The Crc protein is a global translational regulator involved in catabolite repression of catabolic pathways for several non-preferred carbon sources in Pseudomonads when other preferred substrates are present. Using proteomic and transcriptomic approaches, we have analyzed the influence of Crc in cells growing in a complete medium, where amino acids are the main carbon source. Inactivation of the crc gene modified the expression of at least 134 genes. Most of them were involved in the transport and assimilation of amino acids or sugars. This allowed envisioning which amino acids are preferentially used. Crc did not inhibit the pathways for proline, alanine, glutamate, glutamine and histidine. These amino acids are good carbon sources for P. putida. In the case of arginine, lysine, aspartate and asparagine, which can be assimilated through several pathways, Crc favored one particular route, inhibiting other alternatives. Finally, Crc-inhibited genes needed to assimilate valine, isoleucine, leucine, tyrosine, phenylalanine, threonine, glycine and serine, amino acids that provide a less efficient growth. Crc has therefore a key role in coordinating metabolism, controlling the sequential assimilation of amino acids when cells grow in a complete medium. Inactivation of crc reduced growth rate, suggesting that Crc optimizes metabolism.
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http://dx.doi.org/10.1002/pmic.200800918 | DOI Listing |
J Breath Res
January 2025
School of Medicine and Pharmacy, Ocean University of China, 5 Yushan Rd, Qingdao, Shandong, 266003, CHINA.
Lung cancer is one of the most common malignancy in the world, and early detection of lung cancer remains a challenge. The exhaled breath condensate (EBC) from lung and trachea can be collected totally noninvasively. In this study, our aim is to identify differential metabolites between non-small cell lung cancer (NSCLC) and control EBC samples and discriminate NSCLC group from control group by orthogonal projections to latent structures-discriminant analysis (OPLS-DA) models.
View Article and Find Full Text PDFNeurol Neuroimmunol Neuroinflamm
March 2025
Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney.
Background And Objectives: Despite the absence of acute lesion activity in multiple sclerosis (MS), chronic neurodegeneration continues to progress, and a potential underlying mechanism could be the kynurenine pathway (KP). Prolonged activation of the KP from chronic inflammation is known to exacerbate the progression of neurodegenerative diseases through the production of neurotoxic metabolites. Among the 8 KP metabolites, six of them, namely kynurenine (KYN), 3-hydroxylkynurenine (3HK), anthranilic acid (AA), kynurenic acid (KYNA), and quinolinic acid (QUIN), have been associated with neurodegeneration.
View Article and Find Full Text PDFPLoS One
January 2025
Center of Gene Sequencing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, P. R. China.
FBXW7 is a tumor suppressor gene that regulates metabolism and is associated with the onset and progression of colorectal cancer (CRC)), however, the precise mechanism whereby FBXW7 participates in the metabolic reprogramming of CRC remains unclear. Here, the research aims to reveal the association between the expression of FBXW7 and clinical variables and to investigate the molecular mechanism by which FBXW7 plays a critical role in the development of CRC. The clinical importance of FBXW7 in CRC was determined by immunohistochemistry.
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Eisai Inc, Nutley, New Jersey.
Insomnia and some insomnia treatments can impact an individual's daytime functioning. Here, we performed post hoc analyses of patient-reported outcomes from a phase 3 clinical trial to assess the impact of lemborexant (LEM), a dual orexin receptor antagonist, on daytime functioning. Adults with insomnia were randomized 1:1:1 to receive placebo, LEM 5 mg (LEM5) or LEM 10 mg (LEM10) for 6 months.
View Article and Find Full Text PDFPLoS One
January 2025
Electrical and Computer Engineering, University of Denver, Denver, Colorado, United States of America.
Amino acid identification is crucial across various scientific disciplines, including biochemistry, pharmaceutical research, and medical diagnostics. However, traditional methods such as mass spectrometry require extensive sample preparation and are time-consuming, complex and costly. Therefore, this study presents a pioneering Machine Learning (ML) approach for automatic amino acid identification by utilizing the unique absorption profiles from an Elliptical Dichroism (ED) spectrometer.
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