A novel assay to measure low-density lipoproteins binding to proteoglycans.

BACKGROUND: The binding of low-density lipoprotein (LDL) to proteoglycans (PGs) in the extracellular matrix (ECM) of the arterial intima is a key initial step in the development of atherosclerosis. Although many techniques have been developed to assess this binding, most of the methods are labor-intensive and technically challenging to standardize across research laboratories. Thus, sensitive, and reproducible assay to detect LDL binding to PGs is needed to screen clinical populations for atherosclerosis risk. OBJECTIVES: The aim of this study was to develop a quantitative, and reproducible assay to evaluate the affinity of LDL towards PGs and to replicate previously published results on LDL-PG binding. METHODS: Immunofluorescence microscopy was performed to visualize the binding of LDL to PGs using mouse vascular smooth muscle (MOVAS) cells. An in-cell ELISA (ICE) was also developed and optimized to quantitatively measure LDL-PG binding using fixed MOVAS cells cultured in a 96-well format. RESULTS: We used the ICE assay to show that, despite equal APOB concentrations, LDL isolated from adults with cardiovascular disease bound to PG to a greater extent than LDL isolated from adults without cardiovascular disease (p<0.05). CONCLUSION: We have developed an LDL-PG binding assay that is capable of detecting differences in PG binding affinities despite equal APOB concentrations. Future work will focus on candidate apolipoproteins that enhance or diminish this interaction.

Presurgery health influences outcomes following vertical sleeve gastrectomy in adolescents.

OBJECTIVE: Weight loss following vertical sleeve gastrectomy (VSG) in youth can range from 10% to 50%. We examined whether there are differences in demographic or metabolic parameters before VSG in youth who achieve above-average weight loss (AAWL) versus below-average weight loss (BAWL) at 1 year post VSG and if youth with BAWL still achieve metabolic health improvements at 1 year post VSG. METHODS: Demographic, anthropometric, and clinical lab data were collected before VSG and at 1, 3, 6, and 12 months after VSG. RESULTS: Forty-three youth with a mean age of 16.9 (SD 1.7) years before VSG were studied; 70% were female, 19% non-Hispanic Black, 58% non-Hispanic White, and 23% mixed/other race. Mean baseline BMI was 51.1 (SD 10.5) kg/m2. Average weight loss was 25.8%. The AAWL group lost 18.6 kg/m2 (35.3%) versus the BAWL group, who lost 8.8 kg/m2 (17.5%). BMI, age, race, sex, and socioeconomic status at baseline were similar between AAWL and BAWL groups; however, the BAWL group had a higher frequency of pre-VSG dysglycemia, steatotic liver disease, and dyslipidemia. At 1 year post VSG, fewer youth in the BAWL group achieved ideal health parameters, and they had less resolution of comorbidities. CONCLUSIONS: The presence of comorbidities before VSG is associated with less weight loss and reduced resolution of metabolic conditions at 1 year post VSG.

Development and Implementation of a Multidisciplinary Clinic Focused on the Care of Adolescents with Youth-Onset Type 2 Diabetes.

Introduction: Diabetes self-management education and lifestyle interventions are the cornerstones of type 2 diabetes (T2D) care; however, the higher risk of comorbidities among youth with T2D requires a comprehensive care model. Traditionally, sub-specialty care relies on a referral model placing the burden on patients/families. In response, we developed a pediatric T2D multidisciplinary clinic (MDC)-A single physical location where patients can access various sub-specialists. The goals of the MDC are to aid with lifestyle modifications and provide referral/access to sub-specialists within the MDC, as determined through screening labs and assessment tools. Methods: We conducted a retrospective chart review of youth seen in the T2D MDC clinic at Cincinnati Children's Hospital from 1/2020 to 12/2021. We evaluated the frequency that youth met with each specialist and completion rates of annual screening labs. Results: The cohort consisted of 227 youth with T2D (mean age 17.6 years, mean BMI 40.9kg/m2, 64% female, 50% Black or African American, 65% public insurance). All patients met with a diabetes provider and 81.2% met with a registered dietitian/certified diabetes education specialist. Exercise physiology met with 51.5% of patients, gastroenterology met with 34.8% of patients, social work met with 44.1% of patients, clinical psychology met with 27.3% of patients, and bariatric surgery met with 9.7% of patients. Percent completion of annual labs were: 98.2% for HbA1c, 84.6% for urine microalbumin, 83.7% for lipids, 90% for liver function, 59.5% for retinopathy, and 45.4% for the Patient Health Questionnaire-9. Conclusion: The majority of patients received diabetes and nutrition education and annual screening labs. Exercise counseling and sub-specialty care remain below 60% in part due to services not being available at every MDC. Our goals are to increase access to subspecialty care within the MDC's and consider additional care delivery methods to provide comprehensive care to youth with T2D.

Associations of Genetically Predicted Lp(a) (Lipoprotein [a]) Levels With Cardiovascular Traits in Individuals of European and African Ancestry.

