Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets
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Updated: Oct 6, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
Published on: December 15, 2023
Lei Wu1,2, Xinqiang Xie1, Tingting Liang1,2
1Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China.
Abstract:
Aging is closely related to the occurrence of human diseases; however, its exact biological mechanism is unclear. Advancements in high-throughput technology provide new opportunities for omics research to understand the pathological process of various complex human diseases. However, single-omics technologies only provide limited insights into the biological mechanisms of diseases. DNA, RNA, protein, metabolites, and microorganisms usually play complementary roles and perform certain biological functions together. In this review, we summarize multi-omics methods based on the most relevant biomarkers in single-omics to better understand molecular functions and disease causes. The integration of multi-omics technologies can systematically reveal the interactions among aging molecules from a multidimensional perspective. Our review provides new insights regarding the discovery of aging biomarkers, mechanism of aging, and identification of novel antiaging targets. Overall, data from genomics, transcriptomics, proteomics, metabolomics, integromics, microbiomics, and systems biology contribute to the identification of new candidate biomarkers for aging and novel targets for antiaging interventions.
Insights
Integrating multi-omics data offers a comprehensive view of aging mechanisms and disease links. This approach identifies novel aging biomarkers and potential anti-aging targets for future interventions.
Area of Science:
- Gerontology
- Systems Biology
- Biomarker Discovery
Background:
- Aging is linked to human diseases, but its biological mechanisms remain largely unknown.
- Single-omics approaches provide limited insights into complex disease pathology.
- Multi-omics data, including genomics, transcriptomics, proteomics, metabolomics, and microbiomics, offer complementary biological insights.
Purpose of the Study:
- To review multi-omics methods for understanding aging mechanisms.
- To explore the integration of single-omics biomarkers for a holistic view of aging.
- To identify novel aging biomarkers and anti-aging therapeutic targets.
Main Methods:
- Summarizing multi-omics approaches and their application to aging research.
- Integrating data from genomics, transcriptomics, proteomics, metabolomics, and microbiomics.
- Analyzing interactions among aging molecules from a multidimensional perspective.
Main Results:
- Multi-omics integration provides a systematic understanding of molecular interactions in aging.
- This approach enhances the discovery of aging biomarkers.
- Novel anti-aging targets can be identified through comprehensive data analysis.
Conclusions:
- Multi-omics technologies are crucial for deciphering the complex mechanisms of aging.
- The integration of diverse omics data aids in identifying new biomarkers and therapeutic strategies for aging.
- This review highlights the potential of multi-omics for advancing anti-aging research and interventions.
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