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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Metabolism. Author manuscript; available in PMC 2010 September 1.
Published in final edited form as:
PMCID: PMC2734480
NIHMSID: NIHMS129213

Free Fatty Acids are Associated with Pulse Pressure in Women, but not Men, with Type 1 Diabetes

Baqiyyah Conway, PhD, Rhobert W Evans, PhD, Linda Fried, MD MPH, Sheryl Kelsey, PhD, Daniel Edmundowicz, MS MD FACC, and Trevor J Orchard, MD, M. Med. Scicorresponding author

Abstract

Background

Cardiovascular disease (CVD) is the leading cause of death in type 1 diabetes (T1D). Pulse pressure, a measure of arterial stiffness, is elevated in T1D and associated CVD. Free fatty acids (FFA), elevated in women and abdominal adiposity, are also elevated in T1D and CVD. We thus examined the association of fasting FFA with pulse pressure and coronary artery calcification (CAC-a marker of coronary atherosclerotic burden) in an adult population (n=150) of childhood onset T1D and whether any such associations varied by abdominal adiposity and gender.

Methods

Mean age and diabetes duration were 42 and 33 yrs, respectively when CAC, visceral adiposity (VAT), and subcutaneous abdominal adiposity (SAT) were determined by electron beam tomography. FFA were determined by in vitro colorimetry. Pulse pressure was calculated as SBP minus DBP. FFA were log-transformed before analyses and all analyses were controlled for serum albumin.

Results

FFA were associated with pulse pressure in women (r=0.24, p=0.04), but not in men (r=0.07, p=0.55). An interaction for the prediction of pulse pressure was noted between FFA and both VAT (p=0.03) and SAT (p=0.008) in women, but only a marginal interaction with SAT (p=0.09) and no interaction for VAT (p=0.40) with FFA observed in men (see Figure). In multivariable linear regression analysis allowing for serum albumin, age, height, heart rate, albumin excretion rate, HbA1c, HDLc, and hypertension medication use, FFA, SAT, and the interaction between FFA and SAT, the interaction between FFA and SAT remained associated with pulse pressure in women (FFA p=0.04, interaction term p=0.03), but not men (FFA p=0.32, interaction term p=0.32). FFA showed no association with log-transformed CAC.

Conclusion

Though FFA were not associated with CAC in either gender, they were associated with pulse pressure in women and their effect appeared to vary by abdominal adiposity, particularly SAT. This finding might help to explain the loss of the gender difference in CVD in T1D.

Introduction

Free fatty acids (FFAs) are known to be elevated in type 1 diabetes and obesity, particularly abdominal obesity (1, 2), and to be associated with insulin resistance (3). Insulin resistance in type 2 diabetes and in the general population is associated with a markedly increased risk of coronary artery disease (4, 5). However, T1D is a disease characterized by an abnormality in fuel utilization. Both intermittent insulin deficiency/absence and excess are characteristic of this disease, and both contribute to excess free fatty acid production; therefore, the adiposity-FFArelationship observed in the general population may be very different in T1D.

Coronary artery calcification (CAC) is a subclinical marker of coronary artery disease. In the Epidemiology of Diabetes Complications (EDC) Study, inverse and non-existent relationships were observed between the severity of coronary artery calcification and abdominal fat (6). In type 1 diabetes it is uncertain to what extent calcification of the coronary arteries is due to atherosclerosis of the intima layer of the arterial wall (which may in part relate to obesity and other cardiovascular risk factors) or calcification of the medial layer, perhaps due to abnormal calcium metabolism. Another subclinical measure of cardiovascular disease is arterial stiffness. All these measures are likely strongly interrelated. Sutton-Tyrrell (7) observed a direct relationship between visceral abdominal fat with arterial stiffness in a non-diabetes population; however, little is known about this association in type 1 diabetes. As FFAs have been postulated to be a mediator of insulin resistance and are predictive of ischemic heart disease (8), cardiac arrhythmias (9,10) and sudden cardiac death (11) in the general population, the elevated levels of free fatty acids observed in type 1 diabetes may also help to explain the greatly increased risk of CAD in this population.

