Mechanisms and Evolution of Antimicrobial Resistance in Ophthalmology: Surveillance, Clinical Implications, and Future Therapies
Abstract
1. Introduction
2. Global and Regional Surveillance of Antimicrobial Resistance in Ophthalmology
3. Mechanisms of Antimicrobial Resistance in Ocular Pathogens
4. Drivers of Resistance in Ophthalmology
5. Evolution of Multidrug-Resistant Ocular Pathogens
6. Diagnostic Advances in Ophthalmology
7. Strategies to Mitigate Antimicrobial Resistance in Ophthalmology
8. Future Directions
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
References
- Tang, K.W.K.; Millar, B.C.; Moore, J.E. Antimicrobial Resistance (AMR). Br. J. Biomed. Sci. 2023, 80, 11387. [Google Scholar] [CrossRef]
- Clare, G.; Kempen, J.H.; Pavésio, C. Infectious eye disease in the 21st century—An overview. Eye 2024, 38, 2014–2027. [Google Scholar] [CrossRef]
- Osei Duah Junior, I.; Tchiakpe, M.P.; Borquaye, L.S.; Amoah, K.; Amankwah, F.K.D.; Kumah, D.B.; Ofori, L.A.; Danso-Appiah, A.; Prempeh, B.O.; Gbedema, S.Y.; et al. Clinical characteristics of external bacterial ocular and periocular infections and their antimicrobial treatment patterns among a Ghanaian ophthalmic population. Sci. Rep. 2022, 12, 10264. [Google Scholar] [CrossRef] [PubMed]
- Cabrera-Aguas, M.; Chidi-Egboka, N.; Kandel, H.; Watson, S.L. Antimicrobial resistance in ocular infection: A review. Clin. Exp. Ophthalmol. 2024, 52, 258–275. [Google Scholar] [CrossRef] [PubMed]
- Armstrong, R.A. The microbiology of the eye. Ophthalmic Physiol. Opt. 2000, 20, 429–441. [Google Scholar]
- Bertino, J.S., Jr. Impact of antibiotic resistance in the management of ocular infections: The role of current and future antibiotics. Clin. Ophthalmol. 2009, 3, 507–521. [Google Scholar] [CrossRef]
- Iwasaki, T.; Nejima, R.; Miyata, K. Ocular surface flora and prophylactic antibiotics for cataract surgery in the age of antimicrobial resistance. Jpn. J. Ophthalmol. 2022, 66, 111–118. [Google Scholar] [CrossRef]
- Kim, S.J.; Toma, H.S. Ophthalmic antibiotics and antimicrobial resistance a randomized, controlled study of patients undergoing intravitreal injections. Ophthalmology 2011, 118, 1358–1363. [Google Scholar] [CrossRef] [PubMed]
- Ting, D.S.J.; Ho, C.S.; Deshmukh, R.; Said, D.G.; Dua, H.S. Infectious keratitis: An update on epidemiology, causative microorganisms, risk factors, and antimicrobial resistance. Eye 2021, 35, 1084–1101. [Google Scholar] [CrossRef]
- Lee, A.E.; Niruttan, K.; Rawson, T.M.; Moore, L.S. Antibacterial resistance in ophthalmic infections: A multi-centre analysis across UK care settings. BMC Infect. Dis. 2019, 19, 768. [Google Scholar] [CrossRef]
- Teweldemedhin, M.; Gebreyesus, H.; Atsbaha, A.H.; Asgedom, S.W.; Saravanan, M. Bacterial profile of ocular infections: A systematic review. BMC Ophthalmol. 2017, 17, 212. [Google Scholar] [CrossRef]
- Bispo, P.J.M.; Sahm, D.F.; Asbell, P.A. A Systematic Review of Multi-decade Antibiotic Resistance Data for Ocular Bacterial Pathogens in the United States. Ophthalmol. Ther. 2022, 11, 503–520. [Google Scholar] [CrossRef]
- Dave, S.B.; Toma, H.S.; Kim, S.J. Ophthalmic antibiotic use and multidrug-resistant staphylococcus epidermidis: A controlled, longitudinal study. Ophthalmology 2011, 118, 2035–2040. [Google Scholar] [CrossRef]
- Astley, R.A.; Mursalin, M.H.; Coburn, P.S.; Livingston, E.T.; Nightengale, J.W.; Bagaruka, E.; Hunt, J.J.; Callegan, M.C. Ocular Bacterial Infections: A Ten-Year Survey and Review of Causative Organisms Based on the Oklahoma Experience. Microorganisms 2023, 11, 1802. [Google Scholar] [CrossRef]
- Lakshmanan, K.; Liu, B.M. Impact of Point-of-Care Testing on Diagnosis, Treatment, and Surveillance of Vaccine-Preventable Viral Infections. Diagnostics 2025, 15, 123. [Google Scholar] [CrossRef] [PubMed]
- Burdon, K.P. The utility of genomic testing in the ophthalmology clinic: A review. Clin. Exp. Ophthalmol. 2021, 49, 615–625. [Google Scholar] [CrossRef] [PubMed]
- Taravati, P.; Lam, D.; Van Gelder, R.N. Role of Molecular Diagnostics in Ocular Microbiology. Curr. Ophthalmol. Rep. 2013, 1, 181–189. [Google Scholar] [CrossRef] [PubMed]
- Karnwal, A.; Jassim, A.Y.; Mohammed, A.A.; Al-Tawaha, A.R.M.S.; Selvaraj, M.; Malik, T. Addressing the global challenge of bacterial drug resistance: Insights, strategies, and future directions. Front. Microbiol. 2025, 16, 1517772. [Google Scholar] [CrossRef]
- Górski, A.; Targońska, M.; Borysowski, J.; Weber-Dąbrowska, B. The Potential of Phage Therapy in Bacterial Infections of the Eye. Ophthalmologica 2009, 223, 162–165. [Google Scholar] [CrossRef]
- Polat, H.K.; Kurt, N.; Aytekin, E.; Bozdağ Pehlivan, S.; Çalış, S. Novel Drug Delivery Systems to Improve the Treatment of Keratitis. J. Ocul. Pharmacol. Ther. 2022, 38, 376–395. [Google Scholar] [CrossRef]
- Miller, D.; Cavuoto, K.M.; Alfonso, E.C. Bacterial Keratitis. In Infections of the Cornea and Conjunctiva; Das, S., Jhanji, V., Eds.; Springer: Singapore, 2021; pp. 85–104. [Google Scholar] [CrossRef]
- Chuang, Y.-Y.; Huang, Y.-C. Molecular epidemiology of community-associated meticillin-resistant Staphylococcus aureus in Asia. Lancet Infect. Dis. 2013, 13, 698–708. [Google Scholar] [CrossRef]
- Wong, J.W.; Ip, M.; Tang, A.; Wei, V.W.; Wong, S.Y.; Riley, S.; Read, J.M.; Kwok, K.O. Prevalence and risk factors of community-associated methicillin-resistant Staphylococcus aureus carriage in Asia-Pacific region from 2000 to 2016: A systematic review and meta-analysis. Clin. Epidemiol. 2018, 10, 1489–1501. [Google Scholar] [CrossRef]
- Hatami, H.; Ghaffari Jolfayi, A.; Ebrahimi, A.; Golmohammadi, S.; Zangiabadian, M.; Nasiri, M.J. Contact Lens Associated Bacterial Keratitis: Common Organisms, Antibiotic Therapy, and Global Resistance Trends: A Systematic Review. Front. Ophthalmol. 2021, 1, 759271. [Google Scholar] [CrossRef]
- Major, J.C.; Engelbert, M.; Flynn, H.W.; Miller, D.; Smiddy, W.E.; Davis, J.L. Staphylococcus aureus Endophthalmitis: Antibiotic Susceptibilities, Methicillin Resistance, and Clinical Outcomes. Am. J. Ophthalmol. 2010, 149, 278–283.e1. [Google Scholar] [CrossRef] [PubMed]
- Keynan, Y.; Finkelman, Y.; Lagacé-Wiens, P. The microbiology of endophthalmitis: Global trends and a local perspective. Eur. J. Clin. Microbiol. Infect. Dis. 2012, 31, 2879–2886. [Google Scholar] [CrossRef] [PubMed]
- Aftab, O.M.; Dupaguntla, A.; Khan, H.; Uppuluri, A.; Zarbin, M.A.; Bhagat, N. Regional Variation of Infectious Agents Causing Endogenous Endophthalmitis in the United States: A National Database Analysis. Ophthalmol. Retin. 2024, 8, 905–913. [Google Scholar] [CrossRef] [PubMed]
- Shivaji, S. Examining correlation between ocular microbiome and ocular diseases including keratitis. Expert Rev. Ophthalmol. 2024, 19, 443–458. [Google Scholar] [CrossRef]
- Chatterjee, S.; Agrawal, D.; Gomase, S.N.; Parchand, S.M.; Gangwe, A.B.; Mishra, M. Fluoroquinolone resistance in bacterial isolates from ocular infections: Trend in antibiotic susceptibility patterns between 2005–2020. Indian J. Ophthalmol. 2022, 70, 4391–4398. [Google Scholar] [CrossRef]
- Zheng, X.-Y.; Choy, B.N.K.; Zhou, M.-M.; Zhao, Z.-Y. Antibiotic Resistance Pattern of Staphylococcus aureus Isolated from Pediatrics with Ocular Infections: A 6-Year Hospital-Based Study in China. Front. Pediatr. 2021, 9, 728634. [Google Scholar] [CrossRef]
