248 research outputs found

    Evaluating Outer Segment Length as A Surrogate Measure of Peak Foveal Cone Density

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    Adaptive optics (AO) imaging tools enable direct visualization of the cone photoreceptor mosaic, which facilitates quantitative measurements such as cone density. However, in many individuals, low image quality or excessive eye movements precludes making such measures. As foveal cone specialization is associated with both increased density and outer segment (OS) elongation, we sought to examine whether OS length could be used as a surrogate measure of foveal cone density. The retinas of 43 subjects (23 normal and 20 albinism; aged 6–67 years) were examined. Peak foveal cone density was measured using confocal adaptive optics scanning light ophthalmoscopy (AOSLO), and OS length was measured using optical coherence tomography (OCT) and longitudinal reflectivity profile-based approach. Peak cone density ranged from 29,200 to 214,000 cones/mm2(111,700 ± 46,300 cones/mm2); OS length ranged from 26.3 to 54.5 μm (40.5 ± 7.7 μm). Density was significantly correlated with OS length in albinism (p \u3c 0.0001), but not normals (p = 0.99). A cubic model of density as a function of OS length was created based on histology and optimized to fit the albinism data. The model includes triangular cone packing, a cylindrical OS with a fixed volume of 136.6 μm3, and a ratio of OS to inner segment width that increased linearly with increasing OS length (R2 = 0.72). Normal subjects showed no apparent relationship between cone density and OS length. In the absence of adequate AOSLO imagery, OS length may be used to estimate cone density in patients with albinism. Whether this relationship exists in other patient populations with foveal hypoplasia (e.g., premature birth, aniridia, isolated foveal hypoplasia) remains to be seen

    Assessing the Spatial Relationship Between Fixation and Foveal Specializations

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    Increased cone photoreceptor density, an avascular zone (FAZ), and the displacement of inner retinal neurons to form a pit are distinct features of the human fovea. As the fovea provides the majority of our vision, appreciating how these anatomical specializations are related is important for understanding foveal development, normal visual function, and retinal disease. Here we evaluated the relationship between these specializations and their location relative to the preferred retinal locus of fixation (PRL). We measured foveal pit volume, FAZ area, peak cone density, and location of the PRL in 22 subjects with normal vision using optical coherence tomography and adaptive optics scanning light ophthalmoscopy. Foveal pit volume was positively correlated with FAZ area; however, peak cone density was not correlated with pit volume. In addition, there was no systematic offset of the location of any of these specializations relative to PRL, and there was no correlation between the magnitude of the offset from PRL and the corresponding foveal specialization measurements (pit volume, FAZ area, peak cone density). The standard deviation of our PRL measurements was consistent with previous measurements of fixational stability. These data provide insight into the sequence of events during foveal development and may have implications for visual function and retinal disease

    Strategies for Enhancing Diverse Mentoring Relationships in STEM Fields

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    Developing effective opposite-race mentorships in the STEM fields may contribute to minority student retention. Paying attention to the dynamics of race within the protégé’s professional and psychosocial growth may positively influence academic advancement and professional longevity. The current paper will provide mentors with a suggested mentorship style and self-assessment activities to help uncover their typical broaching style when exploring racial issues with protégés. The evaluations provided are not diagnostic; rather, the activities afford mentors a self-reflection opportunity, which should contribute to the mentor’s own growth, and could positively impact the development of a successful, cross-race mentorship

    GMO vs. Non-GMO: Comparing the Addictiveness of Corn in Rats

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    Genetically modified organisms (GMOs) refer to organisms whose DNA has been altered to produce a certain characteristic. GMOs account for a significant proportion of the crops produced in the United States. Specifically, GMO corn accounted for approximately 88% of all corn grown for human and animal consumption in the year 2012. Previously conducted studies have not uniformly demonstrated the safe use of GMO corn, and no studies have been conducted to analyze the addictiveness of GMO corn. The idea of addiction refers to more than just a physical dependence, but to a psychological dependence on something as well. Addiction is sometimes accompanied by compulsive, uncontrollable behaviors that can interfere with other activities and which increase in intensity as there is an increase in access to the substance. Because food addiction is implicated in the prevalence of obesity and its associated pathologies, identifying addictiveness in GMO products may lead to changes in crop production, food production, and use. This study will compare the addictive behaviors of rats who are fed GMO corn. The rats will be randomly divided into three groups. Each group will be fed a diet containing a portion of corn consisting of 0%, 50%, or 100% GMO corn, respectively, for 28 days. After the 28 day treatment period, the rats will be fed a corn-free diet for 10 days. The assessments will include both cage food consumption and body weight measurements taken during both the treatment and withdrawal periods, and behavioral symptoms observed in an open field test during the withdrawal period. The presence of withdrawal indicators will be scored for each rat. The scores will then be compared between the groups using a repeated measures ANOVA test

