High rates of anal Merkel Cell Polyomavirus and HPV co-infection among people living with HIV.

Knowledge of Human Polyomavirus (HPyV) infection in the anal area and its association with sexually transmitted infections such as Human Papillomavirus (HPV) and Human Immunodeficiency Virus (HIV) remains limited. Therefore, anal specimens from 150 individuals of both sexes were analyzed for screening purposes. HPV DNA was found in 50.7% of cases, with a predominance of high-risk (HR) genotypes. HPyV DNA was found in 39.3% of samples, with Merkel Cell Polyomavirus (MCPyV) being the most common, with a higher viral load than JCPyV and BKPyV. In addition, MCPyV viral load increased in people living with HIV (PLWH) with HPV infection (p < 0.0001).

Rate of Vaginal Cuff Dehiscence When Using Vicryl (Poliglactyn 910) Compared to PDS (Polydioxanone) for Vaginal Cuff Closure in Laparoscopic Hysterectomy.

Objective: To compare the vaginal cuff dehiscence (VCD) rates using Vicryl (Poliglactyn 910) and Polydioxanone (PDS) in patients who underwent laparoscopic hysterectomy. Materials and methods: A retrospective, monocentric study was conducted, including all patients undergoing laparoscopic hysterectomy at the Department of Obstetrics and Gynaecology, Azienda di Rilievo Nazionale e di Alta Specializzazione (ARNAS) Garibaldi Nesima, Catania, between January 2014 and December 2021. Patients underwent hysterectomy for benign gynecologic pathologies (endometriosis, leiomyomas, or benign pelvic pathologies) or malignant gynecologic pathologies (endometrium cancer, complex endometrial hyperplasia, ovarian cancer, cervix cancer, or uterine carcinosarcoma). The Z-score calculation was performed to find eventual statistically significant differences between the two populations regarding VCD rates. Results: Laparoscopic vaginal cuff closure was performed, with Vicryl sutures in 202 patients and PDS sutures in 184 women. Demographic and baseline characteristics were not significantly different in the two groups. VCD occurred in three patients in the Vicryl group and did not occur in the PDS group. The three cases of VCD were precipitated by intercourses that occurred within 90 days of surgery. However, there was not a significant statistical difference between the two groups regarding VCD (p = 0.09). Conclusions: Vicryl and PDS sutures seem to be similar for vaginal cuff closure in laparoscopic hysterectomy. The VCD rate was low, and the observed differences between the Vicryl and PDS groups did not reach statistical significance. Further research through prospective studies is essential.

Genome-based comparison between the recombinant SARS-CoV-2 XBB and its parental lineages.

Recombination is the main contributor to RNA virus evolution, and SARS-CoV-2 during the pandemic produced several recombinants. The most recent SARS-CoV-2 recombinant is the lineage labeled XBB, also known as Gryphon, which arose from BJ.1 and BM.1.1.1. Here we performed a genome-based survey aimed to compare the new recombinant with its parental lineages that never became dominant. Genetic analyses indicated that the recombinant XBB and its first descendant XBB.1 show an evolutionary condition typical of an evolutionary blind background with no further epidemiologically relevant descendant. Genetic variability and expansion capabilities are slightly higher than parental lineages. Bayesian Skyline Plot indicates that XBB reached its plateau around October 6, 2022 and after an initial rapid growth the viral population size did not further expand, and around November 10, 2022 its levels of genetic variability decreased. Simultaneously with the reduction of the XBB population size, an increase of the genetic variability of its first sub-lineage XBB.1 occurred, that in turn reached the plateau around November 9, 2022 showing a kind of vicariance with its direct progenitors. Structure analysis indicates that the affinity for ACE2 surface in XBB/XBB.1 RBDs is weaker than for BA.2 RBD. In conclusion, at present XBB and XBB.1 do not show evidence about a particular danger or high expansion capability. Genome-based monitoring must continue uninterrupted to individuate if further mutations can make XBB more dangerous or generate new subvariants with different expansion capability.

Epidemic history and evolution of an emerging threat of international concern, the severe acute respiratory syndrome coronavirus 2.

