Bio

Clinical Focus


  • Obesity
  • Endocrinology
  • Type 2 Diabetes Mellitus
  • Diabetes andMetabolism

Academic Appointments


Honors & Awards


  • Career Development Award, NIH/NIMH (2007)

Professional Education


  • Board Certification: Endocrinology, Diabetes andMetabolism, American Board of Internal Medicine (2006)
  • Medical Education:UC San Diego School of Medicine (1998) CA
  • Fellowship:Stanford University Medical Center (2007) CA
  • Residency:University of Texas Southwestern Medical Center (2001) TX
  • M.S., Stanford University, Epidemiology (2007)
  • M.D., U.C. San Diego, Medicine (1998)
  • B.A., Stanford University, Psychology (1993)

Research & Scholarship

Current Research and Scholarly Interests


We are interested in studying the pathophysiological processes that contribute to glucose intolerance and type 2 diabetes mellitus. My current research focuses on characterizing pancreatic beta-cell function in populations with significant insulin resistance and vulnerability to developing diabetes: individuals with schizophrenia, morbid obesity, and history of gestational diabetes.

Teaching

2013-14 Courses


Graduate and Fellowship Programs


Publications

Journal Articles


  • Pancreatic beta cell function following liraglutide-augmented weight loss in individuals with prediabetes: analysis of a randomised, placebo-controlled study. Diabetologia Kim, S. H., Liu, A., Ariel, D., Abbasi, F., Lamendola, C., Grove, K., Tomasso, V., Reaven, G. 2014; 57 (3): 455-462

    Abstract

    Liraglutide can modulate insulin secretion by directly stimulating beta cells or indirectly through weight loss and enhanced insulin sensitivity. Recently, we showed that liraglutide treatment in overweight individuals with prediabetes (impaired fasting glucose and/or impaired glucose tolerance) led to greater weight loss (-7.7% vs -3.9%) and improvement in insulin resistance compared with placebo. The current study evaluates the effects on beta cell function of weight loss augmented by liraglutide compared with weight loss alone.This was a parallel, randomised study conducted in a single academic centre. Both participants and study administrators were blinded to treatment assignment. Individuals who were 40-70 years old, overweight (BMI 27-40 kg/m(2)) and with prediabetes were randomised (via a computerised system) to receive liraglutide (n = 35) or matching placebo (n = 33), and 49 participants were analysed. All were instructed to follow an energy-restricted diet. Primary outcome was insulin secretory function, which was evaluated in response to graded infusions of glucose and day-long mixed meals.Liraglutide treatment (n = 24) significantly (p ≤ 0.03) increased the insulin secretion rate (% mean change [95% CI]; 21% [12, 31] vs -4% [-11, 3]) and pancreatic beta cell sensitivity to intravenous glucose (229% [161, 276] vs -0.5% (-15, 14]), and decreased insulin clearance rate (-3.5% [-11, 4] vs 8.2 [0.2, 16]) as compared with placebo (n = 25). The liraglutide-treated group also had significantly (p ≤ 0.03) lower day-long glucose (-8.2% [-11, -6] vs -0.1 [-3, 2]) and NEFA concentrations (-14 [-20, -8] vs -2.1 [-10, 6]) following mixed meals, whereas day-long insulin concentrations did not significantly differ as compared with placebo. In a multivariate regression analysis, weight loss was associated with a decrease in insulin secretion rate and day-long glucose and insulin concentrations in the placebo group (p ≤ 0.05), but there was no association with weight loss in the liraglutide group. The most common side effect of liraglutide was nausea.A direct stimulatory effect on beta cell function was the predominant change in liraglutide-augmented weight loss. These changes appear to be independent of weight loss.ClinicalTrials.gov NCT01784965 FUNDING: The study was funded by the ADA.

    View details for DOI 10.1007/s00125-013-3134-3

    View details for PubMedID 24326527

  • Sex differences in insulin resistance and cardiovascular disease risk. journal of clinical endocrinology and metabolism Kim, S. H., Reaven, G. 2013; 98 (11): E1716-21

    Abstract

    The possibility that differences in insulin sensitivity explain why women, especially younger women, have a lower cardiovascular disease (CVD) risk than men remains an unsettled issue.The objective of this study was to evaluate whether sex disparities in CVD risk are associated with differences in insulin resistance.This was a cross-sectional study of women (n = 468) and men (n = 354) who had the measurement of CVD risk factors and steady-state plasma glucose (SSPG) concentration (insulin resistance) using the insulin suppression test. The population was also divided by median age (51 y) to evaluate the effect of age on sex differences. MAIN OUTCOME MEASURES/RESULTS: In general, the SSPG concentration was similar between sexes. At higher BMI (≥30 kg/m(2)), women had significantly lower SSPG concentration than men (sex × BMI interaction, P = .001). However, sex differences in CVD risk factors were not due to differences in SSPG but accentuated by a higher degree of insulin resistance in younger (age < 51 y) but not older (≥ 51 y) individuals. In younger individuals, women had significantly (P ≤ .007) lower diastolic blood pressure and fasting glucose and triglyceride concentration compared with men in SSPG tertile 3 (most insulin resistant) but not in tertile 1 (least insulin resistant). Older women had lower diastolic blood pressure compared with men, regardless of SSPG. High-density lipoprotein cholesterol remained higher in women, regardless of age or SSPG.The female advantage is not due to a difference in insulin action but results from an attenuation of the relationship between insulin resistance and CVD risk, especially in younger individuals.

    View details for DOI 10.1210/jc.2013-1166

    View details for PubMedID 24064694

  • Benefits of liraglutide treatment in overweight and obese older individuals with prediabetes. Diabetes care Kim, S. H., Abbasi, F., Lamendola, C., Liu, A., Ariel, D., Schaaf, P., Grove, K., Tomasso, V., Ochoa, H., Liu, Y. V., Chen, Y. I., Reaven, G. 2013; 36 (10): 3276-3282

    Abstract

    OBJECTIVEThe aim was to evaluate the ability of liraglutide to augment weight loss and improve insulin resistance, cardiovascular disease (CVD) risk factors, and inflammation in a high-risk population for type 2 diabetes (T2DM) and CVD.RESEARCH DESIGN AND METHODSWe randomized 68 older individuals (mean age, 58 ± 8 years) with overweight/obesity and prediabetes to this double-blind study of liraglutide 1.8 mg versus placebo for 14 weeks. All subjects were advised to decrease calorie intake by 500 kcal/day. Peripheral insulin resistance was quantified by measuring the steady-state plasma glucose (SSPG) concentration during the insulin suppression test. Traditional CVD risk factors and inflammatory markers also were assessed.RESULTSEleven out of 35 individuals (31%) assigned to liraglutide discontinued the study compared with 6 out of 33 (18%) assigned to placebo (P = 0.26). Subjects who continued to use liraglutide (n = 24) lost twice as much weight as those using placebo (n = 27; 6.8 vs. 3.3 kg; P < 0.001). Liraglutide-treated subjects also had a significant improvement in SSPG concentration (-3.2 vs. 0.2 mmol/L; P < 0.001) and significantly (P ≤ 0.04) greater lowering of systolic blood pressure (-8.1 vs. -2.6 mmHg), fasting glucose (-0.5 vs. 0 mmol/L), and triglyceride (-0.4 vs. -0.1 mmol/L) concentration. Inflammatory markers did not differ between the two groups, but pulse increased after liraglutide treatment (6.4 vs. -0.9 bpm; P = 0.001).CONCLUSIONSThe addition of liraglutide to calorie restriction significantly augmented weight loss and improved insulin resistance, systolic blood pressure, glucose, and triglyceride concentration in this population at high risk for development of T2DM and CVD.

    View details for DOI 10.2337/dc13-0354

    View details for PubMedID 23835684

  • Beyond fasting plasma glucose: The association between coronary heart disease risk and postprandial glucose, postprandial insulin and insulin resistance in healthy, nondiabetic adults. Metabolism: clinical and experimental Bhat, S. L., Abbasi, F. A., Blasey, C., Reaven, G. M., Kim, S. H. 2013; 62 (9): 1223-1226

    Abstract

    Prediabetes is defined by elevations of plasma glucose concentration, and is aimed at identifying individuals at increased risk of type 2 diabetes and coronary heart disease (CHD). However, since these individuals are also insulin resistant and hyperinsulinemic, we evaluated the association between several facets of carbohydrate metabolism and CHD risk profile in apparently healthy, nondiabetic individuals.Plasma glucose and insulin concentrations were measured before and at hourly intervals for eight hours after two test meals in 281 nondiabetic individuals. Insulin action was quantified by determining the steady-state plasma glucose (SSPG) concentration during the insulin suppression test. CHD risk was assessed by measurements of blood pressure and fasting lipoprotein profile.For purposes of analysis, the population was divided into tertiles, and the results demonstrated that the greater the 1) fasting plasma glucose (FPG) concentration, 2) incremental plasma insulin response to meals, and 3) SSPG concentration, the more adverse the CHD risk profile (p<0.05). In contrast, the CHD risk profile did not significantly worsen with increases in the incremental plasma glucose response to meals.In nondiabetic individuals, higher FPG concentrations, accentuated daylong incremental insulin responses to meals, and greater degrees of insulin resistance are each associated with worse CHD risk profile (higher blood pressures, higher triglycerides, and lower high density lipoprotein cholesterol concentrations). Interventional efforts aimed at decreasing CHD in such individuals should take these abnormalities into consideration.

    View details for DOI 10.1016/j.metabol.2013.04.012

    View details for PubMedID 23809477

  • Relationship between Insulin Resistance and Coronary Artery Calcium in Young Men and Women PLOS ONE Sung, K., Choi, J., Gwon, H., Choi, S., Kim, B., Kwag, H. J., Kim, S. H. 2013; 8 (1)

    Abstract

    The gender disparity in cardiovascular disease (CVD) risk is greatest between young men and women. However, the causes of that are not fully understood. The objective of this study was to evaluate the relationship between insulin resistance and the presence of coronary artery calcium (CAC) to identify risk factors that may predispose young men and women to CVD.Insulin resistance and CVD risk factors were examined in 8682 Korean men and 1829 women aged 30-45 years old. Insulin resistance was estimated using the homeostasis model assessment of insulin resistance (HOMA-IR), and CAC was measured using computed tomography. Women were less likely to be insulin resistant (upper quartile of HOMA-IR, 18% vs. 27%, p<0.001) and had a lower prevalence of CAC (1.6% vs. 6.4%, p<0.001). Even when equally insulin resistant men and women were compared, women continued to have lower prevalence of CAC (3.1% vs. 7.2%, p = 0.004) and a more favorable CVD risk profile. Finally, after adjustment for traditional CVD risk factors, insulin resistance remained an independent predictor of CAC only in men (p = 0.03).Young women have a lower risk for CVD and a lower CAC prevalence compared with men. This favorable CVD risk profile in women appears to occur regardless of insulin sensitivity. Unlike men, insulin resistance was not a predictor of CAC in women in this cohort. Therefore, insulin resistance has less impact on CVD risk and CAC in young women compared with men, and insulin resistance alone does not explain the gender disparity in CVD risk that is observed at an early age.

    View details for DOI 10.1371/journal.pone.0053316

    View details for Web of Science ID 000313682700025

    View details for PubMedID 23341938

  • Metabolic syndrome, insulin resistance and kidney function in non-diabetic individuals NEPHROLOGY DIALYSIS TRANSPLANTATION Johns, B. R., Pao, A. C., Kim, S. H. 2012; 27 (4): 1410-1415

    Abstract

    Metabolic syndrome has been recently identified as a risk factor for chronic kidney disease (CKD). Since the five individual components of the metabolic syndrome have also been identified as risk factors for CKD, the metabolic syndrome diagnosis may represent an aggregate of CKD risk factors. On the other hand, the components of the metabolic syndrome are also associated with insulin resistance, which may directly mediate the increased CKD risk.This study was a cross-sectional evaluation of the relationship between metabolic syndrome, insulin resistance and estimated glomerular filtration rate (eGFR) in 574 non-diabetic individuals. Insulin resistance was directly quantified using the insulin suppression test, and the metabolic syndrome components were measured. eGFR was calculated using the three validated estimation equations: the Chronic Kidney Disease Epidemiology Collaboration equation, the Mayo quadratic equation and the Modification of Diet in Renal Disease study equation.While CKD prevalence was higher and mean eGFR was lower in individuals who met the metabolic syndrome criteria compared with those who did not, we did not observe a significant relationship between insulin resistance and eGFR. Of all of the components of the metabolic syndrome, only hypertension was significantly associated with CKD prevalence [odds ratio (95% confidence interval), 3.5 (1.2-10.1), P=0.02].Although CKD is more common among individuals with the metabolic syndrome, insulin resistance is not a common factor.

    View details for DOI 10.1093/ndt/gfr498

    View details for Web of Science ID 000302310700022

    View details for PubMedID 21908415

  • Measurement of insulin action: a tribute to Sir Harold Himsworth DIABETIC MEDICINE Kim, S. H. 2011; 28 (12): 1487-1493

    Abstract

    Sir Harold Himsworth was a renowned clinician and researcher. Among his myriad of accomplishments, he was the first to differentiate diabetes mellitus into 'insulin-sensitive' and 'insulin-insensitive' forms. To help distinguish these two types, he developed the first test to measure insulin sensitivity, the insulin-glucose test. This article reviews Himsworth's pioneer methods and subsequent advances in the measurement of insulin action. The advantages and limitations of commonly used methods to assess insulin sensitivity are also examined.

    View details for DOI 10.1111/j.1464-5491.2011.03409.x

    View details for Web of Science ID 000297118400009

    View details for PubMedID 21838770

  • Plasma glucose and insulin responses to mixed meals: Impaired fasting glucose re-visited DIABETES & VASCULAR DISEASE RESEARCH BHAT, S. L., Abbasi, F., Blasey, C., Reaven, G. M., Kim, S. H. 2011; 8 (4): 271-275

    Abstract

    In individuals with varying glucose tolerance, glucose and insulin comparisons are usually made based on response to oral glucose challenge. However, an oral glucose tolerance test may not reflect daylong glucose and insulin excursions in response to meals. To better understand individuals with impaired fasting glucose (IFG), we compared insulin action as well as plasma glucose and insulin responses to mixed meals in individuals with normal fasting glucose (NFG; n = 141) and IFG (n = 148) concentrations.Insulin action was quantified by determining steady-state plasma glucose (SSPG) concentrations during the insulin suppression test. Plasma glucose and insulin concentrations were measured before and hourly after two mixed meals.SSPG concentrations were significantly higher in the IFG group (11.8 ± 3.6 vs. 9.1 ± 3.8 mmol/l). Mean hourly daylong glucose (6.4 ± 0.07 vs. 5.5 ± 0.04 mmol/l) and insulin (390 ± 20 vs. 279 ± 15 pmol/l) concentrations were also higher in those with IFG (p < 0.001). Daylong incremental meal-stimulated glucose response, however, was comparable (p = 0.77) in the two groups, whereas the incremental insulin response was 44% higher in the IFG group.Although individuals are currently defined as having IFG based on fasting plasma glucose concentration, our data show that these individuals with IFG also are insulin resistant and have higher daylong insulin concentrations.

    View details for DOI 10.1177/1479164111421036

    View details for Web of Science ID 000296976700004

    View details for PubMedID 21933842

  • Interrelationship between Fatty Liver and Insulin Resistance in the Development of Type 2 Diabetes JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM Sung, K., Kim, S. H. 2011; 96 (4): 1093-1097

    Abstract

    Although fatty liver and insulin resistance are known to be associated, the relationship between the two in the development of type 2 diabetes mellitus (T2DM) is unclear.We investigated the 5-yr risk of developing T2DM in individuals diagnosed with fatty liver using ultrasound and stratified by insulin sensitivity using quartiles of fasting insulin concentration.We examined the clinical and laboratory data of 11,091 Koreans who had a medical evaluation including fasting insulin concentration and abdominal ultrasound at baseline and had a follow-up after 5 yr.At baseline, 27% of the population had fatty liver. Almost half (47%) of the individuals with fatty liver had baseline insulin concentration in the highest quartile compared with 17% in those without fatty liver (P < 0.001). Regardless of baseline insulin concentration, individuals with fatty liver had significantly (P < 0.001) more baseline clinical and metabolic abnormalities, including higher glucose and triglyceride concentration and lower high-density lipoprotein cholesterol concentration. In addition, regardless of baseline insulin concentration, individuals with fatty liver had a significantly increased risk for incident T2DM compared with those without fatty liver [crude odds ratio, 5.05 (95% confidence interval, 2.08-12.29) in the lowest insulin quartile and 6.34 (3.58-11.21) in the highest quartile]. In individuals in the highest insulin quartile, the odds ratio for developing T2DM remained significant even after multivariate adjustment including baseline glucose concentration [2.42 (1.23-4.75)].Although associated with insulin resistance, fatty liver diagnosed by ultrasound appears to independently increase the risk of T2DM.

