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1.
Preprint de Anglais | medRxiv | ID: ppmedrxiv-22275865

RÉSUMÉ

Both infection and vaccination, alone or in combination, generate antibody and T cell responses against SARSCoV2. However, the maintenance of such responses, and hence protection from disease, requires careful characterisation. In a large prospective study of UK healthcare workers (Protective immunity from T cells in Healthcare workers (PITCH), within the larger SARSCoV2 immunity and reinfection evaluation (SIREN) study) we previously observed that prior infection impacted strongly on subsequent cellular and humoral immunity induced after long and short dosing intervals of BNT162b2 (Pfizer/BioNTech) vaccination. Here, we report longer follow up of 684 HCWs in this cohort over 6-9 months following two doses of BNT162b2 or AZD1222 (Oxford/AstraZeneca) vaccination and up to 6 months following a subsequent mRNA booster vaccination. We make three observations: Firstly, the dynamics of humoral and cellular responses differ; binding and neutralising antibodies declined whereas T and memory B cell responses were maintained after the second vaccine dose. Secondly, vaccine boosting restored IgG levels, broadened neutralising activity against variants of concern including omicron BA.1, BA.2 and BA.5, and boosted T cell responses above the 6 month level post dose 2. Thirdly, prior infection maintained its impact driving larger as well as broader T cell responses compared with never-infected people, a feature maintained until 6 months after the third dose. In conclusion, broadly cross-reactive T cell responses are well maintained over time, especially in those with combined vaccine and infection-induced immunity (hybrid immunity), and may contribute to continued protection against severe disease.

2.
Preprint de Anglais | bioRxiv | ID: ppbiorxiv-492554

RÉSUMÉ

The Omicron lineage of SARS-CoV-2, first described in November 2021, spread rapidly to become globally dominant and has split into a number of sub-lineages. BA.1 dominated the initial wave but has been replaced by BA.2 in many countries. Recent sequencing from South Africas Gauteng region uncovered two new sub-lineages, BA.4 and BA.5 which are taking over locally, driving a new wave. BA.4 and BA.5 contain identical spike sequences and, although closely related to BA.2, contain further mutations in the receptor binding domain of spike. Here, we study the neutralization of BA.4/5 using a range of vaccine and naturally immune serum and panels of monoclonal antibodies. BA.4/5 shows reduced neutralization by serum from triple AstraZeneca or Pfizer vaccinated individuals compared to BA.1 and BA.2. Furthermore, using serum from BA.1 vaccine breakthrough infections there are likewise, significant reductions in the neutralization of BA.4/5, raising the possibility of repeat Omicron infections.

3.
Preprint de Anglais | medRxiv | ID: ppmedrxiv-21265384

RÉSUMÉ

IntroductionTools to detect SARS-Coronavirus-2 variants of concern and track the ongoing evolution of the virus are necessary to support public health efforts and the design and evaluation of novel COVID-19 therapeutics and vaccines. Although next-generation sequencing (NGS) has been adopted as the gold standard method for discriminating SARS-CoV-2 lineages, alternative methods may be required when processing samples with low viral loads or low RNA quality. MethodsAn allele-specific probe polymerase chain reaction (ASP-PCR) targeting lineage-specific single nucleotide polymorphisms (SNPs) was developed and used to screen 1,082 samples from two clinical trials in the United Kingdom and Brazil. Probit regression models were developed to compare ASP-PCR performance against 1,771 NGS results for the same cohorts. ResultsIndividual SNPs were shown to readily identify specific variants of concern. ASP-PCR was shown to discriminate SARS-CoV-2 lineages with a higher likelihood than NGS over a wide range of viral loads. Comparative advantage for ASP-PCR over NGS was most pronounced in samples with Ct values between 26-30 and in samples that showed evidence of degradation. Results for samples screened by ASP-PCR and NGS showed 99% concordant results. DiscussionASP-PCR is well-suited to augment but not replace NGS. The method can differentiate SARS-COV-2 lineages with high accuracy and would be best deployed to screen samples with lower viral loads or that may suffer from degradation. Future work should investigate further destabilization from primer:target base mismatch through altered oligonucleotide chemistry or chemical additives.