- Woldemariam, M.; Aklilu, A.; Manilal, A.; Mengistu, M.; Tadesse, D.; Siraj, M.; Hatamleh, A.A.; Alnafisi, B.K.; Idhayadhulla, A. Microbial profile and associated factors of external ocular bacterial and fungal infections in Arba Minch General Hospital: A cross-sectional study. Sci. Rep. 2024, 14, 28744. [Google Scholar] [CrossRef]
- Seale, A.C.; Gordon, N.C.; Islam, J.; Peacock, S.J.; Scott, J.A.G. AMR Surveillance in low and middle-income settings—A roadmap for participation in the Global Antimicrobial Surveillance System (GLASS). Wellcome Open Res. 2017, 2, 92. [Google Scholar] [CrossRef] [PubMed]
- Frost, I.; Kapoor, G.; Craig, J.; Liu, D.; Laxminarayan, R. Status, challenges and gaps in antimicrobial resistance surveillance around the world. J. Glob. Antimicrob. Resist. 2021, 25, 222–226. [Google Scholar] [CrossRef]
- Ajulo, S.; Awosile, B. Global antimicrobial resistance and use surveillance system (GLASS 2022): Investigating the relationship between antimicrobial resistance and antimicrobial consumption data across the participating countries. PLoS ONE 2024, 19, e0297921. [Google Scholar] [CrossRef]
- Asbell, P.A.; Sanfilippo, C.M.; DeCory, H.H. Antibiotic resistance of bacterial pathogens isolated from the conjunctiva in the Antibiotic Resistance Monitoring in Ocular micRoorganisms (ARMOR) surveillance study (2009–2021). Diagn. Microbiol. Infect. Dis. 2024, 108, 116069. [Google Scholar] [CrossRef]
- Thomas, R.K.; Melton, R.; Asbell, P.A. Antibiotic resistance among ocular pathogens: Current trends from the ARMOR surveillance study (2009–2016). Clin. Optom. 2019, 11, 15–26. [Google Scholar] [CrossRef]
- Asbell, P.A.; Colby, K.A.; Deng, S.; McDonnell, P.; Meisler, D.M.; Raizman, M.B.; Sheppard, J.D.; Sahm, D.F. Ocular TRUST: Nationwide Antimicrobial Susceptibility Patterns in Ocular Isolates. Am. J. Ophthalmol. 2008, 145, 951–958.e1. [Google Scholar] [CrossRef] [PubMed]
- Pfaller, M.A.; Mendes, R.E.; Sader, H.S.; Castanheira, M.; Carvalhaes, C.G. Oritavancin in vitro activity against Gram-positive organisms from European medical centers: A 10-year longitudinal overview from the SENTRY Antimicrobial Surveillance Program (2010–2019). J. Chemother. 2023, 35, 689–699. [Google Scholar] [CrossRef]
- McDonnell, L.; Armstrong, D.; Ashworth, M.; Dregan, A.; Malik, U.; White, P. National disparities in the relationship between antimicrobial resistance and antimicrobial consumption in Europe: An observational study in 29 countries. J. Antimicrob. Chemother. 2017, 72, 3199–3204. [Google Scholar] [CrossRef]
- Gagliotti, C.; Balode, A.; Baquero, F.; Degener, J.; Grundmann, H.; Gur, D.; Jarlier, V.; Kahlmeter, G.; Monen, J.; Monnet, D.L.; et al. Escherichia coli and Staphylococcus aureus: Bad news and good news from the European Antimicrobial Resistance Surveillance Network (EARS-Net, formerly EARSS), 2002 to 2009. Eurosurveillance 2011, 16, 20–24. [Google Scholar] [CrossRef]
- Simonsen, G.S. Antimicrobial resistance surveillance in Europe and beyond. Eurosurveillance 2018, 23, 1800560. [Google Scholar] [CrossRef] [PubMed]
- Zhou, M.; Wang, Y.; Liu, C.; Kudinha, T.; Liu, X.; Luo, Y.; Yang, Q.; Sun, H.; Hu, J.; Xu, Y.-C. Comparison of five commonly used automated susceptibility testing methods for accuracy in the China Antimicrobial Resistance Surveillance System (CARSS) hospitals. Infect. Drug Resist. 2018, 11, 1347–1358. [Google Scholar] [CrossRef] [PubMed]
- Qin, X.; Ding, L.; Hao, M.; Li, P.; Hu, F.; Wang, M. Antimicrobial resistance of clinical bacterial isolates in China: Current status and trends. JAC-Antimicrob. Resist. 2024, 6, dlae052. [Google Scholar] [CrossRef]
- Coombs, G.W.; Daley, D.A.; Yee, N.W.T.; Shoby, P.; Mowlaboccus, S. Australian Group on Antimicrobial Resistance (AGAR) Australian Staphylococcus aureus Sepsis Outcome Programme (ASSOP) Annual Report 2020. Commun. Dis. Intell. (2018) 2022, 46, 1–17. [Google Scholar] [CrossRef]
- Nimmo, G.R.; Bell, J.M.; Collignon, P.J. Fifteen years of surveillance by the Australian Group for Antimicrobial Resistance (AGAR). Commun. Dis. Intell. Q. Rep. 2003, 27, S47–S54. [Google Scholar] [CrossRef]
- Gandra, S.; Mojica, N.; Klein, E.Y.; Ashok, A.; Nerurkar, V.; Kumari, M.; Ramesh, U.; Dey, S.; Vadwai, V.; Das, B.R.; et al. Trends in antibiotic resistance among major bacterial pathogens isolated from blood cultures tested at a large private laboratory network in India, 2008–2014. Int. J. Infect. Dis. 2016, 50, 75–82. [Google Scholar] [CrossRef] [PubMed]
- Singh, V.P.; Jha, D.; Rehman, B.U.; Dhayal, V.S.; Dhar, M.S.; Sharma, N. A mini-review on the burden of antimicrobial resistance and its regulation across one health sectors in India. J. Agric. Food Res. 2024, 15, 100973. [Google Scholar] [CrossRef]
- Yam, E.L.Y.; Hsu, L.Y.; Yap, E.P.-H.; Yeo, T.W.; Lee, V.; Schlundt, J.; Lwin, M.O.; Limmathurotsakul, D.; Jit, M.; Dedon, P.; et al. Antimicrobial Resistance in the Asia Pacific region: A meeting report. Antimicrob. Resist. Infect. Control 2019, 8, 202. [Google Scholar] [CrossRef]
- Suwantarat, N.; Carroll, K.C. Epidemiology and molecular characterization of multidrug-resistant Gram-negative bacteria in Southeast Asia. Antimicrob. Resist. Infect. Control 2016, 5, 15. [Google Scholar] [CrossRef]
- Okolie, O.J.; Igwe, U.; Ismail, S.U.; Ighodalo, U.L.; Adukwu, E.C. Systematic review of surveillance systems for AMR in Africa. J. Antimicrob. Chemother. 2022, 78, 31–51. [Google Scholar] [CrossRef]
- Essack, P.S.; Essack, S.Y. AMR Surveillance in Africa: Are We There Yet? Int. J. Infect. Dis. 2025, 152, 107828. [Google Scholar] [CrossRef]
- Ehsan, H. Antibiotic Resistance in Developing Countries: Emerging Threats and Policy Responses. Public Health Chall. 2025, 4, e70034. [Google Scholar] [CrossRef]
- Mun, S.J.; Kim, S.-H.; Kim, H.-T.; Moon, C.; Wi, Y.M. The epidemiology of bloodstream infection contributing to mortality: The difference between community-acquired, healthcare-associated, and hospital-acquired infections. BMC Infect. Dis. 2022, 22, 336. [Google Scholar] [CrossRef] [PubMed]
- Stapleton, F. Contact lens-related corneal infection in Australia. Clin. Exp. Optom. 2020, 103, 408–417. [Google Scholar] [CrossRef]
- Ayehubizu, Z.; Mulu, W.; Biadglegne, F. Common bacterial causes of external ocular infections, associated risk factors and antibiotic resistance among patients at ophthalmology unit of Felege Hiwot Referral Hospital, Northwest Ethiopia: A cross-sectional study. J. Ophthalmic Inflamm. Infect. 2021, 11, 7. [Google Scholar] [CrossRef] [PubMed]
- Montan, P.G.; Koranyi, G.; Setterquist, H.E.; Stridh, A.; Philipson, B.T.; Wiklund, K. Endophthalmitis after cataract surgery: Risk factors relating to technique and events of the operation and patient history: A retrospective case-control study11None of the authors has any propriety interest in the medical devices discussed in the article. Ophthalmology 1998, 105, 2171–2177. [Google Scholar] [CrossRef]
- Saritas, T.B.; Bozkurt, B.; Simsek, B.; Cakmak, Z.; Ozdemir, M.; Yosunkaya, A. Ocular Surface Disorders in Intensive Care Unit Patients. Sci. World J. 2013, 2013, 182038. [Google Scholar] [CrossRef]
- Thomas, R.K.; Melton, R.; Vollmer, P.M.; Asbell, P.A. In Vitro Antibiotic Resistance among Bacteria from the Cornea in the Antibiotic Resistance Monitoring in Ocular MicRoorganisms Surveillance Study. Optom. Vis. Sci. 2021, 98, 1113–1121. [Google Scholar] [CrossRef]
