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BACKGROUND: Unraveling gene–environment interaction can provide a novel insight into early disease prevention. Nevertheless, current understanding of the interplay between genetic predisposition and air pollution in relation to myocardial infarction (MI) risk remains limited. Furthermore, the potential long-term influence of air pollutants on MI incidence risk warrants more conclusive evidence in a community population. OBJECTIVE: We investigated interactions between genetic predisposition and exposure to air pollutants on MI incidence. METHODS: This study incorporated a sample of 456,354 UK Biobank participants and annual mean air pollution (PM2.5, PM10, NO2, and NOx) from the UK Department for Environment, Food and Rural Affairs (2006–2021). The Cox proportional hazards model was employed to explore MI incidence after chronic air pollutants exposure. By quantifying genetic risk through the calculation of polygenic risk score (PRS), this study further examined the interactions between genetic risk and exposure to air pollutants in the development of MI on both additive and multiplicative scales. RESULTS: Among 456,354 participants, 9,114 incident MI events were observed during a median follow-up of 12.08 y. Chronic exposure to air pollutants was linked with an increased risk of MI occurrence. Specifically, the hazard ratios (per interquartile range) were 1.12 (95% CI: 1.10, 1.13) for PM2.5, 1.20 (95% CI: 1.19, 1.22) for PM10, 1.13 (95% CI: 1.12, 1.15) for NO², and 1.12 (95% CI: 1.11, 1.13) for NOx. In terms of the joint effects, participants with high PRS and high level of air pollution exposure exhibited the greatest risk of MI among all study participants (∼255% to 324%). Remarkably, both multiplicative and additive interactions were detected in the ambient air pollutants exposure and genetic risk on the incidence of MI. DISCUSSION: There were interactions between exposure to ambient air pollutants and genetic susceptibility on the risk of MI onset. Moreover, the joint effects of these two exposures were greater than the effect of each factor alone. [ABSTRACT FROM AUTHOR]

Aim. To determine the relationships between serum concentrations of growth and differentiation factor 15 (GDF 15) and NTproBNP and features of heart remodeling in patients with heart failure and preserved ejection fraction (HFPEF) depending on the history of Q-myocardial infarction (MI). Materials and methods. The study was performed on the basis of the Cardiology Department of the Municipal non-profit Enterprise "City Hospital of Urgent and Emergency Medical Care" of Zaporizhzhia City Council. 72 patients (mean age 62.1 ± 1.7 years) with HFPEF after MI were enrolled. The patients were divided into two groups depending on the time of previous MI. The patients were examined using two-dimensional echocardiography on a MyLab50 device (Esaote, Italy) according to the recommendations of the American Society of Echocardiography. Serum concentrations of GDF 15 and NTproBNP were measured by enzyme immunoassay using Elabscience reagent kits (USA). Results. In the 1st and 2nd groups of patients who suffered MI within a year, a significant increase in GDF 15 has been found (by 66.1 % and 74.7 %, respectively; p < 0.05) compared to the control group. The level of GDF 15 was significantly higher (by 41.8 %, p < 0.05) in the group of patients who had MI over a one-to-two-year period as compared to those who had MI within one year. The serum concentration of NTproBNP was also significantly higher in HFPEF groups compared to the control group (by 84.7 % and 87.2 %, respectively, p < 0.05). In the 2nd group of patients with the history of MI between 1 and 2 years, a significant increase in end-systolic volume (by 11.8 %, p < 0.05), end-diastolic volume (by 22.3 %, p < 0.05), left ventricular myocardial mass index (by 19.1 %, p < 0.05) and the E/e' ratio (by 20.9 %, p < 0.05) has been revealed as compared to the 1st patient group. A strong direct correlation has been shown between the time of MI occurrence and the concentration of GDF 15 (r = 0.58, p < 0.05), the interventricular septum thickness at diastole (r = 0.61, p < 0.05) and the left ventricular myocardial mass index (r = 0.63, p < 0.05), GDF 15 and E/e' (r = 0.37, p < 0.05), GDF 15 and the left atrial volume index (r = 0.41, p < 0.05), GDF 15 and NTproBNP (r = 0.56, p < 0.05). Conclusions. Progression of left ventricular myocardial hypertrophy and diastolic dysfunction with dilatation of the heart chambers has been observed in HFPEF patients with a longer history of MI. The time period of MI in patients with HFPEF was associated with the serum concentration of GDF 15, the interventricular septum thickness and the mass index of the left ventricular myocardium. The serum concentration of GDF 15 was significantly correlated with the deterioration of the left ventricular diastolic function, such as an increase in the E/e' ratio and the left atrial volume index. [ABSTRACT FROM AUTHOR]

Lipoprotein(a) (Lp[a]) is associated with an increased risk of myocardial infarction (MI). However, the mechanism underlying this association has yet to be fully elucidated. This multicenter study aimed to investigate whether association between Lp(a) and MI risk is reinforced by the presence of low-attenuation plaque (LAP) identified by coronary computed tomography angiography (CCTA). In a derivation cohort, a total of 5,607 patients with stable chest pain suspected of coronary artery disease who underwent CCTA and Lp(a) measurement were prospectively enrolled. In validation cohort, 1,122 patients were retrospectively collected during the same period. High Lp(a) was defined as Lp(a) ≥50 mg/dL. The primary endpoint was a composite of time to fatal or nonfatal MI. Associations were estimated using multivariable Cox proportional hazard models. During a median follow-up of 8.2 years (Q1-Q3: 7.2-9.3 years), the elevated Lp(a) levels were associated with MI risk (adjusted HR [aHR]: 1.91; 95% CI: 1.46-2.49; P < 0.001). There was a significant interaction between Lp(a) and LAP (P interaction <0.001) in relation to MI risk. When stratified by the presence or absence of LAP, Lp(a) was associated with MI in patients with LAP (aHR: 3.03; 95% CI: 1.92-4.76; P < 0.001). Mediation analysis revealed that LAP mediated 73.3% (P < 0.001) for the relationship between Lp(a) and MI. The principal findings remained unchanged in the validation cohort. Elevated Lp(a) augmented the risk of MI during 8 years of follow-up, especially in patients with LAP identified by CCTA. The presence of LAP could reinforce the relationship between Lp(a) and future MI occurrence. [Display omitted] [ABSTRACT FROM AUTHOR]

