Metabolomics data complemented drug use information in epidemiological databases: pilot study of potential kidney donors

Klont, Frank; Kremer, Daan; Neto, Antonio W. Gomes; Berger, Stefan P.; Touw, Daan; Bonner, Ron; Bakker, Stephan J. L.; Hopfgartner, Gérard

doi:10.1016/j.jclinepi.2021.02.008

Cited by 11 publications

(12 citation statements)

References 30 publications

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“…Blood was drawn on the day of the study visit after a fasting period of 8 to 12 h. Urine was collected by participants starting 24 h prior to the study visit, following strict instructions as previously described in detail [ 28 ]. Urinary boron concentrations were determined using inductively coupled plasma mass spectrometry (ICP-MS), as summarized in Supplementary Table 1.…”

Section: Methodsmentioning

confidence: 99%

Boron Intake and decreased risk of mortality in kidney transplant recipients

Kremer

Post

Seidel³

et al. 2021

Eur J Nutr

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Purpose In a search for potentially modifiable factors to improve long-term outcome among kidney transplant recipients (KTR), we hypothesized that boron exposure is associated with improved long-term outcome in KTR. Methods We determined 24 h urinary boron excretion using inductively coupled plasma mass spectrometry as a measure of boron exposure in 693 stable KTR (57% male, mean age 53y), enrolled in the TransplantLines Food and Nutrition Biobank and Cohort Study. Dietary intake was assessed using validated food-frequency questionnaires. Results Linear regression analyses showed that dietary intake of fruit, wine and nuts were key determinants of boron excretion. In addition, boron excretion was negatively correlated with homocysteine and inflammatory parameters. In total, 73 (32%), 47 (20%) and 30 (13%) KTR died among the lowest, middle and highest tertiles of 24 h urinary boron excretion, respectively (Plog-rank < 0.001). Cox regression analyses showed that high boron excretion was strongly associated with lower risk of mortality, independent of age, sex, estimated glomerular filtration rate and history of cardiovascular disease (HR per doubling: 0.51, 95% CI: 0.40 to 0.66, P < 0.001). Conclusion Boron may be an overlooked target to improve long-term survival among KTR and potentially other patients, likely through pathways other than inflammation or the methionine-homocysteine cycle that were previously suggested. Interventional trials are warranted to confirm the potential of dietary boron supplementation in KTR and other patient populations.

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Section: Methodsmentioning

confidence: 99%

Boron Intake and decreased risk of mortality in kidney transplant recipients

Kremer

Post

Seidel³

et al. 2021

Eur J Nutr

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“…Regarding medicine, metabolomics can be useful to identify the mode of action of new drugs by analyzing biochemical pathways and, in conjunction with complementary assays, identify therapeutic potential [ 18 ]. It can also be applied to understand how diseases and/or health problems act on organisms, the effects of drug use, and drug development and to identify responsible biomarkers [ 19 ]. It is important to note that the information generated through research contributes to the complementation of medicine and related areas; epidemiological databases are just one example [ 19 ].…”

Section: Metabolomic Studiesmentioning

confidence: 99%

“…It can also be applied to understand how diseases and/or health problems act on organisms, the effects of drug use, and drug development and to identify responsible biomarkers [ 19 ]. It is important to note that the information generated through research contributes to the complementation of medicine and related areas; epidemiological databases are just one example [ 19 ].…”

Section: Metabolomic Studiesmentioning

confidence: 99%

“…Metabolites can be classified spatially as endogenous and exogenous, the former being derived from biochemical processes (e.g., carbohydrates, lipids, amino acids, fatty acids, or vitamins, polyphenols, and alkaloids) and the latter from xenobiotic metabolites (e.g., drugs, pesticides, pollutants, toxins, and food constituents). Another important classification is the provenance of the metabolite in relation to the metabolism that produces them; it is divided into primary and secondary [ 19 , 29 ].…”

Section: Metabolomic Studies In Foodsmentioning

confidence: 99%

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Food Metabolites as Tools for Authentication, Processing, and Nutritive Value Assessment

Pedrosa

Lima

Heleno

et al. 2021

Foods

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Secondary metabolites are molecules with unlimited applications that have been gaining importance in various industries and studied from many angles. They are mainly used for their bioactive capabilities, but due to the improvement of sensibility in analytical chemistry, they are also used for authentication and as a quality control parameter for foods, further allowing to help avoid food adulteration and food fraud, as well as helping understand the nutritional value of foods. This manuscript covers the examples of secondary metabolites that have been used as qualitative and authentication molecules in foods, from production, through processing and along their shelf-life. Furthermore, perspectives of analytical chemistry and their contribution to metabolite detection and general perspectives of metabolomics are also discussed.

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“…In this context, non-targeted metabolomics, designed for the broad characterization of ideally all relevant small molecules in a biological sample, can help to answer the question of how well self-reported and blood-detected drug uses match. Indeed, a pilot study conducted on 83 subjects deployed metabolomics to test whether questionnaire-derived medication use could be verified using metabolomics readouts from urine [ 18 ]. The study showed that molecular evidence for many classes of medication could be obtained from urine metabolic profiles.…”

Section: Introductionmentioning

confidence: 99%

Matching Drug Metabolites from Non-Targeted Metabolomics to Self-Reported Medication in the Qatar Biobank Study

et al. 2022

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Modern metabolomics platforms are able to identify many drug-related metabolites in blood samples. Applied to population-based biobank studies, the detection of drug metabolites can then be used as a proxy for medication use or serve as a validation tool for questionnaire-based health assessments. However, it is not clear how well detection of drug metabolites in blood samples matches information on self-reported medication provided by study participants. Here, we curate free-text responses to a drug-usage questionnaire from 6000 participants of the Qatar Biobank (QBB) using standardized WHO Anatomical Therapeutic Chemical (ATC) Classification System codes and compare the occurrence of these ATC terms to the detection of drug-related metabolites in matching blood plasma samples from 2807 QBB participants for which we collected non-targeted metabolomics data. We found that the detection of 22 drug-related metabolites significantly associated with the self-reported use of the corresponding medication. Good agreement of self-reported medication with non-targeted metabolomics was observed, with self-reported drugs and their metabolites being detected in a same blood sample in 79.4% of the cases. On the other hand, only 29.5% of detected drug metabolites matched to self-reported medication. Possible explanations for differences include under-reporting of over-the-counter medications from the study participants, such as paracetamol, misannotation of low abundance metabolites, such as metformin, and inability of the current methods to detect them. Taken together, our study provides a broad real-world view of what to expect from large non-targeted metabolomics measurements in population-based biobank studies and indicates areas where further improvements can be made.

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Metabolomics data complemented drug use information in epidemiological databases: pilot study of potential kidney donors

Cited by 11 publications

References 30 publications

Boron Intake and decreased risk of mortality in kidney transplant recipients

Boron Intake and decreased risk of mortality in kidney transplant recipients

Food Metabolites as Tools for Authentication, Processing, and Nutritive Value Assessment

Matching Drug Metabolites from Non-Targeted Metabolomics to Self-Reported Medication in the Qatar Biobank Study

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