Evidence map›Paper›PMID 40653490›Full record

ArticleJournal of neuroinflammation2025

Molecular pathology of acute spinal cord injury in middle-aged mice.

Corey Fehlberg, Danny John, Brian Kang, James S Choi, Susana Cerqueira, Alexis Brake, Jae K Lee

Abstract read
In one paragraph

Article in Journal of neuroinflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Beyond Scar Removal: Reprogramming the Glial Scar for Neural Repair.International journal of molecular sciences · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Corey Fehlberg *Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, 1095 NW 14th Terrace, LPLC 4-19, Miami, FL, 33136, United States of America.
Danny John *Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, 1095 NW 14th Terrace, LPLC 4-19, Miami, FL, 33136, United States of America.
Brian KangMiami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, 1095 NW 14th Terrace, LPLC 4-19, Miami, FL, 33136, United States of America.
James S ChoiMiami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, 1095 NW 14th Terrace, LPLC 4-19, Miami, FL, 33136, United States of America.
Susana CerqueiraMiami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, 1095 NW 14th Terrace, LPLC 4-19, Miami, FL, 33136, United States of America.
Alexis BrakeMiami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, 1095 NW 14th Terrace, LPLC 4-19, Miami, FL, 33136, United States of America.
Jae K LeeMiami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, 1095 NW 14th Terrace, LPLC 4-19, Miami, FL, 33136, United States of America. Jlee22@med.miami.edu.

Funding

Targeting Lipid Clearance Pathways to Promote Repair After SCIR01NS081040 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Jae K Lee · 2012 to 2026
$5.3M
Targeting Cell-Type Specific Disease Phenotypes to Promote CNS RepairRM1NS133003 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI NAGI G AYAD, Jae K Lee · 2023 to 2026
$4.8M
Medical Scientist Training ProgramT32GM145462 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALESSIA FORNONI, Daniel Jon Liebl · 2022 to 2026
$3.9M
Olympus VS120 Fluorescence and Brightfield Slide Scanner for High-Throughput Image Acquisition at the University of MiamiS10OD023579 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MENDEZ, ARMANDO J · 2017 to 2017
$223k
Else Kröner-Fresenius-Stiftung 2019-A54NIGMS NIH HHS T32 GM145462NIH HHS S10 OD023579NINDS NIH HHS R01 NS081040NINDS NIH HHS RM1 NS133003NINDS NIH HHS RM1NS133003
6 · The paper itself

Abstract

The median age at which spinal cord injuries occur has steadily increased from 29 to 43 over the last several decades. Although more pre-clinical studies in aged rodents are being done to address this shift in demographics, comprehensive transcriptomic studies investigating SCI pathobiology in middle-aged mice are lacking. To address this gap in knowledge, we compared behavioral, histopathological, and transcriptional outcomes in young (2-4 months old) and middle-aged (10-12 months old) mice. In contrast to most previous studies, open field tests showed no differences in locomotor recovery between the young and middle-aged mice over a one-month period. The injury site also demonstrated similar histopathology in terms of lesion size, and numbers of macrophages and fibroblasts. Acutely after injury, proliferation of macrophages, fibroblasts, and astrocytes were also similar between the two age groups. In addition, spatial transcriptomics showed similar, transcriptionally defined regions around the injury site at 3 days post-injury. However, single cell RNA-sequencing of the cells at the injury site and surrounding spared tissue showed differences in select cell subpopulations. Taken together, our results indicate that although young and middle-aged mice display similar locomotor recovery and histopathology after SCI, changes in cell subpopulations may underlie a decline in repair mechanisms that manifest after middle age.

Indexed as

AgingSpinal Cord InjuriesAge FactorsAnimalsFemaleLocomotionMaleMiceMice, Inbred C57BLRecovery of FunctionSpinal CordAge as a biological variableAgingImmune responseInflammationMiddle-ageSingle-cell RNA sequencingSpatial transcriptomicsSpinal cord injury

Identifiers

PMID40653490
PMCPMC12257783

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.