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
Observational Study
. 2024 May;23(5):500-510.
doi: 10.1016/S1474-4422(24)00084-X.

Comparison of tau spread in people with Down syndrome versus autosomal-dominant Alzheimer's disease: a cross-sectional study

Collaborators, Affiliations
Observational Study

Comparison of tau spread in people with Down syndrome versus autosomal-dominant Alzheimer's disease: a cross-sectional study

Julie K Wisch et al. Lancet Neurol. 2024 May.

Erratum in

Abstract

Background: In people with genetic forms of Alzheimer's disease, such as in Down syndrome and autosomal-dominant Alzheimer's disease, pathological changes specific to Alzheimer's disease (ie, accumulation of amyloid and tau) occur in the brain at a young age, when comorbidities related to ageing are not present. Studies including these cohorts could, therefore, improve our understanding of the early pathogenesis of Alzheimer's disease and be useful when designing preventive interventions targeted at disease pathology or when planning clinical trials. We compared the magnitude, spatial extent, and temporal ordering of tau spread in people with Down syndrome and autosomal-dominant Alzheimer's disease.

Methods: In this cross-sectional observational study, we included participants (aged ≥25 years) from two cohort studies. First, we collected data from the Dominantly Inherited Alzheimer's Network studies (DIAN-OBS and DIAN-TU), which include carriers of autosomal-dominant Alzheimer's disease genetic mutations and non-carrier familial controls recruited in Australia, Europe, and the USA between 2008 and 2022. Second, we collected data from the Alzheimer Biomarkers Consortium-Down Syndrome study, which includes people with Down syndrome and sibling controls recruited from the UK and USA between 2015 and 2021. Controls from the two studies were combined into a single group of familial controls. All participants had completed structural MRI and tau PET (18F-flortaucipir) imaging. We applied Gaussian mixture modelling to identify regions of high tau PET burden and regions with the earliest changes in tau binding for each cohort separately. We estimated regional tau PET burden as a function of cortical amyloid burden for both cohorts. Finally, we compared the temporal pattern of tau PET burden relative to that of amyloid.

Findings: We included 137 people with Down syndrome (mean age 38·5 years [SD 8·2], 74 [54%] male, and 63 [46%] female), 49 individuals with autosomal-dominant Alzheimer's disease (mean age 43·9 years [11·2], 22 [45%] male, and 27 [55%] female), and 85 familial controls, pooled from across both studies (mean age 41·5 years [12·1], 28 [33%] male, and 57 [67%] female), who satisfied the PET quality-control procedure for tau-PET imaging processing. 134 (98%) people with Down syndrome, 44 (90%) with autosomal-dominant Alzheimer's disease, and 77 (91%) controls also completed an amyloid PET scan within 3 years of tau PET imaging. Spatially, tau PET burden was observed most frequently in subcortical and medial temporal regions in people with Down syndrome, and within the medial temporal lobe in people with autosomal-dominant Alzheimer's disease. Across the brain, people with Down syndrome had greater concentrations of tau for a given level of amyloid compared with people with autosomal-dominant Alzheimer's disease. Temporally, increases in tau were more strongly associated with increases in amyloid for people with Down syndrome compared with autosomal-dominant Alzheimer's disease.

Interpretation: Although the general progression of amyloid followed by tau is similar for people Down syndrome and people with autosomal-dominant Alzheimer's disease, we found subtle differences in the spatial distribution, timing, and magnitude of the tau burden between these two cohorts. These differences might have important implications; differences in the temporal pattern of tau accumulation might influence the timing of drug administration in clinical trials, whereas differences in the spatial pattern and magnitude of tau burden might affect disease progression.

Funding: None.

