Abstract
Purpose
The aim of the study was to measure amino acid levels with the metabolomics analysis in pterygium tissue and normal conjunctiva tissue.
Materials and methods
In this prospective, randomized, clinical study, a comparison of the amino acid profile of pterygium tissue and normal conjunctiva tissue taken during autograft pterygium surgery was made. After homogenization of the tissues, amino acid levels were measured with chromatography–mass spectrometry (LC–MS/MS) in the biochemistry laboratory. Statistical analysis was made using the Wilcoxon signed-rank test.
Results
Evaluation of pterygium and normal conjunctiva tissues of 29 patients, comprising 16 females and 13 males with a mean age of 54.75 ± 11.25 years (range 21–78 years) was made. While a dramatic increase was observed in all the amino acid levels in the pterygium tissue compared to the normal conjunctiva (p > 0.05), only the increases in arginine, methionine, glycine and tyrosine amino acids were determined to be statistically significant (p < 0.01), (p = 0.028), (p = 0.038), (p = 0.046).
Conclusion
Pterygium is known to be degenerative inflammatory fibrovascular tissue. When the aetiology is examined in depth, several metabolic processes are seen to have an effect. Further studies of the amino acid profile with more extensive patient series could confirm the data obtained in the current study and contribute to the clarification of the pathogenesis of pterygium.
Access this article
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
Similar content being viewed by others
References
Di Girolamo N, Chui J, Coroneo MT, Wakefield D (2004) Pathogenesis of pterygia: role of cytokines, growth factors, and matrix metalloproteinases. Prog Retin Eye Res 23:195–228. https://doi.org/10.1016/j.preteyeres.2004.02.002
Detorakis ET, Spandidos DA (2009) Pathogenetic mechanisms and treatment options for ophthalmic pterygium: trends and perspectives. Int J Mol Med 23:439–447. https://doi.org/10.3892/ijmm_00000149
Anguria P, Kitinya J, Ntuli S, Carmichael T (2014) The role of heredity in pterygium development. Int J Ophthalmol 7:563. https://doi.org/10.3980/j.issn.2222-3959.2014.03.31
Coroneo M (1993) Pterygium as an early indicator of ultraviolet insolation: a hypothesis. Br J Ophthalmol 77:734. https://doi.org/10.1136/bjo.77.11.734
Van Setten G, Aspiotis M, Blalock TD, Grotendorst G, Schultz G (2003) Connective tissue growth factor in pterygium: simultaneous presence with vascular endothelial growth factor–possible contributing factor to conjunctival scarring. Graefe’s Arch Clin Exp Ophthalmol 241:135–139. https://doi.org/10.1007/s00417-002-0589-1
Golu T, Mogoanta L, Streba C, Pirici D, Malaescu D, Mateescu GO, Mutiu G (2011) Pterygium: histological and immunohistochemical aspects. Rom J Morphol Embryol 52:153–158
Liu T, Liu Y, Xie L, He X, Bai J (2013) Progress in the pathogenesis of pterygium. Curr Eye Res 38:1191–1197. https://doi.org/10.3109/02713683.2013.823212
Di Girolamo N (2012) Association of human papilloma virus with pterygia and ocular-surface squamous neoplasia. Eye 26:202–211. https://doi.org/10.1038/eye.2011.312
Ang LP, Chua JL, Tan DT (2007) Current concepts and techniques in pterygium treatment. Curr Opin Ophthalmol 18:308–313. https://doi.org/10.1097/ICU.0b013e3281a7ecbb
Wu C-W, Peng M-L, Yeh K-T, Tsai Y-Y, Chiang C-C, Cheng Y-W (2016) Inactivation of p53 in pterygium influence miR-200a expression resulting in ZEB1/ZEB2 up-regulation and EMT processing. Exp Eye Res 146:206–211. https://doi.org/10.1016/j.exer.2016.03.012
Ozturk BT, Yildirim MS, Zamani A, Bozkurt B (2017) K-ras oncogene mutation in pterygium. Eye 31:491–498. https://doi.org/10.1038/eye.2016.254
