Informative Use of Cycle-Threshold Values to Account for Sampling Variability in Pathogen Detection (preprint)

Nucleic acid amplification tests, like real-time polymerase chain reaction, are widely used for pathogen detection; however, their interpretation rarely accounts for sampling variability. Instead, cycle threshold values are often categorized reducing precision. We describe how pathogen cycle threshold values can be normalized to endogenous host gene expression to correct for sampling variability and compare the validity of this approach to standardization with a standard curve. Normalization serves as a valid alternative to standardization, does not require making a standard curve, increases precision, accounts for sampling variability, and can be easily applied to large clinical or surveillance datasets for informative interpretation.

Nasopharyngeal Angiotensin Converting Enzyme 2 (ACE2) Expression as a Risk-Factor for SARS-CoV-2 Transmission in Concurrent Hospital Associated Outbreaks (preprint)

Background: Widespread human-to-human transmission of the severe acute respiratory syndrome coronavirus two (SARS-CoV-2) stems from a strong affinity for the cellular receptor angiotensin converting enzyme two (ACE2). We investigate the relationship between a patient's nasopharyngeal ACE2 transcription and secondary transmission within a series of concurrent hospital associated SARS-CoV-2 outbreaks in British Columbia, Canada. Methods: Epidemiological case data from the outbreak investigations was merged with public health laboratory records and viral lineage calls, from whole genome sequencing, to reconstruct the concurrent outbreaks using infection tracing transmission network analysis. ACE2 transcription and RNA viral load were measured by quantitative real-time polymerase chain reaction. The transmission network was resolved to calculate the number of potential secondary cases. Bivariate and multivariable analyses using Poisson and Negative Binomial regression models was performed to estimate the association between ACE2 transcription the number of SARS-CoV-2 secondary cases. Results: The infection tracing transmission network provided n = 76 potential transmission events across n = 103 cases. Bivariate comparisons found that on average ACE2 transcription did not differ between patients and healthcare workers (P = 0.86). High ACE2 transcription was observed in 98.6% of transmission events, either the primary or secondary case had above average ACE2. Multivariable analysis found that the association between ACE2 transcription and the number of secondary transmission events differs between patients and healthcare workers. In health care workers Negative Binomial regression estimated that a one unit change in ACE2 transcription decreases the number of secondary cases (B = -0.132 (95%CI: -0.255 to -0.0181) adjusting for RNA viral load. Conversely, in patients a one unit change in ACE2 transcription increases the number of secondary cases (B = 0.187 (95% CI: 0.0101 to 0.370) adjusting for RNA viral load. Sensitivity analysis found no significant relationship between ACE2 and secondary transmission in health care workers and confirmed the positive association among patients. Conclusion: Our study suggests that ACE2 transcription has a positive association with SARS-CoV-2 secondary transmission in admitted inpatients, but not health care workers in concurrent hospital associated outbreaks, and it should be further investigated as a risk-factor for viral transmission.

Characterizing Longitudinal Antibody Responses in Recovered Individuals Following COVID-19 Infection and Single-Dose Vaccination in British Columbia, Canada: a Prospective Cohort Study (preprint)

Background: Investigating antibody titres in individuals who have been both naturally infected with SARS-CoV-2 and vaccinated can provide insight into antibody dynamics and correlates of protection over time. Methods: Human coronavirus (HCoV) IgG antibodies were measured longitudinally in a prospective cohort of PCR-confirmed, COVID-19 recovered individuals (k=57) in British Columbia pre- and post-vaccination. SARS-CoV-2 and endemic HCoV antibodies were measured in serum collected between Nov. 2020 and Sept. 2021 (n=341). Primary analysis used a linear mixed-effects model to understand the effect of single dose vaccination on antibody concentrations adjusting for biological sex, age, time from infection and vaccination. Secondary analysis investigated the cumulative incidence of high SARS-CoV-2 anti-spike IgG seroreactivity equal to or greater than 5.5 log10 AU/mL up to 105 days post-vaccination. No re-infections were detected in vaccinated participants, post-vaccination by qRT-PCR performed on self-collected nasopharyngeal specimens. Results: Bivariate analysis (complete data for 42 participants, 270 samples over 472 days) found SARS-CoV-2 spike and RBD antibodies increased 14-56 days post-vaccination (p<0.001) and vaccination prevented waning (B=1.66 [95%CI: 1.45-3.46]); while decline of nucleocapsid antibodies over time was observed (B=-0.24 [95%CI: -1.2-(-0.12)]). A non-significant trend towards higher spike antibodies against endemic beta-HCoVs was also noted. On average, SARS-CoV-2 anti-spike IgG concentration increased in participants who received one vaccine dose by 2.06 log10 AU/mL (95%CI: 1.45-3.46) adjusting for age, biological sex, and time. Cumulative incidence of high SARS-CoV-2 spike antibodies (>5.5 log10 AU/mL) was 83% greater in vaccinated compared to unvaccinated individuals. Conclusions: Our study confirms that vaccination post-SARS-CoV-2 infection provides multiple benefits, such as increasing anti-spike IgG titers and preventing decay up to 85 days post-vaccination.

