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Diniz TG, de Assis CS, de Sousa BRV, Batista KS, Silva AS, de Queiroga Evangelista IW, Viturino MGM, do Nascimento YM, da Silva EF, Tavares JF, Monteiro MGCA, Dos Santos Fechine CPN, E Silva AL, Persuhn DC. Analysis of metabolites associated with ADIPOQ genotypes in individuals with type 2 diabetes mellitus. Sci Rep 2024; 14:28093. [PMID: 39543306 PMCID: PMC11564893 DOI: 10.1038/s41598-024-79686-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 11/11/2024] [Indexed: 11/17/2024] Open
Abstract
Diabetes mellitus (DM) is a significant public health problem and it is known that the identification of molecular markers involved in glycemic control can impact disease control. Although the rs266729 polymorphism located in the promoter of the adiponectin gene (ADP) has been shown to be a candidate for involvement in glycemic control, the genotypic groups have never been characterized in terms of metabolomic aspects. Objective: Analyze the metabolites present in the rs266729 genotype groups. 127 diabetic individuals were compared according to the rs266729 genotype groups CC and GC + GG (RFLP-PCR). Blood plasma metabolites were classified by nuclear magnetic resonance (NMR), and the metabolic pathways of each group using the MetaboAnalyst tool. Insulin therapy (p = 0.049) was more frequent in the GC + GG rs266729 group. Lactate, alanine, glutamine, aspartate, lipid, lysine, isoleucine, citrulline, cholesterol, and fucose impacted the CC group and aspartate, beta-glucose, glutamate, pyruvate, proline, and 2-oxoglutarate impacted the CG + GG group. The glucose-alanine pathway, malate-aspartate transport, and urea cycle impacted the CC group (D-glucose, glutamic acid, L-alanine, oxoglutaric acid, and pyruvic acid). The glutamine/glutamate ratio is likely to be related to the causes of rs266729 influencing the risk of diabetes.
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Affiliation(s)
- Tainá Gomes Diniz
- Post-Graduate Program in Nutrition Science, Federal University of Paraiba, Joao Pessoa, Brazil
| | | | | | - Kamila Sabino Batista
- Semi Arid National Institute - INSA/MCTI, Campina Grande, Paraíba, CEP: 58434-700, Brazil
| | - Alexandre Sérgio Silva
- Department of Physical Education, Federal University of Paraiba (UFPB), Joao Pessoa, PB, Brazil
| | | | - Marina Gonçalves Monteiro Viturino
- Ophthalmology, Otolaryngology and Oral and Maxillofacial Surgery Unit, Lauro Wanderley University Hospital, Federal University of Paraiba, Joao Pessoa, Brazil
| | - Yuri Mangueira do Nascimento
- Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraiba, Joao Pessoa, Brazil
| | - Evandro Ferreira da Silva
- Institute for Research in Drugs and Medicines - IPeFarM, Federal University of Paraíba, João Pessoa, PB, 58051-900, Brazil
| | - Josean Fechine Tavares
- Institute for Research in Drugs and Medicines - IPeFarM, Federal University of Paraíba, João Pessoa, PB, 58051-900, Brazil
| | | | | | - Anauara Lima E Silva
- Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraiba, Joao Pessoa, Brazil
| | - Darlene Camati Persuhn
- Department of Molecular Biology/CCEN, Federal University of Paraiba (UFPB), Joao Pessoa, PB, Brazil.
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Xourafa G, Korbmacher M, Roden M. Inter-organ crosstalk during development and progression of type 2 diabetes mellitus. Nat Rev Endocrinol 2024; 20:27-49. [PMID: 37845351 DOI: 10.1038/s41574-023-00898-1] [Citation(s) in RCA: 77] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/29/2023] [Indexed: 10/18/2023]
Abstract
Type 2 diabetes mellitus (T2DM) is characterized by tissue-specific insulin resistance and pancreatic β-cell dysfunction, which result from the interplay of local abnormalities within different tissues and systemic dysregulation of tissue crosstalk. The main local mechanisms comprise metabolic (lipid) signalling, altered mitochondrial metabolism with oxidative stress, endoplasmic reticulum stress and local inflammation. While the role of endocrine dysregulation in T2DM pathogenesis is well established, other forms of inter-organ crosstalk deserve closer investigation to better understand the multifactorial transition from normoglycaemia to hyperglycaemia. This narrative Review addresses the impact of certain tissue-specific messenger systems, such as metabolites, peptides and proteins and microRNAs, their secretion patterns and possible alternative transport mechanisms, such as extracellular vesicles (exosomes). The focus is on the effects of these messengers on distant organs during the development of T2DM and progression to its complications. Starting from the adipose tissue as a major organ relevant to T2DM pathophysiology, the discussion is expanded to other key tissues, such as skeletal muscle, liver, the endocrine pancreas and the intestine. Subsequently, this Review also sheds light on the potential of multimarker panels derived from these biomarkers and related multi-omics for the prediction of risk and progression of T2DM, novel diabetes mellitus subtypes and/or endotypes and T2DM-related complications.
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Affiliation(s)
- Georgia Xourafa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Düsseldorf, Germany
| | - Melis Korbmacher
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Düsseldorf, Germany
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Düsseldorf, Germany.
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
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De Moraes ACF, Medeiros-Oliveira VC, Burford K, Schaan BD, Bloch K, de Carvalho KMB, Cureau FV, Nascimento-Ferreira MV. Association Between Sleep Time and Pro- and Anti-Inflammatory Biomarkers Is Mediated by Abdominal Obesity Among Adolescents. J Phys Act Health 2023; 20:926-933. [PMID: 37295784 DOI: 10.1123/jpah.2022-0468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 04/03/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
OBJECTIVES Movement behaviors and abdominal obesity are associated with higher inflammatory biomarkers. However, the role of waist circumference as a mediating factor is still unknown. Thus, our aims were to (1) test the associations between 24-hour movement behavior variables (physical activity, sedentary behavior, and sleep), abdominal obesity, and pro- and anti-inflammatory biomarkers; and (2) investigate whether abdominal obesity had a mediating effect between the investigated associations. METHODS This multicenter cross-sectional study included 3591 adolescents (aged 12-17 y) from 4 Brazilian cities. Waist circumference (in centimeters; at half the distance between the iliac crest and at the lower costal margin), 24-hour movement behaviors (validated questionnaire), high-sensitive C-reactive protein, and adiponectin (serum plasma) were evaluated. We used multiple mediation regression models (95% confidence interval) to determine if waist circumference mediated the association between 24-hour movement behaviors and pro- and anti-inflammatory biomarkers. RESULTS The results revealed that screen time and moderate to vigorous physical activity were not associated with pro- or anti-inflammatory biomarkers. However, sleep duration (in hours per day) was negatively associated with pro- (C-reactive protein, β = -0.08; 95% confidence interval, -0.38 to -0.02) and anti- (adiponectin, β = -0.31; 95% confidence interval, -2.13 to -0.12) inflammatory biomarkers. Our results also showed that waist circumference mediated the association between sleep duration and high-sensitive C-reactive protein (2.7%), and adiponectin (2.8%). CONCLUSION Sleep duration was inversely associated with pro- and anti-inflammatory biomarkers, and these relations were mediated by abdominal obesity. Therefore, adolescents having healthy sleep can have implications for reducing waist circumference and inflammatory indicators.
