Latent retinal structural patterns with aging

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Kei Sano, Kota Fukai, Ryo Terauchi, Yuko Furuya, Shoko Nakazawa, Kosuke Sakai, Toru Honda, Yuya Watanabe, Takeshi Hayashi, Toru Nakagawa, Tadashi Nakano, Masayuki Tatemichi
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Abstract

Optical coherence tomography (OCT) is an efficient tool for non-invasively evaluating retinal structures. Retinal thinning changes assessed using OCT are recognized as potential biomarkers for systemic conditions such as Alzheimer’s disease, Parkinson’s disease, and chronic kidney disease. However, age-related retinal changes remain largely unexplored, complicating the differentiation between physiological and pathological alterations. Here, we introduced a highly granular approach to assess age-related spatial changes in the inner retina using latent retinal archetypes, identifying 36 retinal archetypes of macula and peripapillary sector images from 189,387 OCTs of 22,494 individuals. Subsequently, we evaluated the associations between these archetypes and age; age-related archetypes are characterized by total or superior thinning in the macula sector. Among individuals with myopia, the inferior thinning pattern in the macula ganglion cell–inner plexiform layer was associated with aging. The age-related effects in the peripapillary sector were primarily reflected in the shape of retinal artery trajectories. Overall, latent retinal archetypes would offer new avenues for the effective utilization of retinal biomarkers in age-related diseases.

Abstract Image

随年龄增长的潜在视网膜结构模式
光学相干断层扫描(OCT)是非侵入性评估视网膜结构的有效工具。使用OCT评估视网膜变薄变化被认为是系统性疾病(如阿尔茨海默病、帕金森病和慢性肾脏疾病)的潜在生物标志物。然而,与年龄相关的视网膜变化在很大程度上仍未被探索,使生理和病理改变之间的区分复杂化。在这里,我们引入了一种高度颗粒化的方法,利用潜在的视网膜原型来评估与年龄相关的内视网膜空间变化,从22,494名个体的189,387个oct中识别出36个黄斑和乳头周围区图像的视网膜原型。随后,我们评估了这些原型与年龄之间的关系;与年龄相关的原型特征是黄斑部分完全或高度变薄。在近视个体中,黄斑神经节细胞-内丛状层的下变薄模式与衰老有关。年龄相关的影响在乳头周围部门主要反映在视网膜动脉轨迹的形状。总之,潜在的视网膜原型将为有效利用视网膜生物标志物在年龄相关疾病中的应用提供新的途径。
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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