Dyslipidemia is associated with increased arterial stiffness (AS) which may lead to hypertension. Among the methods to assess AS are carotid-femoral and brachial-ankle pulse wave velocity. Dyslipidemia is also known to trigger inflammation. C-reactive protein (CRP) is one of the commonest inflammatory markers measured in the clinical setting. However, the association between inflammation and pulse wave velocity (PWV) in people with dyslipidemia is less studied. Therefore, this review investigated the association between inflammation (as measured by CRP) and PWV in dyslipidemia patients. The search of the literature was conducted via PubMed and Scopus database. The keywords used were “aortic stiffness” OR “arterial stiffness” OR “pulse wave velocity” OR “vascular stiffness” OR “carotid femoral pulse wave velocity” OR “pulse wave analysis” AND “inflammation” OR “c reactive protein” OR “c-reactive protein” OR “high sensitivity c reactive protein” AND “dyslipidemia” OR “hyperlipidemia” OR “hypercholesterolemia” OR “hyperlipoproteinemia” OR “hypertriglyceridemia”. The following criteria were used: (1) only full-length original articles published in English language, (2) articles that reported the association between arterial stiffness measured as carotid-femoral PWV (cfPWV) or brachial-ankle PWV (baPWV) and CRP or high-sensitivity CRP, and (3) study involving human subjects. The search identified 957 articles published between 1980 and February 2020. Only eight articles fulfilled the inclusion criteria and were used for data extraction. Five of the studies were cross-sectional studies while another three studies were interventional studies. Seven out of eight papers found a significant positive association between AS and CRP, and the correlation ranged from mild to moderate association (Pearson r=0.33 to r=0.624). In conclusion, inflammation is associated with increased PWV in patients with dyslipidemia. This supports the involvement of inflammation in the development of AS in dyslipidemia.

Finger photoplethysmography (PPG) waveform is blood volume change of finger microcirculation that reflects vascular function. Reflection index (RI), stiffness index (SI) and second derivative of photoplethysmogram (SDPPG) are derived from PPG waveforms proposed as cardiovascular disease (CVD) markers. Heart rate (HR) is a known factor that affects vascular function. Individual resting HR variation may affect RI, SI and SDPPG. This review aims to identify studies about the relationship between HR with RI, SI and SDPPG among humans. A literature search was conducted in Medline via the Ebscohost and Scopus databases to find relevant articles published within 11 years. The main inclusion criteria were articles in the English language that discuss the relationship between HR with RI, SI and SDPPG using PPG among humans. The search found 1960 relevant articles but only six articles that met the inclusion criteria. SI and RI showed an association with HR. SDPPG (SDPPG-b/SDPPG-a ratio, SDPPG-d/SDPPG-a ratio, aging index (AGI) and revised aging index (RAGI)) also had an association with HR. Only RI had a considerable association with HR, the association between SI and HR was non-considerable and the association between HR and SDPPG was inconclusive. Further interventional studies should be conducted to investigate this issue, as a variation in resting HR may challenge the validity of PPG-based CVD markers.

Background/Objectives: Vascular function measurements, including central parameters [pulse wave velocity (PWV) and augmentation index (AI)], as well as peripheral measures [finger photoplethysmography fitness index (PPGF)], have been introduced to detect early vascular damage associated with coronary artery disease (CAD) risk factors. This study aimed to compare peripheral and central vascular function marker levels among subjects with hypertension (HPT), dyslipidemia, and obesity. We also aimed to determine the relationship between these markers and CAD risk factors among these groups. Methods: A total of 320 subjects including healthy individuals and those with CAD risk factors were recruited. Peripheral vascular function was assessed using the PPGF, whereas central vascular markers included measurements of PWV and AI. The Framingham risk score (FRS) was calculated using an online calculator. Results: The mean age of the subjects was 33.73 ± 7.29 years. PWV and AI were significantly higher in HPT subjects (8.03 ± 1.40 m/s and 21.90% ± 10.57%) than the control. PPGF levels showed no significant differences between the groups. PWV was associated with FRS in the HPT and dyslipidemia groups, whereas AI was associated with FRS in the obese group. PPGF showed associations with PWV and AI in the dyslipidemia group. Conclusions: PWV and AI serve as robust macrovascular markers indicating arterial stiffness and systemic vascular resistance linked to CAD risk, while PPGF, as a microvascular marker, offers valuable insights into early endothelial dysfunction and microcirculatory anomalies, especially in dyslipidemia subjects.

The main objective of the present study was to evaluate the association of changes in body composition with changes in systemic oxidative stress markers among obese adults participating in a weight loss program. Thirty four obese adults were recruited from the Obesity Clinic, Hospital Universiti Sains Malaysia (USM) to voluntarily participate in a weight loss program comprising of physical exercise and dietary modification. Levels/activities of oxidative stress markers were measured before and after the program. Mean body weight, body mass index (BMI), waist circumference (WC), hip circumference (HC) and percentage of body fat mass decreased significantly while mean body lean mass and body water increased significantly after the weight loss program. Plasma glutathione peroxidase (GPx) activity and 4- hydroxynonenal (4-HNE) concentration increased significantly while other enzymatic antioxidant activities such as catalase (CAT) and superoxide dismutase (SOD) were not significantly increased. The ratio of reduced glutathione (GSH) to oxidized glutathione (GSSG) was significantly decreased. There was no significant association between changes in body composition and changes in systemic oxidative stress markers among obese adults. In conclusion, changes in body composition were not associated with changes in systemic oxidative stress markers among obese adults.