نتایج جستجو برای: bad gene

تعداد نتایج: 1170207  

Objectives: This study was done to assess the spread of bad habits among juvenile convicts and determine the motives for use and the consequences of addiction. Methods: This study was descriptive and carried out at the Federal State Healthcare Institution. The study group included 106 adolescents aged 14 to 19 years. Sample selection was based on a multi-stage sampling method. The research too...

2016
Björn Müller-Edenborn Jürgen Allgeier Ralph Hartmann Thomas Zeller Thomas Arentz

Björn Müller-Edenborn, MD, Jürgen Allgeier, MD, Ralph Hartmann, MD, Thomas Zeller, MD, Thomas Arentz, MD From the Department of Cardiology, University Heart Center Freiburg Bad Krozingen, Bad Krozingen, Germany, Department of Electrophysiology, University Heart Center Freiburg Bad Krozingen, Bad Krozingen, Germany, Department of Radiology, University Heart Center Freiburg Bad Krozingen, Bad Kro...

Journal: : 2021

Male infertility is an urgent medical and demographic threat worldwide, in particular industrial regions suffering from environmental pollution. Here we performed analysis of epidemiological studies meta-analyses prevalence, causes, risk factors male reproductive disorders. Among the well-defined determining are hormonal imbalance, sexually transmitted infections, other inflammatory diseases, h...

2011
Wei-Lun Wang Jiann-Ruey Hong Gen-Hwa Lin Wangta Liu Hong-Yi Gong Ming-Wei Lu Ching-Chun Lin Jen-Leih Wu

Infectious pancreatic necrosis virus (IPNV) can induce Bad-mediated apoptosis followed by secondary necrosis in fish cells, but it is not known how these two types of cell death are regulated by IPNV. We found that IPNV infection can regulate Bad/Bid-mediated apoptotic and Rip1/ROS-mediated necrotic death pathways via the up-regulation of TNFα in zebrafish ZF4 cells. Using a DNA microarray and ...

2016
Iman Rezaeian Eliseos J Mucaki Katherina Baranova Huy Q Pham Dimo Angelov Alioune Ngom Luis Rueda Peter K Rogan

Genomic aberrations and gene expression-defined subtypes in the large METABRIC patient cohort have been used to stratify and predict survival. The present study used normalized gene expression signatures of paclitaxel drug response to predict outcome for different survival times in METABRIC patients receiving hormone (HT) and, in some cases, chemotherapy (CT) agents. This machine learning metho...

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