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Guglielmi V, Dalle Grave R, Leonetti F, Solini A. Female obesity: clinical and psychological assessment toward the best treatment. Front Endocrinol (Lausanne) 2024; 15:1349794. [PMID: 38765954 PMCID: PMC11099266 DOI: 10.3389/fendo.2024.1349794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 04/19/2024] [Indexed: 05/22/2024] Open
Abstract
Obesity is a heterogeneous condition which results from complex interactions among sex/gender, sociocultural, environmental, and biological factors. Obesity is more prevalent in women in most developed countries, and several clinical and psychological obesity complications show sex-specific patterns. Females differ regarding fat distribution, with males tending to store more visceral fat, which is highly correlated to increased cardiovascular risk. Although women are more likely to be diagnosed with obesity and appear more motivated to lose weight, as confirmed by their greater representation in clinical trials, males show better outcomes in terms of body weight and intra-abdominal fat loss and improvements in the metabolic risk profile. However, only a few relatively recent studies have investigated gender differences in obesity, and sex/gender is rarely considered in the assessment and management of the disease. This review summarizes the evidence of gender differences in obesity prevalence, contributing factors, clinical complications, and psychological challenges. In addition, we explored gender differences in response to obesity treatments in the specific context of new anti-obesity drugs.
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Affiliation(s)
- Valeria Guglielmi
- Unit of Internal Medicine and Obesity Center, Department of Systems Medicine, Policlinico Tor Vergata, University of Rome Tor Vergata, Rome, Italy
| | - Riccardo Dalle Grave
- Department of Eating and Weight Disorders, Villa Garda Hospital, Garda, VR, Italy
| | - Frida Leonetti
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Anna Solini
- Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy
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Li T, Zhang Y, Zhou Z, Zhang Y, Song X, Zhou X, Wan Z, Ruan Y. Causal associations of immune cells with benign prostatic hyperplasia: insights from a Mendelian randomization study. World J Urol 2024; 42:216. [PMID: 38581575 DOI: 10.1007/s00345-024-04913-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 02/29/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND Previous research has focused on the association between immune cells and the development of benign prostatic hyperplasia (BPH). Nevertheless, the causal relationships in this context remain uncertain. METHODS This study employed a comprehensive and systematic two-sample Mendelian randomization (MR) analysis to determine the causal relationships between immunophenotypes and BPH. We examined the causal associations between 731 immunophenotypes and the risk of BPH by utilizing publicly available genetic data. Integrated sensitivity analyses were performed to validate the robustness, assess heterogeneity, and examine horizontal pleiotropy in the results. RESULTS We discovered that 38 immunophenotypes have a causal effect on BPH. Subsequently, four of these immunophenotypes underwent verification using weighted median, weighted mode, and inverse variance weighted (IVW) algorithms, which included CD19 on CD24+ CD27+, CD19 on naive-mature B cell, HLA DR on CD14- CD16+ and HLA DR+ T cell%lymphocyte. Furthermore, BPH exhibited a significant association with three immunophenotypes: CD19 on IgD+ CD38dim (β = -0.152, 95% CI = 0.746-0.989, P = 0.034), CD19 on IgD+ (β = -0.167, 95% CI = 0.737-0.973, P = 0.019), and CD19 on naive-mature B cell (β = -0.166, 95% CI = 0.737-0.972, P = 0.018). CONCLUSIONS Our study provides valuable insights for future clinical investigations by establishing a significant association between immune cells and BPH.
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Affiliation(s)
- Tiewen Li
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Wujin Road 85, Shanghai, 200080, China
| | - Yichen Zhang
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Wujin Road 85, Shanghai, 200080, China
| | - Zeng Zhou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Wujin Road 85, Shanghai, 200080, China
| | - Yu Zhang
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Wujin Road 85, Shanghai, 200080, China
| | - Xiaodong Song
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Wujin Road 85, Shanghai, 200080, China
| | - Xuehao Zhou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Wujin Road 85, Shanghai, 200080, China
| | - Zhong Wan
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Wujin Road 85, Shanghai, 200080, China.
| | - Yuan Ruan
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Wujin Road 85, Shanghai, 200080, China.
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Alser M, Naja K, Elrayess MA. Mechanisms of body fat distribution and gluteal-femoral fat protection against metabolic disorders. Front Nutr 2024; 11:1368966. [PMID: 38590830 PMCID: PMC10999599 DOI: 10.3389/fnut.2024.1368966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/07/2024] [Indexed: 04/10/2024] Open
Abstract
Obesity is a major health problem that affects millions of individuals, and it is associated with metabolic diseases including insulin resistance (IR), type 2 diabetes (T2D), and cardiovascular diseases (CVDs). However, Body fat distribution (BFD) rather than crude obesity is now considered as a more accurate factor associated with these diseases. The factors affecting BFD vary, from genetic background, epigenetic factors, ethnicity, aging, hormonal changes, to lifestyle and medication consumptions. The main goal of controlling BFD comes from the fact that fat accumulation in different depots has a different effect on the overall health and metabolic health of individuals. It is well established that fat storage in the abdominal visceral depot is associated with metabolic disorder occurrence, while gluteal-femoral subcutaneous fat depot seems to be protective against these diseases. In this paper, we will summarize the factors affecting fat distribution. Then, we will present evidence connecting gluteal-femoral fat depot with protection against metabolic disorders including IR, T2D, and CVDs. Finally, we will list the suggested mechanisms that lead to this protective effect. The abstract is visualized in Graphical Abstract.
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Affiliation(s)
- Maha Alser
- Biomedical Research Center, Qatar University, Doha, Qatar
| | - Khaled Naja
- Biomedical Research Center, Qatar University, Doha, Qatar
| | - Mohamed A. Elrayess
- Biomedical Research Center, Qatar University, Doha, Qatar
- QU Health, Qatar University, Doha, Qatar
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Rodríguez Lastra J, Cardona YG. Loss of subcutaneous fat in 20 patients, both sexes, using a second-generation TECAR device of 1.240 Watts and results analyzed with magnetic resonance. J Cosmet Dermatol 2024; 23:869-875. [PMID: 38062900 DOI: 10.1111/jocd.16078] [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: 04/20/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 02/24/2024]
Abstract
BACKGROUND Body contouring and abdominal fat loss without surgery are increasingly used technique. In a study in pigs, it is noted that both capacitive and resistive radiofrequency stimulation reduced subcutaneous fat. One human study demonstrated a loss of 2.90 cm in waist diameter. Second-generation TECAR (Acronym for Transfer Electric Capacitive and Resistive) device with 4 channels, 200 cm2 work area per channel, and high power (1240 W), regulates body energy input by measuring absorption in the body and adjusting the power for 80 min at 50°C. AIMS To evaluate the loss of subcutaneous fat, this magnitude was measured in grams and centimeters throughout the abdomen by MRI before and after each treatment. SUBJECT AND METHODS We have studied 25 patients, 13 women and 12 men with a mean age of 49 years. All patients had their waist diameter measured and an MRI performed before and after 10 continuous sessions except Saturday and Sunday, over 2 weeks. Additionally, a lipid profile was performed on the same day of the study and at the end of it. The study was approved by the Ethics Committee. RESULTS Waist diameter decreased by 5.5 cm, these differences being statistically significant (p = 0.000). Subcutaneous fat measured by MRI in cm decreased by 784 cm (p = 0.000). In grams, it decreased 808.7 g (p = 0.000). In the lipid profile, all the values decreased, but they were not statistically significant. CONCLUSIONS The use of this second generation of TECAR equipment at 1 MHz decreases the waist diameter by more than 5 cm and leads to the loss of more than 800 grams of subcutaneous fat in 12 days. It is a method without risks or side effects, well tolerated, and an alternative for those patients who do not want to go to the operating room.
