Congenital SARS-CoV-2 Infection in Two Neonates with Confirmation by Viral Culture of the Placenta in One Case.
Joseph V VayalumkalAmuchou S SoraishamAyman Abou MehremAnirban GhoshJessica K E DunnKevin FonsecaHong ZhouByron M BerengerElaine S ChanMarie-Anne BrundlerYi-Chan LinDavid Hugh EvansSharon RoussoVerena KuretJohn M ConlyPublished in: Viruses (2023)
Congenital infections with SARS-CoV-2 are uncommon. We describe two confirmed congenital SARS-CoV-2 infections using descriptive, epidemiologic and standard laboratory methods and in one case, viral culture. Clinical data were obtained from health records. Nasopharyngeal (NP) specimens, cord blood and placentas when available were tested by reverse transcriptase real-time PCR (RT-PCR). Electron microscopy and histopathological examination with immunostaining for SARS-CoV-2 was conducted on the placentas. For Case 1, placenta, umbilical cord, and cord blood were cultured for SARS-CoV-2 on Vero cells. This neonate was born at 30 weeks, 2 days gestation by vaginal delivery. RT-PCR tests were positive for SARS-CoV-2 from NP swabs and cord blood; NP swab from the mother and placental tissue were positive for SARS-CoV-2. Placental tissue yielded viral plaques with typical morphology for SARS-CoV-2 at 2.8 × 10 2 pfu/mL confirmed by anti-spike protein immunostaining. Placental examination revealed chronic histiocytic intervillositis with trophoblast necrosis and perivillous fibrin deposition in a subchorionic distribution. Case 2 was born at 36 weeks, 4 days gestation. RT-PCR tests from the mother and infant were all positive for SARS-CoV-2, but placental pathology was normal. Case 1 may be the first described congenital case with SARS-CoV-2 cultivated directly from placental tissue.
Keyphrases
- sars cov
- cord blood
- respiratory syndrome coronavirus
- gestational age
- real time pcr
- healthcare
- umbilical cord
- mesenchymal stem cells
- public health
- induced apoptosis
- endothelial cells
- mental health
- oxidative stress
- cell proliferation
- signaling pathway
- machine learning
- single cell
- electron microscopy
- electronic health record
- climate change
- bone marrow
- drug induced
- health promotion