Poor early growth and high salt intake in Indian infants

The influence of feeding patterns on the growth of infants and how salt is included in the diet are unknown in the area of West Bengal, India. A cross-sectional study was carried on 517 infants (median age 6.5 months). Negative Z-scores were observed for all anthropometric parameters. About 72.7% of infants aged 0–6 months received exclusive breastfeeding. In the 6–12-month-old group (n?=?235), 91.5% had salt added to foods. In a regression model adjusted for age, a low salt diet resulted a significant factor in increasing weight-for-length and BMI for age z-scores, with increments equal to 0.637 SD (p?=?0.037) and 0.650 SD (p?=?0.036), respectively.

In West Bengal infants showing poor growth, breastfeeding was associated with better anthropometric indexes, but early in life salt is added to their diet. Early life low weight coupled with high salt intake may be a risk factor for arterial hypertension in Indian children.     

Preventable fatal injury during rally race: a multidisciplinary approach

International Journal of Legal Medicine - The motor vehicle crash (MVC) constitutes an important challenge for forensic pathology in order to identify the manner and cause of death. Our study...     

Three differentiation states risk-stratify bladder cancer into distinct subtypes

Current clinical judgment in bladder cancer (BC) relies primarily on pathological stage and grade. We investigated whether a molecular classification of tumor cell differentiation, based on a developmental biology approach, can provide additional prognostic information. Exploiting large preexisting gene-expression databases, we developed a biologically supervised computational model to predict markers that correspond with BC differentiation. To provide mechanistic insight, we assessed relative tumorigenicity and differentiation potential via xenotransplantation. We then correlated the prognostic utility of the identified markers to outcomes within gene expression and formalin-fixed paraffin-embedded (FFPE) tissue datasets. Our data indicate that BC can be subclassified into three subtypes, on the basis of their differentiation states: basal, intermediate, and differentiated, where only the most primitive tumor cell subpopulation within each subtype is capable of generating xenograft tumors and recapitulating downstream populations. We found that keratin 14 (KRT14) marks the most primitive differentiation state that precedes KRT5 and KRT20 expression. Furthermore, KRT14 expression is consistently associated with worse prognosis in both univariate and multivariate analyses. We identify here three distinct BC subtypes on the basis of their differentiation states, each harboring a unique tumor-initiating population.     

Prediction of incident type 2 diabetes mellitus based on a twenty-year follow-up of the Ventimiglia heart study

A novel algorithm to predict incident type 2 diabetes mellitus (iT2DM) is presented considering data from a 20-year prospective study in a Southern Italy population. Eight hundred and fifty-eight out of 1,351 subjects (24?C85?years range of age) were selected. Incident type 2 diabetes was diagnosed in 103 patients in a 20-year follow-up. The Finnish Diabetes Risk Score (FINDRISC) and the Framingham Offspring Study simple clinical model (FOS) have been used as reference algorithms. Two custom algorithms have been created using Cox parametric hazard models followed by PROBIT analyses: the first one (VHSRISK) includes all the study subjects and the second one (VHS95RISK) evaluates separately subjects with baseline fasting blood glucose (FBG) above/below 5.2?mmol/L (95?mg/dL). The 44 iT2DM cases below 5.2?mmol/L of baseline FBG were predicted by high LDL cholesterol, metabolic syndrome (ATPIII criteria), BMI?>?30?kg/m², and high factor VII activity. The 59 cases above the FBG threshold were predicted by FBG classes, hypertension, and age. ROC areas for iT2DM prediction were: FINDRISC?=?0.759, FOS?=?0.762, VHSRISK?=?0.789, and VHS95RISK?=?0.803. In a Mediterranean population, the use of a custom generated algorithm evaluating separately low/high FBG subjects improves the prediction of iT2DM in subjects classified at lower risk by common estimation algorithms.     

Current Concept in the Pathophysiology of Hepatitis Delta Infection

Hepatitis delta virus (HDV) is a unique human virus, showing similarities with plant viroids. Although impressive knowledge on virus structure and replication has been achieved, several questions like HBV/HDV interaction and post translational modifications of HD antigens remain to be answered. Potential targets for therapeutic strategies are now emerging. To date, eight major genotypes of the HDV have been identified. The HDV-1 is the prevailing genotype in Europe, but migration phenomena may change this profile. Immune response is likely to play an important role in the pathogenesis of HDV-induced liver disease; few data are available on T cells response either during infection and therapy. HDV usually suppresses HBV replication; recent studies show as viral dominances may change over time. Delta infection leads to severe liver disease, with different patterns of progression to liver fibrosis and decompensation. Beside the association between HDV/HBV and HCC is demonstrated a risk specifically related to HDV remains controversial.     

Case-control association study of 36 single-nucleotide polymorphisms within 10 candidate genes for major depression and bipolar disorder

In this study we investigated 36 single nucleotide polymorphisms within 10 genes previously associated with major depression and bipolar disorder, as well as with the response to their treatment (ABCB1, ABCB4, TAP2, CLOCK, CPLX1, CPLX2, SYN2, NRG1, 5HTR1A and GPRIN2). No association with mood disorders and clinical outcomes was observed.