- Okeke, I.N.; de Kraker, M.E.A.; Van Boeckel, T.P.; Kumar, C.K.; Schmitt, H.; Gales, A.C.; Bertagnolio, S.; Sharland, M.; Laxminarayan, R. The scope of the antimicrobial resistance challenge. Lancet 2024, 403, 2426–2438. [Google Scholar] [CrossRef]
- Biswas, P.; Batra, S.; Gurha, N.; Maksane, N. Emerging antimicrobial resistance and need for antimicrobial stewardship for ocular infections in India: A narrative review. Indian J. Ophthalmol. 2022, 70, 1513–1521. [Google Scholar] [CrossRef]
- Tummanapalli, S.S.; Willcox, M.D. Antimicrobial resistance of ocular microbes and the role of antimicrobial peptides. Clin. Exp. Optom. 2021, 104, 295–307. [Google Scholar] [CrossRef]
- Bendary, M.M.; Abd El-Hamid, M.I.; El-Tarabili, R.M.; Hefny, A.A.; Algendy, R.M.; Elzohairy, N.A.; Ghoneim, M.M.; Al-Sanea, M.M.; Nahari, M.H.; Moustafa, W.H. Clostridium perfringens Associated with Foodborne Infections of Animal Origins: Insights into Prevalence, Antimicrobial Resistance, Toxin Genes Profiles, and Toxinotypes. Biology 2022, 11, 551. [Google Scholar] [CrossRef]
- Yu, J.; Lu, H.; Zhu, L. Mutation-driven resistance development in wastewater E. coli upon low-level cephalosporins: Pharmacophore contribution and novel mechanism. Water Res. 2024, 252, 121235. [Google Scholar] [CrossRef]
- Afzal, M.; Vijay, A.K.; Stapleton, F.; Willcox, M. The Relationship between Ciprofloxacin Resistance and Genotypic Changes in S. aureus Ocular Isolates. Pathogens 2022, 11, 1354. [Google Scholar] [CrossRef]
- Shaheen, A.; Tariq, A.; Iqbal, M.; Mirza, O.; Haque, A.; Walz, T.; Rahman, M. Mutational Diversity in the Quinolone Resistance-Determining Regions of Type-II Topoisomerases of Salmonella Serovars. Antibiotics 2021, 10, 1455. [Google Scholar] [CrossRef] [PubMed]
- Manik, M.R.K.; Mishu, I.D.; Mahmud, Z.; Muskan, M.N.; Emon, S.Z. Association of fluoroquinolone resistance with rare quinolone resistance-determining region (QRDR) mutations and protein-quinolone binding affinity (PQBA) in multidrug-resistant Escherichia coli isolated from patients with urinary tract infection. J. Infect. Public Health 2025, 18, 102766. [Google Scholar] [CrossRef] [PubMed]
- Zahari, N.I.N.; Engku Abd Rahman, E.N.S.; Irekeola, A.A.; Ahmed, N.; Rabaan, A.A.; Alotaibi, J.; Alqahtani, S.A.; Halawi, M.Y.; Alamri, I.A.; Almogbel, M.S.; et al. A Review of the Resistance Mechanisms for β-Lactams, Macrolides and Fluoroquinolones among Streptococcus pneumoniae. Medicina 2023, 59, 1927. [Google Scholar] [CrossRef]
- Michaelis, C.; Grohmann, E. Horizontal Gene Transfer of Antibiotic Resistance Genes in Biofilms. Antibiotics 2023, 12, 328. [Google Scholar] [CrossRef]
- Thacharodi, A.; Lamont, I.L. Aminoglycoside-Modifying Enzymes Are Sufficient to Make Pseudomonas aeruginosa Clinically Resistant to Key Antibiotics. Antibiotics 2022, 11, 884. [Google Scholar] [CrossRef] [PubMed]
- Chaconas, G.; Kobryn, K. Structure, function, and evolution of linear replicons in Borrelia. Annu. Rev. Microbiol. 2010, 64, 185–202. [Google Scholar] [CrossRef]
- Hipólito, A.; García-Pastor, L.; Vergara, E.; Jové, T.; Escudero, J.A. Profile and resistance levels of 136 integron resistance genes. npj Antimicrob. Resist. 2023, 1, 13. [Google Scholar] [CrossRef]
- Kathirvel, K.; Rudhra, O.; Rajapandian, S.G.K.; Prajna, N.V.; Lalitha, P.; Devarajan, B. Characterization of antibiotic resistance and virulence genes of ocular methicillin-resistant Staphylococcus aureus strains through complete genome analysis. Exp. Eye Res. 2021, 212, 108764. [Google Scholar] [CrossRef]
- Varela, M.F.; Stephen, J.; Lekshmi, M.; Ojha, M.; Wenzel, N.; Sanford, L.M.; Hernandez, A.J.; Parvathi, A.; Kumar, S.H. Bacterial Resistance to Antimicrobial Agents. Antibiotics 2021, 10, 593. [Google Scholar] [CrossRef]
- Darby, E.M.; Trampari, E.; Siasat, P.; Gaya, M.S.; Alav, I.; Webber, M.A.; Blair, J.M.A. Molecular mechanisms of antibiotic resistance revisited. Nat. Rev. Microbiol. 2023, 21, 280–295. [Google Scholar] [CrossRef] [PubMed]
- Zhang, F.; Cheng, W. The Mechanism of Bacterial Resistance and Potential Bacteriostatic Strategies. Antibiotics 2022, 11, 1215. [Google Scholar] [CrossRef]
- Escamilla, P.; Bartella, L.; Sanz-Navarro, S.; Percoco, R.M.; Di Donna, L.; Prejanò, M.; Marino, T.; Ferrando-Soria, J.; Armentano, D.; Leyva-Pérez, A.; et al. Degradation of Penicillinic Antibiotics and β-Lactamase Enzymatic Catalysis in a Biomimetic Zn-Based Metal–Organic Framework. Chem.-A Eur. J. 2023, 29, e202301325. [Google Scholar] [CrossRef]
- Husna, A.; Rahman, M.M.; Badruzzaman, A.T.M.; Sikder, M.H.; Islam, M.R.; Rahman, M.T.; Alam, J.; Ashour, H.M. Extended-Spectrum β-Lactamases (ESBL): Challenges and Opportunities. Biomedicines 2023, 11, 2937. [Google Scholar] [CrossRef]
- Tenover, F.C.; Nicolau, D.P.; Gill, C.M. Carbapenemase-producing Pseudomonas aeruginosa–an emerging challenge. Emerg. Microbes Infect. 2022, 11, 811–814. [Google Scholar] [CrossRef] [PubMed]
- Ando, K.; Miyahara, S.; Hanada, S.; Fukuda, K.; Saito, M.; Sakai, A.; Maruo, A.; Zenke, Y. Effective biofilm eradication in MRSA isolates with aminoglycoside-modifying enzyme genes using high-concentration and prolonged gentamicin treatment. Microbiol. Spectr. 2024, 12, e00647. [Google Scholar] [CrossRef]
- Rosas, N.C.; Lithgow, T. Targeting bacterial outer-membrane remodelling to impact antimicrobial drug resistance. Trends Microbiol. 2022, 30, 544–552. [Google Scholar] [CrossRef]
- Jeremia, L.; Deprez, B.E.; Dey, D.; Conn, G.L.; Wuest, W.M. Ribosome-targeting antibiotics and resistance via ribosomal RNA methylation. RSC Med. Chem. 2023, 14, 624–643. [Google Scholar] [CrossRef] [PubMed]
- Huang, L.; Wu, C.; Gao, H.; Xu, C.; Dai, M.; Huang, L.; Hao, H.; Wang, X.; Cheng, G. Bacterial Multidrug Efflux Pumps at the Frontline of Antimicrobial Resistance: An Overview. Antibiotics 2022, 11, 520. [Google Scholar] [CrossRef]
- Lorusso, A.B.; Carrara, J.A.; Barroso, C.D.N.; Tuon, F.F.; Faoro, H. Role of Efflux Pumps on Antimicrobial Resistance in Pseudomonas aeruginosa. Int. J. Mol. Sci. 2022, 23, 15779. [Google Scholar] [CrossRef]
- Dashtbani-Roozbehani, A.; Brown, M.H. Efflux Pump Mediated Antimicrobial Resistance by Staphylococci in Health-Related Environments: Challenges and the Quest for Inhibition. Antibiotics 2021, 10, 1502. [Google Scholar] [CrossRef]
- Zhou, G.; Wang, Q.; Wang, Y.; Wen, X.; Peng, H.; Peng, R.; Shi, Q.; Xie, X.; Li, L. Outer Membrane Porins Contribute to Antimicrobial Resistance in Gram-Negative Bacteria. Microorganisms 2023, 11, 1690. [Google Scholar] [CrossRef]
- Ude, J.; Tripathi, V.; Buyck, J.M.; Söderholm, S.; Cunrath, O.; Fanous, J.; Claudi, B.; Egli, A.; Schleberger, C.; Hiller, S.; et al. Outer membrane permeability: Antimicrobials and diverse nutrients bypass porins in Pseudomonas aeruginosa. Proc. Natl. Acad. Sci. USA 2021, 118, e2107644118. [Google Scholar] [CrossRef]
- Dutt, Y.; Dhiman, R.; Singh, T.; Vibhuti, A.; Gupta, A.; Pandey, R.P.; Raj, V.S.; Chang, C.-M.; Priyadarshini, A. The Association between Biofilm Formation and Antimicrobial Resistance with Possible Ingenious Bio-Remedial Approaches. Antibiotics 2022, 11, 930. [Google Scholar] [CrossRef] [PubMed]
- Voinescu, A.; Licker, M.; Muntean, D.; Musuroi, C.; Musuroi, S.I.; Izmendi, O.; Vulpie, S.; Jumanca, R.; Munteanu, M.; Cosnita, A. A Comprehensive Review of Microbial Biofilms on Contact Lenses: Challenges and Solutions. Infect. Drug Resist. 2024, 17, 2659–2671. [Google Scholar] [CrossRef] [PubMed]