    View details for DOI 10.1210/jc.2010-2190

    View details for Web of Science ID 000289242800053

    View details for PubMedID 21252243

  • Relationship between insulin resistance and C-reactive protein in a patient population treated with second generation antipsychotic medications INTERNATIONAL CLINICAL PSYCHOPHARMACOLOGY Kim, S. H., Reaven, G., Lindley, S. 2011; 26 (1): 43-47

    Abstract

    C-reactive protein (CRP) is an inflammatory marker associated with obesity, insulin resistance, and cardiovascular disease. A recent study found CRP levels to be higher in individuals treated with certain antipsychotic medications such as olanzapine; however, it is not clear whether this is associated directly with drug intake or indirectly with drug-associated weight gain and insulin resistance. The objective of this study was to explore the potential predictors of CRP including insulin resistance, components of the metabolic syndrome, psychiatric diagnosis, and antipsychotic medication in patients treated with antipsychotics. Sixty-four outpatients without diabetes being treated with a single second generation antipsychotic medication had direct measurements of insulin resistance at the end of a 180-min infusion of glucose, insulin, and octreotide (insulin suppression test) as well as components of the metabolic syndrome. Insulin resistance was the strongest predictor of CRP (r=0.52, P<0.001). When adjusted for insulin resistance, there was no significant relationship between CRP and any of the components of the metabolic syndrome criteria, specific drug treatment or psychiatric diagnoses. In conclusion, insulin resistance is strongly associated with CRP levels and likely contributes to earlier associations between CRP and certain antipsychotic treatments.

    View details for DOI 10.1097/YIC.0b013e3283400cd3

    View details for Web of Science ID 000285083700005

    View details for PubMedID 20861740

  • Obesity and Insulin Resistance: An Ongoing Saga DIABETES Kim, S. H., Reaven, G. 2010; 59 (9): 2105-2106

    View details for DOI 10.2337/db10-0766

    View details for Web of Science ID 000281612000004

    View details for PubMedID 20805385

  • Glucose-Stimulated Insulin Secretion in Gastric Bypass Patients with Hypoglycemic Syndrome: No Evidence for Inappropriate Pancreatic beta-cell Function OBESITY SURGERY Kim, S. H., Abbasi, F., Lamendola, C., Reaven, G. M., McLaughlin, T. 2010; 20 (8): 1110-1116

    Abstract

    Roux-en-Y gastric bypass surgery (RYGB) has been associated with a hypoglycemic syndrome characterized by postprandial hypoglycemia and hyperinsulinemia. The syndrome is believed to occur due to insulin hypersecretion from either pancreatic beta-cell hyperplasia or hyperfunction.Eight RYGB patients with hypoglycemic syndrome had insulin secretion rates determined during a 240-min graded intravenous glucose infusion. They were compared to 34 nondiabetic, nonsurgical individuals who were divided based on their insulin sensitivity status as measured by the insulin suppression test: insulin-sensitive (n = 8), insulin intermediate (n = 7), and insulin-resistant (n = 19).RYGB patients had insulin concentrations and HOMA-IR similar to the insulin-sensitive reference group. In addition, integrated insulin secretion rates were comparable to the insulin-sensitive group and significantly lower than the insulin intermediate (p

    View details for DOI 10.1007/s11695-010-0183-2

    View details for Web of Science ID 000280746100304

    View details for PubMedID 20665189

  • Relationship between body mass index and insulin resistance in patients treated with second generation antipsychotic agents JOURNAL OF PSYCHIATRIC RESEARCH Kim, S. H., Nikolics, L., Abbasi, F., Lamendola, C., Link, J., Reaven, G. M., Lindley, S. 2010; 44 (8): 493-498

    Abstract

    Second generation antipsychotics (SGAs) can increase weight gain and weight-induced insulin resistance. Recent studies have suggested weight-independent effects of certain SGAs on insulin resistance; however the magnitude of these effects and the relationship between BMI and insulin resistance in patients on SGAs are not established. To evaluate, the relationship between body mass index (BMI) and insulin resistance in 54 patients being stably treated with olanzapine (n=19), risperidone (n=16), or aripiprazole (n=19) was compared with data from a large reference population (n=201) not on SGAs. Insulin resistance was directly quantified by measuring the steady-state plasma glucose (SSPG) concentration during the insulin suppression test. The relationship between BMI and SSPG was similar between the SGA (r=0.58) and the reference population (r=0.50). When SSPG was standardized based on expected values for the reference population, patients on olanzapine had a higher degree of insulin resistance (mean z-score+/-SD, 0.68+/-0.9) than expected for level of BMI compared with those on aripiprazole (-0.25+/-1) and risperidone (-0.3+/-0.9), F(2,51)=6.28 (p=0.004). Thus, olanzapine group was 0.76 SD above the reference population or in the 78 percentile for insulin resistance. SSPG was correlated with fasting plasma insulin concentration (0.78 (0.64-0.87), p<0.001) but not fasting glucose concentration (0.15 (-0.13-0.40), p=0.29). In conclusion, BMI contributes a quarter to a third of the variance in insulin resistance in the SGA population similar to the reference population. Olanzapine also appears to have an independent effect on insulin resistance that is above and beyond obesity.

