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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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Zhou X, Zheng W, Kong W, Zeng T. Dietary patterns and diabetic microvascular complications risk: a Mendelian randomization study of European ancestry. Front Nutr 2024; 11:1429603. [PMID: 39555188 PMCID: PMC11566142 DOI: 10.3389/fnut.2024.1429603] [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: 05/08/2024] [Accepted: 10/23/2024] [Indexed: 11/19/2024] Open
Abstract
Purpose Previous observational studies about the link between dietary factors and diabetic microvascular complications (DMCs) is controversial. Thus, we systemically assessed the potential causal relationship between diet and DMCs risk using Mendelian randomization (MR) methods. Methods We used genome-wide association studies (GWAS) statistics to estimate the causal effects of 17 dietary patterns on three common DMCs in European. Summary statistics on dietary intakes were obtained from the UK biobank, and data on DMCs [diabetic retinopathy (DR), diabetic nephropathy (DN), and diabetic neuropathy (DNP)] were obtained from the FinnGen Consortium. A two-sample MR (TSMR) was conducted to explore the causal relationships of dietary habits with DMCs. In addition, multivariable MR analysis (MVMR) was performed to adjust for traditional risk factors for eating habits, and evaluated the direct or indirect effects of diet on DMCs. Results TSMR analysis revealed that salad/raw vegetable intake (odd ratio [OR]: 2.830; 95% confidence interval [CI]: 1.102-7.267; p = 0.0306) and fresh fruit intake (OR: 2.735; 95% CI: 1.622-4.611; p = 0.0002; false discovery rate [FDR] = 0.0082) increased the risk of DR, whereas cheese intake (OR: 0.742; 95% CI: 0.563-0.978; p = 0.0339) and cereal intake (OR: 0.658; 95% CI: 0.444-0.976; p = 0.0374) decreased the risk of DR. Salad/raw vegetable (OR: 6.540; 95% CI: 1.061-40.300; p = 0.0430) and fresh fruit consumption (OR: 3.573; 95% CI: 1.263-10.107; p = 0.0164) are risk factors for DN, while cereal consumption (OR: 0.380; 95% CI: 0.174-0.833; p = 0.0156) is the opposite. And genetically predicted higher pork intake increased the risk of DNP (OR: 160.971; 95% CI: 8.832-2933.974; p = 0.0006; FDR = 0.0153). The MVMR analysis revealed that cheese intake may act as an independent protective factor for DR development. Moreover, fresh fruit intake, salad/raw vegetable intake and pork intake may be independent risk factors for DR, DN and DNP, respectively. Other causal associations between dietary habits and DMCs risk may be mediated by intermediate factors. Conclusion This causal relationship study supports that specific dietary interventions may reduce the risk of DMCs.
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Affiliation(s)
- Xin Zhou
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenbin Zheng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wen Kong
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tianshu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Wang H, Chen Y, Gou Y, Yang D, Xiong L. Chronic kidney diseases and inflammation research: a bibliometric analysis. Front Med (Lausanne) 2024; 11:1388665. [PMID: 39371339 PMCID: PMC11449749 DOI: 10.3389/fmed.2024.1388665] [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: 05/01/2024] [Accepted: 08/08/2024] [Indexed: 10/08/2024] Open
Abstract
Background Chronic kidney diseases (CKD) is a severe public health problem. This study aimed to explore the field of inflammation-related research in CKD from a bibliometric perspective. Methods Relevant literature published between 2004 and 2023 were searched from the Web of Science database. The bibliometric analysis were performed to summarize countries, institutions, authors, journals and keywords using VOSviewer and CiteSpace. Results A total of 9,287 publications on CKD and inflammation were included. Publications were mainly from the United States, China, Italy, Germany, and Japan. The findings revealed that the United States had the highest number of publications in this field, followed by China. There is strong collaboration between the two countries. The most productive institutions included the University of California system and the US Department of Veterans Affairs. Research hotspots primarily focused on inflammation mechanisms, biomarkers, and interventions. Conclusion This study revealed the basic knowledge structure and provided a comprehensive insight into the research field of CKD and inflammation through bibliometric methods. Future studies should focus on early diagnosis, prevention, and treatment strategies of CKD, and explore more inflammation associated biomarkers and therapeutic targets for CKD.
