Literature DB >> 34941024

Viral Dynamics of SARS-CoV-2 Variants in Vaccinated and Unvaccinated Persons.

Stephen M Kissler1, Joseph R Fauver2, Christina Mack3, Caroline G Tai3, Mallery I Breban2, Anne E Watkins2, Radhika M Samant3, Deverick J Anderson4, Jessica Metti5, Gaurav Khullar5, Rachel Baits5, Matthew MacKay5, Daisy Salgado5, Tim Baker5, Joel T Dudley5, Christopher E Mason5, David D Ho6, Nathan D Grubaugh2, Yonatan H Grad7.   

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Year:  2021        PMID: 34941024      PMCID: PMC8693673          DOI: 10.1056/NEJMc2102507

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


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To the Editor: Two opposing forces that are shaping the coronavirus disease 2019 (Covid-19) pandemic are the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern and the uptake of vaccines. Measurement of SARS-CoV-2 viral load over the course of acute infection can inform hypotheses about the mechanisms that underlie variation in transmissibility according to variant and vaccination status.[1] Recent evidence suggests that infections with the delta variant feature higher peak viral loads than those in other lineages[2] and that vaccine recipients who are infected with SARS-CoV-2 may clear the infection more quickly than unvaccinated persons.[3] However, descriptions of SARS-CoV-2 viral dynamics have been principally based on cross-sectional studies in which testing was triggered by the onset of symptoms. Such study designs overlook viral dynamics during the early stages of infection and introduce bias in viral load measurements from different periods of the pandemic.[4] To overcome these limitations, we collected and analyzed a prospective, longitudinal set of 19,941 SARS-CoV-2 viral samples obtained from 173 participants as part of the occupational health program of the National Basketball Association between November 28, 2020, and August 11, 2021. (Details regarding the characteristics of the population are provided in Table S1 in the Supplementary Appendix, available with the full text of this letter at NEJM.org.) Using a Bayesian hierarchical statistical model,[5] we compared SARS-CoV-2 viral dynamics among 36 participants who were infected with the B.1.1.7 (alpha) variant, 36 participants with the B.1.617.2 (delta) variant, and 41 participants with a variant that was not of current interest or concern, along with 37 vaccinated and 136 unvaccinated participants. We found no meaningful difference in the mean peak viral load (with a lower peak cycle threshold [Ct] indicating a higher viral load), proliferation duration, clearance duration, or duration of acute infection of either the alpha or the delta variant as compared with variants not of interest or concern, as evidenced by overlapping 95% credible intervals (Figure 1A, 1B, and 1C, Table S2, and Fig. S1). We also found no meaningful difference in the mean peak viral load or proliferation duration between vaccinated and unvaccinated participants (Figure 1D and 1E, Table S2, and Fig. S2).
Figure 1

Cycle Threshold (Ct) Counts and Infection Clearance Time.

Shown are Ct counts for participants infected with the alpha variant (Panel A), delta variant (Panel B), and variants that were not of current interest or concern (non–VOI/VOCs) (Panel C). Also shown are Ct counts among unvaccinated participants (Panel D) and vaccinated participants (Panel E). Data points for Ct counts that were obtained after the conclusion of a participant’s acute infection (as measured by the mean posterior infection clearance time) are partially transparent, since this period was not the focus of the study. The mean posterior viral trajectories are depicted as solid lines with 95% credible intervals indicated by the shaded regions. Also shown are individual-level posterior means for the peak viral load according to variant status (Panel F) and the mean clearance time according to vaccination status (Panel G). In Panels F and G, horizontal lines indicate means and 𝙸 bars 95% credible intervals.

A lower peak Ct was slightly more frequent in infections with the delta variant than in those with the alpha variant or variants not of interest or concern: 13.0% of the posterior delta trajectories had a Ct count of less than 15 (9.6 log10 RNA copies per milliliter), as compared with 6.9% for the alpha variant and 10.2% for variants not of interest or concern (Figure 1F and Fig. S1G). It is unclear whether this finding reflects a biologic characteristic of the delta variant, the limited number of cases, the higher proportion of delta infections among vaccine recipients, or other factors. Breakthrough infections among vaccine recipients were characterized by a faster clearance time than that among unvaccinated participants, with a mean of 5.5 days (95% credible interval, 4.6 to 6.5) and 7.5 days (95% credible interval, 6.8 to 8.2), respectively. The shorter clearance time led to a shorter overall duration of infection among vaccine recipients (Figure 1G). Our ability to detect differences in SARS-CoV-2 viral dynamics was limited by the high degree of interpersonal variation among our study participants, as well as the small sample size, which also prevented us from subcategorizing the population further according to variant and vaccination status. The participants in this study were predominantly healthy young men and thus were not representative of the general population. Symptoms were not systematically tracked, nor did we test for the presence of infectious virus. This study provides data on acute SARS-CoV-2 viral dynamics for some variants of concern among vaccinated and unvaccinated persons. Additional data regarding prospective, longitudinal testing among diverse cohorts are needed to better understand differences in SARS-CoV-2 viral trajectories and inform interventions to mitigate the effects of Covid-19.
  4 in total

1.  Virological and serological kinetics of SARS-CoV-2 Delta variant vaccine breakthrough infections: a multicentre cohort study.

