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Comprehensive metabolic profiling of chronic low-grade inflammation among generally healthy individuals

Overview of attention for article published in BMC Medicine, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

news
1 news outlet
twitter
5 tweeters

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
98 Mendeley
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Title
Comprehensive metabolic profiling of chronic low-grade inflammation among generally healthy individuals
Published in
BMC Medicine, November 2017
DOI 10.1186/s12916-017-0974-6
Pubmed ID
Authors

Maik Pietzner, Anne Kaul, Ann-Kristin Henning, Gabi Kastenmüller, Anna Artati, Markus M. Lerch, Jerzy Adamski, Matthias Nauck, Nele Friedrich

Abstract

Inflammation occurs as an immediate protective response of the immune system to a harmful stimulus, whether locally confined or systemic. In contrast, a persisting, i.e., chronic, inflammatory state, even at a low-grade, is a well-known risk factor in the development of common diseases like diabetes or atherosclerosis. In clinical practice, laboratory markers like high-sensitivity C-reactive protein (hsCRP), white blood cell count (WBC), and fibrinogen, are used to reveal inflammatory processes. In order to gain a deeper insight regarding inflammation-related changes in metabolism, the present study assessed the metabolic patterns associated with alterations in inflammatory markers. Based on mass spectrometry and nuclear magnetic resonance spectroscopy we determined a comprehensive panel of 613 plasma and 587 urine metabolites among 925 apparently healthy individuals. Associations between inflammatory markers, namely hsCRP, WBC, and fibrinogen, and metabolite levels were tested by linear regression analyses controlling for common confounders. Additionally, we tested for a discriminative signature of an advanced inflammatory state using random forest analysis. HsCRP, WBC, and fibrinogen were significantly associated with 71, 20, and 19 plasma and 22, 3, and 16 urine metabolites, respectively. Identified metabolites were related to the bradykinin system, involved in oxidative stress (e.g., glutamine or pipecolate) or linked to the urea cycle (e.g., ornithine or citrulline). In particular, urine 3'-sialyllactose was found as a novel metabolite related to inflammation. Prediction of an advanced inflammatory state based solely on 10 metabolites was well feasible (median AUC: 0.83). Comprehensive metabolic profiling confirmed the far-reaching impact of inflammatory processes on human metabolism. The identified metabolites included not only those already described as immune-modulatory but also completely novel patterns. Moreover, the observed alterations provide molecular links to inflammation-associated diseases like diabetes or cardiovascular disorders.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 14%
Researcher 14 14%
Student > Bachelor 14 14%
Student > Master 14 14%
Student > Doctoral Student 9 9%
Other 16 16%
Unknown 17 17%
Readers by discipline Count As %
Medicine and Dentistry 22 22%
Immunology and Microbiology 9 9%
Agricultural and Biological Sciences 9 9%
Biochemistry, Genetics and Molecular Biology 8 8%
Sports and Recreations 5 5%
Other 23 23%
Unknown 22 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 22 November 2019.
All research outputs
#2,051,088
of 18,008,158 outputs
Outputs from BMC Medicine
#1,375
of 2,760 outputs
Outputs of similar age
#63,666
of 420,856 outputs
Outputs of similar age from BMC Medicine
#87
of 213 outputs
Altmetric has tracked 18,008,158 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,760 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. This one has gotten more attention than average, scoring higher than 50% 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 420,856 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 213 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 59% of its contemporaries.