Evidence map›Paper›PMID 34188726›Full record

ArticleThe EPMA journal2021

Metabo-tip: a metabolomics platform for lifestyle monitoring supporting the development of novel strategies in predictive, preventive and personalised medicine.

Julia Brunmair, Andrea Bileck, Thomas Stimpfl, Florian Raible, Giorgia Del Favero, Samuel M Meier-Menches, Christopher Gerner

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Article in The EPMA journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  10. A touch-based multimodal and cryptographic bio-human-machine interface.Proceedings of the National Academy of Sciences of the United States of America · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Julia BrunmairDepartment of Analytical Chemistry, Faculty of Chemistry, University Vienna, Vienna, Austria.
Andrea BileckDepartment of Analytical Chemistry, Faculty of Chemistry, University Vienna, Vienna, Austria.
Thomas StimpflJoint Metabolome Facility, University and Medical University of Vienna, Vienna, Austria.
Florian RaibleMax F. Perutz Laboratories, University of Vienna, Vienna, Austria.
Giorgia Del FaveroDepartment of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, Vienna, Austria.
Samuel M Meier-MenchesDepartment of Analytical Chemistry, Faculty of Chemistry, University Vienna, Vienna, Austria.
Christopher GernerDepartment of Analytical Chemistry, Faculty of Chemistry, University Vienna, Vienna, Austria.ORCID 0000-0003-4964-0642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsExposure to bioactive compounds from nutrition, pharmaceuticals, environmental contaminants or other lifestyle habits may affect the human organism. To gain insight into the effects of these influences, as well as the fundamental biochemical mechanisms behind them, individual molecular profiling seems to be a promising tool and may support the further development of predictive, preventive and personalised medicine.

methodsWe developed an assay, called metabo-tip for the analysis of sweat, collected from fingertips, using mass spectrometry-by far the most comprehensive and sensitive method for such analyses. To evaluate this assay, we exposed volunteers to various xenobiotics using standardised protocols and investigated their metabolic response.

resultsAs early as 15 min after the consumption of a cup of coffee, 50 g of dark chocolate or a serving of citrus fruits, significant changes in the sweat composition of the fingertips were observed, providing relevant information in regard to the ingested substances. This included not only health-promoting bioactive compounds but also potential hazardous substances. Furthermore, the identification of metabolites from orally ingested medications such as metamizole indicated the applicability of this assay to observe specific enzymatic processes in a personalised fashion. Remarkably, we found that the sweat composition fluctuated in a diurnal rhythm, supporting the hypothesis that the composition of sweat can be influenced by endogenous metabolic activities. This was further corroborated by the finding that histamine was significantly increased in the metabo-tip assay in individuals with allergic reactions.

conclusionMetabo-tip analysis may have a large number of practical applications due to its analytical power, non-invasive character and the potential of frequent sampling, especially regarding the individualised monitoring of specific lifestyle and influencing factors. The extraordinarily rich individualised metabolomics data provided by metabo-tip offer direct access to individual metabolic activities and will thus support predictive preventive personalised medicine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13167-021-00241-6.

Indexed as

ExposomicsHistamineIndividualised metabolomicsLifestyleMass spectrometryMetabo-tipMolecular patternsMulti-omicsPredictive preventive personalised medicine (PPPM)Risk assessmentSweatXenobiotics

Identifiers

PMID34188726
PMCPMC8192631

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.