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He Y, Zheng C, Zeng J, Fu Y, Ou H. Risk factors of acute kidney injury, septic shock and acute respiratory distress syndrome in patients with blood culture‑positive sepsis. Exp Ther Med 2025; 29:42. [PMID: 39781194 PMCID: PMC11707985 DOI: 10.3892/etm.2024.12792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Accepted: 12/19/2024] [Indexed: 01/12/2025] Open
Abstract
Sepsis, a condition characterized by a dysregulated host response to infection, can progress to septic shock and lead to various complications. The present study aimed to identify risk factors for the early clinical identification of sepsis patients at heightened risk of complications. In the present study, a total of 383 hospitalized patients with sepsis and positive blood cultures were enrolled. Demographic characteristics, laboratory findings at admission and treatment outcomes were collected and analyzed. Among the 383 sepsis patients, 165 were diagnosed with acute kidney injury (AKI). Patients with AKI exhibited significantly lower platelet counts, elevated procalcitonin levels and higher Sequential Organ Failure Assessment (SOFA) scores. Logistic regression analysis identified the SOFA score [odds ratio (OR)=1.269, 95% confidence interval (CI): 1.067-1.510, P=0.007) as an independent predictor of AKI. Furthermore, patients with septic shock had lower platelet counts and higher white blood cell counts at admission. Multivariable analysis revealed that age (OR=1.024, 95% CI: 1.001-1.047, P=0.039), procalcitonin (OR=1.018, 95% CI: 1.003-1.032, P=0.015), SOFA score (OR=1.465, 95% CI: 1.248-1.719, P<0.001) and Pitt bacteremia score (OR=1.437, 95% CI: 1.204-1.716, P<0.001) were independently associated with septic shock. In addition, sepsis patients with acute respiratory distress syndrome (ARDS) were observed to have lower platelet counts, higher body weight and elevated alanine aminotransferase levels. Multivariable analysis identified the SOFA score (OR=1.177, 95% CI: 1.095-1.265, P<0.001) and body weight (OR=1.030, 95% CI: 1.007-1.054, P=0.010) as independent predictors of ARDS. The present study highlights the risk factors associated with AKI, ARDS and septic shock in sepsis patients with positive blood cultures. Early identification and close monitoring of these factors are crucial for improving outcomes in sepsis management.
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Affiliation(s)
- Yujing He
- Intensive Care Unit, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361000, P.R. China
| | - Caixia Zheng
- Department of Infectious Diseases, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361000, P.R. China
| | - Jianyong Zeng
- Department of Infectious Diseases, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361000, P.R. China
| | - Yaojie Fu
- Emergency Department, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361000, P.R. China
| | - Hongjie Ou
- Department of Infectious Diseases, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361000, P.R. China
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Martínez-Montoro JI, Cornejo-Pareja I, Díaz-López A, Sureda A, Toledo E, Abete I, Babio N, Tur JA, Martinez-Gonzalez MA, Martínez JA, Fitó M, Salas-Salvadó J, Tinahones FJ. Effect of an intensive lifestyle intervention on cystatin C-based kidney function in adults with overweight and obesity: From the PREDIMED-Plus trial. J Intern Med 2024. [PMID: 39723807 DOI: 10.1111/joim.20038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2024]
Abstract
BACKGROUND Large-scale trials evaluating a multicomponent lifestyle intervention aimed at weight loss on kidney function are lacking. METHODS This was a post hoc analysis of the "PREvención con DIeta MEDiterránea-Plus" (PREDIMED-Plus) randomized controlled trial, including patients with overweight/obesity and metabolic syndrome, measured cystatin C and creatinine. Participants were randomly assigned (1:1) to an intensive weight loss lifestyle intervention (intervention group [IG]) consisting of an energy-restricted Mediterranean diet (MedDiet), physical activity promotion and behavioral support, or a control group (CG) receiving ad libitum MedDiet recommendations. The primary outcome was between-group differences in cystatin C-based kidney function (cystatin C-based estimated glomerular filtration rate-eGFRcys-and combined cystatin C-creatinine-based eGFR-eGFRcr-cys) change from baseline to 12 and 36 months. Secondary outcomes included between-group differences in creatinine-based eGFR (eGFRcr) and urinary albumin-to-creatinine ratio (UACR) change and the predictive capacity of these formulas at baseline for new-onset chronic kidney disease (CKD). RESULTS A total of 1909 participants (65 ± 5 years, 54% men) were included. Twelve-month decline in eGFRcys, eGFRcr-cys, and eGFRcr was greater in the CG compared to the IG, with between-group differences of -1.77 mL/min/1.73 m2 [95% confidence interval -2.92 to -0.63], -1.37 [-2.22 to -0.53], and -0.91 [-1.74 to -0.71], respectively. At 36 months, the decline in eGFRcr-cys and eGFRcr was greater in the CG. No between-group differences in UACR were found. Significant adjusted areas under the curve for baseline eGFRcys and eGFRcr-cys were observed for incident CKD at 36 months, which were similar to those for eGFRcr and UACR. CONCLUSIONS In older adults with overweight/obesity and metabolic syndrome, the PREDIMED-Plus intervention may be an optimal approach to preserve kidney function.
