Photoreceptor metabolic window unveils eye–body interactions
Abstract Photoreceptors are specialized neurons at the core of the retina’s functionality, with optical accessibility and exceptional sensitivity to systemic metabolic stresses. Here we show the ability of risk-free, in vivo photoreceptor assessment as a window into systemic health and identify shar...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-55035-x |
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| author | Shaopeng Yang Zhuoyao Xin Weijing Cheng Pingting Zhong Riqian Liu Ziyu Zhu Lisa Zhuoting Zhu Xianwen Shang Shida Chen Wenyong Huang Lei Zhang Wei Wang |
| author_facet | Shaopeng Yang Zhuoyao Xin Weijing Cheng Pingting Zhong Riqian Liu Ziyu Zhu Lisa Zhuoting Zhu Xianwen Shang Shida Chen Wenyong Huang Lei Zhang Wei Wang |
| author_sort | Shaopeng Yang |
| collection | DOAJ |
| description | Abstract Photoreceptors are specialized neurons at the core of the retina’s functionality, with optical accessibility and exceptional sensitivity to systemic metabolic stresses. Here we show the ability of risk-free, in vivo photoreceptor assessment as a window into systemic health and identify shared metabolic underpinnings of photoreceptor degeneration and multisystem health outcomes. A thinner photoreceptor layer thickness is significantly associated with an increased risk of future mortality and 13 multisystem diseases, while systematic analyses of circulating metabolomics enable the identification of 109 photoreceptor-related metabolites, which in turn elevate or reduce the risk of these health outcomes. To translate these insights into a practical tool, we developed an artificial intelligence (AI)-driven photoreceptor metabolic window framework and an accompanying interpreter that comprehensively captures the metabolic landscape of photoreceptor–systemic health linkages and simultaneously predicts 16 multisystem health outcomes beyond established approaches while retaining interpretability. Our work, replicated across cohorts of diverse ethnicities, reveals the potential of photoreceptors to inform systemic health and advance a multisystem perspective on human health by revealing eye–body connections and shared metabolic influences. |
| format | Article |
| id | doaj-art-f36874706c5b47f99d9954b71e3a0bc6 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-f36874706c5b47f99d9954b71e3a0bc62025-01-19T12:32:06ZengNature PortfolioNature Communications2041-17232025-01-0116111610.1038/s41467-024-55035-xPhotoreceptor metabolic window unveils eye–body interactionsShaopeng Yang0Zhuoyao Xin1Weijing Cheng2Pingting Zhong3Riqian Liu4Ziyu Zhu5Lisa Zhuoting Zhu6Xianwen Shang7Shida Chen8Wenyong Huang9Lei Zhang10Wei Wang11State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Study Center for Ocular DiseasesDepartment of Biomedical Engineering, Johns Hopkins UniversityState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Study Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Study Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Study Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Study Center for Ocular DiseasesCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of MelbourneCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of MelbourneState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Study Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Study Center for Ocular DiseasesClinical Medical Research Center, Children’s Hospital of Nanjing Medical UniversityState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Study Center for Ocular DiseasesAbstract Photoreceptors are specialized neurons at the core of the retina’s functionality, with optical accessibility and exceptional sensitivity to systemic metabolic stresses. Here we show the ability of risk-free, in vivo photoreceptor assessment as a window into systemic health and identify shared metabolic underpinnings of photoreceptor degeneration and multisystem health outcomes. A thinner photoreceptor layer thickness is significantly associated with an increased risk of future mortality and 13 multisystem diseases, while systematic analyses of circulating metabolomics enable the identification of 109 photoreceptor-related metabolites, which in turn elevate or reduce the risk of these health outcomes. To translate these insights into a practical tool, we developed an artificial intelligence (AI)-driven photoreceptor metabolic window framework and an accompanying interpreter that comprehensively captures the metabolic landscape of photoreceptor–systemic health linkages and simultaneously predicts 16 multisystem health outcomes beyond established approaches while retaining interpretability. Our work, replicated across cohorts of diverse ethnicities, reveals the potential of photoreceptors to inform systemic health and advance a multisystem perspective on human health by revealing eye–body connections and shared metabolic influences.https://doi.org/10.1038/s41467-024-55035-x |
| spellingShingle | Shaopeng Yang Zhuoyao Xin Weijing Cheng Pingting Zhong Riqian Liu Ziyu Zhu Lisa Zhuoting Zhu Xianwen Shang Shida Chen Wenyong Huang Lei Zhang Wei Wang Photoreceptor metabolic window unveils eye–body interactions Nature Communications |
| title | Photoreceptor metabolic window unveils eye–body interactions |
| title_full | Photoreceptor metabolic window unveils eye–body interactions |
| title_fullStr | Photoreceptor metabolic window unveils eye–body interactions |
| title_full_unstemmed | Photoreceptor metabolic window unveils eye–body interactions |
| title_short | Photoreceptor metabolic window unveils eye–body interactions |
| title_sort | photoreceptor metabolic window unveils eye body interactions |
| url | https://doi.org/10.1038/s41467-024-55035-x |
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