| Literature DB >> 33790323 |
Brian Mark Lozinski1,2, Luiz Gustavo Nogueira de Almeida3,4,5, Claudia Silva1,2, Yifei Dong1,2, Dennis Brown1,2, Sameeksha Chopra3,4,5, V Wee Yong1,2, Antoine Dufour6,7,8,9.
Abstract
Exercise affords broad benefits for people with multiple sclerosis (PwMS) including less fatigue, depression, and improved cognition. In animal models of multiple sclerosis (MS), exercise has been shown to improve remyelination, decrease blood-brain barrier permeability and reduce leukocyte infiltration. Despite these benefits many PwMS refrain from engaging in physical activity. This barrier to participation in exercise may be overcome by uncovering and describing the mechanisms by which exercise promotes beneficial changes in the central nervous system (CNS). Here, we show that acute bouts of exercise in mice profoundly alters the proteome in demyelinating lesions. Following lysolecithin induced demyelination of the ventral spinal cord, mice were given immediate access to a running wheel for 4 days. Lesioned spinal cords and peripheral blood serum were then subjected to tandem mass tag labeling shotgun proteomics workflow to identify alteration in protein levels. We identified 86 significantly upregulated and 85 downregulated proteins in the lesioned spinal cord as well as 14 significantly upregulated and 11 downregulated proteins in the serum following acute exercise. Altered pathways following exercise in demyelinated mice include oxidative stress response, metabolism and transmission across chemical synapses. Similar acute bout of exercise in naïve mice also changed several proteins in the serum and spinal cord, including those for metabolism and anti-oxidant responses. Improving our understanding of the mechanisms and duration of activity required to influence the injured CNS should motivate PwMS and other conditions to embrace exercise as part of their therapy to manage CNS disability.Entities:
Year: 2021 PMID: 33790323 PMCID: PMC8012633 DOI: 10.1038/s41598-021-86593-5
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Workflow and running wheel activity. The LPC mice recovered for ~ 1–2 h post-surgery and the same rest period was given to naïve mice. Naïve and LPC animals were given access to a running wheel, or a wheel on its side immediately following recovery. (A) Schematic demonstrating experimental workflow. Animals were subjected to LPC surgery or not, then housed with an unlocked or locked running wheel. Serum and tissue were collected on the 4th day (4 h into the running cycle) and subjected to a quantitative shotgun proteomics workflow. Spinal cords and serum were pooled in groups of 2 for adequate protein concentrations (n = 4 of 2 pooled samples, n = 8 total). Figure was drawn using BioRender. The data was analyzed using the freely available MaxQuant software v.1.6.0.1 (https://www.maxquant.org). (B) Running wheel data of naïve and LPC mice. Revolutions were monitored and binned in 10-min increments. Figure was drawn using Prism. (C) Quantification of total distance run over a 4-day period for naïve (n = 8) and LPC (n = 8) mice. Student’s t-test was used for statistics. *P < 0.05.
Figure 2Effect of exercise on naïve spinal cord proteome after 4 days of running. Red, significantly elevated in the exercise group; Blue, significantly elevated in the sedentary group. (A) Quantification of differentially expressed proteins as determined by interquartile box plot analysis. A false discovery rate (FDR) of 1% was applied to the database search on MaxQuant. (B) Heatmap of differentially expressed proteins in naïve spinal cord tissue. (C) Heatmap of proteins and associated reactome pathways as determined by STRING (https://string-db.org). A false discovery rate (FDR) for each pathway was added on the left of each heatmap. Interquartile box plot analysis was used for statistics. Data analysis was accomplished using the R software[32]. The plot was generated using the heatmap.2 function from the gplots package[34].
Figure 3Impact of LPC surgery on mice subjected to running wheel. (A) Workflow and representative eriochrome cyanine-stained sections with lesion in the ventrolateral white matter delineated by dashed lines. Figure was drawn using BioRender. (B) Representative images of LPC lesion (left) and contralateral normal appearing white matter (right) 4 days post injury stained for mature oligodendrocytes (CC1) in red, OPCs (PDGFRα) in green, oligodendrocyte lineage cells (OLIG2) in white, and DNA (DAPI) in blue. (C) Representative images of LPC lesion 4 days post injury stained for myelin and myelin debris (MBP) in red, axons (NFH) in green, and astrocytes (GFAP) in white, and DNA (DAPI) in blue. In both (B) and (C), the lesion is outlined by the irregular dashed line while the non-involved contralateral site is denoted by the rectangle dashed line. Scale bar represents 100 μm.
Figure 4Effect of exercise on LPC demyelinated spinal cord proteome after 4 days of running wheel. (A) Quantification of differentially expressed proteins in LPC demyelinated spinal cord 4 dpi as determined by interquartile box plot analysis. A false discovery rate (FDR) of 1% was applied to the database search on MaxQuant. (B) Heatmap of differentially expressed proteins in LPC demyelinated spinal cord. C) Heatmap of proteins and associated reactome pathways as determined by STRING (https://string-db.org). A false discovery rate (FDR) for each pathway was added on the left of each heatmap. Interquartile box plot analysis was used for statistics. Data analysis was accomplished using the R software[32]. The plot was generated using the heatmap.2 function from the gplots package[34].
Figure 5Effect of exercise on LPC demyelinated serum proteome after 4 days of running wheel. (A) Quantification of differentially expressed proteins in LPC demyelinated serum 4 dpi as determined by interquartile box plot analysis. A false discovery rate (FDR) of 1% was applied to the database search on MaxQuant. (B) Heatmap of differentially expressed proteins in LPC demyelinated serum. (C) Heatmap of proteins and associated reactome pathways as determined by STRING (https://string-db.org). A false discovery rate (FDR) for each pathway was added on the left of each heatmap. Interquartile box plot analysis was used for statistics. Data analysis was accomplished using the R software[32]. The plot was generated using the heatmap.2 function from the gplots package[34].
Figure 6Comparison of shared proteins from the naïve and LPC of sedentary and exercising spinal cord proteome. (A) Venn diagram of enriched proteins in each of the 4 experimental groups after boxplot analysis. A total of 1624 proteins were not statistically enriched in any of the groups. 14 common upregulated and 12 common downregulated proteins between naïve and LPC exercising animals are shown in bold. (B) Bar plot showing the 14 proteins upregulated and the 12 proteins downregulated in both the naïve and LPC mice. Data analysis was accomplished using the R software[32]. The plot was generated using the heatmap.2 function from the gplots package[34].
Figure 7Immunofluorescence microscopy of LPC mice validation of shotgun proteomics analysis. (A) Representative images of LPC mice from the sedentary control, exercising animals, and secondary control for connexin-32 (CX32), and myelin (MBP). Scale bar denotes 100 μm. (B) Quantification of lesion area. (C) Quantification of percent of lesion that is MBP-positive. *p < 0.05. (D) Quantification of percent of lesion that is CX32-positive. **p < 0.01. A Mann–Whitney test was used for statistics. Each point is of a single animal, and the bar represents mean ± SD (n of 8 per group).
Figure 8Schematic representation of key protein changes between naïve and LPC mice that underwent 4 days of exercise or remained sedentary. Figure was drawn using BioRender.