MMP-8 Activity Profiling In GCF Samples

Background: In healthy tissues a family of enzymes known as matrix metalloproteinases (MMPs) play an important role in regulating turnover and metabolism of connective tissue collagen. MMPs have been implicated in a wide variety of pathological conditions including periodontal disease. MMP-8 has been extensively studied in periodontal health and disease using enzyme-linked immunosorbent assay (ELISA). Although ELISA quantifies the presence of the MMP-8 protein, it is not possible to determine enzyme activity using this method. Furthermore, since members of the MMP family have poor substrate sequence specificity, a peptide substrate alone cannot differentiate the activity of MMP-8 from other MMPs that may be present in biological samples. Objectives: In the present study, a method to specifically measure MMP-8 activity in gingival crevicular fluid (GCF) samples was developed. Methods: GCF was collected from healthy patients and those with periodontal disease using Perio paper strips. Samples were stored frozen until required for analysis. A specific MMP-8 antibody was used to coat 96 well microtitre plates to selectively remove MMP-8 from the GCF samples. Following a washing step, the activity of bound MMP-8 was measured over 70 minutes using a fluorogenic (FRET) substrate. Results: GCF from healthy subjects exhibited basal MMP-8 activity but in diseased samples MMP-8 activity was significantly higher. Minimal binding of other recombinant MMPs to the specific MMP-8 antibody was observed in cross-reactivity studies. Conclusion: We show for the first time that MMP-8 activity was significantly increased in GCF from periodontitis sites compared with activity levels in healthy sites. Further studies of MMP-8 activity in GCF samples should improve our understanding of its destructive role in periodontal disease.

The dust environment of comet 67P/Churyumov-Gerasimenko from Rosetta OSIRIS and VLT observations in the 4.5 to 2.9 au heliocentric distance range inbound

Context. The ESA Rosetta spacecraft, currently orbiting around comet 67P/Churyumov-Gerasimenko, has already provided in situ measurements of the dust grain properties from several instruments,particularly OSIRIS and GIADA. We propose adding value to those measurements by combining them with ground-based observations of the dust tail to monitor the overall, time-dependent dust-production rate and size distribution.
Aims. To constrain the dust grain properties, we take Rosetta OSIRIS and GIADA results into account, and combine OSIRIS data during the approach phase (from late April to early June 2014) with a large data set of ground-based images that were acquired with the ESO Very Large Telescope (VLT) from February to November 2014.
Methods. A Monte Carlo dust tail code, which has already been used to characterise the dust environments of several comets and active asteroids, has been applied to retrieve the dust parameters. Key properties of the grains (density, velocity, and size distribution) were obtained from Rosetta observations: these parameters were used as input of the code to considerably reduce the number of free parameters. In this way, the overall dust mass-loss rate and its dependence on the heliocentric distance could be obtained accurately.
Results. The dust parameters derived from the inner coma measurements by OSIRIS and GIADA and from distant imaging using VLT data are consistent, except for the power index of the size-distribution function, which is α = −3, instead of α = −2, for grains smaller than 1 mm. This is possibly linked to the presence of fluffy aggregates in the coma. The onset of cometary activity occurs at approximately 4.3 AU, with a dust production rate of 0.5 kg/s, increasing up to 15 kg/s at 2.9 AU. This implies a dust-to-gas mass ratio varying between 3.8 and 6.5 for the best-fit model when combined with water-production rates from the MIRO experiment.

Psychological determinants of consumer acceptance of personalised nutrition in 9 European countries

OBJECTIVE: To develop a model of the psychological factors which predict people's intention to adopt personalised nutrition. Potential determinants of adoption included perceived risk and benefit, perceived self-efficacy, internal locus of control and health commitment.

METHODS: A questionnaire, developed from exploratory study data and the existing theoretical literature, and including validated psychological scales was administered to N=9381 participants from 9 European countries (Germany, Greece, Ireland, Poland, Portugal, Spain, the Netherlands, the UK, and Norway).

RESULTS: Structural equation modelling indicated that the greater participants' perceived benefits to be associated with personalised nutrition, the more positive their attitudes were towards personalised nutrition, and the greater their intention to adopt it. Higher levels of nutrition self-efficacy were related to more positive attitudes towards, and a greater expressed intention to adopt, personalised nutrition. Other constructs positively impacting attitudes towards personalised nutrition included more positive perceptions of the efficacy of regulatory control to protect consumers (e.g. in relation to personal data protection), higher self-reported internal health locus of control, and health commitment. Although higher perceived risk had a negative relationship with attitude and an inverse relationship with perceived benefit, its effects on attitude and intention to adopt personalised nutrition was less influential than perceived benefit. The model was stable across the different European countries, suggesting that psychological factors determining adoption of personalised nutrition have generic applicability across different European countries.

CONCLUSION: The results suggest that transparent provision of information about potential benefits, and protection of consumers' personal data is important for adoption, delivery of public health benefits, and commercialisation of personalised nutrition.