Forsomethingascomplexandmultifacetedasbacterialantibioticresistance(AR),ourdrugevaluation paradigmisstrikinglynarrowandhomogenous:MIC/MBCtestinginstandardizedbacteriologicmedia.We haveshownthatthisdrugevaluationparadigmisinadequate,evenmisleading,aschangesinthemedia conditionsoftheprocedureleadtodramaticallydifferentresults.Amoreholisticdefinitionofantibiotictherapy thatcentersonunderstandingantibioticactivityinsynergywithhostinnateimmunefactorssuchascationic antimicrobialpeptides(AMPs),serumandphagocyticcells(e.g.neutrophils)revealstherapeuticoptions unrecognizedinstandardtesting.TheproposedU01programrepresentsagroundbreakingapproachtouse systemsbiologyapproachesandinformmoreeffectiveantibioticutilizationinthecontextofhostinnate immunity.Weproposeto:1)buildaniterativesystemsbiologyworkflowthatintegratesmultipleexperimental andcomputationalapproachestogiveacomprehensiveassessmentofAR?and2)applythisworkflowtohigh prioritypathogenstosystematicallyelucidateARmechanismsandtheirconditiondependency.Theiterative workflowincludes:(i)omicsandphysiologicaldatageneration.Clinicallyisolatedstrainsoftheselected pathogenswillbegrownunderconventionaltesting(bacteriologicmedia)andmorephysiologicconditions (tissueculturemedia,serum,andinpresenceofAMPsandneutrophils)toprobeforadvantageousgainof activity.Theomicsdatatypescollectedare:DNAresequencing,RNAseq,andmetabolomics.(ii) Bioinformaticsanddatamodelinganalysisinvolvesthreeapproaches:bigdataanalysisfordataset dimensionalityandcoarsegrainedvariabledependenciesassessment,genomescalemodelingfor mechanisticelucidationandanalysis,andmachinelearningthatusesARrelatedmetadatatoclassifythe overallbiologicalfunctions.ThisanalysiswillleadtounderstandingofARmechanisms.(iii)Multiscale validationfromanimalmodels,tolaboratoryevolution,tocytology,togeneexpressionalteration,tostructural proteinanalysisofputativetargets.Thevalidationthusrangesfromhostbehaviortoatomisticdetailof ligandtargetinteractions.Theiterativeloopthencloses,comparingcomputationalpredictiontoexperimental outcomes.Falsenegativeandfalsepositivepredictionsarethenalgorithmicallyanalyzedbyahypothesis generatingfamilyofalgorithmsthatthenmakessuggestionsaboutwhatconditionstouseinthenextiteration oftheloop.Thepathogensthatwewillfocusonaremethicillinresistant?Staphylococcusaureus?(MRSA),the carbapenemresistantEnterobacteriaceae(CRE)Klebsiella?pneumoniae?and?Acinetobacterbaumannii,?and Pseudomonasaeruginosa?.Theteamofinvestigatorshasmadethefoundationalobservationsandledthe developmentofthetechnologiesonwhichtheiterativeworkflowisbased.Amultiandgenomescalemethods ofsystemsbiologyfulfillsrequirementsofRFAAI14064towhichitresponds.

Public Health Relevance

Thecurrentevaluationofantibioticdrugcandidatesindrugdiscoveryandinclinicalmedicineisconductedin laboratorymediathatignorestheactualphysiologicconditionsinthehostandthehostimmunesystem.We havediscoveredpotentantimicrobialactivitiesofexistingantibioticsagainsthighly?drugresistantsuperbugs? thatarecurrentlyignoredbutrevealedinsynergywiththehumanimmunesystem.Thisprogramproposesa holisticandcomprehensivesystemsbiologyapproachtosystematicallydiscovernoveltreatmentopportunities andunderlyingmechanismsusinganoveliterativedatageneration,analysis,andmodelingworkflow.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01AI124316-05
Application #
9933789
Study Section
Special Emphasis Panel (ZAI1)
Program Officer
Shabman, Reed Solomon
Project Start
2016-03-15
Project End
2021-02-28
Budget Start
2020-03-01
Budget End
2021-02-28
Support Year
5
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California, San Diego
Department
Pediatrics
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
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