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Affiliation(s)
- Augusto César Ferreira De Moraes
- The University of Texas Health Science Center at Houston School of Public Health Austin Campus, Department of Epidemiology, Human Genetics, and Environmental Science, Michael & Susan Dell Center for Healthy Living, Austin, TX,USA
- Department of Epidemiology, Graduate Program in Public Health and Graduate Program in Epidemiology, School of Public Health, University of Sao Paulo, Sao Paulo, SP,Brazil
- YCARE (Youth/Child and cArdiovascular Risk and Environmental) Research Group, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP,Brazil
| | - Vanessa Cassia Medeiros-Oliveira
- Department of Epidemiology, Graduate Program in Public Health and Graduate Program in Epidemiology, School of Public Health, University of Sao Paulo, Sao Paulo, SP,Brazil
- YCARE (Youth/Child and cArdiovascular Risk and Environmental) Research Group, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP,Brazil
| | - Katie Burford
- The University of Texas Health Science Center at Houston School of Public Health Austin Campus, Department of Epidemiology, Human Genetics, and Environmental Science, Michael & Susan Dell Center for Healthy Living, Austin, TX,USA
| | - Beatriz D Schaan
- Faculty of Medicine, Graduate Program in Cardiology and Cardiovascular Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS,Brazil
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS,Brazil
- Faculty of Medicine, Graduate Program in Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS,Brazil
| | - Katia Bloch
- Instituto de Estudos em Saúde Coletiva, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ,Brazil
| | | | - Felipe Vogt Cureau
- Graduate Program in Cardiology and Cardiovascular Sciences, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS,Brazil
| | - Marcus Vinicius Nascimento-Ferreira
- YCARE (Youth/Child and cArdiovascular Risk and Environmental) Research Group, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP,Brazil
- HEALth, pHYsical activity and Behavior ReseArch (HEALTHY-BRA) group, Federal University of Tocantins, Campus Miracema, Miracema, TO,Brazil
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Wi M, Kim Y, Kim CH, Lee S, Bae GS, Leem J, Chu H. Effectiveness and Safety of Fufang Danshen Dripping Pill (Cardiotonic Pill) on Blood Viscosity and Hemorheological Factors for Cardiovascular Event Prevention in Patients with Type 2 Diabetes Mellitus: Systematic Review and Meta-Analysis. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1730. [PMID: 37893448 PMCID: PMC10608055 DOI: 10.3390/medicina59101730] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/19/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023]
Abstract
Background and Objectives: Diabetes can cause various vascular complications. The Compounded Danshen-Dripping-Pill (CDDP) is widely used in China. This study aimed to analyze the effectiveness and safety of CDDP in the blood viscosity (BV) with type 2 diabetes mellitus (T2DM). Materials and Methods: We conducted a systematic search of seven databases from their inception to July 2022 for randomized controlled trials that used CDDP to treat T2DM. To evaluate BV, we measured low shear rate (LSR), high shear rate (HSR), and plasma viscosity (PV). Homocysteine and adiponectin levels were also assessed as factors that could affect BV. Results: We included 18 studies and 1532 patients with T2DM. Meta-analysis revealed that CDDP significantly reduced LSR (mean difference [MD] -2.74, 95% confidence interval [CI] -3.77 to -1.72), HSR (MD -0.86, 95% CI -1.08 to -0.63), and PV (MD -0.37, 95% CI -0.54 to -0.19) compared to controls. CDDP also reduced homocysteine (MD -8.32, 95% CI -9.05 to -7.58), and increased plasma adiponectin (MD 2.72, 95% CI 2.13 to 3.32). Adverse events were reported less frequently in the treatment groups than in controls. Conclusions: CDDP is effective in reducing BV on T2DM. However, due to the poor design and quality of the included studies, high-quality, well-designed studies are required in the future.
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Affiliation(s)
- Minji Wi
- College of Korean Medicine, Wonkwang University, Iksandaero 460, Iksan 54538, Jeollabuk-do, Republic of Korea; (M.W.); (Y.K.)
| | - Yumin Kim
- College of Korean Medicine, Wonkwang University, Iksandaero 460, Iksan 54538, Jeollabuk-do, Republic of Korea; (M.W.); (Y.K.)
| | - Cheol-Hyun Kim
- Department of Internal Medicine and Neuroscience, College of Korean Medicine, Wonkwang University, Iksandaero 460, Iksan 54538, Jeollabuk-do, Republic of Korea; (C.-H.K.); (S.L.)
| | - Sangkwan Lee
- Department of Internal Medicine and Neuroscience, College of Korean Medicine, Wonkwang University, Iksandaero 460, Iksan 54538, Jeollabuk-do, Republic of Korea; (C.-H.K.); (S.L.)
| | - Gi-Sang Bae
- Department of Pharmacology, School of Korean Medicine, Wonkwang University, Iksandaero 460, Iksan 54538, Jeollabuk-do, Republic of Korea;
- Hanbang Cardio-Renal Syndrome Research Center, School of Korean Medicine, Wonkwang University, Iksandaero 460, Iksan 54538, Jeollabuk-do, Republic of Korea
| | - Jungtae Leem
- College of Korean Medicine, Wonkwang University, Iksandaero 460, Iksan 54538, Jeollabuk-do, Republic of Korea; (M.W.); (Y.K.)
- Korean Traditional Medicine Institute, Wonkwang University, Iksandaero 460, Iksan 54538, Jeollabuk-do, Republic of Korea
- Research Center of Traditional Korean Medicine, College of Korean Medicine, Wonkwang University, Iksandaero 460, Sin-dong, Iksan 54538, Jeollabuk-do, Republic of Korea
| | - Hongmin Chu
- Department of Internal Medicine and Neuroscience, College of Korean Medicine, Wonkwang University, Iksandaero 460, Iksan 54538, Jeollabuk-do, Republic of Korea; (C.-H.K.); (S.L.)
- Wollong Public Health Subcenter, Paju Public Health Center, Paju 10924, Gyeonggi-do, Republic of Korea
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Gradidge PJL, Jaff NG, Norris SA, Toman M, Crowther NJ. The negative association of lower body fat mass with cardiometabolic disease risk factors is partially mediated by adiponectin. Endocr Connect 2022; 11:e220156. [PMID: 36169024 PMCID: PMC9641776 DOI: 10.1530/ec-22-0156] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 09/28/2022] [Indexed: 11/08/2022]
Abstract
Gluteofemoral fat correlates negatively with a number of cardiometabolic disease risk factors, but the mechanisms involved in these relationships are unknown. The aim of this study was to test the hypothesis that gluteofemoral fat attenuates the risk of cardiometabolic disease by increasing blood adiponectin levels. This was a cross-sectional study in which arm, leg, gluteofemoral, abdominal s.c. and visceral fat levels were measured by dual-energy X-ray absorptiometry in 648 African females. Fasting serum adiponectin, lipid, insulin and plasma glucose levels and blood pressure were measured. Relationships between variables were analysed using multivariable linear regression and structural equation modelling. Adiponectin correlated positively (β = 0.45, P < 0.0001) with gluteofemoral fat in a multivariable regression model that included age, height, and arm, s.c. and visceral fat levels. In further regression models, there was a negative correlation of gluteofemoral fat with fasting glucose (β = -0.28; P < 0.0001) and triglyceride levels (β = -0.29; P < 0.0001) and insulin resistance (HOMA; β = -0.26; P < 0.0001). Structural equation modelling demonstrated that adiponectin mediated 20.7% (P < 0.01) of the association of gluteofemoral fat with insulin resistance and 16.1% (P < 0.01) of the association with triglyceride levels but only 6.67% (P = 0.31) of the association with glucose levels. These results demonstrate that gluteofemoral and leg fat are positively associated with adiponectin levels and that the negative association of lower body fat with insulin resistance and triglyceride levels may partially be mediated by this adipokine. Further studies are required to determine other factors that mediate the effect of lower body fat on cardiometabolic disease risk factors.