- Lodha, D.; Karolia, R.; Sharma, S.; Joseph, J.; Das, T.; Dave, V.P. Biofilm formation and its effect on the management of culture-positive bacterial endophthalmitis. Indian J. Ophthalmol. 2022, 70, 472–476. [Google Scholar] [CrossRef] [PubMed]
- Sharma, S. Ocular infections: Research in India. Indian J. Med. Microbiol. 2010, 28, 91–94. [Google Scholar] [CrossRef]
- Chen, P.-J.; Hua, Y.-M.; Toh, H.S.; Lee, M.-C. Topical antibiotic prophylaxis for surgical wound infections in clean and clean-contaminated surgery: A systematic review and meta-analysis. BJS Open 2021, 5, zrab125. [Google Scholar] [CrossRef]
- Honkila, M.; Koskela, U.; Kontiokari, T.; Mattila, M.-L.; Kristo, A.; Valtonen, R.; Sarlin, S.; Paalanne, N.; Ikäheimo, I.; Pokka, T.; et al. Effect of Topical Antibiotics on Duration of Acute Infective Conjunctivitis in Children: A Randomized Clinical Trial and a Systematic Review and Meta-analysis. JAMA Netw. Open 2022, 5, e2234459. [Google Scholar] [CrossRef] [PubMed]
- De Loof, H.; De Win, E.; Moens, N.; Verhoeven, V.; Van Royen, P.; Kreps, E.O.; Philips, H. Overprescribing of Topical Ocular Corticosteroids and Antibiotics in Out-of-Hours Primary Care in Belgium. Drug Healthc. Patient Saf. 2021, 13, 229–232. [Google Scholar] [CrossRef]
- Shunmugam, M.; Giovannetti, F.; Yeung, S.N.; Iovieno, A. An Update on Viral Conjunctivitis Treatment Strategies: A Narrative Literature Review. Microorganisms 2025, 13, 1712. [Google Scholar] [CrossRef]
- Bale, B.I.; Elebesunu, E.E.; Manikavasagar, P.; Agwuna, F.O.; Ogunkola, I.O.; Sow, A.U.; Lucero-Prisno, D.E. Antibiotic resistance in ocular bacterial infections: An integrative review of ophthalmic chloramphenicol. Trop. Med. Health 2023, 51, 15. [Google Scholar] [CrossRef] [PubMed]
- van Rooij, J.; Nolte, K.; van de Vondervoort, F.; Lekkerkerk, S.; Bourgonje, V.; Wubbels, R. Prophylactic Intracameral Antibiotics and Endophthalmitis After Cataract Surgery. JAMA Ophthalmol. 2024, 142, 699–706. [Google Scholar] [CrossRef]
- Chawla, K.; Tailor, P.D.; Sridhar, J. Evaluating the necessity of topical and subconjunctival antibiotic prophylaxis in ocular surgery. Curr. Opin. Ophthalmol. 2025, 36, 389–400. [Google Scholar] [CrossRef] [PubMed]
- McDonald, M.; Blondeau, J.M. Emerging antibiotic resistance in ocular infections and the role of fluoroquinolones. J. Cataract Refract. Surg. 2010, 36, 1588–1598. [Google Scholar] [CrossRef]
- Dutta, D.; Stapleton, F.; Willcox, M. Ocular Surface Infection and Antimicrobials. Antibiotics 2022, 11, 1496. [Google Scholar] [CrossRef]
- Drago, L. Topical Antibiotic Therapy in the Ocular Environment: The Benefits of Using Moxifloxacin Eyedrops. Microorganisms 2024, 12, 649. [Google Scholar] [CrossRef]
- Yang, C.D.; Jessen, J.; Lin, K.Y. Ultrasound-assisted ocular drug delivery: A review of current evidence. J. Clin. Ultrasound 2022, 50, 685–693. [Google Scholar] [CrossRef]
- Bradley, J.S.; Jackson, M.A.; Committee on Infectious Diseases; American Academy of Pediatrics. The Use of Systemic and Topical Fluoroquinolones. Pediatrics 2011, 128, e1034–e1045. [Google Scholar] [CrossRef]
- Locarnini, S. Primary resistance, multidrug resistance, and cross-resistance pathways in HBV as a consequence of treatment failure. Hepatol. Int. 2008, 2, 147–151. [Google Scholar] [CrossRef]
- Majumder, M.A.A.; Rahman, S.; Cohall, D.; Bharatha, A.; Singh, K.; Haque, M.; Gittens-St Hilaire, M. Antimicrobial Stewardship: Fighting Antimicrobial Resistance and Protecting Global Public Health. Infect. Drug Resist. 2020, 13, 4713–4738. [Google Scholar] [CrossRef] [PubMed]
- Fahy, S.; O’Connor, J.A.; Lucey, B.; Sleator, R.D. Hospital Reservoirs of Multidrug Resistant Acinetobacter Species—The Elephant in the Room! Br. J. Biomed. Sci. 2023, 80, 11098. [Google Scholar] [CrossRef] [PubMed]
- Campolo, A.; Pifer, R.; Shannon, P.; Crary, M. Microbial Adherence to Contact Lenses and Pseudomonas aeruginosa as a Model Organism for Microbial Keratitis. Pathogens 2022, 11, 1383. [Google Scholar] [CrossRef] [PubMed]
- Sefah, I.A.; Quagraine, A.M.; Kurdi, A.; Mudenda, S.; Godman, B. Audit of antibiotic utilization patterns and practice for common eye infections at the ambulatory clinic of a teaching hospital in Ghana: Findings and implications. PLoS ONE 2024, 19, e0313019. [Google Scholar] [CrossRef]
- Rossolini, G.M.; Mantengoli, E. Antimicrobial resistance in Europe and its potential impact on empirical therapy. Clin. Microbiol. Infect. 2008, 14, 2–8. [Google Scholar] [CrossRef]
- Miller, D. Update on the epidemiology and antibiotic resistance of ocular infections. Middle East Afr. J. Ophthalmol. 2017, 24, 30–42. [Google Scholar] [CrossRef]
- Chiang, M.-C.; Chern, E. More than Antibiotics: Latest Therapeutics in the Treatment and Prevention of Ocular Surface Infections. J. Clin. Med. 2022, 11, 4195. [Google Scholar] [CrossRef]
- Campey, A.N. Understanding the Impact of Environmental Structure and Sub-Inhibitory Antibiotic Concentrations on the Emergence of Resistance. Ph.D. Thesis, University of Exeter, Exeter, UK, 2024. [Google Scholar]
- Harford, D.A.; Greenan, E.; Knowles, S.J.; Fitzgerald, S.; Murphy, C.C. The burden of methicillin-resistant Staphylococcus aureus in the delivery of eye care. Eye 2022, 36, 1368–1372. [Google Scholar] [CrossRef]
- Hassoun, A.; Linden, P.K.; Friedman, B. Incidence, prevalence, and management of MRSA bacteremia across patient populations—A review of recent developments in MRSA management and treatment. Crit. Care 2017, 21, 211. [Google Scholar] [CrossRef]
- Khan, M.; Willcox, M.D.P.; Rice, S.A.; Sharma, S.; Stapleton, F. Development of antibiotic resistance in the ocular Pseudomonas aeruginosa clone ST308 over twenty years. Exp. Eye Res. 2021, 205, 108504. [Google Scholar] [CrossRef]
- Khor, W.-B.; Lakshminarayanan, R.; Periayah, M.H.; Prajna, V.N.; Garg, P.; Sharma, N.; Mehta, J.S.; Young, A.; Goseyarakwong, P.; Puangsricharern, V.; et al. The antibiotic resistance profiles of Pseudomonas aeruginosa in the Asia Cornea Society Infectious Keratitis Study. Int. Ophthalmol. 2024, 44, 361. [Google Scholar] [CrossRef]
- Sharew, B.; Moges, F.; Yismaw, G.; Abebe, W.; Fentaw, S.; Vestrheim, D.; Tessema, B. Antimicrobial resistance profile and multidrug resistance patterns of Streptococcus pneumoniae isolates from patients suspected of pneumococcal infections in Ethiopia. Ann. Clin. Microbiol. Antimicrob. 2021, 20, 26. [Google Scholar] [CrossRef]
- Li, J.; Liu, L.; Zhang, H.; Guo, J.; Wei, X.; Xue, M.; Ma, X. Severe problem of macrolides resistance to common pathogens in China. Front. Cell. Infect. Microbiol. 2023, 13, 1181633. [Google Scholar] [CrossRef]
- Gajic, I.; Tomic, N.; Lukovic, B.; Jovicevic, M.; Kekic, D.; Petrovic, M.; Jankovic, M.; Trudic, A.; Mitic Culafic, D.; Milenkovic, M.; et al. A Comprehensive Overview of Antibacterial Agents for Combating Multidrug-Resistant Bacteria: The Current Landscape, Development, Future Opportunities, and Challenges. Antibiotics 2025, 14, 221. [Google Scholar] [CrossRef] [PubMed]
- Bălășoiu, A.T.; Bălășoiu, M.; Zlatian, O.M.; Ghenea, A.E. Bacterial and Fungal Keratitis in a Tertiary Care Hospital from Romania. Microorganisms 2024, 12, 787. [Google Scholar] [CrossRef]
- Sharma, S.P.; Dwivedi, S.; Kumar, S.; Dhama, K.; Sharma, A.K. Bacterial and Fungal Keratitis: Current Trends in Its Diagnosis and Management. Curr. Clin. Microbiol. Rep. 2023, 10, 266–278. [Google Scholar] [CrossRef]
