Amy S. Shah

Proteomic diversity of high density lipoproteins: our emerging understanding of its importance in lipid transport and beyond

Recent applications of mass spectrometry technology have dramatically increased our understanding of the proteomic diversity of high density lipoproteins (HDL). Depending on the method of HDL isolation, upwards of 85 proteins have been identified, and the list continues to grow. In addition to proteins consistent with traditionally accepted roles in lipid transport, HDL carries surprising constituents, such as members of the complement pathway, protease inhibitors involved in hemostasis, acute-phase response proteins, immune function mediators, and even metal-binding proteins. This compositional diversity fits well with hundreds of studies demonstrating a wide functional pleiotrophy, including roles in lipid transport, oxidation, inflammation, hemostasis, and immunity. This review summarizes the progression of our understanding of HDL proteomic complexity and points out key experimental observations that reinforce the functional diversity of HDL. The possibility of specific HDL subspecies with distinct functions, the evidence supporting this concept, and some of the best examples of experimentally defined HDL subspecies are also discussed. Finally, key challenges facing the field are highlighted, particularly the need to identify and define the function of HDL subspecies to better inform attempts to pharmacologically manipulate HDL for the benefit of cardiovascular disease and possibly other maladies.

Cardiovascular Disease Risk Factors in Youth With Diabetes Mellitus A Scientific Statement From the American Heart Association

The rates of both type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) are increasing in youth.1 In the past 10 years, guidelines for the identification and management of cardiovascular disease (CVD) risk factors in youth with diabetes mellitus have been published by multiple professional organizations, including the American Diabetes Association (ADA),2,3 the American Heart Association (AHA),4,5 the American Academy of Pediatrics,6 the International Society of Pediatric and Adolescent Diabetes (ISPAD),7 and the Pediatric Cardiovascular Risk Reduction Initiative.8 This scientific statement summarizes and interprets these guidelines and new developments in the field in the past decade and outlines future research and clinical needs to improve cardiovascular health and risk factor management in youth with diabetes mellitus. Additional goals for this statement are to increase awareness of CVD risk factors and their identification, prevention, and treatment and to improve cardiovascular health in youth with diabetes mellitus by encouraging advancement in research and clinical care, including understanding and implementing current CVD guidelines. Improving cardiovascular health in youth with diabetes mellitus has important public health implications; therefore, this statement aims to reach healthcare providers in diabetes mellitus, cardiology, and related fields. (Note: The sections within this scientific statement are organized by diabetes mellitus type, when possible, with brief summary statements concluding each section. Multiple definitions for CVD are used in the cited articles. Readers of this statement should include risk factors, surrogate markers, and end-organ damage under this umbrella term of CVD.) ### Type 1 Diabetes Mellitus Multiple studies document an increase of 2% to 5% annually in the incidence of T1DM worldwide.9 The SEARCH for Diabetes in Youth (SEARCH) study estimated that there were 166 018 to 179 388 youth with T1DM in the United States in 2010.1 Worldwide, rates of T1DM differ …

Influence of Duration of Diabetes, Glycemic Control, and Traditional Cardiovascular Risk Factors on Early Atherosclerotic Vascular Changes in Adolescents and Young Adults with Type 2 Diabetes Mellitus