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Nielsen MB, Çolak Y, Benn M, Mason A, Burgess S, Nordestgaard BG. Plasma adiponectin levels and risk of heart failure, atrial fibrillation, aortic valve stenosis, and myocardial infarction: large-scale observational and Mendelian randomization evidence. Cardiovasc Res 2024; 120:95-107. [PMID: 37897683 PMCID: PMC10898934 DOI: 10.1093/cvr/cvad162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 09/07/2023] [Accepted: 09/23/2023] [Indexed: 10/30/2023] Open
Abstract
AIMS Adiponectin may play an important protective role in heart failure and associated cardiovascular diseases. We hypothesized that plasma adiponectin is associated observationally and causally, genetically with risk of heart failure, atrial fibrillation, aortic valve stenosis, and myocardial infarction. METHODS AND RESULTS In the Copenhagen General Population Study, we examined 30 045 individuals with plasma adiponectin measurements observationally and 96 903 individuals genetically in one-sample Mendelian randomization analyses using five genetic variants explaining 3% of the variation in plasma adiponectin. In the HERMES, UK Biobank, The Nord-Trøndelag Health Study (HUNT), deCODE, the Michigan Genomics Initiative (MGI), DiscovEHR, and the AFGen consortia, we performed two-sample Mendelian randomization analyses in up to 1 030 836 individuals using 12 genetic variants explaining 14% of the variation in plasma adiponectin.In observational analyses modelled linearly, a 1 unit log-transformed higher plasma adiponectin was associated with a hazard ratio of 1.51 (95% confidence interval: 1.37-1.66) for heart failure, 1.63 (1.50-1.78) for atrial fibrillation, 1.21 (1.03-1.41) for aortic valve stenosis, and 1.03 (0.93-1.14) for myocardial infarction; levels above the median were also associated with an increased risk of myocardial infarction, and non-linear U-shaped associations were more apparent for heart failure, aortic valve stenosis, and myocardial infarction in less-adjusted models. Corresponding genetic, causal risk ratios were 0.92 (0.65-1.29), 0.87 (0.68-1.12), 1.55 (0.87-2.76), and 0.93 (0.67-1.30) in one-sample Mendelian randomization analyses, and no significant associations were seen for non-linear one-sample Mendelian randomization analyses; corresponding causal risk ratios were 0.99 (0.89-1.09), 1.00 (0.92-1.08), 1.01 (0.79-1.28), and 0.99 (0.86-1.13) in two-sample Mendelian randomization analyses, respectively. CONCLUSION Observationally, elevated plasma adiponectin was associated with an increased risk of heart failure, atrial fibrillation, aortic valve stenosis, and myocardial infarction. However, genetic evidence did not support causality for these associations.
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Affiliation(s)
- Maria Booth Nielsen
- Department of Clinical Biochemistry, Copenhagen University Hospital—Herlev and Gentofte, Borgmester Ib Juuls Vej 73, Entrance 7, 4. Floor, M3, DK-2730 Herlev, Copenhagen, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital—Herlev and Gentofte, Borgmester Ib Juuls Vej 73, Entrance 7, 4. Floor, M3, DK-2730 Herlev, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen N, Copenhagen, Denmark
| | - Yunus Çolak
- The Copenhagen General Population Study, Copenhagen University Hospital—Herlev and Gentofte, Borgmester Ib Juuls Vej 73, Entrance 7, 4. Floor, M3, DK-2730 Herlev, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen N, Copenhagen, Denmark
- Department of Respiratory Medicine, Copenhagen University Hospital—Herlev and Gentofte, Copenhagen, Denmark
| | - Marianne Benn
- The Copenhagen General Population Study, Copenhagen University Hospital—Herlev and Gentofte, Borgmester Ib Juuls Vej 73, Entrance 7, 4. Floor, M3, DK-2730 Herlev, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen N, Copenhagen, Denmark
- Department of Clinical Biochemistry, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
| | - Amy Mason
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom
| | - Stephen Burgess
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Heart and Lung Research Institute, University of Cambridge, Cambridge, United Kingdom
| | - Børge Grønne Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital—Herlev and Gentofte, Borgmester Ib Juuls Vej 73, Entrance 7, 4. Floor, M3, DK-2730 Herlev, Copenhagen, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital—Herlev and Gentofte, Borgmester Ib Juuls Vej 73, Entrance 7, 4. Floor, M3, DK-2730 Herlev, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen N, Copenhagen, Denmark
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Zhou X, Lian P, Liu H, Wang Y, Zhou M, Feng Z. Causal Associations between Gut Microbiota and Different Types of Dyslipidemia: A Two-Sample Mendelian Randomization Study. Nutrients 2023; 15:4445. [PMID: 37892520 PMCID: PMC10609956 DOI: 10.3390/nu15204445] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/11/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023] Open
Abstract
The determination of a causal association between gut microbiota and a range of dyslipidemia remains uncertain. To clarify these associations, we employed a two-sample Mendelian randomization (MR) analysis utilizing the inverse-variance weighted (IVW) method. This comprehensive analysis investigated the genetic variants that exhibited a significant association (p < 5 × 10-8) with 129 distinct gut microbiota genera and their potential link to different types of dyslipidemia. The results indicated a potential causal association between 22 gut microbiota genera and dyslipidemia in humans. Furthermore, these findings suggested that the impact of gut microbiota on dyslipidemia regulation is dependent on the specific phylum, family, and genus. Bacillota phylum demonstrated the greatest diversity, with 15 distinct genera distributed among eight families. Notably, gut microbiota-derived from the Lachnospiraceae and Lactobacillaceae families exhibit statistically significant associations with lipid levels that contribute to overall health (p < 0.05). The sensitivity analysis indicated that our findings possess robustness (p > 0.05). The findings of our investigation provide compelling evidence that substantiates a causal association between the gut microbiota and dyslipidemia in the human body. It is noteworthy to highlight the significant influence of the Bacillota phylum as a crucial regulator of lipid levels, and the families Lachnospiraceae and Lactobacillaceae should be recognized as probiotics that significantly contribute to this metabolic process.
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Affiliation(s)
| | | | | | | | - Meijuan Zhou
- Department of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, NMPA Key Laboratory for Safety Evaluation of Cosmetics, School of Public Health, Southern Medical University, Guangzhou 510515, China; (X.Z.); (P.L.); (H.L.); (Y.W.)
| | - Zhijun Feng
- Department of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, NMPA Key Laboratory for Safety Evaluation of Cosmetics, School of Public Health, Southern Medical University, Guangzhou 510515, China; (X.Z.); (P.L.); (H.L.); (Y.W.)
