A new statistical framework for the quantification of covariate associations with species distributions

Identifying processes that shape species geographical ranges is a prerequisite for understanding environmental change. Currently, species distribution modelling methods do not offer credible statistical tests of the relative influence of climate factors and typically ignore other processes (e.g. biotic interactions and dispersal limitation). We use a hierarchical model fitted with Markov Chain Monte Carlo to combine ecologically plausible niche structures using regression splines to describe unimodal but potentially skewed response terms. We apply spatially explicit error terms that account for (and may help identify) missing variables. Using three example distributions of European bird species, we map model results to show sensitivity to change in each covariate. We show that the overall strength of climatic association differs between species and that each species has considerable spatial variation in both the strength of the climatic association and the sensitivity to climate change. Our methods are widely applicable to many species distribution modelling problems and enable accurate assessment of the statistical importance of biotic and abiotic influences on distributions.

Strategies for detection and quantification of cysteine cathepsins-evolution from bench to bedside

The cysteine cathepsins are a family of closely related thiol proteases, normally found in the endosomal and lysosomal compartments of cells. A growing body of evidence has clearly linked the dysregulated activity of these proteases with many diseases and pathological conditions, offering therapeutic, prognostic and diagnostic potential. However, these proteases are synthesised as inactive precursors and once activated, are controlled by factors such as pH and presence of endogenous inhibitors, meaning that overall protein and activity levels do not necessarily correlate. In order to fully appreciate the role and potential of these proteases, tools are required that can detect and quantify overall cathepsin activity. Two main strategies have evolved; synthetic substrates and protease-labelling with affinity-binding probes (or activity-based probes). This review examines recent innovations in these approaches as the field moves towards developing tools that could ultimately be used in patients for diagnostic or prognostic applications.

Quantification of Type VI secretion system activity in macrophages infected with Burkholderia cenocepacia

The Gram-negative bacterial type VI Secretion System (T6SS) delivers toxins to kill orinhibit the growth of susceptible bacteria, while others target eukaryotic cells. Deletionof atsR, a negative regulator of virulence factors in B. cenocepacia K56-2, increasesT6SS activity. Macrophages infected with a K56-2 ΔatsR mutant display dramaticalterations in their actin cytoskeleton architecture that rely on the T6SS, which isresponsible for the inactivation of multiple Rho-family GTPases by an unknownmechanism. We employed a strategy to standardize the bacterial infection ofmacrophages and densitometrically quantify the T6SS-associated cellular phenotype,which allowed us to characterize the phenotype of systematic deletions of each genewithin the T6SS cluster and ten vgrG encoding genes in K56-2 ΔatsR. None of thegenes from the T6SS core cluster and the individual vgrGs were directly responsiblefor the cytoskeletal changes in infected cells. However, a mutant strain with all vgrGgenes deleted was unable to cause macrophage alterations. Despite not being able toidentify a specific effector protein responsible for the cytoskeletal defects inmacrophages, our strategy resulted in the identification of the critical core componentsand accessory proteins of the T6SS assembly machinery and provides a screeningmethod to detect T6SS effectors targeting the actin cytoskeleton in macrophages byrandom mutagenesis.

A novel fluorescence-based assay for the rapid detection and quantification of cellular deoxyribonucleoside triphosphates

Current methods for measuring deoxyribonucleoside triphosphates (dNTPs) employ reagent and labor-intensive assays utilizing radioisotopes in DNA polymerase-based assays and/or chromatography-based approaches. We have developed a rapid and sensitive 96-well fluorescence-based assay to quantify cellular dNTPs utilizing a standard real-time PCR thermocycler. This assay relies on the principle that incorporation of a limiting dNTP is required for primer-extension and Taq polymerase-mediated 5-3' exonuclease hydrolysis of a dual-quenched fluorophore-labeled probe resulting in fluorescence. The concentration of limiting dNTP is directly proportional to the fluorescence generated. The assay demonstrated excellent linearity (R(2) > 0.99) and can be modified to detect between ∼0.5 and 100 pmol of dNTP. The limits of detection (LOD) and quantification (LOQ) for all dNTPs were defined as <0.77 and <1.3 pmol, respectively. The intra-assay and inter-assay variation coefficients were determined to be <4.6% and <10%, respectively with an accuracy of 100 ± 15% for all dNTPs. The assay quantified intracellular dNTPs with similar results obtained from a validated LC-MS/MS approach and successfully measured quantitative differences in dNTP pools in human cancer cells treated with inhibitors of thymidylate metabolism. This assay has important application in research that investigates the influence of pathological conditions or pharmacological agents on dNTP biosynthesis and regulation.

