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
Meta-Analysis
. 2016 Dec;15(13):1317-1325.
doi: 10.1016/S1474-4422(16)30229-0. Epub 2016 Oct 21.

Neurological manifestations of autosomal dominant familial Alzheimer's disease: a comparison of the published literature with the Dominantly Inherited Alzheimer Network observational study (DIAN-OBS)

Affiliations
Meta-Analysis

Neurological manifestations of autosomal dominant familial Alzheimer's disease: a comparison of the published literature with the Dominantly Inherited Alzheimer Network observational study (DIAN-OBS)

Mengxuan Tang et al. Lancet Neurol. 2016 Dec.

Erratum in

  • Corrections.
    [No authors listed] [No authors listed] Lancet Neurol. 2017 Jan;16(1):24. doi: 10.1016/S1474-4422(16)30327-1. Epub 2016 Nov 16. Lancet Neurol. 2017. PMID: 27864006 No abstract available.

Abstract

Background: Autosomal dominant familial Alzheimer's disease (ADAD) is a rare disorder with non-amnestic neurological symptoms in some clinical presentations. We aimed to compile and compare data from symptomatic participants in the Dominantly Inherited Alzheimer Network observational study (DIAN-OBS) with those reported in the literature to estimate the prevalences of non-amnestic neurological symptoms in participants with ADAD.

Methods: We prospectively collected data from the DIAN-OBS database, which recruited participants from study centres in the USA, Europe, and Australia, between Feb 29, 2008, and July 1, 2014. We also did a systematic review of publications to extract individual-level clinical data for symptomatic participants with ADAD. We used data for age of onset (from first report of cognitive decline), disease course from onset to death, and the presence of 13 neurological findings that have been reported in association with ADAD. Using multivariable linear regression, we investigated the prevalences of various non-amnestic neurological symptoms and the contributions of age of onset and specific mutation type on symptoms.

Findings: The DIAN-OBS dataset included 107 individuals with detailed clinical data (forming the DIAN-OBS cohort). Our systematic review yielded 188 publications reporting on 1228 symptomatic individuals, with detailed neurological examination descriptions available for 753 individuals (forming the published data cohort). The most prevalent non-amnestic cognitive manifestations in participants in the DIAN-OBS cohort were those typical of mild to moderate Alzheimer's disease, including visual agnosia (55·1%, 95% CI 45·7-64·6), aphasia (57·9%, 48·6-67·3), and behavioural changes (61·7%, 51·5-70·0). Non-amnestic cognitive manifestations were less prevalent in the published data cohort (eg, visual agnosia [5·6%, 3·9-7·2], aphasia [23·0%, 20·0-26·0], and behavioural changes [31·7%, 28·4-35·1]). Prevalence of non-cognitive neurological manifestations in the DIAN-OBS cohort was low, including myoclonus and spasticity (9·3%, 95% CI 3·8-15·0), and seizures (2·8%, 0·5-5·9) and moderate for parkinsonism (11·2%, 5·3-17·1). By constrast, prevalence was higher in the published data cohort for myoclonus and spasticity (19·4%, 16·6-22·2 and 15·0%, 12·5-17·6, respectively), parkinsonism (12·5%, 10·1-15·0), and seizures (20·3%, 17·4-23·2). In an analysis of the published data cohort, ischaemic stroke was more prevalent at older ages of onset of symptoms of ADAD (odds ratio 1·09 per 1 year increase in age of onset, 95% CI 1·04-1·14, p=0·0003); and motor symptoms were more common at younger age of onset (myoclonus 0·93, 0·90-0·97, p=0·0007; seizures 0·95, 0·92-0·98, p=0·0018; corticobulbar deficits 0·91, 0·86-0·96, p=0·0012; and cerebellar ataxia 0·82, 0·74-0·91, p=0·0002). In the DIAN-OBS cohort, non-cognitive symptoms were more common at more severe stages of disease.

Interpretation: The non-cognitive clinical manifestations of Alzheimer's disease seem to affect a small proportion of participants with mild to moderate ADAD, and are probably influenced by disease severity, environmental, and genetic factors. When evaluating patients with potential ADAD, clinicians should note that cognitive symptoms typical of sporadic Alzheimer's disease are the most consistent finding, with some patients manifesting non-cognitive neurological symptoms. Future work is needed to determine the environmental and genetic factors that cause these neurological symptoms.