BACKGROUND Carotid intima-media thickness (IMT) provides a mechanism for detecting early atherosclerosis. Little information is available concerning carotid IMT and the progression of atherosclerosis in adolescents and young adults with type 2 diabetes mellitus. OBJECTIVE We sought to determine the factors that contribute to early changes in carotid IMT in youth with type 2 diabetes mellitus and to identify any predictors of increased carotid IMT. METHODS Demographic, anthropometric, laboratory data and carotid imaging were obtained in 129 youth of mixed ethnicity, ages 10-23 yr. Associations of carotid IMT outcomes and risk variables were analyzed by regression analysis. Logistic regression was performed to elucidate independent determinants that predict a worse carotid IMT. RESULTS Carotid IMT increased with higher glycosylated hemoglobin (HbA1c) levels and longer duration of diabetes. Regression modeling showed that HbA1c and duration of diabetes in the presence of traditional cardiovascular risk factors (male sex, LDL cholesterol, and blood pressure) were independent determinants of carotid IMT. Logistic regression analysis demonstrated that each 1% increase in HbA1c or each year increase in duration of type 2 diabetes mellitus is associated with approximately 30% increased odds of a thicker carotid IMT. CONCLUSIONS Poorer glycemic control and longer disease duration have independent adverse effects on carotid IMT in youth with type 2 diabetes mellitus. These adverse effects appear to be more prominent in males. Developing effective strategies to improve blood glucose control in youth with type 2 diabetes mellitus is essential to prevent or limit the development and progression of atherosclerotic cardiovascular disease.

The effects of obesity and type 2 diabetes mellitus on cardiac structure and function in adolescents and young adults.

Aims/hypothesisWe sought to evaluate the effects of obesity and obesity-related type 2 diabetes mellitus on cardiac geometry (remodelling) and systolic and diastolic function in adolescents and young adults.MethodsCardiac structure and function were compared by echocardiography in participants who were lean, obese or obese with type 2 diabetes (obese diabetic), in a cross sectional study. Group differences were assessed using ANOVA. Independent determinants of cardiac outcome measures were evaluated with general linear models.ResultsAdolescents with obesity and obesity-related type 2 diabetes were found to have abnormal cardiac geometry compared with lean controls (16% and 20% vs <1%, p < 0.05). These two groups also had increased systolic function. Diastolic function decreased from the lean to obese to obese diabetic groups with the lowest diastolic function observed in the obese diabetic group (p < 0.05). Regression analysis showed that group, BMI z score (BMIz), group × BMIz interaction and systolic BP z score (BPz) were significant determinants of cardiac structure, while group, BMIz, systolic BPz, age and fasting glucose were significant determinants of the diastolic function (all p < 0.05).Conclusions/interpretationAdolescents with obesity and obesity-related type 2 diabetes demonstrate changes in cardiac geometry consistent with cardiac remodelling. These two groups also demonstrate decreased diastolic function compared with lean controls, with the greatest decrease observed in those with type 2 diabetes. Adults with diastolic dysfunction are known to be at increased risk of progressing to heart failure. Therefore, our findings suggest that adolescents with obesity-related type 2 diabetes may be at increased risk of progressing to early heart failure compared with their obese and lean counterparts.

The Effects of Type 2 Diabetes on Lipoprotein Composition and Arterial Stiffness in Male Youth

Recent studies suggest HDL exists as numerous subpopulations with distinct protein/lipid compositions that are not reflected in the HDL cholesterol (HDL-C) number. In this study, we sought to evaluate HDL subpopulations in adolescents with type 2 diabetes (T2D) to determine if changes in HDL composition are associated with early vascular disease. T2D (n = 10), lean (n = 9), and obese (n = 11) youth were recruited. Plasma was fractionated using gel-filtration chromatography, and lipid-associated proteins were identified using mass spectrometry. Concurrently, vascular stiffness was assessed using pulse wave velocity (PWV). We found youth with T2D exhibited decreased phospholipid content in fractions containing large HDL particles that was inversely associated with PWV (P < 0.001). No association was noted between HDL-C and PWV. Proteomic analysis revealed changes in 7 of 45 identified proteins in the T2D group, including apolipoprotein (apo) A-II, apoE, and paraoxonase-1 (P < 0.05). Our data demonstrate early changes in the lipid and protein compositions of specific HDL subspecies in adolescents with T2D that are related to early markers of arterial disease. These findings suggest that analyzing the composition of HDL, rather than HDL-C, may be useful in assessing cardiovascular risk in this population.

Glucose control predicts 2-year change in lipid profile in youth with type 1 diabetes.

