Skip to main content

ORIGINAL RESEARCH article

Front. Genet., 19 July 2024
Sec. Applied Genetic Epidemiology

Keratoconus and inflammatory bowel disease: mendelian randomization

Yiheng JinYiheng Jin1Yuanfeng WangYuanfeng Wang1Xu QiuXu Qiu1Jiao LiuJiao Liu1Shugen Qu,
Shugen Qu1,2*
  • 1School of Public Health, Zhejiang Provincial Key Laboratory of Watershed Science and Health, Wenzhou Medical University, Wenzhou, China
  • 2South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, China

Background: Keratoconus is a diseased corneal dilation of unknown etiology. Studies have shown that inflammation may play a role in keratoconus. Inflammatory enteritis (IBD), including ulcerative colitis (UC), is a chronic, systemic inflammatory disease. We used Mendelian randomization to assess the causal relationship among IBD, UC and keratoconus.

Methods: The instrumental variable of IBD and UC was selected, the information of the instrumental variable in keratoconus outcome was extracted, and the causal relationship was assessed by the inverse variance weighted method by primary analysis, and its relevant sensitivity analysis.

Results: A causal relationship between IBD and keratoconus was observed significantly (P = 0.017, OR = 1.21, 95% CI = 1.03–1.41), and same as to UC and keratoconus (P = 0.038, OR = 1.25, 95% CI = 1.01–1.54).

Conclusion: IBD may play a causal role in the development of keratoconus, but the mechanism needs to be further elucidated.

1 Introduction

Keratoconus is an eye disease characterized by the thinning of the center of the cornea and protruding forward and conical. It often causes highly irregular myopia, astigmatism, and varying degrees of vision damage (Santodomingo-Rubido et al., 2022). Traditionally, keratoconus is considered a non-inflammatory disease (Krachmer et al., 1984; Rabinowitz, 1998). However, recent studies have found that some inflammatory molecules are overexpressed in the tears of patients with keratoconus: this suggests that there is an inflammatory component in keratoconus pathogenesis. Many clinical perspective examines the evidence and implications of numerous inflammatory processes that have been recognized in the tears of keratoconus patients, as well as some inflammation relevant differences found in the keratoconus cornea, it was significantly increased tear expression of MMP-13, IL-6, IL-17, TNF-α and TNF-β was evident in keratoconus tears. The roles of inflammation in corneal trauma attributed to eye rubbing and/or contact lens wear are examined as is the significance of atopy, allergic disease, dry eye disease, degradative enzyme activity, wound healing, reduced anti-inflammatory capacity, and ultraviolet irradiation (Lema and Durán, 2005; Lema et al., 2009; Galvis et al., 2015b; McMonnies, 2015; Wisse et al., 2015). Inflammatory bowel disease (IBD), which encompasses Crohn’s disease and ulcerative colitis (UC), is a chronic inflammatory disease of the intestine of unknown etiology (Peyrin-Biroulet et al., 2008; Sahoo et al., 2023). Some eye complications are common in IBD (Knox et al., 1984). The possible association of IBD and keratoconus had not been established. However, a cross-sectional study had suggested that individuals with IBD may be at an elevated risk of developing keratoconus (Tréchot et al., 2015). This implies that there may be some common pathological pathways between IBD and keratoconus, and that IBD and keratoconus shared some common inflammatory activities, resulting in a higher incidence of keratoconus in IBD patient.

Mendelian randomization (MR) is an epidemiological data analysis technique that leverages genetic variations robustly associated with exposure factors to serve as instrumental variables. This approach is particularly adept at evaluating the causal relationships between exposure factors and health outcomes. A significant advantage of MR is its ability to mitigate biases stemming from confounding factors and reverse causality, thereby enhancing the validity of etiological inferences (Lawlor et al., 2008; Emdin et al., 2017).

In this study, we used a two-sample MR design to identify potential associations and causal links between IBD and ulcerative colitis with keratoconus as outcomes (Crohn’s disease was not included in the study because no data was available) provided data support for corresponding scientific research.

