Predicting obesity from gut microbial composition and lipid profile; does gender matter?

  1. Fernández-Navarro, Tania 23
  2. Díaz, Irene 3
  3. Gutiérrez-Díaz, Isabel 23
  4. Rodríguez-Carrio, Javier 23
  5. Suárez, Ana 23
  6. González de los Reyes-Gavilán, Clara 12
  7. Gueimonde Fernández, Miguel 12
  8. Salazar, Nuria 12
  9. González Solares, Sonia 23
  1. 1 Instituto de Productos Lácteos de Asturias
    info

    Instituto de Productos Lácteos de Asturias

    Villaviciosa, España

    ROR https://ror.org/00bnagp43

  2. 2 Instituto de Investigación Sanitaria del Principado de Asturias
    info

    Instituto de Investigación Sanitaria del Principado de Asturias

    Oviedo, España

  3. 3 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

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Actas:
Abstracts of the 10th Workshop on Probiotics and Prebiotics - Annals of Nutritions & Metabolism 2019;74(suppl 1):1–31
  1. Guillermo Álvarez Calatayud (ed. lit.)
  2. Ascensión Marcos (ed. lit.)
  3. Luis Peña Quintana (ed. lit.)

Editorial: S. Karger AG

ISSN: 0250-6807,  1421-9697

ISBN: 978-3-318-06505-3

Año de publicación: 2019

Páginas: 9-9

Congreso: 10th Workshop on Probiotics and Prebiotics, de la Sociedad Española de Probióticos y Prebióticos (SEPyP), celebrado en Las Palmas de Gran Canarias, del 6 al 8 de febrero de 2019

Tipo: Aportación congreso

DOI: 10.1159/000496759 GOOGLE SCHOLAR lock_openDigital CSIC editor

Objetivos de desarrollo sostenible

Resumen

[Aims] Different fatty acids could drive different changes in the composition and functionality of the intestinal microbiota, contributing to host’s lipid metabolism and obesity development. Our aim was to address the connections between gut microbiota and different serum free fatty acids (FFA) in the context of obesity, by analyzing the possible interactions between all factors involved.[Methods] 66 subjects (age 52.7 ± 11.2y) classified according to Body Mass Index (BMI). Total and individual FFA were analyzed by colorimetric enzymatic assay and methyl-tert-butylether-based extraction protocol, respectively. Gut microbiota was determined by qPCR and diet through a food frequency questionnaire. Statistical analyses were performed, and predictive factors for obesity were obtained via classification by decision trees using machinelearning methods.[Results] Subjects with higher serum levels of eicosapentaenoic acid (EPA) and higher fecal levels of Bacteroides belonged to normal weight group, with independence of gender. In males, levels of Faecalibacterium ≤ 6.456 or > 6.456 (log nº cells / gram of feces) were associated to normal and pre-obesity status, respectively. Furthermore, women with serum palmitic acid > 23.843 µg/mL and Bifidobacterium ≤ 6.729 (log nº cells / gram of feces), classified within the overweight group. In the same way, if EPA serum level was > 0.141 µg/mL, or ≤ 0.141 µg/mL running together with Bifidobacterium > 8.823 (log nº cells/gram of feces), women werenormal weight.[Conclusion] These data point to serum EPA as a significant obesity indicator, independently of the rest of the variables. Furthermore, when the concentration of serum EPA is ≤ 0.235 µg/mL, the interaction between FFA and the gut microbiota seems to be gender-dependent, being associated to Faecalibacterium and Bifidobacterium for males and females, respectively. These results open the possibility of modifying the obese-linked FFA profile andthe altered gut microbiota through dietary interventions attending to gender differences.