Potential of FTIR spectroscopy for analysis of tears for diagnosis purposes

Analytical and Bioanalytical Chemistry

Volumn 406, Issue 9-10, 2014, Pages 2367-2376

  Travo, Adrian ^a,b   Paya, Clément ^c   Déléris, Gérard ^a,b   Colin, Joseph ^c   Mortemousque, Bruno ^d   Forfar, Isabelle ^a,b  

^a UNIVERSITÉ DE BORDEAUX   (France)

^b CNRS   (France)

^c HÔPITAL PELLEGRIN   (France)

^d RENNES UNIVERSITY HOSPITAL   (France)

Author keywords

Chemometrics; Diagnosis; FTIR spectroscopy; Keratoconus; Ophthalmology; Tears

Indexed keywords

DATA HANDLING; FOURIER TRANSFORM INFRARED SPECTROSCOPY; OPHTHALMOLOGY; PATHOLOGY; SPECTRUM ANALYSIS;

CHEMOMETRICS; CONVENTIONAL METHODS; FTIR SPECTROSCOPY; KERATOCONUS; MORPHOLOGICAL ANALYSIS; SPECTRAL ACQUISITION; SPECTRAL MEASUREMENT; TEARS;

DIAGNOSIS;

LIPID;

ADULT; AGED; CHEMISTRY; DIAGNOSTIC USE; EVALUATION STUDY; EYE DISEASES; FEMALE; HUMAN; INFRARED SPECTROSCOPY; LACRIMAL FLUID; MALE; MIDDLE AGED; PROCEDURES; YOUNG ADULT;

ADULT; AGED; EYE DISEASES; FEMALE; HUMANS; LIPIDS; MALE; MIDDLE AGED; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; TEARS; YOUNG ADULT;

EID: 84898030687     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-013-7607-5     Document Type: Article

References (36)

