Evidence map›Paper›PMID 38365132›Full record

ArticleExperimental neurology2024

Effects of dim light at night in C57BL/6 J mice on recovery after spinal cord injury.

John C Aldrich, Ashley R Scheinfeld, Sydney E Lee, Kalina J Dusenbery, Kathryn M Mahach, Brigid C Van de Veire, Laura K Fonken, Andrew D Gaudet

Open access · greenAbstract read
In one paragraph

Article in Experimental neurology, 2024. 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
0.8field-weighted citation impact, top 33% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

John C AldrichDepartment of Psychology, College of Liberal Arts, The University of Texas at Austin, USA; Department of Neurology, Dell Medical School, The University of Texas at Austin.
Ashley R ScheinfeldDepartment of Psychology, College of Liberal Arts, The University of Texas at Austin, USA; Department of Neurology, Dell Medical School, The University of Texas at Austin.
Sydney E LeeDepartment of Psychology, College of Liberal Arts, The University of Texas at Austin, USA; Department of Neurology, Dell Medical School, The University of Texas at Austin.
Kalina J DusenberyDepartment of Psychology, College of Liberal Arts, The University of Texas at Austin, USA; Department of Neurology, Dell Medical School, The University of Texas at Austin.
Kathryn M MahachDepartment of Psychology, College of Liberal Arts, The University of Texas at Austin, USA; Department of Neurology, Dell Medical School, The University of Texas at Austin.
Brigid C Van de VeireDepartment of Psychology, College of Liberal Arts, The University of Texas at Austin, USA; Department of Neurology, Dell Medical School, The University of Texas at Austin.
Laura K FonkenDivision of Pharmacology and Toxicology, College of Pharmacy, The University of Texas at Austin.
Andrew D GaudetDepartment of Psychology, College of Liberal Arts, The University of Texas at Austin, USA; Department of Neurology, Dell Medical School, The University of Texas at Austin. Electronic address: andrew.gaudet@utexas.edu.
The University of Texas at Austin · US

Funding

Disrupted Circadian Regulation of Cell Migration at CNS-Immune Interfaces in Aging and Alzheimer's DiseaseR01AG078758 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI Laura K Fonken · 2022 to 2026
$2.9M
Circadian control of neuroinflammation after spinal cord injuryR01NS131806 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI Andrew David Gaudet · 2023 to 2026
$1.9M
NIA NIH HHS R01 AG078758NINDS NIH HHS R01 NS131806
6 · The paper itself

Abstract

Spinal cord injury (SCI) can cause long-lasting locomotor deficits, pain, and mood disorders. Anatomical and functional outcomes are exacerbated by inflammation after SCI, which causes secondary damage. One promising target after SCI is manipulating the circadian system, which optimizes biology and behavior for time of day - including neuroimmune responses and mood-related behaviors. Circadian disruption after SCI is likely worsened by a disruptive hospital environment, which typically includes dim light-at-night (dLAN). Here, we hypothesized that mice subjected to SCI, then placed in dLAN, would exhibit worsened locomotor deficits, pain-like behavior, and anxiety-depressive-like symptoms compared to mice maintained in light days with dark nights (LD). C57BL/6 J mice received sham surgery or moderate T9 contusion SCI, then were placed permanently in LD or dLAN. dLAN after SCI did not worsen locomotor deficits; rather, SCI-dLAN mice showed slight improvement in open-field locomotion at the final timepoint. Although dLAN did not alter SCI-induced heat hyperalgesia, SCI-dLAN mice exhibited an increase in mechanical allodynia at 13 days post-SCI compared to SCI-LD mice. SCI-LD and SCI-dLAN mice had similar outcomes using sucrose preference (depressive-like) and open-field (anxiety-like) tests. At 21 dpo, SCI-dLAN mice had reduced preference for a novel juvenile compared to SCI-LD, implying that dLAN combined with SCI may worsen this mood-related behavior. Finally, lesion size was similar between SCI-LD and SCI-dLAN mice. Therefore, newly placing C57BL/6 J mice in dLAN after SCI had modest effects on locomotor, pain-like, and mood-related behaviors. Future studies should consider whether clinically-relevant circadian disruptors, alone or in combination, could be ameliorated to enhance outcomes after SCI.

Indexed as

Circadian RhythmSpinal Cord InjuriesAnimalsHyperalgesiaLightMiceMice, Inbred C57BLPainSpinal CordAnxietyCircadian disruptionCircadian rhythmsDepressionNeuroinflammationNeuropathic painNeuroprotectionSpinal cord injury

Identifiers

PMID38365132
PMCPMC10981559
OpenAlexW4391850499

What Socratic holds

Textmetadata
LicenceTDM
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.