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Affiliation(s)
- José Ignacio Martínez-Montoro
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Málaga, Spain
- Faculty of Medicine, University of Málaga, Málaga, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
| | - Isabel Cornejo-Pareja
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Málaga, Spain
- Faculty of Medicine, University of Málaga, Málaga, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
| | - Andrés Díaz-López
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Nutrition and Mental Health (NUTRISAM) Research Group, Universitat Rovira i Virgili (URV), Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Antoni Sureda
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Palma de Mallorca, Spain
| | - Estefania Toledo
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira I Virgili, Reus, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Palma de Mallorca, Spain
| | - Miguel A Martinez-Gonzalez
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Universitat Rovira I Virgili, Reus, Spain
| | - Francisco J Tinahones
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, Málaga, Spain
- Faculty of Medicine, University of Málaga, Málaga, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERObn: Physiopathology of Obesity and Nutrition, CB12/03/30038), Instituto de Salud Carlos III, Madrid, Spain
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Jimba T, Kaneko H, Azegami T, Suzuki Y, Okada A, Ko T, Fujiu K, Takeda N, Morita H, Hayashi K, Nishiyama A, Node K, Yasunaga H, Takeda N, Nangaku M, Komuro I. Body weight change associated kidney outcomes of sodium-glucose cotransporter new users. Diabetes Obes Metab 2024; 26:4535-4543. [PMID: 39072974 DOI: 10.1111/dom.15808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/30/2024] [Accepted: 07/01/2024] [Indexed: 07/30/2024]
Abstract
AIM To investigate the clinical significance of body weight changes on kidney outcomes among individuals with diabetes using sodium-glucose cotransporter-2 (SGLT2) inhibitors. MATERIALS AND METHODS This is a retrospective cohort study using a nationwide epidemiological database, and we conducted an analysis involving 11 569 individuals with diabetes who were newly prescribed SGLT2 inhibitors. The main outcome was the rate of decline in estimated glomerular filtration rate (eGFR), determined through a linear mixed-effects model with an unstructured covariance structure. RESULTS The median age of the patients was 52 (Q1-Q3: 47-58) years, and the median fasting plasma glucose and glycated haemoglobin (HbA1c) levels were 144 (Q1-Q3: 124-175) mg/dL and 7.4 (Q1-Q3: 6.8-8.3)%, respectively. The median estimated eGFR was 77.7 (Q1-Q3: 67.2-89.1) mL/min/1.73 m2. The median follow-up period was 1.7 (Q1-Q3: 1.0-2.6) years. Participants were stratified into three groups based on the body mass index change rate tertiles between baseline and 1 year after (tertile 1: <-4.55%, tertile 2: -4.55% to -1.43%, tertile 3: >-1.43%). The annual change in eGFR was -0.78 (-0.94 to -0.63) mL/min/1.73 m2 in tertile 1, -0.95 (-1.09 to -0.81) mL/min/1.73 m2 in tertile 2, and -1.65 mL/min/1.73 m2 (-1.84 to -1.47) in tertile 3 (pinteraction < 0.001). A variety of sensitivity analyses confirmed the relationship between the 1-year body mass index decrease and favourable kidney outcomes after SGLT2 inhibitor administration. CONCLUSIONS Our analysis of a nationwide epidemiological cohort revealed that kidney outcomes following the initiation of SGLT2 inhibitors would be more favourable, with greater body weight loss observed after the initiation of SGLT2 inhibitors.
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Affiliation(s)
- Takahiro Jimba
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Hidehiro Kaneko
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
- Department of Advanced Cardiology, The University of Tokyo, Tokyo, Japan
| | - Tatsuhiko Azegami
- Division of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yuta Suzuki
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Akira Okada
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Toshiyuki Ko
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Katsuhito Fujiu
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
- Department of Advanced Cardiology, The University of Tokyo, Tokyo, Japan
| | - Norifumi Takeda
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroyuki Morita
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Kaori Hayashi
- Division of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Akira Nishiyama
- Department of Pharmacology, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University, Saga, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Norihiko Takeda
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Issei Komuro
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
- Department of Frontier Cardiovascular Science, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- International University of Health and Welfare, Tokyo, Japan
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4
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Martínez-González MA, Planes FJ, Ruiz-Canela M, Toledo E, Estruch R, Salas-Salvadó J, Valdés-Más R, Mena P, Castañer O, Fitó M, Clish C, Landberg R, Wittenbecher C, Liang L, Guasch-Ferré M, Lamuela-Raventós RM, Wang DD, Forouhi N, Razquin C, Hu FB. Recent advances in precision nutrition and cardiometabolic diseases. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2024:S1885-5857(24)00279-2. [PMID: 39357800 DOI: 10.1016/j.rec.2024.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Accepted: 09/17/2024] [Indexed: 10/04/2024]
Abstract
A growing body of research on nutrition omics has led to recent advances in cardiovascular disease epidemiology and prevention. Within the PREDIMED trial, significant associations between diet-related metabolites and cardiovascular disease were identified, which were subsequently replicated in independent cohorts. Some notable metabolites identified include plasma levels of ceramides, acyl-carnitines, branched-chain amino acids, tryptophan, urea cycle pathways, and the lipidome. These metabolites and their related pathways have been associated with incidence of both cardiovascular disease and type 2 diabetes. Future directions in precision nutrition research include: a) developing more robust multimetabolomic scores to predict long-term risk of cardiovascular disease and mortality; b) incorporating more diverse populations and a broader range of dietary patterns; and c) conducting more translational research to bridge the gap between precision nutrition studies and clinical applications.
