1
|
Haixia L, Lee JH, Oh S, Seo E, Ha MS. Body composition affects blood lipids and vascular function in metabolically unhealthy or metabolically healthy older adult women with obesity: A multi-group path analysis/impact verification following latent profile analysis. Am J Hum Biol 2023; 35:e23962. [PMID: 37489847 DOI: 10.1002/ajhb.23962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/01/2023] [Accepted: 07/04/2023] [Indexed: 07/26/2023] Open
Abstract
OBJECTIVES This study aimed to perform latent profile analysis (LPA) in older adult women with metabolic syndrome to extract a group according to their characteristics while controlling for body composition, blood lipid levels, and vascular function. The study also examined the relationship between different variables. METHODS The participants were 35 women aged ≥65 years, who met the Korean female standards for metabolic syndrome. Blood collection, blood pressure measurements, and vascular function measurements were performed. LPA and multigroup path analysis (MGPA) were performed to statistically analyze the effects of body composition on blood lipid levels and vascular function in older adult women with metabolic syndrome. Mplus 8.3 and jamovi 2.0.0 were used for the analyses, and the control significance level was set at .05. RESULTS The participants were divided into the following three groups: (G1) metabolically unhealthy participants with normal weight, (G2) normal-weight participants with arteriosclerosis, and (G3) obese but metabolically healthy participants (G3). The effect of body composition on blood lipid levels showed a significant difference only in G1. The effect of body composition on vascular function was influenced by various variables in G1 and G3, while G1 showed a higher explanatory power. CONCLUSIONS The MGPA results showed that the relationship between variables differs depending on the group. Therefore, the metabolic syndrome should be studied by subdividing it and confirming the characteristics of the classified groups, such as normal-weight but metabolically unhealthy individuals and obese but metabolically healthy individuals.
Collapse
Affiliation(s)
- Li Haixia
- College of Winter Olympics, Harbin Institute of Physical Education, Harbin, China
| | - Jae-Hoon Lee
- Department of Sports Science, College of the Arts and Sports, University of Seoul, Seoul, Republic of Korea
| | - SiYeon Oh
- College of Art and Physical Education, Chosun University, Gwangju, Republic of Korea
| | - EunChul Seo
- Department of Physical Education, Wonkwang University, lksan, Republic of Korea
| | - Min-Seong Ha
- Department of Sports Science, College of the Arts and Sports, University of Seoul, Seoul, Republic of Korea
| |
Collapse
|
2
|
Long-Term Parallel Changes of Physical Activity and Body Mass Index in Different Predisposing Risk Trajectories of Obesity. J Phys Act Health 2022; 19:339-350. [PMID: 35349978 DOI: 10.1123/jpah.2021-0305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 12/28/2021] [Accepted: 02/14/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND The long-term parallel changes of physical activity and body mass index (BMI) in the adult population are still unclear. The present study assessed the association between physical activity and BMI over time, considering obesity risk trajectory groups and sex strata. METHODS Total sample of 6897 adults was followed for an average of 12 years. The reliable and validated Iranian version of the Modifiable Activity Questionnaire measured physical activity. After determining the risk clusters in each reexamination using a 2-step cluster analysis, the latent growth curve modeling was used to identify distinct subgroups of individuals following a similar change of risk cluster over time. Latent growth curve modeling estimated the parameters of cross-sectional, prospective, and parallel associations. RESULTS Three trajectories were identified, including stable low risk, unstable risk, and stable high risk. The results showed significant increases in BMI (kg/m2/year) for the stable low-risk trajectory group 0.478 (95% confidence interval [CI] 0.444 to 0.513), unstable risk 0.360 (95% CI, 0.324 to 0.396), and those in the stable high-risk trajectory group 0.255 (95% CI, 0.221 to 0.289). In cross-sectional -0.483 kg/m2 (95% CI, -0.836 to -0.129) and parallel -0.93 kg/m2 (95% CI, -1.862 to 0.00) estimations, significant statistical associations were observed in the stable high-risk trajectory group. CONCLUSIONS The current results showed that changes in physical activity could slightly affect BMI only in stable high-risk adults.
Collapse
|
3
|
Mun S, Park K, Lee S. Evaluation of thermal sensitivity is of potential clinical utility for the predictive, preventive, and personalized approach advancing metabolic syndrome management. EPMA J 2022; 13:125-135. [PMID: 35265229 PMCID: PMC8897525 DOI: 10.1007/s13167-022-00273-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/23/2022] [Indexed: 01/28/2023]
Abstract
A possible association between metabolic disorders and ambient temperature has been suggested, and cold exposure as a way of increasing energy expenditure has gained considerable interest for preventative/therapeutic measures toward metabolic disorders. Although thermal sensitivity, which has recently been studied in regard to its utility as a risk assessment/patient stratification for various diseases, might influence physiological responses to ambient temperature on an individual basis, more studies are needed. We aimed to investigate the association between self-identified thermal intolerance/sensation and metabolic syndrome (MetS) to verify the working hypothesis that individuals with altered thermal sensitivity may have a predisposition to MetS. We fitted generalized additive models for thermal intolerance/sensation using body mass index (BMI) and waist–hip ratio in women, and identified those with higher/lower thermal intolerance/sensation than those predicted by the models. Higher heat intolerance, higher heat sensation, and lower cold intolerance were associated with a higher prevalence of MetS. The risk of having MetS was increased in those who had two or three associated conditions compared with those with none of these conditions. In an analysis for MetS components, significant associations of thermal sensitivity were present with high glucose, triglyceride, and blood pressure levels. Overall, higher heat intolerance/sensation and lower cold intolerance were associated with increased prevalence of MetS even at a similar level of obesity. Our study indicates that evaluation of thermal sensitivity may help identify individuals at high risk for MetS, and lead to more advanced patient stratification and personalized treatment strategies for MetS, including cold-induced thermogenesis.
Collapse
|
4
|
Nguyen SN, Tran VD, Mai Le TT, Nga HT, Thi Thi Tho N. High prevalence of metabolic syndrome among overweight adults in Vietnam based on different criteria: Results from a community-based study. CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH 2021. [DOI: 10.1016/j.cegh.2021.100852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
|
5
|
Wang HH, Lee DK, Liu M, Portincasa P, Wang DQH. Novel Insights into the Pathogenesis and Management of the Metabolic Syndrome. Pediatr Gastroenterol Hepatol Nutr 2020; 23:189-230. [PMID: 32483543 PMCID: PMC7231748 DOI: 10.5223/pghn.2020.23.3.189] [Citation(s) in RCA: 116] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 04/17/2020] [Accepted: 04/21/2020] [Indexed: 02/06/2023] Open
Abstract
The metabolic syndrome, by definition, is not a disease but is a clustering of individual metabolic risk factors including abdominal obesity, hyperglycemia, hypertriglyceridemia, hypertension, and low high-density lipoprotein cholesterol levels. These risk factors could dramatically increase the prevalence of type 2 diabetes and cardiovascular disease. The reported prevalence of the metabolic syndrome varies, greatly depending on the definition used, gender, age, socioeconomic status, and the ethnic background of study cohorts. Clinical and epidemiological studies have clearly demonstrated that the metabolic syndrome starts with central obesity. Because the prevalence of obesity has doubly increased worldwide over the past 30 years, the prevalence of the metabolic syndrome has markedly boosted in parallel. Therefore, obesity has been recognized as the leading cause for the metabolic syndrome since it is strongly associated with all metabolic risk factors. High prevalence of the metabolic syndrome is not unique to the USA and Europe and it is also increasing in most Asian countries. Insulin resistance has elucidated most, if not all, of the pathophysiology of the metabolic syndrome because it contributes to hyperglycemia. Furthermore, a major contributor to the development of insulin resistance is an overabundance of circulating fatty acids. Plasma fatty acids are derived mainly from the triglycerides stored in adipose tissues, which are released through the action of the cyclic AMP-dependent enzyme, hormone sensitive lipase. This review summarizes the latest concepts in the definition, pathogenesis, pathophysiology, and diagnosis of the metabolic syndrome, as well as its preventive measures and therapeutic strategies in children and adolescents.
Collapse
Affiliation(s)
- Helen H. Wang
- Department of Medicine and Genetics, Division of Gastroenterology and Liver Diseases, Marion Bessin Liver Research Center, Einstein-Mount Sinai Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Dong Ki Lee
- Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Min Liu
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Piero Portincasa
- Department of Biomedical Sciences and Human Oncology, Clinica Medica "A. Murri", University of Bari Medical School, Bari, Italy
| | - David Q.-H. Wang
- Department of Medicine and Genetics, Division of Gastroenterology and Liver Diseases, Marion Bessin Liver Research Center, Einstein-Mount Sinai Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| |
Collapse
|
6
|
Fonseca NKDOD, Molle RD, Costa MDA, Gonçalves FG, Silva AC, Rodrigues Y, Price M, Silveira PP, Manfro GG. Impulsivity influences food intake in women with generalized anxiety disorder. ACTA ACUST UNITED AC 2020; 42:382-388. [PMID: 32074229 PMCID: PMC7430399 DOI: 10.1590/1516-4446-2019-0556] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 11/04/2019] [Indexed: 01/11/2023]
Abstract
Objective: Eating behavior is affected by psychological and neurocognitive factors. However, little is known about this relationship in anxious patients. Our aim was to investigate the associations between impulsivity, inhibitory control, energy-dense food consumption, and body mass index (BMI) in women with generalized anxiety disorder (GAD). Methods: In this cross-sectional study, 51 adult females with GAD answered the Barratt Impulsiveness Scale (BIS-11) and participated in a go/no-go task using food images. Anthropometric measurements were evaluated. A food frequency questionnaire and a snack test were used to study eating behavior. Pearson correlation and multiple linear regression were performed to analyze the variables of interest, adjusted by age. Results: Impulsivity predicted intake of sugar (p = 0.016, 95%CI 0.67-6.05), total fat (p = 0.007, 95%CI 0.62-3.71), and saturated fat (p = 0.004, 95%CI 0.30-1.48). The snack test showed a positive correlation between presence of impulsivity and intake of biscuits (R = 0.296; p = 0.051). Response inhibition to food images in the go/no-go task paradigm did not predict BMI or food intake. Conclusion: Impulsivity was predictive of higher sugar and saturated fat intake in women diagnosed with GAD. Our findings add to the literature regarding the association between neuropsychological factors and food consumption in this specific population.
Collapse
Affiliation(s)
- Natasha Kim de O da Fonseca
- Programa de Pós-Graduação em Neurociências, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Roberta D Molle
- Programa de Pós-Graduação em Saúde da Criança e do Adolescente, UFRGS, Porto Alegre, RS, Brazil
| | - Marianna de A Costa
- Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, UFRGS, Porto Alegre, RS, Brazil
| | - Francine G Gonçalves
- Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, UFRGS, Porto Alegre, RS, Brazil
| | - Alice C Silva
- Graduação em Nutrição, UFRGS, Porto Alegre, RS, Brazil
| | | | - Menna Price
- Department of Psychology, Swansea University, Swansea, Wales, UK
| | - Patrícia P Silveira
- Department of Psychiatry and Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Quebec, Canada
| | - Gisele G Manfro
- Programa de Pós-Graduação em Neurociências, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| |
Collapse
|
7
|
Amirfaiz S, Shahril MR. Objectively Measured Physical Activity, Sedentary Behavior, and Metabolic Syndrome in Adults: Systematic Review of Observational Evidence. Metab Syndr Relat Disord 2019; 17:1-21. [DOI: 10.1089/met.2018.0032] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Affiliation(s)
- Syed Amirfaiz
- School of Nutrition and Dietetics, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Terengganu, Malaysia
| | - Mohd Razif Shahril
- School of Nutrition and Dietetics, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Terengganu, Malaysia
| |
Collapse
|
8
|
Niazi E, Saraei M, Aminian O, Izadi N. Frequency of metabolic syndrome and its associated factors in health care workers. Diabetes Metab Syndr 2019; 13:338-342. [PMID: 30641722 DOI: 10.1016/j.dsx.2018.10.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 10/09/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND In recent decades, metabolic syndrome is one of the most important public health risk factors. Having this in mind, the present study was conducted to evaluate the frequency of metabolic syndrome and its associated risk factors in healthcare workers. METHOD This study is a cross-sectional study conducted on 410 healthcare workers in a teaching hospital in Iran. Demographic, occupational, and psychosocial characteristics were assessed using questionnaire. Assessment of metabolic syndrome of hospital staff was performed at workplace during their medical examination. RESULTS The frequency of metabolic syndrome was found to be 22.4%. This relationship was found among blood pressure and occupational stress, despite the fact that there was no significant relationship between metabolic syndrome and occupational stress. Higher age, having shift work, and inactivity were associated with metabolic syndrome. CONCLUSION Considering the high frequency of metabolic syndrome among Iranian healthcare workers, it is advised that effective management should be employed to correct the occupational and psychosocial factors associated with this syndrome.
