New Issue | Current Aging Science 11-4

 

Current Aging Science publishes frontier review and experimental articles in all areas of aging and age-related research that may influence longevity. This multidisciplinary journal will help in understanding the biology and mechanism of aging, genetics, pathogenesis, intervention of normal aging process and preventive strategies of age-related disorders. The journal publishes objective reviews written by experts and leaders actively engaged in research using cellular, clinical, molecular, and animal models, including lower organism models (e.g., yeast, Caenorhabditis elegans and Drosophila). In addition to the affect of aging on integrated systems, the journal also covers original articles on recent research in fast emerging areas of adults stem cells, brain imaging, calorie restriction, immunosenescence, molecular diagnostics, pharmacology and clinical aspects of aging. Manuscripts are encouraged that relate to developmental programming of aging and the synergistic mechanism of aging with cardiovascular diseases, obesity and neurodegenerative disorders.

Book reviews, meeting reports and letters-to-the-editor and drug clinical trial studies are also published. The journal is essential reading for researchers, educators and physicians with interest in aging, age-related dementia and Alzheimer’s disease and longevity. Current Aging Science provides a comprehensive coverage of the current state of aging research for gerontologists, neuroscientists, clinicians, health science planners, granting agencies and pharmaceutical scientists.

 

 

Articles from the journal Current Aging Science Volume 11, Issue 4:

• Focus on the Different Projects of Telemedicine Centered on the Elderly In France
• Oxidative and Inflammatory Events in Prion Diseases: Can They Be Therapeutic Targets?
• The Effects of Healthy Ageing on Cerebral Blood Flow Responses to Cognitive Testing
• Inflammatory Biomarkers, Depressive Symptoms and Falls Among the elderly in Panama
• Detecting Non-cognitive Features of Prodromal Neurodegenerative Diseases
• Mitochondrial Common Deletion Level in Blood: New Insight Into the Effects of Age and Body Mass Index
• Changes in Body Composition of Old Rats at Different Time Points After Dexamethasone Administration
• Impact of Cardiovascular Factors on Pulse Wave Velocity and Total Vascular Resistance in Different Age Group Patients with Cardiovascular Disorders

For more details on the article, please visit: http://www.eurekaselect.com/node/680/current-aging-science/issue/11/2363/4/9060

Press Release | Endothelial regenerative capacity and aging: Influence of diet, exercise and obesity

The endothelium plays an important role in cardiovascular regulation, from blood flow to platelet aggregation, immune cell infiltration and demargination. Endothelium dysfunction inevitably leads to the onset and progression of cardiovascular disease (CVD). The aging endothelium displays significant changes in function, such as reduced vasomotor functions and reduced angiogenic capabilities. This may be partially due to increased levels of oxidative stress and reduced endothelial cell turnover.

Endothelial Progenitor Cells (EPCs) are circulating angiogenic cells which play an important role in maintaining endothelial health and function. EPCs maintain endothelial health and function by supporting cell proliferation or by incorporation into vasculature and differentiation into mature endothelial cells. However, EPCs are reduced in number with age, and this reduction may also contribute to elevated CVD risk in aging populations. Lifestyle factors such as exercise, physical activity obesity, and dietary intake of omega-3 polyunsaturated fatty acids, nitrates, and antioxidants, greatly influences the number and function of these circulating angiogenic cells. Read full press release to find out more at: https://www.eurekalert.org/pub_releases/2018-12/bsp-erc122718.php

 

This review will discuss the effects of advancing age on endothelial health and vascular regenerative capacity, as well as the influence of diet, exercise, and obesity on these cells, the mechanistic links and the subsequent impact on cardiovascular health.

 

This article by Dr. Mark D. Ross is published in Current Cardiology Reviews, Volume 14, Issue 4, 2018. To obtain the article, please visit: http://www.eurekaselect.com/164045

Bentham Science Free Trial in Zhejiang University| Free Trial ends on 23rd Jul, 2019

 

Zhejiang University (ZJU, also known as Che Kiang University, usually referred to as Zhèdà (浙大), is an elite C9 League university in Zhejiang province. It is also a Chinese Ministry of Education Class A Double First Class University. Founded in 1897, Zhejiang University is one of China’s oldest, most selective and most prestigious institutions of higher education. It is also a member of the Yangtze Delta Universities Alliance and the Association of Pacific Rim Universities.

The university campus is located in the city of Hangzhou. Zhejiang University Library’s collection contains about 7 million volumes, making it one of China’s largest academic libraries.

Zhejiang University is a comprehensive research university with national and international impact. Research at Zhejiang University spans 12 academic disciplines: agriculture, art, economics, education, engineering, history, law, literature, management, medicine, natural sciences, and philosophy. In the Essential Science Indicator (ESI) rankings of 22 disciplines, Zhejiang University ranks among the top 1% in 15 disciplines and is listed in the top 100 of the world’s academic institutions in 4 disciplines.