LL-37 quantification in gingival crevicular fluid (GCF) from periodontitis patients

Background: LL-37, an anti-microbial peptide belonging to the cathelicidin family, derives its name from two N-terminal leucine residues and the 37 amino acids comprising the peptide. LL-37 is the only known cathelicidin to exist in humans. It exhibits both anti-bacterial and immunomodulatory properties. Objectives: In the current study, LL-37 was quantified in GCF from periodontitis patients. Previous studies have relied on qualitative results from Western blotting to detect LL-37 in GCF. This study aims to quantitatively determine LL-37 levels in GCF. Methods: GCF and bacterial plaque samples, pre- and post non-surgical periodontal treatment, were collected from 4 sites in 12 patients presenting with advanced periodontitis. Plaque samples were analysed by QPCR for the presence or absence of the periodontopathic bacterium Porphyromonas gingivalis (P. gingivalis). The concentrations of LL-37 in patient samples pre- and post-treatment were deduced by indirect enzyme linked immunosorbent assay (ELISA). Results: Concentrations of LL-37 in samples varied between a minimum and maximum of 1 and 40 ng/ml. LL-37 levels were shown, pre-treatment, to be higher in deep pockets (6-9 mm) compared with shallower pockets (3-5 mm) and highest in those sites which were positive for P. gingivalis. Non-surgical therapy resulted in a significant improvement in clinical indices while expression levels of P. gingivalis were reduced. Following treatment, LL-37 levels in GCF decreased from an average of 6.5 ± 1 - 5.8 ± 1.2 ng/ml. The most interesting observation however was the reduction in LL-37 levels, from an average of 7 ± 1.3 – 2.5 ± 1.1 ng/ml in those sites where P. gingivalis infection was eradicated post-treatment. Conclusions: LL-37 levels are increased at sites showing advanced periodontal disease, reduce following treatment and appear to be linked to the presence of P. gingivalis. This study will further our knowledge of host defence in chronic diseases such as periodontitis.

Quantification of HER2 heterogeneity in breast cancer-implications for identification of sub-dominant clones for personalised treatment

Breast cancer is a heterogeneous disease, at both an inter- and intra-tumoural level. Appreciating heterogeneity through the application of biomarkers and molecular signatures adds complexity to tumour taxonomy but is key to personalising diagnosis, treatment and prognosis. The extent to which heterogeneity exists, and its interpretation remains a challenge to pathologists. Using HER2 as an exemplar, we have developed a simple reproducible heterogeneity index. Cell-to-cell HER2 heterogeneity was extensive in a proportion of both reported 'amplified' and 'non-amplified' cases. The highest levels of heterogeneity objectively identified occurred in borderline categories and higher ratio non-amplified cases. A case with particularly striking heterogeneity was analysed further with an array of biomarkers in order to assign a molecular diagnosis. Broad biological complexity was evident. In essence, interpretation, depending on the area of tumour sampled, could have been one of three distinct phenotypes, each of which would infer different therapeutic interventions. Therefore, we recommend that heterogeneity is assessed and taken into account when determining treatment options.

Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium

BACKGROUND: Smoking is the most important individual risk factor for many cancer sites but its association with breast and prostate cancer is not entirely clear. Rate advancement periods (RAPs) may enhance communication of smoking related risk to the general population. Thus, we estimated RAPs for the association of smoking exposure (smoking status, time since smoking cessation, smoking intensity, and duration) with total and site-specific (lung, breast, colorectal, prostate, gastric, head and neck, and pancreatic) cancer incidence and mortality.

METHODS: This is a meta-analysis of 19 population-based prospective cohort studies with individual participant data for 897,021 European and American adults. For each cohort we calculated hazard ratios (HRs) for the association of smoking exposure with cancer outcomes using Cox regression adjusted for a common set of the most important potential confounding variables. RAPs (in years) were calculated as the ratio of the logarithms of the HRs for a given smoking exposure variable and age. Meta-analyses were employed to summarize cohort-specific HRs and RAPs.

RESULTS: Overall, 140,205 subjects had a first incident cancer, and 53,164 died from cancer, during an average follow-up of 12 years. Current smoking advanced the overall risk of developing and dying from cancer by eight and ten years, respectively, compared with never smokers. The greatest advancements in cancer risk and mortality were seen for lung cancer and the least for breast cancer. Smoking cessation was statistically significantly associated with delays in the risk of cancer development and mortality compared with continued smoking.

CONCLUSIONS: This investigation shows that smoking, even among older adults, considerably advances, and cessation delays, the risk of developing and dying from cancer. These findings may be helpful in more effectively communicating the harmful effects of smoking and the beneficial effect of smoking cessation.