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With increasing age, dyslipidemia becomes a common health problem in the middle-aged and elderly population, posing a significant risk of cardiovascular disease. Aerobic exercise, as a non-pharmacological intervention, is considered to be effective in improving blood lipid levels, but the extent to which different types of aerobic exercise affect blood lipids is not clear. This study aims to investigate the effects of 12 different aerobic exercises on total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol in middle-aged and elderly people aged 45 years and over through systematic review and Bayesian network Meta-analysis of randomized controlled trials. We systematically searched relevant databases and included eligible randomized controlled trials. Bayesian network meta-analysis was used to compare the effects of 12 types of aerobic exercise on lipid levels. A total of 487 randomized controlled trials involving middle-aged and elderly people over 45 years old were included. The results of the network meta-analysis showed that all types of aerobic exercise could reduce blood lipid levels compared with no intervention in middle-aged and elderly people. In terms of total cholesterol, triglyceride, and low-density lipoprotein cholesterol, swimming had the most significant effect. For HDL cholesterol, dance showed a better effect. Studies have shown that swimming and dancing have a positive effect on improving blood lipid levels in middle-aged and elderly people. It is recommended to choose the appropriate type of exercise according to personal preference and physical condition.
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Aims: To systematically evaluate the comprehensive effect of combining Naoxintong capsule (NXT) with Western medicine (WM) on coronary heart disease post-percutaneous coronary intervention (PCI). Methods: Randomized controlled trials (RCTs) of NXT for patients with CHD after PCI were systematically searched across multiple databases, including the Cochrane Library, PubMed, Embase, Chinese National Knowledge Infrastructure (CNKI), Chinese Science and Technology Journal Database (VIP), and Wan Fang, from inception until 31 January 2023. Study selection, data extraction, and quality assessment were performed by two independent reviewers. The quality of the included studies was evaluated using version 2 of the Cochrane risk-of-bias tool (RoB 2), and data analysis was performed using R4.2.2. Results: Fifteen RCTs conducted between 2011 and 2022 and involving 1,551 patients were identified, with 774 and 777 patients in the experimental and control groups respectively. It was found that the NXT and WM combination was superior to the WM therapy alone in terms of the effective clinical rate (odds ratio [OR] = 4.69, 95% confidence interval [CI] = 2.13-10.30), effective rate in electrocardiogram (OR = 6.92, 95% CI = 3.44-13.92), effective rate in angina (OR = 5.90, 95% CI = 3.04-11.46), left ventricular ejection fraction (mean difference [MD] = 4.94, 95% CI = 2.89-6.99), brain natriuretic peptide (MD = -294.00, 95% CI = -584.60 to -3.39), creatine kinase-MB (MD = -7.82, 95% CI = -13.26 to -2.37), major adverse cardiovascular events (OR = 0.24, 95% CI = 0.14-0.43), maximum platelet aggregation rate (MD = -8.33, 95% CI = -11.64 to -5.01), and Chinese medicine evidence score (OR = 9.79, 95% CI = 3.57-26.85). However, there was no significant difference in cardiac troponin I level reduction (MD = -0.13, 95% CI = 0.35-0.09) or the occurrence of adverse medicine events (OR = 0.92, 95% CI = 0.41-2.05). Meta-regression and subgroup analyses indicated that NXT capsule dosage, treatment duration, and patient baseline characteristics contributed to the heterogeneity. Conclusion: A combination of NXT and WM can improve clinical outcomes in patients undergoing PCI. However, further studies are needed to confirm the reliability and safety of this combined treatment approach. Systematic Review Registration: PROSPERO, https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=369174, Identifier CRD42022369174.
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Myocardial remodeling (MR) following myocardial infarction (MI) contributes to heart failure. Inflammation is a key determinant in cardiac remodeling, with potential prognostic improvements by inhibiting inflammatory factors. Pattern recognition receptors, including interferon gamma-inducible protein-16 (IFI-16), play significant roles in this process, yet its specific involvement remains underexplored. This study investigates IFI-16's role in initiating inflammation via the inflammasome and its direct interaction with galectin-3 protein post-MI. Elevated IFI-16 levels were observed in human and rat myocytes and a mouse MI model under hypoxic, nutrient-deprived conditions, correlating with increased inflammation-associated proteins. Suppression of IFI-16/IFI-204 using short hairpin RNA (shRNA) lentivirus or adeno-associated virus decreased inflammatory factor activation, thereby mitigating remodeling and enhancing cardiac function post-MI. Co-immunoprecipitation (coIP) and double-fluorescence staining confirmed IFI-16's ability to interact directly with galectin-3. These findings underscore IFI-16's critical role as a pro-inflammatory factor in post-MI MR, suggesting its inhibition as a potential therapeutic strategy.
RESUMEN
BACKGROUND: Atherosclerosis and depression contribute to each other; however, mechanisms linking them at the genetic level remain unexplored. This study aimed to identify shared gene signatures and related pathways between these comorbidities. METHODS: Atherosclerosis-related datasets were downloaded from the Gene Expression Omnibus database. Differential and weighted gene co-expression network analyses were employed to identify atherosclerosis-related genes. Depression-related genes were downloaded from the DisGeNET database, and the overlaps between atherosclerosis-related genes and depression-related genes were characterized as crosstalk genes. The functional enrichment analysis and protein-protein interaction network were performed in these gene sets. Subsequently, the Boruta algorithm and Recursive Feature Elimination algorithm were performed to identify feature-selection genes. A support vector machine was constructed to measure the accuracy of calculations, and two external validation sets were included to verify the results. RESULTS: Based on two atherosclerosis-related datasets (GSE28829 and GSE43292), 165 genes were determined as atherosclerosis-related genes. Meanwhile, 1478 depression-related genes were obtained. After intersecting, 24 crosstalk genes were identified, and two pathways, "lipid and atherosclerosis" and "tryptophan metabolism," were revealed as mutual pathways according to the enrichment analysis results. Through the protein-protein interaction network, Molecular Complex Detection plugin, and cytoHubba plugin, PTPRC and MMP9 were identified as the hub gene. Moreover, SLC22A3, CASP1, AMPD3, and PIK3CG were recognized as feature-selection genes. Based on two external validation sets, CASP1 and MMP9 were finally determined as the critical crosstalk genes. CONCLUSIONS: "Lipid and atherosclerosis" and "tryptophan metabolism" were possibly the pathways of atherosclerosis secondary to depression and depression due to atherosclerosis, respectively. CASP1 and MMP9 were revealed as the most pivotal candidates linking atherosclerosis and depression by mediating these two pathways. Further experimentation is needed to confirm these conclusions.