Which Nutritional Factors Are Good for HDL?

Association between metabolic syndrome and salivary MMP-8, myeloperoxidase in periodontitis

OBJECTIVE

This study investigated the effect of metabolic syndrome (MetS) on periodontal clinical parameters and salivary biomarkers' matrix metalloproteinase-8 (MMP-8) and myeloperoxidase (MPO) in patients with periodontitis.

METHODS

A total of 120 participants aged 25-55 were categorized into three groups: MetS with periodontitis (n = 40); systemically healthy with periodontitis (n = 40); and systemically and periodontally healthy controls (n = 40). Data collected included systemic parameters like waist circumference (WC), blood pressure (BP), high- and low-density lipoproteins, triglycerides (TG), fasting blood sugar (FBS), and glycated hemoglobin (HbA1c). Periodontal parameters estimated included bleeding on probing score (BoP), full-mouth plaque score (FMPS), periodontal probing depth (PPD), clinical attachment loss (CAL), and the number of missing teeth. Unstimulated whole saliva was analyzed via ELISA for active MMP-8 (aMMP-8), total MMP-8 (tMMP-8), and MPO.

RESULTS

Participants with MetS and periodontitis exhibited significantly higher periodontal parameters, salivary aMMP-8, and MPO (26.26 vs. 24.1 ng/mL and 13.53 vs. 11.55 ng/mL compared to systemically healthy periodontitis patients) (all p < 0.01). Positive correlations occurred between aMMP-8 and WC, TG, and FBS (p < 0.01), and between MPO and WC, BP, and TG (p < 0.01).

CONCLUSIONS

The positive associations between these biomarkers and metabolic parameters indicate their potential utility for monitoring cardiovascular and glycemic risk in patients with periodontal disease.

Evaluation of diagnostic parameters in detecting prediabetes in a cohort of Syrian healthcare providers and staff: correlations with risk factors

Diabetes is spreading more rapidly in lower-middle-income countries like Syria. Early prevention programs are crucial and achievable through identification, treatment, and revision of prediabetes. Evaluation of hyperglycemia diagnostic parameters (FPG, OGTT, HbA1c) in detecting prediabetes was executed through three phases of screening asymptomatic adults and applying the parameters sequentially. Relationships with risk factors from the American Diabetes Association (ADA) were assessed. Correlations amongst lipid profile (total cholesterol, LDL, HDL, and TG) and hyperglycemic parameters were additionally explored. Participants (212) were mainly males (60.4%), married (61.5%), healthcare providers (28.8%), and had first-degree relatives with diabetes (32%). 10.6% had hypertension, 6.8% had dyslipidemia, and 10.7% of the female participants had PCO. Following the ADA criteria, 18% and 1.9% of the participants were diagnosed with prediabetes and diabetes, respectively. The cohort of participants with prediabetes and diabetes had higher percentage of first-degree relative with diabetes (70%), obesity (55%), hypertension (25%), dyslipidemia (15%), and PCO in females (20%). They were mainly professors (40%) and healthcare providers (25%). Interrelations amongst the hyperglycemic parameters were revealed, also with lipids and risk factors mainly age, BMI, familial diabetes, dyslipidemia, and hypertension. Reports on prediabetes are scarce in Syria. This study, one of a few on the topic, investigated the hyperglycemic parameters in detecting prediabetes and revealed the prevalence and the correlation with risk factors and lipids. It adds substantial information to our understanding of the intertwined associations of the studied variables.

