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Martínez-Urbistondo D, Perez-Diaz-Del-Campo N, Landecho MF, Martínez JA. Alcohol Drinking Impacts on Adiposity and Steatotic Liver Disease: Concurrent Effects on Metabolic Pathways and Cardiovascular Risks. Curr Obes Rep 2024:10.1007/s13679-024-00560-5. [PMID: 38520634 DOI: 10.1007/s13679-024-00560-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2024] [Indexed: 03/25/2024]
Abstract
PURPOSE OF REVIEW This integrative search aimed to provide a scoping overview of the relationships between the benefits and harms of alcohol drinking with cardiovascular events as associated to body fat mass and fatty liver diseases, as well as offering critical insights for precision nutrition research and personalized medicine implementation concerning cardiovascular risk management associated to ethanol consumption. RECENT FINDINGS Frequent alcohol intake could contribute to a sustained rise in adiposity over time. Body fat distribution patterns (abdominal/gluteus-femoral) and intrahepatic accumulation of lipids have been linked to adverse cardiovascular clinical outcomes depending on ethanol intake. Therefore, there is a need to understand the complex interplay between alcohol consumption, adipose store distribution, metabolic dysfunction-associated steatotic liver disease (MASLD), and cardiovascular events in adult individuals. The current narrative review deals with underconsidered and apparently conflicting benefits concerning the amount of alcohol intake, ranging from abstention to moderation, and highlights the requirements for additional robust methodological studies and trials to interpret undertrained and existing controversies. The conclusion of this review emphasizes the need of newer multifaceted clinical approaches for precision medicine implementation, considering epidemiological strategies and pathophysiological mechanistic. Newer investigations and trials should be derived and performed particularly focusing both on alcohol's objective consequences as putatively mediated by fat deposition, including associated roles in fatty liver disease as well as to differentiate the impact of different levels of alcohol consumption (absence or moderation) concerning cardiovascular risks and accompanying clinical manifestations. Indeed, the threshold for the safe consumption of alcoholic drinks remains to be fully elucidated.
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Affiliation(s)
- Diego Martínez-Urbistondo
- Departamento de Medicina Interna, Area de Medicina Vascular-Madrid, Clinica Universidad de Navarra, Madrid, Spain
| | | | - Manuel F Landecho
- Obesity and General Health Check-Up Area, Internal Medicine Department, Clínica Universidad de Navarra, Pamplona, Spain
| | - J Alfredo Martínez
- Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.
- Precision Nutrition Program, Research Institute on Food and Health Sciences IMDEA Food, CSIC-UAM, Madrid, Spain.
- Centre of Medicine and Endocrinology, University of Valladolid, Valladolid, Spain.
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Risco-Risco C, Martínez-Urbistondo D, Suárez Del Villar R, Ayerbe García-Monzón L, Pérez-Rubio A, Barberán-López J, Andaluz-Ojeda D, Villares Fernández P. Influence of epidemiological and clinical factors in the reactogenicity to Comirnaty® vaccine in health care workers of a Spanish university teaching hospital (COVIVAC study). Rev Esp Quimioter 2023. [PMID: 37119130 DOI: 10.37201/req/017.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
OBJECTIVE Comirnaty® is an mRNA vaccine against COVID-19 which has been administered to millions of people since the end of 2020. Our aim was to study epidemiological and clinical factors influencing reactogenicity and functional limitation after the first two doses of the vaccine in health care workers (HCWs). METHODS Prospective post-authorization cohort study to monitor safety and effectiveness of the vaccine. RESULTS Local side effects were mild and presented both with first and second dose of Comirnaty. Systemic side effects were more frequent after 2nd dose. Nevertheless, previous SARS-CoV-2 infection was associated with systemic effects after the first dose of the vaccine (OR ranging from 2 to 6). No severe adverse effects were reported. According to multivariate analysis, the degree of self-reported functional limitation after the first dose increased with age, female sex, previous COVID-19 contact, previous SARS-CoV-2 infection, and Charlson Comorbidity Index (CCI). After the second dose, the degree of functional limitation observed was lower in those with previous SARS-CoV-2 infection, and it was positively associated to the degree of functional limitation after the first dose. CONCLUSIONS Systemic adverse effects were more frequent after the second dose of Comirnaty. Previous SARS-CoV-2 infection was associated with systemic effects after the first dose. Age, female sex, previous COVID-19, previous isolation due to COVID-19 contact, and CCI showed to be independent predictors of the degree of functional limitation after the 1st dose of Comirnaty®. After the 2nd dose, the degree of functional limitation was lower in those who previously had SARS-CoV-2 infection.
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Affiliation(s)
| | | | | | | | | | | | - D Andaluz-Ojeda
- David Andaluz-Ojeda, Intensive Care Department, HM Sanchinarro University Hospital, Madrid, Spain.
