Dynamics and determinants of human plasma bile acid profiles during dietary challenges Article Swipe
Jarlei Fiamoncini
,
Manuela J. Rist
,
Lara Frommherz
,
Pieter Giesbertz
,
Birgit Pfrang
,
Werner Kremer
,
Fritz Huber
,
Gabi Kastenmüller
,
Thomas Skurk
,
Hans Hauner
,
Karsten Suhre
,
Hannelore Daniel
,
Sabine E. Kulling
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fnut.2022.932937
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fnut.2022.932937
In recent years, bile acids (BA) have received great interest due to their pleiotropic biological activity and the presence of plasma membrane-bound and nuclear receptors. Moreover, BA in blood have been identified by metabolite screening approaches as biomarkers that are associated with various diseases and even with a human longevity phenotype. With the growing interest in the microbiota contribution to the health-disease trajectory, BA that undergo deconjugation and other modifications by bacteria in the large intestine have become a prime target as a microbiome diversity modifier. We here profiled BA by a quantitative and a semiquantitative approach in 15 healthy and phenotypically very similar young individuals for over a 36-h fasting period, an oral glucose tolerance test (OGTT), and an oral lipid tolerance test (OLTT). We demonstrate a remarkable heterogeneity of the responses and describe the different dynamics of the plasma changes that likely originate from different routes by which BA enters the peripheral blood, and that may represent a direct secretion from the liver into the blood and a route that reaches the blood as a spill-over after passing from the gallbladder through the intestine and the portal system. We discuss the finding that an individual transport process involved in the passage of BA could be a critical determinant in the kinetics of plasma appearance and the overall phenotypic variability found.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fnut.2022.932937
- https://www.frontiersin.org/articles/10.3389/fnut.2022.932937/pdf
- OA Status
- gold
- Cited By
- 10
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4288077551
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4288077551Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fnut.2022.932937Digital Object Identifier
- Title
-
Dynamics and determinants of human plasma bile acid profiles during dietary challengesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-28Full publication date if available
- Authors
-
Jarlei Fiamoncini, Manuela J. Rist, Lara Frommherz, Pieter Giesbertz, Birgit Pfrang, Werner Kremer, Fritz Huber, Gabi Kastenmüller, Thomas Skurk, Hans Hauner, Karsten Suhre, Hannelore Daniel, Sabine E. KullingList of authors in order
- Landing page
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https://doi.org/10.3389/fnut.2022.932937Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fnut.2022.932937/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/fnut.2022.932937/pdfDirect OA link when available
- Concepts
-
Bile acid, Microbiome, Biology, Phenotype, Small intestine, Blood plasma, Metabolite, Internal medicine, Physiology, Endocrinology, Biochemistry, Medicine, Bioinformatics, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 5, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.overall | 218 |
| abstract_inverted_index.passage | 202 |
| abstract_inverted_index.passing | 179 |
| abstract_inverted_index.period, | 111 |
| abstract_inverted_index.process | 198 |
| abstract_inverted_index.reaches | 172 |
| abstract_inverted_index.similar | 103 |
| abstract_inverted_index.system. | 189 |
| abstract_inverted_index.through | 183 |
| abstract_inverted_index.undergo | 65 |
| abstract_inverted_index.various | 42 |
| abstract_inverted_index.activity | 15 |
| abstract_inverted_index.approach | 96 |
| abstract_inverted_index.bacteria | 71 |
| abstract_inverted_index.critical | 208 |
| abstract_inverted_index.describe | 134 |
| abstract_inverted_index.diseases | 43 |
| abstract_inverted_index.dynamics | 137 |
| abstract_inverted_index.interest | 9, 54 |
| abstract_inverted_index.involved | 199 |
| abstract_inverted_index.kinetics | 212 |
| abstract_inverted_index.presence | 18 |
| abstract_inverted_index.profiled | 88 |
| abstract_inverted_index.received | 7 |
| abstract_inverted_index.Moreover, | 25 |
| abstract_inverted_index.different | 136, 146 |
| abstract_inverted_index.diversity | 84 |
| abstract_inverted_index.intestine | 75, 185 |
| abstract_inverted_index.longevity | 49 |
| abstract_inverted_index.modifier. | 85 |
| abstract_inverted_index.originate | 144 |
| abstract_inverted_index.represent | 158 |
| abstract_inverted_index.responses | 132 |
| abstract_inverted_index.screening | 34 |
| abstract_inverted_index.secretion | 161 |
| abstract_inverted_index.tolerance | 115, 122 |
| abstract_inverted_index.transport | 197 |
| abstract_inverted_index.appearance | 215 |
| abstract_inverted_index.approaches | 35 |
| abstract_inverted_index.associated | 40 |
| abstract_inverted_index.biological | 14 |
| abstract_inverted_index.biomarkers | 37 |
| abstract_inverted_index.identified | 31 |
| abstract_inverted_index.individual | 196 |
| abstract_inverted_index.metabolite | 33 |
| abstract_inverted_index.microbiome | 83 |
| abstract_inverted_index.microbiota | 57 |
| abstract_inverted_index.peripheral | 153 |
| abstract_inverted_index.phenotype. | 50 |
| abstract_inverted_index.phenotypic | 219 |
| abstract_inverted_index.receptors. | 24 |
| abstract_inverted_index.remarkable | 128 |
| abstract_inverted_index.spill-over | 177 |
| abstract_inverted_index.demonstrate | 126 |
| abstract_inverted_index.determinant | 209 |
| abstract_inverted_index.gallbladder | 182 |
| abstract_inverted_index.individuals | 105 |
| abstract_inverted_index.pleiotropic | 13 |
| abstract_inverted_index.trajectory, | 62 |
| abstract_inverted_index.variability | 220 |
| abstract_inverted_index.contribution | 58 |
| abstract_inverted_index.quantitative | 92 |
| abstract_inverted_index.deconjugation | 66 |
| abstract_inverted_index.heterogeneity | 129 |
| abstract_inverted_index.modifications | 69 |
| abstract_inverted_index.health-disease | 61 |
| abstract_inverted_index.membrane-bound | 21 |
| abstract_inverted_index.phenotypically | 101 |
| abstract_inverted_index.semiquantitative | 95 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5103067533 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I62916508 |
| citation_normalized_percentile.value | 0.79621363 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |