±0.05 μmol·L^-1 (P < 0.01) of MCF-7 cells, suggesting 5.5 times of increase in drug resistance. Apoptosis of MCF-7 cells was induced after doxorubicin treatment (P < 0.001), but MCF-7/EXO cells were not significantly different (P>0.05). Exosome quantification and specific marker detection showed that MCF-7/EXO cells had significantly more exosomes than MCF-7 cells (P < 0.05). PKH67 tracer markers indicated that MCF-7/ADR-derived exosomes could be taken up by MCF-7 cells. Western blot showed that the expression level of ABCB1 protein in MCF-7/EXO cells was significantly higher than that in MCF-7 cells. Taken together, these results indicate that exosomes of doxorubicin-resistant breast cancer cells can transmit drug resistance to sensitive cells, and the underlying mechanism may involve ABCB1 protein transport mediated by exosomes.

Chemical investigation on the rice culture of Corynespora cassiicola J9, an endophyte inhabiting in Blumea balsamifera (L.) DC. resulted in isolation of eight compounds, including a new depsidone derivative, corynether C (1), and seven analogues, corynether B (2), corynetherlactone A (3), corynether A (4), diaryl ether (5), corynesidone C (6), corynesidone D (7), and corynesidone A (8). Their structures were deduced based on 1D and 2D NMR spectroscopy, and HR-ESI-MS data. All of the isolated compounds were evaluated for inhibitory activities against Lissorhoptrus oryzophilus Kuschel by the leaf spray assay. Unfortunately, none of them showed inhibitory effects.

The method for analyzing the interaction between caffeine and human serum albumin (HSA) was established by capillary electrophoresis. Under physiological conditions, the interaction between ligand (caffeine)-receptor (HSA) was studied with frontier-analysis (FA) method, Hummel-Dreyer (HD) method and plug-plug kinetic (PPK) method. The interaction parameters of caffeine-HSA system were obtained using non-linear equation, Scatchard equation and Klotz equation. The results showed that FA, HD and PPK methods were suitable for caffeine-HSA system, among them, HD method was the best, and the Non-linear equation was the best theoretical model to caffeine-HSA system. Interaction parameter tests showed that caffeine-HSA interaction was a single site interaction and the binding stability was moderate. The mechanism of caffeine-HSA interaction has been elucidated, which can provide valuable information for further research of alkaloids.

To accurately discriminate Stellariae Radix from its adulterants, four leading candidate DNA barcoding markers were evaluated. Sixty samples including Stellariae Radix and its adulterants have been newly collected and their total genomic DNA was extracted. Four DNA barcoding markers ITS, rbcL, psbA-trnH and matK were amplified and sequenced. Their sequence characteristic analyses, Kimura-2-parameter (K2P) distance calculation and Neighbor-joining (NJ) phylogenetic tree constructions were accomplished using the MEGA 7.0 software. DNA Barcoding gaps of the four DNA barcoding markers were estimated by the distributions of interand intra-sequence specific variations. Species identification efficiency was calculated using the BLAST method. The results showed that ITS had the highest (95.2%) while matK demonstrated the lowest (75%) PCR and sequencing efficiency. The length range of the four markers were in the ranger of 211-797 bp, and the G+C content of ITS was highest (54.35%). The identification efficiency of matK and ITS was 92% and 90% respectively. Barcoding gap could be found in ITS sequences. The NJ phylogenetic tree constructed using ITS sequences showed that samples of Stellariae Radix were separately formed into one clade, and samples of adulterants like Stellaria bistyla were clearly belong to different branches from Stellariae Radix, whereas NJ trees constructed using psbA-trnH, rbcL and matK could not differentiate Stellariae Radix from its adulterants. Therefore, ITS regions as DNA barcodes can stably and accurately distinguished Stellariae Radix from its adulterants, and provide a new technique for modern identification of Stellariae Radix.