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Affiliation(s)
- Miguel A Martínez-González
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Universidad de Navarra, Departamento de Medicina Preventiva y Salud Pública, Pamplona, Navarra, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States.
| | - Francisco J Planes
- Tecnun Escuela de Ingeniería, Departamento de Ingeniería Biomédica y Ciencias, Universidad de Navarra, San Sebastián, Guipúzcoa, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Universidad de Navarra, Departamento de Medicina Preventiva y Salud Pública, Pamplona, Navarra, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Universidad de Navarra, Departamento de Medicina Preventiva y Salud Pública, Pamplona, Navarra, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Departamento de Medicina Interna, Instituto de Investigaciones Biomédicas August Pi Sunyer (IDIBAPS), Hospital Clínico, Universidad de Barcelona, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria Pere i Virgili, Departamento de Bioquímica y Biotecnología, Unidad de Nutrición Humana Universidad Rovira i Virgili, Reus, Tarragona, Spain
| | - Rafael Valdés-Más
- Immunology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Pedro Mena
- Dipartimento di Scienze degli Alimenti e del Farmaco, Universitá di Parma, Parma, Italy
| | - Olga Castañer
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Unidad de Riesgo Cardiovascular y Nutrición, Instituto Hospital del Mar de Investigaciones Médicas (IMIM), Barcelona, Spain
| | - Clary Clish
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States
| | - Rikard Landberg
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Clemens Wittenbecher
- Department of Life Sciences, SciLifeLab, Chalmers University of Technology, Gothenburg, Sweden
| | - Liming Liang
- Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States; Department of Public Health and Novo Nordisk Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Rosa M Lamuela-Raventós
- Grup de recerca antioxidants naturals: polifenols, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Facultat de Farmàcia, Universitat de Barcelona, Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Barcelona, Spain
| | - Dong D Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States
| | - Nita Forouhi
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Cristina Razquin
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Universidad de Navarra, Departamento de Medicina Preventiva y Salud Pública, Pamplona, Navarra, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States
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5
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Martínez-González MA, Planes FJ, Ruiz-Canela M, Toledo E, Estruch R, Salas-Salvadó J, Valdés-Más R, Mena P, Castañer O, Fitó M, Clish C, Landberg R, Wittenbecher C, Liang L, Guasch-Ferré M, Lamuela-Raventós RM, Wang DD, Forouhi N, Razquin C, Hu FB. Recent advances in precision nutrition and cardiometabolic diseases. Rev Esp Cardiol 2024:S1885-5857(24)00279-2. [PMID: 39357800 DOI: 10.1016/j.recesp.2024.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Accepted: 09/17/2024] [Indexed: 01/11/2025]
Abstract
A growing body of research on nutrition omics has led to recent advances in cardiovascular disease epidemiology and prevention. Within the PREDIMED trial, significant associations between diet-related metabolites and cardiovascular disease were identified, which were subsequently replicated in independent cohorts. Some notable metabolites identified include plasma levels of ceramides, acyl-carnitines, branched-chain amino acids, tryptophan, urea cycle pathways, and the lipidome. These metabolites and their related pathways have been associated with incidence of both cardiovascular disease and type 2 diabetes. Future directions in precision nutrition research include: a) developing more robust multimetabolomic scores to predict long-term risk of cardiovascular disease and mortality; b) incorporating more diverse populations and a broader range of dietary patterns; and c) conducting more translational research to bridge the gap between precision nutrition studies and clinical applications.
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Affiliation(s)
- Miguel A Martínez-González
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Universidad de Navarra, Departamento de Medicina Preventiva y Salud Pública, Pamplona, Navarra, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States.
| | - Francisco J Planes
- Tecnun Escuela de Ingeniería, Departamento de Ingeniería Biomédica y Ciencias, Universidad de Navarra, San Sebastián, Guipúzcoa, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Universidad de Navarra, Departamento de Medicina Preventiva y Salud Pública, Pamplona, Navarra, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Universidad de Navarra, Departamento de Medicina Preventiva y Salud Pública, Pamplona, Navarra, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Departamento de Medicina Interna, Instituto de Investigaciones Biomédicas August Pi Sunyer (IDIBAPS), Hospital Clínico, Universidad de Barcelona, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria Pere i Virgili, Departamento de Bioquímica y Biotecnología, Unidad de Nutrición Humana Universidad Rovira i Virgili, Reus, Tarragona, Spain
| | - Rafael Valdés-Más
- Immunology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Pedro Mena
- Dipartimento di Scienze degli Alimenti e del Farmaco, Universitá di Parma, Parma, Italy
| | - Olga Castañer
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Unidad de Riesgo Cardiovascular y Nutrición, Instituto Hospital del Mar de Investigaciones Médicas (IMIM), Barcelona, Spain
| | - Clary Clish
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States
| | - Rikard Landberg
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Clemens Wittenbecher
- Department of Life Sciences, SciLifeLab, Chalmers University of Technology, Gothenburg, Sweden
| | - Liming Liang
- Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States; Department of Public Health and Novo Nordisk Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Rosa M Lamuela-Raventós
- Grup de recerca antioxidants naturals: polifenols, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Facultat de Farmàcia, Universitat de Barcelona, Barcelona, Spain; Institut de Nutrició i Seguretat Alimentària (INSA), Universitat de Barcelona (UB), Barcelona, Spain