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Tadiotto MC, Corazza PRP, Menezes-Junior FJD, Moraes-Junior FBD, Tozo TAA, Purim KSM, Mota J, Leite N. Effects and individual response of continuous and interval training on adiponectin concentration, cardiometabolic risk factors, and physical fitness in overweight adolescents. Eur J Pediatr 2023:10.1007/s00431-023-04974-6. [PMID: 37055629 DOI: 10.1007/s00431-023-04974-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 03/21/2023] [Accepted: 04/05/2023] [Indexed: 04/15/2023]
Abstract
This study aimed to evaluate the effect and individual responsiveness after 12 weeks of high-intensity interval training (HIIT) and moderate-intensity of continuous training (MICT) on adiponectin, cardiometabolic risk factors and physical fitness in overweight adolescents. This study was participated by 52 adolescents, both sexes, 11 and 16 years old, separated into HIIT (n = 13), MICT (n = 15), and control group (CG, n = 24). Body mass, height, waist circumference (WC), fat mass (FM), fat-free mass (FFM), blood pressure, high-density lipoprotein (HDL-c), low-density lipoprotein (LDL-c), triglycerides, glucose, insulin, adiponectin, and C-reactive protein (CRP) were evaluated. Body mass index z-score (BMI-z), waist-to-height ratio (WHtR), insulin resistance, and insulin sensitivity were calculated. Resting heart rate (HRrest), peak oxygen consumption (VO2peak), right handgrip strength (HGS-right), left handgrip strength (HGS-left), and abdominal resistance (ABD) was evaluated. HIIT session lasted around 35 min and MICT of 60 min of exercises on stationary bicycle, three times a weekday for 12 weeks. ANOVA, effect size, and prevalence of responders were used for statistical analysis. HIIT reduced BMI-z, WHtR, LDL-c, and CRP, while increased of physical fitness. MICT reduced HDL-c, while increased of physical fitness. CG reduced FM, HDL-c, and CRP, while increased FFM and HRrest. Frequencies of respondents in HIIT were observed for CRP, VO2peak, HGS-right, and HGS-left. Frequencies of respondents in MICT were observed for CRP and HGS-right. Frequencies of no-respondents in CG were observed for WC, WHtR, CRP, HRrest, and ABD. Conclusion: Interventions with exercises were effective to adiposity, metabolic health, and physical fitness improvements. Individual responses were observed in inflammatory process and physical fitness, important changes in overweight adolescent's therapy. Trial registration number and date of registration: This study was registered with the Brazilian Registry of Clinical Trials (REBEC), the number RBR-6343y7, date of registration May 3, 2017. What is Known: • Effect of regular physical exercise positively affects overweight, comorbidities, and metabolic diseases, recommended mainly for children and adolescents. What is New: • Due to the great inter-individual variability, the same stimulus can provide different responses; adolescents who benefit from the stimulus are considered responsive. • Intervention of HIIT and MICT did not alter the concentrations of adiponectin; however, the adolescents presented responsiveness to the inflammatory process and physical fitness.
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Affiliation(s)
- Maiara Cristina Tadiotto
- Department of Physical Education, Federal University of Paraná, Col. Francisco H. dos Santos, Curitiba, Brazil, 81531-980.
| | - Patricia Ribeiro Paes Corazza
- Department of Physical Education, Federal University of Paraná, Col. Francisco H. dos Santos, Curitiba, Brazil, 81531-980
| | | | | | | | | | - Jorge Mota
- Faculty of Sport, University of Porto, Porto, Portugal
| | - Neiva Leite
- Department of Physical Education, Federal University of Paraná, Col. Francisco H. dos Santos, Curitiba, Brazil, 81531-980
- Faculty of Sport, University of Porto, Porto, Portugal
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Treiber G, Guilleux A, Huynh K, Bonfanti O, Flaus-Furmaniuk A, Couret D, Mellet N, Bernard C, Le-Moullec N, Doray B, Jéru I, Maiza JC, Domun B, Cogne M, Meilhac O, Vigouroux C, Meikle PJ, Nobécourt E. Lipoatrophic diabetes in familial partial lipodystrophy type 2: From insulin resistance to diabetes. DIABETES & METABOLISM 2023; 49:101409. [PMID: 36400409 DOI: 10.1016/j.diabet.2022.101409] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 11/17/2022]
Abstract
AIM Subjects with Familial Partial Lipodystrophy type 2 (FPLD2) are at high risk to develop diabetes. To better understand the natural history and variability of this disease, we studied glucose tolerance, insulin response to an oral glucose load, and metabolic markers in the largest cohort to date of subjects with FPLD2 due to the same LMNA variant. METHODS A total of 102 patients aged > 18 years, with FPLD2 due to the LMNA 'Reunionese' variant p.(Thr655Asnfs*49) and 22 unaffected adult relatives with normal glucose tolerance (NGT) were enrolled. Oral Glucose Tolerance Tests (OGTT) with calculation of derived insulin sensitivity and secretion markers, and measurements of HbA1c, C-reactive protein, leptin, adiponectin and lipid profile were performed. RESULTS In patients with FPLD2: 65% had either diabetes (41%) or prediabetes (24%) despite their young age (median: 39.5 years IQR 29.0-50.8) and close-to-normal BMI (median: 25.5 kg/m2 IQR 23.1-29.4). Post-load OGTT values revealed insulin resistance and increased insulin secretion in patients with FPLD2 and NGT, whereas patients with diabetes were characterized by decreased insulin secretion. Impaired glucose tolerance with normal fasting glucose was present in 86% of patients with prediabetes. Adiponectin levels were decreased in all subjects with FPLD2 and correlated with insulin sensitivity markers. CONCLUSIONS OGTT reveals early alterations of glucose and insulin metabolism in patients with FPLD2, and should be systematically performed before excluding a diagnosis of prediabetes or diabetes to adapt medical care. Decreased adiponectin is an early marker of the disease. Adiponectin replacement therapy warrants further study in FPLD2.