The purpose of this study was to assess the association of free fatty acids with coronary artery calcification and arterial stiffness (pulse pressure) in an adult population of childhood onset type 1 diabetes and to determine whether any such association appeared to be mediated by body fat. As abdominal body fat and free fatty acids are known to vary by gender, these analyses are investigated gender-specifically. To our knowledge, this has not been investigated in type 1 diabetes.

Methods

The EDC study is an ongoing study examining the long term complications of T1D in 658 individuals diagnosed before the age of 17 years with T1D at Children’s Hospital of Pittsburgh between 1950 and 1980. This current report is based on a subset (n=210) of this population who had free fatty acid measurements and underwent electron beam tomography (EBT), VAT, subcutaneous abdominal fat (SAT) via EBT scanning as part of the Insulin Resistance Study, a substudy of the 16-year follow-up, one hundred fifty of whom were also fasting. These fasting participants form the basis of the main analyses.

Fasting blood samples were assayed for lipids, lipoproteins, and hemoglobin A1c. High-density lipoprotein (HDL) cholesterol was determined by a heparin and manganese procedure, a modification of the Lipid Research Clinics method (12). Cholesterol was measured enzymatically (13). FFA were measured using the colorimetric method (Wako Pure Chemical Industries, Ltd). Urinary albumin was determined immuno-nephelometrically (14).

CAC was measured using EBT (GE-Imatron C-150, Imatron, South San Francisco, CA). Threshold calcium determination was set using a density of 130 Hounsfield units in a minimum of 2 contiguous sections of the heart. Scans were triggered by ECG signals at 80% of the R-R interval. CAC volume scores were calculated based on isotropic interpolation (15). Direct measurements of abdominal adiposity (visceral and subcutaneous abdominal adipose tissue surface area) were also taken by EBT scanning. Scans of abdominal adipose tissue were taken between the fourth and fifth lumbar regions, which were located by counting from the first vertebra below the ribs. Two 10 mm thick scans were taken during suspended respiration. The images were then analyzed using commercially available software for all pixels corresponding to fat density in Hounsfield units in the appropriate anatomical distribution (subcutaneous or visceral). Height was measured using a stadiometer.

Blood pressure was measured by a random-zero sphygmomanometer according to a standardized protocol (16) after a 5-minute rest period. Blood pressure levels were analyzed, using the mean of the second and third readings. Brachial pulse pressure was calculated (systolic blood pressure-diastolic blood pressure).

The student’s t test was used to compare characteristics of study participants by fasting status. Further analyses were limited to participants providing fasting blood samples. Pearson correlations were used to assess the relationship between FFA, brachial pulse pressure, and coronary artery calcification, adiposity indices, height, heart rate, glycemia indices, and albumin excretion rate. FFA, VAT, SAT, BMI, coronary artery calcification, and albumin excretion rate were log-transformed before analyses. Multiple linear regression analyses with backward elimination was used to determine independent predictors of pulse pressure and coronary artery calcification. All analyses with FFA were adjusted for serum albumin as FFA travel in serum bound to albumin. FFA and serum albumin were forced into all multivariable models. Analyses were conducted using SAS version 9.1.3 (Cary, North Carolina). All procedures were approved by the Institutional Review Board of the University of Pittsburgh and informed and all participants provided informed consent.

Results

Twenty-nine percent of the sixteenth-year follow-up exam study participants provided non-fasting blood samples. Table 1 shows the characteristics of the study participants by fasting status. Overall, there were no differences by fasting status, with the exception of age and FFA levels (41.7 vs. 44.5 years, p=0.02, 0.99 vs. 0.84 mmol/l, p=0.04 in fasters vs. non-fasters, respectively, data not shown). However, upon gender-specific examination, this age difference was found to be only in men. Fasting men were approximately five years younger than non-fasters (41.0 vs. 45.8, p=0.004). By contrast, there was no difference in age in women able or willing to come in for the exam fasting (42.5 vs. 43.5, p=0.56); however, fasting women, but not men, had significantly higher free fatty acid levels than non-fasters. There were no other differences by fasting status in men and women. The remaining analyses are restricted to the 150 fasting participants.

