Literature DB >> 35791353

Longitudinal Analysis of SARS-CoV-2 Vaccine Breakthrough Infections Reveals Limited Infectious Virus Shedding and Restricted Tissue Distribution.

Ruian Ke1, Pamela P Martinez2, Rebecca L Smith3, Laura L Gibson4, Chad J Achenbach4, Sally McFall5, Chao Qi6, Joshua Jacob7, Etienne Dembele7, Camille Bundy8, Lacy M Simons7, Egon A Ozer7, Judd F Hultquist7, Ramon Lorenzo-Redondo7, Anita K Opdycke9, Claudia Hawkins7, Robert L Murphy7, Agha Mirza10, Madison Conte10, Nicholas Gallagher11, Chun Huai Luo11, Junko Jarrett11, Abigail Conte12, Ruifeng Zhou12, Mireille Farjo2, Gloria Rendon13, Christopher J Fields13, Leyi Wang14, Richard Fredrickson14, Melinda E Baughman3, Karen K Chiu3, Hannah Choi3, Kevin R Scardina3, Alyssa N Owens15, John Broach4, Bruce Barton16, Peter Lazar16, Matthew L Robinson4, Heba H Mostafa11, Yukari C Manabe4, Andrew Pekosz12, David D McManus4, Christopher B Brooke2.   

Abstract

Background: The global effort to vaccinate people against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during an ongoing pandemic has raised questions about how vaccine breakthrough infections compare with infections in immunologically naive individuals and the potential for vaccinated individuals to transmit the virus.
Methods: We examined viral dynamics and infectious virus shedding through daily longitudinal sampling in 23 adults infected with SARS-CoV-2 at varying stages of vaccination, including 6 fully vaccinated individuals.
Results: The durations of both infectious virus shedding and symptoms were significantly reduced in vaccinated individuals compared with unvaccinated individuals. We also observed that breakthrough infections are associated with strong tissue compartmentalization and are only detectable in saliva in some cases. Conclusions: Vaccination shortens the duration of time of high transmission potential, minimizes symptom duration, and may restrict tissue dissemination.
© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Entities:  

Keywords:  SARS-CoV-2; breakthrough infections; vaccines; viral dynamics

Year:  2022        PMID: 35791353      PMCID: PMC9047214          DOI: 10.1093/ofid/ofac192

Source DB:  PubMed          Journal:  Open Forum Infect Dis        ISSN: 2328-8957            Impact factor:   4.423


Licensed vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have already established a clear record of success in reducing case numbers and disease severity in areas that have achieved high vaccination rates. While vaccination clearly limits susceptibility to the virus, breakthrough infections can occur, as no vaccines are capable of eliciting sterilizing immunity, particularly against viruses that infect mucosal tissues [1]. Characterizing the unique features of breakthrough infections is critical for evaluating the potential for vaccinated individuals to transmit virus and understanding how vaccine-induced immunity suppresses viral replication and mitigates disease severity. A study performed in Israel estimated that vaccination with the BNT162b2 (Pfizer/BioNTech) mRNA vaccine substantially reduced the potential for transmission among household contacts [2]. Other recent data have suggested that vaccinated individuals may shed virus (as measured by reverse transcription quantitative polymerase chain reaction [RTqPCR]) at similar levels to unvaccinated individuals, particularly when infected with the Delta variant [3-5]. Some interpretations of these preliminary studies have suggested that the risk for secondary transmission is similar for vaccinated and unvaccinated individuals. However, most studies to date base their conclusions on cross-sectional sampling of viral genome loads (as measured by RTqPCR), which may not directly translate to infectiousness [6]. In a cohort of longitudinally sampled participants who screened positive for SARS-CoV-2, we previously showed that the relationship between viral genome load and infectious virus load can vary greatly across individuals and over time, making the use of cross-sectional RTqPCR data problematic for estimations of infectiousness [7]. Therefore, longitudinal comparisons of viral genome shedding and infectious virus shedding across tissue compartments between vaccinated and unvaccinated individuals are needed to accurately assess the effects of vaccination on viral dynamics and transmission potential. Here, we present the longitudinal dynamics of SARS-CoV-2 infection in 23 individuals infected at varying stages of vaccination (6 fully vaccinated and 17 partially vaccinated) captured at 2 study sites through daily nasal swab and saliva collection, along with symptom reporting.

