Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS.

Autores de IIS La Fe

• Victoria Ramos García

  Autor

• Isabel Ten Doménech

  Autor

• Alba Moreno Giménez

  Autor

• Laura Campos Berga

  Autor

• Anna Parra Llorca

  Autor

• María José Gormaz Moreno

  Autor

• Máximo Vento Torres

  Autor

• Julia Kuligowski

  Autor

Participantes ajenos a IIS La Fe

• Karipidou, Melina
• Poulimeneas, Dimitrios
• Mamalaki, Eirini
• Bathrellou, Eirini

Grupos

• Investigación en Salud Mental

• Perinatología

Abstract

Accurate dietary assessment in nutritional research is a huge challenge, but essential. Due to the subjective nature of self-reporting methods, the development of analytical methods for food intake and microbiota biomarkers determination is needed. This work presents an ultra-high performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS) method for the quantification and semi quantification of 20 and 201 food intake biomarkers (BFIs), respectively, as well as 7 microbiota biomarkers applied to 208 urine samples from lactating mothers (M) (N = 59). Dietary intake was assessed through a 24 h dietary recall (R24h). BFI analysis identified three distinct clusters among samples: samples from clusters 1 and 3 presented higher concentrations of most biomarkers than those from cluster 2, with dairy products and milk biomarkers being more concentrated in cluster 1, and seeds, garlic and onion in cluster 3. Significant correlations were observed between three BFIs (fruits, meat, and fish) and R24h data (r > 0.2, p-values < 0.01, Spearman correlation). Microbiota activity biomarkers were simultaneously evaluated and the subgroup patterns detected were compared to clusters from dietary assessment. These results evidence the feasibility, usefulness, and complementary nature of the determination of BFIs, R24h, and microbiota activity biomarkers in observational nutrition cohort studies.

Keywords

• dietary assessment; food-intake; lactating mothers; microbiota biomarkers; nutrition biomarkers; urine