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Metabolomics and metabolic pathway networks from human colorectal cancers, adjacent mucosa, and stool

Overview of attention for article published in Cancer & Metabolism, June 2016
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3 tweeters

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81 Dimensions

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295 Mendeley
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Title
Metabolomics and metabolic pathway networks from human colorectal cancers, adjacent mucosa, and stool
Published in
Cancer & Metabolism, June 2016
DOI 10.1186/s40170-016-0151-y
Pubmed ID
Authors

Dustin G. Brown, Sangeeta Rao, Tiffany L. Weir, Joanne O’Malia, Marlon Bazan, Regina J. Brown, Elizabeth P. Ryan

Abstract

Colorectal cancers (CRC) are associated with perturbations in cellular amino acids, nucleotides, pentose-phosphate pathway carbohydrates, and glycolytic, gluconeogenic, and tricarboxylic acid intermediates. A non-targeted global metabolome approach was utilized for exploring human CRC, adjacent mucosa, and stool. In this pilot study, we identified metabolite profile differences between CRC and adjacent mucosa from patients undergoing colonic resection. Metabolic pathway analyses further revealed relationships between complex networks of metabolites. Seventeen CRC patients participated in this pilot study and provided CRC, adjacent mucosa ~10 cm proximal to the tumor, and stool. Metabolomes were analyzed by gas chromatography-mass spectrometry (GC/MS) and ultra-performance liquid chromatography-mass spectrometry (UPLC-MS/MS). All of the library standard identifications were confirmed and further analyzed via MetaboLync(TM) for metabolic network interactions. There were a total of 728 distinct metabolites identified from colonic tissue and stool matrices. Nineteen metabolites significantly distinguished CRC from adjacent mucosa in our patient-matched cohort. Glucose-6-phosphate and fructose-6-phosphate demonstrated 0.64-fold and 0.75-fold lower expression in CRC compared to mucosa, respectively, whereas isobar: betaine aldehyde, N-methyldiethanolamine, and adenylosuccinate had 2.68-fold and 1.88-fold higher relative abundance in CRC. Eleven of the 19 metabolites had not previously been reported for CRC relevance. Metabolic pathway analysis revealed significant perturbations of short-chain fatty acid metabolism, fructose, mannose, and galactose metabolism, and glycolytic, gluconeogenic, and pyruvate metabolism. In comparison to the 500 stool metabolites identified from human CRC patients, only 215 of those stool metabolites were also detected in tissue. This CRC and stool metabolome investigation identified novel metabolites that may serve as key small molecules in CRC pathogenesis, confirmed the results from previously reported CRC metabolome studies, and showed networks for metabolic pathway aberrations. In addition, we found differences between the CRC and stool metabolomes. Stool metabolite profiles were limited for direct associations with CRC and adjacent mucosa, yet metabolic pathways were conserved across both matrices. Larger patient-matched CRC, adjacent non-cancerous colonic mucosa, and stool cohort studies for metabolite profiling are needed to validate these small molecule differences and metabolic pathway aberrations for clinical application to CRC control, treatment, and prevention.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
France 1 <1%
Germany 1 <1%
Unknown 292 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 88 30%
Student > Ph. D. Student 45 15%
Student > Master 34 12%
Researcher 27 9%
Student > Doctoral Student 12 4%
Other 30 10%
Unknown 59 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 60 20%
Agricultural and Biological Sciences 46 16%
Chemistry 27 9%
Medicine and Dentistry 21 7%
Engineering 17 6%
Other 53 18%
Unknown 71 24%

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 15 November 2018.
All research outputs
#8,432,664
of 14,579,947 outputs
Outputs from Cancer & Metabolism
#71
of 119 outputs
Outputs of similar age
#124,200
of 264,287 outputs
Outputs of similar age from Cancer & Metabolism
#1
of 2 outputs
Altmetric has tracked 14,579,947 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 119 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 264,287 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them