Monsoon Inversion (MI) plays a key role and is one of the semi-permanent features of Asian Summer Monsoon. MI is defined as a sustained temperature inversion (TI) that is observed in the lower troposphere, during summer monsoon (June to September) over the Western AS (WAS) with its peak between July and August. A comprehensive analysis of formation, evolution, and dissipation of MI is made using long-term observations from satellites and ERA-5 reanalysis of 15 years (2008–2022). The climatological day-to-day and monthly variations of MI over the Arabian Sea are studied. The occurrence of inversion (TI) during pre-monsoon, i.e., during April and May, is at a lower altitude and is strengthened by subsidence. The MI is found to occur strongly over the WAS, while it is seen occasionally with lesser strength over the Eastern Arabian Sea (EAS) during July–August. The advection is nearly five times stronger than subsidence. The reasons for the existence and strength of MI are investigated using the data of dust from the CALIPSO. There is a ~ 15% difference in the occurrence of dust over WAS compared to EAS. Also, MI occurrence has shown significant differences in temperature profiles during dust and non-dust cases. The analysis of MI reveals that strong MI is due to more advection of warm dry and dust laden air from desert regions (west, north and northwest directions). The present study has significance to the understanding of interannual monsoon variability. [ABSTRACT FROM AUTHOR]

Introduction Myocardial infarction (MI), a potentially fatal cardiovascular condition, develops when the blood flow through the coronary arteries is diminished due to various factors, leading to inadequate oxygen supply to [...], BACKGROUND: Unraveling gene--environment interaction can provide a novel insight into early disease prevention. Nevertheless, current understanding of the interplay between genetic predisposition and air pollution in relation to myocardial infarction (MI) risk remains limited. Furthermore, the potential long-term influence of air pollutants on MI incidence risk warrants more conclusive evidence in a community population. OBJECTIVE: We investigated interactions between genetic predisposition and exposure to air pollutants on MI incidence. METHODS: This study incorporated a sample of 456,354 UK Biobank participants and annual mean air pollution ([PM.sub.2.5], [PM.sub.10], [NO.sub.2], and [NO.sub.x]) from the UK Department for Environment, Food and Rural Affairs (2006-2021). The Cox proportional hazards model was employed to explore MI incidence after chronic air pollutants exposure. By quantifying genetic risk through the calculation of polygenic risk score (PRS), this study further examined the interactions between genetic risk and exposure to air pollutants in the development of MI on both additive and multiplicative scales. RESULTS: Among 456,354 participants, 9,114 incident MI events were observed during a median follow-up of 12.08 y. Chronic exposure to air pollutants was linked with an increased risk of MI occurrence. Specifically, the hazard ratios (per interquartile range) were 1.12 (95% CI: 1.10, 1.13) for [PM.sub.2.5], 1.20 (95% CI: 1.19, 1.22) for [PM.sub.10], 1.13 (95% CI: 1.12, 1.15) for [NO.sub.2], and 1.12 (95% CI: 1.11, 1.13) for [NO.sub.x]. In terms of the joint effects, participants with high PRS and high level of air pollution exposure exhibited the greatest risk of MI among all study participants ( ~ 255% to 324%). Remarkably, both multiplicative and additive interactions were detected in the ambient air pollutants exposure and genetic risk on the incidence of MI. DISCUSSION: There were interactions between exposure to ambient air pollutants and genetic susceptibility on the risk of MI onset. Moreover, the joint effects of these two exposures were greater than the effect of each factor alone. https://doi.org/10.1289/EHP14291

The rapid rise of cyanotoxins production poses a serious threat to global freshwater ecosystems and has become an important issue of global public health. In Africa, a continent facing serious environmental problems, including poisoning by cyanotoxins, knowledge of the presence and distribution of these toxins remains limited. The primary objective of our review is to assess the occurrence and distribution of cyanotoxins, particularly microcystins (MCs), in African freshwater ecosystems. We aim to analyze the limited but existing literature on this subject, focusing specifically on studies published between 2001 and 2023. Recognizing the scarcity of research on this topic in Africa, we strive to elucidate the emerging patterns of toxin variants and their correlation with environmental variables, such as water temperature and nutrient concentrations. Our investigation reveals MCs as the predominant cyanobacterial secondary metabolites detected across the majority of African freshwater environments where cyanotoxins have been documented. Furthermore, their concentrations have exceeded the World Health Organization's (WHO) provisional guideline for lifetime human exposure through drinking water, which is set at 1 µg L−1, as indicated by data in Table 1. Highly significant positive relationships were found between toxin-producing cyanobacteria and environmental factors, in particular water temperature and nutrient concentrations. Given the associated exposure risks in Africa, we recommend frequent monitoring of water quality, the development of guidelines based on international best practice, toxicity tests, and epidemiological investigations to understand the health risks and impacts of cyanotoxin exposure. These measures are essential to both protect the well-being of humans and to ensure the sustainability of African aquatic ecosystems. [ABSTRACT FROM AUTHOR]

Aim: Although a growing number of studies have shown that elevated uric acid (UA) levels are associated with multiple cardiovascular risk factors and progression of coronary artery disease, the causal relationship between UA and the occurrence of myocardial infarction (MI) remains uncertain. The aim of this study was to investigate the relationship between UA and the risk of MI. Methods: We screened 23,080 patients in the National Health and Nutrition Examination Survey (NHANES) database for 2009-2018 and explored the association between UA and MI risk using multivariate logistic regression model. In addition, a two-way two-sample Mendelian randomization (TSMR) analysis was performed to examine the causal relationship of UA on MI, and inverse variance-weighted (IVW) results were used as the primary outcome in this study. Sensitivity analysis and horizontal multiple validity test were also performed to verify the reliability of the results. Results: After multivariable adjustment, individuals with the severe elevation of UA levels have a significantly increased risk of MI (OR=2.843, 95%CI: 1.296-6.237, P=0.010). In TSMR analysis, the IVW method demonstrated a significant association between UA and increased risk of MI (OR=1.333, 95%CI: 1.079- 1.647, P=0.008). Results from the MR-Egger intercept test, Cochran’s Q test, and MR-PRESSO test all suggest the reliability of the IVW analysis. Reverse TSMR analysis did not indicate a causal relationship between genetic susceptibility to MI and UA levels (IVW: OR=1.001, 95%CI: 0.989-1.012, P=0.922). Conclusion: Based on cross-sectional study and Mendelian randomization analysis, it has been demonstrated that UA is an independent risk factor for MI. Elevated levels of UA increase the risk of MI, particularly in cases of severe elevation. [ABSTRACT FROM AUTHOR]

