Atherosclerosis · 2025
Genetic determinants of blood-cell traits and the risk of cardiometabolic Diseases: Triangulating evidence from Mendelian randomization and observational analyses.
СтатьяНаблюдательное исследованиеПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Huang Jingxian, Meena Devendra, Smith Alexander, Zuber Verena, Pinto Rui Climaco, Dib Marie-Joe, Tzoulaki Ioanna, Dehghan Abbas
Аннотация
BACKGROUND AND AIMS: Blood cell traits (BCTs) are linked to cardiometabolic diseases (CMDs) through mechanisms such as inflammation, thrombosis, endothelial dysfunction, and lipid metabolism. BCTs could serve as readily available, cost-effective biomarkers to enhance CVD risk prediction and, if proven causal, may also emerge as novel therapeutic targets. This study examined the genetic architecture and tested potential causal relations between 29 BCTs and 20 CMDs.
METHODS: We employed univariable Mendelian randomization (UVMR) using inverse-variance weighting as the primary method, MR-Egger and weighted-median as sensitivity analyses, and MR-PRESSO to detect pleiotropic outliers. Multivariable MR Bayesian Model Averaging (MR-BMA) was applied to prioritize the most likely causal factors. To validate findings, we conducted observational analyses among ∼0.4 million UK Biobank participants.
RESULTS: UVMR demonstrated that plateletcrit is associated with cardioembolic stroke (log odds ratio [logORUVMR]: 2.63), a finding also prioritized by MR-BMA (marginal inclusion probability (MIP): 0.96) and supported by observational analysis (hazard ratio (HR): 1.11). We found evidence supporting a potential causal association of neutrophils and red cell distribution width with small-vessel stroke (logORUVMR: 0.10) and coronary artery disease (logORUVMR: 0.06), a finding that was further supported by observational data analyses (HRsmall-vessel stroke: 1.22; HRcoronary artery disease: 1.16). Additionally, higher haemoglobin concentration was linked to lower pulse pressure (θUVMR: -0.64), with further support from MR-BMA (MIP: 0.97). Furthermore, reticulocyte indices were associated with both low-density lipoprotein cholesterol (θUVMR: 1.22) and total cholesterol (θUVMR: 1.06), and it was identified as a top-ranked risk factor for these outcomes in MR-BMA.
CONCLUSIONS: Our study provides supporting evidence for a potential causal effect of BCTs on CMDs, which might pave the way for novel biomarkers and therapeutic targets for precision medicine approaches.
METHODS: We employed univariable Mendelian randomization (UVMR) using inverse-variance weighting as the primary method, MR-Egger and weighted-median as sensitivity analyses, and MR-PRESSO to detect pleiotropic outliers. Multivariable MR Bayesian Model Averaging (MR-BMA) was applied to prioritize the most likely causal factors. To validate findings, we conducted observational analyses among ∼0.4 million UK Biobank participants.
RESULTS: UVMR demonstrated that plateletcrit is associated with cardioembolic stroke (log odds ratio [logORUVMR]: 2.63), a finding also prioritized by MR-BMA (marginal inclusion probability (MIP): 0.96) and supported by observational analysis (hazard ratio (HR): 1.11). We found evidence supporting a potential causal association of neutrophils and red cell distribution width with small-vessel stroke (logORUVMR: 0.10) and coronary artery disease (logORUVMR: 0.06), a finding that was further supported by observational data analyses (HRsmall-vessel stroke: 1.22; HRcoronary artery disease: 1.16). Additionally, higher haemoglobin concentration was linked to lower pulse pressure (θUVMR: -0.64), with further support from MR-BMA (MIP: 0.97). Furthermore, reticulocyte indices were associated with both low-density lipoprotein cholesterol (θUVMR: 1.22) and total cholesterol (θUVMR: 1.06), and it was identified as a top-ranked risk factor for these outcomes in MR-BMA.
CONCLUSIONS: Our study provides supporting evidence for a potential causal effect of BCTs on CMDs, which might pave the way for novel biomarkers and therapeutic targets for precision medicine approaches.