The Role of Selenium in Atherosclerosis Development, Progression, Prevention and Treatment

Advancements of ROS-based biomaterials for sensorineural hearing loss therapy

Sensorineural hearing loss (SNHL) represents a substantial global health challenge, primarily driven by oxidative stress-induced damage within the auditory system. Excessive reactive oxygen species (ROS) play a pivotal role in this pathological process, leading to cellular damage and apoptosis of cochlear hair cells, culminating in irreversible hearing impairment. Recent advancements have introduced ROS-scavenging biomaterials as innovative, multifunctional platforms capable of mitigating oxidative stress. This comprehensive review systematically explores the mechanisms of ROS-mediated oxidative stress in SNHL, emphasizing etiological factors such as aging, acoustic trauma, and ototoxic medication exposure. Furthermore, it examines the therapeutic potential of ROS-scavenging biomaterials, positioning them as promising nanomedicines for targeted antioxidant intervention. By critically assessing recent advances in biomaterial design and functionality, this review thoroughly evaluates their translational potential for clinical applications. It also addresses the challenges and limitations of ROS-neutralizing strategies, while highlighting the transformative potential of these biomaterials in developing novel SNHL treatment modalities. This review advocates for continued research and development to integrate ROS-scavenging biomaterials into future clinical practice, aiming to address the unmet needs in SNHL management and potentially revolutionize the treatment landscape for this pervasive health issue.

Recent advancements in the application of multi-elemental profiling and ionomics in cardiovascular diseases

BACKGROUND

Trace elements and minerals are crucial for human growth and health, whose imbalance is associated with a variety of diseases. Recently, multi-elemental profiling and ionomics have been rapidly developed and widely used to study the distribution, variation, and interactions of various elements in diverse physiological and pathological conditions. By utilizing high-throughput elemental analytical techniques and bioinformatics approaches, researchers can uncover the relationship between the metabolism and balance of different elements and numerous human diseases.

METHODS

The presented work reviews recent advances in multi-elemental and ionomic profiling of human biological samples for several major types of cardiovascular diseases.

RESULTS

Research indicates distinct and dynamic patterns of ion contents in these diseases. Accumulation of copper and environmental toxic metals as well as deficiencies in zinc and selenium appear to be the most significant risk factors for the majority of cardiovascular diseases, suggesting that an imbalance in these elements may play a role in the development of these illnesses. Furthermore, each type of cardiovascular disease exhibits a relatively unique distribution of ions in biofluid and hair samples from patients, potentially serving as indicators for the specific disease.

CONCLUSION

Multi-elemental profiling and ionomics not only enhance our understanding of the association between elemental dyshomeostasis and the development of cardiovascular diseases but also facilitate the discovery of novel diagnostic and prognostic markers for these conditions.

A comprehensive review on selenium and blood pressure: Recent advances and research perspectives

BACKGROUND

Globally, approximately 31.1 % of adults are affected by hypertension(HTN), and there is currently no effective treatment for this condition. Selenium (Se), an essential trace element in the human body, has been shown to play a role in various biological processes, including anti-inflammation, antioxidative stress, anti-ferroptosis, and regulation of immune response. Research suggests that Se may have potential hypotensive effects.

OBJECTIVE

This review aims to comprehensively investigate the relationship between Se and blood pressure(BP), elucidate the mechanisms through which Se influences BP, and explore its prospective applications in clinical practice.

METHODS

We conducted a systematic search on PubMed for a thorough review of articles concerning the relationship between Se and BP, as well as the mechanisms by which Se may lower BP.

RESULTS AND CONCLUSIONS

Although some findings indicate that Se might increase BP, its anti-inflammatory, anti-oxidant, anti-vascular remodeling, anti-atherosclerotic, anti-ferroptosis, and regulation of immune response effects suggest that maintaining an appropriate level of Se may contribute to BP reduction and possibly lower the risk of pregnancy-induced hypertension(PIH). While Se shows promise in the management of HTN, further exploration is necessary for its development. Future studies should clarify the mechanisms involved and identify relevant targets through clinical research, which may provide adjunctive therapies for HTN.

