The Natural Variants of the Streptococcus NAD+-glycohydrolase SPN Modulate Divergent Host Cell Signaling Pathways and Death

Streptococcus pyogenes has an arsenal of virulence factors that promote its ability to cause a broad range of diseases and fight host defenses. One of these factors is the S. pyogenes NAD+-glycohydrolase (SPN), which is secreted from the bacterial cell and translocated into the host cell cytosol where it contributes to cell death. Every strain examined to date has SPN and recent studies suggest that SPN is continuing to evolve diverging into two variants that correlate with tissue tropism, one of which lacks the signature NADase activity. SPN\u27s roles in both cytotoxicity and niche selection are unknown. To gain insight into the forces driving the adaptation of SPN, a detailed comparison of representative glycohydrolase activity-proficient and -deficient variants was conducted. Out of a total 454 amino acids, the glycohydrolase activity-deficient variants differed at only 9 highly conserved positions. A mutational approach to exchange these residues between variants revealed that reciprocal changes at 3 specific residues were required to both abolish activity of the proficient version and restore full activity to the deficient variant. Remarkably, all versions of SPN were equally cytotoxic to cultured epithelial cells. However, differences in glycohydrolase activity had a significant influence in cell signaling resulting in cellular necrosis and the subsequent inflammatory response. Necrosis requires SLO, which activates JNK and PARP. However, in combination with the NADase active SPN cells underwent a glycolytic cell death through the depletion of NAD+ and ATP. As a consequence of active SPN, these cells were unable to accumulate PAR despite PARP activation. These effects were associated with the release of HMGB-1 from the nucleus and low levels of Il-8 and TNF alpha production. In contrast, the NADase inactive SPN accumulated PAR and underwent a JNK mediated cell death. These events likely contribute to the increased Il-8 and TNF alpha production seen in these infections however HMGB-1 is not released as in the NADase inactive infections. Taken together, these data indicate that the glycohydrolase activity of SPN is not the only contribution the toxin has to the pathogenesis of S. pyogenes and that both versions of SPN play an important role during infection

The NADase-Negative Variant of the Streptococcus pyogenes Toxin NAD+ Glycohydrolase Induces JNK1-Mediated Programmed Cellular Necrosis

Virulence factors are often multifunctional and contribute to pathogenesis through synergistic mechanisms. For the human pathogen Streptococcus pyogenes, two factors that act synergistically are the S. pyogenes NAD+ glycohydrolase (SPN) and streptolysin O (SLO). Through distinct mechanisms, SLO forms pores in host cell membranes and translocates SPN into the host cell cytosol. Two natural variants of SPN exist, one that exhibits NADase activity and one that lacks this function, and both versions are translocated and act in concert with SLO to cause an accelerated death response in epithelial cells. While NADase+ SPN is known to trigger a metabolic form of necrosis through the depletion of NAD+, the mechanism by which NADase− SPN induces cell death was unknown. In the studies described here, we examined the pathway of NADase− cell death through analysis of activation patterns of mitogen-activated protein kinases (MAPKs). S. pyogenes infection resulted in activation of members of three MAPK subfamilies (p38, ERK, and JNK). However, only JNK was activated in an SLO-specific manner. NADase− SPN induced necrosis in HeLa epithelial cells associated with depolarization of mitochondrial membranes, activation of NF-κB, and the generation of reactive oxygen species. Remarkably, RNA interference (RNAi) silencing of JNK protected cells from NADase−-SPN-mediated necrosis, suggesting that NADase− SPN triggers a form of programmed necrosis dependent on JNK signaling. Taken together, these data demonstrate that SPN acts with SLO to elicit necrosis through two different mechanisms depending on its NADase activity, i.e., metabolic (NADase+) or programmed (NADase−), leading to distinct inflammatory profiles