4.
Preprint de Anglais | medRxiv | ID: ppmedrxiv-21258528

RÉSUMÉ

BackgroundAlthough 6 COVID-19 vaccines have been approved by the World Health Organisation as of 16th June 2021, global supply remains limited. An understanding of the immune response associated with protection could facilitate rapid licensure of new vaccines. MethodsData from a randomised efficacy trial of ChAdOx1 nCoV-19 (AZD1222) vaccine in the UK was analysed to determine the antibody levels associated with protection against SARS-CoV-2. Anti-spike and anti-RBD IgG by multiplex immunoassay, pseudovirus and live neutralising antibody at 28 days after the second dose were measured in infected and non-infected vaccine recipients. Weighted generalised additive models for binary data were applied to symptomatic and asymptomatic SARS-CoV-2 infection data from ChAdOx1 nCoV-19 recipients. Cubic spline smoothed log antibody levels, and weights were applied to account for potential selection bias in sample processing. Models were adjusted for baseline risk of exposure to SARS-CoV-2 infection. ResultsHigher levels of all immune markers were correlated with a reduced risk of symptomatic infection. Vaccine efficacy of 80% against primary symptomatic COVID-19 was achieved with an antibody level of 40923 (95% CI: 16748, 125017) and 63383 (95% CI: 16903, not computed (NC)) for anti-spike and anti-RBD, and 185 (95% CI: NC, NC) and 247 (95% CI: 101, NC) for pseudo- and live-neutralisation assays respectively. Antibody responses did not correlate with overall protection against asymptomatic infection. ConclusionsCorrelates of protection can be used to bridge to new populations using validated assays. The data can be used to extrapolate efficacy estimates for new vaccines where large efficacy trials cannot be conducted. More work is needed to assess correlates for emerging variants.

5.
Preprint de Anglais | medRxiv | ID: ppmedrxiv-21259027

RÉSUMÉ

AZD1222 (ChAdOx1 nCoV-19), a replication-deficient simian adenovirus-vectored vaccine, has demonstrated safety, efficacy, and immunogenicity against coronavirus disease 2019 (COVID-19) in clinical trials and real-world studies. We characterized CD4+ and CD8+ T-cell responses induced by AZD1222 vaccination in peripheral blood mononuclear cells (PBMCs) from 280 unique vaccine recipients aged 18-85 years who enrolled in the phase 2/3 COV002 trial. Total spike-specific CD4+ T cell helper type 1 (Th1) and CD8+ T-cell responses were significantly increased in AZD1222-vaccinated adults of all ages following two doses of AZD1222. CD4+ Th2 responses following AZD1222 vaccination were not detected. Furthermore, AZD1222-specific Th1 and CD8+ T cells both displayed a high degree of polyfunctionality in all adult age groups. T-cell receptor (TCR) {beta} sequences from vaccinated participants mapped against TCR sequences known to react to SARS-CoV-2 revealed substantial breadth and depth across the SARS-CoV-2 spike protein for the AZD1222-induced CD4+ and CD8+ T-cell responses. Overall, AZD1222 vaccination induced a robust, polyfunctional Th1-dominated T-cell response, with broad CD4+ and CD8+ T-cell coverage across the SARS-CoV-2 spike protein. One Sentence SummaryPolyfunctional CD4+ and CD8+ T-cell responses are elicited against the SARS-CoV-2 spike protein following vaccination with AZD1222

