scholarly journals The molecular pathophysiology of vascular anomalies: Genomic research

2020 ◽  
Vol 47 (3) ◽  
pp. 203-208
Author(s):  
Jong Seong Kim ◽  
Su-Kyeong Hwang ◽  
Ho Yun Chung
Keyword(s):  
Genetic Testing ◽  
Treatment Options ◽  
Current Treatment ◽  
Vascular Anomalies ◽  
Clinical Severity ◽  
Genomic Research ◽  
Location Type ◽  
Molecular Pathophysiology ◽  
Generation Sequencing ◽  
Disease Specific

Vascular anomalies are congenital localized abnormalities that result from improper development and maintenance of the vasculature. The lesions of vascular anomalies vary in location, type, and clinical severity of the phenotype, and the current treatment options are often unsatisfactory. Most vascular anomalies are sporadic, but patterns of inheritance have been noted in some cases, making genetic analysis relevant. Developments in the field of genomics, including next-generation sequencing, have provided novel insights into the genetic and molecular pathophysiological mechanisms underlying vascular anomalies. These insights may pave the way for new approaches to molecular diagnosis and potential disease-specific therapies. This article provides an introduction to genetic testing for vascular anomalies and presents a brief summary of the etiology and genetics of vascular anomalies.

scholarly journals Targeted next generation sequencing gene panels used to improve diagnosis of congenital cataract and current treatment strategies

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Elewys Hearne ◽  
◽  
Susan Lightman ◽  
Keyword(s):  
Next Generation Sequencing ◽  
Congenital Cataract ◽  
Clinical Care ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Current Treatment ◽  
Next Generation ◽  
Targeted Next Generation Sequencing ◽  
Gene Panels ◽  
Generation Sequencing

There is huge potential in using targeted Next Generation Sequencing (NGS) gene panels to improve diagnosis of congenital cataract, however the many difficultiesin incorporating it into routine clinical care are explored. Treatment options for children with congenital cataract are described. Keywords: Congenital; Cataracts; Genetics; Treatment.

Chronic Nonbacterial Osteomyelitis: Pathophysiological Concepts and Current Treatment Strategies

2016 ◽  
Vol 43 (11) ◽  
pp. 1956-1964 ◽  
Author(s):  
Sigrun R. Hofmann ◽  
Anja Schnabel ◽  
Angela Rösen-Wolff ◽  
Henner Morbach ◽  
Hermann J. Girschick ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Chronic Recurrent Multifocal Osteomyelitis ◽  
Current Treatment ◽  
Multifocal Osteomyelitis ◽  
The One ◽  
Molecular Pathophysiology ◽  
Bone Inflammation ◽  
Chronic Nonbacterial Osteomyelitis

Chronic nonbacterial osteomyelitis (CNO) is an autoinflammatory bone disorder, covering a clinical spectrum with asymptomatic inflammation of single bones at the one end, and chronic recurrent multifocal osteomyelitis (CRMO) at the other end. The exact molecular pathophysiology of CNO remains largely unknown. Provided familial clusters and the association with inflammatory disorders of the skin and intestine suggest a genetic predisposition. Recently, profound dysregulation of cytokine responses was demonstrated in CRMO. Failure to produce antiinflammatory cytokines interleukin (IL)-10 and IL-19 contributes to activation of inflammasomes and subsequent IL-1β release. In IL-10–deficient and in CNO-prone chronic multifocal osteomyelitis mice, IL-1β was linked to bone inflammation. Further, alterations to the gut microbiome were suggested in contributing to IL-1β release from innate immune cells in mice, offering an interesting target in the search for molecular mechanisms in CNO. Here, we summarize clinical presentation and treatment options in CNO/CRMO, current pathophysiological concepts, available mouse models, and promising future scientific directions.

An Overview of Dementias

2012 ◽  
Vol 21 (3) ◽  
pp. 75-84
Author(s):  
Venkata Vijaya K. Dalai ◽  
Jason E. Childress ◽  
Paul E Schulz
Keyword(s):  
Clinical Presentation ◽  
Treatment Options ◽  
Current Treatment ◽  
Great Variability ◽  
Health Concern ◽  
Public Health Concern ◽  
Life Threatening ◽  
The Common ◽  
Neurodegenerative Dementias ◽  
Made In

Dementia is a major public health concern that afflicts an estimated 24.3 million people worldwide. Great strides are being made in order to better diagnose, prevent, and treat these disorders. Dementia is associated with multiple complications, some of which can be life-threatening, such as dysphagia. There is great variability between dementias in terms of when dysphagia and other swallowing disorders occur. In order to prepare the reader for the other articles in this publication discussing swallowing issues in depth, the authors of this article will provide a brief overview of the prevalence, risk factors, pathogenesis, clinical presentation, diagnosis, current treatment options, and implications for eating for the common forms of neurodegenerative dementias.

