Application of Artificial Dermis Combined With a Medial Flap From the Second Toe to Repair Degloving Injury of the Fingertip.

There is no standard technique for repairing degloving injuries of the fingertip. Nail bed flap transplantation is a common surgical technique to address this injury, but this procedure inevitably damages the donor site in the toe. This article describes a surgical technique that can restore the appearance of the injured fingernail and preserve the length and function of the injured finger without damaging the toenail.

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 triggered elevated levels of oxidative stress in silk glands. Reactive oxygen species, oxidized glutathione disulfide, glutathione peroxidase, the activities of UDP glucuronosyl-transferase and carboxylesterase were induced in the middle silk gland, while malondialdehyde, reactive oxygen species, superoxide dismutase ， oxidized glutathione disulfide were increased in the posterior silk gland. Global transcription patterns revealed the physiological responses were induced by dinotefuran. Dinotefuran exposure substantially induced the expression levels of many genes involved in the mTOR and PI3K - Akt signaling pathways in the middle silk gland, whereas many differentially expressed genes involved in fatty acid and pyrimidine metabolism were found in the posterior silk gland. Additionally, functional, ultrastructural, and transcriptomic analysis indicate that dinotefuran exposure induced an increase of autophagy in the silk gland. This study illuminates the toxicity effects of dinotefuran exposure on silkworms and provides new insights into the underlying molecular toxicity mechanisms of dinotefuran to nontarget organisms.

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. Dinotefuran upregulated reactive oxygen species (ROS) and malondialdehyde (MDA) levels in the midgut and fat body of B. mori. Transcriptional analysis revealed that the expression levels of many autophagy and apoptosis-associated genes were significantly altered after dinotefuran exposure, consistent with ultrastructural changes. Moreover, the expression levels of autophagy-related proteins (ATG8-PE and ATG6) and apoptosis-related proteins (BmDredd and BmICE) were increased, whereas the expression level of an autophagic key protein (sequestosome 1) was decreased in the dinotefuran-exposed group. These results indicate that dinotefuran exposure leads to oxidative stress, autophagy, and apoptosis in B. mori. In addition, its effect on the fat body was apparently greater than that on the midgut. In contrast, pretreatment with an autophagy inhibitor effectively downregulated the expression levels of ATG6 and BmDredd, but induced the expression of sequestosome 1, suggesting that dinotefuran-induced autophagy may promote apoptosis. This study reveals that ROS generation regulates the impact of dinotefuran on the crosstalk between autophagy and apoptosis, laying the foundation for studying cell death processes such as autophagy and apoptosis induced by pesticides. Furthermore, this study provides a comprehensive insight into the toxicity of dinotefuran on silkworm and contributes to the ecological risk assessment of dinotefuran in nontarget organisms.

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). The VIP-plot of the orthogonal PLS-DA (OPLS-DA) was used for discovering the potential biomarkers to clarify the therapeutic mechanisms of JSP in treating KYDS. The results showed that JSP can alleviate the kidney impairment induced by KYDS. Sixty potential biomarkers, including 5-l-glutamyl-taurine, phenylacetaldehyde, 4,6-dihydroxyquinoline, and xanthurenic acid etc., were definitely up- or down-regulated. The regulatory effect of JSP on the disturbed metabolic pathways was proved by the established metabonomic method. Using pathway analyses, we identified the disturbed metabolic pathways such as taurine and hypotaurine metabolism, pyrimidine metabolism, tyrosine metabolism, tryptophan metabolism, histidine metabolism, steroid hormone biosynthesis, etc. Furthermore, using iTRAQ-based quantitative proteomics analysis, seventeen differential proteins were identified and significantly altered by the JSP treatment. These proteins appear to be involved in Wnt, chemokine, PPAR, and MAPK signaling pathways, etc. Functional pathway analysis revealed that most of the proteins were found to play a key role in the regulation of metabolism pathways. Bioinformatics analysis with the IPA software found that these differentially-expressed moleculars had a strong correlation with the α-adrenergic signaling, FGF signaling, etc. Our data indicate that high-throughput metabolomics and proteomics can provide an insight on the herbal preparations affecting the metabolic disorders using high resolution mass spectrometry.

