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Placental Cell Type Deconvolution Reveals That Cell Proportions Drive Preeclampsia Gene Expression Differences



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  • Personal Author:
  • Description:
    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. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    2399-3642
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Volume:
    6
  • NIOSHTIC Number:
    nn:20070606
  • Citation:
    Commun Biol 2023 Mar; 6:264
  • Contact Point Address:
    Kelly M. Bakulski, Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
  • Email:
    bakulski@umich.edu
  • Federal Fiscal Year:
    2023
  • Performing Organization:
    University of Michigan, Ann Arbor
  • Peer Reviewed:
    True
  • Start Date:
    20050701
  • Source Full Name:
    Communications Biology
  • End Date:
    20280630
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:1d1cae89e7cc5db7e9173d82417125ea4a0f86eae714fe10418719e4589a2f92f7d24056e561fe1593f34d99d6929fda343c0a3c8fd99823904b6f064873e4ec
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  • File Type:
    Filetype[PDF - 3.03 MB ]
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