GeneRaMeN enables integration, comparison, and meta-analysis of multiple ranked gene lists to identify consensus, unique, and correlated genes.

High-throughput experiments often produce ranked gene outputs, with forward genetic screening being a notable example. While there are various tools for analyzing individual datasets, those that perform comparative and meta-analytical examination of such ranked gene lists remain scarce. Here, we introduce Gene Rank Meta Analyzer (GeneRaMeN), an R Shiny tool utilizing rank statistics to facilitate the identification of consensus, unique, and correlated genes across multiple hit lists. We focused on two key topics to showcase GeneRaMeN: virus host factors and cancer dependencies. Using GeneRaMeN 'Rank Aggregation', we integrated 24 published and new flavivirus genetic screening datasets, including dengue, Japanese encephalitis, and Zika viruses. This meta-analysis yielded a consensus list of flavivirus host factors, elucidating the significant influence of cell line selection on screening outcomes. Similar analysis on 13 SARS-CoV-2 CRISPR screening datasets highlighted the pivotal role of meta-analysis in revealing redundant biological pathways exploited by the virus to enter human cells. Such redundancy was further underscored using GeneRaMeN's 'Rank Correlation', where a strong negative correlation was observed for host factors implicated in one entry pathway versus the alternate route. Utilizing GeneRaMeN's 'Rank Uniqueness', we analyzed human coronaviruses 229E, OC43, and SARS-CoV-2 datasets, identifying host factors uniquely associated with a defined subset of the screening datasets. Similar analyses were performed on over 1000 Cancer Dependency Map (DepMap) datasets spanning 19 human cancer types to reveal unique cancer vulnerabilities for each organ/tissue. GeneRaMeN, an efficient tool to integrate and maximize the usability of genetic screening datasets, is freely accessible via https://ysolab.shinyapps.io/GeneRaMeN.

Rosuvastatin adjunctive therapy for rifampicin-susceptible pulmonary tuberculosis: a phase 2b, randomised, open-label, multicentre trial.

BACKGROUND: Shorter treatments are needed for drug-susceptible tuberculosis. Adjunctive statins increase bactericidal activity in preclinical tuberculosis models. We investigated the safety and efficacy of adjunctive rosuvastatin in people with tuberculosis. We tested the hypothesis that adjunctive rosuvastatin accelerates sputum culture conversion within the first 8 weeks of treatment of rifampicin-susceptible tuberculosis. METHODS: This phase 2b, randomised, open-label, multicentre trial conducted in five hospitals or clinics in three countries with high tuberculosis burden (ie, the Philippines, Viet Nam, and Uganda) enrolled adult participants aged 18-75 years with sputum smear or Xpert MTB/RIF positive, rifampicin-susceptible tuberculosis who had received less than 7 days of previous tuberculosis treatment. Participants were randomly assigned via a web-based system to receive either 10 mg rosuvastatin once per day for 8 weeks plus standard tuberculosis therapy (rifampicin, isoniazid, pyrazinamide, and ethambutol; rosuvastatin group) or standard tuberculosis therapy alone (control group). Randomisation was stratified by trial site, history of diabetes, and HIV co-infection. Laboratory staff and central investigators involved in data cleaning and analysis were masked to treatment allocation, but study participants and site investigators were not. Both groups continued standard treatment to week 24. Sputum samples were collected once per week for the first 8 weeks after randomisation, and then at weeks 10, 12, and 24. The primary efficacy outcome was time to culture conversion (TTCC; days) in liquid culture by week 8, assessed in randomised participants who had microbiological confirmation of tuberculosis, took at least one dose of rosuvastatin, and who did not show resistance to rifampicin (modified intention-to-treat population), for which groups were compared with the Cox proportional hazards model. The main safety outcome was grade 3-5 adverse events by week 24, assessed in the intention-to-treat population, for which groups were compared with Fisher's exact test. All participants completed 24 weeks of follow-up. This trial is registered with ClinicalTrials.gov (NCT04504851). FINDINGS: Between Sept 2, 2020, and Jan 14, 2021, 174 participants were screened and 137 were randomly assigned to the rosuvastatin group (70 participants) or control group (67 participants). In the modified intention-to-treat population of 135 participants, 102 (76%) were men and 33 (24%) were women. Median TTCC in liquid media was 42 days (95% CI 35-49) in the rosuvastatin group (68 participants) and 42 days (36-53) in the control group (67 participants; hazard ratio 1·30 [0·88-1·91], p=0·19). Grade 3-5 adverse events occurred in six (9%) of 70 in the rosuvastatin group (none were considered related to rosuvastatin) and four (6%) of 67 in the control group (p=0·75). There were no serious adverse events that were considered to be related to rosuvastatin. INTERPRETATION: Adjunctive rosuvastatin at 10 mg once per day was safe but did not produce substantive benefits on culture conversion in the overall study population. Future trials could explore the safety and efficacy of higher doses of adjunctive rosuvastatin. FUNDING: National Medical Research Council, Singapore.

