scholarly journals The GH receptor exon 3 deleted/full-length polymorphism is associated with central adiposity in the general population

2015 ◽  
Vol 172 (2) ◽  
pp. 123-128 ◽  
Author(s):  
Camilla A M Glad ◽  
Lena M S Carlsson ◽  
Olle Melander ◽  
Peter Almgren ◽  
Lars Sjöström ◽  
...  

ObjectiveTo test the hypothesis that the GH receptor (GHR) exon 3 deleted (d3)/full-length (fl) polymorphism influences anthropometry and body composition in the general population.Design and settingThe Swedish Obese Subjects (SOS) reference study is a cross-sectional population-based study, randomly selected from a population registry. A subgroup of the population-based Malmö Diet and Cancer study (MDC-CC) was used as a replication cohort.MethodsThe SOS reference study comprises 1135 subjects (46.2% men), with an average age of 49.5 years. The MDC-CC includes 5451 successfully genotyped subjects (41.5% men), with an average age of 57.5 years. GHR d3/fl genotypes were determined using TagSNP rs6873545. Linear regression analyses were used to test for genotype–phenotype associations.ResultsIn the SOS reference study, subjects homozygous for the d3-GHR weighed ∼4 kg more (P=0.011), and had larger waist-to-hip ratio (WHR, P=0.036), larger waist circumference (P=0.016), and more fat-free mass estimated from total body potassium (P=0.026) than grouped fl/d3 and fl/fl subjects (d3-recessive genetic model). The association with WHR was replicated in the MDC-CC (P=0.002), but not those with other anthropometric traits.ConclusionsIn this population-based study, the GHR d3/fl polymorphism was found to be of functional relevance and associated with central adiposity, such that subjects homozygous for the d3-GHR showed an increased abdominal obesity.

Nutrients ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1878 ◽  
Author(s):  
Khaleal Almusaylim ◽  
Maggie Minett ◽  
Teresa Binkley ◽  
Tianna Beare ◽  
Bonny Specker

This study sought to evaluate the associations between changes in glycemic status and changes in total body (TB), trunk, and appendicular fat (FM) and lean mass (LM) in men. A population-based study of men aged 20–66 years at baseline were included in cross-sectional (n = 430) and three-year longitudinal (n = 411) analyses. Prediabetes was defined as fasting glucose 100–125 mg/dL. Type 2 diabetes (T2D) was determined by: self-reported diabetes, current anti-diabetic drug use (insulin/oral hypoglycemic agents), fasting glucose (≥126 mg/dL), or non-fasting glucose (≥200 mg/dL). Body composition was evaluated by dual-energy X-ray absorptiometry. Longitudinal analyses showed that changes in TB FM and LM, and appendicular LM differed among glycemic groups. Normoglycemic men who converted to prediabetes lost more TB and appendicular LM than men who remained normoglycemic (all, p < 0.05). Normoglycemic or prediabetic men who developed T2D had a greater loss of TB and appendicular LM than men who remained normoglycemic (both, p < 0.05). T2D men had greater gains in TB FM and greater losses in TB and appendicular LM than men who remained normoglycemic (all, p < 0.05). Dysglycemia is associated with adverse changes in TB and appendicular LM.


2019 ◽  
Vol 104 (7) ◽  
pp. 994-998
Author(s):  
Ritika Mukhija ◽  
Noopur Gupta ◽  
Praveen Vashist ◽  
Radhika Tandon ◽  
Sanjeev K Gupta

ObjectiveTo characterise types of corneal diseases and resulting visual impairment (VI) in a rural North Indian population.DesignCross-sectional, population-based study.MethodsThe Corneal Opacity Rural Epidemiological study included 12 899 participants from 25 random clusters of rural Gurgaon, Haryana, India to determine the prevalence of the corneal disease in the general population. Sociodemographic details, presence and type of corneal morbidity, laterality, VI (presenting visual acuity (PVA) <6/18 in the better eye) and characteristics of corneal opacities were noted.ResultsOverall, 12 113 participants of all ages underwent detailed ophthalmic examination and prevalence of corneal opacity was found to be 3.7% (n=452) with bilateral involvement in 140 participants (31%) during the house-to-house visits. Of the total 571 eyes of 435 patients presenting with corneal opacity at the central clinic, PVA was <3/60 in 166 (29.1%), 3/60 to <6/60 in 14 (2.5%), 6/60 to <6/18 in 164 (28.7%), 6/18 to ≤6/12 in 85 (14.9%) and 6/9 to 6/6 in 142 eyes (24.9%), respectively. Further, there were a total of 115 eyes (20.1%) with nebular corneal opacity, 263 (46.1%) with macular, 162 (28.4%) with leucomatous and 31 (5.4%) with an adherent leucoma. The odds of having VI due to corneal disease were greater for the illiterate (OR:4.26; 95% CI: 2.88 to 6.31; p<0.001) and elderly (OR:11.05; 95% CI: 7.76 to 15.74; p<0.001).ConclusionThe data from this study give an insight into the characteristics of various corneal pathologies and resulting VI in the general population. This is a pioneer study involving all age groups on the burden of VI due to corneal diseases.


2009 ◽  
Vol 212 (3) ◽  
pp. 298-309 ◽  
Author(s):  
Birgitta Kütting ◽  
Thomas Göen ◽  
Ursula Schwegler ◽  
Hermann Fromme ◽  
Wolfgang Uter ◽  
...  

