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Mathematical Modeling of Glutathione Status in Type 2 Diabetics with Vitamin B12 Deficiency

Overview of attention for article published in Frontiers in Cell and Developmental Biology, March 2016
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Title
Mathematical Modeling of Glutathione Status in Type 2 Diabetics with Vitamin B12 Deficiency
Published in
Frontiers in Cell and Developmental Biology, March 2016
DOI 10.3389/fcell.2016.00016
Pubmed ID
Authors

Varun Karamshetty, Jhankar D. Acharya, Saroj Ghaskadbi, Pranay Goel

Abstract

Deficiencies in vitamin B12 and glutathione (GSH) are associated with a number of diseases including type 2 diabetes mellitus. We tested newly diagnosed Indian diabetic patients for correlation between their vitamin B12 and GSH, and found it to be weak. Here we seek to examine the theoretical dependence of GSH on vitamin B12 with a mathematical model of 1-carbon metabolism due to Reed and co-workers. We study the methionine cycle of the Reed-Nijhout model by developing a simple "stylized model" that captures its essential topology and whose kinetics are analytically tractable. The analysis shows-somewhat counter-intuitively-that the flux responsible for the homeostasis of homocysteine is, in fact, peripheral to the methionine cycle. Elevation of homocysteine arises from reduced activity of methionine synthase, a vitamin B12-dependent enzyme, however, this does not increase GSH biosynthesis. The model suggests that the lack of vitamin B12-GSH correlation is explained by suppression of activity in the trans-sulfuration pathway that limits the synthesis of cysteine and GSH from homocysteine. We hypothesize this "cysteine-block" is an essential consequence of vitamin B12 deficiency. It can be clinically relevant to appreciate that these secondary effects of vitamin B12 deficiency could be central to its pathophysiology.

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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 %
India 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 6 16%
Student > Bachelor 5 13%
Student > Doctoral Student 2 5%
Student > Master 2 5%
Other 5 13%
Unknown 10 26%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Agricultural and Biological Sciences 4 11%
Biochemistry, Genetics and Molecular Biology 3 8%
Neuroscience 3 8%
Mathematics 2 5%
Other 7 18%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 April 2016.
All research outputs
#18,447,592
of 22,856,968 outputs
Outputs from Frontiers in Cell and Developmental Biology
#4,941
of 9,031 outputs
Outputs of similar age
#220,000
of 300,567 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#29
of 33 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,031 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.