Collapse
Affiliation(s)
- Elnaz Niazi
- Center for Research on Occupational Disease, Tehran University of Medical Sciences, Tehran, Iran.
| | - Maryam Saraei
- Center for Research on Occupational Disease, Tehran University of Medical Sciences, Tehran, Iran.
| | - Omid Aminian
- Center for Research on Occupational Disease, Tehran University of Medical Sciences, Tehran, Iran.
| | - Nazanin Izadi
- Center for Research on Occupational Disease, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
9
|
A retrospective study on association between obesity and cardiovascular risk diseases with aging in Chinese adults. Sci Rep 2018; 8:5806. [PMID: 29643416 PMCID: PMC5895579 DOI: 10.1038/s41598-018-24161-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 03/26/2018] [Indexed: 01/14/2023] Open
Abstract
This study aimed to investigate the prevalence of overweight and obesity and its relationship with cardiovascular risk diseases among different sex and age groups in an urban Chinese adult population. A retrospective analysis was performed on 384,061 Chinese adults aged 20 years and older in Nanjing. The age-standardized prevalence of overweight and obesity was 42.8% and 13.2% in men and 23.9% and 6.6% in women. A gradually increasing trend was observed in the prevalence of overweight and obesity from 2008 to 2016, especially in individuals aged 20~39 years. Overweight and obesity were significantly associated with increased risks of dyslipidemia, diabetes mellitus, hypertension, and hyperuricemia. Age weakened such relationship for both genders, which spiked in individuals aged 20~39 years. For men and women aged 20~39 years, the OR (95% CI) of obesity reached 4.23 (4.01–4.47) and 5.29 (4.63–6.04) for dyslipidemia, 3.70 (2.97–4.60) and 6.38 (3.86–10.55) for diabetes mellitus, 6.19 (5.76–6.64) and 9.36 (7.86–11.13) for hypertension, and 3.66 (3.45–3.88) and 6.65 (5.70–7.74) for hyperuricemia, respectively. The increasing trend in the epidemic of overweight and obesity is a risk factor for cardiovascular risk diseases in Chinese adults, especially in individuals aged 20~39 years.
Collapse
|
10
|
Lin CY, Huang T, Zhao L, Zhong LLD, Lam WC, Fan BM, Bian ZX. Circulating Spexin Levels Negatively Correlate With Age, BMI, Fasting Glucose, and Triglycerides in Healthy Adult Women. J Endocr Soc 2018; 2:409-419. [PMID: 29687092 PMCID: PMC5905385 DOI: 10.1210/js.2018-00020] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 03/29/2018] [Indexed: 12/15/2022] Open
Abstract
Context Spexin is a newly identified neuropeptide that is involved in satiety control, glucose, and lipids metabolism. It has also been related to human diseases, such as obesity and type 2 diabetes. However, whether spexin changes with age or not is still unclear. Objective The aim of this study is to investigate the relationship between circulating spexin levels and age and to study their interaction effects on body mass index (BMI), fasting glucose, and -lipids. Design and Participants This is a cross-sectional study, including 68 healthy adult women whose ages are in a wide range (minimum: 23; median: 38.5; maximum: 64). Outcome Measures The serum spexin levels were measured by an enzyme-linked immunosorbent assay. Fasting glucose, total cholesterol, triglycerides (TG), alkaline phosphatase, alanine aminotransferase, aspartate aminotransferase, urea, and creatinine were measured by routine biochemical test. Shapiro-Wilk’s test, Spearman and Pearson correlation analyses, χ2 test, and two-way analysis of variance were used to interpret the data. Results Serum spexin levels are significantly correlated with age (Spearman r = −0.277, P = 0.022), BMI (Spearman r = −0.445, P < 0.001), fasting glucose (Spearman r = −0.302, P = 0.014), and TG (Spearman r = −0.324, P = 0.008). Spexin levels independently predict the risk of high BMI and high fasting glucose. No interaction effects of spexin and age on BMI and fasting glucose were found. Conclusions Circulating spexin levels decrease with age, suggesting a possible role of this peptide in aging-related functions and disorders. Further investigations are needed to expand the clinical significance of this finding.
Collapse
Affiliation(s)
- Cheng-Yuan Lin
- Institute of Brain and Gut Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong Special Administrative Region, China.,Hong Kong Chinese Medicine Clinical Study Centre, Hong Kong Baptist University, Hong Kong Special Administrative Region, China.,Yunnan Minzu University-Hong Kong Baptist University Joint Laboratory of Traditional Natural Medicine, Yunnan Minzu University, Kunming, China
| | - Tao Huang
- Institute of Brain and Gut Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong Special Administrative Region, China.,Hong Kong Chinese Medicine Clinical Study Centre, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Ling Zhao
- Institute of Brain and Gut Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong Special Administrative Region, China.,Hong Kong Chinese Medicine Clinical Study Centre, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Linda L D Zhong
- Institute of Brain and Gut Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong Special Administrative Region, China.,Hong Kong Chinese Medicine Clinical Study Centre, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Wai Ching Lam
- Institute of Brain and Gut Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong Special Administrative Region, China.,Hong Kong Chinese Medicine Clinical Study Centre, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Bao-Min Fan
- Yunnan Minzu University-Hong Kong Baptist University Joint Laboratory of Traditional Natural Medicine, Yunnan Minzu University, Kunming, China
| | - Zhao-Xiang Bian
- Institute of Brain and Gut Research, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong Special Administrative Region, China.,Hong Kong Chinese Medicine Clinical Study Centre, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| |
Collapse
|
11
|
Chinawale CG, Parmar DV, Kavathia P, Rangnani T, Thakkar J, Kartha G. Metabolic Syndrome among Adults of Surendranagar District of Saurashtra, Gujarat: A Cross-Sectional Study. Indian J Community Med 2018. [PMID: 29531434 PMCID: PMC5842469 DOI: 10.4103/ijcm.ijcm_339_16] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background: The metabolic syndrome (MetS) is a complex disorder and a major health concern in developing countries. Data on MetS in Indian population show multiplicity. There are no published reports about the prevalence of MetS in population of Saurashtra region, Gujarat. The aim of this study is to assess the prevalence of MetS and its components in adult population of this region. Methods: This cross-sectional observational study was carried out among 473 participants who attended free health checkup camps. Demographics, personal details along with anthropometric, clinical, and biochemical data were recorded. The MetS was diagnosed as per the definition provided by Joint Interim Statement 2009. Results: The overall prevalence of MetS among studied population was found to be 41.01% (females 44.21% and males 37.91%). Abdominal obesity (66.38%), low high-density lipoprotein-cholesterol (64.69%), and high blood pressure (40.59%) appeared as the most prevalent components. MetS showed a significant association with age, body mass index, total cholesterol, habit of chewing tobacco, and history of hypertension and hyperglycemia. Conclusion: The high prevalence of MetS shows that population of Saurashtra is at an increased risk of cardiovascular disease (CVD) and diabetes. This highlights the need for extensive diabetes and CVD prevention and control program in this region.
Collapse
Affiliation(s)
| | - Dipak V Parmar
- Department of Biochemistry, M&N Virani Science College, Rajkot, Gujarat, India
| | - Parth Kavathia
- MBBS Students, C U Shah Medical College, Surendranagar, India
| | | | - Jainy Thakkar
- MBBS Students, C U Shah Medical College, Surendranagar, India
| | - Girija Kartha
- Department of Community Medicine, C U Shah Medical College, Surendranagar, India
| |
Collapse
|
12
|
Espósito RC, de Medeiros PJ, Silva FDS, Oliveira AG, Soares Aragão CF, Oliveira Rocha HA, Moreira SA, de Farias Sales VS. Prevalence of the metabolic syndrome according to different criteria in the male population during the Blue November Campaign in Natal, RN, Northeastern Brazil. Diabetes Metab Syndr Obes 2018; 11:401-408. [PMID: 30122967 PMCID: PMC6084070 DOI: 10.2147/dmso.s168430] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is an aggregation of risk factors associated with increased incidence of cardiovascular disease, type 2 diabetes mellitus, and all-cause mortality. Information on MetS prevalence is scarce in the northeast region, Brazil. This study aims to estimate the prevalence of MetS according to different diagnostic criteria in a community sample of men during the November Blue Campaign living in the metropolitan area of Natal, Rio Grande do Norte, Brazil. METHODS This is a cross-sectional study on 500 men aged 40 years or older invited by the Blue November Campaign of 2015, an awareness program aimed at the prevention of male diseases. The evaluation included blood pressure, anthropometric measurements (weight, height, and waist circumference), fasting blood glucose, and blood lipid profile. The diagnosis of MetS was made according to the criteria of International Diabetes Federation (IDF)/American Heart Association (AHA)/National Heart, Lung, and Blood Institute (NHLBI), IDF, and National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATPIII). RESULTS The prevalence was high by considering the following three criteria: IDF/AHA/NHLBI (66.8%), IDF (60.0%), and NCEP-ATPIII (46.4%). Concordance between diagnostic criteria measured by the kappa statistic (k) was excellent between IDF/AHA/NHLBI and IDF (k=0.85, P<0.0001) and moderate between IDF/AHA/NHLBI and NCEP-ATPIII (k=0.59) and IDF and NCEP-ATPIII (k=0.54). CONCLUSION Prevalence of MetS in the male population was high using the three diagnostic criteria. IDF/AHA/NHLBI and IDF criteria have a high level of agreement, but NCEP-ATPIII criteria identify a lower number of MetS cases.
Collapse
Affiliation(s)
- Regina Carmen Espósito
- Department of Clinical and Toxicology Analysis, Clinical Immunology Laboratory, Postgraduate Program in Development in Innovation Technogical in Medicines, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil,
| | - Paulo Jose de Medeiros
- Division of Urology, Department of Integrated Medicine, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Fernando de Souza Silva
- Urology Clinic University of Hospital Onofre Lopes, Federal University of Rio Grande do Norte, Natal, RN, Brazil
| | - Antonio Gouveia Oliveira
- Department of Pharmacy, Federal University of Rio Grande of Norte, Natal, Rio Grande do Norte, Brazil
| | | | - Hugo Alexandre Oliveira Rocha
- Department of Biochemistry, Biosciences Center, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Sueli Aparecida Moreira
- Hideas Feeding and Nutritional Security Research Group, Biosciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil
| | - Valéria Soraya de Farias Sales
- Department of Clinical and Toxicology Analysis, Clinical Immunology Laboratory, Postgraduate Program in Development in Innovation Technogical in Medicines, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil,
| |
Collapse
|
13
|
Prevalence of Metabolic Syndrome in Treatment Naïve Rheumatoid Arthritis and Correlation With Disease Parameters. Arch Rheumatol 2016; 32:46-52. [PMID: 30375525 DOI: 10.5606/archrheumatol.2017.5949] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Accepted: 06/26/2016] [Indexed: 11/21/2022] Open
Abstract
Objectives This study aims to assess the prevalence of metabolic syndrome (MetS) in treatment naïve rheumatoid arthritis (RA) in an Indian population and correlate RA disease characteristics with presence of MetS. Patients and methods The study included 84 RA patients (18 males, 66 females; mean age 44.8±12.5 years; range 18 to 72 years) diagnosed according to 2010 American College of Rheumatology-European League Against Rheumatism classification criteria who were treatment naïve or did not receive disease modifying antirheumatic drugs for more than six weeks and 120 age and sex-matched apparently healthy controls (35 males, 85 females; mean age 44.1±12.7 years; range 18 to 75 years). The frequency of MetS was assessed using National Cholesterol Education Program- Adult Treatment Panel III 2004 revised criteria. Patients were also assessed in terms of disease activity, using disease activity score 28 erythrocyte sedimentation rate. Logistic regression was used to identify predictors of MetS in RA. Results Metabolic syndrome was found in 39.28% of RA group and 20% of control group according to National Cholesterol Education Program- Adult Treatment Panel III 2004 (p<0.005). MetS was most commonly detected in the 51 to 60 age group (65%). RA group was significantly more likely to have low high-density lipoprotein (63.09%), high triglyceride (53.57%), elevated blood pressure (41.66%) levels, and elevated waist circumference (38.09%). In RA group, disease activity score 28 (odds ratio: 6.51, confidence interval: 1.19-35.46 p=0.03), C-reactive protein (odds ratio: 1.13, confidence interval: 1.05-1.21 p<0.001), and duration of disease (odds ratio: 1.82, confidence interval: 1.04-3.18 p=0.03) remained independent predictors for presence of MetS in RA. Conclusion The frequency of MetS was higher in RA group compared to control group. Higher systemic inflammatory marker, disease duration, and disease activity score 28 remained independent predictors associated with presence of MetS. These findings suggest that RA patients should be screened early for presence of MetS to check for and reduce risk of atherosclerotic vascular diseases.
