Simultaneous monitoring of SARS-CoV-2 and bacterial profiles from the air of hospital environments with COVID-19-affected patients.

The SARS-CoV-2 presence and the bacterial community profile in air samples collected at the Intensive Care Unit (ICU) of the Operational Unit of Infectious Diseases of Santa Caterina Novella Hospital in Galatina (Lecce, Italy) have been evaluated in this study. Air samplings were performed in different rooms of the ICU ward with and without COVID-19 patients. No sample was found positive to SARS-CoV-2, according to Allplex 2019-nCoV Assay. The airborne bacterial community profiles determined by the 16S rRNA gene metabarcoding approach up to the species level were characterized by richness and biodiversity indices, Spearman correlation coefficients, and Principal Coordinate Analysis. Pathogenic and non-pathogenic bacterial species, also detected in outdoor air samples, were found in all collected indoor samples. Staphylococcus pettenkoferi, Corynebacterium tuberculostearicum, and others coagulase-negative staphylococci, detected at high relative abundances in all the patients' rooms, were the most abundant pathogenic species. The highest mean relative abundance of S. pettenkoferi and C. tuberculostearicum suggested that they were likely the main pathogens of COVID-19 patients at the ICU ward of this study. The identification of nosocomial pathogens representing potential patients' risks in ICU COVID-19 rooms and the still controversial airborne transmission of the SARS-CoV-2 are the main contributions of this study. Supplementary Information: The online version contains supplementary material available at 10.1007/s10453-022-09754-7.

Compositional Data Analysis of 16S rRNA Gene Sequencing Results from Hospital Airborne Microbiome Samples.

The compositional analysis of 16S rRNA gene sequencing datasets is applied to characterize the bacterial structure of airborne samples collected in different locations of a hospital infection disease department hosting COVID-19 patients, as well as to investigate the relationships among bacterial taxa at the genus and species level. The exploration of the centered log-ratio transformed data by the principal component analysis via the singular value decomposition has shown that the collected samples segregated with an observable separation depending on the monitoring location. More specifically, two main sample clusters were identified with regards to bacterial genera (species), consisting of samples mostly collected in rooms with and without COVID-19 patients, respectively. Human pathogenic genera (species) associated with nosocomial infections were mostly found in samples from areas hosting patients, while non-pathogenic genera (species) mainly isolated from soil were detected in the other samples. Propionibacterium acnes, Staphylococcus pettenkoferi, Corynebacterium tuberculostearicum, and jeikeium were the main pathogenic species detected in COVID-19 patients' rooms. Samples from these locations were on average characterized by smaller richness/evenness and diversity than the other ones, both at the genus and species level. Finally, the ρ metrics revealed that pairwise positive associations occurred either between pathogenic or non-pathogenic taxa.

Universal Human Papillomavirus Vaccination and its Impact on the Southern Italian Region.

HPV is still the most common sexually transmitted infection, leading to the onset of many disorders while causing an increase in direct and indirect health costs. High Risk (HR) HPV is the primary cause of invasive cervical cancer and contributes significantly to the development of anogenital and oropharyngeal cancers. The introduction of universal HPV vaccination has led to a significant reduction in vaccine-targeted HPV infections, cross-protective genotypes, precancerous lesions and anogenital warts. Despite the several limitations of HPV vaccination programs, including vaccine type specificity, different schedules, target age-groups and poor communication, the impact has become increasingly evident, especially in countries with high vaccine uptake. We carried out a review of the most recent literature to evaluate the effects of HPV vaccination on vaccinetargeted HPV genotypes and to assess the level of cross-protection provided against non-vaccine HPV types. Subsequently, to assess the rates of HPV infection in a southeast Italian region, we performed an epidemiological investigation on the impact of vaccination on genotypes and on the prevalence and distribution of HPV infection during the twelve-year period 2006-2017 in the Local Health Unit (LHU) of Lecce. The vaccination coverage of about 70% among girls in the LHU led to an initial reduction in vaccine-targeted HPV types and cross-protective genotypes. However, the results on this population should be interpreted cautiously because the period since the start of vaccination is too short and the coverage rate is not yet optimal to evaluate the efficacy of vaccination in lowering the prevalence of non-vaccine HR HPV types in the vaccinated cohort and in older subjects. Nevertheless, it is expected that direct effects will increase further and that herd immunity will begin to emerge as vaccination coverage increases.

Prevalence and distribution of human papillomavirus genotype in south eastern Italy, in the period 2006-2011: implications for intervention.

