Human rhinoviruses (HRVs) are the most prevalent human pathogens, and consist of 101 serotypes that are classified into groups A and B according to sequence variations. HRV infections cause a wide spectrum of clinical outcomes ranging from asymptomatic infection to severe lower respiratory symptoms. Defining the role of specific strains in various HRV illnesses has been difficult because traditional serology, which requires viral culture and neutralization tests using 101 serotype-specific antisera, is insensitive and laborious. To directly type HRVs in nasal secretions of infants with frequent respiratory illnesses, we developed a sensitive molecular typing assay based on phylogenetic comparisons of a 260-bp variable sequence in the 5' noncoding region with homologous sequences of the 101 known serotypes. Nasal samples from 26 infants were first tested with a multiplex PCR assay for respiratory viruses, and HRV was the most common virus found (108 of 181 samples). Typing was completed for 101 samples and 103 HRVs were identified. Surprisingly, 54 (52.4%) HRVs did not match any of the known serotypes and had 12–35% nucleotide divergence from the nearest reference HRVs. Of these novel viruses, 9 strains (17 HRVs) segregated from HRVA, HRVB and human enterovirus into a distinct genetic group (“C”). None of these new strains could be cultured in traditional cell lines. By molecular analysis, over 50% of HRV detected in sick infants were previously unrecognized strains, including 9 strains that may represent a new HRV group. These findings indicate that the number of HRV strains is considerably larger than the 101 serotypes identified with traditional diagnostic techniques, and provide evidence of a new HRV group.

We used an in vitro model of differentiated tracheobronchial epithelium to analyze the susceptibility of different cell types to infection with rhinoviruses (RVs). Primary cells from control subjects were cultured in an air-liquid interface to form differentiated epithelia. Suprabasal and basal fractions were separated after trypsin digestion, and cell suspensions were infected with serotypes RV16 and RV1A. These cell fractions were analyzed for expression of viral capsid protein VP2 (flow cytometry), viral replication (real-time PCR), cytokeratin-14, and intercellular adhesion molecule-1 (ICAM-1). Compared with suprabasal fraction, basal cells had increased percentages of cells staining positive for VP2 (RV1A: 37.8% versus 9.1%, P < 0.01; RV16: 12.0 versus 3.0%, P < 0.05). The average number of viral RNA copies per cell was also higher in basal cells (2.2- and 2.4-fold increase in RV1A- and RV16-infected cells, respectively) compared with suprabasal cells. Furthermore, ICAM-1 was expressed by 33.3% of basal cells, compared with 8.1% of suprabasal cells (P < 0.05). Finally, in culture models of epithelial injury (detached suprabasal cells or scratched surface), there was significantly greater replication of RV1A compared with intact cell layer. These findings demonstrate that basal cells are more susceptible to RV infection than suprabasal cells. For major group RV, this may be in part due to increased expression of ICAM-1; however, minor group RV also replicated more effectively in basal cells. These results suggest the possibility that epithelial cell differentiation is associated with the maturation of antiviral defense mechanisms.

Objective. Churg–Strauss syndrome (CSS) is a rare systemic vasculitis associated with eosinophilia and asthma. We assessed the local immune response in airways of CSS patients with different activity of the disease. Methods. Concentration of IL-5, CCL17, CCL22 and CCL26 (ELISA) together with cell expression of T-helper-related genes (real-time PCR array) were measured in bronchoalveolar lavage fluid (BALF) sampled from 11 patients with active CSS, 11 patients with CSS in remission and 9 control subjects with bronchial asthma. Results. In active CSS, both BALF and blood eosinophil counts were increased (P < 0.01). BALF cells in active disease were characterized by an increased expression of Th2 and regulatory-type transcripts: STAT6, STAT3, GATA3, IL4, IL5 and IL10 as compared with asthmatics, and STAT5A, CCR4, FOXP3, IL4, IL5 and IL10 when compared with inactive CSS. There was significant increase in BALF concentration of IL-5 and CCL26 in exacerbation of CSS. CCR4-active chemokines were detected more frequently in active disease. We found a strong positive correlation between clinical parameters of disease activity (BVAS, eosinophilia) and expression of IL4, IL5, IL10 and STAT5A. Conclusion. These results indicate that as compared with asthma, active-CSS patients have much stronger local Th2 response in the airways. Airway cells may contribute to lung eosinophilia in CSS by producing IL-5 and eosinophil active chemokines.

