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The impact of common and rare variants in COVID-19 host genetics has been widely studied. In particular, in Fallerini et al. (Human genetics, 2022, 141, 147–173), common and rare variants were used to define an interpretable machine learning model for predicting COVID-19 severity. First, variants were converted into sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. After that, the Boolean features, selected by these logistic models, were combined into an Integrated PolyGenic Score (IPGS), which offers a very simple description of the contribution of host genetics in COVID-19 severity.. IPGS leads to an accuracy of 55%–60% on different cohorts, and, after a logistic regression with both IPGS and age as inputs, it leads to an accuracy of 75%. The goal of this paper is to improve the previous results, using not only the most informative Boolean features with respect to the genetic bases of severity but also the information on host organs involved in the disease. In this study, we generalize the IPGS adding a statistical weight for each organ, through the transformation of Boolean features into “Boolean quantum features,” inspired by quantum mechanics. The organ coefficients were set via the application of the genetic algorithm PyGAD, and, after that, we defined two new integrated polygenic scores (IPGSph1 and IPGSph2). By applying a logistic regression with both IPGS, (IPGSph2 (or indifferently IPGSph1) and age as inputs, we reached an accuracy of 84%–86%, thus improving the results previously shown in Fallerini et al. (Human genetics, 2022, 141, 147–173) by a factor of 10%.

Background: Several commercial surrogate Virus Neutralization Tests (sVNTs) have been developed in the last year. Neutralizing anti-SARS-CoV-2 antibodies through interaction with Spike protein Receptor Binding Domain (S-RBD) can block the virus from entering and infecting host cells. However, there is a lack of information about the functional activity of SARS-CoV-2 antibodies that may be associated with protective responses. For these reasons, to counteract viral infection, the conventional virus neutralization test (VNT) is still considered the gold standard. The aim of this study was to contribute more and detailed information about sVNTs’ performance, by determining in vitro the anti-SARS-CoV-2 neutralizing antibody concentration using four different commercial assays and then comparing the obtained data to VNT. Methods: Eighty-eight samples were tested using two chemiluminescence assays (Snibe and Mindray) and two ELISA assays (Euroimmun and Diesse). The antibody titers were subsequently detected and quantified by VNT. Results: The overall agreement between each sVNT and VNT was 95.45% for Euroimmun and 98.86% for Diesse, Mindray and Snibe. Additionally, we investigated whether the sVNTs were closer to the gold standard than traditional anti-SARS-CoV-2 antibody assays S-RBD or S1 based, finding a higher agreement mean value for sVNTs (98.01 ± 1.705% vs 95.45 ± 1.921%; p < 0.05). Furthermore, Spearman’s statistical analysis for the correlation of sVNT versus VNT showed r = 0.666 for Mindray; r = 0.696 for Diesse; r = 0.779 for Mindray and r = 0.810 for Euroimmun. Conclusions: Our data revealed a good agreement between VNT and sVNTs. Despite the VNT still remains the gold standard, the sVNT might be a valuable tool for screening wider populations.

In this study, the prevalence of Ureaplasma parvum in the area of Prato (Italy) was investigated. Samples from 1197 consecutive patients were analyzed. Our results showed that the prevalence of U. parvum was 33.6%, with a higher percentage in females than in males (40.6% vs 9%). In addition, the prevalence of U. parvum was significantly lower in older patients.

In this study we describe the use of Xpert MTB/RIF to give a rapid answer in case of strong clinical suspicion of tuberculosis and/or positive microscopy slide, from sample or culture, for auramine-rhodamine stain.

In this study, the prevalence of carbapenemase in the area of Prato (Italy), from January 2011 to August 2013, is reported. Samples showing carbapenem resistance were tested for lactamase production with disc diffusion and molecular methods. Totally, 48 out of 1542 patients with K. pneumoniae showed carbapenem resistance (42 KPC 5 MBL and 1 OXA-48).

Introduction: The use of the MALDI-TOF mass spectrometry in the routine of microbiological diagnostics has revolutionized procedures and response times of bacteriology.The use of this technique aims to epidemiological investigations in a hospital environment and represents a further significant opportunity, quickly feasible and extremely economical. Methods: By means of the MALDI-TOF-MS Vitek2 (MS Vitek2) mass spectrometer, accompanied by the AgnosTec-SARAMIS (bioMérieux, France) software, were analyzed the spectra of 149 bacterial isolates (139 Staphylococcus aureus and 10 Staphylococcus epidermidis) obtained from cultures of 148 patients (141 inpatients and 7 outpatients). Clinical isolates were stored at a temperature of -20°C.The isolates were then thawed and immediately cultured on agar blood medium. The colonies were subjected to analysis by MS Vitek on the day after sowing. The spectra obtained were analyzed and compared using the software AgnosTec-SARAMIS, which allowed the construction of a dendrogram. Results and conclusions: The evaluation of the data collected suggests that mass spectrometry could be an useful tool in epidemiological surveys. Speed of analysis and low costs make the MS Vitek2 an usable tool by many microbiology laboratories.