Objective: A growing body of research suggests a link between varicocele and male infertility (MI). However, current evidence is mainly based on retrospective studies, which are prone to interference from confounding factors and cannot establish causal relationships. Mendelian randomization (MR) studies on the causal relationship between varicocele and MI are very limited. Therefore, this study conducted a two-sample MR study to elucidate the causal effect between the two. Methods: Download the data set GSE216907 from the GEO database, and use R software to screen differential genes in normal and varicocele tissue samples. The drug targets of Bu Shen Huo Xue Prescription (BSHXP) were derived from the Herb database. All genetic datasets were obtained using publicly available summary statistics based on individuals of European ancestry from the IEU GWAS database. MR analysis was performed using MR Egger, weighted median (WM) and inverse variance weighted (IVW) methods to assess the causal relationship between exposure and outcome and to validate the findings by comprehensively evaluating the effects of pleiotropic effects and outliers. The renal vein constriction method was used to establish a pathological model of varicocele infertility. The drug was administered continuously for 60 days and the relevant indicators of the rats were observed. Results: Obtain two therapeutic targets for varicocele through intersection analysis: MEGF9 and MLLT11, and were verified by molecular docking. MR analysis showed that MEGF9 was positively associated with MI (MR Egger, OR: 1.639, 95% CI: 1.124-2.391, P = 0.024; WM, OR: 1.235, 95% CI: 1.003-1.521, P = 0.047). MEGF9 is also positively associated with MI (IVW, OR: 1.35, 95% CI: 1.069- 1.705, P = 0.012). Sensitivity analysis showed no heterogeneity and horizontal pleiotropy. The expression of MEGF9 and MLLT11 increased in the varicocele model group, while the expression decreased after treatment with low, medium, and high doses of BSHXP. In addition, the sperm number, motility, morphology, and fertility of rats in the model group were significantly lower than those in the control group (P<0.05). After BSHXP treatment, all indicators were significantly better than those of the model group (P<0.05). Conclusion: In conclusion, this study indirectly supports that varicocele causes MI. BSHXP inhibiting MEGF9 and MLLT11 may become a potential therapeutic target for alleviating varicocele and MI. [ABSTRACT FROM AUTHOR]

Background: Cohort studies have increasingly shown associations between inflammatory markers and myocardial infarction (MI); however, the specific causal relationships between inflammatory markers and the development of MI remain unclear. Methods and results: By utilizing publicly accessible genome-wide association studies, we performed a two-sample Mendelian randomization (MR) analysis to explore the causal associations between inflammatory markers and myocardial infarction (MI). A random-effects inverse-variance weighted method was used to calculate effect estimates. The study included a total of 395,795 European participants for MI analysis and various sample sizes for inflammatory factors, ranging from 3,301 to 563,946 participants.Neutrophil count was found to increase the risk of MI (odds ratio [OR] = 1.08; 95% confidence interval [CI], 1.00–1.17; p = 0.04). C-reactive protein levels correlated positively with MI. No associations were observed with IL-1 beta, IL-6, IL-18, procalcitonin, TNF-α, total white cell count, or neutrophil percentage of white cells. Neutrophil count and C-reactive protein were inversely associated with lactate dehydrogenase: neutrophil cell count (OR 0.95; 95% CI, 0.93–0.98; p < 0.01) and C-reactive protein (OR 0.96; 95% CI, 0.92–1.00; p = 0.02). No associations of MI with myoglobin, troponin I, and creatine kinase-MB levels were found. Conclusions: This two-sample MR analysis revealed a causal positive association of MI with neutrophil count, C-reactive protein level, and the myocardial injury marker lactate dehydrogenase. These results indicate that monitoring C-reactive protein and neutrophil counts may be useful in management of MI patients. [ABSTRACT FROM AUTHOR]

Background: Pathological cardiac hypertrophy is linked to immune-inflammatory injury, and regulatory T cells (Tregs) play a crucial role in suppressing immune-inflammatory responses. However, the precise role of Tregs in pathological cardiac hypertrophy remains unclear. Objective: To summarize the current knowledge on the role and mechanisms of Tregs in pathological cardiac hypertrophy and explore their perspectives and challenges as a new therapeutic approach. Results: Treg cells may play an important protective role in pressure overload (hypertension, aortic stenosis), myocardial infarction, metabolic disorders (diabetes, obesity), acute myocarditis, cardiomyopathy (hypertrophic cardiomyopathy, storage diseases), and chronic obstructive pulmonary disease–related pathological cardiac hypertrophy. Although some challenges remain, the safety and efficacy of Treg-based therapies have been confirmed in some clinical trials, and engineered antigen-specific Treg cells may have better clinical application prospects due to stronger immunosuppressive function and stability. Conclusion: Targeting the immune-inflammatory response via Treg-based therapies might provide a promising and novel future approach to the prevention and treatment of pathological cardiac hypertrophy. [ABSTRACT FROM AUTHOR]

Background: Myocardial infarction (MI) induces complex transcriptional changes across diverse cardiac cell types. Single-cell RNA sequencing (scRNA-seq) provides an unparalleled ability to discern cellular diversity during infarction, yet the veracity of these discoveries necessitates confirmation. This investigation sought to elucidate MI mechanisms by integrating scRNA-seq and bulk RNA-seq data. Methods: Publicly available scRNA-seq (GSE136088) and bulk RNA-seq (GSE153485) data from mice MI models were analyzed. Cell types were annotated, and differential expression analysis conducted. Bulk RNA-seq underwent quality control, principal component analysis, and differential expression analysis. Results: In scRNA-seq data, the comparison between MI and sham groups unveiled a reduction in endothelial cell populations, but macrophages and monocytes increased. Within fibroblast subgroups, three distinct categories were discerned, with two exhibiting upregulation in MI. Notably, endothelial cells exhibited an elevated expression of genes associated with apoptosis and ferroptosis. In bulk RNA-seq analysis, distinct patterns emerged when comparing MI and sham groups. Specifically, six genes linked to endothelial ferroptosis exhibited heightened expression in MI group, thereby corroborating the scRNA-seq findings. Moreover, the examination of isolated cardiac macrophages from mice MI model revealed increased expression of Spp1, Col1a2, Col3a1, Ctsd, and Lgals3 compared to sham group, thus substantiating the dysregulation of macrophage apoptosis-related proteins following MI. Conclusion: MI altered the transcriptomic landscapes of cardiac cells with increased expression of apoptotic genes. Moreover, the upregulation of macrophage apoptosis marker was confirmed within MI models. The presence of endothelial cell depletion and ferroptosis in MI has been demonstrated. [ABSTRACT FROM AUTHOR]

