Parent–child microbiota relationships involved in childhood obesity: A CORALS ancillary study

Authors: de Cuevillas, Begoña, Riezu-Boj, Jose I., Milagro, Fermín I., Galera Alquegui, Sergio, Babio, Nancy, Pastor-Villaescusa, Belén, Gil-Campos, Mercedes, Leis, Rosaura, De Miguel-Etayo, Pilar, Moreno, Luis A., Salas-Salvadó, Jordi, Martínez, J. Alfredo, Navas-Carretero, Santiago

Source: In Nutrition February 2025 130

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

Authors: Mogna-Peláez, Paola ^a, Riezu-Boj, José I. ^{a, b}, Milagro, Fermin I. ^{a, b, c}, Herrero, José I. ^{b, d, e}, Elorz, Mariana ^{b, f}, Benito-Boillos, Alberto ^{b, f}, Tobaruela-Resola, Ana Luz ^a, Tur, Josep A. ^{c, g}, Martínez, J Alfredo ^{c, h}, Abete, Itziar ^{a, b, c, 1}, Zulet, M. Angeles ^{a, b, c, ⁎, 1}

Source: In Clinical Nutrition July 2024 43(7):1770-1781

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

Authors: de Cuevillas, Begoña, Riezu-Boj, José I., Abete, Itziar, Zulet, M. Angeles, Galarregui, Cristina, Gonzalez-Navarro, Carlos J., Milagro, Fermín I., Martínez, J. Alfredo, Navas-Carretero, Santiago

Source: In Nutrition November-December 2022 103-104

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

Authors: Cuevas-Sierra, Amanda, Milagro, Fermín I., Guruceaga, Elizabeth, Cuervo, Marta, Goni, Leticia, García-Granero, Marta, Martinez, J. Alfredo, Riezu-Boj, Jose I.

Source: Clinical nutrition. 41(8):1712-1723

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100168345743.0x000001&indx=1&recIds=ETOCvdc_100168345743.0x000001

Changes in faecal microbiota in 6‐ to 12‐year‐old children after a new nutritional strategy: the ALINFA randomised controlled trial.

Authors: Andueza, Naroa^1,2 (AUTHOR), Riezu‐Boj, Jose I.^1,2,3 (AUTHOR), Clemente‐Larramendi, Iñigo^1,2 (AUTHOR), Cuervo, Marta^1,2,3 (AUTHOR), Navas‐Carretero, Santiago^1,2,3,4 (AUTHOR) snavas@unav.es

Source: International Journal of Food Science & Technology. Dec2024, Vol. 59 Issue 12, p9039-9050. 12p.

Subject Terms: *GUT microbiome, *CONTROL groups, *DIET, *ADVICE, *MEDITERRANEAN diet

Modeling of an integrative prototype based on genetic, phenotypic, and environmental information for personalized prescription of energy-restricted diets in overweight/obese subjects

Authors: Ramos-Lopez, Omar, Cuervo, Marta, Goni, Leticia, Milagro, Fermin I, Riezu-Boj, Jose I ^*, Martinez, J Alfredo

Source: In The American Journal of Clinical Nutrition February 2020 111(2):459-470

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

Authors: Ramos-Lopez, Omar, Milagro, Fermin I., Riezu-Boj, Jose I., Martinez, J. Alfredo

Source: Inflammation research. 70(1):29-49

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100191439490.0x000001&indx=1&recIds=ETOCvdc_100191439490.0x000001

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

Authors: Cuevas-Sierra, Amanda, Ramos-Lopez, Omar, Riezu-Boj, Jose I, Milagro, Fermin I, Martinez, J Alfredo ^*

Source: In Advances in Nutrition January 2019 10 Supplement 1:S17-S30

Association of the Gly482Ser PPARGC1A gene variant with different cholesterol outcomes in response to two energy-restricted diets in subjects with excessive weight

Authors: Ramos-Lopez, Omar, Riezu-Boj, Jose I., Milagro, Fermin I., Goni, Leticia, Cuervo, Marta, Martinez, Jose A. ^*

Source: In Nutrition March 2018 47:83-89

Association of low dietary folate intake with lower CAMKK2 gene methylation, adiposity, and insulin resistance in obese subjects

Authors: Ramos-Lopez, Omar, Samblas, Mirian, Milagro, Fermin I., Zulet, M. Angeles, Mansego, Maria L., Riezu-Boj, Jose I., Martinez, J. Alfredo

Source: In Nutrition Research February 2018 50:53-62

DNA methylation signatures at endoplasmic reticulum stress genes are associated with adiposity and insulin resistance

Authors: Ramos-Lopez, Omar, Riezu-Boj, Jose I., Milagro, Fermin I., Martinez, J. Alfredo

Source: In Molecular Genetics and Metabolism January 2018 123(1):50-58

Association of Methylation Signatures at Hepatocellular Carcinoma Pathway Genes with Adiposity and Insulin Resistance Phenotypes

Authors: Ramos-Lopez, Omar, Riezu-Boj, Jose I., Milagro, Fermin I., Alfredo Martinez, J.

