Evidence map›Paper›PMID 30535088›Full record

ArticleThe American journal of clinical nutrition2018

The complex human urinary sugar profile: determinants revealed in the cross-sectional KarMeN study.

Carina I Mack, Christoph H Weinert, Björn Egert, Paola G Ferrario, Achim Bub, Ingrid Hoffmann, Bernhard Watzl, Hannelore Daniel, Sabine E Kulling

Open access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Carina I MackDepartments of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Karlsruhe, Germany.
Christoph H WeinertDepartments of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Karlsruhe, Germany.
Björn EgertDepartments of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Karlsruhe, Germany.
Paola G FerrarioDepartments of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany.
Achim BubDepartments of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany.
Ingrid HoffmannDepartments of Nutritional Behaviour, Max Rubner-Institut, Karlsruhe, Germany.
Bernhard WatzlDepartments of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany.
Hannelore DanielDepartment of Food and Nutrition, Technical University of Munich, Freising-Weihenstephan, Germany.
Sabine E KullingDepartments of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Karlsruhe, Germany.
Max Rubner Institut · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although sugars and sugar derivatives are an important class of metabolites involved in many physiologic processes, there is limited knowledge on their occurrence and pattern in biofluids. Objective: Our aim was to obtain a comprehensive urinary sugar profile of healthy participants and to demonstrate the wide applicability and usefulness of this sugar profiling approach for nutritional as well as clinical studies. Design: In the cross-sectional KarMeN study, the 24-h urine samples of 301 healthy participants on an unrestricted diet, assessed via a 24-h recall, were analyzed by a newly developed semitargeted gas chromatography-mass spectrometry (GC-MS) profiling method that enables the detection of known and unknown sugar compounds. Statistical analyses were performed with respect to associations of sex and diet with the urinary sugar profile. Results: In total, 40 known and 15 unknown sugar compounds were detected in human urine, ranging from mono- and disaccharides, polyols, and sugar acids to currently unknown sugar-like compounds. A number of rarely analyzed sugars were found in urine samples. Maltose was found in statistically higher concentrations in the urine of women compared with men and was also associated with menopausal status. Further, a number of individual sugar compounds associated with the consumption of specific foods, such as avocado, or food groups, such as alcoholic beverages and dairy products, were identified. Conclusions: We here provide data on the complex nature of the sugar profile in human urine, of which some compounds may have the potential to serve as dietary markers or early disease biomarkers. Thus, comprehensive urinary sugar profiling not only has the potential to increase our knowledge of host sugar metabolism, but can also reveal new dietary markers after consumption of individual food items, and may lead to the identification of early disease biomarkers in the future. The KarMeN study was registered at drks.de as DRKS00004890.

Indexed as

AdultAlcoholic BeveragesBiomarkersCarbohydratesCross-Sectional StudiesDietDiet RecordsFemaleFood AnalysisFruitGas Chromatography-Mass SpectrometryGermanyHumansMaleMiddle AgedSex FactorsBiomarkersCarbohydratesSugars

Identifiers

PMID30535088
PMCPMC6134285
OpenAlexW2892241364

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.