OBJECTIVE To test the hypothesis that a change in glycated hemoglobin (A1c) over a follow-up interval of approximately 2 years would be associated with concomitant changes in fasting lipids in individuals with type 1 diabetes (T1D). STUDY DESIGN All subjects with T1D diagnosed in 2002-2005 in the SEARCH for Diabetes in Youth study with at least 2 study visits ∼12 and ∼24 months after an initial visit were included (age at initial visit, 10.6 ± 4.1 years; 48% female; diabetes duration, 10 ± 7 months; 76% non-Hispanic white; A1c = 7.7% ± 1.4%). Longitudinal mixed models were fit to examine the relationship between change in A1c and change in lipid levels (total cholesterol [TC], high-density lipoprotein-cholesterol [HDL-c], low-density lipoprotein-cholesterol [LDL-c], log triglycerides [TG], and non-HDL-c) with adjustment for possible confounders. RESULTS Change in A1c over time was significantly associated with changes in TC, HDL-c, LDL-c, TG, and non-HDL-c over the range of A1c values. For example, for a person with an A1c of 10% and then a 2% decrease in A1c 2 years later (to 8%), the model predicted concomitant changes in TC (-0.29 mmol/L, -11.4 mg/dL), HDL-c (0.03 mmol/L, 1.3 mg/dL), LDL-c (-0.23 mmol/L, -9.0 mg/dL), and non-HDL-c (-0.32 mmol/L, -12.4 mg/dL) and an 8.5% decrease in TG (mmol/L). CONCLUSIONS Improved glucose control over a 2-year follow-up was associated with a more favorable lipid profile but may be insufficient to normalize lipids in dyslipidemic T1D youth needing to decrease lipids to goal.

Multi-dimensional Co-separation Analysis Reveals Protein–Protein Interactions Defining Plasma Lipoprotein Subspecies

The distribution of circulating lipoprotein particles affects the risk for cardiovascular disease (CVD) in humans. Lipoproteins are historically defined by their density, with low-density lipoproteins positively and high-density lipoproteins (HDLs) negatively associated with CVD risk in large populations. However, these broad definitions tend to obscure the remarkable heterogeneity within each class. Evidence indicates that each class is composed of physically (size, density, charge) and compositionally (protein and lipid) distinct subclasses exhibiting unique functionalities and differing effects on disease. HDLs in particular contain upward of 85 proteins of widely varying function that are differentially distributed across a broad range of particle diameters. We hypothesized that the plasma lipoproteins, particularly HDL, represent a continuum of phospholipid platforms that facilitate specific protein–protein interactions. To test this idea, we separated normal human plasma using three techniques that exploit different lipoprotein physicochemical properties (gel filtration chromatography, ionic exchange chromatography, and preparative isoelectric focusing). We then tracked the co-separation of 76 lipid-associated proteins via mass spectrometry and applied a summed correlation analysis to identify protein pairs that may co-reside on individual lipoproteins. The analysis produced 2701 pairing scores, with the top hits representing previously known protein–protein interactions as well as numerous unknown pairings. A network analysis revealed clusters of proteins with related functions, particularly lipid transport and complement regulation. The specific co-separation of protein pairs or clusters suggests the existence of stable lipoprotein subspecies that may carry out distinct functions. Further characterization of the composition and function of these subspecies may point to better targeted therapeutics aimed at CVD or other diseases.

Effect of Type 1 Diabetes on Carotid Structure and Function in Adolescents and Young Adults: The SEARCH CVD study

OBJECTIVE Type 1 diabetes mellitus causes increased carotid intima-media thickness (IMT) in adults. We evaluated IMT in young subjects with type 1 diabetes. RESEARCH DESIGN AND METHODS Participants with type 1 diabetes (N = 402) were matched to controls (N = 206) by age, sex, and race or ethnicity. Anthropometric and laboratory values, blood pressure, and IMT were measured. ANCOVA was used to assess differences controlling for demographic risk factors, cardiovascular risk factors, and HbA1c. RESULTS Subjects were 18.9 ± 3.3 years old (50% male, 82.7% non-Hispanic white). Youth with type 1 diabetes had thicker bulb IMT, which remained significantly different after adjustment for demographics and cardiovascular risk factors. Age, sex, adiposity, and systolic blood pressure were consistent significant determinants of IMT. Adjustment for HbA1c eliminated the difference, suggesting the difference was attributable to poor glycemic control. CONCLUSIONS Carotid IMT may be increased in youth with type 1 diabetes at high risk for cardiovascular disease. Better control of diabetes may be essential in preventing progression of atherosclerosis.