Funding: National Institutes of Health and German Center for Neurodegenerative Diseases.

PubMed Disclaimer

Figures

Figure 1
Figure 1. Combined symptom prevalence in reported and prospectively observed ADAD
Included are all individuals with detailed clinical descriptions from the DIAN prospective observational study and the ADAD literature (N = 107 and 753, respectively). Error bars are 95% confidence intervals.
Figure 2
Figure 2. Comparison of reported symptom prevalence in APP, PSEN1, and PSEN2 mutation carriers
(Literature - N = 171 for APP, 547 for PSEN1, 35 for PSEN2; DIAN-OBS - N = 19 (APP), 86 (PSEN1), 2 (PSEN2)). Rates for PSEN2 carriers in DIAN-OBS were not calculated as there were only two symptomatic individuals in that group. Although significant variability in symptom prevalence is observed between mutations in the three genes in the reported literature, there were few differences between APP and PSEN1 in the DIAN-OBS cohort. Error bars shown are 95% confidence intervals.
Figure 2
Figure 2. Comparison of reported symptom prevalence in APP, PSEN1, and PSEN2 mutation carriers
(Literature - N = 171 for APP, 547 for PSEN1, 35 for PSEN2; DIAN-OBS - N = 19 (APP), 86 (PSEN1), 2 (PSEN2)). Rates for PSEN2 carriers in DIAN-OBS were not calculated as there were only two symptomatic individuals in that group. Although significant variability in symptom prevalence is observed between mutations in the three genes in the reported literature, there were few differences between APP and PSEN1 in the DIAN-OBS cohort. Error bars shown are 95% confidence intervals.
Figure 3
Figure 3
a. Comparison of reported prevalence of cognitive and non-cognitive neurological symptoms in ADAD by age of disease onset. Individuals were considered symptomatic if they developed the symptom at any point in their disease course. Solid lines represent symptoms for which a one-year increase in age of onset is associated with a statistically significant change in risk. b. Symptom prevalence by CDR Sum of Box score, in DIAN-OBS. All cognitive symptoms and most non-cognitive symptoms (except corticobulbar deficits) increase in prevalence as the clinical stage worsens. Total CDR-SB = CDR sum of boxes + supplemental sum of boxes, possible scores 0-24. As all individuals included in the DIAN-OBS analysis are symptomatic, the lowest total CDR-SB in this group is 0.5.
Figure 4
Figure 4. Comparison of symptom prevalence for PSEN1 mutations before and after codon 200 in literature and DIAN-OBS cohort
(Literature - N = 215, 332; DIAN-OBS - N = 24, 62).
Figure 4
Figure 4. Comparison of symptom prevalence for PSEN1 mutations before and after codon 200 in literature and DIAN-OBS cohort
(Literature - N = 215, 332; DIAN-OBS - N = 24, 62).
Figure 5
Figure 5. Distribution of known pathogenic PSEN1 mutations in literature and the rates at which carriers demonstrated spasticity in their disease course
Figure 5
Figure 5. Distribution of known pathogenic PSEN1 mutations in literature and the rates at which carriers demonstrated spasticity in their disease course

Comment in

References

    1. Bateman RJ, Aisen PS, De Strooper B, et al. Autosomal-dominant Alzheimer’s disease: a review and proposal for the prevention of Alzheimer’s disease. Alzheimer Res Ther. 2011;3:1. - PMC - PubMed
    1. Storandt M, Balota DA, Aschenbrenner AJ, Morris JC. Clinical and psychological characteristics of the initial cohort of the Dominantly Inherited Alzheimer Network (DIAN) Neuropsychol. 2014;28:19–29. - PMC - PubMed
    1. Larner AJ, Doran M. Clinical phenotypic heterogeneity of Alzheimer’s disease associated with mutations of the presenilin-1 gene. J Neurol. 2006;253:139–58. - PubMed
    1. Larner AJ, Doran M. Genotype-phenotype relationships of presenilin-1 mutations in Alzheimer’s disease: an update. J Alzheimers Dis. 2009;17:259–65. - PubMed
    1. Ryan NS, Rossor MN. Correlating familial Alzheimer’s disease gene mutations with clinical phenotype. Biomark Med. 2010;4:99–112. - PMC - PubMed

MeSH terms