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Avian influenza viruses (AIVs) of H10 subtype are able to circulate in domestic and wild bird populations but can also spill over and adapt to mammals, posing a continuous risk to biodiversity conservation, veterinary health, and public health. In the present study, we assessed the zoonotic potential of nine H10 AIVs isolated from waterbirds during surveillance and research studies carried out in Italy between 1994 and 2007. Overall, six H10NX strains from wild mallards (n. 1 H10N2, n. 5 H10N7), one H10N7 strain from domestic mallards, and two H10N8 strains from Eurasian coots were sequenced by next-generation sequencing (NGS). HA phylogenetic analysis indicated a marked divergence between viruses from these two sympatric waterbird species and showed a close relationship between three H10N7 strains from wild mallard and one H10N7 isolate of domestic origin. Sequence analysis revealed the presence of several molecular markers, associated with increased zoonotic potential, including the PB2-A588V mutation found in the Eurasian coot H10N8 viruses and previously linked to mammalian adaptation in H10 strains. Molecular analysis also showed that all H10 viruses were susceptible to the major approved classes of influenza antivirals (inhibitors of neuraminidase, matrix-2, and polymerase acid protein). Moreover, phenotypic assay confirmed their susceptibility to oseltamivir and zanamivir drugs. From an ecological perspective, we found that different H10 gene pools seem to be harboured in different waterbird species sharing the same environment; additionally, a bidirectional transmission of H10 mallard isolates occurred between natural and anthropic ecosystems. Overall, our findings account for the need of continuous monitoring of AIVs belonging to the H10 subtype.

Introduction: A COVID-19 outbreak occurred at the end of October 2021 among pilgrims returning from Medjugorje (Bosnia and Herzegovina). Methodology: Whole genome sequencing (WGS) of SARS-CoV-2, epidemiological data, and phylogenetic analysis were used to reconstruct outbreak dynamics. Results: The results suggest that only in one case, associated with the SARS-CoV-2 sub-lineage AY.9.2, it is possible to trace back the place of contagion to Medjugorje, while the other cases were likely to be acquired in the country of origin. Conclusions: The combined use of phylogenetic data derived from WGS, and epidemiological data allowed us to study epidemic dynamics and to formulate a possible hypothesis on the place of exposure to SARS-CoV-2. The identification of different sub-lineages of the SARS-CoV-2 Delta variant also suggested that different chains of transmission contributed to the outbreak.

Background Since 1985, two antigenically distinct lineages of influenza B viruses (Victoria-like and Yamagata-like) have circulated globally. Trivalent seasonal influenza vaccines contain two circulating influenza A strains but a single B strain and thus provide limited immunity against circulating B strains of the lineage not included in the vaccine. In this study, we describe the characteristics of influenza B viruses that caused respiratory illness in the population in Italy over 13 consecutive seasons of virological surveillance, and the match between the predominant influenza B lineage and the vaccine B lineage, in each season. Methods From 2004 to 2017, 26,886 laboratory-confirmed influenza cases were registered in Italy, of which 18.7% were type B. Among them, the lineage of 2465 strains (49%) was retrieved or characterized in this study by a real-time RT-PCR assay and/or sequencing of the hemagglutinin (HA) gene. Results Co-circulation of both B lineages was observed each season, although in different proportions every year. Overall, viruses of B/Victoria and B/Yamagata lineages caused 53.3 and 46.7% of influenza B infections, respectively. A higher proportion of infections with both lineages was detected in children, and there was a declining frequency of B/Victoria detections with age. A mismatch between the vaccine and the predominant influenza B lineage occurred in eight out of thirteen influenza seasons under study. Considering the seasons when B accounted for > 20% of all laboratory-confirmed influenza cases, a mismatch was observed in four out of six seasons. Phylogenetic analysis of the HA1 domain confirmed the co-circulation of both lineages and revealed a mixed circulation of distinct evolutionary viral variants, with different levels of match to the vaccine strains. Conclusions This study contributes to the understanding of the circulation of influenza B viruses in Italy. We found a continuous co-circulation of both B lineages in the period 2004–2017, and determined that children were particularly vulnerable to Victoria-lineage influenza B virus infections. An influenza B lineage mismatch with the trivalent vaccine occurred in about two-thirds of cases.

Polyphenols have been widely studied for their antiviral effect against respiratory virus infections. Among these, resveratrol (RV) has been demonstrated to inhibit influenza virus replication and more recently, it has been tested together with pterostilbene against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. In the present work, we evaluated the antiviral activity of polydatin, an RV precursor, and a mixture of polyphenols and other micronutrients, named A5+, against influenza virus and SARS-CoV-2 infections. To this end, we infected Vero E6 cells and analyzed the replication of both respiratory viruses in terms of viral proteins synthesis and viral titration. We demonstrated that A5+ showed a higher efficacy in inhibiting both influenza virus and SARS-CoV-2 infections compared to polydatin treatment alone. Indeed, post infection treatment significantly decreased viral proteins expression and viral release, probably by interfering with any step of virus replicative cycle. Intriguingly, A5+ treatment strongly reduced IL-6 cytokine production in influenza virus-infected cells, suggesting its potential anti-inflammatory properties during the infection. Overall, these results demonstrate the synergic and innovative antiviral efficacy of A5+ mixture, although further studies are needed to clarify the mechanisms underlying its inhibitory effect.

The “Investigating and translating genomic evidence for public health response to SARSCoV- 2 (INSIDE SARS-CoV-2)” project is part of the initiative “Joint science and technology cooperation call for joint project proposals for the years 2021-2023” promoted by the Italian Ministry of Foreign Affairs and International Cooperation (MAECI) and the Republic of India. To start the project activities, the pandemic response and the epidemiological situation in Italy and in India, together with the genomic surveillance strategies for SARS-CoV-2 virus in the two countries, are here described.

