Risk,parental autonomy and the epistemic divide: preimplantation genetic diagnosis in the Australian print news media, 1990–2007

Preimplantation genetic diagnosis (PGD) is a reproductive/genetic technology which has become the subject of public and scholarly debate because it involves the evaluation and consequent selection (and implantation) or destruction of human embryos. This research investigates the way PGD is constituted in the Australian print news media. Foucauldian discourse analysis reveals that proponents draw on their direct knowledge and experience of PGD to support their claims. There is an epistemic divide between consumers and others claiming direct knowledge, and critics and others drawing on indirect or abstract understandings of PGD. This divide characterizes the discourses present in the data and is directly linked to changes in these over the period under analysis.     

Enrichment of low-molecular-weight proteins from biofluids for biomarker discovery

The dramatic progress in mass spectrometry-based methods of protein identification has triggered a new quest for disease-associated biomarkers. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and its variant surface-enhanced laser desorption/ionization mass spectrometry, provide effective means to explore the less studied information slice of the human serum proteome – low-molecular-weight proteins and peptides. These low-molecular-weight proteins and peptides are promising for the detection of important biomarkers. Due to the significant experimental problems imposed by high-abundance and high-molecular-weight proteins, it is important to effectively remove these species prior to mass spectrometry analysis of the low-molecular-weight serum and plasma proteomes. In this review, the advantages afforded by recently introduced methods for prefractionation of serum, as they pertain to the detection and identification of biomarkers, will be discussed.     

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

We demonstrate methods for the detection of architectural distortion in prior mammograms of interval-cancer cases based on analysis of the orientation of breast tissue patterns in mammograms. We hypothesize that architectural distortion modifies the normal orientation of breast tissue patterns in mammographic images before the formation of masses or tumors. In the initial steps of our methods, the oriented structures in a given mammogram are analyzed using Gabor filters and phase portraits to detect node-like sites of radiating or intersecting tissue patterns. Each detected site is then characterized using the node value, fractal dimension, and a measure of angular dispersion specifically designed to represent spiculating patterns associated with architectural distortion.Our methods were tested with a database of 106 prior mammograms of 56 interval-cancer cases and 52 mammograms of 13 normal cases using the features developed for the characterization of architectural distortion, pattern classification via quadratic discriminant analysis, and validation with the leave-one-patient out procedure. According to the results of free-response receiver operating characteristic analysis, our methods have demonstrated the capability to detect architectural distortion in prior mammograms, taken 15 months (on the average) before clinical diagnosis of breast cancer, with a sensitivity of 80% at about five false positives per patient.     

Leveraging Metabolomics to Assess the Next Generation of Temozolomide-based Therapeutic Approaches for Glioblastomas

Glioblastoma multiforme (GBM) is the most common adult primary tumor of the central nervous system. The current standard of care for glioblastoma patients involves a combination of surgery, radiotherapy and chemotherapy with the alkylating agent temozolomide. Several mechanisms underlying the inherent and acquired temozolomide resistance have been identified and contribute to treatment failure. Early identification of temozolomide-resistant GBM patients and improvement of the therapeutic strategies available to treat this malignancy are of uttermost importance. This review initially looks at the molecular pathways underlying GBM formation and development with a particular emphasis placed on recent therapeutic advances made in the field. Our focus will next be directed toward the molecular mechanisms modulating temozolomide resistance in GBM patients and the strategies envisioned to circumvent this resistance. Finally, we highlight the diagnostic and prognostic value of metabolomics in cancers and assess its potential usefulness in improving the current standard of care for GBM patients.     

LIMNOLOGICAL MODELLING: SIMULATION OF VERTICAL PROFILES OF TEMPERATURE,DISSOLVED OXYGEN AND NUTRIENTS. I. THEORY

SUMMARY

In a body of water, variations occur in all limnological parameters on many time and space scales. Modelling can either be specific - for a selected subset; or can attempt to simulate the gross characteristics of e.g. current, temperature, algal blooms over an annual cycle (or longer). Vertical profiles perhaps give the greatest information for assessment of water quality. For a lake in a given geographical location, the prevailing atmospheric climate (i.e. wind, rain, solar radiation) is reflected in the mean behaviour of the lake - the hydro climate. This hydroclimate is specified by a set of statistics: one for each limnological parameter; the simplest of these to model is temperature. The one-dimensional model used first to describe heat transfer is easily adapted to simulate distributions of dissolved oxygen (DO), Mn, P, N, etc. once their major sources and sinks have been identified and quantified.     

