Dataset Information

Potential anti-inflammatory effect of inulin in an inflammatory cell model (mouse macrophages with LPS)

ABSTRACT: A potential anti-inflammatory effect of inulin, a fructan found in thousands of plant species, has been described. In this study we look at the effect of inulin, at the proteome level, in a murine cellular model of inflammation. Our interest is focused on describing the molecular mechanisms involved in this possible anti-inflammatory bioactivity.

INSTRUMENT(S): timsTOF Pro

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Cell Culture, Macrophage

SUBMITTER: Ignacio Ortea

LAB HEAD: Ignacio Ortea

PROVIDER: PXD032759 | Pride | 2023-03-11

REPOSITORIES: Pride

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Publications

Exploring the Anti-Inflammatory Effect of Inulin by Integrating Transcriptomic and Proteomic Analyses in a Murine Macrophage Cell Model.

Farabegoli Federica F Santaclara Francisco J FJ Costas Daniel D Alonso Mercedes M Abril Ana G AG Espiñeira Montserrat M Ortea Ignacio I Costas Celina C

Nutrients 20230208 4

Inulin is a natural polysaccharide classified as a soluble fiber with demonstrated prebiotic activity. Prebiotics can reduce intestinal and systemic inflammation through modulation of the gut microflora and their metabolites. Additionally, extensive research is illuminating the role of macrophages in the interaction between gut microbiota and many systemic inflammatory diseases. In this study, the anti-inflammatory properties of inulin were evaluated using a murine macrophage cell model (RAW 264 ...[more]

PMID: 36839217

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Project description:Background: Toll-like family of receptors recognizes pathogen-associated molecular patterns (PAMPs) from different organisms. TLR4 is the receptor for bacterial lipopolysaccharide (LPS), dsRNA viral mimic poly(I:C) binds to TLR3, and bacterial CpG DNA signals through TLR9. TLR4 signaling is mediated by adaptor molecules Myd88 and TRIF while TLR3 pathway involves only the TRIF adaptor and TLR9 signals solely through Myd88. Methods: To identify genes other than those in TLR pathways that mediate macrophage response to different PAMPs, RAW264.7 cells were stimulated with LPS, poly(I:C), or CpG DNA, and RNA was profiled on microarrays 6 hrs and 24 hrs post-treatment. Gene expression data were analyzed to determine genes, pathways and transcriptional networks that are in common and unique to each of the three TLR stimuli. Potentially novel candidates revealed by this analysis were tested for their role in innate immunity using RNA interference. Results: Many genes are differentially regulated by LPS and poly(I:C) at both 6 hrs and 24 hrs following treatment, while CpG DNA elicits a much less pronounced transcriptional response. By analyzing gene expression data for networks and pathways, we prioritized differentially expressed genes that are in common to all three PAMPs as well as those shared by LPS and poly(I:C). Knockdown by RNA interference of two genes, Plec1 and TPST1, inhibited production of IL-6 in response to LPS in cultured macrophages. Conclusions: We have identified novel innate immunity genes that may be important in macrophage response to LPS, poly(I:C), and CpG DNA stimuli. Our results provide potential biomarkers and therapeutic targets that should be further investigated in mice and human populations. Keywords: time course For each treatment (Sigma LPS, LIST LPS, and media only), three biological replicates (separate macrophage cultures and RNA isolations) were profiled. Each sample was labeled with Cy3 and Cy5 and co-hybridized with Stratagene Universal Mouse Reference (dye flip techical replicates). Expression at 2 timepoints (6 and 24 hours post-treatment) was assessed.

Project description:Objectives: Pinolenic acid (PNLA), an omega-6 polyunsaturated fatty acid from pine nuts, has anti-inflammatory and anti-atherogenic effects. We aimed to investigate the direct anti-inflammatory effect and anti-atherogenic effects of PNLA on activated purified CD14 monocytes from peripheral blood of patients with rheumatoid arthritis (RA) in vitro. Methods: Flow cytometry was used to assess the proportions of CD14 monocytes expressing TNF-α, IL-6, IL-1β, and IL-8 in purified monocytes from patients with RA after lipopolysaccharide (LPS) stimulation with/without PNLA pre-treatment. The whole genomic transcriptome (WGT) profile of PNLA-treated, and LPS-activated monocytes from patients with active RA was investigated by RNA-sequencing. Results: PNLA reduced percentage of monocytes expressing cytokines: TNF-a by 23% (p=0.048), IL-6 by 25% (p=0.011), IL-1B by 23% (p=0.050), IL-8 by 20% (p=0.066). Pathway analysis identified upstream activation of peroxisomes proliferator-activated receptors (PPARs), sirtuin3, and let7miRNA, KLF15 which are anti-inflammatory and antioxidative. In contrast, DAP3, LIF and STAT3, which are involved in TNF-a, and IL-6 signal transduction, were inhibited. Canonical Pathway analysis showed that PNLA inhibited oxidative phosphorylation (p=9.14E-09) and mitochondrial dysfunction (p=4.18E-08), while the sirtuin (SIRTs) signalling pathway was activated (p=8.89E-06) which interfere with the pathophysiologic process of atherosclerosis. Many miRNAs were modulated by PNLA suggesting potential post-transcriptional regulation of metabolic and immune response that has not been described previously. Multiple miRNAs target pyruvate dehydrogenase kinase-4 (PDK4), single-immunoglobulin interleukin-1 receptor molecule (SIGIRR), mitochondrially encoded ATP synthase membrane subunit 6 (MT-ATP6) and Acetyl-CoA Acyltranferase2 (ACAA2); genes implicated in regulation of lipid and cell metabolism, inflammation, and mitochondrial dysfunction. Conclusion: PNLA has potential anti-atherogenic and immune-metabolic effects on monocytes that are pathogenic in RA and atherosclerosis. Dietary PNLA supplementation regulates key miRNAs that are involved in metabolic, mitochondrial, and inflammatory pathways.

Dataset Information

Potential anti-inflammatory effect of inulin in an inflammatory cell model (mouse macrophages with LPS)

Publications

Exploring the Anti-Inflammatory Effect of Inulin by Integrating Transcriptomic and Proteomic Analyses in a Murine Macrophage Cell Model.

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