Introduction. Multiple variants of SARS-CoV-2, since the end of 2020 have emerged in many geographical areas and are currently under surveillance worldwide highlighting the continuing need for genomic monitoring to detect variants previously not yet identified.Methods. In this study, we used whole-genome sequencing (WGS) and phylogenetic analysis to investigate A.27 lineage SARS-CoV-2 from Sardinia, Italy.Results. The Italian A.27 lineage genomes from Sardinia appeared related in a clade with genomes from France. Among the key mutations identified in the spike protein, the N501Y and the L452R deserve attention as considered likely vaccine escape mutations. Additional mutations were also here reported.Conclusion. A combination of features could explain our data such as SARS-CoV-2 genetic variability, viral dynamics, the human genetic diversity of Sardinian populations, the island context probably subjected to different selective pressures. Molecular and genomic investigation is essential to promptly identify variants with specific mutations with potential impact on public health and vaccine formulation.

In this work, we studied the selective pressure and evolutionary analysis on the SARS-CoV-2 BF.7 and BQ.1.1 lineages circulating in Italy from July to December 2022. Two different datasets were constructed: the first comprised 694 SARS-CoV-2 BF.7 lineage sequences and the second comprised 734 BQ.1.1 sequences, available in the Italian COVID-19 Genomic (I-Co-Gen) platform and GISAID (last access date 15 December 2022). Alignments were performed with MAFFT v.7 under the Galaxy platform. The HYPHY software was used to study the selective pressure. Four positively selected sites (two in nsp3 and two in the spike) were identified in the BF.7 dataset, and two (one in ORF8 and one in the spike gene) were identified in the BQ.1.1 dataset. Mutation analysis revealed that R408S and N440K are very common in the spike of the BF.7 genomes, as well as L452R among BQ.1.1. N1329D and Q180H in nsp3 were found, respectively, at low and rare frequencies in BF.7, while I121L and I121T were found to be rare in ORF8 for BQ.1.1. The positively selected sites may have been driven by the selection for increased viral fitness, under circumstances of defined selective pressure, as well by host genetic factors.

We performed next-generation sequencing (NGS), phylogenetic analysis, gene flows, and N- and O-glycosylation prediction on SARS-CoV-2 genomes collected from lab-confirmed cases from different Italian regions. To this end, a total of 111 SARS-CoV-2 genomes collected in Italy between 29 January and 27 March 2020 were investigated. The majority of the genomes belonged to lineage B.1, with some descendant lineages. The gene flow analysis showed that the spread occurred mainly from the north to the center and to the south of Italy, as confirmed by epidemiological data. The mean evolutionary rate estimated here was 8.731 × 10−4 (95% highest posterior density, HPD intervals 5.809 × 10−4 to 1.19 × 10−3), in line with values reported by other authors. The dated phylogeny suggested that SARS-CoV-2 lineage B.1 probably entered Italy between the end of January and early February 2020. Continuous molecular surveillance is needed to trace virus circulation and evolution.

The SARS-CoV-2 Delta variant of concern (VOC) was often associated with serious clinical course of the COVID-19 disease. Herein, we investigated the selective pressure, gene flow and evaluation on the frequencies of mutations causing amino acid substitutions in the Delta variant in three Italian regions. A total of 1500 SARS-CoV-2 Delta genomes, collected in Italy from April to October 2021 were investigated, including a subset of 596 from three Italian regions. The selective pressure and the frequency of amino acid substitutions and the prediction of their possible impact on the stability of the proteins were investigated. Delta variant dataset, in this study, identified 68 sites under positive selection: 16 in the spike (23.5%), 11 in nsp2 (16.2%) and 10 in nsp12 (14.7%) genes. Three of the positive sites in the spike were located in the receptor-binding domain (RBD). In Delta genomes from the three regions, 6 changes were identified as very common (>83.7%), 4 as common (>64.0%), 21 at low frequency (2.1%–25.0%) and 29 rare (≤2.0%). The detection of positive selection on key mutations may represent a model to identify recurrent signature mutations of the virus.

Healthcare workers (HCW) are at increased risk for SARS-CoV-2 exposure and infection and have been preferentially prioritised in vaccination campaigns. The present study aims to monitor vaccine-induced humoral immune response over a 6-month period in a cohort of 494 HCW who received a booster immunization with bivalent mRNA SARS-CoV-2 vaccines. Overall, the study sample displayed high anti-trimeric Spike IgG levels at baseline (prior vaccine administration), which increased one month after the bivalent booster but declined over the subsequent six months. Sex, type of vaccine, concomitant seasonal flu vaccination, and anti-N IgG seropositivity had no significant impact on antibody levels one-month post-vaccination, while higher antibody increase was seen in individuals with lower baseline immunity and older age groups. Sera from 45 HCWs were tested in neutralization assays against the BA.5 and XBB.1.5 subvariants. Almost all sera neutralized BA.5 before vaccination; 23 (51.1 %) neutralized XBB.1.5 before vaccination, rising to 35 (77.8 %) after six months. MNT against BA.5 was higher than against XBB.1.5 at both time points, and anti-trimeric S IgG levels correlated with MNT for both strains. In conclusion, the present study suggests significant pre-existing immunity, possibly from prior infections, asymptomatic exposure to SARS-CoV-2, and multiple vaccine doses. We found that individuals with lower baseline immunity exhibited a stronger and faster antibody response to vaccination, which was also beneficial in providing a broader antibody repertoire against newly circulating variants. Overall, these findings offer crucial insights for shaping future immunization policies in a population that remains at elevated risk.