6.
- The COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium; David J Ahern; Zhichao Ai; Mark Ainsworth; Chris Allan; Alice Allcock; Azim Ansari; Carolina V Arancibia-Carcamo; Dominik Aschenbrenner; Moustafa Attar; J. Kenneth Baillie; Eleanor Barnes; Rachael Bashford-Rogers; Archana Bashyal; Sally Beer; Georgina Berridge; Amy Beveridge; Sagida Bibi; Tihana Bicanic; Luke Blackwell; Paul Bowness; Andrew Brent; Andrew Brown; John Broxholme; David Buck; Katie L Burnham; Helen Byrne; Susana Camara; Ivan Candido Ferreira; Philip Charles; Wentao Chen; Yi-Ling Chen; Amanda Chong; Elizabeth Clutterbuck; Mark Coles; Christopher P Conlon; Richard Cornall; Adam P Cribbs; Fabiola Curion; Emma E Davenport; Neil Davidson; Simon Davis; Calliope Dendrou; Julie Dequaire; Lea Dib; James Docker; Christina Dold; Tao Dong; Damien Downes; Alexander Drakesmith; Susanna J Dunachie; David A Duncan; Chris Eijsbouts; Robert Esnouf; Alexis Espinosa; Rachel Etherington; Benjamin Fairfax; Rory Fairhead; Hai Fang; Shayan Fassih; Sally Felle; Maria Fernandez Mendoza; Ricardo Ferreira; Roman Fischer; Thomas Foord; Aden Forrow; John Frater; Anastasia Fries; Veronica Gallardo Sanchez; Lucy Garner; Clementine Geeves; Dominique Georgiou; Leila Godfrey; Tanya Golubchik; Maria Gomez Vazquez; Angie Green; Hong Harper; Heather A Harrington; Raphael Heilig; Svenja Hester; Jennifer Hill; Charles Hinds; Clare Hird; Ling-Pei Ho; Renee Hoekzema; Benjamin Hollis; Jim Hughes; Paula Hutton; Matthew Jackson; Ashwin Jainarayanan; Anna James-Bott; Kathrin Jansen; Katie Jeffery; Elizabeth Jones; Luke Jostins; Georgina Kerr; David Kim; Paul Klenerman; Julian C Knight; Vinod Kumar; Piyush Kumar Sharma; Prathiba Kurupati; Andrew Kwok; Angela Lee; Aline Linder; Teresa Lockett; Lorne Lonie; Maria Lopopolo; Martyna Lukoseviciute; Jian Luo; Spyridoula Marinou; Brian Marsden; Jose Martinez; Philippa Matthews; Michalina Mazurczyk; Simon McGowan; Stuart McKechnie; Adam Mead; Alexander J Mentzer; Yuxin Mi; Claudia Monaco; Ruddy Montadon; Giorgio Napolitani; Isar Nassiri; Alex Novak; Darragh O'Brien; Daniel O'Connor; Denise O'Donnell; Graham Ogg; Lauren Overend; Inhye Park; Ian Pavord; Yanchun Peng; Frank Penkava; Mariana Pereira Pinho; Elena Perez; Andrew J Pollard; Fiona Powrie; Bethan Psaila; T. Phuong Quan; Emmanouela Repapi; Santiago Revale; Laura Silva-Reyes; Jean-Baptiste Richard; Charlotte Rich-Griffin; Thomas Ritter; Christine S Rollier; Matthew Rowland; Fabian Ruehle; Mariolina Salio; Stephen N Sansom; Alberto Santos Delgado; Tatjana Sauka-Spengler; Ron Schwessinger; Giuseppe Scozzafava; Gavin Screaton; Anna Seigal; Malcolm G Semple; Martin Sergeant; Christina Simoglou Karali; David Sims; Donal Skelly; Hubert Slawinski; Alberto Sobrinodiaz; Nikolaos Sousos; Lizzie Stafford; Lisa Stockdale; Marie Strickland; Otto Sumray; Bo Sun; Chelsea Taylor; Stephen Taylor; Adan Taylor; Supat Thongjuea; Hannah Thraves; John A Todd; Adriana Tomic; Orion Tong; Amy Trebes; Dominik Trzupek; Felicia A Tucci; Lance Turtle; Irina Udalova; Holm Uhlig; Erinke van Grinsven; Iolanda Vendrell; Marije Verheul; Alexandru Voda; Guanlin Wang; Lihui Wang; Dapeng Wang; Peter Watkinson; Robert Watson; Michael Weinberger; Justin Whalley; Lorna Witty; Katherine Wray; Luzheng Xue; Hing Yuen Yeung; Zixi Yin; Rebecca K Young; Jonathan Youngs; Ping Zhang; Yasemin-Xiomara Zurke.
Preprint de Anglais | medRxiv | ID: ppmedrxiv-21256877