Diselenide Nanogels Modulate Mitochondrial Function and Mitigate Oxidative Stress in Cardiomyocytes for Enhanced Cardiac Repair

Mitochondrial dysfunction and oxidative stress are pivotal factors contributing to the loss of cardiac function following heart injury, yet these aspects are frequently underappreciated in the medication design paradigm. Here we have developed diselenide-cross-linked zwitterionic nanogels to restore mitochondrial homeostasis and boost energy supply for damaged heart repair. These nanogels exhibit an enhanced circulation time within the bloodstream post systemic administration and have been observed to concentrate at the site of the damaged myocardium in both myocardial infarct (MI) rat model and cardiotoxic mouse model. Our mechanistic investigations have revealed that these nanogels have the capacity to mitigate the oxidative microenvironment, thereby preserving the mitochondrial function of cardiomyocytes. Moreover, the degradation products of these nanogels have been shown to upregulate intracellular ATP synthesis, which in turn increases cardiac contractility and promotes the recovery of cardiac function. The innovative nanogel system presented herein holds significant potential for clinical translation, offering a therapeutic strategy for the restoration of cardiac function and a fresh perspective on maintaining energy metabolism homeostasis in the treatment of heart injury.

Selenium-Doped Copper Formate Nanozymes with Antisenescence and Oxidative Stress Reduction for Atherosclerosis Treatment

Atherosclerosis, resulting from chronic inflammation of the arterial wall, serves as the underlying cause of multiple major cardiovascular diseases. Current anti-inflammatory therapies often exhibit limited and unsatisfactory efficacy. To address this, we have designed a selenium-doped copper formate (Cuf-Se) nanozyme for the treatment of atherosclerosis, which possesses superoxide dismutase (SOD) and glutathione peroxidase (GPx)-like activities. The Cuf-Se can efficiently scavenge reactive oxygen species (ROS), inhibit cellular senescence, and prevent the formation of foam cells. It acts on macrophages to reduce cellular ROS levels and lipid oxidation, thereby significantly inhibiting inflammation-related processes. Notably, while inhibiting foam cell formation, Cuf-Se also alleviates endothelial cells senescence. After intravenous administration, Cuf-Se effectively inhibits the formation of atherosclerosis in mice through the synergistic effects of antisenescence and antioxidant properties, reducing plaque area by approximately 5-fold. This study provides an effective strategy for the treatment of atherosclerosis.

Effects of Sodium Selenate on Growth, Selenium Forms, and Nutritional Quality of Chlorella pyrenoidosa

In this study, C. pyrenoidosa were cultured with seven different concentrations of Na2SeO4 (0-10 mg/L), and the effects of Na2SeO4 on the growth, Se-forms, and nutritional quality of C. pyrenoidosa were explored. The results showed that at the concentration of 0.5 mg/L Na2SeO4, the C. pyrenoidosa were plump and healthy; the contents of biomass, soluble protein, lipids, and TPUFA reached the highest level; the total Se content in C. pyrenoidosa increased with the increasing Na2SeO4 concentrations. However, the proportion of organic Se in C. pyrenoidosa. reached the highest value of 87.58% at the concentration of 0.5 mg/L Na2SeO4. Among organic Se forms, SeMet accounted for the largest proportion, while MeSeCys accounted for a relatively smaller proportion, but SeCys2 was not detected. The addition of Na2SeO4 (except for ≤0.5 mg/L) reduced the contents of photosynthetic pigments in C. pyrenoidosa. In addition, the antioxidant capacity of C. pyrenoidosa first increased and then decreased with the increasing Na2SeO4 concentrations, but different enzymes exhibited different tolerances to Na2SeO4. Based on the above research results, 0.5 mg/L Na2SeO4 concentration is recommended for the production of Se-rich C. pyrenoidosa. Our findings will provide a theoretical basis and practical references for the development of Se-rich C. pyrenoidosa health care products.

Metabolic Syndrome, Thyroid Dysfunction, and Cardiovascular Risk: The Triptych of Evil

The triad formed by thyroid dysfunction, metabolic syndrome (MetS), and cardiovascular (CV) risk forms a network with many connections that aggravates health outcomes. Thyroid hormones (THs) play an important role in glucose and lipid metabolism and hemodynamic regulation at the molecular level. It is noteworthy that a bidirectional association between THs and MetS and their components likely exists as MetS leads to thyroid dysfunction, whereas thyroid alterations may cause a higher incidence of MetS. Thyroid dysfunction increases insulin resistance, the circulating levels of lipids, in particular LDL-C, VLDL-C, and triglycerides, and induces endothelial dysfunction. Furthermore, THs are important regulators of both white and brown adipose tissue. Moreover, the pathophysiological relationship between MetS and TH dysfunction is made even tighter considering that these conditions are usually associated with inflammatory activation and increased oxidative stress. Therefore, the role of THs takes place starting from the molecular level, then manifesting itself at the clinical level, through an increased risk of CV events in the general population as well as in patients with heart failure or acute myocardial infarction. Thus, MetS is frequently associated with thyroid dysfunction, which supports the need to assess thyroid function in this group, and when clinically indicated, to correct it to maintain euthyroidism. However, there are still several critical points to be further investigated both at the molecular and clinical level, in particular considering the need to treat subclinical dysthyroidism in MetS patients.

