Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Nov 30;12(12):2750.
doi: 10.3390/biomedicines12122750.

Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives

Getnet Molla  1   2 , Molalegne Bitew  2
Affiliations
Review

Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives

Getnet Molla et al. Biomedicines. .

Abstract

The field of personalized medicine is undergoing a transformative shift through the integration of multi-omics data, which mainly encompasses genomics, transcriptomics, proteomics, and metabolomics. This synergy allows for a comprehensive understanding of individual health by analyzing genetic, molecular, and biochemical profiles. The generation and integration of multi-omics data enable more precise and tailored therapeutic strategies, improving the efficacy of treatments and reducing adverse effects. However, several challenges hinder the full realization of personalized medicine. Key hurdles include the complexity of data integration across different omics layers, the need for advanced computational tools, and the high cost of comprehensive data generation. Additionally, issues related to data privacy, standardization, and the need for robust validation in diverse populations remain significant obstacles. Looking ahead, the future of personalized medicine promises advancements in technology and methodologies that will address these challenges. Emerging innovations in data analytics, machine learning, and high-throughput sequencing are expected to enhance the integration of multi-omics data, making personalized medicine more accessible and effective. Collaborative efforts among researchers, clinicians, and industry stakeholders are crucial to overcoming these hurdles and fully harnessing the potential of multi-omics for individualized healthcare.

Keywords: epigenomics; genomics; metabolomics; precision medicine; proteomics; transcriptomics.

PubMed Disclaimer

Conflict of interest statement

The authors report no conflicts of interest. The authors alone are responsible for the content and writing in this article.

Figures

Figure 1
Figure 1
Key elements of in silico approaches in precision medicine. Created with Biorender.com. Available online: http://biorender.com/ (accessed on 19 August 2024).
Figure 2
Figure 2
Multi-omics data for the advancement of precision medicine.
See this image and copyright information in PMC

References

    1. Dolgopolov I., Rykov M.Y. The evolution of personalized medicine: Literature review. Res. Pract. Med. J. 2022;9:117–128. doi: 10.17709/2410-1893-2022-9-3-9. - DOI
    1. Vellekoop H., Huygens S., Versteegh M., Szilberhorn L., Zelei T., Nagy B., Koleva-Kolarova R., Tsiachristas A., Wordsworth S., Rutten-van Mölken M., et al. Guidance for the harmonisation and improvement of economic evaluations of personalised medicine. Pharmacoeconomics. 2021;39:771–788. doi: 10.1007/s40273-021-01010-z. - DOI - PMC - PubMed
    1. Sadee W., Wang D., Hartmann K., Toland A.E. Pharmacogenomics: Driving personalized medicine. Pharmacol. Rev. 2023;75:789–814. doi: 10.1124/pharmrev.122.000810. - DOI - PMC - PubMed
    1. Elemento O. The future of precision medicine: Towards a more predictive personalized medicine. Emerg. Top. Life Sci. 2020;4:175–177. - PubMed
    1. Jacob M., Lopata A.L., Dasouki M., Rahman A.M.A. Metabolomics toward personalized medicine. Mass Spectrom. Rev. 2019;38:221–238. doi: 10.1002/mas.21548. - DOI - PubMed

LinkOut - more resources