RÉSUMÉ

Treatment of severe COVID-19 is currently limited by clinical heterogeneity and incomplete understanding of potentially druggable immune mediators of disease. To advance this, we present a comprehensive multi-omic blood atlas in patients with varying COVID-19 severity and compare with influenza, sepsis and healthy volunteers. We identify immune signatures and correlates of host response. Hallmarks of disease severity revealed cells, their inflammatory mediators and networks as potential therapeutic targets, including progenitor cells and specific myeloid and lymphocyte subsets, features of the immune repertoire, acute phase response, metabolism and coagulation. Persisting immune activation involving AP-1/p38MAPK was a specific feature of COVID-19. The plasma proteome enabled sub-phenotyping into patient clusters, predictive of severity and outcome. Tensor and matrix decomposition of the overall dataset revealed feature groupings linked with disease severity and specificity. Our systems-based integrative approach and blood atlas will inform future drug development, clinical trial design and personalised medicine approaches for COVID-19.

7.
Preprint de Anglais | bioRxiv | ID: ppbiorxiv-435194

RÉSUMÉ

Terminating the SARS-CoV-2 pandemic relies upon pan-global vaccination. Current vaccines elicit neutralizing antibody responses to the virus spike derived from early isolates. However, new strains have emerged with multiple mutations: P.1 from Brazil, B.1.351 from South Africa and B.1.1.7 from the UK (12, 10 and 9 changes in the spike respectively). All have mutations in the ACE2 binding site with P.1 and B.1.351 having a virtually identical triplet: E484K, K417N/T and N501Y, which we show confer similar increased affinity for ACE2. We show that, surprisingly, P.1 is significantly less resistant to naturally acquired or vaccine induced antibody responses than B.1.351 suggesting that changes outside the RBD impact neutralisation. Monoclonal antibody 222 neutralises all three variants despite interacting with two of the ACE2 binding site mutations, we explain this through structural analysis and use the 222 light chain to largely restore neutralization potency to a major class of public antibodies.

8.
Preprint de Anglais | medRxiv | ID: ppmedrxiv-20205831

RÉSUMÉ

Serological detection of antibodies to SARS-CoV-2 is essential for establishing rates of seroconversion in populations, detection of seroconversion after vaccination, and for seeking evidence for a level of antibody that may be protective against COVID-19 disease. Several high-performance commercial tests have been described, but these require centralised laboratory facilities that are comparatively expensive, and therefore not available universally. Red cell agglutination tests have a long history in blood typing, and general serology through linkage of reporter molecules to the red cell surface. They do not require special equipment, are read by eye, have short development times, low cost and can be applied as a Point of Care Test (POCT). We describe a red cell agglutination test for the detection of antibodies to the SARS-CoV-2 receptor binding domain (RBD). We show that the Haemagglutination Test ("HAT") has a sensitivity of 90% and specificity of 99% for detection of antibodies after a PCR diagnosed infection. The HAT can be titrated, detects rising titres in the first five days of hospital admission, correlates well with a commercial test that detects antibodies to the RBD, and can be applied as a point of care test. The developing reagent is composed of a previously described nanobody to a conserved glycophorin A epitope on red cells, linked to the RBD from SARS-CoV-2. It can be lyophilised for ease of shipping. We have scaled up production of this reagent to one gram, which is sufficient for ten million tests, at a cost of [~]0.27 UK pence per test well. Aliquots of this reagent are ready to be supplied to qualified groups anywhere in the world that need to detect antibodies to SARS-CoV-2, but do not have the facilities for high throughput commercial tests.