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Affiliation(s)
- Philippe Jean-Luc Gradidge
- Centre for Exercise Science and Sports Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole G Jaff
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Shane A Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Global Health Research Institute, School of Human Development and Health, University of Southampton, Southampton, UK
| | - Marketa Toman
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nigel J Crowther
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Mendelian randomization study reveals a causal relationship between adiponectin and LDL cholesterol in Africans. Sci Rep 2022; 12:18955. [PMID: 36347891 PMCID: PMC9643497 DOI: 10.1038/s41598-022-21922-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 10/05/2022] [Indexed: 11/10/2022] Open
Abstract
Adiponectin has been associated with cardiometabolic traits in observational studies across populations, yet it is unclear if these associations are causal. We performed Mendelian randomization (MR) analysis to assess the relationship between adiponectin and cardiometabolic traits in sub-Saharan Africans. We constructed a polygenic risk score (PRS) for adiponectin levels across 3354 unrelated sub-Saharan Africans. The PRS was used as the instrumental variable in two-stage least-squares MR analysis to assess its association with insulin resistance, HDL, LDL, total cholesterol, triglycerides, blood pressure, Type 2 Diabetes (T2D), and hypertension. The adiponectin PRS was causally related with LDL (β = 0.55, 95%CI 0.07-1.04, P-value = 0.024) but not the other traits. This association was observed in both overweight/obese and normal weight individuals, but only reached statistical significance among overweight/obese individuals (β = 0.55, 95%CI 0.01-1.08, P-value = 0.045). In normal weight individuals, the adiponectin PRS was associated with T2D (OR = 0.13, 95%CI 0.02-0.73, P-value = 0.021), and in men with HDL (β = 1.03, 95%CI 0.14-1.92, P-value = 0.023). The findings of this first MR study in sub-Saharan Africans support a causal relationship of adiponectin with LDL, with T2D in normal weight individuals only, and with HDL in men only. These observations add to the small but growing literature on adiponectin MR studies.
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Spasovska M, General Hospital, Ohrid, R.Macedonia, Panovska TK, Faculty of Pharmacy, Ss. Cyril and Methodius University, Skopje, R. Macedonia;. Correlation between adiponectin level and obesity as a risk factor for allergy disease. UKRAINIAN BIOCHEMICAL JOURNAL 2022. [DOI: 10.15407/ubj94.03.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Much research has focused on the connection between two inflammatory conditions, allergic reactions and obesity which has led to a focus on adiponectin, hormone with anti-inflammatory properties secreted by adipose tissue. The aim of this study was to determine the association of adiponectin with obesity, as a risk factor for the development of allergic condition in order to rationalize approach to its treatment. Research methods for inflammatory markers and biochemical parameters involve immunoassay technique. Statistical analysis was performed with Student’s t-test, Wilcoxon T-test and coefficient of correlation. The study included apparently healthy subjects and patients with allergy conditions with confirmed presence of specific IgE, classified into 2 groups according to their body mass index (BMI). The obtained data showed negative correlation (cor = – 0.6), between adiponectin levels and BMI values. Thus, decreased level of adiponectin is associated with increased BMI. The mean values of adiponectin in the studied population, with high statistical differences between the groups (19.1 ± 1.5; 17.7 ± 0.9), (18.8± 1.1; 16.6 ± 1.0) demonstrated the relationship between low adiponectin level and development of obesity, and what, in turn, increasd risk of developing allergic conditions. The assumption was made that adiponectin may be used as a sensitive biochemical marker for early diagnostics of allergic reactions. Keywords: adiponectin, allergy reactions, obesity, specific IgE
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Kim D, Justice AE, Chittoor G, Blanco E, Burrows R, Graff M, Howard AG, Wang Y, Rohde R, Buchanan VL, Voruganti VS, Almeida M, Peralta J, Lehman DM, Curran JE, Comuzzie AG, Duggirala R, Blangero J, Albala C, Santos JL, Angel B, Lozoff B, Gahagan S, North KE. Genetic determinants of metabolic biomarkers and their associations with cardiometabolic traits in Hispanic/Latino adolescents. Pediatr Res 2022; 92:563-571. [PMID: 34645953 PMCID: PMC9005573 DOI: 10.1038/s41390-021-01729-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 06/08/2021] [Accepted: 08/17/2021] [Indexed: 01/05/2023]
Abstract
BACKGROUND Metabolic regulation plays a significant role in energy homeostasis, and adolescence is a crucial life stage for the development of cardiometabolic disease (CMD). This study aims to investigate the genetic determinants of metabolic biomarkers-adiponectin, leptin, ghrelin, and orexin-and their associations with CMD risk factors. METHODS We characterized the genetic determinants of the biomarkers among Hispanic/Latino adolescents of the Santiago Longitudinal Study (SLS) and identified the cumulative effects of genetic variants on adiponectin and leptin using biomarker polygenic risk scores (PRS). We further investigated the direct and indirect effect of the biomarker PRS on downstream body fat percent (BF%) and glycemic traits using structural equation modeling. RESULTS We identified putatively novel genetic variants associated with the metabolic biomarkers. A substantial amount of biomarker variance was explained by SLS-specific PRS, and the prediction was improved by including the putatively novel loci. Fasting blood insulin and insulin resistance were associated with PRS for adiponectin, leptin, and ghrelin, and BF% was associated with PRS for adiponectin and leptin. We found evidence of substantial mediation of these associations by the biomarker levels. CONCLUSIONS The genetic underpinnings of metabolic biomarkers can affect the early development of CMD, partly mediated by the biomarkers. IMPACT This study characterized the genetic underpinnings of four metabolic hormones and investigated their potential influence on adiposity and insulin biology among Hispanic/Latino adolescents. Fasting blood insulin and insulin resistance were associated with polygenic risk score (PRS) for adiponectin, leptin, and ghrelin, with evidence of some degree of mediation by the biomarker levels. Body fat percent (BF%) was also associated with PRS for adiponectin and leptin. This provides important insight on biological mechanisms underlying early metabolic dysfunction and reveals candidates for prevention efforts. Our findings also highlight the importance of ancestrally diverse populations to facilitate valid studies of the genetic architecture of metabolic biomarker levels.
