Virus-Like Particles as Positive Controls for COVID-19 RT-LAMP Diagnostic Assays.

Reverse transcription loop-mediated isothermal amplification (RT-LAMP) is a rapid and inexpensive isothermal alternative to the current gold standard reverse transcription quantitative polymerase chain reaction (RT-qPCR) for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, unlike RT-qPCR, there are no consensus detection regions or optimal RT-LAMP methods, and most protocols do not include internal controls to ensure reliability. Naked RNAs, plasmids, or even RNA from infectious COVID-19 patients have been used as external positive controls for RT-LAMP assays, but such reagents lack the stability required for full-process control. To overcome the lack of proper internal and external positive controls and the instability of the detection RNA, we developed virus-like particles (VLPs) using bacteriophage Qß and plant virus cowpea chlorotic mottle virus (CCMV) for the encapsidation of target RNA, namely a so-called SARS-CoV-2 LAMP detection module (SLDM). The target RNA is a truncated segment of the SARS-CoV-2 nucleocapsid (N) gene and human RNase P gene (internal control) as positive controls for RT-qPCR and RT-LAMP. Target RNAs stably encapsidated in Qß and CCMV VLPs were previously shown to function as full-process controls in RT-qPCR assays, and here we show that SLDMs can fulfill the same function for RT-LAMP and swab-to-test (direct RT-LAMP with heat lysis) assays. The SLDM was validated in a clinical setting, highlighting the promise of VLPs as positive controls for molecular assays.

Biomimetic Virus-Like Particles as Severe Acute Respiratory Syndrome Coronavirus 2 Diagnostic Tools.

Coronavirus disease 2019 (COVID-19) is a highly transmissible disease that has affected more than 90% of the countries worldwide. At least 17 million individuals have been infected, and some countries are still battling first or second waves of the pandemic. Nucleic acid tests, especially reverse transcription polymerase chain reaction (RT-PCR), have become the workhorse for early detection of COVID-19 infection. Positive controls for the molecular assays have been developed to validate each test and to provide high accuracy. However, most available positive controls require cold-chain distribution and cannot serve as full-process control. To overcome these shortcomings, we report the production of biomimetic virus-like particles (VLPs) as SARS-CoV-2 positive controls. A SARS-CoV-2 detection module for RT-PCR was encapsidated into VLPs from a bacteriophage and a plant virus. The chimeric VLPs were obtained either by in vivo reconstitution and coexpression of the target detection module and coat proteins or by in vitro assembly of purified detection module RNA sequences and coat proteins. These VLP-based positive controls mimic SARS-CoV-2 packaged ribonucleic acid (RNA) while being noninfectious. Most importantly, we demonstrated that the positive controls are scalable, stable, and can serve broadly as controls, from RNA extraction to PCR in clinical settings.

No Evidence of SARS-CoV-2 Seminal Shedding Despite SARS-CoV-2 Persistence in the Upper Respiratory Tract.

RNA viruses (eg, Zika, Ebola, HIV) are often shed in male genital secretions. We evaluated the presence and level of SARS-CoV-2 RNA in semen, nasal secretion, and saliva collected after confirmed infection. SARS-CoV-2 RNA was not detected in semen 6-17 days after the onset of symptoms despite concomitant shedding in oral secretions.

The effect of cell subset isolation method on gene expression in leukocytes.

Multiple scientific disciplines require the isolation of specific subsets of blood cells from patient samples for gene expression analysis by microarray or RNA-sequencing, preserving disease- or treatment-related signatures. However, little is known with respect to the impact of different cell isolation methods on gene expression and the effects of positive selection, negative selection, and fluorescence activated cell sorting (FACS) have not previously been assessed in parallel. To address this knowledge gap, CD4+ T cells, CD8+ T cells, B cells, and monocytes were isolated from blood samples from five independent donors using positive immunomagnetic selection, negative immunomagnetic selection, and FACS. We hypothesized that positive selection and FACS would yield higher purity but may have an impact on gene expression since both methods utilize antibodies that bind surface receptors of the cell type of interest. Moreover, FACS might upregulate stress response genes due to passage of the cells through the sorter. Microarray gene expression data were generated and subjected to unsupervised clustering and differential gene expression analysis. Surprisingly, these analyses revealed that gene expression signatures were more similar between cells isolated by negative selection and FACS compared to cells isolated by positive selection. Moreover, genes that are involved in the response to stress generally had the highest expression in cells isolated by negative or positive selection and not FACS. Thus, FACS is the recommended method for isolation of leukocyte subsets for gene expression studies since this method results in the purest subset populations and does not appear to induce a stress response.