9.
Preprint de Anglais | medRxiv | ID: ppmedrxiv-20105486

RÉSUMÉ

BackgroundLaboratory diagnosis of SARS-CoV-2 infection (the cause of COVID-19) uses PCR to detect viral RNA (vRNA) in respiratory samples. SARS-CoV-2 RNA has also been detected in other sample types, but there is limited understanding of the clinical or laboratory significance of its detection in blood. MethodsWe undertook a systematic literature review to assimilate the evidence for the frequency of vRNA in blood, and to identify associated clinical characteristics. We performed RT-PCR in serum samples from a UK clinical cohort of acute and convalescent COVID-19 cases (n=212), together with convalescent plasma samples collected by NHS Blood and Transplant (NHSBT) (n=111 additional samples). To determine whether PCR-positive blood samples could pose an infection risk, we attempted virus isolation from a subset of RNA-positive samples. ResultsWe identified 28 relevant studies, reporting SARS-CoV-2 RNA in 0-76% of blood samples; pooled estimate 10% (95%CI 5-18%). Among serum samples from our clinical cohort, 27/212 (12.7%) had SARS-CoV-2 RNA detected by RT-PCR. RNA detection occurred in samples up to day 20 post symptom onset, and was associated with more severe disease (multivariable odds ratio 7.5). Across all samples collected [≥]28 days post symptom onset, 0/143 (0%, 95%CI 0.0-2.5%) had vRNA detected. Among our PCR-positive samples, cycle threshold (ct) values were high (range 33.5-44.8), suggesting low vRNA copy numbers. PCR-positive sera inoculated into cell culture did not produce any cytopathic effect or yield an increase in detectable SARS-CoV-2 RNA. ConclusionsvRNA was detectable at low viral loads in a minority of serum samples collected in acute infection, but was not associated with infectious SARS-CoV-2 (within the limitations of the assays used). This work helps to inform biosafety precautions for handling blood products from patients with current or previous COVID-19.

10.
Preprint de Anglais | medRxiv | ID: ppmedrxiv-20066407

RÉSUMÉ

BackgroundThe COVID-19 pandemic caused >1 million infections during January-March 2020. There is an urgent need for reliable antibody detection approaches to support diagnosis, vaccine development, safe release of individuals from quarantine, and population lock-down exit strategies. We set out to evaluate the performance of ELISA and lateral flow immunoassay (LFIA) devices. MethodsWe tested plasma for COVID (SARS-CoV-2) IgM and IgG antibodies by ELISA and using nine different LFIA devices. We used a panel of plasma samples from individuals who have had confirmed COVID infection based on a PCR result (n=40), and pre-pandemic negative control samples banked in the UK prior to December-2019 (n=142). ResultsELISA detected IgM or IgG in 34/40 individuals with a confirmed history of COVID infection (sensitivity 85%, 95%CI 70-94%), vs. 0/50 pre-pandemic controls (specificity 100% [95%CI 93-100%]). IgG levels were detected in 31/31 COVID-positive individuals tested [≥]10 days after symptom onset (sensitivity 100%, 95%CI 89-100%). IgG titres rose during the 3 weeks post symptom onset and began to fall by 8 weeks, but remained above the detection threshold. Point estimates for the sensitivity of LFIA devices ranged from 55-70% versus RT-PCR and 65-85% versus ELISA, with specificity 95-100% and 93-100% respectively. Within the limits of the study size, the performance of most LFIA devices was similar. ConclusionsCurrently available commercial LFIA devices do not perform sufficiently well for individual patient applications. However, ELISA can be calibrated to be specific for detecting and quantifying SARS-CoV-2 IgM and IgG and is highly sensitive for IgG from 10 days following first symptoms.

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