Collapse
|
14
|
Identifying metabolic syndrome in a clinical cohort: Implications for prevention of chronic disease. Prev Med Rep 2016; 4:502-506. [PMID: 27699144 PMCID: PMC5045945 DOI: 10.1016/j.pmedr.2016.09.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Revised: 09/09/2016] [Accepted: 09/19/2016] [Indexed: 01/31/2023] Open
Abstract
In the clinical setting, calculating cardiovascular disease (CVD) risk is commonplace but the utility of the harmonised equation for metabolic syndrome (MetS) (Alberti et al., 2009) is less well established. The aims of this study were to apply this equation to an overweight clinical cohort to identify risk factors for being metabolically unhealthy and explore associations with chronic disease. Baseline data were analysed from a lifestyle intervention trial of Illawarra residents recruited in 2014/2015. Participants were aged 25–54 years with a BMI 25–40 kg/m2. Data included MetS, CVD risk, insulin sensitivity, weight, body fat, diet, peripheral artery disease (PAD), physical activity, socio-economic position and psychological profile. Backward stepwise regression tested the association of covariates with MetS status and linear or logistic regression tested associations between MetS and risk of CVD, coronary heart disease, PAD and insulin resistance. 374 participants were included in the analysis with 127 (34.0%) categorised with MetS. Covariates significantly and positively associated with MetS were higher BMI (odds 1.26, p < 0.01) and older age (odds 1.08, p < 0.01). MetS participants (n = 351) had a 4.50% increase in CVD risk and were 8.1 and 12.7 times (respectively) more likely to be at risk of CHD and insulin resistance, compared to participants without MetS. The utility of the harmonised equation in the clinical setting was confirmed in this overweight clinical cohort. Those classified as having MetS were more likely to be older, overweight/obese individuals and they had a substantially higher risk of developing CVD and insulin resistance than those without MetS. Older, obese individuals at greatest risk of having Metabolic Syndrome (MetS) Stress, socioeconomic, fitness and diet factors were not associated with MetS. MetS individuals had increased cardiovascular risk of 4.50%. MetS were 12.7 times more likely to be insulin resistant. Study identifies those at risk in order to implement early lifestyle changes.
Collapse
|
15
|
Nakajima K, Kanda E, Suwa K. Prevalent hyperglycemia in older obese population and age-dependent convergence of obese indices: Results of a cross-sectional study of Japanese generations over the adult life span. Endocr Res 2016; 41:236-47. [PMID: 26853545 DOI: 10.3109/07435800.2015.1111901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
PURPOSE/AIM An age-dependent decline has been observed in the association between obesity and type 2 diabetes, a major comorbidity of obesity, although the evidence is limited. Therefore, we investigated the association and the plausible underlying mechanism in a large epidemiological study. MATERIALS AND METHODS We examined the association between the degree of obesity and hyperglycemia in five age groups (20-39, 40-49, 50-59, 60-69, and 70-85 years) in a cross-sectional study of 78,776 apparently healthy Japanese men and women who underwent a checkup in 2012. Hyperglycemia was defined as glycosylated hemoglobin (HbA1c) of ≥5.7% and/or pharmacotherapy for diabetes. RESULTS The incidence of hyperglycemia was three times higher in the 70-85-year-old group (62%) than in the 20-39-year-old group (20%) in obese individuals (body mass index [BMI] ≥ 27.0 kg/m(2)). However, the incidence was 12 times higher in reference-weight individuals (21.0-22.9 kg/m(2); 48% and 4%, respectively). As age increased, mean BMI and waist circumference approached certain non-obese ranges (22-24 kg/m(2) and 80-86 cm, respectively), even in hyperglycemic subjects. Logistic regression analysis revealed an age-dependent decline in the association between obesity and hyperglycemia, relative to that in reference-weight individuals. CONCLUSIONS Our results confirmed the previously reported age-dependent decline in the association between obesity and hyperglycemia, although hyperglycemia was still prevalent in older obese subjects than in older reference-weight subjects. Therefore, the decline in the association may be accelerated due to an age-dependent increase in the prevalence of hyperglycemia in reference-weight individuals.
Collapse
Affiliation(s)
- Kei Nakajima
- a Division of Clinical Nutrition, Department of Medical Dietetics, Faculty of Pharmaceutical Sciences , Josai University , Saitama , Japan
- b Department of Metabolism , Kuki General Hospital , Kuki , Saitama , Japan
| | - Eiichiro Kanda
- c Department of Nephrology , Tokyo Kyosai Hospital , Tokyo , Japan
| | - Kaname Suwa
- d Saitama Health Promotion Corporation , Saitama , Japan
| |
Collapse
|
16
|
Barton JC, Barton JC, Adams PC, Acton RT. Risk Factors for Insulin Resistance, Metabolic Syndrome, and Diabetes in 248 HFE C282Y Homozygotes Identified by Population Screening in the HEIRS Study. Metab Syndr Relat Disord 2016; 14:94-101. [PMID: 26771691 DOI: 10.1089/met.2015.0123] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND We sought to identify risk factors for insulin resistance, metabolic syndrome (MetS), and diabetes mellitus in 248 non-Hispanic white HFE C282Y homozygotes identified by population screening. METHODS We analyzed observations obtained prospectively in a postscreening examination: age; sex; body mass index (BMI); systolic/diastolic blood pressure; metacarpophalangeal (MP) joint hypertrophy; hepatomegaly; complete blood counts; alanine/aspartate aminotransferase levels; elevated C-reactive protein (>0.5 mg/dL); transferrin saturation; serum ferritin; homeostasis model assessment-insulin resistance (HOMA-IR); and MetS. RESULTS Twenty-six participants (10.5%) had diabetes diagnoses. A significant trend across HOMA-IR quartiles was observed only for blood neutrophils. Logistic regression on HOMA-IR fourth quartile revealed positive associations: age (P = 0.0002); male sex (P = 0.0022); and BMI (P < 0.0001). HOMA-IR fourth quartile predicted MetS (P < 0.0001). Logistic regression on diabetes revealed positive associations: age (P = 0.0012); male sex (P = 0.0068); MP joint hypertrophy (P = 0.0167); neutrophils (P = 0.0342); and MetS (P = 0.0298). Serum ferritin did not predict HOMA-IR fourth quartile, MetS, or diabetes. CONCLUSIONS In screening C282Y homozygotes, age, male sex, and BMI predicted HOMA-IR fourth quartile. HOMA-IR fourth quartile alone predicted MetS. Diabetes was associated with greater age, male sex, MP joint hypertrophy, greater blood neutrophil counts, and MetS.
Collapse
Affiliation(s)
- James C Barton
- 1 Southern Iron Disorders Center , Birmingham, Alabama.,2 Department of Medicine, University of Alabama at Birmingham , Birmingham, Alabama
| | | | - Paul C Adams
- 3 Department of Medicine, University of Western Ontario , London, Ontario, Canada
| | - Ronald T Acton
- 1 Southern Iron Disorders Center , Birmingham, Alabama.,4 Department of Microbiology, University of Alabama at Birmingham , Alabama
| |
Collapse
|
17
|
Nascimento H, Catarino C, Mendonça D, Oliveira P, Alves AI, Medeiros AF, Pereira PR, Rêgo C, Mansilha HF, Aires L, Mota J, Quintanilha A, Santos-Silva A, Belo L. Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents. Diabetol Metab Syndr 2015; 7:32. [PMID: 25969698 PMCID: PMC4427917 DOI: 10.1186/s13098-015-0022-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Accepted: 03/11/2015] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Growth-curves are an important tool for evaluating the anthropometric development in pediatrics. The different growth-curves available are based in different populations, what leads to different cut-offs. Pediatric obesity tracks into adulthood and is associated with increased cardiovascular risk. The accurate assessment of a child nutritional status using growth-curves can indicate individuals that are either obese or in risk of becoming obese, allowing an early intervention. Moreover, the association between the data obtained from growth-curves with specific metabolic risk factors further highlights the importance of these charts. This study aimed to evaluate the associations between body mass index z-score (BMIzsc), determined using the growth-curves from the Centre for Disease Control and Prevention (CDC) and from the World Health Organization (WHO), with cardiovascular risk factors, represented here by metabolic syndrome (MS) and insulin resistance (IR) related parameters. The study involved 246 obese adolescents (10-18 years, 122 females). MS was defined according to the International Diabetes Federation. IR was considered for HOMA-IR greater than 2.5. FINDINGS No difference between both BMIzsc in identifying MS was noticeable by a ROC analysis. For both indexes the area-under-the-curve increased for older groups, particularly for males. CDC-BMIzsc was the best predictor of MS by logistic regression when all population was considered, however MS was better predicted by WHO-BMIzsc for females and by CDC-BMIzsc for males. Younger girls and older boys were in increased risk for MS. Similar results were obtained for IR. CONCLUSIONS A significant difference between the two BMIzsc regarding their association with MS and IR was not clear, being these associations weaker in younger individuals.
Collapse
Affiliation(s)
- Henrique Nascimento
- />Biological Science Department, Faculty of Pharmacy, University of Porto, Porto, Portugal
- />Instituto de Biologia Molecular e Celular (Institute for Molecular and Cell Biology), Universidade do Porto, Porto, Portugal
- />Instituto de Investigação e Inovação em Saúde (Institute for Research and Innovation in Health), Universidade do Porto, Porto, Portugal
| | - Cristina Catarino
- />Biological Science Department, Faculty of Pharmacy, University of Porto, Porto, Portugal
- />Instituto de Biologia Molecular e Celular (Institute for Molecular and Cell Biology), Universidade do Porto, Porto, Portugal
- />Instituto de Investigação e Inovação em Saúde (Institute for Research and Innovation in Health), Universidade do Porto, Porto, Portugal
| | - Denisa Mendonça
- />Population Study Department, Biomedical Sciences Institute Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Pedro Oliveira
- />Population Study Department, Biomedical Sciences Institute Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Ana Inês Alves
- />Instituto de Biologia Molecular e Celular (Institute for Molecular and Cell Biology), Universidade do Porto, Porto, Portugal
- />Instituto de Investigação e Inovação em Saúde (Institute for Research and Innovation in Health), Universidade do Porto, Porto, Portugal
- />Research Centre in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto, Porto, Portugal
| | - Ana Filipa Medeiros
- />Research Centre in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto, Porto, Portugal
| | | | - Carla Rêgo
- />Children and Adolescent Centre, CUF Hospital; Center for Health Technology and Services Research (CINTESIS), Faculty of Medicine, University of Porto, Porto, Portugal
| | - Helena Ferreira Mansilha
- />Childhood and Adolescence Department/Paediatric Service of Porto Hospital Centre, Porto, Portugal
| | - Luísa Aires
- />Research Centre in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto, Porto, Portugal
- />University Institute of Maia (ISMAI), S. Pedro Avioso, Portugal
| | - Jorge Mota
- />Research Centre in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto, Porto, Portugal
| | - Alexandre Quintanilha
- />Instituto de Biologia Molecular e Celular (Institute for Molecular and Cell Biology), Universidade do Porto, Porto, Portugal
- />Instituto de Investigação e Inovação em Saúde (Institute for Research and Innovation in Health), Universidade do Porto, Porto, Portugal
- />Biomedical Sciences Institute Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Alice Santos-Silva
- />Biological Science Department, Faculty of Pharmacy, University of Porto, Porto, Portugal
- />Instituto de Biologia Molecular e Celular (Institute for Molecular and Cell Biology), Universidade do Porto, Porto, Portugal
- />Instituto de Investigação e Inovação em Saúde (Institute for Research and Innovation in Health), Universidade do Porto, Porto, Portugal
| | - Luís Belo
- />Biological Science Department, Faculty of Pharmacy, University of Porto, Porto, Portugal
- />Instituto de Biologia Molecular e Celular (Institute for Molecular and Cell Biology), Universidade do Porto, Porto, Portugal
- />Instituto de Investigação e Inovação em Saúde (Institute for Research and Innovation in Health), Universidade do Porto, Porto, Portugal
| |
Collapse
|
18
|
Hickmott J. DYRK1B variant linked to autosomal dominant metabolic syndrome. Clin Genet 2014; 87:30-1. [PMID: 25092113 DOI: 10.1111/cge.12477] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Accepted: 07/31/2014] [Indexed: 10/25/2022]
Affiliation(s)
- J Hickmott
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada.
| |
Collapse
|
19
|
Ageno W, Di Minno MND, Ay C, Jang MJ, Hansen JB, Steffen LM, Vayà A, Rattazzi M, Pabinger I, Oh D, Di Minno G, Braekkan SK, Cushman M, Bonet E, Pauletto P, Squizzato A, Dentali F. Association between the metabolic syndrome, its individual components, and unprovoked venous thromboembolism: results of a patient-level meta-analysis. Arterioscler Thromb Vasc Biol 2014; 34:2478-85. [PMID: 25212233 DOI: 10.1161/atvbaha.114.304085] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE The metabolic syndrome (MetS) may contribute to the pathogenesis of venous thromboembolism (VTE), but this association requires additional investigation. APPROACH AND RESULTS We performed a patient-level meta-analysis of case-control and cohort studies that evaluated the role of MetS and risk of unprovoked VTE. For case-control studies, odds ratios and 95% confidence intervals were calculated using logistic regression analysis to estimate the influence of individual variables on the risk of VTE; χ(2) tests for trend were used to investigate the effect of increasing number of components of MetS on the risk of VTE and to explore the influence of abdominal obesity on this relationship. For cohort studies, hazard ratios and 95% confidence interval were calculated using multivariable Cox regression analysis. Six case-control studies were included (908 cases with unprovoked VTE and 1794 controls): in multivariate analysis, MetS was independently associated with VTE (odds ratio, 1.91; 95% confidence interval, 1.57-2.33), and both MetS and abdominal obesity were better predictors of unprovoked VTE than obesity defined by the body mass index. Two prospective cohort studies were included (26,531 subjects and 289 unprovoked VTE events): age, obesity, and abdominal obesity, but not MetS were associated with VTE. CONCLUSIONS Case-control but not prospective cohort studies support an association between MetS and VTE. Abdominal adiposity is a strong risk factor for VTE.
