Identifying quantitative operation principles in metabolic pathways: a systematic method for searching feasible enzyme activity patterns leading to cellular adaptive responses

Background: Optimization methods allow designing changes in a system so that specific goals are attained. These techniques are fundamental for metabolic engineering. However, they are not directly applicable for investigating the evolution of metabolic adaptation to environmental changes. Although biological systems have evolved by natural selection and result in well-adapted systems, we can hardly expect that actual metabolic processes are at the theoretical optimum that could result from an optimization analysis. More likely, natural systems are to be found in a feasible region compatible with global physiological requirements. Results: We first present a new method for globally optimizing nonlinear models of metabolic pathways that are based on the Generalized Mass Action (GMA) representation. The optimization task is posed as a nonconvex nonlinear programming (NLP) problem that is solved by an outer- approximation algorithm. This method relies on solving iteratively reduced NLP slave subproblems and mixed-integer linear programming (MILP) master problems that provide valid upper and lower bounds, respectively, on the global solution to the original NLP. The capabilities of this method are illustrated through its application to the anaerobic fermentation pathway in Saccharomyces cerevisiae. We next introduce a method to identify the feasibility parametric regions that allow a system to meet a set of physiological constraints that can be represented in mathematical terms through algebraic equations. This technique is based on applying the outer-approximation based algorithm iteratively over a reduced search space in order to identify regions that contain feasible solutions to the problem and discard others in which no feasible solution exists. As an example, we characterize the feasible enzyme activity changes that are compatible with an appropriate adaptive response of yeast Saccharomyces cerevisiae to heat shock Conclusion: Our results show the utility of the suggested approach for investigating the evolution of adaptive responses to environmental changes. The proposed method can be used in other important applications such as the evaluation of parameter changes that are compatible with health and disease states.

Tuberous sclerosis: literature review and case report

Tuberous sclerosis (TS) or Bourneville"s disease is a rare, multisystemic genetic disorder. It involves alterations to ectodermal and mesodermal cell differentiation and proliferation, causing benign hamartomatous tumors, neurofibromas and angiofibromas in the brain and other vital organs including the kidney, heart, eyes, lungs, skin and mucosa. It also affects the central nervous system and produces neurological dysfunctions such as seizures, mental retardation and behavior disorders. Tuberous (rootshaped) growths develop in the brain, and calcify over time, becoming hard and sclerotic, hence the name given to the disease. Although inheritance is autosomal dominant, 60-70% of cases occur through spontaneous mutations. The disease is related to some mutations or alterations in two genes, named TSC1 and TSC2. Discovered in 1997, TSC1 is located on chromosome 9q34 and produces a protein called hamartin. TSC2, discovered in 1993, is located on chromosome 16p13 and produces a protein called tuberin. The prevalence of the disease is 1/6000-10,000 live newborns, and it is estimated that there are 1-2 million sufferers worldwide. This paper presents a literature review and a family case report of a mother and two of her daughters with oral features of TS

Erupted odontomas: a report of three cases and review of the literature

Introduction: Odontomas are benign odontogenic tumors composed of enamel, dentine, cement and pulp tissue. They are usually clinically asymptomatic, but often associated with tooth eruption disturbances. In exceptional cases the odontoma erupts into the mouth. The present study reports three cases of odontomas erupted into the oral cavity and reviews the literature. Clinical cases: The first case was an 11-year-old girl with impacted 4.6 associated to a radiopaque mass measuring about 2 cm in diameter. The histological diagnosis was complex odontoma. A clinical and radiological follow-up of 4.6 was carried out until its spontaneous eruption. The second case was a 26-year-old male presenting a hard, yellowish-brown mass located distal to the upper left second molar. Computed tomography confi rmed the presence of a radiopaque lesion, and the histopathological study confirmed a complex odontoma. The third patient was a 27-year-old male reporting tongue irritation due to tooth eruption in the inferior lingual region. A periapical radiograph revealed a mixed radiopaque lesion associated to impacted 3.2. The histological report in this case indicated a compound odontoma. Discussion: Odontomas erupting into the oral cavity are rare. The first case was published in 1980, and since then only 17 cases have been reported in the literature. Eight of the 17 cases were complex odontomas; the rest were compound odontomas. Pain, swelling and infection were the most common symptoms, and 13 cases presented an impacted tooth associated with the lesion

Intelligent Internet Data Searching

In this thesis author approaches the problem of automated text classification, which is one of basic tasks for building Intelligent Internet Search Agent. The work discusses various approaches to solving sub-problems of automated text classification, such as feature extraction and machine learning on text sources. Author also describes her own multiword approach to feature extraction and pres-ents the results of testing this approach using linear discriminant analysis based classifier, and classifier combining unsupervised learning for etalon extraction with supervised learning using common backpropagation algorithm for multilevel perceptron.

Automatic target validation based on neuroscientific literature mining for tractography.

Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so that they can be used for anatomical connection studies and more specifically for tractography. We applied text-mining models to three structures: two well-studied structures, since validated deep brain stimulation targets, the internal globus pallidus and the subthalamic nucleus and, the nucleus accumbens, an exploratory target for treating psychiatric disorders. We performed a systematic review of the literature to document the projections of the three selected structures and compared it with the targets proposed by text-mining models, both in rat and primate (including human). We ran probabilistic tractography on the nucleus accumbens and compared the output with the results of the text-mining models and literature review. Overall, text-mining the literature could find three times as many targets as two man-weeks of curation could. The overall efficiency of the text-mining against literature review in our study was 98% recall (at 36% precision), meaning that over all the targets for the three selected seeds, only one target has been missed by text-mining. We demonstrate that connectivity for a structure of interest can be extracted from a very large amount of publications and abstracts. We believe this tool will be useful in helping the neuroscience community to facilitate connectivity studies of particular brain regions. The text mining tools used for the study are part of the HBP Neuroinformatics Platform, publicly available at http://connectivity-brainer.rhcloud.com/.

Positive Outcomes Influence the Rate and Time to Publication, but Not the Impact Factor of Publications of Clinical Trial Results

Objectives: Publication bias may affect the validity of evidence based medical decisions. The aim of this study is to assess whether research outcomes affect the dissemination of clinical trial findings, in terms of rate, time to publication, and impact factor of journal publications. Methods and Findings: All drug-evaluating clinical trials submitted to and approved by a general hospital ethics committee between 1997 and 2004 were prospectively followed to analyze their fate and publication. Published articles were identified by searching Pubmed and other electronic databases. Clinical study final reports submitted to the ethics committee, final reports synopses available online and meeting abstracts were also considered as sources of study results. Study outcomes were classified as positive (when statistical significance favoring experimental drug was achieved), negative (when no statistical significance was achieved or it favored control drug) and descriptive (for non-controlled studies). Time to publication was defined as time from study closure to publication. A survival analysis was performed using a Cox regression model to analyze time to publication. Journal impact factors of identified publications were recorded. Publication rate was 48·4% (380/785). Study results were identified for 68·9% of all completed clinical trials (541/785). Publication rate was 84·9% (180/212) for studies with results classified as positive and 68·9% (128/186) for studies with results classified as negative (p<0·001). Median time to publication was 2·09 years (IC95 1·61-2·56) for studies with results classified as positive and 3·21 years (IC95 2·69-3·70) for studies with results classified as negative (hazard ratio 1·99 (IC95 1·55-2·55). No differences were found in publication impact factor between positive (median 6·308, interquartile range: 3·141-28·409) and negative result studies (median 8·266, interquartile range: 4·135-17·157). Conclusions: Clinical trials with positive outcomes have significantly higher rates and shorter times to publication than those with negative results. However, no differences have been found in terms of impact factor.

Involuntary outpatient treatment for mental health problems in Switzerland: a literature review.

BACKGROUND: In 2008, the Swiss Civil Code was amended. From 1 January 2013, each Swiss canton may propose specific provisions for involuntary outpatient treatment (community treatment orders (CTOs)) for individuals with mental disorders. AIM: This review catalogues the legal provisions of the various Swiss cantons for CTOs and outlines the differences between them. It sets this in the context of variations in clinical provisions between the cantons. METHODS: Databases were searched to obtain relevant publications about CTOs in Switzerland. The Swiss Medical Association, Swiss Federal Statistical Office, Swiss Health Observatory and all the 26 Cantonal medical officers were contacted to complete the information. Conférence des cantons en matière de protection des mineurs et des adultes (COPMA), the authority which monitors guardianship legislation, and Pro Mente Sana, a patients' right association, were also approached. RESULTS: Three articles about CTOs in Switzerland were identified. Psychiatric provisions vary considerably between cantons and only a few could provide complete or even partial figures for rates of compulsion in previous years. Prior to 2013, only 6 of the 20 cantons, for which information was returned, had any provision for CTOs. Now, every canton has some form of legal basis but the level of detail is often limited. In eight cantons, the powers of the measure are not specified (for example, use of medication). In 12 cantons, the maximum duration of the CTO is not specified. German speaking cantons and rural cantons are more likely to specify the details of CTOs. CONCLUSION: Highly variable Swiss provision for CTOs is being introduced despite the absence of convincing international evidence for their effectiveness or good quality data on current coercive practice. Careful monitoring and assessment of these new cantonal provisions are essential.

Is high dose rate brachytherapy reliable and effective treatment for prostate cancer patients? A review of the literature.

The intrinsic physical and radiobiological characteristics of High Dose Rate Brachytherapy (HDR-BT) are well suited to the treatment of prostate cancer. HDR-BT was initially used as a boost to external beam brachytherapy, but has subsequently been employed as the sole treatment, which is termed HDR monotherapy. This review summarizes the clinical outcomes and toxicity results of the principal studies and discusses the radiobiological basis supporting its use.

Searching electronic marketplaces

The main objective of this thesis was to analyze the usability of registers and indexes of electronic marketplaces. The work is focused on UDDI-based electronic marketplaces, which are standardized by the W3C. UDDI-registers are usable in intranets, extranets and in Internet. Using UDDI-registers Web-services can be searched in many ways, including alphabetical and domain specific searches. Humans and machines can use the features UDDI-registers. The thesis deals the design principles, architectures and specifications of UDDI-registers. In addition, the thesis includes the design and the specifications of an electronic marketplace developed for supporting electronic logistics services.