BACKGROUND: Lp(a) (lipoprotein [a]) levels are higher in individuals of African ancestry (AA) than in individuals of European ancestry (EA). We examined associations of genetically predicted Lp(a) levels with (1) atherosclerotic cardiovascular disease subtypes: coronary heart disease, cerebrovascular disease, peripheral artery disease, and abdominal aortic aneurysm and (2) nonatherosclerotic cardiovascular disease phenotypes, stratified by ancestry. METHODS: We performed (1) Mendelian randomization analyses for previously reported cardiovascular associations and (2) Mendelian randomization-phenome-wide association analyses for novel associations. Analyses were stratified by ancestry in electronic Medical Records and Genomics, United Kingdom Biobank, and Million Veteran Program cohorts separately and in a combined cohort of 804 507 EA and 103 580 AA participants. RESULTS: In Mendelian randomization analyses using the combined cohort, a 1-SD genetic increase in Lp(a) level was associated with atherosclerotic cardiovascular disease subtypes in EA-odds ratio and 95% CI for coronary heart disease 1.28 (1.16-1.41); cerebrovascular disease 1.14 (1.07-1.21); peripheral artery disease 1.22 (1.11-1.34); abdominal aortic aneurysm 1.28 (1.17-1.40); in AA, the effect estimate was lower than in EA and nonsignificant for coronary heart disease 1.11 (0.99-1.24) and cerebrovascular disease 1.06 (0.99-1.14) but similar for peripheral artery disease 1.16 (1.01-1.33) and abdominal aortic aneurysm 1.34 (1.11-1.62). In EA, a 1-SD genetic increase in Lp(a) level was associated with aortic valve disorders 1.34 (1.10-1.62), mitral valve disorders 1.18 (1.09-1.27), congestive heart failure 1.12 (1.05-1.19), and chronic kidney disease 1.07 (1.01-1.14). In AA, no significant associations were noted for aortic valve disorders 1.08 (0.94-1.25), mitral valve disorders 1.02 (0.89-1.16), congestive heart failure 1.02 (0.95-1.10), or chronic kidney disease 1.05 (0.99-1.12). Mendelian randomization-phenome-wide association analyses identified novel associations in EA with arterial thromboembolic disease, nonaortic aneurysmal disease, atrial fibrillation, cardiac conduction disorders, and hypertension. CONCLUSIONS: Many cardiovascular associations of genetically increased Lp(a) that were significant in EA were not significant in AA. Lp(a) was associated with atherosclerotic cardiovascular disease in four major arterial beds in EA but only with peripheral artery disease and abdominal aortic aneurysm in AA. Additionally, novel cardiovascular associations were detected in EA.

Cardiovascular risk and heart rate variability in young adults with type 2 diabetes and arterial stiffness: The SEARCH for Diabetes in Youth Study.

AIMS: To evaluate cardiovascular risk factors and heart rate variability (HRV) in young adults with type 2 diabetes and arterial stiffness and to explore the relationship between HRV and arterial stiffness. METHODS: We studied 185 young adults with youth-onset T2D enrolled in the SEARCH for Diabetes in Youth Study. Cardiovascular risk factors and HRV were compared between individuals with and without type 2 diabetes and arterial stiffness (defined as a pulse wave velocity greater than the 90th percentile of healthy controls, >6.767 m/s). Semiparametric regression evaluated the independent relationship between HRV and PWV. RESULTS: Participants with T2D and arterial stiffness were more likely to be older, non-Hispanic Black, have higher systolic and diastolic blood pressure, greater adiposity and obesity-related dyslipidemia (higher triglycerides and lower HDLC). Participants with T2D and arterial stiffness also had lower overall HRV (lower SDNN) with parasympathetic loss (lower RMSSD and PNN50), p < 0.05. Lower HRV tended to be but was not significantly associated with arterial stiffness after adjustment for age, race/ethnicity, sex and cardiovascular risk factors (beta coefficient = -1.11, p = 0.08). CONCLUSIONS: Youth with T2D and arterial stiffness have a worse cardiovascular risk profile, specifically risk factors related to the metabolic syndrome and lower HRV.

A phenome-wide association study to discover pleiotropic effects of PCSK9, APOB, and LDLR.

We conducted an electronic health record (EHR)-based phenome-wide association study (PheWAS) to discover pleiotropic effects of variants in three lipoprotein metabolism genes PCSK9, APOB, and LDLR. Using high-density genotype data, we tested the associations of variants in the three genes with 1232 EHR-derived binary phecodes in 51,700 European-ancestry (EA) individuals and 585 phecodes in 10,276 African-ancestry (AA) individuals; 457 PCSK9, 730 APOB, and 720 LDLR variants were filtered by imputation quality (r 2 > 0.4), minor allele frequency (>1%), linkage disequilibrium (r 2 < 0.3), and association with LDL-C levels, yielding a set of two PCSK9, three APOB, and five LDLR variants in EA but no variants in AA. Cases and controls were defined for each phecode using the PheWAS package in R. Logistic regression assuming an additive genetic model was used with adjustment for age, sex, and the first two principal components. Significant associations were tested in additional cohorts from Vanderbilt University (n = 29,713), the Marshfield Clinic Personalized Medicine Research Project (n = 9562), and UK Biobank (n = 408,455). We identified one PCSK9, two APOB, and two LDLR variants significantly associated with an examined phecode. Only one of the variants was associated with a non-lipid disease phecode, ("myopia") but this association was not significant in the replication cohorts. In this large-scale PheWAS we did not find LDL-C-related variants in PCSK9, APOB, and LDLR to be associated with non-lipid-related phenotypes including diabetes, neurocognitive disorders, or cataracts.