This comprehensive review focuses on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its impact as the cause of the COVID-19 pandemic. Its objective is to provide a cohesive overview of the epidemic history and evolutionary aspects of the virus, with a particular emphasis on its emergence, global spread, and implications for public health. The review delves into the timelines and key milestones of SARS-CoV-2's epidemiological progression, shedding light on the challenges encountered during early containment efforts and subsequent waves of transmission. Understanding the evolutionary dynamics of the virus is crucial in monitoring its potential for adaptation and future outbreaks. Genetic characterization of SARS-CoV-2 is discussed, with a focus on the emergence of new variants and their implications for transmissibility, severity, and immune evasion. The review highlights the important role of genomic surveillance in tracking viral mutations linked to establishing public health interventions. By analyzing the origins, global spread, and genetic evolution of SARS-CoV-2, valuable insights can be gained for the development of effective control measures, improvement of pandemic preparedness, and addressing future emerging infectious diseases of international concern.

Interpatient variability in the pharmacokinetics of remdesivir and its main metabolite GS-441524 in treated COVID-19 subjects.

BACKGROUND: Remdesivir is the first antiviral drug against SARS-CoV-2 approved for use in COVID-19 patients. OBJECTIVES: To study the pharmacokinetic inter-individual variability of remdesivir and its main metabolite GS-441524 in a real-world setting of COVID-19 inpatients and to identify possible associations with different demographic/biochemical variables. METHODS: Inpatients affected by SARS-CoV-2 infections, undergoing standard-dose remdesivir treatment, were prospectively enrolled. Blood samples were collected on day 4, immediately after (C0) and at 1 h (C1) and 24 h (C24) after infusion. Remdesivir and GS-441524 concentrations were measured using a validated UHPLC-MS/MS method and the AUC0-24 was calculated. At baseline, COVID-19 severity (ICU or no ICU), sex, age, BMI and renal and liver functions were assessed. Transaminases and estimated glomerular filtration rate (e-GFR) were also evaluated during treatment. Linear regression, logistic regression and multiple linear regression tests were used for statistical comparisons of pharmacokinetic parameters and variables. RESULTS: Eighty-five patients were included. The mean (CV%) values of remdesivir were: C0 2091 (99.1%) ng/mL, C1 139.7 (272.4%) ng/mL and AUC0-24 2791 (175.7%) ng·h/mL. The mean (CV%) values of GS-441524 were: C0 90.2 (49.5%) ng/mL, C1 104.9 (46.6%) ng/mL, C24 58.4 (66.9) ng/mL and AUC0-24 1976 (52.6%) ng·h/mL. The multiple regression analysis showed that age (P < 0.05) and e-GFR (P < 0.01) were independent predictors of GS-441524 plasma exposure. CONCLUSIONS: Our results showed a high interpatient variability of remdesivir and GS-441524 likely due to both age and renal function in COVID-19 inpatients. Further research is required to understand whether the pharmacokinetics of remdesivir and its metabolites may influence drug-related efficacy or toxic effect.

Assessment of core and support functions of the communicable disease surveillance system in the Kurdistan Region of Iraq.

