Deep learning to assess erythritol in zebrafish development, circadian rhythm, and cardiovascular disease risk
Abstract Erythritol is one of the most widely used artificial sweeteners, yet the potential risks remain a subject of debate. In this experiment, the concentration of erythritol was determined according to pre-experiments (3, 5, 7 mg/mL), and exposure was initiated at 2 h post-fertilization of embry...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | npj Science of Food |
| Online Access: | https://doi.org/10.1038/s41538-025-00512-w |
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| Summary: | Abstract Erythritol is one of the most widely used artificial sweeteners, yet the potential risks remain a subject of debate. In this experiment, the concentration of erythritol was determined according to pre-experiments (3, 5, 7 mg/mL), and exposure was initiated at 2 h post-fertilization of embryonic development until the end of 120 hpf. Here, we employed a deep learning approach to uncover the time and tempo aspects of embryonic development. Erythritol may contribute to motor behavioral impairments in larvae by delaying the development of the swim bladder. Furthermore, erythritol causes circadian rhythm disorder and affects the expression of the rev-erba, which leads to thrombus formation. The formation of thrombi is accompanied by oxidative stress and inflammation. The above findings contribute to the understanding of the effects of erythritol on zebrafish development, neurobehavior, and cardiovascular disease and provide a basis for the safety of erythritol as an artificial sweetener. |
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| ISSN: | 2396-8370 |