Collapse
Affiliation(s)
- Walter Ageno
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.).
| | - Matteo N D Di Minno
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Cihan Ay
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Moon Ju Jang
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - John-Bjarne Hansen
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Lyn M Steffen
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Amparo Vayà
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Marcello Rattazzi
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Ingrid Pabinger
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Doyeun Oh
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Giovanni Di Minno
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Sigrid K Braekkan
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Mary Cushman
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Elena Bonet
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Paolo Pauletto
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Alessandro Squizzato
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| | - Francesco Dentali
- From the Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy (W.A., A.S., F.D.); Unit of Cell and Molecular Biology in Cardiovascular Diseases, Centro Cardiologico Monzino, IRCCS, Milan, Italy (M.N.D.D.M.); Department of Experimental and Clinical Medicine, Federico II University, Napoli, Italy (M.N.D.D.M., G.D.M.); Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria (C.A., I.P.); Department of Internal Medicine, School of Medicine, CHA University, Seongnam, Korea (M.J.J., D.O.); Department of Clinical Medicine, University of Tromso, Tromso, Norway (J.-B.H., S.K.B.); Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (L.M.S.); Department of Medicine, University of Vermont College of Medicine, Burlington (M.C.); Hemostasis Unit, Service of Clinical Pathology, La Fe University Hospital, Valencia, Spain (A.V., E.B.); and Department of Internal Medicine, Ca' Foncello Hospital, Treviso, Italy (M.R., P.P.)
| |
Collapse
|
20
|
Belo L, Nascimento H, Kohlova M, Bronze-da-Rocha E, Fernandes J, Costa E, Catarino C, Aires L, Mansilha HF, Rocha-Pereira P, Quintanilha A, Rêgo C, Santos-Silva A. Body fat percentage is a major determinant of total bilirubin independently of UGT1A1*28 polymorphism in young obese. PLoS One 2014; 9:e98467. [PMID: 24901842 PMCID: PMC4046990 DOI: 10.1371/journal.pone.0098467] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2013] [Accepted: 05/04/2014] [Indexed: 12/05/2022] Open
Abstract
Objectives Bilirubin has potential antioxidant and anti-inflammatory properties. The UGT1A1*28 polymorphism (TA repeats in the promoter region) is a major determinant of bilirubin levels and recent evidence suggests that raised adiposity may also be a contributing factor. We aimed to study the interaction between UGT1A1 polymorphism, hematological and anthropometric variables with total bilirubin levels in young individuals. Methods 350 obese (mean age of 11.6 years; 52% females) and 79 controls (mean age of 10.5 years; 59% females) were included. Total bilirubin and C-reactive protein (CRP) plasma levels, hemogram, anthropometric data and UGT1A1 polymorphism were determined. In a subgroup of 74 obese and 40 controls body composition was analyzed by dual-energy X-ray absorptiometry. Results The UGT1A1 genotype frequencies were 49.9%, 42.7% and 7.5% for 6/6, 6/7 and 7/7 genotypes, respectively. Patients with 7/7 genotype presented the highest total bilirubin levels, followed by 6/7 and 6/6 genotypes. Compared to controls, obese patients presented higher erythrocyte count, hematocrit, hemoglobin and CRP levels, but no differences in bilirubin or in UGT1A1 genotype distribution. Body fat percentage was inversely correlated with bilirubin in obese patients but not in controls. This inverse association was observed either in 6/7 or 6/6 genotype obese patients. UGT1A1 polymorphism and body fat percentage were the main factors affecting bilirubin levels within obese patients (linear regression analysis). Conclusion In obese children and adolescents, body fat composition and UGT1A1 polymorphism are independent determinants of total bilirubin levels. Obese individuals with 6/6 UGT1A1 genotype and higher body fat mass may benefit from a closer clinical follow-up.
Collapse
Affiliation(s)
- Luís Belo
- Departamento de Ciências Biológicas, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Porto, Portugal
- * E-mail:
| | - Henrique Nascimento
- Departamento de Ciências Biológicas, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Porto, Portugal
| | - Michaela Kohlova
- Institute for Biomedical Imaging and Life Science (IBILI), Faculdade de Medicina, Universidade de Coimbra, Coimbra, Portugal
| | - Elsa Bronze-da-Rocha
- Departamento de Ciências Biológicas, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Porto, Portugal
| | - João Fernandes
- Departamento de Ciências Biológicas, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
- Institute for Biomedical Imaging and Life Science (IBILI), Faculdade de Medicina, Universidade de Coimbra, Coimbra, Portugal
| | - Elísio Costa
- Departamento de Ciências Biológicas, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Porto, Portugal
| | - Cristina Catarino
- Departamento de Ciências Biológicas, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Porto, Portugal
| | - Luísa Aires
- Centro de Investigação em Actividade Física, Saúde e Lazer (CIAFEL), Faculdade de Desporto, Universidade do Porto, Porto, Portugal
- Instituto Universitário da Maia (ISMAI), Maia, Portugal
| | - Helena Ferreira Mansilha
- Departamento da Infância e Adolescência/Serviço de Pediatria do Centro Hospitalar do Porto, Porto, Portugal
| | - Petronila Rocha-Pereira
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal
| | - Alexandre Quintanilha
- Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, Porto, Portugal
| | - Carla Rêgo
- Centro da Criança e do Adolescente. Hospital CUF Porto, Center for Health Technology and Services Research (CINTESIS), Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Alice Santos-Silva
- Departamento de Ciências Biológicas, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Universidade do Porto, Porto, Portugal
| |
Collapse
|
21
|
Keramati AR, Fathzadeh M, Go GW, Singh R, Choi M, Faramarzi S, Mane S, Kasaei M, Sarajzadeh-Fard K, Hwa J, Kidd KK, Babaee Bigi MA, Malekzadeh R, Hosseinian A, Babaei M, Lifton RP, Mani A. A form of the metabolic syndrome associated with mutations in DYRK1B. N Engl J Med 2014; 370:1909-1919. [PMID: 24827035 PMCID: PMC4069260 DOI: 10.1056/nejmoa1301824] [Citation(s) in RCA: 97] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Genetic analysis has been successful in identifying causative mutations for individual cardiovascular risk factors. Success has been more limited in mapping susceptibility genes for clusters of cardiovascular risk traits, such as those in the metabolic syndrome. METHODS We identified three large families with coinheritance of early-onset coronary artery disease, central obesity, hypertension, and diabetes. We used linkage analysis and whole-exome sequencing to identify the disease-causing gene. RESULTS A founder mutation was identified in DYRK1B, substituting cysteine for arginine at position 102 in the highly conserved kinase-like domain. The mutation precisely cosegregated with the clinical syndrome in all the affected family members and was absent in unaffected family members and unrelated controls. Functional characterization of the disease gene revealed that nonmutant protein encoded by DYRK1B inhibits the SHH (sonic hedgehog) and Wnt signaling pathways and consequently enhances adipogenesis. Furthermore, DYRK1B promoted the expression of the key gluconeogenic enzyme glucose-6-phosphatase. The R102C allele showed gain-of-function activities by potentiating these effects. A second mutation, substituting proline for histidine 90, was found to cosegregate with a similar clinical syndrome in an ethnically distinct family. CONCLUSIONS These findings indicate a role for DYRK1B in adipogenesis and glucose homeostasis and associate its altered function with an inherited form of the metabolic syndrome. (Funded by the National Institutes of Health.).
Collapse
Affiliation(s)
- Ali R Keramati
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Mohsen Fathzadeh
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Gwang-Woong Go
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Rajvir Singh
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Murim Choi
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Saeed Faramarzi
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Shrikant Mane
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Mohammad Kasaei
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Kazem Sarajzadeh-Fard
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - John Hwa
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Kenneth K Kidd
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Mohammad A Babaee Bigi
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Reza Malekzadeh
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Adallat Hosseinian
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Masoud Babaei
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Richard P Lifton
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| | - Arya Mani
- Department of Internal Medicine, Yale Cardiovascular Research Center (A.R.K., M.F., G.-W.G., R.S., S.F., J.H., A.M.), Yale Center for Mendelian Genomics (M.C., S.M., R.P.L., A.M.), Department of Genetics (K.K.K., R.P.L., A.M.), and Howard Hughes Medical Institute (R.P.L.), Yale University School of Medicine, New Haven, CT; the Digestive Disease Research Institute, Shariati Hospital (M.F., K.S.-F., R.M.), and Department of Medical Genetics (M.F.), Tehran University of Medical Sciences, Tehran, the Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz (M.K., K.S.-F., M.A.B.B.), and Ardabil University of Medical Sciences, Ardabil (A.H., M.B.) - all in Iran
| |
Collapse
|
22
|
Lefebvre P, Staels B. Failing FXR expression in the liver links aging to hepatic steatosis. J Hepatol 2014; 60:689-90. [PMID: 24418014 DOI: 10.1016/j.jhep.2014.01.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2013] [Accepted: 01/03/2014] [Indexed: 01/21/2023]
Affiliation(s)
- Philippe Lefebvre
- European Genomic Institute for Diabetes, F-59000 Lille, France; INSERM UMR1011, F-59000 Lille, France; Université Lille 2, F-59000 Lille, France; Institut Pasteur de Lille, F-59019 Lille, France
| | - Bart Staels
- European Genomic Institute for Diabetes, F-59000 Lille, France; INSERM UMR1011, F-59000 Lille, France; Université Lille 2, F-59000 Lille, France; Institut Pasteur de Lille, F-59019 Lille, France.
| |
Collapse
|
23
|
Thanakun S, Watanabe H, Thaweboon S, Izumi Y. Comparison of salivary and plasma adiponectin and leptin in patients with metabolic syndrome. Diabetol Metab Syndr 2014; 6:19. [PMID: 24528653 PMCID: PMC3926677 DOI: 10.1186/1758-5996-6-19] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2013] [Accepted: 02/10/2014] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The relationship of saliva with plasma protein levels makes saliva an attractive diagnostic tool. Plasma levels of adiponectin and leptin in healthy individuals or diabetes mellitus patients have been previously reported. Nevertheless, salivary levels of these adipocytokines in patients with metabolic syndrome (MS) have never been investigated. This study was aimed to determine adiponectin and leptin levels in saliva and plasma from patients with metabolic syndrome, and evaluate any correlation of these levels with MS. METHODS Forty-six healthy and 82 MS patients were enrolled. Demographic data and blood biochemistries were recorded. Saliva and plasma adiponectin and leptin levels were analyzed by enzyme-linked immunosorbent assay (ELISA). RESULTS Adiponectin and leptin were higher in plasma than in saliva (p < .001). Plasma adiponectin was decreased and plasma leptin increased in patients with MS (p < .001). Salivary adiponectin and salivary leptin were not different between healthy subjects and MS patients (p = .619 and p = .523). Correlation between salivary and plasma adiponectin showed significant association (r = .211, p = .018) while salivary and plasma leptin had no correlation (r = -.161, p = .069). Significant correlation was observed between the salivary adiponectin/salivary leptin ratio and plasma adiponectin (r = .371, p < .001), but not with any component of MS. Increased triglyceride and waist circumference were associated with risk of having a low level of plasma adiponectin (OR = 1.009; 95% CI 1.002-1.015 and OR = 1.125; 95% CI 1.029-1.230). For leptin, body mass index and high-density lipoprotein cholesterol (HDL-C) were associated with a high level of plasma leptin (OR = 1.621; 95% CI 1.212-2.168 and OR = .966; 95% CI .938-.996). The OR for MS as predicted by plasma adiponectin was .928 (95% CI .881-.977). CONCLUSIONS This study showed that salivary adiponectin and leptin do not correlate with MS. Although correlation between salivary and plasma adiponectin was observed, no association with MS was observed. Only plasma adiponectin may be useful for the prediction of MS.
