Simultaneous relative cue reliance in speech-on-speech masking.

Modern hearing research has identified the ability of listeners to segregate simultaneous speech streams with a reliance on three major voice cues, fundamental frequency, level, and location. Few of these studies evaluated reliance for these cues presented simultaneously as occurs in nature, and fewer still considered the listeners' relative reliance on these cues owing to the cues' different units of measure. In the present study trial-by-trial analyses were used to isolate the listener's simultaneous reliance on the three voice cues, with the behavior of an ideal observer [Green and Swets (1966). (Wiley, New York), pp.151-178] serving as a comparison standard for evaluating relative reliance. Listeners heard on each trial a pair of randomly selected, simultaneous recordings of naturally spoken sentences. One of the recordings was always from the same talker, a distracter, and the other, with equal probability, was from one of two target talkers differing in the three voice cues. The listener's task was to identify the target talker. Among 33 clinically normal-hearing adults only one relied predominantly on voice level, the remaining were split between voice fundamental frequency and/or location. The results are discussed regarding their implications for the common practice in studies of using target-distracter level as a dependent measure of speech-on-speech masking.

Validation of obesity susceptibility loci identified by genome-wide association studies in early childhood in South Brazilian children.

BACKGROUND: The prevalence of childhood obesity has been dramatically increasing in developing countries as it has been reported for developed nations. Identifying susceptibility genes in early life could provide the foundations for interventions in lifestyle to prevent obese children to become obese adults. OBJECTIVES: The objective of this study was to evaluate the influence of genetic variants related to obesity identified by genome-wide association studies (MC4R, TMEM18, KCTD15, SH2B1, SEC16B, BDNF, NEGR1, OLFM4 and HOXB5 genes) on anthropometric and dietary phenotypes in two Brazilian cohorts followed-up since birth. METHODS: There were 745 children examined at birth, after 1 year and after 3.5 years of follow-up. Ten single nucleotide polymorphisms were genotyped. Anthropometric and dietary parameters were compared among genotypes. Children were classified as overweight when body mass index Z-score was >+1. RESULTS: Overweight prevalence was 30.7% at 3.5 years old. Significant associations were identified at 3.5 years old for TMEM18 rs6548238, NEGR1 rs2815752, BDNF rs10767664 and rs6265 (1 year old and 3.5 years old) with anthropometric phenotypes and at 3.5 years old for SEC16B rs10913469 with dietary parameters. CONCLUSIONS: Our results indicate that genetic variants in/near these genes contribute to obesity susceptibility in childhood and highlight the age at which they begin to affect obesity-related phenotypes.

Prediction of rectal lymph node metastasis by pelvic computed tomography measurement.

AIM: Rectal cancer staging represents a crucial step to select the best treatment for this tumour. Particularly after neo-adjuvant chemoradiotherapy (CRT), it may influence the surgical procedure (e.g. radical resection vs. local excision). The aim of this study was to determine the best lymph node size cut-off at computed tomography (CT) to predict nodal metastasis in rectal cancer patients with and without preoperative CRT. METHODS: A consecutive series of patients operated on for primary mid-low rectal adenocarcinoma, all staged with pelvic CT scan, were subdivided as follows: those who underwent surgery alone treatment without CRT (Group A) and those who underwent preoperative CRT (Group B). All CT scans were re-viewed by a single radiologist and, based on the lymph node size, findings were compared with pathologic lymph node status (pN). At each lymph node size cut-off value, the following were calculated: accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). The best cut-off value was defined as having an accuracy >or=70% with the highest NPV. RESULTS: The study population consisted of 162 patients: Group A (n=52) and Group B (n=110). Patients classified as pN-positive (n=45) had a higher number of and larger sized lymph nodes by CT scan than patients classified as pN-negative (n=117). The cut-off values with an accuracy >or=70% ranged between 7 and 11 mm in Group A and between 9 and 14 mm in Group B. The cut-off with the best NPV was 7 mm for Group A and 10mm for Group B. CONCLUSIONS: Acknowledging the limitations of the dimensional criterion, lymph node size cut-off values found in our study may be useful for planning rectal cancer treatment using CT scan.

Estrogen receptor 2 and progesterone receptor gene polymorphisms and lipid levels in women with different hormonal status.

Sex steroid hormones have multiple effects on lipid metabolism. We investigated the association between two common single nucleotide polymorphisms of the estrogen receptor 2 gene (ESR2), 1082G>A and 1730A>G, and PROGINS polymorphism of the progesterone receptor gene (PGR) with lipoprotein levels in a cross-sectional study with 472 women of European descent. The women were classified into three subgroups according to hormonal status, premenopausal women (n=187; mean age=34+/-9.7 years), postmenopausal women exposed to hormone replacement therapy (HRT) (n=118; 56+/-6.7 years) and postmenopausal women unexposed to HRT (n=167; 58+/-9.8 years). The premenopausal and postmenopausal women exposed to HRT, both carriers of G/A genotype, exhibited LDL-C (P=0.027 and 0.001, respectively) and T-chol levels (P=0.035 and 0.001, respectively) lower than carriers of G/G genotype. This association was not observed in postmenopausal women unexposed to HRT. These results suggest that ESR2 1082G>A genotype may influence LDL-C levels in women with abundant estrogen levels, due to either endogenous or exogenous sources.

Estrogen-metabolizing gene polymorphisms and lipid levels in women with different hormonal status.

Endogenous and exogenous sex steroid hormones have multiple effects on lipid and lipoprotein metabolism. It is also known that estrogen has antiatherogenic actions, therefore we considered examining whether there was any association between polymorphisms in estrogen-metabolizing genes and lipid levels in women. We investigated the association between variants in genes related to estrogen biosynthesis (CYP19-TTTA(n)) and estrogen catabolism (CYP1A1*2A, CYP1A1*2C, CYP1A2-Asn516Asn, CYP3A4*1B, and COMT-Val158Met) with serum lipid levels in a cross-sectional study with 472 Brazilian women of European descent. They were divided into three subgroups according to their hormonal status: premenopausal women (n=187), postmenopausal women exposed to hormonal replacement therapy (HRT) (n=118), and postmenopausal women unexposed to HRT (n=167). The postmenopausal women receiving HRT who were carriers of the CYP3A4*1B variant showed lower low-density lipoprotein cholesterol levels than wild-type homozygotes. Premenopausal women homozygous for the CYP1A1*2C allele had higher high-density lipoprotein cholesterol levels than heterozygotes. While the CYP1A1*2C variant probably has a higher catalytic activity, the functional implications of the CYP3A4 polymorphism are still uncertain. These data are the first attempt to associate estrogen metabolism genes to lipid levels in women.