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Affiliation(s)
- Daeeun Kim
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anne E Justice
- Department of Population Health Sciences, Geisinger, Danville, PA, USA
| | - Geetha Chittoor
- Department of Population Health Sciences, Geisinger, Danville, PA, USA
| | - Estela Blanco
- Division of Academic General Pediatrics, Child Development and Community Health at the Center for Community Health, University of California at San Diego, San Diego, CA, USA
- Department of Public Health, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Raquel Burrows
- Department of Public Health Nutrition, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Annie Green Howard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yujie Wang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca Rohde
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Victoria L Buchanan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - V Saroja Voruganti
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Marcio Almeida
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Juan Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Donna M Lehman
- Departments of Medicine and Epidemiology and Biostatistics, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | | | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Cecilia Albala
- Department of Public Health Nutrition, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - José L Santos
- Department of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Bárbara Angel
- Department of Public Health Nutrition, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - Betsy Lozoff
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - Sheila Gahagan
- Division of Academic General Pediatrics, Child Development and Community Health at the Center for Community Health, University of California at San Diego, San Diego, CA, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Effect of Adiponectin Variant on Lipid Profile and Plasma Adiponectin Levels: A Multicenter Systematic Review and Meta-Analysis. Cardiovasc Ther 2022; 2022:4395266. [PMID: 35909951 PMCID: PMC9283072 DOI: 10.1155/2022/4395266] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/17/2022] [Accepted: 06/18/2022] [Indexed: 11/17/2022] Open
Abstract
Background. Adiponectin is a recognized antiatherogenic molecule; this study was aimed at clarifying the effects of adiponectin variants on lipid and adiponectin levels. Methods. By searching PubMed and Cochrane databases for studies published before March 31, 2022, a total of 86,610 individuals were included in the analysis. Results. Variants of rs2241766 and rs266729 were associated with decreased adiponectin and high-density lipoprotein cholesterol (HDL-C), as well as increased triglycerides (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) levels. In contrast, the rs1501299 variant was correlated with increased adiponectin and HDL-C, as well as decreased TG, TC, and LDL-C levels. Subgroup analysis indicated that the significant effect of the rs2241766 and rs266729 variants on lipid profile was predominant in Chinese, while the significant effect of the rs1501299 variant on lipid profile was primarily in Caucasians. Moreover, a stronger effect of the rs2241766 and rs1501299 variants on LDL-C levels was observed in males, while a considerable effect of the rs266729 variant on LDL-C levels was observed in children. Conclusions. The present study indicated that Chinese with the rs2241766 and rs266729 variants were at high risk of dyslipidemia, atherosclerosis, or coronary artery disease (CAD). Males with the rs2241766 variant were at high risk of CAD. Children with the rs266729 variant had a high risk to develop dyslipidemia, atherosclerosis, and even early onset of CAD in the future. These findings are beneficial to clinical physicians to choose different management strategies for cardiovascular disease (CVD) prevention.
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Nagrani R, Foraita R, Wolters M, De Henauw S, Marild S, Molnár D, Moreno LA, Russo P, Tornaritis M, Veidebaum T, Ahrens W, Marron M. Longitudinal association of inflammatory markers with markers of glycaemia and insulin resistance in European children. Diabetes Metab Res Rev 2022; 38:e3511. [PMID: 34748681 DOI: 10.1002/dmrr.3511] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 10/25/2021] [Indexed: 01/07/2023]
Abstract
PURPOSE Subclinical systemic inflammation may lead to development of type 2 diabetes, but there has been no investigation into its relationship with early progression of glycaemic deterioration and insulin resistance, especially in younger population. In this study we assessed longitudinal associations of pro- and anti-inflammatory markers with markers that evaluate glycaemia and insulin resistance. METHODS This study includes 6537 initially nondiabetic children (mean age at baseline = 6.2 years) with repeated measurements from the IDEFICS/I.Family cohort study (mean follow-up = 5.3 years) from eight European countries. Markers of inflammation were used as independent variables and markers of glycaemia/insulin resistance as dependent variables. Associations were examined using two-level growth model. Models were adjusted for sex, age, major lifestyle, metabolic risk factors, early life markers, and other inflammatory markers in final model. RESULTS Children with 6 years of follow-up showed that a one-unit increase in z-score of leptin level was associated with 0.38 (95% CI = 0.32 to 0.44) unit increase in HOMA-IR z-scores. Leptin continued to be associated with HOMA-IR even when analysis was limited to children with no overall obesity, no abdominal obesity, and low to normal triglyceride levels. An inverse association was observed between IL-15 and HOMA-IR (β = -0.11, 95% CI = -0.15 to -0.07). CONCLUSIONS IL-15 should be evaluated further in the prevention or treatment of prediabetes whereas leptin may prove to be useful in early detection of prediabetes via their association with markers of insulin resistance in European children.
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Affiliation(s)
- Rajini Nagrani
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
| | - Ronja Foraita
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
| | - Stefaan De Henauw
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Staffan Marild
- Department of Paediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Dénes Molnár
- Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Luis A Moreno
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, University of Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IIS Aragón) Zaragoza, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Paola Russo
- Institute of Food Sciences, National Research Council, Avellino, Italy
| | | | | | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
- Institute of Statistics, Faculty of Mathematics and Computer Science, Bremen University, Bremen, Germany
| | - Manuela Marron
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
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11
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Genetic variations in adiponectin levels and dietary patterns on metabolic health among children with normal weight versus obesity: the BCAMS study. Int J Obes (Lond) 2022; 46:325-332. [PMID: 34716426 PMCID: PMC9131437 DOI: 10.1038/s41366-021-01004-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 10/13/2021] [Accepted: 10/15/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND/OBJECTIVES Adiponectin represents an important link between adipose tissue dysfunction and cardiometabolic risk in obesity; however, there is a lack of data on the effects of adiponectin-related genetic variations and gene-diet interactions on metabolic disorders in children. We aimed to investigate possible interactions between adiponectin-related genetic variants and habitual dietary patterns on metabolic health among children with normal weight versus overweight/obesity, and whether these effects in childhood longitudinally contribute to metabolic risk at follow-up. SUBJECTS/METHODS In total, 3,317 Chinese children aged 6-18 at baseline and 339 participants at 10-year follow-up from the Beijing Child and Adolescent Metabolic Syndrome study cohort were included. Baseline lifestyle factors, plasma adiponectin levels, and six adiponectin-related genetic variants resulting from GWAS in East Asians (loci in/near ADIPOQ, CDH13, WDR11FGF, CMIP, and PEPD) were assessed for their associations with the metabolic disorders. Being metabolically unhealthy was defined by exhibiting any metabolic syndrome component. RESULTS Among the six loci, ADIPOQ rs6773957 (OR 1.26, 95% CI:1.07-1.47, P = 0.004) and adiponectin receptor CDH13 rs4783244 (0.82, 0.69-0.96, P = 0.017) were correlated with metabolic risks independent of lifestyle factors in normal-weight children, but the associations were less obvious in those with overweight/obesity. A significant interaction between rs6773957 and diet (Pinteraction = 0.004) for metabolic health was observed in normal-weight children. The adiponectin-decreasing allele of rs6773957 was associated with greater metabolic risks in individuals with unfavorable diet patterns (P < 0.001), but not in those with healthy patterns (P > 0.1). A similar interaction effect was observed using longitudinal data (Pinteraction = 0.029). CONCLUSIONS These findings highlight a novel gene-diet interaction on the susceptibility to cardiometabolic disorders, which has a long-term impact from childhood onward, particularly in those with normal weight. Personalized dietary advice in these individuals may be recommended as an early possible therapeutic measure to improve metabolic health.
