Ana Luisa Perdigoto, MD, PhD
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About
Titles
Assistant Professor
Appointments
Endocrinology
InstructorPrimary
Other Departments & Organizations
Education & Training
- Postdoctoral fellow
- Yale School of Medicine (2021)
- Clinical fellow
- Yale School of Medicine (2016)
- Resident
- Yale New Haven Hospital (2014)
- Intern
- Yale New Haven Hospital (2013)
- MD
- Vanderbilt University School of Medicine (2012)
- PhD
- Vanderbilt University School of Medicine (2010)
- BS
- Brown University (2001)
Board Certifications
Endocrinology Diabetes & Metabolism
- Certification Organization
- AB of Internal Medicine
- Original Certification Date
- 2018
Internal Medicine
- Certification Organization
- AB of Internal Medicine
- Original Certification Date
- 2016
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Ana Luisa Perdigoto's published research.
Publications Timeline
A big-picture view of Ana Luisa Perdigoto's research output by year.
Harriet Kluger, MD
David Schoenfeld, MD, PhD
Marie Robert, MD
Songyan Deng
Adebowale Adeniran, MD
David Pitt, MD
18Publications
510Citations
Publications
2024
The immunology of type 1 diabetes
Herold K, Delong T, Perdigoto A, Biru N, Brusko T, Walker L. The immunology of type 1 diabetes. Nature Reviews Immunology 2024, 24: 435-451. PMID: 38308004, PMCID: PMC7616056, DOI: 10.1038/s41577-023-00985-4.Peer-Reviewed Original ResearchCitationsConceptsType 1 diabetesT cellsDestruction of pancreatic B-cellsImmune-targeted interventionsTarget T cellsPathogenesis of T1DB-cell massPancreatic B-cellsAutoimmune destructionB cellsGlucose dysregulationImmune mechanismsImmune systemNatural historyDisease pathogenesisT1DRegulatory approvalTreatment of individualsDiscovery of insulinPathogenesisDiseaseSeminal discoveriesImmunotherapy
2023
A bedside to bench study of anti-PD-1, anti-CD40, and anti-CSF1R indicates that more is not necessarily better
Djureinovic D, Weiss S, Krykbaeva I, Qu R, Vathiotis I, Moutafi M, Zhang L, Perdigoto A, Wei W, Anderson G, Damsky W, Hurwitz M, Johnson B, Schoenfeld D, Mahajan A, Hsu F, Miller-Jensen K, Kluger Y, Sznol M, Kaech S, Bosenberg M, Jilaveanu L, Kluger H. A bedside to bench study of anti-PD-1, anti-CD40, and anti-CSF1R indicates that more is not necessarily better. Molecular Cancer 2023, 22: 182. PMID: 37964379, PMCID: PMC10644655, DOI: 10.1186/s12943-023-01884-x.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsStable diseasePartial responseMacrophage populationsThree-drug regimenUnconfirmed partial responsePhase I trialLimited treatment optionsMonocyte/macrophage populationNon-classical monocytesMurine melanoma modelTreatment-related changesResultsThirteen patientsWorse survivalI trialInflammatory tumorPatient populationTreatment optionsImmune cellsDisease progressionMurine studiesPreclinical modelsResistant melanomaAntigen presentationMurine modelCyTOF analysisResponse to "NLRC5 germline variants and their potential role in eliciting an immune response in patients with cancer treated with immune checkpoint inhibitors" by Xiang-Yu Meng
Aizenbud L, Schoenfeld D, Caulfield J, Mann J, Austin M, Perdigoto A, Herold K, Kluger H. Response to "NLRC5 germline variants and their potential role in eliciting an immune response in patients with cancer treated with immune checkpoint inhibitors" by Xiang-Yu Meng. Journal For ImmunoTherapy Of Cancer 2023, 11: e007397. PMID: 37349129, PMCID: PMC10314693, DOI: 10.1136/jitc-2023-007397.Peer-Reviewed Original ResearchGermline genetic variants are associated with development of insulin-dependent diabetes in cancer patients treated with immune checkpoint inhibitors