Aim. To determine the relationships between serum concentrations of growth and differentiation factor 15 (GDF 15) and NTproBNP and features of heart remodeling in patients with heart failure and preserved ejection fraction (HFPEF) depending on the history of Q-myocardial infarction (MI). Materials and methods. The study was performed on the basis of the Cardiology Department of the Municipal non-profit Enterprise “City Hospital of Urgent and Emergency Medical Care” of Zaporizhzhia City Council. 72 patients (mean age 62.1 ± 1.7 years) with HFPEF after MI were enrolled. The patients were divided into two groups depending on the time of previous MI. The patients were examined using two-dimensional echocardiography on a MyLab50 device (Esaote, Italy) according to the recommendations of the American Society of Echocardiography. Serum concentrations of GDF 15 and NTproBNP were measured by enzyme immunoassay using Elabscience reagent kits (USA). Results. In the 1st and 2nd groups of patients who suffered MI within a year, a significant increase in GDF 15 has been found (by 66.1 % and 74.7 %, respectively; p < 0.05) compared to the control group. The level of GDF 15 was significantly higher (by 41.8 %, p < 0.05) in the group of patients who had MI over a one-to-two-year period as compared to those who had MI within one year. The serum concentration of NTproBNP was also significantly higher in HFPEF groups compared to the control group (by 84.7 % and 87.2 %, respectively, p < 0.05). In the 2nd group of patients with the history of MI between 1 and 2 years, a significant increase in end-systolic volume (by 11.8 %, p < 0.05), end-diastolic volume (by 22.3 %, p < 0.05), left ventricular myocardial mass index (by 19.1 %, p < 0.05) and the E/e’ ratio (by 20.9 %, p < 0.05) has been revealed as compared to the 1st patient group. A strong direct correlation has been shown between the time of MI occurrence and the concentration of GDF 15 (r = 0.58, p < 0.05), the interventricular septum thickness at diastole (r = 0.61, p < 0.05) and the left ventricular myocardial mass index (r = 0.63, p < 0.05), GDF 15 and E/e’ (r = 0.37, p < 0.05), GDF 15 and the left atrial volume index (r = 0.41, p < 0.05), GDF 15 and NTproBNP (r = 0.56, p < 0.05). Conclusions. Progression of left ventricular myocardial hypertrophy and diastolic dysfunction with dilatation of the heart chambers has been observed in HFPEF patients with a longer history of MI. The time period of MI in patients with HFPEF was associated with the serum concentration of GDF 15, the interventricular septum thickness and the mass index of the left ventricular myocardium. The serum concentration of GDF 15 was significantly correlated with the deterioration of the left ventricular diastolic function, such as an increase in the E/e’ ratio and the left atrial volume index.

Aim: Myocardial infarction (MI) is a cardiovascular disease caused by necrosis of the myocardium, which places a heavy burden on patients. In France, the proportion of daily smokers remains high, reaching at 25.5% in 2020. We evaluated the impact of smoking reduction scenarios on the projection of MI prevalence, mean age of incident cases and number of MI prevented cases until 2035. Methods and Results: The French government has introduced smoking cessation policies that have led to an annual decrease in smoking prevalence. Based on this annual decline, we implemented three scenarios (SC) simulating an annual decrease in the proportion of smokers aged over 35 (SC1: 1%, ie, natural evolution without intervention, SC2: 2%, SC3: 9.87%) and a fourth scenario (SC4) in which there is a complete discontinuation of smoking from 2024 onwards using MI hospitalization and demographic data, estimations for the proportion of daily smokers between 35 and 95 years and multi-state models. Between 2023 and 2035, MI prevalence increased from 3.18% to 4.23% in males and from 1.00% to 1.46% in females under SC1. MI prevalence was equal to 4.21%, 4.06%, and 3.82% in males and 1.45%, 1.40%, and 1.34% in females in 2035 according to SC2, SC3, and SC4, respectively. Compared with SC1, 0.68% MI cases would be prevented with SC2, 4.52% with SC3 and 10.34% with SC4, with almost half of cases being prevented before 65 years of age. The increase in the mean age of MI incident cases ranged from 3 to 4 years among males and from 1 to 2 years among females. Conclusion: While reducing tobacco use could substantially reduce the number of MI cases prevented, its prevalence would continue to increase due to the ageing population. An integrated prevention strategy that includes the leading cardiovascular risk factors should more efficiently reduce the future burden of MI. [ABSTRACT FROM AUTHOR]

Myocardial infarction (MI), a severe outcome of cardiovascular disease, poses a serious threat to human health. Uncontrolled inflammation and excessive cardiomyocyte death, following an infarction event, significantly contribute to both the mortality rate and complications associated with MI. The protein IL-4-induced gene 1 (IL4I1 or FIG1) serves as a natural inhibitor of innate and adaptive immunity, playing a crucial role in CD4+ T cell differentiation, macrophage polarization, and ferroptosis inhibition. Previous studies have linked IL4I1 to acute MI. This review summarizes evidence from both basic and clinical research, highlighting IL4I1 as a critical immunoregulatory enzyme that not only regulates inflammatory responses, but also potentially mitigates MI-induced damage. [ABSTRACT FROM AUTHOR]

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Diabetes and its complications significantly affect individuals' quality of life. The etiology of diabetes mellitus and its associated complications is complex and not yet fully understood. There is an increasing emphasis on investigating the effects of endocrine disruptors on diabetes, as these substances can impact cellular processes, energy production, and utilization, ultimately leading to disturbances in energy homeostasis. Mitochondria play a crucial role in cellular energy generation, and any impairment in these organelles can increase susceptibility to diabetes. This review examines the most recent epidemiological and pathogenic evidence concerning the link between endocrine disruptors and diabetes, including its complications. The analysis suggests that endocrine disruptor-induced mitochondrial dysfunction--characterized by disruptions in the mitochondrial electron transport chain, dysregulation of calcium ions (Ca2+), overproduction of reactive oxygen species (ROS), and initiation of signaling pathways related to mitochondrial apoptosis--may be key mechanisms connecting endocrine disruptors to the development of diabetes and its complications. [ABSTRACT FROM AUTHOR]