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12
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Sun Y, Lu YK, Gao HY, Yan YX. Effect of Metabolite Levels on Type 2 Diabetes Mellitus and Glycemic Traits: A Mendelian Randomization Study. J Clin Endocrinol Metab 2021; 106:3439-3447. [PMID: 34363473 DOI: 10.1210/clinem/dgab581] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To assess the causal associations of plasma levels of metabolites with type 2 diabetes mellitus (T2DM) and glycemic traits. METHODS Two-sample mendelian randomization (MR) was conducted to assess the causal associations. Genetic variants strongly associated with metabolites at genome-wide significance level (P < 5 × 10-8) were selected from public genome-wide association studies, and single-nucleotide polymorphisms of outcomes were obtained from the Diabetes Genetics Replication and Meta-analysis consortium for T2DM and from the Meta-Analyses of Glucose and Insulin-related Traits Consortium for fasting glucose, insulin, and glycated hemoglobin (HbA1c). The Wald ratio and inverse-variance weighted methods were used for analyses, and MR-Egger was used for sensitivity analysis. RESULTS The β estimates per 1-SD increase of arachidonic acid (AA) level was 0.16 (95% CI, 0.078-0.242; P < 0.001). Genetic predisposition to higher plasma AA levels were associated with higher fasting glucose levels (β 0.10 [95% CI, 0.064-0.134], P < 0.001), higher HbA1c levels (β 0.04 [95% CI, 0.027-0.061]), and lower fasting insulin levels (β -0.025 [95% CI, -0.047 to -0.002], P = 0.033). Besides, 2-hydroxybutyric acid (2-HBA) might have a positive causal effect on glycemic traits. CONCLUSIONS Our findings suggest that AA and 2-HBA may have causal associations on T2DM and glycemic traits. This is beneficial for clarifying the pathogenesis of T2DM, which would be valuable for early identification and prevention for T2DM.
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Affiliation(s)
- Yue Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Ya-Ke Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Hao-Yu Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Yu-Xiang Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
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13
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Adiponectin and Asthma: Knowns, Unknowns and Controversies. Int J Mol Sci 2021; 22:ijms22168971. [PMID: 34445677 PMCID: PMC8396527 DOI: 10.3390/ijms22168971] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/11/2021] [Accepted: 08/16/2021] [Indexed: 12/14/2022] Open
Abstract
Adiponectin is an adipokine associated with the healthy obese phenotype. Adiponectin increases insulin sensitivity and has cardio and vascular protection actions. Studies related to adiponectin, a modulator of the innate and acquired immunity response, have suggested a role of this molecule in asthma. Studies based on various asthma animal models and on the key cells involved in the allergic response have provided important insights about this relation. Some of them indicated protection and others reversed the balance towards negative effects. Many of them described the cellular pathways activated by adiponectin, which are potentially beneficial for asthma prevention or for reduction in the risk of exacerbations. However, conclusive proofs about their efficiency still need to be provided. In this article, we will, briefly, present the general actions of adiponectin and the epidemiological studies supporting the relation with asthma. The main focus of the current review is on the mechanisms of adiponectin and the impact on the pathobiology of asthma. From this perspective, we will provide arguments for and against the positive influence of this molecule in asthma, also indicating the controversies and sketching out the potential directions of research to complete the picture.
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14
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Jang AY, Scherer PE, Kim JY, Lim S, Koh KK. Adiponectin and cardiometabolic trait and mortality: where do we go? Cardiovasc Res 2021; 118:2074-2084. [PMID: 34117867 DOI: 10.1093/cvr/cvab199] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 06/11/2021] [Indexed: 12/19/2022] Open
Abstract
Adiponectin is an adipocyte-derived cytokine known for its cardioprotective effects in preclinical studies. Early epidemiologic studies replicated these findings and drew great interest. Subsequent large-scale prospective cohorts, however, showed that adiponectin levels seemed not to relate to incident coronary artery disease (CAD). Even more surprisingly, a paradoxical increase of all-cause and cardiovascular (CV) mortality with increased adiponectin levels was reported. The adiponectin-mortality paradox has been explained by some groups asserting that adiponectin secretion is promoted by elevated natriuretic peptides (NP). Other groups have proposed that adiponectin is elevated due to adiponectin resistance in subjects with metabolic syndrome or heart failure (HF). However, there is no unifying theory that can clearly explain this paradox. In patients with HF with reduced ejection fraction (HFrEF), stretched cardiomyocytes secrete NPs, which further promote release of adiponectin from adipose tissue, leading to adiponectin resistance. On the other hand, adiponectin biology may differ in patients with heart failure with preserved ejection fraction (HFpEF), which constitutes 50% of all of HF. Most HFpEF patients are obese, which exerts inflammation and myocardial stiffness, that is likely to prevent myocardial stretch and subsequent NP release. This segment of the patient population may display a different adiponectin biology from its HFrEF counterpart. Dissecting the adiponectin-mortality relation in terms of different HF subtypes may help to comprehensively understand this paradox. Mendelian Randomization (MR) analyses claimed that adiponectin levels are not causally related to CAD or metabolic syndrome. Results from MR studies, however, should be interpreted with great caution because the underlying history of CAD or CHF were not taken into account in these analyses, an issue that may substantially confound the results. Here, we discuss many aspects of adiponectin; cardiometabolic traits, therapeutic interventions, and the ongoing debate about the adiponectin paradox, which were recently described in basic, epidemiologic, and clinical studies.
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Affiliation(s)
- Albert Youngwoo Jang
- Division of Cardiovascular Disease, Gachon University Gil Hospital, Incheon, Korea, Gachon Cardiovascular Research Institute, Incheon, Korea
| | - Philipp E Scherer
- Touchstone Diabetes Center, Departments of Internal Medicine and Cell Biology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, ., Dallas, TX, 75390-8549, USA
| | - Jang Young Kim
- Department of Internal Medicine, Yonsei University, Wonju College of Medicine, Wonju, Korea
| | - Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea
| | - Kwang Kon Koh
- Division of Cardiovascular Disease, Gachon University Gil Hospital, Incheon, Korea, Gachon Cardiovascular Research Institute, Incheon, Korea
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15
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Causal Relationship between Adiponectin and Diabetic Retinopathy: A Mendelian Randomization Study in an Asian Population. Genes (Basel) 2020; 12:genes12010017. [PMID: 33374471 PMCID: PMC7823606 DOI: 10.3390/genes12010017] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/04/2020] [Accepted: 12/22/2020] [Indexed: 01/03/2023] Open
Abstract
Adiponectin (APN) is suggested to be a potential biomarker for predicting diabetic retinopathy (DR) risk, but the association between APN and DR has been inconsistent in observational studies. We used a Mendelian randomization (MR) analysis to evaluate if circulating APN levels result in DR. We applied three different genetic risk scores (GRS): GRSAll combined all 47 single nucleotide polymorphisms (SNPs), which from a genome-wide association study (GWAS) database-catalog reach significance level; GRSLimited comprised 16 GRSAll-SNPs with a rigorous threshold (p < 5.0 × 10-8 for GWAS), and GRSAPN combined 5 SNPs significantly associated with APN level. The MR-inverse-variance weighted method analysis showed that for each 1-SD increase in genetically induced increase in plasma APN, the OR of having DR was β = 0.20 (95% CI: -0.46-0.85, p = 0.553) for GRSAPN, 0.61 (95% CI: 0.10-1.13, p = 0.020) for GRSAll, and 0.57 (95% CI: -0.06 to 1.20, p = 0.078) for GRSLimited. Sensitivity analysis, including MR-egger regression and the weighted-median approach, did not provide evidence of the pleiotropic effect of IVs. Limited evidence for the causal role of APN in DR risk among Taiwanese diabetic patients was shown based on MR analysis in the present study.
