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Wang S, Shan T, Zhu J, Jiang Q, Gu L, Sun J, Bao Y, Deng B, Wang H, Wang L. Mediation Effect of Body Mass Index on the Association of Urinary Nickel Exposure with Serum Lipid Profiles. Biol Trace Elem Res 2023; 201:2733-2743. [PMID: 35915279 PMCID: PMC9342935 DOI: 10.1007/s12011-022-03375-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/28/2022] [Indexed: 11/14/2022]
Abstract
The objective of this study was to determine the relationship of urinary nickel (U-Ni) exposure to serum lipid profiles and the mediation effect of body mass index (BMI) in a US general population. We analyzed the cross-sectional data from 3517 participants in the National Health and Nutrition Examination Survey (NHANES) (2017-March 2020). Multivariable linear regression and restricted cubic spline (RCS) regression were conducted to explore the association of U-Ni with four serum lipids and four lipids-derived indicators. Mediation analysis was performed to examine the effect of BMI on the relationship between U-Ni levels and serum lipid profiles. Compared with the lowest quartile, the β with 95% confidence intervals (CIs) in the highest quartile were - 12.83 (- 19.42, - 6.25) for total cholesterol (TC) (P for trend < 0.001), - 12.76 (- 19.78, - 5.74) for non-high-density lipoprotein cholesterol (non-HDL-C) (P for trend = 0.001) and - 0.29 (- 0.51, - 0.07) for TC/HDL-C (P for trend = 0.007) in the fully adjusted model. RCS plots showed the linear association of log2-transformed U-Ni levels with TC, non-HDL-C and TC/HDL-C (P for nonlinearity = 0.294, 0.152, and 0.087, respectively). Besides, BMI decreased monotonically in correlation with increasing U-Ni levels (P for trend < 0.001). Mediation analysis revealed that BMI significantly mediated the relationship of U-Ni to TC, non-HDL-C and TC/HDL-C with mediated proportions of 11.17%, 22.20% and 36.44%, respectively. In summary, our findings suggest that BMI mediates the negative association of U-Ni with TC, non-HDL-C, and TC/HDL-C in the US general population.
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Affiliation(s)
- Sibo Wang
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China
| | - Tiankai Shan
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China
| | - Jun Zhu
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China
- Department of Cardiology, Geriatrics Hospital of Jiangsu Province, Nanjing, 210024, China
| | - Qiqi Jiang
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China
| | - Lingfeng Gu
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China
| | - Jiateng Sun
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China
| | - Yulin Bao
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China
| | - Bo Deng
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China
| | - Hao Wang
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China
| | - Liansheng Wang
- Department of Cardiology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300 Guangzhou Road, Nanjing, 210029, China.
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Li Q, Jiang Y, Song A, Li Y, Xu X, Xu R. The Association Between Chronological Age and Dyslipidemia: A Cross-Sectional Study in Chinese Aged Population. Clin Interv Aging 2023; 18:667-675. [PMID: 37101655 PMCID: PMC10124621 DOI: 10.2147/cia.s406237] [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] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 04/14/2023] [Indexed: 04/28/2023] Open
Abstract
Background and Aims Dyslipidemia is obviously an important risk factor for cardiovascular diseases, which might further lead to disability and death in aged population. We thus performed the current study to evaluate the association between chronological age and dyslipidemia. Subjects and Methods A total number of 59,716 Chinese aged population (31,174 men and 28,542 women, average age 67.8y) were included in the current study. Age and sex were abstracted from medical records. Height, body weight, and blood pressure were measured by trained nurses. Serum concentration of total cholesterol (TC) and total triglycerides were performed by enzyme-linked immunosorbent method after at least 8-h fast. Dyslipidemia was defined if total cholesterol≥5.7 mmol/L, or total triglycerides≥1.7 mmol/L, or self-reported history of dyslipidemia. Results The prevalence of dyslipidemia was 50.4% in the current study population. Compared to the youngest age group (60-64y), the adjusted odds ratio was 0.88 (95% CI: 0.84, 0.92), 0.77 (95% CI: 0.73, 0.81), 0.66 (95% CI: 0.61, 0.70), 0.55 (95% CI: 0.50, 0.59) for the participants who were 65 to 69, 70-74, 75-79, and ≥80 years old (p trend <0.001). Excluding participants with low body weight and with overweight and obesity, with high blood pressure and history of hypertension, with high fasting blood glucose and history of diabetes, generated similar results with main analysis. Conclusion Chronological age was closely associated with the risk of dyslipidemia in Chinese aged population.