Amyotrophic lateral sclerosis (ALS) is among the most common type of motor neuron diseases, and its pathogenesis remains unclear. In recent years, our understanding of the genetic basis of ALS has led to the development of various ALS disease models, which allow for screening of ALS-related drugs and treatment methods. This review focuses on the research progress of ALS, summarizes the systems of commonly used experi mental animal models, including transgenic animals, gene knockout approaches and autonomous animal models, points to the problems needing attention in standardized ALS non-clinical research, and proposes the criteria for selection of standardized R&D model.

The 16S rDNA sequencing method was adopted to study the effects of mulberry leaf flavonoids, polysaccharides and alkaloids on intestinal microflora in db/db diabetic mice. The animal experiment was examined by the Ethics Committee of Nanjing University of Chinese Medicine. Ten db/m mice were control group and forty db/db mice were randomly divided into model group, metformin group, mulberry flavonoid (MF) group, mulberry polysaccharide (MP) group and mulberry alkaloid (MA) group. After intragastric administration for six weeks, fresh feces were collected for detection of intestinal microflora. There were Firmicutes, Bacteroidetes, Proteobacteria, Saccharibacteria, Tenericutes, Deferribacteres, Verrucomicrobia, Cyanobacteria in each group. The results showed that the intestinal microflora of db/db mice changed significantly from phylum level to genus level. The proportion of Firmicutes and Proteobacteria in model group decreased significantly, and the proportion of Bacteroidetes increased. The difference in species abundance distribution between model group and other groups was significant, which indicated that the community distribution was disordered in model group. After administration, the Bacteroidetes, Lachnospiraceae, Roseburia and Desulfovibrio were effectively regulated, especially in the alkaloid group. The difference in species abundance distribution between drug-treated group and blank group also became smaller. It is suggested that the active components of mulberry leaf have the effect of improving the intestinal microflora imbalance in db/db mice.

Among various technologies used in drug design and discovery, deep learning is still in its infancy. Recently, deep learning approaches have been rapidly developed and applied to address various problems in drug discovery, including generation of virtual compound library, prediction of compound activity, metabolism and toxicity, and prediction of organic synthesis routes. Compared with the traditional machine learning methods, the prediction power of deep learning did not show significant improvement. However, proactively learning and automatically feature extraction bring advantages for deep learning approaches. Compared to first principle-based computational chemistry methods, deep learning can not be generalized because it depends on large-scale and highquality annotated data sets. But its molecular representation with single-atom atomic environment vectors could be useful for computational chemists. As an emerging technology, deep learning, especially the unsupervised learning method that does not rely on large datasets with labels, is gradually improving. It is expected that someday deep learning method will become practical for drug discovery.

The study was designed to synthesize a novel dendritic copolymer composed of polyamidoamine dendrimer G0 as the inner core and poly(L-glutamic acid) grafted low molecular weight polyethylenimine (PGLP) as surrounding arms for gene delivery vector. The molecular structure of PGLP was confirmed by ¹H NMR (proton nuclear magnetic resonance spectroscopy). The DNA combination capability of PGLP was examined by gel retarda tion electrophoresis. The particle sizes and zeta potentials of PGLP/pDNA complexes were determined by dynamic light scattering (DLS). The cytotoxicity of PGLP was evaluated by Cell Counting Kit-8 (CCK-8) and hemolysis assays, which was approved by Research Ethics Committee of the First Affiliated Hospital of Nanchang University. The in vitro transfection efficiency of PGLP was measured by a flow cytometry. The results of physicochemical properties suggested that PGLP could self-assemble with DNA to form complexes with average particle sizes of about 105-200 nm and zeta potentials of about +10-+28 mV, which could protect DNA from serum degradation. The results of biological properties suggested that PGLP showed more higher transfection efficiencies but lower cytotoxicity than PEI 25K or Lipofectamine 2000 in various cell lines (HEK 293T, HeLa, BEL 7402, RASMC). Importantly, it was found that PGLP/pDNA complexes at w/w=8 showed more strong serum-resistant capacity than PEI 25K/pDNA complexes. Therefore, PGLP is a promising candidate vector for gene delivery.