Your browser doesn't support javascript.
loading
Differential Dynamics of the Maternal Immune System in Healthy Pregnancy and Preeclampsia.
Han, Xiaoyuan; Ghaemi, Mohammad S; Ando, Kazuo; Peterson, Laura S; Ganio, Edward A; Tsai, Amy S; Gaudilliere, Dyani K; Stelzer, Ina A; Einhaus, Jakob; Bertrand, Basile; Stanley, Natalie; Culos, Anthony; Tanada, Athena; Hedou, Julien; Tsai, Eileen S; Fallahzadeh, Ramin; Wong, Ronald J; Judy, Amy E; Winn, Virginia D; Druzin, Maurice L; Blumenfeld, Yair J; Hlatky, Mark A; Quaintance, Cecele C; Gibbs, Ronald S; Carvalho, Brendan; Shaw, Gary M; Stevenson, David K; Angst, Martin S; Aghaeepour, Nima; Gaudilliere, Brice.
Afiliación
  • Han X; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Ghaemi MS; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Ando K; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Peterson LS; Department of Pediatrics, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Ganio EA; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Tsai AS; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Gaudilliere DK; Department of Surgery, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Stelzer IA; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Einhaus J; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Bertrand B; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Stanley N; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Culos A; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Tanada A; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Hedou J; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Tsai ES; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Fallahzadeh R; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Wong RJ; Department of Pediatrics, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Judy AE; March of Dimes Prematurity Research Center, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Winn VD; Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Druzin ML; Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Blumenfeld YJ; Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Hlatky MA; Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Quaintance CC; Department of Health Research and Policy, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Gibbs RS; March of Dimes Prematurity Research Center, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Carvalho B; Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Shaw GM; Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Stevenson DK; Department of Pediatrics, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Angst MS; March of Dimes Prematurity Research Center, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Aghaeepour N; Department of Pediatrics, School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Gaudilliere B; March of Dimes Prematurity Research Center, School of Medicine, Stanford University, Palo Alto, CA, United States.
Front Immunol ; 10: 1305, 2019.
Article en En | MEDLINE | ID: mdl-31263463
ABSTRACT
Preeclampsia is one of the most severe pregnancy complications and a leading cause of maternal death. However, early diagnosis of preeclampsia remains a clinical challenge. Alterations in the normal immune adaptations necessary for the maintenance of a healthy pregnancy are central features of preeclampsia. However, prior analyses primarily focused on the static assessment of select immune cell subsets have provided limited information for the prediction of preeclampsia. Here, we used a high-dimensional mass cytometry immunoassay to characterize the dynamic changes of over 370 immune cell features (including cell distribution and functional responses) in maternal blood during healthy and preeclamptic pregnancies. We found a set of eight cell-specific immune features that accurately identified patients well before the clinical diagnosis of preeclampsia (median area under the curve (AUC) 0.91, interquartile range [0.82-0.92]). Several features recapitulated previously known immune dysfunctions in preeclampsia, such as elevated pro-inflammatory innate immune responses early in pregnancy and impaired regulatory T (Treg) cell signaling. The analysis revealed additional novel immune responses that were strongly associated with, and preceded the onset of preeclampsia, notably abnormal STAT5ab signaling dynamics in CD4+T cell subsets (AUC 0.92, p = 8.0E-5). These results provide a global readout of the dynamics of the maternal immune system early in pregnancy and lay the groundwork for identifying clinically-relevant immune dysfunctions for the prediction and prevention of preeclampsia.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Preeclampsia / Embarazo Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Female / Humans / Pregnancy Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Preeclampsia / Embarazo Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Female / Humans / Pregnancy Idioma: En Año: 2019 Tipo del documento: Article