1,423 research outputs found
Is the blue tit falling into an ecological trap in Argentine ant invaded forests?
Because insectivorous birds must evaluate
resources for reproduction before settling into a breed-
ing habitat, they can fall into an ecological trap if
informative cues about habitat suitability become
dissociated from their actual yield. Given their potential
to affect ecological networks, invasive ant species are
potential candidates for triggering such ecological traps.
We combined observational and experimental
approaches to examine whether the variation in food
supply for nestlings resulting from the invasion of the
Argentine ant, Linepithema humile, had any influence
on the breeding ecology of the blue tit, Cyanistes
caeruleus, an insectivorous foliage-gleaner. We inves-
tigated the effects of the ant invasion on breeding
performance (nesting success, clutch size, brood size
and breeding success) and offspring quality (body size
and condition, developmental stability and plumage
colour) in replicated Mediterranean forest areas over a
period of 3 years. There was no evidence that the
reduction in caterpillar availability resulting from the
invasion had a concurrent negative effect on the blue tit’s ability to successfully rear nestlings in optimal conditions, at least as measured here. Although the raw figures suggest an increased level of nutritional stress in
blue tits breeding in invaded forests, the data analyses
showed no significant alterations in terms of productiv-
ity or offspring fitness. The reproductive performance of
the blue tit has been shown to be remarkably resilient to
the Argentine ant-mediated food shortage, either
because the prey reduction following the invasion did
not reach a critical threshold or because of compensa-
tory activity by the progenitors. We cannot conclusively
reject an ecological trap triggered by the ant invasion on
blue tits, since neither fledgling recruitment nor the
prospective survival of parents were assessed. Even
though we could not confirm short-term consequences
of the Argentine ant invasion on blue tit reproductive fitness, the long-term bottom-up effects of the invasion remain unknown and should not be ruled outPeer reviewe
Reference standardization and triglyceride interference of a new homogeneous HDL-cholesterol assay compared with a former chemical precipitation assay
A homogeneous HDL-c assay (HDL-H), which uses polyethylene glycol-modified
enzymes and sulfated alpha-cyclodextrin, was assessed for precision,
accuracy, and cholesterol and triglyceride interference. In addition, its
analytical performance was compared with that of a phosphotungstic acid
(PTA)/MgCl2 precipitation method (HDL-P). Within-run CVs were < or =
1.87%; total CVs were < or = 3.08%. Accuracy was evaluated in fresh
normotriglyceridemic sera using the Designated Comparison Method (HDL-H =
1.037 Designated Comparison Method + 4 mg/L; n = 63) and in moderately
hypertriglyceridemic sera by using the Reference Method (HDL-H = 1.068
Reference Method - 17 mg/L; n = 41). Mean biases were 4.5% and 2.2%,
respectively. In hypertriglyceridemic sera (n = 85), HDL-H concentrations
were increasingly positively biased with increasing triglyceride
concentrations. The method comparison between HDL-H and HDL-P yielded the
following equation: HDL-H = 1.037 HDL-P + 15 mg/L; n = 478. We conclude
that HDL-H amply meets the 1998 NCEP recommendations for total error; its
precision is superior compared with that of HDL-P, and its average bias
remains below +/-5% as long as triglyceride concentrations are < or = 10
g/L and in case of moderate hypercholesterolemia
2,000 Families: identifying the research potential of an origins-of-migration study
Despite recent advances, critical areas in the analysis of European migration remain underdeveloped. We have only a limited understanding of the consequences of migration for migrants and their descendants, relative to staying behind; and our insights of intergenerational transmission is limited to two generations of those living in the destination countries. These limitations stem from a paucity of studies that incorporate comparison with non-migrants – and return migrants – in countries of origin and which trace processes of intergenerational transmission over multiple generations. This paper outlines the theoretical and methodological discussions in the field, design and data of the 2,000 Families study. The study comprises almost 50,000 members of migrant and non-migrant Turkish families across three family generations, living in Turkey and eight European countries. We provide indicative findings from the study, framed within a theoretical perspective of “dissimilation” from origins, and reflect on its potential for future migration research
Comparison of genotyping using pooled DNA samples (allelotyping) and individual genotyping using the affymetrix genome-wide human SNP array 6.0
Background: Genome-wide association studies (GWAS) using array-based genotyping technology are widely used to identify genetic loci associated with complex diseases or other phenotypes. The costs of GWAS projects based on individual genotyping are still comparatively high and increase with the size of study populations. Genotyping using pooled DNA samples, as also being referred as to allelotyping approach, offers an alternative at affordable costs. In the