Authors:  Po Ying Chia; Sean Wei Xiang Ong; Calvin J Chiew; Li Wei Ang; Jean-Marc Chavatte; Tze-Minn Mak; Lin Cui; Shirin Kalimuddin; Wan Ni Chia; Chee Wah Tan; Louis Yi Ann Chai; Seow Yen Tan; Shuwei Zheng; Raymond Tzer Pin Lin; Linfa Wang; Yee-Sin Leo; Vernon J Lee; David Chien Lye; Barnaby Edward Young
Journal:  Clin Microbiol Infect       Date:  2021-11-23       Impact factor: 8.067

2.  Viral dynamics of acute SARS-CoV-2 infection and applications to diagnostic and public health strategies.

Authors:  Stephen M Kissler; Joseph R Fauver; Christina Mack; Scott W Olesen; Caroline Tai; Kristin Y Shiue; Chaney C Kalinich; Sarah Jednak; Isabel M Ott; Chantal B F Vogels; Jay Wohlgemuth; James Weisberger; John DiFiori; Deverick J Anderson; Jimmie Mancell; David D Ho; Nathan D Grubaugh; Yonatan H Grad
Journal:  PLoS Biol       Date:  2021-07-12       Impact factor: 9.593

3.  Estimating epidemiologic dynamics from cross-sectional viral load distributions.

Authors:  James A Hay; Lee Kennedy-Shaffer; Sanjat Kanjilal; Niall J Lennon; Stacey B Gabriel; Marc Lipsitch; Michael J Mina
Journal:  Science       Date:  2021-06-03       Impact factor: 47.728

  4 in total
  75 in total

Review 1.  Biological Properties of SARS-CoV-2 Variants: Epidemiological Impact and Clinical Consequences.

Authors:  Reem Hoteit; Hadi M Yassine
Journal:  Vaccines (Basel)       Date:  2022-06-09

2.  Modeling pandemic to endemic patterns of SARS-CoV-2 transmission using parameters estimated from animal model data.

Authors:  Sarah Mullin; Brent Vander Wyk; Jennifer L Asher; Susan R Compton; Heather G Allore; Caroline J Zeiss
Journal:  PNAS Nexus       Date:  2022-07-01

3.  Viral Shedding Kinetics and Transmission of Emerging SARS-CoV-2 Variants-Critical Components of Study Design.

Authors:  Camden D Gowler; Prabasaj Paul; Sujan C Reddy
Journal:  JAMA Netw Open       Date:  2022-05-02

4.  SARS-CoV-2 transmission and impacts of unvaccinated-only screening in populations of mixed vaccination status.

Authors:  Kate M Bubar; Casey E Middleton; Kristen K Bjorkman; Roy Parker; Daniel B Larremore
Journal:  Nat Commun       Date:  2022-05-19       Impact factor: 17.694

5.  Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: An updated systematic review and meta-analysis with meta-regression analyzing influencing factors.

Authors:  Lukas E Brümmer; Stephan Katzenschlager; Sean McGrath; Stephani Schmitz; Mary Gaeddert; Christian Erdmann; Marc Bota; Maurizio Grilli; Jan Larmann; Markus A Weigand; Nira R Pollock; Aurélien Macé; Berra Erkosar; Sergio Carmona; Jilian A Sacks; Stefano Ongarello; Claudia M Denkinger
Journal:  PLoS Med       Date:  2022-05-26       Impact factor: 11.613

6.  Characterizing SARS-CoV-2 Viral Clearance Kinetics to Improve the Design of Antiviral Pharmacometric Studies.

Authors:  James A Watson; Stephen M Kissler; Nicholas P J Day; Yonatan H Grad; Nicholas J White
Journal:  Antimicrob Agents Chemother       Date:  2022-06-23       Impact factor: 5.938

7.  Clinical evaluation of the Diagnostic Analyzer for Selective Hybridization (DASH): A point-of-care PCR test for rapid detection of SARS-CoV-2 infection.

Authors:  Chad J Achenbach; Matthew Caputo; Claudia Hawkins; Lauren C Balmert; Chao Qi; Joseph Odorisio; Etienne Dembele; Alema Jackson; Hiba Abbas; Jennifer K Frediani; Joshua M Levy; Paulina A Rebolledo; Russell R Kempker; Annette M Esper; Wilbur A Lam; Greg S Martin; Robert L Murphy
Journal:  PLoS One       Date:  2022-06-16       Impact factor: 3.752

8.  Evaluating the Ability to ID (COVID-19) NOW: a Large Real-World Prospective Evaluation of the Abbott ID NOW COVID-19 Assay.

Authors:  K R Barker; L N Small; D V Thai; K Y Sohn; L C Rosella
Journal:  Microbiol Spectr       Date:  2022-05-17

9.  SARS-CoV-2 RNA and antibody dynamics in a Dutch household study with dense sampling frame.

Authors:  Wanda G H Han; Arno Swart; Axel Bonačić Marinović; Dirk Eggink; Johan Reimerink; Lisa A Wijsman; Bas van der Veer; Sharon van den Brink; Anne-Marie van den Brandt; Sophie van Tol; Gert-Jan Godeke; Fion Brouwer; Marieke Hoogerwerf; Daphne F M Reukers; Nynke Rots; Chantal Reusken; Adam Meijer
Journal:  Sci Rep       Date:  2022-05-13       Impact factor: 4.996

10.  Association Between 3 Doses of mRNA COVID-19 Vaccine and Symptomatic Infection Caused by the SARS-CoV-2 Omicron and Delta Variants.

Authors:  Emma K Accorsi; Amadea Britton; Katherine E Fleming-Dutra; Zachary R Smith; Nong Shang; Gordana Derado; Joseph Miller; Stephanie J Schrag; Jennifer R Verani
Journal:  JAMA       Date:  2022-02-15       Impact factor: 157.335

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