Abstract
Cardiovascular diseases (CVD) affect about one third of the population and are the leading cause of mortality. The prevalence of CVD is closely linked to the prevalence of obesity because obesity is commonly associated with metabolic abnormalities that are important risk factors for CVD, including insulin resistance, pre-diabetes, and type 2 diabetes, atherosclerotic dyslipidemia, endothelial dysfunction and hypertension. Women have a more beneficial traditional CVD risk profile (lower fasting plasma glucose, less atherogenic lipid profile) and a lower absolute risk for CVD than men. However, the relative risk for CVD associated with hyperglycemia and dyslipidemia is several-fold higher in women than in men. The reasons for the sex differences in CVD risk associated with metabolic abnormalities are unclear but could be related to differences in the mechanisms that cause hyperglycemia and dyslipidemia in men and women, which could influence the pathogenic processes involved in CVD. In this article we review the influence of a person’s sex on key aspects of metabolism involved in the cardiometabolic disease process, including insulin action on endogenous glucose production, tissue glucose disposal, and adipose tissue lipolysis, insulin secretion and insulin plasma clearance, postprandial glucose, fatty acid, and triglyceride kinetics, hepatic lipid metabolism, and myocardial substrate use. We conclude that there are marked differences in many aspects of metabolism in men and women that are not all attributable to differences in the sex hormone milieu. The mechanisms responsible for these differences and the clinical implications of these observations are unclear and require further investigation.
Keywords: insulin resistance, dyslipidemia, metabolic syndrome, diabetes
Introduction
Cardiovascular diseases (CVD), including atherosclerosis, hypertension, myocardial infarction, stroke, and heart failure, affect ~10% of young and middle-aged (<65years) and ~30% of older (≥65years) adults and are the leading causes of mortality, accounting for >25% of all deaths (1–3). More than 80% of CVD-related deaths are due to ischemic heart disease and stroke (3). The prevalence of CVD is closely linked to the prevalence of obesity because obesity is commonly associated with metabolic abnormalities that are important risk factors for CVD, including insulin resistance, pre-diabetes, and type 2 diabetes (T2D), atherosclerotic dyslipidemia, endothelial dysfunction and hypertension (4–13). Insulin is a key regulator of glucose and lipid metabolism and also regulates sympathetic nerve activity and endothelial function; accordingly, resistance to the effects of insulin is a key pathogenic mechanism involved in CVD (14). In addition, increases in plasma glucose and triglycerides (TG) per se are directly involved in causing the cellular pathogenic changes associated with hypertension and atherosclerosis (15, 16).
Premenopausal women have a more beneficial traditional CVD risk profile (lower fasting plasma glucose (17–22) and less atherogenic lipid profile, characterized by lower plasma TG and apolipoprotein B [apo-B] containing particles, higher HDL-cholesterol [HDL-C], and more large and fewer small HDL particles (19, 23)) and a lower absolute risk for CVD than men. The observed sex differences in the metabolic CVD risk profile are attributed to the sex hormone milieu, particularly the protective effect of estradiol, but it is becoming clear that chronological age per se has a major and possibly greater influence on cardiometabolic function in women than menopause (24–28). In addition, the relative risk for CVD associated with hyperglycemia and dyslipidemia is several-fold higher in women than in men (5, 7, 10, 12, 29–33). A meta-analysis of 64 studies, including a total of 858,507 people, found the relative risk for CVD associated with T2D is ~45% greater in women than in men (29); another, smaller meta-analysis, which focused on young and middle-aged (<60 years old) adults only, found the relative risk for CVD associated with T2D is approximately three times as high in women than men (30). Moreover, women with atherosclerotic dyslipidemia (hypertriglyceridemia and/or low HDL-C) have a two to four times greater risk for CVD than women with normal plasma lipids whereas atherosclerotic dyslipidemia increases the risk for CVD by only 25%−50% in men (5, 7). The reasons for the sex differences in absolute CVD risk and CVD risk associated with increased glucose and TG concentrations are unclear but could be related to differences in the mechanisms that cause hyperglycemia and dyslipidemia in men and women, which could influence the pathogenic processes involved in CVD. For example, the CVD risk associated with increased plasma TG concentration is not simply determined by the total amount of TG but dependent on the number of circulating TG-containing lipoprotein particles at any given TG concentration (i.e., lots of small TG-poor vs few large, TG-rich particles), and the T2D risk associated with impaired glucose tolerance depends on the shape of the plasma glucose profile after glucose ingestion, which is likely determined by variations in insulin secretion, plasma clearance, and target tissue action (34–40). In this article, we will review and highlight important differences in insulin kinetics and action, basal and postprandial glucose and lipid metabolism, and myocardial substrate use between men and women.
Regulation of plasma glucose and TG concentrations
Plasma glucose concentration is maintained by a balance between hepatic, and to a lesser extent, renal glucose production, meal glucose appearance in plasma, and tissue glucose uptake. Insulin is a major regulator of endogenous glucose production and tissue glucose uptake (see (41–43) for excellent and detailed reviews). Insulin suppresses endogenous glucose production, both by acting directly on hepatocytes, and indirectly by inhibiting glucagon production and adipose tissue lipolysis (43). Endogenous glucose production is very sensitive to the inhibitory effect of insulin and small increases in plasma insulin above basal values are sufficient to completely suppress it (44–46). Insulin stimulates tissue (predominantly muscle) glucose uptake in a dose dependent manner and the maximal stimulatory effect of insulin on glucose disposal far exceeds the normal postprandial rise in plasma insulin (44). Insulin is also a potent inhibitor of adipose tissue lipolysis and fatty acid release into plasma, and small increases in plasma insulin above basal values are sufficient to completely suppress it (45, 47, 48). Insulin also regulates hepatic TG synthesis and secretion, both directly and indirectly by regulating adipose tissue lipolysis. Insulin stimulates hepatic de novo lipogenesis, inhibits VLDL-particle (apoB-100) and TG secretion, and regulates the availability of adipose-derived fatty acids for hepatic TG synthesis (41, 49). In healthy people, insulin secretion, plasma insulin clearance, and insulin sensitivity are tightly coordinated and both insulin secretion and insulin clearance often change simultaneously in opposite directions to compensate for changes in insulin sensitivity; relative insulin insufficiency due to an imbalance among insulin secretion, plasma clearance, and sensitivity causes an increase in plasma glucose, fatty acid, and TG concentrations, and ultimately pre-diabetes, T2D, and atherosclerotic dyslipidemia (50–52).
