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1.
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.10.15.23295628

ABSTRACT

In the coronavirus efficacy (COVE) phase 3 efficacy trial of the mRNA-1273 vaccine, IgG binding antibody (bAb) concentration against Spike (BA.1 strain) and neutralizing antibody (nAb) titer against Spike (BA.1 strain) pseudovirus were assessed as correlates of risk of Omicron COVID-19 and as correlates of relative boost efficacy in per-protocol recipients of a third (booster) dose. Markers were measured on the day of the boost (BD1) and 28 days later (BD29). For SARS-CoV-2 naive individuals, BD29 Spike IgG-BA.1 strain bAbs and BD29 BA.1-strain nAbs inversely correlated with Omicron COVID-19: hazard ratio (HR) per 10-fold marker increase [95% confidence interval (CI)] = 0.16 (0.03, 0.79); P=0.024 and 0.31 (0.10, 0.96); P = 0.042, respectively. These markers also inversely correlated with Omicron COVID-19 in non-naive individuals: HR = 0.15 (0.04, 0.63); P = 0.009 and 0.28 (0.07, 1.08); P = 0.06, trend. Fold-rise in markers from BD1 to BD29 had similarly strong inverse correlations. For SARS-CoV-2 naive individuals, overall booster relative (three-dose vs two-dose) efficacy was 46% (95% CI: 20%, 64%) and correlated with BA.1 strain nAb titer at exposure. At 56, 251, and 891 arbitrary units (AU)/ml (10th, 50th, and 90th percentile), the booster relative efficacies were -8% (95% CI: -126%, 48%), 50% (25%, 67%), and 74% (49%, 87%), respectively. Similar relationships were observed for Spike IgG-BA.1 strain bAbs and for the markers measured at BD29. The performance of bAb and nAb markers as correlates of protection against Omicron COVID-19 supports their continued use as surrogate endpoints for mRNA vaccination against Omicron COVID-19.


Subject(s)
COVID-19
2.
researchsquare; 2023.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-2653179.v1

ABSTRACT

Vaccine protection against COVID-19 wanes over time and has been impacted by the emergence of new variants with increasing escape of neutralization. The COVID-19 Variant Immunologic Landscape (COVAIL) randomized clinical trial (clinicaltrials.gov NCT 05289037) compares the breadth, magnitude and durability of antibody responses induced by a second COVID-19 vaccine boost with mRNA (Moderna mRNA-1273 and Pfizer-BioNTech BNT162b2), or adjuvanted recombinant protein (Sanofi CoV2 preS DTM-AS03) monovalent or bivalent vaccine candidates targeting ancestral and variant SARS-CoV-2 spike antigens (Beta, Delta and Omicron BA.1). We found that boosting with a variant strain is not associated with loss in neutralization against the ancestral strain. However, while variant vaccines compared to the prototype/wildtype vaccines demonstrated higher neutralizing activity against Omicron BA.1 and BA.4/5 subvariants for up to 3 months after vaccination, neutralizing activity was lower for more recent Omicron subvariants. Our study, incorporating both antigenic distances and serologic landscapes, can provide a framework for objectively guiding decisions for future vaccine updates.


Subject(s)
COVID-19
3.
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.01.31.23285306

ABSTRACT

The emergence of Omicron subvariants and waning immunity to initial vaccine regimens led to the authorization of updated SARS-CoV-2 bivalent vaccines containing wildtype with either Omicron BA.1 or BA.4/5. Here, we compare early serologic responses from a randomized clinical trial of a second boost with either the Pfizer/BioNTech BNT162b2 (30 mcg dose) Wildtype/Omicron BA.1 or Wildtype/Omicron BA.4/5 vaccines against homologous and heterologous strains including contemporary Omicron subvariants BQ.1.1 and XBB.1.