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Affiliation(s)
- Guillaume Treiber
- Department of Endocrinology, Diabetes and Nutrition, GHSR, Centre Hospitalo-Universitaire de la Réunion, Saint-Pierre, La Réunion, France; University of La Réunion, INSERM, UMR 1188 Diabète Athérothrombose Thérapies Réunion Océan Indien (DéTROI), Plateforme CYROI, Saint-Denis de, La Réunion, France
| | - Alice Guilleux
- Centre d'Investigation Clinique - Epidémiologie Clinique (CIC-EC) U1410 INSERM, Centre Hospitalo-Universitaire de la Réunion, La Réunion, France
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Oriane Bonfanti
- Department of Endocrinology, Diabetes and Nutrition, GHSR, Centre Hospitalo-Universitaire de la Réunion, Saint-Pierre, La Réunion, France
| | - Ania Flaus-Furmaniuk
- Department of Endocrinology, Diabetes and Nutrition, Felix-Guyon, Centre Hospitalo-Universitaire de la Réunion, Saint-Denis, La Réunion, France
| | - David Couret
- University of La Réunion, INSERM, UMR 1188 Diabète Athérothrombose Thérapies Réunion Océan Indien (DéTROI), Plateforme CYROI, Saint-Denis de, La Réunion, France; Neurocritical Care Unit, Centre Hospitalo-Universitaire de la Réunion, University of La Réunion, BP 350, Saint Pierre, 97448, la Réunion, France
| | - Natalie Mellet
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Céline Bernard
- Department of Endocrinology, Diabetes and Nutrition, GHSR, Centre Hospitalo-Universitaire de la Réunion, Saint-Pierre, La Réunion, France
| | - Nathalie Le-Moullec
- Department of Endocrinology, Diabetes and Nutrition, GHSR, Centre Hospitalo-Universitaire de la Réunion, Saint-Pierre, La Réunion, France
| | - Berenice Doray
- Genetic Department, Felix-Guyon, Centre Hospitalo-Universitaire de la Réunion, Saint-Denis, La Réunion, France
| | - Isabelle Jéru
- Sorbonne Université, Inserm UMR S938, Saint-Antoine Research Centre, Institute of Cardiometabolism and Nutrition, AP-HP, Pitié-Salpêtrière Hospital, Department of Medical Genetics, DMU BioGeM, Paris, France
| | - Jean-Christophe Maiza
- Department of Endocrinology, Diabetes and Nutrition, GHSR, Centre Hospitalo-Universitaire de la Réunion, Saint-Pierre, La Réunion, France
| | - Bhoopendrasing Domun
- Department of Endocrinology, Diabetes and Nutrition, GHSR, Centre Hospitalo-Universitaire de la Réunion, Saint-Pierre, La Réunion, France
| | - Muriel Cogne
- Department of Endocrinology, Diabetes and Nutrition, GHSR, Centre Hospitalo-Universitaire de la Réunion, Saint-Pierre, La Réunion, France
| | - Olivier Meilhac
- University of La Réunion, INSERM, UMR 1188 Diabète Athérothrombose Thérapies Réunion Océan Indien (DéTROI), Plateforme CYROI, Saint-Denis de, La Réunion, France
| | - Corinne Vigouroux
- Sorbonne Université, Inserm UMR S938, Saint-Antoine Research Centre, Institute of Cardiometabolism and Nutrition, AP-HP, Saint-Antoine Hospital, Genetics, Molecular Biology and Endocrinology Departments, National Reference Centre for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Paris, France
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Bundoora, Victoria, Australia
| | - Estelle Nobécourt
- Department of Endocrinology, Diabetes and Nutrition, GHSR, Centre Hospitalo-Universitaire de la Réunion, Saint-Pierre, La Réunion, France; University of La Réunion, INSERM, UMR 1188 Diabète Athérothrombose Thérapies Réunion Océan Indien (DéTROI), Plateforme CYROI, Saint-Denis de, La Réunion, France; Centre d'Investigation Clinique - Epidémiologie Clinique (CIC-EC) U1410 INSERM, Centre Hospitalo-Universitaire de la Réunion, La Réunion, France.
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9
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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: 0] [Impact Index Per Article: 0] [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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10
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Santos FSD, Oliveira IOD, Mintem GC, Horta BL, Gigante DP. Epidemiology of interleukin-6: the 30-year follow-up of the 1982 Pelotas (Brazil) birth cohort study. Ann Hum Biol 2022; 48:525-533. [PMID: 35105198 DOI: 10.1080/03014460.2021.1998619] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Cardiovascular diseases are the main cause of death globally. Interleukin-6 (IL-6) is a biomarker of cardiovascular risk. AIM To investigate factors associated with IL-6 concentration in serum, from early life up to 30 years of age. SUBJECTS AND METHODS In the 2012-2013 follow-up, IL-6 was measured in 2809 participants of the 1982 Pelotas Birth Cohort (1369 males). Multivariable linear regressions, stratified by sex, were performed to evaluate the associations of African ancestry, family income and maternal education at birth, monthly income and education at 30 years, smoking status, harmful alcohol intake, physical activity, and body composition with IL-6, considering a conceptual hierarchical framework. RESULTS Males with low educational levels and current smokers had the highest mean IL-6. Among females, African ancestry and low monthly income were associated with the highest mean values for the outcome. Physical activity had an inverse association with IL-6 concentration among females. A direct relationship was observed between the measures of adiposity on IL-6, in both sexes. CONCLUSION Body composition was the main predictor for the outcome evaluated in males and females. Thus, the avoidance of overweight remains an important strategy for the prevention and control of cardiovascular risk and biomarkers associated with these diseases.
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Affiliation(s)
| | | | - Gicele Costa Mintem
- Post-graduate Program in Nutrition and Food, Federal University of Pelotas, Pelotas, Brazil
| | - Bernardo Lessa Horta
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Denise Petrucci Gigante
- Post-graduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.,Post-graduate Program in Nutrition and Food, Federal University of Pelotas, Pelotas, Brazil
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11
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Nielsen MB, Çolak Y, Benn M, Nordestgaard BG. Low Plasma Adiponectin in Risk of Type 2 Diabetes: Observational Analysis and One- and Two-Sample Mendelian Randomization Analyses in 756,219 Individuals. Diabetes 2021; 70:2694-2705. [PMID: 34426507 DOI: 10.2337/db21-0131] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 08/16/2021] [Indexed: 12/12/2022]
Abstract
We tested the hypothesis that low plasma adiponectin is associated observationally and causally with increased risk of type 2 diabetes. Observational analyses are prone to confounding and reverse causation, while genetic Mendelian randomization (MR) analyses are much less influenced by these biases. We examined 30,045 individuals from the Copenhagen General Population Study observationally (plasma adiponectin [1,751 individuals with type 2 diabetes]), 96,903 Copenhagen individuals using one-sample MR (5 genetic variants [5,012 individuals with type 2 diabetes]), and 659,316 Europeans (ADIPOGen, GERA, DIAGRAM, UK Biobank) using two-sample MR (10 genetic variants [62,892 individuals type 2 diabetes]). Observationally, and in comparisons with individuals with median plasma adiponectin of 28.9 μg/mL (4th quartile), multivariable adjusted hazard ratios (HRs) for type 2 diabetes were 1.42 (95% CI 1.18-1.72) for 19.2 μg/mL (3rd quartile), 2.21 (1.84-2.66) for 13.9 μg/mL (2nd quartile), and 4.05 (3.38-4.86) for 9.2 μg/mL (1st quartile). Corresponding cumulative incidence for type 2 diabetes at age 70 years was 3%, 7%, 11%, and 20%, respectively. A 1 μg/mL lower plasma adiponectin conferred an HR for type 2 diabetes of 1.07 (1.06-1.09), while genetic, causal risk ratio per 1 unit log-transformed lower plasma adiponectin was 1.13 (95% CI 0.83-1.53) in one-sample MR and 1.26 (1.01-1.57) in two-sample MR. In conclusion, low plasma adiponectin is associated with increased risk of type 2 diabetes, an association that could represent a causal relationship.