Table 1
Characteristics of Study Participants by Fasting Status at 16th Year Follow-up Exam, mean (SD)

Table 2 shows the gender-specific Pearson correlations between free fatty acids, pulse pressure, coronary artery calcification, adiposity and glycemia indices, height, heart rate, and albumin excretion rate. Free fatty acids were positively correlated with pulse pressure in women (r=0.24, p=0.04) but not men (r=0.07, p=0.55), but showed no association with coronary artery calcification in either gender. Free fatty acids were associated with fasting glucose in both men and women, but showed no association with HbA1c, albumin excretion rate, heart rate, height, or any of the adiposity indices. Correlates of pulse pressure and coronary artery calcification are also presented in Table 2.

Table 2
Association of Free Fatty Acids (FFA) with Pulse Pressure (PP), Coronary Artery Calcification (CAC), Adiposity indices, and Glycemia. Pearson’s r (p-value)

Figures 1 and and22 show the Pearson’s correlation of free fatty acids with pulse pressure by tertiles of gender-specific subcutaneous and visceral abdominal adiposity, respectively. An interaction was observed between free fatty acids and subcutaneous adiposity for pulse pressure in both men (p=0.09) and women (p=0.008), although only marginal in men. An interaction was also seen between free fatty acids and visceral abdominal adiposity in women (p=0.03), but not in men (p=0.40). Interactions between free fatty acids and adiposity were not observed for coronary artery calcification.

Figure 1
Association of Free Fatty Acids (FFA) with Pulse Pressure by Tertiles of Subcutaneous Abdominal Adiposity (SAT).
Figure 2
Association of Free Fatty Acids (FFA) with Pulse Pressure by Tertiles of Visceral Abdominal Adipoisty (VAT).

After multivariable linear regression analyses with backward selection, free fatty acids remained significantly associated with pulse pressure in women, but not in men. After adding the interaction term between free fatty acids and subcutaneous adiposity to the final model, the interaction term was significant in women (p=0.03), but not in men (p=0.32) (Table 3).

Table 3
Multivariable Adjusted Association of Free Fatty Acids with Pulse Pressure in Type 1 Diabetes: The Epidemiology of Diabetes Complications Study

Table 4 shows the multivariable linear regression analyses, with backward selection, of free fatty acids with coronary artery calcification. Free fatty acids were not associated with coronary artery calcification in either gender.

Table 4
Multivariable Adjusted Association of Free Fatty Acids with Coronary Artery Calcification in Type 1 Diabetes: The Epidemiology of Diabetes Complications Study

Discussion

The major finding of this study was that free fatty acids are associated with pulse pressure in women, but not coronary artery calcification in either gender in type 1 diabetes. We also observed that the relationship of free fatty acids with pulse pressure varied by level of subcutaneous and visceral abdominal adiposity. Finally we note that although abdominal fat is not associated with free fatty acids in type 1 diabetes it does appear to modify the relationship between free fatty acids and arterial stiffness in women with type 1 diabetes.

Pulse pressure, the difference between the systolic and diastolic blood pressure, is a measure of arterial distensibility, or stiffness. We found that free fatty acids were associated with an increase in brachial pulse pressure. Although little is known about the relationship of free fatty acids and arterial stiffness, Steinberg et al (17) found that free fatty acids caused endothelial dysfunction in healthy individuals. Nakayama et al (18) found that abnormal free fatty acid metabolism was associated with diastolic, but not systolic, dysfunction in individuals with essential hypertension. Free fatty acids account for a substantial proportion of the counterregulatory defense against hypoglycemia (19), a known player in endothelial dysfunction and cardiac ischemia. Acute hypoglycemia causes an increase in systolic blood pressure and a decrease in diastolic blood pressure, and therefore an increase in pulse pressure (20, 21). Although mean fasting glucose levels in our study were well out of the hypoglycemia range, preclinic nocturnal hypoglycemia and subsequent counterregulation cannot be ruled out.

The free fatty acid associated increase in pulse pressure may lead to cardiac arrhythmias, ischemia, and sudden cardiac death. In the Framingham Heart Study, pulse pressure, but not mean arterial pressure, significantly predicted atrial fribillation (22). In patients with type 2 diabetes, Paolisso et al (9) observed ventricular premature complexes to increase with increasing free fatty acid concentration and to decrease when free fatty acids were directly lowered. The increased free fatty acids accompanying hypoglycemia counterregulation or very low to absent insulin levels in type 1 diabetes may also increase tissue ischemia. In nondiabetic men, elevated levels of free fatty acids were associated with ischemic heart disease (8). Elevated levels of free fatty acids have also been associated with sudden cardiac death (11, 23). Free fatty acid inundation of the myocardium is observed in Acute Coronary Syndromes and the better outcomes in patients in the first DIGAMI study (24, 25) randomized to insulin treatment may be due to insulin’s suppression of free fatty acid release into the circulation. In the EDC population, low daily insulin dose at baseline, but not HbA1c, was independently predictive of the 18 year incidence of non-fatal coronary artery disease.