Basal plasma glucose concentration and flux in men and women
Plasma glucose concentration after an overnight fast is generally slightly (~10%) lower in women than in men (17–22, 53), but it is unclear whether this is due to less glucose production or more efficient plasma clearance in women than in men. The results from studies that evaluated basal endogenous glucose production are equivocal. In most studies basal endogenous glucose production, expressed per kg body weight or per kg fat-free mass, was not different in men and women, irrespective of adiposity status and age (54–62). However, in some studies, basal endogenous glucose production, expressed per kg body weight or fat-free mass was less (18, 63) and in others it was greater (64, 65) in women compared wtih age-matched men. The reasons for the differences in results among studies are unclear but are likely related to differences in the prevailing plasma insulin concentration (because insulin is a potent inhibitor of endogenous glucose production (45)) and the duration of fasting, which affects hepatic glucose production differently in men and women (55, 66).
Basal plasma free fatty acid (FFA) concentration and flux in men and women
Plasma FFA concentration after an overnight fast is generally greater in women than men (53, 67–69). The difference in FFA concentration is largely due to the greater fat mass relative to fat-free mass, not differences in adipose tissue lipolytic activity and/or plasma clearance rate (reviewed below), in women than men. We measured FFA appearance rate (Ra) in plasma, an index of adipose tissue lipolytic activity (70), in lean, overweight, and obese (including severely obese) men and women and found basal FFA Ra in plasma, is directly related to fat mass, and the relationship between fat mass and FFA appearance in plasma is not different in men and women (68). However, FFA Ra in relationship to fat-free mass, or unit of plasma volume, or resting energy expenditure is approximately 50% greater in women than in men (68, 71, 72) because women have more fat mass than men for any given amount of fat-free mass (73), and fat-free mass is the primary determinant of resting energy expenditure (74, 75).
Insulin action on glucose metabolism in men and women
Potential sex differences in insulin action on glucose metabolism have been evaluated by using the homeostasis model assessment of insulin resistance (HOMA-IR) (e.g.,76, 77), the oral glucose tolerance test (OGTT) (e.g.,18, 78, 79), the intravenous glucose tolerance test (IVGTT) (e.g.,21, 22) and the gold-standard hyperinsulinemic-euglycemic clamp technique, with or without simultaneous glucose tracer infusion (e.g.,18, 47, 54, 57, 58, 80–83). We focus on the results from studies that used the hyperinsulinemic-euglycemic clamp procedure in conjunction with glucose tracers (stable isotope- or radiolabeled) to distinguish the effects of insulin on glucose production and glucose disposal (not those that only report the “M-value”, i.e., the glucose infusion rate during the clamp) and those that used the arterio-venous balance technique or dynamic PET imaging to provide a direct measure of tissue glucose uptake rates. The HOMA-IR and the IVGTT-derived insulin sensitivity indices do not provide direct information about the effect of insulin on organ-specific glucose kinetics and the OGTT provides a standard 75 g dose of glucose to subjects regardless of body size, which makes the interpretation of the results difficult because women are generally smaller than men (79, 84, 85).
Insulin action on endogenous glucose production.
Endogenous glucose production is very sensitive to changes in plasma insulin and even small increases in plasma insulin concentration above values observed after an overnight fast can almost completely inhibit it (45, 86). A study that used a relatively low-dose insulin infusion rate that sub-maximally suppressed endogenous glucose production found endogenous glucose production was more sensitive to the inhibitory effect of insulin in women than men (greater relative suppression in women) (57). Several other studies evaluated the effects of higher (near maximally suppressive) doses of insulin on endogenous glucose production and found near maximally suppressed endogenous glucose production rates were not different in men and women (18, 54, 58).
Insulin action on glucose disposal.
Comparing whole body glucose disposal rates in men and women is difficult because of differences in body size and body composition in men and women. In healthy lean men, skeletal muscle accounts for the majority (>75%) of whole body insulin-stimulated glucose disposal (86, 87). However, both muscle and adipose tissue are highly sensitive to insulin (88–90) and insulin-stimulated tissue glucose uptake rates in various adipose tissue depots range from 25% to >50% the rates measured in muscle (63). Accordingly, the contribution of adipose tissue to total (whole body) glucose disposal depends on a person’s adiposity. Whole body insulin-stimulated glucose disposal rate expressed per kg fat-free or lean body mass and adjusted for plasma insulin concentration was often not different in men or age-matched (young or older) women (47, 57, 81) but glucose uptake rate per leg lean mass (AV-balance technique) or uptake into muscle (assessed by using dynamic PET imaging) was greater in lean women than lean age-matched men (54, 82, 83).
FFA-induced insulin resistance of glucose metabolism in men and women
Plasma FFA are important negative regulators of insulin action in liver and muscle. An experimentally-induced (intravenous lipid and heparin infusion) increase in plasma FFA concentration before and during a hyperinsulinemic-euglycemic clamp impairs insulin action in liver and muscle in a dose-dependent manner (91–94). The adverse effect of FFA on insulin action lasts for almost 4 h after cessation of lipid infusion (95). The observed greater insulin sensitivity of both endogenous glucose production (57) and muscle glucose disposal (54, 82, 83) in women compared with men is therefore intriguing considering basal FFA release from adipose tissue in relationship to fat-free mass is markedly greater in women than in men (68, 71, 72). Several studies therefore tested the susceptibility of men and women to FFA-induced insulin resistance. In some studies, women were less susceptible to FFA-induced insulin resistance of glucose disposal (54, 58), whereas others reported no sex difference in FFA-mediated insulin resistance (94, 96); however, this could have been due to statistical power because a trend for a lesser impairment in women than men (46% vs 60% impairment) was observed (96). Only one study evaluated the effect of increased plasma FFA concentration on insulin-mediated suppression of endogenous glucose production and found FFA impaired it similarly in men and women (58).
Insulin action on adipose tissue lipolysis in men and women
Adipose tissue is very sensitive to the antilipolytic effect of insulin (48), so even small differences in plasma insulin concentration can have marked effects on FFA appearance in plasma. The results from studies that evaluated the effect of sex on insulin-mediated suppression of FFA release into the circulation are inconsistent and difficult to interpret because different doses of insulin were used and plasma insulin concentrations were either not reported or markedly (~30%) different in men and women (47, 97, 98). However, one of these studies evaluated the dose response relationship between plasma insulin concentration and FFA rate of appearance in plasma in lean and overweight and obese men and women and found the half-maximum effective (EC50) insulin concentration was not different in men and women but greater in obese than non-obese subjects (47), suggesting no sex differences in insulin sensitivity of adipose tissue lipolysis but obesity-associated insulin-resistance in both men and women.
