Endothelium-Derived Factors Influence Differentiation of Fat-Derived Stromal Cells Post-Exercise in Subjects with Prediabetes

Exercise for patients with chronic kidney disease: from cells to systems to function

Chronic kidney disease (CKD) is among the leading causes of death and disability, affecting an estimated 800 million adults globally. The underlying pathophysiology of CKD is complex creating challenges to its management. Primary risk factors for the development and progression of CKD include diabetes mellitus, hypertension, age, obesity, diet, inflammation, and physical inactivity. The high prevalence of diabetes and hypertension in patients with CKD increases the risk for secondary consequences such as cardiovascular disease and peripheral neuropathy. Moreover, the increased prevalence of obesity and chronic levels of systemic inflammation in CKD have downstream effects on critical cellular functions regulating homeostasis. The combination of these factors results in the deterioration of health and functional capacity in those living with CKD. Exercise offers protective benefits for the maintenance of health and function with age, even in the presence of CKD. Despite accumulating data supporting the implementation of exercise for the promotion of health and function in patients with CKD, a thorough description of the responses and adaptations to exercise at the cellular, system, and whole body levels is currently lacking. Therefore, the purpose of this review is to provide an up-to-date comprehensive review of the effects of exercise training on vascular endothelial progenitor cells at the cellular level; cardiovascular, musculoskeletal, and neural factors at the system level; and physical function, frailty, and fatigability at the whole body level in patients with CKD.

Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies

Introduction

Several studies have explored the effect of anthropometric risk factors on metabolic syndrome. However, no systematic effort has explored the effect of overweight and obesity on the prevalence of metabolic syndrome in India. Thus, we undertook a meta-analysis to estimate the effect of anthropometric risk factors on the prevalence of metabolic syndrome.

Methods

We searched databases PubMed Central, EMBASE, MEDLINE, and Cochrane library and search engines ScienceDirect and Google Scholar, from January 1964 through March 2021. We used the Newcastle–Ottawa scale to assess the quality of published studies, conducted a meta-analysis with a random-effects model, and reported pooled odds ratios (OR) with 95% CIs.

Results

We analyzed 26 studies with a total of 37,965 participants. Most studies had good to satisfactory quality on the Newcastle–Ottawa scale. Participants who were overweight (pooled OR, 5.47; 95% CI, 3.70–8.09) or obese (pooled OR, 5.00; 95% CI, 3.61–6.93) had higher odds of having metabolic syndrome than those of normal or low body weight. Sensitivity analysis showed no significant variation in the magnitude or direction of outcome, indicating the lack of influence of a single study on the overall pooled estimate.

Conclusion

Overweight and obesity are significantly associated with metabolic syndrome. On the basis of evidence, clinicians and policy makers should implement weight reduction strategies among patients and the general population.

Lipid Profile Changes Associated with SGLT-2 Inhibitors and GLP-1 Agonists in Diabetes and Metabolic Syndrome

The introduction of sodium glucose transporter-2 inhibitors and glucagon-like peptide-1 receptor agonists in type 2 diabetes mellitus treatment has shown an unexpectedly significant improvement in heart disease outcome trials. Although they have very different modes of action, a portion of the salutary cardiovascular disease improvement may be related to their impact on diabetic dyslipidemia. As discussed in this focused review, the sodium glucose transporter-2 inhibitors as a class show a mild increase in low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol levels, while triglycerides (TG) decrease inconsistently. In particular, the rise in LDL appears to be related to the less atherogenic, large buoyant LDL particles. The glucagon-like peptide-1 receptor agonists show more of an impact on weight loss and improvement in the underlying low HDL and high TG dyslipidemia. The effect of sodium glucose transporter-2 inhibitors and glucagon-like peptide 1 receptor agonists when used in combination remains largely unknown. Also unexplored is difference in effect of these medications among various ethnicities and metabolic syndrome.

Association between behavioural risk factors and metabolic syndrome among adult population in India: A systematic review and meta-analysis of observational studies

AIMS

The impact of behavioural risk factors on the metabolic syndrome has not been well understood by the researchers. This information is important to the policymakers for developing effective strategies and implement relevant policies or programs. Hence, we undertook this meta-analysis to estimate the effect of behavioural risk factors on the burden of metabolic syndrome.