- Bavaro, D.F.; Belati, A.; Bussini, L.; Cento, V.; Diella, L.; Gatti, M.; Saracino, A.; Pea, F.; Viale, P.; Bartoletti, M. Safety and effectiveness of fifth generation cephalosporins for the treatment of methicillin-resistant Staphylococcus aureus bloodstream infections: A narrative review exploring past, present, and future. Expert Opin. Drug Saf. 2024, 23, 9–36. [Google Scholar] [CrossRef]
- Pathengay, A.; Moreker, M.R.; Puthussery, R.; Ambatipudi, S.; Jalali, S.; Majji, A.B.; Mathai, A.; Husssain, N.; Dave, V.; Sharma, S.; et al. Clinical and microbiologic review of culture-proven endophthalmitis caused by multidrug-resistant bacteria in patients seen at a tertiary eye care center in southern india. Retina 2011, 31, 1806–1811. [Google Scholar] [CrossRef] [PubMed]
- Naik, P.; Singh, S.; Rudraprasad, D.; Dave, V.P.; Kumar, A.; Joseph, J. Multidrug-Resistant Pseudomonas aeruginosa Triggers Differential Inflammatory Response in Patients with Endophthalmitis. Transl. Vis. Sci. Technol. 2021, 10, 26. [Google Scholar] [CrossRef]
- Gurnani, B.; Kaur, K. Advances in Diagnosis and Management of Infectious Keratitis. In Current Advances in Optometry; Shu, D., Singh, R.B., Ichhpujani, P., Eds.; Springer Nature: Singapore, 2024; pp. 19–45. [Google Scholar] [CrossRef]
- Gatasheh, M.K.; Murugan, N.; Krishnamoorthy, R.; Alshuniaber, M.A.; Malathi, J.; Umashankar, V.; Ramalingam, G.; Veeraraghavan, V.P.; Jayaraman, S. Identification, prioritization, and evaluation of RlpA protein as a target against multidrug-resistant Pseudomonas aeruginosa. Acta Trop. 2024, 255, 107216. [Google Scholar] [CrossRef]
- Durrani, A.F.; Atta, S.; Bhat, A.K.; Mammen, A.; Dhaliwal, D.; Kowalski, R.P.; Jhanji, V. Methicillin-Resistant Staphylococcus aureus Keratitis: Initial Treatment, Risk Factors, Clinical Features, and Treatment Outcomes. Am. J. Ophthalmol. 2020, 214, 119–126. [Google Scholar] [CrossRef]
- Fernandes, M.; Vira, D.; Medikonda, R.; Kumar, N. Extensively and pan-drug resistant Pseudomonas aeruginosa keratitis: Clinical features, risk factors, and outcome. Graefe’s Arch. Clin. Exp. Ophthalmol. 2016, 254, 315–322. [Google Scholar] [CrossRef]
- Chang, V.S.; Dhaliwal, D.K.; Raju, L.; Kowalski, R.P. Antibiotic Resistance in the Treatment of Staphylococcus aureus Keratitis: A 20-Year Review. Cornea 2015, 34, 698–703. [Google Scholar] [CrossRef]
- Bispo, P.J.M.; Ung, L.; Chodosh, J.; Gilmore, M.S. The Challenge of Antibiotic Resistance in Corneal Infection. In Foundations of Corneal Disease: Past, Present and Future; Colby, K., Dana, R., Eds.; Springer International Publishing: Cham, Switzerland, 2020; pp. 277–288. [Google Scholar] [CrossRef]
- Hazlett, L.; Suvas, S.; McClellan, S.; Ekanayaka, S. Challenges of corneal infections. Expert Rev. Ophthalmol. 2016, 11, 285–297. [Google Scholar] [CrossRef] [PubMed]
- Kernt, M.; Kampik, A. Endophthalmitis: Pathogenesis, clinical presentation, management, and perspectives. Clin. Ophthalmol. 2010, 4, 121–135. [Google Scholar] [CrossRef] [PubMed]
- Shivaji, S. Methods to Detect Antimicrobial Resistance in Human Ocular Samples. In Antimicrobial Resistance of the Human Eye; CRC Press: Boca Raton, FL, USA, 2024; pp. 63–108. [Google Scholar]
- Van Gelder, R.N. Molecular Diagnostics for Ocular Infectious Diseases: LXXVIII Edward Jackson Memorial Lecture. Am. J. Ophthalmol. 2022, 235, 300–312. [Google Scholar] [CrossRef] [PubMed]
- Sugita, S.; Ogawa, M.; Shimizu, N.; Morio, T.; Ohguro, N.; Nakai, K.; Maruyama, K.; Nagata, K.; Takeda, A.; Usui, Y.; et al. Use of a Comprehensive Polymerase Chain Reaction System for Diagnosis of Ocular Infectious Diseases. Ophthalmology 2013, 120, 1761–1768. [Google Scholar] [CrossRef]
- Garrido, P.; Gabaldó-Barrios, X.; Pujol-Bajador, I.; Fernández, L.; Ballester, F.; Garrido, R.; Cueto, P.; Camps, J.; Vallverdú, I. Assessing the Utility of Multiplexed Polymerase Chain Reaction in Detecting Microorganisms Causing Infections in Critically ill Patients. Curr. Microbiol. 2023, 80, 348. [Google Scholar] [CrossRef]
- Gu, W.; Miller, S.; Chiu, C.Y. Clinical Metagenomic Next-Generation Sequencing for Pathogen Detection. Annu. Rev. Pathol. Mech. Dis. 2019, 14, 319–338. [Google Scholar] [CrossRef] [PubMed]
- Zhu, J.; Xia, H.; Tang, R.; Ng, T.K.; Yao, F.; Liao, X.; Zhang, Q.; Ke, X.; Shi, T.; Chen, H. Metagenomic next-generation sequencing detects pathogens in endophthalmitis patients. Retina 2022, 42, 992–1000. [Google Scholar] [CrossRef]
- Lu, H.; Ma, L.; Zhang, H.; Feng, L.; Yu, Y.; Zhao, Y.; Li, L.; Zhou, Y.; Song, L.; Li, W.; et al. The Comparison of Metagenomic Next-Generation Sequencing with Conventional Microbiological Tests for Identification of Pathogens and Antibiotic Resistance Genes in Infectious Diseases. Infect. Drug Resist. 2022, 15, 6115–6128. [Google Scholar] [CrossRef]
- Bispo, P.J.; Belanger, N.; Li, A.; Liu, R.; Susarla, G.; Chan, W.; Chodosh, J.; Gilmore, M.S.; Sobrin, L. An all-in-one highly multiplexed diagnostic assay for rapid, sensitive, and comprehensive detection of intraocular pathogens. Am. J. Ophthalmol. 2023, 250, 82–94. [Google Scholar] [CrossRef]
- Bispo, P.J.; Ung, L.; Chodosh, J.; Sobrin, L.; Gilmore, M.S. Highly Multiplexed Broad Pathogen Detection Assay for Diagnosis of Ocular Infections. Investig. Ophthalmol. Vis. Sci. 2021, 62, 3460. [Google Scholar]
- Ludi, Z.; Sule, A.A.; Samy, R.P.; Putera, I.; Schrijver, B.; Hutchinson, P.E.; Gunaratne, J.; Verma, I.; Singhal, A.; Nora, R.L.D. Diagnosis and biomarkers for ocular tuberculosis: From the present into the future. Theranostics 2023, 13, 2088. [Google Scholar] [CrossRef]
- Sharma, K.; Gupta, A.; Sharma, M.; Sharma, A.; Singh, R.; Aggarwal, K.; Bansal, R.; Thakur, A.; Prakash, S.; Gupta, V. MTBDRplus for the rapid diagnosis of ocular tuberculosis and screening of drug resistance. Eye 2018, 32, 451–456. [Google Scholar] [CrossRef]
- Mancini, S.; Seth-Smith, H.M.; Kolesnik-Goldmann, N.; Hinic, V.; Roloff, T.; Imkamp, F.; Egli, A. Evaluation of the RESIST ACINETO multiplex immunochromatographic assay for detection of OXA-23-like, OXA-40/58-like and NDM carbapenemase production in Acinetobacter baumannii. J. Antimicrob. Chemother. 2023, 78, 2771–2774. [Google Scholar] [CrossRef] [PubMed]
- Giovacchini, N.; Antonelli, A.; Taddei, E.; Giani, T.; Rossolini, G.M. Evaluation of RESIST ACINETO immunochromatographic assay from positive blood cultures. J. Antimicrob. Chemother. 2024, 79, 469–471. [Google Scholar] [CrossRef]
- Qin, N.; Zhao, P.; Ho, E.A.; Xin, G.; Ren, C.L. Microfluidic technology for antibacterial resistance study and antibiotic susceptibility testing: Review and perspective. ACS Sens. 2020, 6, 3–21. [Google Scholar] [CrossRef] [PubMed]
- Hao, X.; Wang, M.; Yuan, M.; Zhang, R.; Jin, W.; Yang, A. Identification of pathogens in the intraocular fluid samples of patients with endogenous endophthalmitis using rapid nanopore targeted sequencing. Retina 2023, 43, 606–615. [Google Scholar] [CrossRef]
- Li, X.; Li, Z.; Wang, M.; Fu, A.; Hao, X.; Guo, X.; Gu, J.; Jin, W.; Yang, A. The diagnostic utility of nanopore targeted sequencing in suspected endophthalmitis. Int. Ophthalmol. 2023, 43, 2653–2668. [Google Scholar] [CrossRef]
- Shi, Y.; Zhang, Y.; Hu, Y.; Moreddu, R.; Fan, Z.; Jiang, N.; Yetisen, A.K. Smartphone-based fluorescent sensing platforms for point-of-care ocular lactoferrin detection. Sens. Actuators B Chem. 2023, 378, 133128. [Google Scholar] [CrossRef]