Insulin secretion in men and women
A large cohort study that included 380 healthy young subjects found plasma C-peptide concentration (an index of insulin secretion) after an overnight fast was greater in women than men (21). Potential sex differences in glucose-stimulated insulin secretion have been evaluated by using both intravenous and oral glucose tolerance tests. During the IVGTT, a body weight-adjusted dose of glucose is provided, whereas the same standard dose of glucose (75 g) is given to everyone during the OGTT, which makes the interpretation of the results from OGTTs difficult, because women are generally smaller than men (79, 84, 85). The acute C-peptide response to an intravenous glucose challenge was not different in men and age-matched women (21), but the acute insulin response was greater in women than men (21, 22), suggesting similar glucose-induced insulin secretion but impaired insulin clearance in women compared with men (reviewed in more detail below). The interpretation of the results from studies that evaluated insulin secretion after mixed meal ingestion (64, 80) is complicated because different meals were used in different studies and meal energy and carbohydrate contents were not always adjusted for differences in body weight and energy expenditure in men and women. One study provided a body weight adjusted meal (10 kcal/kg and 1.2 g dextrose/kg) to both young and older men and women (64) and found the early rise in plasma C-peptide was not different in women and men, but women had slightly higher C-peptide concentrations during the later postprandial period (~60 min after starting the meal).
Insulin clearance in men and women
The effect of sex on plasma insulin clearance is unclear because of conflicting results from different studies. A study that used the hyperinsulinemic-euglycemic pancreatic clamp technique in conjunction with arterial and hepatic vein blood sampling in young and older adults found whole body insulin clearance was greater in women than in men, and this was due to greater non-splanchnic insulin clearance in women whereas hepatic/splanchnic insulin clearance was lower in women than men (99). Another study reported impaired steady-state insulin clearance during a hyperinsulinemic-euglycemic clamp in women compared with men, but insulin clearance was calculated as the insulin infusion rate divided by plasma insulin concentration (80), which ignores residual endogenous insulin secretion during the clamp (100). Studies that used a mathematical modelling approach to estimate whole body and regional plasma insulin clearance after mixed meal ingestion found postprandial non-splanchnic insulin clearance was greater in young Caucasian women than men and splanchnic insulin clearance was significantly less or tended to be less in women than men (64); however, in young Asian and older Caucasian subjects, plasma insulin clearance rates were not different in women and men (64, 80). Data obtained during an IVGTT, suggests impaired insulin clearance in women compared with men because the acute C-peptide response, which provides a measure of insulin secretion, was not different in men and women but insulin concentration was greater in women than men (21).
Postprandial glucose kinetics in men and women
Postprandial glucose kinetics in young and older men and women were evaluated by using a triple tracer mixed meal metabolic testing protocol (64). The meal provided 10 kcal/kg and contained 1.2 g dextrose/kg. Endogenous glucose production was rapidly and nearly completely suppressed during the first 60 min after meal ingestion and then returned to basal values in both men and women (both young and old). However, meal glucose appearance in plasma was faster in women than in men (both young and old). Differences in glucose absorption in men and women have also been observed during an OGTT (18), but the results cannot be directly compared with the meal test or among men and women because both men and women received 75 g of glucose during the OGTT, so women received much more glucose relative to their body weight and metabolic rate than men.
Postprandial fatty acid kinetics in men and women
Postprandial endogenous and meal fatty acid appearance in plasma in men and pre-menopausal women has been evaluated by using a dual tracer (oral and intravenous) mixed meal testing protocol (101). Meal ingestion suppressed FFA rate of appearance in plasma rapidly and nearly completely for almost 4 h in both men and women whereas meal-derived fatty acid appearance in plasma tended to be greater in men than women (101). Postprandial lipemia and the organ distribution and metabolic fate of FFA entering the systemic circulation from adipose tissue lipolysis and meals are markedly different in men and pre-menopausal women. After an overnight fast, a smaller proportion of plasma FFA flux is oxidized to CO2 in women than men (102), even though women convert plasma FFA more rapidly to readily oxidized ketones (103). The greater non-oxidative disposal of FFA in women appears to be targeted to adipose tissue because a greater proportion of both plasma FFA and meal-derived fatty acids are stored in subcutaneous adipose tissue in women than in men (~25% vs ≤10%, respectively) whereas uptake into liver, muscle, and visceral fat after mixed or high fat meal ingestion is not different in men and women (104–108). The postprandial increase in plasma TG after consuming a mixed or high fat meal is less in women than men, even though the same amount of meal fat is oxidized in women and men (108–110) and less meal fat is cleared by splanchnic tissues in women than in men (111). The difference in postprandial lipemia between women and men was observed regardless of whether or not the meal was adjusted for individual subject’s energy needs and therefore smaller relative to body weight in men than women. These results suggest markedly impaired peripheral TG clearance after meal intake in men compared with women. In addition, it was found that adding carbohydrates to an oral lipid load decreased postprandial lipemia in women but not in men (112). The differences in postprandial lipid metabolism in men and pre-menopausal women are at least in part due to differences in the sex hormone milieu (113–115). However, an independent effect of chronological age on postprandial lipemia has also been observed and it was as pronounced, if not more pronounced than that of menopause (25). Moreover, subcutaneous adipose tissue fatty acid storage is even greater in postmenopausal than premenopausal women (116), suggesting the observed sexual dimorphism in adipose tissue fatty acid storage is not due to differences in female sex steroids.
Basal hepatic lipid metabolism in men and women
In a series of studies, we evaluated VLDL-TG and VLDL-apoB-100 kinetics by using stable isotope labeled tracer techniques in conjunction with compartmental modeling analysis in lean and obese men and women. The results from these studies revealed that a person’s sex affects the kinetics of both the particle (apo-B100) per se and the TG moiety of particles, often independently suggesting differences in the lipid load of particles. The differences between men and women are not only due to differences in the sex hormone milieu and are dependent on subjects’ adiposity status. We found: i) lean young women produce fewer but TG-richer VLDL particles than men (69, 72, 117), ii) ovarian hormone deficiency after menopause increases VLDL-TG but not VLDL-apoB-100 (VLDL particle) secretion rate (118), iii) testosterone treatment has no effect on VLDL-TG and VLDL-apoB-100 kinetics, but estradiol given to postmenopausal women with obesity stimulates VLDL-TG plasma clearance (119, 120), iv) increased VLDL-TG concentrations in obese compared with lean men results from over-secretion of VLDL-TG whereas increased VLDL-TG concentrations in obese compared with lean women results in part from VLDL-TG over-secretion but mostly from impaired VLDL-TG removal from plasma (69, 117), and v) obese women, but not obese men, are resistant to the inhibitory effects of combined hyperglycemia-hyperinsulinemia on hepatic VLDL-TG secretion whereas no differences in the hyperglycemia-hyperinsulinemia induced suppression of VLDL-TG secretion was observed in lean men and women (121). A higher VLDL-TG secretion rate in women with abdominal obesity compared with lean women was also observed by others (122) and was mostly due to an increase in the secretion of large and to a lesser extent small VLDL (50% and 12% increase, respectively). VLDL-TG plasma clearance rate in that study was also ~15%−20% less in obese compared with lean women, but the difference did not reach statistical significance (122). In addition, it was found that menopause increased hepatic TG secretion specifically in the small VLDL fraction, and decreased or tended to decrease the secretion of both small and large VLDL particles (122). The observed differences in VLDL-TG secretion rate between men and women are most likely due to differences in the incorporation of systemic plasma fatty acids into VLDL-TG (72), rather than differences in hepatic de novo lipogenesis (DNL) (110).
