The gut microbiome modulates associations between adherence to a Mediterranean-style diet, abdominal adiposity, and C-reactive protein in population-level analysis
BACKGROUND: Adherence to a Mediterranean-style dietary pattern is likely to have variable effects on body composition, but the impact of gut microbiome on this relationship is unknown. - OBJECTIVES: To examine the potential mediating effect of the gut microbiome on the associations between Alternate...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2024
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| In: |
The American journal of clinical nutrition
Year: 2024, Volume: 119, Issue: 1, Pages: 136-144 |
| ISSN: | 1938-3207 |
| DOI: | 10.1016/j.ajcnut.2023.11.001 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.ajcnut.2023.11.001 |
| Author Notes: | Amy Jennings, Tilman Kühn, Nicola P. Bondonno, Sabina Waniek, Corinna Bang, Andre Franke, Jan Kassubek, Hans-Peter Müller, Marcus Both, Katharina S. Weber, Wolfgang Lieb, Aedín Cassidy |
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| 245 | 1 | 4 | |a The gut microbiome modulates associations between adherence to a Mediterranean-style diet, abdominal adiposity, and C-reactive protein in population-level analysis |c Amy Jennings, Tilman Kühn, Nicola P. Bondonno, Sabina Waniek, Corinna Bang, Andre Franke, Jan Kassubek, Hans-Peter Müller, Marcus Both, Katharina S. Weber, Wolfgang Lieb, Aedín Cassidy |
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| 520 | |a BACKGROUND: Adherence to a Mediterranean-style dietary pattern is likely to have variable effects on body composition, but the impact of gut microbiome on this relationship is unknown. - OBJECTIVES: To examine the potential mediating effect of the gut microbiome on the associations between Alternate Mediterranean Diet (aMed) scores, abdominal adiposity, and inflammation in population-level analysis. - DESIGN: In a community-based sample aged 25 to 83 y (n = 620; 41% female) from Northern Germany, we assessed the role of the gut microbiome, sequenced from 16S rRNA genes, on the associations between aMed scores, estimated using validated food-frequency questionnaires, magnetic resonance imaging-determined visceral (VAT) and subcutaneous (SAT) adipose tissue and C-reactive protein (CRP). - RESULTS: Higher aMed scores were associated with lower SAT (-0.86 L (95% CI: -1.56, -0.17), P = 0.01), VAT (-0.65 L (95% CI: -1.03,-0.27), P = 0.01) and CRP concentrations (-0.35 mg/L; β: -20.1% (95% CI: 35.5, -1.09), P = 0.04) in the highest versus lowest tertile after multivariate adjustment. Of the taxa significantly associated with aMed scores, higher abundance of Porphyromonadaceae mediated 11.6%, 9.3%, and 8.7% of the associations with lower SAT, VAT, and CRP, respectively. Conversely, a lower abundance of Peptostreptococcaceae mediated 13.1% and 18.2% of the association with SAT and CRP levels. Of the individual components of the aMed score, moderate alcohol intake was associated with lower VAT (-0.2 (95% CI: -0.4, -0.1), P =0.01) with a higher abundance of Oxalobacteraceae and lower abundance of Burkholderiaceae explaining 8.3% and 9.6% of this association, respectively. - CONCLUSION: These novel data suggest that abundance of specific taxa in the Porphyromonadaceae and Peptostreptococcaceae families may contribute to the association between aMed scores, lower abdominal adipose tissue, and inflammation. | ||
| 650 | 4 | |a adipose tissue | |
| 650 | 4 | |a Adiposity | |
| 650 | 4 | |a C-Reactive Protein | |
| 650 | 4 | |a diet | |
| 650 | 4 | |a Diet, Mediterranean | |
| 650 | 4 | |a Female | |
| 650 | 4 | |a Gastrointestinal Microbiome | |
| 650 | 4 | |a gut microbiome | |
| 650 | 4 | |a Humans | |
| 650 | 4 | |a inflammation | |
| 650 | 4 | |a Inflammation | |
| 650 | 4 | |a Intra-Abdominal Fat | |
| 650 | 4 | |a Male | |
| 650 | 4 | |a Obesity, Abdominal | |
| 650 | 4 | |a RNA, Ribosomal, 16S | |
| 700 | 1 | |a Kühn, Tilman |d 1979- |e VerfasserIn |0 (DE-588)1059123908 |0 (DE-627)798013915 |0 (DE-576)415142644 |4 aut | |
| 700 | 1 | |a Bondonno, Nicola P. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Waniek, Sabina |e VerfasserIn |4 aut | |
| 700 | 1 | |a Bang, Corinna |e VerfasserIn |4 aut | |
| 700 | 1 | |a Franke, Andre |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kassubek, Jan |e VerfasserIn |4 aut | |
| 700 | 1 | |a Müller, Hans-Peter |e VerfasserIn |4 aut | |
| 700 | 1 | |a Both, Marcus |e VerfasserIn |4 aut | |
| 700 | 1 | |a Weber, Katharina S. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Lieb, Wolfgang |e VerfasserIn |4 aut | |
| 700 | 1 | |a Cassidy, Aedín |e VerfasserIn |4 aut | |
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