Evidence map›Paper›PMID 33791723›Full record

ArticlemedRxiv : the preprint server for health sciences2021

T-cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibody titers and disease severity.

Rebecca Elyanow, Thomas M Snyder, Sudeb C Dalai, Rachel M Gittelman, Jim Boonyaratanakornkit, Anna Wald, Stacy Selke, Mark H Wener, Chihiro Morishima, Alex L Greninger and 8 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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, 10 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 4 institutions in 1 country.

Rebecca ElyanowAdaptive Biotechnologies, Seattle, Washington, USA.
Thomas M SnyderAdaptive Biotechnologies, Seattle, Washington, USA.
Sudeb C DalaiAdaptive Biotechnologies, Seattle, Washington, USA.
Rachel M GittelmanAdaptive Biotechnologies, Seattle, Washington, USA.
Jim BoonyaratanakornkitDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Anna WaldDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Stacy SelkeDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Mark H WenerDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.
Chihiro MorishimaDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Alex L GreningerDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Michael R HolbrookNational Institute of Allergy and Infectious Diseases Integrated Research Facility, Frederick, Maryland, USA.
Ian M KaplanAdaptive Biotechnologies, Seattle, Washington, USA.
H Jabran ZahidMicrosoft Research, Redmond, Washington, USA.
Jonathan M CarlsonMicrosoft Research, Redmond, Washington, USA.
Lance BaldoAdaptive Biotechnologies, Seattle, Washington, USA.
Thomas ManleyAdaptive Biotechnologies, Seattle, Washington, USA.
Harlan S RobinsAdaptive Biotechnologies, Seattle, Washington, USA.
David M KoelleDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Adaptive Biotechnologies (United States) · USUniversity of Washington · USMicrosoft (United States) · USNational Institute of Allergy and Infectious Diseases · US

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
Large Scale T Cell Epitope Discovery: Local and Systemic T cell Response to Herpes Simplex Virus75N93019C00063 · NIAID · UNIVERSITY OF WASHINGTON · PI MYER, TIM · 2019 to 2023
$5.5M
NCI NIH HHS 75N91019D00024NIAID NIH HHS 75N93019C00063NIAID NIH HHS HHSN272201800013C
6 · The paper itself

Abstract

Measuring the adaptive immune response to SARS-CoV-2 can enable the assessment of past infection as well as protective immunity and the risk of reinfection. While neutralizing antibody (nAb) titers are one measure of protection, such assays are challenging to perform at a large scale and the longevity of the SARS-CoV-2 nAb response is not fully understood. Here, we apply a T-cell receptor (TCR) sequencing assay that can be performed on a small volume standard blood sample to assess the adaptive T-cell response to SARS-CoV-2 infection. Samples were collected from a cohort of 302 individuals recovered from COVID-19 up to 6 months after infection. Previously published findings in this cohort showed that two commercially available SARS-CoV-2 serologic assays correlate well with nAb testing. We demonstrate that the magnitude of the SARS-CoV-2-specific T-cell response strongly correlates with nAb titer, as well as clinical indicators of disease severity including hospitalization, fever, or difficulty breathing. While the depth and breadth of the T-cell response declines during convalescence, the T-cell signal remains well above background with high sensitivity up to at least 6 months following initial infection. Compared to serology tests detecting binding antibodies to SARS-CoV-2 spike and nucleoprotein, the overall sensitivity of the TCR-based assay across the entire cohort and all timepoints was approximately 5% greater for identifying prior SARS-CoV-2 infection. Notably, the improved performance of T-cell testing compared to serology was most apparent in recovered individuals who were not hospitalized and were sampled beyond 150 days of their initial illness, suggesting that antibody testing may have reduced sensitivity in individuals who experienced less severe COVID-19 illness and at later timepoints. Finally, T-cell testing was able to identify SARS-CoV-2 infection in 68% (55/81) of convalescent samples having nAb titers below the lower limit of detection, as well as 37% (13/35) of samples testing negative by all three antibody assays. These results demonstrate the utility of a TCR-based assay as a scalable, reliable measure of past SARS-CoV-2 infection across a spectrum of disease severity. Additionally, the TCR repertoire may be useful as a surrogate for protective immunity with additive clinical value beyond serologic or nAb testing methods.

Identifiers

PMID33791723
PMCPMC8010755
OpenAlexW3136947871

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.