Zhejiang University focuses on assiduous study and research, and science and technological innovation. It has launched a number of international high-end academic platforms and gathered masters, scholars and high-level research teams in various disciplines. In recent years, Zhejiang University maintains a leading position in China in output indicators including publications, patents, etc., and has made abundant important achievements in science, technology, humanities and social sciences. Zhejiang University always takes initiative in catering for national and regional needs and exerts itself to become an influential high-level source of innovation and a pool of talents.

Among its approximate 3,100 standing faculty  members, more than 1,200 faculty members hold the title of professor. The faculty includes: 14 members of the Chinese Academy of Sciences, 13 members of the Chinese Academy of Engineering, 48 scholars in the national Recruitment Program of Global Experts, 20 chief scientists of national 973 projects, 81 Changjiang (Yangtze River) Award winners, and 88 recipients of the awards from the National Science Fund for Distinguished Young Scholars. Zhejiang University also has some prominent foreigners, who joined its rank as faculty. This include Nobel Laureate Michael Levitt, who joined Zhejiang University Department of Chemistry in 2018.

Zhejiang University is consistently ranked among China’s top universities. In 2019, it ranked 16th among the universities around the world by SCImago Institutions Rankings.

 

Editor’s Choice Article | Downregulation of TdT Expression through Splicing Modulation by Antisense Peptide Nucleic Acid (PNA)

Author(s): Soheila Montazersaheb, Masoumeh Kazemi, Elahe Nabat, Peter E. Nielsen*, Mohammad S. Hejazi*.

Journal Name: Current Pharmaceutical Biotechnology

 

 

Antisense oligonucleotides are able to modulate splicing patterns and offer therapeutic intervention for cancer and other diseases. Considering TdT potential as a target in cancer therapy, the present study aimed to investigate splicing alteration of TdT pre-mRNA in Molt-4 cells using peptide nucleic acid (PNA) octaarginine and cholic acid conjugates.

We examined 16 mer PNAs targeting 5′ and 3′ junctions of intron 7 and addressed their mRNA splicing modulation effects using RT-PCR analysis. We also tested corresponding 2-base mismatch PNAs to confirm the sequence specificity. In addition, protien level of TdT, apoptosis induction and cell viability rate were analysed. Read out full article at: http://www.eurekaselect.com/169709/article

eBook | Arduino and SCILAB based Projects

 

The primary objective of writing this book is to provide a platform for the beginners to get started with Arduino and its interfacing with SCILAB. The book provides the basic knowledge of the programming and interfacing of the devices with Arduino and SCILAB.

This book provides basics to advanced knowledge of Arduino and its interfacing with input/output devices (display devices, actuators, sensors), communication modules (RF modem, Zigbee) and SCILAB. This would be beneficial for the people who want to get started with embedded system projects. It provides embedded system based on Arduino with simulation, programming and interfacing with SCILAB, all at a single platform. Arduino interfacing with SCILAB with and without Arduino_1.1 packages are included. Basics of the Arduino are covered in section-A, section-B covers interfacing with Scilab Arduino_1.1 package and section-C covers projects without Scilab Arduino_1.1 package. Read out the full version here.

 

BY

RAJESH SINGH, ANITA GEHLOT, BHUPENDRA SINGH

New Issue | Current Green Chemistry 6-1

 

Current Green Chemistry is an international peer-reviewed journal, which publishes original research, full-length/mini reviews and thematic issues in all core areas of green chemistry. The scope covers green chemistry related to synthetic chemistry, process and analytical chemistry, separation science, sustainable resources, and alternative environmentally safer chemical procedures.

 

Articles from the journal Current Green Chemistry Volume 6, Issue 1:

• Alum (KAl(SO4)2.12H2O) – An Eco-friendly and Versatile Acid-catalyst in Organic Transformations: A Recent Update
• Valorization of Carbon Dioxide into Oxazolidinones by Reaction with Aziridines
• Efficient Catalytic Upgrade of Fructose to Alkyl Levulinates with Phenylpyridine- phosphotungstate Solid Hybrids
• Adsorptive-removal of Bromothymol Blue as Acidic-dye Probe from Water Solution Using Latvian Sphagnum Peat Moss: Thermodynamic Assessment, Kinetic and Isotherm Modeling
• Catalyst-Free Glycerol Promoted Green Synthesis of 2-amino-1,8- naphthyridine -3-carbonitriles and 2-amino-3-quinolinecarbonitriles
• Polyaniline Supported Palladium Catalyzed Reductive Degradation of Dyes Under Mild Condition

For more details on the article, please visit: http://www.eurekaselect.com/node/111880/current-green-chemistry/issue/6/2567/1/9020

New Issue | Current Topics in Medicinal Chemistry 19-5

 

Current Topics in Medicinal Chemistry is a forum for the review of areas of keen and topical interest to medicinal chemists and others in the allied disciplines. Each issue is solely devoted to a specific topic, containing six to nine reviews, which provide the reader a comprehensive survey of that area. A Guest Editor who is an expert in the topic under review, will assemble each issue. The scope of Current Topics in Medicinal Chemistry will cover all areas of medicinal chemistry, including current developments in rational drug design, synthetic chemistry, bioorganic chemistry, high-throughput screening, combinatorial chemistry, compound diversity measurements, drug absorption, drug distribution, metabolism, new and emerging drug targets, natural products, pharmacogenomics, and structure-activity relationships. Medicinal chemistry is a rapidly maturing discipline. The study of how structure and function are related is absolutely essential to understanding the molecular basis of life. Current Topics in Medicinal Chemistry aims to contribute to the growth of scientific knowledge and insight, and facilitate the discovery and development of new therapeutic agents to treat debilitating human disorders. The journal is essential for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important advances.

