grant

Stroke Preclicinal Assessment Network

Organization MASSACHUSETTS GENERAL HOSPITALLocation BOSTON, UNITED STATESPosted 1 Dec 2022Deadline 30 Nov 2026
NIHUS FederalResearch GrantFY2025Active Follow-upAcuteAdvocateAnimal Experimental UseAnimal ExperimentationAnimal ModelAnimal Models and Related StudiesAnimal ResearchAnimalsApoplexyBBB disruptionBleedingBlindedBody TissuesBrain Vascular AccidentCerebral IschemiaCerebral StrokeCerebrovascular ApoplexyCerebrovascular StrokeChargeChronicClinicalClinical TrialsCommon Data ElementCommon Rat StrainsComplementComplement ProteinsDataDropsyEdemaEnsureEventFilamentHemorrhageHistologicHistologicallyHuman ResourcesHydropsHyperglycemic MiceImageImaging DeviceImaging InstrumentImaging ToolInbred SHR RatsInterventionIschemic StrokeLaboratoriesLeadMR ImagingMR TomographyMRIMRIsMagnetic Resonance ImagingManpowerManuscriptsMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMiceMice MammalsMiddle Cerebral Artery OcclusionModelingMurineMusNINDSNMR ImagingNMR TomographyNational Institute of Neurological Diseases and StrokeNational Institute of Neurological Disorders and StrokeNeurocognitiveNeurologicNeurologic outcomeNeurologicalNeurological outcomeNuclear Magnetic Resonance ImagingObese MiceOutcome AssessmentPb elementPeer ReviewPhysiologicPhysiologicalPreclinical TestingProtocolProtocols documentationPublishingRandomizedRatRats MammalsRattusReperfusion TherapyReproducibilityResearchResearch ResourcesResourcesRestRodentRodentiaRodents MammalsSHR RatsSafetyScientistSpontaneously Hypertensive RatsStrokeStructureTestingTherapeuticTissuesVideo RecordingVideorecordingWeatherWild Type MouseWorkZeugmatographyactive followupacute cerebrovascular accidentacute strokeanalysis pipelineanimal dataanimal experimentationsautomated analysisblood lossblood-brain barrier disruptionbloodbrain barrier disruptionbrain attackcentral databasecerebral vascular accidentcerebroprotectioncerebroprotectivecerebrovascular accidentclinical candidateclinical predictorsclinical relevanceclinically relevantcomplementationdesigndesigningdevelop therapydiet-associated obesitydiet-induced obesitydiet-related obesityexperiencefollow upfollow-upfollowed upfollowupfunctional outcomesheavy metal Pbheavy metal leadhigh standardimagingindexinginnovateinnovationinnovativeintervention developmentmodel of animalmolecular biomarkermolecular markermortalityob/ob mouseoptic imagingoptical imagingpandemicpandemic diseasepersonnelpre-clinicalpre-clinical assessmentpre-clinical studypre-clinical testingpre-clinical trialpreclinicalpreclinical assessmentpreclinical studypreclinical trialprospectiverandomisationrandomizationrandomly assignedrecruitreperfusionresilienceresilientresponsespontaneous hypertensive ratstroke interventionstroke therapystroke treatmentstrokedstrokessuccesstherapy developmenttooltractographytreating stroketreatment developmenttreatment effectvasogenic edemavideo recording systemwildtype mouse
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Full Description

Exploratory animal data on potential stroke therapies has not been predictive of clinical success. There
are concerns over the design and conduct of pre-clinical studies, their reproducibility and generalizability. The

response to this challenge was the NINDS Stroke Preclinical Assessment Network (SPAN), an unbiased

multicenter platform for preclinical confirmatory studies in translational stroke research. The MGH team was

among the six laboratories selected by the peer review for this first iteration of SPAN (SPAN-1).

We made major contributions to the design of SPAN-1. MGH took charge of the MRI protocol for

SPAN-1 and helped develop a fully automated analysis pipeline. We then contributed almost 400 animals in

under 2 years to test six different acute stroke interventions. Each animal underwent two MRIs (days 2 and 30)

and two neurological tests (days 7 and 28). Overall mortality was only ~10% during 28-day survival. Our

technical losses amounted to just 17 animals. There were only 3 protocol deviations or violations. Our

overarching aim is to repeat this success in the next iteration of SPAN (SPAN-2).

We are an experienced team of clinical and basic scientists capable of adjusting to the needs of the

network. MGH SPAN team has collectively published over 100 manuscripts using various focal cerebral

ischemia models and acute and chronic neurological outcome readouts in rodents. MGH will also bring

additional innovative approaches to SPAN-2, such as introducing MRI readouts for hemorrhagic

transformation, blood-brain barrier (BBB) disruption and tractography. We will complement the latter with

optical imaging of resting state functional connectivity (RSFC) at the end of the follow up period.

Aim 1. Contribute to SPAN-2 as a testing laboratory. We pledge to repeat our success in SPAN-1,

working as a team with the rest of the network and sustaining our high standards with built-in redundancies to

ensure our resilience in the face of personnel changes and disruptive events such as pandemics and weather.

Aim 2. Introduce innovative new structural and functional indices to enrich the SPAN readouts. We will

go beyond recruiting subjects for the trial by introducing innovative readouts such as hemorrhage, edema,

structural and functional connectivity, and histological analyses, which have not been part of SPAN-1.

Aim 3. Test whether an unbiased, multicenter, randomized, and blinded preclinical trial network can

confirm or refute the published exploratory efficacy and safety data. We hypothesize that SPAN will have the

statistical power and an unbiased structure to provide conclusive evidence confirming or refuting published

exploratory data of prospective cerebroprotective therapies in ischemic stroke in combination with reperfusion.

For over a decade, we have advocated for and passionately supported the concept of an unbiased

multicenter preclinical testing platform. We enthusiastically worked as part of SPAN-1 to ensure its success.

And now we are fully committed to support SPAN-2 to make it a success as well.

Grant Number: 5U01NS130588-03
NIH Institute/Center: NIH

Principal Investigator: Cenk Ayata

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