Evidence map›Paper›PMID 32577665›Full record

ArticlebioRxiv : the preprint server for biology2020

Broad and strong memory CD4

Yanchun Peng, Alexander J Mentzer, Guihai Liu, Xuan Yao, Zixi Yin, Danning Dong, Wanwisa Dejnirattisai, Timothy Rostron, Piyada Supasa, Chang Liu and 50 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 95 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

60 authors at 13 institutions in 2 countries.

Yanchun Peng
Alexander J Mentzer
Guihai Liu
Xuan Yao
Zixi Yin
Danning Dong
Wanwisa Dejnirattisai
Timothy Rostron
Piyada Supasa
Chang Liu
Cesar Lopez-Camacho
Jose Slon-Campos
Yuguang Zhao
Guido Paeson
Jonathan Grimes
Fred Antson
Oliver W BayfieldORCID 0000-0003-1421-7780
Dorothy Edp Hawkins
De-Sheng Ker
Lance Turtle
Krishanthi Subramaniam
Paul Thomson
Ping Zhang
Christina Dold
Jeremy Ratcliff
Peter Simmonds
Paul Sopp
Dannielle Wellington
Ushani Rajapaksa
Yi-Ling Chen
Mariolina Salio
Giorgio Napolitani
Wayne Paes
Persephone BorrowORCID 0000-0002-3877-9780
Benedikt Kessler
Jeremy W Fry
Nikolai F Schwabe
Malcolm G Semple
Kenneth J BaillieORCID 0000-0001-5258-793X
Shona Moore
Peter Jm Openshaw
Azim Ansari
Susanna Dunachie
Ellie Barnes
Georgina Kerr
Philip Goulder
Teresa Lockett
Robert Levin
Richard J Cornall
Chris Conlon
Paul Klenerman
Andrew McMichael
Gavin Screaton
Juthathip Mongkolsapaya
Julian C Knight
Graham Ogg
University of Oxford · GBMRC Human Immunology Unit · GBUniversity of Liverpool · GBUniversity of York · GBCentre for Human Genetics · GBProImmune (United Kingdom) · GBCapital Medical University · CNImperial College London · GBNIHR Research Delivery Network · GBUniversity of Edinburgh · GBUniversity of Sheffield · GBWorthing Hospital · GBXinjiang Medical University · CN

Funding

Medical Research Council MC_PC_19025Medical Research Council MC_PC_19059Medical Research Council MR/L018942/1Wellcome Trust 109965/Z/15/ZWellcome Trust 206377/Z/17/Z
6 · The paper itself

Abstract

COVID-19 is an ongoing global crisis in which the development of effective vaccines and therapeutics will depend critically on understanding the natural immunity to the virus, including the role of SARS-CoV-2-specific T cells. We have conducted a study of 42 patients following recovery from COVID-19, including 28 mild and 14 severe cases, comparing their T cell responses to those of 16 control donors. We assessed the immune memory of T cell responses using IFNγ based assays with overlapping peptides spanning SARS-CoV-2 apart from ORF1. We found the breadth, magnitude and frequency of memory T cell responses from COVID-19 were significantly higher in severe compared to mild COVID-19 cases, and this effect was most marked in response to spike, membrane, and ORF3a proteins. Total and spike-specific T cell responses correlated with the anti-Spike, anti-Receptor Binding Domain (RBD) as well as anti-Nucleoprotein (NP) endpoint antibody titre (p<0.001, <0.001 and =0.002). We identified 39 separate peptides containing CD4

Identifiers

PMID32577665
PMCPMC7302222
OpenAlexW3033726766

What OpenQuestion holds

Textmetadata
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.