2 Materials and methods

2.1 Data sources

Genome-wide association studies (GWAS) of keratoconus, IBD and UC are from the GWAS database (http://gwas-api.mrcieu.ac.uk/, accessed on 6 August 2023). Because it is publicly available data, no additional ethical approval is required. The data for IBD, UC and keratoconus are also from GWAS datasets. The details of the included GWAS are shown in Table 1.

Table 1
www.frontiersin.org

Table 1. The database source for MR analysis.

2.2 Selection of instrumental variables

The selection of all instrumental variables (IVs), that are SNPs must meet the following three conditions (Gagliano Taliun and Evans, 2021): 1) There is a strong association between IVs and exposure (Rabinowitz, 1998). 2) IVs are independent of confounders affecting exposure and outcome (Krachmer et al., 1984). 3) IVs are not directly associated with outcome, and they can only exert effects on outcome by exposure pathway.

At the beginning, we extracted SNPs which are strongly associated with inflammatory enteritis and ulcerative colitis from already published data, we use P < 5 × 10−8 as the primary screening condition. To ensure that the exposure tools we use are independent and random, we excluded SNPs which are in linkage disequilibrium (LD) (r2 < 0.001, clumping window = 10,000 kb). We then extracted the relevant exposure instrumental variables in the GWAS data of keratoconus, and we excluded Palindromic SNPs. The remaining instrumental variables are considered instrumental variables.

2.3 Statistical analysis

To verify the causal association between the exposures and outcome. Several MR methods were used, including inverse variance weighted (IVW), MR-Egger, Weighted median, Simple mode, and Weighted mode. In international MR analysis, two methods (IVW and MR-Egger) are often used as basic MR methods. As the primary MR analysis method, IVW evaluates the association strength between instrumental variables and the outcome through regression analysis. This method assumes homogeneity in the associations of all instrumental variables with the outcome, that is, no horizontal pleiotropy exists. The IVW method is not sensitive to the strength of individual instrumental variables but is susceptible to outliers. MR-Egger extends IVW by allowing the assessment of potential horizontal pleiotropy, where instrumental variables may affect the outcome through pathways unrelated to the exposure. MR-Egger regression detects such pleiotropy by introducing an intercept term, and the significance of this intercept can be used to assess the presence of pleiotropy. Weighted Median method as a robust MR method, which is not sensitive to outliers. It uses the median effect estimate to reduce the impact of outliers, enhancing the robustness of the analysis. Simple Mode and Weighted Mode methods, aim to improve the efficiency of the analysis by selecting SNPs most closely associated with the instrumental variables, may be sensitive to pleiotropy. We used IVW as the primary method for MR analysis. When the P of the IVW method is less than 0.05, the results are considered meaningful. At the same time, it is also necessary to ensure that the b value direction of the IVW, MR-egger and Weighed media methods is consistent.

2.4 Sensitivity analysis

Heterogeneity was detected by Cochran’s Q test and pleiotropy was assessed by MR-Egger regression (Bowden et al., 2015; Greco et al., 2015). MR-presso test rejection anomalous SNP was used to detect and correct the level pleiotropy (Verbanck et al., 2018). Finally, the results were visualized with a one-by-one culling test, forest plot, scatter plot and funnel plot.

3 Result

3.1 Selection of instrumental variables between IBD and keratoconus

In the MR analysis of IBD and keratoconus, we extracted instrument SNPs with strong correlation properties (P < 0.05). At the same time, we had also removed the LD SNPs. We got 114 SNPs. Next, when extracting the information of instrumental in the outcome, We found 1 SNPs that were excluded due to no corresponding outcomes. When harmonizing exposure data and outcome data, there were 2 SNPs (rs17835641, rs1991866) excluded because they were palindromic SNPs. We ended up with 111 SNPs for MR analysis (Supplementary Tables S1, S2). Following a similar approach for the MR analysis of ulcerative colitis (UC) and keratoconus, we initially identified 39 SNPs, from which we excluded three SNPs lacking outcome information and one palindromic SNP (rs9891174) (Supplementary Tables S3, S4). We ended up with 35 SNPs for MR analysis. Figure 1 showed the flow chart of this study.

