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Dietary rhythms and biological aging risk across multiple organs
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  • Published: 19 March 2026

Dietary rhythms and biological aging risk across multiple organs

  • Luyan Zheng1,2,3 na1,
  • Zhilong Jia4 na1,
  • Shuanghui Gong1,
  • Tian Zheng1,2,
  • Yizhou Zhuang1,
  • Lan Lin1,5,
  • Qianwen Li1,5,
  • Fan Lin1,2,3 &
  • …
  • Meixia Ren1,3 

npj Science of Food , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Diseases
  • Health care
  • Medical research
  • Physiology
  • Risk factors

Abstract

The effects of dietary rhythms on organ-specific biological aging remain unclear. This study analyzed 14,012 adults from NHANES to assess associations between dietary rhythms and biological aging of the body, heart, liver, and kidneys. Earlier last meals, specifically before 9 p.m., were linked to lower aging risks for the body, heart, and liver but not kidneys. The strongest protective effects were seen with meals between 3 and 5 p.m. for the body and heart, and 5–7 p.m. for the liver. Conversely, later first meals and longer feeding durations (>8 h) linked to higher aging risks. These associations were modified by age, gender, disease status, caloric intake and dietary quality, with effects more pronounced in individuals over 40, males, and those without existing diseases or with low calorie intake. Delayed first and earlier last meal remained significantly associated with body and liver aging in the healthy diet group, whereas heart aging showed stronger associations with meal time in the unhealthy diet group. This study revealed optimal meal timing and duration differ for biological aging across different organs, ages, genders, disease status, energy intake, and dietary quality, highlighting a critical food-nutrient-timing synergy, and the need for personalized nutritional guidance and population-specific dietary strategies.

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Data availability

Publicly available datasets were analyzed in this study. The data can be found here: https://www.cdc.gov/nchs/nhanes/index.htm.

Code availability

The underlying code for this study is not publicly available but may be made available to qualified researchers on reasonable request from the corresponding author.

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Acknowledgements

We are grateful to the staff and the participants of the NHANES study for their valuable contributions. We appreciate Professors Zheng Lin and Jingrong Shi for their statistical analysis expertise. This work was supported by the National Natural Sciences Foundation of China (Grant number: 81800364); Fujian Research and Training Grants for Young and Middle-aged Leaders in Healthcare; Fujian Provincial Health Commission Young and Middle-aged Key Talent Training Program (Grant number: 2025GGA003); the Natural Science Foundation of Fujian (Grant number 2025J01081).

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  1. These authors contributed equally: Luyan Zheng, Zhilong Jia.

Authors and Affiliations

  1. Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China

    Luyan Zheng, Shuanghui Gong, Tian Zheng, Yizhou Zhuang, Lan Lin, Qianwen Li, Fan Lin & Meixia Ren

  2. Department of Clinical Nutrition, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China

    Luyan Zheng, Tian Zheng & Fan Lin

  3. Department of Geriatric Medicine, Fujian Provincial Hospital, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, China

    Luyan Zheng, Fan Lin & Meixia Ren

  4. Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China

    Zhilong Jia

  5. Key Laboratory of Medical Big Data Project of Fujian Province, Fuzhou, China

    Lan Lin & Qianwen Li

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Contributions

Meixia Ren: Conceptualization, Methodology, Writing—Review & Editing, Supervision, Project administration, Funding acquisition. Fan Lin: Conceptualization, Methodology, Writing—Review & Editing, Supervision. Luyan Zheng: Software, Formal analysis, Investigation, Data curation, Writing- Original draft preparation, Visualization. Zhilong Jia: Visualization, Software, Formal analysis, Data curation, Writing—Original draft preparation, Investigation. Shuanghui Gong, Tian Zheng, Yizhou Zhuang, Lan Lin, Qianwen Li: Investigation.

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Correspondence to Fan Lin or Meixia Ren.

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Zheng, L., Jia, Z., Gong, S. et al. Dietary rhythms and biological aging risk across multiple organs. npj Sci Food (2026). https://doi.org/10.1038/s41538-026-00799-3

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  • Received: 23 December 2025

  • Accepted: 04 March 2026

  • Published: 19 March 2026

  • DOI: https://doi.org/10.1038/s41538-026-00799-3

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