Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets

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.

Biomolecules
|January 21, 2022
PubMed

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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