Persistent infection of High Risk (HR) Human papillomavirus (HPV) infection can lead to cervical cancer. The HPV genotypes are found worldwide, but important regional variations have been found. For a population-based HPV type prevalence study to assess the effect of existing and new prevention methods, frequently updated information on the burden of cervical cancer is essential. We evaluated the prevalence of HPV genotypes in a volunteer population screened for cervical cancer at the Local Health Unit (LHU) of Lecce. A total of 9,720 women were studied. The tests were performed by INNO-Lipa HPV Genotyping and LINEAR ARRAY HPV Genotyping Test. The overall HPV prevalence was 29.7% (95% CI, 28.8-30.6) for any HPV DNA. The prevalent type for all age groups was HPV 16 (7.4%; CI, 6.9-7.9) followed by HPV 31 (3.4%; CI, 3.0-3.7), 51 (3.0%; CI, 2.6-3.3), 52 (2.7%; CI, 2.3-3.0) and 58 (2.4%; CI, 2.1-2.7). HPV 53 was the most common low-risk HPV type with prevalence rate of 3.5 (CI, 3.1-3.8), followed by HPV 66 (3.0; CI, 2.6-3.3), 6 (2.9; CI, 2.6-3.2) and 42 (2.5; CI, 2.2-2.8). Multiple infections were present in 13.6% of HPV-tested women (CI, 12.9-14.3). Among these, the most common combination was of HPV 16 and HPV 52 genotypes. This study reports high prevalence of HPV infection and may serve as a valuable reference for assessing the impact of HPV vaccination programs. Furthermore, it supports the need for new vaccines that contain the most common HPV genotypes present in the population.

Human papillomavirus type distribution and correlation with cyto-histological patterns in women from the South of Italy.

Human papillomavirus (HPV) type-specific distribution was evaluated in genital samples collected from 654 women from the South of Italy undergoing voluntary screening and correlated with cyto-histological abnormalities. HPV DNA was detected in 45.9% of the samples, 41.7% of which had multiple infection and 89.0% had high-risk HPV infection. The prevalence of HPV infection and the rate of multiple infections decreased with age, suggesting natural selection of HPV types with better fitness. In line with other Italian studies, the most common HPV types were HPV-6 and HPV-16, followed by HPV-51, HPV-31, HPV-53, and HPV-66, in women with both normal and abnormal cytology. Cervical intraepithelial lesions grade 2 or 3 were associated with high-risk HPV-16, HPV-18, HPV-31, and HPV-51 infection. These data indicate that prophylactic HPV vaccination is expected to reduce the burden of HPV-related cervical lesions in this population, but also suggest the potential utility of new vaccines with larger type coverage.

Rapid and accurate quantification of different HCV genotypes by LightCycler Real Time PCR and direct sequencing of HCV amplicons.

Follow-up of chronically infected HCV patients is the primary clinical goal in therapy administration. In the absence of an HCV vaccine, the timely monitoring of HCV viral load combined with the information of the viral genotype could contribute to patient disease management. A LightCycler Real Time RT-PCR assay was developed and optimized allowing rapid and accurate quantification of HCV RNA over an extended dynamic range using a single human reference standard. A total of 5,096 plasma samples, collected over almost 5 years, were tested and HCV RNA was quantified in 2,435 samples with levels ranging from 5.7x10(1) to 2.52x10(9) IU/ml. The precision and reproducibility of the test are documented by various inter-assay parameters of the reference standard obtained in 409 RT-PCR runs. This Real Time RT-PCR protocol uses the LightCycler cDNA amplicons for direct sequence analysis and reduces the sequencing time to approximately 3 hours. Nearly all HCV genotypes were identified. Viral sequences showed a similarity level close to 100%, independently from the viral load, while the LightCycler melting temperature analysis did not correlate with HCV genotypes. All this makes the LightCycler Real Time RT-PCR protocol a suitable tool for the diagnosis and monitoring of HCV infections.

A proteomic approach for the characterization of C677T mutation of the human gene methylenetetrahydrofolate reductase.

Methylenetetrahydrofolate reductase (MTHFR) catalyzes the conversion of methylenetetrahydrofolate (CH2H4folate) to methyltetrahydrofolate (CH3H4folate). The C677T mutation is a common polymorphism of the human enzyme that leads to the replacement of Ala222Val, thermolability of MTHFR, and mild elevation of plasma homocysteine levels. A mild hyperhomocysteinemia is known to be risk factor for cardiovascular and thrombotic diseases, ischemic stroke, neural tube defects, late on-set dementia, and pregnancy complications. Human plasma of subjects carrying the C677T mutation in the MTHFR gene has been investigated for their protein pattern in order to identify novel molecular hallmarks. 2-D analysis of the plasma protein allowed the identification of a specific pattern associated with the TT mutant genotype. Noteworthy, we found one spot shifted to a more basic pI in mutant individuals, and MS identification corresponded to vitamin D-binding protein (DBP or group component (Gc) globulin). MS/MS peptide sequencing allowed to discriminate different allelic variants in the investigated clinical groups. These data confirmed by molecular genetic analysis highlight the novel association between the C677T MTHFR genotype with the Gc2 polymorphism of the DBP. Moreover, we found a quantitative reduction of Apolipoprotein A-I in mutant individuals, which was associated, in previous studies by others to an increased cardiovascular risk.