Developing Performance Indicators for Nature-Based Solution Projects in Urban Areas: The Case of Trees in Revitalized Commercial Spaces

It is becoming increasingly important to audit nature-based solutions (NBS) projects to understand their utility in addressing urban sustainability goals. However, the ecological and social complexity of such projects makes it difficult to develop performance indicators. Focusing on specific case studies and specific natural elements could advance this area of research. Urban trees are a vital component of many NBS initiatives. Cities with ambitious tree-planting goals rely on urban revitalization to provide the conditions necessary to grow trees in highly urbanized areas, and in this way deploy NBS projects. We present a conceptual and methodological framework of case-specific performance indicators in the context of NBS projects. This framework addresses the type of parameters, measures, and data that could be considered when assessing small-scale, NBS-inspired, revitalization projects, taking the natural elements of these projects, in this case the trees, as the unit of assessment. Our framework integrates ecological, environmental, and social indicators of tree performance and was developed with the experience gained from on-going, multi-year research projects at two revitalization sites in Toronto, Canada, where street trees grew in engineered sub-surface habitats. The framework includes indicators related to: urban tree ecology; tree characteristics; soils; climate and atmosphere; built environment; tree planting, care, and maintenance; social characteristics of the urban space; and human decisions and governance. This study frames the need for interdisciplinarity and case specificity in the development of performance indicators for NBS projects

Gender Specific Effects of Mood on Alcohol Seeking Behaviors: Preliminary Findings using Intravenous Alcohol Self-Administration

Background Although negative mood has long been implicated in differences in alcohol seeking by men and women, little research has used precise, well-controlled laboratory experiments to examine how negative mood affects alcohol-seeking behaviors. Methods A total of 34 (19 women) community-dwelling, alcohol-using adults aged 21 to 32 (mean age = 24.86, SD = 3.40, 74.3% Caucasian; Alcohol Use Disorders Identification Test [AUDIT] = 10.1, SD = 3.4) completed 2 counterbalanced intravenous alcohol self-administration sessions: one under negative mood and one under neutral mood. Fourteen individuals (9 women; mean age = 25.00, SD = 2.77) participated in an alcohol “liking” experiment (i.e., free access [FA] drinking) and 20 individuals (10 women; mean age = 24.77, SD = 3.73) participated in an alcohol “wanting” experiment, in which gaining access to alcohol required progressively effortful work. There was no significant difference between men and women on the AUDIT, t(32) = −0.38, p = 0.71. Results Priming with negative mood induction caused a significant decrease in self-reported mood (mean change = −1.85, t(32) = −6.81, p < 0.001), as intended. In FA, negative mood was associated with a significantly increased peak breath alcohol concentration (BrAC; F = 9.41, p = 0.01), with a trend toward a greater effect in men than in women (F = 2.67, p = 0.13). Negative mood also had a significant effect on peak BrAC achieved in the progressive work paradigm (F = 5.28, p = 0.04), with a significantly stronger effect in men (F = 5.35, p = 0.03) than women; men also trended toward more consistent work for alcohol across both neutral and negative sessions. Conclusions These preliminary findings demonstrate a gender-specific response on how mood affects alcohol seeking and suggest gender-specific interventions to prevent mood-based alcohol consumption

The potential impact of poorly controlled Type 1 diabetes mellitus upon women of childbearing age.

Published abstrac

Iterative in Situ Click Chemistry Assembles a Branched Capture Agent and Allosteric Inhibitor for Akt1

We describe the use of iterative in situ click chemistry to design an Akt-specific branched peptide triligand that is a drop-in replacement for monoclonal antibodies in multiple biochemical assays. Each peptide module in the branched structure makes unique contributions to affinity and/or specificity resulting in a 200 nM affinity ligand that efficiently immunoprecipitates Akt from cancer cell lysates and labels Akt in fixed cells. Our use of a small molecule to preinhibit Akt prior to screening resulted in low micromolar inhibitory potency and an allosteric mode of inhibition, which is evidenced through a series of competitive enzyme kinetic assays. To demonstrate the efficiency and selectivity of the protein-templated in situ click reaction, we developed a novel QPCR-based methodology that enabled a quantitative assessment of its yield. These results point to the potential for iterative in situ click chemistry to generate potent, synthetically accessible antibody replacements with novel inhibitory properties