METHODS

Patient Consent

This study was approved by the Western Institutional Review Board, and all participants provided informed consent.

Participants

University of Illinois at Urbana-Champaign Enrollment Site

All on-campus students and employees of the University of Illinois at Urbana-Champaign (UIUC) were required to submit saliva for RTqPCR testing every 2–4 days as part of the SHIELD campus surveillance testing program [8]. Those testing positive were instructed to isolate and were eligible to enroll in this study for a period of 24 hours after receipt of their positive test result. Close contacts of individuals who tested positive (particularly those co-housed with them) were instructed to quarantine and were eligible to enroll for up to 5 days after their last known exposure to an infected individual. All participants were also required to have received a negative saliva RTqPCR result 7 days before enrollment.

Northwestern University Enrollment Site

All Northwestern University (NU) on-campus students were required to have nasal swab samples collected for LAMP testing once per week as part of the campus surveillance program. Those testing positive were required to go in the Health Service Quarantine and Isolation (QI) program for isolation. They were eligible for enrollment in this study within 24 hours of going into isolation. Close contacts of individuals who tested positive (particularly those co-housed with them) were also entered in the NU QI program. They were instructed to quarantine and were eligible to enroll in this study for up to 5 days after their last known exposure to an infected individual. All participants were also required to have received a negative nasal swab LAMP assay result 7 days before enrollment. Individuals were recruited via either a link shared in an automated text message providing isolation information sent within 30 minutes of a positive test result, a call from a study recruiter, or a link shared by an enrolled study participant or included in information provided to all quarantining close contacts. In addition, signs/flyers were used at each testing location, and a website was available to inform the community about the study. Participants were required to be at least 18 years of age, have a valid university ID, speak English, have internet access, and live within 8 miles of the university campus. After enrollment and consent, participants completed an initial survey to collect information on demographics, vaccination status, prior infection history, and health history and were provided with sample collection supplies. Participants who tested positive before enrollment or during quarantine were followed for up to 14 days. Quarantining participants who continued to test negative by saliva RTqPCR (UIUC) or nasal swab RTqPCR (NU) were followed for up to 7 days after their last exposure. All participants’ data and survey responses were collected in the Eureka digital study platform. Enrollment lasted from December 2, 2020, to March 23, 2021.

Determination of Vaccination Status

Vaccination status was determined by self-reporting of vaccination status and timing. We defined individuals as fully vaccinated if they enrolled at least 14 days after the second mRNA vaccine dose or first J&J vaccine dose, as partially vaccinated if they enrolled at least 14 days after the first mRNA vaccine dose but did not qualify as fully vaccinated, and as newly vaccinated if they enrolled <14 days after the first vaccine dose (either mRNA or J&J).

Sample Collection

Each day, participants were remotely observed by trained study staff collecting: 2 mL of saliva into a 50-mL conical tube (UIUC study site only); 1 nasal swab from a single nostril using a foam-tipped swab that was placed within a dry collection tube; 1 nasal swab from the other nostril using a flocked swab that was subsequently placed in a collection vial containing 3 mL of viral transport media (VTM). The order of nostrils (left vs right) used for the 2 different swabs was randomized. For nasal swabs, participants were instructed to insert the soft tip of the swab at least 1 cm into the indicated nostril until they encountered mild resistance, rotate the swab around the nostril 5 times, leaving it in place for 10–15 seconds. After daily sample collection, participants completed a symptom survey. A courier collected all participant samples within 1 hour of collection using a no-contact pickup protocol designed to minimize courier exposure to infected participants.

Saliva RTqPCR

After collection, saliva samples were stored at room temperature, and RTqPCR was run within 12 hours of initial collection. The protocol for the covidSHIELD direct saliva-to-RTqPCR assay used has been detailed previously [8, 9]. In brief, saliva samples were heated at 95°C for 30 minutes, followed by the addition of 2× Tris/Borate/EDTA buffer (TBE) at a 1:1 ratio (final concentration 1× TBE) and Tween-20 to a final concentration of 0.5%. Samples were assayed using the Thermo TaqPath COVID-19 Combo kit assay.