Background: Adverse atherogenic lipid profile is associated with an increased risk of major adverse cardiac events in patients after acute coronary syndrome (ACS). Knowledge regarding the impact of statins on lipid profile remains limited. Methods: We retrospectively analysed multicenter, real-world data from the Chinese Cardiovascular Association Database-iHeart Project. Patients with a primary diagnosis of ACS from 2014 to 2021 during index hospitalisation and having at least one lipid panel record after discharge within 12 months were enrolled. We analysed target achievement of atherogenic lipid profile, including apolipoprotein B (< 80 mg/dL), low-density lipoprotein cholesterol (LDL-C) (< 1.8 mmol/L), lipoprotein(a) [Lp(a)] (< 30 mg/dL), triglycerides (< 1.7 mmol/L), remnant cholesterol (RC) (< 0.78 mmol/L), non-high-density lipoprotein cholesterol (< 2.6 mmol/L) at baseline and follow-up. Multivariate Cox regression models were employed to investigate the association between patient characteristics and target achievement. Results: Among 4861 patients, the mean age was 64.9 years. Only 7.8% of patients had all atherogenic lipids within the target range at follow-up. The proportion of target achievement was for LDL-C 42.7%, Lp(a) 73.3%, and RC 78.5%. Patients with female sex, younger age, myocardial infarction, hypertension, and hypercholesteremia were less likely to control LDL-C, Lp(a), and RC. An increase in the burden of comorbidities was negatively associated with LDL-C and Lp(a) achievements but not with RC. Conclusions: A substantial gap exists between lipid control and the targets recommended by contemporary guidelines. Novel therapeutics targeting the whole atherogenic lipid profile will be warranted to improve cardiovascular outcomes. What is known? 1. Long-term prognosis of ACS remains challenging, underlining the need for optimisation of secondary prevention in these patients. 2. In addition to LDL-C, the residual lipid risk attributed to other atherogenic lipids is associated with increased risk after ACS. What the study adds? 1. Only 7.8% of patients had all atherogenic lipids, including LDL-C, TG, ApoB, Lp(a), RC, and non-HDL-C, within the target range. 2. At follow-up, the proportions of the overall population and the very high-risk patients with LDL-C in the target range were 42.7% and 17.5%, respectively. 3. Patients with female sex, younger age, and comorbidities such as myocardial infarction, hypertension, and hypercholesterolemia were less likely to control their lipids. [ABSTRACT FROM AUTHOR]

As the demand for power supply stability and reliability in the active distribution network (ADN) increases, the primary and secondary integrated intelligent switch (PSIIS) has become the primary choice for smart grid transformation in many weak infrastructure areas. However, the number of PSIISs that can be configured is often limited. It is necessary to comprehensively utilize the measurement data and sectional capabilities of PSIISs through the optimal configuration method to find the optimal configuration scheme. Therefore, fault observability-related indexes (FORIs) are proposed based on the functional characteristics of PSIISs. These indexes include fault type observability, fault location observability, fault current distribution characteristics observability, transition resistance observability, and weak infrastructure area observability. An optimization configuration model of PSIISs considering the comprehensive fault observability (CFO) is constructed. The adaptive genetic algorithm (AGA) is selected as the model-solving method. Subsequently, an optimal configuration method of PSIISs considering CFO is proposed. Finally, an example analysis is conducted in MATLAB to verify the effectiveness and feasibility of the proposed method. This optimal configuration method aims to maximize the use of a limited number of PSIISs by considering CFO, and the AGA proves to be an effective tool in solving the optimal configuration scheme. [ABSTRACT FROM AUTHOR]

Parasomnias are a group of sleep disorders characterized by abnormal and unpleasant motor, verbal, or behavioral events that occur during sleep or during transitions between wake and sleep states. They disrupt sleep and can have a detrimental impact on the individual experiencing them. Our goal was to identify types of parasomnias and their prevalence in the current and recent post-secondary student population and to explore their coping strategies for parasomnias they found distressing. Seventy-seven post-secondary students completed the 21-item Munich Parasomnia Screening (MUPS) frequency scale. They also rated, on a 10-point scale, how disturbing each parasomnia experienced was. Not only did 92% percent of students report at least one parasomnia, but our results also indicate that the vast majority of students experienced several parasomnias. This led us to investigate the likelihood of the co-occurrence of different parasomnias. With respect to the level of subjectively experienced distress, the most prevalent parasomnias were not always the more disturbing. Coded open-ended responses about what students do about the disturbing parasomnias indicate that grounding strategies (i.e., coping strategies that help manage distressing feelings) and physical manipulation of one's body were the most common, although most participants indicated that in spite of distress, they do nothing to cope. In conclusion, our study found a strikingly high prevalence of parasomnias in this sample of young adults and a lack of knowledge about effective means of dealing with these. Therefore, we provide some accepted ways of dealing with these. [ABSTRACT FROM AUTHOR]

Freak waves are characterized by extreme wave height, irregular wave shape, high peak energy, short duration, and formidable destructive potential, posing a significant threat to offshore structures. Therefore, analyzing dynamic responses exhibited by advanced offshore platforms such as the offshore triceratops under the influence of freak waves holds paramount importance. However, the response analysis of offshore triceratops under freak waves has not been explored so far in the literature. Hence, the present study aims to investigate the dynamics of offshore triceratops intended for ultradeep waters under the impact of freak waves. Initially, the dual superposition model was utilized to generate the freak waves, and the numerical model of the platform was developed using ANSYS AQWA. Subsequently, the dynamic response characteristics of offshore triceratops under the influence of freak waves were analyzed in the time domain. The results demonstrate the effects of freak waves on the surge, heave, and pitch responses of the deck and buoyant legs were substantial, leading to a significant increase in maximum responses and variations in mean shift and standard deviations. The innovative insights derived from this study can serve as a benchmark for validating the effective performance and design of offshore triceratops. [ABSTRACT FROM AUTHOR]

Pre-disaster protection strategies are essential for enhancing the resilience of electric power systems against natural disasters. Considering the budgets for protection strategies, the dependency of other infrastructure systems on electricity, and the uncertainty of disaster scenarios, this paper develops risk-neutral and risk management models of strategies for pre-disaster protection. The risk-neutral model is a stochastic model designed to maximize the expected value of resilience (EVR) of the integrated system. The risk management model is a multi-objective model prioritizing the minimization of risk metrics as a secondary goal alongside maximizing the EVR. A case study conducted on the energy infrastructure systems in the Greater Toronto Area (GTA) validates the effectiveness of the models. The findings reveal the following: (i) increasing the budget enhances the EVR of the integrated system; however, beyond a certain budget threshold, the incremental benefits to the EVR significantly diminish; (ii) reducing the value of the downside risk often results in an increase in the EVR, with the variation in Pareto-optimal solutions between the two objectives being non-linear; and (iii) whether for the risk-neutral or risk management protection strategies, there are reasonable budgets when considering disaster intensity and the cost of protection measures. The models can help decision-makers to select effective protection measures for natural disasters. [ABSTRACT FROM AUTHOR]