4.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.07.12.22277336

ABSTRACT

Background: Protection from SARS-CoV-2 vaccines wanes over time and is compounded by emerging variants including Omicron subvariants. This study evaluated safety and immunogenicity of SARS-CoV-2 variant vaccines. Methods: This phase 2 open-label, randomized trial enrolled healthy adults previously vaccinated with a SARS-CoV-2 primary series and a single boost. Eligible participants were randomized to one of six Moderna COVID19 mRNA vaccine arms (50 mcg dose): Prototype (mRNA-1273), Omicron BA.1+Beta (1 or 2 doses), Omicron BA.1+Delta, Omicron BA.1 monovalent, and Omicron BA.1+Prototype. Neutralization antibody titers (ID50) were assessed for D614G, Delta, Beta and Omicron BA.1 variants and Omicron BA.2.12.1 and BA.4/BA.5 subvariants 15 days after vaccination. Results: From March 30 to May 6, 2022, 597 participants were randomized and vaccinated. Median age was 53 years, and 20% had a prior SARS-CoV-2 infection. All vaccines were safe and well-tolerated. Day 15 geometric mean titers (GMT) against D614G were similar across arms and ages, and higher with prior infection. For uninfected participants, Day 15 Omicron BA.1 GMTs were similar across Omicron-containing vaccine arms (3724-4561) and higher than Prototype (1,997 [95%CI:1,482-2,692]). The Omicron BA.1 monovalent and Omicron BA.1+Prototype vaccines induced a geometric mean ratio (GMR) to Prototype for Omicron BA.1 of 2.03 (97.5%CI:1.37-3.00) and 1.56 (97.5%CI:1.06-2.31), respectively. A subset of samples from uninfected participants in four arms were also tested in a different laboratory at Day 15 for neutralizing antibody titers to D614G and Omicron subvariants BA.1, BA.2.12.2 and BA.4/BA.5. Omicron BA.4/BA.5 GMTs were approximately one third BA.1 GMTs (Prototype 517 [95%CI:324-826] vs. 1503 [95%CI:949-2381]; Omicron BA.1+Beta 628 [95%CI:367-1,074] vs. 2125 [95%CI:1139-3965]; Omicron BA.1+Delta 765 [95%CI:443-1,322] vs. 2242 [95%CI:1218-4128] and Omicron BA.1+Prototype 635 [95%CI:447-903] vs. 1972 [95%CI:1337-2907). Conclusions: Higher Omicron BA.1 titers were observed with Omicron-containing vaccines compared to Prototype vaccine and titers against Omicron BA.4/BA.5 were lower than against BA.1 for all candidate vaccines. Clinicaltrials.gov: NCT05289037


