Impact of Perioperative Management on Ocular Microbiota Composition and Diversity: A Study of Intravitreal Injection Patients with 16S rRNA Sequencing
Journal of Ophthalmic and Optometric Sciences,
Vol. 5 No. 4 (2021),
1 May 2023
,
Page 14-29
https://doi.org/10.22037/joos.v5i4.40750
Abstract
Background: The ocular microbiota, which includes both commensal and pathogenic microorganisms, is constantly exposed to the ocular surface.
Material and Methods: In this study, two groups of patients were analyzed. Group A included 19 individuals who had not received intravitreal injections or undergone perioperative management. Group B, on the other hand, consisted of 22 patients who had received one, two, or more two treatments. The microbial samples collected from the ocular surface of these patients were subjected to 16S rRNA sequencing using the HiSeq 2500 platform. Further analysis of the alpha/beta diversity and clustering of operating taxonomic units (OTUs) was carried out.
Results: Our results show a significant difference in beta diversity was observed between group A (15 patients without intravitreal injections or perioperative management) and group B (patients with at least one, twice, or more than twice treatment) with a P value of 0.014. It was found that both the composition and relative abundance of cells were impacted by perioperative management in the lead-up to intravitreal injection. Additionally, a greater diversity of Gram-negative bacteria was observed and the most significant groups of microbiotas were found to be phyla and genera.
Conclusion: In conclusion, our study found that perioperative management has a significant impact on the ocular microbiota, altering its composition and disrupting its balance. Therefore, it is important for clinicians to carefully consider perioperative management prior to administering intravitreal injections.
- Intravitreal Injection
- Antimicrobial Resistance
- Ocular Surface Microbiota
- Perioperative Management
How to Cite
References
Laouri M, Chen E, Looman M, Gallagher M. The burden of disease of retinal vein occlusion: review of the literature. Eye. 2011;25(8):981–8.
Ong APC, Angbue Te N, Zagora SL, Symes RJ, Yates W, Chang AA, et al. Post‐surgical versus post‐intravitreal injection endophthalmitis: changing patterns in causative flora. Clin Experiment Ophthalmol. 2019;47(1):57–62.
Simunovic MP, Rush RB, Hunyor AP, Chang AA. Endophthalmitis following intravitreal injection versus endophthalmitis following cataract surgery: clinical features, causative organisms and post-treatment outcomes. Br J Ophthalmol. 2012;96(6):862–6.
Ozkan J, Coroneo M, Sandbach J, Subedi D, Willcox M, Thomas T. Bacterial contamination of intravitreal needles by the ocular surface microbiome. Ocul Surf. 2021;19:169–75.
Stewart JM, Srivastava SK, Fung AE, Mahmoud TH, Telander DG, Hariprasad SM, et al. Bacterial contamination of needles used for intravitreal injections: a prospective, multicenter study. Ocul Immunol Inflamm. 2011;19(1):32–8.
De Caro JJ, Ta CN, Ho H-K V, Cabael L, Hu N, Sanislo SR, et al. Bacterial contamination of ocular surface and needles in patients undergoing intravitreal injections. Retina. 2008;28(6):877–83.
Nentwich MM, Yactayo-Miranda Y, Weimann S, Fröhlich S, Wolf A, Kampik A, et al. Bacterial contamination of needle points after intravitreal injection. Eur J Ophthalmol. 2009;19(2):268–72.
Kavianfar A, Taherkhani H, Ghorbani F. Utilizing Microbiome Approaches for Antibiotic Resistance Analysis ; an Ocular Case Evaluation. J Ophthalmic Optom Sci. 2021;5(1).
Aagaard K, Petrosino J, Keitel W, Watson M, Katancik J, Garcia N, et al. The Human Microbiome Project strategy for comprehensive sampling of the human microbiome and why it matters. FASEB J Off Publ Fed Am Soc Exp Biol. 2013 Mar;27(3):1012–22.
Qi Y, Wan Y, Li T, Zhang M, Song Y, Hu Y, et al. Comparison of the Ocular Microbiomes of Dry Eye Patients With and Without Autoimmune Disease. Front Cell Infect Microbiol. 2021;11:716867.
Zegans ME, Van Gelder RN. Considerations in understanding the ocular surface microbiome. Vol. 158, American journal of ophthalmology. United States; 2014. p. 420–2.
