Physiological and functional parameters, such as body composition, or physical fitness are known to differ between men and women and to change with age. The goal of this study was to investigate how sex and age-related physiological conditions are reflected in the metabolome of healthy humans and whether sex and age can be predicted based on the plasma and urine metabolite profiles.In the cross-sectional KarMeN (Karlsruhe Metabolomics and Nutrition) study 301 healthy men and women aged 18–80 years were recruited. Participants were characterized in detail applying standard operating procedures for all measurements including anthropometric, clinical, and functional parameters. Fasting blood and 24 h urine samples were analyzed by targeted and untargeted metabolomics approaches, namely by mass spectrometry coupled to one- or comprehensive two-dimensional gas chromatography or liquid chromatography, and by nuclear magnetic resonance spectroscopy. This yielded in total more than 400 analytes in plasma and over 500 analytes in urine. Predictive modelling was applied on the metabolomics data set using different machine learning algorithms.Based on metabolite profiles from urine and plasma, it was possible to identify metabolite patterns which classify participants according to sex with > 90% accuracy. Plasma metabolites important for the correct classification included creatinine, branched-chain amino acids, and sarcosine. Prediction of age was also possible based on metabolite profiles for men and women, separately. Several metabolites important for this prediction could be identified including choline in plasma and sedoheptulose in urine. For women, classification according to their menopausal status was possible from metabolome data with > 80% accuracy.The metabolite profile of human urine and plasma allows the prediction of sex and age with high accuracy, which means that sex and age are associated with a discriminatory metabolite signature in healthy humans and therefore should always be considered in metabolomics studies.

We introduce visible light induced dynamic covalent chemistry as a powerful reversible ligation tool based on a wavelength-dependent photon efficiency analysis (WPEA). We demonstrate by a monochromatic wavelength scan of the reversible dimerization of styrylpyrene at constant photon count that the system is most effective in its forward reaction at 435 nm, while the highest reverse reaction efficiency is observed at 330 nm. Critically, these optimum wavelengths are not accessible by inspection of the UV/vis spectra of the monomer and the dimer. Application of the identified reaction conditions enabled an entirely λ-orthogonal photoreversible polymer ligation using visible light, including with readily available light sources. The current study thus makes a [2 + 2] reaction system applicable in the critical visible light regime based on quantitative wavelength resolved data for applications in recodeable surface design in biological environments as well as reprogrammable materials systems.

The use of tensorial orientational constraints for NMR-derived residual dipolar couplings (RDCs) in molecular dynamics simulations brings detailed structural models of flexible molecules in solution in reach.

High-frequency electron paramagnetic resonance (HF-EPR) spectroscopy was employed to examine the oxidation state and local structure of Ni and Mn ions in Ni,Mn-codoped LiCoO(2). The assignment of EPR signals was based on Mg,Mn-codoped LiCoO(2) and Ni-doped LiCoO(2) used as Mn(4+) and low-spin Ni(3+) EPR references. Complementary information on the oxidation state of transition-metal ions was obtained by solid-state (6,7)Li NMR spectroscopy. For slightly doped oxides (LiCo(1-x)Ni(x)Mn(x)O(2) with x < 0.05), nickel and manganese substitute for cobalt in the CoO(2) layers and are stabilized as Ni(3+) and Mn(4+) ions. The local structure of Mn(4+) ions was determined by modeling of the axial zero-field-splitting parameter in the framework of the Newman superposition model. It has been found that the local trigonal distortion around Mn(4+) is smaller in comparison with that of the host site. To achieve a local compensation of Mn(4+) charge, several defect models are discussed. With an increase in the total dopant content (LiCo(1-x)Ni(x)Mn(x)O(2) and 0.05

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We introduce the facile synthesis of fluorescent single-chain nanoparticles (SCNPs) based on chain-shattering acyclic diene metathesis (ADMET) polymers featuring self-immolative azobenzene motifs. An electrophilic alkoxyetherification is utilized to introduce the photoreactive moieties required for the subsequent chain collapse via UV-induced nitrile imine-mediated tetrazole-ene cycloaddition (NITEC).

Cigarette smoking is a serious health problem of our society. It is known that cigarette smoke is a cell mutagen and carcinogen, and that it may affect adversely male fertility. The possible detrimental effects on sperm cells are of great interest but the data available to support this statement are somewhat elusive. To approach this problem we examined conventional semen parameters, plasma membrane translocation of phosphatidylserine (PS) (annexin V/6-CFDA cell staining) and sperm DNA integrity (comet assay) in a group of healthy man smoking cigarettes on a regular basis. The results of the study were compared with the results of the same tests in healthy non-smoking donors. Significant difference in standard sperm parameters between the two groups was not found. Intensive expression of PS on the sperm plasma membrane surface (assayed by annexin V positive staining) was detected in the smokers group. There is a significant increase of population of apoptotic spermatozoa in ejaculates of smokers. Albeit DNA damages (high frequencies of double- and single- stranded DNA breaks) in spermatozoa of smokers are increased compared with non-smokers, but this difference is not statistically significant. Sperm DNA integrity of healthy smokers remains in the normal range, but a clear negative trend is observed, especially in respect of disturbance of plasma membrane phospholipid asymmetry.