Figure 1
www.frontiersin.org

Figure 1. The flow chart of this study.

3.2 MR analysis results of IBD and keratoconus

In the MR analysis results of IBD and keratoconus, the risk used by IVW model showed that IBD was positively correlated with keratoconus (P = 0.017, OR = 1.21, 95% CI = 1.03–1.41). While in UC and keratoconus, the results of IVW model showed that UC was positively correlated with keratoconus (P = 0.038, OR = 1.25, 95% CI = 1.01–1.54). All data was shown in Table 2.

Table 2
www.frontiersin.org

Table 2. The results of MR analyis between IBD and UC with keratoconus.

3.3 Sensitive analysis between horizontal pleiotropy and heterogeneity

To assess the pleiotropy and heterogeneity, we performed sensitivity analyses. The results of the sensitivity analysis were been shown in Table 3. There was no evidence to support pleiotropy of SNPs in the MR-Egger regression analysis (P = 0.732 > 0.05, P = 0.276 > 0.05). When testing for heterogeneity using Cochran’s Q, it was found that the tool SNPs in IBD and keratoconus analysis were not heterogeneous (P = 0.324 > 0.05), while SNPs in UC and keratoconus analysis were significantly heterogeneous (P = 0.009 < 0.05). It should be noted that when using the MR-PRESSO test, since the test requires simulation, and the large number of values of the dependent variable, the results obtained during each regression test are different, and the data was the average of multiple results. Next, in the analysis of IBD and keratoconus, instrumental SNPs did not show horizontal pleiotropy (P = 0.338 > 0.05) and did not exhibit outlier SNPs. But in the analysis of UC and keratoconus, instrumental SNPs table first came out with significant horizontal pleiotropism (P = 0.005 < 0.05), and there was a chance of outlier SNP (rs6062496). Owing to the stochastic nature of the MR-PRESSO test in this context, we chose not to exclude any outlier SNPs from the initial MR analysis.

Table 3
www.frontiersin.org

Table 3. The results of sensitive analysis.

We also got leave-one-out plot, forest plots, test plot, scatter plot and funnel plot (Figures 2, 3). In the leave-one-out analysis, we could see that removing a single SNP did not have much effect on the overall result, and that no single SNP on the surface had a significant impact on the overall result. Through the funnel plot, we could see that the points representing causal effects were symmetrical left and right, which showed that causal effects was unlikely to be affected by potential bias.

Figure 2
www.frontiersin.org

Figure 2. Sensitivity analysis of the causal effect of IBD on keratoconus risk. (A) leave-one-out plot, (B) forest plot, (C) scatter plot, (D) funnel plot.

Figure 3
www.frontiersin.org

Figure 3. Sensitivity analysis of the causal effect of UC on keratoconus risk. (A) leave-one-out plot, (B) forest plot, (C) scatter plot, (D) funnel plot.

4 Discussion

Keratoconus has traditionally been considered an isolated disorder that has rarely been associated with other pathological features (Krachmer et al., 1984). Eye rubbing is thought to be a risk factor, but the mechanism of action is not clear. The conjecture may be related to the presence of mechanical factors in the rubbing eye (Yang et al., 2022; Jaskiewicz et al., 2023). The accepted definition is non-inflammatory keratoectasia, but this view has recently been questioned by many studies (Galvis et al., 2015a; Taurone et al., 2021). It has been suggested that keratoconus is somewhat similar to osteoarthritis and involves a significant inflammatory process, but does not meet all criteria for inflammatory diseases. It is possible that any comorbidity that is inflammatory in nature may add synergistically to other forms of keratoconus-related inflammation and exacerbate its pathogenetic processes. It is intricate on pathophysiological process of keratoconus and inflammatory enteritis in detail. The strategy of etiological prevention plays an important role in keratoconus intervene. It is more accurate to think of keratoconus as quasi-inflammatory (Attur et al., 2002; McMonnies, 2015).

