Опубликована: Янв. 1, 2024
Язык: Английский
BMC Public Health, Год журнала: 2025, Номер 25(1)
Опубликована: Март 1, 2025
Metabolic diseases (MDs), exemplified by diabetes, hypertension, and dyslipidemia, have become increasingly prevalent with rising living standards, posing significant public health challenges. The MDs are influenced a complex interplay of genetic factors, lifestyle choices, socioeconomic conditions. Additionally, environmental pollutants, particularly air pollutants (APs), attracted increasing attention for their potential role in exacerbating these MDs. However, the impact APs on remains unclear. This study introduces novel machine learning (ML) pipeline, an Algorithm Spatial Relationships Analysis between Exposome Diseases (ASEMD), to analyze spatial associations at prefecture-level city scale China. ASEMD pipeline comprises three main steps: (i) autocorrelation is evaluated using Moran's I statistic Local Indicators Association (LISA) maps. (ii) dimensionality reduction similarities identification clusters Principal Component (PCA), k-means clustering, Jaccard index calculations, further validated through (iii) AP exposure adjusted demographic confounders predict models (e.g., eXtreme Gradient Boosting (XGBoost), Random Forest (RF), Decision Tree (DT), LightGBM, Multi-Layer Perceptron (MLP)). SHAP values employed identify key that linked Model performance 10-fold cross-validation five different metrics. data utilized include CHARLS (2015) meteorological (2013-2015). Significant correlations were found prevalence higher rates observed alignment elevated concentrations. By adjusting confounders, effectively predicted risk developing (AUROC=0.890, 0.877, 0.710 respectively). results showed $$\mathrm CO$$ , PM_{2.5}$$ AQI$$ strongly correlated whereas NO_{2}$$ PM_{10}$$ significantly associated dyslipidemia. For O_{3}$$ mostly correlated. Sensitivity analyses across regions types underscored robustness our conclusions. successfully integrates ML models, epidemiological methods, analysis techniques, providing robust framework understanding interactions We also identified specific APs, including $$PM_{10}$$ SO_{2}$$ as being hypertension central northern cities. Future region-specific strategies or interventions, especially those areas high pollutant levels, needed mitigate pollution's metabolic health.
Язык: Английский
Процитировано
0
European Journal of Clinical Nutrition, Год журнала: 2025, Номер unknown
Опубликована: Апрель 25, 2025
Язык: Английский
Процитировано
0
Gefässchirurgie, Год журнала: 2025, Номер unknown
Опубликована: Апрель 29, 2025
Процитировано
0
International Journal of Nanomedicine, Год журнала: 2025, Номер Volume 20, С. 6611 - 6636
Опубликована: Май 1, 2025
Hyperlipidemia, characterized by abnormally high lipid levels in the bloodstream, is a significant risk factor for cardiovascular diseases. Conventional treatments have limitations efficacy and may lead to side effects. Nanotechnology offers unique advantages drug delivery, including improved stability, prolonged circulation time, enhanced tissue targeting. Using nanoparticles as carriers, therapeutic agents can be precisely delivered target site, such liver or arterial walls, where metabolism occurs. Chitosan represent an advanced approach engineered with precision atherosclerotic plaques. They dual functionalities, serving diagnostic purposes managing atherosclerosis. Targeting strategies involve coating ligands antibodies that recognize specific receptors overexpressed hyperlipidemic conditions. This selective uptake maximizes effect while minimizing off-target effects, making it promising alternative traditional treatments. The review provides overview of recent research developments dyslipidemia based on molecular pathway dyslipidemia, focusing Chitosan-based delivery systems allow controlled release, targeting, enhancing patient compliance.
Язык: Английский
Процитировано
0
Current Diabetes Reports, Год журнала: 2024, Номер unknown
Опубликована: Окт. 2, 2024
Язык: Английский
Процитировано
2
BMC Infectious Diseases, Год журнала: 2024, Номер 24(1)
Опубликована: Авг. 9, 2024
This dual burden of tuberculosis (TB) and diabetes mellitus (DM) has become a global public health concern. study aims to compare drug resistance in drug-resistant (DR-TB) patients with without DM analyse the risk factors multidrug-resistant (MDR-TB).
Язык: Английский
Процитировано
1
Cureus, Год журнала: 2024, Номер unknown
Опубликована: Авг. 17, 2024
Hypertriglyceridemia is characterized by elevated triglyceride levels in the blood, which increases risk of cardiovascular disease and pancreatitis. This condition stems from multiple factors including lifestyle choices, genetics, conditions such as diabetes metabolic syndrome. Apolipoprotein C-III (APOC3), a protein for lipid metabolism, hinders enzymes necessary breaking down triglycerides thus plays key role hypertriglyceridemia. Variations APOC3 gene are associated with varying among individuals. Recent genetic studies clinical trials have shed light on potential targeting potentially promising therapeutic modality Antisense oligonucleotides like volanesorsen displayed effectiveness lowering individuals severe review article delves into how influences control its use to manage
Язык: Английский
Процитировано
1
Cellular and Molecular Gastroenterology and Hepatology, Год журнала: 2024, Номер 19(1), С. 101409 - 101409
Опубликована: Окт. 12, 2024
Язык: Английский
Процитировано
1
Journal of Ethnopharmacology, Год журнала: 2024, Номер unknown, С. 119012 - 119012
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
0
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0