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16
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Nielsen MB, Çolak Y, Benn M, Nordestgaard BG. Causal Relationship between Plasma Adiponectin and Body Mass Index: One- and Two-Sample Bidirectional Mendelian Randomization Analyses in 460 397 Individuals. Clin Chem 2020; 66:1548-1557. [PMID: 33106853 DOI: 10.1093/clinchem/hvaa227] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 08/31/2020] [Indexed: 11/12/2022]
Abstract
BACKGROUND Adiponectin is a protein hormone produced by adipocytes that may play an important role in obesity. However, the causal interrelation between plasma adiponectin and body mass index (BMI) is still uncertain. We tested the hypotheses that (a) plasma adiponectin and BMI are inversely associated observationally, (b) genetically high BMI is associated with lower plasma adiponectin, and (c) genetically high plasma adiponectin is associated with lower BMI. METHODS Information on 108 896 individuals from the Copenhagen General Population Study was used in observational and bidirectional one-sample Mendelian randomization analyses, using 5 genetic variants for BMI and 3 for adiponectin. For independent confirmation, information on 322 154 individuals from the GIANT consortium, and 29 347 individuals from the ADIPOGen consortium was used in bidirectional two-sample Mendelian randomization analysis, using 68 genetic variants for BMI and 14 for adiponectin. RESULTS In observational analyses, a 1 kg/m2 increase in BMI was associated with -0.44 µg/mL (95% confidence interval: -0.46, -0.42) in plasma adiponectin, whereas a 1 µg/mL increase in plasma adiponectin was associated with -0.11 kg/m2 (-0.12, -0.11) in BMI. In causal genetic analyses, no associations were observed between BMI and plasma adiponectin and vice versa. In one-sample Mendelian randomization analyses, a 1 kg/m2 genetically determined increase in BMI was associated with -0.13 µg/mL (-0.53, 0.28) in plasma adiponectin, whereas a 1 µg/mL genetically determined increase in plasma adiponectin was associated with 0.01 kg/m2 (-0.05, 0.07) in BMI. Corresponding estimates in the two-sample Mendelian randomization analyses were 0.03 µg/mL (-0.02, 0.07) and 0.03 kg/m2(-0.02, 0.07), respectively. CONCLUSIONS Observationally, plasma adiponectin and BMI are inversely associated. In contrast, genetically high plasma adiponectin is unlikely to influence BMI, and genetically high BMI is unlikely to influence plasma adiponectin.
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Affiliation(s)
- Maria Booth Nielsen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yunus Çolak
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marianne Benn
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Børge Grønne Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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17
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Francischetti EA, Dezonne RS, Pereira CM, de Moraes Martins CJ, Celoria BMJ, de Oliveira PAC, de Abreu VG. Insights Into the Controversial Aspects of Adiponectin in Cardiometabolic Disorders. Horm Metab Res 2020; 52:695-707. [PMID: 32927496 DOI: 10.1055/a-1239-4349] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
In 2016, the World Health Organization estimated that more than 1.9 billion adults were overweight or obese. This impressive number shows that weight excess is pandemic. Overweight and obesity are closely associated with a high risk of comorbidities, such as insulin resistance and its most important outcomes, including metabolic syndrome, type 2 diabetes mellitus, and cardiovascular disease. Adiponectin has emerged as a salutary adipocytokine, with insulin-sensitizing, anti-inflammatory, and cardiovascular protective properties. However, under metabolically unfavorable conditions, visceral adipose tissue-derived inflammatory cytokines might reduce the transcription of the adiponectin gene and consequently its circulating levels. Low circulating levels of adiponectin are negatively associated with various conditions, such as insulin resistance, type 2 diabetes mellitus, metabolic syndrome, and cardiovascular disease. In contrast, several recent clinical trials and meta-analyses have reported high circulating adiponectin levels positively associated with cardiovascular mortality and all-cause mortality. These results are biologically intriguing and counterintuitive, and came to be termed "the adiponectin paradox". Adiponectin paradox is frequently associated with adiponectin resistance, a concept related with the downregulation of adiponectin receptors in insulin-resistant states. We review this contradiction between the apparent role of adiponectin as a health promoter and the recent evidence from Mendelian randomization studies indicating that circulating adiponectin levels are an unexpected predictor of increased morbidity and mortality rates in several clinical conditions. We also critically review the therapeutic perspective of synthetic peptide adiponectin receptors agonist that has been postulated as a promising alternative for the treatment of metabolic syndrome and type 2 diabetes mellitus.
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Affiliation(s)
- Emilio Antonio Francischetti
- Laboratory of Clinical and Experimental Pathophysiology, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Rômulo Sperduto Dezonne
- Postgraduate Program in Translational Biomedicine, Grande Rio University, Duque de Caxias, Brazil
| | - Cláudia Maria Pereira
- Postgraduate Program in Translational Biomedicine, Grande Rio University, Duque de Caxias, Brazil
| | - Cyro José de Moraes Martins
- Laboratory of Clinical and Experimental Pathophysiology, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | | | | | - Virgínia Genelhu de Abreu
- Laboratory of Clinical and Experimental Pathophysiology, Rio de Janeiro State University, Rio de Janeiro, Brazil
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18
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Zhang Y, Peltonen M, Andersson-Assarsson JC, Svensson PA, Herder C, Rudin A, Carlsson L, Maglio C. Elevated adiponectin predicts the development of rheumatoid arthritis in subjects with obesity. Scand J Rheumatol 2020; 49:452-460. [PMID: 32667228 DOI: 10.1080/03009742.2020.1753808] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Objective The aim of the current study is to determine whether baseline serum adiponectin levels predict the development of rheumatoid arthritis (RA). Method The current report includes 3693 individuals from the Swedish Obese Subjects (SOS) study. The original SOS study is a longitudinal non-randomized controlled study aiming to assess the effect of bariatric surgery on obesity-related mortality and morbidity. Participants included in the present report had adiponectin measurement available at baseline and no prevalent RA. The diagnosis of RA was retrieved through the Swedish National Patient Register. Results During a follow-up for up to 29 years, 82 study participants developed RA. Elevated baseline adiponectin levels were associated with a higher risk of developing RA independently of other factors, including C-reactive protein (CRP) and smoking [hazard ratio (HR) 1.70, 95% confidence interval (CI) 1.12-2.60 for an increase in adiponectin of 10 mg/L, p = 0.01]. After stratifying the population according to adiponectin and CRP median at baseline, study participants with both adiponectin and CRP above the median had a higher risk of developing RA compared to subjects with adiponectin and CRP below the median (HR 2.80, 95% CI 1.25-6.31, p = 0.01). Conclusions In this cohort of subjects with obesity followed up for up to 29 years, high serum adiponectin levels at baseline were associated with an increased risk for RA. Moreover, subjects with both high adiponectin and CRP levels at baseline were at particular risk of developing RA. ClinicalTrials.gov Identifier: NCT01479452.
