
Animals, Journal Year: 2024, Volume and Issue: 14(24), P. 3578 - 3578
Published: Dec. 11, 2024
Non-typhoidal
Language: Английский
Animals, Journal Year: 2024, Volume and Issue: 14(24), P. 3578 - 3578
Published: Dec. 11, 2024
Non-typhoidal
Language: Английский
Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 491, P. 137932 - 137932
Published: March 13, 2025
Language: Английский
Citations
1International Journal of Microbiology, Journal Year: 2025, Volume and Issue: 2025(1)
Published: Jan. 1, 2025
Background: Acinetobacter baumannii has become a significant problem in hospitals worldwide during the last decades. Biofilm formation is virulence factor that may affect antibiotic resistance. This study aimed to elucidate correlation between biofilm and biofilm‐related oxacillinase genes A . clinical isolates. Methods: was conducted on 53 isolates collected from affiliated with Babol University of Medical Sciences (Babol, Iran) April October 2023. Kirby–Bauer disc diffusion used determine antibacterial examined using crystal violet staining. Polymerase chain reaction detect ( b l OXA−23 , OXA−24 OXA−51 OXA−58 ) biofilm‐encoding bap PER−1 specific primers. Results: The strains showed highest resistance trimethoprim/sulfamethoxazole ciprofloxacin (98.11%) lowest ampicillin/sulbactam (66.03%). All formed biofilms. Also, 67.92%, 18.86%, 11.32% were strong, moderate, weak producers, respectively. frequencies 92.45%, 71.69%, 100%, 73.58%, 58.49%, None harbored Conclusions: high prevalence antibiotic‐resistant found among There no sample type formation, but notable link antimicrobial except for ciprofloxacin. Oxacillinase not significantly correlated production associated rather than Understanding process crucial effective control infections by targeting this mechanism.
Language: Английский
Citations
0NAR Genomics and Bioinformatics, Journal Year: 2025, Volume and Issue: 7(1)
Published: Jan. 7, 2025
Artificial intelligence (AI) has been shown to be beneficial in a wide range of bioinformatics applications. Horizontal Gene Transfer (HGT) is driving force evolutionary changes prokaryotes. It widely recognized that it contributes the emergence antimicrobial resistance (AMR), which poses particularly serious threat public health. Many computational approaches have developed study and detect HGT. However, application AI this field not investigated. In work, we conducted review provide information on current trend existing for detecting HGT decipher use field. Here, show growing interest detection, characterized by surge number approaches, including AI-based recent years. We organize into hierarchical structure groups based their methods how each group evolved. make recommendations discuss challenges detection general adoption particular. Moreover, future directions detection.
Language: Английский
Citations
0Antibiotics, Journal Year: 2025, Volume and Issue: 14(3), P. 296 - 296
Published: March 12, 2025
Extensive use of antibiotics in human healthcare as well agricultural and environmental settings has led to the emergence spread antibiotic-resistant bacteria, rendering many infections increasingly difficult treat. Coupled with limited development new antibiotics, rise antimicrobial resistance (AMR) caused a major health crisis worldwide, which calls for immediate action. Strengthening AMR surveillance systems is, therefore, crucial global national efforts combating this escalating threat. This review explores potential metagenomics, sequenced-based approach analyze entire microbial communities without need cultivation, transformative rapid tool improving strategies compared traditional cultivation-based methods. We emphasize importance monitoring mobile genetic elements (MGEs), such integrons, transposons, plasmids, bacteriophages (phages), relation their critical role facilitating dissemination determinants via horizontal gene transfer (HGT) across diverse environments clinical settings. In context, strengths limitations current bioinformatic tools designed detect AMR-associated MGEs metagenomic datasets, including emerging predictive machine learning models, are evaluated. Moreover, controversial phages transmission is discussed alongside phage therapy promising alternative conventional antibiotic treatment.
Language: Английский
Citations
0Microbiology and Molecular Biology Reviews, Journal Year: 2025, Volume and Issue: unknown
Published: April 8, 2025
SUMMARY Engineered microbes are being programmed using synthetic DNA for applications in soil to overcome global challenges related climate change, energy, food security, and pollution. However, we cannot yet predict gene transfer processes assess the frequency of unintentional engineered environmental when applying biology technologies at scale. This challenge exists because complex heterogeneous characteristics soils, which contribute fitness transport cells exchange genetic material within communities. Here, describe knowledge gaps about across microbiomes. We propose strategies improve our understanding communities, highlight need benchmark performance biocontainment measures situ , discuss responsibly engaging community stakeholders. opportunities address gaps, such as creating a set standards studying diverse types measuring host range microbiomes emerging technologies. By comparing rates, range, persistence different posit that community-scale, environment-specific models can be built anticipate biotechnology risks. Such studies will enable design safer biotechnologies allow us realize benefits mitigate risks associated with release
Language: Английский
Citations
0The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 177017 - 177017
Published: Oct. 18, 2024
Language: Английский
Citations
3Applied Microbiology, Journal Year: 2024, Volume and Issue: 4(4), P. 1476 - 1492
Published: Oct. 19, 2024
The emergence of antimicrobial resistance (AMR) in pathogens transmitted through food poses a significant threat to global public health, complicating infection treatment and increasing mortality rates. This review explores the role resistome mapping as crucial tool for understanding transmission dynamics genes (ARGs) foodborne pathogens, such Salmonella, Escherichia coli, Listeria monocytogenes, Campylobacter spp., well various techniques mapping, metagenomic sequencing, PCR-based methods, whole-genome sequencing (WGS), highlighting significance horizontal gene transfer (HGT) key mechanism ARG dissemination pathogens. Additionally, we investigated influence agricultural practices environmental factors on AMR development, critical need improved surveillance, antibiotic stewardship, collaboration mitigate spread resistant ARGs chain. perceptions gained from play an essential developing effective approaches address ensure safety.
Language: Английский
Citations
1Cureus, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 6, 2024
The overuse of antibiotics has caused antibiotic-resistant bacteria to develop, making it increasingly difficult treat infections. consequences antibiotic resistance are significant and far-reaching. Antibiotic leads longer hospital stays, higher healthcare costs, a decreased ability undergo surgeries other medical procedures that rely on prevent This threatens the development new antibiotics, as pharmaceutical companies less likely invest in drugs may be effective due resistance. We need work together Healthcare professionals general public aware dangers overusing misusing we impress upon government incentives support provided industry help develop antibiotics. take action now spread drug-resistant protect health.
Language: Английский
Citations
0Animals, Journal Year: 2024, Volume and Issue: 14(24), P. 3578 - 3578
Published: Dec. 11, 2024
Non-typhoidal
Language: Английский
Citations
0