Evidence map›Paper›PMID 33758834›Full record

ArticleResearch square2021

Single-cell immunophenotyping of the fetal immune response to maternal SARS-CoV-2 infection in late gestation.

Juan Matute, Benjamin Finander, David Pepin, Xinbin Ai, Neal Smith, Jonathan Li, Andrea Edlow, Alexandra Villani, Paul Lerou, Brian Kalish

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Juan MatuteMassachusetts General Hospital and Harvard Medical School.ORCID 0000-0002-1703-8115
Benjamin FinanderBoston Children's Hospital and Harvard Medical School.
David PepinMassachusetts General Hospital.
Xinbin AiMassachusetts General Hospital and Harvard Medical School.
Neal SmithMassachusetts General Hospital and Harvard Medical School.
Jonathan LiHarvard Medical School.ORCID 0000-0001-9914-9662
Andrea EdlowMassachusetts General Hospital and Harvard Medical School.
Alexandra VillaniHarvard University.
Paul LerouMassachusetts General Hospital and Harvard Medical School.
Brian KalishThe Hospital for Sick Children and University of Toronto.
Harvard University · USBoston Children's Hospital · USHarvard University Press · USUniversity of Toronto · CA

Funding

Activity-Dependent Regulation of the Neuronal EpigenomeK08NS112338 · NINDS · HARVARD MEDICAL SCHOOL · PI KALISH, BRIAN · 2020 to 2020
$196k
NINDS NIH HHS K08 NS112338
6 · The paper itself

Abstract

During the COVID-19 pandemic, thousands of pregnant women have been infected with SARS-CoV-2. The implications of maternal SARS-CoV-2 infection on fetal and childhood well-being are unknown. We aimed to characterize the fetal immune response to maternal SARS-CoV-2 infection. We performed single-cell RNA sequencing and T-cell receptor (TCR) sequencing on cord blood mononuclear cells (CBMC) from newborns of mothers infected with SARS-CoV-2 in the third-trimester (cases) or without SARS-CoV-2 infection. We identified widespread gene expression changes in CBMC from cases, including upregulation of interferon-stimulated genes and Major Histocompatibility Complex genes in CD14 + monocytes; transcriptional changes suggestive of activation of plasmacytoid dendritic cells, and activation and exhaustion of NK cells and CD8 + T-cells. Lastly, we observed fetal TCR repertoire expansion in cases. As none of the infants were infected with SARS-CoV-2, our results suggest that SARS-CoV-2 maternal infection might modulate the fetal immune system in the absence of vertical transmission.

Identifiers

PMID33758834
PMCPMC7987103
OpenAlexW3213524116

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.