PubMed Disclaimer

Conflict of interest statement

Declaration of interests TLSB has received funding from the National Institutes of Health and Siemens; has a licensing agreement from Sora Neuroscience but receives no financial compensation; has received honoraria for lectures, presentations, speakers bureaus, or educational events from Biogen and Eisai Genetech; has served on a scientific advisory board for Biogen; holds a leadership role in other board, society, committee, or advocacy groups for the American Society for Neuroradiology (unpaid) and Quantitative Imaging Biomarkers Alliance (unpaid); and has participated in radiopharmaceuticals and technology transfers with Avid Radiopharmaceuticals, Cerveau, and LMI. EMD received support from the National Institute on Aging, an anonymous organisation, the GHR Foundation, the DIAN-TU Pharma Consortium, Eli Lilly, and F Hoffmann La-Roche; has received speaking fees from Eisai and Eli Lilly; and is on the data safety and monitoring board and advisory boards of Eli Lilly, Alector, and Alzamend. WS has received research funding from the National Institute on Aging and the Eunice Kennedy Shriver National Institute of Child Health and Human Development. JPC serves as the chair of the American Neurological Association Dementia and Aging Special Interest Group and is on the medical advisory board of Humana Healthcare. CC has received consulting fees from GSK and Alector. AMF reports personal fees from Roche Diagnostics, Araclon/Grifols, and Diadem Research and grants from Biogen, outside the submitted work. BLH has received research funding from Roche and Autism Speaks; receives royalties from Oxford University Press for book publications; and is the chair of the data safety and monitoring board for the US Department of Defense-funded study Comparative Effectiveness of EIBI and MABA (NCT04078061). BTC receives research funding from the National Institutes of Health. EH receives research funding from the National Institutes of Health and the BrightFocus Foundation. FL is supported by grants from the National Institute on Aging. HDR has received funding from the National Institutes of Health and is on the scientific advisory committee for the Hereditary Disease Foundation. J-HL has received research funding from the National Institutes of Health and the National Institute on Aging. RJP receives research funding from the National Institutes of Health and the National Institute on Aging. RJB is Director of DIAN-TU and Principal Investigator of DIAN-TU001; receives research support from the National Institute on Aging of the National Institutes of Health, DIAN-TU trial pharmaceutical partners (Eli Lilly, F Hoffmann-La Roche, Janssen, Eisai, Biogen, and Avid Radiopharmaceuticals), the Alzheimer's Association, the GHR Foundation, an anonymous organisation, the DIAN-TU Pharma Consortium (active members Biogen, Eisai, Eli Lilly, Janssen, and F Hoffmann-La Roche/Genentech; previous members AbbVie, Amgen, AstraZeneca, Forum, Mithridion, Novartis, Pfizer, Sanofi, and United Neuroscience), the NfL Consortium (F Hoffmann-La Roche, Biogen, AbbVie, and Bristol Myers Squibb), and the Tau SILK Consortium (Eli Lilly, Biogen, and AbbVie); has been an invited speaker and consultant for AC Immune, F Hoffmann-La Roche, the Korean Dementia Association, the American Neurological Association, and Janssen; has been a consultant for Amgen, F Hoffmann-La Roche, and Eisai; and has submitted the US non-provisional patent application named Methods for Measuring the Metabolism of CNS Derived Biomolecules In Vivo (13/005,233 [RJB and DH]) and a provisional patent application named Plasma Based Methods for Detecting CNS Amyloid Deposition (PCT/UC2018/030518 [VO and RJB]). BMA receives research funding from the National Institutes of Health and has a patent (Markers of Neurotoxicity in CAR T Patients). MSR has received consulting fees from AC Immune, Embic, and Keystone Bio and has received research support from the National Institutes of Health, Avid, Baxter, Eisai, Elan, Genentech, Janssen, Lilly, Merck, and Roche. JHR has received funding from the Korea Dementia Research Project through the Korea Dementia Research Center, funded by the Ministry of Health & Welfare and the Ministry of Science and ICT, South Korea (HU21C0066). All other authors declare no competing interests.

