scholarly journals Metabolic Profiling and Metabolites Fingerprints in Human Hypertension: Discovery and Potential

Metabolites ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 687
Author(s):  
John Oloche Onuh ◽  
Hongyu Qiu

Early detection of pathogenesis through biomarkers holds the key to controlling hypertension and preventing cardiovascular complications. Metabolomics profiling acts as a potent and high throughput tool offering new insights on disease pathogenesis and potential in the early diagnosis of clinical hypertension with a tremendous translational promise. This review summarizes the latest progress of metabolomics and metabolites fingerprints and mainly discusses the current trends in the application in clinical hypertension. We also discussed the associated mechanisms and pathways involved in hypertension’s pathogenesis and explored related research challenges and future perspectives. The information will improve our understanding of the development of hypertension and inspire the clinical application of metabolomics in hypertension and its associated cardiovascular complications.

2021 ◽  
pp. 174464
Author(s):  
Shadma Wahab ◽  
Mohammad Y. Alshahrani ◽  
M.D. Faruque Ahmad ◽  
Hashim Abbas

2014 ◽  
Vol 52 (8) ◽  
pp. 4669-4678 ◽  
Author(s):  
Hardeep S. Tuli ◽  
Prachi Chaudhary ◽  
Vikas Beniwal ◽  
Anil K. Sharma

Author(s):  
Safar Maghdid Asaad ◽  
Moayad Yousif Potrus ◽  
Kayhan Zrar Ghafoor ◽  
Halgurd S. Maghdid ◽  
Aos Mulahuwaish

Author(s):  
Iris Slutzky-Goldberg

Vital pulp therapy (VPT), including direct pulp capping, partial and cervical Pulpotomy, was suggested for the treatment of young teeth, with reversible or irreversible pulpitis [1]. Maintaining the vitality of immature teeth enables continued root development, maturogenesis, and a better prognosis


2013 ◽  
Vol 9 (2) ◽  
pp. 66-88 ◽  
Author(s):  
Alberto Abelló ◽  
Jérôme Darmont ◽  
Lorena Etcheverry ◽  
Matteo Golfarelli ◽  
Jose-Norberto Mazón ◽  
...  

Self-service business intelligence is about enabling non-expert users to make well-informed decisions by enriching the decision process with situational data, i.e., data that have a narrow focus on a specific business problem and, typically, a short lifespan for a small group of users. Often, these data are not owned and controlled by the decision maker; their search, extraction, integration, and storage for reuse or sharing should be accomplished by decision makers without any intervention by designers or programmers. The goal of this paper is to present the framework we envision to support self-service business intelligence and the related research challenges; the underlying core idea is the notion of fusion cubes, i.e., multidimensional cubes that can be dynamically extended both in their schema and their instances, and in which situational data and metadata are associated with quality and provenance annotations.


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