    View details for DOI 10.1016/j.jpsychires.2009.11.007

    View details for Web of Science ID 000278653500002

    View details for PubMedID 19962157

  • Utility of Homeostasis Model Assessment of beta-Cell Function in Predicting Diabetes in 12,924 Healthy Koreans DIABETES CARE Sung, K., Reaven, G. M., Kim, S. H. 2010; 33 (1): 200-202

    Abstract

    It is unclear how well homeostasis model assessment of beta-cell function (HOMA-beta) predicts diabetes development beyond its components, especially glucose.We identified 12,924 nondiabetic Koreans who had fasting plasma glucose and insulin concentrations measured in 2003 and again in 2008. To minimize the impact of differences in baseline glucose concentration, individuals were divided into three glucose categories: normal fasting glucose (NFG, glucose <5.6 mmol/l), impaired fasting glucose (IFG-100) (5.6-6.0 mmol/l), and IFG-110 (6.1-6.9 mmol/l).Diabetes developed in 29% of individuals in the IFG-110 group, compared with 5% in IFG-100 and 0.3% in NFG groups. Within each glucose category, those who progressed to diabetes had higher baseline glucose concentrations (P < or = 0.04). Baseline HOMA-beta, however, was not lower but higher in individuals who developed diabetes in the NFG group (P = 0.009) and similar in the IFG-100 and IFG-110 groups.These data question the utility of using HOMA-beta to predict the development of diabetes.

    View details for DOI 10.2337/dc09-1070

    View details for Web of Science ID 000273622200040

    View details for PubMedID 19808927

  • Plasma Glucose and Insulin Regulation Is Abnormal Following Gastric Bypass Surgery with or Without Neuroglycopenia OBESITY SURGERY Kim, S. H., Liu, T. C., Abbasi, F., Lamendola, C., Morton, J. M., Reaven, G. M., McLaughlin, T. L. 2009; 19 (11): 1550-1556

    Abstract

    Enhanced insulin sensitivity is commonly seen following Roux-en-Y gastric bypass surgery (RYGB) whereas symptomatic hypoglycemia post-RYGB seems to occur infrequently. It is unclear how different plasma glucose and insulin responses are in patients with symptomatic hypoglycemia (SX-RYGB) versus those who remain asymptomatic (ASX-RYGB), nor when compared with non-surgical controls with varying degrees of insulin sensitivity.Plasma glucose and insulin concentrations were determined following a 75-g oral glucose challenge in five groups: symptomatic and asymptomatic patients following RYGB (n = 9 each) and overweight/obese controls, divided into three subgroups (n = 30 each) on the basis of degree of insulin sensitivity measured by the insulin suppression test.SX-RYGB group had higher 30-min glucose after oral glucose compared with the ASX-RYGB group (p = 0.04). The two groups did not differ in peak glucose and insulin concentrations, nadir glucose concentration, or insulin-to-glucose ratio 30 min after oral glucose. These values were significantly different from the three control groups, and peak insulin concentrations post-RYGB were increased at every degree of insulin sensitivity as compared with the control groups.Plasma glucose and insulin responses to oral glucose in patients with symptomatic hypoglycemia post-RYGB are minimally different when compared to individuals who remain asymptomatic, and both groups demonstrate hyperinsulinemia out of proportion to their degree of insulin sensitivity.

    View details for DOI 10.1007/s11695-009-9893-8

    View details for Web of Science ID 000271282900014

    View details for PubMedID 19557485

  • Effect of moderate alcoholic beverage consumption on insulin sensitivity in insulin-resistant, nondiabetic individuals METABOLISM-CLINICAL AND EXPERIMENTAL Kim, S. H., Abbasi, F., Lamendola, C., Reaven, G. M. 2009; 58 (3): 387-392

    Abstract

    Although moderate alcohol consumption has been associated with a decrease in plasma insulin concentrations, relatively few studies have been conducted to evaluate the effect of alcohol on insulin sensitivity, particularly in nondiabetic, insulin-resistant individuals. Because enhanced insulin sensitivity could contribute to the reported association between moderate alcohol consumption and reduced risk of heart disease and diabetes, we believed it is important to address this issue. Consequently, we evaluated the ability of moderate alcohol consumption to improve insulin sensitivity, as measured by determining the steady-state plasma glucose (SSPG) concentration during the insulin suppression test, in 20 nondiabetic, insulin-resistant individuals. Measurements were made of SSPG, glucose, insulin, and lipoprotein concentrations before and after consuming 30 g of alcohol for 8 weeks, either as vodka (n = 9) or red wine (n = 11). The SSPG concentrations (insulin resistance) decreased by approximately 8% in the total group (P = .08), and high-density lipoprotein cholesterol concentration increased by a mean of 0.09 mmol/L (P = .02). Trends were similar in individuals who consumed vodka or red wine. Men tended to have greater decline in SSPG and increase in high-density lipoprotein cholesterol compared with women. There were no other metabolic changes in fasting plasma glucose, insulin, and triglyceride concentrations. These data demonstrate that 8 weeks of moderate alcohol consumption had minimal impact on enhancing insulin sensitivity in nondiabetic, insulin-resistant individuals, raising questions as to the role, if any, of improved insulin sensitivity in the purported clinical benefits associated with moderate alcohol consumption.

