Yolandi van der Merwe1,2, John S. Gnalian3, Ning-Jiun Jan1,2, Ian A. Sigal1,2, and Kevin C. Chan1,2,3
1Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States, 2Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 3Neuroimaging Laboratory, University of Pittsburgh, Pittsburgh, PA, United States
Synopsis
The
structural organization and compositions of the corneoscleral shell determine
the biomechanical behavior of the eye, and are important in aging and diseases
such as glaucoma and myopia. However, characterizing the structure and
composition of the eye and their changes with age or intraocular pressure remains
a challenge. In this study, we showed that T2 mapping, magnetization transfer
MRI and diffusion tensor MRI can be used to detect and differentiate age- and
intraocular pressure-related changes in the porcine eyes. Multi-modal MRI may
be useful for evaluating the biomechanical and (patho-)physiological mechanisms
in the corneoscleral shell non-invasively and quantitatively.
Purpose
The
sclera and cornea are dense and fibrous connective tissues that form the outer
coat of the eye for maintaining shape and protecting delicate tissues like the
retina. These load-bearing connective tissues can dynamically interact with
changing physiological conditions
1,2. The extracellular matrix in
the corneoscleral shell may also be remodeled in aging
3-5, glaucoma
6,
and myopia
7, and plays an important role in transcorneal and
transscleral drug delivery
8,9. To date, there are limited non-invasive
methods to assess the relationships between ocular integrity, intraocular
pressure (IOP), neuropathological events and functional outcomes in aging and
glaucoma. Although several techniques
can help characterize the microarchitecture and biochemistry of excised ocular
tissue sections
10, they do not allow non-destructive and
multi-modality assessments of the same sclera and cornea tissues in the intact
globe
11. MRI offers non-invasive and multi-parametric methods for
assessing the impaired visual system without depth limitation. However, MRI
studies of the corneoscleral shell have been limited, partly due to the
intrinsically fast transverse magnetic resonance relaxation of the fibrous
tissues and the resulting low MRI signal intensities available for biological
examinations. Recently, our group demonstrated the use of the magic-angle
enhancement effect to improve MRI sensitivity for detecting the structural
details of the collagen-rich sclera and cornea tissues, and their changes in T2
and T2* transverse relaxation times in tissues fixed at various levels of IOP
12.
In this study, we aim to non-invasively understand the structural organization
and compositions of the corneoscleral shell in the intact eyes under aging and
glaucomatous conditions using multi-modal MRI.
Methods
Twenty
3-months-old (mos) and nineteen 9 mos porcine eyes were fixed at low IOP at
0-5 mmHg (n=12 at 3 mos; 9 at 9 mos), moderate IOP at 20-30 mmHg (n=4 at 3 mos; 4
at 9 mos), and high IOP at 40-50 mmHg (n=4 at 3 mos; 6 at 9 mos) using a gravity
perfusion fixation system and a cannula inserted into the anterior chamber12.
All porcine eye experiments were performed using a 9.4-Tesla Varian/Agilent MRI
scanner with a 38 mm-diameter transmit-receive volume coil and the following
imaging parameters. i) T2 mapping: TR/TE=1000/9.47ms, EST=9.47ms, number of
echoes=5; ii) magnetization transfer MRI (MTI): 9.5µT saturation pulses at 4000Hz
off-resonance and 150ms pulse length, TR/TE=1500/16.9ms; iii) Diffusion tensor
MRI
(DTI): 2 non-diffusion-weighted images and 12 diffusion gradient directions at
b=420s/mm2, TR/TE=2300/22ms. All T2 mapping, MTI and DTI shared the
same slice geometry, with in-plane resolution=125×125µm2 and slice
thickness=1mm. Hydrogel was applied to keep the surface of the eyes moist
throughout the experiment. Multi-modal MRI parameters were measured near the
magic angle at about 55o to the main magnetic field (Bo),
and compared across age and IOP using 2-way ANOVA.Results
Figure
1 shows the multi-modal MRI of the central slice of a representative older porcine
eye at high intraocular pressure. When measuring near the magic angle (colored arrows
in Figure 1), quantitative comparisons in Figure 2 showed significant IOP effect
in T2 of cornea (ANOVA, p<0.001), whereas significant age effect was
observed in magnetization transfer ratio (MTR) of both sclera (ANOVA,
p<0.01) and cornea (ANOVA, p<0.01). Significant age effect was also
observed in axial, radial and mean diffusivities of the cornea in DTI in Figure
3 (ANOVA, p<0.05).Discussion
While
the baseline MTR in fibrous tissues may be primarily due to tissue collagen
concentration, changes in MTR may be due to (patho-)physiological changes in
crosslinking state and glycosaminoglycan concentration13. The
age-related changes in MTR of both sclera and cornea may be partly due to microscopic
structural remodeling such as crosslinking in the collagen-rich tissues14.