IBD is a systemic inflammatory disease of undetermined etiology and its main symptom is in the bowel, and can cause many eye complications. Ophthalmic complications are usually caused by inflammation (Ghanchi and Rembacken, 2003). Revealing the association between IBD and keratoconus may suggest the role of inflammation in keratoconus. It become an argument for the keratoconus inflammation hypothesis. Only one previous cross-sectional study and one retrospective study evaluated the causal association between IBD and keratoconus (Nemet et al., 2010; Tréchot et al., 2015). But these results are based on epidemiological data, and few studies have discussed associations from a genetic context. Our study that firstly uses mendelian randomization methods in genetic variation as instrumental variables to provide randomised evidence for assessing causal associations between IBD and keratoconus, while, it cannot replace randomized controlled trials (Ference et al., 2021). In brief, our study can support the inflammation hypothesis of keratoconus from a new angle.

We used hereditary variability as an instrumental variable to reduce the likelihood of confounding, which greatly increased the stability of the associations outcome. The causal relationship between IBD and keratoconus has been demonstrated in our study, and the mendelian randomisation also yielded consistent results, which increases the confidence in the results. However, the database we used was derived from large-scale genome-wide GWAS data, which provides strong and reliable SNPs associations and avoids potential weak instrumental bias, enabling better results and greatly improving statistical validity. Moreover, this study is firstly to use mendelian randomisation to analyse the association between IBD and keratoconus, and is filling a gap in this field.

Even though we did a lot of original study, there’s no denying, that our study has some limitations: Firstly, the samples in our study are from European origin, so whether our results can be extrapolated to other races, that needed to be verified by further data and epidemiological analyses. Second, some unclear confounding factors can bias the experimental results. In later analyses, we also obtained results of horizontal pleiotropy and heterogeneity, and the results and conclusions need to be improved. Third, IBD also includes Crohn’s disease, but our study lacked data of Crohn’s disease and did not elucidate the causal relationship between Crohn’s disease and keratoconus. While, the findings of this study have important implications for clinicians in the management of patients with IBD. Doctors may need to perform regular eye examinations for personage with IBD, in order to detect and intervene keratitis early. In addition, anti-inflammatory therapy for IBD may have potential value in preventing or slowing the progression of keratitis. Future clinical trials could explore the effects of anti-inflammatory drugs in keratitis treatment.

Mechanical injury and mechanical traction have been shown in the literature as potential pathogenic factors for keratoconus (Rabinowitz et al., 2021; Dou et al., 2022). There is also literature suggesting an association between immune factors and keratoconus (Rabinowitz et al., 2021; Dou et al., 2022). Of course, immune factors, IL-6, IL-17, also mediate the pathogenesis of IBD (Cassinotti et al., 2014; Geremia et al., 2014; Wallace et al., 2014; Saez et al., 2021; Sahoo et al., 2023). We can speculate that those related mechanical factors, cause the inflammatory response, as to leads to the onset of keratoconus. We may hypothesize that IBD and keratoconus could share certain complex immune and inflammatory responses. This implies that in patients with IBD, mechanical factors could be bypassed, and the inflammatory response could directly lead to keratoconus. Alternatively, in IBD patients, mechanical injury and traction caused by external factors, that may be more likely to provoke an inflammatory response resulted in keratoconus. Our study provides other hypotheses, such as, intestinal inflammation may lead to a systemic inflammatory response that affects distant organs, including the eyes. The specific mechanism of action needs to be further studied.

The theory of allergic reaction is one of the possible mechanisms of keratoconus, and those studies have found that keratoconus is often co-occurring with allergic diseases, such as catarrhal keratoconjunctivitis and allergic eye disease in spring. Ruedemann also reported a history of allergic reactions in most patients with keratoconus (Ruedemann, 1970; Wajnsztajn and Solomon, 2021; Seth et al., 2023). There are some similarities between keratoconus and allergic conjunctivitis (Gijs et al., 2023). Allergic reactions cause inflammation, and our study of an association between IBD and keratoconus also provides some evidence for the theory of allergic reaction in keratoconus. As for the specific link, more research is needed to further elucidate.