In our population, the adiposity relationship of pulse pressure with free fatty acids varied by gender. In the general population as well, a gender difference exists in adiposity, particularly visceral adiposity, and insulin resistance. Visceral adiposity and insulin resistance are both higher in men; nevertheless, free fatty acids tend to be slightly increased in women (26). Gender differences among the general population are also observed in lipid metabolism (26). Women, who store a greater proportion of FFA in subcutaneous adipose tissue (27), particular upper body subcutaneous adipose tissue, compared to men, have a greater upper body FFA response to chatecolamines (28) and an increased free fatty acid response to fasting (29), while fasting glucose levels tend to be lower. Hojlund et al (30) observed during 72 hours of fasting mean plasma free fatty acids were higher in women while mean glucose levels were lower in women throughout the duration of the fast. After approximately 36 hours of fasting, mean glucose levels were approximately 3.5 mmol/l (~63mg/dl) in women, while they remained at approximately 4 mmol/l (~72gm/dl) or above in men. Similar findings were noted by Soeters et al (31). A gender difference in the counterregulatory response to hypoglycemia also exists both in the non-diabetic population (32, 33, 34) and in type 1 diabetes (35). Women have a reduced sympathetic nervous system response to hypoglycemia (36). This decreased epinephrine, norepinephine, growth hormone, and subsequent endogenous glucose production response to declining glucose levels would be expected to produce a greater frequency of hypoglycemia in women with type 1 diabetes. However, men experience a greater blunting of the autonomic nervous system counterregulatory responses to hypoglycemia following antecedent hypoglycemia (36). Although the tightened glycemic control achieved in the intensive arm of the Diabetes Control and Complications Trial (DCCT) came at the expense of a three-fold increase in severe hypoglycemic events, there was no difference in the prevalence of hypoglycemia between men and women (37). Although women have decreased catecholamine response to hypoglycemia, they have an increased FFA response to catecholamines and the enhanced free fatty acid response to hypoglycemia in women (29) may account for the resistance women exhibit to the blunting effects of antecedent hypoglycemia. Nevertheless, this may come at the expense of the increased stiffness observed in women with type 1 diabetes (38, 39) and may partially account for the loss of the gender difference in coronary artery disease in type 1 diabetes.

Free fatty acids themselves, although related with pulse pressure, failed to show a relationship with coronary artery calcification. We have previously suggested that the coronary artery calcification in type 1 diabetes might not simply reflect the obesity/lipid driven atherosclerosis, i.e. the “traditional” product of atherosclerosis in response to abnormal lipoprotein levels, but may also reflect advanced glycation end products (AGEs) in the subendothelial matrix or the vascular medial layer (6). These findings suggest two distinct mechanisms of calcium deposition in the coronary arteries in type 1 diabetes. One may be related to the progressive lipoprotein associated plaque accumulation and inflammatory response as seen in obesity driven insulin resistance. We have previously shown body mass index to predict progression of coronary artery calcification in type 1 diabetes (40). The second may represent AGEs associated with poor glycemic control and potententially associated with clinical cardiovascular events. As we have also recently observed a strong relationship between skin fluorescence (a marker of AGEs) and CAC (41), both processes are likely to play a role.

In conclusion, free fatty acids predict arterial stiffness in women with type 1 diabetes, but do not predict CAC in either gender. As both low insulin dose and hypoglycemia increase the free fatty acid flux in type 1 diabetes, these findings may help to explain the inconsistent, and generally null, findings of a relationship of HbA1c and coronary artery disease in type 1 diabetes, particularly in observational studies (42). Given the recent failure of clinical trials to show a cardiovascular benefit, and in one study, an adverse association, of intensive glycemic control in diabetes (43, 44), the results of our study may have important clinical implications. Both hypoglycemia and hyperglycemia need to be monitored, not just HbA1c, in order to avoid elevated free fatty acid flux to the myocardium and kidney and the subsequent myocardial damage.

