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Peer-reviewedCC BY-NC-ND 4.0NPJ Science of Food

Discrepancies between instant and filtered coffee in biological aging: evidence from the UK Biobank

4 affiliations
  1. 1Department of Nutrition and Food Hygiene, School of Public Health, Chongqing Medical University, Chongqing, China
  2. 2Research Centre for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, China
  3. 3Department of Nutrition Food and Children’s Health, School of Public Health, Shandong Second Medical University, Weifang, China
  4. 4Nutrition Innovation Platform-Sichuan and Chongqing, School of Public Health, Chongqing Medical University, Chongqing, China

Abstract

No prior studies have specifically investigated the association between coffee brewing types and biological aging. The study included 49,414 participants from the UK Biobank. Biological aging was quantified by three established metrics: relative leukocyte telomere length (rLTL) measured by qPCR, Klemera-Doubal method biological age acceleration (KDM-BA Accel), and PhenoAge acceleration (PhenoAge Accel) derived from clinical biomarkers. In multivariable adjustment model, compared with drinking no coffee, instant coffee consumption was associated with greater KDM-BA Accel (0–1 cup per day: β = 0.050 [95% confidence interval (CI), −0.072 to 0.173]; 1–3 cups per day: β = 0.092 [−0.025 to 0.209]; >3 cups per day: β = 0.166 [0.006 to 0.326]; P-trend = 0.002). The negative association between filtered coffee consumption and KDM-BA Accel was observed (0–1 cup per day: β = −0326 [−0.437 to −0.215]; 1–3 cups per day: β = −0.762 [−0.879 to −0.646]; >3 cups per day: β = −1.118 [−1.415 to −0.820]; P-trend < 0.001). These associations were not significant for KDM-BA Accel and other coffee types. PhenoAge Accel and rLTL showed similar associations. Mediation analysis revealed that basal metabolic rate (BMR), glycoprotein acetylation (GlycA), and/or Cystatin C mediated the effects of instant and filtered coffee on KDM-BA and PhenoAge accelerations, but not on rLTL. The largest mediated proportion was observed for GlycA, accounting for 34.62% of the effect of instant coffee on KDM-BA Accel. Filtered coffee is associated with a reduced risk of biological aging, potentially mediated by its effects on BMR, GlycA, and Cystatin C. In contrast, instant coffee is linked to an accelerated risk of aging.

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BibTeX
@article{wang2026discrepancies,
  title = {{Discrepancies between instant and filtered coffee in biological aging: evidence from the UK Biobank}},
  author = {Yiming Wang and Ping Xiang and Zhibing Liu and Zhipeng Li and Hui Hu and Yuequn Yao and Jibin Li and Peng Wang and Dan Shi},
  journal = {NPJ Science of Food},
  year = {2026},
  month = jul,
  doi = {10.1038/s41538-026-00988-0},
  url = {https://doi.org/10.1038/s41538-026-00988-0},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Discrepancies between instant and filtered coffee in biological aging: evidence from the UK Biobank
AU  - Yiming Wang
AU  - Ping Xiang
AU  - Zhibing Liu
AU  - Zhipeng Li
AU  - Hui Hu
AU  - Yuequn Yao
AU  - Jibin Li
AU  - Peng Wang
AU  - Dan Shi
PY  - 2026
DA  - 2026/07/15
JO  - NPJ Science of Food
DO  - 10.1038/s41538-026-00988-0
UR  - https://doi.org/10.1038/s41538-026-00988-0
AB  - No prior studies have specifically investigated the association between coffee brewing types and biological aging. The study included 49,414 participants from the UK Biobank. Biological aging was quantified by three established metrics: relative leukocyte telomere length (rLTL) measured by qPCR, Klemera-Doubal method biological age acceleration (KDM-BA Accel), and PhenoAge acceleration (PhenoAge Accel) derived from clinical biomarkers. In multivariable adjustment model, compared with drinking no coffee, instant coffee consumption was associated with greater KDM-BA Accel (0–1 cup per day: β = 0.050 [95% confidence interval (CI), −0.072 to 0.173]; 1–3 cups per day: β = 0.092 [−0.025 to 0.209]; >3 cups per day: β = 0.166 [0.006 to 0.326]; P-trend = 0.002). The negative association between filtered coffee consumption and KDM-BA Accel was observed (0–1 cup per day: β = −0326 [−0.437 to −0.215]; 1–3 cups per day: β = −0.762 [−0.879 to −0.646]; >3 cups per day: β = −1.118 [−1.415 to −0.820]; P-trend < 0.001). These associations were not significant for KDM-BA Accel and other coffee types. PhenoAge Accel and rLTL showed similar associations. Mediation analysis revealed that basal metabolic rate (BMR), glycoprotein acetylation (GlycA), and/or Cystatin C mediated the effects of instant and filtered coffee on KDM-BA and PhenoAge accelerations, but not on rLTL. The largest mediated proportion was observed for GlycA, accounting for 34.62% of the effect of instant coffee on KDM-BA Accel. Filtered coffee is associated with a reduced risk of biological aging, potentially mediated by its effects on BMR, GlycA, and Cystatin C. In contrast, instant coffee is linked to an accelerated risk of aging.
SN  - 2396-8370
ER  -