Antigen Testing

Foam-tipped nasal swabs were placed in collection tubes, transported with cold packs, and stored at 4°C overnight based on guidance from the manufacturer. The morning after collection, swabs were run through the Sofia SARS antigen FIA on Sofia 2 devices according to the manufacturer’s protocol.

Nasal Swab RTqPCR

For the UIUC cohort, collection tubes containing VTM and flocked nasal swabs were stored at −80°C after collection and were subsequently shipped to Johns Hopkins University for RTqPCR and virus culture testing. After thawing, VTM was aliquoted for RTqPCR and infectivity assays. One milliliter of VTM from the nasal swab was assayed on the Abbott Alinity per the manufacturer’s instructions in a College of American Pathologist– and Clinical Laboratory Improvement Amendments–certified laboratory. The calibration curve for the Alinity assay was determined using digital droplet PCR (ddPCR) as previously described [10].

Virus Culture From Nasal Swabs

Vero-TMPRSS2 cells were grown in complete medium (CM) consisting of DMEM with 10% fetal bovine serum (Gibco), 1 mM of glutamine (Invitrogen), 1 mM of sodium pyruvate (Invitrogen), 100 U/mL of penicillin (Invitrogen), and 100 μg/mL of streptomycin (Invitrogen) [11]. Viral infectivity was assessed on Vero-TMPRSS2 cells as previously described using infection media (IM; identical to CM except the fetal bovine serum is reduced to 2.5%) [12]. When a cytopathic effect was visible in >50% of cells in a given well, the supernatant was harvested. The presence of SARS-CoV-2 was confirmed through RTqPCR as described previously by extracting RNA from the cell culture supernatant using the Qiagen viral RNA isolation kit and performing RTqPCR using the N1 and N2 SARS-CoV-2-specific primers and probes in addition to primers and probes for human RNaseP gene using synthetic RNA target sequences to establish a standard curve [13].

Viral Genome Sequencing and Analysis

Viral RNA was extracted from 140 µL of heat-inactivated (30 minutes at 95°C, as part of the protocol detailed in Ranoa et al. [9]) saliva samples using the QIAamp viral RNA mini kit (QIAGEN); 100 ng of viral RNA was used to generate cDNA using the SuperScript IV first strand synthesis kit (Invitrogen). Viral cDNA was then used to generate sequencing libraries using the Swift SNAP Amplicon SARS CoV2 kit with an additional coverage panel and unique dual indexing (Swift Biosciences), which were sequenced on an Illumina Novaseq SP lane. Data were run through the nf-core/viralrecon workflow (https://nf-co.re/viralrecon/1.1.0) using the Wuhan-Hu-1 reference genome (NCBI accession NC_045512.2). Swift, version 2, primer sequences were trimmed before variant analysis from iVar, version 1.3.1 (https://genomebiology.biomedcentral.com/articles/10.1186/s13059-018-1618-7), retaining all calls with a minimum allele frequency of 0.01 and higher. Viral lineages were called using the Pangolin tool (https://github.com/cov-lineages/pangolin), version 2.4.2, pango, version 1.2.6, and the 5/19/21 version of the pangoLEARN model.

RESULTS

We enrolled 23 individuals (median age [range], 22 [19-60] years) infected with SARS-CoV-2 at varying stages of vaccination (6 fully vaccinated, ie, enrolled at least 14 days after the second mRNA vaccine dose or first J&J vaccine dose; 6 partially vaccinated, ie, not fully vaccinated but enrolled at least 14 days past the first mRNA vaccine dose; and 11 newly vaccinated individuals who enrolled <14 days after the first vaccine dose [either mRNA or J&J]), captured at 2 study sites through daily nasal swab and saliva collection, along with symptom reporting (Figure 1A–C). These individuals were primarily infected with the B.1.1.7 (Alpha) and P.1 (Gamma) variants, as enrollment in this study concluded before the widespread circulation of Delta at the study sites (Supplementary Table 1). As part of the same study and recruitment program, we also enrolled 60 infected unvaccinated individuals (median age [IQR], 22 [19-73] years). Details on these individuals have been described previously [7].
Figure 1.

