Skip to main content

Thank you for visiting 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.


Combining blood-based biomarkers to predict risk for Alzheimer’s disease dementia

Accurate blood tests for Alzheimer’s disease (AD) are critical tools that have the potential to revolutionize dementia research, clinical trials and clinical care. Models combining blood-based biomarkers that represent multiple aspects of AD brain pathology with key individual level factors may improve prediction of AD dementia.

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

Relevant articles

Open Access articles citing this article.

Access options

Buy article

Get time limited or full article access on ReadCube.


All prices are NET prices.

Fig. 1: Predicting progression to dementia using a single biomarker cut-off versus a multivariate model.


  1. Nakamura, A. et al. Nature 554, 249–254 (2018).

    Article  CAS  Google Scholar 

  2. Ovod, V. et al. Alzheimers. Dement. 13, 841–849 (2017).

    Article  Google Scholar 

  3. Schindler, S. E. et al. Neurology 93, e1647–e1659 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Palmqvist, S. et al. JAMA 324, 772–781 (2020).

    Article  CAS  Google Scholar 

  5. Mielke, M. M. et al. Alzheimers. Dement. 14, 989–997 (2018).

    Article  Google Scholar 

  6. Barthelemy, N. R., Horie, K., Sato, C. & Bateman, R. J. J. Exp. Med. 217, e20200861 (2020).

    Article  Google Scholar 

  7. Janelidze, S. et al. Nat. Med. 26, 379–386 (2020).

    Article  CAS  Google Scholar 

  8. Karikari, T. K. et al. Lancet Neurol. 19, 422–433 (2020).

    Article  CAS  Google Scholar 

  9. Preische, O. et al. Nat. Med. 25, 277–283 (2019).

    Article  CAS  Google Scholar 

  10. Mattsson, N., Cullen, N. C., Andreasson, U., Zetterberg, H. & Blennow, K. JAMA Neurol. 76, 791–799 (2019).

    Article  Google Scholar 

  11. Cullen, N. C. et al. Nat. Aging (2020).

  12. Karran, E. & Hardy, J. N. Engl. J. Med. 370, 377–378 (2014).

    Article  CAS  Google Scholar 

  13. Bateman, R. J. & Klunk, W. E. Neurotherapeutics 5, 381–390 (2008).

    Article  CAS  Google Scholar 

  14. Sperling, R. A. et al. Sci. Transl. Med. 6, 228fs213 (2014).

    Article  Google Scholar 

  15. Rabinovici, G. D. et al. JAMA 321, 1286–1294 (2019).

    Article  Google Scholar 

Download references


S.E.S. is supported by National Institute on Aging (grant no. K23AG053426).

Author information

Authors and Affiliations


Corresponding author

Correspondence to Suzanne E. Schindler.

Ethics declarations

Competing interests

R.J.B. co-founded C2N Diagnostics. Washington University and R.J.B. have equity ownership interest in C2N Diagnostics and receive royalty income based on technology (stable isotope labeling kinetics and blood plasma assay) licensed by Washington University to C2N Diagnostics. R.J.B. receives income from C2N Diagnostics for serving on the Scientific Advisory Board. Washington University, with R.J.B. as co-inventor, have filed patent applications (US Patent application nos. 16/610,428; 62/898,407; 62/962,296; PCT/US2020/012959) on technology related to the processes described in this article. R.J.B. has received honoraria as a speaker/consultant/advisory board member from Amgen, AC Immune, Eisai, F. Hoffman-LaRoche and Janssen, and reimbursement of travel expenses from AC Immune, F. Hoffman-La Roche and Janssen. S.E.S. declares no competing interests.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Schindler, S.E., Bateman, R.J. Combining blood-based biomarkers to predict risk for Alzheimer’s disease dementia. Nat Aging 1, 26–28 (2021).

Download citation

  • Published:

  • Issue Date:

  • DOI:

This article is cited by


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