    View details for DOI 10.1016/j.metabol.2008.10.013

    View details for Web of Science ID 000263882400019

    View details for PubMedID 19217456

  • Insulin resistance and hyperinsulinemia - You can't have one without the other DIABETES CARE Kim, S. H., Reaven, G. M. 2008; 31 (7): 1433-1438

    Abstract

    Recently, it has been suggested that insulin resistance and hyperinsulinemia can exist in isolation and have differential impacts on cardiovascular disease (CVD). To evaluate this suggestion, we assessed the degree of discordance between insulin sensitivity and insulin response in a healthy, nondiabetic population.Insulin sensitivity was quantified by determining the steady-state plasma glucose (SSPG) concentration during an insulin suppression test in 446 individuals. The integrated insulin response was calculated after a 75-g oral glucose challenge. We analyzed the correlation between insulin resistance and insulin response in addition to quantifying the proportion in quartiles of insulin response by quartiles of insulin sensitivity. Then we compared CVD risk factors between individuals within the same insulin sensitivity quartile but within different insulin response quartiles to evaluate the differential clinical impact of insulin resistance and hyperinsulinemia.Insulin resistance and insulin response were highly correlated (r = 0.76, P < 0.001). A majority (95%) of the most insulin-resistant individuals (top SSPG quartile) were either in the highest insulin response quartile (71%) or second highest (24%). Similarly, 92% of the most insulin-sensitive individuals (lowest SSPG quartile) were in the lowest two insulin response quartiles. There were minimal differences in CVD risk factors between individuals with different insulin responses but within the same insulin sensitivity quartile.Although not perfectly related, insulin resistance and hyperinsulinemia rarely exist in isolation in a nondiabetic population. It is difficult to discern an independent impact of hyperinsulinemia on CVD risk factors associated with insulin resistance.

    View details for DOI 10.2337/dc08-0045

    View details for Web of Science ID 000257421000032

    View details for PubMedID 18594063

  • Isolated Impaired Fasting Glucose and Peripheral Insulin Sensitivity Not a simple relationship DIABETES CARE Kim, S. H., Reaven, G. M. 2008; 31 (2): 347-352

    Abstract

    In a recent consensus statement, the American Diabetes Association (ADA) concluded that individuals with impaired fasting glucose (IFG) have "normal muscle insulin sensitivity." To subject this conclusion to further validation, we evaluated the relationship between glucose tolerance categories and peripheral insulin sensitivity in a large nondiabetic population.Insulin sensitivity was directly quantified by determining the steady-state plasma glucose (SSPG) concentration during an insulin suppression test in 446 nondiabetic individuals divided into four groups: normal glucose tolerance (NGT, n = 318), isolated IFG (n = 63), isolated impaired glucose tolerance (IGT, n = 33), and combined IFG and IGT (IFG/IGT, n = 32).Insulin sensitivity was significantly different in all three groups with pre-diabetes (IFG, IGT, IFG/IGT) as compared with NGT (P < 0.05). Using tertiles of SSPG concentration in the NGT group as operational definitions of insulin resistance (highest tertile) and insulin sensitivity (lowest tertile), there was considerable heterogeneity within the pre-diabetic groups. Thus, 57% of IFG individuals were insulin resistant, and 13% were insulin sensitive. The IFG/IGT group was most homogeneous, with 94% classified as insulin resistant and only 3% as insulin sensitive.Peripheral insulin sensitivity varies considerably in nondiabetic individuals, with IFG individuals showing the most heterogeneity within the pre-diabetes group. We believe that this heterogeneity in insulin sensitivity, and the relatively few patients in whom insulin sensitivity has been measured directly in the past, explain the discrepancy between our findings and those of the recent ADA consensus statement.

    View details for DOI 10.2337/dc07-1574

    View details for Web of Science ID 000266563300033

    View details for PubMedID 18000184

  • Relationship among alcohol, body weight, and cardiovascular risk factors in 27,030 Korean men DIABETES CARE Sung, K., Kim, S. H., Reaven, G. M. 2007; 30 (10): 2690-2694

    Abstract

    Recent studies suggest a lower risk for overweight/obesity in moderate alcohol drinkers. However, the validity of this relationship and its impact on the putative benefits of alcohol consumption on cardiovascular disease (CVD) risk has not been well evaluated.We assessed the impact of BMI on the relationship between alcohol consumption and CVD risk factors (blood pressure, lipid panel, and glucose and insulin concentrations) in 27,030 healthy Korean men with no major comorbidities or medication intake seen in a large urban Korean hospital.BMI and overweight prevalence increased linearly with alcohol intake (P < 0.001). Alcohol intake was also positively associated with blood pressure and triglyceride, HDL, and fasting glucose concentrations (P < 0.001) and negatively associated with LDL and insulin concentrations (P < 0.001). With nondrinkers as the reference group, the odds ratio for having insulin in the top quartile also declined linearly when adjusted for age, BMI, smoking, and exercise, with the heaviest drinkers (>40 g/day) having an odds ratio of 0.71 (95% CI 0.62-0.82) (P < 0.001). The relationship between alcohol and CVD risk factors was similar in normal-weight and overweight individuals.Alcohol intake is associated with increasing BMI and several metabolic abnormalities, including higher fasting glucose. Paradoxically, it is also associated with lower insulin concentrations. The clinical significance of these findings needs further investigation.