Today, volcanic sulfur emissions into the atmosphere are measured spectroscopically from the ground, air and space. For eruptions prior to the satellite era, two main sulfur proxies are used, the rock and ice core records, as illustrated by Peccia et al. (2023, https://doi.org/10.1029/2023gl103334). The first approach is based on calculations of the sulfur content of the magma, while the second uses traces of sulfur deposited in ice. Both approaches have their limitations. For glaciochemistry, the volcano responsible for a sulfur anomaly is often unknown and the atmospheric pathway by which the sulfur reached the ice uncertain. The petrologic method relies, too, on uncertain estimates of eruption size and a number of geochemical assumptions that are hard to verify. A deeper knowledge of processes occurring both within magma bodies prior to eruption, and within volcanic plumes in the atmosphere is needed to further our understanding of the impacts of volcanism on climate. Plain Language Summary: Volcanic emissions of sulfur gases during large eruptions can change the global climate. Today, advanced spectroscopic tools allow us to measure sulfur from the ground, air and space. But to understand the impacts of volcanic activity on climate back through history we need to estimate volcanic sulfur releases in other ways. Clues can be found in the pumice deposits found around a volcano and, perhaps more surprisingly, in the ice caps of the polar regions, which receive the eventual fallout from large eruptions. Both approaches have limitations that are addressed in a recent work by Peccia et al. (2023, https://doi.org/10.1029/2023gl103334) and that are at the focus of our commentary. Key Points: The impact of volcanic activity on climate remains difficult to quantify for eruptions prior to the instrumental eraThe petrological and glaciochemical methods each provide answers, but are still fraught with large uncertaintiesWe need to further our understanding of the physicochemical processes occurring both within magma reservoirs and volcanic plumes [ABSTRACT FROM AUTHOR]

The correct management of operations in thermoelectric plants is based on the continuous evaluation of the structural integrity of its components, among which there are elements made of stainless steel that perform water conduction functions at elevated temperatures. The working conditions generate progressive wear that must be monitored from the perspective of the microstructure of the material. When AISI 304 stainless steel is subjected to a temperature range between 450 and 850 °C, it is susceptible to intergranular corrosion. This phenomenon, known as sensitization, causes the material to lose strength and generates different patterns in its microstructure. This research analyzes three different patterns present in the microstructure of stainless steel, which manifest themselves through the following characteristics: the absence of intergranular corrosion, the presence of intergranular corrosion, and the precipitation of chromium carbides. This article shows the development of a methodology capable of recognizing the corrosion patterns generated in stainless steel with an accuracy of 98%, through the integration of a multilayer perceptron neural network and the following digital image processing methods: phase congruence and a gray-level co-occurrence matrix. In this way, an automatic procedure for the analysis of the intergranular corrosion present in AISI 304 stainless steel using artificial intelligence is proposed. [ABSTRACT FROM AUTHOR]

Myocardial infarction (MI) often leads to heart failure (HF) through acute or chronic maladaptive remodeling processes. This establishes coronary artery disease (CAD) and HF as significant contributors to cardiovascular illness and death. Therefore, treatment strategies for patients with CAD primarily focus on preventing MI and lessening the impact of HF after an MI event. Myocardial fibrosis, characterized by abnormal extracellular matrix (ECM) deposition, is central to cardiac remodeling. Understanding these processes is key to identifying new treatment targets. Recent studies highlight SGLT2 inhibitors (SGLT2i) and GLP-1 receptor agonists (GLP1-RAs) as favorable options in managing type 2 diabetes due to their low hypoglycemic risk and cardiovascular benefits. This review explores inflammation's role in cardiac fibrosis and evaluates emerging anti-diabetic medications' effectiveness, such as SGLT2i, GLP1-RAs, and dipeptidyl peptidase-4 inhibitors (DPP4i), in preventing fibrosis in patients with diabetes post-acute MI. Recent studies were analyzed to identify effective medications in reducing fibrosis risk in these patients. By addressing these areas, we can advance our understanding of the potential benefits of anti-diabetic medications in reducing cardiac fibrosis post-MI and improve patient outcomes in individuals with diabetes at risk of HF. [ABSTRACT FROM AUTHOR]

Glucagon-like peptide-1 (GLP-1) is a multifunctional incretin hormone with various physiological effects beyond its well-characterized effect of stimulating glucose-dependent insulin secretion in the pancreas. An emerging role for GLP-1 and its receptor, GLP-1R, in brain neuroprotection and in the suppression of inflammation, has been documented in recent years. GLP-1R is a G protein-coupled receptor (GPCR) that couples to Gs proteins that stimulate the production of the second messenger cyclic 3',5'-adenosine monophosphate (cAMP). cAMP, acting through its two main effectors, protein kinase A (PKA) and exchange protein directly activated by cAMP (Epac), exerts several anti-inflammatory (and some pro-inflammatory) effects in cells, depending on the cell type. The present review discusses the cAMP-dependent molecular signaling pathways elicited by the GLP-1R in cardiomyocytes, cardiac fibroblasts, central neurons, and even in adrenal chromaffin cells, with a particular focus on those that lead to anti-inflammatory effects by the GLP-1R. Fully elucidating the role cAMP plays in GLP-1R's anti-inflammatory properties can lead to new and more precise targets for drug development and/or provide the foundation for novel therapeutic combinations of the GLP-1R agonist medications currently on the market with other classes of drugs for additive anti-inflammatory effect. [ABSTRACT FROM AUTHOR]