Performance of Immunoglobulin G Serology on Finger Prick Capillary Dried Blood Spot Samples to Measure SARS-CoV-2 Humoral Immunogenicity (preprint)

Abstract: Importance: Measuring humoral immunogenicity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) vaccines and finding population-level correlates of protection against coronavirus disease (COVID-19) presents an immediate challenge to public health practitioners. Objective: To study the diagnostic accuracy and predictive value of finger prick capillary dried blood spot (DBS) samples tested using an anti-immunoglobulin G (IgG) serology assay to measure SARS-CoV-2 seropositivity and the humoral immunogenicity of COVID-19 vaccination. Design, Setting and Participants: This cross-sectional study enrolled participants (n= 644) who had paired DBS and serum samples collected by finger prick and venipuncture, respectively, in British Columbia, Canada between January 12th, 2020 and May 21st, 2021. Samples were tested by a multiplex electrochemiluminescence assay for SARS-CoV-2 anti-Spike (S), -Nucleocapsid (N) and -receptor binding domain (RBD) IgG reactivity using a Meso Scale Discovery (MSD) platform. Additionally, unpaired DBS samples (n= 6,706) that were collected in the province during the same time period were included for analysis of SARS-CoV-2 anti-N IgG reactivity. Exposure: Collection of a capillary DBS by finger prick alone or paired with serum by venipuncture. Outcome: Humoral immune response to SARS-CoV-2 measured by detection of anti-S, -N or -RBD IgG. Results: In comparison to a paired-serum reference, DBS samples possessed a sensitivity of 80% (95% CI: 61%-91%) and specificity of 97% (95% CI: 95%-98%). Receiver operator characteristic curve analysis (ROC) found that participant DBS samples tested for anti-SARS-CoV-2 IgG by MSD V-PLEX COVID-19 Coronavirus Panel 2 assay accurately classify SARS-CoV-2 seroconversion at an 88% percent rate, AUC= 88% (95% CI: 81%-96%). Modelling found that a DBS-based testing approach has a high positive predictive value (PPV) (98% [95% CI: 98%-99%]) in a theoretical population with seventy-five percent COVID-19 vaccine coverage. At lower vaccine coverages of fifteen and forty-five percent, the test's PPV decreased and the negative predictive value increased. Conclusion: We demonstrate that DBS samples, when tested using an electrochemiluminescence assay, provide a valid alternative to traditional venipuncture and should be considered to reliably detect SARS-CoV-2 seropositivity.

Optimization of magnetic bead-based nucleic acid extraction for SARS-CoV-2 testing using readily available reagents (preprint)

The COVID-19 pandemic has highlighted the need for generic reagents and flexible systems in diagnostic testing. Magnetic bead-based nucleic acid extraction protocols using 96-well plates on open liquid handlers are readily amenable to meet this need. Here, one such approach is rigorously optimized to minimize cross-well contamination while maintaining sensitivity.

The Contrasting Role of Nasopharyngeal Angiotensin Converting Enzyme 2 (ACE2) Expression in SARS-CoV-2 Infection: A Cross-Sectional Study of People Tested for COVID-19 in British Columbia (preprint)

BackgroundAngiotensin converting enzyme 2 (ACE2) serves as the host receptor for SARS-CoV-2, with a critical role in viral infection. We aim to understand population level variation of nasopharyngeal ACE2 expression in people tested for COVID-19 and the relationship between ACE2 expression and SARS-CoV-2 viral RNA load, while adjusting for expression of the complementary protease, Transmembrane serine protease 2 (TMPRSS2), soluble ACE2, age, and biological sex. MethodsA cross-sectional study of n=424 participants aged 1-104 years referred for COVID-19 testing was performed in British Columbia, Canada. Participants who tested negative or positive for COVID-19 were matched by age and biological sex. Viral and host gene expression was measured by quantitative reverse-transcriptase polymerase chain reaction. Bivariate analysis and multiple linear regression were performed to understand the role of nasopharyngeal ACE2 expression in SARS-CoV-2 infection. The ACE2 gene was targeted to measure expression of transmembrane and soluble transcripts. FindingsAnalysis shows no association between age and nasopharyngeal ACE2 expression in those who tested negative for COVID-19 (P=0{middle dot}092). Mean expression of transmembrane (P=1{middle dot}2e-4), soluble ACE2 (P<0{middle dot}0001) and TMPRSS2 (P<0{middle dot}0001) differed between COVID-19-negative and -positive groups. In bivariate analysis of COVID-19-positive participants, expression of transmembrane ACE2 positively correlated with SARS-CoV-2 RNA viral load (P<0{middle dot}0001), expression of soluble ACE2 negatively correlated (P<0{middle dot}0001), and no correlation was found with TMPRSS2 (P=0{middle dot}694). Multivariable analysis showed that the greatest viral RNA loads were observed in participants with high transmembrane ACE2 expression (B=0{middle dot}886, 95%CI:[0{middle dot}596 to 1{middle dot}18]), while expression of soluble ACE2 may protect against high viral RNA load in the upper respiratory tract (B= -0{middle dot}0990, 95%CI:[-0{middle dot}176 to -0{middle dot}0224]). InterpretationNasopharyngeal ACE2 expression plays a dual, contrasting role in SARS-CoV-2 infection of the upper respiratory tract. Transmembrane ACE2 positively correlates, while soluble ACE2 negatively correlates with viral RNA load after adjusting for age, biological sex and expression of TMPRSS2. FundingThis project (COV-55) was funded by Genome British Columbia as part of their COVID-19 rapid response initiative.