Publication date: October 2020
Source: Allergology International, Volume 69, Issue 4
Author(s): Atsuki Fukushima
In Allergology International (AI), Vol. 69, Issue 4, we feature a set of review articles entitled “Current research progress in allergic conjunctival diseases”. We believe that this issue will greatly contribute to our readers’ understanding of the epidemiology and future directions of diagnostic and therapeutic approaches for allergic conjunctival diseases.
The severity of allergic conjunctival diseases ranges from mild (such as allergic conjunctivitis) to severe (vernal keratoconjunctivitis).1 There are great differences in epidemiology, pathogenesis, and treatment methods between the former and the latter. Severe illness had been intractable and difficult to treat, but in Japan, immunosuppressive eye drops could be prescribed more than a dozen years ago, and the number of curable cases has dramatically increased.2,3 This review series updates the status and future perspectives for the treatment of allergic conjunctival diseases.
Epidemiological surveys of allergic diseases in other organs have been conducted and reported over the years. However, regarding allergic conjunctival diseases, there have been relatively few reports on epidemiological studies in Japan or abroad. Miyazaki et al. reviewed previous reports and confirmed that allergic conjunctival diseases are highly regionalized due to racial differences, climate, socioeconomic background, etc. and are increasing globally.4 In addition to these factors, air pollution is said to contribute not only to the aggravation but also to the increased incidence of severe cases.5 Their review includes important suggestions for considering future trends in the management of allergic conjunctival diseases.
Clinical findings and laboratory data are important in understanding pathogenesis. In allergic conjunctival diseases, ocular itching and conjunctival hyperemia are the most common clinical findings. In actual clinical practice, most of the data confirming the existence of allergy in patients are generally obtained by measuring serum antigen-specific IgE. However, it would be desirable to assess the presence of allergic inflammation in the conjunctiva, which is the most common site of inflammation. Although conjunctival sampling is relatively easy, in some cases it can adversely affect visual function and future surgery. Therefore, Shoji et al. have focused their attention on the tears that cover the conjunctiva and cornea, and have energetically carried out research in which various molecules in tear fluid are shown to be involved in the pathogenesis of allergic conjunctival diseases,.6, 7, 8 Based on the data in this review, they discuss future prospects for actual clinical practice.
As described above, as an objective clinical finding, conjunctival hyperemia is the highest in frequency, and the diagnosis is relatively easy to make. However, the degree of evaluation is generally judged by each examiner, based on a representative photograph, resulting in a large and problematic variation among examiners. Tabuchi et al. have devised a method for evaluating conjunctival hyperemia in a short time with high reliability and reproducibility by using an artificial intelligence technique9,10. This versatile method can be used not only in ophthalmology but also in other clinical departments. Clinical application is being attempted, and future development is anticipated.
Finally, Inomata et al. have studied the possibility of grasping the overall picture of diseases such as dry eye11,12 by using multi-omics data and mobile health (mHealth). By extending that method, they are developing an application called Allersearch13 for pollinosis, which is caused by various factors including genetic/environmental factors and life styles. They review the latest information expected to be realized from i2b2 (Informatics for Integrative Biology and the Bedside) in the form of P4 medicine (preventive, predictive, personalized, participatory).14 There is no doubt that this method will play a major role in understanding the pathophysiology of future allergic conjunctival diseases and in determining treatment strategies.
We hope that this review will enable our readers to appreciate the exciting progress being made in research on allergic conjunctival diseases.
Conflict of interest
The author has no conflict of interest to declare.
References
- 1
- E. Takamura, E. Uchio, N. Ebihara, S. Ohno, Y. Ohashi, S. Okamoto, et al.Japanese guidelines for allergic conjunctival diseases 2017Allergol Int, 66 (2017), pp. 220-229
- 2
- N. Ebihara, Y. Ohashi, E. Uchio, S. Okamoto, N. KumagaiA large prospective observational study of novel cyclosporine 0.1% aqueous ophthalmic solution in the treatment of severe allergic conjunctivitisJ Ocul Pharmacol Ther, 25 (2009), pp. 365-372
- 3
- A. Fukushima, Y. Ohashi, N. Ebihara, E. Uchio, S. Okamoto, N. Kumagai, et al.Therapeutic effects of 0.1% tacrolimus eye drops for refractory allergic ocular diseases with proliferative lesion or corneal involvementBr J Ophthalmol, 98 (2014), pp. 1023-1027
- 4
- D. Miyazaki, K. Fukagawa, S. Okamoto, A. Fukushima, E. Uchio, N. Ebihara, et al.Epidemiological aspects of allergic conjunctivitisAllergol Int, 69 (2020), pp. 487-495
- 5
- D. Miyazaki, K. Fukagawa, A. Fukushima, H. Fujishima, E. Uchio, N. Ebihara, et al.Air pollution significantly associated with severe ocular allergic inflammatory diseasesSci Rep, 9 (2019), p. 18205
- 6
- J. ShojiOcular allergy test and biomarkers on the ocular surface: clinical test for evaluating the ocular surface condition in allergic conjunctival diseasesAllergol Int, 69 (2020), pp. 496-504
- 7
- N. Inada, J. Shoji, Y. Shiraki, H. Aso, S. YamagamiHistamine H 1 and H 4 receptor expression on the ocular surface of patients with chronic allergic conjunctival diseasesAllergol Int, 66 (2017), pp. 586-593
- 8
- H. Aso, J. Shoji, Y. Shiraki, N. Inada, S. YamagamiEvaluation of chemokine mRNA expression to assess allergic inflammation of the ocular surface in chronic allergic conjunctival diseasesCornea, 38 (2019), pp. 706-712
- 9
- H. Tabuchi, H. MasumotoObjective evaluation of allergic conjunctival disease (with a focus on the application of artificial intelligence technology)Allergol Int, 69 (2020), pp. 505-509
- 10
- H. Masumoto, H. Tabuchi, T. Yoneda, S. Nakakura, H. Ohsugi, T. Sumi, et al.Severity classification of conjunctival hyperaemia by deep neural network ensemblesJ Ophthalmol, 2019 (2019), p. 7820971
- 11
- T. Inomata, M. Nakamura, M. Iwagami, T. Shiang, Y. Yoshimura, K. Fujimoto, et al.Risk factors for severe dry eye disease: crowdsourced research using DryEyeRhythmOphthalmology, 126 (2019), pp. 766-768
- 12
- T. Inomata, M. Iwagami, M. Nakamura, T. Shiang, K. Fujimoto, Y. Okumura, et al.Association between dry eye and depressive symptoms: large-scale crowdsourced research using the DryEyeRhythm iPhone applicationOcul Surf, 18 (2020), pp. 312-319
- 13
- T. InomataAllerSearch: Juntendo University(2018)Available from:(in Japanese)
- 14
- T. Inomata, J. Sung, M. Nakamura, K. Fujisawa, K. Muto, N. Ebihara, et al.New medical big data for P4 medicine on allergic conjunctivitisAllergol Int, 69 (2020), pp. 510-518
- Peer review under responsibility of Japanese Society of Allergology.
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