Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/15/8/1894 |
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| author | Victoria Ramos-Garcia Isabel Ten-Doménech Alba Moreno-Giménez Laura Campos-Berga Anna Parra-Llorca María Gormaz Máximo Vento Melina Karipidou Dimitrios Poulimeneas Eirini Mamalaki Eirini Bathrellou Julia Kuligowski |
| author_facet | Victoria Ramos-Garcia Isabel Ten-Doménech Alba Moreno-Giménez Laura Campos-Berga Anna Parra-Llorca María Gormaz Máximo Vento Melina Karipidou Dimitrios Poulimeneas Eirini Mamalaki Eirini Bathrellou Julia Kuligowski |
| author_sort | Victoria Ramos-Garcia |
| collection | DOAJ |
| description | 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) (<i>N</i> = 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, <i>p</i>-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. |
| first_indexed | 2024-03-11T04:40:07Z |
| format | Article |
| id | doaj.art-29736f1b4b804820a76fcf50ed5462e1 |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-11T04:40:07Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-29736f1b4b804820a76fcf50ed5462e12023-11-17T20:46:00ZengMDPI AGNutrients2072-66432023-04-01158189410.3390/nu15081894Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MSVictoria Ramos-Garcia0Isabel Ten-Doménech1Alba Moreno-Giménez2Laura Campos-Berga3Anna Parra-Llorca4María Gormaz5Máximo Vento6Melina Karipidou7Dimitrios Poulimeneas8Eirini Mamalaki9Eirini Bathrellou10Julia Kuligowski11Neonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, SpainNeonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, SpainNeonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, SpainNeonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, SpainNeonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, SpainDivision of Neonatology, University & Polytechnic Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, SpainNeonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, SpainDepartment of Nutrition and Dietetics, Harokopio University of Athens, El. Venizelou 70, 17676 Kallithea, GreeceDepartment of Nutrition and Dietetics, Harokopio University of Athens, El. Venizelou 70, 17676 Kallithea, GreeceDepartment of Nutrition and Dietetics, Harokopio University of Athens, El. Venizelou 70, 17676 Kallithea, GreeceDepartment of Nutrition and Dietetics, Harokopio University of Athens, El. Venizelou 70, 17676 Kallithea, GreeceNeonatal Research Unit, Health Research Institute Hospital La Fe, Avda Fernando Abril Martorell 106, 46026 Valencia, SpainAccurate 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) (<i>N</i> = 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, <i>p</i>-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.https://www.mdpi.com/2072-6643/15/8/1894nutrition biomarkersmicrobiota biomarkersfood-intakedietary assessmentlactating mothersurine |
| spellingShingle | Victoria Ramos-Garcia Isabel Ten-Doménech Alba Moreno-Giménez Laura Campos-Berga Anna Parra-Llorca María Gormaz Máximo Vento Melina Karipidou Dimitrios Poulimeneas Eirini Mamalaki Eirini Bathrellou Julia Kuligowski Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS Nutrients nutrition biomarkers microbiota biomarkers food-intake dietary assessment lactating mothers urine |
| title | Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS |
| title_full | Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS |
| title_fullStr | Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS |
| title_full_unstemmed | Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS |
| title_short | Joint Microbiota Activity and Dietary Assessment through Urinary Biomarkers by LC-MS/MS |
| title_sort | joint microbiota activity and dietary assessment through urinary biomarkers by lc ms ms |
| topic | nutrition biomarkers microbiota biomarkers food-intake dietary assessment lactating mothers urine |
| url | https://www.mdpi.com/2072-6643/15/8/1894 |
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