4.7 Article

Single-cell transcriptomic profiling unveils dysregulation of cardiac progenitor cells and cardiomyocytes in a mouse model of maternal hyperglycemia

Journal

COMMUNICATIONS BIOLOGY
Volume 5, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s42003-022-03779-x

Keywords

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Funding

  1. American Heart Association and Children's Heart Foundation Career Development Award [18CDA34110330]
  2. National Institutes of Health/National Heart Lung and Blood Institute [R01HL144009]
  3. Postdoctoral Fellowship award [T32HL098039]
  4. Diabetes Research Connection

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Congenital heart disease (CHD) is a common birth defect linked to genetic variations and environmental exposures. Maternal pregestational diabetes is associated with an increased risk of CHD in offspring, but the causal mechanisms in early embryonic development are poorly understood. This study used a mouse model to uncover the transcriptional responses in developing hearts exposed to maternal hyperglycemia (matHG) and found that matHG affects cardiomyocyte differentiation and the expression of lineage-specific genes, increasing the risk of CHD.
Congenital heart disease (CHD) is the most prevalent birth defect, often linked to genetic variations, environmental exposures, or combination of both. Epidemiological studies reveal that maternal pregestational diabetes is associated with similar to 5-fold higher risk of CHD in the offspring; however, the causal mechanisms affecting cardiac gene-regulatory-network (GRN) during early embryonic development remain poorly understood. In this study, we utilize an established murine model of pregestational diabetes to uncover the transcriptional responses in key cell-types of the developing heart exposed to maternal hyperglycemia (matHG). Here we show that matHG elicits diverse cellular responses in E9.5 and E11.5 embryonic hearts compared to non-diabetic hearts by single-cell RNA-sequencing. Through differential-gene-expression and cellular trajectory analyses, we identify perturbations in genes, predominantly affecting Isl1(+) second heart field progenitors and Tnnt2(+) cardiomyocytes with matHG. Using cell-fate mapping analysis in Isl1-lineage descendants, we demonstrate that matHG impairs cardiomyocyte differentiation and alters the expression of lineage-specifying cardiac genes. Finally, our work reveals matHG-mediated transcriptional changes in second heart field lineage that elevate CHD risk by perturbing Isl1-GRN during cardiomyocyte differentiation. Gene-environment interaction studies targeting the Isl1-GRN in cardiac progenitor cells will have a broader impact on understanding the mechanisms of matHG-induced risk of CHD associated with diabetic pregnancies.

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