Publicaciones en las que colabora con Fermín Ignacio Milagro Yoldi (240)

2024

  1. Circulating miR-122-5p, miR-151a-3p, miR-126-5p and miR-21-5p as potential predictive biomarkers for Metabolic Dysfunction-Associated Steatotic Liver Disease assessment

    Journal of Physiology and Biochemistry

  2. Inflammatory markers as diagnostic and precision nutrition tools for metabolic dysfunction-associated steatotic liver disease: Results from the Fatty Liver in Obesity trial

    Clinical Nutrition, Vol. 43, Núm. 7, pp. 1770-1781

2023

  1. A Predictive Tool Based on DNA Methylation Data for Personalized Weight Loss through Different Dietary Strategies: A Pilot Study

    Nutrients, Vol. 15, Núm. 24

  2. Crosstalk between Gut Microbiota and Epigenetic Markers in Obesity Development: Relationship between Ruminococcus, BMI, and MACROD2/SEL1L2 Methylation

    Nutrients, Vol. 15, Núm. 7

2022

  1. A nutrigenetic tool for precision dietary management of non-alcoholic fatty liver disease deeming insulin resistance markers

    Panminerva medica, Vol. 64, Núm. 4, pp. 485-496

  2. A weight-loss model based on baseline microbiota and genetic scores for selection of dietary treatments in overweight and obese population

    Clinical Nutrition, Vol. 41, Núm. 8, pp. 1712-1723

  3. 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

    Epigenetics, Vol. 17, Núm. 1, pp. 81-92

  4. Fecal microbiota relationships with childhood obesity: A scoping comprehensive review

    Obesity Reviews, Vol. 23, Núm. S1

  5. Holistic Integration of Omics Tools for Precision Nutrition in Health and Disease

    Nutrients, Vol. 14, Núm. 19

  6. Possible metabolic interplay between quality of life and fecal microbiota in a presenior population–Preliminary results

    Nutrition, Vol. 103-104

  7. Transcriptomics to devise human health and disease

    Transcriptome Profiling: Progress and Prospects (Elsevier), pp. 397-417

2021

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

    International Journal of Obesity, Vol. 45, Núm. 10, pp. 2261-2268

  2. Azoxymethane-induced colorectal cancer mice treated with a polyphenol-rich apple extract show less neoplastic lesions and signs of cachexia

    Foods, Vol. 10, Núm. 4

  3. Changes in miRNA expression with two weight-loss dietary strategies in a population with metabolic syndrome

    Nutrition, Vol. 83

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

    European Journal of Nutrition, Vol. 60, Núm. 6, pp. 3279-3301

  5. Diet-induced obesity in animal models: points to consider and influence on metabolic markers

    Diabetology and Metabolic Syndrome, Vol. 13, Núm. 1

  6. Differential response to a 6-month energy-restricted treatment depending on SH2B1 rs7359397 variant in NAFLD subjects: Fatty Liver in Obesity (FLiO) Study

    European Journal of Nutrition, Vol. 60, Núm. 6, pp. 3043-3057

  7. Epigenetic landscape in blood leukocytes following ketosis and weight loss induced by a very low calorie ketogenic diet (VLCKD) in patients with obesity

    Clinical Nutrition, Vol. 40, Núm. 6, pp. 3959-3972

  8. Epigenetic signatures underlying inflammation: an interplay of nutrition, physical activity, metabolic diseases, and environmental factors for personalized nutrition

    Inflammation Research, Vol. 70, Núm. 1, pp. 29-49

  9. Gut microbiota bacterial species associated with mediterranean diet-related food groups in a northern spanish population

    Nutrients, Vol. 13, Núm. 2, pp. 1-17