Evidence map›Paper›PMID 34456686›Full record

ReviewFrontiers in cellular neuroscience2021

Astrocyte Heterogeneity in Multiple Sclerosis: Current Understanding and Technical Challenges.

Chih Hung Lo, Mario Skarica, Mohammad Mansoor, Shaan Bhandarkar, Steven Toro, David Pitt

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
  6. Review
  7. An Overview of Multiple Sclerosis In Vitro Models.International journal of molecular sciences · 2024
    Review
  8. Article
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  15. Article
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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

6 authors at 1 institution in 1 country.

Chih Hung LoDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.
Mario SkaricaDepartment of Neuroscience, Yale School of Medicine, New Haven, CT, United States.
Mohammad MansoorDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.
Shaan BhandarkarDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.
Steven ToroDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.
David PittDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Generating spatial and functional maps of cell-to-cell interactions in MS lesionsR01NS118886 · NINDS · YALE UNIVERSITY · PI PITT, DAVID · 2021 to 2025
$2.6M
Defining the contribution of astrocytes to genetic MS susceptibilityR01NS112907 · NINDS · YALE UNIVERSITY · PI PITT, DAVID · 2019 to 2023
$2.2M
Detection, characterization and treatment of chronic microglial inflammation in established MS lesionsR01NS102267 · NINDS · YALE UNIVERSITY · PI PITT, DAVID · 2017 to 2021
$2.0M
Identification of complex cellular phenotypes and their interactions in MS lesionsR21AI149731 · NIAID · YALE UNIVERSITY · PI PITT, DAVID · 2020 to 2021
$461k
NCATS NIH HHS UL1 TR001863NIAID NIH HHS R21 AI149731NINDS NIH HHS R01 NS102267NINDS NIH HHS R01 NS112907NINDS NIH HHS R01 NS118886
6 · The paper itself

Abstract

The emergence of single cell technologies provides the opportunity to characterize complex immune/central nervous system cell assemblies in multiple sclerosis (MS) and to study their cell population structures, network activation and dynamics at unprecedented depths. In this review, we summarize the current knowledge of astrocyte subpopulations in MS tissue and discuss the challenges associated with resolving astrocyte heterogeneity with single-nucleus RNA-sequencing (snRNA-seq). We further discuss multiplexed imaging techniques as tools for defining population clusters within a spatial context. Finally, we will provide an outlook on how these technologies may aid in answering unresolved questions in MS, such as the glial phenotypes that drive MS progression and/or neuropathological differences between different clinical MS subtypes.

Indexed as

astrocytesexperimental autoimmune encephalomyelitismultiple sclerosismultiplexed imagingsingle nucleus sequencing

Identifiers

PMID34456686
PMCPMC8385194
OpenAlexW3197648096

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.