HIV downregulates interferon-stimulated genes in primary macrophages.

HIV is able to outpace the innate immune response, including that mediated by interferon (IFN), to establish a productive infection. Primary macrophages, however, may be protected from HIV infection by treatment with type I IFN before virus exposure. The ability of HIV to modulate the type I IFN-mediated innate immune response when it encounters a cell that has already been exposed to IFN remains poorly defined. The optimal pretreatment time (12 h) and the most potent HIV-inhibitors (e.g., IFN-α2 and -ω) were identified to investigate the ability of HIV to modulate an established type I IFN response. Gene expression at the level of the entire transcriptome was then compared between primary macrophages treated with type I IFNs, as opposed to treated with IFNs and then infected with HIV. Although HIV was not able to establish a robust infection, the virus was able to downregulate a number of IFN-stimulated genes (ISGs) with a fold change greater than 1.5 (i.e., AXL, IFI27, IFI44, IFI44L, ISG15, OAS1, OAS3, and XAF1). The downregulation of OAS1 by the presence of HIV was confirmed by real-time quantitative polymerase chain reaction. In conclusion, even though HIV replication is significantly inhibited by IFN pretreatment, the virus is able to downregulate the transcription of known antiviral ISGs (e.g., IFI44, ISG15, and OAS1).

Gene expression before HAART initiation predicts HIV-infected individuals at risk of poor CD4+ T-cell recovery.

OBJECTIVE: To identify a pre-HAART gene expression signature in peripheral blood mononuclear cells (PBMCs) predictive of CD4 T-cell recovery during HAART in HIV-infected individuals. DESIGN: This retrospective study evaluated PBMC gene expression in 24 recently HIV-infected individuals before the initiation of HAART to identify genes whose expression is predictive of CD4 T-cell recovery after 48 weeks of HAART. METHODS: The change in CD4 T-cell count (DeltaCD4) over the 48-week study period was calculated for each of the 24 participants. Twelve participants were assigned to the 'good' (DeltaCD4 > or = 200 cells/microl) and 12 to the 'poor' (DeltaCD4 < 200 cells/microl) CD4 T-cell recovery group. Gene expression profiling of the entire transcriptome using Illumina BeadChips was performed with PBMC samples obtained before HAART. Gene expression classifiers capable of predicting CD4 T-cell recovery group (good vs. poor), as well as the specific DeltaCD4 value, at week 48 were constructed using methods of Class Prediction. RESULTS: The expression of 40 genes in PBMC samples taken before HAART predicted CD4 T-cell recovery group (good vs. poor) at week 48 with 100% accuracy. The expression of 22 genes predicted a specific DeltaCD4 value for each HIV-infected individual that correlated well with actual values (R = 0.82). Predicted DeltaCD4 values were also used to assign individuals to good vs. poor CD4 T-cell recovery groups with 79% accuracy. CONCLUSION: Gene expression in PBMCs can be used as biomarkers to successfully predict disease outcomes among HIV-infected individuals treated with HAART.

Upregulation of NRG-1 and VAMP-1 in human brain aggregates exposed to clozapine.