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. Some 48 marker metabolites associated with alpha-linolenic acid metabolism, fatty acid metabolism, sphingolipids metabolism, phospholipid metabolism, steroid hormone biosynthesis, and amino acid metabolism were identified. The correlation coefficient between the constituents in vivo and the changes of marker metabolites were calculated by PCMS software and the potential effective constituents of AS1350 were also confirmed. By using chinmedomics technology, the components in AS1350 protecting against KYDS by re-balancing metabolic disorders of fatty acid metabolism, lipid metabolism, steroid hormone biosynthesis, etc. were deduced. These data indicated that the phenotypic characterisations of AS1350 altering the metabolic signatures of KYDS were multi-component, multi-pathway, multi-target, and overall regulation in nature.

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. The biochemical result showed that NOL can alleviate the kidney impairment induced by KYDS. Metabolomics results indicated the significantly changed metabolites were found to be reasonable in explaining the action mechanism of NOL. Interestingly, the effectiveness of NOL against KYDS was proved using the established metabolomics method and regulated the biomarkers as well as adjusted the metabolic disorder pathways. NOL had potentially pharmacological effect through regulating multiple perturbed pathways to normal state. This work showed that the metabolomics method was a powerful approach for studying the phenotypic characterization of disease's syndrome during disease prevention and its intervention mechanism.

[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. Meanwhile, the main constituents of NPC in rat serum were also detected to analyze its correlation between the constituents in vivo and the biomarkers of KYDS, and determine the potential effective compounds for therapeutic effect. Eleven biomarkers of KYDS were identified in the rat models, involving steroid hormone biosynthesis, tryptophan metabolism and tyrosine metabolism. It was found that NPC could regulate steroid hormone biosynthesis, tryptophan metabolism and tyrosine metabolism; PCMS analysis showed that caffeic acid, 2-hydroxy-1-methoxy-anthraquinone, 1-hydroxy-2-methoxyanthraquinone, ferulic acid glucuronide conjugation, deacetylasperulosidic acid, cynaroside, betaine and umbelliferone were the main effective compounds of NPC for KYDS. In this study, cynaroside, betaine, umbelliferone and other compounds in NPC could integrally regulate the disturbance of metabolic profile in KYDS by improving the hormone synthesis, hormone synthesis pathway, hormone synthesis and release pathway in tyrosine metabolism and linoleic acid synthesis pathway in linoleic acid metabolism. These results indicated that the NPC had the characteristics of multi-pathway, multi-target and overall regulation in the treatment of KYDS. Chinmedomics approach can provide methodology support to discover innovative drug from traditional Chinese medicine.

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., 2014, 10, 2160-2165.

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. Here we used sensitive ultra-performance LC-ESI/Q-TOF high-definition mass spectrometry (UPLC-ESI-Q-TOF-MS) in positive ion mode coupled with a new developed software program TransOmics for widely untargeted metabolomics, which incorporates novel nonlinear alignment, deconvolution, matched filtration, peak detection, and peak matching to characterize metabolites as a case study. The TransOmics method can facilitate prioritization of the data and greatly increase the probability of identifying metabolites related to the phenotype of interest. By this means, 17 urinary differential metabolites were identified (less than 10 min) involving the key metabolic pathways including tyrosine metabolism, glutathione metabolism, phenylalanine metabolism, ascorbate and aldarate metabolism, arginine and proline metabolism, and so forth. Metabolite identification has also been significantly improved, using the correlation peak patterns in contrast to a reference metabolite panel. It can detect and identify metabolites automatically and remove background noise, and also provides a user-friendly graphical interface to apply principal component analyses, correlation analysis and compound statistics. This investigation illustrates that metabolomics combined with the proposed bioinformatic approach (based on TransOmics) is important to elucidate the developing biomarkers and the physiological mechanism of disease, and has opened the door for the development of a new genre of metabolite identification methods.