| | - Dong D Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States
| | - Nita Forouhi
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Cristina Razquin
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Universidad de Navarra, Departamento de Medicina Preventiva y Salud Pública, Pamplona, Navarra, Spain
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States
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Kwon YJ, Joo YS, Yun HR, Lim LR, Yang J, Lee HS, Kim HM, Lee H, Lee JE, Lee JW. Safety and impact of the Mediterranean diet in patients with chronic kidney disease: a pilot randomized crossover trial. Front Nutr 2024; 11:1463502. [PMID: 39296514 PMCID: PMC11408278 DOI: 10.3389/fnut.2024.1463502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Accepted: 08/20/2024] [Indexed: 09/21/2024] Open
Abstract
Introduction Emerging evidence highlights the potential advantages of the Mediterranean diet (MD) in preserving kidney function and slowing chronic kidney disease (CKD) progression. However, interventional studies on the MD are scarce in East Asian populations. Methods This randomized crossover trial aimed to assess the safety and short-term impact of the Mediterranean Proper Optimal Balance (MEDi-POB) diet in Korean patients with stage 3-4 CKD. Kidney function was assessed using the estimated glomerular filtration rate, which was calculated using the CKD Epidemiology Collaboration equation. Fifty patients with CKD were randomly assigned to two groups, each starting with a different 4-week intervention, followed by a 4-week washout period, followed by a switch to the other 4-week intervention. During the MEDi-POB intervention, patients received home delivery of meals twice daily, 5 days a week, while the control intervention comprised a conventional diet. Forty-six patients successfully completed the entire 12-week trial. Paired t-tests were conducted to assess mean differences between the two groups. A linear mixed model was used to adjust for sequence and period. Results Dietary fat, fiber, and niacin intake were significantly higher following the MEDi-POB diet than following the control diet (p = 0.001 for fat, p < 0.001 for fiber, and p = 0.007 for niacin). The MEDi-POB diet also yielded slightly increased total CO2 levels (p = 0.043), indicating effective management of metabolic acidosis. Conversely, sodium and copper intake were significantly lower with the MEDi-POB diet (p = 0.032 and p = 0.037, respectively). Caloric intake increased, but body mass index slightly decreased from baseline after consuming the MEDi-POB diet. Dietary potassium intake exhibited a non-significant increase (p = 0.053), and no significant changes in serum (p = 0.883) and urine potassium levels (p = 0.087) occurred. Kidney function remained well-preserved following the MEDi-POB diet. Conclusion These results indicate that the MEDi-POB diet is safe even in patients with advanced CKD, as it does not adversely affect serum and urine potassium levels and helps maintain kidney function.
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Affiliation(s)
- Yu-Jin Kwon
- Department of Family Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Young Su Joo
- Division of Nephrology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Hae-Ryong Yun
- Division of Nephrology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Li Rang Lim
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Juyeon Yang
- Biostatistics Collaboration Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hye Sun Lee
- Biostatistics Collaboration Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyung-Mi Kim
- Department of Food and Nutrition, Dongduk Women's University, Seoul, Republic of Korea
- Nutrition R&D Institute, MEDI.SOLA Co., Ltd., Seoul, Republic of Korea
| | - Hyangkyu Lee
- College of Nursing, Mo-Im Kim Research Institute, Yonsei University, Seoul, Republic of Korea
| | - Jung Eun Lee
- Division of Nephrology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Ji-Won Lee
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea
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Paz-Graniel I, Valle-Hita C, Babio N, Serra-Majem L, Vioque J, Zomeño MD, Corella D, Pintó X, Cano-Ibáñez N, Tur JA, Cuadrado-Soto E, Martínez JA, Díaz-López A, Torres-Collado L, Goday A, Fernández-Carrión R, Nissenshon M, Riera-Mestre A, Garrido-Garrido E, Bouzas C, Abete I, Daimiel L, Cornejo-Pareja I, Vázquez-Ruiz Z, Khoury N, Pérez-Vega KA, Salas-Salvadó J. Long-term association between water intake and kidney function in a population at high cardiovascular risk. J Nutr Health Aging 2024; 28:100327. [PMID: 39137622 DOI: 10.1016/j.jnha.2024.100327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 07/23/2024] [Accepted: 07/26/2024] [Indexed: 08/15/2024]
Abstract
OBJECTIVES The evidence on water intake in the prevention of kidney function decline is scarce at population level in well-being individuals at high cardiovascular risk. Therefore, we aimed to longitudinally evaluate the associations between total water intake and subtypes and kidney function, through estimated-Glomerular Filtration Rate (eGFR). METHODS Three-year prospective analysis conducted in 1986 older adults (aged 55-75 year) with overweight/obesity and metabolic syndrome from the PREDIMED-Plus study. Water intake was assessed using validated beverage and food frequency questionnaires. Serum creatinine-based eGFR (SCr-based eGFR; ml/min/1.73 m2) was estimated using the CKD-EPI equation at baseline, one-year and 3-years of follow-up. Mixed-effects linear regression models were fitted to evaluate the associations between baseline total water intake and subtypes, and SCr-based eGFR over 3-years of follow-up. RESULTS Participants in the highest baseline tertile of total water intake, plain water and water from all fluids showed a lower decrease in SCr-based eGFR after 3-years of follow-up, compared to those in the lowest tertile. Participants with the highest tap water consumption showed a lower SCr-based eGFR decline after 1-year and 3-years of follow-up, in comparerd to participants in the lowest intake category (T3 vs. T1: β: 1.4 ml/min/1.73 m2; 95%CI: 0.5-2.3, β: 1.0; 95%CI: 0.1-2.0, respectively). CONCLUSIONS Plain water rather than other water sources, and especially tap water, was associated with lower kidney function decline assessed through eGFR over 3-years of follow-up, in older individuals at high cardiovascular risk. TRIAL REGISTRATION ISRCTN89898870. Retrospectively registered on 24 July 2014.