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Affiliation(s)
- Y Zhang
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg , Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine at University of Gothenburg , Gothenburg, Sweden
| | - M Peltonen
- National Institute for Health and Welfare , Helsinki, Finland
| | - J C Andersson-Assarsson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg , Gothenburg, Sweden
| | - P-A Svensson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg , Gothenburg, Sweden.,Institute of Health and Care Sciences, Sahlgrenska Academy at University of Gothenburg , Gothenburg, Sweden
| | - C Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine University Duesseldorf , Duesseldorf, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Duesseldorf , Duesseldorf, Germany
| | - A Rudin
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg , Gothenburg, Sweden
| | - Lms Carlsson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg , Gothenburg, Sweden
| | - C Maglio
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg , Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine at University of Gothenburg , Gothenburg, Sweden
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19
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Genetic variation, adipokines, and cardiometabolic disease. Curr Opin Pharmacol 2020; 52:33-39. [PMID: 32480034 DOI: 10.1016/j.coph.2020.04.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 04/21/2020] [Accepted: 04/22/2020] [Indexed: 11/24/2022]
Abstract
Adipokines are adipocyte-secreted cell signalling proteins that travel to distant target organs and tissues, where they regulate a variety of biological actions implicated in cardiometabolic health. In the past decade, genome-wide association studies have identified multiple genetic variants associated with circulating levels of adipokines, providing new instruments for examining the role of adipokines in cardiometabolic pathologies. Currently, there is limited genetic evidence of causal relationships between adipokines and cardiometabolic disease, which is consistent with findings from randomized clinical trials that have thus far shown limited success for adipokine-based treatments in improving cardiometabolic health. Incorporating human genetic data in early phases of target selection is essential for enhancing the success of adipokine-based therapies for cardiometabolic disease.
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20
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Paduszyńska A, Sakowicz A, Banach M, Maciejewski M, Dąbrowa M, Bielecka-Dąbrowa A. Cardioprotective properties of leptin in patients with excessive body mass. Ir J Med Sci 2020; 189:1259-1265. [PMID: 32198598 PMCID: PMC7554003 DOI: 10.1007/s11845-020-02211-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 03/11/2020] [Indexed: 11/25/2022]
Abstract
Background Adipose tissue is producing adipokines that play different roles in the pathophysiology of cardiovascular disease. Aims The study aimed to assess the role of selected biomarkers in hypertensive patients with overweight and obesity compared with those with normal body-mass index (BMI). Methods A total of 62 patients with BMI < 25 kg/m2 (median age 54 (46–58) yrs., 57% males) and 51 with BMI ≥ 25 kg/m2 (median age 53 (48–59) yrs., 37% males) were enrolled. Biochemical parameters, leptin, adiponectin, and resistin; asymmetric dimethylarginine; interleukin 6; and N-terminal propeptide of type III procollagen, were assessed in plasma. The evaluation of hemodynamic parameters was performed using SphygmoCor 9.0 tonometer. Echocardiography was performed using AlokaAlpha 10 Premier device. Results Overweight and obese patients had significantly higher concentration of leptin (34 vs 18 ng/ml; p = 0.03), ADMA (0.43 vs 0.38 μmol/l, p = 0.04), and lower concentration of adiponectin (5.3 vs 7 μg/ml, p = 0.01). The only significant difference in tonometry analysis was higher aortic pulse pressure (mmHg) in patients with BMI ≥ 25 kg/m2 group (34 vs 30; p = 0.03). These patients had also significantly lower peak systolic velocity and early diastolic velocity in tissue Doppler imaging of the right ventricle free wall at the level of the tricuspid annulus compared with controls (p = 0.02 and p = 0.001, respectively). The level of leptin is correlated negatively with the left ventricular mass index (LVMI) (R Spearman = − 0.5; p = 0.002) and PWV (R = − 0.4; p = 0.01) and ADMA with total and LDL cholesterol (R = − 0.42; p = 0.008), and adiponectin is correlated positively with HDL cholesterol (R = 0.67; p = 0.0001). Conclusions Leptin concentrations were inversely proportional to LVMI and PWV in patients with BMI < 25 kg/m2. Trial registration Clinicaltrials.gov study ID: NCT04175080.
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Affiliation(s)
- Aleksandra Paduszyńska
- Department of Hypertension, Chair of Nephrology and Hypertension, Medical University of Lodz, Lodz, Poland
| | - Agata Sakowicz
- Department of Medical Biotechnology, Medical University of Lodz, Lodz, Poland
| | - Maciej Banach
- Department of Hypertension, Chair of Nephrology and Hypertension, Medical University of Lodz, Lodz, Poland
- Department of Cardiology and Congenital Diseases of Adults, Polish Mother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland
| | - Marek Maciejewski
- Department of Cardiology and Congenital Diseases of Adults, Polish Mother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland
| | - Marek Dąbrowa
- Department of Biopharmacy, Chair of Biopharmacy, Medical University of Lodz, Lodz, Poland
| | - Agata Bielecka-Dąbrowa
- Department of Hypertension, Chair of Nephrology and Hypertension, Medical University of Lodz, Lodz, Poland.
- Department of Cardiology and Congenital Diseases of Adults, Polish Mother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland.
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21
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Adiyaman SC, Ozer M, Saydam BO, Akinci B. The Role of Adiponectin in Maintaining Metabolic Homeostasis. Curr Diabetes Rev 2020; 16:95-103. [PMID: 31267874 DOI: 10.2174/1573399815666190702155733] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 03/22/2019] [Accepted: 06/20/2019] [Indexed: 01/01/2023]
Abstract
BACKGROUND Adiponectin is an adipocyte-derived cytokine closely associated with obesity, altered body adipose tissue distribution, insulin resistance, and cardiovascular diseases. INTRODUCTION Evidence from animal and human studies demonstrate that adiponectin plays an important role in the regulation of glucose and lipid metabolism. Adiponectin increases insulin sensitivity and improves systemic lipid metabolism. Although research efforts on adiponectin mostly aim towards its endocrine functions, this adipocyte-derived molecule also has profound autocrine and paracrine functions. CONCLUSION In this review, our aim is to discuss the role of adiponectin in maintaining metabolic homeostasis and its association with cardiovascular health. The proper identification of these roles is of great importance, which has the potential to identify a wealth of novel targets for the treatment of diabetes and related cardio-metabolic diseases.
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Affiliation(s)
| | - Muhammet Ozer
- Department of Internal Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Basak Ozgen Saydam
- Division of Endocrinology and Metabolism, Dokuz Eylul University, Izmir, Turkey
| | - Baris Akinci
- Division of Endocrinology and Metabolism, Dokuz Eylul University, Izmir, Turkey
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22
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Chen Z, Bai Y, Long X, Luo Q, Wen Z, Li Y, Huang S, Yan Y, Mo Z. Effects of Adiponectin on T2DM and Glucose Homeostasis: A Mendelian Randomization Study. Diabetes Metab Syndr Obes 2020; 13:1771-1784. [PMID: 32547139 PMCID: PMC7250315 DOI: 10.2147/dmso.s248352] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 04/19/2020] [Indexed: 12/16/2022] Open
Abstract
PURPOSE The associations of adiponectin with type 2 diabetes mellitus (T2DM), glucose homeostasis (including β-cell function index (HOMA-β), insulin resistance (HOMA-IR), fasting insulin (FI) and fasting glucose (FG)) have reported in epidemiological studies. However, the previous observational studies are prone to biases, such as reverse causation and residual confounding factors. Herein, a Mendelian Randomization (MR) study was conducted to determine whether causal effects exist among them. MATERIALS AND AND METHODS Two-sample MR analyses and multiple sensitivity analyses were performed using the summary data from the ADIPOGen consortium, MAGIC Consortium, and a meta-analysis of GWAS with a considerable sample of T2DM (62,892 cases and 596,424 controls of European ancestry). We got eight valid genetic variants to predict the causal effect among adiponectin and T2DM and glucose homeostasis after excluding the probable invalid or pleiotropic variants. RESULTS Adiponectin was not associated with T2DM (odds ratio (OR) = 1.004; 95% confidence interval (CI): 0.740, 1.363) when using MR Egger after removing the invalid SNPs, and the results were consistent when using the other four methods. Similar results existed among adiponectin and HOMA-β, HOMA-IR, FI, FG. CONCLUSION Our MR study revealed that adiponectin had no causal effect on T2DM and glucose homeostasis and that the associations among them in observational studies may be due to confounding factors.