Effect of fructose ingestion on hepatic de novo lipogenesis in men and women
Fructose stimulates hepatic DNL and high fructose consumption is associated with hepatic steatosis and hypertriglyceridemia (123–125). Consumption of a high- compared with a low-fructose drink (containing 100 g sugar with either 60% or 20% fructose) significantly increased postprandial hepatic DNL in women (peak DNL ~20% vs ~7%) but not in men (~7% after both meals) (126). This suggests women are more susceptible to fructose-induced hepatic steatosis and non-alcoholic fatty liver disease. It is worth noting that the stimulatory effect of fructose on DNL is most likely a secondary phenomenon because very little fructose is directly converted to fatty acids and fructose-to-fatty acid conversion was only observed in men but not in women (65). This is consistent with recent findings that suggest fructose metabolism occurs predominantly in the small intestine, where it is converted to glucose, lactate, and glycerol (127).
Myocardial substrate utilization in men and women
A series of elegant studies that used dynamic PET imaging have demonstrated marked differences in myocardial substrate use in men and women. Myocardial oxygen consumption is greater in healthy lean women than healthy lean men and women’s hearts use less glucose and fewer dietary fatty acids as a source of energy than men (106, 128, 129). Obesity reduces myocardial glucose uptake and oxidation in men, but not in women (129). Insulin-stimulated myocardial glucose uptake rate, on the other hand, is not different in healthy young men and women (83). These findings could have important clinical implications, because myocardial perfusion and fuel use are directly linked with cardiac function (130, 131).
Summary and Conclusion
There are marked differences in many aspects of glucose and lipid metabolism in men and women. Women compared with men: i) are more sensitive to the inhibitory effect of insulin on glucose production and the stimulatory effect of insulin on muscle glucose disposal, ii) have greater adipose tissue FFA release relative to fat-free mass and resting energy and are less susceptible to the adverse effect of FFA on insulin action in muscle, iii) have altered meal glucose absorption kinetics, possibly due to different gastric emptying rates (132), iv) have greater basal and postprandial non-oxidative fatty acid disposal and fatty acid storage in adipose tissue and reduced postprandial lipemia, and v) are more susceptible to fructose-induced DNL. Moreover, hepatic and plasma lipid metabolism is markedly affected by sex and the observed metabolic differences between men and women depend on subjects’ adiposity and age. On the other hand, no major differences between men and women have been observed for the antilipolytic effect of insulin and acute glucose-induced insulin secretion. The effect of sex on plasma insulin clearance is unclear because of conflicting results from different studies. We conclude that sex needs to be considered when interpreting data reported in the literature and planning new studies. Carefully designed studies are needed to determine the mechanisms responsible for the observed sexual dimorphism in metabolism and to disentangle the effects of chronological and biological (pre/post menopause) age on metabolism in women.
Acknowledgements
The authors received salary support from NIH grants DK115400, DK121560, DK56341 (Washington University School of Medicine Nutrition and Obesity Research Center), and UL1 TR000448 (Washington University School of Medicine Clinical Translational Science Award), a grant from the American Diabetes Association (ICTS 1-18-ICTS-119), and the Atkins Obesity Award while working on this manuscript.
Footnotes
Conflict of interest
None
References
- 1.Collaborators GBDCoD. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Laslett LJ, Alagona P Jr., Clark BA 3rd, et al. The worldwide environment of cardiovascular disease: prevalence, diagnosis, therapy, and policy issues: a report from the American College of Cardiology. J Am Coll Cardiol. 2012;60(25 Suppl):S1–49. [DOI] [PubMed] [Google Scholar]
- 3.Blackwell D, Villarroel M. Summary Health Statistics for U.S. Adults: 2017 National Health Interview Survey. National Center for Health Statistics. 2018. [Google Scholar]
- 4.Klein S, Wadden T, Sugerman HJ. AGA technical review on obesity. Gastroenterology. 2002;123(3):882–932. [DOI] [PubMed] [Google Scholar]
- 5.Castelli WP. Cholesterol and lipids in the risk of coronary artery disease--the Framingham Heart Study. Can J Cardiol. 1988;4 Suppl A:5A–10A. [PubMed] [Google Scholar]
- 6.Jeppesen J, Hein HO, Suadicani P, Gyntelberg F. Triglyceride concentration and ischemic heart disease: an eight-year follow-up in the Copenhagen Male Study. Circulation. 1998;97(11):1029–36. [DOI] [PubMed] [Google Scholar]
- 7.Abdel-Maksoud MF, Eckel RH, Hamman RF, Hokanson JE. Risk of coronary heart disease is associated with triglycerides and high-density lipoprotein cholesterol in women and non-high-density lipoprotein cholesterol in men. J Clin Lipidol. 2012;6(4):374–81. [DOI] [PubMed] [Google Scholar]
- 8.Ference BA, Kastelein JJP, Ray KK, et al. Association of triglyceride-lowering LPL variants and LDL-C-lowering LDLR variants with risk of coronary heart disease. JAMA. 2019;321(4):364–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Levitan EB, Song Y, Ford ES, Liu S. Is nondiabetic hyperglycemia a risk factor for cardiovascular disease? A meta-analysis of prospective studies. Arch Int Med. 2004;164(19):2147–55. [DOI] [PubMed] [Google Scholar]
- 10.Kannel WB, McGee DL. Diabetes and cardiovascular disease. The Framingham study. JAMA. 1979;241(19):2035–8. [DOI] [PubMed] [Google Scholar]
- 11.Kolovou GD, Watts GF, Mikhailidis DP, et al. Postprandial hypertriglyceridaemia revisited in the era of non-fasting lipid profile testing: a 2019 Expert Panel statement. Curr Vasc Pharmacol. 2019. [DOI] [PubMed] [Google Scholar]
- 12.Wei M, Gaskill SP, Haffner SM, Stern MP. Effects of diabetes and level of glycemia on all-cause and cardiovascular mortality. The San Antonio Heart Study. Diabetes Care. 1998;21(7):1167–72. [DOI] [PubMed] [Google Scholar]
- 13.Nordestgaard BG, Benn M, Schnohr P, Tybjaerg-Hansen A. Nonfasting triglycerides and risk of myocardial infarction, ischemic heart disease, and death in men and women. JAMA. 2007;298(3):299–308. [DOI] [PubMed] [Google Scholar]
