1,720,975 research outputs found
Human microbiome acquisition and bioinformatic challenges in metagenomic studies
The study of the human microbiome has become a very popular topic. Our microbial counterpart, in fact, appears to play an important role in human physiology and health maintenance. Accordingly, microbiome alterations have been reported in an increasing number of human diseases. Despite the huge amount of data produced to date, less is known on how a microbial dysbiosis effectively contributes to a specific pathology. To fill in this gap, other approaches for microbiome study, more comprehensive than 16S rRNA gene sequencing, i.e., shotgun metagenomics and metatranscriptomics, are becoming more widely used. Methods standardization and the development of specific pipelines for data analysis are required to contribute to and increase our understanding of the human microbiome relationship with health and disease status
The High-Throughput Analyses Era: Are We Ready for the Data Struggle?
Recent and rapid technological advances in molecular sciences have dramatically increased the ability to carry out high-throughput studies characterized by big data production. This, in turn, led to the consequent negative effect of highlighting the presence of a gap between data yield and their analysis. Indeed, big data management is becoming an increasingly important aspect of many fields of molecular research including the study of human diseases. Now, the challenge is to identify, within the huge amount of data obtained, that which is of clinical relevance. In this context, issues related to data interpretation, sharing and storage need to be assessed and standardized. Once this is achieved, the integration of data from different -omic approaches will improve the diagnosis, monitoring and therapy of diseases by allowing the identification of novel, potentially actionably biomarkers in view of personalized medicine
From laboratory bench to benchmark: technology transfer in laboratory medicine
Background: Life Sciences research, enhancing the occurrence of innovation, is able to impact clinical decision-making, both at diagnosis and therapy. Indeed, starting from the knowledge of specific needs and of technical-scientific demands, researchers can conceive and experiment innovative solutions. Despite these strengths, transferring research to the market in Life Sciences shows considerable criticalities. The aim of this paper is to provide concrete evidences on the processes of technology transfer based on the exploitation of the results obtained by KronosDNAsrl, an academic spin-off focused on reproductive medicine.
Methods: Different tools were used to evaluate the technical feasibility (validation of the results obtained with the prototype) and to manage the technology transfer process of One4Two®.
Results: The different analyses we carried out showed the feasibility of the proposed solution. As a result, the One4Two® prototype has been developed and validated.
Conclusions: Here, we provide a strength of evidences on how knowledge obtained by translational research on "bench" can be used to be transferred to the market on "benchmark" enabling innovation in Laboratory Medicine. In addition, the model described for One4Two® can be easily transferred to other products
Molecular diagnosis of Brugada syndrome via next-generation sequencing of a multigene panel in a young athlete
Mutations in genes driving the molecular pathways that regulate myocardial functions can predispose to many independent cardiopathies and also to sudden cardiac death (SCD) even in asymptomatic subjects. The overlapping clinical signs or symptoms or even silent phenotypes make it difficult to diagnose these diseases, therefore the risk of undiagnosed disease could be high especially in young adults and athletes, which may then incur in SCD. We describe the case of a clinical asymptomatic eight-year-old child, practicing soccer game, who underwent a screening medical examination to undertake the path of an increasing physical activity to become a competitive athlete, where abnormal signs at ECG indicated a suspicion of an arrhythmogenic heart disease. Molecular screening analysis, to discriminate among the various predisposing gene alterations, was performed using a 75 gene-panel for arrhythmias customized in our laboratory. The child resulted carrier of a loss-of-function mutation in the SCN5A gene (c.1126C>T). About 25% of Brugada patients carry mutations in this gene coding for the cardiac sodium channel. The loss-of-function mutations in SCN5A gene induce alterations of sodium ion conduction in cardiomyocytes, compatible with the Brugada Syndrome. This case report highlights the importance of the implementation of a rapid, sensitive and wide molecular screening to shed light on possible genetic alterations present also in asymptomatic athletes with negative family history, which may often remain undiagnosed, thus exposed to high risk of sudden death
Indicazioni e limiti della diagnosi genetica preimpianto
The preimplantation genetic diagnosis allows to identify genetic disease and chromosomal alterations in early stages of embryonic development, giving the opportunity to overcome the risk of transmitting an inherited disease and to improve the efficiency of in vitro fertilization techniques. In this paper, we provide an overview of indications and of the advantages and limits of techniques used to perform the preimplantation genetic diagnosis. We describe the multiplex-polymerase chain reaction (PCR) and the karyomapping for the genetic diagnosis of inherited disease as well as the comparative genomic hybridization array, the qualitative real-time PCR and the next generation sequencing for the screening of chromosomal aneuploidy
Gut Microbiome and Mycobiome Alterations in an In Vivo Model of Alzheimer’s Disease
Gut microbiota has emerged as an important key regulator of health and disease status. Indeed, gut microbial dysbiosis has been identified in an increasing number of diseases, including neurodegenerative disorders. Accordingly, microbial alterations have been reported also in Alzheimer’s disease (AD), suggesting possible pathogenetic mechanisms contributing to the development of specific AD hallmarks and exacerbating metabolic alterations and neuroinflammation. The identification of these mechanisms is crucial to develop novel, targeted therapies and identify potential biomarkers for diagnostic purposes. Thus, the possibility to have AD in vivo models to study this microbial ecosystem represents a great opportunity for translational applications. Here, we characterized both gut microbiome and mycobiome of 3xTg-AD mice, one of the most widely used AD models, to identify specific microbial alterations with respect to the wild-type counterpart. Interestingly, we found a significant reduction of the Coprococcus and an increased abundance of Escherichia_Shigella and Barnesiella genera in the AD mice compatible with a pro-inflammatory status and the development of AD-related pathogenetic features. Moreover, the fungal Dipodascaceae family was significantly increased, thus suggesting a possible contribution to the metabolic alterations found in AD. Our data point out the strict connection between bacterial dysbiosis and AD and, even if further studies are required to clarify the underlining mechanisms, it clearly indicates the need for extensive metagenomic studies over the bacterial counterpart
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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