The neurotoxic l-2-amino-3-methylaminopropionic acid (BMAA) was hypothesized to be involved in sporadic cases of amyotrophic lateral sclerosis (ALS). Studies highlighting a possible implication of environmental factors in the incidence of sporadic ALS have become more numerous over recent years. Over the past years, the most widely used method for quantifying BMAA was based on the derivatization of this polar and basic molecule with a fluorescent compound (6-aminoquinolonyl-N-hydroxysuccinimidyl, 6-AQC). This derivatization allows the retention of the conjugate by reversed-phase liquid chromatography and its detection by fluorescence. Nevertheless, recent findings have shown that this method applied to complex samples may cause false positive responses. We therefore developed an analytical procedure for the determination of underivatized BMAA at trace level in complex environmental matrices (river water, cyanobacteria and biofilm) using solid-phase extraction (SPE) based on mixed mode sorbent to concentrate and clean up real samples. Analyzes were performed by hydrophilic interaction chromatography (HILIC) coupled to electrospray ionization and tandem mass spectrometry used in multiple reaction monitoring scan mode. Analytical procedures were validated for the different natural samples using the total error approach. BMAA can be quantified by these reliable and highly selective analytical methods in a range of only a few ng mL(-1) in river water and a few ng mg(-1) dry weight in cyanobacteria and biofilm matrices.
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http://dx.doi.org/10.1016/j.aca.2013.02.016 | DOI Listing |
Bioanalysis
January 2025
Bioanalysis Discovery & Development Sciences, Johnson & Johnson, Spring House, PA, USA.
Background: Most oligonucleotide bioanalytical assays currently only quantify the pharmacologically-active antisense strand, though there have been recent efforts to simultaneously quantify the sense strand using hybridization ELISA or solid phase extraction LC-MS. Hybrid LC-MS, which offers both high sensitivity and specificity unlike the currently used platforms, has not been applied to quantify both siRNA strands simultaneously.
Materials & Methods: A hybrid LC-MS assay utilizing LNA capture probes was developed and applied to quantify both strands of a 21-mer lipid-conjugated siRNA (SIR-3) using tandem mass spectrometry (MS/MS).
Front Psychol
January 2025
School of Education Science, Shaoguan University, Shaoguan, Guangdong, China.
Objective: This study aimed to explore the mechanism and gender effect of socioeconomic status on the relationship between marital quality and depression among the older adults, with the intention of providing a practical foundation for enhancing the quality of life of the older adults.
Methods: The data sourced from the third (conducted in 2015, denoted as the first survey) and fourth (carried out in 2018, regarded as the second survey) installments of the China Health and Retirement Longitudinal Survey (CHARLS) were meticulously analyzed through the utilization of cross-lagged analytical techniques and moderating effect examination methodologies.
Results: Among the older adults, there exists a reciprocal causal relationship between marital quality and the level of depression.
Front Public Health
January 2025
School of Design, Shanghai Jiao Tong University, Shanghai, China.
Introduction: As urbanization progresses and vulnerable populations increase, equitable accessibility remains a critical issue. This study evaluates the accessibility of transit-oriented development (TOD) in Shanghai, focusing on barrier-free facilities in metro stations.
Methods: A comprehensive evaluation framework combining the Analytic Hierarchy Process (AHP) and the System Usability Scale (SUS) was developed to assess metro station accessibility.
Front Psychol
January 2025
Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia.
Introduction: A coach's managerial and pedagogical tasks in the sports training process constitute the substantive core of their work, while decision-making serves as the fundamental method underpinning these tasks. Some decisions made by coaches result from deliberate, analytical thinking, which involves extensive information gathering, analysis, and discussion. Others, however, are made quickly and spontaneously, triggered by unforeseen situations during training or competition that demand immediate action.
View Article and Find Full Text PDFArch Bone Jt Surg
January 2025
Orthopedic Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran.
Artificial Intelligence (AI) is rapidly transforming healthcare, particularly in orthopedics, by enhancing diagnostic accuracy, surgical planning, and personalized treatment. This review explores current applications of AI in orthopedics, focusing on its contributions to diagnostics and surgical procedures. Key methodologies such as artificial neural networks (ANNs), convolutional neural networks (CNNs), support vector machines (SVMs), and ensemble learning have significantly improved diagnostic precision and patient care.
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