2014 ◽  
Vol 18 (9) ◽  
pp. 1223-1230 ◽  
Author(s):  
O. van Hecke ◽  
N. Torrance ◽  
L. Cochrane ◽  
J. Cavanagh ◽  
P.T. Donnan ◽  
...  

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5706-5706
Author(s):  
Marianna Thordardottir ◽  
Sigrun Helga Lund ◽  
Ebba K Lindqvist ◽  
Rene Costello ◽  
Debra Burton ◽  
...  

Abstract Background Nearly all multiple myelomas (MM) are preceded by the premalignant state, monoclonal gammopathy of undetermined significance (MGUS), an asymptomatic condition that needs no treatment. The etiology of MGUS and MM is to a large extent unknown. Two studies on the association between obesity and MGUS have been conducted with conflicting results, despite a reported association between obesity and MM. The aim of this study was to determine if obesity is associated with an increased risk of MGUS and light-chain MGUS (LC-MGUS) in a population-based screened cohort of individuals above the age of 65 years using extensive number of markers for current and early life obesity. Methods This study was based on participants from the Age, Gene/Environment Susceptibility – Reykjavik Study (AGES-RS), which is a continuation of the Reykjavik Study, a population-based study performed by the Icelandic Heart Association. In 1967, the Reykjavik Study began recruiting a sample of over 30,000 residents of Reykjavik from the 1907-1935 birth cohorts. In 2002, the AGES-RS began recruiting 5,764 of the surviving members. Serum protein electrophoresis (SPEP) and serum free light-chain assay were performed on all subjects. Obesity measures were performed at baseline, and participants were additionally asked about their weight at the age of 25 years. The measures at baseline included were weight (kg), body mass index (BMI) (kg/m2), percent body fat, fat (kg), and fat-free mass (kg) from bioimpedance, total body fat area (cm2), visceral and subcutaneous fat area (cm2), and waist circumference (cm). The association with MGUS and LC-MGUS was analyzed using logistic regression and adjustment was made for age and sex. Cox proportional-hazard regression was performed to test whether obesity was a risk factor for progression from MGUS to MM and lymphoproliferative diseases. Results A total of 304 (5.3%) MGUS cases and 118 participants (2.1%) with LC-MGUS were identified. No association was found between any of the obesity markers and MGUS (Table). A statistically significant positive association was found between obesity (BMI ≥ 30 kg/m2) at study baseline and LC-MGUS (Table). Weak but statistically significant association was found between LC-MGUS and BMI at baseline, weight, max weight, percent body fat, fat in kg, fat-free mass, and waist circumference (Table). No association was found on risk of MGUS using joint effect of early adulthood BMI and BMI at study entry. Analysis on the effect of the obesity markers on the progression from MGUS to MM and lymphoproliferative diseases showed no association. Conclusion In this large population-based cross-sectional study aimed at evaluating the association between obesity and MGUS and LC-MGUS, we found obesity (BMI ≥ 30 kg/m2) to be associated with 2-fold excess risk for LC-MGUS. An association was additionally found between several of the obesity markers used and LC-MGUS. Future studies are needed to clarify underlying mechanisms for this finding. However, we did not find an association between any of the obesity markers and MGUS. Taken together, we were unable to confirm the previously reported association between MGUS and obesity. Abstract 5706. Table: Obesity and risk of MGUS or light-chain MGUS (LC-MGUS) No MGUS MGUS LC-MGUS No MGUS vs. MGUS OR* (95%CI) No MGUS vs. LC MGUS OR* (95%CI) BMI (n) <25 1783 102 26 Reference Reference 25-30 2286 147 55 1.15 (0.88 - 1.50) 1.55 (0.97 - 2.49) ≥30 1176 51 34 0.85 (0.60 - 1.20) 2.12 (1.26 - 3.58) BMI 25y (n) <25 3949 220 83 Reference Reference ≥25 809 44 25 0.87 (0.62-1.22) 1.13 (0.71-1.79) BMI (kg/m2) 27.0 26.7 28.3 1.00 (0.97 - 1.02) 1.07 (1.03 - 1.12) BMI 25y (kg/m2) 22.8 22.9 22.9 0.99 (0.94 - 1.04) 0.93 (0.86 - 1.01) Weight (kg) 75.2 75.3 84.1 1.00 (0.99 - 1.01) 1.03 (1.02 - 1.04) Max weight (kg) 80.6 82.3 89.1 1.00 (0.99 - 1.01) 1.02 (1.01 - 1.03) Percent body fat (%) 28.9 26.8 27.2 0.99 (0.97 - 1.02) 1.04 (1.01 - 1.07) Fat (kg) 21.9 20.5 22.7 1.00 (0.98 - 1.02) 1.04 (1.01 - 1.07) Fat free mass (kg) 53.4 55.4 60.3 1.00 (0.98 - 1.02) 1.04 (1.01 - 1.07) Total body fat area (cm2) 493.1 481.8 543.2 1.00 (1.00 - 1.00) 1.00 (1.00 - 1.00) Visceral fat area (cm2) 171.8 174.4 209.4 1.00 (1.00 - 1.00) 1.00 (1.00 - 1.00) Subcutaneous fat area (cm2) 256.3 241.6 260.1 1.00 (1.00 - 1.00) 1.00 (1.00 - 1.00) CT waist circumference (cm) 125.7 125.7 131.1 1.00 (0.99 - 1.01) 1.03 (1.01 - 1.04) Waist circumference (cm) 100.7 100.8 105.6 1.00 (0.99 - 1.01) 1.03 (1.01 - 1.05) *Adjusted for age and sex Disclosures No relevant conflicts of interest to declare.


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