Literature DB >> 30617855

Metabolomics analysis in pterygium tissue.

Ayhan Saglik1, Ismail Koyuncu2, Ataman Gonel2, Hamza Yalcin3, Fatih Mehmet Adibelli4, Muslum Toptan4.   

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.

Entities:  

Keywords:  Amino acid; Chromatography–mass spectrometry; Metabolomics; Pterygium

Mesh:

Substances:

Year:  2019        PMID: 30617855     DOI: 10.1007/s10792-018-01069-2

Source DB:  PubMed          Journal:  Int Ophthalmol        ISSN: 0165-5701            Impact factor:   2.031


  24 in total

1.  Flow cytometry measurements of DNA content in primary and recurrent pterygia.

Authors:  D T Tan; Y P Liu; L Sun
Journal:  Invest Ophthalmol Vis Sci       Date:  2000-06       Impact factor: 4.799

Review 2.  Pathogenesis of pterygia: role of cytokines, growth factors, and matrix metalloproteinases.

Authors:  Nick Di Girolamo; Jeanie Chui; Minas T Coroneo; Denis Wakefield
Journal:  Prog Retin Eye Res       Date:  2004-03       Impact factor: 21.198

Review 3.  Pathogenetic mechanisms and treatment options for ophthalmic pterygium: trends and perspectives (Review).

Authors:  Efstathios T Detorakis; Demetrios A Spandidos
Journal:  Int J Mol Med       Date:  2009-04       Impact factor: 4.101

Review 4.  Current concepts and techniques in pterygium treatment.

Authors:  Leonard P K Ang; Jocelyn L L Chua; Donald T H Tan
Journal:  Curr Opin Ophthalmol       Date:  2007-07       Impact factor: 3.761

5.  Pterygium: histological and immunohistochemical aspects.

Authors:  T Golu; L Mogoantă; C T Streba; D N Pirici; D Mălăescu; Garofiţa Olivia Mateescu; Gabriela Muţiu
Journal:  Rom J Morphol Embryol       Date:  2011       Impact factor: 1.033

Review 6.  Pterygium as an early indicator of ultraviolet insolation: a hypothesis.

Authors:  M T Coroneo
Journal:  Br J Ophthalmol       Date:  1993-11       Impact factor: 4.638

Review 7.  Plasma free amino acid profile in cancer patients.

Authors:  Hong-Shiee Lai; Jenq-Chang Lee; Po-Huang Lee; Shan-Tair Wang; Wei-Jao Chen
Journal:  Semin Cancer Biol       Date:  2005-08       Impact factor: 15.707

8.  Oxidative stress in pterygium: relationship between p53 and 8-hydroxydeoxyguanosine.

Authors:  Maria Teresa Perra; Cristina Maxia; Arianna Corbu; Luigi Minerba; Paolo Demurtas; Romano Colombari; Daniela Murtas; Sonia Bravo; Franca Piras; Paola Sirigu
Journal:  Mol Vis       Date:  2006-09-30       Impact factor: 2.367

9.  Amino acid profiling in the gestational diabetes mellitus.

Authors:  Najmeh Rahimi; Farideh Razi; Ensieh Nasli-Esfahani; Mostafa Qorbani; Nooshin Shirzad; Bagher Larijani
Journal:  J Diabetes Metab Disord       Date:  2017-03-31

Review 10.  Plasma-free amino acid profiles are predictors of cancer and diabetes development.

Authors:  X Bi; C J Henry
Journal:  Nutr Diabetes       Date:  2017-03-13       Impact factor: 5.097

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  1 in total

Review 1.  New Advances in Tissue Metabolomics: A Review.

Authors:  Michelle Saoi; Philip Britz-McKibbin
Journal:  Metabolites       Date:  2021-09-30
  1 in total

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