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Risco Risco C, Herrador Z, Lopez-Perea N, Martínez-Urbistondo D, Del Villar Carrero RS, Masa-Calles J. Epidemiology of Herpes Zoster in the pre-vaccination era: establishing the baseline for vaccination programme's impact in Spain. Euro Surveill 2023; 28:2200390. [PMID: 36820639 PMCID: PMC9951257 DOI: 10.2807/1560-7917.es.2023.28.8.2200390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
BackgroundHerpes zoster (HZ) affects 1 in 3 persons in their lifetime, and the risk of HZ increases with increasing age and the presence of immunocompromising conditions. In Spain, vaccination guidelines were recently updated to include the recommendation of the new recombinant zoster vaccine (RZV) for certain risk groups.AimTo describe the epidemiology of HZ-related hospitalisations in Spain in order to prioritise vaccination recommendations and define a baseline to monitor the effectiveness of vaccination policies.MethodsRetrospective study using the National Health System's Hospital Discharge Records Database, including all HZ-related hospitalisations from 1998 to 2018.ResultsThe 65,401 HZ-related hospitalisations, corresponded to an annual mean hospitalisation rate of 6.75 per 100,000 population. There was an increasing trend of HZ hospitalisations over the study period. This rate was higher in males and older age groups, particularly over 65 years. Comorbidities with higher risk of readmission were leukaemia/lymphoma (RR 2.4; 95% CI: 2.3-2.6) and solid malignant neoplasm (RR 2.2; 95% CI: 2.1-2.4). Comorbidities associated with higher risk of mortality were leukaemia/lymphoma (RR 2.9; 95% CI: 2.7-3.2), solid malignant neoplasm (RR 2.9; 95% CI: 2.7-3.1) and HIV infection (RR 2.2; 95% CI: 1.8-2.7).ConclusionOf all patients hospitalised with HZ, those with greater risk of mortality or readmission belonged to the groups prioritised by the current vaccination recommendations of the Spanish Ministry of Health. Our study provided relevant information on clinical aspects of HZ and established the base for future assessments of vaccination policies.
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Affiliation(s)
| | - Zaida Herrador
- National Centre of Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Noemí Lopez-Perea
- National Centre of Epidemiology, Carlos III Institute of Health, Madrid, Spain.,CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | | | - Josefa Masa-Calles
- National Centre of Epidemiology, Carlos III Institute of Health, Madrid, Spain.,CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
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Garcia-Donas J, Martínez-Urbistondo D, Velázquez Kennedy K, Villares P, Barquin A, Dominguez A, Rodriguez-Moreno JF, Caro E, Suarez del Villar R, Nistal-Villan E, Yagüe M, Ortiz M, Barba M, Ruiz-Llorente S, Quiralte M, Zanin M, Rodríguez C, Navarro P, Berraondo P, Madurga R. Randomized phase II clinical trial of ruxolitinib plus simvastatin in COVID19 clinical outcome and cytokine evolution. Front Immunol 2023; 14:1156603. [PMID: 37143685 PMCID: PMC10151807 DOI: 10.3389/fimmu.2023.1156603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 03/27/2023] [Indexed: 05/06/2023] Open
Abstract
Background Managing the inflammatory response to SARS-Cov-2 could prevent respiratory insufficiency. Cytokine profiles could identify cases at risk of severe disease. Methods We designed a randomized phase II clinical trial to determine whether the combination of ruxolitinib (5 mg twice a day for 7 days followed by 10 mg BID for 7 days) plus simvastatin (40 mg once a day for 14 days), could reduce the incidence of respiratory insufficiency in COVID-19. 48 cytokines were correlated with clinical outcome. Participants Patients admitted due to COVID-19 infection with mild disease. Results Up to 92 were included. Mean age was 64 ± 17, and 28 (30%) were female. 11 (22%) patients in the control arm and 6 (12%) in the experimental arm reached an OSCI grade of 5 or higher (p = 0.29). Unsupervised analysis of cytokines detected two clusters (CL-1 and CL-2). CL-1 presented a higher risk of clinical deterioration vs CL-2 (13 [33%] vs 2 [6%] cases, p = 0.009) and death (5 [11%] vs 0 cases, p = 0.059). Supervised Machine Learning (ML) analysis led to a model that predicted patient deterioration 48h before occurrence with a 85% accuracy. Conclusions Ruxolitinib plus simvastatin did not impact the outcome of COVID-19. Cytokine profiling identified patients at risk of severe COVID-19 and predicted clinical deterioration. Trial registration https://clinicaltrials.gov/, identifier NCT04348695.
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Affiliation(s)
- Jesus Garcia-Donas
- Gynecological, Genitourinary and Skin Cancer Unit HM CIOCC MADRID (Centro Integral Oncológico Clara Campal), Department of Basic Medical Sciences, Hospital Universitario HM Sanchinarro, HM Hospitales, Institute of Applied Molecular Medicine (IMMA), Facultad de Medicina, Universidad San Pablo CEU, CEU Universities, Madrid, Spain
- *Correspondence: Jesus Garcia-Donas, ;
| | | | | | - Paula Villares
- Internal Medicine Service Hospital HM Sanchinarro, Madrid, Spain
| | - Arántzazu Barquin
- Gynecological, Genitourinary and Skin Cancer Unit HM CIOCC MADRID (Centro Integral Oncológico Clara Campal), Department of Basic Medical Sciences, Hospital Universitario HM Sanchinarro, HM Hospitales, Institute of Applied Molecular Medicine (IMMA), Facultad de Medicina, Universidad San Pablo CEU, CEU Universities, Madrid, Spain
| | - Andrea Dominguez
- Internal Medicine Service Hospital HM Sanchinarro, Madrid, Spain
| | - Juan Francisco Rodriguez-Moreno