Acknowledgments

This research was supported by National Institutes of Health Grant DK34818. The authors have no conflict of interest to declare.

This research was supported by NIH grant DK34818. The authors would like to thank Beth Hauth for her help in assaying the free fatty acids. Finally, we would like to thank the Epidemiology of Diabetes Complication study participants for their dedicated participation in this research.

Footnotes

The Internal Review Board of the University of Pittsburgh approved this research and all participants provided informed consent.

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Contributor Information

Baqiyyah Conway, 3512 Fifth Ave, 2nd Fl, Pittsburgh, PA 15213, 412-383-1112, The University of Pittsburgh, Department of Epidemiology.

Rhobert W Evans, 502 Parran Hall, 130 DeSoto St, Pittsburgh, PA 15213, 412-624-2020.

Linda Fried, VA Pittsburgh Healthcare System, University Drive Division, Mailstop 111F-U, Pittsburgh, PA 15240, 412-360-6000.

Sheryl Kelsey, A525 Crabtree Hall, 130 DeSoto St, Pittsburgh, PA 15213, 412-624-5157.

Daniel Edmundowicz, Cardiovascular Institute, University of Pittsburgh Medical Center, Pittsburg, PA 15213, 412-802-3014.

Trevor J Orchard, 3512 Fifth Ave, 2nd Fl, Pittsburgh, PA 15217, ude.ttip.cde@TdrahcrO, Tel: 412-383-1032; Fax: 412-383-1020.