5 Conclusion

Keratoconus is an eye disease that confuses many clinical experts for the etiological factor. IBD, a systemic inflammatory disease caused by many eye complications, that is a chronic intestinal inflammatory disease of unknown cause. Mendelian randomization methods could provide randomised positively correlated evidence for assessing causal associations between IBD and keratoconus by using genetic variation as instrumental variables, and IBD was one of immediate risk factors for keratoconus.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

YJ: Writing–original draft. YW: Writing–review and editing. XQ: Writing–review and editing. JL: Writing–review and editing. SQ: Writing–review and editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was funded by the National Natural Science Foundation of China (82103774), National Innovative Training Program for College Students (202310343013), Wenzhou science and technology fund project(X20210004).

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2024.1331751/full#supplementary-material

References

Attur, M. G., Dave, M., Akamatsu, M., Katoh, M., and Amin, A. R. (2002). Osteoarthritis or osteoarthrosis: the definition of inflammation becomes a semantic issue in the genomic era of molecular medicine. Osteoarthr. Cartil. 10, 1–4. doi:10.1053/joca.2001.0488

PubMed Abstract | CrossRef Full Text | Google Scholar

Bowden, J., Davey Smith, G., and Burgess, S. (2015). Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int. J. Epidemiol. 44, 512–525. doi:10.1093/ije/dyv080

PubMed Abstract | CrossRef Full Text | Google Scholar

Cassinotti, A., Sarzi-Puttini, P., Fichera, M., Shoenfeld, Y., De Franchis, R., and Ardizzone, S. (2014). Immunity, autoimmunity and inflammatory bowel disease. Autoimmun. Rev. 13, 1–2. doi:10.1016/j.autrev.2013.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Dou, S., Wang, Q., Zhang, B., Wei, C., Wang, H., Liu, T., et al. (2022). Single-cell atlas of keratoconus corneas revealed aberrant transcriptional signatures and implicated mechanical stretch as a trigger for keratoconus pathogenesis. Cell Discov. 8, 66. doi:10.1038/s41421-022-00397-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Emdin, C. A., Khera, A. V., and Kathiresan, S. (2017). Mendelian randomization. Jama 318, 1925–1926. doi:10.1001/jama.2017.17219

PubMed Abstract | CrossRef Full Text | Google Scholar

Ference, B. A., Holmes, M. V., and Smith, G. D. (2021). Using mendelian randomization to improve the design of randomized trials. Cold Spring Harb. Perspect. Med. 11, a040980. doi:10.1101/cshperspect.a040980

PubMed Abstract | CrossRef Full Text | Google Scholar

Gagliano Taliun, S. A., and Evans, D. M. (2021). Ten simple rules for conducting a mendelian randomization study. PLoS Comput. Biol. 17, e1009238. doi:10.1371/journal.pcbi.1009238

PubMed Abstract | CrossRef Full Text | Google Scholar

Galvis, V., Sherwin, T., Tello, A., Merayo, J., Barrera, R., and Acera, A. (2015a). Keratoconus: an inflammatory disorder? Eye (Lond) 29, 843–859. doi:10.1038/eye.2015.63

PubMed Abstract | CrossRef Full Text | Google Scholar

Galvis, V., Tello, A., Barrera, R., and NiñO, C. A. (2015b). Inflammation in keratoconus. Cornea 34, e22–e23. doi:10.1097/ICO.0000000000000499

PubMed Abstract | CrossRef Full Text | Google Scholar

Geremia, A., Biancheri, P., Allan, P., Corazza, G. R., and Di Sabatino, A. (2014). Innate and adaptive immunity in inflammatory bowel disease. Autoimmun. Rev. 13, 3–10. doi:10.1016/j.autrev.2013.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Ghanchi, F. D., and Rembacken, B. J. (2003). Inflammatory bowel disease and the eye. Surv. Ophthalmol. 48, 663–676. doi:10.1016/j.survophthal.2003.08.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Gijs, M., Adelaar, T. I., Vergouwen, D. P. C., Visser, N., Dickman, M. M., Ollivier, R. C. I., et al. (2023). Tear fluid inflammatory proteome analysis highlights similarities between keratoconus and allergic conjunctivitis. Invest. Ophthalmol. Vis. Sci. 64, 9. doi:10.1167/iovs.64.15.9