- Gynecological, Genitourinary and Skin Cancer Unit HM CIOCC MADRID (Centro Integral Oncológico Clara Campal), Department of Basic Medical Sciences, Hospital Universitario HM Sanchinarro, HM Hospitales, Institute of Applied Molecular Medicine (IMMA), Facultad de Medicina, Universidad San Pablo CEU, CEU Universities, Madrid, Spain
| | - Elena Caro
- Internal Medicine Service Hospital HM Sanchinarro, Madrid, Spain
| | | | - Estanislao Nistal-Villan
- Microbiology Section, Dpto. CC, Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, Madrid, Spain
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, Madrid, Spain
| | - Monica Yagüe
- Laboratory of Innovation in Oncology HM CIOCC MADRID (Centro Integral Oncológico Clara Campal), Department of Basic Medical Sciences, Facultad de Medicina, Hospital Universitario HM Sanchinarro, HM Hospitales, Institute of Applied Molecular Medicine (IMMA), Universidad San Pablo CEU, CEU Universities, Madrid, Spain
| | - Maria Ortiz
- Clinical Trials Pharmacy, Clara Campal Comprehensive Cancer Center, Hospital Universitario de Sanchinarro, Madrid, Spain
| | - Maria Barba
- Laboratory of Innovation in Oncology HM CIOCC MADRID (Centro Integral Oncológico Clara Campal), Department of Basic Medical Sciences, Facultad de Medicina, Hospital Universitario HM Sanchinarro, HM Hospitales, Institute of Applied Molecular Medicine (IMMA), Universidad San Pablo CEU, CEU Universities, Madrid, Spain
| | - Sergio Ruiz-Llorente
- Laboratory of Innovation in Oncology HM CIOCC MADRID (Centro Integral Oncológico Clara Campal), Department of Basic Medical Sciences, Facultad de Medicina, Hospital Universitario HM Sanchinarro, HM Hospitales, Institute of Applied Molecular Medicine (IMMA), Universidad San Pablo CEU, CEU Universities, Madrid, Spain
| | - Miguel Quiralte
- Laboratory of Innovation in Oncology HM CIOCC MADRID (Centro Integral Oncológico Clara Campal), Department of Basic Medical Sciences, Facultad de Medicina, Hospital Universitario HM Sanchinarro, HM Hospitales, Institute of Applied Molecular Medicine (IMMA), Universidad San Pablo CEU, CEU Universities, Madrid, Spain
| | - Massimiliano Zanin
- Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Palma de Mallorca, Spain
| | - Cristina Rodríguez
- Grupo de Cáncer Endocirno, Centro Nacional de Investigaciones Oncológicas, Madrid, Spain
| | - Paloma Navarro
- Laboratory of Innovation in Oncology HM CIOCC MADRID (Centro Integral Oncológico Clara Campal), Department of Basic Medical Sciences, Facultad de Medicina, Hospital Universitario HM Sanchinarro, HM Hospitales, Institute of Applied Molecular Medicine (IMMA), Universidad San Pablo CEU, CEU Universities, Madrid, Spain
| | - Pedro Berraondo
- Program of Immunology and Immunotherapy, Cima Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IDISNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Rodrigo Madurga
- Faculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain
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5
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Díez-Ricote L, San-Cristobal R, Concejo MJ, Martínez-González MÁ, Corella D, Salas-Salvadó J, Goday A, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Martín Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Mas Fontao S, Ros E, Vázquez-Ruiz Z, Ortega-Azorín C, García-Gavilán JF, Malcampo M, Martínez-Urbistondo D, Tojal-Sierra L, García Rodríguez A, Gómez-Bellvert N, Chaplin A, García-Ríos A, Bernal-López RM, Santos-Lozano JM, Basterra-Gortari J, Sorlí JV, Murphy M, Gasulla G, Micó V, Salaverria-Lete I, Goñi Ochandorena E, Babio N, Herraiz X, Ordovás JM, Daimiel L. One-year longitudinal association between changes in dietary choline or betaine intake and cardiometabolic variables in the PREvención con DIeta MEDiterránea-Plus (PREDIMED-Plus) trial. Am J Clin Nutr 2022; 116:1565-1579. [PMID: 36124652 PMCID: PMC9761742 DOI: 10.1093/ajcn/nqac255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 09/09/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Choline and betaine intakes have been related to cardiovascular health. OBJECTIVES We aimed to explore the relation between 1-y changes in dietary intake of choline or betaine and 1-y changes in cardiometabolic and renal function traits within the frame of the PREDIMED (PREvención con DIeta MEDiterránea)-Plus trial. METHODS We used baseline and 1-y follow-up data from 5613 participants (48.2% female and 51.8% male; mean ± SD age: 65.01 ± 4.91 y) to assess cardiometabolic traits, and 3367 participants to assess renal function, of the Spanish PREDIMED-Plus trial. Participants met ≥3 criteria of metabolic syndrome and had overweight or obesity [BMI (in kg/m2) ≥27 and ≤40]. These criteria were similar to those of the PREDIMED parent study. Dietary intakes of choline and betaine were estimated from the FFQ. RESULTS The greatest 1-y increase in dietary choline or betaine intake (quartile 4) was associated with improved serum glucose concentrations (-3.39 and -2.72 mg/dL for choline and betaine, respectively) and HbA1c levels (-0.10% for quartile 4 of either choline or betaine intake increase). Other significant changes associated with the greatest increase in choline or betaine intake were reduced body weight (-2.93 and -2.78 kg, respectively), BMI (-1.05 and -0.99, respectively), waist circumference (-3.37 and -3.26 cm, respectively), total cholesterol (-4.74 and -4.52 mg/dL, respectively), and LDL cholesterol (-4.30 and -4.16 mg/dL, respectively). Urine creatinine was reduced in quartile 4 of 1-y increase in choline or betaine intake (-5.42 and -5.74 mg/dL, respectively). CONCLUSIONS Increases in dietary choline or betaine intakes were longitudinally related to improvements in cardiometabolic parameters. Markers of renal function were also slightly improved, and they require further investigation.This trial was registered at https://www.isrctn.com/ as ISRCTN89898870.