- 14.Laakso M, Kuusisto J. Insulin resistance and hyperglycaemia in cardiovascular disease development. Nat Rev Endocrinol. 2014;10(5):293–302. [DOI] [PubMed] [Google Scholar]
- 15.Reusch JE, Wang CC. Cardiovascular disease in diabetes: where does glucose fit in? J Clin Endocrinol Metab. 2011;96(8):2367–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Miller M, Stone NJ, Ballantyne C, et al. Triglycerides and cardiovascular disease: a scientific statement from the American Heart Association. Circulation. 2011;123(20):2292–333. [DOI] [PubMed] [Google Scholar]
- 17.Menke A, Rust KF, Savage PJ, Cowie CC. Hemoglobin A1c, fasting plasma glucose, and 2-hour plasma glucose distributions in U.S. population subgroups: NHANES 2005–2010. Ann Epidemiol. 2014;24(2):83–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Anderwald C, Gastaldelli A, Tura A, et al. Mechanism and effects of glucose absorption during an oral glucose tolerance test among females and males. J Clin Endocrinol Metab. 2011;96(2):515–24. [DOI] [PubMed] [Google Scholar]
- 19.Magkos F, Mohammed BS, Mittendorfer B. Effect of obesity on the plasma lipoprotein subclass profile in normoglycemic and normolipidemic men and women. Int J Obes. 2008;32(11):1655–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Faerch K, Borch-Johnsen K, Vaag A, et al. Sex differences in glucose levels: a consequence of physiology or methodological convenience? The Inter99 study. Diabetologia. 2010;53(5):858–65. [DOI] [PubMed] [Google Scholar]
- 21.Clausen JO, Borch-Johnsen K, Ibsen H, et al. Insulin sensitivity index, acute insulin response, and glucose effectiveness in a population-based sample of 380 young healthy Caucasians. Analysis of the impact of gender, body fat, physical fitness, and life-style factors. J Clin Invest. 1996;98(5):1195–209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Flanagan DE, Holt RI, Owens PC, et al. Gender differences in the insulin-like growth factor axis response to a glucose load. Acta Physiol. 2006;187(3):371–8. [DOI] [PubMed] [Google Scholar]
- 23.Pascot A, Lemieux I, Bergeron J, et al. HDL particle size: a marker of the gender difference in the metabolic risk profile. Atherosclerosis. 2002;160(2):399–406. [DOI] [PubMed] [Google Scholar]
- 24.Wang X, Magkos F, Mittendorfer B. Sex differences in lipid and lipoprotein metabolism: it’s not just about sex hormones. J Clin Endocrinol Metab. 2011;96(4):885–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Jackson KG, Abraham EC, Smith AM, et al. Impact of age and menopausal status on the postprandial triacylglycerol response in healthy women. Atherosclerosis. 2010;208(1):246–52. [DOI] [PubMed] [Google Scholar]
- 26.Tsai SS, Lin YS, Hwang JS, Chu PH. Vital roles of age and metabolic syndrome-associated risk factors in sex-specific arterial stiffness across nearly lifelong ages: Possible implication of menopause and andropause. Atherosclerosis. 2017;258:26–33. [DOI] [PubMed] [Google Scholar]
- 27.Anagnostis P, Stevenson JC, Crook D, et al. Effects of gender, age and menopausal status on serum apolipoprotein concentrations. Clin Endocrinol. 2016;85(5):733–40. [DOI] [PubMed] [Google Scholar]
- 28.Matthews KA, Crawford SL, Chae CU, et al. Are changes in cardiovascular disease risk factors in midlife women due to chronological aging or to the menopausal transition? J Am Coll Cardiol. 2009;54(25):2366–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Peters SA, Huxley RR, Woodward M. Diabetes as risk factor for incident coronary heart disease in women compared with men: a systematic review and meta-analysis of 64 cohorts including 858,507 individuals and 28,203 coronary events. Diabetologia. 2014;57(8):1542–51. [DOI] [PubMed] [Google Scholar]
- 30.Kalyani RR, Lazo M, Ouyang P, et al. Sex differences in diabetes and risk of incident coronary artery disease in healthy young and middle-aged adults. Diabetes Care. 2014;37(3):830–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Skaug EA, Madssen E, Aspenes ST, et al. Cardiovascular risk factors have larger impact on endothelial function in self-reported healthy women than men in the HUNT3 Fitness study. PLoS One. 2014;9(7):e101371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Caviezel S, Dratva J, Schaffner E, et al. Sex-specific associations of cardiovascular risk factors with carotid stiffness--results from the SAPALDIA cohort study. Atherosclerosis. 2014;235(2):576–84. [DOI] [PubMed] [Google Scholar]
- 33.Sone H, Tanaka S, Tanaka S, et al. Comparison of various lipid variables as predictors of coronary heart disease in Japanese men and women with type 2 diabetes: subanalysis of the Japan Diabetes Complications Study. Diabetes Care. 2012;35(5):1150–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Stock J. Triglycerides and cardiovascular risk: apolipoprotein B holds the key. Atherosclerosis. 2019;284:221–2. [DOI] [PubMed] [Google Scholar]
- 35.Navar AM. The evolving story of triglycerides and coronary heart disease risk. JAMA. 2019;321(4):347–9. [DOI] [PubMed] [Google Scholar]
- 36.Manco M, Nolfe G, Pataky Z, et al. Shape of the OGTT glucose curve and risk of impaired glucose metabolism in the EGIR-RISC cohort. Metabolism. 2017;70:42–50. [DOI] [PubMed] [Google Scholar]
- 37.Abdul-Ghani MA, Lyssenko V, Tuomi T, et al. The shape of plasma glucose concentration curve during OGTT predicts future risk of type 2 diabetes. Diabetes Metab Res Rev. 2010;26(4):280–6. [DOI] [PubMed] [Google Scholar]
- 38.Hulman A, Simmons RK, Vistisen D, et al. Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk. Endocrine. 2017;55(2):427–34. [DOI] [PubMed] [Google Scholar]
- 39.Vistisen D, Witte DR, Tabak AG, et al. Sex differences in glucose and insulin trajectories prior to diabetes diagnosis: the Whitehall II study. Acta Diabetol. 2014;51(2):315–9. [DOI] [PubMed] [Google Scholar]