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Affiliation(s)
- Maria B Nielsen
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yunus Çolak
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Section of Respiratory Medicine, Department of Internal Medicine, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
| | - Marianne Benn
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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12
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Puchałowicz K, Kłoda K, Dziedziejko V, Rać M, Wojtarowicz A, Chlubek D, Safranow K. Association of Adiponectin, Leptin and Resistin Plasma Concentrations with Echocardiographic Parameters in Patients with Coronary Artery Disease. Diagnostics (Basel) 2021; 11:diagnostics11101774. [PMID: 34679472 PMCID: PMC8534895 DOI: 10.3390/diagnostics11101774] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 09/22/2021] [Indexed: 01/01/2023] Open
Abstract
The imbalanced network of adipokines may contribute to the development of systemic low-grade inflammation, metabolic diseases and coronary artery disease (CAD). In the last decade, three classic adipokines—adiponectin, leptin and resistin—have been of particular interest in studies of patients with CAD due to their numerous properties in relation to the cardiovascular system. This has directed our attention to the association of adipokines with cardiac structure and function and the development of heart failure (HF), a common end effect of CAD. Thus, the purpose of this study was to analyse the associations of plasma concentrations of adiponectin, leptin and resistin with parameters assessed in the echocardiographic examinations of CAD patients. The presented study enrolled 167 Caucasian patients (133 male; 34 female) with CAD. Anthropometric, echocardiographic and basic biochemical measurements, together with plasma concentrations of adiponectin, leptin and resistin assays, were performed in each patient. Adiponectin concentrations were negatively associated with left ventricular ejection fraction (LVEF) and shortening fraction (LVSF), and positively associated with mitral valve E/A ratio (E/A), left ventricular end-diastolic volume (LVEDV), left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter LVESD, and left atrium diameter (LAD). Resistin concentrations were negatively associated with E/A. Leptin concentrations, although correlated with HF severity assessed by the New York Heart Association (NYHA) Functional Classification, were not independently associated with the echocardiographic parameters of cardiac structure or function. In conclusion, adiponectin and resistin, but not leptin, are associated with the echocardiographic parameters of cardiac remodelling and dysfunction. These associations suggest that adiponectin and resistin might be involved in mechanisms of cardiac remodelling or compensative response. We also suggest the possible benefits of adiponectin and resistin level measurements in the monitoring of patients with CAD.
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Affiliation(s)
- Kamila Puchałowicz
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70111 Szczecin, Poland; (V.D.); (M.R.); (D.C.); (K.S.)
- Correspondence: ; Tel.: +48-91-4661515; Fax: +48-91-4661516
| | | | - Violetta Dziedziejko
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70111 Szczecin, Poland; (V.D.); (M.R.); (D.C.); (K.S.)
| | - Monika Rać
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70111 Szczecin, Poland; (V.D.); (M.R.); (D.C.); (K.S.)
| | - Andrzej Wojtarowicz
- Department of Cardiology, Pomeranian Medical University, 70111 Szczecin, Poland;
| | - Dariusz Chlubek
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70111 Szczecin, Poland; (V.D.); (M.R.); (D.C.); (K.S.)
| | - Krzysztof Safranow
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70111 Szczecin, Poland; (V.D.); (M.R.); (D.C.); (K.S.)
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13
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Paganoti CDF, da Costa RA, Oliveira AMDSS, Hoshida MS, Francisco RPV. Adiponectin does not improve the prediction of insulin need in pregnant women with gestational diabetes mellitus. ENDOCRINE AND METABOLIC SCIENCE 2021. [DOI: 10.1016/j.endmts.2021.100095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
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14
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Hartwig FP, Tilling K, Davey Smith G, Lawlor DA, Borges MC. Bias in two-sample Mendelian randomization when using heritable covariable-adjusted summary associations. Int J Epidemiol 2021; 50:1639-1650. [PMID: 33619569 PMCID: PMC8580279 DOI: 10.1093/ije/dyaa266] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Two-sample Mendelian randomization (MR) allows the use of freely accessible summary association results from genome-wide association studies (GWAS) to estimate causal effects of modifiable exposures on outcomes. Some GWAS adjust for heritable covariables in an attempt to estimate direct effects of genetic variants on the trait of interest. One, both or neither of the exposure GWAS and outcome GWAS may have been adjusted for covariables. METHODS We performed a simulation study comprising different scenarios that could motivate covariable adjustment in a GWAS and analysed real data to assess the influence of using covariable-adjusted summary association results in two-sample MR. RESULTS In the absence of residual confounding between exposure and covariable, between exposure and outcome, and between covariable and outcome, using covariable-adjusted summary associations for two-sample MR eliminated bias due to horizontal pleiotropy. However, covariable adjustment led to bias in the presence of residual confounding (especially between the covariable and the outcome), even in the absence of horizontal pleiotropy (when the genetic variants would be valid instruments without covariable adjustment). In an analysis using real data from the Genetic Investigation of ANthropometric Traits (GIANT) consortium and UK Biobank, the causal effect estimate of waist circumference on blood pressure changed direction upon adjustment of waist circumference for body mass index. CONCLUSIONS Our findings indicate that using covariable-adjusted summary associations in MR should generally be avoided. When that is not possible, careful consideration of the causal relationships underlying the data (including potentially unmeasured confounders) is required to direct sensitivity analyses and interpret results with appropriate caution.
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Affiliation(s)
- Fernando Pires Hartwig
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.,Medical Research Council Integrative Epidemiology Unit, at the University of Bristol, Bristol, UK
| | - Kate Tilling
- Medical Research Council Integrative Epidemiology Unit, at the University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, at the University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Deborah A Lawlor
- Medical Research Council Integrative Epidemiology Unit, at the University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Maria Carolina Borges
- Medical Research Council Integrative Epidemiology Unit, at the University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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15
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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: 1.8] [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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16
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Cameron AJ, Romaniuk H, Orellana L, Dallongeville J, Dobson AJ, Drygas W, Ferrario M, Ferrieres J, Giampaoli S, Gianfagna F, Iacoviello L, Jousilahti P, Kee F, Moitry M, Niiranen TJ, Pająk A, Palmieri L, Palosaari T, Satu M, Tamosiunas A, Thorand B, Toft U, Vanuzzo D, Veikko S, Veronesi G, Wilsgaard T, Kuulasmaa K, Söderberg S. Combined Influence of Waist and Hip Circumference on Risk of Death in a Large Cohort of European and Australian Adults. J Am Heart Assoc 2020; 9:e015189. [PMID: 32602397 PMCID: PMC7670538 DOI: 10.1161/jaha.119.015189] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Waist circumference and hip circumference are both strongly associated with risk of death; however, their joint association has rarely been investigated. Methods and Results The MONICA Risk, Genetics, Archiving, and Monograph (MORGAM) Project was conducted in 30 cohorts from 11 countries; 90 487 men and women, aged 30 to 74 years, predominantly white, with no history of cardiovascular disease, were recruited in 1986 to 2010 and followed up for up to 24 years. Hazard ratios were estimated using sex‐specific Cox models, stratified by cohort, with age as the time scale. Models included baseline categorical obesity measures, age, total and high‐density lipoprotein cholesterol, systolic blood pressure, antihypertensive drugs, smoking, and diabetes mellitus. A total of 9105 all‐cause deaths were recorded during a median follow‐up of 10 years. Hazard ratios for all‐cause death presented J‐ or U‐shaped associations with most obesity measures. With waist and hip circumference included in the same model, for all hip sizes, having a smaller waist was strongly associated with lower risk of death, except for men with the smallest hips. In addition, among those with smaller waists, hip size was strongly negatively associated with risk of death, with ≈20% more people identified as being at increased risk compared with waist circumference alone. Conclusions A more complex relationship between hip circumference, waist circumference, and risk of death is revealed when both measures are considered simultaneously. This is particularly true for individuals with smaller waists, where having larger hips was protective. Considering both waist and hip circumference in the clinical setting could help to best identify those at increased risk of death.