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Affiliation(s)
- Indira Paz-Graniel
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Cristina Valle-Hita
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Nancy Babio
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Lluís Serra-Majem
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Jesus Vioque
- CIBER 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
| | - María Dolores Zomeño
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, Barcelona, Spain; School of Health Sciences, Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Dolores Corella
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament of Preventive Medicine and Public Health, School of Medicine, Valencia, Spain
| | - Xavier Pintó
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Internal Medicine Department. Hospital Universitari Bellvitge, Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Clinical Sciences Department, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Naomi Cano-Ibáñez
- CIBER 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; Instituto de Investigación Biosanitaria (ibs. GRANADA), Complejo Hospitales Universitarios de Granada/Universidad de Granada, 18071, Granada, Spain
| | - Josep A Tur
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Esther Cuadrado-Soto
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM+CSIC, Madrid, Spain; Grupo de Investigación VALORNUT-UCM, Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - J A Martínez
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IEA Food, CEI UAM+CSIC, Madrid, Spain; Departament of Medicine and Endocrinology, University of Valladolid, Spain
| | - Andrés Díaz-López
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Nutrition and Mental Health (NUTRISAM) Research Group, Nutrition and Public Health Unit, Universitat Rovira I Virgili, Reus 43204, Spain
| | - Laura Torres-Collado
- CIBER 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
| | - Albert Goday
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; IMIM, Endocrinology and Diabetes Unit, Hospital del Mar, Barcelona, Spain; Departament de Medicina, Universitat Autónoma de Barcelona, Spain
| | - Rebeca Fernández-Carrión
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Departament of Preventive Medicine and Public Health, School of Medicine, Valencia, Spain
| | - Mariela Nissenshon
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Antoni Riera-Mestre
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Internal Medicine Department. Hospital Universitari Bellvitge, Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Clinical Sciences Department, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Eva Garrido-Garrido
- Primary Care Center Zaidín-Center, Andalusian Health Service, Granada, Spain
| | - Cristina Bouzas
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Itziar Abete
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Lidia Daimiel
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM+CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
| | - Isabel Cornejo-Pareja
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - Zenaida Vázquez-Ruiz
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
| | - Nadine Khoury
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Karla Alejandra Pérez-Vega
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Consorcio Centro de Investigación Biomédica en Red, M.P. Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnología, Alimentaciò, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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Lin L, Pan X, Feng Y, Yang J. Chronic kidney disease combined with metabolic syndrome is a non-negligible risk factor. Ther Adv Endocrinol Metab 2024; 15:20420188241252309. [PMID: 39071115 PMCID: PMC11273817 DOI: 10.1177/20420188241252309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 04/10/2024] [Indexed: 07/30/2024] Open
Abstract
Metabolic syndrome (MetS) is a group of conditions characterized by hypertension (HTN), hyperglycaemia or insulin resistance (IR), hyperlipidaemia, and abdominal obesity. MetS is associated with a high incidence of cardiovascular events and mortality and is an independent risk factor for chronic kidney disease (CKD). MetS can cause CKD or accelerate the progression of kidney disease. Recent studies have found that MetS and kidney disease have a cause-and-effect relationship. Patients with CKD, those undergoing kidney transplantation, or kidney donors have a significantly higher risk of developing MetS than normal people. The present study reviewed the possible mechanisms of MetS in patients with CKD, including the disorders of glucose and fat metabolism after kidney injury, IR, HTN and the administration of glucocorticoid and calcineurin inhibitors. In addition, this study reviewed the effect of MetS in patients with CKD on important target organs such as the kidney, heart, brain and blood vessels, and the treatment and prevention of CKD combined with MetS. The study aims to provide strategies for the diagnosis, treatment and prevention of CKD in patients with MetS.