Source: Nutrition and cancer. 71(5):840-851

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100080922104.0x000001&indx=1&recIds=ETOCvdc_100080922104.0x000001

Differential peripheral blood methylation by α-lipoic acid and EPA supplementation in overweight or obese women during a weight loss program

Authors: Huerta, Ana E., Riezu-Boj, José I., Milagro, Fermín I., Guruceaga, Elisabet, Moreno-Aliaga, María J., Alfredo Martínez, J.

Source: In Journal of Functional Foods September 2017 36:178-185

Circadian gene methylation profiles are associated with obesity, metabolic disturbances and carbohydrate intake

Authors: Ramos-Lopez, Omar, Samblas, Mirian, Milagro, Fermin I., Riezu-Boj, Jose I., Crujeiras, A.B., Martinez, J. Alfredo, Project, MENA

Source: Chronobiology international. 35(7):969-981

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100103082888.0x000001&indx=1&recIds=ETOCvdc_100103082888.0x000001

Endoplasmic reticulum stress epigenetics is related to adiposity, dyslipidemia, and insulin resistance

Authors: Ramos-Lopez, Omar, Riezu-Boj, Jose I., Milagro, Fermin I., Moreno-Aliaga, Maria J., Martinez, J. Alfredo

Source: Adipocyte. 7(2):137-142

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100067443292.0x000001&indx=1&recIds=ETOCvdc_100067443292.0x000001

Application of Gut Bacterial Profiling Information in Precision Nutrition for Obesity and Weight Loss Management.

Authors: Ramos-Lopez, Omar, Aranaz, Paula, Riezu-Boj, Jose I., Milagro, Fermin I.

Source: Lifestyle Genomics; 2024, Vol. 17 Issue 1, p22-30, 9p

Characterization of the CD40L/Oncostatin M/Oncostatin M receptor axis as an antiviral and immunostimulatory system disrupted in chronic HCV infection

Authors: Larrea, Esther, Echeverria, Itziar, Riezu-Boj, Jose-I., Aldabe, Rafael, Guembe, Laura, Sola, Iosu, Civeira, María Pilar, Sarobe, Pablo, Prieto, Jesus

Source: In Journal of Hepatology March 2014 60(3):482-489

Associations between olfactory pathway gene methylation marks, obesity features and dietary intakes

Authors: Ramos-Lopez, Omar, Riezu-Boj, Jose I., Milagro, Fermin I., Zulet, M. Angeles, Santos, Jose L., Martinez, J. Alfredo

Source: Genes & nutrition. 14(1)

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100124769387.0x000001&indx=1&recIds=ETOCvdc_100124769387.0x000001

Tumor therapy in mice by using a tumor antigen linked to modulin peptides from Staphylococcus epidermidis

Authors: Durantez, Maika, Fayolle, Catherine, Casares, Noelia, Belsue, Virginia, Riezu-Boj, José I., Sarobe, Pablo, Prieto, Jesús, Borrás-Cuesta, Francisco, Leclerc, Claude, Lasarte, Juan J.

Source: In Vaccine 18 October 2010 28(44):7146-7154

Prediction of Blood Lipid Phenotypes Using Obesity-Related Genetic Polymorphisms and Lifestyle Data in Subjects with Excessive Body Weight.

Authors: Ramos-Lopez, Omar¹, Riezu-Boj, Jose I.^1,2, Milagro, Fermin I.^1,3, Cuervo, Marta^1,2,3, Goni, Leticia¹, Martinez, J. A.^1,2,3,4

Source: International Journal of Genomics. 11/19/2018, p1-10. 10p. 1 Diagram, 2 Charts, 1 Graph.

Subject Terms: *BLOOD lipids, *GENETIC polymorphisms, *BODY weight, *PHENOTYPES, *LOW density lipoproteins, *TRIGLYCERIDES