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PROJECT SUMMARY Spinal cord injury (SCI) patients experience limited functional recovery, owing in part to the paucity of axon regrowth from injured CNS neurons. Effective treatments are lacking, likely because of multiple factors, intrinsic and extrinsic, that inhibit axon growth. Thus, we require agents that target more than one source of regeneration failure. Kinases are ubiquitous signal transducers that regulate most cellular processes, including axon growth. To begin to identify compounds that positively regulate axon growth, we screened 1600 small-molecule kinase inhibitors (KIs) in an in vitro CNS neurite outgrowth assay and identified “hit” KIs that reproducibly and strongly promote outgrowth. Due to homology of catalytic domains, KIs typically inhibit multiple kinases. This makes it difficult to identify the kinase(s) that mediate a KI’s effects on cells. We used information theory and machine learning to analyze the inhibition profiles of KIs in relation to their effects on neurite outgrowth. This enabled us to identify, and later validate via siRNA knockdown in primary neurons, multiple kinase targets (i.e. kinases that should be inhibited to promote neurite outgrowth). These included previously known targets that regulate intrinsic and extrinsic inhibitor factors, in addition to several novel candidates. Conversely, we identified kinases whose activity is critical for neurite outgrowth, and whose inhibition must be avoided (anti-targets). We discovered several KIs that inhibit multiple targets and no anti-targets. These KIs strongly promoted neurite outgrowth in vitro. We tested the KI, RO48, that had the largest effect in vitro in two in vivo models. Our preliminary experiments indicate that RO48 is remarkably effective in vivo. It promoted robust axonal growth of the corticospinal tract (CST) in three separate models of CST injury (pyramidotomy, funiculotomy, dorsal hemisection), and in the dorsal hemisection model, improved forelimb function. We propose to build on these remarkable results to test the working hypothesis that the simultaneous inhibition of RO48’s five target kinases (ROCK, PKC, PRKG1, PRKX, and RPS6K) promotes sprouting and regeneration of CST axons. This will be accomplished using viral vectors to knock down expression of the different target kinases individually and in combination. We will do knockdown in CST neurons in the cortex. We will assess CST axon growth at the injury site using light microscopy. We will also perform experiments to determine if RO48-induced CST axon growth promotes axon sprouting, regeneration, or both, and whether RO48 improves behavioral outcomes such as grasping and walking after a contusion injury.These experiments will 1) validate novel kinases as in vivo targets for future development of SCI therapeutics 2) determine whether these kinases regulate CST axon sprouting, regeneration, or both, and 3) confirm whether the substantial stimulation of axon growth induced by treatment with RO48 improves motor outcomes in a clinically relevant contusion model.
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AAV8 transduction capacity is reduced by prior exposure to endosome-like pH conditions.
通过事先暴露于内体样pH条件来降低AAV8转导能力。
DOI: 10.4103/1673-5374.299272
发表时间: 2021-05
期刊: Neural regeneration research
影响因子: 6.1
作者: [Lowell JA, Mah KM, Bixby JL, Lemmon VP]
通讯作者: Lemmon VP
DOI: 10.1177/2472555220930697
发表时间: 2020-08
期刊: SLAS discovery : advancing life sciences R & D
影响因子: --
作者: [Devkota P, Danzi MC, Lemmon VP, Bixby JL, Wuchty S]
通讯作者: Wuchty S
DOI: 10.1016/j.expneurol.2022.114117
发表时间: 2022-09
期刊: EXPERIMENTAL NEUROLOGY
影响因子: 5.3
作者: [Mah, Kar Men, Wu, Wei, Al-Ali, Hassan, Sun, Yan, Han, Qi, Ding, Ying, Munoz, Melissa, Xu, Xiao-Ming, Lemmon, Vance P., Bixby, John L.]
通讯作者: Bixby, John L.
DOI: 10.1177/24725552211026270
发表时间: 2021-12
期刊: SLAS DISCOVERY
影响因子: 3.1
作者: [Lowell, Jeffrey A., O'Neill, Nicholas, Danzi, Matt C., Al-Ali, Hassan, Bixby, John L., Lemmon, Vance P.]
通讯作者: Lemmon, Vance P.
Targeting Multiple Kinases to Treat Experimental Spinal Cord Injury
Targeting Multiple Kinases to Treat Experimental Spinal Cord Injury
Regenbase: A Searchable Database to Organize Regeneration Knowledge via Ontologie
Regenbase: A Searchable Database to Organize Regeneration Knowledge via Ontologie
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