SARS-CoV-2 Infection Detection by PCR and Serologic Testing in Clinical Practice

Patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can be diagnosed by PCR during acute infection or later in their clinical course by detection of virus-specific antibodies. While in theory complementary, both PCR and serologic tests have practical shortcomings. A retrospective study was performed in order to further define these limitations in a clinical context and to determine how to best utilize these tests in a coherent fashion. A total of 3,075 patients underwent both PCR and serology tests at University of California, Los Angeles (UCLA), in the study period. Among these, 2,731 (89%) had no positive tests at all, 73 (2%) had a positive PCR test and only negative serology tests, 144 (5%) had a positive serology test and only negative PCR tests, and 127 (4%) had positive PCR and serology tests. Approximately half of the patients with discordant results (i.e., PCR positive and serology negative or vice versa) had mistimed tests in reference to the course of their disease. PCR-positive patients who were asymptomatic or pregnant were less likely to generate a detectable humoral immune response to SARS-CoV-2. On a quantitative level, the log number of days between symptom onset and PCR test was positively correlated with cycle threshold (CT) values. However, there was no apparent relationship between PCR CT and serologic (arbitrary units per milliliter) results

Performance Characteristics of Severe Acute Respiratory Syndrome Coronavirus 2 RT-PCR Tests in a Single Health System: Analysis of >10,000 Results from Three Different Assays.

The current pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in the approval of numerous molecular diagnostic assays with various performance and technical capacities. There are limited data comparing performance among assays. We conducted a retrospective analysis of >10,000 test results among three widely used RT-PCR assays for coronavirus disease 2019 (CDC, Simplexa Direct, and TaqPath) to assess performance characteristics. We also retested remnant weakly positive specimens to assess analytical sensitivity. All assays had strong linear correlation and little bias among CT values for PCR targets. In patients with first-test negative results (n = 811), most (795, 98.0%) remained negative for all subsequent testing. Retesting of weakly positive specimens (CT > 30) showed sensitivities as follows: TaqPath (97.8%), CDC (91%), Simplexa (75.3%). Our analysis showed no performance difference among PCR targets within the same assay, suggesting a single target is sufficient for SARS-CoV-2 detection. Lower respiratory tract specimens had a higher negative predictive value (100%) than upper respiratory tract specimens (98%), highlighting the utility of testing lower respiratory tract specimens when clinically indicated. Negative predictive value did not increase on further repeated testing, providing strong evidence for discouraging unnecessary repeated testing for SARS-CoV-2

Validation, Implementation, and Clinical Utility of Whole Genome Sequence-Based Bacterial Identification in the Clinical Microbiology Laboratory.

The application of next-generation sequencing extends from microbial identification to epidemiologic insight and antimicrobial resistance prediction. Despite this potential, the roadblock for clinical laboratories lies in implementation and validation of such complex technology and data analysis. Herein, a validation study used whole-genome sequencing (WGS) for pan-bacterial identification (ID) in a clinical laboratory, and assessed its clinical relevance. A diverse set of 125 bacterial isolates, including a subset without genus (25) and/or species (10) ID, were analyzed by de novo assembly and reference genome mapping. The 16S rRNA, rpoB, and groEL genes were used for ID. Using WGS, 100% (89 of 89) and 89% (79 of 89) of isolates were identified at the genus and species-levels, respectively. WGS also provided improved results for 71% (25/35) isolates originally reported with genus-only or descriptive IDs. Chart review identified cases in which improved genus and/or species-level ID by WGS may have had a positive impact on patient care. Reasons included the use of an ineffective antibiotic owing to unclear ID, use of antibiotics when not clinically indicated, and help with an outbreak investigation. The implementation of next-generation sequencing in a clinical microbiology setting is a challenging but necessary task. This study provides a model for the validation and implementation of bacterial ID by WGS in such a setting

Fungal Whole-Genome Sequencing for Species Identification: From Test Development to Clinical Utilization

Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and Aspergillus genus (using the beta-tubulin gene and k-mer tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population

Fungal Whole-Genome Sequencing for Species Identification: From Test Development to Clinical Utilization.

Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and Aspergillus genus (using the beta-tubulin gene and k-mer tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population