Atherogenic Lipoproteins for the Statin Residual Cardiovascular Disease Risk

Randomized controlled trials (RCTs) show that decreases in low-density lipoprotein cholesterol (LDL-C) by the use of statins cause a significant reduction in the development of cardiovascular disease (CVD). However, one of our previous studies showed that, among eight RCTs that investigated the effect of statins vs. a placebo on CVD development, 56–79% of patients had residual CVD risk after the trials. In three RCTs that investigated the effect of a high dose vs. a usual dose of statins on CVD development, 78–87% of patients in the high-dose statin arms still had residual CVD risk. The risk of CVD development remains even when statins are used to strongly reduce LDL-C, and this type of risk is now regarded as statin residual CVD risk. Our study shows that elevated triglyceride (TG) levels, reduced high-density lipoprotein cholesterol (HDL-C), and the existence of obesity/insulin resistance and diabetes may be important metabolic factors that determine statin residual CVD risk. Here, we discuss atherogenic lipoproteins that were not investigated in such RCTs, such as lipoprotein (a) (Lp(a)), remnant lipoproteins, malondialdehyde-modified LDL (MDA-LDL), and small-dense LDL (Sd-LDL). Lp(a) is under strong genetic control by apolipoprotein (a), which is an LPA gene locus. Variations in the LPA gene account for 91% of the variability in the plasma concentration of Lp(a). A meta-analysis showed that genetic variations at the LPA locus are associated with CVD events during statin therapy, independent of the extent of LDL lowering, providing support for exploring strategies targeting circulating concentrations of Lp(a) to reduce CVD events in patients receiving statins. Remnant lipoproteins and small-dense LDL are highly associated with high TG levels, low HDL-C, and obesity/insulin resistance. MDA-LDL is a representative form of oxidized LDL and plays important roles in the formation and development of the primary lesions of atherosclerosis. MDA-LDL levels were higher in CVD patients and diabetic patients than in the control subjects. Furthermore, we demonstrated the atherogenic properties of such lipoproteins and their association with CVD as well as therapeutic approaches.

Limited Association between the Total Healthy Eating Index-2015 Score and Cardiovascular Risk Factors in Individuals with Long-Standing Spinal Cord Injury: An Exploratory Study: An Exploratory Study

BACKGROUND

The healthy eating index-2015 (HEI-2015) reflects diet quality in reference to the 2015-2020 Dietary Guidelines for Americans (DGA). Little is known regarding its application in individuals with chronic spinal cord injury (SCI).

OBJECTIVE

To explore the relationship between diet quality as assessed by the HEI-2015 and cardiovascular risk factors among individuals with chronic SCI.

DESIGN

This is a cross-sectional analysis of baseline data collected from August 2017 through November 2019 for an interventional study that evaluates the effects of a high-protein/low-carbohydrate diet on cardiovascular risk factors in individuals with chronic SCI at the University of Alabama at Birmingham.

PARTICIPANTS/SETTING

Twenty-four free-living adults with SCI (mean age, 45 ± 12 y; 8F/16M, level of injury: nine cervical, 15 thoracic; mean duration of injury: 20 ± 13 y) were included.

MAIN OUTCOME MEASURES

Participants underwent a 2-hour oral glucose tolerance test (OGTT) and a dual-energy x-ray absorptiometry scan. Dietary intake was assessed by three, 24-hour multiple-pass dietary recalls to calculate the HEI-2015 using the simple HEI scoring algorithm method.

DATA ANALYSIS

Multiple linear regression analyses were performed to predict indices of lipid metabolism and glucose homeostasis and C-reactive protein (CRP) from the HEI-2015. Principal component analysis was used to reduce the number of covariates (level of injury, sex, and body fat percentage).

RESULTS

On average, participants' diets were of low quality (HEI-2015, 47.2 ± 10.8). The regression models for fasting glucose (FG), cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and CRP had moderate to large effect sizes (adjusted R² ≥ 13%), suggesting good explanatory abilities of the predictors. Small or limited effect sizes were observed for glucose tolerance, fasting insulin, triglycerides, and Matsuda index (adjusted R² < 13%). The HEI-2015 accounted for a moderate amount of variation in FG (partial omega-squared, ω_P² = 13%). Each 10-point HEI-2015 score increase was associated with a 3.3-mg/dL decrease in FG concentrations. The HEI-2015 accounted for a limited amount of variation in other indices (ω_P² < 5%).

CONCLUSIONS

Among participants with SCI, higher conformance to the 2015-2020 DGA was 1) moderately associated with better FG homeostasis; and 2) trivially associated with other cardiovascular risk factors. Because of the small sample size, these conclusions cannot be extrapolated beyond the study sample. Future larger studies are warranted to better understand the relationship between diet quality and cardiovascular disease risks in this population.