Liver-specific knockdown of JNK1 up-regulates proliferator-activated receptor gamma coactivator 1 beta and increases plasma triglyceride despite reduced glucose and insulin levels in diet-induced obese mice

The c-Jun N-terminal kinases (JNKs) have been implicated in the development of insulin resistance, diabetes, and obesity. Genetic disruption of JNK1, but not JNK2, improves insulin sensitivity in diet-induced obese (DIO) mice. We applied RNA interference to investigate the specific role of hepatic JNK1 in contributing to insulin resistance in DIO mice. Adenovirus-mediated delivery of JNK1 short-hairpin RNA (Ad-shJNK1) resulted in almost complete knockdown of hepatic JNK1 protein without affecting JNK1 protein in other tissues. Liver-specific knockdown of JNK1 resulted in significant reductions in circulating insulin and glucose levels, by 57 and 16%, respectively. At the molecular level, JNK1 knockdown mice had sustained and significant increase of hepatic Akt phosphorylation. Furthermore, knockdown of JNK1 enhanced insulin signaling in vitro. Unexpectedly, plasma triglyceride levels were robustly elevated upon hepatic JNK1 knockdown. Concomitantly, expression of proliferator-activated receptor gamma coactivator 1 beta, glucokinase, and microsomal triacylglycerol transfer protein was increased. Further gene expression analysis demonstrated that knockdown of JNK1 up-regulates the hepatic expression of clusters of genes in glycolysis and several genes in triglyceride synthesis pathways. Our results demonstrate that liver-specific knockdown of JNK1 lowers circulating glucose and insulin levels but increases triglyceride levels in DIO mice.     

Synthesis and evaluation of urea-based indazoles as melanin-concentrating hormone receptor 1 antagonists for the treatment of obesity

A series of urea-based N-1-(2-aminoethyl)-indazoles was synthesized and evaluated for melanin-concentrating hormone receptor 1 (MCHr1) antagonism in both binding and functional assays. Several compounds that acted as MCHr1 antagonists were identified, and optimization afforded a compound with excellent binding affinity, good functional potency, and oral efficacy in a chronic model for weight loss in diet-induced obese mice.     

A cartilage growth mixture model with collagen remodeling: validation protocols

A cartilage growth mixture (CGM) model is proposed to address limitations of a model used in a previous study. New stress constitutive equations for the solid matrix are derived and collagen (COL) remodeling is incorporated into the CGM model by allowing the intrinsic COL material constants to evolve during growth. An analytical validation protocol based on experimental data from a recent in vitro growth study is developed. Available data included measurements of tissue volume, biochemical composition, and tensile modulus for bovine calf articular cartilage (AC) explants harvested at three depths and incubated for 13 days in 20% fetal borine serum (FBS) and 20% FBS+beta-aminopropionitrile. The proposed CGM model can match tissue biochemical content and volume exactly while predicting theoretical values of tensile moduli that do not significantly differ from experimental values. Also, theoretical values of a scalar COL remodeling factor are positively correlated with COL cross-link content, and mass growth functions are positively correlated with cell density. The results suggest that the CGM model may help us to guide in vitro growth protocols for AC tissue via the a priori prediction of geometric and biomechanical properties.     

Spatio‐temporal Genetic Structure of a Tropical Bee Species Suggests High Dispersal Over a Fragmented Landscape

Habitat destruction threatens biodiversity by reducing the amount of available resources and connectivity among geographic areas. For organisms living in fragmented habitats, population persistence may depend on dispersal, which maintains gene flow among fragments and can prevent inbreeding within them. It is centrally important to understand patterns of dispersal for bees living in fragmented areas given the importance of pollination systems and recently documented declines in bee populations. We used population and landscape genetic techniques to characterize patterns of dispersal over a large fragmented area in southern Costa Rica for the orchid bee species Euglossa championi. First, we estimated levels of genetic differentiation among forest fragments as ?_PT, an analog to the traditional summary statistic F_ST, as well as two statistics that may more adequately represent levels of differentiation, G’_ST and D_est. Second, we used a Bayesian approach to determine the number and composition of genetic groups in our sample. Third we investigated how genetic differentiation changes with distance. Fourth, we determined the extent to which deforested areas restrict dispersal. Finally, we estimated the extent to which there were temporal differences in allele frequencies within the same forest fragments. Within years we found low levels of differentiation even over 80 km, and no effect of land use type on level of genetic differentiation. However, we found significant genetic differentiation between years. Taken together our results suggest that there are high levels of gene flow over this geographic area, and that individuals show low site fidelity over time.     

