Gut bacterial markers involved in association of dietary inflammatory index with visceral adiposity.

Body adiposity Diet Dietary inflammatory index Gut microbiota

Journal

Nutrition (Burbank, Los Angeles County, Calif.)
ISSN: 1873-1244
Titre abrégé: Nutrition
Pays: United States
ID NLM: 8802712

Informations de publication

Date de publication:
30 Jan 2024
Historique:
received: 06 08 2023
revised: 14 11 2023
accepted: 24 01 2024
medline: 3 3 2024
pubmed: 3 3 2024
entrez: 2 3 2024
Statut: aheadofprint

Résumé

To deepen the understanding of the influence of diet on weight gain and metabolic disturbances, we examined associations between diet-related inflammation and body composition and fecal bacteria abundances in participants of the Nutritionists' Health Study. Early-life, dietary and clinical data were obtained from 114 women aged ≤45 years. A validated food frequency questionnaire was used to calculate the energy-adjusted dietary inflammatory index (E-DII). Participants' data were compared by E-DII quartiles using ANOVA or Kruskal-Wallis. Associations of DXA-determined body composition with the E-DII were tested by multiple linear regression using DAG-oriented adjustments. Fecal microbiota was analyzed targeting the V4 region of the 16S rRNA gene. Spearman correlation coefficients were used to test linear associations; differential abundance of genera across the E-DII quartiles was assessed by pair-wise comparisons. E-DII score was associated with total fat (b=1.80, p<0.001), FMI (b=0.08, p<0.001) and visceral fat (b=1.19, p=0.02), independently of maternal BMI, birth type and breastfeeding. E-DII score was directly correlated to HOMA-IR (r=0.30; p=0.004), C-reactive protein (r=0.29; p=0.003) and to the abundance of Actinomyces, and inversely correlated to the abundance of Eubacterium.xylanophilum.group. Actinomyces were significantly more abundant in the highest (most proinflammatory) E-DII quartile. Association of E-DII with markers of insulin resistance, inflammation, body adiposity and certain gut bacteria are consistent with beneficial effects of anti-inflammatory diet on body composition and metabolic profile. Bacterial markers, such as Actinomyces, could be involved in the association between the dietary inflammation with visceral adiposity. Studies designed to explore how a pro-inflammatory diet affects both central fat deposition and gut microbiota are needed.

Identifiants

pubmed: 38430843
pii: S0899-9007(24)00021-2
doi: 10.1016/j.nut.2024.112371
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112371

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Renata G B O N Freitas (RGBON)

Department of Epidemiology, School of Public Health, University of São Paulo, Brazil; Laboratory of Investigation in Metabolism and Diabetes, School of Medical Sciences, University of Campinas, Brazil.

Ana Carolina J Vasques (ACJ)

Laboratory of Investigation in Metabolism and Diabetes, School of Medical Sciences, University of Campinas, Brazil; School of Applied Sciences, University of Campinas, São Paulo, Brazil.

Gabriel da Rocha Fernandes (G)

Oswaldo Cruz Foundation, Belo Horizonte, Brazil.

Francieli B Ribeiro (FB)

Laboratory of Investigation in Metabolism and Diabetes, School of Medical Sciences, University of Campinas, Brazil; School of Applied Sciences, University of Campinas, São Paulo, Brazil.

Isabela Solar (I)

Laboratory of Investigation in Metabolism and Diabetes, School of Medical Sciences, University of Campinas, Brazil; School of Applied Sciences, University of Campinas, São Paulo, Brazil.

Nitin Shivappa (N)

Cancer Prevention and Control Program, Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC; Department of Nutrition, Connecting Health Innovations, Columbia, SC.

James R Hébert (JR)

Cancer Prevention and Control Program, Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC; Department of Nutrition, Connecting Health Innovations, Columbia, SC.

Bianca de Almeida-Pititto (B)

Department of Preventive Medicine, Federal University of São Paulo, Brazil.

Bruno Geloneze (B)

Laboratory of Investigation in Metabolism and Diabetes, School of Medical Sciences, University of Campinas, Brazil; Obesity and Comorbidities Research Center, University of Campinas, São Paulo, Brazil.

Sandra Roberta G Ferreira (SRG)

Department of Epidemiology, School of Public Health, University of São Paulo, Brazil. Electronic address: sandrafv@usp.br.

Classifications MeSH