Collapse
Affiliation(s)
- Supanee Thanakun
- Department of Oral Medicine and Periodontology, Faculty of Dentistry, Mahidol University, 6 Yodhi Str., Rajthewee, Bangkok 10400, Thailand
- Dental Center, Golden Jubilee Medical Center, Mahidol University, Bangkok, Thailand
| | - Hisashi Watanabe
- Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Sroisiri Thaweboon
- Department of Oral Microbiology, Faculty of Dentistry, Mahidol University, Bangkok, Thailand
| | - Yuichi Izumi
- Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
- Global Center of Excellence Program for Tooth and Bone Research, Tokyo Medical and Dental University, Bangkok, Japan
| |
Collapse
|
24
|
Yan Q, Sun D, Li X, Zheng Q, Li L, Gu C, Feng B. Neck circumference is a valuable tool for identifying metabolic syndrome and obesity in Chinese elder subjects: a community-based study. Diabetes Metab Res Rev 2014; 30:69-76. [PMID: 23996612 DOI: 10.1002/dmrr.2464] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Revised: 08/14/2013] [Accepted: 08/27/2013] [Indexed: 11/12/2022]
Abstract
OBJECTIVE We aim to explore the relationship of neck circumference to metabolic syndrome (MetS) and obesity in Chinese elders and to establish cut-off points of the neck circumference for MetS and obesity. METHODS Cross-sectional analysis for a population sample of 2092 individuals aged over 65 years, representative of East China elders. MetS was identified according to the 2004 Chinese Diabetes Society criteria. RESULTS Neck circumference was correlated with body mass index (r = 0.70, p = 0.000 in men, and r = 0.73, p = 0.000 in women) and waist circumference (waist circumference; r = 0.70, p = 0.000 in men, and r = 0.72, p = 0.000 in women). According to neck circumference quartile, the prevalence of MetS and its components were increased significantly from Q1 to Q4 (p for trend <0.001) in both genders. Binary logistic regression analysis revealed that both waist circumference and neck circumference were independent predictors of Mets, with odds ratios (95% confidence interval) 1.11 (1.08-1.15; p = 0.044) and 1.17 (1.07-1.28; p = 0.000), respectively, in men and 1.08 (1.05-1.10; p = 0.000) and 1.31 (1.21-1.42; p = 0.000), respectively, in women. As for obesity, the significant independent indicators in both genders were also waist circumference and neck circumference (all p < 0.01). In the receiver operating characteristic curves, both the optimal cut-off points of neck circumference for MetS and obesity were 38 cm in men and 35 cm in women. CONCLUSIONS The neck circumference, as waist circumference, is also a valuable tool for identifying MetS and obesity, with established cut-off points for the prediction of MetS and obesity in Chinese elders.
Collapse
Affiliation(s)
- Qun Yan
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Jimo Road 150, Shanghai, China
| | | | | | | | | | | | | |
Collapse
|
25
|
Santos J, Salgado P, Santos C, Mendes P, Saavedra J, Baldaque P, Monteiro L, Costa E. Effect of bariatric surgery on weight loss, inflammation, iron metabolism, and lipid profile. Scand J Surg 2013; 103:21-5. [PMID: 24177986 DOI: 10.1177/1457496913490467] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIMS Accumulating evidence indicates that a state of chronic inflammation has a crucial role in the pathogenesis of obesity-related metabolic dysfunction. This study aims to evaluate changes in inflammatory process, iron metabolism, erythropoiesis, and lipid profile associated with weight loss after gastric banding surgery. MATERIAL AND METHODS A total of 46 patients were evaluated before and 3 months after gastric banding surgery. A survey was conducted to record demographic data, body mass index, and presence of comorbidities. Moreover, complete blood cell counts and serum levels of iron, ferritin, transferrin, high-sensitivity C-reactive protein, total cholesterol, low-density lipoprotein-cholesterol, high-density lipoprotein-cholesterol, and triglycerides were performed. RESULTS At a follow-up 3 months after surgery, our patients presented a significant decrease in weight and body mass index, associated with a decreased inflammatory process (decreased high-sensitivity C-reactive protein, neutrophil counts, and neutrophil:lymphocyte ratio), increased iron availability (increased transferrin saturation and a trend to higher iron serum levels), and significant decreased triglycerides and triglycerides:high-density lipoprotein-cholesterol ratio. CONCLUSIONS Our results showed a significant decrease in the inflammation process 3 months after gastric banding surgery, associated with adipose tissue loss. This decrease in the inflammatory process is associated with more efficient iron absorption and increased iron availability for erythropoiesis. Moreover, we also found decreased triglyceride serum levels. These changes suggest benefits of weight loss, including decreased risk of cardiovascular disease.
Collapse
Affiliation(s)
- J Santos
- Hospital da Prelada-Dr. Domingos Braga da Cruz, Porto, Portugal
| | | | | | | | | | | | | | | |
Collapse
|
26
|
Xu S, Gao B, Xing Y, Ming J, Bao J, Zhang Q, Wan Y, Ji Q. Gender differences in the prevalence and development of metabolic syndrome in Chinese population with abdominal obesity. PLoS One 2013; 8:e78270. [PMID: 24194915 PMCID: PMC3806787 DOI: 10.1371/journal.pone.0078270] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Accepted: 09/10/2013] [Indexed: 12/28/2022] Open
Abstract
Background Not all the people with metabolic syndrome (MS) have abdominal obesity (AO). The study aimed to investigate gender differences in the prevalence and development of MS in Chinese population with abdominal obesity, which has rarely been reported. Methods Data were obtained from the 2007-08 China National Diabetes and Metabolic Disorders Study, and participants were divided into two samples for analysis. Sample 1 consisted of 19,046 people with abdominal obesity, while sample 2 included 2,124 people meeting pre-specified requirements. Survival analysis was used to analyze the development of MS. Results The age-standardized prevalence of MS in Chinese population with AO was 49.5%. The prevalence in males (73.7%) was significantly higher than that in females (36.9%). Males had significantly higher proportions of combinations of three or four MS components than females (36.4% vs. 30.2% and 18.4% vs. 5%, respectively). MS developed quick at first and became slow down later. Half of the participants with AO developed to MS after 3.9 years (95% CI: 3.7–4.1) from the initial metabolic abnormal component, whereas 75% developed to MS after 7.7 years (95% CI: 7.5–7.9). Conclusion Compared with females, Chinese males with AO should receive more attention because of their higher prevalence of MS and its components, more complex and risky combinations of abnormal components, and faster development of MS.
Collapse
Affiliation(s)
- Shaoyong Xu
- Department of Endocrinology, the First Affiliated Hospital of Fourth Military Medical University, Xi’an, China
| | - Bin Gao
- Department of Endocrinology, the First Affiliated Hospital of Fourth Military Medical University, Xi’an, China
| | - Ying Xing
- Department of Endocrinology, the First Affiliated Hospital of Fourth Military Medical University, Xi’an, China
| | - Jie Ming
- Department of Endocrinology, the First Affiliated Hospital of Fourth Military Medical University, Xi’an, China
| | - Junxiang Bao
- Department of Aerospace Physiology, Fourth Military Medical University, Xi’an, China
| | - Qiang Zhang
- Department of Orthopedics, Chinese PLA general hospital, Beijing, China
| | - Yi Wan
- Department of Health Statistics, School of Public Health, Fourth Military Medical University, Xi’an, China
- * E-mail: (QJ); (YW)
| | - Qiuhe Ji
- Department of Endocrinology, the First Affiliated Hospital of Fourth Military Medical University, Xi’an, China
- * E-mail: (QJ); (YW)
| | | |
Collapse
|
27
|
Ramli AS, Daher AM, Noor Khan Nor-Ashikin M, Mat-Nasir N, Keat Ng K, Miskan M, Ambigga KS, Ariffin F, Yasin Mazapuspavina M, Abdul-Razak S, Abdul-Hamid H, Abd-Majid F, Abu-Bakar N, Nawawi H, Yusoff K. JIS definition identified more Malaysian adults with metabolic syndrome compared to the NCEP-ATP III and IDF criteria. BIOMED RESEARCH INTERNATIONAL 2013; 2013:760963. [PMID: 24175300 PMCID: PMC3794630 DOI: 10.1155/2013/760963] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2013] [Accepted: 06/22/2013] [Indexed: 02/06/2023]
Abstract
Metabolic syndrome (MetS) is a steering force for the cardiovascular diseases epidemic in Asia. This study aimed to compare the prevalence of MetS in Malaysian adults using NCEP-ATP III, IDF, and JIS definitions, identify the demographic factors associated with MetS, and determine the level of agreement between these definitions. The analytic sample consisted of 8,836 adults aged ≥30 years recruited at baseline in 2007-2011 from the Cardiovascular Risk Prevention Study (CRisPS), an ongoing, prospective cohort study involving 18 urban and 22 rural communities in Malaysia. JIS definition gave the highest overall prevalence (43.4%) compared to NCEP-ATP III (26.5%) and IDF (37.4%), P < 0.001. Indians had significantly higher age-adjusted prevalence compared to other ethnic groups across all MetS definitions (30.1% by NCEP-ATP III, 50.8% by IDF, and 56.5% by JIS). The likelihood of having MetS amongst the rural and urban populations was similar across all definitions. A high level of agreement between the IDF and JIS was observed (Kappa index = 0.867), while there was a lower level of agreement between the IDF and NCEP-ATP III (Kappa index = 0.580). JIS definition identified more Malaysian adults with MetS and therefore should be recommended as the preferred diagnostic criterion.
Collapse
Affiliation(s)
- Anis Safura Ramli
- Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Aqil Mohammad Daher
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Population Health & Preventive Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Mohamed Noor Khan Nor-Ashikin
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Physiology Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Nafiza Mat-Nasir
- Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Kien Keat Ng
- Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Maizatullifah Miskan
- Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Krishnapillai S. Ambigga
- Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Farnaza Ariffin
- Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Md Yasin Mazapuspavina
- Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Suraya Abdul-Razak
- Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Hasidah Abdul-Hamid
- Primary Care Medicine Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Fadhlina Abd-Majid
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Najmin Abu-Bakar
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Hapizah Nawawi
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Centre for Pathology & Diagnostic Research Laboratory (CPDRL), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| | - Khalid Yusoff
- Centre for Translational Research and Epidemiology (CenTRE), Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
- Cardiology Discipline, Faculty of Medicine, Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia
| |
Collapse
|
28
|
Marcuello C, Calle-Pascual AL, Fuentes M, Runkle I, Rubio MA, Montañez C, Rojo-Martinez G, Soriguer F, Bordiu E, Goday A, Bosch-Comas A, Carmena R, Casamitjana R, Castaño L, Castell C, Catalá M, Delgado E, Franch J, Gaztambide S, Girbés J, Gomis R, Urrutia I, López-Alba A, Martínez-Larrad MT, Menéndez E, Mora-Peces I, Ortega E, Pascual-Manich G, Serrano-Rios M, Valdés S, Vázquez JA, Vendrell J. Prevalence of the metabolic syndrome in Spain using regional cutoff points for waist circumference: the di@bet.es study. Acta Diabetol 2013; 50:615-23. [PMID: 23512475 DOI: 10.1007/s00592-013-0468-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2013] [Accepted: 03/05/2013] [Indexed: 01/09/2023]
Abstract
The aim of the study is to assess the prevalence of metabolic syndrome (MetS) in Spain using specific cutoff points for waist circumference (WC) (>94.5 cm for men and >89.5 cm for women) and evaluating the influence of several socio-demographic and economic factors. Data on MetS were obtained from a national study of 4,727 subjects from 18 to 90 years of age, conducted in Spain between 2009 and 2010 (The di@bet.es study). MetS was defined applying the new Harmonized definition (evaluating the use of abdominal obesity (AO) as a obligatory criterion for MetS or not) as well as with other widely used criteria. Results were then compared with data from previous studies. Multiple logistic regression models were used to evaluate the influence of different social factors. The age-standardized MetS prevalence was 38.37 % (CI 35.74-40.99) in men and 29.62 % (CI 27.56-31.69) in women, when AO was required as a diagnostic criterion; 42.13 % (CI 39.37-44.89) and 32.31 % (CI 30.15-34.47) in men and women, respectively, if AO was not considered mandatory. Prevalence of MetS increased with age (p < 0.001 for trend). Women with a lower educational level were more likely to have MetS (OR 4.4; 95 % CI: 2.84-6.7) as compared with those with a higher educational level. Subjects with MetS had a worse physical quality of life. The combination of AO, hypertension and carbohydrate alterations was the most common MetS' pattern. A high prevalence of MetS was detected in the Spanish population especially in men, the elderly and women with a low educational level.