Introduction: The MALDI-TOF has recently become part of the methods of microbiological investigation in many laboratories of bacteriology with advantages both practical and economical.The use of this technique for the rapid identification of the causative agents of sepsis is of strategic importance to the ability to provide the clinician with useful information for a prompt and rapid establishment of an empirical antimicrobial “targeted” therapy. Methods: It was tested a total of 343 positive blood culture bottles from 211 patients. The samples after collection were incubated in the BACTEC FX (Becton Dickinson, USA). From these bottles were taken a few milliliters of broth culture and transferred into a vacutainer tube containing gel. This was centrifuged, the supernatant was decanted, and finally recovered the bacterial suspension on the gel. With micro-organisms recovered in this way, after several washes with distilled water, was prepared a slide for microscopic examination with Gram stain, and a plate for mass spectrometry (MS-Vitek, bioMérieux, France).Then, the same samples were inoculated on solid agar media according to the protocol in use in our laboratory.The next day was checked the possible bacterial growth on solid media; we then proceeded to the identification of the colonies by Vitek MS and / or with the system Vitek2 (bioMérieux, France). Results: 258 (75.2%) positive vials show concordant results between direct identification and identification after growth on agar. For 83 (24.2%) positive bottles there has been full compliance with the microscopic examination but not with culture. In particular, two bottles (0.6%) have given complete discordance between the direct identification and that after growth. Conclusions: The protocol we use for the direct identification of organisms responsible for sepsis, directly on positive bottles, seems to be a quick and inexpensive procedure, which in less than 60 minutes can give valuable feedback to the clinician.

Clostridium difficile, a Gram positive, spore-forming, anaerobic bacillus, is an important nosocomial enteric pathogen causing diarrhoea and pseudomembranous colitis. Aim of this study was to evaluate the prevalence of Clostridium difficile in Prato Hospital. Stool samples were collected from 1197 patients hospitalized from January 2010 to December 2011. In all the samples the common antigen GDH was investigated and only in samples positive for the antigen the presence of the A and B toxins was investigated. Our results showed that 170/1197 samples (14%) were positive for the antigen, and of these 170 patients, 84 (49%) were found positive also for the toxins. In addition the percentage of samples positive for toxins was higher in 2010 (8.6%) than in 2011 (5.9%).

Intoduction. The sexually transmitted diseases include a large group of infections affecting both the sexes. In this study we evaluated the prevalence of Trichomonas vaginalis, Mycoplasma hominis, Mycoplasma genitalium, Chlamydia trachomatis, Neisseria gonorrhoeae and Ureaplasma urealyticum in the Prato area during the period September 2010 – July 2011. Methods.We analysed different kind of samples (urine, endocervical swabs, urethral swabs, seminal fluids) from hospitalized patients or referred to the Prato clinic subjects.The DNA was obtained using EZ1-DNA extraction kit and EZ1 instrument.The DNA was then amplified using the Seeplex STD6 kit (Seegene, Korea), identifying multiple pathogens simultaneously (T. vaginalis, M. hominis, M. genitalium, C. trachomatis, N. gonorrhoeae e U. urealyticum). The revelation was performed by electrophoresis on microchip (instrument Multina, Shimadzu, Japan). Results. 1136 samples from Italian and foreign patients were examined: 876 were endocervical swabs (77%), 103 urethral swabs (9%), 103 seminal fluids (9%), and 54 urines (5%). The number of females was higher than males [894 (78.7%) vs 242 (21.3%)]; the mean age of females was 37.0±11.6 years, whereas that of males was 41.5 ±12.63 years.The prevalence of urogenital pathogens was: 15 positive samples for T. vaginalis (1.3%), 56 for M. hominis (4.9%), 13 for M. genitalium (1.1%), 28 for C. trachomatis (2.5%), 8 for N. gonorrhoeae (0.7%) and 87 for U. urealyticum (7.7%).Among all positive, 25 subjects were positive for more than one pathogen and in particular: one was positive for the presence of 4 pathogens, five presented 3 pathogens simultaneously and the remaining nineteen for 2 pathogens. Conclusions. This study provides data on the prevalence of sexually transmitted diseases in the hospital of Prato.

Mass Spectrometry is an old technique that has recently been introduced in the clinical microbiology laboratory as Matrix Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS). MALDI is a soft ionization technique used in mass spectrometry that allows the analysis of biomolecules and large organic molecules which tend to be fragile and fragment when ionized.To obtain ions biological specimens are mixed with a matrix which specifically absorbs the ionization source (a laser beam). The high energy impact is followed by the formation of ions which are extract through an elastic field, focussed and detected as mass/charge (m/z) spectrum.The differences between ions are seen with TOF, a revelation system that relates the time of flight of a ion to the charge/mass value: ion with a higher m/z have are slower (a bigger time of flight) than ions with lower m/z. MALDI-TOF MS, in clinical microbiology laboratory, is used to identify bacteria and fungi directly from samples. The identification of microorganisms can be performed directly from body fluids (e.g. urine, blood culture, after centrifugation and recovery of microorganisms) or from colonies (after cultivation). The rapidity of identification is of great importance in blood cultures. Positive cultures with one microorganism are processed in a different way than those with more than one microorganism. In positive monomicrobial cultures, after separation of microbs from blood cells,we can perform an immediate identification with MALDI-TOF MS that we can communicate to the clinician, and that gives indication to perform the correct antibiogram. Major problems are present when more than one microorganism are in the culture: in this case we have to use the method of subcultivation and then the identification with mass-spectrometry can be performed. MALDI-TOF MS is a rapid, reliable and low cost technique, that can identify a growing number of microorganisms. This technique can significantly reduce the time to give an identification, that is of great importance, particularly in blood culture, where the success of therapy is strictly linked to its early beginning.