Hair and salivary cortisol in a cohort of women with chronic fatigue syndrome

Hypocortisolism has been found in CFS patients in blood, urine, and saliva. It is unclear if hypocortisolism can also be demonstrated using long-term cortisol measurements, such as cortisol in hair. In addition, the interaction between the HPA axis and the immune system, both expected to play an important role in CFS, is unclear. The objective of the current study was to compare hair and salivary cortisol concentrations in a cohort of female CFS patients to those in healthy controls, and to test the effect of an interleukin-1 receptor antagonist (anakinra) on the HPA axis. Salivary cortisol concentrations of 107 CFS patients were compared to 59 healthy controls, with CFS patients showing a decreased cortisol awakening response (4.2 nmol/L ± 5.4 vs 6.1 nmol/L ± 6.3, p = 0.036). Total cortisol output during the day did not differ significantly in saliva, but there was a trend to lower hair cortisol in a subset of 46 patients compared to 46 controls (3.8 pg/mg ± 2.1 vs 4.3 pg/mg ± 1.8, p = 0.062). After four weeks of treatment with either daily anakinra (100 mg/day) or placebo, there was a slight decrease of hair cortisol concentrations in the anakinra group compared to an increase in the placebo group (p = 0.022). This study confirms the altered dynamics of the HPA axis in a group of CFS patients, and for the first time shows that this might also be present for long-term cortisol measures

Hair as a long-term retrospective cortisol calendar in orang-utans (Pongo spp.): New perspectives for stress monitoring in captive management and conservation

This study examined whether the method of hair cortisol analysis is applicable to orang-utans (Pongo spp.) and can help to advance the objective monitoring of stress in non-human primates. Specifically, we examined whether fundamental prerequisites for hair cortisol analysis are given in orang-utans and, subsequently, whether segmental hair analysis may provide a retrospective calendar of long-term cortisol levels. For this, hair samples were examined from 71 zoo-living orang-utans (38 males, mean age=22.5years; 33 females, mean age=24years) for which detailed records of past living conditions were available. Hair samples were cut from defined body regions and were analyzed either in full length or in segments. Results showed that hair cortisol concentrations (HCC) were unrelated to age or sex of the individual animal. HCC were found to be higher in orang-utans, with perceived long-term stressful periods (mean HCC=43.6±26.5pg/mg, n=13) compared to animals without perceived stressful periods (19.3±5.5pg/mg, n=55, P40cm. The possibility of obtaining a retrospective calendar of stress-related cortisol changes through hair analysis was further supported by data of three case studies showing close correspondence between the segmental HCC results and keeper reports of stress exposure during the respective time periods. Finally, low within-animal variation in HCC from different body regions (CV%: 14.3) suggested that this method may also be applicable to naturally shed hair, e.g., as found in nests of wild orang-utans and other great apes. Therefore, using HCC may provide an ideal non-invasive tool for both captive management as well as conservation in orang-utans and potentially other great apes

GolP-CHARMM : first-principles based force fields for the interaction of proteins with Au(111) and Au(100)

Computational simulation of peptide adsorption at the aqueous gold interface is key to advancing the development of many applications based on gold nanoparticles, ranging from nanomedical devices to smart biomimetic materials. Here, we present a force field, GolP-CHARMM, designed to capture peptide adsorption at both the aqueous Au(111) and Au(100) interfaces. The force field, compatible with the bio-organic force field CHARMM, is parametrized using a combination of experimental and first-principles data. Like its predecessor, GolP (Iori, F.; et al. J. Comput. Chem.2009, 30, 1465), this force field contains terms to describe the dynamic polarization of gold atoms, chemisorbing species, and the interaction between sp2 hybridized carbon atoms and gold. A systematic study of small molecule adsorption at both surfaces using the vdW-DF functional (Dion, M.; et al. Phys. Rev. Lett.2004, 92, 246401–1. Thonhauser, T.; et al. Phys. Rev. B2007, 76, 125112) is carried out to fit and test force field parameters and also, for the first time, gives unique insights into facet selectivity of gold binding in vacuo. Energetic and spatial trends observed in our DFT calculations are reproduced by the force field under the same conditions. Finally, we use the new force field to calculate adsorption energies, under aqueous conditions, for a representative set of amino acids. These data are found to agree with experimental findings

First-principles-based force field for the interaction of proteins with Au(100)(5 × 1) : an extension of GolP-CHARMM

Noncovalent recognition between peptides and inorganic materials is an established phenomenon. Key to exploiting these interactions in a wide range of materials self-assembly applications would be to harness the facet-selective control of peptide binding onto these materials. Fundamental understanding of what drives facet-selectivity in peptide binding is developing, but as yet is not sufficient to enable design of predictable facet-specific sequences. Computational simulation of the aqueous peptide–gold interface, commonly used to understand the mechanisms driving adsorption at an atomic level, has thus far neglected the role that surface reconstruction might play in facet specificity. Here the polarizable GolP-CHARMM suite of force fields is extended to include the reconstructed Au(100) surface. The force field, compatible with the bio-organic force field CHARMM, is parametrized using first-principles data. Our extended force field is tailored to reproduce the heterogeneity of weak chemisorbing N and S species to specific locations in the Au(100)(5 × 1) surface identified from the first-principles calculations. We apply our new model to predict and compare the three-dimensional structure of liquid water at Au(111), Au(100)(1 × 1), and Au(100)(5 × 1) interfaces. Using molecular dynamics simulations, we predict an increased likelihood for water-mediated peptide adsorption at the aqueous–Au(100)(1 × 1) interface compared with the Au(100)(5 × 1) interface. Therefore, our findings suggest that peptide binding can discriminate between the native and reconstructed Au(100) interfaces and that the role of reconstruction on binding at the Au(100) interface should not be neglected