Association between copper intake and essential hypertension: dual evidence from Mendelian randomization analysis and the NHANES database

Background

Although previous studies have identified an association between trace elements and essential hypertension, the specific trace elements involved and the mechanisms of their association remain unclear. This study aimed to elucidate the relationship between various human trace elements and essential hypertension, thereby addressing existing gaps in the research.

Methods

This study employed two-sample, multivariate, and inverse Mendelian randomization (MR) analyses to investigate the causal relationship between 15 human trace elements as exposure factors and essential hypertension as the outcome. The analysis revealed a statistically significant association between copper intake and essential hypertension. Further validation was conducted using logistic regression models based on data from the National Health and Nutrition Examination Survey (NHANES).

Results

Eighteen trace elements were initially identified through searches in the GWAS database and PubMed. After screening, 15 trace elements were selected as potential exposure factors. MR analysis, utilizing the 2021 genome-wide dataset for essential hypertension, identified copper as a risk factor, showing a positive association with hypertension. Subsequent logistic regression analyses based on NHANES data further confirmed a significant association between dietary copper intake and the risk of essential hypertension, except for the 0.80-1.08 mg/d group in model 3 (p < 0.05). Restricted cubic spline (RCS) analysis indicated a nonlinear relationship between copper intake and the risk of developing essential hypertension.

Conclusion

This study demonstrates a significant association between copper intake and the development of essential hypertension. The findings suggest that higher copper intake is linked to an increased risk of hypertension, underscoring the need to monitor copper intake levels in the prevention and management of this condition.

Machine learning-driven risk assessment of coronary heart disease: Analysis of NHANES data from 1999 to 2018

OBJECTIVES

The high incidence of coronary artery heart disease (CHD) poses a significant burden and challenge to public health systems globally. Effective prevention and early diagnosis of CHD have become key strategies to alleviate this burden. This study aims to explore the application of advanced machine learning techniques to enhance the accuracy of early screening and risk assessment for CHD.

METHODS

A total of 49 490 study subjects from the National Health and Nutrition Examination Survey (NHANES) database spanning from 1999 to 2018 were included. The dataset was randomly divided into training (70%) and testing (30%) sets. The dependent variable (outcome variable) was whether the subjects were informed of a CHD diagnosis, categorizing them into a CHD group and a non-CHD group. We reviewed the literature on risk factors associated with CHD, ultimately including 68 independent variables. The variable characteristics of the study subjects were analyzed, comparing differences between the CHD and non-CHD groups. Machine learning algorithms, specifically random forest (randomForest_4.7-1.1) and XGBoost (xgboost_1.7.7.1) were utilized for variable selection. A comprehensive analysis of the top 10 variables identified by these 2 algorithms were conducted, selecting those mutually recognized by both. A generalized linear model was used to analyze the relationships between variables and CHD, and classical logistic regression was used to construct the CHD risk prediction model. The model's ability to distinguish between CHD and non-CHD individuals was assessed using the area under the receiver operating characteristic curve (AUC); calibration measurements were conducted with the Hosmer-Lemeshow goodness-of-fit test to evaluate the consistency between predicted values and actual CHD proportions; and decision curve analysis was applied to evaluate the clinical benefits of the model's risk prediction. Finally, a nomogram was constructed to visually present the risk scoring of the final model.

