ArticleFrontiers in cardiovascular medicine2026
Integrative multi-omics profiling of mild cognitive impairment in older patients combined with coronary heart disease: a cross-sectional cohort study.
Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: With the escalating global burden of population ageing, the comorbidity of geriatric coronary heart disease (CHD) and mild cognitive impairment (MCI) has emerged as a significant public health concern. This study aims to elucidate the underlying clinical disease features of MCI in elderly CHD patients through comprehensive multi-omics analyses and to establish a detailed phenomics profile. Methods: A cross-sectional study design will be implemented, enrolling 364 elderly patients diagnosed with CHD. Participants will be divided into MCI and cognitively normal groups based on Montreal Cognitive Assessment (MoCA) scores. Extensive data collection will include demographic characteristics, clinical parameters, laboratory investigations, and echocardiographic findings. These clinical data will be integrated with multi-omics analyses (including genomics, proteomics, and metabolomics) to identify differential biomarkers between the two groups. Discussion: This study anticipates constructing an integrative network map delineating the multi-omics mechanisms underlying MCI in elderly CHD patients by correlating macroscopic clinical phenotypes with microscopic molecular characteristics. The findings are expected to provide a scientific foundation for early detection and intervention strategies. While acknowledging the inherent limitations of the cross-sectional design, future prospective studies are warranted to validate these findings. This investigation offers novel insights and potential therapeutic strategies for the prevention and management of comorbid CHD and MCI in the ageing population. This study has completed registration in the International Traditional Medicine Clinical Trial Registration Platform (ITMCTR2024000871). Clinical Trial Registration: https://itmctr.ccebtcm.org.cn, identifier ITMCTR2024000871.
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