Stewardship antibiotica neonatale: valutazione dell'esposizione antimicrobica nelle sospette early onset sepsis (EOS)

Background: Le early-onset sepsis (EOS) sono infezioni batteriche invasive definite dalla presenza di batteri nel sangue e/o nel liquor cefalorachidiano che esordiscono nelle prime 72 ore di vita e causano in epoca neonatale mortalità e morbilità importanti. Scopo: Determinare l’eccesso di trattamento antibiotico (Overtreatment index=OI) nei neonati di EG ≥34 settimane con sospetta sepsi ad esordio precoce. Metodi: Tutti i nati dal 1.01.2014 al 31.12.2018 di EG ≥34 settimane presso IRCCS Azienda Ospedaliero-Universitaria e l’Ospedale Maggiore di Bologna che hanno ricevuto terapia antibiotica endovenosa nelle prime 168 ore di vita nel sospetto di EOS. Sono stati identificati 2 gruppi: EOS provata (N=7) ed EOS sospetta (N=465). Risultati: L’incidenza di EOS è stata 0.22 su 1000 nati vivi, rispettivamente 0.12/1000 per Streptococcus agalactiae (GBS) e 0.06/1000 per Escherichia coli (E.coli). L’1.75% dei neonati ha ricevuto terapia antimicrobica empirica a largo spettro. L’OI è risultato 68. L’esposizione al trattamento antibiotico nella popolazione è stata di 85 giorni/1000 nati vivi. Tra i fattori di rischio materni, il tampone vagino-rettale (TVR) e l’urinocoltura positiva sono risultati associati al rischio di EOS provata (p=.017, p =.000). I valori di proteina C reattiva (PCR) al T0, T1 e T2 tra i due gruppi sono risultati significativi (p=.000). All’analisi multivariata è stata confermata la significatività delle variabili descritte. (TVR non noto OR=15.1, 95%CI 1.98-115.50, p =.009, urinocoltura positiva OR=30.1, 95%CI 3.6-252.1, p = .002, PCR T0 OR=1.6, 95% CI 1.29-2.07, p = .000.) Conclusioni: L’individuazione precoce di fattori di rischio e la valutazione degli indici di flogosi in neonati sintomatici può ridurre l’OI e la durata della terapia antibiotica in casi di sepsi non confermata. L’uso appropriato degli antibiotici in questa popolazione è particolarmente importante poichè riduce lo sviluppo di germi multiresistenti. Nelle Terapie Intensive Neonatali, i programmi di stewardship antimicrobica dovrebbero guidare la gestione delle sepsi.

Characterizing “Exposure-PK/PD-Biomarker” relationships in patients with hematologic malignancies

Antimicrobial stewardship programs are gaining more and more relevance in optimizing anti-infective treatment and in preventing the emergence of antimicrobial resistance. Personalization of antimicrobial treatment based on real-time therapeutic drug morning (TDM) and dosing adaptation may represent an important tool in antimicrobial stewardship programs. In this Ph.D project, we aim to focus on differences in pharmacokinetics (PK) for meropenem and piperacillin/tazobactam and host response biomarkers (e.g., C-reactive protein) in severe Gram‐negative related infections occurring in oncohematologic patients. We are interested in identifying optimized model‐based individualized dosing strategies for these antibiotics focusing on biomarkers-guided prediction of PK and pharmacodynamic (PD) parameters using population PK/PD modelling. We expect to identify optimal model‐based dosing targets for these antibiotics for special populations for implementation in TDM routines, and mathematical models characterizing the relationship between biomarkers and outcomes in these populations.

Antimicrobial activity of peach and grapevine defensins

Antimicrobial peptides (AMPs) are an important component of the innate immune system of the plants. Plant defensins are a large family of antimicrobial peptides with several interesting features, such as small dimension, high stability and broad spectrum of action. The discovery of new molecules and the study of their mechanism of action allow to consider them attractive for biotechnological applications. In this PhD thesis a defensin from Prunus persica (PpDFN1) and four novel DEFensin Like (DEFL) peptides from Vitis vinifera have been studied. In order to characterize the antimicrobial activity of these molecules, the recombinant mature peptides have been expressed in Escherichia coli and purified to homogeneity by chromatography techniques. PpDFN1 is able to inhibit the growth of B. cinerea, P. expansum and M. laxa with different intensity. The recombinant peptide is capable of membrane permeabilization as demonstrated by SYTOX green fluorescence uptake in treated mycelia. Its interaction with membranes containing sphingolipid species has been shown by artificial lipid monolayers. Furthermore, PpDFN1 displays stronger interaction with monolayers composed by lipids extracted from sensitive fungi with the highest interaction against P. expansum, the most sensitive fungi to PpDFN1 action. DEFL 13, a defensin from grapevine, resulted the strongest antibotrytis peptides. It is electrostatically attracted to the fungal membranes as shown by the antagonist effect of the cations and is able to membrane permeabilization in B. cinerea hyphae. DEFL 13 is internalized in fungal cells and leads to fungal death by activation of some signaling pathways as demonstrated by screening of a mutant collection of B. cinerea

Phenotypic and genotypic characterisation of antimicrobial resistance in Escherichia coli indicator of animal, food and human origin.

