Evidence map›Paper›PMID 33693619›Full record

ArticleBrain : a journal of neurology2021

Comorbid neuropathological diagnoses in early versus late-onset Alzheimer's disease.

Salvatore Spina, Renaud La Joie, Cathrine Petersen, Amber L Nolan, Deion Cuevas, Celica Cosme, Mackenzie Hepker, Ji-Hye Hwang, Zachary A Miller, Eric J Huang and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
186citing papers in PubMed, 5 pooled it
20.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

186 citing papers in PubMed, 5 syntheses or guidelines pooled it, 253 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  5. Pooled it
  6. Trial
  7. Review
  8. Plasma eMTBR-tau243 as a disease biomarker across Alzheimer's disease clinical phenotypes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  9. Network-dependent remote effects and local tau burden jointly shape neuronal dysfunction in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. TMEM106B is a selective modulator of TDP-43 pathology in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Observational

126 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 1 institution in 1 country.

Salvatore SpinaDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-3570-9143
Renaud La JoieDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-2581-8100
Cathrine PetersenDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Amber L NolanDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Deion CuevasDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Celica CosmeDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Mackenzie HepkerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Ji-Hye HwangDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Zachary A MillerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-5991-3053
Eric J HuangDepartment of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-5381-3801
Anna M KarydasDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Harli GrantDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Adam L BoxerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Maria Luisa Gorno-TempiniDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Howard J RosenDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Joel H KramerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Bruce L MillerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
William W SeeleyDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Gil D RabinoviciDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Lea T GrinbergDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-6809-0618
University of California, San Francisco · US

Funding

Early Onset AD Consortium - the LEAD Study (LEADS)U01AG057195 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI APOSTOLOVA, LIANA G, CARRILLO, MARIA C · 2018 to 2023
$70.3M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Serggio Carlo Lanata · 2019 to 2026
$36.9M
Project 3: Autophagy dysfunction and neuronal activity in FTDU54NS100717 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CUERVO, ANA MARIA · 2016 to 2020
$10.8M
Early Age-of-Onset AD: Clinical Heterogeneity and Network DegenerationR01AG045611 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RABINOVICI, GIL DAN · 2014 to 2018
$3.1M
Multimodal Imaging in Frontotemporal DegenerationK24AG045333 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2013 to 2023
$1.9M
Neuropathological changes underlying clinical heterogeneity in Alzheimer diseaseK24AG053435 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRINBERG, LEA TENENHOLZ · 2016 to 2025
$1.8M
Cortical Somatostatin Interneuron Dysfunction after Trauma: Role in Cognitive FlexibilityK08NS114170 · NINDS · UNIVERSITY OF WASHINGTON · PI NOLAN, AMBER L · 2019 to 2023
$1.0M
Neuropathological basis of brain network dysfunctionK08AG052648 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SPINA, SALVATORE · 2016 to 2020
$852k
Connectome-based spread of neurodegenerative processes in Alzheimer's diseaseK99AG065501 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LA JOIE, RENAUD CHARLES · 2020 to 2021
$253k
Alzheimer's Disease Research Center P01-AG019724National Institute for Health P30-AG062422NIA NIH HHS K08 AG052648NIA NIH HHS K24 AG045333NIA NIH HHS K24 AG053435NIA NIH HHS K99 AG065501NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG045611NIA NIH HHS U01 AG057195NINDS NIH HHS K08 NS114170NINDS NIH HHS U54 NS100717
6 · The paper itself

Abstract

Co-pathologies play an important role in the expression of the Alzheimer's disease clinical phenotype and may influence treatment efficacy. Early-onset Alzheimer's disease, defined as manifesting before age 65, is viewed as a relatively pure form of Alzheimer's disease with a more homogeneous neuropathological substrate. We sought to compare the frequency of common neuropathological diagnoses in a consecutive autopsy series of 96 patients with early-onset Alzheimer's disease (median age of onset = 55 years, 44 females) and 48 with late-onset Alzheimer's disease (median age of onset = 73 years, 14 females). The UCSF Neurodegenerative Disease Brain Bank database was reviewed to identify patients with a primary pathological diagnosis of Alzheimer's disease. Prevalence and stage of Lewy body disease, limbic age-related TDP-43 encephalopathy (LATE), argyrophilic grain disease, hippocampal sclerosis, cerebral amyloid angiopathy, and vascular brain injury were compared between the two cohorts. We found at least one non-Alzheimer's disease pathological diagnosis in 98% of patients with early-onset Alzheimer's disease (versus 100% of late onset), and the number of comorbid diagnoses per patient was lower in early-onset than in late-onset Alzheimer's disease (median = 2 versus 3, Mann-Whitney Z = 3.00, P = 0.002). Lewy body disease and cerebral amyloid angiopathy were common in both early and late onset Alzheimer's disease (cerebral amyloid angiopathy: 86% versus 79%, Fisher exact P = 0.33; Lewy body disease: 49% versus 42%, P = 0.48, respectively), although amygdala-predominant Lewy body disease was more common in early than late onset Alzheimer's disease (22% versus 6%, P = 0.02). In contrast, LATE (35% versus 8%, P < 0.001), hippocampal sclerosis (15% versus 3%, P = 0.02), argyrophilic grain disease (58% versus 41%, P = 0.052), and vascular brain injury (65% versus 39%, P = 0.004) were more common in late than in early onset Alzheimer's disease, respectively. The number of co-pathologies predicted worse cognitive performance at the time of death on Mini-Mental State Examination [1.4 points/pathology (95% confidence interval, CI -2.5 to -0.2) and Clinical Dementia Rating-Sum of Boxes (1.15 point/pathology, 95% CI 0.45 to 1.84)], across early and late onset cohorts. The effect of sex on the number of co-pathologies was not significant (P = 0.17). Prevalence of at least one APOE ε4 allele was similar across the two cohorts (52% and 54%) and was associated with a greater number of co-pathologies (+0.40, 95% CI 0.01 to 0.79, P = 0.047), independent of age of symptom onset, sex, and disease duration. Females showed higher density of neurofibrillary tangles compared to males, controlling for age of onset, APOE ε4, and disease duration. Our findings suggest that non-Alzheimer's disease pathological diagnoses play an important role in the clinical phenotype of early onset Alzheimer's disease with potentially significant implications for clinical practice and clinical trials design.

Indexed as

AgedAge of OnsetAlzheimer DiseaseBrain DiseasesComorbidityFemaleHumansMaleMiddle AgedAlzheimer's diseaseApo Ecopathologiesearly-onsetlate-onset

Identifiers

PMID33693619
PMCPMC8502474
OpenAlexW3135857182

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.