Cellular Signalling, Год журнала: 2025, Номер 133, С. 111878 - 111878
Опубликована: Май 16, 2025
Язык: Английский
Cellular Signalling, Год журнала: 2025, Номер 133, С. 111878 - 111878
Опубликована: Май 16, 2025
Язык: Английский
BMC Genomics, Год журнала: 2025, Номер 26(1)
Опубликована: Фев. 19, 2025
Язык: Английский
Процитировано
2International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(4), С. 1715 - 1715
Опубликована: Фев. 17, 2025
Coronary artery atherosclerosis is a common condition characterized by different symptomatology and incidences of risk factors. The disease manifestation may differ; therefore, proper diagnosis essential. preventive, diagnostic, therapeutic arms are still developing to improve patient outcomes. Among diagnostic steps, the non-invasive tools for evaluating non-classical factors related metabolomic profiles gaining attention. aim this study was investigate possible metabolic profiling differences between patients with chronic coronary (CAD) control group based on plasma sphingomyelin levels. consisted 23 (72% male, median age 69 (63-72) years) presenting syndrome confirmed epicardial in angiography 15 (33% 70 (64-72) normal angiographic results. Clinical data were recorded, blood samples collected standard biochemical laboratory assessment profiling. levels evaluated degrees involvement. In addition, severity estimated Gensini Score. subgroups did not differ terms (p = 0.765) co-morbidities, though male sex more CAD 0.007). analysis revealed significant regarding neutrophil count 0.014), neutrophil-to-lymphocyte ratio (NLR) 0.016), high-density lipoprotein (HDL) 0.003). species, there difference SM42:1 level (16.2 (14.2-19.1) vs. 20.8 (18.9-21.7) 0.044) groups, respectively. SM 42:1 independent number involved arteries 0.109). However, Spearman correlations tests performed diagnosed (rho -0.356, p 0.014) measured Score -0.403, 0.006). There no correlation NLR (Spearman's rho -0.135, 0.420), suggesting lack inflammatory associations. Further, sphingomyelins showed relationship such as dyslipidemia diabetes. Lower compared group, indicating significance progression.
Язык: Английский
Процитировано
1Reproductive Biology and Endocrinology, Год журнала: 2025, Номер 23(1)
Опубликована: Апрель 26, 2025
Polycystic ovary syndrome (PCOS) is a pivotal cause of anovulatory infertility and the pathogenesis remains elusive. Cellular senescence sphingolipid metabolism disorder are closely intertwined, both have been demonstrated present within granulosa cells PCOS, while research on combined impact sphingolipids PCOS-related anovulation scarce. Here, we leveraged four datasets PCOS executed differential gene expression analysis, engaged in WGCNA, harnessed machine learning algorithms-including RF, SVM-RFE, LASSO-to deeply explore key genes that interact with PCOS. These were subjected to further analysis construct diagnostic model, forecast immune cell infiltration, identify potential agents. Additionally, testosterone-stimulated cells, validated genes, confirmed dysregulation, evaluated therapeutic efficacy candidate agent. Our pinpointed set (LYN, PLCG2, STAT5B, MMP9, IL6R) showed promise as biomarkers for nomogram was developed. linked various types infiltration. In observed increased these biomarkers, accompanied by signs changes sphingolipids. Importantly, agent aspirin displayed ability ameliorate two processes. This study highlighted important value associated dysregulation Aspirin targeting could be promising drug addressing
Язык: Английский
Процитировано
0Cellular Signalling, Год журнала: 2025, Номер 133, С. 111878 - 111878
Опубликована: Май 16, 2025
Язык: Английский
Процитировано
0