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Metabolomics approach reveals effects of antihypertensives and lipid-lowering drugs on the human metabolism

Overview of attention for article published in European Journal of Epidemiology, May 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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3 news outlets
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2 X users

Citations

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68 Dimensions

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82 Mendeley
Title
Metabolomics approach reveals effects of antihypertensives and lipid-lowering drugs on the human metabolism
Published in
European Journal of Epidemiology, May 2014
DOI 10.1007/s10654-014-9910-7
Pubmed ID
Authors

Elisabeth Altmaier, Gisela Fobo, Margit Heier, Barbara Thorand, Christine Meisinger, Werner Römisch-Margl, Melanie Waldenberger, Christian Gieger, Thomas Illig, Jerzy Adamski, Karsten Suhre, Gabi Kastenmüller

Abstract

The mechanism of antihypertensive and lipid-lowering drugs on the human organism is still not fully understood. New insights on the drugs' action can be provided by a metabolomics-driven approach, which offers a detailed view of the physiological state of an organism. Here, we report a metabolome-wide association study with 295 metabolites in human serum from 1,762 participants of the KORA F4 (Cooperative Health Research in the Region of Augsburg) study population. Our intent was to find variations of metabolite concentrations related to the intake of various drug classes and--based on the associations found--to generate new hypotheses about on-target as well as off-target effects of these drugs. In total, we found 41 significant associations for the drug classes investigated: For beta-blockers (11 associations), angiotensin-converting enzyme (ACE) inhibitors (four assoc.), diuretics (seven assoc.), statins (ten assoc.), and fibrates (nine assoc.) the top hits were pyroglutamine, phenylalanylphenylalanine, pseudouridine, 1-arachidonoylglycerophosphocholine, and 2-hydroxyisobutyrate, respectively. For beta-blockers we observed significant associations with metabolite concentrations that are indicative of drug side-effects, such as increased serotonin and decreased free fatty acid levels. Intake of ACE inhibitors and statins associated with metabolites that provide insight into the action of the drug itself on its target, such as an association of ACE inhibitors with des-Arg(9)-bradykinin and aspartylphenylalanine, a substrate and a product of the drug-inhibited ACE. The intake of statins which reduce blood cholesterol levels, resulted in changes in the concentration of metabolites of the biosynthesis as well as of the degradation of cholesterol. Fibrates showed the strongest association with 2-hydroxyisobutyrate which might be a breakdown product of fenofibrate and, thus, a possible marker for the degradation of this drug in the human organism. The analysis of diuretics showed a heterogeneous picture that is difficult to interpret. Taken together, our results provide a basis for a deeper functional understanding of the action and side-effects of antihypertensive and lipid-lowering drugs in the general population.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 2 2%
Netherlands 1 1%
Germany 1 1%
Spain 1 1%
Japan 1 1%
Unknown 76 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Student > Bachelor 12 15%
Researcher 11 13%
Student > Master 9 11%
Other 6 7%
Other 14 17%
Unknown 13 16%
Readers by discipline Count As %
Medicine and Dentistry 17 21%
Agricultural and Biological Sciences 12 15%
Biochemistry, Genetics and Molecular Biology 11 13%
Pharmacology, Toxicology and Pharmaceutical Science 7 9%
Chemistry 5 6%
Other 12 15%
Unknown 18 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 27 June 2019.
All research outputs
#1,321,290
of 22,755,127 outputs
Outputs from European Journal of Epidemiology
#191
of 1,618 outputs
Outputs of similar age
#14,143
of 227,074 outputs
Outputs of similar age from European Journal of Epidemiology
#8
of 31 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one has done well, scoring higher than 88% 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 227,074 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 31 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 74% of its contemporaries.