CrossRef Full Text | Google Scholar

Greco, M. F., Minelli, C., Sheehan, N. A., and Thompson, J. R. (2015). Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome. Stat. Med. 34, 2926–2940. doi:10.1002/sim.6522

PubMed Abstract | CrossRef Full Text | Google Scholar

Jaskiewicz, K., Maleszka-Kurpiel, M., Michalski, A., Ploski, R., Rydzanicz, M., and Gajecka, M. (2023). Non-allergic eye rubbing is a major behavioral risk factor for keratoconus. PLoS One 18, e0284454. doi:10.1371/journal.pone.0284454

PubMed Abstract | CrossRef Full Text | Google Scholar

Knox, D. L., Schachat, A. P., and Mustonen, E. (1984). Primary, secondary and coincidental ocular complications of Crohn’s disease. Ophthalmology 91, 163–173. doi:10.1016/s0161-6420(84)34322-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Krachmer, J. H., Feder, R. S., and Belin, M. W. (1984). Keratoconus and related noninflammatory corneal thinning disorders. Surv. Ophthalmol. 28, 293–322. doi:10.1016/0039-6257(84)90094-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Lawlor, D. A., Harbord, R. M., Sterne, J. A., Timpson, N., and Davey Smith, G. (2008). Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Stat. Med. 27, 1133–1163. doi:10.1002/sim.3034

PubMed Abstract | CrossRef Full Text | Google Scholar

Lema, I., and DuráN, J. A. (2005). Inflammatory molecules in the tears of patients with keratoconus. Ophthalmology 112, 654–659. doi:10.1016/j.ophtha.2004.11.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Lema, I., Sobrino, T., DuráN, J. A., Brea, D., and DíEZ-Feijoo, E. (2009). Subclinical keratoconus and inflammatory molecules from tears. Br. J. Ophthalmol. 93, 820–824. doi:10.1136/bjo.2008.144253

PubMed Abstract | CrossRef Full Text | Google Scholar

Mcmonnies, C. W. (2015). Inflammation and keratoconus. Optom. Vis. Sci. 92, e35–e41. doi:10.1097/OPX.0000000000000455

PubMed Abstract | CrossRef Full Text | Google Scholar

Nemet, A. Y., Vinker, S., Bahar, I., and Kaiserman, I. (2010). The association of keratoconus with immune disorders. Cornea 29, 1261–1264. doi:10.1097/ICO.0b013e3181cb410b

PubMed Abstract | CrossRef Full Text | Google Scholar

Peyrin-Biroulet, L., Desreumaux, P., Sandborn, W. J., and Colombel, J. F. (2008). Crohn’s disease: beyond antagonists of tumour necrosis factor. Lancet 372, 67–81. doi:10.1016/S0140-6736(08)60995-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Rabinowitz, Y. S. (1998). Keratoconus. Surv. Ophthalmol. 42, 297–319. doi:10.1016/s0039-6257(97)00119-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Rabinowitz, Y. S., Galvis, V., Tello, A., Rueda, D., and GarcíA, J. D. (2021). Genetics vs chronic corneal mechanical trauma in the etiology of keratoconus. Exp. Eye Res. 202, 108328. doi:10.1016/j.exer.2020.108328

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruedemann, A. D. (1970). Clinical course of keratoconus. Trans. Am. Acad. Ophthalmol. Otolaryngol. 74, 384–398. doi:10.1016/S0002-7154(70)30350-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Saez, A., Gomez-Bris, R., Herrero-Fernandez, B., Mingorance, C., Rius, C., and Gonzalez-Granado, J. M. (2021). Innate lymphoid cells in intestinal homeostasis and inflammatory bowel disease. Int. J. Mol. Sci. 22, 7618. doi:10.3390/ijms22147618