    GMO vs. Non-GMO: Comparing the Addictiveness of Corn in Rats

    Get PDF
    Genetically modified organisms (GMOs) refer to organisms whose DNA has been altered to produce a certain characteristic. GMOs account for a significant proportion of the crops produced in the United States. Specifically, GMO corn accounted for approximately 88% of all corn grown for human and animal consumption in the year 2012. Previously conducted studies have not uniformly demonstrated the safe use of GMO corn, and no studies have been conducted analyzing the addictiveness of GMO corn. The idea of addiction refers to more than just a physical dependence, but to a psychological dependence on something as well. It is sometimes accompanied by compulsive, uncontrollable behaviors that can interfere with other activities and which increase in intensity as there is an increase in access to the substance. Because food addiction is implicated in the prevalence of obesity and its associated pathologies, identifying addictiveness in GMO products may lead to changes in crop production, food production, and use. This study will compare the addictive behaviors of rats who are fed GMO corn. The rats will be randomly divided into three groups. Each group will be fed a diet containing a portion of corn consisting of 0%, 50%, or 100% GMO corn, respectively, for 28 days. After the 28 day treatment period, the rats will be fed a corn-free diet for 10 days. The assessments will include both cage food consumption and body weight measurements taken during both the treatment and withdrawal periods, and behavioral symptoms observed in an open field test during the withdrawal period. The presence of withdrawal indicators will be scored for each rat, and the scores will be compared between the groups using a repeated measures ANOVA test

    Relationship Between Foveal Cone Specialization and Pit Morphology in Albinism

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    Purpose.Albinism is associated with disrupted foveal development, though intersubject variability is becoming appreciated. We sought to quantify this variability, and examine the relationship between foveal cone specialization and pit morphology in patients with a clinical diagnosis of albinism. Methods. We recruited 32 subjects with a clinical diagnosis of albinism. DNA was obtained from 25 subjects, and known albinism genes were analyzed for mutations. Relative inner and outer segment (IS and OS) lengthening (fovea-to-perifovea ratio) was determined from manually segmented spectral domain-optical coherence tomography (SD-OCT) B-scans. Foveal pit morphology was quantified for eight subjects from macular SD-OCT volumes. Ten subjects underwent imaging with adaptive optics scanning light ophthalmoscopy (AOSLO), and cone density was measured. Results. We found mutations in 22 of 25 subjects, including five novel mutations. All subjects lacked complete excavation of inner retinal layers at the fovea, though four subjects had foveal pits with normal diameter and/or volume. Peak cone density and OS lengthening were variable and overlapped with that observed in normal controls. A fifth hyper-reflective band was observed in the outer retina on SD-OCT in the majority of the subjects with albinism. Conclusions. Foveal cone specialization and pit morphology vary greatly in albinism. Normal cone packing was observed in the absence of a foveal pit, suggesting a pit is not required for packing to occur. The degree to which retinal anatomy correlates with genotype or visual function remains unclear, and future examination of larger patient groups will provide important insight on this issue

    The Reliability of Parafoveal Cone Density Measurements

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    Background Adaptive optics scanning light ophthalmoscopy (AOSLO) enables direct visualisation of the cone mosaic, with metrics such as cone density and cell spacing used to assess the integrity or health of the mosaic. Here we examined the interobserver and inter-instrument reliability of cone density measurements. Methods For the interobserver reliability study, 30 subjects with no vision-limiting pathology were imaged. Three image sequences were acquired at a single parafoveal location and aligned to ensure that the three images were from the same retinal location. Ten observers used a semiautomated algorithm to identify the cones in each image, and this was repeated three times for each image. To assess inter-instrument reliability, 20 subjects were imaged at eight parafoveal locations on one AOSLO, followed by the same set of locations on the second AOSLO. A single observer manually aligned the pairs of images and used the semiautomated algorithm to identify the cones in each image. Results Based on a factorial study design model and a variance components model, the interobserver study\u27s largest contribution to variability was the subject (95.72%) while the observer\u27s contribution was only 1.03%. For the inter-instrument study, an average cone density intraclass correlation coefficient (ICC) of between 0.931 and 0.975 was calculated. Conclusions With the AOSLOs used here, reliable cone density measurements can be obtained between observers and between instruments. Additional work is needed to determine how these results vary with differences in image quality

    Cone photoreceptor structure in patients with x-linked cone dysfunction and red-green color vision deficiency

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    PURPOSE: Mutations in the coding sequence of the L and M opsin genes are often associated with X-linked cone dysfunction (such as Bornholm Eye Disease, BED), though the exact color vision phenotype associated with these disorders is variable. We examined individuals with L/M opsin gene mutations to clarify the link between color vision deficiency and cone dysfunction. METHODS: We recruited 17 males for imaging. The thickness and integrity of the photoreceptor layers were evaluated using spectral-domain optical coherence tomography. Cone density was measured using high-resolution images of the cone mosaic obtained with adaptive optics scanning light ophthalmoscopy. The L/M opsin gene array was characterized in 16 subjects, including at least one subject from each family. RESULTS: There were six subjects with the LVAVA haplotype encoded by exon 3, seven with LIAVA, two with the Cys203Arg mutation encoded by exon 4, and two with a novel insertion in exon 2. Foveal cone structure and retinal thickness was disrupted to a variable degree, even among related individuals with the same L/M array. CONCLUSIONS: Our findings provide a direct link between disruption of the cone mosaic and L/M opsin variants. We hypothesize that, in addition to large phenotypic differences between different L/M opsin variants, the ratio of expression of first versus downstream genes in the L/M array contributes to phenotypic diversity. While the L/M opsin mutations underlie the cone dysfunction in all of the subjects tested, the color vision defect can be caused either by the same mutation or a gene rearrangement at the same locus
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