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Affiliation(s)
- Lirong Lin
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (General Hospital), Chongqing, China
| | - Xianfeng Pan
- Department of Nephrology, Chongqing Kaizhou District People’s Hospital of Chongqing, Chongqing, China
| | - Yuanjun Feng
- Department of Nephrology, Guizhou Aerospace Hospital, Guizhou 563000, China
| | - Jurong Yang
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (General Hospital), Chongqing 401120, China
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Lavenburg LMU, Schaubel DE, Chao AM, Reese PP, Cohen JB. The 10-Year Effects of Intensive Lifestyle Intervention on Kidney Outcomes. Kidney Med 2024; 6:100814. [PMID: 38689836 PMCID: PMC11059390 DOI: 10.1016/j.xkme.2024.100814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024] Open
Abstract
Rationale & Objective Limited data exist on longitudinal kidney outcomes after nonsurgical obesity treatments. We investigated the effects of intensive lifestyle intervention on kidney function over 10 years. Study Design Post hoc analysis of Action for Health in Diabetes (Look AHEAD) randomized controlled trial. Setting & Participants We studied 4,901 individuals with type 2 diabetes and body mass index of ≥25 kg/m2 enrolled in Look AHEAD (2001-2015). The original Look AHEAD trial excluded individuals with 4+ urine dipstick protein, serum creatinine level of >1.4 mg/dL (women), 1.5 mg/dL (men), or dialysis dependence. Exposures Intensive lifestyle intervention versus diabetes support and education (ie, usual care). Outcome Primary outcome was estimated glomerular filtration rate (eGFR, mL/min/1.73 m2) slope. Secondary outcomes were mean eGFR, slope, and mean urine albumin to creatinine ratio (UACR, mg/mg). Analytical Approach Linear mixed-effects models with random slopes and intercepts to evaluate the association between randomization arms and within-individual repeated measures of eGFR and UACR. We tested for effect modification by baseline eGFR. Results At baseline, mean eGFR was 89, and 83% had a normal UACR. Over 10 years, there was no difference in eGFR slope (+0.064 per year; 95% CI: -0.036 to 0.16; P = 0.21) between arms. Slope or mean UACR did not differ between arms. Baseline eGFR, categorized as eGFR of <80, 80-100, or >100, did not modify the intervention's effect on eGFR slope or mean. Limitations Loss of muscle may confound creatinine-based eGFR. Conclusions In patients with type 2 diabetes and preserved kidney function, intensive lifestyle intervention did not change eGFR slope over 10 years. Among participants with baseline eGFR <80, lifestyle intervention had a slightly higher longitudinal mean eGFR than usual care. Further studies evaluating the effects of intensive lifestyle intervention in people with kidney disease are needed.
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Affiliation(s)
| | - Douglas E. Schaubel
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA
| | - Ariana M. Chao
- Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, PA
| | - Peter P. Reese
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA
- Renal-Electrolyte and Hypertension Division, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jordana B. Cohen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA
- Renal-Electrolyte and Hypertension Division, Department of Medicine, University of Pennsylvania, Philadelphia, PA
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Mallamaci F, Tripepi G. Risk Factors of Chronic Kidney Disease Progression: Between Old and New Concepts. J Clin Med 2024; 13:678. [PMID: 38337372 PMCID: PMC10856768 DOI: 10.3390/jcm13030678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/17/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
Chronic kidney disease (CKD) is a condition characterized by the gradual loss of kidney function over time and it is a worldwide health issue. The estimated frequency of CKD is 10% of the world's population, but it varies greatly on a global scale. In absolute terms, the staggering number of subjects affected by various degrees of CKD is 850,000,000, and 85% of them are in low- to middle-income countries. The most important risk factors for chronic kidney disease are age, arterial hypertension, diabetes, obesity, proteinuria, dyslipidemia, and environmental risk factors such as dietary salt intake and a more recently investigated agent: pollution. In this narrative review, we will focus by choice just on some risk factors such as age, which is the most important non-modifiable risk factor, and among modifiable risk factors, we will focus on hypertension, salt intake, obesity, and sympathetic overactivity.
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Affiliation(s)
- Francesca Mallamaci
- Nephrology, Dialysis and Transplantation Unit, Grande Ospedale Metropolitano, Bianchi-Melacrino-Morelli (BMM), 89124 Reggio Calabria, Italy
- Research Unit of Clinical Epidemiology of Reggio Calabria, Institute of Clinical Physiology (IFC), National Research Council (CNR), 89124 Reggio Calabria, Italy
| | - Giovanni Tripepi
- Research Unit of Clinical Epidemiology of Reggio Calabria, Institute of Clinical Physiology (IFC), National Research Council (CNR), 89124 Reggio Calabria, Italy
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Hasanaliyeva G, Sufar EK, Wang J, Rempelos L, Volakakis N, Iversen PO, Leifert C. Effects of Agricultural Intensification on Mediterranean Diets: A Narrative Review. Foods 2023; 12:3779. [PMID: 37893672 PMCID: PMC10606286 DOI: 10.3390/foods12203779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/05/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023] Open
Abstract
INTRODUCTION Mediterranean diets (MedDiets) are linked to substantial health benefits. However, there is also growing evidence that the intensification of food production over the last 60 years has resulted in nutritionally relevant changes in the composition of foods that may augment the health benefits of MedDiets. OBJECTIVE To synthesize, summarize, and critically evaluate the currently available evidence for changes in food composition resulting from agricultural intensification practices and their potential impact on the health benefits of MedDiets. METHODS We summarized/synthesized information from (i) systematic literature reviews/meta-analyses and more recently published articles on composition differences between conventional and organic foods, (ii) desk studies which compared food composition data from before and after agricultural intensification, (iii) recent retail and farm surveys and/or factorial field experiments that identified specific agronomic practices responsible for nutritionally relevant changes in food composition, and (iv) a recent systematic literature review and a small number of subsequently published observational and dietary intervention studies that investigated the potential health impacts of changes in food composition resulting from agricultural intensification. RESULTS AND DISCUSSION There has been growing evidence that the intensification of food production has resulted in (i) lower concentrations of nutritionally desirable compounds (e.g., phenolics, certain vitamins, mineral micronutrients including Se, Zn, and omega-3 fatty acids, α-tocopherol) and/or (ii) higher concentrations of nutritionally undesirable or toxic compounds (pesticide residues, cadmium, omega-6 fatty acids) in many of the foods (including wholegrain cereals, fruit and vegetables, olive oil, dairy products and meat from small ruminants, and fish) that are thought to contribute to the health benefits associated with MedDiets. The evidence for negative health impacts of consuming foods from intensified conventional production systems has also increased but is still limited and based primarily on evidence from observational studies. Limitations and gaps in the current evidence base are discussed. Conclusions: There is now substantial evidence that the intensification of agricultural food production has resulted in a decline in the nutritional quality of many of the foods that are recognized to contribute to the positive health impacts associated with adhering to traditional MedDiets. Further research is needed to quantify to what extent this decline augments the positive health impacts of adhering to a traditional MedDiet.