- 40.Trico D, Natali A, Arslanian S, et al. Identification, pathophysiology, and clinical implications of primary insulin hypersecretion in nondiabetic adults and adolescents. JCI Insight. 2018;3(24). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Petersen MC, Shulman GI. Mechanisms of insulin action and insulin resistance. Physiol Rev. 2018;98(4):2133–223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Samuel VT, Shulman GI. The pathogenesis of insulin resistance: integrating signaling pathways and substrate flux. J Clin Invest. 2016;126(1):12–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Petersen MC, Vatner DF, Shulman GI. Regulation of hepatic glucose metabolism in health and disease. Nat Rev Endocrinol. 2017;13(10):572–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Kolterman OG, Insel J, Saekow M, Olefsky JM. Mechanisms of insulin resistance in human obesity: evidence for receptor and postreceptor defects. J Clin Invest. 1980;65(6):1272–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Conte C, Fabbrini E, Kars M, et al. Multiorgan insulin sensitivity in lean and obese subjects. Diabetes Care. 2012;35(6):1316–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Rizza RA, Mandarino LJ, Gerich JE. Dose-response characteristics for effects of insulin on production and utilization of glucose in man. Am J Physiol. 1981;240(6):E630–9. [DOI] [PubMed] [Google Scholar]
- 47.Jensen MD, Nielsen S. Insulin dose response analysis of free fatty acid kinetics. Metabolism. 2007;56(1):68–76. [DOI] [PubMed] [Google Scholar]
- 48.Jensen MD, Caruso M, Heiling V, Miles JM. Insulin regulation of lipolysis in nondiabetic and IDDM subjects. Diabetes. 1989;38(12):1595–601. [DOI] [PubMed] [Google Scholar]
- 49.Sparks JD, Sparks CE, Adeli K. Selective hepatic insulin resistance, VLDL overproduction, and hypertriglyceridemia. Arterioscler Thromb Vasc Biol. 2012;32(9):2104–12. [DOI] [PubMed] [Google Scholar]
- 50.Kim SH, Reaven GM. Insulin clearance: an underappreciated modulator of plasma insulin concentration. J Investig Med. 2016;64(7):1162–5. [DOI] [PubMed] [Google Scholar]
- 51.Rudovich NN, Rochlitz HJ, Pfeiffer AF. Reduced hepatic insulin extraction in response to gastric inhibitory polypeptide compensates for reduced insulin secretion in normal-weight and normal glucose tolerant first-degree relatives of type 2 diabetic patients. Diabetes. 2004;53(9):2359–65. [DOI] [PubMed] [Google Scholar]
- 52.Kahn SE, Prigeon RL, McCulloch DK, et al. Quantification of the relationship between insulin sensitivity and beta-cell function in human subjects. Evidence for a hyperbolic function. Diabetes. 1993;42(11):1663–72. [DOI] [PubMed] [Google Scholar]
- 53.Arner P, Ryden M. Fatty acids, obesity and insulin resistance. Obes Facts. 2015;8(2):147–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Hoeg LD, Sjoberg KA, Jeppesen J, et al. Lipid-induced insulin resistance affects women less than men and is not accompanied by inflammation or impaired proximal insulin signaling. Diabetes. 2011;60(1):64–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.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. [DOI] [PubMed] [Google Scholar]
- 56.Henderson GC, Fattor JA, Horning MA, et al. Glucoregulation is more precise in women than in men during postexercise recovery. Am J Clin Nutr. 2008;87(6):1686–94. [DOI] [PubMed] [Google Scholar]
- 57.Ter Horst KW, Gilijamse PW, de Weijer BA, et al. Sexual dimorphism in hepatic, adipose tissue, and peripheral tissue insulin sensitivity in obese humans. Front Endocrinol. 2015;6:182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Frias JP, Macaraeg GB, Ofrecio J, et al. Decreased susceptibility to fatty acid-induced peripheral tissue insulin resistance in women. Diabetes. 2001;50(6):1344–50. [DOI] [PubMed] [Google Scholar]
- 59.Marliss EB, Kreisman SH, Manzon A, et al. Gender differences in glucoregulatory responses to intense exercise. J Appl Physiol. 2000;88(2):457–66. [DOI] [PubMed] [Google Scholar]
- 60.Carter SL, Rennie C, Tarnopolsky MA. Substrate utilization during endurance exercise in men and women after endurance training. Am J Physiol Endocrinol Metab. 2001;280(6):E898–907. [DOI] [PubMed] [Google Scholar]
- 61.Perreault L, Bergman BC, Hunerdosse DM, Eckel RH. Altered intramuscular lipid metabolism relates to diminished insulin action in men, but not women, in progression to diabetes. Obesity. 2010;18(11):2093–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Yeo SE, Hays NP, Dennis RA, et al. Fat distribution and glucose metabolism in older, obese men and women. J Gerontol A Biol Sci Med Sci. 2007;62(12):1393–401. [DOI] [PubMed] [Google Scholar]
- 63.Honka MJ, Latva-Rasku A, Bucci M, et al. Insulin-stimulated glucose uptake in skeletal muscle, adipose tissue and liver: a positron emission tomography study. Eur J Endocrinol. 2018;178(5):523–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Basu R, Dalla Man C, Campioni M, et al. Effects of age and sex on postprandial glucose metabolism: differences in glucose turnover, insulin secretion, insulin action, and hepatic insulin extraction. Diabetes. 2006;55(7):2001–14. [DOI] [PubMed] [Google Scholar]
- 65.Tran C, Jacot-Descombes D, Lecoultre V, et al. Sex differences in lipid and glucose kinetics after ingestion of an acute oral fructose load. Br J Nutr. 2010;104(8):1139–47. [DOI] [PubMed] [Google Scholar]
- 66.Soeters MR, Sauerwein HP, Groener JE, et al. Gender-related differences in the metabolic response to fasting. J Clin Endocrinol Metab. 2007;92(9):3646–52. [DOI] [PubMed] [Google Scholar]
- 67.Karpe F, Dickmann JR, Frayn KN. Fatty acids, obesity, and insulin resistance: time for a reevaluation. Diabetes. 2011;60(10):2441–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Mittendorfer B, Magkos F, Fabbrini E, et al. Relationship between body fat mass and free fatty acid kinetics in men and women. Obesity. 2009;17(10):1872–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Mittendorfer B, Yoshino M, Patterson BW, Klein S. VLDL triglyceride kinetics in lean, overweight, and obese men and women. J Clin Endocrinol Metab. 2016;101(11):4151–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Mittendorfer B, Liem O, Patterson BW, et al. What does the measurement of whole-body fatty acid rate of appearance in plasma by using a fatty acid tracer really mean? Diabetes. 2003;52(7):1641–8. [DOI] [PubMed] [Google Scholar]
- 71.Nielsen S, Guo Z, Albu JB, et al. Energy expenditure, sex, and endogenous fuel availability in humans. J Clin Invest. 2003;111(7):981–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Magkos F, Patterson BW, Mohammed BS, et al. Women produce fewer but triglyceride-richer very low density lipoproteins than men. J Clin Endocrinol Metab. 2007;92:1311–8. [DOI] [PubMed] [Google Scholar]
- 73.Gallagher D, Heymsfield SB, Heo M, et al. Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr. 2000;72(3):694–701. [DOI] [PubMed] [Google Scholar]