This thesis presents AMR phenotypic evaluation and whole genome sequencing analysis of 288 Escherichia coli strains isolated from different sources (livestock, companion animal, wildlife, food and human) in Italy. Our data reflects general resistance trends in Europe, reporting tetracycline, ampicillin, sulfisoxazole and aminoglycosides resistance as the most common phenotypic AMR profile among livestock, pets, wildlife and humans. Identification of human and animal (livestock and companion animal) AMR profiles in niches with a rare (fishery, mollusc) or absent (vegetable, wild animal, wild boar) direct exposure to antimicrobials, suggests widespread environmental pollution with ARGs conferring resistance to these antimicrobials. Phenotypic resistance to highest priority critically important antimicrobials was mainly observed in food-producing animals and related food such as rabbit, poultry, beef and swine. Discrepancies between AMR phenotypic pattern and genetic profile were observed. In particular, phenotypic aminoglycoside, cephalosporin, meropenem, colistin resistance and ESBL profile did not have a genetic explanation in different cases. This data could suggest the diffusion of new genetic variants of ARGs, associated to these antimicrobial classes. Generally, our collection shows a virulence profile typical of extraintestinal pathogenic Escherichia coli (ExPEC) pathotype. Different pandemic and emerging ExPEC lineages were identified, in particular in poultry meat (ST10; ST23; ST69, ST117; ST131). Rabbit was suggested as a source of ST20-ST40 potential hybrid pathogens. Wildlife carried a high average number (10) of VAGs (mostly associated to ExPEC pathotype) and different predominant ExPEC lineages (ST23, ST117, ST648), suggesting its possible involvement in maintenance and diffusion of virulence determinants. In conclusion, our study provides important knowledge related to the phenotypic/genetic AMR and virulence profiles circulating in E. coli in Italy. The role of different niches in AMR dynamics has been discussed. In particular, food-producing animals are worthy of continued investigation as a source of potential zoonotic pathogens, meanwhile wildlife might contribute to VAGs spread.

Computational resources for structural and metagenomic characterization of functions in bacteria and bacterial communities. Antimicrobial resistance, pathways for xenobiotic degradation and relationship between gut microbiome and ageing.

Prokaryotic organisms are one of the most successful forms of life, they are present in all known ecosystems. The deluge diversity of bacteria reflects their ability to colonise every environment. Also, human beings host trillions of microorganisms in their body districts, including skin, mucosae, and gut. This symbiosis is active for all other terrestrial and marine animals, as well as plants. With the term holobiont we refer, with a single word, to the systems including both the host and its symbiotic microbial species. The coevolution of bacteria within their ecological niches reflects the adaptation of both host and guest species, and it is shaped by complex interactions that are pivotal for determining the host state. Nowadays, thanks to the current sequencing technologies, Next Generation Sequencing, we have unprecedented tools for investigating the bacterial life by studying the prokaryotic genome sequences. NGS revolution has been sustained by the advancements in computational performance, in terms of speed, storage capacity, algorithm development and hardware costs decreasing following the Moore’s Law. Bioinformaticians and computational biologists design and implement ad hoc tools able to analyse high-throughput data and extract valuable biological information. Metagenomics requires the integration of life and computational sciences and it is uncovering the deluge diversity of the bacterial world. The present thesis work focuses mainly on the analysis of prokaryotic genomes under different aspects. Being supervised by two groups at the University of Bologna, the Biocomputing group and the group of Microbial Ecology of Health, I investigated three different topics: i) antimicrobial resistance, particularly with respect to missense point mutations involved in the resistant phenotype, ii) bacterial mechanisms involved in xenobiotic degradation via the computational analysis of metagenomic samples, and iii) the variation of the human gut microbiota through ageing, in elderly and longevous individuals.

Crystal engineering strategies against antimicrobial resistance: a solid contribution to a contemporary problem

This PhD thesis sets its goal in the application of crystal engineering strategies to the design, formulation, synthesis, and characterization of innovative materials obtained by combining well established biologically active molecules and/or GRAS (generally recognized as safe) compounds with co-formers able to modulate specific properties of the molecule of interest. The solid-state association, via non-covalent interactions, of an active ingredient with another molecular component, a metal salt or a complex, may alter in a useful way the physicochemical properties of the active ingredient and/or may allow to explore new ways to enhance, in a synergistic way, the overall biological performance. More specifically this thesis will address the threat posed by the increasing antimicrobial resistance (AMR) developed by microorganisms, which call for novel therapeutic strategies. Crystal engineering provides new tools to approach this crisis in a greener and cost-effective way. This PhD work has been developed along two main research lines aiming to contribute to the search for innovative solutions to the AMR problem. Design, preparation and characterization of novel metal-based antimicrobials, whereby organic molecules with known antimicrobial properties are combined with metal atoms also known to exert antimicrobial action. Design, preparation and characterization of co-crystals obtained by combining antibacterial APIs (active pharmaceutical ingredients) with natural antimicrobials.