Collapse
|
29
|
Karrowni W, Li Y, Jones PG, Cresci S, Abdallah MS, Lanfear DE, Maddox TM, McGuire DK, Spertus JA, Horwitz PA. Insulin resistance is associated with significant clinical atherosclerosis in nondiabetic patients with acute myocardial infarction. Arterioscler Thromb Vasc Biol 2013; 33:2245-51. [PMID: 23868937 DOI: 10.1161/atvbaha.113.301585] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVE The prevalence of insulin resistance (IR) is increasing worldwide because of increasing age, obesity, and physical inactivity. Emerging evidence supports a direct proatherogenic effect of IR on the coronary vasculature, but the relation between IR and angiographic atherosclerosis in a real-world clinical setting is uncertain. In this work, we assessed whether IR is independently associated with clinically significant angiographic atherosclerosis in nondiabetic individuals. APPROACH AND RESULTS We examined the association between IR and the extent of coronary atherosclerosis determined by angiography in 1073 nondiabetic patients surviving acute myocardial infarction. Patients were divided into quartiles on the basis of the homeostasis model assessment grading of IR, and associations between IR and multivessel coronary artery disease, defined as ≥ 2 arteries with ≥ 70% stenosis (or ≥ 50% left main stenosis), were analyzed in bivariate and multivariable modeling. Overall, the cohort had a median age of 56 years; 28.9% women and 21.8% nonwhite. The crude prevalence of multivessel coronary artery disease was 37.8%, 42.3%, 47.2%, and 48.0% for homeostasis model assessment grading of IR quartiles 1, 2, 3, and 4, respectively (P(trend) = 0.009). In multivariable modeling, compared with quartile 1, both quartile 3 (relative risk [95% confidence interval], 1.31 [1.07-1.60]) and quartile 4 (1.29 [1.03-1.60]) were independently associated with multivessel coronary artery disease. Covariates in the model included patient demographic and clinical characteristics and metabolic factors (low-density lipoprotein-cholesterol, high-density lipoprotein-cholesterol, triglyceride, glycosylated hemoglobin, and high-sensitivity C-reactive protein). CONCLUSIONS We demonstrate an independent association between IR and multivessel coronary artery disease in nondiabetic postmyocardial infarction patients. Our findings strengthen the experimental evidence for a direct atherogenic effect of IR independent of glucose control and other components of the metabolic syndrome.
Collapse
Affiliation(s)
- Wassef Karrowni
- Division of Cardiovascular Diseases, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
30
|
Rostom S, Mengat M, Lahlou R, Hari A, Bahiri R, Hajjaj-Hassouni N. Metabolic syndrome in rheumatoid arthritis: case control study. BMC Musculoskelet Disord 2013; 14:147. [PMID: 23621997 PMCID: PMC3639853 DOI: 10.1186/1471-2474-14-147] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2012] [Accepted: 04/15/2013] [Indexed: 02/06/2023] Open
Abstract
Background Metabolic syndrome, a cluster of classical cardiovascular risk factors, including hypertension, obesity, glucose intolerance, and dyslipidemia is highly prevalent in patients with rheumatoid arthritis (RA). The aim of the study was to assess the frequency of metabolic syndrome (MS) in RA patients, and to evaluate the relationships between metabolic syndrome and RA. Methods The study was conducted on 120 RA patients according to the 1987 revised American College of Rheumatology classification criteria, and 100 age and sex matched apparently healthy controls. The frequency of metabolic syndrome was assessed using six Metabolic Syndrome definitions (Joint Consensus 2009, National Cholesterol Education Programme 2004 and 2001, International Diabetes Federation, World Health Organisation and European Group for Study of Insulin Resistance). Logistic regression was used to identify independent predictors of metabolic Syndrome. Results The frequency of metabolic syndrome varied from 18 to 48.6% in RA according to the definition used and was significantly higher than controls (for all definitions p<0.05). In multivariate analysis, higher ESR was independently associated with the presence of Met S (OR =1.36; CI: 1.18–2.12; p = 0.03). Glucocorticoid use, but not other disease modifying anti-rheumatic drugs (DMARDs), values remained significant independent predictors of the presence of metabolic syndrome in RA patients (OR = 1.45; CI: 1.12–2.14; p = 0.04). Conclusions In summary, the frequency of metabolic syndrome in RA varies according to the definition used and was significantly higher compared to controls (for all definitions p<0.05). Higher systemic inflammatory marker, and glucocorticoids use were independent predictors associated with the presence of metabolic syndrome in patients with RA. These findings suggest that physicians should screen for metabolic syndrome in patients with RA to control its components and therefore reduce the risk of cardiovascular disease in these patients.
Collapse
Affiliation(s)
- Samira Rostom
- Department of Rheumatology, University Mohammed V Souissi, Faculty of Medicine and Pharmacy, El Ayachi hospital, University Hospital of Rabat-Sale, PO Box: 10000, Sale, Morocco.
| | | | | | | | | | | |
Collapse
|
31
|
Canning KL, Brown RE, Jamnik VK, Kuk JL. Relationship between obesity and obesity-related morbidities weakens with aging. J Gerontol A Biol Sci Med Sci 2013; 69:87-92. [PMID: 23525474 DOI: 10.1093/gerona/glt026] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND A weak relationship exists between obesity and mortality risk in older populations, however, the influence of age on the relationship between obesity and morbidity is unclear. The objective of this study was to determine the influence of age on the relationship between obesity and cardiovascular disease, type 2 diabetes, dyslipidemia, and hypertension. METHODS Data from the Third National Health and Nutrition Examination Survey (1988-1994) were used. Individuals were classified into specific age (young: 18-40; middle: 40-65; old: 65-75; and very old: ≥75 years) and body mass index (BMI; 18.5-24.9, >25-29.9, ≥ 30kg/m(2)) categories. Cardiovascular disease, type 2 diabetes, dyslipidemia, and hypertension were categorized using measured metabolic risk factors, physician diagnosis, or medication use. RESULTS Age modified the relationship between BMI and cardiovascular disease (Age × BMI interaction, p = .049), dyslipidemia (Age × BMI interaction, p = .035 for men, p < .001 for women), and hypertension (Age × BMI interaction, p = .023) in women but not in men (p = .167). However, age did not modify the relationship between BMI and type 2 diabetes (Age × BMI interaction, p = .177). BMI was strongly associated with increased relative risk of cardiovascular disease, dyslipidemia, type 2 diabetes, and hypertension in the young and middle aged, however, the association between BMI and these metabolic conditions were much more attenuated with increasing age. CONCLUSION A stronger association between obesity and prevalent metabolic conditions exists in young and middle-aged populations than in old and very old populations. Longitudinal studies are needed to verify these findings and to confirm the benefits of weight loss on health across the life span.
Collapse
Affiliation(s)
- Karissa L Canning
- School of Kinesiology and Health Science, York University Sherman Health Science Research Centre, Rm 2002 4700 Keele Street Toronto, Ontario M3J 1P3, Canada.
| | | | | | | |
Collapse
|
32
|
Nascimento H, Costa E, Rocha-Pereira P, Rego C, Mansilha HF, Quintanilha A, Santos-Silva A, Belo L. Cardiovascular risk factors in portuguese obese children and adolescents: impact of small reductions in body mass index imposed by lifestyle modifications. Open Biochem J 2012; 6:43-50. [PMID: 22629286 PMCID: PMC3358715 DOI: 10.2174/1874091x01206010043] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2011] [Revised: 10/12/2011] [Accepted: 10/30/2011] [Indexed: 11/22/2022] Open
Abstract
Objectives: Evaluate cardiovascular risk factors in Portuguese obese children and adolescents and the long-term effects of lifestyle modifications on such risk factors. Design: Transversal cohort study and longitudinal study. Setting: University Hospital S. João and Children’s Hospital Maria Pia, Porto. Patients/Participants: 148 obese children and adolescents [81 females (54.7%); mean age of 11.0 years] and 33 controls (sex and age matched) participated in a cross-sectional study. Sixty obese patients agreed to participate in an one year longitudinal study after medical and nutritionist appointments to improve lifestyle modification; a substantial body mass index (BMI) reduction was defined by a decrease in BMI z-score (BMI z-sc) of 0.3 or more over the studied period. Main Outcome measures: Lipid profile (triglycerides, cholesterol, HDLc, LDLc, lipoprotein (a), apolipoproteins A and B) and circulating levels of C-reactive protein (CRP), adiponectin, glucose, and insulin. Results: Compared with the lean children, obese patients demonstrated statistically significantly higher insulin resistance index [Homeostasis model assessment (HOMA)], and triglycerides, LDLc, apolipoprotein (apo) B, insulin and CRP concentrations, whereas their HDLc and apo A levels were significantly lower (cross-sectional study). In the longitudinal study (n=60), a substantial BMI reduction occurred in 17 (28.3%) obese patients which led to a significant reduction in triglycerides, cholesterol, LDLc, apo B, glucose and insulin levels and in HOMA. The ΔBMI values over the studied period correlated inversely and significantly with BMI (P<0.001) and HOMA (P=0.026) values observed at baseline. In multiple linear regression analysis, BMI at baseline remained associated to changes in BMI over the studied period (standardised Beta: -0.271, P=0.05). Conclusion: Our data demonstrates that small reductions in BMI-zc, imposed by lifestyle modifications in obese children and adolescents, improve the cardiovascular risk profile of such patients. Furthermore, patients with higher BMI and/or insulin resistance seem to experience a greater relative reduction in their BMI after lifestyle improvements.
Collapse
Affiliation(s)
- Henrique Nascimento
- Departamento de Bioquímica, Faculdade de Farmácia, Universidade do Porto, 4050-047 Porto, Portugal
| | | | | | | | | | | | | | | |
Collapse
|
33
|
Chiou WK, Huang DH, Wang MH, Lee YJ, Lin JD. Significance and association of serum uric acid (UA) levels with components of metabolic syndrome (MS) in the elderly. Arch Gerontol Geriatr 2012; 55:724-8. [PMID: 22483588 DOI: 10.1016/j.archger.2012.03.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2011] [Revised: 03/10/2012] [Accepted: 03/13/2012] [Indexed: 01/10/2023]
Abstract
UNLABELLED Information concerning the association of serum UA levels and the development of MS in the Chinese aging population is limited. The aims of this study were to investigate age-related metabolic disorders and analyze the relationship between serum UA levels and the components of MS in the elderly. This cross-sectional observational study was performed in subjects from the Department of Health Examination, including 1182 subjects aged ≧65 years; among these subjects, 528 were women (mean age, 70.7 ± 4.8 years) and 654 were men (mean age, 71.4 ± 5.3 years). All the subjects underwent three-dimensional (3-D) whole-body scanning for accurate anthropometric measurements. Data analyses were performed using SPSS software. RESULTS MS, hyperuricemia, hypertension, and diabetes mellitus (DM) were present in 53.9%, 40.6%, 33.1%, and 30.1% of the subjects, respectively. Univariate statistical analysis showed that age, blood pressure, blood sugar levels, high-density lipoprotein levels, triglyceride levels, WBC count, and related anthropometric indices differed significantly in subjects categorized according to serum UA levels. In conclusion, our study showed that a high percentage of elderly subjects had hyperuricemia. The results showed an association between serum UA levels and cardiovascular risk factors, and this finding warrants concern with regard to the aging population.
Collapse
Affiliation(s)
- Wen-Ko Chiou
- Department of Industrial Design, Healthy Aging Research Center, Chang Gung University, Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Taiwan, ROC
| | | | | | | | | |
Collapse
|
34
|
Dietary, behavioural and socio-economic determinants of the metabolic syndrome among adults in Luxembourg: findings from the ORISCAV-LUX study. Public Health Nutr 2011; 15:849-59. [PMID: 21914256 DOI: 10.1017/s1368980011002278] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The purpose of the present research was to investigate the epidemiological profile of the metabolic syndrome (MetS) and to explore its potential dietary, behavioural and socio-economic determinants among European adults residing in Luxembourg. DESIGN Cross-sectional, population-based ORISCAV-LUX survey. SETTING European adults aged 18-69 years residing in Luxembourg. SUBJECTS A total of 1349 Europid adults, who participated in the ORISCAV-LUX survey, were included in the study. The prevalence of MetS was estimated according to the Revised-Adult Treatment Panel (R-ATPIII) criteria. Multivariate logistic regression was used to identify the dietary, behavioural and socio-economic factors independently associated with MetS. RESULTS The overall prevalence of MetS was 24.7 % with significant gender difference (18.5 % for women v. 30.8 % for men, P < 0.0001). Age, male gender, primary level of education, physical inactivity, family history of diabetes and hypertension and inadequate protein intake were identified as significant determinants of MetS, after adjusting for other socio-economic, family medical history and lifestyle factors. CONCLUSIONS MetS is a common condition among Europid adults in Luxembourg and increases dramatically with age, in both genders. Several dietary, socio-economic and behavioural factors explain the disparity observed. These findings highlight the importance of a comprehensive approach to MetS encompassing dietary, lifestyle and socio-economic aspects, both in clinical and community settings.
