A liquid chromatography-tandem mass spectrometry method for the analysis of dehydroepiandrosterone sulphate (DHEAs) in serum and plasma with comparison to an immunoassay method in a neonatal population.

The measurement of dehydroepiandrosterone-sulphate (DHEAs) is an important second-line test to aid in the diagnosis of premature adrenarche, peripubertal gynaecomastia in males and in identifying the source of elevated androgens in females. Historically, DHEAs has been measured by immunoassay platforms which are prone to poor sensitivity and more importantly poor specificity. The aim was to develop an LC-MSMS method for the measurement of DHEAs in human plasma and serum, develop an in-house paediatric (<6 year old) reference limit and compare the performance against the Abbott Alinity DHEAs immunoassay method.

Chiral Quantum Metamaterial for Hypersensitive Biomolecule Detection.

Chiral biological and pharmaceutical molecules are analyzed with phenomena that monitor their very weak differential interaction with circularly polarized light. This inherent weakness results in detection levels for chiral molecules that are inferior, by at least six orders of magnitude, to the single molecule level achieved by state-of-the-art chirally insensitive spectroscopic measurements. Here, we show a phenomenon based on chiral quantum metamaterials (CQMs) that overcomes these intrinsic limits.

Assisted dipeptide bond formation: glycine as a case study.

Peptide bond formation is a crucial chemical process that dominates most biological mechanisms and is claimed to be a governing factor in the origin of life. Dipeptides made from glycine are studied computationally via Density Functional Theory (DFT) using two different basis sets. This reaction was investigated from both a thermodynamic and kinetic point of view.

Sex continuum in the brain and body during adolescence and psychological traits.

Many traits of the brain and body show marked sex differences, but the distributions of their values overlap substantially between the two sexes. To investigate variations associated with biological sex, beyond binary differences, we create continuous sex scores capturing the inter-individual variability in phenotypes. In an adolescent cohort (n = 1,029; 533 females), we have generated three sex scores based on brain-body traits: 'overall' (48 traits), 'pubertal' (26 traits) and 'non-pubertal' (22 traits).