Evidence map›Paper›PMID 38834068›Full record

ReviewNeuron2024

Cryo-EM structures of pathogenic fibrils and their impact on neurodegenerative disease research.

Tiffany W Todd, Naeyma N Islam, Casey N Cook, Thomas R Caulfield, Leonard Petrucelli

Abstract readReview
In one paragraph

Review in Neuron, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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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

5 authors.

Tiffany W ToddDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Naeyma N IslamDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Casey N CookDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA; Neurobiology of Disease Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
Thomas R CaulfieldDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Leonard PetrucelliDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA; Neurobiology of Disease Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Rochester, MN 55905, USA. Electronic address: petrucelli.leonard@mayo.edu.

Funding

Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Margaret Sewell · 2020 to 2026
$31.0M
Project 3: Neuropathology of the multi-proteinopathy of c9FTD/ALS.P01NS084974 · NINDS · MAYO CLINIC JACKSONVILLE · PI PETRUCELLI, LEONARD · 2014 to 2024
$17.6M
Expanding insights into FTD disease mechanismsR35NS097273 · NINDS · MAYO CLINIC JACKSONVILLE · PI PETRUCELLI, LEONARD · 2017 to 2024
$10.6M
Human Biomarkers CoreU54NS123743 · NINDS · STANFORD UNIVERSITY · PI FRATTA, PIETRO, GITLER, AARON D. · 2021 to 2025
$8.2M
Patient-Based Structural Biology of Tauopathies and TDP-43 Proteinopathies using Cryo-Electron Microscopy and Mass SpectrometryU01NS110438 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FITZPATRICK, ANTHONY WILLIAM PAUL, PETRUCELLI, LEONARD · 2018 to 2022
$7.8M
Investigating the role of TMEM106b genetics and pathology in Alzheimer’s disease, LATE and FTLDR01NS132330 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Keith A Josephs, LEONARD PETRUCELLI · 2023 to 2026
$4.3M
Novel genetic modifiers of C9orf72 and Tau toxicityRF1AG062077 · NIA · MAYO CLINIC ARIZONA · PI FRYER, JOHN DAVID, PETRUCELLI, LEONARD · 2019 to 2019
$4.0M
Mechanistic insights into the link between the A152T risk variant and tauopathyR01AG063780 · NIA · MAYO CLINIC JACKSONVILLE · PI COOK, CASEY N · 2020 to 2024
$2.5M
Impact of T cells on the CNS during aging and Alzheimer’s diseaseR01AG065219 · NIA · MAYO CLINIC JACKSONVILLE · PI COOK, CASEY N · 2020 to 2024
$2.4M
Investigating tau and ApoE4-mediated alterations in oligodendrocyte progenitor cellsR01AG071513 · NIA · UNIVERSITY OF SOUTH FLORIDA · PI Casey N Cook · 2022 to 2026
$2.3M
NIA NIH HHS P30 AG066514NIA NIH HHS R01 AG063780NIA NIH HHS R01 AG065219NIA NIH HHS R01 AG071513NIA NIH HHS RF1 AG062077NINDS NIH HHS P01 NS084974NINDS NIH HHS R01 NS132330NINDS NIH HHS R35 NS097273NINDS NIH HHS U01 NS110438NINDS NIH HHS U54 NS123743
6 · The paper itself

Abstract

Neurodegenerative diseases are commonly associated with the formation of aberrant protein aggregates within the brain, and ultrastructural analyses have revealed that the proteins within these inclusions often assemble into amyloid filaments. Cryoelectron microscopy (cryo-EM) has emerged as an effective method for determining the near-atomic structure of these disease-associated filamentous proteins, and the resulting structures have revolutionized the way we think about aberrant protein aggregation and propagation during disease progression. These structures have also revealed that individual fibril conformations may dictate different disease conditions, and this newfound knowledge has improved disease modeling in the lab and advanced the ongoing pursuit of clinical tools capable of distinguishing and targeting different pathogenic entities within living patients. In this review, we summarize some of the recently developed cryo-EM structures of ex vivo α-synuclein, tau, β-amyloid (Aβ), TAR DNA-binding protein 43 (TDP-43), and transmembrane protein 106B (TMEM106B) fibrils and discuss how these structures are being leveraged toward mechanistic research and therapeutic development.

Indexed as

Cryoelectron MicroscopyNeurodegenerative Diseasesalpha-SynucleinAmyloidAmyloid beta-PeptidesAnimalsDNA-Binding ProteinsHumansMembrane Proteinstau Proteinsalpha-SynucleinAmyloidAmyloid beta-PeptidesDNA-Binding ProteinsMembrane Proteinstau ProteinsamyloidAβcryo-EMtauTDP-43TMEM106Bα-synuclein

Identifiers

PMID38834068
PMCPMC11257806

What OpenQuestion holds

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Registered trials

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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.