Aging and crosslinking may also reduce diffusion in collagen tissues leading to
the observed diffusivity changes in DTI of the cornea in older eyes15,16. Based on the current results, MTI and DTI appeared to be more sensitive than T2 mapping in detecting age-related
changes in the eye. Multi-modal ocular MRI detection of structural and
compositional tissue changes may offer a translational imaging means that allows
non-destructive measurements of
connective tissue properties in the eye, and may be used as a non-invasive tool
to guide vision preservation in age-related vision diseases. Conclusions
This
work demonstrates the sensitivity and specificity of multi-modal MRI on age-
and IOP-related changes in the porcine eyes. Multi-modal MRI may be useful for
evaluating the biomechanical and (patho-)physiological mechanisms in the
corneoscleral shell non-invasively and quantitatively.Acknowledgements
This work was supported by the National Institutes of Health
P30-EY008098, R01-EY023966, R01-EY025011 and UL1-TR000005 (Bethesda, Maryland);
BrightFocus Foundation G2013077 (Clarksburg, Maryland); Stimulating Pittsburgh
Research in Geroscience Pilot Project Program Award (Pittsburgh, PA); Eye and
Ear Foundation (Pittsburgh, Pennsylvania); and Research to Prevent Blindness
(New York, New York).References
[1]
Liu J, He X. Corneal stiffness affects IOP elevation during rapid volume change
in the eye. Invest Ophthalmol Vis Sci 2009;50(5):2224-2229.
[2]
Kimball EC, Nguyen C, Steinhart MR, et al. Experimental scleral cross-linking
increases glaucoma damage in a mouse model. Exp Eye Res 2014;128:129-140.
[3]
Coudrillier B, Pijanka J, Jefferys J, et al. Collagen structure and mechanical
properties of the human sclera: analysis for the effects of age. Journal of
biomechanical engineering 2015;137(4):041006.
[4]
Steinhart MR, Cone-Kimball E, Nguyen C, et al. Susceptibility to glaucoma
damage related to age and connective tissue mutations in mice. Exp Eye Res
2014;119:54-60.
[5] Grytz R, Fazio MA,
Libertiaux V, et al. Age-
and race-related differences in human scleral material properties. Invest
Ophthalmol Vis Sci 2014;55(12):8163-8172.
[6]
Coudrillier B, Pijanka JK, Jefferys JL, Goel A, Quigley HA, Boote C, Nguyen TD.
Glaucoma-related Changes in the Mechanical Properties and Collagen Micro-architecture
of the Human Sclera. PLoS One. 2015 Jul 10;10(7):e0131396.
[7]
Rada JA, Shelton S, Norton TT. The sclera and myopia. Experimental eye research
2006;82(2):185-200.
[8]
Molokhia SA, Jeong EK, Higuchi WI, Li SK. Transscleral iontophoretic and
intravitreal delivery of a macromolecule: study of ocular distribution in vivo
and postmortem with MRI. Exp Eye Res 2009;88(3):418-425.
[9]
Cassagne M, Laurent C, Rodrigues M, et al. Iontophoresis transcorneal delivery
technique for transepithelial corneal collagen crosslinking with riboflavin in
a rabbit model. Invest Ophthalmol Vis Sci 2014.
[10]
Nguyen TD, Ethier CR. Biomechanical assessment in models of glaucomatous optic
neuropathy. Exp Eye Res 2015.
[11]
Ko MW, Leung
LK, Lam DC, Leung CK. Characterization of corneal tangent modulus in vivo. Acta
ophthalmologica 2013;91(4):e263-269.
[12]
Ho LC, Sigal
IA, Jan NJ, et al. Magic angle-enhanced MRI of fibrous microstructures in
sclera and cornea with and without intraocular pressure loading. Invest
Ophthalmol Vis Sci 2014;55(9):5662-5672.
[13]
Laurent D, Wasvary J, Yin J, Rudin M, Pellas TC, O'Byrne E. Quantitative and
qualitative assessment of articular cartilage in the goat knee with
magnetization transfer imaging. Magn Reson Imaging 2001;19(10):1279-1286.
[14]
Gautieri A,
Passini FS, Silvan U, et al. Advanced glycation end-products: Mechanics of aged
collagen from molecule to tissue. Matrix Biol 2016.
[15]
Kokkonen HT,
Makela J, Kulmala KA, et al. Computed tomography detects changes in contrast
agent diffusion after collagen cross-linking typical to natural aging of
articular cartilage. Osteoarthritis Cartilage 2011;19(10):1190-1198.
[16]
Carpenter
DG. Biological aging as diffusion phenomenon. Bull Math Biophys
1969;31(3):487-504.