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Affiliation(s)
- Laura Díez-Ricote
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Rodrigo San-Cristobal
- Cardiometabolic Health Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | | | - Miguel Á Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
- Unit of Preventive Medicine & Public Health, Faculty of Medicine & Health Sciences, Universitat Rovira i Virgili, Reus, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - J Alfredo Martínez
- Cardiometabolic Health Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Center for Nutrition Research, Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute; Araba University Hospital, Osakidetza Basque Health Service; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Institute of Health and Biomedical Research of Alicante, Miguel Hernández University (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Málaga Biomedical Research Institute (IBIMA), University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Sevilla Primary Care Health District, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Maternal and Child Insular University Hospital Center (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Bellvitge University Hospital, Barcelona, Spain
| | - José J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Department of Health Sciences, University Institute for Research on Olives and Olive Oils, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, San Carlos Clinical Hospital Institute of Health Research (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Sebastián Mas Fontao
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Jimenez Díaz Foundation Hospital Biomedical Research Institute (IISFJD), Autonomous University of Madrid, Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Zenaida Vázquez-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
- Endocrinology Service, Navarra Hospital Complex, Osasunbidea, Navarro Health Service, Pamplona, Spain
| | - Carolina Ortega-Azorín
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jesús F García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Mireia Malcampo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute; Araba University Hospital, Osakidetza Basque Health Service; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Antonio García Rodríguez
- Division of Preventive Medicine and Public Health, University of Malaga, Institute of Biomedical Research in Málaga (IBIMA-University of Malaga), Málaga, Spain
| | | | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Rosa M Bernal-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Málaga Biomedical Research Institute (IBIMA), University of Málaga, Málaga, Spain
| | - José M Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Sevilla Primary Care Health District, Sevilla, Spain
| | - Javier Basterra-Gortari
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
- Endocrinology Service, Navarra Hospital Complex, Osasunbidea, Navarro Health Service, Pamplona, Spain
| | - José V Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Michelle Murphy
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Griselda Gasulla
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
| | - Víctor Micó
- Cardiometabolic Health Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Itziar Salaverria-Lete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute; Araba University Hospital, Osakidetza Basque Health Service; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Estibaliz Goñi Ochandorena
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Xavier Herraiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
| | - José M Ordovás
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
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6
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Martínez JA, Alonso-Bernáldez M, Martínez-Urbistondo D, Vargas-Nuñez JA, Ramírez de Molina A, Dávalos A, Ramos-Lopez O. Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases. World J Gastroenterol 2022; 28:6230-6248. [PMID: 36504554 PMCID: PMC9730439 DOI: 10.3748/wjg.v28.i44.6230] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 10/07/2022] [Accepted: 11/17/2022] [Indexed: 11/25/2022] Open
Abstract
The liver is a key organ involved in a wide range of functions, whose damage can lead to chronic liver disease (CLD). CLD accounts for more than two million deaths worldwide, becoming a social and economic burden for most countries. Among the different factors that can cause CLD, alcohol abuse, viruses, drug treatments, and unhealthy dietary patterns top the list. These conditions prompt and perpetuate an inflammatory environment and oxidative stress imbalance that favor the development of hepatic fibrogenesis. High stages of fibrosis can eventually lead to cirrhosis or hepatocellular carcinoma (HCC). Despite the advances achieved in this field, new approaches are needed for the prevention, diagnosis, treatment, and prognosis of CLD. In this context, the scientific com-munity is using machine learning (ML) algorithms to integrate and process vast amounts of data with unprecedented performance. ML techniques allow the integration of anthropometric, genetic, clinical, biochemical, dietary, lifestyle and omics data, giving new insights to tackle CLD and bringing personalized medicine a step closer. This review summarizes the investigations where ML techniques have been applied to study new approaches that could be used in inflammatory-related, hepatitis viruses-induced, and coronavirus disease 2019-induced liver damage and enlighten the factors involved in CLD development.
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Affiliation(s)
- J Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, Madrid Institute of Advanced Studies-Food Institute, Madrid 28049, Spain
| | - Marta Alonso-Bernáldez
- Precision Nutrition and Cardiometabolic Health, Madrid Institute of Advanced Studies-Food Institute, Madrid 28049, Spain
| | | | - Juan A Vargas-Nuñez
- Servicio de Medicina Interna, Hospital Universitario Puerta de Hierro Majadahonda, Madrid 28222, Majadahonda, Spain
| | - Ana Ramírez de Molina
- Molecular Oncology and Nutritional Genomics of Cancer, Madrid Institute of Advanced Studies-Food Institute, Madrid 28049, Spain
| | - Alberto Dávalos
- Laboratory of Epigenetics of Lipid Metabolism, Madrid Institute of Advanced Studies-Food Institute, Madrid 28049, Spain
| | - Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Baja California, Mexico
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7
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Perez-Diaz-Del-Campo N, Martínez-Urbistondo D, Bugianesi E, Martínez JA. Diagnostic scores and scales for appraising Nonalcoholic fatty liver disease and omics perspectives for precision medicine. Curr Opin Clin Nutr Metab Care 2022; 25:285-291. [PMID: 35788123 DOI: 10.1097/mco.0000000000000849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Nonalcoholic fatty liver disease (NAFLD) is a rising epidemic burden affecting around 25% of the global population. Liver biopsy remains the reference for NAFLD. However, the application of several scales and clinical algorithms have been proposed to diagnose NAFLD using prediction questions and blood biomarkers. This review presents a summarized of the currently available and emerging diagnostic biomarkers and scores used to assess NAFLD. RECENT FINDINGS The limitations of liver biopsy have fostered the development of alternative noninvasive strategies, which have been an area of intensive investigation over the past years. Diagnostic scores for NAFLD have shown to be a good alternative for disease diagnosis and prognosis due to a suitable applicability, good inter-laboratory reproducibility and widespread potential availability with reasonable costs. SUMMARY The growing NAFLD pandemic urges clinicians to seek alternatives for screening, early diagnosis, and follow-up, especially for those with contraindications for liver biopsy. New promising noninvasive biomarkers and techniques have been developed, evaluated and assessed, including diagnostic biomarkers scores. Moreover, multiomics markers panels involving phenotype, genotype, microbiome and clinical characteristics from patients will facilitate the diagnosis, stratification and prognosis of NAFLD patients with precision medicine approaches.