Subject(s)
Infections , COVID-19
5.
- IMPACC group; Al Ozonoff; Joanna Schaenman; Naresh Doni Jayavelu; Carly E. Milliren; Carolyn S. Calfee; Charles B. Cairns; Monica Kraft; Lindsey R. Baden; Albert C. Shaw; Florian Krammer; Harm Van Bakel; Denise Esserman; Shanshan Liu; Ana Fernandez Sesma; Viviana Simon; David A. Hafler; Ruth R. Montgomery; Steven H. Kleinstein; Ofer Levy; Christian Bime; Elias K. Haddad; David J. Erle; Bali Pulendran; Kari C. Nadeau; Mark M. Davis; Catherine L. Hough; William B. Messer; Nelson I. Agudelo Higuita; Jordan P. Metcalf; Mark A. Atkinson; Scott C. Brakenridge; David B. Corry; Farrah Kheradmand; Lauren I. R. Ehrlich; Esther Melamed; Grace A. McComsey; Rafick Sekaly; Joann Diray-Arce; Bjoern Peters; Alison D. Augustine; Elaine F. Reed; Kerry McEnaney; Brenda Barton; Claudia Lentucci; Mehmet Saluvan; Ana C. Chang; Annmarie Hoch; Marisa Albert; Tanzia Shaheen; Alvin Kho; Sanya Thomas; Jing Chen; Maimouna D. Murphy; Mitchell Cooney; Scott Presnell; Leying Guan; Jeremy Gygi; Shrikant Pawar; Anderson Brito; Zain Khalil; James A. Overton; Randi Vita; Kerstin Westendorf; Cole Maguire; Slim Fourati; Ramin Salehi-Rad; Aleksandra Leligdowicz; Michael Matthay; Jonathan Singer; Kirsten N. Kangelaris; Carolyn M. Hendrickson; Matthew F. Krummel; Charles R. Langelier; Prescott G. Woodruff; Debra L. Powell; James N. Kim; Brent Simmons; I.Michael Goonewardene; Cecilia M. Smith; Mark Martens; Jarrod Mosier; Hiroki Kimura; Amy Sherman; Stephen Walsh; Nicolas Issa; Charles Dela Cruz; Shelli Farhadian; Akiko Iwasaki; Albert I. Ko; Evan J. Anderson; Aneesh Mehta; Jonathan E. Sevransky; Sharon Chinthrajah; Neera Ahuja; Angela Rogers; Maja Artandi; Sarah A.R. Siegel; Zhengchun Lu; Douglas A. Drevets; Brent R. Brown; Matthew L. Anderson; Faheem W. Guirgis; Rama V. Thyagarajan; Justin Rousseau; Dennis Wylie; Johanna Busch; Saurin Gandhi; Todd A. Triplett; George Yendewa; Olivia Giddings; Tatyana Vaysman; Bernard Khor; Adeeb Rahman; Daniel Stadlbauer; Jayeeta Dutta; Hui Xie; Seunghee Kim-Schulze; Ana Silvia Gonzalez-Reiche; Adriana van de Guchte; Holden T. Maecker; Keith Farrugia; Zenab Khan; Joanna Schaenman; Elaine F. Reed; Ramin Salehi-Rad; David Elashoff; Jenny Brook; Estefania Ramires-Sanchez; Megan Llamas; Adreanne Rivera; Claudia Perdomo; Dawn C. Ward; Clara E. Magyar; Jennifer Fulcher; Yumiko Abe-Jones; Saurabh Asthana; Alexander Beagle; Sharvari Bhide; Sidney A. Carrillo; Suzanna Chak; Rajani Ghale; Ana Gonzales; Alejandra Jauregui; Norman Jones; Tasha Lea; Deanna Lee; Raphael Lota; Jeff Milush; Viet Nguyen; Logan Pierce; Priya Prasad; Arjun Rao; Bushra Samad; Cole Shaw; Austin Sigman; Pratik Sinha; Alyssa Ward; Andrew - Willmore; Jenny Zhan; Sadeed Rashid; Nicklaus Rodriguez; Kevin Tang; Luz Torres Altamirano; Legna Betancourt; Cindy Curiel; Nicole Sutter; Maria Tercero Paz; Gayelan Tietje-Ulrich; Carolyn Leroux; Jennifer Connors; Mariana Bernui; Michele Kutzler; Carolyn Edwards; Edward Lee; Edward Lin; Brett Croen; Nicholas Semenza; Brandon Rogowski; Nataliya Melnyk; Kyra Woloszczuk; Gina Cusimano; Matthew Bell; Sara Furukawa; Renee McLin; Pamela Marrero; Julie Sheidy; George P. Tegos; Crystal Nagle; Nathan Mege; Kristen Ulring; Vicki Seyfert-Margolis; Michelle Conway; Dave Francisco; Allyson Molzahn; Heidi Erickson; Connie Cathleen Wilson; Ron Schunk; Trina Hughes; Bianca Sierra; Kinga K. Smolen; Michael Desjardins; Simon van Haren; Xhoi Mitre; Jessica Cauley; Xiofang Li; Alexandra Tong; Bethany Evans; Christina Montesano; Jose Humberto Licona; Jonathan Krauss; Jun Bai Park Chang; Natalie Izaguirre; Omkar Chaudhary; Andreas Coppi; John Fournier; Subhasis Mohanty; M. Catherine Muenker; Allison Nelson; Khadir Raddassi; Michael Rainone; William Ruff; Syim Salahuddin; Wade L. Schulz; Pavithra Vijayakumar; Haowei Wang; Elsio Wunder Jr.; H. Patrick Young; Yujiao Zhao; Miti Saksena; Deena Altman; Erna Kojic; Komal Srivastava; Lily Q. Eaker; Maria Carolina Bermudez; Katherine F. Beach; Levy A. Sominsky; Arman Azad; Juan Manuel Carreno; Gagandeep Singh; Ariel Raskin; Johnstone Tcheou; Dominika Bielak; Hisaaki Kawabata; Lubbertus CF Mulder; Giulio Kleiner; Laurel Bristow; Laila Hussaini; Kieffer Hellmeister; Hady Samaha; Andrew Cheng; Christine Spainhour; Erin M. Scherer; Brandi Johnson; Amer Bechnak; Caroline R. Ciric; Lauren Hewitt; Bernadine Panganiban; Chistopher Huerta; Jacob Usher; Erin Carter; Nina Mcnair; Susan Pereira Ribeiro; Alexandra S. Lee; Evan Do; Andrea Fernandes; Monali Manohar; Thomas Hagan; Catherine Blish; Hena Naz Din; Jonasel Roque; Samuel S. Yang; Amanda E. Brunton; Peter E. Sullivan; Matthew Strnad; Zoe L. Lyski; Felicity J. Coulter; John L. Booth; Lauren A. Sinko; Lyle Moldawer; Brittany Borrensen; Brittney Roth-Manning; Li-Zhen Song; Ebony Nelson; Megan Lewis-Smith; Jacob Smith; Pablo Guaman Tipan; Nadia Siles; Sam Bazzi; Janelle Geltman; Kerin Hurley; Giovanni Gabriele; Scott Sieg; Matthew C. Altman; Patrice M. Becker; Nadine Rouphael.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.07.02.22273396

