Evidence map›Paper›PMID 39280794›Full record

ReviewFrontiers in cellular neuroscience2024

A comprehensive review of electrophysiological techniques in amyotrophic lateral sclerosis research.

Keyuan Ren, Qinglong Wang, Douglas Jiang, Ethan Liu, Julie Alsmaan, Rui Jiang, Seward B Rutkove, Feng Tian

Abstract readReview
In one paragraph

Review in Frontiers in cellular neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

8 authors.

Keyuan Ren *Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Qinglong Wang *Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Douglas JiangDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Ethan LiuDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Julie AlsmaanDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Rui JiangDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Seward B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Feng TianDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.

Funding

Electrical Impedance Myography in an Animal ModelR01NS055099 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI RUTKOVE, SEWARD B. · 2007 to 2022
$5.1M
NINDS NIH HHS R01 NS055099
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS), a devastating neurodegenerative disease, is characterized by progressive motor neuron degeneration, leading to widespread weakness and respiratory failure. While a variety of mechanisms have been proposed as causes of this disease, a full understanding remains elusive. Electrophysiological alterations, including increased motor axon excitability, likely play an important role in disease progression. There remains a critical need for non-animal disease models that can integrate electrophysiological tools to better understand underlying mechanisms, track disease progression, and evaluate potential therapeutic interventions. This review explores the integration of electrophysiological technologies with ALS disease models. It covers cellular and clinical electrophysiological tools and their applications in ALS research. Additionally, we examine conventional animal models and highlight advancements in humanized models and 3D organoid technologies. By bridging the gap between these models, we aim to enhance our understanding of ALS pathogenesis and facilitate the development of new therapeutic strategies.

Indexed as

amyotrophic lateral sclerosisdisease modelingelectrical impedance myographyelectrophysiologyexcitabilityexcitotoxicityorganoid

Identifiers

PMID39280794
PMCPMC11393746

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.