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Deciphering maternal-fetal cross-talk in the human placenta during parturition using single-cell RNA sequencing.
Garcia-Flores, Valeria; Romero, Roberto; Tarca, Adi L; Peyvandipour, Azam; Xu, Yi; Galaz, Jose; Miller, Derek; Chaiworapongsa, Tinnakorn; Chaemsaithong, Piya; Berry, Stanley M; Awonuga, Awoniyi O; Bryant, David R; Pique-Regi, Roger; Gomez-Lopez, Nardhy.
Afiliación
  • Garcia-Flores V; Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, MD 20
  • Romero R; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
  • Tarca AL; Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, MD 20
  • Peyvandipour A; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, 48109, USA.
  • Xu Y; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA.
  • Galaz J; Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, MD 20
  • Miller D; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
  • Chaiworapongsa T; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI 48201, USA.
  • Chaemsaithong P; Department of Computer Science, Wayne State University College of Engineering, Detroit, MI 48201, USA.
  • Berry SM; Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, MD 20
  • Awonuga AO; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
  • Bryant DR; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI 48201, USA.
  • Pique-Regi R; Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, MD 20
  • Gomez-Lopez N; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Sci Transl Med ; 16(729): eadh8335, 2024 Jan 10.
Article en En | MEDLINE | ID: mdl-38198568
ABSTRACT
Labor is a complex physiological process requiring a well-orchestrated dialogue between the mother and fetus. However, the cellular contributions and communications that facilitate maternal-fetal cross-talk in labor have not been fully elucidated. Here, single-cell RNA sequencing (scRNA-seq) was applied to decipher maternal-fetal signaling in the human placenta during term labor. First, a single-cell atlas of the human placenta was established, demonstrating that maternal and fetal cell types underwent changes in transcriptomic activity during labor. Cell types most affected by labor were fetal stromal and maternal decidual cells in the chorioamniotic membranes (CAMs) and maternal and fetal myeloid cells in the placenta. Cell-cell interaction analyses showed that CAM and placental cell types participated in labor-driven maternal and fetal signaling, including the collagen, C-X-C motif ligand (CXCL), tumor necrosis factor (TNF), galectin, and interleukin-6 (IL-6) pathways. Integration of scRNA-seq data with publicly available bulk transcriptomic data showed that placenta-derived scRNA-seq signatures could be monitored in the maternal circulation throughout gestation and in labor. Moreover, comparative analysis revealed that placenta-derived signatures in term labor were mirrored by those in spontaneous preterm labor and birth. Furthermore, we demonstrated that early in gestation, labor-specific, placenta-derived signatures could be detected in the circulation of women destined to undergo spontaneous preterm birth, with either intact or prelabor ruptured membranes. Collectively, our findings provide insight into the maternal-fetal cross-talk of human parturition and suggest that placenta-derived single-cell signatures can aid in the development of noninvasive biomarkers for the prediction of preterm birth.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nacimiento Prematuro Tipo de estudio: Prognostic_studies Límite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: Sci Transl Med Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nacimiento Prematuro Tipo de estudio: Prognostic_studies Límite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: Sci Transl Med Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article