Developing a functional connectivity indicator to detect change in fragmented landscapes

Biodiversity indicators are increasingly used to assess progress towards conservation targets. Particular indicators are required to assess the impacts of habitat fragmentation on landscape connectivity and biodiversity value. This paper recognises that connectivity is best defined by the interaction between species and the landscape in which they occur, and proposes a functional approach to assess connectivity. The approach utilises an incidence function model (IFM) as a spatially explicit method to assess potential species-level connectivity. The standard IFM connectivity measure is modified to account for the influence of the surrounding landscape matrix on edge impacts (through a weighted internal edge buffer) and ecological isolation (through an assessment of least-cost distance to account for landscape permeability). It has been recognised that such patch-based connectivity measures can provide misleading results when used to examine change, as they only focus on between patch movements. As a result, a modified hybrid IFM, based on a combination of patch and cell-based approaches, is developed to account for both within (intra) and between (inter) patch connectivity. The resulting probability of functional connectivity (PFC) indicator was evaluated, alongside a patch-based connectivity measure, through the application to four model landscapes based on changes (2 negative and 2 positive) to a control landscape. The four model landscapes illustrate the impact of landscape change on habitat area, edge impacts and matrix permeability. The proposed PFC indicator successfully discriminated between the two negative and the two positive changes to the control landscape, whereas, the patch-based connectivity measure detected change successfully within three of the four landscapes. The PFC indicator predicted a decrease in intra and inter-patch connectivity following habitat loss and fragmentation (negative change 1), whereas patch-based connectivity measures indicate an increase in connectivity between fragmented patches. The proposed PFC indicator offers the opportunity to take the necessary species-based perspective to examine functional connectivity, incorporating habitat preference, dispersal probability, edge impacts and ecological isolation/permeability. The urgency to assess changes in connectivity and support conservation policy means that there is little time to wait for more complete data. We believe the proposed approach provides a robust balance between the data required and the biologically meaningful indicator produced.     

Proteomic analysis and functional characterization of mouse brain mitochondria during aging reveal alterations in energy metabolism

Mitochondria are the main cellular source of reactive oxygen species and are recognized as key players in several age‐associated disorders and neurodegeneration. Their dysfunction has also been linked to cellular aging. Additionally, mechanisms leading to the preservation of mitochondrial function promote longevity. In this study we investigated the proteomic and functional alterations in brain mitochondria isolated from mature (5 months old), old (12 months old), and aged (24 months old) mice as determinants of normal “healthy” aging. Here the global changes concomitant with aging in the mitochondrial proteome of mouse brain analyzed by quantitative mass‐spectrometry based super‐SILAC identified differentially expressed proteins involved in several metabolic pathways including glycolysis, the tricarboxylic acid cycle, and oxidative phosphorylation. Despite these changes, the bioenergetic function of these mitochondria was preserved. Overall, this data indicates that proteomic changes during aging may compensate for functional defects aiding in preservation of mitochondrial function. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD001370 ( http://proteomecentral.proteomexchange.org/dataset/PXD001370 ).     

Drebrin Regulates Neuroblast Migration in the Postnatal Mammalian Brain

After birth, stem cells in the subventricular zone (SVZ) generate neuroblasts that migrate along the rostral migratory stream (RMS) to become interneurons in the olfactory bulb (OB). This migration is crucial for the proper integration of newborn neurons in a pre-existing synaptic network and is believed to play a key role in infant human brain development. Many regulators of neuroblast migration have been identified; however, still very little is known about the intracellular molecular mechanisms controlling this process. Here, we have investigated the function of drebrin, an actin-binding protein highly expressed in the RMS of the postnatal mammalian brain. Neuroblast migration was monitored both in culture and in brain slices obtained from electroporated mice by time-lapse spinning disk confocal microscopy. Depletion of drebrin using distinct RNAi approaches in early postnatal mice affects neuroblast morphology and impairs neuroblast migration and orientation in vitro and in vivo. Overexpression of drebrin also impairs migration along the RMS and affects the distribution of neuroblasts at their final destination, the OB. Drebrin phosphorylation on Ser142 by Cyclin-dependent kinase 5 (Cdk5) has been recently shown to regulate F-actin-microtubule coupling in neuronal growth cones. We also investigated the functional significance of this phosphorylation in RMS neuroblasts using in vivo postnatal electroporation of phosphomimetic (S142D) or non-phosphorylatable (S142A) drebrin in the SVZ of mouse pups. Preventing or mimicking phosphorylation of S142 in vivo caused similar effects on neuroblast dynamics, leading to aberrant neuroblast branching. We conclude that drebrin is necessary for efficient migration of SVZ-derived neuroblasts and propose that regulated phosphorylation of drebrin on S142 maintains leading process stability for polarized migration along the RMS, thus ensuring proper neurogenesis.     

Not so colourful after all: eggshell pigments constrain avian eggshell colour space

Birds'' eggshells are renowned for their striking colours and varied patterns. Although often considered exceptionally diverse, we report that avian eggshell coloration, sampled here across the full phylogenetic diversity of birds, occupies only 0.08–0.10% of the avian perceivable colour space. The concentrations of the two known tetrapyrrole eggshell pigments (protoporphyrin and biliverdin) are generally poor predictors of colour, both intra- and interspecifically. Here, we show that the constrained diversity of eggshell coloration can be accurately predicted by colour mixing models based on the relative contribution of both pigments and we demonstrate that the models'' predictions can be improved by accounting for the reflectance of the eggshell''s calcium carbonate matrix. The establishment of these proximate links between pigmentation and colour will enable future tests of hypotheses on the functions of perceived avian eggshell colours that depend on eggshell chemistry. More generally, colour mixing models are not limited to avian eggshell colours but apply to any natural colour. Our approach illustrates how modelling can aid the understanding of constraints on phenotypic diversity.     