Early detection and prompt response are crucial measures to prevent and control outbreaks. Public health agencies, therefore, designed the Communicable Disease Surveillance System (CDSS) to obtain essential data instantaneously to be used for appropriate action. However, a periodic evaluation of CDSS is indispensable to ensure the functionality of the system. For this reason, this study aims to assess the performance of the core and support functions of the CDSS in the Kurdistan Region of Iraq. A descriptive cross-sectional study was used. From a total of 291 health facilities HFs (Primary health care centers and Hospitals) in the Kurdistan region of Iraq that have surveillance activities, 74 HFs were selected using a random stratified sampling approach. The World Health Organization (WHO) generic questionnaire has been used to interview the surveillance staff, together with direct collection of the data. Our analysis shows a lack of surveillance guiding manual in the HFs. Even at the district level, where a surveillance manual existed, case definitions, thresholds, and control measures were still missing. To note, more than 93% of HFs had organized and comprehensive patients registers for the collection of their clinical and secondary data. Also, all HFs had functioning laboratories. The majority of them (almost 93%) were equipped to collect, process, and store blood, stool, and urine specimens. About 72% of these laboratories were also able to transport timely the specimens to more specialized laboratories. At all levels, data reporting to the higher level exceeded the recommended minimum rate of 80%. The reporting system at the district level was based on emails, while in the periphery on hand-delivered in paper-based formats (50%), telephone (22%), and social media (22%). Furthermore, our analysis highlights the lack of data analysis: only 3.8% of Primary Health Care Centers conduct simple data analysis regularly, while hospitals do not do any sort of analysis. Also, only a few HFs investigated an outbreak, though using system routine sources to capture these public health events. Our findings show a lack in epidemic preparedness (3%), in feedback (53%), in standard guidelines, training, supervision, and resource allocations in HFs (0%). Taken together, our data show the importance of strengthening the CDSS in the Kurdistan region of Iraq, by reinforcing the surveillance system with continuous feedback, supervision, well-trained and motivated staff, technical support, and coordination between researchers and physicians.

Genetic and Structural Data on the SARS-CoV-2 Omicron BQ.1 Variant Reveal Its Low Potential for Epidemiological Expansion.

The BQ.1 SARS-CoV-2 variant, also known as Cerberus, is one of the most recent Omicron descendant lineages. Compared to its direct progenitor BA.5, BQ.1 has some additional spike mutations in some key antigenic sites, which confer further immune escape ability over other circulating lineages. In such a context, here, we perform a genome-based survey aimed at obtaining a complete-as-possible nuance of this rapidly evolving Omicron subvariant. Genetic data suggest that BQ.1 represents an evolutionary blind background, lacking the rapid diversification that is typical of a dangerous lineage. Indeed, the evolutionary rate of BQ.1 is very similar to that of BA.5 (7.6 × 10-4 and 7 × 10-4 subs/site/year, respectively), which has been circulating for several months. The Bayesian Skyline Plot reconstruction indicates a low level of genetic variability, suggesting that the peak was reached around 3 September 2022. Concerning the affinity for ACE2, structure analyses (also performed by comparing the properties of BQ.1 and BA.5 RBD) indicate that the impact of the BQ.1 mutations may be modest. Likewise, immunoinformatic analyses showed moderate differences between the BQ.1 and BA5 potential B-cell epitopes. In conclusion, genetic and structural analyses on SARS-CoV-2 BQ.1 suggest no evidence of a particularly dangerous or high expansion capability. Genome-based monitoring must continue uninterrupted for a better understanding of its descendants and all other lineages.

Telemedicine During COVID-19 Pandemic: Lesson Learned from the Lazio Region Infectious Diseases and Emergency Department Network.

Telemedicine and teleconsultation can be powerful and useful tools for patients to hamper the physical barriers to access to health care services during COVID-19 pandemic. We describe the teleconsultation (TC) model in the Lazio Region. It uses a hub-and-spoke network system on geographic regional basis using a web based digital platform, termed ADVICE with the aim to connect regional Emergency Departments (EDs) and Infectious Diseases (ID) acute and critical care settings for patients with acute ID syndrome. Between January 2020 and June 2021, the ADVICE platform received 18.686 TCs: of them, 10838 requests (58%) were for ID TCs in 7996 patients, followed by 2555(13%) requests for trauma, 2286(12%) for acute complex syndrome and 1681 (8%) for Stroke TCs. Three quarter of ID TCs were requested for SARS-COV-2 infection, followed by sepsis management in 7% and tuberculosis in 6%. In 5416 TCs, 68%, diagnostic investigations and therapeutic prescriptions were recommended before admission, in 1941 TCs, 24%, the recommendation was patient admission and in 608 TCs, 7%, was to discharge patient at home. Telemedicine have ensured high-profile consultations for ID patients and during COVID-19 the use of this resource optimized clinical patient management.

SARS-CoV-2 B.1.617 Indian variants: Are electrostatic potential changes responsible for a higher transmission rate?