Machine safety is not only a prerequisite for successful production but also the foundation for the sustainability and growth of any manufacturing organization. The latest approaches in this rapidly developing field integrate effective risk management tools and strategies into occupational health and safety (OHS) management systems. The study, through a real example from practice, describes the use of the analytic hierarchy process (AHP) method for machine safety improvement, considering the possible types of losses. Classification and Regression Tree Analysis (CART) was applied to assess the efficiency, cost-effectiveness, and, therefore, the overall sustainability level of the relevant safety measures. These were proposed risk reduction measures that typically raised uncertainty among managers regarding the estimation of cost-effectiveness. The advantage of the application decision tree approach is the possibility to identify and establish relatively homogeneous groups of undesirable events and their impact on the organization's objectives. A comprehensive model has been developed to support management decision making in manufacturing organizations towards implementing and improving safety measures in line with manufacturing sustainability goals. [ABSTRACT FROM AUTHOR]

The theoretical impact of the electric vehicle (EV) market share growth has been widely discussed with regards to technical and socioeconomic aspects in recent years. However, the prospection of EV scenarios is a challenge, and the difficulty increases with the granularity of the study and the set of variables affected by user behavior and regional aspects. Moreover, the lack of a robust database to estimate fast-charging stations' load curves, for example, affects the quality of planning, allocation, or grid impact studies. When this problem is evaluated on highways, the challenge increases due to the reduced number of trips related to the reduced number of charger units installed and the limited EVs range, which influence user anxiety. This paper presents a methodology to estimate the highway fast-charging station operation condition, considering regional and EV user aspects. The process is based in a block of traffic simulation, considering the traffic information and highway patterns composing the matrix solution model. Also, the output block estimates charging stations' operational conditions, considering infrastructure scenarios and simulated traffic. A Monte Carlo simulation is presented to model entrance rates and charging times, considering the PDF of stochastic inputs. The results are shown for the aspects of load curve and queue length for one case study, and a sensibility study was conducted to evaluate the impact of model inputs. [ABSTRACT FROM AUTHOR]

Background: Myocardial infarction (MI) caused by severe coronary artery disease has high incidence and mortality rates, making its prevention and treatment a central and challenging aspect of clinical work for cardiovascular practitioners. Recently, researchers have turned their attention to a novel mechanism of cell death caused by Cu2+, cuproptosis. Methods: This study integrated data from three MI-related bulk datasets downloaded from the Gene Expression Omnibus (GEO) database, and identified 16 differentially expressed genes (DEGs) related to cuproptosis by taking intersection of the 6378 DEGs obtained by differential analysis with 49 cuproptosis-related genes. Four hub genes, Dbt, Dlat, Ube2d1 and Ube2d3, were screened out through random forest analysis and Lasso analysis. In the disease group, Dbt, Dlat, and Ube2d1 showed low expression, while Ube2d3 exhibited high expression. Results: Focusing on Ube2d3 for subsequent functional studies, we confirmed its high expression in the MI group through qRT-PCR and Western Blot detection after successful construction of a MI mouse model by left anterior descending (LAD) coronary artery ligation, and further clarified the correlation of cuproptosis with MI development by detecting the levels of cuproptosis-related proteins. Moreover, through in vitro experiments, Ube2d3 was confirmed to be highly expressed in oxygen-glucose deprivation (OGD)-treated cardiomyocytes AC16. In order to further clarify the role of Ube2d3, we knocked down Ube2d3 expression inOGD-treated AC16 cells, and confirmed Ube2d3's promoting role in the hypoxia damage of AC16 cells by inducing cuproptosis, as evidenced by the detection of MTT, TUNEL, LDH release and cuproptosis-related proteins. Conclusion: In summary, our findings indicate that Ube2d3 regulates cuproptosis to affect the progression of MI. [ABSTRACT FROM AUTHOR]

Purpose: The development of roxadustat is a standard treatment for renal anemia, and multiple clinical trials have proved its safety and efficacy. However, less information is available from trials of the population with diabetic nephropathy (DN). This study aimed to determine whether roxadustat is effective for treating DN. Methods: This was a single-center, retrospective, institutional review board-approved cohort study. The patients with DN were chosen and given roxadustat or erythropoietin (EPO) for 8 weeks. The mean hemoglobin (Hb) level after 8 weeks of treatment served as the primary outcome. Alterations in the iron index and lipid levels were considered secondary objectives. Sub-group analysis was performed to observe the impact of inflammation and glycemic status on Hb. Results: A total of 80 patients were enrolled, 40 in each group. After 8 weeks of treatment, the Hb levels in the roxadustat group were higher than those in the control group. The number of patients who achieved Hb response was higher in the roxadustat group than in the control group (77.5% versus 27.5%; P < 0.001). In addition to lowering total cholesterol and low-density lipoprotein cholesterol, roxadustat decreased ferritin and elevated total iron-binding capacity. Compared to the control group, roxadustat was more beneficial for patients with an inflammatory condition and poor glycemic control. Conclusions: Roxadustat treatment remarkably corrected anemia in patients with DN, and its effectiveness was unaffected by inflammation or glycemic control levels. In addition, roxadustat can also reduce a patient's blood lipid level and enhance the body's use of iron. Clinical trial registration: ChiCTR2200057232. [ABSTRACT FROM AUTHOR]

The amazing development of transistor technology has been the main driving force behind modern electronics. Over time, this process has slowed down introducing performance bottlenecks in data-intensive applications. A main cause is the classical von Neumann architecture, which entails constant data exchanges between processing units and data memory, wasting time and power. As a possible alternative, the Beyond von Neumann approach is now rapidly spreading. Although architectures following this paradigm vary a lot in layout and functioning, they all share the same principle: bringing computing elements as near as possible to memory while inserting customized processing elements, able to elaborate more data. Thus, power and time are saved through parallel execution and usage of processing components with local memory elements, optimized for running data-intensive algorithms. Here, a new memory-mapped co-processor (MeMPA) is presented to boost systems performance. MeMPA relies on a programmable matrix of fully interconnected processing blocks, each provided with memory elements, following the Multiple-Single Instruction Multiple Data model. Specifically, MeMPA can perform up to three different instructions, each on different data blocks, concurrently. Hence, MeMPA efficiently processes data-crunching algorithms, achieving energy and time savings up to 81.2% and 68.9%, respectively, compared with a RISC-V-based system. [ABSTRACT FROM AUTHOR]