Viral dynamics in vaccinated individuals. A, Temporal trends for the saliva RTqPCR (light blue squares), nasal swab RTqPCR (dark blue dots), and positive nasal swab viral culture results (tan bars) in fully vaccinated individuals who enrolled ≥14 days after the second mRNA vaccine dose or first J&J vaccine dose. The x-axis shows days since the first positive PCR result. The y-axis indicates Ct values for saliva RTqPCR assay (covidSHIELD) and CN values for nasal swab RTqPCR assay (Abbott Alinity). The horizontal dashed line indicates the limit of detection of RTqPCR assays. For individuals at the NU study site, saliva samples were not collected; thus only nasal swab data are shown. B, Same data as in (A) but for partially vaccinated individuals who enrolled ≥14 days after first mRNA vaccine dose but were not yet fully vaccinated. C, Same data as in (A) but for newly vaccinated individuals who enrolled <14 days after first mRNA or J&J vaccine dose. D, Numbers of days that vaccinated (combined fully and partially vaccinated individuals), newly vaccinated individuals, and unvaccinated individuals (from Ke et al. [7]) tested viral culture positive. ns, P > .05; *P < .05; **P < .01; ***P < .001. E, Association between the nasal CN values and the probability of the sample being viral culture positive summarized across the vaccinated individuals, newly vaccinated individuals, and unvaccinated individuals (from Ke et al. [7]). Dots indicate individual viral culture results, 1 being a positive result and 0 a negative result. The solid line and the shaded area are the mean and CI, respectively, of a logistic regression fit. F, Proportion of days postenrollment (up to 14 days) that vaccinated, newly vaccinated, and unvaccinated individuals reported no symptoms. ns, P > .05; *P < .05; **P < .01; ***P < .001. G, Plot showing antigen FIA results from days where participants tested either positive or negative by viral culture. The text inside the bars indicates the percentage of antigen FIA results that were positive when the concurrent viral culture sample was positive or negative. Abbreviations: CN, cycle number; Ct, cycle threshold; FIA, fluorescence Immunoassay; NU, Northwestern University; PCR, polymerase chain reaction; RTqPCR, reverse transcription quantitative polymerase chain reaction; UIUC, University of Illinois at Urbana-Champaign.