Immunomagnetic-enriched subpopulations of melanoma circulating tumour cells (CTCs) exhibit distinct transcriptome profiles

Cutaneous melanoma circulating tumour cells (CTCs) are phenotypically and molecularly heterogeneous. We profiled the gene expression of CTC subpopulations immunomagnetic-captured by targeting either the melanoma-associated marker, MCSP, or the melanoma-initiating marker, ABCB5. Firstly, the expression of a subset of melanoma genes was investigated by RT-PCR in MCSP-enriched and ABCB5-enriched CTCs isolated from a total of 59 blood draws from 39 melanoma cases. Of these, 6 MCSP-and 6 ABCB5-enriched CTC fractions were further analysed using a genome-wide gene expression microarray. The transcriptional programs of both CTC subtypes included cell survival maintenance, cell proliferation, and migration pathways. ABCB5-enriched CTCs were specifically characterised by up-regulation of genes involved in epithelial to mesenchymal transition (EMT), suggesting an invasive phenotype. These findings underscore the presence of at least two distinct melanoma CTC subpopulations with distinct transcriptional programs, which may have distinct roles in disease progression and response to therapy. © 2019 by the authors. Licensee MDPI, Basel, Switzerland

Matrix analysis of identifiability of some finite markov models

Methods developed by Bernbach [1966] and Millward [1969] permit increased generality in analyses of identifiability. Matrix equations are presented that solve part of the identifiability problem for a class of Markov models. Results of several earlier analyses are shown to involve special cases of the equations developed here. And it is shown that a general four-state chain has the same parameter space as an all-or-none model if and only if its representation with an observable absorbing state is lumpable into a Markov chain with three states.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45730/1/11336_2005_Article_BF02291365.pd

vProtein: Identifying Optimal Amino Acid Complements from Plant-Based Foods

Background: Indispensible amino acids (IAAs) are used by the body in different proportions. Most animal-based foods provide these IAAs in roughly the needed proportions, but many plant-based foods provide different proportions of IAAs. To explore how these plant-based foods can be better used in human nutrition, we have created the computational tool vProtein to identify optimal food complements to satisfy human protein needs. Methods: vProtein uses 1251 plant-based foods listed in the United States Department of Agriculture standard release 22 database to determine the quantity of each food or pair of foods required to satisfy human IAA needs as determined by the 2005 daily recommended intake. The quantity of food in a pair is found using a linear programming approach that minimizes total calories, total excess IAAs, or the total weight of the combination. Results: For single foods, vProtein identifies foods with particularly balanced IAA patterns such as wheat germ, quinoa, and cauliflower. vProtein also identifies foods with particularly unbalanced IAA patterns such as macadamia nuts, degermed corn products, and wakame seaweed. Although less useful alone, some unbalanced foods provide unusually good complements, such as Brazil nuts to legumes. Interestingly, vProtein finds no statistically significant bias toward grain/ legume pairings for protein complementation. These analyses suggest that pairings of plant-based foods should be based on the individual foods themselves instead of based on broader food group-food group pairings. Overall, the most efficien

Isolation and detection of circulating tumour cells from metastatic melanoma patients using a slanted spiral microfluidic device

Circulating Tumour Cells (CTCs) are promising cancer biomarkers. Several methods have been developed to isolate CTCs from blood samples. However, the isolation of melanoma CTCs is very challenging as a result of their extraordinary heterogeneity, which has hindered their biological and clinical study. Thus, methods that isolate CTCs based on their physical properties, rather than surface marker expression, such as microfluidic devices, are greatly needed in melanoma. Here, we assessed the ability of the slanted spiral microfluidic device to isolate melanoma CTCs via label-free enrichment. We demonstrated that this device yields recovery rates of spiked melanoma cells of over 80% and 55%, after one or two rounds of enrichment, respectively. Concurrently, a two to three log reduction of white blood cells was achieved with one or two rounds of enrichment, respectively. We characterised the isolated CTCs using multimarker flow cytometry, immunocytochemistry and gene expression. The results demonstrated that CTCs from metastatic melanoma patients were highly heterogeneous and commonly expressed stem-like markers such as PAX3 and ABCB5. The implementation of the slanted microfluidic device for melanoma CTC isolation enables further understanding of the biology of melanoma metastasis for biomarker development and to inform future treatment approaches