Dynamic patterns of postprandial metabolic responses to three dietary challenges Article Swipe
Patrick Weinisch
,
Jarlei Fiamoncini
,
Daniela Schranner
,
Johannes Raffler
,
Thomas Skurk
,
Manuela J. Rist
,
Werner Römisch‐Margl
,
Cornelia Prehn
,
Jerzy Adamski
,
Hans Hauner
,
Hannelore Daniel
,
Karsten Suhre
,
Gabi Kastenmüller
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fnut.2022.933526
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fnut.2022.933526
Food intake triggers extensive changes in the blood metabolome. The kinetics of these changes depend on meal composition and on intrinsic, health-related characteristics of each individual, making the assessment of changes in the postprandial metabolome an opportunity to assess someone's metabolic status. To enable the usage of dietary challenges as diagnostic tools, profound knowledge about changes that occur in the postprandial period in healthy individuals is needed. In this study, we characterize the time-resolved changes in plasma levels of 634 metabolites in response to an oral glucose tolerance test (OGTT), an oral lipid tolerance test (OLTT), and a mixed meal (SLD) in healthy young males ( n = 15). Metabolite levels for samples taken at different time points (20 per individual) during the challenges were available from targeted (132 metabolites) and non-targeted (502 metabolites) metabolomics. Almost half of the profiled metabolites ( n = 308) showed a significant change in at least one challenge, thereof 111 metabolites responded exclusively to one particular challenge. Examples include azelate, which is linked to ω-oxidation and increased only in OLTT, and a fibrinogen cleavage peptide that has been linked to a higher risk of cardiovascular events in diabetes patients and increased only in OGTT, making its postprandial dynamics a potential target for risk management. A pool of 89 metabolites changed their plasma levels during all three challenges and represents the core postprandial response to food intake regardless of macronutrient composition. We used fuzzy c-means clustering to group these metabolites into eight clusters based on commonalities of their dynamic response patterns, with each cluster following one of four primary response patterns: (i) “decrease-increase” (valley-like) with fatty acids and acylcarnitines indicating the suppression of lipolysis, (ii) “increase-decrease” (mountain-like) including a cluster of conjugated bile acids and the glucose/insulin cluster, (iii) “steady decrease” with metabolites reflecting a carryover from meals prior to the study, and (iv) “mixed” decreasing after the glucose challenge and increasing otherwise. Despite the small number of subjects, the diversity of the challenges and the wealth of metabolomic data make this study an important step toward the characterization of postprandial responses and the identification of markers of metabolic processes regulated by food intake.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fnut.2022.933526
- https://www.frontiersin.org/articles/10.3389/fnut.2022.933526/pdf
- OA Status
- gold
- Cited By
- 16
- References
- 73
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297011334
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4297011334Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fnut.2022.933526Digital Object Identifier
- Title
-
Dynamic patterns of postprandial metabolic responses to three dietary challengesWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-22Full publication date if available
- Authors
-
Patrick Weinisch, Jarlei Fiamoncini, Daniela Schranner, Johannes Raffler, Thomas Skurk, Manuela J. Rist, Werner Römisch‐Margl, Cornelia Prehn, Jerzy Adamski, Hans Hauner, Hannelore Daniel, Karsten Suhre, Gabi KastenmüllerList of authors in order
- Landing page
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https://doi.org/10.3389/fnut.2022.933526Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fnut.2022.933526/pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fnut.2022.933526/pdfDirect OA link when available
- Concepts
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Postprandial, Metabolome, Metabolite, Metabolomics, Meal, Biology, Physiology, Internal medicine, Area under the curve, Clinical nutrition, Specific dynamic action, Endocrinology, Medicine, Diabetes mellitus, BioinformaticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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16Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 7, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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73Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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