- 74.Oshima S, Miyauchi S, Kawano H, et al. Fat-free mass can be utilized to assess resting energy expenditure for male athletes of different body size. J Nutr Sci Vitaminol. 2011;57(6):394–400. [DOI] [PubMed] [Google Scholar]
- 75.Cunningham JJ. Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation. Am J Clin Nutr. 1991;54(6):963–9. [DOI] [PubMed] [Google Scholar]
- 76.Guerra B, Fuentes T, Delgado-Guerra S, et al. Gender dimorphism in skeletal muscle leptin receptors, serum leptin and insulin sensitivity. PLoS One. 2008;3(10):e3466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Sung KC, Choi JH, Gwon HC, et al. Relationship between insulin resistance and coronary artery calcium in young men and women. PLoS One. 2013;8(1):e53316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Sumner AE, Kushner H, Sherif KD, et al. Sex differences in African-Americans regarding sensitivity to insulin’s glucoregulatory and antilipolytic actions. Diabetes Care. 1999;22(1):71–7. [DOI] [PubMed] [Google Scholar]
- 79.Faerch K, Pacini G, Nolan JJ, et al. Impact of glucose tolerance status, sex, and body size on glucose absorption patterns during OGTTs. Diabetes Care. 2013;36(11):3691–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Chan Z, Chooi YC, Ding C, et al. Sex Differences in glucose and fatty acid metabolism in Asians who are nonobese. J Clin Endocrinol Metab. 2019;104(1):127–36. [DOI] [PubMed] [Google Scholar]
- 81.Boirie Y, Gachon P, Cordat N, et al. Differential insulin sensitivities of glucose, amino acid, and albumin metabolism in elderly men and women. J Clin Endocrinol Metab. 2001;86(2):638–44. [DOI] [PubMed] [Google Scholar]
- 82.Hoeg L, Roepstorff C, Thiele M, et al. Higher intramuscular triacylglycerol in women does not impair insulin sensitivity and proximal insulin signaling. J Appl Physiol. 2009;107(3):824–31. [DOI] [PubMed] [Google Scholar]
- 83.Nuutila P, Knuuti MJ, Maki M, et al. Gender and insulin sensitivity in the heart and in skeletal muscles. Studies using positron emission tomography. Diabetes. 1995;44(1):31–6. [DOI] [PubMed] [Google Scholar]
- 84.Rathmann W, Strassburger K, Giani G, et al. Differences in height explain gender differences in the response to the oral glucose tolerance test. Diabet Med. 2008;25(11):1374–5. [DOI] [PubMed] [Google Scholar]
- 85.Sicree RA, Zimmet PZ, Dunstan DW, et al. Differences in height explain gender differences in the response to the oral glucose tolerance test- the AusDiab study. Diabet Med. 2008;25(3):296–302. [DOI] [PubMed] [Google Scholar]
- 86.DeFronzo RA, Jacot E, Jequier E, et al. The effect of insulin on the disposal of intravenous glucose. Results from indirect calorimetry and hepatic and femoral venous catheterization. Diabetes. 1981;30(12):1000–7. [DOI] [PubMed] [Google Scholar]
- 87.Yki-Jarvinen H, Young AA, Lamkin C, Foley JE. Kinetics of glucose disposal in whole body and across the forearm in man. J Clin Invest. 1987;79(6):1713–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Dadson P, Landini L, Helmio M, et al. Effect of bariatric surgery on adipose tissue glucose metabolism in different depots in patients with or without type 2 diabetes. Diabetes Care. 2016;39(2):292–9. [DOI] [PubMed] [Google Scholar]
- 89.Goodpaster BH, Bertoldo A, Ng JM, et al. Interactions among glucose delivery, transport, and phosphorylation that underlie skeletal muscle insulin resistance in obesity and type 2 Diabetes: studies with dynamic PET imaging. Diabetes. 2014;63(3):1058–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Williams KV, Price JC, Kelley DE. Interactions of impaired glucose transport and phosphorylation in skeletal muscle insulin resistance: a dose-response assessment using positron emission tomography. Diabetes. 2001;50(9):2069–79. [DOI] [PubMed] [Google Scholar]
- 91.Boden G, Chen X, Ruiz J, et al. Mechanisms of fatty acid-induced inhibition of glucose uptake. J Clin Invest. 1994;93(6):2438–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Lee KU, Lee HK, Koh CS, Min HK. Artificial induction of intravascular lipolysis by lipid-heparin infusion leads to insulin resistance in man. Diabetologia. 1988;31(5):285–90. [DOI] [PubMed] [Google Scholar]
- 93.Shah P, Vella A, Basu A, et al. Effects of free fatty acids and glycerol on splanchnic glucose metabolism and insulin extraction in nondiabetic humans. Diabetes. 2002;51(2):301–10. [DOI] [PubMed] [Google Scholar]
- 94.Belfort R, Mandarino L, Kashyap S, et al. Dose-response effect of elevated plasma free fatty acid on insulin signaling. Diabetes. 2005;54(6):1640–8. [DOI] [PubMed] [Google Scholar]
- 95.Gormsen LC, Nielsen C, Jessen N, et al. Time-course effects of physiological free fatty acid surges on insulin sensitivity in humans. Acta Physiol. 2011;201(3):349–56. [DOI] [PubMed] [Google Scholar]
- 96.Vistisen B, Hellgren LI, Vadset T, et al. Effect of gender on lipid-induced insulin resistance in obese subjects. Eur J Endocrinol. 2008;158(1):61–8. [DOI] [PubMed] [Google Scholar]
- 97.Shadid S, Kanaley JA, Sheehan MT, Jensen MD. Basal and insulin-regulated free fatty acid and glucose metabolism in humans. Am J Physiol Endocrinol Metab. 2007;292(6):E1770–4. [DOI] [PubMed] [Google Scholar]
- 98.Millstein RJ, Pyle LL, Bergman BC, et al. Sex-specific differences in insulin resistance in type 1 diabetes: The CACTI cohort. J Diabetes Complications. 2018;32(4):418–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Jensen MD, Nielsen S, Gupta N, et al. Insulin clearance is different in men and women. Metabolism. 2012;61(4):525–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Waldhausl WK, Gasic S, Bratusch-Marrain P, et al. Feedback inhibition by biosynthetic human insulin of insulin release in healthy human subjects. Am J Physiol. 1982;243(6):E476–82. [DOI] [PubMed] [Google Scholar]
- 101.Jensen MD. Gender differences in regional fatty acid metabolism before and after meal ingestion. J Clin Invest. 1995;96(5):2297–303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Koutsari C, Basu R, Rizza RA, Nair KS, Khosla S, Jensen MD. Nonoxidative free fatty acid disposal is greater in young women than men. J Clin Endocrinol Metab. 2011;96(2):541–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Marinou K, Adiels M, Hodson L, et al. Young women partition fatty acids towards ketone body production rather than VLDL-TAG synthesis, compared with young men. Br J Nutr. 2011;105(6):857–65. [DOI] [PubMed] [Google Scholar]
