Cost-efficient selection of a marker panel in genetic studies

Genetic techniques are frequently used to sample and monitor wildlife populations. The goal of these studies is to maximize the ability to distinguish individuals for various genetic inference applications, a process which is often complicated by genotyping error. However, wildlife studies usually have fixed budgets, which limit the number of genetic markers available for inclusion in a study marker panel. Prior to our study, a formal algorithm for selecting a marker panel that included genotyping error, laboratory costs, and ability to distinguish individuals did not exist. We developed a constrained nonlinear programming optimization algorithm to determine the optimal number of markers for a marker panel, initially applied to a pilot study designed to estimate black bear abundance in central Georgia. We extend the algorithm to other genetic applications (e.g., parentage or population assignment) and incorporate possible null alleles. Our algorithm can be used in wildlife pilot studies to assess the feasibility of genetic sampling for multiple genetic inference applications. © 2011 The Wildlife Society.     

The marine sponge Ianthella basta can recover from stress-induced tissue regression

Sponges often exhibit tissue regression in response to stressful conditions. This study investigated whether handling stress invoked tissue regression in Ianthella basta and assessed whether sponges could recover from this regressed tissue state. Six necrotic specimens and 12 healthy explants were collected at Orpheus Is. Australia and transported to aquarium facilities. Sponges were photographed daily and an integrated density (ID) measurement was used to quantify tissue regression. Histological samples were taken from sponge explants to compare cellular organization. Bacterial communities of regressed and recovered tissue were compared using Denaturing Gradient Gel Electrophoresis (DGGE). After 12 h both necrotic and healthy sponges displayed substantial tissue regression. However, within 72 h all sponges recovered to their original condition. The ID of the sponge tissue doubled, confirming tissue recovery in I. basta. Sponges affected by tissue regression had significantly fewer choanocyte chambers and more densely packed granulated cells than recovered sponges. DGGE revealed the same microbial symbionts in both regressed and recovered sponges. Handling stress associated with collection and transportation is sufficient to invoke tissue regression in this species, but sponges can rapidly recover. This study contributes to our understanding of how sponges respond to environmental pressures, influencing population resilience and persistence.     

Cryopreserved human haematopoietic stem cells retain engraftment potential after extended (5-14 years) cryostorage

Harvesting of stem cells during the early phases of treatment with no immediate intention to perform a stem cell transplant is becoming an increasingly common practice. Such "insurance" harvests are often stored for many years before being needed for transplant in a subsequent relapse. The effect of long-term cryostorage (5-14 years) on the viability and functional capacity of haematopoietic stem cells (HSCs) was investigated in 40 bone marrow and peripheral blood harvests using standard in vitro methods, the colony forming unit-granulocyte/macrophage (CFU-GM) assay and a single platform viable CD34(+) cell absolute count by flow cytometry. Forty percent of harvests had CD34(+) HSC counts of at least 0.7 x 10(6)/kg bodyweight and 85% had CFU-GM counts of at least 1.0 x 10(5)/kg bodyweight, these values representing our institutional minimum requirements for safe transplantation. Based on these results, it appears that HSC collections can remain adequate for safe transplantation after up to 14 years of cryostorage. However, as deterioration of HSC quality and viability may occur, some precautions may be warranted, namely harvesting higher than normal numbers of HSCs in collections intended for long-term storage and repeating in vitro assays on harvests after long-term storage prior to transplantation.     

Basal level of human platelet prostaglandins: PGE1 is more elevated than PGE2

Radioimmunoassays of platelet prostaglandins E₁ and F_1α in platelet rich plasma or platelet suspension, demonstrate that both PGE₁ and PGF_1α are present at higher concentrations than prostaglandins E₂ and F_2α. Gas chromatography — mass spectrometry determinations of prostaglandins E₁ and E₂ in resting washed platelets confirm this difference. Lastly, there is a greater incorporation of [1-¹⁴C] acetate into prostaglandins E₁ and F_1α compared to that into prostaglandins E₂ and F_2α.     

Tryptophan 67 in the human VPAC(1) receptor: crucial role for VIP binding

The human receptor subtype for VIP and PACAP, referred to as VPAC(1) receptor, has a large N-terminal extracellular domain which is critical for VIP binding. We further investigated this domain by mutating 12 amino acid residues which could participate in the formation of a tight bend (W67) or a coiled coil motif. They were changed to alanine (A) and the cDNAs were transiently transfected into Cos cells. All mutants but W67A exhibited K(d) values similar to that of the wild-type receptor. For the W67A mutant, no specific (125)I-VIP binding could be observed. Mutants at the W67 site were further characterized after stable transfection of epitope-tagged VPAC(1) receptor-GFP fusion proteins into CHO cells. W67A, W67E, W67H, and W67K mutants neither bound VIP nor mediated adenylyl cyclase activation by VIP. The W67F mutant mediated stimulation of adenylyl cyclase only at high VIP concentrations. Microscopic analysis and antibody binding experiments showed that all mutants were similarly expressed at the cell surface of CHO cells. Therefore tryptophan 67 in the human VPAC(1) receptor plays a crucial role in VIP binding due, in part, to its aromatic moiety.     

