Association Between Osteoporosis and Age-Related Macular Degeneration: The Korea National Health and Nutrition Examination Survey

Yoo, Tae Keun; Kim, Soo Han; Kwak, Jay Jiyong; Kim, Hoon Yub; Rim, Tyler Hyungtaek

doi:10.1167/iovs.18-24059

Cited by 17 publications

(10 citation statements)

References 51 publications

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“…Currently, the estimate of osteoporosis is mainly by bone mineral density (BMD) measurement . However, this method has limitations since changes in bone density usually occur slightly . Thus, the exploration of more specific and sensitive biomarkers to identify osteoporosis is needed.…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive circular RNA profiling reveals circ_0002060 as a potential diagnostic biomarkers for osteoporosis

Huang

Xie

2019

J of Cellular Biochemistry

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Osteoporosis (OP) is a multifactorial and common bone disease worldwide. The clinical diagnosis and treatment of osteoporosis has limitations since changes in bone density occur slightly. Thus, it is critically needed to look for new biomarkers to identify and cure osteoporosis. CircRNAs are important molecular regulators that participate in various biological processes and present tremendous therapeutic potential. The role of circRNAs in osteoporosis remains largely unknown. Here, we explore the expression of circRNAs in osteoporosis using microarray analysis, and identify potential circRNAs associated with osteoporosis by quantitative reverse transcription‐polymerase chain reaction (qRT‐PCR) validation and statistical analysis in clinical samples. As a result, circ_0006873 and circ_0002060 were found to be significantly upregulated between nonosteoporotic controls and osteoporosis patients (n = 40, respectively). Pearson correlation analysis showed that the level of circ_0006873 and circ_0002060 were associated with the low‐bone mineral density in patients with osteoporosis. Furthermore, ROC analysis indicated that circ_0002060 showed potential diagnostic value for osteoporosis. Taken together results using bioinformatics, experimental analysis, and disease models, we revealed that circ_0002060 could be used as potential diagnostic biomarker and therapeutic target in osteoporosis

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Section: Introductionmentioning

confidence: 99%

“…5 However, this method has limitations since changes in bone density usually occur slightly. 6,7 Thus, the exploration of more specific and sensitive biomarkers to identify osteoporosis is needed.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive circular RNA profiling reveals circ_0002060 as a potential diagnostic biomarkers for osteoporosis

Huang

Xie

2019

J of Cellular Biochemistry

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“…Recently, different clinical studies have drawn the conclusion that low BMD is linked to the progression of AMD. A Korean cohort study showed that osteoporosis was associated with AMD in women while no association with other age-related eye diseases [ 8 ]. A multicenter study in the United States demonstrated that higher levels of BMD may be associated with a lower risk for AMD [ 9 ].…”

Section: Discussionmentioning

confidence: 99%

“…In addition, osteoporosis is also linked to eye diseases, such as age-related macular degeneration (AMD). There are numerous studies in the literature which have shown that low bone mineral density (BMD) was significantly associated with the progression of AMD [ 8 ], while higher levels of BMD may be associated with a lower risk for AMD [ 9 ]. However, the mechanism is still intriguing.…”

Section: Introductionmentioning

confidence: 99%

Choroidal Thickness in Relation to Bone Mineral Density with Swept-Source Optical Coherence Tomography

Jiang

Qian

et al. 2021

Journal of Ophthalmology

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Purpose. To assess whether bone mineral density, indicated by the lumbar X-ray scan, is related to changes in choroid thickness in normal subjects. Methods. This study included 355 patients with decreased bone mineral density and 355 age- and sex-matched healthy subjects. Lumbar BMD was measured by dual-energy X-ray absorptiometry (DXA). Choroidal thickness was measured using swept-source optical coherence tomography (SS-OCT). Blood pressure (BP), cholesterol, triglyceride (TG), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) were recorded on the same day. Results. There was a significant difference in average choroidal thickness between low BMD subjects and normal subjects p = 0.003 . The BP, cholesterol, triglyceride, HDL, and LDL showed no significant difference between the two groups. The correlations showed that average choroidal thicknesses were associated with BMD in the entire population (r = 0.125, p = 0.001 ). Conclusion. The choroidal thickness is thinner in low BMD populations compared with normal individuals. There is a strong positive correlation of choroidal thickness with BMD, regardless of age, sex, and other demographic and clinical factors.

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“…Females have longer life expectancies compared to those of males, regardless of their educational, economic, political, and health statuses [1,2]. Decreased estrogen production predisposes postmenopausal women to degenerative conditions, including cataracts and age-related macular degeneration [3][4][5][6][7][8]. In contrast, males are predisposed to open-angle glaucoma [9], diabetic retinopathy [10], and pigment dispersion glaucoma [11].…”

Section: Introductionmentioning

confidence: 99%

Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study

Betzler¹,

Yang²,

Thakur³

et al. 2021

JMIR Med Inform

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Background Deep learning algorithms have been built for the detection of systemic and eye diseases based on fundus photographs. The retina possesses features that can be affected by gender differences, and the extent to which these features are captured via photography differs depending on the retinal image field. Objective We aimed to compare deep learning algorithms’ performance in predicting gender based on different fields of fundus photographs (optic disc–centered, macula-centered, and peripheral fields). Methods This retrospective cross-sectional study included 172,170 fundus photographs of 9956 adults aged ≥40 years from the Singapore Epidemiology of Eye Diseases Study. Optic disc–centered, macula-centered, and peripheral field fundus images were included in this study as input data for a deep learning model for gender prediction. Performance was estimated at the individual level and image level. Receiver operating characteristic curves for binary classification were calculated. Results The deep learning algorithms predicted gender with an area under the receiver operating characteristic curve (AUC) of 0.94 at the individual level and an AUC of 0.87 at the image level. Across the three image field types, the best performance was seen when using optic disc–centered field images (younger subgroups: AUC=0.91; older subgroups: AUC=0.86), and algorithms that used peripheral field images had the lowest performance (younger subgroups: AUC=0.85; older subgroups: AUC=0.76). Across the three ethnic subgroups, algorithm performance was lowest in the Indian subgroup (AUC=0.88) compared to that in the Malay (AUC=0.91) and Chinese (AUC=0.91) subgroups when the algorithms were tested on optic disc–centered images. Algorithms’ performance in gender prediction at the image level was better in younger subgroups (aged <65 years; AUC=0.89) than in older subgroups (aged ≥65 years; AUC=0.82). Conclusions We confirmed that gender among the Asian population can be predicted with fundus photographs by using deep learning, and our algorithms’ performance in terms of gender prediction differed according to the field of fundus photographs, age subgroups, and ethnic groups. Our work provides a further understanding of using deep learning models for the prediction of gender-related diseases. Further validation of our findings is still needed.

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Association Between Osteoporosis and Age-Related Macular Degeneration: The Korea National Health and Nutrition Examination Survey

Cited by 17 publications

References 51 publications

Comprehensive circular RNA profiling reveals circ_0002060 as a potential diagnostic biomarkers for osteoporosis

Comprehensive circular RNA profiling reveals circ_0002060 as a potential diagnostic biomarkers for osteoporosis

Choroidal Thickness in Relation to Bone Mineral Density with Swept-Source Optical Coherence Tomography

Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study

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