Initiation of Clozapine Therapy in a Patient With Preexisting Leukopenia: A Discussion of the Rationale of Current Treatment Options

2001 ◽  
Vol 13 (4) ◽  
pp. 233-237 ◽  
Author(s):  
Roger Boshes ◽  
Theo Manschreck ◽  
Jean Desrosiers ◽  
Steven Candela ◽  
Meredith Hanrahan-Boshes
Keyword(s):  
Treatment Options ◽  
Current Treatment ◽  
Clozapine Therapy

Next-Generation Sequencing: An Emerging Tool for Drug Designing

2019 ◽  
Vol 25 (31) ◽  
pp. 3350-3357 ◽  
Author(s):  
Pooja Tripathi ◽  
Jyotsna Singh ◽  
Jonathan A. Lal ◽  
Vijay Tripathi
Keyword(s):  
Next Generation Sequencing ◽  
High Throughput ◽  
Large Scale ◽  
Massively Parallel Sequencing ◽  
Genomic Research ◽  
Biological Research ◽  
Next Generation ◽  
Human Welfare ◽  
Drug Designing ◽  
Generation Sequencing

Background: With the outbreak of high throughput next-generation sequencing (NGS), the biological research of drug discovery has been directed towards the oncology and infectious disease therapeutic areas, with extensive use in biopharmaceutical development and vaccine production. Method: In this review, an effort was made to address the basic background of NGS technologies, potential applications of NGS in drug designing. Our purpose is also to provide a brief introduction of various Nextgeneration sequencing techniques. Discussions: The high-throughput methods execute Large-scale Unbiased Sequencing (LUS) which comprises of Massively Parallel Sequencing (MPS) or NGS technologies. The Next geneinvolved necessarily executes Largescale Unbiased Sequencing (LUS) which comprises of MPS or NGS technologies. These are related terms that describe a DNA sequencing technology which has revolutionized genomic research. Using NGS, an entire human genome can be sequenced within a single day. Conclusion: Analysis of NGS data unravels important clues in the quest for the treatment of various lifethreatening diseases and other related scientific problems related to human welfare.

Nano Drug Delivery in Treatment of Oral Cancer, A Review of the Literature

2019 ◽  
Vol 20 (10) ◽  
pp. 1008-1017 ◽  
Author(s):  
Vandita Kakkar ◽  
Manoj Kumar Verma ◽  
Komal Saini ◽  
Indu Pal Kaur
Keyword(s):  
Drug Delivery ◽  
Oral Cancer ◽  
Treatment Options ◽  
Oral Submucous Fibrosis ◽  
Survival Rates ◽  
Cancer Therapeutics ◽  
Developed Countries ◽  
Current Treatment ◽  
Poor Overall Survival ◽  
Hereditary Disorders

Oral Cancer (OC) is a serious and growing problem which constitutes a huge burden on people in more and less economically developed countries alike. The scenario is clearly depicted from the increase in the expected number of new cases in the US diagnosed with OC from 49,670 people in 2016, to 49,750 cases in 2017. The situation is even more alarming in India, with 75,000 to 80,000 new cases being reported every year, thus making it the OC capital of the world. Leukoplakia, erythroplakia, oral lichen planus, oral submucous fibrosis, discoid lupus erythmatosus, hereditary disorders such as dyskeratosis congenital and epidermolisys bullosa are highlighted by WHO expert working group as the predisposing factors increasing the risk of OC. Consumption of tobacco and alcohol, genetic factors, and human papilloma virus are assigned as the factors contributing to the aetiology of OC. On the other hand, pathogenesis of OC involves not only apoptosis but also pain, inflammation and oxidative stress. Inspite of current treatment options (surgery, radiotherapy, and chemotherapy), OC is often associated with recurrence and formation of secondary primary tumours resulting in poor overall survival rates (∼50%). The intervention of nano technology-based drug delivery systems as therapeutics for cancers is often viewed as a cutting edge for technologists. Though ample literature on the usefulness of nano-coutured cancer therapeutics, rarely any product is in pipeline. Yet, despite all the hype about nanotechnology, there are few ongoing trials. This review discusses the current and future trends of nano-based drug delivery for the treatment of OC.

The Influence of Memory-Aware Computation on Distributed BLAST

2019 ◽  
Vol 14 (2) ◽  
pp. 157-163
Author(s):  
Majid Hajibaba ◽  
Mohsen Sharifi ◽  
Saeid Gorgin
Keyword(s):  
Search Time ◽  
Genomic Research ◽  
Local Alignment ◽  
Negative Effects ◽  
Sequencing Technologies ◽  
Percent Improvement ◽  
Fast Processing ◽  
Search Tool ◽  
Memory Awareness ◽  
Generation Sequencing

Background: One of the pivotal challenges in nowadays genomic research domain is the fast processing of voluminous data such as the ones engendered by high-throughput Next-Generation Sequencing technologies. On the other hand, BLAST (Basic Local Alignment Search Tool), a longestablished and renowned tool in Bioinformatics, has shown to be incredibly slow in this regard. Objective: To improve the performance of BLAST in the processing of voluminous data, we have applied a novel memory-aware technique to BLAST for faster parallel processing of voluminous data. Method: We have used a master-worker model for the processing of voluminous data alongside a memory-aware technique in which the master partitions the whole data in equal chunks, one chunk for each worker, and consequently each worker further splits and formats its allocated data chunk according to the size of its memory. Each worker searches every split data one-by-one through a list of queries. Results: We have chosen a list of queries with different lengths to run insensitive searches in a huge database called UniProtKB/TrEMBL. Our experiments show 20 percent improvement in performance when workers used our proposed memory-aware technique compared to when they were not memory aware. Comparatively, experiments show even higher performance improvement, approximately 50 percent, when we applied our memory-aware technique to mpiBLAST. Conclusion: We have shown that memory-awareness in formatting bulky database, when running BLAST, can improve performance significantly, while preventing unexpected crashes in low-memory environments. Even though distributed computing attempts to mitigate search time by partitioning and distributing database portions, our memory-aware technique alleviates negative effects of page-faults on performance.

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