Viral dynamics in vaccinated individuals. A, Temporal trends for the saliva RTqPCR (light blue squares), nasal swab RTqPCR (dark blue dots), and positive nasal swab viral culture results (tan bars) in fully vaccinated individuals who enrolled ≥14 days after the second mRNA vaccine dose or first J&J vaccine dose. The x-axis shows days since the first positive PCR result. The y-axis indicates Ct values for saliva RTqPCR assay (covidSHIELD) and CN values for nasal swab RTqPCR assay (Abbott Alinity). The horizontal dashed line indicates the limit of detection of RTqPCR assays. For individuals at the NU study site, saliva samples were not collected; thus only nasal swab data are shown. B, Same data as in (A) but for partially vaccinated individuals who enrolled ≥14 days after first mRNA vaccine dose but were not yet fully vaccinated. C, Same data as in (A) but for newly vaccinated individuals who enrolled <14 days after first mRNA or J&J vaccine dose. D, Numbers of days that vaccinated (combined fully and partially vaccinated individuals), newly vaccinated individuals, and unvaccinated individuals (from Ke et al. [7]) tested viral culture positive. ns, P > .05; *P < .05; **P < .01; ***P < .001. E, Association between the nasal CN values and the probability of the sample being viral culture positive summarized across the vaccinated individuals, newly vaccinated individuals, and unvaccinated individuals (from Ke et al. [7]). Dots indicate individual viral culture results, 1 being a positive result and 0 a negative result. The solid line and the shaded area are the mean and CI, respectively, of a logistic regression fit. F, Proportion of days postenrollment (up to 14 days) that vaccinated, newly vaccinated, and unvaccinated individuals reported no symptoms. ns, P > .05; *P < .05; **P < .01; ***P < .001. G, Plot showing antigen FIA results from days where participants tested either positive or negative by viral culture. The text inside the bars indicates the percentage of antigen FIA results that were positive when the concurrent viral culture sample was positive or negative. Abbreviations: CN, cycle number; Ct, cycle threshold; FIA, fluorescence Immunoassay; NU, Northwestern University; PCR, polymerase chain reaction; RTqPCR, reverse transcription quantitative polymerase chain reaction; UIUC, University of Illinois at Urbana-Champaign. Five out of 6 fully vaccinated individuals remained viral culture negative throughout their enrollment period, suggesting minimal shedding of infectious virus and little to no transmission risk. Moreover, the 5 individuals who remained viral culture negative had either undetectable or sporadic and low-level [generally cycle number (CN) > 35] viral genome loads in the nasal compartment. Interestingly, in 2 (487941 and 487250) of the 3 viral culture–negative individuals for whom we collected both saliva and nasal samples, viral RNA was detectable in saliva for 5–10 days while remaining either undetectable (487941) or detectable at a very low level for 2 days (487250) in nasal swabs. These data suggest that in 2 of the 4 fully vaccinated individuals for whom both saliva and nasal swabs were collected, infection was initially established within the oral cavity or other saliva-exposed tissue site and was restricted from disseminating to the nasal passages. We did not observe a similar restriction of virus to saliva across the 60 nonvaccinated individuals whom we examined in a previous report [7], suggesting that severe compartmentalization and tissue restriction of virus may be unique features of vaccine breakthrough infections. The 1 fully vaccinated individual (475670) who did test viral culture positive exhibited highly discordant patterns of viral shedding between saliva and nasal swabs. Viral genome loads expanded and declined in saliva samples over the first week of sample collection while remaining very low or undetectable in nasal swabs. At day 9 postenrollment, viral genome loads suddenly spiked in nasal samples, and the individual began testing viral culture positive. This pattern is consistent with initial containment of the virus in saliva-associated tissue, followed by eventual viral breakthrough and dissemination to the nasal compartment. Patterns of viral shedding in partially vaccinated individuals were more variable. Of the 6 individuals who were not considered fully vaccinated but enrolled ≥14 days after receiving the first dose of mRNA vaccine, 2 only tested positive by RT-qPCR in a single sample (out of 13 or 15 total samples) (Figure 1B), suggesting highly restricted infection with minimal transmission risk. In the other 3 individuals, viral shedding dynamics were indistinguishable from what we previously observed in unvaccinated individuals [7], and 2 of these 3 tested viral culture positive on at least 1 day (Figure 1B). Of the 11 individuals who enrolled within 14 days of receiving their first vaccine dose (“newly vaccinated”), most appeared similar to unvaccinated individuals, with the exception of 3 who appeared to exhibit restricted shedding (Figure 1C). These data are consistent with individual variation in the onset and magnitude of vaccine-mediated protection. We directly compared duration of infectious virus shedding between fully and partially vaccinated individuals (combined here as “vaccinated” due to low numbers), newly vaccinated individuals, and unvaccinated individuals from our previous study (Figure 1D) [7]. The total numbers of days that vaccinated individuals tested viral culture positive were significantly lower than the numbers of days for both the newly vaccinated and unvaccinated groups, indicating that vaccination significantly reduces infectious virus shedding. We also examined whether the relationship between nasal swab CN value and viral culture status differed in vaccinated (both fully and partially), newly vaccinated, and unvaccinated individuals (from Ke et al. [7]) (Figure 1E). For samples with CN values <27, we found that the probability of being viral culture positive was lower for samples coming from vaccinated individuals vs newly vaccinated and unvaccinated individuals. These data suggest that for a given viral genome load (as measured by RTqPCR), vaccinated individuals may be less infectious than unvaccinated individuals, consistent with a recent report examining Delta breakthrough infections [14]. However, we must emphasize that this difference is not statistically significant, potentially due to both the relatively small number of samples from vaccinees and the fact that only 6 out of 12 individuals included in the vaccinated group were fully vaccinated at the time of enrollment. Regardless, these data further illustrate that cycle threshold (Ct)/CN values cannot be used as a simple surrogate for infectious potential. We next examined whether there were any differences in self-reported symptoms between vaccinated and unvaccinated individuals (using the 60 unvaccinated individuals previously reported [7]) (Figure 1F). A Poisson regression shows that those who received at least 1 vaccine dose had significantly more days with no reported symptoms than the unvaccinated (P < .0001). The mean proportion of study days with no symptoms was 0.74 in the vaccinated group compared with 0.37 in the unvaccinated group (range, 0–1 for both groups). Finally, we examined the relationship between viral culture and antigen FIA results in vaccinated (fully plus partially) and newly vaccinated individuals (Figure 1G). We observed that vaccinated and newly vaccinated participants tested positive by antigen FIA on 78% and 85% of the days on which they also tested positive by viral culture, suggesting that antigen FIA can be used to identify vaccine breakthrough infections with high transmission risk, especially if used as part of a serial screening program [15]. These results are consistent with our previous results in unvaccinated individuals as well as earlier cross-sectional studies examining the relationship between antigen test positivity and infectious virus shedding [7, 12, 16].