ABSTRACT

Background: Better understanding of the association between characteristics of patients hospital-ized with coronavirus disease 2019 (COVID-19) and outcome is needed to further improve upon patient management. Methods: Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC) is a prospective, observational study of 1,164 patients from 20 hospitals across the United States. Disease severi-ty was assessed using a 7-point ordinal scale based on degree of respiratory illness. Patients were prospectively surveyed for 1 year after discharge for post-acute sequalae of COVID-19 (PASC) through quarterly surveys. Demographics, comorbidities, radiographic findings, clinical laboratory values, SARS-CoV-2 PCR and serology were captured over a 28-day period. Multi-variable logistic regression was performed. Findings: The median age was 59 years (interquartile range [IQR] 20); 711 (61%) were men; overall mortality was 14%, and 228 (20%) required invasive mechanical ventilation. Unsuper-vised clustering of ordinal score over time revealed distinct disease course trajectories. Risk fac-tors associated with prolonged hospitalization or death by day 28 included age [≥] 65 years (odds ratio [OR], 2.01; 95% CI 1.28-3.17), Hispanic ethnicity (OR, 1.71; 95% CI 1.13-2.57), elevated baseline creatinine (OR 2.80; 95% CI 1.63- 4.80) or troponin (OR 1.89; 95% 1.03-3.47), baseline lymphopenia (OR 2.19; 95% CI 1.61-2.97), presence of infiltrate by chest imaging (OR 3.16; 95% CI 1.96-5.10), and high SARS-CoV2 viral load (OR 1.53; 95% CI 1.17-2.00). Fatal cases had the lowest ratio of SARS-CoV-2 antibody to viral load levels compared to other trajectories over time (p=0.001). 589 survivors (51%) completed at least one survey at follow-up with 305 (52%) hav-ing at least one symptom consistent with PASC, most commonly dyspnea (56% among symp-tomatic patients). Female sex was the only associated risk factor for PASC. Interpretation: Integration of PCR cycle threshold, and antibody values with demographics, comorbidities, and laboratory/radiographic findings identified risk factors for 28-day outcome severity, though only female sex was associated with PASC. Longitudinal clinical phenotyping offers important insights, and provides a framework for immunophenotyping for acute and long COVID-19. Funding: NIH


Subject(s)
COVID-19 , Lymphopenia , Dyspnea , Respiratory Insufficiency
6.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.04.18.22271936

