A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno_[coreceptor] and PSSM_x4r5. Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log₁₀ viral load change at week 8 was −2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were −1.2 for TF-ES or the Reflex Test and −1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.

Monitoring new mutations in SARS-CoV-2 provides crucial information for identifying diagnostic and therapeutic targets and important insights to achieve a more effective COVID-19 control strategy. Next generation sequencing (NGS) technologies have been widely used for whole genome sequencing (WGS) of SARS-CoV-2. While various NGS methods have been reported, one chief limitation has been the complexity of the workflow, limiting the scalability. Here, we overcome this limitation by designing a laboratory workflow optimized for high-throughput studies. The workflow utilizes modified ARTIC network v3 primers for SARS-CoV-2 whole genome amplification. NGS libraries were prepared by a 2-step PCR method, similar to a previously reported tailed PCR method, with further optimizations to improve amplicon balance, to minimize amplicon dropout for viral genomes harboring primer-binding site mutation(s), and to integrate robotic liquid handlers. Validation studies demonstrated that the optimized workflow can process up to 2688 samples in a single sequencing run without compromising sensitivity and accuracy and with fewer amplicon dropout events compared to the standard ARTIC protocol. We additionally report results for over 65,000 SARS-CoV-2 whole genome sequences from clinical specimens collected in the United States between January and September of 2021, as part of an ongoing national genomics surveillance effort.

Background: Genomic surveillance efforts for SARS-CoV-2 are needed to understand the epidemiology of the COVID-19 pandemic. Viral variants may impact routine diagnostic testing, increase viral transmissibility, cause differences in disease severity, have decreased susceptibility to therapeutics, and/or confer the ability to evade host immunity. While viral whole-genome sequencing (WGS) has played a leading role in surveillance programs, many laboratories lack the expertise and resources for performing WGS. This study describes the performance of multiplexed real-time reverse transcription-PCR (RT-PCR) assays for identification of SARS-CoV-2 variants.Methods: SARS-CoV-2 specimens were tested for spike-gene variants using a combination of allele-specific primer and allele-specific detection technology (PlexPrime^® and PlexZyme^®). Targeted detection of spike gene mutations by RT-PCR was compared to variant detection in positive specimens by WGS, including the recently emerged SARS-CoV-2 Omicron variant.Results: A total of 398 SAR-CoV-2 RT-PCR positive and 39 negative specimens previously tested by WGS were re-tested by RT-PCR genotyping. PCR detection of spike gene mutations N501Y, E484K, and S982A correlated 100% with WGS for the 29 lineages represented, including Alpha (B.1.1.7), Beta (B.1.351), and Gamma (P.1). Incorporating the P681R spike gene mutation also allowed screening for the SARS-CoV-2 Delta variant (B.1.617.2 and AY sublineages). Further sampling of 664 specimens that were screened by WGS between June and August 2021 and then re-tested by RT-PCR showed strong agreement for Delta variant positivity: 34.5% for WGS vs 32.9% for RT-PCR in June; 100% vs 97.8% in August. In a blinded panel of 16 Omicron and 16 Delta specimens, results of RT-PCR were 100% concordant with WGS results.Conclusions: These data demonstrate that multiplexed real-time RT-PCR genotyping has strong agreement with WGS and may provide additional SARS-CoV-2 variant screening capabilities when WGS is unavailable or cost-prohibitive. RT-PCR genotyping assays may also supplement existing sequencing efforts while providing rapid results at or near the time of diagnosis to help guide patient management.

Nucleic acid amplification testing is a critical tool for addressing the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic. Specimen pooling can increase throughput and conserve testing resources but requires validation to ensure that reduced sensitivity does not increase the false-negative rate. We evaluated the performance of a real time reverse transcription PCR (RT-PCR) test authorized by the U.S. Food and Drug Administration (FDA) for emergency use for pooled testing of upper respiratory specimens. Positive specimens were selected from three prevalence groups, 1-3%, >3-6%, and >6-10%. Positive percent agreement (PPA) was assessed by pooling single-positive specimens with three negative specimens; performance was assessed using Passing-Bablok regression. Additionally, we assessed the distributions of RT-PCR cycle threshold (Ct) values for 3,091 positive specimens. PPA was 100% for the 101 pooled specimens. There was a linear relationship between Ct values for pooled and single-tested specimens (r: 0.96-0.99, slope ≈ 1). The mean pooled Ct shifts at 40 cycles were 2.38 and 1.90 respectively for the N1 and N3 targets. The median Cts for 3,091 positive specimens were 25.9 (N1) and 24.7 (N3). The percent of positive specimens with Cts between 40 and the shifted Ct was 1.42% (N1) and 0.0% (N3). Pooled and individual testing of specimens positive for SARS-CoV-2 demonstrated 100% agreement and demonstrate the viability of pooled specimens for SARS-COV-2 testing using a dual-target RT-PCR system. Pooled specimen testing can help increase testing capacity for SARS-CoV-2, with a low risk of false-negative results.