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Biochemical Characterization of Isoniazid-resistant Mycobacterium tuberculosis: Can the Analysis of Clonal Strains Reveal Novel Targetable Pathways?*

Overview of attention for article published in Molecular and Cellular Proteomics, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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4 news outlets
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16 X users

Citations

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19 Dimensions

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38 Mendeley
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Title
Biochemical Characterization of Isoniazid-resistant Mycobacterium tuberculosis: Can the Analysis of Clonal Strains Reveal Novel Targetable Pathways?*
Published in
Molecular and Cellular Proteomics, May 2018
DOI 10.1074/mcp.ra118.000821
Pubmed ID
Authors

Luisa Maria Nieto R, Carolina Mehaffy, M Nurul Islam, Bryna Fitzgerald, John Belisle, Jessica Prenni, Karen Dobos

Abstract

Tuberculosis (TB) continues to be an important public health threat worldwide, due in part to drug resistant Mycobacterium tuberculosis (Mtb) strains. The United States recently reported a shortage of isoniazid (INH) which could drive higher INH resistant rates. Changes in the Mtb proteome before and after acquisition of INH resistance in a clean genetic background remain understudied and may elucidate alternate drug targets. Here, we focused on Mtb clonal strains to characterize the consequences of INH resistance on mycobacterial metabolism. Proteomic analysis was conducted by liquid-chromatography tandem mass spectrometry (LC-MS/MS) of cellular and secreted fractions, followed by a normalized spectral counting (NSAF) analysis (Data are available via ProteomeXchange with identifier PXD009549). Two different Mtb clonal pairs representing a specific genetic lineage (one clinical and one generated in the laboratory), but sharing a katG mutation associated with INH resistance, were used in our analysis. Overall, we found 26 Mtb proteins with altered abundances after acquisition of INH resistance across both Mtb genetic lineages studied. These proteins were involved in ATP synthesis, lipid metabolism, regulatory events, and virulence, detoxification and adaptation processes. Proteomic findings were validated by western blot analyses whenever possible. Mycolic acid (MA) analysis through LC/MS in the clonal Mtb pairs did not reveal a common trend in the alteration of these fatty acids across both INHr strains, but revealed a significant reduction in levels of the two more abundant α-MA features in the clinical INHr strain. Interestingly, the clinical clonal pair demonstrated more variation in the abundance of the proteins involved in the FAS II pathway. Together, the proteomic and lipidomic data highlight the identification of potential drug targets such as alternative lipid biosynthetic pathways that may be exploited to combat clinically relevant Mtb INHr strains.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Researcher 7 18%
Student > Doctoral Student 4 11%
Student > Ph. D. Student 4 11%
Professor 2 5%
Other 4 11%
Unknown 9 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 18%
Agricultural and Biological Sciences 5 13%
Medicine and Dentistry 4 11%
Nursing and Health Professions 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 6 16%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 11 March 2020.
All research outputs
#1,063,502
of 25,382,440 outputs
Outputs from Molecular and Cellular Proteomics
#75
of 3,221 outputs
Outputs of similar age
#23,138
of 344,685 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#6
of 42 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 97% 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 344,685 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.