Improving the Efficiency of Abdominal Aortic Aneurysm Wall Stress Computations

An abdominal aortic aneurysm is a pathological dilation of the abdominal aorta, which carries a high mortality rate if ruptured. The most commonly used surrogate marker of rupture risk is the maximal transverse diameter of the aneurysm. More recent studies suggest that wall stress from models of patient-specific aneurysm geometries extracted, for instance, from computed tomography images may be a more accurate predictor of rupture risk and an important factor in AAA size progression. However, quantification of wall stress is typically computationally intensive and time-consuming, mainly due to the nonlinear mechanical behavior of the abdominal aortic aneurysm walls. These difficulties have limited the potential of computational models in clinical practice. To facilitate computation of wall stresses, we propose to use a linear approach that ensures equilibrium of wall stresses in the aneurysms. This proposed linear model approach is easy to implement and eliminates the burden of nonlinear computations. To assess the accuracy of our proposed approach to compute wall stresses, results from idealized and patient-specific model simulations were compared to those obtained using conventional approaches and to those of a hypothetical, reference abdominal aortic aneurysm model. For the reference model, wall mechanical properties and the initial unloaded and unstressed configuration were assumed to be known, and the resulting wall stresses were used as reference for comparison. Our proposed linear approach accurately approximates wall stresses for varying model geometries and wall material properties. Our findings suggest that the proposed linear approach could be used as an effective, efficient, easy-to-use clinical tool to estimate patient-specific wall stresses.     

The relationship between postmating reproductive isolation and reinforcement in Phlox

The process of speciation involves the accumulation of reproductive isolation (RI) between diverging lineages. Selection can favor increased RI via the process of reinforcement, whereby costs to hybridization impose selection for increased prezygotic RI. Reinforcement results in phenotypic divergence within at least one taxon, as a result of costly hybridization between sympatric taxa. The strength of selection driving reinforcement is determined by the cost of hybridization and the frequency of hybridization. We investigated the cost of hybridization by quantifying postmating RI barriers among Phlox species that comprise one of the best‐studied cases of reinforcement. We determined if the strength of RI differs among lineages that have and have not undergone reinforcement, how much variability there is within species in RI, and whether RI is associated with phylogenetic relatedness. We found high RI for the species that underwent phenotypic divergence due to reinforcement; however, RI was also high between other species pairs. We found extensive variability in RI among individuals within species, and no evidence that the strength of RI was associated with phylogenetic relatedness. We suggest that phenotypic divergence due to reinforcement is associated with the frequency of hybridization and introgression, and not the cost of hybridization in this clade.     

CRP velocity and short-term mortality in ST segment elevation myocardial infarction

Context: There is a known association between C-reactive protein (CRP) levels and adverse outcomes in patients presenting with ST-elevation myocardial infarction (STEMI). The optimal time frame to measure CRP for risk stratification is not known.

Objective: The aim of the current study was to evaluate the relation between the change in CRP velocity (CRPv) and 30-d mortality among STEMI patients.

Material and methods: We included consecutive patients with a diagnosis of STEMI who presented to Tel-Aviv Medical Center between 2008 and 2014 and had their CRP measured with a wide range assay (wr-CRP) at least twice during the 24?h after admission. CRPv was defined as the change in wr-CRP concentration (mg/l) divided by the change in time (in hours) between the two measurements.