Collapse
|
35
|
Dzien A, Winner H, Theurl E, Dzien-Bischinger C, Lechleitner M. Body mass index in a large cohort of patients assigned to age decades between <20 and ≥80 years: relationship with cardiovascular morbidity and medication. J Nutr Health Aging 2011; 15:536-41. [PMID: 21808931 DOI: 10.1007/s12603-011-0055-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE There is an ongoing debate about the relationship between obesity and morbidity in the elderly, the clinical relevance of overweight and obesity in older patients and the need or harms of treatment. The main purpose of our study was to investigate whether a higher BMI is associated with a worse cardiovascular risk in all age groups, especially in the older ones. SUBJECTS AND DESIGN We performed a retrospective evaluation of clinical data from 3926 patients who visited a medical outdoor center for diagnostic and/or therapeutic interventions in the period from January 1995 to July 2010. Patients were assigned to eight age groups of one decade from <20 years to ≥80 years. RESULTS The Body Mass Index (BMI) of our patients showed a continuous increase with increasing age with peak values in the age decade 61-70 years (26.29 ±4.42 kg/m2). This was paralleled by an increase in cardiovascular events and need for continuous medication, demonstrating peak values in the age decade 61-70 years (22.3% in the female and 24.7% in the male group). In all age decades up to 80 years the BMI values were higher in patients with events compared to those without it. multivariable linear regression analysis - including confounding variables (blood pressure, fasting glucose, HDL-cholesterol, triglycerides, physical activity, smoking) - revealed for all age groups a strong positive relation of BMI and a negative relation of fat free mass (FFM) to the probability for a cardiovascular event and need for medication. CONCLUSION In all age groups, the percentage of cardiovascular events was directly correlated with the BMI. Having in mind the transition to an aging society, therapeutic and preventive strategies should, therefore, include weight management strategies also for the elderly.
Collapse
Affiliation(s)
- A Dzien
- Medical Center Hentschelhof, Buergerstrasse, Innsbruck, Austria
| | | | | | | | | |
Collapse
|
36
|
|
37
|
Abstract
The metabolic syndrome (MS) is a term used to describe the clustering of risk factors for cardiovascular disease (CVD), including elevated triglyceride (TG), low high density lipoprotein cholesterol (HDL), hypertension, hyperglycemia/ insulin resistance and intra-abdominal obesity. This paper discusses why the prevalence of MS in the setting of HIV has been reported to range from 7-45% and how antiretroviral drugs might contribute to the development of MS. The MS has been reported to be a 'CVD risk enhancer', and much debate is ongoing on the independent risk of CVD associated with the MS. Based on a limited number of studies on MS in HIV with clinical end-points, there is no data to support that the MS is independently associated with an increased risk of CVD.
Collapse
Affiliation(s)
- Signe W Worm
- Copenhagen HIV Programme, University of Copenhagen, Faculty of Health Science, Blegdamsvej, Copenhagen N, Denmark.
| | | |
Collapse
|
38
|
Hosseinpanah F, Barzin M, Amiri P, Azizi F. The trends of metabolic syndrome in normal-weight Tehranian adults. ANNALS OF NUTRITION AND METABOLISM 2011; 58:126-32. [PMID: 21540582 DOI: 10.1159/000327147] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2010] [Accepted: 03/08/2011] [Indexed: 11/19/2022]
Abstract
BACKGROUND In recent decades, more attention has been directed to the clustering of cardiometabolic risk factors in normal-weight adults. This study investigates trends of the prevalence of metabolic syndrome (MetS) in a normal-weight Tehranian adult population during 6.6 years of follow-up. METHODS In this population-based cohort study of 5,269 participants aged ≥ 20 years during the 3 phases (1999-2001, 2002-2005 and 2005-2008) of the Tehran Lipid and Glucose Study, we selected 390 males and 358 females with a normal body mass index (18.5-24.9) during all 3 periods of follow-up. MetS was defined according to the International Diabetes Federation criteria, and waist circumference (WC) cut points were ≥ 89 cm for males and ≥ 91 cm for females. RESULTS The overall prevalence of MetS increased from 2.3 and 4.0% in phases I and II to 9.6% in phase III. This trend was significant in males (p < 0.001) but not in females (p = 0.6). No significant changes in components of MetS were seen, except in WC among males. In the 3 study phases, prevalence of abdominal obesity was 3.1, 18.5 and 36.2% in males, respectively. CONCLUSIONS There was a dramatic 4-fold increase in the prevalence of MetS in the Tehranian normal-weight adult population, highlighting the importance of MetS components, especially of WC, in normal-weight adult males.
Collapse
Affiliation(s)
- Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University, Tehran, Iran. fhospanah @ endocrine.ac.ir
| | | | | | | |
Collapse
|
39
|
Zajacova A, Dowd JB, Burgard SA. Overweight adults may have the lowest mortality--do they have the best health? Am J Epidemiol 2011; 173:430-7. [PMID: 21228416 PMCID: PMC3900866 DOI: 10.1093/aje/kwq382] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2010] [Accepted: 10/11/2010] [Indexed: 12/25/2022] Open
Abstract
Numerous recent studies have found that overweight adults experience lower overall mortality than those who are underweight, normal-weight, or obese. These highly publicized findings imply that overweight may be the optimal weight category for overall health via its association with longevity-a conclusion with important public health implications. In this study, the authors examined the association between body mass index (BMI; (weight (kg)/height (m)(2))) and 3 markers of health risks using a nationally representative sample of US adults aged 20-80 years (n = 9,255) from the National Health and Nutrition Examination Survey (2005-2008). Generalized additive models, a type of semiparametric regression model, were used to examine the relations between BMI and biomarkers of inflammation, metabolic function, and cardiovascular function (C-reactive protein, hemoglobin A(1c), and high density lipoprotein cholesterol, respectively). The association between BMI and each biomarker was monotonic, with higher BMI being consistently associated with worse health risk profiles at all ages, in contrast to the U-shaped relation between BMI and mortality. Prior results suggesting that the overweight BMI category corresponds to the lowest risk of mortality may not be generalizable to indicators of health risk.
Collapse
Affiliation(s)
- Anna Zajacova
- Department of Sociology, College of Arts and Sciences, University of Wyoming, Laramie, USA.
| | | | | |
Collapse
|
40
|
Monda KL, North KE, Hunt SC, Rao DC, Province MA, Kraja AT. The genetics of obesity and the metabolic syndrome. Endocr Metab Immune Disord Drug Targets 2011; 10:86-108. [PMID: 20406164 DOI: 10.2174/187153010791213100] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2010] [Accepted: 04/04/2010] [Indexed: 12/19/2022]
Abstract
In this review, we discuss the genetic architecture of obesity and the metabolic syndrome, highlighting recent advances in identifying genetic variants and loci responsible for a portion of the variation in components of the metabolic syndrome, namely, adiposity traits, serum HDL and triglycerides, blood pressure, and glycemic traits. We focus particularly on recent progress from large-scale genome-wide association studies (GWAS), by detailing their successes and how lessons learned can pave the way for future discovery. Results from recent GWAS coalesce with earlier work suggesting numerous interconnections between obesity and the metabolic syndrome, developed through several potentially pleiotropic effects. We detail recent work by way of a case study on the cadherin 13 gene and its relation with adiponectin in the HyperGEN and the Framingham Heart Studies, and its association with obesity and the metabolic syndrome. We provide also a gene network analysis of recent variants related to obesity and metabolic syndrome discovered through genome-wide association studies, and 4 gene networks based on searching the NCBI database.
Collapse
Affiliation(s)
- Keri L Monda
- Department of Epidemiology, University of North Carolina at Chapel Hill, USA.
| | | | | | | | | | | |
Collapse
|
41
|
Prevalence of the metabolic syndrome in Luxembourg according to the Joint Interim Statement definition estimated from the ORISCAV-LUX study. BMC Public Health 2011; 11:4. [PMID: 21205296 PMCID: PMC3024931 DOI: 10.1186/1471-2458-11-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2010] [Accepted: 01/04/2011] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The prevalence of the metabolic syndrome (MS) has been determined in many countries worldwide but never in Luxembourg. This research aimed to 1) establish the gender- and age-specific prevalence of MS and its components in the general adult population of Luxembourg, according to the most recent Joint Interim Statement (JIS) definition, by using both the high and low cut-off points to define abdominal obesity, and 2) compare and assess the degree of agreement with the Revised National Cholesterol Education Programme-Adult Treatment Panel III (R-ATPIII) and the International Diabetes Federation (IDF) definitions. METHODS A representative stratified random sample of 1349 European subjects, aged 18-69 years, participated to ORISCAV-LUX survey. Logistic regression and odds ratios (OR) were used to study MS prevalence with respect to gender and age. The Framingham risk score (FRS) to predict the 10-year coronary heart disease (CHD) risk was calculated to compare the proportion of MS cases below or above 20%, according to both high and low waist circumference (WC) thresholds. Cohen's kappa coefficient (κ) was utilized to measure the degree of agreement between MS definitions. RESULTS The prevalence of the MS defined by the JIS was 28.0% and 24.7% when using the low (94/80) and the high (102/88) WC cut-off points, respectively. The prevalence was significantly higher in men than in women (OR = 2.6 and 2.3 for the low and high WC thresholds), as were all components of the MS except abdominal obesity measured by both thresholds. It also increased with age (OR values in age categories ranging from 2.7 to 28 when compared to the younger subjects for low WC and from 3.3 to 31 for the high WC cut-offs). The 10-year predicted risk of CHD by FRS did not depend on the threshold used. Globally, excellent agreement was observed between the three definitions of MS (κ= 0.89), in particular between JIS and IDF (κ = 0.93). Agreement was significantly higher in women than in men, and differed between age groups. CONCLUSION Regardless of the definition used, the adult population of Luxembourg reveals a high MS prevalence. Our findings contribute to build evidence regarding the definitive construct of the MS, to help selecting the waist circumference thresholds for Europid populations, and to support the need to revise the guidelines for abdominal obesity levels.
Collapse
|
42
|
Using principal component analysis to develop a single-parameter screening tool for metabolic syndrome. BMC Public Health 2010; 10:708. [PMID: 21083934 PMCID: PMC3091586 DOI: 10.1186/1471-2458-10-708] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2010] [Accepted: 11/18/2010] [Indexed: 11/10/2022] Open
Abstract
Background Metabolic syndrome (MS) is an important current public health problem faced worldwide. To prevent an "epidemic" of this syndrome, it is important to develop an easy single-parameter screening technique (such as waist circumference (WC) determination recommended by the International Diabetes Federation). Previous studies proved that age is a chief factor corresponding to central obesity. We intended to present a new index based on the linear combination of body mass index, and age, which could enhance the area under the receiver operating characteristic curves (AUCs) for assessing the risk of MS. Methods The labour law of the Association of Labor Standard Law, Taiwan, states that employers and employees are respectively obligated to offer and receive routine health examination periodically. Secondary data analysis and subject's biomarkers among five high-tech factories were used in this study between 2007 and 2008 in northern Taiwan. The subjects included 4712 males and 4196 females. The first principal component score (FPCS) and equal-weighted average (EWA) were determined by statistical analysis. Results Most of the metabolic and clinical characteristics were significantly higher in males than in females, except high-density lipoprotein cholesterol level. The older group (>45 years) had significantly lower values for height and high-density lipoprotein cholesterol level than the younger group. The AUCs of FPCS and EWA were significantly larger than those of WC and waist-to-height ratio. The low specificities of EWA and FPCS were compensated for by their substantially high sensitivities. FPCS ≥ 0.914 (15.4%) and EWA ≥ 8.8 (6.3%) were found to be the most prevalent cut off points in males and females, respectively. Conclusions The Bureau of Health Promotion, Department of Health, Taiwan, had recommended the use of WC ≥ 90 cm for males and ≥ 80 cm for females as singular criteria for the determination of central obesity instead of multiple parameters. The present investigation suggests that FPCS or EWA is a good predictor of MS among the Taiwanese. However, the use of FPCS is not computationally feasible in practice. Therefore, we suggest that EWA be used in clinical practice as a simple parameter for the identification of those at risk of MS.
