Raspberry consumption: identification of distinct immune-metabolic response profiles by whole blood transcriptome profiling.
J Nutr Biochem
; 101: 108946, 2022 03.
Article
en En
| MEDLINE
| ID: mdl-35016998
ABSTRACT
Numerous studies have reported that diets rich in phenolic compounds are beneficial to immune-metabolic health, yet these effects are heterogeneous and the underlying mechanisms are poorly understood. To investigate the inter-individual variability of the immune-metabolic response to raspberry consumption, whole-blood RNAseq data from 24 participants receiving 280 g/d of raspberries for 8 weeks were used for the identification of responsiveness subgroups by using partial least squares-discriminant analysis (PLSDA) and hierarchical clustering. Transcriptomic-based clustering regrouped participants into two distinct subgroups of 13 and 11 participants, so-called responders and non-responders, respectively. Following raspberry consumption, a significant decrease in triglycerides, cholesterol and C-reactive protein levels were found in responders, as compared to non-responders. Two major gene expression components of 100 and 220 genes were identified by sparse PLSDA as those better discriminating responders from non-responders, and functional analysis identified pathways related to cytokine production, leukocyte activation and immune response as significantly enriched with most discriminant genes. As compared to non-responders, the plasma lipidomic profile of responders was characterized by a significant decrease in triglycerides and an increase in phosphatidylcholines following raspberry consumption. Prior to the intervention, a distinct metagenomic profile was identified by PLSDA between responsiveness subgroups, and the Firmicutes-to-Bacteroidota ratio was found significantly lower in responders, as compared to non-responders. Findings point to this transcriptomic-based clustering approach as a suitable tool to identify distinct responsiveness subgroups to raspberry consumption. This approach represents a promising framework to tackle the issue of inter-individual variability in the understanding of the impact of foods on immune-metabolic health.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Dieta
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Metaboloma
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Transcriptoma
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Rubus
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Inmunidad
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Lípidos
Tipo de estudio:
Clinical_trials
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Diagnostic_studies
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Prognostic_studies
Límite:
Adult
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Female
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Humans
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Male
Idioma:
En
Año:
2022
Tipo del documento:
Article