DISCUSSION

This study has several limitations that must be considered. First, the study cohort size is small, making it hard to draw firm quantitative conclusions. Second, our study cohort is biased toward breakthrough infections detected in our on-campus screening programs (saliva-based RTqPCR at UIUC, nasal swab-based LAMP assay at NU). Finally, enrollment in this study concluded before the arrival of the Delta variant at either study site. It remains unclear how well the effects of vaccination on the viral infection dynamics that we describe apply to Delta or Omicron variant breakthrough infections, given the unique features [17, 18] and enhanced transmissibility [19, 20] of these variants relative to the viruses we captured here. Overall, our data suggest that vaccinated individuals are less likely to be shedding infectious virus at a given viral genome load, shed for a shorter period of time compared with unvaccinated individuals, and report fewer days of symptoms. We also show that some breakthrough infections in fully vaccinated individuals may be tissue restricted and only detectable through saliva screening. The clinical implications of compartmentalization are that testing (RT-PCR or antigen) based on nasal swabs may underestimate the true number of breakthrough infections and that an important role of vaccine-elicited immunity may be restricting viral dissemination and thus limiting symptom severity and transmission potential. These data also further support a role for the oral cavity or other saliva-associated tissue sites as an initial site for SARS-CoV-2 infection before dissemination and replication of the virus in nasal passages in some individuals. Altogether, this study provides a set of high-resolution data that ratify the role of the current SARS-CoV-2 vaccines not only in reducing the severity of the disease, but also the infectiousness of individuals with breakthrough infections. Click here for additional data file.
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Journal:  Int J Public Health       Date:  2022-07-05       Impact factor: 5.100

8.  Vaccination Decreases the Infectious Viral Load of Delta Variant SARS-CoV-2 in Asymptomatic Patients.

Authors:  Jessica A Plante; Rafael R G Machado; Brooke M Mitchell; Divya P Shinde; Jordyn Walker; Dionna Scharton; Allan McConnell; Nehad Saada; Jianying Liu; Bilal Khan; Rafael K Campos; Bryan A Johnson; Vineet D Menachery; Corri B Levine; Ping Ren; Susan L F McLellan; Kenneth S Plante; Scott C Weaver
Journal:  Viruses       Date:  2022-09-18       Impact factor: 5.818

9.  Household transmission of SARS-CoV-2 Omicron variant of concern subvariants BA.1 and BA.2 in Denmark.

Authors:  Frederik Plesner Lyngse; Carsten Thure Kirkeby; Matthew Denwood; Lasse Engbo Christiansen; Kåre Mølbak; Camilla Holten Møller; Robert Leo Skov; Tyra Grove Krause; Morten Rasmussen; Raphael Niklaus Sieber; Thor Bech Johannesen; Troels Lillebaek; Jannik Fonager; Anders Fomsgaard; Frederik Trier Møller; Marc Stegger; Maria Overvad; Katja Spiess; Laust Hvas Mortensen
Journal:  Nat Commun       Date:  2022-09-30       Impact factor: 17.694

  9 in total

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