Collapse
|
43
|
Trovato GM, Castro A, Tonzuso A, Garozzo A, Martines GF, Pirri C, Trovato F, Catalano D. Human obesity relationship with Ad36 adenovirus and insulin resistance. Int J Obes (Lond) 2010; 33:1402-9. [PMID: 19786969 DOI: 10.1038/ijo.2009.196] [Citation(s) in RCA: 74] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVES Infection with specific pathogens may lead to increased adiposity: a specific adiposity-promoting effect of Ad36 human adenovirus, without the involvement of neurological mechanisms, was reported. The aim of this study is to investigate whether non-diabetic patients with earlier Ad36 infection show greater degrees of overweight obesity, of Insulin Resistance (IR), assessed by homoeostasis-model assessment (HOMA), and/or of other related factors. Moreover, the relationship, if any, among these factors and an earlier Ad36 infection, and the hypothesis of a mechanism involving IR are investigated. SUBJECTS Ad36 seropositivity is assessed in 68 obese and 135 non-obese subjects, along with body composition, HOMA and laboratory investigations. RESULTS Age, body mass index (BMI), waist-hip ratio, blood pressure, insulin, HOMA and triglycerides are significantly greater in the Ad36 seropositive group. Ad36 seropositivity, along with HOMA and total cholesterol, explains BMI variance. No Ad36 seropositivity effect to HOMA could be envisaged by the same statistical model. CONCLUSION A significant association of Ad36 seropositivity with obesity and with essential hypertension in human beings is suggested by our study; this association is mostly significant in women. Our results do not support that any Ad36 adipogenic adenovirus effect is operating in human obesity through an insulin-resistance-related mechanism. Ad36 seropositive status could also be a hallmark of a clinical-metabolic profile possibly preceding obesity and diabetes in non-obese patients.
Collapse
Affiliation(s)
- G M Trovato
- Department of Internal Medicine, Clinica di Medicina Interna e Terapia Medica, Facoltá di Medicina e Chirurgia, Universitá di Catania, Catania, Italy.
| | | | | | | | | | | | | | | |
Collapse
|
44
|
Nascimento H, Rocha S, Rego C, Mansilha HF, Quintanilha A, Santos-Silva A, Belo L. Leukocyte Count versus C-Reactive Protein Levels in Obese Portuguese Patients Aged 6-12 Years Old. Open Biochem J 2010; 4:72-6. [PMID: 20676221 PMCID: PMC2911598 DOI: 10.2174/1874091x01004010072] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2010] [Revised: 02/26/2010] [Accepted: 03/04/2010] [Indexed: 12/31/2022] Open
Abstract
Objectives: to evaluate whether total and differential WBC counts are altered in young obese patients (aged 6-12 years) and if a relationship exists between WBC counts and the severity of obesity as well as with CRP level. Materials and Methods: a group of 77 obese patients [32 males and 45 females] and 19 controls [7 males and 12 females] were studied. Total WBC count was performed by using an automatic blood cell counter. Blood cell morphology and WBC differential count were evaluated in Wright stained blood films. The plasma levels of CRP were evaluated by immunoturbidimetry. Results: obese participants presented with a statistically significant higher neutrophil percentage and CRP levels when compared to controls; the median CRP value was about 5 times higher than that observed in controls. Absolute neutrophil count and neutrophil/lymphocyte ratio were also higher in patients, though without statistical significance. The parameters that were statistically significant related with adiposity markers were neutrophil count and CRP levels. The neutrophil count was positively and statistically correlated with body mass index (BMI), BMI z-score, waist circumference and waist/height ratio, and also with CRP levels. In multiple regression analysis, the only variable that remained statistically associated with neutrophil count was CRP (neutrophil count = 2.612 + 0.439lnCRP; standardised coefficient/beta: 0.384, P=0.001). When performing multiple regression without CRP, the only variable that remained statistically associated with neutrophil count was BMI. Conclusions: our results demonstrated in obese patients aged 6-12 years, a significant change in the differential leukocyte count towards neutrophilia, together with a significant higher CRP concentration, and that absolute neutrophil count correlates with obesity markers and with CRP levels. Our data also indicate that neutrophil count, a current clinically used low-cost parameter, may be used as an obesity-related inflammatory marker in young obese patients.
Collapse
Affiliation(s)
- Henrique Nascimento
- Department of Biochemistry, Faculty of Pharmacy, University of Porto, 4050-047 Porto, Portugal
| | | | | | | | | | | | | |
Collapse
|
45
|
Borchers JR, Clem KL, Habash DL, Nagaraja HN, Stokley LM, Best TM. Metabolic syndrome and insulin resistance in Division 1 collegiate football players. Med Sci Sports Exerc 2010; 41:2105-10. [PMID: 19915510 DOI: 10.1249/mss.0b013e3181abdfec] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE To estimate the prevalence of metabolic syndrome and insulin resistance in a cohort of Division 1 collegiate football players. METHODS Ninety football players were evaluated in a cross-sectional study to estimate the prevalence of metabolic syndrome, insulin resistance, and associated risk factors. Obesity was defined as a body fat >or=25% determined by BOD POD measurements. The National Cholesterol Education Program Adult Treatment Panel III criteria were used to estimate prevalence of metabolic syndrome. Quantitative insulin sensitivity check index calculations were performed to estimate prevalence of insulin resistance. Linear regression techniques were used to determine association between body fat percentage and other measured continuous parameters. Fisher exact test was used to determine association between nominal variables, and one-way ANOVA compared the three groups defined by position. RESULTS Summary measures showed a small prevalence of abnormal individual measurements. There was an association between body fat percentage and most evaluated parameters (P < 0.05). The prevalence of obesity, insulin resistance, and metabolic syndrome was 21%, 21%, and 9%, respectively. Obesity is closely associated with metabolic syndrome (P < 0.0001) and insulin resistance (P < 0.0001) in this population. All subjects with metabolic syndrome were obese, and the odds for insulin resistance in the obese group are 10.6 times the odds for the nonobese group. Linemen (n = 29) had 19 of the 19 obese subjects, 13 of the 19 subjects with insulin resistance, and all subjects with metabolic syndrome. CONCLUSIONS There is a strong association between obesity and both metabolic syndrome and insulin resistance in Division 1 collegiate football players. Linemen are at significant risk for metabolic syndrome and insulin resistance compared with other positions. This may be predictive of future health problems in Division 1 collegiate football players, especially linemen.
Collapse
|
46
|
Walid MS, Newman BF, Yelverton JC, Nutter JP, Ajjan M, Robinson JS. Prevalence of previously unknown elevation of glycosylated hemoglobin in spine surgery patients and impact on length of stay and total cost. J Hosp Med 2010; 5:E10-4. [PMID: 19753643 DOI: 10.1002/jhm.541] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND Elevated levels of glycosylated hemoglobin (HbA1c) among spine surgery patients may have an impact on length of stay (LOS) and healthcare cost. MATERIALS AND METHODS We retrospectively reviewed the charts of 556 spine surgery patients who underwent 1 of 3 types of surgery: lumbar microdiscectomy (LMD), anterior cervical decompression and fusion (ACDF), and lumbar decompression and fusion (LDF). Information was collected about their diabetes mellitus (DM) history and HbA1c levels. We used HbA1c 6.1% as the screening cutpoint. Percentages of nondiabetic patients, those with subclinical elevation of HbA1c and those with already known DM were calculated and statistical analysis was applied. RESULTS After excluding the small group of well-controlled DM (n = 14), 72.4% of patients were nondiabetic, 14.3% were subclinical patients with previously unknown HbA1c elevation, and 13.3% were already known, confirmed DM patients. There were significant differences in the LDF group between the "No DM" and "Subclinical" groups (P < 0.05) in terms of cost and LOS (P < 0.05). Age and body mass index (BMI) were very significant predictors of total cost in spine surgery patients (P <or= 0.001), in addition to the type of surgery. Univariate analysis with age, BMI, or both as covariates deprived DM-HbA1c status of statistical significance (P > 0.05) in determining cost. CONCLUSIONS There is a significant segment of spine surgery patients who were unaware of their elevated HbA1c status before their preoperative visit. These patients seem to utilize more healthcare resources, which is especially evident in the LDF group. We believe that HbA1c should be considered in the routine preoperative workup of spine surgery patients.
Collapse
Affiliation(s)
- M Sami Walid
- Medical Center of Central Georgia, Macon, Georgia 31201, USA.
| | | | | | | | | | | |
Collapse
|
47
|
Toms TE, Panoulas VF, John H, Douglas KMJ, Kitas GD. Methotrexate therapy associates with reduced prevalence of the metabolic syndrome in rheumatoid arthritis patients over the age of 60- more than just an anti-inflammatory effect? A cross sectional study. Arthritis Res Ther 2009; 11:R110. [PMID: 19607680 PMCID: PMC2745792 DOI: 10.1186/ar2765] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2009] [Revised: 06/22/2009] [Accepted: 07/16/2009] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION The metabolic syndrome (MetS) may contribute to the excess cardiovascular burden observed in rheumatoid arthritis (RA). The prevalence and associations of the MetS in RA remain uncertain: systemic inflammation and anti-rheumatic therapy may contribute. Methotrexate (MTX) use has recently been linked to a reduced presence of MetS, via an assumed generic anti-inflammatory mechanism. We aimed to: assess the prevalence of the MetS in RA; identify factors that associate with its presence; and assess their interaction with the potential influence of MTX. METHODS MetS prevalence was assessed cross-sectionally in 400 RA patients, using five MetS definitions (National Cholesterol Education Programme 2004 and 2001, International Diabetes Federation, World Health Organisation and European Group for Study of Insulin Resistance). Logistic regression was used to identify independent predictors of the MetS. Further analysis established the nature of the association between MTX and the MetS. RESULTS MetS prevalence rates varied from 12.1% to 45.3% in RA according to the definition used. Older age and higher HAQ scores associated with the presence of the MetS. MTX use, but not other disease modifying anti-rheumatic drugs (DMARDs) or glucocorticoids, associated with significantly reduced chance of having the MetS in RA (OR = 0.517, CI 0.33-0.81, P = 0.004). CONCLUSIONS The prevalence of the MetS in RA varies according to the definition used. MTX therapy, unlike other DMARDs or glucocorticoids, independently associates with a reduced propensity to MetS, suggesting a drug-specific mechanism, and makes MTX a good first-line DMARD in RA patients at high risk of developing the MetS, particularly those aged over 60 years.
Collapse
Affiliation(s)
- Tracey E Toms
- Department of Rheumatology, Dudley Group of Hospitals NHS Trust, Russells Hall Hospital, Dudley, West Midlands, UK.
| | | | | | | | | |
Collapse
|
48
|
Lewis JG, Shand BI, Frampton CM, Elder PA, Scott RS. Plasma retinol-binding protein is not a marker of insulin resistance in overweight subjects: a three year longitudinal study. Clin Biochem 2008; 41:1034-8. [PMID: 18588869 DOI: 10.1016/j.clinbiochem.2008.06.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2008] [Revised: 05/30/2008] [Accepted: 06/03/2008] [Indexed: 10/21/2022]
Abstract
OBJECTIVES This longitudinal study investigated whether or not plasma retinol-binding protein (RBP), recently referred to as RBP4, was a marker of insulin resistance in overweight subjects. METHODS We measured anthropometric markers as well as RBP, fasting glucose and insulin in 206 overweight subjects and repeated these measurements 36 months later. Subjects were grouped according to fasting plasma glucose concentration at baseline and 36 months. RESULTS Subjects (n=51) with a normal basal fasting glucose (<5.6 mmol/L) who developed impaired fasting glucose (IFG) 3 years later (>or=5.6 mmol/L) showed a highly significant increase in both fasting insulin and insulin resistance, but importantly no change in plasma RBP. This group had a significant increase in body mass index (BMI). Subjects (n=101) with a normal fasting glucose at both baseline (<5.6 mmol/L) and 36 months showed no significant change in fasting insulin, insulin resistance, RBP or BMI. The remaining subjects had impaired basal fasting glucose and were not analysed on a group-wise basis. Overall, RBP correlated significantly, but inversely, with anthropometric measures, but not with fasting glucose, insulin or insulin resistance. CONCLUSIONS This is the first report of a long-term longitudinal study on RBP and the major finding is that subjects who developed insulin resistance showed no change in plasma RBP. On the basis of our results we consider that RBP cannot be construed as a marker of insulin resistance in overweight humans.
Collapse
Affiliation(s)
- John G Lewis
- Steroid and Immunobiochemistry Laboratory, Canterbury Health Laboratories, P.O. Box 151, Christchurch, New Zealand.
| | | | | | | | | |
Collapse
|