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Affiliation(s)
- Heyong Wang
- Department of Nephrology, Sichuan Integrative Medicine Hospital, Chengdu, China
- School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yang Chen
- Department of Nephrology, Sichuan Integrative Medicine Hospital, Chengdu, China
| | - Yujuan Gou
- Department of Gastroenterology, Chengdu Eighth People's Hospital, Chengdu, China
| | - Dianxing Yang
- School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Lanyue Xiong
- Department of Cardiovascular, Chengdu First People's Hospital, Chengdu, China
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Huang P, Mai Y, Zhao J, Yi Y, Wen Y. Association of systemic immune-inflammation index and systemic inflammation response index with chronic kidney disease: observational study of 40,937 adults. Inflamm Res 2024:10.1007/s00011-024-01861-0. [PMID: 38489048 DOI: 10.1007/s00011-024-01861-0] [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: 12/18/2023] [Revised: 02/06/2024] [Accepted: 02/12/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is linked to immunity and inflammation. Systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are novel measures for gauging an individual's systemic inflammatory activity. We aim to investigate the potential associations between them. METHODS This study encompassed a cohort of 40,937 adults from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. SII and SIRI were log2-transformed before conducting regression analysis, considering that these inflammatory markers were right skewed distributed. Weighted logistic regression models assessed the association of log2-SII and log2-SIRI levels with CKD prevalence. Weighted Cox regression models were utilized to estimate the risk of death. Subgroup analyses were performed to further clarify the effects of other covariates on the associations. Sensitivity analyses were performed to assess the robustness of our results. RESULTS 6986 participants with CKD were recorded, and 2818 patients died during a mean follow-up time of 100 months. After adjusting for all covariates, the highest level of log2-SII increased the CKD incidence (odds ratio [OR]: 1.47, 95% confidence intervals [CI]: 1.32-1.65, P < 0.001), as well as log2-SIRI (OR: 1.79, 95% CI 1.60-2.01, P < 0.001) when compared with the lowest level reference group. The highest level of log2-SII significantly increased all-cause mortality (hazard risk [HR]: 1.29; 95% CI 1.13-1.48, P < 0.001), cardiovascular mortality (HR: 1.61, 95% CI 1.25-2.09, P < 0.001), and hypertension mortality (HR: 1.73, 95% CI 1.23-2.42, P = 0.001) in CKD patients. Additionally, the positive associations were also found between log2-SIRI and all cause (HR: 1.54, 95% CI 1.35-1.76, P < 0.001), cardiovascular (HR: 1.90, 95% CI 1.38-2.60, P < 0.001), and hypertension mortality (HR: 2.15, 95% CI 1.56-2.94, P < 0.001). Subgroup analyses unveiled variations in these effects among different populations. CONCLUSION There existed a substantial association of SII and SIRI levels with CKD prevalence, as well as mortality in patients with CKD in the U.S. POPULATION
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Affiliation(s)
- Peixian Huang
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China
| | - Yanpei Mai
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China.
| | - Jun Zhao
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China
| | - Yushan Yi
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China
| | - Yaqing Wen
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong, China
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Han YZ, Zheng HJ, Du BX, Zhang Y, Zhu XY, Li J, Wang YX, Liu WJ. Role of Gut Microbiota, Immune Imbalance, and Allostatic Load in the Occurrence and Development of Diabetic Kidney Disease. J Diabetes Res 2023; 2023:8871677. [PMID: 38094870 PMCID: PMC10719010 DOI: 10.1155/2023/8871677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
Diabetic kidney disease (DKD) is a prevailing complication arising from diabetes mellitus. Unfortunately, there are no trustworthy and efficacious treatment modalities currently available. In recent times, compelling evidence has emerged regarding the intricate correlation between the kidney and the gut microbiota, which is considered the largest immune organ within the human physique. Various investigations have demonstrated that the perturbation of the gut microbiota and its associated metabolites potentially underlie the etiology and progression of DKD. This phenomenon may transpire through perturbation of both the innate and the adaptive immunity, leading to a burdensome allostatic load on the body and ultimately culminating in the development of DKD. Within this literature review, we aim to delve into the intricate interplay between the gut microbiota, its metabolites, and the immune system in the context of DKD. Furthermore, we strive to explore and elucidate potential chemical interventions that could hold promise for the treatment of DKD, thereby offering invaluable insights and directions for future research endeavors.
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Affiliation(s)
- Yi Zhen Han
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Hui Juan Zheng
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Bo Xuan Du
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yi Zhang
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Xing Yu Zhu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jing Li
- Graduate School, Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - Yao Xian Wang
- Beijing University of Chinese Medicine, Beijing, China
| | - Wei Jing Liu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
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