A Review of the Resistance Mechanisms for β -Lactams, Macrolides and Fluoroquinolones among Streptococcus pneumoniae .
Nurul Izzaty Najwa ZahariEngku Nur Syafirah Engku Abd RahmanAhmad Adebayo IrekeolaNaveed AhmedAli A RabaanJawaher M Al-OtaibiShayea A AlqahtaniMohammed Y HalawiIbrahim Ateeq AlamriMohammed Suliman AlmogbelAmal H AlfarajFatimah Al IbrahimManar AlmaghaslahMohammed AlissaChan Yean YeanPublished in: Medicina (Kaunas, Lithuania) (2023)
Streptococcus pneumoniae (S. pneumoniae) is a bacterial species often associated with the occurrence of community-acquired pneumonia (CAP). CAP refers to a specific kind of pneumonia that occurs in individuals who acquire the infection outside of a healthcare setting. It represents the leading cause of both death and morbidity on a global scale. Moreover, the declaration of S. pneumoniae as one of the 12 leading pathogens was made by the World Health Organization (WHO) in 2017. Antibiotics like β -lactams, macrolides, and fluoroquinolones are the primary classes of antimicrobial medicines used for the treatment of S. pneumoniae infections. Nevertheless, the efficacy of these antibiotics is diminishing as a result of the establishment of resistance in S. pneumoniae against these antimicrobial agents. In 2019, the WHO declared that antibiotic resistance was among the top 10 hazards to worldwide health. It is believed that penicillin-binding protein genetic alteration causes β -lactam antibiotic resistance. Ribosomal target site alterations and active efflux pumps cause macrolide resistance. Numerous factors, including the accumulation of mutations, enhanced efflux mechanisms, and plasmid gene acquisition, cause fluoroquinolone resistance. Furthermore, despite the advancements in pneumococcal vaccinations and artificial intelligence (AI), it is not feasible for individuals to rely on them indefinitely. The ongoing development of AI for combating antimicrobial resistance necessitates more research and development efforts. A few strategies can be performed to curb this resistance issue, including providing educational initiatives and guidelines, conducting surveillance, and establishing new antibiotics targeting another part of the bacteria. Hence, understanding the resistance mechanism of S. pneumoniae may aid researchers in developing a more efficacious antibiotic in future endeavors.
Keyphrases
- artificial intelligence
- healthcare
- antimicrobial resistance
- machine learning
- public health
- community acquired pneumonia
- binding protein
- big data
- deep learning
- crispr cas
- escherichia coli
- staphylococcus aureus
- gram negative
- risk assessment
- clinical practice
- intensive care unit
- drug delivery
- social media
- quality improvement
- climate change
- multidrug resistant
- replacement therapy
- genome wide identification