- Heidt, B.; Siqueira, W.F.; Eersels, K.; Diliën, H.; van Grinsven, B.; Fujiwara, R.T.; Cleij, T.J. Point of Care Diagnostics in Resource-Limited Settings: A Review of the Present and Future of PoC in Its Most Needed Environment. Biosensors 2020, 10, 133. [Google Scholar] [CrossRef] [PubMed]
- Nichols, J.H. Utilizing Point-of-Care Testing to Optimize Patient Care. Ejifcc 2021, 32, 140–144. [Google Scholar] [PubMed]
- Gunasekaran, R.; Chandrasekaran, A.; Rajarathinam, K.; Duncan, S.; Dhaliwal, K.; Lalitha, P.; Prajna, N.V.; Mills, B. Rapid Point-of-Care Identification of Aspergillus Species in Microbial Keratitis. JAMA Ophthalmol. 2023, 141, 966–973. [Google Scholar] [CrossRef] [PubMed]
- Dey, M.K.; Iftesum, M.; Devireddy, R.; Gartia, M.R. New technologies and reagents in lateral flow assay (LFA) designs for enhancing accuracy and sensitivity. Anal. Methods 2023, 15, 4351–4376. [Google Scholar] [CrossRef]
- Zhao, Y.; Wei, Y.; Ye, C.; Cao, J.; Zhou, X.; Xie, M.; Qing, J.; Chen, Z. Application of recombinase polymerase amplification with lateral flow assay to pathogen point-of-care diagnosis. Front. Cell. Infect. Microbiol. 2024, 14, 1475922. [Google Scholar] [CrossRef]
- Tan, M.; Liao, C.; Liang, L.; Yi, X.; Zhou, Z.; Wei, G. Recent advances in recombinase polymerase amplification: Principle, advantages, disadvantages and applications. Front. Cell. Infect. Microbiol. 2022, 12, 1019071. [Google Scholar] [CrossRef]
- Asiello, P.J.; Baeumner, A.J. Miniaturized isothermal nucleic acid amplification, a review. Lab A Chip 2011, 11, 1420–1430. [Google Scholar] [CrossRef]
- Han, G.-R.; Goncharov, A.; Eryilmaz, M.; Ye, S.; Palanisamy, B.; Ghosh, R.; Lisi, F.; Rogers, E.; Guzman, D.; Yigci, D.; et al. Machine learning in point-of-care testing: Innovations, challenges, and opportunities. Nat. Commun. 2025, 16, 3165. [Google Scholar] [CrossRef]
- Liu, W.; Yue, F.; Lee, L.P. Integrated point-of-care molecular diagnostic devices for infectious diseases. Acc. Chem. Res. 2021, 54, 4107–4119. [Google Scholar] [CrossRef]
- Shi, Y.; Jiang, N.; Bikkannavar, P.; Cordeiro, M.F.; Yetisen, A.K. Ophthalmic sensing technologies for ocular disease diagnostics. Analyst 2021, 146, 6416–6444. [Google Scholar] [CrossRef] [PubMed]
- Chandra, M.; Singh, J.; Sharma, V.; Ansari, I.A.; Jha, A. Teleoptometry: Innovations and revolutionization of integrating technology for future eye care practice. ejpmr 2024, 11, 586–593. [Google Scholar]
- Chen, S.; Bai, W. Artificial intelligence technology in ophthalmology public health: Current applications and future directions. Front. Cell Dev. Biol. 2025, 13, 1576465. [Google Scholar] [CrossRef]
- Gupta, Y.D.; Bhandary, S. Artificial Intelligence for Understanding Mechanisms of Antimicrobial Resistance and Antimicrobial Discovery. In Artificial Intelligence and Machine Learning in Drug Design and Development; Scrivener: Beverly, MA, USA, 2024; pp. 117–156. [Google Scholar] [CrossRef]
- Kakkar, A.K.; Shafiq, N.; Singh, G.; Ray, P.; Gautam, V.; Agarwal, R.; Muralidharan, J.; Arora, P. Antimicrobial Stewardship Programs in Resource Constrained Environments: Understanding and Addressing the Need of the Systems. Front. Public Health 2020, 8, 140. [Google Scholar] [CrossRef] [PubMed]
- Luu, L.; Muhsin, A. A retrospective study of the overuse of extended-spectrum antibiotics in patients with community-acquired pneumonia with risk for methicillin-resistant Staphylococcus aureus and/or Pseudomonas aeruginosa. Cureus 2022, 14, e31126. [Google Scholar] [CrossRef]
- MacDougall, C.; Polk, R.E. Antimicrobial Stewardship Programs in Health Care Systems. Clin. Microbiol. Rev. 2005, 18, 638–656. [Google Scholar] [CrossRef]
- Fishman, N. Antimicrobial stewardship. Am. J. Infect. Control 2006, 34, S55–S63. [Google Scholar] [CrossRef]
- Leuthner, K.D.; Doern, G.V. Antimicrobial Stewardship Programs. J. Clin. Microbiol. 2013, 51, 3916–3920. [Google Scholar] [CrossRef]
- Lanier, O.L.; Manfre, M.G.; Bailey, C.; Liu, Z.; Sparks, Z.; Kulkarni, S.; Chauhan, A. Review of Approaches for Increasing Ophthalmic Bioavailability for Eye Drop Formulations. AAPS PharmSciTech 2021, 22, 107. [Google Scholar] [CrossRef]
- Akhter, M.H.; Ahmad, I.; Alshahrani, M.Y.; Al-Harbi, A.I.; Khalilullah, H.; Afzal, O.; Altamimi, A.S.A.; Najib Ullah, S.N.M.; Ojha, A.; Karim, S. Drug Delivery Challenges and Current Progress in Nanocarrier-Based Ocular Therapeutic System. Gels 2022, 8, 82. [Google Scholar] [CrossRef]
- Gebreel, R.M.; Edris, N.A.; Elmofty, H.M.; Tadros, M.I.; El-Nabarawi, M.A.; Hassan, D.H. Development and Characterization of PLGA Nanoparticle-Laden Hydrogels for Sustained Ocular Delivery of Norfloxacin in the Treatment of Pseudomonas Keratitis: An Experimental Study. Drug Des. Dev. Ther. 2021, 15, 399–418. [Google Scholar] [CrossRef]
- Pawar, P.; Katara, R.; Mishra, S.; Majumdar, D.K. Topical ocular delivery of fluoroquinolones. Expert Opin. Drug Deliv. 2013, 10, 691–711. [Google Scholar] [CrossRef]
- Budai, L.; Hajdú, M.; Budai, M.; Gróf, P.; Béni, S.; Noszál, B.; Klebovich, I.; Antal, I. Gels and liposomes in optimized ocular drug delivery: Studies on ciprofloxacin formulations. Int. J. Pharm. 2007, 343, 34–40. [Google Scholar] [CrossRef] [PubMed]
- Rafiei, F.; Tabesh, H.; Farzad, F. Sustained subconjunctival drug delivery systems: Current trends and future perspectives. Int. Ophthalmol. 2020, 40, 2385–2401. [Google Scholar] [CrossRef]
- Urwin, L.; Okurowska, K.; Crowther, G.; Roy, S.; Garg, P.; Karunakaran, E.; MacNeil, S.; Partridge, L.J.; Green, L.R.; Monk, P.N. Corneal Infection Models: Tools to Investigate the Role of Biofilms in Bacterial Keratitis. Cells 2020, 9, 2450. [Google Scholar] [CrossRef] [PubMed]
- Ranveer, S.A.; Dasriya, V.; Ahmad, M.F.; Dhillon, H.S.; Samtiya, M.; Shama, E.; Anand, T.; Dhewa, T.; Chaudhary, V.; Chaudhary, P. Positive and negative aspects of bacteriophages and their immense role in the food chain. npj Sci. Food 2024, 8, 1. [Google Scholar] [CrossRef]
- Plumet, L.; Ahmad-Mansour, N.; Dunyach-Remy, C.; Kissa, K.; Sotto, A.; Lavigne, J.-P.; Costechareyre, D.; Molle, V. Bacteriophage therapy for Staphylococcus aureus infections: A review of animal models, treatments, and clinical trials. Front. Cell. Infect. Microbiol. 2022, 12, 907314. [Google Scholar] [CrossRef] [PubMed]
- Furusawa, T.; Iwano, H.; Hiyashimizu, Y.; Matsubara, K.; Higuchi, H.; Nagahata, H.; Niwa, H.; Katayama, Y.; Kinoshita, Y.; Hagiwara, K. Phage therapy is effective in a mouse model of bacterial equine keratitis. Appl. Environ. Microbiol. 2016, 82, 5332–5339. [Google Scholar] [CrossRef]
- Alipour-Khezri, E.; Skurnik, M.; Zarrini, G. Pseudomonas aeruginosa bacteriophages and their clinical applications. Viruses 2024, 16, 1051. [Google Scholar] [CrossRef] [PubMed]
- Silva, N.C.; Sarmento, B.; Pintado, M. The importance of antimicrobial peptides and their potential for therapeutic use in ophthalmology. Int. J. Antimicrob. Agents 2013, 41, 5–10. [Google Scholar] [CrossRef]
- Ito, S.; Nakamura, J.; Fukuta, M.; Ura, T.; Teshigawara, T.; Fukushima, J.; Mizuki, N.; Okuda, K.; Shimada, M. Prophylactic and therapeutic vaccine against Pseudomonas aeruginosa keratitis using bacterial membrane vesicles. Vaccine 2021, 39, 3152–3160. [Google Scholar] [CrossRef]
- Zumla, A.; Rao, M.; Wallis, R.S.; Kaufmann, S.H.; Rustomjee, R.; Mwaba, P.; Vilaplana, C.; Yeboah-Manu, D.; Chakaya, J.; Ippolito, G. Host-directed therapies for infectious diseases: Current status, recent progress, and future prospects. Lancet Infect. Dis. 2016, 16, e47–e63. [Google Scholar] [CrossRef] [PubMed]