Growing genetic evidence has implicated a role for neuregulin-1 (NRG-1) in schizophrenia pathogenesis as well as alterations in SNAP receptor (SNARE) proteins at both gene and protein levels in post-mortem investigations. In relation to a potential therapeutic mechanism for atypical antipsychotic medications, clozapine has been shown to increase both NRG-1 levels and synaptic markers in rodents. As evidence continues to mount for a potential restoration in connectivity by antipsychotic medications being a mode of efficacy we chose to examine the effects of the atypical antipsychotic clozapine and the typical antipsychotic haloperidol on NRG-1 and SNARE protein transcripts in human brain aggregates exposed to plasma levels chronically for a period of three weeks. At the end of this exposure period we performed quantitative real-time PCR to investigate the mRNA levels of NRG-1, VAMP-1 and SNAP-25. Overall we found that clozapine had the ability to upregulate NRG-1 (+3.58 fold change) and VAMP-1 (+1.92) while SNAP-25 remained unchanged. Changes for haloperidol exposed aggregates were below our cut-off of +1.5. Overall the results of our investigation lend further support to atypical antipsychotic medications having the potential to increase levels of neurotrophic and synaptic markers such as NRG-1 and VAMP-1, the former being a strong candidate susceptibility gene for schizophrenia. In the absence of frank neuronal loss in schizophrenia, restoration of neuronal and synaptic functions by atypical antipsychotics in the brains of schizophrenics maybe a key mechanism of therapeutic efficacy by re-establishing normal connectivity and functioning.

Interferon gene expression following HIV type 1 infection of monocyte-derived macrophages.

Macrophages represent one of the primary targets of HIV-1 infection. Changes in gene expression in primary human monocyte-derived macrophages following virus exposure were assessed using oligonucleotide arrays. Over a third of the 100 most modulated genes belonged to the interferon system. Upregulated interferon-stimulated genes included those essential for the innate immune response and also those involved in interferon and virus signal transduction from the cell surface. The promoter regions of a cluster of highly upregulated interferon-stimulated genes were analyzed for common regulatory elements. The nuclear factor in activated T cells (NFAT) and members of the interferon family of transcription factors appeared to be responsible for the upregulation of this set of interferon-stimulated genes following HIV-1 exposure.

Surface CD4 expression modulated by a cellular factor induced by HIV type 1 infection.

Human immunodeficiency virus type 1 (HIV-1) alters gene expression in infected cells, leading to cellular dysfunction. We uncovered a number of host cell genes that are modulated in both CD4(+) T cell lines and primary CD4(+) T lymphocytes infected with HIV-1, using high-density oligonucleotide probe microarray technology. We focused on one gene in particular, nuclear factor I-B2 (NFI-B2), because of its high level of expression. NFI-B2 is a member of the nuclear factor I family of nuclear proteins, which are known to be involved in viral and cellular transcription. To better understand the role of NFI-B2 during HIV-1 infection, we generated a Jurkat T cell line that constitutively expressed NFI-B2. After infection with HIV-1, these cells produced fewer viruses because of a downregulation of surface CD4 expression. The surface expression of the coreceptor, CXCR4, remained unchanged. Furthermore, levels of CD4 mRNA were reduced in NFI-B2-producing cells, suggesting that expression of NFI-B2 impairs CD4 transcription. Modulation of NFI-B2 by HIV-1 may represent yet another mechanism by which HIV infection reduces cell surface expression of CD4.

Gene expression analysis of osteoblastic cells contacted by orthopedic implant particles.

Particles generated from orthopedic implants through years of wear play an essential role in the aseptic loosening of a prosthesis. We have investigated the biocompatibility of these orthopedic particles on different osteoblast-like cells representative of different stages of osteoblast maturation. We found the particles induced a caspase-dependent apoptosis of osteoblasts, with less mature osteoblasts being the most susceptible. An analysis of gene expression was performed on the less mature osteoblasts, which were in contact with the particles. We found that the particles had a profound impact on genes that code for inflammatory cytokines and genes involved in controlling the nuclear architecture. Results from this study suggest that the peri-implant osteolysis after a total joint replacement can be due in part to a decrease of bone formation and not solely to an overstimulation of bone resorption as is generally proposed. Development of new drugs that promote normal bone formation and osteoblast survival would possibly control peri-implant osteolysis, resulting in a better prognosis for patients with orthopedic implants.