PURPOSE: To evaluate early diabetes-induced changes in retinal thickness and microvasculature in a type 2 diabetic mouse model by using optical coherence tomography (OCT)/optical microangiography (OMAG). METHODS: Twenty-two-week-old obese (OB) BTBR mice (n = 10) and wild-type (WT) control mice (n = 10) were imaged. Three-dimensional (3D) data volumes were captured with spectral domain OCT using an ultrahigh-sensitive OMAG scanning protocol for 3D volumetric angiography of the retina and dense A-scan protocol for measurement of the total retinal blood flow (RBF) rate. The thicknesses of the nerve fiber layer (NFL) and that of the NFL to the inner plexiform layer (IPL) were measured and compared between OB and WT mice. The linear capillary densities within intermediate and deep capillary layers were determined by the number of capillaries crossing a 500-μm line. The RBF rate was evaluated using an en face Doppler approach. These quantitative measurements were compared between OB and WT mice. RESULTS: The retinal thickness of the NFL to IPL was significantly reduced in OB mice (P < 0.01) compared to that in WT mice, whereas the NFL thickness between the two was unchanged. 3D depth-resolved OMAG angiography revealed the first in vivo 3D model of mouse retinal microcirculation. Although no obvious differences in capillary vessel densities of the intermediate and deep capillary layers were detected between normal and OB mice, the total RBF rate was significantly lower (P < 0.05) in OB mice than in WT mice. CONCLUSIONS: We conclude that OB BTBR mice have significantly reduced NFL-IPL thicknesses and total RBF rates compared with those of WT mice, as imaged by OCT/OMAG. OMAG provides an unprecedented capability for high-resolution depth-resolved imaging of mouse retinal vessels and blood flow that may play a pivotal role in providing a noninvasive method for detecting early microvascular changes in patients with diabetic retinopathy.
PURPOSE: To evaluate early diabetes-induced changes in retinal thickness and microvasculature in a type 2 diabeticmouse model by using optical coherence tomography (OCT)/optical microangiography (OMAG). METHODS: Twenty-two-week-old obese (OB) BTBR mice (n = 10) and wild-type (WT) control mice (n = 10) were imaged. Three-dimensional (3D) data volumes were captured with spectral domain OCT using an ultrahigh-sensitive OMAG scanning protocol for 3D volumetric angiography of the retina and dense A-scan protocol for measurement of the total retinal blood flow (RBF) rate. The thicknesses of the nerve fiber layer (NFL) and that of the NFL to the inner plexiform layer (IPL) were measured and compared between OB and WT mice. The linear capillary densities within intermediate and deep capillary layers were determined by the number of capillaries crossing a 500-μm line. The RBF rate was evaluated using an en face Doppler approach. These quantitative measurements were compared between OB and WT mice. RESULTS: The retinal thickness of the NFL to IPL was significantly reduced in OBmice (P < 0.01) compared to that in WT mice, whereas the NFL thickness between the two was unchanged. 3D depth-resolved OMAG angiography revealed the first in vivo 3D model of mouse retinal microcirculation. Although no obvious differences in capillary vessel densities of the intermediate and deep capillary layers were detected between normal and OBmice, the total RBF rate was significantly lower (P < 0.05) in OBmice than in WT mice. CONCLUSIONS: We conclude that OB BTBR mice have significantly reduced NFL-IPL thicknesses and total RBF rates compared with those of WT mice, as imaged by OCT/OMAG. OMAG provides an unprecedented capability for high-resolution depth-resolved imaging of mouse retinal vessels and blood flow that may play a pivotal role in providing a noninvasive method for detecting early microvascular changes in patients with diabetic retinopathy.
Authors: Susanne M Clee; Brian S Yandell; Kathryn M Schueler; Mary E Rabaglia; Oliver C Richards; Summer M Raines; Edward A Kabara; Daniel M Klass; Eric T-K Mui; Donald S Stapleton; Mark P Gray-Keller; Matthew B Young; Jonathan P Stoehr; Hong Lan; Igor Boronenkov; Philipp W Raess; Matthew T Flowers; Alan D Attie Journal: Nat Genet Date: 2006-05-07 Impact factor: 38.330
Authors: G T Feke; S M Buzney; H Ogasawara; N Fujio; D G Goger; N P Spack; K H Gabbay Journal: Invest Ophthalmol Vis Sci Date: 1994-06 Impact factor: 4.799
Authors: Michel Paques; Ramin Tadayoni; Richard Sercombe; Pierre Laurent; Olivier Genevois; Alain Gaudric; Eric Vicaut Journal: Invest Ophthalmol Vis Sci Date: 2003-11 Impact factor: 4.799
Authors: Wendy Leskova; Megan N Watts; Patsy R Carter; Randa S Eshaq; Norman R Harris Journal: Invest Ophthalmol Vis Sci Date: 2013-04-26 Impact factor: 4.799
Authors: Remya Robinson; Veluchamy A Barathi; Shyam S Chaurasia; Tien Y Wong; Timothy S Kern Journal: Dis Model Mech Date: 2012-07 Impact factor: 5.758
Authors: Basanta Bhaduri; Ryan L Shelton; Ryan M Nolan; Lucas Hendren; Alexandra Almasov; Leanne T Labriola; Stephen A Boppart Journal: J Biophotonics Date: 2017-06-21 Impact factor: 3.207
Authors: Courtney R Giordano; Robin Roberts; Kendra A Krentz; David Bissig; Deepa Talreja; Ashok Kumar; Stanley R Terlecky; Bruce A Berkowitz Journal: Invest Ophthalmol Vis Sci Date: 2015-05 Impact factor: 4.799
Authors: Lei Zhang; Weiye Song; Ji Yi; Di Shao; Sui Zhang; Manishi Desai; Steven Ness; Sayon Roy Journal: Biomed Opt Express Date: 2017-12-04 Impact factor: 3.732
Authors: Stanislava Fialová; Marco Augustin; Martin Glösmann; Tanja Himmel; Sabine Rauscher; Marion Gröger; Michael Pircher; Christoph K Hitzenberger; Bernhard Baumann Journal: Biomed Opt Express Date: 2016-03-24 Impact factor: 3.732