ABSTRACT

Importance: The performance of immunoassays for determining past SARS-CoV-2 infection, which were developed in unvaccinated individuals, has not been assessed in vaccinated individuals. Objective: To evaluate anti-nucleocapsid antibody (anti-N Ab) seropositivity in mRNA-1273 vaccine efficacy trial participants after SARS-CoV-2 infection during the trial's blinded phase. Design: Nested analysis in a Phase 3 randomized, placebo-controlled vaccine efficacy trial. Nasopharyngeal swabs for SARS-CoV-2 PCR testing were taken from all participants on Day 1 and Day 29 (vaccination days), and during symptom-prompted illness visits. Serum samples from Days 1, 29, 57, and the Participant Decision Visit (PDV, when participants were informed of treatment assignment, median day 149) were tested for anti-N Abs. Setting: Multicenter, randomized, double-blind, placebo-controlled trial at 99 sites in the US. Participants: Trial participants were [≥] 18 years old with no known history of SARS-CoV-2 infection and at appreciable risk of SARS-CoV-2 infection and/or high risk of severe Covid-19. Nested sub-study consists of participants with SARS-CoV-2 infection during the blinded phase of the trial. Intervention: Two mRNA-1273 (Moderna) or Placebo injections, 28 days apart. Main Outcome and Measure: Detection of serum anti-N Abs by the Elecsys (Roche) immunoassay in samples taken at the PDV from participants with SARS-CoV-2 infection during the blinded phase. The hypothesis tested was that mRNA-1273 recipients have different anti-N Ab seroconversion and/or seroreversion profiles after SARS-CoV-2 infection, compared to placebo recipients. The hypothesis was formed during data collection; all main analyses were pre-specified before being conducted. Results: We analyzed data from 1,789 participants (1,298 placebo recipients and 491 vaccine recipients) with SARS-CoV-2 infection during the blinded phase (through March 2021). Among participants with PCR-confirmed Covid-19 illness, seroconversion to anti-N Abs at a median follow up of 53 days post diagnosis occurred in 21/52 (40%) of the mRNA-1273 vaccine recipients vs. 605/648 (93%) of the placebo recipients (p < 0.001). Higher SARS-CoV-2 viral copies at diagnosis was associated with a higher likelihood of anti-N Ab seropositivity (odds ratio 1.90 per 1-log increase; 95% confidence interval 1.59, 2.28). Conclusions and Relevance: As a marker of recent infection, anti-N Abs may have lower sensitivity in mRNA-1273-vaccinated persons who become infected. Vaccination status should be considered when interpreting seroprevalence and seropositivity data based solely on anti-N Ab testing Trial Registration: ClinicalTrials.gov NCT04470427


Subject(s)
COVID-19
7.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1555201.v1

ABSTRACT

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants have caused multiple waves of infection globally. This phase 2/3 study evaluated the safety and immunogenicity of the bivalent vaccine candidate mRNA-1273.211 (equal mRNA amounts of ancestral SARS-CoV-2 and Beta variant spike proteins) as 50-µg (n=300) and 100-µg (n=595) first booster doses approximately 8.8-9.8 months after the mRNA-1273 primary series. The mRNA-1273.211 booster (50 and 100-µg) elicited higher neutralizing antibody responses against the ancestral SARS-CoV-2 and the Beta variant than that after the second mRNA‑1273 dose. Antibody responses after the 50-µg mRNA-1273.211 booster dose were also higher than that after a 50-µg mRNA-1273 booster dose for the ancestral SARS-CoV-2, Beta, Omicron and Delta variants (28 days after the booster dose) and for the ancestral SARS-CoV-2, Beta and Omicron (180 days after the booster dose), and the immunogenicity objectives were met. The safety and reactogenicity profile of the mRNA-1273.211 booster (50-µg) was comparable to mRNA-1273 (50-µg). These results indicate that bivalent booster vaccines can induce potent and durable antibody responses providing a new tool in response to emerging variants. Trial registration: https://www.clinicaltrials.gov NCT04927065

8.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.09.28.21264252

ABSTRACT

This analysis assessed the impact of mRNA-1273 vaccination on the viral dynamics of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in the ongoing Coronavirus Efficacy (COVE) trial. mRNA-1273 vaccination significantly reduced SARS-CoV-2 viral copy number (95% confidence interval [CI]) by 100-fold on the day of diagnosis (4.1 [3.4-4.8] versus placebo (6.2 [6.0-6.4] log10 copies/ml). Median times to undetectable viral copies were 4 days for mRNA-1273 and 7 for placebo. Vaccination also reduced the burden of disease and infection scores. Vaccine efficacies (95% CI) during the trial against SARS-CoV-2 variants circulating in the US were 82.4% (40.4%-94.8%) for Epsilon and Gamma, and 81.2% (36.1%-94.5%) for the Epsilon variants. The detection of other respiratory viruses during the trial was similar between groups. In those who became SARS-CoV-2 infected, the reduction of viral load after mRNA-1273 vaccination is potentially correlated to the risk of transmission, which has not been assessed in this study.

