Multiomics insight into disease trajectories of cardiometabolic diseases and cancer

Multimorbidity of cardiometabolic disease (CMD) and cancer is a growing but understudied global challenge in an aging world. Here, we perform multistate analysis in 429,555 UK Biobank participants to investigate transition patterns, identify multiomics signatures, and construct prediction models from baseline to single and multiple morbidities. During a median follow-up of 15 years, 105,903 participants develop single morbidity and 15,088 develop multimorbidity of CMD and cancer. Participants with multimorbidity have a 13%-33% higher mortality probability than those healthy or with single morbidity. In individuals living with multimorbidity, the development of CMD before cancer presents a higher mortality risk than the reverse order. Distinct and shared multiomics signatures are identified, with proteomics scores outperforming other omics in predicting disease trajectories (ΔC-statistic vs. base model: 0.03-0.14). This study reveals distinct transition patterns in CMD-cancer multimorbidity cluster and develops potentially useful prediction tools for supporting risk management if externally validated.

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Publication Details

Journal
Nature Communications
Published
2025-12-17
DOI
https://doi.org/10.1038/s41467-025-67510-0
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
0.00

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article

Multiomics insight into disease trajectories of cardiometabolic diseases and cancer

Chunlai Zeng, Lan Xu, Guangrui Yang, Nannan Feng et al.
Nature Communications
Chronic Disease Management Strategies
article

Multiomics insight into disease trajectories of cardiometabolic diseases and cancer

Chunlai Zeng, Lan Xu, Guangrui Yang, Nannan Feng, Xihao Du, Victor W. Zhong, Chen Meng, Xuanwei Jiang
article en

Abstract

Multimorbidity of cardiometabolic disease (CMD) and cancer is a growing but understudied global challenge in an aging world. Here, we perform multistate analysis in 429,555 UK Biobank participants to investigate transition patterns, identify multiomics signatures, and construct prediction models from baseline to single and multiple morbidities. During a median follow-up of 15 years, 105,903 participants develop single morbidity and 15,088 develop multimorbidity of CMD and cancer. Participants with multimorbidity have a 13%-33% higher mortality probability than those healthy or with single morbidity. In individuals living with multimorbidity, the development of CMD before cancer presents a higher mortality risk than the reverse order. Distinct and shared multiomics signatures are identified, with proteomics scores outperforming other omics in predicting disease trajectories (ΔC-statistic vs. base model: 0.03-0.14). This study reveals distinct transition patterns in CMD-cancer multimorbidity cluster and develops potentially useful prediction tools for supporting risk management if externally validated.

Nature CommunicationsVol. 17(1)
Shanghai Jiao Tong University (CN), Lishui University (CN), Lishui Central Hospital (CN), Lishui City People's Hospital (CN)
National Natural Science Foundation of China, Lishui University
Openalex Percentile: Top 47%
Chronic Disease Management Strategies
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Multiomics insight into disease trajectories of cardiometabolic diseases and cancer — Chunlai Zeng, Lan Xu, et al. · Nature Communications (2025) | TGRS Research Map | TGRS