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Affiliation(s)
| | | | | | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red de La Fisiopatología de La Obesidad Y Nutrición (CIBERobn), Carlos III Health Institute
- Madrid Institute of Advanced Studies (IMDEA Food), Food Institute, Madrid, Spain
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8
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Martínez-Urbistondo D, de la Garza RG, Villares-Fernández P, Font C, Schellong S, López-Núñez JJ, Gil-Díaz A, Del Carmen Díaz-Pedroche M, Hirmerova J, Monreal M. Liver status and outcomes in patients without previous known liver disease receiving anticoagulant therapy for venous thromboembolism. Intern Emerg Med 2022; 17:725-734. [PMID: 34626318 PMCID: PMC8501936 DOI: 10.1007/s11739-021-02858-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 09/23/2021] [Indexed: 12/13/2022]
Abstract
The association between elevated liver enzymes or FIB-4 (fibrosis index 4) and outcome in patients with venous thromboembolism (VTE) has not been evaluated. Data from patients in RIETE (Registro Informatizado Enfermedad TromboEmbólica) were used to assess the association between elevated liver enzymes or FIB-4 levels and the rates of major bleeding or death in apparent liver disease-free patients with acute VTE under anticoagulation therapy. A total of 6206 patients with acute VTE and without liver disease were included. Of them, 92 patients had major bleeding and 168 died under anticoagulation therapy. On multivariable analysis, patients with elevated liver enzymes were at increased mortality risk (HR: 1.58; 95% CI: 1.10-2.28), while those with FIB-4 levels > 2.67 points were at increased risk for major bleeding (HR: 1.69; 95% CI: 1.04-2.74). Evaluation of liver enzymes and FIB-4 index at baseline in liver disease-free patients with VTE may provide additional information on the risk for major bleeding or death during anticoagulation.
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Affiliation(s)
| | - Rocío G de la Garza
- Internal Medicine Department, HM Sanchinarro, HM Hospitales, C/Oña 10, 28050, Madrid, Spain
| | | | - Carme Font
- Department of Medical Oncology, Hospital Clínic, Barcelona, Spain
| | - Sebastian Schellong
- Department of Medical Clinic, Municipal Hospital of Dresden Friedrichstad, Dresden, Germany
| | - Juan José López-Núñez
- Department of Internal Medicine, Hospital Germans Trias I Pujol, Badalona, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Aída Gil-Díaz
- Department of Internal Medicine, Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas, Spain
| | | | - Jana Hirmerova
- Department of Internal Medicine, University Hospital Plzen, Plzen, Czech Republic
| | - Manuel Monreal
- Department of Internal Medicine, Hospital Germans Trias I Pujol, Badalona, Barcelona, Spain
- Chair for the Study of Thromboembolic Disease, Faculty of Health Sciences, UCAM-Universidad Católica San Antonio de Murcia, Murcia, Spain
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9
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Martínez-Urbistondo D, San-Cristóbal R, Villares P, Martínez-González MÁ, Babio N, Corella D, del Val JL, Ordovás JM, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Marcos A, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Ros E, Bullón Vela MV, Palau A, Sorli JV, Masagué M, Abete I, Moreno-Rodríguez A, Candela-García I, Konieczna J, García-Ríos A, Juárez OL, Portolés O, Martín P, Goday A, Zulet MÁ, Vaquero-Luna J, Orea MDCS, Megías I, Baltasar E, Martínez JA, Daimiel L. Role of NAFLD on the Health Related QoL Response to Lifestyle in Patients With Metabolic Syndrome: The PREDIMED Plus Cohort. Front Endocrinol (Lausanne) 2022; 13:868795. [PMID: 35846291 PMCID: PMC9276971 DOI: 10.3389/fendo.2022.868795] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/26/2022] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVE To evaluate the effect of Non-alcoholic fatty liver disease (NAFLD) status in the impact of lifestyle over Health-related quality of life (HRQoL) in patients with metabolic syndrome (MetS). METHODS Baseline and 1 year follow up data from the PREDIMED-plus cohort (men and women, 55-75 years old with overweight/obesity and MetS) were studied. Adherence to an energy-restricted Mediterranean Diet (er-MeDiet) and Physical Activity (PA) were assessed with a validated screeners. Hepatic steatosis index (HSI) was implemented to evaluate NAFLD while the SF-36 questionnaire provided HRQoL evaluation. Statistical analyses were performed to evaluate the influence of baseline NAFLD on HRQoL as affected by lifestyle during 1 year of follow up. RESULTS Data from 5205 patients with mean age of 65 years and a 48% of female participants. Adjusted linear multivariate mixed regression models showed that patients with lower probability of NAFLD (HSI < 36 points) were more responsive to er-MeDiet (β 0.64 vs β 0.05 per er-MeDiet adherence point, p< 0.01) and PA (β 0.05 vs β 0.01 per MET-h/week, p = 0.001) than those with high probability for NAFLD in terms Physical SF-36 summary in the 1 year follow up. 10 points of er-MeDiet adherence and 50 MET-h/week were thresholds for a beneficial effect of lifestyle on HRQoL physical domain in patients with lower probability of NAFLD. CONCLUSION The evaluation of NAFLD by the HSI index in patients with MetS might identify subjects with different prospective sensitivity to lifestyle changes in terms of physical HRQoL (http://www.isrctn.com/ISRCTN89898870).
