Cuevas-Sierra A - Search Results

1

Fecal Microbiota Composition as a Metagenomic Biomarker of Dietary Intake.

Melo NCO, Cuevas-Sierra A, Fernández-Cruz E, de la O V, Martínez JA. Melo NCO, et al. Int J Mol Sci. 2023 Mar 3;24(5):4918. doi: 10.3390/ijms24054918. Int J Mol Sci. 2023. PMID: 36902349 Free PMC article. Review.

2

Diet, Gut Microbiota, and Obesity: Links with Host Genetics and Epigenetics and Potential Applications.

Cuevas-Sierra A, Ramos-Lopez O, Riezu-Boj JI, Milagro FI, Martinez JA. Cuevas-Sierra A, et al. Adv Nutr. 2019 Jan 1;10(suppl_1):S17-S30. doi: 10.1093/advances/nmy078. Adv Nutr. 2019. PMID: 30721960 Free PMC article. Review.

3

Changes in Anxiety and Depression Traits Induced by Energy Restriction: Predictive Value of the Baseline Status.

Rodriguez-Lozada C, Cuervo M, Cuevas-Sierra A, Goni L, Riezu-Boj JI, Navas-Carretero S, Milagro FI, Martinez JA. Rodriguez-Lozada C, et al. Nutrients. 2019 May 28;11(6):1206. doi: 10.3390/nu11061206. Nutrients. 2019. PMID: 31141954 Free PMC article. Clinical Trial.

4

Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity.

Cuevas-Sierra A, Riezu-Boj JI, Guruceaga E, Milagro FI, Martínez JA. Cuevas-Sierra A, et al. Microorganisms. 2020 Jun 22;8(6):938. doi: 10.3390/microorganisms8060938. Microorganisms. 2020. PMID: 32580458 Free PMC article.

5

Crosstalk between circulating microRNAs and chronotypical features in subjects with metabolic syndrome.

Assmann TS, Cuevas-Sierra A, Salas-Pérez F, Riezu-Boj JI, Milagro FI, Martínez JA. Assmann TS, et al. Chronobiol Int. 2020 Jul;37(7):1048-1058. doi: 10.1080/07420528.2020.1782419. Epub 2020 Jul 7. Chronobiol Int. 2020. PMID: 32633152

6

Comprehensive Analysis Reveals Novel Interactions between Circulating MicroRNAs and Gut Microbiota Composition in Human Obesity.

Assmann TS, Cuevas-Sierra A, Riezu-Boj JI, Milagro FI, Martínez JA. Assmann TS, et al. Int J Mol Sci. 2020 Dec 14;21(24):9509. doi: 10.3390/ijms21249509. Int J Mol Sci. 2020. PMID: 33327530 Free PMC article.

7

Differentially methylated regions (DMRs) in PON3 gene between responders and non-responders to a weight loss dietary intervention: a new tool for precision management of obesity.

Salas-Pérez F, Cuevas-Sierra A, Cuervo M, Goni L, Milagro FI, Martínez JA, Riezu-Boj JI. Salas-Pérez F, et al. Epigenetics. 2022 Jan;17(1):81-92. doi: 10.1080/15592294.2021.1873629. Epub 2021 Jan 25. Epigenetics. 2022. PMID: 33427034 Free PMC article.

8

Diet- and sex-related changes of gut microbiota composition and functional profiles after 4 months of weight loss intervention.

Cuevas-Sierra A, Romo-Hualde A, Aranaz P, Goni L, Cuervo M, Martínez JA, Milagro FI, Riezu-Boj JI. Cuevas-Sierra A, et al. Eur J Nutr. 2021 Sep;60(6):3279-3301. doi: 10.1007/s00394-021-02508-0. Epub 2021 Feb 16. Eur J Nutr. 2021. PMID: 33591390 Clinical Trial.

9

Gut Microbiota Bacterial Species Associated with Mediterranean Diet-Related Food Groups in a Northern Spanish Population.

Rosés C, Cuevas-Sierra A, Quintana S, Riezu-Boj JI, Martínez JA, Milagro FI, Barceló A. Rosés C, et al. Nutrients. 2021 Feb 16;13(2):636. doi: 10.3390/nu13020636. Nutrients. 2021. PMID: 33669303 Free PMC article.

10

A predictive regression model of the obesity-related inflammatory status based on gut microbiota composition.

Aranaz P, Ramos-Lopez O, Cuevas-Sierra A, Martinez JA, Milagro FI, Riezu-Boj JI. Aranaz P, et al. Int J Obes (Lond). 2021 Oct;45(10):2261-2268. doi: 10.1038/s41366-021-00904-4. Epub 2021 Jul 15. Int J Obes (Lond). 2021. PMID: 34267323

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