Gender identity and breast cancer campaigns

Concerning itself with understanding how marketing methods and tools can be of benefit to healthcare professionals, health marketing is an area of research that has grown substantially in recent years. Of much interest to the sector is whether awareness campaigns are effective in increasing the public’s perceived vulnerability to any given disease

Brands in the Labor Market: How Vertical and Horizontal Brand Differentiation Impact Pay and Profits Through Employee-Brand Matching

The primary focus of brand equity research has been on how brand knowledge creates value for firms through customer behavior in product markets. Using archival data and five experiments, this article tests a framework that outlines the unique role brands play in the labor market. The framework distinguishes between vertical and horizontal differentiation and shows that vertical brand differentiation is associated with lower pay, whereas horizontal brand differentiation is associated with higher pay. Employees are also vertically and horizontally differentiated and firms high in horizontal brand differentiation pay more for employees who match their brands differentiating characteristics (i.e., brand-relevant complementarities). Results show that these brand-pay relationships have important downstream effects on employee behavior and, consequently, on firm profits. Specifically, leveraging vertical brand differentiation to lower pay represents a false economy because profits are attenuated by negative effects on employee productivity and retention. In contrast, when managers at firms high on horizontal brand differentiation pay more, profits increase via the same mediating employee behaviors. Six firm strategies and investments that influence firm bargaining power in the employee-brand matching process are found to moderate the brand-pay relationship and downstream effects on profits

Effects of Essential Oils Combination on Sporulation of Turkey (Meleagris gallopavo) Eimeria Oocysts

Avian coccidiosis is the most important parasitic disease in poultry production, which inflicts numerous losses to the industry. The extensive use of anticoccidial drugs leads to parasite resistance and drug residue in poultry products. In the present study, we aimed to investigate the effects of three famous essential oils (EOs) and their combination on inactivation of mixed oocysts of Eimeria adenoides, Eimeria dispersa, Eimeria meleagrimitis, and Eimeria meleagridis. The EOs of Thymus vulgaris, Artemisia sieberi, and Mentha pulegium were prepared.  After inoculation of each turkey with 7×105 sporulated oocysts, fresh unsporulated oocysts were harvested from their feces. To evaluate the sporulation inhibition effect, 5×104 oocysts were used in each treatment. Each EO was used in increasing concentrations. Half maximal inhibitory concentration (IC50) was determined for each EO and they were blended in pairs based on IC50 line. Our results showed that the IC50 values for mentha, artemisia, and thyme were 22.92, 40.5, and 53.42 mg/ml, respectively. According to our results, artemisia and thyme combination has a synergistic effect, whereas the combination of a high concentration of mentha with a low concentration of thyme had an antagonistic effect. During this study, no interactions were observed between mentha and artemisia

Type 1 diabetes, diabetic nephropathy, and pregnancy: a systematic review and meta-study

BACKGROUND: In the last decade, significant improvements have been achieved in maternal-fetal and diabetic care which make pregnancy possible in an increasing number of type 1 diabetic women with end-organ damage. Optimal counseling is important to make the advancements available to the relevant patients and to ensure the safety of mother and child. A systematic review will help to provide a survey of the available methods and to promote optimal counseling. OBJECTIVES: To review the literature on diabetic nephropathy and pregnancy in type 1 diabetes. METHODS: Medline, Embase, and the Cochrane Library were scanned in November 2012 (MESH, Emtree, and free terms on pregnancy and diabetic nephropathy). Studies were selected that report on pregnancy outcomes in type 1 diabetic patients with diabetic nephropathy in 1980-2012 (i.e. since the detection of microalbuminuria). Case reports with less than 5 cases and reports on kidney grafts were excluded. Paper selection and data extraction were performed in duplicate and matched for consistency. As the relevant reports were highly heterogeneous, we decided to perform a narrative review, with discussions oriented towards the period of publication. RESULTS: Of the 1058 references considered, 34 fulfilled the selection criteria, and one was added from reference lists. The number of cases considered in the reports, which generally involved single-center studies, ranged from 5 to 311. The following issues were significant: (i) the evidence is scattered over many reports of differing format and involving small series (only 2 included over 100 patients), (ii) definitions are non-homogeneous, (iii) risks for pregnancy-related adverse events are increased (preterm delivery, caesarean section, perinatal death, and stillbirth) and do not substantially change over time, except for stillbirth (from over 10% to about 5%), (iv) the increase in risks with nephropathy progression needs confirmation in large homogeneous series, (v) the newly reported increase in malformations in diabetic nephropathy underlines the need for further studies. CONCLUSIONS: The heterogeneous evidence from studies on diabetic nephropathy in pregnancy emphasizes the need for further perspective studies on this issue