DATA SYNTHESIS

We conducted a search in the databases, such as PubMed Central, EMBASE, MEDLINE, and Cochrane library, and search engines, such as ScienceDirect and Google Scholar, from inception until March 2021. We used the Newcastle-Ottawa Scale (NOS) to assess the quality of published studies. We carried out a meta-analysis with random-effects model and reported pooled odds ratio (OR) with 95% confidence interval (CI). In total, we analysed 30 studies with 41,090 participants. The majority of the studies had good to satisfactory quality as per NOS. Physical activity had a statistically significant association with the prevalence of metabolic syndrome (pooled OR = 1.57; 95%CI: 1.28 to 1.93, I² = 91%). However, smoking (pooled OR = 0.96; 95%CI: 0.75 to 1.23, I² = 90.5%) and alcohol (pooled OR = 1.00; 95%CI: 0.75 to 1.33, I² = 90.8%) did not reveal a statistically significant association with the burden of metabolic syndrome.

CONCLUSION

Physical inactivity was found to be a significant risk factor for metabolic syndrome. Given the evidence, it is important that the clinicians and policymakers are alike to recommend regular physical activity among the patients and general population.

Using adult stem cells to monitor endothelial dysfunction in diabetes mellitus

Diabetes affects approximately 10.5% of adults in the United States and this is projected to nearly double by 2025. Both type 2 diabetes (T2DM) and obesity are associated with endothelial dysfunction, oxidative stress, endothelial cell inflammation, cardiovascular pro-thrombotic states and are the most common causes of endothelial dysfunction, chronic kidney disease (CKD) and cardiovascular disease (CVD). Lately several new diabetes medications have come to clinical use that claim CVD risk improvement, however modalities used to test and monitor CVD risk are not cell based, which bring into question the reproducibility of these studies. Our review is designed to highlight cardiovascular risk reduction with novel diabetes medications while emphasizing cellular outcomes as a biomarker of cardiovascular risk. We are going to highlight studies that comment on peripheral blood derived CD34+ hematopoietic progenitor cells, as biomarkers of endothelial function. CD34+ cells have been extensively investigated by us and several other laboratories for the last two decades, as a viable cardiovascular function biomarker. In this context we will also discuss relevant CVD risk reduction trials that used novel diabetes medications.

Adult Stem Cells: Beyond Regenerative Tool, More as a Bio-Marker in Obesity and Diabetes

Obesity, diabetes, and cardiovascular diseases are increasing rapidly worldwide and it is therefore important to know the effect of exercise and medications for diabetes and obesity on adult stem cells. Adult stem cells play a major role in remodeling and tissue regeneration. In this review we will focus mainly on two adult stem/progenitor cells such as endothelial progenitor cells and mesenchymal stromal cells in relation to aerobic exercise and diabetes medications, both of which can alter the course of regeneration and tissue remodelling. These two adult precursor and stem cells are easily obtained from peripheral blood or adipose tissue depots, as the case may be and are precursors to endothelium and mesenchymal tissue (fat, bone, muscle, and cartilage). They both are key players in maintenance of cardiovascular and metabolic homeostasis and can act also as useful biomarkers.

Physical Activity, Cardiorespiratory Fitness, and the Metabolic Syndrome

Both observational and interventional studies suggest an important role for physical activity and higher fitness in mitigating the metabolic syndrome. Each component of the metabolic syndrome is, to a certain extent, favorably influenced by interventions that include physical activity. Given that the prevalence of the metabolic syndrome and its individual components (particularly obesity and insulin resistance) has increased significantly in recent decades, guidelines from various professional organizations have called for greater efforts to reduce the incidence of this condition and its components. While physical activity interventions that lead to improved fitness cannot be expected to normalize insulin resistance, lipid disorders, or obesity, the combined effect of increasing activity on these risk markers, an improvement in fitness, or both, has been shown to have a major impact on health outcomes related to the metabolic syndrome. Exercise therapy is a cost-effective intervention to both prevent and mitigate the impact of the metabolic syndrome, but it remains underutilized. In the current article, an overview of the effects of physical activity and higher fitness on the metabolic syndrome is provided, along with a discussion of the mechanisms underlying the benefits of being more fit or more physically active in the prevention and treatment of the metabolic syndrome.