References

1. Koutsari C, Jensen M. Free fatty acid metabolism and human obesity. J Lipid Res. 2006;47:1643–1650. [PubMed]
2. Steinberg H, Gumbiner B. Pathophysiology of obesity and metabolic response to weight loss. In: Gumbiner B, editor. Obesity. American College of Physicians; Philadelphia: 2001. pp. 50–66.
3. Boden G. Gluconeogenesis and Glycogenolysis in Health and Diabetes. Journal of Investigative Medicine. 2004;52:375–378. [PubMed]
4. Grundy S, Cleeman J, Daniels S, Donato K, Eckel R, Franklin B, Gordon D, Krauss R, Savage R, Smith S, Spertus J, Costa F. Diagnosis and Management of the Metabolic Syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;13:322–327. [PubMed]
5. Alberti K, Shaw P. the IDF Epidemiology Task Force Consensus Group. The metabolic syndrome-a new worldwide definition. The Lancet. 2005;366:1059–1062. [PubMed]
6. Conway B, Miller R, Costacou T, Fried L, Kelsey S, Evans R, Edmundowicz D, Orchard T. Double-edged relationship between adiposity and coronary artery calcification in type 1 diabetes. Diabetes Vasc Dis Res. 2007;4:332–339. [PubMed]
7. Sutton-Tyrrell K, Newman A, Simonsick EM, Havlik R, Pahor M, Lakatta E, Spurgeon H, Vaitkevicius P. Aortic stiffness is associated with visceral adiposity in older adults enrolled in the study of health, aging, and body composition. Hypertension. 2001;38:429–433. [PubMed]
8. Pirro M, Mauriege P, Tchernof A, Cantin B, Dagenais G, Despres J, Lamarche B. Plasma free fatty acid levels and the risk of ischemic heart disease in men: prospective results from the Quebec Cardiovascular Study. Atherosclerosis. 2002:377–384. [PubMed]
9. Paolisso G, Gualdiero P, Manzella D, Rizzo M, Tagliamonte M, Gambardella A, Verza M, Gentile S, Varriccho M, D’Onofrio F. Association of fasting plasma free fatty acid concentration and frequency of ventricular premature complexes in nonischemic non-insulin dependent diabetic patients. Am J Cardiol. 1997;80:932–937. [PubMed]
10. Kurien V, Yates P, Oliver M. The role of free fatty acids in the production of ventricular arrhythmias after acute coronary artery occlusion. Eur J Clin Invest. 1971;1:225–241. [PubMed]
11. Pilz S, Scharnag H, Tiran B, Wellnits B, Seelhorst U, Boehm B, Marz W. Elevated plasma free fatty acids predict sudden cardiac death: a 6.85-year follow-up of 3315 patients after coronary angiography. European Heart Journal. 2007;28:2763–2769. [PubMed]
12. National Institute of Health, Department of Health, Education and Welfare. Lipid Research Clinics Program. Washington, D.C: U.S. Govt. Printing Office 1975; 1978. (NIH pub no. 75–628)
13. Allain C, Poon L, Chan C, Richmond W, Fu P. Enzymatic determination of total serum cholesterol. Clin Chem. 1974;20(4):470–5. [PubMed]
14. Ellis D, Buffone G. A new approach to the evaluation of proteinuric states. Clin Chem. 1977;23:666–670. [PubMed]
15. Callister T, Cooil B, Raya S, Lippolis N, Russo D, Raggi P. Coronary artery disease: improved reproducibility of calcium scoring with an electron-beam CT volumetric method. Radiology. 1998;208:807–814. [PubMed]
16. Borhani N, Kass E, Langford H, Paynr G, Remington R, Stamler J. The hypertension detection and follow-up program. Prev Med. 1976;5:207–215. [PubMed]
17. Steinberg H, Tarshoby M, Monestel R, Hook G, Cronin J, Johnson A, Bayazeed B, Baron A. Elevated circulating free fatty acid levels impair endothelium-dependent vasodilation. The Journal of Clinical Investigation. 1998;100:1230–1239. [PMC free article] [PubMed]
18. Nakayama H, Morozumi T, Nanto S, Shimonagata T, Ohara T, Takano Y, Kotani J, Watanabe T, Fujita M, Nisho M, Kusuka H, Hori M, Nagata S. Abnormal myocardial free fatty acid utilization deteriorates with morphological changes in the hypertensive heart. Jpn Circ J. 2001;65:783–787. [PubMed]
19. Fanelli C, Calderone S, Epifano L, De Vincenzo A, Modarelti F, Pampanelli S, Perriello G, De Feo P, Brunetti P, Gerich J, Bolli G. Demonstration of a Critical Role for Free Fatty Acids in Mediating Counterregulatory Stimulation of Gluconeogenesis and Suppression of Glucose Utilization in Humans. J Clin Invest. 1993;92:1617–1622. [PMC free article] [PubMed]
20. Sommerfield A, Wilkinson I, Webb D, Frier B. Vessel wall stiffness in type 1 diabetes and the central hemodynamic effects of acute hypoglycemia. Am J Physiol Endocrinol Metab. 2007:E1274–E1279. [PubMed]
21. Wright R, Firer B. Vascular disease and diabetes: is hypoglycaemia an aggravating factor? Diabetes/Metabolism Research and Reviews. 2008;24:353–363. [PubMed]