    View details for DOI 10.2337/dc07-0315

    View details for Web of Science ID 000250223400056

    View details for PubMedID 17623829

  • Metabolic impact of switching antipsychotic therapy to aripiprazole after weight gain - A pilot study JOURNAL OF CLINICAL PSYCHOPHARMACOLOGY Kim, S. H., Ivanova, O., Abbasi, F. A., Lamendola, C. A., Reaven, G. M., Glick, I. D. 2007; 27 (4): 365-368

    Abstract

    Switching antipsychotic regimen to agents with low weight gain potential has been suggested in patients who gain excessive weight on their antipsychotic therapy. In an open-label pilot study, we evaluated the metabolic and psychiatric efficacy of switching to aripiprazole in 15 (9 men, 6 women) outpatients with schizophrenia who had gained at least 10 kg on their previous antipsychotic regimen. Individuals had evaluation of glucose tolerance, insulin resistance (insulin suppression test), lipid concentrations, and psychiatric status before and after switching to aripiprazole for 4 months. A third of the individuals could not psychiatrically tolerate switching to aripiprazole. In the remaining individuals, psychiatric symptoms significantly improved with decline in Clinical Global Impression Scale (by 26%, P = 0.015) and Positive and Negative Syndrome Scale (by 22%, P = 0.023). Switching to aripiprazole did not alter weight or metabolic outcomes (fasting glucose, insulin resistance, and lipid concentrations) in the patients of whom 73% were insulin resistant and 47% had impaired or diabetic glucose tolerance at baseline. In conclusion, switching to aripiprazole alone does not ameliorate the highly prevalent metabolic abnormalities in the schizophrenia population who have gained weight on other second generation antipsychotic medications.

    View details for DOI 10.1097/JCP.0b013e3180a9076c

    View details for Web of Science ID 000248062400007

    View details for PubMedID 17632220

  • The relationship between insulin resistance and dyslipidaemia in cigarette smokers DIABETES OBESITY & METABOLISM Farin, H. M., Abbasi, F., Kim, S. H., Lamendola, C., McLaughlin, T., Reaven, G. M. 2007; 9 (1): 65-69

    Abstract

    Considerable evidence shows that cigarette smokers tend to have the dyslipidemic pattern of high plasma triglyceride (TG) and low high-density lipoprotein cholesterol (HDL-C) concentrations, a highly atherogenic lipoprotein profile also typical of the insulin-resistant state even in the absence of cigarette smoking. However, because cigarette smokers are frequently insulin resistant, it is unclear if this dyslipidaemia is secondary to smoking, per se, or simply to the fact that smokers tend to be insulin resistant. The present study was initiated to determine whether this dyslipidaemia prevalent in cigarette smokers and characteristic of insulin-resistant individuals is a function of cigarette smoking or of insulin resistance.As measured using vertical auto profile-II methodology, the lipid and lipoprotein concentrations were compared in 34 cigarette smokers divided into insulin-sensitive and insulin-resistant subgroups. The two groups were similar in age and body mass index, differing only in their insulin-mediated glucose uptake as quantified by the steady-state plasma glucose concentration determined during the insulin suppression test.While levels of TG and very low-density lipoprotein cholesterol (VLDL-C) were significantly elevated in insulin-resistant cigarette smokers, total cholesterol (C), low-density lipoprotein cholesterol (LDL-C), narrow-density (ND) LDL-C, intermediate-density lipoprotein-C (IDL-C), HDL-C and non-HDL-C were not different in the two groups. The insulin-resistant smokers also had a preponderance of small, dense LDL particles, while the reverse was true of the insulin-sensitive cigarette smokers.These data suggest that the dyslipidaemia previously attributed to smoking occurs primarily in those smokers who are also insulin resistant.

    View details for DOI 10.1111/j.1463-1326.2006.00574.x

    View details for Web of Science ID 000242781700008

    View details for PubMedID 17199720

  • Comparison of the 1997 and 2003 American Diabetes Association classification of impaired fasting glucose - Impact on prevalence of impaired fasting glucose, coronary heart disease risk factors, and coronary heart disease in a community-based medical practice JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY Kim, S. H., Chunawala, L., Linde, R., Reaven, G. M. 2006; 48 (2): 293-297

    Abstract

    The goals of this study were to assess the effect of the 2003 American Diabetes Association definition of impaired fasting glucose (IFG) on prevalence of IFG, coronary heart disease (CHD) risk factors, and CHD compared with the 1997 IFG definition.Although IFG is viewed as increasing CHD risk, this association is unclear and has not been well studied after changing the IFG criterion, especially in a clinical practice setting.This was a cross-sectional evaluation of 8,295 members (3,763 men and 4,532 women) of a community medical center who were between the ages of 30 and 69 years, without a history of diabetes mellitus, and who had available measurements of fasting plasma glucose and lipid concentrations within the past 2 years. The prevalence of IFG, CHD risk factors, and CHD with the 1997 and 2003 IFG definition was compared.The prevalence of IFG increased from 8% to 35% with the 2003 criterion. Individuals with glucose of 100 to 109 mg/dl had lower prevalence of most CHD risk factors (hypertension, triglyceride > or =150 mg/dl, high-density lipoprotein cholesterol <40 mg/dl, meeting 2 components of the metabolic syndrome criteria, CHD risk > or =10% by Framingham score) compared with individuals with glucose 110 to 125 mg/dl. Individuals identified with the 2003 IFG definition did not have an increase in known CHD when adjusted for covariates (odds ratio 1.4 [95% confidence interval (CI) 0.7 to 2.3] vs. 3.2 [95% CI 1.8 to 5.9]).One-third of the population has IFG with the 2003 definition, yet many of these individuals do not have increased prevalence of CHD risk factors or CHD.

