Antimicrobial Resistance and Multidrug-Resistant Bacteria in Infectious Patients (2026)

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 2026 | Viewed by 536

Editors


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School of Medicine, University of Bari Aldo Moro, 70124 Bari, Italy
Interests: preventive medicine; infectious diseases; public health; applied microbiology; sexual infectious diseases; pandemic COVID-19; antibiotic-resistance
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Pharmacy Unit, National Cancer Research Centre, "Giovanni Paolo II", 70124 Bari, 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

E-Mail Website
Guest Editor
Pharmacy Unit, National Cancer Research Centre, "Giovanni Paolo II", 70124 Bari, 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

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Guest Editor
Department of Life Science, Health and Health Professions, Link Campus University, 00165 Rome, Italy
Interests: oral oncology; oral microbiome; periodontal disease; salivary biomarkers; regenerative medicine; probiotics; molecular diagnostics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of our previous Special Issue, “Antimicrobial Resistance and Multidrug-Resistant Bacteria in Infectious Patients”.

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 therapies.

Bacterial infections have impacted humans throughout the centuries, 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 able to inactivate antibiotics; this is also possible through the camouflage of their 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 building of the bacterial wall and creating the local conditions to promote several diseases. Bacteria are also able to synthesize effective isoforms of the beta-lactamase enzyme; the extended-spectrum beta lactamase (ESBL) and the 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 AI field is related to the excellent performance achieved in recent years by the so-called artificial neural networks, in particular the 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 to 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.

We look forward to your submissions.

Prof. Dr. Danila de Vito
Prof. Patrizia Nardulli
Dr. Mariarita Laforgia
Dr. Andrea Ballini
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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8 pages, 653 KB  
Case Report
Co-Colonization by Multiple Multidrug-Resistant Organisms in a Long-Term Neurorehabilitation Setting: A Case Report
by Camilla Grifoni, Chiara Bonaiuto, Nicla Giovacchini, Marco Coppi, Alberto Antonelli, Simona Pollini, Roberto Pupillo and Gian Maria Rossolini
Microorganisms 2026, 14(8), 1731; https://doi.org/10.3390/microorganisms14081731 - 7 Aug 2026
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Abstract
Neurorehabilitation units (NRUs) are long-term care settings associated with multiple risk factors for carriage and infection by multidrug-resistant organisms (MDROs), including prolonged hospitalization, the use of invasive medical devices, high antibiotic exposure, and multiple comorbidities. We report the case of a patient admitted [...] Read more.
Neurorehabilitation units (NRUs) are long-term care settings associated with multiple risk factors for carriage and infection by multidrug-resistant organisms (MDROs), including prolonged hospitalization, the use of invasive medical devices, high antibiotic exposure, and multiple comorbidities. We report the case of a patient admitted to an NRU for rehabilitation after cerebral hemorrhage who developed complex co-colonization by several MDROs, including Pseudomonas aeruginosa producing either FIM or VIM metallo-β-lactamases, Acinetobacter baumannii producing OXA-23 serine-carbapenemase, Klebsiella pneumoniae producing either KPC or OXA-48 serine-carbapenemases or both, Proteus mirabilis producing VEB extended-spectrum β-lactamase, and vancomycin-resistant Enterococcus faecium of the VanA type. During the 22-month hospitalization, the patient experienced several infection episodes, some of which were apparently related with colonizing MDROs. This case highlights that co-colonization by multiple MDROs may occur in patients admitted to NRUs in endemic settings, and emphasizes the importance of implementing targeted infection prevention and control strategies in these healthcare environments. Full article
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