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Affiliation(s)
- Diego Martínez-Urbistondo
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, Madrid, Spain
- *Correspondence: Diego Martínez-Urbistondo,
| | - Rodrigo San-Cristóbal
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Paula Villares
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - José Luis del Val
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - José Ma Ordovás
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program. Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
- Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture (JM_USDA) Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Ángel M. Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J. Luís Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Institute of Biomedical and Health Sciences Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), University of Las Palmas de Gran Canaria, Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A. Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Alba Marcos
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Departamento de Ciencias de la Salud, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Endocrinology and Nutrition Service, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD. University Autónoma, Madrid, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Endocrinology and Nutrition Service, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - María Vanessa Bullón Vela
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Antoni Palau
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Jose V. Sorli
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Marta Masagué
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
| | - Anai Moreno-Rodríguez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | | | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Oscar Lecea Juárez
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Olga Portolés
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Paco Martín
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - M Ángeles Zulet
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
| | - Jessica Vaquero-Luna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - María del Carmen Sayón Orea
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Isabel Megías
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Enric Baltasar
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - J. Alfredo Martínez
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program. Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
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Martínez-Urbistondo D, San-Cristóbal R, Villares P, Martínez-González MÁ, Babio N, Corella D, del Val JL, Ordovás JM, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Marcos A, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Ros E, Vela MVB, Palau A, Sorli JV, Masagué M, Abete I, Moreno-Rodríguez A, Candela-García I, Konieczna J, García-Ríos A, Juárez OL, Portolés O, Martín P, Goday A, Zulet MÁ, Vaquero-Luna J, Orea MDCS, Megías I, Baltasar E, Martínez JA, Daimiel L. Corrigendum: Role of NAFLD on the health related QoL response to lifestyle in patients with metabolic syndrome: The PREDIMED plus cohort. Front Endocrinol (Lausanne) 2022; 13:1113532. [PMID: 36714565 PMCID: PMC9875723 DOI: 10.3389/fendo.2022.1113532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 01/13/2023] Open
Abstract
[This corrects the article DOI: 10.3389/fendo.2022.868795.].
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Affiliation(s)
- Diego Martínez-Urbistondo
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, Madrid, Spain
- *Correspondence: Diego Martínez-Urbistondo,
| | - Rodrigo San-Cristóbal
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Paula Villares
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - José Luis del Val
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - José Ma Ordovás
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program. Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
- Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture (JM_USDA) Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Ángel M. Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH)., Alicante, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Department of Internal Medicine, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J. Luís Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Research Institute of Biomedical and Health Sciences Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), University of Las Palmas de Gran Canaria, Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A. Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Alba Marcos
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Departamento de Ciencias de la Salud, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Endocrinology and Nutrition Service, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD. University Autónoma, Madrid, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Endocrinology and Nutrition Service, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - María Vanessa Bullón Vela
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
| | - Antoni Palau
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Jose V. Sorli
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Marta Masagué
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Anai Moreno-Rodríguez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Inma Candela-García
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
| | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Oscar Lecea Juárez
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
| | - Olga Portolés
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Paco Martín
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Centro de Salud San Pola, Alicante, Spain
| | - M. Ángeles Zulet
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jessica Vaquero-Luna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - María del Carmen Sayón Orea
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
| | - Isabel Megías
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Enric Baltasar
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - J. Alfredo Martínez
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII)., Madrid, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program. Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
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Martínez-Urbistondo D, Costa Segovia R, Suárez Del Villar Carrero R, Risco Risco C, Villares Fernández P. Early Combination of Tocilizumab and Corticosteroids: An Upgrade in Anti-inflammatory Therapy for Severe Coronavirus Disease (COVID). Clin Infect Dis 2021; 72:1682-1683. [PMID: 32621739 PMCID: PMC7543327 DOI: 10.1093/cid/ciaa910] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Affiliation(s)
| | | | | | - Carlos Risco Risco
- Internal Medicine Department, HM Sanchinarro, HM Hospitales, Madrid, Spain
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Martínez-Urbistondo D, Argemí J, Martínez JA. Control del riesgo cardiovascular, la enfermedad metabólica y la esteatosis hepática a través del empoderamiento de la salud: una propuesta de futuro. Clin Investig Arterioscler 2020; 32:206-208. [PMID: 33023724 DOI: 10.1016/j.arteri.2020.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 06/11/2023]
Affiliation(s)
| | - Josepmaría Argemí
- Liver Unit. Clínica Universidad de Navarra. Hepatology Program. Centro de Investigación Médica Aplicada. Universidad de Navarra. Pamplona
| | - Jose Alfredo Martínez
- Centro de Nutrición. Universidad de Navarra Pamplona, IMDEA Madrid y CIBEROBN: Fisiopatología de la Obesidad y Nutrición: Instituto Carlos III, Madrid
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Sangro B, Martínez-Urbistondo D, Bester L, Bilbao JI, Coldwell DM, Flamen P, Kennedy A, Ricke J, Sharma RA. Prevention and treatment of complications of selective internal radiation therapy: Expert guidance and systematic review. Hepatology 2017; 66:969-982. [PMID: 28407278 DOI: 10.1002/hep.29207] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 02/02/2017] [Accepted: 03/02/2017] [Indexed: 02/06/2023]
Abstract
Selective internal radiation therapy (or radioembolization) by intra-arterial injection of radioactive yttrium-90-loaded microspheres is increasingly used for the treatment of patients with liver metastases or primary liver cancer. The high-dose beta-radiation penetrates an average of only 2.5 mm from the source, thus limiting its effects to the site of delivery. However, the off-target diversion of yttrium-90 microspheres to tissues other than the tumor may lead to complications. The most prominent of these complications include radiation gastritis and gastrointestinal ulcers, cholecystitis, radiation pneumonitis, and radioembolization-induced liver disease, which may occur despite careful pretreatment planning. Thus, selective internal radiation therapy demands an expert multidisciplinary team approach in order to provide comprehensive care for patients. This review provides recommendations to multidisciplinary teams on the optimal medical processes in order to ensure the safe delivery of selective internal radiation therapy. Based on the best available published evidence and expert opinion, we recommend the most appropriate strategies for the prevention, early diagnosis, and management of potential radiation injury to the liver and to other organs. (Hepatology 2017;66:969-982).