Caulfield J, Aizenbud L, Perdigoto A, Meffre E, Jilaveanu L, Michalek D, Rich S, Aizenbud Y, Adeniran A, Herold K, Austin M, Kluger H. Germline genetic variants are associated with development of insulin-dependent diabetes in cancer patients treated with immune checkpoint inhibitors. Journal For ImmunoTherapy Of Cancer 2023, 11: e006570. PMID: 36898736, PMCID: PMC10008335, DOI: 10.1136/jitc-2022-006570.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsImmune-related adverse eventsInsulin-dependent diabetesImmune checkpoint inhibitorsType 1 diabetesCheckpoint inhibitorsControl patientsSevere immune-related adverse eventsImmunotherapy-treated patientsCheckpoint inhibitor therapyIslet cell destructionPotential predictive biomarkersIslet cell functionWhole-exome sequencingICI exposureAdverse eventsGermline genetic variantsInhibitor therapyPatient selectionTreatment regimensCancer patientsPredictive biomarkersGeneral populationPatientsDiabetesSame drugSpectrum of Clinical Presentations, Imaging Findings, and HLA Types in Immune Checkpoint Inhibitor–Induced Hypophysitis
Quandt Z, Kim S, Villanueva-Meyer J, Coupe C, Young A, Kang J, Yazdany J, Schmajuk G, Rush S, Ziv E, Perdigoto A, Herold K, Lechner M, Su M, Tyrrell J, Bluestone J, Anderson M, Masharani U. Spectrum of Clinical Presentations, Imaging Findings, and HLA Types in Immune Checkpoint Inhibitor–Induced Hypophysitis. Journal Of The Endocrine Society 2023, 7: bvad012. PMID: 36860908, PMCID: PMC9969737, DOI: 10.1210/jendso/bvad012.Peer-Reviewed Original ResearchCitationsAltmetricConceptsPD-1/PD-L1 inhibitor monotherapyImmune-related adverse eventsPD-L1 inhibitor monotherapyMagnetic resonance imagingCheckpoint inhibitorsInhibitor monotherapyHLA typesPD-1/PD-L1 inhibitorsCTLA-4/PDCTLA-4 inhibitorsImmune checkpoint inhibitorsPD-L1 inhibitorsThyroid function testsInhibitor combination therapyTiming of onsetAdverse eventsMRI changesClinical presentationFunction testsImaging findingsCombination therapyMean ageInhibitor exposureEffect modificationHLA typing
2022
Immune cells and their inflammatory mediators modify beta cells and cause checkpoint inhibitor-induced diabetes
Perdigoto AL, Deng S, Du KC, Kuchroo M, Burkhardt DB, Tong A, Israel G, Robert ME, Weisberg SP, Kirkiles-Smith N, Stamatouli AM, Kluger HM, Quandt Z, Young A, Yang ML, Mamula MJ, Pober JS, Anderson MS, Krishnaswamy S, Herold KC. Immune cells and their inflammatory mediators modify beta cells and cause checkpoint inhibitor-induced diabetes. JCI Insight 2022, 7: e156330. PMID: 35925682, PMCID: PMC9536276, DOI: 10.1172/jci.insight.156330.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsCheckpoint inhibitorsΒ-cellsPD-1/PD-L1 pathwayT-lymphocyte antigen-4PD-1 blockadePD-L1 pathwayDeath ligand 1NOD mouse modelDevelopment of diabetesHuman β-cellsAutoimmune complicationsNOD miceΒ-cell populationDeath-1Diabetes mellitusImmune infiltratesInflammatory mediatorsPancreatic inflammationPD-L1Induced diabetesLymphocytic infiltrationInflammatory cytokinesAntigen-4Immune cellsT cellsCitrullination of glucokinase is linked to autoimmune diabetes
Yang ML, Horstman S, Gee R, Guyer P, Lam TT, Kanyo J, Perdigoto AL, Speake C, Greenbaum CJ, Callebaut A, Overbergh L, Kibbey RG, Herold KC, James EA, Mamula MJ. Citrullination of glucokinase is linked to autoimmune diabetes. Nature Communications 2022, 13: 1870. PMID: 35388005, PMCID: PMC8986778, DOI: 10.1038/s41467-022-29512-0.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsGlucose-stimulated insulin secretionResult of inflammationType 1 diabetesBeta-cell metabolismPancreatic beta cellsAutoimmune diabetesNOD miceAutoreactive CD4Inflammatory cytokinesAutoimmune biomarkersInsulin secretionT cellsBeta cellsType 1InflammationBiologic activityReactive oxygen speciesDiabetesPost-translational modificationsDiabetes biomarkersGlycogen synthesisBiomarkersCitrullinationGlucokinaseOxygen species
