Distinct methylation patterns in genes that affect mitochondrial function are associated with kidney disease in blood-derived DNA from individuals with Type 1 diabetes

AIMS: Epigenetic modifications, such as DNA methylation, can influence the risk of developing kidney disease. We studied methylation profiles in genes related to mitochondrial function to assess whether differences in these epigenetic features were associated with diabetic kidney disease in people with Type 1 diabetes.

METHODS: A case-control association study was undertaken (n = 196 individuals with diabetic kidney disease vs. n = 246 individuals without renal disease). Participants were White and diagnosed with Type 1 diabetes before 31 years of age. Genes that encode mitochondrial proteins (n = 780) were downloaded from mitoproteome. org. DNA methylation profiles from blood-derived DNA were generated using the Illumina Infinium HumanMethylation450 (262 samples) and Illumina Infinium HumanMethylation27 (192 samples) arrays. Beta values (β) were calculated and quality control was conducted, including evaluating blind duplicate DNA samples.

RESULTS: Fifty-four Cytosine-phosphate-Guanine probes across 51 unique genes were significantly associated (P ≤ 10(-8) ) with diabetic kidney disease across both the 450K and the 27K methylation arrays. A subanalysis, employing the 450K array, identified 755 Cytosine-phosphate-Guanine probes in 374 genes that were significantly associated (P ≤ 10(-8) ) with end-stage renal disease. Forty-six of the top-ranked variants for diabetic kidney disease were also identified as being differentially methylated in individuals with end-stage renal disease. The largest change in methylation (Δβ = 0.2) was observed for cg03169527 in the TAMM41 gene, chromosome 3p25.2. Three genes, PMPCB, TSFM and AUH, were observed with differential methylation at multiple Cytosine-phosphate-Guanine sites each (P < 10(-12) ).

CONCLUSIONS: Differential methylation in genes that influence mitochondrial function are associated with kidney disease in individuals with Type 1 diabetes. 

Psychotropic prescribing patterns among adolescents in Northern Ireland presenting with psychotic symptoms during a 5-year period

Objective: To report new prescriptions of psychotropic medications among adolescents presenting with new onset psychotic symptoms during a 5-year period.
Methods: The Northern Ireland Early Onset Psychosis Study is a naturalistic longitudinal observational study of patients with an early onset first psychotic episode. All patients aged <18 years presenting to specialist mental health services across Northern Ireland with new onset psychotic symptoms between 2001 and 2006 were recruited (n = 113). Clinical case notes were analysed retrospectively for details of subsequent treatment with psychotropic medications.
Results: A total of 100 patients (88.5%) were prescribed some form of psychotropic medication. Over three-quarters of patients received an antipsychotic as their first medication. Risperidone (45.8%), olanzapine (24.0%) and chlorpromazine (12.5%) were the most commonly prescribed first-line antipsychotic medications. Of a total of 160 antipsychotic prescriptions,81 (50.6%) were off-label. Prescriptions were most likely to have been deemed off-label owing to medications not being licensed in under-18s (71.6% of off-label prescriptions) but other reasons were medications being used outsidelicensed age ranges (23.5%) and outside licensed indications (4.9%).
Conclusions: This is the first study examining psychotropic prescribing patterns in a complete sample of all children and adolescents presenting with early onset psychotic episodes in a single geographical area. The observation of risperidoneas the most commonly prescribed antipsychotic was in keeping with previous studies in child and adolescent populations. Rates of off-label prescribing were lower than previously observed although our study was the first to investigateoff-label prescribing solely in children and adolescents presenting with psychotic symptoms.

Control Patterns in Contracting-Out Relationships: It Matters What You Do, Not Who You Are

The contracting-out of public services has often been accompanied by a strong academic focus on the emergence of new governance forms, and a general neglect of the processes and practices through which contracted-out services are controlled and monitored. To fill this gap, we draw on contracting-out and inter-organizational control literatures to explore the adoption of control mechanisms for public service provision at the municipal level and the variables that can explain their choice. Our results, based on a survey of Italian municipalities, show that in the presence of contracting-out, market-, hierarchy- and trust-based controls display different intensities, can co-exist and are explained by different variables. Service characteristics are more effective in explaining market- and hierarchy-based controls than relationship characteristics. Trust-based controls are the most widespread, but cannot be explained by the variables traditionally identified in contracting-out and inter-organizational control studies.

Contribution of rarity and commonness to patterns of species richness

There is little understanding in ecology as to how biodiversity patterns emerge from the distribution patterns of individual species. Here we consider the question of the contributions of rare (restricted range) and common (widespread) species to richness patterns. Considering a species richness pattern, is most of the spatial structure, in terms of where the peaks and troughs of diversity lie, caused by the common species or the rare species (or neither)? Using southern African and British bird richness patterns, we show here that commoner species are most responsible for richness patterns. While rare and common species show markedly different species richness patterns, most spatial patterning in richness is caused by relatively few, more common, species. The level of redundancy we found suggests that a broad understanding of what determines the majority of spatial variation in biodiversity may be had by considering only a minority of species.

Coherence and discontinuity in the scaling of species' distribution patterns

The spatial distribution of a species can be characterized at many different spatial scales, from fine-scale measures of local population density to coarse-scale geographical-range structure. Previous studies have shown a degree of correlation in species' distribution patterns across narrow ranges of scales, making it possible to predict fine-scale properties from coarser-scale distributions. To test the limits of such extrapolation, we have compiled distributional information on 16 species of British plants, at scales ranging across six orders of magnitude in linear resolution (1 in to 100 km). As expected, the correlation between patterns at different spatial scales tends to degrade as the scales become more widely separated. There is, however, an abrupt breakdown in cross-scale correlations across intermediate (ca. 0.5 km) scales, suggesting that local and regional patterns are influenced by essentially non-overlapping sets of processes. The scaling discontinuity may also reflect characteristic scales of human land use in Britain, suggesting a novel method for analysing the 'footprint' of humanity on a landscape.