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Affiliation(s)
- Qingyao Li
- Department of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, People’s Republic of China
- Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Ying Jiang
- Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Anqi Song
- Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Yun Li
- Department of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, People’s Republic of China
- Yun Li, Department of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, People’s Republic of China, Tel +86-315-8805586, Email
| | - Xinyi Xu
- School of Economics and Management, Shanghai Polytechnic University at Jing Hai Road, Shanghai, People’s Republic of China
| | - Renying Xu
- Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
- Correspondence: Renying Xu, Department of Clinical Nutrition, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China, Tel +86-21-68383335, Email
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Micó V, San-Cristobal R, Martín R, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Martín Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, García-Arellano A, Pertusa-Martinez S, Chaplin A, Garcia-Rios A, Muñoz Bravo C, Schröder H, Babio N, Sorli JV, Gonzalez JI, Martinez-Urbistondo D, Toledo E, Bullón V, Ruiz-Canela M, Portillo MP, Macías-González M, Perez-Diaz-del-Campo N, García-Gavilán J, Daimiel L, Martínez JA. Morbid liver manifestations are intrinsically bound to metabolic syndrome and nutrient intake based on a machine-learning cluster analysis. Front Endocrinol (Lausanne) 2022; 13:936956. [PMID: 36147576 PMCID: PMC9487178 DOI: 10.3389/fendo.2022.936956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/26/2022] [Indexed: 11/30/2022] Open
Abstract
Metabolic syndrome (MetS) is one of the most important medical problems around the world. Identification of patient´s singular characteristic could help to reduce the clinical impact and facilitate individualized management. This study aimed to categorize MetS patients using phenotypical and clinical variables habitually collected during health check-ups of individuals considered to have high cardiovascular risk. The selected markers to categorize MetS participants included anthropometric variables as well as clinical data, biochemical parameters and prescribed pharmacological treatment. An exploratory factor analysis was carried out with a subsequent hierarchical cluster analysis using the z-scores from factor analysis. The first step identified three different factors. The first was determined by hypercholesterolemia and associated treatments, the second factor exhibited glycemic disorders and accompanying treatments and the third factor was characterized by hepatic enzymes. Subsequently four clusters of patients were identified, where cluster 1 was characterized by glucose disorders and treatments, cluster 2 presented mild MetS, cluster 3 presented exacerbated levels of hepatic enzymes and cluster 4 highlighted cholesterol and its associated treatments Interestingly, the liver status related cluster was characterized by higher protein consumption and cluster 4 with low polyunsaturated fatty acid intake. This research emphasized the potential clinical relevance of hepatic impairments in addition to MetS traditional characterization for precision and personalized management of MetS patients.
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Affiliation(s)
- Víctor Micó
- Cardiometabolic Nutrition Group, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
- *Correspondence: Víctor Micó, ; Rodrigo San-Cristobal,
| | - Rodrigo San-Cristobal
- Cardiometabolic Nutrition Group, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
- *Correspondence: Víctor Micó, ; Rodrigo San-Cristobal,
| | - Roberto Martín
- Biostatistics and Bioinformatics Unit, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, IdiSNA-Navarra Institute for Health Research, University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Jordi Salas-Salvadó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Biochemistry and Biotechnology Department, Nutrition Unit, Institut d’Investigació Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Universitat Rovira i Virgili, Reus, Spain
| | - Dolores Corella
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Ángel M. Alonso-Gómez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country (UPV/EHU) , Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Jesús 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
| | - Dora Romaguera
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Lipids and Atherosclerosis Hospital Reina Sofía, Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J. Luís Serra-Majem
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A. Tur
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospitalet de Llobregat, Hospital Universitario de Bellvitge, Barcelona, Spain
| | | | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network CIBER Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas Jiménez Díaz Foundation Health Research Institute (IISFJD), University Autónoma, Madrid, Spain
| | - Ana García-Arellano
- Department of Emergency, Complejo Hospitalario de Navarra Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | | | - Alice Chaplin
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Lipids and Atherosclerosis Hospital Reina Sofía, Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Carlos Muñoz Bravo
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Málaga, Málaga, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Nancy Babio
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Biochemistry and Biotechnology Department, Nutrition Unit, Institut d’Investigació Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Universitat Rovira i Virgili, Reus, Spain
| | - Jose V. Sorli
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jose I. Gonzalez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Diego Martinez-Urbistondo
- Department of Preventive Medicine and Public Health, IdiSNA-Navarra Institute for Health Research, University of Navarra, Pamplona, Spain
| | - Estefania Toledo
- Department of Preventive Medicine and Public Health, IdiSNA-Navarra Institute for Health Research, University of Navarra, Pamplona, Spain
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Vanessa Bullón
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, IdiSNA-Navarra Institute for Health Research, University of Navarra, Pamplona, Spain
| | - María Puy- Portillo
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Nutrition and Obesity Group, Department of Pharmacy and Food Science, Lucio Lascaray Research Institute, University of the Basque Country (UPV/EHU), Vitoria, Spain
- Bioaraba Health Research Institute, Alava, Spain
| | - Manuel Macías-González
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | | | - Jesús García-Gavilán
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Biochemistry and Biotechnology Department, Nutrition Unit, Institut d’Investigació Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Universitat Rovira i Virgili, Reus, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
| | - J. Alfredo Martínez
- Cardiometabolic Nutrition Group, Madrid Institute for Advanced Studies (IMDEA) Food, Excellence International Campus Autónoma Madrid University (CEI UAM) + CSIC, Madrid, Spain
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
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