Single-cell RNA sequencing highlights a reduced function of natural killer and cytotoxic T cell in recovered COVID-19 pregnant women

Pregnancy is a complex phenomenon during which women undergo immense immunological change throughout this period. Having an infection with the SARS-CoV-2 virus leads to an additional burden on the highly stretched immune response. Some studies suggest that age-matched pregnant women are more prone to SARS-CoV-2 infection compared with normal healthy (non-pregnant) women, while alternative evidence proposed that pregnant women are neither susceptible nor develop severe symptoms. This discrepancy in different findings regarding the immune responses of pregnant women infected with SARS-CoV-2 virus is not well understood. In this study, we investigated how SARS-CoV-2 viral infection could modulate the immune landscape during the active infection phase and recovery in pregnant females. Using flow cytometry, we identified that intermediate effector CD8+ T cells were increased in pregnant women who had recovered from COVID-19 as opposed to those currently infected. Similarly, an increase in CD4+ T helper cells (early or late) during the recovered phase was observed during the recovery phase compared with infected pregnant women or healthy pregnant women, whilst infected pregnant women had a reduced number of late effector CD4+ T cells. CD3+CD4- CD8-NKT cells that diminished during active infection in contrast to healthy pregnant women were significant increase in recovered COVID-19 recovered pregnant women. Further, our single-cell RNA sequencing data revealed that infection of SARS-CoV-2 had changed the gene expression profile of monocytes, CD4+ effector cells and antibody producing B cells in convalescent as opposed to healthy pregnant women. Additionally, several genes with cytotoxic function, interferon signalling type I & II, and pro- and anti-inflammatory functions in natural killer cells and CD8+ cytotoxic T cells were compromised in recovered patients compared with healthy pregnant women. Overall, our study highlights that SARS-CoV-2 infection deranged the adaptive immune response in pregnant women and could be implicated in pregnancy complications in ongoing pregnancies.

[1]  A. Papageorghiou,et al.  Maternal and Neonatal Morbidity and Mortality Among Pregnant Women With and Without COVID-19 Infection , 2021, JAMA pediatrics.

[2]  G. Kampf The epidemiological relevance of the COVID-19-vaccinated population is increasing , 2021, The Lancet Regional Health - Europe.

[3]  D. Lauffenburger,et al.  Maternal SARS-CoV-2 infection elicits sexually dimorphic placental immune responses , 2021, Science Translational Medicine.

[4]  C. Coyne,et al.  Pregnancy influences immune responses to SARS-CoV-2 , 2021, Science Translational Medicine.

[5]  S. Subramanian,et al.  Increases in COVID-19 are unrelated to levels of vaccination across 68 countries and 2947 counties in the United States , 2021, European Journal of Epidemiology.

[6]  Kezhen Li,et al.  Immune Response to COVID-19 During Pregnancy , 2021, Frontiers in Immunology.

[7]  M. C. Muenker,et al.  Maternal respiratory SARS-CoV-2 infection in pregnancy is associated with a robust inflammatory response at the maternal-fetal interface , 2021, Med.

[8]  A. Wilder-Smith COVID-19 in comparison with other emerging viral diseases: risk of geographic spread via travel , 2021, Tropical Diseases, Travel Medicine and Vaccines.

[9]  O. Riess,et al.  SARS-CoV-2 infection paralyzes cytotoxic and metabolic functions of the immune cells , 2020, bioRxiv.

[10]  R. Gajbhiye,et al.  Universal screening identifies asymptomatic carriers of SARS-CoV-2 among pregnant women in India , 2020, European Journal of Obstetrics & Gynecology and Reproductive Biology.

[11]  B. Reinius,et al.  Natural killer cell immunotypes related to COVID-19 disease severity , 2020, Science Immunology.

[12]  Roland Eils,et al.  COVID-19 severity correlates with airway epithelium–immune cell interactions identified by single-cell analysis , 2020, Nature Biotechnology.

[13]  G. Lin,et al.  A comparison framework and guideline of clustering methods for mass cytometry data , 2019, Genome Biology.