2021
Tet2 Controls the Responses of β cells to Inflammation in Autoimmune Diabetes
Rui J, Deng S, Perdigoto AL, Ponath G, Kursawe R, Lawlor N, Sumida T, Levine-Ritterman M, Stitzel ML, Pitt D, Lu J, Herold KC. Tet2 Controls the Responses of β cells to Inflammation in Autoimmune Diabetes. Nature Communications 2021, 12: 5074. PMID: 34417463, PMCID: PMC8379260, DOI: 10.1038/s41467-021-25367-z.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsImmune cellsΒ-cellsNOD/SCID recipientsDiabetogenic immune cellsDiabetogenic T cellsBone marrow transplantType 1 diabetesExpression of TET2Human β-cellsIslet infiltratesSCID recipientsMarrow transplantInflammatory pathwaysTransfer of diseaseT cellsInflammatory genesImmune killingPathologic interactionsReduced expressionDiabetesInflammationTET2MiceRecipientsCellsAdverse events induced by immune checkpoint inhibitors
Perdigoto AL, Kluger H, Herold KC. Adverse events induced by immune checkpoint inhibitors. Current Opinion In Immunology 2021, 69: 29-38. PMID: 33640598, PMCID: PMC8122053, DOI: 10.1016/j.coi.2021.02.002.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsMeSH KeywordsAnimalsAutoantibodiesAutoantigensAutoimmune DiseasesAutoimmunityCytotoxicity, ImmunologicDrug-Related Side Effects and Adverse ReactionsGene-Environment InteractionGenetic Predisposition to DiseaseHumansImmune Checkpoint InhibitorsImmunotherapyLymphocyte ActivationNeoplasmsT-LymphocytesConceptsImmune checkpoint inhibitorsCheckpoint inhibitorsAdverse eventsT cellsImmune related adverse eventsEmergence of autoantibodiesRelated adverse eventsAnti-tumor responseAutoreactive T cellsActivated T cellsAutoimmune mechanismsTreatment of cancerAutoimmune diseasesInflammatory responsePredictive valueHost factorsToxic effectsInhibitorsDirect effectOngoing investigationAutoantibodiesCellsAutoimmunityPathogenesisCancerQuantifying the effect of experimental perturbations at single-cell resolution
Burkhardt DB, Stanley JS, Tong A, Perdigoto AL, Gigante SA, Herold KC, Wolf G, Giraldez AJ, van Dijk D, Krishnaswamy S. Quantifying the effect of experimental perturbations at single-cell resolution. Nature Biotechnology 2021, 39: 619-629. PMID: 33558698, PMCID: PMC8122059, DOI: 10.1038/s41587-020-00803-5.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSingle-cell RNA sequencing datasetsClusters of cellsRNA sequencing datasetsSingle-cell resolutionSingle-cell levelTranscriptomic spaceSequencing datasetsExperimental perturbationsCell populationsGene signatureVertex frequencyDiscrete regionsCellsEffects of perturbationsMultiple conditionsPerturbation responseClustersPopulationPerturbationsLikelihood estimatesGraph signal processing
Academic Achievements and Community Involvement
honor Iva Dostanic Physician-Scientist Trainee Award
Yale School of Medicine AwardYale School of Medicine, Department of Internal MedicineDetails06/24/2021United States
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- June 05, 2023
Discoveries & Impact (June 2023)
- May 09, 2023
Irene Chernova is the 2023 Dostanic Award Recipient
- November 27, 2022
Request for Nominations for 2023 Iva Dostanic, MD, PhD, Physician-Scientist Trainee Award
- November 16, 2022
Discoveries & Impact (November 2022)
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