Lineage B.1.617+, also known as G/452R.V3 and now denoted by WHO with the Greek letters δ and κ, is a recently described SARS-CoV-2 variant under investigation first identified in October 2020 in India. As of May 2021, three sublineages labeled as B.1.617.1 (κ), B.1.617.2 (δ), and B.1.617.3 have been already identified, and their potential impact on the current pandemic is being studied. This variant has 13 amino acid changes, three in its spike protein, which are currently of particular concern: E484Q, L452R, and P681R. Here, we report a major effect of the mutations characterizing this lineage, represented by a marked alteration of the surface electrostatic potential (EP) of the receptor-binding domain (RBD) of the spike protein. Enhanced RBD-EP is particularly noticeable in the B.1.617.2 (δ) sublineage, which shows multiple replacements of neutral or negatively charged amino acids with positively charged amino acids. We here hypothesize that this EP change can favor the interaction between the B.1.617+ RBD and the negatively charged ACE2, thus conferring a potential increase in the virus transmission.

Analysis of Three Mutations in Italian Strains of SARS-CoV-2: Implications for Pathogenesis.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an enveloped virus initially detected in Wuhan in December 2019, responsible for coronavirus disease 2019 (COVID-19), a respiratory syndrome currently affecting >220 countries around the world, with >80 million cases registered and >1.8 million deaths. OBJECTIVE: As several vaccines are still being developed and 2 have been approved, it is particularly important to perform evolutionary surveillance to identify mutations potentially affecting vaccine efficacy. METHODS: DynaMut server has been used to evaluate the impact of the mutation found on SARS-CoV-2 isolates available on GISAID. RESULTS: In this article, we analyze whole genomes sequenced from Italian patients, and we report the characterization of 3 mutations, one of which presents in the spike protein. CONCLUSION: The mutations analyzed in this article can be useful to evaluate the evolution of SARS-CoV-2.

The first two cases of 2019-nCoV in Italy: Where they come from?

A novel Coronavirus, 2019-nCoV, has been identified as the causal pathogen of an ongoing epidemic, with the first cases reported in Wuhan, China, last December 2019, and has since spread to other countries worldwide, included Europe and very recently Italy. In this short report, phylogenetic reconstruction was used to better understand the transmission dynamics of the virus from its first introduction in China focusing on the more recent evidence of infection in a couple of Chinese tourists arrived in Italy on 23rd January 2020 and labeled as Coronavirus Italian cases. A maximum clade credibility tree has been built using a dataset of 54 genome sequences of 2019-nCoV plus two closely related bat strains (SARS-like CoV) available in GenBank. Bayesian time-scaled phylogenetic analysis was implemented in BEAST 1.10.4. The Bayesian phylogenetic reconstruction showed that 2019-2020 nCoV firstly introduced in Wuhan on 25 November 2019, started epidemic transmission reaching many countries worldwide, including Europe and Italy where the two strains isolated dated back 19 January 2020, the same that the Chinese tourists arrived in Italy. Strains isolated outside China were intermixed with strains isolated in China as evidence of likely imported cases in Rome, Italy, and Europe, as well. In conclusion, this report suggests that further spread of 2019-nCoV epidemic was supported by human mobility and that quarantine of suspected or diagnosed cases is useful to prevent further transmission. Viral genome phylogenetic analysis represents a useful tool for the evaluation of transmission dynamics and preventive action.

A doubt of multiple introduction of SARS-CoV-2 in Italy: A preliminary overview.

The emergence of the novel betacoronavirus, recently renamed as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has raised serious concerns due to the virus's rapid dissemination worldwide. Nevertheless, there is limited information about the genomic epidemiology of SARS-CoV-2 circulating in Italy from surveillance studies. The shortage of complete genomic sequences available impairs our understanding of the SARS-CoV-2 introduction and establishment in the country. To better understand its dynamics in Italy, we analyzed complete genomes of SARS-CoV-2 isolates, obtained directly from clinical samples. Our phylogenetic reconstructions suggest possible multiple introduction of SARS-CoV-2. Continued genomic surveillance strategies are needed to improve monitoring and understanding of the current SARS-CoV-2 epidemics, which might help to attenuate public health impact of infectious diseases.

