Background Rapid antigen tests are widely used to diagnose influenza. However, despite their simplicity and short turnover time, the sensitivity of these tests is relatively low, and molecular tests with greater sensitivity are being sought. In this study, we developed and clinically evaluated a protocol for the rapid multiplex testing of influenza A and B, using a rapid real-time PCR system, GeneSoC®, that is based on microfluidic thermal cycling technology.Methods The specificity of the developed assay was validated using cultured viral strains of influenza A/B, human metapneumovirus, and respiratory syncytial virus. Analytical sensitivity was evaluated using serially diluted RNA synthesized via in vitro transcription and nasopharyngeal swab samples collected from consecutive patients seeking medical attention for a combination of upper respiratory and general symptoms. Cross-validation of GeneSoC® based on comparisons with conventional real-time RT-PCR and rapid antigen tests was performed by parallel testing of influenza-positive clinical specimens.Results The GeneSoC® assay detected the target sequences of influenza A and B at minimum concentrations of 38 and 65 copies/µL in reaction, respectively. For the analysis of clinical specimens, the positive, negative, and overall agreement between GeneSoC® RT-PCR and a conventional real-time RT-PCR was in all cases 100%, whereas for the comparison between GeneSoC® RT-PCR and the rapid antigen test, the agreements for positive, negative, and overall findings were 100%, 90.9%, and 95.7%, respectively. The mean time for completing GeneSoC® RT-PCR was 16 min 29 s (95% confidence interval, 16 min 18 s to 16 min 39 s).Conclusion The microfluidic real-time PCR system, GeneSoC®, has an analytical performance comparable to that of conventional real-time RT-PCR with rapid turnover time, and represents a promising alternative to rapid antigen tests for diagnosing influenza A and B.

UL-16 binding protein 2 (ULBP2), a human NKG2D ligand, has been identified as a poor prognostic factor in several cancers based on recent comprehensive analyses of immune-related genes using the Cancer Genome Atlas datasets. Despite its clinical significance, the functional role of ULBP2 in vivo remains largely unknown. In this study, we investigated the role of ULBP2 in modulating anti-tumor immunity using murine melanoma cell lines engineered to stably express surface-expressed or soluble ULBP2. Subcutaneous transplantation of ULBP2-expressing melanoma cells into syngeneic mice resulted in accelerated tumor growth, mediated by surface-expressed ULBP2, through the suppression of NKG2D-dependent immune responses. In vitro experiments revealed that sustained exposure to tumor-expressed ULBP2 reduced NKG2D expression and cytotoxic activity of splenocytes. In contrast, soluble ULBP2 did not significantly affect tumor growth or immune responses. These findings suggest that surface-expressed ULBP2 plays a pivotal role in tumor immune evasion and highlight its potential as a therapeutic target to enhance anti-tumor immunity.

Persistent SARS-CoV-2 infections involve prolonged viral replication and immune system interactions, potentially driving viral evolution and immune escape. This study examines viral characteristics and host gene expression changes in persistent infections. The nasopharyngeal samples from four patients with persistent SARS-CoV-2 infections at Tottori University Hospital, Japan, were analyzed. Viral isolates were cultured, and infectivity was assessed using TCID₅₀ assays. To investigate host responses, RNA sequencing (RNA-seq) was performed to identify differentially expressed genes (DEGs), and Gene Ontology (GO) enrichment analysis mapped affected biological pathways. Viral genome sequencing detected mutations associated with prolonged infection. The results showed significant infectivity differences between early- and late-phase infection. Gene expression analysis revealed a strong early phase of pro-inflammatory response (IL6, TNF, IL1B, CXCL10) followed by immune suppression. GO enrichment analysis highlighted inflammation and cytokine-mediated immune pathways. Genomic sequencing identified mutations in ORF1ab and the spike (S) protein, potentially aiding immune escape. The findings underscore that SARS-CoV-2 adapts during persistent infections, altering infectivity and immune responses. These highlight the need for continued monitoring of prolonged infections to mitigate immune escape and viral evolution.

UL16-binding protein 2 (ULBP2), a ligand for the activating receptor NKG2D, plays a dual role in tumor immunity, promoting immune activation or suppression, depending on the context. To investigate its impact on CD4⁺CD25⁺ T cell-targeted immunotherapies, we used a syngeneic CT26 colon cancer model engineered to express ULBP2 and compared tumor growth and tumor-infiltrating lymphocyte (TIL) profiles in control and ULBP2-expressing tumors treated with anti-CD4, anti-CD25, or anti-CTLA-4 antibodies. Tumor growth was uniformly assessed on day 21 post-transplantation, and TIL analysis was performed in groups with evaluable residual tumors. Anti-CD4 antibody significantly suppressed tumor growth in mock-transfected tumors, while no significant suppression was observed in ULBP2-expressing tumors. Anti-CD25 antibody had limited efficacy in mock tumors and tended to promote tumor growth in ULBP2-expressing tumors. Following these treatments, ULBP2 expression was associated with reduced NKG2D expression in CD8⁺ effector memory T cells, particularly PD-1^high subsets. In contrast, anti-CTLA-4 antibody treatment induced marked tumor regression irrespective of ULBP2 expression. These findings suggest that ULBP2–NKG2D signaling may contribute to altered CD8⁺ T cell phenotypes under T cell-modulatory conditions, potentially impacting the outcome of CD4⁺CD25⁺ T cell-targeted therapies and providing insights for optimizing immunotherapeutic strategies.

Background The soluble form of NKG2D (sNKG2D) ligands has been implicated in the severity of coronavirus disease-2019 (COVID-19). However, their longitudinal dynamics from the acute phase to hospital discharge and their relationships with clinical parameters are unclear. This study aimed to investigate the longitudinal dynamics of these ligands and determine their relationship with clinical parameters.Methods This retrospective observational cohort study evaluated 64 patients with mild or moderate COVID-19. sULBP-2, soluble MIC-A (sMIC-A), and soluble MIC-B (sMIC-B) concentrations at admission, recovery, and discharge were analyzed. Associations with patient characteristics and laboratory parameters (white blood cell count and C-reactive protein, lactate dehydrogenase, Krebs von den Lungen-6, ferritin, and interleukin-6 levels), natural killer (NK) cell and T cell counts, and severe acute respiratory syndrome coronavirus 2 viral copy numbers were examined. Principal component analysis (PCA) was performed in the moderate group, and the relationship between sNKG2D ligands and clinical parameters using hierarchical cluster analysis.Results Serum sULBP-2 concentrations were significantly higher in the moderate group at both admission and discharge. In contrast, sMIC-A and sMIC-B levels did not significantly differ. Higher sULBP-2 levels at admission persisted until discharge. PCA demonstrated that admission sULBP-2 levels were associated with inflammatory components; admission sMIC-A levels were associated with components related to NK cells and lung injury. Their discharge levels both converged into a shared principal component closely associated with NK cell. Clusters characterized by older age, elevated sULBP-2, and increased inflammatory responses and lung injury markers had worse disease severity.Conclusion NKG2D ligand levels increase via distinct mechanisms during acute COVID-19 but converge toward a shared dynamics during recovery. sULBP-2 is the only sNKG2D ligand related with disease severity, and its elevation persists through discharge, suggesting prolonged impairment of NK cell function after clinical recovery. sULBP-2 may be an important biomarker of disease severity.