Figures

Figure 1:
Figure 1:. Tau spatial staging in people with Down syndrome and autosomal-dominant Alzheimer’s disease
Spatial staging shows the magnitude of tau spread in regions of the brain. Stage 1 indicates little spread across the brain, and stage 4 indicates that tau has spread to virtually all parts of the brain. The frequency of abnormally increased tau PET is shown for people with Down syndrome (A) and autosomal-dominant Alzheimer’s disease (C). The spatial pattern of abnormally increased tau PET across the brain is shown for people with Down syndrome (B) and autosomal-dominant Alzheimer’s disease (D). Within people with Down syndrome, the earliest changes in tau burden occurred subcortically (amygdala, hippocampus, and pallidum) and were followed by changes in the entorhinal cortex (B). With autosomal-dominant Alzheimer’s disease participants, the earliest changes in tau burden were seen in the medial temporal lobe with subcortical changes occurring later (D).
Figure 2:
Figure 2:. Tau PET burden versus cortical amyloid burden for selected brain regions in people with Down syndrome and autosomal-dominant Alzheimer’s disease
Three representative regions of interest—the entorhinal cortex (A), precuneus (B), and fusiform gyrus (C)—showed a similar pattern for tau burden (measured as SUVR) as a function of amyloid burden (measured as centiloids). For individuals who had very high amyloid burden, the tau PET burden was greater for people with Down syndrome than for those with autosomal-dominant Alzheimer’s disease. Individual dots show individual tau concentrations relative to amyloid and the centred line represents the generalised additive model fit. Shaded regions indicate 95% CIs. SUVR=standardised uptake value ratio.
Figure 3:
Figure 3:. Temporal pattern of pathological changes in amyloid and tau within selected brain regions in people with Down syndrome and autosomal-dominant Alzheimer’s disease
Plots show differences in tau burden (measured as SUVR) between familial controls and people with Down syndrome (A, B, C) and autosomal-dominant Alzheimer’s disease (D, E, F) in three representative regions of interest—the entorhinal cortex (A, D), precuneus (B, E), and fusiform gyrus (C, F). For both Down syndrome and autosomal-dominant Alzheimer’s disease, the timepoint when the burden of amyloid or tau was greater than that of familial controls was calculated with regards to EYOs. When the CI crossed 0, participants with Down syndrome (A, B, and C) and those with autosomal-dominant Alzheimer’s disease (D, E, and F) had greater pathological burden of amyloid or tau compared with familial controls. Cortical amyloid was significantly higher for people with Down syndrome compared with familial controls at EYOs −12 (A, B, C), and at EYOs −17 for people with autosomal-dominant Alzheimer’s disease compared with familial controls (D, E, F). For all regions considered, people with Down syndrome accumulated amyloid and tau PET more closely together temporally compared with people with autosomal dominant Alzheimer’s disease. EYO=estimated years until symptom onset. SUVR=standardised uptake value ratio.

Similar articles

Cited by

References

    1. Snyder HM, Bain LJ, Brickman AM, et al. Further understanding the connection between Alzheimer’s disease and Down syndrome. Alzheimers Dement 2020; 16: 1065–77. - PMC - PubMed
    1. Boerwinkle AH, Gordon BA, Wisch J, et al. Comparison of amyloid burden in individuals with Down syndrome versus autosomal dominant Alzheimer’s disease: a cross-sectional study. Lancet Neurol 2023; 22: 55–65. - PMC - PubMed
    1. Ryman DC, Acosta-Baena N, Aisen PS, et al. Symptom onset in autosomal dominant Alzheimer disease: a systematic review and meta-analysis. Neurology 2014; 83: 253–60. - PMC - PubMed
    1. Rafii MS, Ances BM, Schupf N, et al. The AT(N) framework for Alzheimer’s disease in adults with Down syndrome. Alzheimers Dement 2020; 12: e12062. - PMC - PubMed
    1. Jack CR, Bennett DA, Blennow K, et al. A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology 2016; 87: 539–47. - PMC - PubMed

Publication types