COVID-2019: The role of the nsp2 and nsp3 in its pathogenesis.

Last December 2019, a new virus, named novel Coronavirus (COVID-2019) causing many cases of severe pneumonia was reported in Wuhan, China. The virus knowledge is limited and especially about COVID-2019 pathogenesis. The Open Reading Frame 1ab (ORF1ab) of COVID-2019 has been analyzed to evidence the presence of mutation caused by selective pressure on the virus. For selective pressure analysis fast-unconstrained Bayesian approximation (FUBAR) was used. Homology modelling has been performed by SwissModel and HHPred servers. The presence of transmembrane helical segments in Coronavirus ORF1ab non structural protein 2 (nsp2) and nsp3 was tested by TMHMM, MEMSAT, and MEMPACK tools. Three-dimensional structures have been analyzed and displayed using PyMOL. FUBAR analysis revealed the presence of potential sites under positive selective pressure (P < .05). Position 723 in the COVID-2019 has a serine instead a glycine residue, while at aminoacidic position 1010 a proline instead an isoleucine. Significant (P < .05) pervasive negative selection in 2416 sites (55%) was found. The positive selective pressure could account for some clinical features of this virus compared with severe acute respiratory syndrome (SARS) and Bat SARS-like CoV. The stabilizing mutation falling in the endosome-associated-protein-like domain of the nsp2 protein could account for COVID-2019 high ability of contagious, while the destabilizing mutation in nsp3 proteins could suggest a potential mechanism differentiating COVID-2019 from SARS. These data could be helpful for further investigation aimed to identify potential therapeutic targets or vaccine strategy, especially in the actual moment when the epidemic is ongoing and the scientific community is trying to enrich knowledge about this new viral pathogen.

The 2019-new coronavirus epidemic: Evidence for virus evolution.

There is a worldwide concern about the new coronavirus 2019-nCoV as a global public health threat. In this article, we provide a preliminary evolutionary and molecular epidemiological analysis of this new virus. A phylogenetic tree has been built using the 15 available whole genome sequences of 2019-nCoV, 12 whole genome sequences of 2019-nCoV, and 12 highly similar whole genome sequences available in gene bank (five from the severe acute respiratory syndrome, two from Middle East respiratory syndrome, and five from bat SARS-like coronavirus). Fast unconstrained Bayesian approximation analysis shows that the nucleocapsid and the spike glycoprotein have some sites under positive pressure, whereas homology modeling revealed some molecular and structural differences between the viruses. The phylogenetic tree showed that 2019-nCoV significantly clustered with bat SARS-like coronavirus sequence isolated in 2015, whereas structural analysis revealed mutation in Spike Glycoprotein and nucleocapsid protein. From these results, the new 2019-nCoV is distinct from SARS virus, probably trasmitted from bats after mutation conferring ability to infect humans.

Evidence for mutations in SARS-CoV-2 Italian isolates potentially affecting virus transmission.

Italy is the first western country suffering heavy severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and disease impact after coronavirus disease-2019 pandemia started in China. Even though the presence of mutations on spike glycoprotein and nucleocapsid in Italian isolates has been reported, the potential impact of these mutations on viral transmission has not been evaluated. We have compared SARS-CoV-2 genome sequences from Italian patients with virus sequences from Chinese patients. We focussed upon three nonsynonymous mutations of genes coding for S(one) and N (two) viral proteins present in Italian isolates and absent in Chinese ones, using various bioinformatics tools. Amino acid analysis and changes in three-dimensional protein structure suggests the mutations reduce protein stability and, particularly for S1 mutation, the enhanced torsional ability of the molecule could favor virus binding to cell receptor(s). This theoretical interpretation awaits experimental and clinical confirmation.

The transmission dynamic of Madariaga Virus by bayesian phylogenetic analysis: Molecular surveillance of an emergent pathogen.