Lai H-S, Lee J-C, Lee P-H, Wang S-T, Chen W-J (2005) Plasma free amino acid profile in cancer patients. In: Seminars in cancer biology, pp 267–276. https://doi.org/10.1016/j.semcancer.2005.04.003
Rahimi N, Razi F, Nasli-Esfahani E, Qorbani M, Shirzad N, Larijani B (2017) Amino acid profiling in the gestational diabetes mellitus. J Diabetes Metab Disord 16:13. https://doi.org/10.1186/s40200-016-0283-1
Bi X, Henry C (2017) Plasma-free amino acid profiles are predictors of cancer and diabetes development. Nutr Diabetes 7:249. https://doi.org/10.1038/nutd.2016.55
Hu Z, Zhu Z, Cao Y, Wang L, Sun X, Dong J, Fang Z, Fang Y, Xu X, Gao P (2016) Rapid and sensitive differentiating ischemic and hemorrhagic strokes by dried blood spot based direct injection mass spectrometry metabolomics analysis. J Clin Lab Anal 30:823–830. https://doi.org/10.1002/jcla.21943
la Marca G, Malvagia S, Pasquini E, Innocenti M, Fernandez MR, Donati MA, Zammarchi E (2008) The inclusion of succinylacetone as marker for tyrosinemia type I in expanded newborn screening programs. Rapid Commun Mass Spectrom 22:812–818. https://doi.org/10.1002/rcm.3428
Tan DT-H, Liu Y-P, Sun L (2000) Flow cytometry measurements of DNA content in primary and recurrent pterygia. Invest Ophthalmol Vis Sci 41:1684–1686
Kase S, Osaki M, Jin X-H, Ohgami K, Yoshida K, Saito W, Takahashi S, Nakanishi K, Ito H, Ohno S (2007) Increased expression of erythropoietin receptor in human pterygial tissues. Int J Mol Med 20:699–702. https://doi.org/10.3892/ijmm.20.5.699
Karukonda S, Thompson HW, Beuerman RW, Lam D, Wilson R, Chew SJ, Steinemann TL (1995) Cell cycle kinetics in pterygium at three latitudes. Br J Ophthalmol 79:313–317. https://doi.org/10.1136/bjo.79.4.313
Perra MT, Maxia C, Corbu A, Minerba L, Demurtas P, Colombari R, Murtas D, Bravo S, Piras F, Sirigu P (2006) Oxidative stress in pterygium: relationship between p53 and 8-hydroxydeoxyguanosine. Mol Vis 12:1136–1142. http://www.molvis.org/molvis/v12/a128/
Roux C, Riganti C, Borgogno SF, Curto R, Curcio C, Catanzaro V, Digilio G, Padovan S, Puccinelli MP, Isabello M (2017) Endogenous glutamine decrease is associated with pancreatic cancer progression. Oncotarget 8:95361. https://doi.org/10.18632/oncotarget.20545
Burrill JS, Long EK, Reilly B, Deng Y, Armitage IM, Scherer PE, Bernlohr DA (2015) Inflammation and ER stress regulate branched-chain amino acid uptake and metabolism in adipocytes. Mol Endocrinol 29:411–420. https://doi.org/10.1210/me.2014-1275
Miuma S, Ichikawa T, Arima K, Takeshita S, Muraoka T, Matsuzaki T, Ootani M, Shibata H, Akiyama M, Ozawa E (2012) Branched-chain amino acid deficiency stabilizes insulin-induced vascular endothelial growth factor mRNA in hepatocellular carcinoma cells. J Cell Biochem 113:3113–3121. https://doi.org/10.1002/jcb.24188
Vissers YL, Dejong CH, Luiking YC, Fearon KC, von Meyenfeldt MF, Deutz NE (2005) Plasma arginine concentrations are reduced in cancer patients: evidence for arginine deficiency? Am J Clin Nutr 81:1142–1146. https://doi.org/10.1093/ajcn/81.5.1142
Funding
This work was supported by the research fund of Harran University (HUBAK). Project Number: 17244.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership or other equity interest; and expert testimony or patent-licensing arrangements) or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.
Rights and permissions
About this article
Cite this article
Saglik, A., Koyuncu, I., Gonel, A. et al. Metabolomics analysis in pterygium tissue. Int Ophthalmol 39, 2325–2333 (2019). https://doi.org/10.1007/s10792-018-01069-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10792-018-01069-2