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Affiliation(s)
- Zefeng Chen
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory of Colleges and Universities, Nanning530021, Guangxi, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
| | - Yulan Bai
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory of Colleges and Universities, Nanning530021, Guangxi, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
| | - Xinyang Long
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory of Colleges and Universities, Nanning530021, Guangxi, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
| | - Qianqian Luo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory of Colleges and Universities, Nanning530021, Guangxi, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
| | - Zheng Wen
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory of Colleges and Universities, Nanning530021, Guangxi, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
| | - Yuanfan Li
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory of Colleges and Universities, Nanning530021, Guangxi, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
| | - Shengzhu Huang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory of Colleges and Universities, Nanning530021, Guangxi, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
| | - Yunkun Yan
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory of Colleges and Universities, Nanning530021, Guangxi, People’s Republic of China
- School of Public Health, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning530021, Guangxi, People’s Republic of China
- Guangxi Key Laboratory of Colleges and Universities, Nanning530021, Guangxi, People’s Republic of China
- Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning530021, Guangxi, People’s Republic of China
- Correspondence: Zengnan Mo Center for Genomic and Personalized Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning530021, Guangxi, People’s Republic of ChinaTel +86771-5353342 Email
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23
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Abstract
BMC Medicine was launched in November 2003 as an open access, open peer-reviewed general medical journal that has a broad remit to publish "outstanding and influential research in all areas of clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities". Here, I discuss the last 15 years of epidemiological research published by BMC Medicine, with a specific focus on how this reflects changes occurring in the field of epidemiology over this period; the impact of 'Big Data'; the reinvigoration of debates about causality; and, as we increasingly work across and with many diverse disciplines, the use of the name 'population health science'. Reviewing all publications from the first volume to the end of 2018, I show that most BMC Medicine papers are epidemiological in nature, and the majority of them are applied epidemiology, with few methodological papers. Good research must address important translational questions that should not be driven by the increasing availability of data, but should take appropriate advantage of it. Over the next 15 years it would be good to see more publications that integrate results from several different methods, each with different sources of bias, in a triangulation framework.
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Affiliation(s)
- Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Science, Bristol Medical School and Bristol NIHR Biomedical Research Centre, Bristol, UK.
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24
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Bell JA, Hamer M, Richmond RC, Timpson NJ, Carslake D, Davey Smith G. Associations of device-measured physical activity across adolescence with metabolic traits: Prospective cohort study. PLoS Med 2018; 15:e1002649. [PMID: 30204755 PMCID: PMC6133272 DOI: 10.1371/journal.pmed.1002649] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 08/03/2018] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Multiple occasions of device-measured physical activity have not been previously examined in relation to metabolic traits. We described associations of total activity, moderate-to-vigorous physical activity (MVPA), and sedentary time from three accelerometry measures taken across adolescence with detailed traits related to systemic metabolism. METHODS AND FINDINGS There were 1,826 male and female participants recruited at birth in 1991-1992 via mothers into the Avon Longitudinal Study of Parents and Children offspring cohort who attended clinics in 2003-2005, 2005-2006, and 2006-2008 who were included in ≥1 analysis. Waist-worn uniaxial accelerometers measured total activity (counts/min), MVPA (min/d), and sedentary time (min/d) over ≥3 d at mean age 12y, 14y, and 15y. Current activity (at age 15y), mean activity across occasions, interaction by previous activity, and change in activity were examined in relation to systolic and diastolic blood pressure, insulin, C-reactive protein, and 230 traits from targeted metabolomics (nuclear magnetic resonance spectroscopy), including lipoprotein cholesterol and triglycerides, amino and fatty acids, glycoprotein acetyls, and others, at age 15y. Mean current total activity was 477.5 counts/min (SD = 164.0) while mean MVPA and sedentary time durations were 23.6 min/d (SD = 17.9) and 522.1 min/d (SD = 66.0), respectively. Mean body mass index at age 15y was 21.4 kg/m2 (SD = 3.5). Correlations between first and last activity measurement occasions were low (e.g., r = 0.40 for counts/min). Current activity was most strongly associated with cholesterol and triglycerides in high-density lipoprotein (HDL) and very low-density lipoprotein (VLDL) particles (e.g., -0.002 mmol/l or -0.18 SD units; 95% CI -0.24--0.11 for triglycerides in chylomicrons and extremely large very low-density lipoprotein [XL VLDL]) and with glycoprotein acetyls (-0.02 mmol/l or -0.16 SD units; 95% CI -0.22--0.10), among others. Associations were similar for mean activity across 3 occasions. Attenuations were modest with adjustment for fat mass index based on dual-energy X-ray absorptiometry (DXA). In mutually adjusted models, higher MVPA and sedentary time were oppositely associated with cholesterol and triglycerides in VLDL and HDL particles (MVPA more strongly with glycoprotein acetyls and sedentary time more strongly with amino acids). Associations appeared less consistent for sedentary time than for MVPA based on longer-term measures and were weak for change in all activity types from age 12y-15y. Evidence was also weak for interaction between activity types at age 15y and previous activity measures in relation to most traits (minimum P = 0.003; median P = 0.26 for counts/min) with interaction coefficients mostly positive. Study limitations include modest sample sizes and relatively short durations of accelerometry measurement on each occasion (3-7 d) and of time lengths between first and last accelerometry occasions (<4 years), which can obscure patterns from chance variation and limit description of activity trajectories. Activity was also recorded using uniaxial accelerometers which predated more sensitive triaxial devices. CONCLUSIONS Our results support associations of physical activity with metabolic traits that are small in magnitude and more robust for higher MVPA than lower sedentary time. Activity fluctuates over time, but associations of current activity with most metabolic traits do not differ by previous activity. This suggests that the metabolic effects of physical activity, if causal, depend on most recent engagement.
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Affiliation(s)
- Joshua A. Bell
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Mark Hamer
- School of Sport, Exercise & Health Sciences, Loughborough University, Leicestershire, United Kingdom
| | - Rebecca C. Richmond
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - David Carslake
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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25
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Abstract
Von Willebrand factor (VWF) is a multimeric plasma glycoprotein that plays a central role in the initiation of blood coagulation. Through interactions between its specific functional domains, the vascular wall, coagulation factor VIII, and platelet receptors, VWF maintains hemostasis by binding to platelets and delivering factor VIII to the sites of vascular injury. In the healthy human population, plasma VWF levels vary widely. The important role of VWF is illustrated by individuals at the extremes of the normal distribution of plasma VWF concentrations where individuals with low VWF levels are more likely to present with mucocutaneous bleeding. Conversely, people with high VWF levels are at higher risk for venous thromboembolic disease, stroke, and coronary artery disease. This report will summarize recent advances in our understanding of environmental influences and the genetic control of VWF plasma variation in healthy and symptomatic populations and will also highlight the unanswered questions that are currently driving this field of study.
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Affiliation(s)
- Karl C Desch
- Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, Michigan, USA
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