scholarly journals Association of Nerve Conduction Velocity with Total Body Fat Mass and Body Mass Index in Type 2 Diabetes Mellitus

2020 ◽  
Author(s):  
Faique Rahman ◽  
Anwar Hasan Siddiqui ◽  
Sangeeta Singhal ◽  
Hamid Ashraf ◽  
Ahmad Faraz
Keyword(s):  
Type 2 Diabetes ◽  
Conduction Velocity ◽  
Negative Correlation ◽  
Nerve Conduction ◽  
Sensory Nerve ◽  
Significant Negative Correlation ◽  
Posterior Tibial ◽  
Total Body Fat ◽  
Total Body

Introduction: There is a close association between obesity and type 2 diabetes as well as its complications. Obesity related changes in nerve conduction assume paramount importance in diabetic patients where the nerve functions are already compromised by other metabolic derangements. Aim: To study any existing correlation of the Nerve Conduction Velocity (NCV) with the Total Body Fat Mass (TBFM) and Body Mass Index (BMI) and to identify which is a better predictor of NCV impairment in type 2 diabetics. Materials and Methods: A prospective, cross-sectional study was conducted during April 2018-January 2019 in 90 patients with confirmed diagnosis of Diabetes type 2 of recent onset or not more than 8 years and age between 30 to 60 years. NCV was measured in both upper and lower limbs. Median, ulnar, and posterior tibial nerves were selected for motor nerve conduction study and median, Ulnar and sural nerves were selected for sensory nerve conduction study. Bioelectric Impedance Analysis (BIA) was used to find the TBFM. The correlation of TBFM and BMI with the NCV was assessed by using Pearson’s coefficient of linear correlation. Results: Both BMI and TBFM showed negative correlation with the motor and sensory NCV of both sides of the body. BMI had a significant negative correlation with conduction velocity of two sensory nerve viz., right median (r=-0.388) and left sural (r=-0.356) and two motor nerves viz., right median (r=-0.483) and right posterior tibial (r=-0.305) only. However, the TBFM showed a significant negative correlation with the motor conduction velocity of four motor viz., right median (r=-0.602), right posterior tibial (r=-0.455), left median (r=-0.483) and left posterior tibial (r=-0.288) and four sensory nerves viz., right median (r=-0.411), right sural (r=-0.435), left median (r=-0.461) and left sural (r=-0.408). Conclusion: TBFM as assessed by BIA analysis shows a stronger correlation with the NCV as compared to the BMI and should be used clinically along with electrophysiological studies for the risk factor stratification of diabetic peripheral neuropathy in type 2 diabetes patients.

scholarly journals The Relationship between Peripheral Nerve Conduction Velocity and Ophthalmological Findings in Type 2 Diabetes Patients with Early Diabetic Retinopathy

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Azusa Ito ◽  
Hiroshi Kunikata ◽  
Masayuki Yasuda ◽  
Shojiro Sawada ◽  
Keiichi Kondo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Retinopathy ◽  
Conduction Velocity ◽  
Nerve Conduction ◽  
Nerve Conduction Velocity ◽  
Neuronal Damage ◽  
Intima Media Thickness ◽  
Clinical Findings ◽  
Diabetes Patients

Purpose. Nerve conduction velocity (NCV) is an indicator of neuronal damage in the distal segment of the peripheral nerves. Here, we determined the association between NCV and other systemic and ocular clinical findings, in type 2 diabetes patients with early diabetic retinopathy (DR). Methods. This study included 42 eyes of 42 type 2 diabetes patients (median age: 54 years) with no DR or with mild nonproliferative DR. Standard statistical techniques were used to determine associations between clinical findings. Results. Sural sensory conduction velocity (SCV) and tibial motor conduction velocity (MCV) were significantly lower in mild nonproliferative DR patients than patients with no DR (P=0.008 and P=0.01, resp.). Furthermore, logistic regression analyses revealed that sural SCV and tibial MCV were independent factors contributing to the presence of mild nonproliferative DR (OR 0.83, P=0.012 and OR 0.69 P=0.02, resp.). Tibial MCV was correlated with choroidal thickness (CT) (P=0.01), and a multiple regression analysis revealed that age, tibial MCV, and carotid intima-media thickness were independent associating factors with CT (P=0.035, P=0.015, and P=0.008, resp.). Conclusions. Our findings suggest that reduced NCV may be closely associated with early DR in type 2 diabetes patients. Thus, reduced nerve conduction is a potential early biomarker of DR.