A Home-Based Educational Intervention Improves Patient Activation Measures and Diabetes Health Indicators among Zuni Indians

Introduction

One in three people will be diagnosed with diabetes by 2050, and the proportion will likely be higher among Native Americans. Diabetes control is currently suboptimal in underserved populations despite a plethora of new therapies. Patient empowerment is a key determinant of diabetes control, but such empowerment can be difficult to achieve due to resource limitation and cultural, language and health literacy barriers. We describe a home-based educational intervention using Community Health Representatives (CHRs), leading to improvement in Patient Activation Measures scores and clinical indicators of diabetes control.

Methods

Sixty participants with type 2 diabetes (T2D) completed a baseline evaluation including physical exam, Point of Care (POC) testing, and the Patient Activation Measure (PAM) survey. Participants then underwent a one hour group didactic session led by Community Health Representatives (CHRs) who subsequently carried out monthly home-based educational interventions to encourage healthy lifestyles, including diet, exercise, and alcohol and cigarette avoidance until follow up at 6 months, when clinical phenotyping and the PAM survey were repeated.

Results

PAM scores were increased by at least one level in 35 (58%) participants, while 24 participants who started at higher baseline score did not change. Six months after intervention, mean levels of A1C decreased by 0.7 ± 1.2%; fasting blood glucose decreased by 24.0 ± 38.0 mg/dl; BMI decreased by 1.5 ± 2.1 kg/m2; total cholesterol decreased by 12.0± 28.0 mg/dl; and triglycerides decreased by 52.0 ± 71.0 mg/dl. All of these changes were statistically significant (p<0.05).

Conclusion

This six month, CHR led and community-oriented educational intervention helps inform standards of practice for the management of diabetes, engages diabetic populations in their own care, and reduces health disparities for the underserved population of Zuni Indians.

Trial Registration

ClinicalTrials.gov NCT02339311     

Embryonic Lethality in Homozygous Human Her-2 Transgenic Mice Due to Disruption of the Pds5b Gene

The development of antigen-targeted therapeutics is dependent on the preferential expression of tumor-associated antigens (TAA) at targetable levels on the tumor. Tumor-associated antigens can be generated de novo or can arise from altered expression of normal basal proteins, such as the up-regulation of human epidermal growth factor receptor 2 (Her2/ErbB2). To properly assess the development of Her2 therapeutics in an immune tolerant model, we previously generated a transgenic mouse model in which expression of the human Her2 protein was present in both the brain and mammary tissue. This mouse model has facilitated the development of Her2 targeted therapies in a clinically relevant and suitable model. While heterozygous Her2^+/- mice appear to develop in a similar manner to wild type mice (Her2^-/-), it has proven difficult to generate homozygous Her2^+/+ mice, potentially due to embryonic lethality. In this study, we performed whole genome sequencing to determine if the integration site of the Her2 transgene was responsible for this lethality. Indeed, we report that the Her2 transgene had integrated into the Pds5b (precocious dissociation of sisters) gene on chromosome 5, as a 162 copy concatemer. Furthermore, our findings demonstrate that Her2^+/+ mice, similar to Pds5b^-/- mice, are embryonic lethal and confirm the necessity for Pds5b in embryonic development. This study confirms the value of whole genome sequencing in determining the integration site of transgenes to gain insight into associated phenotypes.     

Alcohol Induced Alterations to the Human Fecal VOC Metabolome

Studies have shown that excessive alcohol consumption impacts the intestinal microbiota composition, causing disruption of homeostasis (dysbiosis). However, this observed change is not indicative of the dysbiotic intestinal microbiota function that could result in the production of injurious and toxic products. Thus, knowledge of the effects of alcohol on the intestinal microbiota function and their metabolites is warranted, in order to better understand the role of the intestinal microbiota in alcohol associated organ failure. Here, we report the results of a differential metabolomic analysis comparing volatile organic compounds (VOC) detected in the stool of alcoholics and non-alcoholic healthy controls. We performed the analysis with fecal samples collected after passage as well as with samples collected directly from the sigmoid lumen. Regardless of the approach to fecal collection, we found a stool VOC metabolomic signature in alcoholics that is different from healthy controls. The most notable metabolite alterations in the alcoholic samples include: (1) an elevation in the oxidative stress biomarker tetradecane; (2) a decrease in five fatty alcohols with anti-oxidant property; (3) a decrease in the short chain fatty acids propionate and isobutyrate, important in maintaining intestinal epithelial cell health and barrier integrity; (4) a decrease in alcohol consumption natural suppressant caryophyllene; (5) a decrease in natural product and hepatic steatosis attenuator camphene; and (6) decreased dimethyl disulfide and dimethyl trisulfide, microbial products of decomposition. Our results showed that intestinal microbiota function is altered in alcoholics which might promote alcohol associated pathologies.