Inflammatory markers and cardiovascular risks among overweight-obese Emirati women

Metabolic Syndrome in an Aging Society - Role of Oxidant-Antioxidant Imbalance and Inflammation Markers in Disentangling Atherosclerosis

INTRODUCTION

The prevalence of metabolic syndrome among the elderly population is growing. The elements of metabolic syndrome in an aging society are currently being researched. Atherosclerosis is a slow process in which the first symptoms may be observed after many years. The mechanisms underlying the progression of atherosclerosis are oxidative stress and inflammation. Inflammation and oxidative stress are associated with the increased incidence of metabolic syndrome. Taking the above into consideration, metabolic syndrome is thought to be a clinical equivalent of atherosclerosis.

AIM

The aim of this paper is to review the impact of the interplay of oxidant-antioxidant and inflammation markers in metabolic syndrome in general as well as its components in the pathophysiology which underlies development of atherosclerosis in elderly individuals.

METHODS

A systematic scan of online resources designed for elderly (≥65 years) published from 2005 to the end of 2020 were reviewed. This was supplemented with grey literature and then all resources were narratively analyzed. The analysis included the following terms: "atherosclerosis or metabolic syndrome" and "oxidative stress or inflammation" and "elderly" to find reports of atherosclerotic disease from asymptomatic to life-threatening among the elderly population with metabolic syndrome .

RESULTS

The work summarizes articles that were applicable to this study, including systematic reviews, qualitative studies and opinion pieces. Current knowledge focuses on monitoring the inflammation and oxidant-antioxidant imbalance in disentangling atherosclerosis in patients diagnosed with metabolic syndrome. The population-based studies described inflammation, increased oxidative stress and weak antioxidant defense systems as the mechanisms underlying atherosclerosis development. Moreover, there are discussions that these targets could potentially be a point of intervention to reduce the development of atherosclerosis in the elderly, especially those with altered glucose and lipid metabolism. Specific markers may be used as an approach for the prevention and lifestyle modification of atherosclerotic disease in such population.

CONCLUSION

Metabolic syndrome and its components are important contributors in the progression of atherosclerotic disease in the elderly population but constant efforts should be made to broaden our knowledge of elderly groups who are the most susceptible for the development of atherosclerosis complications.

Multimarker Assessment of Diastolic Dysfunction in Metabolic Syndrome Patients

BACKGROUND

Metabolic syndrome (MetS) has been associated with left ventricular diastolic dysfunction (LVDD) with preserved systolic function. This study aims at identifying the predictive factors for LVDD in MetS patients.

METHODS

The studied group comprised 72 consecutive hospitalized patients (2010-2011) diagnosed with MetS based on AHA/NHLBI/IDF 2009 definition, free of cardiovascular disease (36.11% males, age 59.19 ± 5.26 years), who underwent echocardiographic examination. Laboratory measurements of high-sensitivity C-reactive protein (hs-CRP), fibrinogen (Fbg) and interleukin-6 (IL-6), 8-isoprostaglandin-F2alpa (8-isoPGF2α), uric acid, glutathione peroxidases, and N-terminal pro-B-type natriuretic peptide (NT-proBNP) were measured.

RESULTS

LVDD was identified in 47 (65.27%) of the MetS patients. The diastolic blood pressure (DBP) was the strongest prediction factor for LVDD (areas under the receiver operating curve [AUC]: 0.73, odds ratios [OR]: 1.065). The number of MetS criteria was also significantly predictive for LVDD (AUC: 0.65, OR: 2.029, P < 0.04). IL-6, hs-CRP, Fbg, and NT-proBNP were predictive for LVDD when receiver operating curve (ROC) analyses were used. The multimarker model comprising age, sex, SBP and DBP, waist, circumference, triglycerides along with hs-CRP, IL-6, and NT-proBNP had the best predictive capacity (AUC: 0.88, P = 0.0001). In multivariate analysis, IL-6 remained an independent predictive biomarker for LVDD (OR: 2.045).

CONCLUSION

Both MetS components and biomarkers of inflammation (IF) are predictive factors for LVDD. The best predictive multimarker model for LVDD in MetS patients is composed of waist, triglycerides (TGL), SBP, DBP, fasting glucose, IL-6, hs-CRP, and NT-proBNP. IL-6 remains an independent predictive biomarker for LVDD in MetS patients, underlining the importance of IF in the evolution of MetS to subclinical cardiac damage.

Intermediate and low abundant protein analysis of vitamin D deficient obese and non-obese subjects by MALDI-profiling

Obesity is a pathological condition caused by genetic and environmental factors, including vitamin D deficiency, which increases the risk of developing cardiovascular disorders and diabetes. This case-control study was designed to verify whether serum profiles could be identified differentiating obese and non-obese Saudis characterized by vitamin D deficiency and pathological levels of triglycerides, high-density lipoprotein cholesterol and high total cholesterol levels. The serum protein profiles of 64 vitamin D deficient (serum 25(OH)D < 50nmol/L) individuals with metabolic syndrome and with (n = 31; BMI ≥ 30) or without (n = 33; BMI < 30) obesity were analyzed by a quantitative label-free mass spectrometry approach (MALDI-profiling), combined with different serum immunodepletion strategies (Human7 and Human14 immuno-chromatographies), to analyze the intermediate- and low-abundant protein components. The analysis of intermediate-abundant proteins (Human7) in obese vs. non-obese subjects identified 14 changed peaks (p < 0.05) in the m/z range 1500–35000. Furthermore, the Human14 depletion provided new profiles related to obesity (121 changed peaks). Among changed peaks, 11 were identified in the m/z range 1500–4000 Da by high-resolution tandem mass spectrometry, belonging to apolipoprotein CIII, apolipoprotein B100, alpha-1-antichymotrypsin and complement C3. Data herein show that distinct protein profiles identify specific peptides belonging to lipid metabolism and inflammation processes that are associated with obesity and vitamin D deficiency.