Madariaga Virus (MADV) is an emergent Alphavirus of the eastern equine encephalitis virus (EEEV) strain complex causing epizootic epidemics. In this study the genetic diversity and the transmission dynamics of Madariaga virus has been investigated by Bayesian phylogenetics and phylodynamic analysis. A database of 32 sequences of MADV group structural polyprotein were downloaded from GenBank, aligned manually edited by Bioedit Software. ModelTest v. 3.7 was used to select the simplest evolutionary model that adequately fitted the sequence data. Neighbor-joining tree was generated using MEGA7. The phylogenetic signal of the dataset was tested by the likelihood mapping analysis. The Bayesian phylogenetic tree was built using BEAST. Selective pressure analysis revealed one positive selection site. The phylogenetic trees showed two main clusters. In particular, Lineage II showed an epizootic infection in monkeys and Lineage III, including 2 main clusters (IIIa and IIIB), revealing an epizootic infection in humans in Haiti and an epizootic infection in humans in Venezuela during the 2016, respectively. The Bayesian maximum clade credibility tree and the time of the most common recent ancestor estimates, showed that the root of the tree dated back to the year 346 with the probable origin in Brazil. Gene flow analysis revealed viral exchanges between different neighbor countries of South America. In conclusion, Bayesian phylogenetic and phylodynamic represent useful tools to follow the transmission dynamic of emergent pathogens to prevent new epidemics spreading worldwide.

Efficacy of radiofrequency ablation in autonomous functioning thyroid nodules. A systematic review and meta-analysis.

Whether thermal ablation is effective to treat toxic thyroid nodules (TTN) is still unknown. Aim of this review was to achieve more robust evidence on the efficacy of radiofrequency ablation (RFA) in treating TTN in terms of TSH normalization, thyroid scintiscan, and volume reduction rate (VRR). A comprehensive literature search of PubMed/Medline and Scopus was performed in November 2018 to retrieve published studies. Original papers reporting TTN treated by RFA and later followed-up were eligible. Excluded were: articles not within this field, articles with unclear data, overlapping series, case/series reports. Discordances were solved in a final collegial meeting. Information was collected concerning population features, treatment procedure, follow-up, cases with TSH normalization, cases with scintiscan normalization, VRR of nodules. Pooled prevalence of patients with TSH or scintiscan normalization, and pooled VRR over time were calculated. For statistical analysis, the random-effects model was used. Eight articles published between 2008 and 2018 were included. The overall number of AFTN treated by RFA was 205. Five studies used a single session of treatment. The time of follow-up ranged from six to 24 months. The pooled rate of patients with TSH normalization was 57%. The pooled rate of patients with scintigraphically proven optimal response was 60%. The pooled VRR at 1 year was 79%. Baseline nodules volume was associated with the rate of TSH normalization. In conclusion, a moderate efficacy of RFA in treating TTN was found, and this can represent a solid starting point in this field.

Correction to: Efficacy of radiofrequency ablation in autonomous functioning thyroid nodules. A systematic review and meta-analysis.

The authors of this paper declare that their correct family and first names and their correct affiliations are shown in this correction paper.

COVID-19 Outbreak: An Overview.

BACKGROUND: In late December 2019, Chinese health authorities reported an outbreak of pneumonia of unknown origin in Wuhan, Hubei Province. SUMMARY: A few days later, the genome of a novel coronavirus was released (http://viro-logical.org/t/novel-2019-coronavirus-genome/319; Wuhan-Hu-1, GenBank accession No. MN908947) and made publicly available to the scientific community. This novel coronavirus was provisionally named 2019-nCoV, now SARS-CoV-2 according to the Coronavirus Study Group of the International Committee on Taxonomy of Viruses. SARS-CoV-2 belongs to the Coronaviridae family, Betacoronavirus genus, subgenus Sarbecovirus. Since its discovery, the virus has spread globally, causing thousands of deaths and having an enormous impact on our health systems and economies. In this review, we summarize the current knowledge about the epidemiology, phylogenesis, homology modeling, and molecular diagnostics of SARS-CoV-2. Key Messages: Phylogenetic analysis is essential to understand viral evolution, whereas homology modeling is important for vaccine strategies and therapies. Highly sensitive and specific diagnostic assays are key to case identification, contact tracing, identification of the animal source, and implementation of control measures.