Understanding and analyzing the search intent of a user semantically based on their input query has emerged as an intriguing challenge in recent years. It suffers from small-scale human-labeled training data that produce a very poor hypothesis of rare words. The majority of data portals employ keyword-driven search functionality to explore content within their repositories. However, the keyword-based search cannot identify the users' search intent accurately. Integrating a query-understandable framework into keyword search engines has the potential to enhance their performance, bridging the gap in interpreting the user's search intent more effectively. In this study, we have proposed a novel approach that focuses on spatial and temporal information, phrase detection, and semantic similarity recognition to detect the user's intent from the search query. We have used the n-gram probabilistic language model for phrase detection. Furthermore, we propose a probability-aware gated mechanism for RoBERTa (Robustly Optimized Bidirectional Encoder Representations from Transformers Approach) embeddings to semantically detect the user's intent. We analyze and compare the performance of the proposed scheme with the existing state-of-the-art schemes. Furthermore, a detailed case study has been conducted to validate the model's proficiency in semantic analysis, emphasizing its adaptability and potential for real-world applications where nuanced intent understanding is crucial. The experimental result demonstrates that our proposed system can significantly improve the accuracy for detecting the users' search intent as well as the quality of classification during search. [ABSTRACT FROM AUTHOR]

BACKGROUND: Myocardial Infarction (MI) refers to the destruction and death of cells in the myocardium of the heart. Its prevalence increases with age due to changes in the cardiovascular system. The aim of the present study was to combine, summarize, standardize, resolve inconsistencies in the results of studies, and investigate the impact of potential factors on the prevalence rate of MI in the elderly through a systematic review and meta-analysis. METHODS: This systematic review and meta-analysis was conducted from 1987 to March 2022. All relevant published studies were searched in PubMed, Embase, Scopus, Web of Science (WoS) databases, and Google Scholar search engine using related MeSH/Emtree and Free Text words. The heterogeneity among studies was quantified using the I2 index. RESULTS: In the initial search, 35453 studies were identified. After eliminating irrelevant studies, finally, 29 articles with a sample size of 3279136 subjects were included in the meta-analysis. After combining the results of the studies included in the meta-analysis, the total prevalence of MI in the elderly was estimated to be 17.6% (95% CI: 12.8 - 23.7%), 16.1% (95% CI: 11.0 - 22.8%) in males, and 12.5% (95% CI: 9.2 - 16.8%) in females. The prevalence of MI increased with the year of publication and the mean age of the elderly (P < 0.001). CONCLUSION: The results showed that due to the high prevalence of myocardial infarction (MI) in the elderly, it should be addressed within healthcare systems and policy makers should pay more attention to prevention of MI. However, considering the inclusion of heterogeneous studies, the pooled estimation should be interpreted with caution. [ABSTRACT FROM AUTHOR]

Computed tomography angiography (CTA) has validated the use of pericoronary adipose tissue (PCAT) attenuation as a credible indicator of coronary inflammation, playing a crucial role in coronary artery disease (CAD). This study aimed to evaluate the long-term effects of high-dose statins on PCAT attenuation at coronary lesion sites and changes in plaque distribution. Our prospective observational study included 52 patients (mean age 60.43) with chest pain, a low-to-intermediate likelihood of CAD, who had documented atheromatous plaque through CTA, performed approximately 1 year and 3 years after inclusion. We utilized the advanced features of the CaRi-Heart® and syngo.via Frontier® systems to assess coronary plaques and changes in PCAT attenuation. The investigation of changes in plaque morphology revealed significant alterations. Notably, in mixed plaques, calcified portions increased (p < 0.0001), while non-calcified plaque volume (NCPV) decreased (p = 0.0209). PCAT attenuation generally decreased after one year and remained low, indicating reduced inflammation in the following arteries: left anterior descending artery (LAD) (p = 0.0142), left circumflex artery (LCX) (p = 0.0513), and right coronary artery (RCA) (p = 0.1249). The CaRi-Heart® risk also decreased significantly (p = 0.0041). Linear regression analysis demonstrated a correlation between increased PCAT attenuation and higher volumes of NCPV (p < 0.0001, r = 0.3032) and lipid-rich plaque volume (p < 0.0001, r = 0.3281). Our study provides evidence that high-dose statin therapy significantly reduces CAD risk factors, inflammation, and plaque vulnerability, as evidenced by the notable decrease in PCAT attenuation, a critical indicator of plaque progression. [ABSTRACT FROM AUTHOR]

Fuzzy Inference System behavior can be described qualitatively using a natural language, which is known as the expert-driven approach to handling non-statistical uncertainty. Generally, practical applications involve conceptualizing the problem by integrating linguistic uncertainty and using data by integrating stochastic uncertainty. The proposed probabilistic fuzzy system uses the Gaussian Density Function (GDF) to assign a probability to input variables integrating stochastic uncertainty. In addition, a linguistic interpretation is used to project various categories of the GDF integrating linguistic uncertainty. Likewise, one of the relevant aspects of the proposal is to weigh each input variable according to the heuristic interpretation that determines the probability assigned to each of them a priori. Therefore, the main contribution of the research focuses on using the Bayesian Linguistic Conditional System (BLCS) as a mechanism of attention to relate the categories of the different input variables and find their posterior-weighted probability at a normalization stage. Finally, the knowledge base is established through linguistic rules, and the system's output is a Bayesian classifier multiplying its normalized posterior conditional probabilities. The highest probability value of the knowledge base is identified, and the Risk Priority Number Weighted (RPNW) is determined using their respective posterior-normalized probabilities for each input variable. The results are expressed on a simple and precise scale from 1 to 10. They are compared with the Risk Priority Number (RPN), which results in a Failure Mode and Effect Analysis (FMEA). They show similar behaviors for multiple combinations in the evaluations while highlighting different scales. [ABSTRACT FROM AUTHOR]

This study explores the complex relationship between trust, corruption, and tax compliance in fragile states. It examines factors influencing public trust in three government branches: the ruling party (a proxy for the executive), the parliament, and the local government, and examines whether trust in these arms of government impacts tax compliance. We conducted this investigation using Afrobarometer survey data from Guinea, Mali, Sudan, and Zimbabwe as case studies. The study found that restoring public trust and promoting tax compliance are tangible outcomes arising from a steadfast commitment to electoral integrity, transparency, and accountability. This interplay becomes more vital within the framework of state fragility, where institutions are highly strained. The study highlighted that the existence of rampant corruption reduces trust in the ruling party, parliament, and local government council. Furthermore, the joint interaction between corruption and lack of trust significantly undermines the willingness of taxpayers to adhere to tax administration laws. These insights emphasise that combating corruption becomes not only a governance step but also vital to state stability. Thus, African governments should prioritise electoral integrity and combat corruption through enhanced accountability to pave the way for improved governance, enhanced trust, and a more stable path toward a global powerhouse. [ABSTRACT FROM AUTHOR]