Prediabetes: The Effects on Arterial Thickness and Stiffness in Obese Youth

OBJECTIVE Adults with prediabetes are at increased risk to develop cardiovascular disease. Whether prediabetes in adolescents is associated with early markers of cardiovascular disease is not known. We sought to 1) compare the cardiovascular risk profiles among adolescents and young adults with prediabetes with those with normal glucose tolerance and 2) determine whether prediabetes is independently associated with noninvasive measures of arterial thickness and stiffness. RESEARCH DESIGN AND METHODS We studied 102 obese youth with prediabetes and 139 obese youth with normal glucose tolerance in a cross-sectional study. Prediabetes or at increased diabetes risk was diagnosed by a fasting blood glucose level of ≥100 to 125 mg/dL, 2-hour oral glucose tolerance test value of ≥140 to 199 mg/dL, or a hemoglobin A1c (HbA1c) value of ≥5.7% to 6.4%. Arterial thickness and stiffness were measured by carotid intima-media thickness (IMT), augmentation index, pulse wave velocity, and brachial distensibility (BrachD). RESULTS Nearly 50% of youth were diagnosed with prediabetes by HbA1c. Youth with prediabetes had worse metabolic profiles with higher BMI z score, systolic blood pressure, and fasting insulin; increased carotid IMT; and lower BrachD compared with normal glucose-tolerant youth (P < .05). Multivariate regression analysis found prediabetes was a significant determinant of internal carotid IMT and BrachD (P < .05). After excluding youth diagnosed by HbA1c, the prediabetes group was borderline significant for internal carotid IMT (.1 > P ≥ .05) only. CONCLUSIONS Youth with prediabetes have worse cardiometabolic risk factors and evidence of increased arterial thickness and stiffness. Interventions to prevent prediabetes are crucial to reduce the development of early arterial disease.

A Comparison of the Mouse and Human Lipoproteome: Suitability of the Mouse Model for Studies of Human Lipoproteins

Plasma levels of low density lipoproteins (LDL) and high density lipoproteins (HDL) exhibit opposing associations with cardiovascular disease in human populations and mouse models have been heavily used to derive a mechanistic understanding of these relationships. In humans, recent mass spectrometry studies have revealed that the plasma lipoproteome is significantly more complex than originally appreciated. This is particularly true for HDL which contains some 90 distinct proteins, a majority of which play functional roles that go beyond those expected for simple lipid transport. Unfortunately, the mouse lipoproteome remains largely uncharacterized-a significant gap given the heavy reliance on the model. Using a gel filtration chromatography and mass spectrometry analysis that targets phospholipid-bound plasma proteins, we compared the mouse lipoproteome and its size distribution to a previous, identical human analysis. We identified 113 lipid associated proteins in the mouse. In general, the protein diversity in the LDL and HDL size ranges was similar in mice versus humans, though some distinct differences were noted. For the majority of proteins, the size distributions, that is, whether a given protein was associated with large versus small HDL particles, for example, were also similar between species. Again, however, there were clear differences exhibited by a minority of proteins that may reflect metabolic differences between species. Finally, by correlating the lipid and protein size profiles, we identified five proteins that closely track with the major HDL protein, apolipoprotein A-I across both species. Thus, mice have most of the minor proteins identified in human lipoproteins that play key roles in inflammation, innate immunity, proteolysis and its inhibition, and vitamin transport. This provides support for the continued use of the mouse as a model for many aspects of human lipoprotein metabolism.