    View details for DOI 10.1016/j.jacc.2006.03.043

    View details for Web of Science ID 000239080000011

    View details for PubMedID 16843178

  • Rosiglitazone reduces glucose-stimulated insulin secretion rate and increases insulin clearance in nondiabetic, insulin-resistant individuals DIABETES Kim, S. H., Abbasi, F., Chu, J. W., McLaughlin, T. L., Lamendola, C., Polonsky, K. S., Reaven, G. M. 2005; 54 (8): 2447-2452

    Abstract

    Compensatory hyperinsulinemia permitting insulin-resistant individuals to maintain normal glucose tolerance is associated with a left shift in the glucose-stimulated insulin secretion rate (GS-ISR) dose-response curve and decrease in the insulin metabolic clearance rate (I-MCR). To see whether these changes would reverse with improvement in insulin sensitivity, 14 nondiabetic insulin-resistant subjects received rosiglitazone for 12 weeks (4 mg daily for 4 weeks and then 8 mg daily for 8 weeks). Insulin-mediated glucose uptake was quantified by measuring the steady-state plasma glucose concentration during the insulin suppression test. GS-ISR and I-MCR were determined during a 240-min graded intravenous glucose infusion. I-MCR was also calculated during the insulin suppression test. After rosiglitazone treatment, insulin sensitivity improved with significant fall in steady-state plasma glucose (means +/- SE from 13.5 +/- 0.62 to 9.8 +/- 1.02 mmol/l, P < 0.001). In response, the integrated GS-ISR decreased by 21% (P < 0.001), with a right shift in the dose-response curve. Calculated I-MCR increased by 34% (P = 0.008) during the insulin suppression test and by 21% (P = 0.03) during the graded glucose infusion. In conclusion, enhanced insulin sensitivity in rosiglitazone-treated nondiabetic insulin-resistant individuals was associated with a shift to the right in the GS-ISR dose-response curve and an increase in I-MCR.

    View details for Web of Science ID 000230869500023

    View details for PubMedID 16046313

  • The metabolic syndrome: one step forward, two steps back. Diabetes & vascular disease research Kim, S. H., Reaven, G. M. 2004; 1 (2): 68-75

    Abstract

    Individuals with insulin resistance are at increased risk of glucose intolerance, dyslipidaemia and essential hypertension. In 1988, it was proposed that this cluster of abnormalities associated with insulin resistance identifies individuals at increased risk for cardiovascular disease. Recently, in an effort to raise awareness of this problem, both the World Health Organisation (WHO) and the Adult Treatment Panel III (ATP III) of the National Cholesterol Education Program have suggested a set of clinical criteria to diagnose individuals with what they both refer to as the metabolic syndrome. Although using the same term, the two groups have different goals for creating this diagnosis and different criteria to identify individuals, which relate to their different institutional goals. This review critically evaluates the similarities and differences between the two groups' concepts of the metabolic syndrome and questions the clinical utility of making the diagnosis with either set of definitions.

    View details for PubMedID 16304726

  • Impact of degree of obesity on surrogate estimates of insulin resistance DIABETES CARE Kim, S. H., Abbasi, F., Reaven, G. M. 2004; 27 (8): 1998-2002

    Abstract

    To evaluate the role of adiposity in the relationship between specific and surrogate estimates of insulin-mediated glucose uptake (IMGU) in a large nondiabetic population.Healthy volunteers were classified by BMI into normal weight (<25.0 kg/m(2), n = 208), overweight (25.0-29.9 kg/m(2), n = 168), and obese (>or=30.0 kg/m(2), n = 109) groups. We then assessed how differences in BMI affect the correlation between steady-state plasma glucose (SSPG) concentration at the end of a 180-min infusion of octreotide, glucose, and insulin (a specific measure of IMGU) and five surrogate estimates: fasting plasma glucose, fasting plasma insulin, homeostasis model assessment of insulin resistance (HOMA-IR), quantitative insulin sensitivity check index (QUICKI), and area under the curve for insulin in response to oral glucose (I-AUC).Correlation coefficients (r values) between SSPG and surrogate measures of IMGU were all significant (P < 0.05), but the magnitude varied between BMI groups: normal weight: fasting plasma glucose 0.20, fasting plasma insulin 0.33, HOMA-IR 0.36, QUICKI -0.33, and I-AUC 0.69; overweight: fasting plasma glucose 0.19, fasting plasma insulin 0.55, HOMA-IR 0.55, QUICKI -0.54, and I-AUC 0.72; and obese: fasting plasma glucose 0.40, fasting plasma insulin 0.56, HOMA-IR 0.60, QUICKI -0.61, and I-AUC 0.69.The relationship between direct and surrogate estimates of IMGU varies with BMI, with the weakest correlations seen in the normal-weight group and the strongest in the obese group. In general, I-AUC is the most useful surrogate estimate of IMGU in all weight groups. Fasting plasma insulin, HOMA-IR, and QUICKI provide comparable information about IMGU. Surrogate estimates of IMGU based on fasting insulin and glucose account for no more than 13% of the variability in insulin action in the normal-weight group, 30% in the overweight group, and 37% in the obese group.

    View details for Web of Science ID 000223026200023

    View details for PubMedID 15277430

  • Carbonated beverage consumption and bone mineral density among older women: The Rancho Bernardo study AMERICAN JOURNAL OF PUBLIC HEALTH Kim, S. H., Morton, D. J., BARRETTCONNOR, E. L. 1997; 87 (2): 276-279

    Abstract

    The association between carbonated beverage consumption and bone mineral density was examined in a community-based cohort of older White women.One thousand women 44 to 98 years of age had bone mineral density measured at four sites and provided medical and behavioral histories, including type and quantity of carbonated beverages consumed.Bone mineral density levels were not associated with intake of any type of carbonated beverage after adjustment for age, obesity, calcium intake, exercise, and current use of tobacco and alcohol, thiazides, estrogen, or thyroid hormone.Modest intake of carbonated beverages does not appear to have adverse effects on bone mineral density in older women.

    View details for Web of Science ID A1997WN49300026

    View details for PubMedID 9103110

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