Annexin A1 regulates EGFR activity and alters EGFR-containing tumour-derived exosomes in head and neck cancers.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is the 6th most common cancer with approximately half a million cases diagnosed each year worldwide. HNSCC has a poor survival rate which has not improved for over 30 years. The molecular pathogenesis of HNSCCs remains largely unresolved; there is high prevalence of p53 mutations and EGFR overexpression; however, the contribution of these molecular changes to disease development and/or progression remains unknown. We have recently identified microRNA miR-196a to be highly overexpressed in HNSCC with poor prognosis. Oncogenic miR-196a directly targets Annexin A1 (ANXA1). Although increased ANXA1 expression levels have been associated with breast cancer development, its role in HNSCC is debatable and its functional contribution to HNSCC development remains unclear. METHODS: ANXA1 mRNA and protein expression levels were determined by RNA Seq analysis and immunohistochemistry, respectively. Gain- and loss-of-function studies were performed to analyse the effects of ANXA1 modulation on cell proliferation, mechanism of activation of EGFR signalling as well as on exosome production and exosomal phospho-EGFR. RESULTS: ANXA1 was found to be downregulated in head and neck cancer tissues, both at mRNA and protein level. Its anti-proliferative effects were mediated through the intracellular form of the protein. Importantly, ANXA1 downregulation resulted in increased phosphorylation and activity of EGFR and its downstream PI3K-AKT signalling. Additionally, ANXA1 modulation affected exosome production and influenced the release of exosomal phospho-EGFR. CONCLUSIONS: ANXA1 acts as a tumour suppressor in HNSCC. It is involved in the regulation of EGFR activity and exosomal phospho-EGFR release and could be an important prognostic biomarker

Immunocluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data

High-dimensional cytometry is an innovative tool for immune monitoring in health and disease, and it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of large multiparametric datasets usually requires specialist computational knowledge. Here, we describe ImmunoCluster (https://github.com/ kordastilab/ImmunoCluster), an R package for immune profiling cellular heterogeneity in highdimensional liquid and imaging mass cytometry, and flow cytometry data, designed to facilitate computational analysis by a nonspecialist. The analysis framework implemented within ImmunoCluster is readily scalable to millions of cells and provides a variety of visualization and analytical approaches, as well as a rich array of plotting tools that can be tailored to users’ needs. The protocol consists of three core computational stages: (1) data import and quality control; (2) dimensionality reduction and unsupervised clustering; and (3) annotation and differential testing, all contained within an R-based open-source framework

ImmunoCluster provides a computational framework for the non-specialist to profile high- dimensional cytometry data

High dimensional cytometry is an innovative tool for immune monitoring in health and disease, it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of large multiparametric datasets usually requires specialist computational knowledge. Here we describe ImmunoCluster (https://github.com/kordastilab/ImmunoCluster) an R package for immune profiling cellular heterogeneity in high dimensional liquid and imaging mass cytometry, and flow cytometry data, designed to facilitate computational analysis by a non-specialist. The analysis framework implemented within ImmunoCluster is readily scalable to millions of cells and provides a variety of visualization and analytical approaches, as well as a rich array of plotting tools that can be tailored to users' needs. The protocol consists of three core computational stages: 1, data import and quality control; 2, dimensionality reduction and unsupervised clustering; and 3, annotation and differential testing, all contained within an R-based open-source framework

Human Papilloma Virus prevalence and type-specific relative contribution in invasive cervical cancer specimens from Italy

Background: Cervical cancer represents an important global public health problem. It is the 2(nd) most common cancer among women worldwide. Human Papillomavirus (HPV) infection is now well-established as a necessary cause of invasive cervical cancer (ICC) development. Only a few studies on HPV prevalence and type-specific distribution in ICC have been conducted in Italy. Aim: To describe the prevalence of HPV and the HPV type-specific distribution in ICC cases identified in Rome, Italy. Methods: 140 paraffin embedded tissue blocks of primary ICC diagnosed between 2001 and 2006 were identified at the Regina Elena Cancer Institute in Rome (Italy). HPV was detected through amplification of HPV DNA using SPF-10 HPV broad-spectrum primers followed by DEIA and then genotyping by LiPA(25) (version 1). Results: 134 cases were considered suitable for HPV DNA detection after histological evaluation; and overall, 90.3% (121/134) HPV prevalence was detected. 111 cases had a single HPV type, 4 cases had an uncharacterized type (HPVX) and 6 cases had multiple HPV infections. The five most common single HPV types among positive cases were: HPV16 (71/121; 58.7%), HPV18 (12/121; 9.9%), HPV31, HPV45 and HPV58 (5/121; 4.1% each). 2 (1.5%) of the single infections and 2 (1.5%) of the multiple infections contained low risk types. Statistically significant differences in the relative contribution of HPV18 were found when comparing squamous cell carcinomas with adenocarcinomas. Conclusions: HPV16 and HPV18 accounted for almost 70% of all the HPV positive ICC cases. The study provides baseline information for further evaluation on the impact of recently introduced HPV vaccines in Italy