Immunoassay-Compatible Inactivation of SARS-CoV-2 in Plasma Samples for Enhanced Handling Safety.

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) inactivation is an important step toward enhanced biosafety in testing facilities and affords a reduction in the biocontainment level necessary for handling virus-positive biological specimens. Virus inactivation methods commonly employ heat, detergents, or combinations thereof. In this work, we address the dearth of information on the efficacy of SARS-CoV-2 inactivation procedures in plasma and their downstream impact on immunoassays. We evaluated the effects of heat (56 °C for 30 min), detergent (1-5% Triton X-100), and solvent-detergent (SD) combinations [0.3-1% tri-n-butyl phosphate (TNBP) and 1-2% Triton X-100] on 19 immunoassays across different assay formats. Treatments are deemed immunoassay-compatible when the average and range of percentage recovery (treated concentration relative to untreated concentration) lie between 90-110 and 80-120%, respectively. We show that SD treatment (0.3% TNBP/1% Triton-X100) is compatible with more than half of the downstream immunoassays tested and is effective in reducing SARS-CoV-2 infectivity in plasma to below detectable levels in plaque assays. This facile method offers enhanced safety for laboratory workers handling biological specimens in clinical and research settings.

A blood RNA transcriptome signature for COVID-19.

BACKGROUND: COVID-19 is a respiratory viral infection with unique features including a more chronic course and systemic disease manifestations including multiple organ involvement; and there are differences in disease severity between ethnic groups. The immunological basis for disease has not been fully characterised. Analysis of whole-blood RNA expression may provide valuable information on disease pathogenesis. METHODS: We studied 45 patients with confirmed COVID-19 infection within 10 days from onset of illness and a control group of 19 asymptomatic healthy volunteers with no known exposure to COVID-19 in the previous 14 days. Relevant demographic and clinical information was collected and a blood sample was drawn from all participants for whole-blood RNA sequencing. We evaluated differentially-expressed genes in COVID-19 patients (log2 fold change ≥ 1 versus healthy controls; false-discovery rate < 0.05) and associated protein pathways and compared these to published whole-blood signatures for respiratory syncytial virus (RSV) and influenza. We developed a disease score reflecting the overall magnitude of expression of internally-validated genes and assessed the relationship between the disease score and clinical disease parameters. RESULTS: We found 135 differentially-expressed genes in the patients with COVID-19 (median age 35 years; 82% male; 36% Chinese, 53% South Asian ethnicity). Of the 117 induced genes, 14 were found in datasets from RSV and 40 from influenza; 95 genes were unique to COVID-19. Protein pathways were mostly generic responses to viral infections, including apoptosis by P53-associated pathway, but also included some unique pathways such as viral carcinogenesis. There were no major qualitative differences in pathways between ethnic groups. The composite gene-expression score was correlated with the time from onset of symptoms and nasal swab qPCR CT values (both p < 0.01) but was not related to participant age, gender, ethnicity or the presence or absence of chest X-ray abnormalities (all p > 0.05). CONCLUSIONS: The whole-blood transcriptome of COVID-19 has overall similarity with other respiratory infections but there are some unique pathways that merit further exploration to determine clinical relevance. The approach to a disease score may be of value, but needs further validation in a population with a greater range of disease severity.