Analysis of the relationship between body mass index, insulin resistance, and beta-cell function: A cross-sectional study using the minimal model

García-Estévez, D A; Araújo‐Vilar, David; Saavedra, Ángeles; Fiestras-Janeiro, M. Gloria; Cabezas-Cerrato, J

doi:10.1016/j.metabol.2004.06.014

Cited by 36 publications

(33 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is worth noting that S I and CS I provided similar results in both cases. Insulin sensitivity was higher in lean than in overweight or obese participants with both indices, which also showed a nonlinear inverse relationship (though weak) with BMI, in agreement with previous studies [33]. As regards the effect of sex on insulin sensitivity, results from S I and CS I were again similar and in agreement with previous studies [34].…”

Section: Discussionsupporting

confidence: 91%

An empirical index of insulin sensitivity from short IVGTT: validation against the minimal model and glucose clamp indices in patients with different clinical characteristics

et al. 2009

View full text Add to dashboard Cite

Aims/hypothesis Minimal model analysis for insulin sensitivity has been validated against the glucose clamp and is an accepted method for estimating insulin sensitivity from IVGTT. However minimal model analysis requires a 3 h test and relevant expertise to run the mathematical model. The aim of this study was to suggest a simple predictor of minimal model analysis index using only 1 h IVGTT. Methods We studied participants with different clinical characteristics who underwent 3 h regular (n=336) or insulin-modified (n=160) IVGTT, or 1 h IVGTT and euglycaemic-hyperinsulinaemic clamp (n=247). Measures of insulin sensitivity were insulin sensitivity index estimated by minimal model analysis (S I ) and the mean glucose infusion rate (clamp) (M). A calculated S I (CS I ) predictor,, was suggested, based on the calculation of the rate of glucose disappearance K G and the suprabasal AUC of insulin concentration ΔAUC INS over T=40 min. For all the participants, a was assumed equal to the regression line slope between K G /(ΔAUC INS /T) and S I in control participants. Results CS I and S I showed high correlation (R 2 =0.68-0.96) and regression line slopes of approximately one in the majority of groups. CS I tended to overestimate S I in type 2 diabetic participants, but results were more reliable when CS I was computed with insulin-modified rather than regular IVGTT. CS I showed behaviours similar to S I as regards relationships with BMI, acute insulin response and sex. CS I showed good correlation with M (R 2 =0.82). Conclusions/interpretation A short test can achieve a good approximation of minimal model analysis and clamp insulin sensitivity. The importance of a method such as CS I is that it allows analysis of IVGTT datasets with samples limited to 1 h.

show abstract

Section: Discussionsupporting

confidence: 91%

An empirical index of insulin sensitivity from short IVGTT: validation against the minimal model and glucose clamp indices in patients with different clinical characteristics

et al. 2009

View full text Add to dashboard Cite

show abstract

“…However, also for patients, a more specific insight into the potential influence of body composition on urinary pH is required, especially concerning the contribution of increasing insulin resistance which is closely associated with the severity of obesity (Garca-Estevez et al, 2004;Taylor et al, 2005a). Overall, the findings in patients with nephrolithiasis and our findings in healthy young adults and elderly underline that increased adiposity may be involved in urine pH decrease.…”

Section: Discussionmentioning

confidence: 59%

Muscularity and adiposity in addition to net acid excretion as predictors of 24-h urinary pH in young adults and elderly

Berkemeyer

Rylander

Vormann³

2006

Eur J Clin Nutr

View full text Add to dashboard Cite

Objective: In patients with nephrolithiasis, an inverse relationship between 24-h urinary pH (24h-UpH) and body weight has been reported. Whether body composition indices and 24h-UpH are similarly associated in healthy subjects needs investigation. Design: Cross-sectional, retrospective analysis. Setting: Dortmund, Germany and Gothenburg, Sweden. Subjects: Healthy young adults (18-23 years; n ¼ 117) and elderly (55-75years; n ¼ 85) having a mean body mass index (BMI) of 22.8073.4 and 25.373.9 kg/m 2 , respectively. Methods: Anthropometric data, 24h-UpH, and 24-h urinary excretion rates of net acid (NAE), creatinine, and urea were determined. After adjusting for urea (reflecting protein intake), renal creatinine output was used as a biochemical marker for muscularity. The BMI served as a marker of adiposity. Results: NAE, body weight, and BMI were significantly (Po0.05) higher, and height and creatinine significantly lower in the elderly, whereas body-surface area (BSA) was not different.Step-wise multiple regression analysis using BSA-corrected urinary variables revealed NAE as the primary predictor of 24h-UpH (with R 2 values of 0.64 and 0.68 in young adults and elderly, respectively, Po0.0001), followed by urea (Po0.0001), creatinine (Po0.05), and BMI (Po0.05 for the young adults and P ¼ 0.12 for the elderly). These associations were negative for NAE and BMI, and positive for urea and creatinine. Conclusions: Muscularity (i.e. creatinine adjusted for urea) and particularly in the group of young adults, adiposity (i.e. BMI) proved to be modest, but significant predictors of 24h-UpH. Future research should focus on more obese subjects in whom insulin resistance and particular kidney functions should also be examined to further substantiate the role of obesity in low-urine pH-associated conditions, for example, nephrolithiasis.

show abstract

“…This contribution could have been mediated through dysfunction in insulin metabolism in overweight participants because BMI is inversely correlated with insulin sensitivity in healthy individuals (30). Moreover, high BMI is associated with reduced insulin sensitivity and higher insulin secretion in humans (31).…”

Section: Discussionmentioning

confidence: 99%

Interaction between BMI and APOE genotype is associated with changes in the plasma long-chain–PUFA response to a fish-oil supplement in healthy participants

Chouinard‐Watkins

Conway

Minihane

et al. 2015

The American Journal of Clinical Nutrition

View full text Add to dashboard Cite

show abstract

Analysis of the relationship between body mass index, insulin resistance, and beta-cell function: A cross-sectional study using the minimal model

Cited by 36 publications

References 22 publications

An empirical index of insulin sensitivity from short IVGTT: validation against the minimal model and glucose clamp indices in patients with different clinical characteristics

An empirical index of insulin sensitivity from short IVGTT: validation against the minimal model and glucose clamp indices in patients with different clinical characteristics

Muscularity and adiposity in addition to net acid excretion as predictors of 24-h urinary pH in young adults and elderly

Interaction between BMI and APOE genotype is associated with changes in the plasma long-chain–PUFA response to a fish-oil supplement in healthy participants

Contact Info

Product

Resources

About