- 104.Santosa S, Hensrud DD, Votruba SB, Jensen MD. The influence of sex and obesity phenotype on meal fatty acid metabolism before and after weight loss. Am J Clin Nutr. 2008;88(4):1134–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Koutsari C, Snozek CL, Jensen MD. Plasma NEFA storage in adipose tissue in the postprandial state: sex-related and regional differences. Diabetologia. 2008;51(11):2041–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Kunach M, Noll C, Phoenix S, Guerin B, et al. Effect of sex and impaired glucose tolerance on organ-specific dietary fatty acid metabolism in humans. Diabetes. 2015;64(7):2432–41. [DOI] [PubMed] [Google Scholar]
- 107.Romanski SA, Nelson RM, Jensen MD. Meal fatty acid uptake in adipose tissue: gender effects in nonobese humans. Am J Physiol Endocrinol Metab. 2000;279(2):E455–62. [DOI] [PubMed] [Google Scholar]
- 108.Votruba SB, Jensen MD. Sex-specific differences in leg fat uptake are revealed with a high-fat meal. Am J Physiol Endocrinol Metab. 2006;291(5):E1115–23. [DOI] [PubMed] [Google Scholar]
- 109.Knuth ND, Horowitz JF. The elevation of ingested lipids within plasma chylomicrons is prolonged in men compared with women. J Nutr. 2006;136(6):1498–503. [DOI] [PubMed] [Google Scholar]
- 110.Pramfalk C, Pavlides M, Banerjee R, et al. Sex-specific differences in hepatic fat oxidation and synthesis may explain the higher propensity for NAFLD in men. J Clin Endocrinol Metab. 2015;100(12):4425–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Nguyen TT, Hernandez Mijares A, Johnson CM, Jensen MD. Postprandial leg and splanchnic fatty acid metabolism in nonobese men and women. Am J Physiol. 1996;271(6 Pt 1):E965–72. [DOI] [PubMed] [Google Scholar]
- 112.Knuth ND, Remias DB, Horowitz JF. Adding carbohydrate to a high-fat meal blunts postprandial lipemia in women and reduces meal-derived fatty acids in systemic circulation. Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme. 2008;33(2):315–25. [DOI] [PubMed] [Google Scholar]
- 113.Westerveld HT, Kock LA, van Rijn HJ, et al. 17 beta-estradiol improves postprandial lipid metabolism in postmenopausal women. J Clin Endocrinol Metab. 1995;80(1):249–53. [DOI] [PubMed] [Google Scholar]
- 114.Iverius PH, Brunzell JD. Relationship between lipoprotein lipase activity and plasma sex steroid level in obese women. J Clin Invest. 1988;82(3):1106–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.van Beek AP, de Ruijter-Heijstek FC, Erkelens DW, de Bruin TW. Menopause is associated with reduced protection from postprandial lipemia. Arterioscler Thromb Vasc Biol. 1999;19(11):2737–41. [DOI] [PubMed] [Google Scholar]
- 116.Santosa S, Jensen MD. Adipocyte fatty acid storage factors enhance subcutaneous fat storage in postmenopausal women. Diabetes. 2013;62(3):775–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Mittendorfer B, Patterson BW, Klein S. Effect of sex and obesity on basal VLDL-triacylglycerol kinetics. Am J Clin Nutr. 2003;77(3):573–9. [DOI] [PubMed] [Google Scholar]
- 118.Magkos F, Fabbrini E, Mohammed BS, et al. Estrogen deficiency after menopause does not result in male very-low-density lipoprotein metabolism phenotype. J Clin Endocrinol Metab. 2010;95(7):3377–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Wang X, Smith GI, Patterson BW, et al. Testosterone increases the muscle protein synthesis rate but does not affect very-low-density lipoprotein metabolism in obese premenopausal women. Am J Physiol Endocrinol Metab. 2012;302(6):E740–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Smith GI, Reeds DN, Okunade AL, et al. Systemic delivery of estradiol, but not testosterone or progesterone, alters very low density lipoprotein-triglyceride kinetics in postmenopausal women. J Clin Endocrinol Metab. 2014;99(7):E1306–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Mittendorfer B, Patterson BW, Klein S, Sidossis LS. VLDL-triglyceride kinetics during hyperglycemia-hyperinsulinemia: effects of sex and obesity. Am J Physiol Endocrinol Metab. 2003;284(4):E708–15. [DOI] [PubMed] [Google Scholar]
- 122.Hodson L, Banerjee R, Rial B, et al. Menopausal status and abdominal obesity are significant determinants of hepatic lipid metabolism in women. J Am Heart Assoc. 2015;4(10):e002258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Pinnick KE, Hodson L. Challenging metabolic tissues with fructose: tissue-specific and sex-specific responses. J Physiol. In PRess (doi: 10.1113/JP277115). [DOI] [PubMed] [Google Scholar]
- 124.Le KA, Faeh D, Stettler R, et al. Effects of four-week high-fructose diet on gene expression in skeletal muscle of healthy men. Diabetes Metab. 2008;34(1):82–5. [DOI] [PubMed] [Google Scholar]
- 125.Schwarz JM, Noworolski SM, Erkin-Cakmak A, et al. Effects of dietary fructose restriction on liver fat, de novo lipogenesis, and insulin kinetics in children with obesity. Gastroenterology. 2017;153(3):743–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Low WS, Cornfield T, Charlton CA, et al. Sex differences in hepatic de novo lipogenesis with acute fructose feeding. Nutrients. 2018;10(9). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Jang C, Hui S, Lu W, et al. The small intestine converts dietary fructose into glucose and organic acids. Cell Metab. 2018;27(2):351–61 e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Peterson LR, Soto PF, Herrero P, et al. Sex differences in myocardial oxygen and glucose metabolism. J Nucl Cardiol. 2007;14(4):573–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Peterson LR, Herrero P, Coggan AR, et al. Type 2 diabetes, obesity, and sex difference affect the fate of glucose in the human heart. Am J Physiol Heart Circ Physiol. 2015;308(12):H1510–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Mather KJ, DeGrado TR. Imaging of myocardial fatty acid oxidation. Biochim Biophys Acta. 2016;1861(10):1535–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Abel ED, O’Shea KM, Ramasamy R. Insulin resistance: metabolic mechanisms and consequences in the heart. Arterioscler Throm Vasc Biol. 2012;32(9):2068–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Hutson WR, Roehrkasse RL, Wald A. Influence of gender and menopause on gastric emptying and motility. Gastroenterology. 1989;96(1):11–7. [DOI] [PubMed] [Google Scholar]