Hebbian learning for olfactory sequences.

The present paper explores the generality of the Hebb repetition effect to the learning of olfactory sequences in order to assess commonality of memory functioning across sensory modalities. Participants completed a serial-order reconstruction task comprising sequences of four olfactory stimuli. Following presentation of each sequence, participants were re-presented with the odours and were required to reconstruct their order of presentation. Surreptitious re-presentation of the repeated sequence occurred on every third trial. This order reconstruction task produced a serial-position function comprising recency only for both the non-repeated and the repeated sequences. Importantly, serial-order reconstruction for the repeated odour sequence produced improved performance for that sequence compared to the non-repeated sequences. This observation of a Hebb repetition effect for olfactory sequences further supports the proposition that sequential learning can operate amodally

Type 2 Diabetes Susceptibility Gene TCF7L2 and Its Role in β-Cell Function

Type 2 diabetes is associated with impaired insu-lin secretion. Both 1st- and 2nd-phase insulinsecretion are reduced, but the effect is particu-larly pronounced for the 1st phase. The pro-cesses culminating in impaired insulin secretion are not fully understood, but both genetic and environmental factors are thought to play a role. Over the past 2 years, genome-wide association scans have transformed the ge-netic landscape of type 2 diabetes susceptibility, with the current gene count close to 20 (1). A couple of common themes have emerged from these studies. First, the major-ity of the genes identified thus far seem to affect diabetes susceptibility through -cell dysfunction (2). Second, the risk alleles tend to be common in the population, but their effect on diabetes risk is relatively small (3,4). TCF7L2, the susceptibility gene with the largest effect on disease susceptibility discovered to date, was iden-tified pre–genome-wide association by Grant et al. i

‘Left behind places’: a geographical etymology

‘Left behind places’ has become the leitmotif of geographical inequalities since the 2008 crisis. Yet, the term’s origins, definition and implications are poorly specified and risk obscuring the differentiated problems and pathways of different kinds of areas. This paper explicates the geographical etymology and spatial imaginary of ‘left behind places’. It argues that the appellation and its spatial expression have modified how geographical inequalities are understood and addressed by recovering a more relational understanding of multiple ‘left behind’ conditions, widening the analytical frame beyond only economic concerns, and opening up interpretations of the ‘development’ of ‘left behind places’ and their predicaments and prospects. While renewing interest in fundamental urban and regional concerns, what needs to endure from the ascendance of the ‘left behind places’ label is the terminology and spatial imaginary of reducing geographical inequalities and enhancing social and spatial justice

No association between a candidate TCF7L2 variant and risk of breast or ovarian cancer

<p>Abstract</p> <p>Background</p> <p>TCF7L2 is a transcription factor involved in Wnt/β-catenin signaling which has a variant known to be associated with risk of Type 2 diabetes and, in some studies, with risk of certain cancers, including familial breast cancer. No studies of ovarian cancer have been reported to date.</p> <p>Methods</p> <p>Two clinic-based case-control studies at the Mayo Clinic were assessed including 798 breast cancer cases, 843 breast cancer controls, 391 ovarian cancer cases, and 458 ovarian cancer controls. Genotyping at <it>TCF7L2 </it>rs12255372 used a 5' endonuclease assay, and statistical analysis used logistic regression among participants as a whole and among <it>a priori</it>-defined subsets.</p> <p>Results</p> <p>No associations with risk of breast or ovarian cancer were observed (ordinal model, p = 0.62 and p = 0.75, respectively). In addition, no associations were observed among sub-groups defined by age, BMI, family history, stage, grade, histology, or tumor behavior.</p> <p>Conclusion</p> <p>Although the biology of the Wnt/β-catenin signaling pathway and prior association between rs12255372 and numerous phenotypes warranted examination of this <it>TCF7L2 </it>SNP, no compelling evidence for association with breast or ovarian cancer was observed.</p

The transcription factor 7-like 2 (TCF7L2) polymorphism may be associated with focal arteriolar narrowing in Caucasians with hypertension or without diabetes: the ARIC Study

<p>Abstract</p> <p>Background</p> <p>Transcription factor 7-like 2 (<it>TCF7L2</it>) has emerged as a consistently replicated susceptibility gene for type 2 diabetes, however, whether the <it>TCF7L2 </it>gene also has similar effects on the retinal microvasculature is less clear. We therefore aimed to investigate the association between the transcription factor 7-like 2 (<it>TCF7L2</it>) rs7903146 polymorphism and retinal microvascular phenotypes in the Atherosclerosis Risk in Communities (ARIC) Study (1993-1995).</p> <p>Methods</p> <p>This was a population-based, cross-sectional study of 10,320 middle-aged African American (n = 2,199) and Caucasian (n = 8,121) men and women selected from four United States communities to examine the association between <it>TCF7L2 </it>rs7903146 polymorphism and retinal microvascular signs (retinopathy, focal arteriolar narrowing, arteriovenous nicking, arteriolar and venular calibers). Photographs on one randomly selected eye were graded for presence of retinal microvascular signs and used to measure retinal vessel calibres.</p> <p>Results</p> <p>After adjusting for age, sex, study center, mean arterial blood pressure, total serum cholesterol, triglycerides, and other covariates, few associations of <it>TCF7L2 </it>rs7903146 and retinal microvascular signs were noted. <it>TCF7L2 </it>rs7903146 T risk allele was significantly associated with focal arteriolar narrowing in Caucasians with hypertension [odds ratio (OR)_{CT vs. CC}(95% CI) = 1.25 (1.09-1.44); OR_{TT vs. CC}= 1.56 (1.18-2.06); <it>P </it>= 0.002] and in Caucasians without diabetes [OR _{CT vs. CC}= 1.18 (1.06-1.32); OR _{TT vs. CC}= 1.40 (1.12, 1.75); <it>P </it>= 0.003]. No significant association of the <it>TCF7L2 </it>rs7903146 polymorphism and retinal vascular signs was noted among African American individuals.</p> <p>Conclusions</p> <p><it>TCF7L2 </it>rs7903146 is not consistently associated with retinal microvascular signs. However, we report an association between the <it>TCF7L2 </it>rs7903146 polymorphism and focal arteriolar narrowing in Caucasians with hypertension or without diabetes. Further research in other large, population-based studies is needed to replicate these findings.</p

Predicting Diabetes: Clinical, Biological, and Genetic Approaches: Data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR)

OBJECTIVE—To provide a simple clinical diabetes risk score and to identify characteristics that predict later diabetes using variables available in the clinic setting as well as biological variables and polymorphisms

Use of the analysis of the volatile faecal metabolome in screening for colorectal cancer

Diagnosis of colorectal cancer is an invasive and expensive colonoscopy, which is usually carried out after a positive screening test. Unfortunately, existing screening tests lack specificity and sensitivity, hence many unnecessary colonoscopies are performed. Here we report on a potential new screening test for colorectal cancer based on the analysis of volatile organic compounds (VOCs) in the headspace of faecal samples. Faecal samples were obtained from subjects who had a positive faecal occult blood sample (FOBT). Subjects subsequently had colonoscopies performed to classify them into low risk (non-cancer) and high risk (colorectal cancer) groups. Volatile organic compounds were analysed by selected ion flow tube mass spectrometry (SIFT-MS) and then data were analysed using both univariate and multivariate statistical methods. Ions most likely from hydrogen sulphide, dimethyl sulphide and dimethyl disulphide are statistically significantly higher in samples from high risk rather than low risk subjects. Results using multivariate methods show that the test gives a correct classification of 75% with 78% specificity and 72% sensitivity on FOBT positive samples, offering a potentially effective alternative to FOBT