Evidence map›Paper›PMID 33432193›Full record

ArticleNature neuroscience2021

Molecular characterization of selectively vulnerable neurons in Alzheimer's disease.

Kun Leng, Emmy Li, Rana Eser, Antonia Piergies, Rene Sit, Michelle Tan, Norma Neff, Song Hua Li, Roberta Diehl Rodriguez, Claudia Kimie Suemoto and 8 more

Open access · greenAbstract read
In one paragraph

Article in Nature neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 340 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
340citing papers in PubMed, 2 pooled it
46.5field-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

340 citing papers in PubMed, 2 syntheses or guidelines pooled it, 456 citations in OpenAlex.

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  18. International journal of molecular sciences · 2026
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280 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 3 countries.

Kun Leng *Institute for Neurodegenerative Disease, University of California, San Francisco, San Francisco, CA, USA.
Emmy Li *Institute for Neurodegenerative Disease, University of California, San Francisco, San Francisco, CA, USA.
Rana EserMemory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-4078-1502
Antonia PiergiesMemory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Rene SitChan Zuckerberg Biohub, San Francisco, CA, USA.
Michelle TanChan Zuckerberg Biohub, San Francisco, CA, USA.
Norma NeffChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-7141-5420
Song Hua LiMemory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Roberta Diehl RodriguezDepartment of Neurology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil.
Claudia Kimie SuemotoDepartment of Pathology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil.
Renata Elaine Paraizo LeiteDepartment of Pathology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil.
Alexander J EhrenbergMemory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-4334-9424
Carlos A PasqualucciDepartment of Pathology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil.
William W SeeleyMemory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Salvatore SpinaMemory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Helmut HeinsenDepartment of Pathology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil.
Lea T GrinbergMemory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA. lea.grinberg@ucsf.edu.ORCID http://orcid.org/0000-0002-6809-0618
Martin KampmannInstitute for Neurodegenerative Disease, University of California, San Francisco, San Francisco, CA, USA. martin.kampmann@ucsf.edu.ORCID http://orcid.org/0000-0002-3819-7019
University of California, San Francisco · USUniversidade de São Paulo · BRChan Zuckerberg Initiative (United States) · US

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
PrPSc SPECIFIC INTERACTION WITH NOVEL PrP-Fc FUSION PROTEINSP50AG023501 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, YADONG · 2004 to 2018
$27.1M
Project 3: Autophagy dysfunction and neuronal activity in FTDU54NS100717 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GAN, LI · 2016 to 2020
$10.8M
Neuropathological changes underlying clinical heterogeneity in Alzheimer diseaseK24AG053435 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRINBERG, LEA TENENHOLZ · 2016 to 2025
$1.8M
Neuropathological basis of brain network dysfunctionK08AG052648 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SPINA, SALVATORE · 2016 to 2020
$852k
Uncovering mechanisms of selective vulnerability by CRISPR-based genetic screensR56AG057528 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRINBERG, LEA TENENHOLZ, KAMPMANN, MARTIN · 2018 to 2018
$769k
Elucidating cellular pathways controlling the reactive state of astrocytes in Alzheimer’s DiseaseF30AG066418 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LENG, KUN · 2019 to 2023
$155k
NIA NIH HHS F30 AG066418NIA NIH HHS K08 AG052648NIA NIH HHS K24 AG053435NIA NIH HHS P01 AG019724NIA NIH HHS P50 AG023501NIA NIH HHS R56 AG057528NIGMS NIH HHS T32 GM007618NINDS NIH HHS U54 NS100717
6 · The paper itself

Abstract

Alzheimer's disease (AD) is characterized by the selective vulnerability of specific neuronal populations, the molecular signatures of which are largely unknown. To identify and characterize selectively vulnerable neuronal populations, we used single-nucleus RNA sequencing to profile the caudal entorhinal cortex and the superior frontal gyrus-brain regions where neurofibrillary inclusions and neuronal loss occur early and late in AD, respectively-from postmortem brains spanning the progression of AD-type tau neurofibrillary pathology. We identified RORB as a marker of selectively vulnerable excitatory neurons in the entorhinal cortex and subsequently validated their depletion and selective susceptibility to neurofibrillary inclusions during disease progression using quantitative neuropathological methods. We also discovered an astrocyte subpopulation, likely representing reactive astrocytes, characterized by decreased expression of genes involved in homeostatic functions. Our characterization of selectively vulnerable neurons in AD paves the way for future mechanistic studies of selective vulnerability and potential therapeutic strategies for enhancing neuronal resilience.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAstrocytesEntorhinal CortexFemaleFrontal LobeHumansMaleMiddle AgedNeurofibrillary TanglesNeuronstau Proteinstau Proteins

Identifiers

PMID33432193
PMCPMC7854528
OpenAlexW3118272853

What OpenQuestion holds

Textmetadata
LicenceTDM
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.