Evidence map›Paper›PMID 37215630›Full record

ArticlePNAS nexus2023

White-matter abnormalities and cognitive dysfunction are linked to astrocyte activation in sickle mice.

Rimi Hazra, Hongjian Pu, Lesley M Foley, Lynda Little-Ihrig, T Kevin Hitchens, Samit Ghosh, Solomon F Ofori-Acquah, Xiaoming Hu, Enrico M Novelli

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Rimi HazraDepartment of Medicine, Pittsburgh Heart Lung and Blood Vascular Medicine Institute, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA 15261, USA.ORCID https://orcid.org/0000-0003-2390-0071
Hongjian PuDepartment of Neurology, University of Pittsburgh, 3471 Fifth Avenue, Pittsburgh, PA 15213, USA.ORCID https://orcid.org/0000-0001-5435-7070
Lesley M FoleyAnimal Imaging Center, McGowan Institute of Regenerative Medicine, University of Pittsburgh, 450 Technology Drive, Pittsburgh, PA 15219, USA.ORCID https://orcid.org/0000-0001-7752-2139
Lynda Little-IhrigDepartment of Medicine, Pittsburgh Heart Lung and Blood Vascular Medicine Institute, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA 15261, USA.
T Kevin HitchensAnimal Imaging Center, McGowan Institute of Regenerative Medicine, University of Pittsburgh, 450 Technology Drive, Pittsburgh, PA 15219, USA.
Samit GhoshDepartment of Medicine, Pittsburgh Heart Lung and Blood Vascular Medicine Institute, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA 15261, USA.
Solomon F Ofori-AcquahDepartment of Medicine, Pittsburgh Heart Lung and Blood Vascular Medicine Institute, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA 15261, USA.
Xiaoming HuDepartment of Neurology, University of Pittsburgh, 3471 Fifth Avenue, Pittsburgh, PA 15213, USA.ORCID https://orcid.org/0000-0002-5857-6243
Enrico M NovelliDepartment of Medicine, Pittsburgh Heart Lung and Blood Vascular Medicine Institute, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA 15261, USA.
University of Pittsburgh · US

Funding

Neurovascular Determinants of Cognitive Function in Adults with Sickle Cell DiseaseR01HL127107 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NOVELLI, ENRICO M · 2016 to 2020
$3.6M
Renal endothelium and the development of chronic kidney disease in sickle cell disordersR01DK132145 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Samit Ghosh · 2023 to 2026
$2.5M
Molecular and Cellular Pathogenesis of Kidney Disease in Sickle Cell DisordersR01DK124426 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHOSH, SAMIT · 2021 to 2024
$1.4M
Interleukin-33 as an immune therapy for strokeI01BX003651 · VA · VETERANS HEALTH ADMINISTRATION · PI HU, XIAOMING · 2019 to 2023
–
BLRD VA I01 BX003651NHLBI NIH HHS R01 HL127107NIDDK NIH HHS R01 DK124426NIDDK NIH HHS R01 DK132145
6 · The paper itself

Abstract

White-matter injury in sickle-cell disease (SCD) includes silent cerebral infarction diagnosed by diffusion tensor imaging (DTI), a complication associated with cognitive dysfunction in children with SCD. The link between white-matter injury and cognitive dysfunction has not been fully elucidated. The goal of this study was to define whether cerebrovascular lesions and cognitive function in SCD are linked to neuroaxonal damage and astrocyte activation in humanized Townes' SCD mice homozygous for human sickle hemoglobin S (SS) and control mice homozygous for human normal hemoglobin A (AA). Mice underwent MRI with DTI and cognitive testing, and histology sections from their brains were stained to assess microstructural tissue damage, neuroaxonal damage, and astrocyte activation. Fractional anisotropy, showing microstructural cerebrovascular abnormalities identified by DTI in the white matter, was significantly associated with neuronal demyelination in the SS mouse brain. SS mice had reduced learning and memory function with a significantly lower discrimination index compared with AA control mice in the novel object recognition tests. Neuroaxonal damage in the SS mice was synchronously correlated with impaired neurocognitive function and activation of astrocytes. The interplay between astrocyte function and neurons may modulate cognitive performance in SCD.

Indexed as

astrocytescognitive dysfunctionsickle-cell diseasewhite-matter injury

Identifiers

PMID37215630
PMCPMC10194090
OpenAlexW4367852837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.