PubMed Abstract | CrossRef Full Text | Google Scholar

Sahoo, D. K., Heilmann, R. M., Paital, B., Patel, A., Yadav, V. K., Wong, D., et al. (2023). Oxidative stress, hormones, and effects of natural antioxidants on intestinal inflammation in inflammatory bowel disease. Front. Endocrinol. 14, 1217165. doi:10.3389/fendo.2023.1217165

PubMed Abstract | CrossRef Full Text | Google Scholar

Santodomingo-Rubido, J., Carracedo, G., Suzaki, A., Villa-Collar, C., Vincent, S. J., and Wolffsohn, J. S. (2022). Keratoconus: an updated review. Cont. Lens Anterior Eye 45, 101559. doi:10.1016/j.clae.2021.101559

PubMed Abstract | CrossRef Full Text | Google Scholar

Seth, I., Bulloch, G., Vine, M., Outmezguine, J., Seth, N., Every, J., et al. (2023). The association between keratoconus and allergic eye diseases: a systematic review and meta-analysis. Clin. Exp. Ophthalmol. 51, O1–o16. doi:10.1111/ceo.14215

PubMed Abstract | CrossRef Full Text | Google Scholar

Taurone, S., Ralli, M., Plateroti, A. M., Scorcia, V., Greco, A., Nebbioso, M., et al. (2021). Keratoconus: the possible involvement of inflammatory cytokines in its pathogenesis. An experimental study and review of the literature. Eur. Rev. Med. Pharmacol. Sci. 25, 4478–4489. doi:10.26355/eurrev_202107_26239

PubMed Abstract | CrossRef Full Text | Google Scholar

TréCHOT, F., Angioi, K., Latarche, C., Conroy, G., Beaujeux, P., Andrianjafy, C., et al. (2015). Keratoconus in inflammatory bowel disease patients: a cross-sectional study. J. Crohns Colitis 9, 1108–1112. doi:10.1093/ecco-jcc/jjv151

PubMed Abstract | CrossRef Full Text | Google Scholar

Verbanck, M., Chen, C. Y., Neale, B., and Do, R. (2018). Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat. Genet. 50, 693–698. doi:10.1038/s41588-018-0099-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Wajnsztajn, D., and Solomon, A. (2021). Vernal keratoconjunctivitis and keratoconus. Curr. Opin. Allergy Clin. Immunol. 21, 507–514. doi:10.1097/ACI.0000000000000765

PubMed Abstract | CrossRef Full Text | Google Scholar

Wallace, K. L., Zheng, L. B., Kanazawa, Y., and Shih, D. Q. (2014). Immunopathology of inflammatory bowel disease. World J. Gastroenterol. 20, 6–21. doi:10.3748/wjg.v20.i1.6

PubMed Abstract | CrossRef Full Text | Google Scholar

Wisse, R. P., Kuiper, J. J., Gans, R., Imhof, S., Radstake, T. R., and Van Der Lelij, A. (2015). Cytokine expression in keratoconus and its corneal microenvironment: a systematic review. Ocul. Surf. 13, 272–283. doi:10.1016/j.jtos.2015.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, K., Li, D., Xu, L., Pang, C., Zhao, D., and Ren, S. (2022). Independent and interactive effects of eye rubbing and atopy on keratoconus. Front. Immunol. 13, 999435. doi:10.3389/fimmu.2022.999435

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: keratoconus, IBD, inflammatory, mendelian randomization (MR), UC

Citation: Jin Y, Wang Y, Qiu X, Liu J and Qu S (2024) Keratoconus and inflammatory bowel disease: mendelian randomization. Front. Genet. 15:1331751. doi: 10.3389/fgene.2024.1331751

Received: 01 November 2023; Accepted: 01 July 2024;
Published: 19 July 2024.

Edited by:

Ashish Patel, Hemchandracharya North Gujarat University, India

Reviewed by:

Andrea Glotta, Ospedale Regionale di Lugano, Switzerland
Marcos Edgar Herkenhoff, University of São Paulo, Brazil
Dipak Kumar Sahoo, Iowa State University, United States

Copyright © 2024 Jin, Wang, Qiu, Liu and Qu. 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: Shugen Qu, c2h1Z2VuanVAd211LmVkdS5jbg==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.