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Affiliation(s)
- Gultekin Hasanaliyeva
- School of Animal, Rural and Environmental Sciences, Brackenhurst Campus, Nottingham Trent University, Nottinghamshire NG25 0QF, UK
- Nafferton Ecological Farming Group, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (E.K.S.)
| | - Enas Khalid Sufar
- Nafferton Ecological Farming Group, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (E.K.S.)
| | - Juan Wang
- Nafferton Ecological Farming Group, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (E.K.S.)
- Department of Clinical Nutrition, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China
| | - Leonidas Rempelos
- Nafferton Ecological Farming Group, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (E.K.S.)
- Lincoln Institute for Agri-Food Technology, University of Lincoln, Lincoln LN2 2LG, UK
| | - Nikolaos Volakakis
- Nafferton Ecological Farming Group, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (E.K.S.)
- Geokomi Plc, P.O. Box 21, GR70200 Sivas Festos, Greece
| | - Per Ole Iversen
- Department of Nutrition, IMB, University of Oslo, 0317 Oslo, Norway
- Department of Haematology, Oslo University Hospital, 0424 Oslo, Norway
| | - Carlo Leifert
- Department of Nutrition, IMB, University of Oslo, 0317 Oslo, Norway
- SCU Plant Science, Southern Cross University, Military Rd., Lismore, NSW 2480, Australia
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Sattar N, McMurray JJV, McInnes IB, Aroda VR, Lean MEJ. Treating chronic diseases without tackling excess adiposity promotes multimorbidity. Lancet Diabetes Endocrinol 2023; 11:58-62. [PMID: 36460014 DOI: 10.1016/s2213-8587(22)00317-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/26/2022] [Accepted: 10/26/2022] [Indexed: 12/03/2022]
Abstract
Few people now reach old age without taking multiple drugs, often attending various clinics, and undergoing secondary or tertiary investigations. Most chronic conditions are, to differing extents, caused or exacerbated by excess adiposity, but weight management is rarely discussed or attempted for patients. Furthermore, progressive symptoms usually attributed to ageing (eg, musculoskeletal pains, fatigue, and breathlessness), and which create considerable health-care demands, can also be attributed to the accumulation of body fat over time. For many symptoms and diseases that are more frequently reported in people with excess adiposity (such as depression), there exist potentially multidirectional, causal relationships that generate a cycle of clinical and social deterioration. There is insufficient research on the effects of effective weight management on these clinically demanding, age and weight-mediated symptoms. Based on current evidence, we suggest that policy makers need to be more proactive in obesity prevention and effective weight management should receive research funding to match the search for novel therapeutics for secondary chronic diseases.
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Affiliation(s)
- Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
| | - John J V McMurray
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Iain B McInnes
- College of Medical, Veterinary & Life Sciences, Wolfson Medical School Building, University of Glasgow, Glasgow, UK
| | - Vanita R Aroda
- Brigham and Women's Hospital, Division of Endocrinology, Diabetes and Hypertension; Harvard Medical School, Boston, MA, USA
| | - Mike E J Lean
- Human Nutrition, School of Medicine, Dentistry and Nursing, University of Glasgow, New Lister Building, Glasgow Royal Infirmary, Glasgow, UK
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Abstract
The prevalence of obesity has increased dramatically during the past decades, which has been a major health problem. Since 1975, the number of people with obesity worldwide has nearly tripled. An increasing number of studies find obesity as a driver of chronic kidney disease (CKD) progression, and the mechanisms are complex and include hemodynamic changes, inflammation, oxidative stress, and activation of the renin-angiotensin-aldosterone system (RAAS). Obesity-related kidney disease is characterized by glomerulomegaly, which is often accompanied by localized and segmental glomerulosclerosis lesions. In these patients, the early symptoms are atypical, with microproteinuria being the main clinical manifestation and nephrotic syndrome being rare. Weight loss and RAAS blockers have a protective effect on obesity-related CKD, but even so, a significant proportion of patients eventually progress to end-stage renal disease despite treatment. Thus, it is critical to comprehend the mechanisms underlying obesity-related CKD to create new tactics for slowing or stopping disease progression. In this review, we summarize current knowledge on the mechanisms of obesity-related kidney disease, its pathological changes, and future perspectives on its treatment.
