# Integrative multi-omics profiling of mild cognitive impairment in older patients combined with coronary heart disease: a cross-sectional cohort study

**Authors:** Tong Li, Yueying Zhang, Jiaqi Hui, Wenxin Zou, Zhongwen Qi, Fengqin Xu

PMC · DOI: 10.3389/fcvm.2026.1602893 · Frontiers in Cardiovascular Medicine · 2026-02-23

## TL;DR

This study explores how mild cognitive impairment and heart disease co-occur in older adults using multi-omics data to find potential biomarkers and treatment strategies.

## Contribution

The study introduces an integrative multi-omics approach to uncover the biological mechanisms linking mild cognitive impairment and coronary heart disease in elderly patients.

## Key findings

- Multi-omics profiling will identify differential biomarkers between MCI and cognitively normal elderly CHD patients.
- An integrative network map will correlate clinical and molecular features of MCI in CHD patients.
- Findings may support early detection and intervention strategies for comorbid MCI and CHD.

## Abstract

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.

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.

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).

https://itmctr.ccebtcm.org.cn, identifier ITMCTR2024000871.

## Linked entities

- **Diseases:** coronary heart disease (MONDO:0005010)

## Full-text entities

- **Diseases:** Cognitive Impairment (MESH:D003072), Chronic Coronary Artery Disease (MESH:D003324), Dementia (MESH:D003704), infarct (MESH:D007238), Cardiovascular diseases (MESH:D002318), Atherosclerosis (MESH:D050197), stenosis (MESH:D003251), chest pain (MESH:D002637), accidents (MESH:D000081084), MCI (MESH:D060825), ACS (MESH:D054058), CHD (MESH:D003327)
- **Chemicals:** alcohol (MESH:D000438), Lipid (MESH:D008055), SDS (MESH:D012967), EDTA (MESH:D004492)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

16 references — full list in the complete paper: https://tomesphere.com/paper/PMC12967958/full.md

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Source: https://tomesphere.com/paper/PMC12967958