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Affiliation(s)
- Bruno Sangro
- Liver Unit, Clinica Universidad de Navarra and Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Pamplona, Spain
| | - Diego Martínez-Urbistondo
- Liver Unit, Clinica Universidad de Navarra and Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
| | - Lourens Bester
- Department of Interventional Radiology, University of New South Wales St. Vincent's Hospital, Darlinghurst, Australia
| | - Jose I Bilbao
- Department of Radiology, Clínica Universidad de Navarra and Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
| | - Douglas M Coldwell
- James Graham Brown Cancer Center, University of Louisville, Louisville, KY
| | - Patrick Flamen
- Department of Nuclear Medicine, Jules Bordet Institute, Brussels, Belgium
| | - Andrew Kennedy
- Radiation Oncology, Sarah Cannon Research Institute, Nashville, TN
| | - Jens Ricke
- Department of Radiology and Nuclear Medicine, Otto-von-Guericke University, Magdeburg, Germany
| | - Ricky A Sharma
- University College London, UCL Cancer Institute, London, UK
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14
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Aguiar D, Martínez-Urbistondo D, Baroja-Mazo A, de la Mata M, Rodríguez-Perálvarez M, Rubín A, Puchades L, Serrano T, Montero J, Cuadrado A, Casafont F, Salcedo M, Rincón D, Pons JA, Herrero JI. Real-World Multicenter Experience of Immunosuppression Minimization Among 661 Liver Transplant Recipients. Ann Transplant 2017; 22:265-275. [PMID: 28461684 PMCID: PMC6248177 DOI: 10.12659/aot.902523] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 12/30/2016] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Long-term morbidity and mortality in liver transplant recipients is frequently secondary to immunosuppression toxicity. However, data are scarce regarding immunosuppression minimization in clinical practice. MATERIAL AND METHODS In this cross-sectional, multicenter study, we reviewed the indications of immunosuppression minimization (defined as tacrolimus levels below 5 ng/mL or cyclosporine levels below 50 ng/mL) among 661 liver transplant recipients, as well as associated factors and the effect on renal function. RESULTS Fifty-three percent of the patients received minimized immunosuppression. The median time from transplantation to minimization was 32 months. The most frequent indications were renal insufficiency (49%), cardiovascular risk (19%), de novo malignancy (8%), and cardiovascular disease (7%). The factors associated with minimization were older age at transplantation, longer post-transplant follow-up, pre-transplant diabetes mellitus and renal dysfunction, and the hospital where the patients were being followed. The patients who were minimized because of renal insufficiency had a significant improvement in renal function (decrease of the median serum creatinine level, from 1.50 to 1.34 mg/dL; P=0.004). Renal function significantly improved in patients minimized for other indications, too. In the long term, glomerular filtration rate significantly decreased in non-minimized patients and remained stable in minimized patients. CONCLUSIONS Immunosuppression minimization is frequently undertaken in long-term liver transplant recipients, mainly for renal insufficiency. Substantial variability exists regarding the use of IS minimization among centers.
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Affiliation(s)
- Diego Aguiar
- Liver Unit, University Clinic of Navarra, Pamplona, Spain
| | | | - Alberto Baroja-Mazo
- Network for Biomedical Research for Hepatic and Digestive Diseases (CIBERehd), Pamplona, Spain
- Murcia Institute for Biomedical Research (IMIB-Arrixaca), Pamplona, Spain
| | - Manuel de la Mata
- Network for Biomedical Research for Hepatic and Digestive Diseases (CIBERehd), Pamplona, Spain
- Liver Unit, Reina Sofia University Hospital, Córdoba, Spain
- Maimónides Institute of Biomedical Research (IMBIC), Córdoba, Spain
| | - Manuel Rodríguez-Perálvarez
- Network for Biomedical Research for Hepatic and Digestive Diseases (CIBERehd), Pamplona, Spain
- Liver Unit, Reina Sofia University Hospital, Córdoba, Spain
- Maimónides Institute of Biomedical Research (IMBIC), Córdoba, Spain
| | - Angel Rubín
- Network for Biomedical Research for Hepatic and Digestive Diseases (CIBERehd), Pamplona, Spain
- Liver Unit, La Fe University Hospital, Valencia, Spain
| | | | - Trinidad Serrano
- Gastroenterology Service, Lozano Blesa University Hospital, Zaragoza, Spain
| | - Jessica Montero
- Gastroenterology Service, Lozano Blesa University Hospital, Zaragoza, Spain
| | - Antonio Cuadrado
- Gastroenterology Service, Marques de Vadecilla University Hospital, Santander, Spain
| | - Fernando Casafont
- Gastroenterology Service, Marques de Vadecilla University Hospital, Santander, Spain
| | - Magdalena Salcedo
- Network for Biomedical Research for Hepatic and Digestive Diseases (CIBERehd), Pamplona, Spain
- Gastroenterology Service, Gregorio Marañon University Hospital, Madrid, Spain
| | - Diego Rincón
- Gastroenterology Service, Gregorio Marañon University Hospital, Madrid, Spain
| | - Jose A. Pons
- Network for Biomedical Research for Hepatic and Digestive Diseases (CIBERehd), Pamplona, Spain
- Murcia Institute for Biomedical Research (IMIB-Arrixaca), Pamplona, Spain
- Gastroenterology and Hepatology Division and Liver Transplantation Unit, Virgen de la Arrixaca University Hospital, Murcia, Spain
| | - Jose I. Herrero
