Dinotefuran induces oxidative stress and autophagy on Bombyx mori silk gland: Toxic effects and implications for nontarget organisms.

Dinotefuran, a third-generation neonicotinoid insecticide, is widely utilized in agriculture for pest control; however, its environmental consequences and risks to non-target organisms remain largely unknown. Bombyx mori is an economically important insect and a good toxic detector for environmental assessments. In this study, ultrastructure analysis showed that dinotefuran exposure caused an increase in autophagic vesicles in the silk gland.

Dinotefuran exposure induces autophagy and apoptosis through oxidative stress in Bombyx mori.

As a third-generation neonicotinoid insecticide, dinotefuran is extensively used in agriculture, and its residue in the environment has potential effects on nontarget organisms. However, the toxic effects of dinotefuran exposure on nontarget organism remain largely unknown. This study explored the toxic effects of sublethal dose of dinotefuran on Bombyx mori.

[Chinmedomics strategy to discover effective constituents and elucidate action mechanism of Nanshi capsule against kidney-yang deficiency syndrome].

The chinmedomics method was used to explore the effect of Nanshi capsule on endogenous metabolites of rats with kidney-yang deficiency syndrome, investigate the metabolites and metabolic pathways closely related to kidney-yang deficiency syndrome (KYDS)and identify the therapeutic basis of Nanshi capsule(NPC)as well as its action mechanism for KYDS. The routine biochemical indexes of serum were detected and histomorphology was observed. Based on the chinmedomics technology platform, discriminatory analysis in multivariate modes was conducted for rat blood and urine, thus to investigate the biomarkers of KYDS and the therapeutic effect of NPC against KYDS.

Metabolomics and proteomics technologies to explore the herbal preparation affecting metabolic disorders using high resolution mass spectrometry.

An integrative metabolomics and proteomics approach can provide novel insights in the understanding of biological systems. We have integrated proteome and metabolome data sets for a holistic view of the molecular mechanisms in disease. Using quantitative iTRAQ-LC-MS/MS proteomics coupled with UPLC-Q-TOF-HDMS based metabolomics, we determined the protein and metabolite expression changes in the kidney-yang deficiency syndrome (KYDS) rat model and further investigated the intervention effects of the Jinkui Shenqi Pill (JSP).

High-throughput chinmedomics-based prediction of effective components and targets from herbal medicine AS1350.

This work was designed to explore the effective components and targets of herbal medicine AS1350 and its effect on "Kidney-Yang Deficiency Syndrome" (KYDS) based on a chinmedomics strategy which is capable of directly discovering and predicting the effective components, and potential targets, of herbal medicine. Serum samples were analysed by UPLC-MS combined with pattern recognition analysis to identify the biomarkers related to the therapeutic effects. Interestingly, the effectiveness of AS1350 against KYDS was proved by the chinmedomics method and regulated the biomarkers and targeting of metabolic disorders.

Phenotypic characterization of nanshi oral liquid alters metabolic signatures during disease prevention.

This paper was designed to investigate the phenotypic characterization of Nanshi Oral Liquid (NOL) alters metabolic signatures of the 'Kidney Yang Deficiency syndrome' (KYDS). Urine metabolites were profiled by UPLC-ESI-Q-TOF-HDMS. The significantly changed metabolites such as xanthurenic acid, 4,8-dihydroxyquinoline, 3-methyldioxyindole, 4,6-dihydroxyquinoline, kynurenic acid, hippuric acid, taurine, tyramine, and 3-metanephrine, had been identified, and were related to the disturbance in tyrosine metabolism, steroid hormone biosynthesis, taurine and hypotaurine metabolism, tryptophan metabolism, phenylalanine metabolism and lysine degradation, which were helpful to further understanding the KYDS and intervention mechanism of NOL.

Correction: Rapidly improved determination of metabolites from biological data sets using the high-efficient TransOmics tool.

Correction for 'Rapidly improved determination of metabolites from biological data sets using the high-efficient TransOmics tool' by Aihua Zhang et al., Mol. BioSyst.

Rapidly improved determination of metabolites from biological data sets using the high-efficient TransOmics tool.

Metabolomics is a new approach based on the systematic study of the full complement of metabolites in a biological sample. Extracting biomedical information from large datasets is of considerable complexity. Furthermore, the traditional method of assessing metabolomics data is not only time-consuming but it is often subjective work.