2-Deoxy-scyllo-inosose (DOI) is the first intermediate in the 2-deoxystreptamine-containing aminoglycoside antibiotic biosynthesis pathway and has a six-membered carbocycle structure. DOI is a valuable material because it is easily converted to aromatic compounds and carbasugar derivatives. In this study, we isolated yeast strains capable of assimilating DOI as a carbon source. One of the strains, Cryptococcus podzolicus ND1, mainly converted DOI to scyllo-quercitol and (-)-vibo-quercitol, which is a valuable compound used as an antihypoglycemia agent and as a heat storage material. An NADH-dependent DOI reductase coding gene, DOIR, from C. podzolicus ND1 was cloned and successfully overexpressed in Escherichia coli. The purified protein catalyzed the irreversible reduction of DOI with NADH and converted DOI into (-)-vibo-quercitol. The enzyme had an optimal pH of 8.5 and optimal temperature of 35°C, respectively. The k of this enzyme was 9.98 s, and the K values for DOI and NADH were 4.38 and 0.24 mM, respectively. The enzyme showed a strong preference for NADH and showed no activity with NADPH. Multiple-alignment analysis of DOI reductase revealed that it belongs to the GFO_IDH_MocA protein family and is an inositol dehydrogenase homolog in other fungi, such as Cryptococcus gattii, and bacteria, such as Bacillus subtilis. This is the first identification of a DOI-assimilating yeast and a gene involved in DOI metabolism in fungi.
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http://dx.doi.org/10.1016/j.jbiosc.2017.10.019 | DOI Listing |
PLoS One
December 2024
Fuzhou Medical College, Nanchang University, Fuzhou, Jiangxi, China.
Neurobiol Dis
December 2024
Clinical Laboratory, the First Affiliated Hospital of Bengbu Medical University, Anhui 233004, PR China; Anhui Key Laboratory of Tissue Transplantation, the First Affiliated Hospital of Bengbu Medical University, Anhui 233004, PR China; Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical University, Anhui 233030, PR China; Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu Medical University, Anhui 233030, PR China. Electronic address:
Ependymal cells (EpCs), as a potential stem cell niche, have gained interest for their potential in vivo stem cell therapy for spinal cord injury (SCI). Heterogeneity of spinal EpCs may contribute to differences in the ability of spinal EpCs to proliferate, differentiate and transition after injury, while there is limited understanding of the regulation of these events. Our research found that ezrin (Ezr) was expressed highly in EpCs of the spinal cord, and its upregulation rapidly occurred after injury (6 h).
View Article and Find Full Text PDFEur Rev Med Pharmacol Sci
November 2024
Department of Pharmacy, Weihai Central Hospital, Weihai, China.
The article "Aldose reductase inhibitor Epalrestat alleviates high glucose-induced cardiomyocyte apoptosis via ROS" by X. Wang, F. Yu, W.
View Article and Find Full Text PDFDrug Chem Toxicol
November 2024
Department of Chemical Technology, Dr Babasaheb Ambedkar Marathwada University, Aurangabad, India.
This study investigates the drug-like properties of target molecules containing thiophene sulfonamide groups using computational molecular docking techniques. The binding interactions of these derivatives were assessed using protein 2NSD (Enoyl acyl carrier protein reductase InhA, complexed with N-(4-methylbenzoyl)-4-benzylpiperidine, PDB DOI: 10.2210/pdb2NSD/pdb) as the receptor.
View Article and Find Full Text PDFPLoS One
November 2024
Department of Biomedical Data Intelligence, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Background And Purpose: Glioblastoma is a highly aggressive brain tumor with limited survival that poses challenges in predicting patient outcomes. The Karnofsky Performance Status (KPS) score is a valuable tool for assessing patient functionality and contributes to the stratification of patients with poor prognoses. This study aimed to develop a 6-month postoperative KPS prediction model by combining clinical data with deep learning-based image features from pre- and postoperative MRI scans, offering enhanced personalized care for glioblastoma patients.
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