scholarly journals Haplotypes in theCRPGene Associated with Increased BMI and Levels of CRP in Subjects with Type 2 Diabetes or Obesity from Southwestern Mexico

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
América Martínez-Calleja ◽  
Irma Quiróz-Vargas ◽  
Isela Parra-Rojas ◽  
José Francisco Muñoz-Valle ◽  
Marco A. Leyva-Vázquez ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Body Mass ◽  
Risk Score ◽  
Blood Levels ◽  
Reactive Protein ◽  
Pcr Rflp

Objective. We evaluated the association between four polymorphisms in theCRPgene with circulating levels of C-reactive protein (CRP), type 2 diabetes (T2D), obesity, and risk score of coronary heart disease.Methods. We studied 402 individuals and classified them into four groups: healthy, obese, T2D obese, and T2D without obesity, from Guerrero, Southwestern Mexico. Blood levels of CRP, glucose, cholesterol, triglycerides, and leukocytes were measured. Genotyping was performed by PCR/RFLP, and the risk score for coronary heart disease was determined by the Framingham's methodology.Results. The TT genotype of SNP rs1130864 was associated with increased body mass index and T2D patients with obesity. We found that the haplotype 2 (TGAG) was associated with increased levels of CRP (β=0.3; 95%CI: 0.1, 0.5;P=0.005) and haplotype 7 (TGGG) with higher body mass index (BMI) (β=0.2; 95%CI: 0.1, 0.3;P<0.001). The risk score for coronary heart disease was associated with increased levels of CRP, but not with any polymorphism or haplotype.Conclusions. The association between the TT genotype of SNP rs1130864 with obesity and the haplotype 7 with BMI may explain how obesity and genetic predisposition increase the risk of diseases such as T2D in the population of Southwestern Mexico.

scholarly journals A risk score including body mass index, glycated haemoglobin and triglycerides predicts future glycaemic control in people with type 2 diabetes

2017 ◽  
Vol 20 (3) ◽  
pp. 681-688 ◽  
Author(s):  
Dorijn F. L. Hertroijs ◽  
Arianne M. J. Elissen ◽  
Martijn C. G. J. Brouwers ◽  
Nicolaas C. Schaper ◽  
Sebastian Köhler ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Glycaemic Control ◽  
Body Mass ◽  
Risk Score ◽  
Glycated Haemoglobin

scholarly journals C-Reactive Protein and Body Mass Index in Patients with Type -2 Diabetes Mellitus and Diabetic Retinopathy

2013 ◽  
Vol 20 (2) ◽  
pp. 127-133
Author(s):  
Valeria Mocanu ◽  
Romulus Timar ◽  
Raluca Horhat ◽  
Adina Bucur ◽  
Viorel Şerban
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Diabetic Retinopathy ◽  
Body Mass ◽  
The Body ◽  
Fundus Examination ◽  
C Reactive Protein ◽  
Reactive Protein

AbstractBackground and aims: C-reactive protein (CRP) is an inflammatory biomarker that may be associated with diabetic retinopathy (DR). The body mass index (BMI) is an important element, frequently evaluated in patients with diabetes mellitus. The purpose of this study was to determine the relationship between CRP, BMI and existing DR in type 2 diabetes (T2DM) subjects. Material and method: Thirty T2DM patients aged 35-50 were subjected to a general, ophthalmologic and fundus examination. Results: 9 of the 30 patients (30%) didn’t presented changes in the fundus examination. 15 (50%) presented minor retinal changes while 6 (20%) were diagnosed with DR: one case of nonproliferative diabetic retinopathy, 2 cases of preproliferative DR and 3 cases of proliferative DR. In patients with normal fundus examination and minor retinal changes, CRP was positive in the majority of the cases (95.8%). CRP was positive in only one patient in the group with diagnosed DR. BMI was increased in 85.71% of the patients with retinal changes: angiosclerosis or DR and in only 22.22% of the patients without retinal changes. Conclusions: Lower CRP and higher BMI were associated with higher prevalence of DR.

scholarly journals Body Mass Index and Birth Weight Improve Polygenic Risk Score for Type 2 Diabetes

2021 ◽  
Vol 11 (6) ◽  
pp. 582
Author(s):  
Avigail Moldovan ◽  
Yedael Y. Waldman ◽  
Nadav Brandes ◽  
Michal Linial
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Birth Weight ◽  
Body Mass ◽  
Risk Score ◽  
Early Life ◽  
Integrated Approach ◽  
Polygenic Risk Score ◽  
Polygenic Risk

One of the major challenges in the post-genomic era is elucidating the genetic basis of human diseases. In recent years, studies have shown that polygenic risk scores (PRS), based on aggregated information from millions of variants across the human genome, can estimate individual risk for common diseases. In practice, the current medical practice still predominantly relies on physiological and clinical indicators to assess personal disease risk. For example, caregivers mark individuals with high body mass index (BMI) as having an increased risk to develop type 2 diabetes (T2D). An important question is whether combining PRS with clinical metrics can increase the power of disease prediction in particular from early life. In this work we examined this question, focusing on T2D. We present here a sex-specific integrated approach that combines PRS with additional measurements and age to define a new risk score. We show that such approach combining adult BMI and PRS achieves considerably better prediction than each of the measures on unrelated Caucasians in the UK Biobank (UKB, n = 290,584). Likewise, integrating PRS with self-reports on birth weight (n = 172,239) and comparative body size at age ten (n = 287,203) also substantially enhance prediction as compared to each of its components. While the integration of PRS with BMI achieved better results as compared to the other measurements, the latter are early-life measurements that can be integrated already at childhood, to allow preemptive intervention for those at high risk to develop T2D. Our integrated approach can be easily generalized to other diseases, with the relevant early-life measurements.

2496-PUB: Effect of Body Mass Index on HbA1c, Blood Pressure, and Cholesterol (ABC) Control in Patients with Type 2 Diabetes from Tibet in China

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2496-PUB
Author(s):  
ZHANG CHENGHUI ◽  
LI MINGXIA ◽  
WANG SUYUAN ◽  
WU YUNHONG
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass
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