Do Genetic Markers of Inflammation Modify the Relationship between Periodontitis and Nonalcoholic Fatty Liver Disease? Findings from the SHIP Study
An association between periodontitis and nonalcoholic fatty liver disease (NAFLD) has been reported by experimental animal and epidemiologic studies. This study investigated whether circulating levels of serum C-reactive protein (CRP) and a weighted genetic CRP score representing markers of inflammatory burden modify the association between periodontitis and NAFLD. Data came from 2,481 participants of the Study of Health in Pomerania who attended baseline examination that occurred between 1997 and 2001. Periodontitis was defined as the percentage of sites (0%, 3 mg/L. Periodontitis was positively associated with higher prevalence odds of NAFLD, and this relationship was modified by serum CRP levels
Cloning and quantitative determination of the human Ca 2+ /calmodulin-dependent protein kinase II (CaMK II) isoforms in human beta cells
Synthesis of new DPP-4 inhibitors based on a novel tricyclic scaffold
A novel molecular scaffold has been synthesized and its synthesis and incorporation into new analogues of biologically active molecules will be discussed. A comparison of the inhibitory activity of these compounds to the known type-2 diabetes compound (sitagliptin) against dipeptidyl peptidase-4 (DPP-4) will be shown
Genome-Wide Association Study with Targeted and Non-targeted NMR Metabolomics Identifies 15 Novel Loci of Urinary Human Metabolic Individuality
Genome-wide association studies with metabolic traits (mGWAS) uncovered many genetic variants that influence human metabolism. These genetically influenced metabotypes (GIMs) contribute to our metabolic individuality, our capacity to respond to environmental challenges, and our susceptibility to specific diseases. While metabolic homeostasis in blood is a well investigated topic in large mGWAS with over 150 known loci, metabolic detoxification through urinary excretion has only been addressed by few small mGWAS with only 11 associated loci so far. Here we report the largest mGWAS to date, combining targeted and non-targeted 1H NMR analysis of urine samples from 3,861 participants of the SHIP-0 cohort and 1,691 subjects of the KORA F4 cohort. We identified and replicated 22 loci with significant associations with urinary traits, 15 of which are new (HIBCH, CPS1, AGXT, XYLB, TKT, ETNPPL, SLC6A19, DMGDH, SLC36A2, GLDC, SLC6A13, ACSM3, SLC5A11, PNMT, SLC13A3). Two-thirds of the urinary loci also have a metabolite association in blood. For all but one of the 6 loci where significant associations target the same metabolite in blood and urine, the genetic effects have the same direction in both fluids. In contrast, for the SLC5A11 locus, we found increased levels of myo-inositol in urine whereas mGWAS in blood reported decreased levels for the same genetic variant. This might indicate less effective re-absorption of myo-inositol in the kidneys of carriers. In summary, our study more than doubles the number of known loci that influence urinary phenotypes. It thus allows novel insights into the relationship between blood homeostasis and its regulation through excretion. The newly discovered loci also include variants previously linked to chronic kidney disease (CPS1, SLC6A13), pulmonary hypertension (CPS1), and ischemic stroke (XYLB). By establishing connections from gene to disease via metabolic traits our results provide novel hypotheses about molecular mechanisms involved in the etiology of diseases
Marked coronary endothelial dysfunction in patients with low high-density lipoprotein and elevated C-reactive protein
Accelerating Drug Development Using Biomarkers: A Case Study with Sitagliptin, A Novel DPP4 Inhibitor for Type 2 Diabetes
The leveraged use of biomarkers presents an opportunity in understanding target engagement and disease impact while accelerating drug development. For effective integration in drug development, it is essential for biomarkers to aid in the elucidation of mechanisms of action and disease progression. The recent years have witnessed significant progress in biomarker selection, validation, and qualification, while enabling surrogate and clinical endpoint qualification and application. Biomarkers play a central role in target validation for novel mechanisms. They also play a central role in the learning/confirming paradigm, particularly when utilized in concert with pharmacokinetic/pharmacodynamic modeling. Clearly, these attributes make biomarker integration attractive for scientific and regulatory applications to new drug development. In this review, applications of proximal, or target engagement, and distal, or disease-related, biomarkers are highlighted using the example of the recent development of sitagliptin for type 2 diabetes, wherein elucidation of target engagement and disease-related biomarkers significantly accelerated sitagliptin drug development. Importantly, use of biomarkers as tools facilitated design of clinical efficacy trials while streamlining dose focus and optimization, the net impact of which reduced overall cycle time to filing as compared to the industry average
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