RESULTS

The mean age of the overall population was (49.53±18.31) years, with males comprising 51.8%. Compared to the non-CHD group, the CHD group was older [(69.05± 11.32) years vs (48.67±18.07) years, P<0.001], had a higher proportion of females (67.1% vs 47.4%, P<0.001), and exhibited statistically significant differences in classical cardiovascular risk factors such as body mass index, systolic blood pressure, diastolic blood pressure, and smoking (all P<0.001). Additionally, there were statistically significant differences in non-classical cardiovascular factors, such as energy intake, vitamins E, vitamin K, calcium, phosphorus, magnesium, zinc, copper, sodium, potassium, and selenium (all P<0.05). Six key variables most associated with CHD occurrence were ultimately identified. The CHD risk prediction model constructed was as follows: logit(p)= -7.783+0.074×age+0.003×creatinine-0.003×platelets+0.257×glycated hemoglobin+0.003× uric acid+0.101×coefficient of variation of red cell distribution width. The model demonstrated excellent discriminative ability in predicting CHD, with an accuracy of 0.712 and an AUC of 0.841. Calibration curves indicated good consistency between predicted probabilities and actual values in both the training and testing sets, demonstrating model stability and reliability. Decision curve analysis suggested that the model provided net benefits across a range of threshold probabilities, supporting its potential application in clinical decision-making.

CONCLUSIONS

This study successfully identified potential risk factors for CHD using machine learning techniques and developed a concise and practical clinical prediction model. Further prospective clinical cohort studies are needed to validate its potential for clinical application, enabling effective cardiovascular disease prevention and intervention strategies in real-world healthcare settings.

Machine learning models identify micronutrient intake as predictors of undiagnosed hypertension among rural community-dwelling older adults in Thailand: a cross-sectional study

Objective

To develop a predictive model for undiagnosed hypertension (UHTN) in older adults based on five modifiable factors [eating behaviors, emotion, exercise, stopping smoking, and stopping drinking alcohol (3E2S) using machine learning (ML) algorithms.

Methods

The supervised ML models [random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGB)] with SHapley Additive exPlanations (SHAP) prioritization and conventional statistics (χ2 and binary logistic regression) were employed to predict UHTN from 5,288 health records of older adults from ten primary care hospitals in Thailand.

Results

The χ2 analyses showed that age and eating behavior were the predicting features of UHTN occurrence. The binary logistic regression revealed that taking food supplements/vitamins, using seasoning powder, and eating bean products were related to normotensive and hypertensive classifications. The RF, XGB, and SVM accuracy were 0.90, 0.89, and 0.57, respectively. The SHAP identified the importance of salt intake and food/vitamin supplements. Vitamin B6, B12, and selenium in the UHTN were lower than in the normotensive group.

Conclusion

ML indicates that salt intake, soybean consumption, and food/vitamin supplements are primary factors for UHTN classification in older adults.

Exploring the Link between Oxidative Stress, Selenium Levels, and Obesity in Youth

Obesity is a worldwide increasing concern. Although in adults this is easily estimated with the body mass index, in children, who are constantly growing and whose bodies are changing, the reference points to assess weight status are age and gender, and need corroboration with complementary data, making their quantification highly difficult. The present review explores the interaction spectrum of oxidative stress, selenium status, and obesity in children and adolescents. Any factor related to oxidative stress that triggers obesity and, conversely, obesity that induces oxidative stress are part of a vicious circle, a complex chain of mechanisms that derive from each other and reinforce each other with serious health consequences. Selenium and its compounds exhibit key antioxidant activity and also have a significant role in the nutritional evaluation of obese children. The balance of selenium intake, retention, and metabolism emerges as a vital aspect of health, reflecting the complex interactions between diet, oxidative stress, and obesity. Understanding whether selenium status is a contributor to or a consequence of obesity could inform nutritional interventions and public health strategies aimed at preventing and managing obesity from an early age.

Trace Element Deficiency in Systemic Sclerosis-Too Much Effort for Some Traces?

Trace elements are essential for several physiological processes. To date, various data have suggested that inadequate levels of trace elements may be involved in the pathogenesis of different chronic diseases, including immune-mediated ones, or may develop during their course. Systemic sclerosis (SSc) is a complex autoimmune multisystemic disease, primarily characterized by microvascular dysregulation, the widespread activation of the immune system and tissue fibrosis. According to the latest reports regarding the pathogenesis of SSc, the main pathophysiological processes-inflammation, vasculopathy and fibrosis-may include various trace element derangements. The present literature review aims to update the available data regarding iron, zinc, copper and selenium status in SSc as well as to underline the possible implications of these trace elements in the complexity of the pathogenic process of the disease. We observe that the status of trace elements in SSc plays a crucial role in numerous pathogenic processes, emphasizing the necessity for proper monitoring and supplementation. The reported data are heterogenous and scarce, and future studies are needed in order to draw clearer conclusions about their complete spectrum.