Aragona P, Baudouin C, Benitez del Castillo JM, Messmer E, Barabino S, Merayo-Lloves J, et al. The ocular microbiome and microbiota and their effects on ocular surface pathophysiology and disorders. Surv Ophthalmol. 2021;66(6):907–25.
Zysset-Burri DC, Schlegel I, Lincke J-B, Jaggi D, Keller I, Heller M, et al. Understanding the Interactions Between the Ocular Surface Microbiome and the Tear Proteome. Invest Ophthalmol Vis Sci. 2021 Aug;62(10):8.
Hu Y-G, Wu Q, Li T-H, Sui F, Zhang M, Zhang Z, et al. Effects of perioperative managements on ocular surface microbiota in intravitreal injection patients. Int J Ophthalmol. 2022;15(2):248–54.
Motieghader H, Kouhsar M, Najafi A, Sadeghi B, Masoudi-Nejad A. mRNA-miRNA bipartite network reconstruction to predict prognostic module biomarkers in colorectal cancer stage differentiation. Mol Biosyst. 2017 Sep;13(10):2168–80.
Abbasi K, Razzaghi P, Poso A, Ghanbari-Ara S, Masoudi-Nejad A. Deep Learning in Drug Target Interaction Prediction: Current and Future Perspectives. Curr Med Chem. 2021;28(11):2100–13.
McDonald D, Price MN, Goodrich J, Nawrocki EP, DeSantis TZ, Probst A, et al. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J. 2012;6(3):610–8.
Masoudi-Sobhanzadeh Y, Omidi Y, Amanlou M, Masoudi-Nejad A. DrugR+: A comprehensive relational database for drug repurposing, combination therapy, and replacement therapy. Comput Biol Med. 2019;109:254–62.
Ahmadi H, Ahmadi A, Azimzadeh-Jamalkandi S, Shoorehdeli MA, Salehzadeh-Yazdi A, Bidkhori G, et al. HomoTarget: a new algorithm for prediction of microRNA targets in Homo sapiens. Genomics. 2013 Feb;101(2):94–100.
Kavianfar A, Salimi M, Taherkhani H. A Review of the Management of Eye Diseases Using Artificial Intelligence , Machine Learning , and Deep Learning in Conjunction with Recent Research on Eye Health Problems. J Ophthalmic Optom Sci. 2021;5(2).
Mela EK, Drimtzias EG, Christofidou MK, Filos KS, Anastassiou ED, Gartaganis SP. Ocular surface bacterial colonisation in sedated intensive care unit patients. Anaesth Intensive Care. 2010;38(1):190–3.
Martínez JL, Baquero F. Emergence and spread of antibiotic resistance: setting a parameter space. Ups J Med Sci. 2014 May;119(2):68–77.
Ventola CL. The antibiotic resistance crisis: part 1: causes and threats. P T. 2015 Apr;40(4):277–83.
Recchia FM, Busbee BG, Pearlman RB, Carvalho-Recchia CA, Ho AC. Changing trends in the microbiologic aspects of postcataract endophthalmitis. Arch Ophthalmol. 2005;123(3):341–6.
Fan JC, Niederer RL, Von Lany H, Polkinghorne PJ. Infectious endophthalmitis: clinical features, management and visual outcomes. Clin Experiment Ophthalmol. 2008;36(7):631–6.
Ham B, Hwang H Bin, Jung SH, Chang S, Kang KD, Kwon MJ. Distribution and diversity of ocular microbial communities in diabetic patients compared with healthy subjects. Curr Eye Res. 2018;43(3):314–24.
Rahman ZA, Harun A, Hasan H, Mohamed Z, Noor SSM, Deris ZZ, et al. Ocular surface infections in northeastern state of malaysia: A 10-year review of bacterial isolates and antimicrobial susceptibility. Eye Contact Lens. 2013;39(5):355–60.
Petrillo F, Pignataro D, Lavano MA, Santella B, Folliero V, Zannella C, et al. Current evidence on the ocular surface microbiota and related diseases. Microorganisms. 2020;8(7):1033.
Speaker MG, Milch FA, Shah MK, Eisner W, Kreiswirth BN. Role of external bacterial flora in the pathogenesis of acute postoperative endophthalmitis. Ophthalmology. 1991;98(5):639–50.
Gomes JAP, Frizon L, Demeda VF. Ocular surface microbiome in health and disease. Asia-Pacific J Ophthalmol. 2020;9(6):505–11.
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