9.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.09.17.21263624

ABSTRACT

BackgroundFollowing emergency use authorization in December 2020, the Coronavirus Efficacy (COVE) trial was amended to an open-label phase, where participants were unblinded and those randomized to placebo were offered vaccination. Emergence of the delta variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been associated with increased incidences of coronavirus disease 2019 (Covid-19) among unvaccinated and vaccinated persons. This exploratory analysis evaluated the incidence and genetic sequences of Covid-19 cases in the ongoing COVE trial during the open-label phase, with a focus on July-August 2021, when delta-variants surged in the US. MethodsCovid-19 cases were identified in participants initially randomized to mRNA-1273 (vaccinated from July-December 2020) and those initially randomized to the placebo (vaccinated December 2020-April 2021) who received at least one dose and were SARS-CoV-2-negative at baseline in the modified-intent-to-treat population were analyzed. Included were Covid-19 cases occurring after 26-Mar-2021 with positive RT-PCR results in nasopharyngeal samples (central lab test) and reported Covid-19 symptoms. Genetic sequencing of Covid-19 cases was also performed. ResultsThere were 14,746 participants in the earlier mRNA-1273 (mRNA-1273e) group and 11,431 in the later placebo-mRNA1273 (mRNA-1273p) group. Covid-19 cases increased from the start of the open-label phase to July-August 2021. During July and August, 162 Covid-19 cases occurred in the mRNA-1273e group and 88 in the mRNA-1273p group. Of the cases sequenced, 144/149 [97%]) in the mRNA-1273 and 86/88 (99%) in the mRNA-1273p groups were attributed to delta. The incidence rate of Covid-19 was lower for the mRNA-1273p (49.0/1000 person-years) versus mRNA-1273e (77.1/1000 person-years) group [36.4% (95% CI 17.1%-51.5%) reduction]. There were fewer severe Covid-19 cases in the mRNA-1273p (6; 6.2/1000 person-years) than mRNA-1273e (13; 3.3/1000 person-years) [46.0% (95% CI -52.4%-83.2%) reduction]. Three Covid-19 related hospitalizations occurred with two resulting deaths in the mRNA-1273e group. ConclusionIncidence rates of Covid-19 and severe Covid-19 were lower during the months when delta was the dominant variant (July/August 2021) among COVE participants vaccinated more recently. Analysis of COVID-19 cases from the open-label phase of the COVE study is ongoing.


Subject(s)
COVID-19 , Coronavirus Infections
10.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.08.09.21261290

