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Metabolomics and Its Application to Acute Lung Diseases

Overview of attention for article published in Frontiers in immunology, February 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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234 Mendeley
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Title
Metabolomics and Its Application to Acute Lung Diseases
Published in
Frontiers in immunology, February 2016
DOI 10.3389/fimmu.2016.00044
Pubmed ID
Authors

Kathleen A. Stringer, Ryan T. McKay, Alla Karnovsky, Bernadette Quémerais, Paige Lacy

Abstract

Metabolomics is a rapidly expanding field of systems biology that is gaining significant attention in many areas of biomedical research. Also known as metabonomics, it comprises the analysis of all small molecules or metabolites that are present within an organism or a specific compartment of the body. Metabolite detection and quantification provide a valuable addition to genomics and proteomics and give unique insights into metabolic changes that occur in tangent to alterations in gene and protein activity that are associated with disease. As a novel approach to understanding disease, metabolomics provides a "snapshot" in time of all metabolites present in a biological sample such as whole blood, plasma, serum, urine, and many other specimens that may be obtained from either patients or experimental models. In this article, we review the burgeoning field of metabolomics in its application to acute lung diseases, specifically pneumonia and acute respiratory disease syndrome (ARDS). We also discuss the potential applications of metabolomics for monitoring exposure to aerosolized environmental toxins. Recent reports have suggested that metabolomics analysis using nuclear magnetic resonance (NMR) and mass spectrometry (MS) approaches may provide clinicians with the opportunity to identify new biomarkers that may predict progression to more severe disease, such as sepsis, which kills many patients each year. In addition, metabolomics may provide more detailed phenotyping of patient heterogeneity, which is needed to achieve the goal of precision medicine. However, although several experimental and clinical metabolomics studies have been conducted assessing the application of the science to acute lung diseases, only incremental progress has been made. Specifically, little is known about the metabolic phenotypes of these illnesses. These data are needed to substantiate metabolomics biomarker credentials so that clinicians can employ them for clinical decision-making and investigators can use them to design clinical trials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Brazil 1 <1%
Unknown 232 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 18%
Student > Ph. D. Student 39 17%
Student > Master 26 11%
Student > Bachelor 16 7%
Student > Doctoral Student 12 5%
Other 42 18%
Unknown 57 24%
Readers by discipline Count As %
Medicine and Dentistry 50 21%
Biochemistry, Genetics and Molecular Biology 34 15%
Agricultural and Biological Sciences 30 13%
Chemistry 14 6%
Immunology and Microbiology 13 6%
Other 25 11%
Unknown 68 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 December 2019.
All research outputs
#7,968,106
of 25,394,764 outputs
Outputs from Frontiers in immunology
#9,552
of 31,554 outputs
Outputs of similar age
#103,312
of 312,130 outputs
Outputs of similar age from Frontiers in immunology
#44
of 144 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 68% 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 312,130 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.