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Affiliation(s)
- Adrian J. Cameron
- Global Obesity CentreInstitute for Health TransformationDeakin UniversityGeelongAustralia
| | - Helena Romaniuk
- Biostatistics UnitFaculty of HealthDeakin UniversityGeelongAustralia
| | - Liliana Orellana
- Biostatistics UnitFaculty of HealthDeakin UniversityGeelongAustralia
| | - Jean Dallongeville
- Unité d’Epidémiologie et de Santé PubliqueInserm‐U1167Institut Pasteur de LilleLilleFrance
| | - Annette J. Dobson
- School of Public HealthUniversity of QueenslandHerstonQueenslandAustralia
| | - Wojciech Drygas
- Department of Epidemiology CVD Prevention and Health PromotionCardinal Wyszynski National Institute of CardiologyWarsawPoland
| | - Marco Ferrario
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive MedicineUniversity of InsubriaVareseItaly
| | - Jean Ferrieres
- Department of CardiologyToulouse University School of MedicineToulouseFrance
| | - Simona Giampaoli
- Department of CardiovascularEndocrine‐Metabolic Diseases and AgingIstituto Superiore di SanitàRomeItaly
| | - Francesco Gianfagna
- Mediterranea CardiocentroNapoliItaly
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive MedicineUniversity of InsubriaVareseItaly
- University of InsubriaVareseItaly
| | - Licia Iacoviello
- Department of Epidemiology and PreventionIstituto di Ricovero e Cura a Carattere Scientifico NeuromedPozzilliItaly
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive MedicineUniversity of InsubriaVareseItaly
- University of InsubriaVareseItaly
| | - Pekka Jousilahti
- Department of Public Health SolutionsFinnish Institute for Health and WelfareHelsinkiFinland
| | - Frank Kee
- Centre for Public HealthInstitute for Health SciencesQueen’s University, School of Medicine, Dentistry and Biomedical SciencesBelfastNorthern Ireland
| | - Marie Moitry
- Department of Public HealthUniversity Hospital of StrasbourgFrance
- Department of Epidemiology and Public HealthUniversity of StrasbourgFrance
| | - Teemu J. Niiranen
- Department of Public Health SolutionsFinnish Institute for Health and WelfareHelsinkiFinland
- Department of MedicineTurku University Hospital and University of TurkuTurkuFinland
| | - Andrzej Pająk
- Department of Epidemiology and Population StudiesJagiellonian University Medical CollegeKrakówPoland
| | - Luigi Palmieri
- Department of CardiovascularEndocrine‐Metabolic Diseases and AgingIstituto Superiore di SanitàRomeItaly
| | - Tarja Palosaari
- Department of Public Health SolutionsFinnish Institute for Health and WelfareHelsinkiFinland
| | - Männistö Satu
- Department of Public Health SolutionsFinnish Institute for Health and WelfareHelsinkiFinland
| | - Abdonas Tamosiunas
- Department of Population StudiesInstitute of CardiologyLithuanian University of Health SciencesKaunasLithuania
| | - Barbara Thorand
- German Research Center for Environmental HealthInstitute of EpidemiologyHelmholtz Zentrum MünchenNeuherbergGermany
| | - Ulla Toft
- Center for Clinical Research and PreventionBispebjerg and Frederiksberg HospitalCopenhagenDenmark
| | | | - Salomaa Veikko
- Department of Public Health SolutionsFinnish Institute for Health and WelfareHelsinkiFinland
| | - Giovanni Veronesi
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive MedicineUniversity of InsubriaVareseItaly
| | - Tom Wilsgaard
- Department of Community MedicineThe Arctic University of NorwayTromsøNorway
| | - Kari Kuulasmaa
- Department of Public Health SolutionsFinnish Institute for Health and WelfareHelsinkiFinland
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, and Heart CentreUmeå UniversityUmeåSweden
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17
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Varela-Rodríguez BM, Juiz-Valiña P, Varela L, Outeiriño-Blanco E, Bravo SB, García-Brao MJ, Mena E, Noguera JF, Valero-Gasalla J, Cordido F, Sangiao-Alvarellos S. Beneficial Effects of Bariatric Surgery-Induced by Weight Loss on the Proteome of Abdominal Subcutaneous Adipose Tissue. J Clin Med 2020; 9:jcm9010213. [PMID: 31941045 PMCID: PMC7019912 DOI: 10.3390/jcm9010213] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 12/20/2019] [Accepted: 01/08/2020] [Indexed: 12/16/2022] Open
Abstract
Bariatric surgery (BS) is the most effective treatment for obesity and has a positive impact on cardiometabolic risk and in the remission of type 2 diabetes. Following BS, the majority of fat mass is lost from the subcutaneous adipose tissue depot (SAT). However, the changes in this depot and functions and as well as its relative contribution to the beneficial effects of this surgery are still controversial. With the aim of studying altered proteins and molecular pathways in abdominal SAT (aSAT) after body weight normalization induced by BS, we carried out a proteomic approach sequential window acquisition of all theoretical mass spectra (SWATH-MS) analysis. These results were complemented by Western blot, electron microscopy and RT-qPCR. With all of the working tools mentioned, we confirmed that after BS, up-regulated proteins were associated with metabolism, the citric acid cycle and respiratory electron transport, triglyceride catabolism and metabolism, formation of ATP, pyruvate metabolism, glycolysis/gluconeogenesis and thermogenesis among others. In contrast, proteins with decreased values are part of the biological pathways related to the immune system. We also confirmed that obesity caused a significant decrease in mitochondrial density and coverage, which was corrected by BS. Together, these findings reveal specific molecular mechanisms, genes and proteins that improve adipose tissue function after BS characterized by lower inflammation, increased glucose uptake, higher insulin sensitivity, higher de novo lipogenesis, increased mitochondrial function and decreased adipocyte size.
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Affiliation(s)
- Bárbara María Varela-Rodríguez
- Endocrine, Nutritional and Metabolic Diseases Group, Faculty of Health Sciences, Universidade da Coruña, Campus de Oza, 15006 A Coruña, Spain; (B.M.V.-R.); (P.J.-V.); (F.C.)
- INIBIC (Instituto de Investigación Biomédica de A Coruña), Xubias de Arriba, 84. 15006 A Coruña, Spain
- CICA (Centro de Investigaciones Científicas Avanzadas), As Carballeiras, s/n Campus de, San Vicente de Elviña, 15008 A Coruña, Spain
| | - Paula Juiz-Valiña
- Endocrine, Nutritional and Metabolic Diseases Group, Faculty of Health Sciences, Universidade da Coruña, Campus de Oza, 15006 A Coruña, Spain; (B.M.V.-R.); (P.J.-V.); (F.C.)