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Affiliation(s)
- Zongmiao Jiang
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China
| | - Yao Wang
- Department of Orthopedics, The Second Hospital Jilin University, Changchun, China
| | - Xue Zhao
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China
| | - Haiying Cui
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China
| | - Mingyue Han
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China
| | - Xinhua Ren
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China
| | - Xiaokun Gang
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China
| | - Guixia Wang
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China
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14
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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: 0.3] [Reference Citation Analysis] [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
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity 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
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15
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Orandi BJ, McLeod C, Reed RD, Kumar V, Igel LI, Aronne LJ, Lewis CE, Locke JE. Impact of refitted race-free eGFR formula on obesity pharmacotherapy options. Obesity (Silver Spring) 2022; 30:2204-2212. [PMID: 36161516 PMCID: PMC9653161 DOI: 10.1002/oby.23542] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/06/2022] [Accepted: 06/27/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Recent changes to the Chronic Kidney Disease Epidemiology Collaboration estimated glomerular filtration rate (eGFR) formula (2021 CKD-EPI) removed race from the 2009 formula, increasing the number of Black people classified as having CKD, but these changes may impact eligibility and/or dosing for antiobesity medications. This study estimated the number of people with obesity nationwide who might have pharmacotherapy options impacted by the new formula. METHODS Using National Health and Nutrition Examination Survey (NHANES) cohort study data, the number of people eligible for antiobesity medication was estimated, and the number who would require a dosage reduction or would no longer be eligible for specific medications based on the new eGFR formula was also estimated. RESULTS Among 16,412,571 Black and 109,654,751 non-Black people eligible for antiobesity medication, 911,336 (6.1%) Black and 6,925,492 (6.6%) non-Black people had ≥CKD stage 3 by the 2009 CKD-EPI formula. Applying the 2021 CKD-EPI formula, 1,260,969 (8.5%) Black people and 4,989,919 (4.7%) non-Black people had ≥CKD stage 3. For medications requiring renal adjustment, the number of Black people who would require a lower dose or be precluded from using a medication increased by 24.7% to 50.2%. CONCLUSIONS These findings highlight the importance of measuring-rather than estimating-GFR in Black people with CKD when considering many antiobesity pharmacotherapy options.
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Affiliation(s)
- Babak J. Orandi
- University of Alabama at Birmingham, Department of Surgery; Birmingham, AL
| | - Chandler McLeod
- University of Alabama at Birmingham, Department of Surgery; Birmingham, AL
| | - Rhiannon D. Reed
- University of Alabama at Birmingham, Department of Surgery; Birmingham, AL
| | - Vineeta Kumar
- University of Alabama at Birmingham, Department of Medicine; Birmingham, AL
| | - Leon I. Igel
- Weill Cornell Medicine, Department of Medicine; New York, NY
| | - Louis J. Aronne
- Weill Cornell Medicine, Department of Medicine; New York, NY
| | - Cora E. Lewis
- University of Alabama at Birmingham, School of Public Health, Department of Epidemiology; Birmingham, AL
| | - Jayme E. Locke
- University of Alabama at Birmingham, Department of Surgery; Birmingham, AL
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Truche AS, Bailly S, Fabre O, Legrand R, Zaoui P. A Specific High-Protein Weight Loss Program Does Not Impair Renal Function in Patients Who Are Overweight/Obese. Nutrients 2022; 14:384. [PMID: 35057566 PMCID: PMC8780753 DOI: 10.3390/nu14020384] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/10/2022] [Accepted: 01/14/2022] [Indexed: 02/06/2023] Open
Abstract
Although high-protein diets appear to be the most efficient way to lose weight, concerns may arise about their innocuity on renal function. The objective of this study is to assess the impact of a weight loss program on renal function. A multicentric cohort-based study was performed using the RNPC© French national weight loss program. Patients with at least two creatinine measurements at the beginning of the program and at the end of the weight loss phase between 1 January 2016 and 1 July 2021 were included. Renal function was assessed by Modification of Diet in Renal Disease (MDRD) equation-based estimated glomerular filtration rate (eGFR). From 4394 patients with two creatinine measurements included, 1579 (35.9%) had normal eGFR (MDRD 90-120 mL/min/1.73 m2), 210 (4.8%) had hyperfiltration (MDRD > 120 mL/min/1.73 m2), 2383 (54.2%) had chronic kidney disease (CKD) grade 2 (MDRD 60-90 mL/min/1.73 m2), and 221 (5.0%) had CKD grade 3 (MDRD 30-60 mL/min/1.73 m2). Multivariable analyses showed no eGFR change for patients in initial CKD grade 2, normal eGFR and hyperfiltration, and a significant increase in CKD grade 3. The RNPC© program avoids renal function impairment during the two first phases, regardless of the initial eGFR.
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Affiliation(s)
| | - Sébastien Bailly
- HP2 Laboratory, Grenoble Alpes University, INSERM U1300 and Grenoble Alpes University Hospital, 38000 Grenoble, France
| | - Odile Fabre
- Groupe Éthique et Santé, Actiburo 1, Bâtiment A—100 Chemin de l’Aumône Vieille, 13400 Aubagne, France; (O.F.); (R.L.)
| | - Rémy Legrand
- Groupe Éthique et Santé, Actiburo 1, Bâtiment A—100 Chemin de l’Aumône Vieille, 13400 Aubagne, France; (O.F.); (R.L.)
| | - Philippe Zaoui
- Service de Néphrologie, Dialyse, Transplantation Rénale, Grenoble Alpes University Hospital, 38700 La Tronche, France;
- AGDUC, Meylan Dialysis Center, 38240 Meylan, France
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