1. Holly FJ, Lemp MA (1977) Tear physiology and dry eyes. Surv Ophthalmol 22(2):69-87
2. Baeyens V, Gurny R (1997) Chemical and physical parameters of tears relevant for the design of ocular drug delivery formulations. Pharm Acta Helv 72(4):191-202
3. Ohashi Y, Dogru M, Tsubota K (2006) Laboratory findings in tear fluid analysis. Clin Chim Acta Int J Clin Chem 369(1):17-28. doi: 10.1016/j.cca.2005. 12.035
4. Lema I, Duran JA (2005) Inflammatory molecules in the tears of patients with keratoconus. Ophthalmology 112(4):654-659. doi: 10.1016/j.ophtha.2004.11. 050
5. Lema I, Brea D, Rodriguez-Gonzalez R, Diez-Feijoo E, Sobrino T (2010) Proteomic analysis of the tear film in patients with keratoconus. Mol Vision 16:2055-2061
6. Kari O, Määttä M, Tervahartiala T, Peltonen S, Kari M, Hagström J, Sorsa T, Saari M, Haahtela T (2009) Tear fluid concentration of mmp-8 is elevated in non - allergic eosinophilic conjunctivitis and correlates with conjunctival inflammatory cell infiltration. Graefes Arch Clin Exp Ophthalmol 247:681-686. doi: 10.1007/s00417-009-1042-5
7. Green-Church K, Nichols K, Kleinholz N, Zhang L, Nichols J (2008) Investigation of the human tear film proteome using multiple proteomic approaches. Mol Vision 14:456-470
8. Hillenaar T, van Cleynenbreugel H, Verjans GM, Wubbels RJ, Remeijer L (2012) Monitoring the inflammatory process in herpetic stromal keratitis: the role of in vivo confocal microscopy. Ophthalmology 119(6):1102-1110. doi: 10.1016/j.ophtha.2011.12.002
9. Feucht N, Schonbach EM, Lanzl I, Kotliar K, Lohmann CP, Maier M (2013) Changes in the foveal microstructure after intravitreal bevacizumab application in patients with retinal vascular disease. Clin Ophthalmol 7:173-178. doi: 10.2147/OPTH.S37544
10. Lamparter J, Aliyeva S, Schulze A, Berres M, Pfeiffer N, Hoffmann EM (2013) Standard automated perimetry versus matrix frequency doubling technology perimetry in subjects with ocular hypertension and healthy control subjects. PloS One 8(2):e57663. doi: 10.1371/journal.pone.0057663
11. Savini G, Prabhawasat P, Kojima T, Grueterich M, Espana E, Goto E (2008) The challenge of dry eye diagnosis. Clin Ophthalmol 2(1):31-55
12. Diem M, Papamarkakis K, Schubert J, Bird B, Romeo M, Miljkovic M (2009) The Infrared Spectral Signatures of Disease: Extracting the Distinguishing Spectral Features Between Normal and Diseased States. Appl Spectrosc 63:307A-318A
13. Krafft C, Steiner G, Beleites C, Salzer R (2009) Disease recognition by infrared and Raman spectroscopy. J Biophotonics 2(1-2):13-28. doi: 10.1002/jbio.200810024
14. Matthaus C, Bird B, Miljkovic M, Chernenko T, Romeo M, Diem M (2008) Chapter 10: Infrared and Raman microscopy in cell biology. Methods Cell Biol 89:275-308. doi: 10.1016/S0091-679X(08)00610-9
15. Movasaghi Z, Rehman S, Rehman IU (2008) Fourier Transform Infrared (FTIR) Spectroscopy of Biological Tissues. Appl Spectrosc 43:134-179
16. Petibois C, Gionnet K, Gonc Alves M, Perromat A, Moenner M, Déléris G (2005) Analytical performances of FTIR spectrometry and imaging for concentration measurements within biological fluids, cells, and tissues. Analyst 131:640-647. doi: 10.1039/b518076g
17. Scaglia E, Sockalingum GD, Schmitt J, Gobinet C, Schneider N, Manfait M, Thiefin G (2011) Noninvasive assessment of hepatic fibrosis in patients with chronic hepatitis C using serum Fourier transform infrared spectroscopy. Anal Bioanal Chem 401(9):2919-2925. doi: 10.1007/s00216-011-5402-8
18. Travo A, Desplat V, Barron E, Poychicot-Coustau E, Guillon J, Deleris G, Forfar I (2012) Basis of a FTIR spectroscopy methodology for automated evaluation of Akt kinase inhibitor on leukemic cell lines used as model. Anal Bioanal Chem 404:1733-1743. doi: 10.1007/s00216-012-6283-1
19. Gajjar K, Trevisan J, Owens G, Keating P, Wood N, Stringfellow H, Martin-Hirsch P, Martin F (2013) Fourier-transform infrared spectroscopy coupled with a classification machine for the analysis of blood plasma or serum: a novel diagnostic approach for ovarian cancer. Analyst 21:3917-3926. doi: 10.1039/c3an36654e
20. Kelly J, Ahmadzai A, Hermansen P, Pitt M, Saidan Z, Martin-Hirsch P, Martin F (2011) A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories: an initial study towards diagnostic screening. Anal Bioanal Chem 401:957-967. doi: 10.1007/s00216-011- 5137-6
21. Kendall C, Isabelle M, Bazant-Hegemark F, Hutchings J, Orr L, Babrah J, Baker R, Stone N (2009) Vibrational spectroscopy: a clinical tool for cancer diagnostics. Analyst 134:1029-1045. doi: 10.1039/b822130h
22. Stelling A, Salzer R, Kirsch M, Sobottka SB, Geiger K, Koch E, Schackert G, Steiner G (2011) Intra-operative optical diagnostics with vibrational spectroscopy. Anal Bioanal Chem 400(9):2745-2753. doi: 10.1007/s00216-011-5022-3
23. Trevisan J, Angelov P, Carmichael P, Scott A, Martin F (2012) Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives. Analyst 137:3202-3215. doi: 10.1039/c2an16300d
24. Borchman D, Foulks G, Yappert M, Kakar S, Podoll N, Rychwalski P, Schwietz E (2010) Physical Changes in Human Meibum with Age as Measured by Infrared Spectroscopy. 44:34-42. doi:10.1159/000283606
25. Borchman D, Foulks GN, Yappert MC, Tang D, Ho DV (2007) Spectroscopic evaluation of human tear lipids. Chem Phys Lipids 147(2):87-102. doi: 10.1016/j.chemphyslip.2007.04.001
26. Nagase Y, Yoshida S, Kamiyama K (2005) Analysis of human tear fluid by Fourier transform infrared spectroscopy. Biopolymers 79(1):18-27. doi: 10.1002/bip.20331
27. Ambrosio R Jr, Alonso RS, Luz A, Coca Velarde LG (2006) Corneal-thickness spatial profile and corneal-volume distribution: tomographic indices to detect keratoconus. J Cataract Refract Surg 32(11):1851-1859. doi: 10.1016/j.jcrs.2006. 06.025
28. Bohren C, Huffman D (2010) Absorption and scattering of light by small particles. ISBN 3527406646. Wiley-Interscience, New York
29. Wang L, Mizaikioff B (2008) Application of multivariate data-analysis techniques to biomedical diagnostics based on mid-infrared spectroscopy. Anal Bioanal Chem 391:1641-1654
30. Armstrong R, Slade S, Eperjesi F (2000) An introduction to analysis of variance (ANOVA) with special reference to data from clinical experiments in optometry. Ophthal Physiol Opt 20:235-241
31. Bertrand D, Coredella C (2011) SAISIR package, Free toolbox for chemometrics in the Matlab, Octave or Scilab environments http://www. chimiometrie.fr/saisir-webpage.html
32. Acosta MC, Alfaro ML, Borras F, Belmonte C, Gallar J (2006) Influence of age, gender and iris color on mechanical and chemical sensitivity of the cornea and conjunctiva. Exp Eye Res 83(4):932-938. doi: 10.1016/j.exer.2006.04.018
33. Imai S, Tsuge N, Tomotake M, Nagatome Y, Sawada H, Nagata T, Kumagai H (2002) Plant biochemistry: an onion enzyme that makes the eyes water. Nature 419(6908):685. doi: 10.1038/419685a
34. Lyng F, Gazi E, Gardner P (2011) Preparation of Tissues and Cells for Infrared and Raman Spectroscopy and Imaging. In: Moss D (ed) Biomedical Applications of Synchrotron Infrared Microspectroscopy. Royal Society of Chemistry, pp 145-189
35. Shine WE, McCulley JP (1998) Keratoconjunctivitis sicca associated with meibomian secretion polar lipid abnormality. Arch Ophthalmol 116(7):849-852
36. Pannebaker C, Chandler H, Nichols J (2010) Tear proteomics in keratoconus. Mol Vis 16:1949-1957