- INIBIC (Instituto de Investigación Biomédica de A Coruña), Xubias de Arriba, 84. 15006 A Coruña, Spain
- CICA (Centro de Investigaciones Científicas Avanzadas), As Carballeiras, s/n Campus de, San Vicente de Elviña, 15008 A Coruña, Spain
| | - Luis Varela
- Program in Integrative Cell Signaling and Neurobiology of Metabolism, Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT 06520, USA;
| | - Elena Outeiriño-Blanco
- Department of Endocrinology, Hospital Universitario A Coruña, A Coruña, 15006 A Coruña, Spain;
| | - Susana Belén Bravo
- Proteomic Unit, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, 15705 A Coruña, Spain;
| | - María Jesús García-Brao
- Department of Digestive and General Surgery, Hospital Universitario A Coruña, 15006 A Coruña, Spain; (M.J.G.-B.); (E.M.); (J.F.N.)
| | - Enrique Mena
- Department of Digestive and General Surgery, Hospital Universitario A Coruña, 15006 A Coruña, Spain; (M.J.G.-B.); (E.M.); (J.F.N.)
| | - José Francisco Noguera
- Department of Digestive and General Surgery, Hospital Universitario A Coruña, 15006 A Coruña, Spain; (M.J.G.-B.); (E.M.); (J.F.N.)
| | - Javier Valero-Gasalla
- Department of Plastic, Reconstructive & Aesthetic Surgery. Hospital Universitario A Coruña, 15006 A Coruña, Spain;
| | - Fernando Cordido
- Endocrine, Nutritional and Metabolic Diseases Group, Faculty of Health Sciences, Universidade da Coruña, Campus de Oza, 15006 A Coruña, Spain; (B.M.V.-R.); (P.J.-V.); (F.C.)
- INIBIC (Instituto de Investigación Biomédica de A Coruña), Xubias de Arriba, 84. 15006 A Coruña, Spain
- CICA (Centro de Investigaciones Científicas Avanzadas), As Carballeiras, s/n Campus de, San Vicente de Elviña, 15008 A Coruña, Spain
- Department of Endocrinology, Hospital Universitario A Coruña, A Coruña, 15006 A Coruña, Spain;
| | - Susana Sangiao-Alvarellos
- Endocrine, Nutritional and Metabolic Diseases Group, Faculty of Health Sciences, Universidade da Coruña, Campus de Oza, 15006 A Coruña, Spain; (B.M.V.-R.); (P.J.-V.); (F.C.)
- INIBIC (Instituto de Investigación Biomédica de A Coruña), Xubias de Arriba, 84. 15006 A Coruña, Spain
- CICA (Centro de Investigaciones Científicas Avanzadas), As Carballeiras, s/n Campus de, San Vicente de Elviña, 15008 A Coruña, Spain
- Correspondence:
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18
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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: 4.3] [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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19
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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: 2.0] [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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Xu S, Jiang J, Zhang Y, Chen T, Zhu M, Fang C, Mi Y. Discovery of potential plasma protein biomarkers for acute myocardial infarction via proteomics. J Thorac Dis 2019; 11:3962-3972. [PMID: 31656670 DOI: 10.21037/jtd.2019.08.100] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Background Acute myocardial infarction (AMI) is an acute disease with high mortality and seriously threatens human health. The identification of new effective biological markers for AMI is a prerequisite for treatment. Most proteomic studies have focused on atherosclerotic plaques, vascular cells, monocytes and platelets in the blood; however, the concentration of these factors in plasma is low, making it difficult to measure the complexity of plasma components. Moreover, some studies have examined the plasma protein of patients with acute coronary syndrome with histochemistry; however, the results are not consistent. Therefore, it is necessary to further investigate the differential proteins in the plasma of patients with AMI via proteomics to identify new biomarkers of AMI. Methods In this study, immunodepletion of high-abundance plasma proteins followed by an isobaric tagging for relative and absolute quantitation (iTRAQ)-based quantitative proteomic approach was used to analyze plasma samples from 5 control individuals and 10 AMI patients. Results Four hundred sixty-eight proteins were identified from two samples, and 33 proteins were differentially expressed in AMI patients compared to the controls. Among the 33 proteins, 12 proteins showed a ≥1.5-fold change between AMI and control samples. These proteins included fatty acid binding protein 3 (FABP3, ratio =6.36), creatine kinase-MB (CK-MB ratio =4.89), adenylate kinase1 (AK1 ratio =4.16), pro-platelet basic protein (PPBP ratio =3.29), creatine kinase (CK ratio =2.88), platelet factor 4 (PF4 ratio =2.62), peptidyl prolyl isomerase Cyclophilin A (PPIA ratio =2.05), Cofilin-1 (CFL1 ratio =1.81), coronin1A (CORO1A ratio =1.71), protein kinase M (PKM ratio =1.63), ribonuclease inhibitor (RNH1, ratio =1.67), and triose phosphate isomerase (TPI1 ratio =1.56). By contrast, there was a decrease of 19 proteins, such as adiponectin (ADIPOQ ratio =0.70), insulin-like growth factor binding protein6 (IGFBP6 ratio =0.70), Dickkopf-related protein 3 (DKK3 ratio =0.70) and complement 4B (C4B ratio =0.68). The most over-represented term was regulation of cell proliferation in the cellular component category of Gene Ontology (GO). The top 3 biological process terms were regulation of cell proliferation, response to wounding and wound healing. These proteins included immune proteins, blood coagulation proteins, lipid metabolism proteins, cytoskeleton proteins, energy metabolism proteins, gene regulation proteins, myocutaneous proteins, and myocardial remodeling proteins and were highly connected with each other, which indicates that the functional network of these processes contribute to the pathophysiology of AMI. Conclusions In conclusion, the present quantitative proteomic study identified novel AMI biomarker candidates and might provide fundamental information for the development of an AMI biomarker.
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Affiliation(s)
- Shasha Xu
- Department of Cardiology, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China.,Laboratory of Cardiovascular Disease, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China
| | - Jianjun Jiang
- Department of Cardiology, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China.,Laboratory of Cardiovascular Disease, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China
| | - Yang Zhang
- Department of Cardiology, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China.,Laboratory of Cardiovascular Disease, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China
| | - Tingting Chen
- Department of Cardiology, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China.,Laboratory of Cardiovascular Disease, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China
| | - Min Zhu
- Enze Medical Research Center, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China
| | - Chongfeng Fang
- Department of Cardiology, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China.,Laboratory of Cardiovascular Disease, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China
| | - Yafei Mi
- Department of Cardiology, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China.,Laboratory of Cardiovascular Disease, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China.,Enze Medical Research Center, Affiliated Taizhou Hospital of Wenzhou Medical University, Taizhou 317000, China
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21
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Au Yeung SL, Schooling CM. Adiponectin and coronary artery disease risk: A bi-directional Mendelian randomization study. Int J Cardiol 2018; 268:222-226. [DOI: 10.1016/j.ijcard.2018.03.132] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 03/01/2018] [Accepted: 03/28/2018] [Indexed: 02/04/2023]
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Attenuation of Metabolic Syndrome by EPA/DHA Ethyl Esters in Testosterone-Deficient Obese Rats. Mar Drugs 2018; 16:md16060182. [PMID: 29794984 PMCID: PMC6024942 DOI: 10.3390/md16060182] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2018] [Revised: 05/12/2018] [Accepted: 05/22/2018] [Indexed: 12/21/2022] Open
Abstract
Inducing testosterone deficiency, as the standard treatment of prostate cancer, may cause metabolic disorders including insulin resistance, dyslipidemia, central obesity, cardiovascular diseases, and type 2 diabetes. This study measured responses to testosterone deficiency in high-carbohydrate, high-fat (H) diet-fed rats. We then tested whether eicosapentaenoic acid (EPA)/docosahexaenoic acid (DHA) ethyl esters (Omacor) reversed these metabolic changes. Male Wistar rats (8–9 weeks old) were divided into eight groups with four groups fed corn starch and four groups fed H diet. For each diet, one group received diet only; one group was orchidectomized; one group was given leuprolide (gonadotrophin-releasing hormone agonist, 2 mg/kg every 4th week); and the last group was treated with leuprolide and their diet was supplemented with 3% Omacor for the last eight weeks. The protocol was for 16 weeks. Leuprolide worsened metabolic syndrome symptoms and cardiovascular function, and orchidectomy produced greater responses. In H fed leuprolide-treated rats, Omacor decreased systolic blood pressure and left ventricular diastolic stiffness, reduced infiltration of inflammatory cells and collagen deposition in the heart, and reduced lipid accumulation and inflammatory cell infiltration without improving liver damage. These results suggest that Omacor has potential to attenuate metabolic complications in prostate cancer patients with induced testosterone deprivation.
