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Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences.
Campbell, Kyle A; Colacino, Justin A; Puttabyatappa, Muraly; Dou, John F; Elkin, Elana R; Hammoud, Saher S; Domino, Steven E; Dolinoy, Dana C; Goodrich, Jaclyn M; Loch-Caruso, Rita; Padmanabhan, Vasantha; Bakulski, Kelly M.
Afiliação
  • Campbell KA; Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Colacino JA; Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Puttabyatappa M; Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Dou JF; Pediatrics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Elkin ER; Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Hammoud SS; Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Domino SE; Human Genetics, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Dolinoy DC; Obstetrics and Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Goodrich JM; Department of Urology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Loch-Caruso R; Obstetrics and Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Padmanabhan V; Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Bakulski KM; Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Commun Biol ; 6(1): 264, 2023 03 13.
Article em En | MEDLINE | ID: mdl-36914823
ABSTRACT
The placenta mediates adverse pregnancy outcomes, including preeclampsia, which is characterized by gestational hypertension and proteinuria. Placental cell type heterogeneity in preeclampsia is not well-understood and limits mechanistic interpretation of bulk gene expression measures. We generated single-cell RNA-sequencing samples for integration with existing data to create the largest deconvolution reference of 19 fetal and 8 maternal cell types from placental villous tissue (n = 9 biological replicates) at term (n = 40,494 cells). We deconvoluted eight published microarray case-control studies of preeclampsia (n = 173 controls, 157 cases). Preeclampsia was associated with excess extravillous trophoblasts and fewer mesenchymal and Hofbauer cells. Adjustment for cellular composition reduced preeclampsia-associated differentially expressed genes (log2 fold-change cutoff = 0.1, FDR < 0.05) from 1154 to 0, whereas downregulation of mitochondrial biogenesis, aerobic respiration, and ribosome biogenesis were robust to cell type adjustment, suggesting direct changes to these pathways. Cellular composition mediated a substantial proportion of the association between preeclampsia and FLT1 (37.8%, 95% CI [27.5%, 48.8%]), LEP (34.5%, 95% CI [26.0%, 44.9%]), and ENG (34.5%, 95% CI [25.0%, 45.3%]) overexpression. Our findings indicate substantial placental cellular heterogeneity in preeclampsia contributes to previously observed bulk gene expression differences. This deconvolution reference lays the groundwork for cellular heterogeneity-aware investigation into placental dysfunction and adverse birth outcomes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Placenta / Pré-Eclâmpsia Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Placenta / Pré-Eclâmpsia Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article