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DETERMINING CHEMICAL DIFFERENCES BETWEEN TORN AND NORMAL ROTATOR CUFF TENDONS USING FOURIER TRANSFORM INFRARED SPECTROSCOPY

S., Chaudhury ; C., Dicko ; F., Vollrath and A., Carr (2012) In Orthopaedic Proceedings 94-B(SUPP_XXI). p.52-52
Abstract
BackgroundRotator cuff tears pose a huge socioeconomic burden. Our study uses Fourier transform infrared spectroscopy (FTIR) as it is a quick, non-manipulative and non-destructive test, which can identify a wide range of chemical targets from small intraoperatively obtained specimens. The aim of this study was (i) to characterise the chemical and structural composition of rotator cuff tendons and (ii) to identify structural differences between anatomically distinct tear sizes. Such information may help to identify specific biomarkers of rotator cuff tear pathologies, which in turn could allow early identification and monitoring of disease progression. FTIR may provide insight into the different healing rates of different tear... (More)
BackgroundRotator cuff tears pose a huge socioeconomic burden. Our study uses Fourier transform infrared spectroscopy (FTIR) as it is a quick, non-manipulative and non-destructive test, which can identify a wide range of chemical targets from small intraoperatively obtained specimens. The aim of this study was (i) to characterise the chemical and structural composition of rotator cuff tendons and (ii) to identify structural differences between anatomically distinct tear sizes. Such information may help to identify specific biomarkers of rotator cuff tear pathologies, which in turn could allow early identification and monitoring of disease progression. FTIR may provide insight into the different healing rates of different tear sizes.MethodsThe infrared spectra of 81 torn rotator cuff tendons were measured using a FTIR spectrometer. The rotator cuff tear sizes were classified as partial, small, medium, large and massive, and compared to 14 normal controls. All spectra were classified using standard multivariate analysis; principal component analysis, partial least square and discriminant function analysis.ResultsFTIR readily differentiated between normal and torn tendons, and different tear sizes. We identified the key discriminating molecules and spectra altered in torn tendons as: (i) carbohydrates/phospholipids (1030-1200 cm-1), (ii) collagen (1300-1700, 3000-3350 cm-1) and (iii) lipids (2800-3000 cm-1). Partial tears were chemically distinct from normal and small tears, and primarily involved a reduction in collagen type II.ConclusionThis study has demonstrated that FTIR can identify different sizes of rotator cuff tear based upon distinguishable chemical and structural features. The onset of rotator cuff tear pathology is mainly due to alterations of the collagen structural arrangements, with associated changes in lipids and carbohydrates. The approach described is rapid and has the potential to be used intraoperatively to determine the quality of the tendon and extent of disease, thus guiding surgical repairs or for monitoring of treatments. (Less)
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author
; ; and
publishing date
type
Contribution to journal
publication status
published
in
Orthopaedic Proceedings
volume
94-B
issue
SUPP_XXI
pages
1 pages
publisher
British Editorial Society of Bone & Joint Surgery
ISSN
1358-992X
language
English
LU publication?
no
additional info
doi: 10.1302/1358-992X.94BSUPP_XXI.Combined2010-052
id
b1eadb67-ebae-4d9b-a512-09573f27171c
date added to LUP
2020-06-11 10:26:02
date last changed
2020-06-29 14:07:50
@article{b1eadb67-ebae-4d9b-a512-09573f27171c,
  abstract     = {{BackgroundRotator cuff tears pose a huge socioeconomic burden. Our study uses Fourier transform infrared spectroscopy (FTIR) as it is a quick, non-manipulative and non-destructive test, which can identify a wide range of chemical targets from small intraoperatively obtained specimens. The aim of this study was (i) to characterise the chemical and structural composition of rotator cuff tendons and (ii) to identify structural differences between anatomically distinct tear sizes. Such information may help to identify specific biomarkers of rotator cuff tear pathologies, which in turn could allow early identification and monitoring of disease progression. FTIR may provide insight into the different healing rates of different tear sizes.MethodsThe infrared spectra of 81 torn rotator cuff tendons were measured using a FTIR spectrometer. The rotator cuff tear sizes were classified as partial, small, medium, large and massive, and compared to 14 normal controls. All spectra were classified using standard multivariate analysis; principal component analysis, partial least square and discriminant function analysis.ResultsFTIR readily differentiated between normal and torn tendons, and different tear sizes. We identified the key discriminating molecules and spectra altered in torn tendons as: (i) carbohydrates/phospholipids (1030-1200 cm-1), (ii) collagen (1300-1700, 3000-3350 cm-1) and (iii) lipids (2800-3000 cm-1). Partial tears were chemically distinct from normal and small tears, and primarily involved a reduction in collagen type II.ConclusionThis study has demonstrated that FTIR can identify different sizes of rotator cuff tear based upon distinguishable chemical and structural features. The onset of rotator cuff tear pathology is mainly due to alterations of the collagen structural arrangements, with associated changes in lipids and carbohydrates. The approach described is rapid and has the potential to be used intraoperatively to determine the quality of the tendon and extent of disease, thus guiding surgical repairs or for monitoring of treatments.}},
  author       = {{S., Chaudhury and C., Dicko and F., Vollrath and A., Carr}},
  issn         = {{1358-992X}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{SUPP_XXI}},
  pages        = {{52--52}},
  publisher    = {{British Editorial Society of Bone & Joint Surgery}},
  series       = {{Orthopaedic Proceedings}},
  title        = {{DETERMINING CHEMICAL DIFFERENCES BETWEEN TORN AND NORMAL ROTATOR CUFF TENDONS USING FOURIER TRANSFORM INFRARED SPECTROSCOPY}},
  volume       = {{94-B}},
  year         = {{2012}},
}