scholarly journals MON-382 Bone Quality and Strength in Obese Men with Type 2 Diabetes Mellitus Are Impaired and Negatively Influenced by Adiposity

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Francesca Vigevano ◽  
Rui Chen ◽  
Georgia Colleluori ◽  
Vimlin Auetumrongsawat ◽  
Giulia Gregori ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Bone Strength ◽  
Bone Quality ◽  
Free Testosterone ◽  
Group Model ◽  
Total Body Fat ◽  
Total Body ◽  
Free Estradiol

Abstract Background: Obesity and type 2 diabetes mellitus (T2DM) are both associated with normal to above average bone mineral density (BMD) but increased risk of fragility fractures. The impact of T2DM on bone mechanical and microarchitectural features in the obese population is unknown. We hypothesize that obese diabetics have lower bone quality compared to obese nondiabetic individuals. In this study, we investigated the microarchitectural features and mechanical properties of bone of obese men with and without T2DM along with the independent predictors of bone strength. Methods: Ninety-seven obese men (BMI >30) aged 35-65 years-old of which 38 had T2DM were included in the analysis. BMD and body composition were evaluated by DXA and bone microarchitecture of the tibia by high-resolution peripheral quantitative computed tomography. Bone strength was assessed by micro finite element analysis-derived parameters as failure load (f. load) and stiffness. Serum testosterone and estradiol were measured by LC-MS. Serum SHBG, osteocalcin (OCN), C-telopeptide (CTx) and sclerostin (SCL) were measured by ELISA. Results: OCN is lower in obese men with T2DM compared to those without T2DM (4.8 ± 2.8 vs 6.2 ± 2.6 ng/mL p=0.03, respectively), with also a trend for reduced CTx and SCL in the former. BMD at all sites was reduced in obese men with T2DM, but there were no differences in body composition. Obese diabetics also had lower tibial total volumetric BMD (vBMD) (p=0.04) and trabecular vBMD (p=0.01) with greater trabecular spacing (p=0.005). F. load (13.3 ± 2.1 vs 14.5 ± 2.3 kN, p= 0.02) and stiffness (24.7± 4.2 vs 27 ± 4.6 kN/mm, p=0.02) were reduced in men with T2DM relative to men without T2DM, respectively. F. load and stiffness were positively correlated with BMD at all sites, fat free mass (FFM), lean mass, free testosterone, free estradiol and SCL, but negatively correlated with % total body fat and visceral adipose tissue (VAT). FFM, BMD of the total hip, femoral neck and lumbar spine and free testosterone were significant independent predictors of bone strength in the entire group (model: R2: 65.01 p< 0.0001 for f. load and model: R2:63.21 p < 0.0001 for stiffness), whereas age and lumbar spine BMD were found to be independent predictors of bone strength in the non-diabetic group (model R2: 54.6 p< 0.0001 for both f. load and stiffness). Analysis limited to the diabetic subgroup showed that BMD at the femoral neck and total hip, % total body fat, VAT volume, SCL and free estradiol were independent predictors of bone strength (model: R2: 88.4 and p< 0.0001 for f. load and model: R2: 85.3 and p<0.0001 for stiffness). Interleukin-6 was comparable between groups. Conclusions: Obese men with T2DM have lower bone formation and impaired bone quality and strength compared to those without T2DM. In addition to BMD and gonadal hormones, adiposity is an important predictor of bone strength in obese men with T2DM.

scholarly journals Thr394Thr polymorphism of PPARGC1A gene is associated with Type 2 diabetes and total body fat in Asian Indians

2006 ◽  
Vol 31 (3) ◽  
pp. 563-563 ◽  
Author(s):  
K S Vimaleswaran ◽  
V Radha ◽  
M Anjana ◽  
R Deepa ◽  
S Ghosh ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Fat ◽  
Asian Indians ◽  
Total Body Fat ◽  
Total Body
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