A clinical return-to-work rule for patients with back pain

Background

Tools for early identification of workers with back pain who are at high risk of adverse occupational outcome would help concentrate clinical attention on the patients who need it most, while helping reduce unnecessary interventions (and costs) among the others. This study was conducted to develop and validate clinical rules to predict the 2-year work disability status of people consulting for nonspecific back pain in primary care settings.

Methods

This was a 2-year prospective cohort study conducted in 7 primary care settings in the Quebec City area. The study enrolled 1007 workers (participation, 68.4% of potential participants expected to be eligible) aged 18–64 years who consulted for nonspecific back pain associated with at least 1 day''s absence from work. The majority (86%) completed 5 telephone interviews documenting a large array of variables. Clinical information was abstracted from the medical files. The outcome measure was “return to work in good health” at 2 years, a variable that combined patients'' occupational status, functional limitations and recurrences of work absence. Predictive models of 2-year outcome were developed with a recursive partitioning approach on a 40% random sample of our study subjects, then validated on the rest.

Results

The best predictive model included 7 baseline variables (patient''s recovery expectations, radiating pain, previous back surgery, pain intensity, frequent change of position because of back pain, irritability and bad temper, and difficulty sleeping) and was particularly efficient at identifying patients with no adverse occupational outcome (negative predictive value 78%– 94%).

Interpretation

A clinical prediction rule accurately identified a large proportion of workers with back pain consulting in a primary care setting who were at a low risk of an adverse occupational outcome.Since the 1950s, back pain has taken on the proportions of a veritable epidemic, counting now among the 5 most frequent reasons for visits to physicians'' offices in North America^1,2,3 and ranking sixth among health problems generating the highest direct medical costs.⁴ Because of its high incidence and associated expense, effective intervention for back pain has great potential for improving population health and for freeing up extensive societal resources.So-called red flags to identify pain that is specific (i.e., pain in the back originating from tumours, fractures, infections, cauda equina syndrome, visceral pain and systemic disease)⁵ account for about 3% of all cases of back pain.⁶ The overwhelming majority of back-pain problems are thus nonspecific. One important feature of nonspecific back pain among workers is that a small proportion of cases (< 10%) accounts for most of the costs (> 70%).^{7,8,9,10,11,12,13,14} This fact has led investigators to focus on the early identification of patients who are at higher risk of disability, so that specialized interventions can be provided earlier, whereas other patients can be expected to recover with conservative care.^{9,15,16,17,18,19,20,21,22,23,24,25} Although this goal has become much sought-after in back-pain research, most available studies in this area have 3 methodological problems:

• Potential predictors are often limited to administrative or clinical data, whereas it is clear that back pain is a multidimensional health problem.
• The outcome variable is most often a 1-point dichotomous measure of return to work, time off work or duration of compensation, although some authors have warned against the use of first return to work as a measure of recovery. Baldwin and colleagues,²⁶ for instance, point out that first return to work is frequently followed by recurrences of work absence.
• Most published prediction rules developed for back pain have not been successfully validated on any additional samples of patients.

Our study aimed to build a simple predictive tool that could be used by primary care physicians to identify workers with nonspecific back pain who are at higher risk of long-term adverse occupational outcomes, and then to validate this tool on a fresh sample of subjects.     

R2OBBIE-3D,a Fast Robotic High-Resolution System for Quantitative Phenotyping of Surface Geometry and Colour-Texture

While recent imaging techniques provide insights into biological processes from the molecular to the cellular scale, phenotypes at larger scales remain poorly amenable to quantitative analyses. For example, investigations of the biophysical mechanisms generating skin morphological complexity and diversity would greatly benefit from 3D geometry and colour-texture reconstructions. Here, we report on R²OBBIE-3D, an integrated system that combines a robotic arm, a high-resolution digital colour camera, an illumination basket of high-intensity light-emitting diodes and state-of-the-art 3D-reconstruction approaches. We demonstrate that R²OBBIE generates accurate 3D models of biological objects between 1 and 100 cm, makes multiview photometric stereo scanning possible in practical processing times, and enables the capture of colour-texture and geometric resolutions better than 15 μm without the use of magnifying lenses. R²OBBIE has the potential to greatly improve quantitative analyses of phenotypes in addition to providing multiple new applications in, e.g., biomedical science.