ABSTRACT

BackgroundIn the Coronavirus Efficacy (COVE) trial, estimated mRNA-1273 vaccine efficacy against coronavirus disease-19 (COVID-19) was 94%. SARS-CoV-2 antibody measurements were assessed as correlates of COVID-19 risk and as correlates of protection. MethodsThrough case-cohort sampling, participants were selected for measurement of four serum antibody markers at Day 1 (first dose), Day 29 (second dose), and Day 57: IgG binding antibodies (bAbs) to Spike, bAbs to Spike receptor-binding domain (RBD), and 50% and 80% inhibitory dilution pseudovirus neutralizing antibody titers calibrated to the WHO International Standard (cID50 and cID80). Participants with no evidence of previous SARS-CoV-2 infection were included. Cox regression assessed in vaccine recipients the association of each Day 29 or 57 serologic marker with COVID-19 through 126 or 100 days of follow-up, respectively, adjusting for risk factors. ResultsDay 57 Spike IgG, RBD IgG, cID50, and cID80 neutralization levels were each inversely correlated with risk of COVID-19: hazard ratios 0.66 (95% CI 0.50, 0.88; p=0.005); 0.57 (0.40, 0.82; p=0.002); 0.42 (0.27, 0.65; p<0.001); 0.35 (0.20, 0.61; p<0.001) per 10-fold increase in marker level, respectively, multiplicity adjusted P-values 0.003-0.010. Results were similar for Day 29 markers (multiplicity adjusted P-values <0.001-0.003). For vaccine recipients with Day 57 reciprocal cID50 neutralization titers that were undetectable (<2.42), 100, or 1000, respectively, cumulative incidence of COVID-19 through 100 days post Day 57 was 0.030 (0.010, 0.093), 0.0056 (0.0039, 0.0080), and 0.0023 (0.0013, 0.0036). For vaccine recipients at these titer levels, respectively, vaccine efficacy was 50.8% (-51.2, 83.0%), 90.7% (86.7, 93.6%), and 96.1% (94.0, 97.8%). Causal mediation analysis estimated that the proportion of vaccine efficacy mediated through Day 29 cID50 titer was 68.5% (58.5, 78.4%). ConclusionsBinding and neutralizing antibodies correlated with COVID-19 risk and vaccine efficacy and likely have utility in predicting mRNA-1273 vaccine efficacy against COVID-19. Trial registration numberCOVE ClinicalTrials.gov number, NCT04470427


Subject(s)
COVID-19
11.
Cathrine Axfors; Andreas M Schmitt; Perrine Janiaud; Janneke van 't Hooft; Sherief Abd-Elsalam; Ehab F Abdo; Benjamin S Abella; Javed Akram; Ravi K Amaravadi; Derek C Angus; Yaseen M Arabi; Shehnoor Azhar; Lindsey R Baden; Arthur W Baker; Leila Belkhir; Thomas Benfield; Marvin A H Berrevoets; Cheng-Pin Chen; Tsung-Chia Chen; Shu-Hsing Cheng; Chien-Yu Cheng; Wei-Sheng Chung; Yehuda Z Cohen; Lisa N Cowan; Olav Dalgard; Fernando F de Almeida e Val; Marcus V G de Lacerda; Gisely C de Melo; Lennie Derde; Vincent Dubee; Anissa Elfakir; Anthony C Gordon; Carmen M Hernandez-Cardenas; Thomas Hills; Andy I M Hoepelman; Yi-Wen Huang; Bruno Igau; Ronghua Jin; Felipe Jurado-Camacho; Khalid S Khan; Peter G Kremsner; Benno Kreuels; Cheng-Yu Kuo; Thuy Le; Yi-Chun Lin; Wu-Pu Lin; Tse-Hung Lin; Magnus Nakrem Lyngbakken; Colin McArthur; Bryan McVerry; Patricia Meza-Meneses; Wuelton M Monteiro; Susan C Morpeth; Ahmad Mourad; Mark J Mulligan; Srinivas Murthy; Susanna Naggie; Shanti Narayanasamy; Alistair Nichol; Lewis A Novack; Sean M O'Brien; Nwora Lance Okeke; Lena Perez; Rogelio Perez-Padilla; Laurent Perrin; Arantxa Remigio-Luna; Norma E Rivera-Martinez; Frank W Rockhold; Sebastian Rodriguez-Llamazares; Robert Rolfe; Rossana Rosa; Helge Rosjo; Vanderson S Sampaio; Todd B Seto; Muhammad Shehzad; Shaimaa Soliman; Jason E Stout; Ireri Thirion-Romero; Andrea B Troxel; Ting-Yu Tseng; Nicholas A Turner; Robert J Ulrich; Stephen R Walsh; Steve A Webb; Jesper M Weehuizen; Maria Velinova; Hon-Lai Wong; Rebekah Wrenn; Fernando G Zampieri; Wu Zhong; David Moher; Steven N Goodman; John P A Ioannidis; Lars G Hemkens.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.09.16.20194571