Impaired function of regulatory T-cells (Treg) leads to a failure in immune tolerance and triggers autoimmunity. We analyzed whether the deficiency in Treg in systemic lupus erythematosus (SLE) is accompanied by an increase in effector T-cell responses. We studied the frequencies of IL-17A (Th17) and IFNg (Th1) producing CD4⁺ T-cells by flow cytometric detection of intracellular cytokines in PMA/ionomycin stimulated blood lymphocytes from seven patients with active SLE, eight with SLE in remission, and 11 healthy controls. Circulating Treg were evaluated as CD4⁺CD25⁺ lymphocytes expressing FoxP3. There was no difference in the percentage of Treg cells between the groups, but their absolute counts were decreased in active SLE (5 [1–7] cells/μL) compared to inactive SLE (11 [6–15]; p = 0.05) and healthy controls (16 [10–20]; p < 0.01). Both the frequency and numbers of Th1 cells were decreased in SLE compared to controls. No difference was observed in the number of Th17 cells, which resulted in a decreased Th1/Th17 ratio. In parallel, a higher Treg/Th17 ratio in healthy controls (2.2 [1.8–3.6]) compared to active SLE (1.1 [1.0–2.1]; p < 0.05) was observed. There was a correlation between the number of Treg cells and disease activity status (SLEDAI, r = –0.59). SLE patients in the active phase of the disease are characterized by a deficiency in Treg cells and decreased Treg/Th17 ratio. This suggests that the imbalance between major T-cells subsets might be responsible for an increased proinflammatory response in the exacerbation of SLE. (Folia Histochemica et Cytobiologica 2011; Vol. 49, No. 4, pp. 646–653) Impaired function of regulatory T-cells (Treg) leads to a failure in immune tolerance and triggers autoimmunity. We analyzed whether the deficiency in Treg in systemic lupus erythematosus (SLE) is accompanied by an increase in effector T-cell responses. We studied the frequencies of IL-17A (Th17) and IFNg (Th1) producing CD4⁺ T-cells by flow cytometric detection of intracellular cytokines in PMA/ionomycin stimulated blood lymphocytes from seven patients with active SLE, eight with SLE in remission, and 11 healthy controls. Circulating Treg were evaluated as CD4⁺CD25⁺ lymphocytes expressing FoxP3. There was no difference in the percentage of Treg cells between the groups, but their absolute counts were decreased in active SLE (5 [1–7] cells/μL) compared to inactive SLE (11 [6–15]; p = 0.05) and healthy controls (16 [10–20]; p < 0.01). Both the frequency and numbers of Th1 cells were decreased in SLE compared to controls. No difference was observed in the number of Th17 cells, which resulted in a decreased Th1/Th17 ratio. In parallel, a higher Treg/Th17 ratio in healthy controls (2.2 [1.8–3.6]) compared to active SLE (1.1 [1.0–2.1]; p < 0.05) was observed. There was a correlation between the number of Treg cells and disease activity status (SLEDAI, r = –0.59). SLE patients in the active phase of the disease are characterized by a deficiency in Treg cells and decreased Treg/Th17 ratio. This suggests that the imbalance between major T-cells subsets might be responsible for an increased proinflammatory response in the exacerbation of SLE. (Folia Histochemica et Cytobiologica 2011; Vol. 49, No. 4, pp. 646–653)

Cold viruses have generally been considered fairly innocuous until the appearance of the severe acute respiratory coronavirus 2 (SARS-CoV-2) in 2019, which caused the coronavirus disease 2019 (COVID-19) global pandemic. Two previous viruses foreshadowed that a coronavirus could potentially have devastating consequences in 2002 [severe acute respiratory coronavirus (SARS-CoV)] and in 2012 [Middle East respiratory syndrome coronavirus (MERS-CoV)]. The question that arises is why these viruses are so different from the relatively harmless cold viruses. On the basis of an analysis of the current literature and using bioinformatic approaches, we examined the potential human miRNA interactions with the SARS-CoV-2’s genome and compared the miRNA target sites in seven coronavirus genomes that include SARS-CoV-2, MERS-CoV, SARS-CoV, and four nonpathogenic coronaviruses. Here, we discuss the possibility that pathogenic human coronaviruses, including SARS-CoV-2, could modulate host miRNA levels by acting as miRNA sponges to facilitate viral replication and/or to avoid immune responses.