- Kaufmann, S.H.; Dorhoi, A.; Hotchkiss, R.S.; Bartenschlager, R. Host-directed therapies for bacterial and viral infections. Nat. Rev. Drug Discov. 2018, 17, 35–56. [Google Scholar] [CrossRef]
- Tang, Y.; Qu, S.; Ning, Z.; Wu, H. Immunopeptides: Immunomodulatory strategies and prospects for ocular immunity applications. Front. Immunol. 2024, 15, 1406762. [Google Scholar] [CrossRef] [PubMed]
- Eshac, Y.; Redfern, R.L.; Aakalu, V.K. The role of endogenous antimicrobial peptides in modulating innate immunity of the ocular surface in dry eye diseases. Int. J. Mol. Sci. 2021, 22, 721. [Google Scholar] [CrossRef]
- Shannon, A.H.; Adelman, S.A.; Hisey, E.A.; Potnis, S.S.; Rozo, V.; Yung, M.W.; Li, J.Y.; Murphy, C.J.; Thomasy, S.M.; Leonard, B.C. Antimicrobial peptide expression at the ocular surface and their therapeutic use in the treatment of microbial keratitis. Front. Microbiol. 2022, 13, 857735. [Google Scholar] [CrossRef]
- Cheng, H.; Wong, J.L.Y.; Quek, C.W.N.; Goldberg, J.L.; Mahajan, V.B.; Wong, T.Y.; Mehta, J.S.; Ting, D.S.; Ting, D.S. Ophthalmic drug discovery and development using artificial intelligence and digital health technologies. NPJ Digit. Med. 2025, 8, 573. [Google Scholar] [CrossRef]
- Cole, N.; Hume, E.B.; Vijay, A.K.; Sankaridurg, P.; Kumar, N.; Willcox, M.D. In vivo performance of melimine as an antimicrobial coating for contact lenses in models of CLARE and CLPU. Investig. Ophthalmol. Vis. Sci. 2010, 51, 390–395. [Google Scholar] [CrossRef]
- André, C.; Medina, M.; Kolenda, C.; Blazière, L.; Helluin, E.; Resch, G.; Bispo, P.J.; Laurent, F. In Vitro Activity of Bacteriophages Against Ocular Methicillin-resistant S. aureus Isolates Collected in the US. Ophthalmol. Ther. 2025, 14, 897–909. [Google Scholar] [CrossRef] [PubMed]
- Rahimzadeh, G.; Saeedi, M.; Nokhodchi, A.; Moosazadeh, M.; Ghasemi, M.; Rostamkalaei, S.S.; Mortazavi, P.; Eghbali, M.; Pourbakhshian, R.; Rezai, M.S. Evaluation of in-situ gel-forming eye drop containing bacteriophage against Pseudomonas aeruginosa keratoconjunctivitis in vivo. BioImpacts BI 2020, 11, 281. [Google Scholar] [CrossRef] [PubMed]

| Surveillance Program | Scope/Focus | Pathogens | Notes |
|---|---|---|---|
| GLASS (WHO) | Global AMR surveillance | S. aureus, P. aeruginosa, S. pneumoniae | Primarily systemic infections, but data extrapolated to ophthalmology |
| ARMOR (US) | Ocular-specific | MRSA, fluoroquinolone-resistant P. aeruginosa, penicillin-resistant S. pneumoniae | Tracks conjunctivitis, keratitis, endophthalmitis; informs empiric therapy |
| Ocular TRUST (US) | Ocular-specific | S. aureus, S. pneumoniae, H. influenzae, P. aeruginosa | Documents MRSA and fluoroquinolone resistance trends |
| SENTRY (Global) | Multi-site, multi-country | S. aureus, P. aeruginosa | Includes ocular isolates in some studies; highlights geographic resistance variation |
| EARS-Net (Europe) | Systemic, invasive infections | S. aureus, S. pneumoniae | Provides regional comparative data affecting ophthalmic care |
| CARSS (China) | National AMR surveillance | Gram-positive and Gram-negative bacteria | Some hospitals include ocular isolates |
| AGAR (Australia) | National AMR surveillance | MRSA, MDR Gram-negative organisms | Covers ocular and systemic infections |
| INSAR (India) | National hospital-based surveillance | Ocular and systemic pathogens | Provides local data for empiric therapy |
| APEIRS (Asia-Pacific) | Regional surveillance | MDR Gram-negative isolates | Highlights impact of unregulated antibiotic use |
| Mechanism | Description | Examples | Clinical Implications |
|---|---|---|---|
| Genetic Mechanisms | Acquisition or alteration of genetic material that confers resistance. Includes mutation-driven resistance and HGT. | -Mutations in DNA gyrase/topoisomerase IV → fluoroquinolone resistance -Mutations in PBPs or ribosomal proteins → β-lactam or macrolide resistance (less frequent) -HGT via plasmids, transposons, integrons carrying resistance genes | Rapid acquisition of MDR, treatment failure, spread of resistance across species |
| Biochemical Mechanisms | Alterations that directly impair antimicrobial activity. Includes enzymatic degradation, target modification, efflux pumps, and reduced permeability. | -β-lactamases, ESBLs, carbapenemases → β-lactam inactivation -Aminoglycoside-modifying enzymes → gentamicin/tobramycin resistance -Target modifications (e.g., ribosomal RNA methylation, PBP changes) -Multidrug efflux pumps (fluoroquinolones, macrolides, tetracyclines) -Reduced outer membrane porin permeability | Reduced drug efficacy, multidrug resistance, may require higher or combination therapies |
| Biofilm Formation | Structured bacterial communities encased in extracellular polymeric matrix that adheres to surfaces. Provides physical protection and metabolic dormancy. | -Biofilms on contact lenses, intraocular lenses, corneal tissue, ocular prostheses | Chronic/recurrent infections, reduced antibiotic penetration, facilitation of HGT, may necessitate prolonged therapy or surgical intervention |
| Interplay of Mechanisms | Synergistic effects of genetic, biochemical, and biofilm-mediated resistance. | -MDR pathogens with plasmid-borne genes inside biofilms expressing efflux pumps | Higher risk of treatment failure, vision loss, need for advanced therapeutics and AMS |
| Driver | Description | Examples | Clinical Implications |
|---|---|---|---|
| Overuse and misuse of topical antibiotics | Frequent, unnecessary, or inappropriate prescriptions increase selective pressure on ocular flora | -Antibiotics used for viral conjunctivitis -Over-the-counter self-medication -Prolonged or repeated courses | -Emergence of resistant S. aureus, P. aeruginosa, S. pneumoniae -Complicated future infections -Limited therapeutic options |
| Prophylactic antibiotics in ocular surgery | Routine pre- or postoperative use exposes ocular flora to sub-inhibitory drug concentrations | -Cataract, refractive surgeries, glaucoma surgeries -Use of broad-spectrum antibiotics (fluoroquinolones, aminoglycosides) | -Selection for multidrug-resistant organisms (MRSA, fluoroquinolone-resistant Pseudomonas) -Increased postoperative infection risk -Contribution to community resistance reservoir |
| Subtherapeutic dosing/poor patient compliance | Inadequate dosing or incorrect administration reduces antibiotic effectiveness | -Skipped doses, early discontinuation -Difficulty instilling drops -Prescribing errors | -Partial survival of resistant bacteria -Increased ocular colonization with resistant strains -Deeper tissue infections (keratitis, endophthalmitis) are more difficult to treat |
| Cross-resistance from systemic antibiotics | Systemic antibiotic use selects for resistant ocular flora even without topical exposure | -Oral fluoroquinolones → fluoroquinolone-resistant Staphylococcus or Pseudomonas -Macrolides or β-lactams affecting ocular Streptococcus spp. | -Asymptomatic colonization leading to hard-to-treat infections -Development of MDR via shared mechanisms (e.g., efflux pumps, plasmids) |
| Environmental/contextual factors | External conditions that facilitate resistance spread | -Hospital/clinic reservoirs (contaminated instruments, poor hygiene) -Contact lens misuse (biofilm formation) -Lack of rapid diagnostics → empirical broad-spectrum use | -Increased transmission of resistant strains -Amplified selection pressure -Empiric therapy is less predictable, higher risk of complications |