ABSTRACT

Background: Substantial COVID-19 research investment has been allocated to randomized clinical trials (RCTs) on hydroxychloroquine/chloroquine, which currently face recruitment challenges or early discontinuation. We aimed to estimate the effects of hydroxychloroquine and chloroquine on survival in COVID-19 from all currently available RCT evidence, published and unpublished. Methods: Rapid meta-analysis of ongoing, completed, or discontinued RCTs on hydroxychloroquine or chloroquine treatment for any COVID-19 patients (protocol: https://osf.io/QESV4/). We systematically identified published and unpublished RCTs by September 14, 2020 (ClinicalTrials.gov, WHO International Clinical Trials Registry Platform, PubMed, Cochrane COVID-19 registry). All-cause mortality was extracted (publications/preprints) or requested from investigators and combined in random-effects meta-analyses, calculating odds ratios (ORs) with 95% confidence intervals (CIs), separately for hydroxychloroquine/chloroquine. Prespecified subgroup analyses included patient setting, diagnostic confirmation, control type, and publication status. Results: Sixty-two trials were potentially eligible. We included 16 unpublished trials (1596 patients) and 10 publications/preprints (6317 patients). The combined summary OR on all-cause mortality for hydroxychloroquine was 1.08 (95%CI: 0.99, 1.18; I-square=0%; 24 trials; 7659 patients) and for chloroquine 1.77 (95%CI: 0.15, 21.13, I-square=0%; 4 trials; 307 patients). We identified no subgroup effects. Conclusions: We found no benefit of hydroxychloroquine or chloroquine on the survival of COVID-19 patients. For hydroxychloroquine, the confidence interval is compatible with increased mortality (OR 1.18) or negligibly reduced mortality (OR 0.99). Findings have unclear generalizability to outpatients, children, pregnant women, and people with comorbidities.


Subject(s)
COVID-19
12.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.09.01.20184101

ABSTRACT

The human beta coronavirus SARS-CoV-2, causative virus of COVID-19, has infected more than 15 million people globally and continues to spread. Widespread, population level testing to detect active and past infections is critical to curb the COVID-19 pandemic. Antibody (serological) testing is the only option for detecting past infections outside the narrow window accessible to nucleic acid-based tests. However, currently available serological assays commonly lack scalability. Here, we describe the development of a rapid homogenous serological assay for the detection of antibodies to SARS-CoV-2 in patient plasma. We show that the fluorescence-based assay accurately detects seroconversion in COVID-19 patients from less than 1 microliter of plasma. Using a cohort of samples from COVID-19 infected or healthy individuals, we demonstrate detection with 100% sensitivity and specificity. This assay addresses an important need for a robust, low barrier to implementation, and scalable serological assay with complementary strengths to currently available serological platforms.


Subject(s)
COVID-19 , Infections
13.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.06.24.20139006

ABSTRACT

Background Seroepidemiology is an important tool to characterize the epidemiology and immunobiology of SARS-CoV-2 but many immunoassays have not been externally validated raising questions about reliability of study findings. To ensure meaningful data, particularly in a low seroprevalence population, assays need to be rigorously characterized with high specificity. Methods We evaluated two commercial (Roche Diagnostics and Epitope Diagnostics IgM/IgG) and two non-commercial (Simoa and Ragon/MGH IgG) immunoassays against 68 confirmed positive and 232 pre-pandemic negative controls. Sensitivity was stratified by time from symptom onset. The Simoa multiplex assay applied three pre-defined algorithm models to determine sample result. Results The Roche and Ragon/MGH IgG assays each registered 1/232 false positive, the primary Simoa model registered 2/232 false positives, and the Epitope registered 2/230 and 3/230 false positives for the IgG and IgM assays respectively. Sensitivity >21 days post symptom-onset was 100% for all assays except Epitope IgM, but lower and/or with greater variability between assays for samples collected 9-14 days (67-100%) and 15-21 days (69-100%) post-symptom onset. The Simoa and Epitope IgG assays demonstrated excellent sensitivity earlier in the disease course. The Roche and Ragon/MGH IgG assays were less sensitive during early disease, particularly among immunosuppressed individuals. Conclusions The Epitope IgG demonstrated good sensitivity and specificity. The Roche and Ragon/MGH IgG assays registered rare false positives with lower early sensitivity. The Simoa assay primary model had excellent sensitivity and few false positives.


Subject(s)
Hyper-IgM Immunodeficiency Syndrome, Type 1
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