Gamma-aminobutyric acid (GABA) is a non-proteinogenic amino acid act as a major neurotransmitter inhibitor in the nervous system of mammals. It also used as a precursor of bioplastics synthesis such as N-methylpyrolidone and polyamide 4. Chemical-based synthesis methods have many environmental-related issues, so efforts have been made to develop biosynthetic methods to produce GABA. Glutamate decarboxylase (GAD) transforms L-glutamate to GABA using pyridoxal 5'-phosphate (PLP) as a cofactor. Bioconversion of GABA with whole cells overexpressing the glutamate decarboxylase has advantages of fewer byproducts and rapid reaction. However, there is a bottleneck in the whole-cell bioconversion system i.e., higher GABA production require a large amount of cofactor PLP which make the process costly. Therefore, pyridoxal kinase (PdxY) able to regenerate PLP was introduced in the whole-cell system to construct a new GABA producing system. Culture and reaction conditions were optimized, and 100% conversion of 0.6 M MSG was obtained. This study reports that a competitive level of GABA production could be achieved without supplying additional PLPs.
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http://dx.doi.org/10.1016/j.enzmictec.2022.109994 | DOI Listing |
ACS Earth Space Chem
December 2024
Planetary Environments Laboratory NASA/GSFC, Greenbelt, Maryland 20771, United States.
Titan is an ocean world with a plethora of organic material in its atmosphere and on its surface, making it an intriguing location in the search for habitable environments beyond Earth. Settled aerosols will mix with transient surface melts following cryovolcanic eruptions and impact events, driving hydrolysis reactions and prebiotic chemistry. Previous studies have shown that the hydrolysis of laboratory-synthesized Titan organics leads to the production of amino acids and other prebiotic molecules.
View Article and Find Full Text PDFJ Environ Manage
December 2024
Centre International de Recherche sur l'Environnement et le Développement (CIRED), 45bis Avenue de la Belle Gabrielle, 94130, Nogent-sur-Marne, France.
The application of nature-based solutions to agriculture is promising because it allows the sustainable management of ecosystems and the reconciling of human well-being with the benefits of biodiversity. However, scientists lack robust economic arguments and concepts in the area of nature-based solutions that are well aligned with the expectations of the agricultural sector. This study addresses this gap by developing an interdisciplinary economic framework that integrates nature-based solutions and allows for an assessment of their efficient use.
View Article and Find Full Text PDFJ Pharmacol Sci
January 2025
Department of Endocrinology, The Second People's Hospital of Lianyungang, Lianyungang, Jiangsu, 222000, China. Electronic address:
Elevated reactive species and AGEs contribute to deregulation of transcription factors e.g., NF-κB and Nrf2 in diabetic peripheral neuropathy (DPN).
View Article and Find Full Text PDFChemosphere
December 2024
Universidade Federal de Minas Gerais, Instituto de Ciências Exatas, Departamento de Química. Av. Antônio Carlos, 6627, Belo Horizonte, Minas Gerais, Brazil. Electronic address:
Metabolomics is a valuable tool to assess glyphosate exposure and its potential impact on human health. However, few studies have used metabolomics to evaluate human exposure to glyphosate or glyphosate-based herbicides (GBHs). In this study, an untargeted and targeted metabolomics approach was applied to human skin fibroblasts exposed to the GBH Roundup (GLYP-R).
View Article and Find Full Text PDFBiomed Phys Eng Express
December 2024
Université de Dschang, Dschang, Dschang, 237, CAMEROON.
Auto-encoders have demonstrated outstanding performance in computer vision tasks such as biomedical imaging, including classification, segmentation, and denoising. Many of the current techniques for image denoising in biomedical applications involve training an autoencoder or convolutional neural network (CNN) using pairs of clean and noisy images. However, these approaches are not realistic because the autoencoder or CNN is trained on known noise and does not generalize well to new noisy distributions.
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