MX1 and UBE2L6 are potential metaflammation gene targets in both diabetes and atherosclerosis

Background

The coexistence of diabetes mellitus (DM) and atherosclerosis (AS) is widespread, although the explicit metabolism and metabolism-associated molecular patterns (MAMPs) responsible for the correlation are still unclear.

Methods

Twenty-four genetically wild-type male Ba-Ma mini pigs were randomly divided into five groups distinguished by different combinations of 90 mg/kg streptozotocin (STZ) intravenous injection and high-cholesterol/lipid (HC) or high-lipid (HL) diet feeding for 9 months in total. Pigs in the STZ+HC and STZ+HL groups were injected with STZ first and then fed the HC or HL diet for 9 months. In contrast, pigs in the HC+STZ and HL+STZ groups were fed the HC or HL diet for 9 months and injected with STZ at 3 months. The controls were only fed a regular diet for 9 months. The blood glucose and abdominal aortic plaque observed through oil red O staining were used as evaluation indicators for successful modelling of DM and AS. A microarray gene expression analysis of all subjects was performed.

Results

Atherosclerotic lesions were observed only in the HC+STZ and STZ+HC groups. A total of 103 differentially expressed genes (DEGs) were identified as common between them. The most significantly enriched pathways of 103 common DEGs were influenza A, hepatitis C, and measles. The global and internal protein-protein interaction (PPI) networks of the 103 common DEGs consisted of 648 and 14 nodes, respectively. The top 10 hub proteins, namely, ISG15, IRG6, IRF7, IFIT3, MX1, UBE2L6, DDX58, IFIT2, USP18, and IFI44L, drive aspects of DM and AS. MX1 and UBE2L6 were the intersection of internal and global PPI networks. The expression of MX1 and UBE2L6 was 507.22 ± 342.56 and 96.99 ± 49.92 in the HC+STZ group, respectively, which was significantly higher than others and may be linked to the severity of hyperglycaemia-related atherosclerosis. Further PPI network analysis of calcium/micronutrients, including MX1 and UBE2L6, consisted of 58 and 18 nodes, respectively. The most significantly enriched KEGG pathways were glutathione metabolism, pyrimidine metabolism, purine metabolism, and metabolic pathways.

Conclusions

The global and internal PPI network of the 103 common DEGs consisted of 648 and 14 nodes, respectively. The intersection of the nodes of internal and global PPI networks was MX1 and UBE2L6, suggesting their key role in the comorbidity mechanism of DM and AS. This inference was partly verified by the overexpression of MX1 and UBE2L6 in the HC+STZ group but not others. Further calcium- and micronutrient-related enriched KEGG pathway analysis supported that MX1 and UBE2L6 may affect the inflammatory response through micronutrient metabolic pathways, conceptually named metaflammation. Collectively, MX1 and UBE2L6 may be potential common biomarkers for DM and AS that may reveal metaflammatory aspects of the pathological process, although proper validation is still needed to determine their contribution to the detailed mechanism.

The Role of Trace Elements in Cardiovascular Diseases

Essential trace elements play an important role in human physiology and are associated with various functions regulating cellular metabolism. Non-essential trace elements, on the other hand, often have well-documented toxicities that are dangerous for the initiation and development of diseases due to their widespread occurrence in the environment and their accumulation in living organisms. Non-essential trace elements are therefore regarded as serious environmental hazards that are harmful to health even in low concentrations. Many representatives of these elements are present as pollutants in our environment, and many people may be exposed to significant amounts of these substances over the course of their lives. Among the most common non-essential trace elements are heavy metals, which are also associated with acute poisoning in humans. When these elements accumulate in the body over years of chronic exposure, they often cause severe health damage in a variety of tissues and organs. In this review article, the role of selected essential and non-essential trace elements and their role in the development of exemplary pathophysiological processes in the cardiovascular system will be examined in more detail.

Molecular Linkage between Immune System Disorders and Atherosclerosis

A strong relationship exists between immune dysfunction and cardiovascular disease. Immune dysregulation can promote the development of cardiovascular diseases as well as exacerbate their course. The disorders may occur due to the presence of primary immune defects (currently known as inborn errors of immunity) and the more common secondary immune deficiencies. Secondary immune deficiencies can be caused by certain chronic conditions (such as diabetes, chronic kidney disease, obesity, autoimmune diseases, or cancer), nutritional deficiencies (including both lack of nutrients and bioactive non-nutrient compounds), and medical treatments and addictive substances. This article unravels the molecular linkage between the aforementioned immune system disorders and atherosclerosis.