Combining clinically common drugs with hindlimb stretching in spinal cord injured rodents.

STUDY DESIGN: Preclinical pilot study. OBJECTIVES: To explore peripheral and central nociceptive mechanisms that contribute to muscle stretch-induced locomotor deficits following spinal cord injury. SETTING: Kentucky Spinal Cord Injury Research Center, Louisville, KY, USA. METHODS: Ten female Sprague-Dawley rats received moderate, 25 g/cm T10 contusion injuries and recovered for 4 weeks. Rats were divided into three groups: Morphine/Ibuprofen-treated, Acetaminophen/Baclofen-treated, and saline control. Each group received daily hindlimb muscle stretching during weeks 4, 5, 9, and 10 post-injury and drugs were administered with stretching during weeks 4 and 9 only. Locomotor function was assessed throughout the experiment using the BBB Open Field Locomotor Scale. Hindlimb responses including spasticity, writhing, and clonic-like vibrations during muscle stretching were classified and scored. RESULTS: Consistent with our previous studies, hindlimb muscle stretching caused significant deficits in locomotor recovery following spinal cord injury. Baclofen and Ibuprofen partially mitigated the stretching effect, but none of the drugs significantly prevented the drop in locomotor function during stretching. Interestingly, treatment with Baclofen or Ibuprofen significantly reduced hindlimb responses such as spasticity and writhing during stretching, while Morphine exacerbated clonic-like vibrations in response to stretching maneuvers. CONCLUSIONS: These findings suggest that stretching may inhibit locomotor recovery through combined mechanisms of peripheral inflammation and sensitization of nociceptive afferents. When combined with central sprouting and loss of descending controls after SCI, this results in exaggerated nociceptive input during stretching. The inability of the applied clinical drugs to mitigate the detrimental effects of stretching highlights the complexity of the stretching phenomenon and emphasizes the need for further investigation.

Construction of a Searchable Database for Gene Expression Changes in Spinal Cord Injury Experiments.

Spinal cord injury (SCI) is a debilitating condition with an estimated 18,000 new cases annually in the United States. The field has accepted and adopted standardized databases such as the Open Data Commons for Spinal Cord Injury (ODC-SCI) to aid in broader analyses, but these currently lack high-throughput data despite the availability of nearly 6000 samples from over 90 studies available in the Sequence Read Archive. This limits the potential for large datasets to enhance our understanding of SCI-related mechanisms at the molecular and cellular level. Therefore, we have developed a protocol for processing RNA-Seq samples from high-throughput sequencing experiments related to SCI resulting in both raw and normalized data that can be efficiently mined for comparisons across studies, as well as homologous discovery across species. We have processed 1196 publicly available RNA-Seq samples from 50 bulk RNA-Seq studies across nine different species, resulting in an SQLite database that can be used by the SCI research community for further discovery. We provide both the database as well as a web-based front-end that can be used to query the database for genes of interest, differential gene expression, genes with high variance, and gene set enrichments.

Construction of a searchable database for gene expression changes in spinal cord injury experiments.

Spinal cord injury (SCI) is a debilitating disease resulting in an estimated 18,000 new cases in the United States on an annual basis. Significant behavioral research on animal models has led to a large amount of data, some of which has been catalogued in the Open Data Commons for Spinal Cord Injury (ODC-SCI). More recently, high throughput sequencing experiments have been utilized to understand molecular mechanisms associated with SCI, with nearly 6,000 samples from over 90 studies available in the Sequence Read Archive. However, to date, no resource is available for efficiently mining high throughput sequencing data from SCI experiments. Therefore, we have developed a protocol for processing RNA-Seq samples from high-throughput sequencing experiments related to SCI resulting in both raw and normalized data that can be efficiently mined for comparisons across studies as well as homologous discovery across species. We have processed 1,196 publicly available RNA-seq samples from 50 bulk RNA-Seq studies across nine different species, resulting in an SQLite database that can be used by the SCI research community for further discovery. We provide both the database as well as a web-based front-end that can be used to query the database for genes of interest, differential gene expression, genes with high variance, and gene set enrichments.