- Liver Unit, University Clinic of Navarra, Pamplona, Spain
- Network for Biomedical Research for Hepatic and Digestive Diseases (CIBERehd), Pamplona, Spain
- Institute for Health Investigation of Navarra (IdiSNA), Pamplona, Spain
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15
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Aguiar D, Martínez-Urbistondo D, D\'Avola D, Iñarrairaegui M, Pardo F, Rotellar F, Sangro B, Quiroga J, Herrero JI. Conversion from Calcineurin Inhibitor-Based Immunosuppression to Mycophenolate Mofetil in Monotherapy Reduces Risk of De Novo Malignancies After Liver Transplantation. Ann Transplant 2017; 22:141-147. [DOI: 10.12659/aot.901556] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023] Open
Affiliation(s)
- Diego Aguiar
- Department of Internal Medicine, Clinica Universidad de Navarra, Pamplona, Navarra, Spain
| | | | - Delia D\'Avola
- Liver Unit, Clinica Universidad de Navarra, Pamplona, Navarra, Spain
| | | | - Fernando Pardo
- Network Center of Biomedical of Liver and Digestive Diseases Hepáticas y (CIBERehd), Pamplona, Navarra, Spain
| | - Fernando Rotellar
- Network Center of Biomedical of Liver and Digestive Diseases Hepáticas y (CIBERehd), Pamplona, Navarra, Spain
| | - Bruno Sangro
- Liver Unite, Clinica Universidad de Navarra, Pamplona, Navarra, Spain
| | - Jorge Quiroga
- Liver Unite, Clinica Universidad de Navarra, Pamplona, Navarra, Spain
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16
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Duque-Sosa P, Martínez-Urbistondo D, Echarri G, Callejas R, Iribarren MJ, Rábago G, Monedero P. Perioperative hemoglobin area under the curve is an independent predictor of renal failure after cardiac surgery. Results from a Spanish multicenter retrospective cohort study. PLoS One 2017; 12:e0172021. [PMID: 28225801 PMCID: PMC5321429 DOI: 10.1371/journal.pone.0172021] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 01/30/2017] [Indexed: 12/31/2022] Open
Abstract
Perioperative anemia is an important risk factor for cardiac surgery-associated acute kidney injury (CSA-AKI). Nonetheless, the severity of the anemia and the time in the perioperative period in which the hemoglobin level should be considered as a risk factor is conflicting. The present study introduces the concept of perioperative hemoglobin area under the curve (pHb-AUC) as a surrogate marker of the evolution of perioperative hemoglobin concentration. Through a retrospective analysis of prospectively collected data, we assessed this new variable as a risk factor for the development of acute kidney injury after cardiac surgery in 966 adult patients who underwent cardiac surgery with cardiopulmonary bypass, at twenty-three academic hospitals in Spain. Exclusion criteria were patients on renal replacement therapy, who needed a reoperation because of bleeding and/or with missing perioperative hemoglobin or creatinine values. Using a multivariate regression analysis, we found that a pHb-AUC <19 g/dL was an independent risk factor for CSA-AKI even after adjustment for intraoperative red blood cell transfusion (OR 1.41, p <0.05). It was also associated with mortality (OR 2.48, p <0.01) and prolonged hospital length of stay (4.67 ± 0.99 days, p <0.001)
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Affiliation(s)
- Paula Duque-Sosa
- Department of Anesthesia and Critical Care, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
- * E-mail:
| | - Diego Martínez-Urbistondo
- Department of Internal Medicine, Division of Intermediate Care and Hospitalists Unit, Clínica Universidad de Navarra, Pamplona, Navarra Spain
| | - Gemma Echarri
- Department of Anesthesia and Critical Care, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
| | - Raquel Callejas
- Department of Anesthesia and Critical Care, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
| | - María Josefa Iribarren
- Department of Anesthesia and Critical Care, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
| | - Gregorio Rábago
- Department of Cardiovascular Surgery, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
| | - Pablo Monedero
- Department of Anesthesia and Critical Care, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
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17
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Solas M, Milagro FI, Martínez-Urbistondo D, Ramirez MJ, Martínez JA. Precision Obesity Treatments Including Pharmacogenetic and Nutrigenetic Approaches. Trends Pharmacol Sci 2016; 37:575-593. [DOI: 10.1016/j.tips.2016.04.008] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2015] [Revised: 04/19/2016] [Accepted: 04/27/2016] [Indexed: 01/04/2023]
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18
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Martínez-Hernández JA, Martínez-Urbistondo D, Carapeto Márquez de Prado FJ. Manifestaciones cutáneas en la obesidad. Revista Española de Nutrición Humana y Dietética 2011. [DOI: 10.1016/s2173-1292(11)70011-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
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19
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Aguado M, Martínez-Urbistondo D, Solomon A, Martínez J. Gender-dependent differences in the responses of human adipocytes to leptin lipolytic action. ACTA ACUST UNITED AC 2008; 30:7-11. [DOI: 10.1358/mf.2008.30.1.1147772] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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