Antimicrobial Resistance and Multidrug-Resistant Bacteria in Infectious Patients, 2nd Edition

A special issue of Microorganisms (ISSN 2076-2607). This special issue belongs to the section "Antimicrobial Agents and Resistance".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 937

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Department of Odontostomatology and surgery, University Aldo Moro of Bari, 70010 Bari, Italy
Interests: preventive medicine; infectious diseases; public health; applied microbiology; sexual infectious diseases; pandemic COVID-19; antibiotic-resistance
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IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy
Interests: preventive medicine; infectious diseases; public health; applied microbiology; sexual infectious diseases; pandemic COVID-19; antibiotic -resistance
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IRCCS Cancer Institute "Giovanni Paolo II", Bari, Italy
Interests: preventive medicine; infectious diseases; public health; applied microbiology; sexual infectious diseases; pandemic COVID-19; antibiotic-resistance
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Istituto Zooprofilattico Sperimentale della Puglia e della Basilicata, 71100 Foggia, Italy
Interests: preventive medicine; infectious diseases; public health; applied microbiology; sexual infectious diseases; pandemic COVID-19; antibiotic-resistance
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of our 2024 Special Issue titled "Antimicrobial Resistance and Multidrug-Resistant Bacteria in Infectious Patients".

Welcome to this Special Issue of Microorganisms, titled “Antimicrobial Resistance and Multidrug-Resistant Bacteria in Infectious Patients, 2nd Edition”.

Antimicrobial resistance is considered a worldwide burden, affecting the patients of critical hospital wards, such as intensive care units (ICUs). Hospitalized patients have been demonstrated to have an increased risk of developing infections due to exposure to several invasive devices (mechanical ventilation, urinary tract catheters) and to other related conditions. Careful clinical surveillance, together with the monitoring of the well-known bacterial strains responsible for inducing HAI, may help clinicians to choose the appropriate antibiotic therapy.

Bacterial infections have always impacted humans, and were particularly harmful until the discovery of antibiotics, which revolutionized the treatment of infectious diseases. Because of their ability to survive in different environments, bacteria are increasingly able to face antibacterial treatments over time by means of different adaptative strategies. They can modify the quaternary structure of specific target proteins, substitute metabolic pathways by synthesizing alternative biomolecules, and produce enzymes capable of inactivating antibiotics; this is also possible through their camouflaged structure, for example, behind a proteoglycan capsule.

A common bacterial weapon against penicillin is the beta-lactamase enzyme, which alters the beta-lactamic structure, thus maintaining the stability of the bacterial wall and creating the local conditions needed to promote several diseases. Bacteria are also able to synthesize effective isoforms of the beta-lactamase enzyme; extended-spectrum beta lactamase (ESBL) and ESBL carbapenemase give bacteria resistance to third-generation cephalosporins and carbapenamase-class antibiotics, respectively. These antibiotics are widely used in several nosocomial infections.

Recently, several strategies have been proposed to face this challenge, such as strong prevention or the support of computer-based analyses. The EU’s call for projects has also promoted the development of innovative artificial intelligence (AI) solutions to prevent infections inside clinical departments. In particular, an interesting ongoing project (LAOCOONTE, by Energent S.p.A.) has the objective of developing specific use cases, where data can be used by machine- and deep-learning models to evaluate the likelihood of infection in clinical departments, in an Italian clinical setting. This approach is very promising; in fact, AI currently plays an important role in different fields, from smart manufacturing to the internet of things, human–computer interaction, and medicine.

The attention paid by the scientific community and industry to the field of AI is related to the excellent performance achieved in recent years by so-called artificial neural networks, and in particular deep architectures, in various fields such as text, images, and audio.

Nosocomial infections (NIs) are even more preventable, as they represent a biological and social cost for hospitalized patients. The growing availability of computerized patient records in hospitals allows for the improvement of data storage with traditional machine-learning methods, which have been shown to outperform deep learning’s performance when applied to tabular data.

Additionally, nanoparticles associated with antibiotics are used as an effective therapeutic method to combat multi-drug-resistant bacteria, and gold nanoparticles are used against viruses such as HIV and Ebola.

Prof. Dr. Danila De Vito
Dr. Patrizia Nardulli
Dr. Maria Rita Laforgia
Dr. Antonio Parisi
Guest Editors

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Keywords

  • diffusion multi-drug resistant bacteria
  • outbreak by ESKAPE bacteria
  • hospital infections
  • care-related infections
  • anti-microbial nano-particles
  • role of antimicrobial nanomaterials in medicine
  • mechanism of action of antimicrobial nanomaterials
  • antimicrobial food packaging

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Published Papers (1 paper)

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14 pages, 1117 KiB  
Article
Retrospective and Prospective Surveillance and Clinical Presentation of Parvovirus B19 in Veneto, Italy, 2024
by Michele Tonon, Stefan-Alexandru Panaite, Davide Gentili, Anna Ferraresso, Filippo Da Re, Debora Ballarin, Francesca Zanella, Maria Teresa Padovan, Michela Pascarella, Sara Mondino, Flavia Riccardo, Anna Teresa Palamara, Nicola Cogo, Marco Milani, Michele Nicoletti, Gloria Pagin, Maria Silvia Varalta, Andrea Cozza, Romina Cazzaro, Francesca Russo and Vincenzo Baldoadd Show full author list remove Hide full author list
Microorganisms 2025, 13(2), 430; https://doi.org/10.3390/microorganisms13020430 - 16 Feb 2025
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Abstract
The recent increase in parvovirus B19 (B19V) infections across Europe has underscored the need for enhanced surveillance. In Italy, B19V surveillance is not mandated nationally. This ambispective (retrospective and prospective) study aimed to assess the epidemiological and clinical characteristics of the 2024 apparent [...] Read more.
The recent increase in parvovirus B19 (B19V) infections across Europe has underscored the need for enhanced surveillance. In Italy, B19V surveillance is not mandated nationally. This ambispective (retrospective and prospective) study aimed to assess the epidemiological and clinical characteristics of the 2024 apparent surge in the Veneto Region by implementing mandatory disease notification starting in May 2024 and collecting clinical data on confirmed cases. During the surveillance period, 3156 B19V cases were reported, with 2.9% (93/3156) requiring hospitalisation (95% CI 2.4–3.5%). Children under 1 year of age exhibited the highest hospitalisation rate (29.0%), followed by adults aged 18–40 (17.5%). Infections disproportionately affected children aged 1–5 and 6–11, and the Granger causality test showed that an increase in cases among the 1–5-year-olds was predictive of subsequent rises in other age groups (p = 0.0086). Severe complications, including myocarditis, pericarditis, and miscarriage, were observed, and one death occurred following cardiac and neurological complications in a patient without prior risk factors. The presence of concurrent pathologies, particularly haematological disorders, was associated with increased disease severity. These findings highlight the importance of early warning when cases begin rising among preschool-aged children and underscore the need for improved B19V awareness, particularly in high-risk populations. Future efforts should evaluate the feasibility of implementing a systematic, potentially EU-wide, surveillance for B19V. Full article
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