Results: The study population comprised of 492 patients, mean age was 62?±?14, 80% were male. CRPv was significantly higher among patients who died within 30 d of admission (1.42?mg/l versus 0.18?mg/l, p?<?0.001). In a multivariate regression model adjusted to multiple confounders, CRPv was independently associated with 30-d mortality (OR 1.39, 95% CI: 1.20–1.62, p?<?0.001).

Conclusion: CRPv might be an independent and rapidly measurable biomarker for short-term mortality in patients presenting with STEMI.     

Dispersal of the orchid bee <Emphasis Type="Italic">Euglossa imperialis</Emphasis> over degraded habitat and intact forest

Fragmentation of habitat can decrease resource availability and restrict movement among geographic areas. Persistence in fragmented landscapes depends on the maintenance of connectivity among populations, without which genetic diversity may decrease and lead to population declines. Bees are particularly vulnerable to the negative effects of low genetic diversity so it is important to understand patterns of dispersal for native bees living in fragmented areas. I used population genetic techniques to characterize patterns of genetic diversity and dispersal for the orchid bee Euglossa imperialis within and among forest fragments in southern Costa Rica, in which the furthest two fragments were 226 km from one another. In addition, I compared results of population genetic analyses conducted with all bees sampled, and results from analyses conducted with a reduced dataset containing only one individual per full sibling family from each site. For both datasets genetic diversity was low within forest fragments, with expected heterozygosity averaging 0.28 for the full dataset and 0.29 for the dataset containing only one full sibling per site. I found no evidence that deforested areas restricted dispersal; pairwise estimates of genetic differentiation \(F_{\text{ST}}^{\prime }\) among forest fragments averaged 0.01 for the full dataset, and 0 for the dataset containing only one full sibling per site. Genetic distance among sites within forest fragments was significantly correlated to geographic distance for the full dataset, but there was no significant correlation for the dataset that contained only one individual from each full sibling family. This suggests that family structure can drive results of analyses of genetic structure, although reductions in sample sizes following removal of full siblings may have reduced power to detect genetic structure. Despite no evidence for restricted dispersal, the low genetic diversity found suggests that E. imperialis may be an important candidate for future conservation monitoring.     

Effect of glutaraldehyde fixation on the frictional response of immature bovine articular cartilage explants

This study examined functional properties and biocompatibility of glutaraldehyde-fixed bovine articular cartilage over several weeks of incubation at body temperature to investigate its potential use as a resurfacing material in joint arthroplasty. In the first experiment, treated cartilage disks were fixed using 0.02, 0.20 and 0.60% glutaraldehyde for 24 h then incubated, along with an untreated control group, in saline for up to 28 d at 37 °C. Both the equilibrium compressive and tensile moduli increased nearly twofold in treated samples compared to day 0 control, and remained at that level from day 1 to 28; the equilibrium friction coefficient against glass rose nearly twofold immediately after fixation (day 1) but returned to control values after day 7. Live explants co-cultured with fixed explants showed no quantitative difference in cell viability over 28 d. In general, no significant differences were observed between 0.20 and 0.60% groups, so 0.20% was deemed sufficient for complete fixation. In the second experiment, cartilage-on-cartilage frictional measurements were performed under a migrating contact configuration. In the treated group, one explant was fixed using 0.20% glutaraldehyde while the apposing explant was left untreated; in the control group both explants were left untreated. From day 1 to 28, the treated group exhibited either no significant difference or slightly lower friction coefficient than the untreated group. These results suggest that a properly titrated glutaraldehyde treatment can reproduce the desired functional properties of native articular cartilage and maintain these properties for at least 28 d at body temperature.     

Identification and characterization of amino-piperidinequinolones and quinazolinones as MCHr1 antagonists

Several potent, functionally active MCHr1 antagonists derived from quinolin-2(1H)-ones and quinazoline-2(1H)-ones have been synthesized and evaluated. Pyridylmethyl substitution at the quinolone 1-position results in derivatives with low-nM binding potency and good selectivity with respect to hERG binding.