22. Mitchell G, Vasan R, Keyes M, Parise H, Wang T, Larson M, D’Agostino R, Kannel W, Levy D, Benjamin E. Pulse Pressure and Risk of New-Onset Atrial Fibrillation. JAMA. 2007;297:709–715. [PubMed]
23. Jouven X, Charles M, Desnos M, Ducimetiere P. Circulating Nonesterified Fatty Acid Level as a Predictive Reisk Factor for Sudden Death in the Population. Circulation. 2001;104:756–761. [PubMed]
24. Malmberg K, Rydén L, Efendic S, Herlitz J, Nicol P, Waldenström A, Wedel H, Welin L. Randomized trial of insulin-glucose infusion followed by subcutaneous insulin treatment in diabetic patients with acute myocardial infarction (DIGAMI study): effects on mortality at 1 year. J Am Coll Cardiol. 1995;26(1):57–65. [PubMed]
25. Bhadriraju S, Ray KK, DeFranco AC, Barber K, Bhadriraju P, Murphy SA, Morrow DA, McCabe CH, Gibson CM, Cannon CP, Braunwald E. Association between blood glucose and long-term mortality in patients with acute coronary syndromes in the OPUS-TIMI 16 trial. Am J Cardiol. 2006;97(11):1573–7. [PubMed]
26. Mittendorfer B. Sexual dimorphism in human lipid metabolism. J Nutr. 2005;135:681–6. [PubMed]
27. Koutsari C, Snozek C, Jensen M. Plasma NEFA stage in adipose tissue in the postprandial state: sex-related and regional differences. Diabetologia. 2008;51:2041–2048. [PMC free article] [PubMed]
28. Jensen M, Cyre P, Johnson C, Murray M. Effects of epinephrine on regional free fatty acid and energy metabolism in men and women. Am J Physiol. 1996;270:E259–E264. [PubMed]
29. Mittendorfer B, Horowitz JF, Klein S. Gender differences in lipid and glucose kinetics during short-term fasting. Am J Physiol Endocrinol Metab. 2001;281(6):E1333–9. [PubMed]
30. Hojlund K, Wildner-Christensen M, Eshoj O, Skjarbaek C, Holst J, Koldkjaer O, Jensen D, Beck-Nielsen H. Reference intervals for glucose, β-cell polypeptides, and counterregulatory factors during prolonged fasting. Am J Physiol Endocrinol Metab. 2001;280:E50–E58. [PubMed]
29. Soeters M, Sauerwein H, Groener J, Aerts J, Ackermans M, Glatz J, Fliers E, Serlie M. Gender-Related Differences in the Metabolic Response to Fasting. J Clin Endocrinol Metab. 92:3646–3652. [PubMed]
30. Amiel S, Maran A, Powne J, Umpleby A, MacDonald I. Gender differences in counterregulation to hypoglycemia. Diabetologia. 1993;36:460–464. [PubMed]
31. Davis S, Cherrington A, Goldstein R, Jacobs J, Price L. Effects of insulin on the counterregulatory response to equivalent hypoglycemia in normal females. Am J Physiol Endocrinol Metab. 1993:E680–E689. [PubMed]
32. Diamond M, Jones T, Caprio S, Hallerman L, Meredith-Diamond M, Addabbo M, Tamborlane W, Sherwin R. Gender influences counterregulatory hormone response to hypoglycemia. Metabolism. 1993;42:1568–1572. [PubMed]
33. Davis SN, Fowler S, Costa F. Hypoglycemic counterregulatory responses differ between men and women with type 1 diabetes. Diabetes. 2000;49:65–72. [PubMed]
34. Davis SN, Shavers C, Costa F. Gender-related differences in counterregulatory responses to antecedent hypoglycemia in normal humans. J Clin Endocrinol Metab. 2000;85:2148–57. [PubMed]
35. Diabetes Control and Complications Trial Research Group. Epidemiology of Severe Hypoglycemia in the Diabetes Control and Complications Trial. Am J Med. 1991;90:450–457. [PubMed]
36. Ahlgren A, Astrand H, Sundkvist G, Lanne Increased aortic stiffness is persistant in type 1 diabetic women: a follow-up study. Diabetologia. 2005;48:780–783. [PubMed]
37. Ahlgren A, Lanne T, Wollmer P, Sonesson B, Hansen F, Sundkvist G. Increased arterial stiffness in women, but not men, with IDDM. Diabetologia. 1995;38:1082–1089. [PubMed]
38. Costacou T, Edmundowicz D, Prince C, Conway B, Orchard T. Progression of Coronary Artery Calcium in Type 1 Diabetes. Am J Cardiol. 2007;100:1543–7. [PMC free article] [PubMed]
39. Conway B, Wang J, Edigar M, Orchard T. Skin Fluorescence and Type 1 Diabetes Complications: A New Marker of Complication Risk. Diabetes. 2008:A287.
40. Orchard T, Costacou T, Kretowski A, Nesto R. Type 1 Diabetes and Coronary Artery Disease. Diabetes Care. 2006;29:2528–2538. [PubMed]
41. Taubes G. Diabetes. Paradoxical effects of tightly controlled blood sugar. Science. 2008;322:365–367. [PubMed]
42. Orchard T, Costacou T, Kretowski A, Nesto R. Type 1 diabetes and coronary artery disease. Diabetes Care. 2006;29 (11):2528–2538. [PubMed]
43. The Action to Control Cardiovascular Risk in Diabetes Study Group. Effects of Intensive Glucose Lowering in Type 2 Diabetes. N Engl J Med. 2008;358:2545–59. [PMC free article] [PubMed]
44. The ADVANCE Collaborative Group. Intensive Glucose Lowering and Vascurlar Risk in Patients with Type 2 Diabetes. N Engl J Med. 2008;358:2560–72. [PubMed]