 

 

Articles from the journal Current Topics in Medicinal Chemistry Volume 19, Issue 5:

• Trends in Enzyme Inhibition and Activation in Drug Design – Part II
• Prediction of Drug-Drug Interactions Related to Inhibition or Induction of Drug-Metabolizing Enzymes
• Mycobacterial tuberculosis Enzyme Targets and their Inhibitors
• Design, Synthesis, Evaluation of Antimicrobial Activity and Docking Studies of New Thiazole-based Chalcones
• Synthesis and In Vitro Enzymatic Studies of New 3-Aryldiazenyl Indoles as Promising Helicobacter pylori IMPDH Inhibitors
• Docking Assisted Prediction and Biological Evaluation of Sideritis L. Components with PTP1b Inhibitory Action and Probable Anti-Diabetic Properties

For more details on the article, please visit: https://bit.ly/2PiwVza

Aims & Scope | Current Medical Imaging

 

Current Medical Imaging publishes frontier review articles, original research articles, case reports, drug clinical trial studies and guest edited thematic issues on all the latest advances on medical imaging dedicated to clinical research. All relevant areas are covered by the journal, including advances in the diagnosis, instrumentation and therapeutic applications related to all modern medical imaging techniques.

The journal is essential reading for all clinicians and researchers involved in medical imaging and diagnosis. To learn more about the journal, please visit: https://benthamscience.com/journals/current-medical-imaging/

 

 

Most Accessed Articles | A Review of Denoising Medical Images Using Machine Learning Approaches

Author(s): Prabhpreet Kaur*, Gurvinder Singh, Parminder Kaur.

Journal Name: Current Medical Imaging

 

This paper attempts to identify suitable Machine Learning (ML) approach for image denoising of radiology based medical application. The Identification of ML approach is based on (i) Review of ML approach for denoising (ii) Review of suitable Medical Denoising approach.

The review focuses on six application of radiology: Medical Ultrasound (US) for fetus development, US Computer Aided Diagnosis (CAD) and detection for breast, skin lesions, brain tumor MRI diagnosis, X-Ray for chest analysis, Breast cancer using MRI imaging. This survey identifies the ML approach with better accuracy for medical diagnosis by radiologists. The image denoising approaches further includes basic filtering techniques, wavelet medical denoising, curvelet and optimization techniques. In most of the applications, the machine learning performance is better than the conventional image denoising techniques. For fast and computational results the radiologists are using the machine learning methods on MRI, US, X-Ray and Skin lesion images. The characteristics and contributions of different ML approaches are considered in this paper. Read out full article here: http://www.eurekaselect.com/152027

 

 

Open Access Articles | Alzheimer’s Disease Classification Based on Multi-feature Fusion

Author(s): Nuwan Madusanka, Heung-Kook Choi*, Jae-Hong So, Boo-Kyeong Choi.

Journal Name: Current Medical Imaging

In this study, we investigated the fusion of texture and morphometric features as a possible diagnostic biomarker for Alzheimer’s Disease (AD).

In particular, we classified subjects with Alzheimer’s disease, Mild Cognitive Impairment (MCI) and Normal Control (NC) based on texture and morphometric features. Currently, neuropsychiatric categorization provides the ground truth for AD and MCI diagnosis. This can then be supported by biological data such as the results of imaging studies. Cerebral atrophy has been shown to correlate strongly with cognitive symptoms. Hence, Magnetic Resonance (MR) images of the brain are important resources for AD diagnosis. In the proposed method, we used three different types of features identified from structural MR images: Gabor, hippocampus morphometric, and Two Dimensional (2D) and Three Dimensional (3D) Gray Level Co-occurrence Matrix (GLCM). The experimental results, obtained using a 5-fold cross-validated Support Vector Machine (SVM) with 2DGLCM and 3DGLCM multi-feature fusion approaches, indicate that we achieved 81.05% ±1.34, 86.61% ±1.25 correct classification rate with 95% Confidence Interval (CI) falls between (80.75-81.35) and (86.33-86.89) respectively, 83.33%±2.15, 84.21%±1.42 sensitivity and 80.95%±1.52, 85.00%±1.24 specificity in our classification of AD against NC subjects, thus outperforming recent works found in the literature. For the classification of MCI against AD, the SVM achieved a 76.31% ± 2.18, 78.95% ±2.26 correct classification rate, 75.00% ±1.34, 76.19%±1.84 sensitivity and 77.78% ±1.14, 82.35% ±1.34 specificity. Read out full article here: http://www.eurekaselect.com/166178