超声检查在肛周感染性疾病中的诊断价值

目的:通过对一定样本的肛周感染患者的超声影像分析,探讨超声检查在肛周感染性疾病中诊断的价值,旨在早期为临床提供早期干预证据.方法:利用飞利浦IU22超声对我院2010年10月到2012年10月收治的60例肛周感染患者进行扫查,根据病变部位,特征及超声声像图进行分型分析并与实际手术结果对照,评价超声在肛周感染性疾病上的诊断及治疗方法选择的价值.结果:超声诊断单纯型肛周脓肿28例,肛瘘20例,复合型肛周脓肿12例;与手术所见符合率分别为单纯脓肿93.33％,肛瘘100.0％,复合型肛周脓肿90.91％.术前超声诊断和手术确诊病例数之间没有统计学差异(P＞0.05).结论:超声在肛周感染性疾病的诊断中具有快速、准确、经济等独特的优势,并可根据声像图对其作出较准确的分型,为临床治疗方法的选择提供可靠的依据.     

NBPF1 independently determine the risk stratification and prognosis of patients with neuroblastoma

Neuroblastoma is the most frequent extracranial malignant solid tumor in children, and the 5 year OS of high risk neuroblastoma patients was less than 15%. This study aimed to identify biomarkers for risk stratification and prognosis prediction in neuroblastoma.149 low risk samples, 108 intermediate risk samples and 619 high risk samples were included in our study, and NBPF1 gene was found to be significantly correlated with risk levels and OS. Significant negative correlations between NBPF1 and the expression of MYCN and AKT1S1, and positive correlations between NBPF1 and KIF1B expression were found, but only NBPF1 was an independent biomarker based on the construct of PPI for MYCN, NBPF1, KIF1B and AKT1S1 by STRING enrichment.     

Circulating and tissue microRNAs as a potential diagnostic biomarker in patients with thrombotic events

Venous and arterial thrombosis are conditions that have a considerable burden if left untreated. The hypoxia-induced by the occluded vessel can disrupt the circulation of any organ, the cornerstone of treating thrombosis is rapid diagnosis and appropriate treatment. Diagnosis of thrombosis may be made by using laboratory tests or imaging techniques in individuals who have clinical manifestations of a thrombotic event. The use of serum micro ribonucleic acids (RNAs) has recently been applied to the diagnosis of thrombosis. These small RNA molecules are emerging as new diagnostic markers but have had very limited applications in vascular disease. Most of the articles provided various microRNAs with different levels of accuracy. However, there remains a lack of an appropriate panel of the most specific microRNA in the literature. The purpose of the present review was to summarize the existing data on the use of microRNAs as a diagnostic biomarker for venous thrombosis.     

Expression profile of lncRNAs and miRNAs in esophageal cancer: Implications in diagnosis,prognosis, and therapeutic response

Esophageal cancer is the seventh most common cancer worldwide. Although a number of environmental and lifestyle-related risk factors have been identified for this kind of cancer, the exact molecular mechanisms of tumor evolution have not been clarified yet. Long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) as important regulators of gene expression and chromatin configuration have essential roles in the pathogenesis of esophageal cancer. They have been shown to alter the function of cancer-related signaling pathways such as phosphoinositide 3-kinase/protein kinase B and Wnt pathway, thus they might modulate the response of patients to pathway-targeted therapies. Moreover, a number of lncRNAs, such as AFAP1-AS1, UCA1, HOTAIR, LOC285194, and TUSC7, are involved in conferring chemoresistant/radioresistant in esophageal cancer cells. A complex network of interaction exists between lncRNAs and miRNAs in the context of esophageal cancer. Finally, various panels of lncRNAs and miRNAs have been introduced that can predict the survival of esophageal cancer patients. In this review article, we summarize the recent findings regarding the role of miRNAs and lncRNAs in the pathogenesis of esophageal cancer with the special focus on their regulatory roles on signaling pathways, their potential as diagnostic/prognostic markers, and their relevance with therapeutic response.