| Consequences for patient care | Result of the combined drivers above | -Longer healing times -Risk of corneal perforation or vision loss -Need for second-line or combination antibiotics | -Greater toxicity or limited availability of alternatives -Increased healthcare costs -Reduced efficacy of empiric therapy |
| Category | Examples | Clinical Implications | Economic/Healthcare Impact | Evolutionary Perspective |
|---|---|---|---|---|
| Drivers of Resistance | -Repeated or inappropriate antibiotic use -Subtherapeutic corneal drug levels from topical antibiotics -Contact lens use and nosocomial exposure | -Selection of resistant strains -Increased prevalence of MDR pathogens | -Necessitates ongoing surveillance and stewardship programs | -Sub-lethal antibiotic exposure favors survival of resistant mutants -HGT and selection pressure accelerate emergence of MDR strains |
| Key MDR Pathogens | -S. aureus (MRSA) -P. aeruginosa (MDR strains) -S. pneumoniae (penicillin- or macrolide-resistant) -Other Gram-negative bacilli | -MRSA: treatment failure, prolonged healing -P. aeruginosa: rapid corneal melting, hypopyon, endophthalmitis -S. pneumoniae: limited effective antibiotics | -Limited therapeutic options increase treatment complexity and cost | -Resistant strains often arise from point mutations, acquisition of resistance genes, or selective survival in hospital/community settings |
| Clinical Manifestations | -Conjunctivitis, keratitis, endophthalmitis -Corneal ulceration, perforation, scarring -Rapid progression in contact lens-associated infections | -Prolonged disease courses -Higher likelihood of surgical intervention (keratoplasty, debridement) -Risk of permanent vision loss | -Increased hospital stays -Intensive treatments required (fortified antibiotics, intravitreal injections, surgery) | -MDR pathogens can dominate ocular microbiota over time, leading to recurring and harder-to-treat infections |
| Impact on Treatment | -Reduced efficacy of first-line broad-spectrum antibiotics (e.g., fluoroquinolones) -Need for culture and sensitivity-guided therapy | -Delayed targeted therapy -Recurrent infections and perpetuation of resistance cycle | -Longer treatment duration and monitoring -Increased burden on healthcare resources | -Continuous antibiotic pressure drives adaptive mutations and selection of MDR clones |
| Economic Burden | -Direct: prolonged hospitalization, multiple follow-ups, intensive therapy -Indirect: loss of productivity due to visual impairment | -Higher cumulative cost per patient -Increased strain on healthcare systems | -Resource-intensive management -Need for specialized AMS | -Persistent MDR infections increase systemic healthcare costs and drive demand for novel antibiotics |
| Diagnostic Group | Techniques/Tools | Key Features | Clinical and Public Health Implications |
|---|---|---|---|
| Traditional Culture-Based Methods | -Standard microbiological culture -Susceptibility testing | -48–72 h turnaround -Identifies viable organisms | -Reliable but slow -Empiric therapy may be ineffective during delay |
| Molecular Diagnostics | -PCR (multiplex, broad-range) -mNGS -Targeted assays (NanoString nCounter, MTBDRplus) | -High sensitivity and specificity -Detects multiple pathogens simultaneously -Identifies resistance genes -Works on viable and non-viable organisms | -Early, accurate pathogen ID -Guides targeted therapy -Reduces inappropriate antibiotic use -Useful in culture-negative infections |
| Rapid Resistance Detection Methods | -RESIST ACINETO (Acinetobacter) -Fluorescence-based susceptibility testing -Microfluidic platforms | -Detect metabolic or genetic resistance determinants quickly -Provides near real-time susceptibility profiles | -Optimizes therapy -Avoids ineffective antibiotics -Prevents further resistance development |
| Point-of-Care (POC) Testing | -Lateral flow assays (AspLFD) -RPA -CPT -ML-enhanced POC platforms | -Rapid results (minutes to <1 h) -Portable and simple to use -Suitable for resource-limited settings | -Immediate clinical decisions -Reduces delays in treatment -Enhances diagnostic access and compliance |
| Innovative and Next-Generation Diagnostics | -NTS -Microfluidics + Biosensors -AI and predictive analytics -Teleophthalmology and cloud-based integration | -Real-time sequencing and resistance profiling -Miniaturized, fully automated systems -Remote diagnostics possible | -Enables precision medicine -Improves epidemiological surveillance -Supports AMS and personalized therapy |
| Strategy | Examples | Mechanism | Clinical Implications |
|---|---|---|---|
| Antimicrobial Stewardship (AMS) | -Guidelines based on local resistance patterns -Education of ophthalmologists, nurses, and allied health personnel -Rapid diagnostics (PCR, culture-guided therapy) -Audit and feedback on prescribing patterns | Optimize antibiotic use, reduce unnecessary prescriptions, minimize selection of resistant strains | -Reduces incidence of MDR infections -Improves treatment outcomes -Limits perpetuation of resistance cycles |
| Novel Drug Delivery Systems | -Nanoparticles (polymeric, liposomal) loaded with antibiotics -Hydrogels for sustained release -Intraocular or subconjunctival sustained-release implants | Enhance ocular penetration, prolong drug residence time, maintain therapeutic concentrations, reduce sublethal exposure | -Improved drug efficacy -Reduced dosing frequency -Lower risk of developing resistance |
| Non-Antibiotic Therapies | -Phage therapy targeting specific pathogens (e.g., P. aeruginosa, S. aureus) -AMPs for rapid bactericidal action | Directly kill or inhibit bacteria without using conventional antibiotics, reducing selective pressure | -Potential treatment for MDR infections -Preserves commensal flora -Low propensity for resistance development |
| Preventive Interventions | -Vaccination against S. pneumoniae, Haemophilus influenzae -Host-directed therapies (immunomodulatory agents, peptides enhancing innate immunity) | Reduce infection incidence and boost host defenses | -Decreased antibiotic use -Reduced selection pressure for resistance -Lower overall burden of ocular infections |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Osei Duah Junior, I.; Ampong, J.; Danquah, C.A. Mechanisms and Evolution of Antimicrobial Resistance in Ophthalmology: Surveillance, Clinical Implications, and Future Therapies. Antibiotics 2025, 14, 1167. https://doi.org/10.3390/antibiotics14111167
Osei Duah Junior I, Ampong J, Danquah CA. Mechanisms and Evolution of Antimicrobial Resistance in Ophthalmology: Surveillance, Clinical Implications, and Future Therapies. Antibiotics. 2025; 14(11):1167. https://doi.org/10.3390/antibiotics14111167
Chicago/Turabian StyleOsei Duah Junior, Isaiah, Josephine Ampong, and Cynthia Amaning Danquah. 2025. "Mechanisms and Evolution of Antimicrobial Resistance in Ophthalmology: Surveillance, Clinical Implications, and Future Therapies" Antibiotics 14, no. 11: 1167. https://doi.org/10.3390/antibiotics14111167
APA StyleOsei Duah Junior, I., Ampong, J., & Danquah, C. A. (2025). Mechanisms and Evolution of Antimicrobial Resistance in Ophthalmology: Surveillance, Clinical Implications, and Future Therapies. Antibiotics, 14(11), 1167. https://doi.org/10.3390/antibiotics14111167

