Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Pregnancy outcomes

Using the methylome to predict pre-eclampsia

Nature Medicine volume 29, pages 2177–2178 (2023)Cite this article

Subjects

A blood test done in early pregnancy that measures cell-free DNA methylation could represent a novel way to predict the risk of preterm pre-eclampsia.

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: First-trimester tests to predict pre-eclampsia.

References

  1. Chappell, L. C., Cluver, C. A., Kingdom, J. & Tong, S. Pre-eclampsia. Lancet 398, 341–354 (2021).

    Article  CAS  PubMed  Google Scholar 

  2. Duley, L., Meher, S., Hunter, K. E., Seidler, A. L. & Askie, L. M. Cochrane Database Syst. Rev. 2019, CD004659 (2019).

    PubMed  PubMed Central  Google Scholar 

  3. Hoffman, M. K. et al. Lancet 395, 285–293 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Rolnik, D. L. et al. N. Engl. J. Med. 377, 613–622 (2017).

    Article  CAS  PubMed  Google Scholar 

  5. von Dadelszen, P., Syngelaki, A., Akolekar, R., Magee, L. A. & Nicolaides, K. H. BJOG 130, 524–530 (2023).

    Article  Google Scholar 

  6. De Borre, M. et al. Nat. Med. https://doi.org/10.1038/s41591-023-02510-5 (2023).

  7. Greenberg, M. V. C. & Bourc'his, D. Nat. Rev. Mol. Cell Biol. 20, 590–607 (2019).

    Article  CAS  PubMed  Google Scholar 

  8. MacDonald, T. M., Walker, S. P., Hannan, N. J., Tong, S. & Kaitu'u-Lino, T. J. EBioMedicine 75, 103780 (2022).

    Article  CAS  PubMed  Google Scholar 

  9. Hastie, R. et al. Am. J. Obstet. Gynecol. 224, 95.e1–95.e12 (2021).

    Article  CAS  PubMed  Google Scholar 

  10. Chaemsaithong, P., Sahota, D. S. & Poon, L. C. Am. J. Obstet. Gynecol. 226, S1071–S1097.e1072 (2022).

    Article  CAS  PubMed  Google Scholar 

  11. Honigberg, M. C. et al. Nat. Med. 29, 1540–1549 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Translational Obstetrics Group, Department of Obstetrics and Gynaecology, University of Melbourne, Heidelberg, Victoria, Australia

    Tu’uhevaha J. Kaitu’u-Lino, Lucy A. Bartho & Stephen Tong

  2. Mercy Perinatal, Mercy Hospital for Women, Heidelberg, Victoria, Australia

    Tu’uhevaha J. Kaitu’u-Lino, Lucy A. Bartho & Stephen Tong

Authors
  1. Tu’uhevaha J. Kaitu’u-Lino
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lucy A. Bartho
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Stephen Tong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tu’uhevaha J. Kaitu’u-Lino.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kaitu’u-Lino, T.J., Bartho, L.A. & Tong, S. Using the methylome to predict pre-eclampsia. Nat Med 29, 2177–2178 (2023). https://doi.org/10.1038/s41591-023-02499-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41591-023-02499-x

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing