↓ Skip to main content

Analysis of cerebrospinal fluid metabolites in patients with primary or metastatic central nervous system tumors

Overview of attention for article published in Acta Neuropathologica Communications, August 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
5 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Analysis of cerebrospinal fluid metabolites in patients with primary or metastatic central nervous system tumors
Published in
Acta Neuropathologica Communications, August 2018
DOI 10.1186/s40478-018-0588-z
Pubmed ID
Authors

Leomar Y. Ballester, Guangrong Lu, Soheil Zorofchian, Venkatrao Vantaku, Vasanta Putluri, Yuanqing Yan, Octavio Arevalo, Ping Zhu, Roy F. Riascos, Arun Sreekumar, Yoshua Esquenazi, Nagireddy Putluri, Jay-Jiguang Zhu

Abstract

Cancer cells have altered cellular metabolism. Mutations in genes associated with key metabolic pathways (e.g., isocitrate dehydrogenase 1 and 2, IDH1/IDH2) are important drivers of cancer, including central nervous system (CNS) tumors. Therefore, we hypothesized that the abnormal metabolic state of CNS cancer cells leads to abnormal levels of metabolites in the CSF, and different CNS cancer types are associated with specific changes in the levels of CSF metabolites. To test this hypothesis, we used mass spectrometry to analyze 129 distinct metabolites in CSF samples from patients without a history of cancer (n = 8) and with a variety of CNS tumor types (n = 23) (i.e., glioma IDH-mutant, glioma-IDH wildtype, metastatic lung cancer and metastatic breast cancer). Unsupervised hierarchical clustering analysis shows tumor-specific metabolic signatures that facilitate differentiation of tumor type from CSF analysis. We identified differences in the abundance of 43 metabolites between CSF from control patients and the CSF of patients with primary or metastatic CNS tumors. Pathway analysis revealed alterations in various metabolic pathways (e.g., glycine, choline and methionine degradation, dipthamide biosynthesis and glycolysis pathways, among others) between IDH-mutant and IDH-wildtype gliomas. Moreover, patients with IDH-mutant gliomas demonstrated higher levels of D-2-hydroxyglutarate in the CSF, in comparison to patients with other tumor types, or controls. This study demonstrates that analysis of CSF metabolites can be a clinically useful tool for diagnosing and monitoring patients with primary or metastatic CNS tumors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Student > Master 5 9%
Professor > Associate Professor 5 9%
Student > Bachelor 5 9%
Other 4 7%
Other 9 16%
Unknown 20 35%
Readers by discipline Count As %
Medicine and Dentistry 11 19%
Biochemistry, Genetics and Molecular Biology 6 11%
Neuroscience 3 5%
Chemistry 3 5%
Nursing and Health Professions 3 5%
Other 10 18%
Unknown 21 37%
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 07 June 2019.
All research outputs
#14,424,488
of 23,102,082 outputs
Outputs from Acta Neuropathologica Communications
#1,088
of 1,398 outputs
Outputs of similar age
#188,241
of 335,278 outputs
Outputs of similar age from Acta Neuropathologica Communications
#26
of 36 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,398 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one is in the 19th percentile – i.e., 19% 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 335,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.