Two-Dimensional Liquid Chromatography-Isotope Ratio Mass Spectrometry Opens New Possibilities in the Field of Compound-Specific Stable Isotope Analysis.

Compound-specific stable isotope analysis (CSIA) using liquid chromatography-isotope ratio mass spectrometry (LC-IRMS) is a powerful tool for determining the isotopic composition of carbon in analytes from complex mixtures. However, LC-IRMS methods are constrained to fully aqueous eluents. Previous efforts to overcome this limitation were unsuccessful, as the use of organic eluents in LC-IRMS was deemed impossible.

Early-life adversity as a predictor of fibromyalgia syndrome: the central role of perceived stress over endocrine stress indicators.

This study investigates the associations between early childhood adversities, stress perception, and fibromyalgia syndrome (FMS). Although the interconnection between dysregulated stress systems and FMS is well documented, the interconnection between early adversities and FMS remains less understood. This study explores the relationship of early-life stress and FMS by examining its mediation through perceived stress, and acute and chronic endocrine stress indicators.

Physiologically Relevant Coculture Model for Oral Microbial-Host Interactions.

Understanding microbial-host interactions in the oral cavity is essential for elucidating oral disease pathogenesis and its systemic implications. bacteria-host cell coculture models have enabled fundamental studies to characterize bacterial infection and host responses in a reductionist yet reproducible manner. However, existing coculture models fail to replicate the physiological oxygen gradients critical for studying these interactions.

A Magnetoelectric Distance Estimation System for Relative Human Motion Tracking.

Clinical motion analysis plays an important role in the diagnosis and treatment of mobility-limiting diseases. Within this assessment, relative (point-to-point) tracking of extremities could benefit from increased accuracy. Given the limitations of current wearable sensor technology, supplementary spatial data such as distance estimates could provide added value.

Effect-based analysis of endocrine effects in surface and ground water with focus on progestagenicity using Arxula yeast-based reporter gene assays.

The use of effect-based methods in water monitoring for identifying risks to aquatic organisms and human health is important for aiding regulatory decisions. In the past decades, the database on monitoring, especially in surface waters, has grown as this aquatic environment is openly exposed to various contamination sources. With regard to endocrine disruption, estrogenic and androgenic effects have been primarily investigated.