Literature DB >> 34954116

Spinal cord injury chronically depresses glucose uptake in the rodent model.

Shalini Jaiswal1, Fiona Brabazon2, Ramona von Leden2, Deanna Acs3, Sean Collier3, Nathanael Allison4, Bernard Dardzinski5, Kimberly R Byrnes6.   

Abstract

The pathophysiology following spinal cord injury (SCI) progresses from its lesion epicenter resulting in cellular and systemic changes acutely, sub-acutely and chronically. The symptoms of the SCI depend upon the severity of the injury and its location in the spinal cord. However, there is lack of studies that have longitudinally assessed acute through chronic in vivo changes following SCI. In this combinatorial study we fill this gap by evaluating acute to chronic effects of moderate SCI in rats. We have used fluorodeoxyglucose (FDG) imaging with positron emission tomography (PET) as a marker to assess glucose metabolism, motor function, and immunohistochemistry to examine changes following moderate SCI. Our results demonstrate decreased FDG uptake at the injury site chronically at days 28 and 90 post injury compared to baseline. This alteration in glucose uptake was not restricted to the lesion site, showing depressed FDG uptake in non-injured areas (cervical spinal cord and cerebellum). The alteration in glucose uptake was correlated with reductions in neuronal cell viability and increases in glial cell activation at 90 days at the lesion site, as well as chronic impairments in motor function. These data demonstrate the chronic effects of SCI on glucose metabolism both within the lesion and distally within the spinal cord and brain. Published by Elsevier B.V.

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Keywords:  Fluorodeoxyglucose; PET/CT; Spinal Cord Injury

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Year:  2021        PMID: 34954116     DOI: 10.1016/j.neulet.2021.136416

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  1 in total

1.  The effect of metformin on ameliorating neurological function deficits and tissue damage in rats following spinal cord injury: A systematic review and network meta-analysis.

Authors:  Long-Yun Zhou; Xu-Qing Chen; Bin-Bin Yu; Meng-Xiao Pan; Lu Fang; Jian Li; Xue-Jun Cui; Min Yao; Xiao Lu
Journal:  Front Neurosci       Date:  2022-08-11       Impact factor: 5.152

  1 in total

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