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Application of metabolomics to drug discovery and understanding the mechanisms of action of medicinal plants with anti‐tuberculosis activity

Overview of attention for article published in Clinical and Translational Medicine, October 2018
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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106 Mendeley
Title
Application of metabolomics to drug discovery and understanding the mechanisms of action of medicinal plants with anti‐tuberculosis activity
Published in
Clinical and Translational Medicine, October 2018
DOI 10.1186/s40169-018-0208-3
Pubmed ID
Authors

Naasson Tuyiringire, Deusdedit Tusubira, Jean-Pierre Munyampundu, Casim Umba Tolo, Claude M. Muvunyi, Patrick Engeu Ogwang

Abstract

Human tuberculosis (TB) is amongst the oldest and deadliest human bacterial diseases that pose major health, social and economic burden at a global level. Current regimens for TB treatment are lengthy, expensive and ineffective to emerging drug resistant strains. Thus, there is an urgent need for identification and development of novel TB drugs and drug regimens with comprehensive and specific mechanisms of action. Many medicinal plants are traditionally used for TB treatment. While some of their phytochemical composition has been elucidated, their mechanisms of action are not well understood. Insufficient knowledge on Mycobacterium tuberculosis (M.tb) biology and the complex nature of its infection limit the effectiveness of current screening-based methods used for TB drug discovery. Nonetheless, application of metabolomics tools within the 'omics' approaches, could provide an alternative method of elucidating the mechanism of action of medicinal plants. Metabolomics aims at high throughput detection, quantification and identification of metabolites in biological samples. Changes in the concentration of specific metabolites in a biological sample indicate changes in the metabolic pathways. In this paper review and discuss novel methods that involve application of metabolomics to drug discovery and the understanding of mechanisms of action of medicinal plants with anti-TB activity. Current knowledge on TB infection, anti-TB drugs and mechanisms of action are also included. We further highlight metabolism of M. tuberculosis and the potential drug targets, as well as current approaches in the development of anti-TB drugs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 21%
Student > Bachelor 16 15%
Student > Master 11 10%
Researcher 9 8%
Lecturer 5 5%
Other 16 15%
Unknown 27 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 17%
Agricultural and Biological Sciences 10 9%
Chemistry 10 9%
Pharmacology, Toxicology and Pharmaceutical Science 9 8%
Medicine and Dentistry 6 6%
Other 23 22%
Unknown 30 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2018.
All research outputs
#15,175,718
of 25,385,509 outputs
Outputs from Clinical and Translational Medicine
#433
of 1,060 outputs
Outputs of similar age
#185,436
of 354,551 outputs
Outputs of similar age from Clinical and Translational Medicine
#3
of 9 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,551 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.