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23
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Borges MC, Barros AJD, Ferreira DLS, Casas JP, Horta BL, Kivimaki M, Kumari M, Menon U, Gaunt TR, Ben-Shlomo Y, Freitas DF, Oliveira IO, Gentry-Maharaj A, Fourkala E, Lawlor DA, Hingorani AD. Metabolic Profiling of Adiponectin Levels in Adults: Mendelian Randomization Analysis. CIRCULATION. CARDIOVASCULAR GENETICS 2017; 10:e001837. [PMID: 29237687 PMCID: PMC5736126 DOI: 10.1161/circgenetics.117.001837] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 09/13/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Adiponectin, a circulating adipocyte-derived protein, has insulin-sensitizing, anti-inflammatory, antiatherogenic, and cardiomyocyte-protective properties in animal models. However, the systemic effects of adiponectin in humans are unknown. Our aims were to define the metabolic profile associated with higher blood adiponectin concentration and investigate whether variation in adiponectin concentration affects the systemic metabolic profile. METHODS AND RESULTS We applied multivariable regression in ≤5909 adults and Mendelian randomization (using cis-acting genetic variants in the vicinity of the adiponectin gene as instrumental variables) for analyzing the causal effect of adiponectin in the metabolic profile of ≤37 545 adults. Participants were largely European from 6 longitudinal studies and 1 genome-wide association consortium. In the multivariable regression analyses, higher circulating adiponectin was associated with higher high-density lipoprotein lipids and lower very-low-density lipoprotein lipids, glucose levels, branched-chain amino acids, and inflammatory markers. However, these findings were not supported by Mendelian randomization analyses for most metabolites. Findings were consistent between sexes and after excluding high-risk groups (defined by age and occurrence of previous cardiovascular event) and 1 study with admixed population. CONCLUSIONS Our findings indicate that blood adiponectin concentration is more likely to be an epiphenomenon in the context of metabolic disease than a key determinant.
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Affiliation(s)
- Maria Carolina Borges
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.).
| | - Aluísio J D Barros
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Diana L Santos Ferreira
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Juan Pablo Casas
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Bernardo Lessa Horta
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Mika Kivimaki
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Meena Kumari
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Usha Menon
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Tom R Gaunt
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Yoav Ben-Shlomo
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Deise F Freitas
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Isabel O Oliveira
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Aleksandra Gentry-Maharaj
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Evangelia Fourkala
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Debbie A Lawlor
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
| | - Aroon D Hingorani
- From the Post-Graduate Program in Epidemiology, Federal University of Pelotas, Brazil (M.C.B., A.J.D.B., B.L.H., D.F.F., I.O.O.); MRC Integrative Epidemiology Unit (M.C.B., D.L.S.F., T.R.G., D.A.L.) and Population Health Sciences, Bristol Medical School (M.C.B., D.L.S.F., T.R.G., Y.B.-S., D.A.L.), University of Bristol, United Kingdom; Farr Institute of Health Informatics (J.P.C., A.D.H.), Department of Epidemiology and Public Health (M. Kivimaki, M. Kumari), Department of Women's Cancer, Institute for Women's Health, Faculty of Population Health Sciences (U.M., A.G.-M., E.F.), and Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom; Institute for Social and Economic Research, University of Essex, United Kingdom (M. Kumari); and Department of Physiology and Pharmacology, Institute of Biology, Federal University of Pelotas, Brazil (I.O.O.)
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Han SJ, Boyko EJ, Fujimoto WY, Kahn SE, Leonetti DL. Low Plasma Adiponectin Concentrations Predict Increases in Visceral Adiposity and Insulin Resistance. J Clin Endocrinol Metab 2017; 102:4626-4633. [PMID: 29029184 PMCID: PMC5718705 DOI: 10.1210/jc.2017-01703] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 09/20/2017] [Indexed: 12/01/2022]
Abstract
CONTEXT Plasma adiponectin concentration has been shown to be inversely associated with body mass index (BMI) and insulin resistance in cross-sectional research. However, it is unclear whether adiponectin predicts future body composition and insulin resistance. OBJECTIVE We aimed to investigate the potential relationship between adiponectin concentration and future regional body fat distribution and insulin resistance. DESIGN AND SETTING This was a community-based prospective cohort study with 5 years of follow-up. PARTICIPANTS A total of 218 Japanese Americans without diabetes (79 men, 139 women, mean age 51.7 ± 10.1 years) were assessed at baseline and after 5 years of follow-up. MAIN OUTCOME MEASURES Abdominal visceral and subcutaneous fat area and thigh subcutaneous fat area were measured by computed tomography (CT). Insulin resistance was evaluated by homeostasis model assessment 2 of insulin resistance (HOMA2-IR). Plasma total adiponectin was measured by radioimmunoassay. RESULTS Baseline adiponectin was inversely associated with abdominal visceral fat area (P = 0.037) and HOMA2-IR (P = 0.002) at 5 years in a multiple linear regression model after adjustment for baseline traits (including age, sex, BMI, abdominal visceral fat area, abdominal subcutaneous fat area, thigh subcutaneous fat area, HOMA2-IR) and weight change. However, no association was seen between baseline adiponectin concentration and BMI or other CT-measured regional fat depots at 5 years. CONCLUSIONS Low plasma adiponectin concentration independently predicted future abdominal visceral fat accumulation and increased insulin resistance in Japanese Americans.
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Affiliation(s)
- Seung Jin Han
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea 16499
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, Washington 98108
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington 98195
| | - Edward J. Boyko
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, Washington 98108
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington 98195
| | - Wilfred Y. Fujimoto
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington 98195
| | - Steven E. Kahn
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington 98195
- Hospital and Specialty Medicine Service, VA Puget Sound Health Care System, Seattle, Washington 98108
| | - Donna L. Leonetti
- Department of Anthropology, University of Washington, Seattle, Washington 98105
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