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Wittenbecher, Iris

doi:10.1007/978-3-663-09107-3

Cited by 9 publications

(2 citation statements)

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“…We also applied the NetCoupler algorithm to identify direct links between metabolites and disease risk that cannot be explained through adjustment for other lipid metabolites. 43,44 Lipid metabolites for which the endpoint associations were robust against adjustment for other MLS lipids are highlighted in extended Fig. 7.…”

Section: Methodsmentioning

confidence: 99%

Deep lipidomics profiling captures the impact of improved dietary fat quality on cardiometabolic risk and provides potential tools for precision nutrition approaches

Wittenbecher,

Eichelmann,

Schulze

et al. 2023

Preprint

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Current guidelines for cardiometabolic disease prevention recommend increasing dietary unsaturated fat intake while reducing saturated fats. However, standard cardiometabolic risk markers may not fully capture the metabolic benefits. Here, we demonstrate that a deep lipidomics-based multi-lipid score (MLS) accurately reflects the metabolic impact of controlled dietary substitution of saturated fats with unsaturated fats. We then show that the difference in this MLS, induced by a healthy fat-rich diet, is associated with a significant reduction in relative disease risk, such as 32% fewer incident cardiovascular disease and 26% fewer type 2 diabetes cases. These relative risk reductions surpass those extrapolated based on changes in standard surrogate biomarkers such as non-HDL cholesterol. Additionally, we utilize longitudinal lipidomics data to link long-term MLS changes with altered diabetes risk. Finally, we show a significant effect modification in a dietary intervention trial. An olive oil-rich Mediterranean diet intervention primarily reduced diabetes incidence among participants with unfavorable pre-intervention MLS levels. Together, our findings highlight the potential of lipidomics-based scores for targeting and monitoring dietary interventions in biomarker-guided precision nutrition approaches.

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Section: Methodsmentioning

confidence: 99%

Deep lipidomics profiling captures the impact of improved dietary fat quality on cardiometabolic risk and provides potential tools for precision nutrition approaches

Wittenbecher,

Eichelmann,

Schulze

et al. 2023

Preprint

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“…Für eine Einordnung im soziologischen Diskurs muss aus Kapazitätsgründen u.a. aufWittenbecher (1999) verwiesen werden. Sie arbeitet die Möglichkeiten sinnbezogener Anschlussoptionen autopoietischer Systeme über den systemtheoretischen Verstehensbegriff aus (vgl.Wittenbecher 1999: 24ff, 57ff.)…”

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Inklusion und Grenzen

2024

Gesellschaft Der Unterschiede

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Inklusion ist ein mehrdeutiger sozialer, politischer und pädagogischer Begriff, der von einer Vielzahl an Disziplinen zunehmend auch als analytische Kategorie gefasst wird. Die Beiträger*innen erweitern diesen theoretisierenden Zugang und setzen dabei den Fokus auf das Verhältnis von Inklusion und Grenzen. Aus interdisziplinärer Perspektive zeigen sie, dass Grenzen und Grenzziehungen nicht nur dem Gegenstand Inklusion immanent sind, sondern Inklusion selbst die Logiken und Grenzen disziplinärer Diskurse verschiebt - was einen neuen Blick auf politische Partizipationsfragen, wechselseitige Zu- und Anerkennungsverhältnisse und pädagogische Imperative zulässt.

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Zur organisationalen Verfertigung von Behinderung

Wetzel¹

2010

Doing Social Problems

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Cited by 9 publications

References 0 publications

Deep lipidomics profiling captures the impact of improved dietary fat quality on cardiometabolic risk and provides potential tools for precision nutrition approaches

Deep lipidomics profiling captures the impact of improved dietary fat quality on cardiometabolic risk and provides potential tools for precision nutrition approaches

Inklusion und Grenzen

Zur organisationalen Verfertigung von Behinderung

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