Metabolomics analysis in pterygium tissue
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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.
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).
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.
KeywordsAmino acid Chromatography–mass spectrometry Metabolomics Pterygium
This work was supported by the research fund of Harran University (HUBAK). Project Number: 17244.
Compliance with ethical standards
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.
- 3.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 Google Scholar
- 5.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 CrossRefGoogle Scholar
- 6.Golu T, Mogoanta L, Streba C, Pirici D, Malaescu D, Mateescu GO, Mutiu G (2011) Pterygium: histological and immunohistochemical aspects. Rom J Morphol Embryol 52:153–158Google Scholar
- 12.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
- 15.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 CrossRefGoogle Scholar
- 17.Tan DT-H, Liu Y-P, Sun L (2000) Flow cytometry measurements of DNA content in primary and recurrent pterygia. Invest Ophthalmol Vis Sci 41:1684–1686Google Scholar
- 20.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/
- 23.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 CrossRefGoogle Scholar