As part of an ongoing research effort on aqueous two-phase systems (ATPSs) with volatile salts, this work describes the partitioning behavior of a series of amino acids, namely L-serine, glycine, L-alanine, L-valine, L-methionine, L-isoleucine, and L-phenylalanine, in these systems. The results show that amino acids partition in a similar way in polymer-volatile salt ATPSs and in traditional polymer-salt ATPSs. Increasing amino acid hydrophobicities lead to increasing partition coefficients. Moreover, the common linear relationship between the logarithm of the partition coefficient and the tie line length is observed here as well. Furthermore, the relation between relative partition coefficients and relative hydrophobicities of amino acids in the extraction systems investigated in this work is comparable to that in other extraction systems.
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http://dx.doi.org/10.1016/s0378-4347(00)00173-0 | 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.
View Article and Find Full Text PDFPrim Care Companion CNS Disord
January 2025
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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