Masaru Ttakeuchi
Mei Chen- 1Department of Ophthalmology, National Defense Medical College, Tokorozawa, Japan
- 2The Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
Editorial on the Research Topic
Omics biomarkers in inflammatory ocular diseases
Rapid advances in biomedical technology allow us to collect different types of “omics” data with unprecedented details. Genome-wide data for various molecular processes, such as mRNA expression, DNA methylation, and microRNA (miRNA) expression, provides omics data for different disease studies. It seems to present only part of a complex biological reaction involved in the pathogenesis, but allows us to understand the underlying biological process where we had not reached (1–3). A great number of omics approaches have been proposed over the years, and a huge step forward was made by the increasing progression, specially designed for identification of biomarkers useful for early diagnostic and follow-up. In the Research Topic of Omics Biomarkers in Inflammatory Ocular Diseases, four outstanding omics studies have been submitted. Pterygium is an environmentally induced ocular surface degenerative disorder which may lead to blindness if untreated. Wolf et al. analyzed using MACE RNA sequencing and immunohistochemistry to characterize the transcriptional profile and the cellular microenvironment of conjunctival pterygia, and revealed genes associated with autophagy (including DCN, TMBIM6), cellular response to stress (including TPT1, DDX5) as well as fibroblast proliferation and epithelial to mesenchymal transition (including CTNNB1, TGFBR1, and FN1) were increased in pterygia compared to control tissue using RNA sequencing. These genes may be employed for new diagnostic tools and targeted therapeutic options for this common ocular surface disease. Blepharitis is a more common ocular surface disease, but is sometime intractable and the biomarkers have not been identified by omics for the pathogen. Wang et al. investigated the microbiota on the ocular surface of patients with blepharitis in northwestern China by 16S rDNA amplicon sequencing analysis. As a result, although the ocular surface microbiota of patients with blepharitis varied among different study groups, Lactobacillus, Bifidobacterium, Akkermansia, Ralstonia, and Bacteroides were identified as potential pathogens of blepharitis. On the other hand, superior limbic keratoconjunctivitis (SLK) is a bilateral, chronic inflammatory disease, and the pathogenic mechanisms remain unknown. Zong et al. performed metabolomic analysis using the tear fluids of SLK patients, and found that 31 metabolites significantly increased and 19 metabolites decreased in SLK patients, and indicated 9 metabolites (phenol, ethyl glucuronide, eicosapentaenoic acid, 12-keto-leukotriene B4, linoleic acid, hypoxanthine, triethanolamine, 1-nitrohexane, and terephthalic acid) as a candidate biomarker for SLK. Finally, Age-Related Macular Degeneration (AMD) is an increasing ocular disease worldwide, leading to irreversible vision impairment. In wet AMD, the progress of vision impairment has been able to be prevented by intravitreal injection of anti-vascular endothelial growth factor inhibitors, however for dry AMD, even a key molecule acting as the biomarker or the therapeutic target has not been identified yet. Mallik et al. focused on regression-based biological age clocks in the retina which have not yet been studied in AMD, and analyzed transcriptomic data consisting of a total of 453 retina samples including 105 Minnesota Grading System (MGS) level 1 samples, 175 MGS level 2, 112 MGS level 3 and 61 MGS level 4 samples, as well as 167 fibroblast samples. The clocks yielded good separation among AMD samples, they suggest new applications for monitoring in vitro neuronal differentiation.
We hope that this Research Topic would contribute to the further development of research on Omics Biomarkers in Inflammatory Ocular Diseases.
Author contributions
MT and MC compiled, drafted, reviewed, and approved. All authors contributed to the article and approved the submitted version.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
1. Verrou K-M, Vlachogiannis NI, Ampatziadis-Michailidis G, Moulos P, Pavlopoulos GA, Hatzis P, et al. Distinct transcriptional profile of blood mononuclear cells in Behçet's disease: insights into the central role of neutrophil chemotaxis. Rheumatology. (2021) 60:4910–9. doi: 10.1093/rheumatology/keab052
2. Yu H, Du L, Yi S, Wang Q, Zhu Y, Qiu Y, et al. Epigenome-wide association study identifies Behcet's disease-associated methylation loci in Han Chinese. Rheumatology (Oxford, England). (2019) 58:1574–84. doi: 10.1093/rheumatology/kez043
Keywords: omics, ocular inflammation, inflammation, biomarker, omics biomarker
Citation: Ttakeuchi M and Chen M (2022) Editorial: Omics biomarkers in inflammatory ocular diseases. Front. Med. 9:1000706. doi: 10.3389/fmed.2022.1000706
Received: 22 July 2022; Accepted: 01 August 2022;
Published: 12 August 2022.
Edited by:
Jodhbir Mehta, Singapore National Eye Center, SingaporeCopyright © 2022 Ttakeuchi and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Masaru Takeuchi, bWFzYXRha2UmI3gwMDA0MDtuZG1jLmFjLmpw