Evidence map›Paper›PMID 41315249›Full record

ArticleNPJ science of food2025

Distinct effects of tea types and components on circadian rhythm entrainment and clock gene regulation.

Jiayang Zhang, Haonan Li, Changxiao Ma, Shuying Zhang, Guanlin Wu, Bingyi Shen, Bin Chen, Lihong Chen, Qihui Zhang, Guangrui Yang

Abstract read
In one paragraph

Article in NPJ science of food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jiayang Zhang *Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Haonan Li *School of Bioengineering, Dalian University of Technology, Dalian, China.
Changxiao MaSchool of Bioengineering, Dalian University of Technology, Dalian, China.
Shuying ZhangSchool of Clinical Medicine, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Guanlin WuSchool of Clinical Medicine, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Bingyi ShenSchool of Bioengineering, Dalian University of Technology, Dalian, China.
Bin ChenSchool of Nursing and Health Management, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Lihong ChenHealth Science Center, East China Normal University, Shanghai, China.
Qihui ZhangDepartment of Neurology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China. qihuizhang@vip.sina.com.
Guangrui YangShanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China. guangrui.yang@hotmail.com.

Funding

National High Level Chinese Medicine Hospital Clinical Research Funding Not receivedNational Natural Science Foundation of China 32171165
6 · The paper itself

Abstract

Circadian disruption is closely associated with sleep and metabolic disorders, yet effective interventions remain limited. As a widely consumed beverage, tea contains diverse bioactive compounds with potential chronobiological effects. Here, we systematically compared six major tea types (oolong, dark, green, black, yellow, and white) and four representative components (theanine, theophylline, epigallocatechin gallate [EGCG], and tea polyphenols) in animal and cellular models of circadian disruption. In mice, white tea markedly accelerated re-entrainment to 6-hour phase advances, while dark and black tea improved adaptation to 6-hour phase delays. Across tissues, dark tea exerted the most prominent modulation of core clock genes. In vitro, tea polyphenols, theophylline, and EGCG prolonged circadian periods in cells and enhanced adaptation to long cycles. Collectively, our findings reveal distinct and context-dependent effects of tea and its components on circadian entrainment and gene regulation, highlighting their potential as natural modulators for mitigating jet lag and circadian-related health disorders.

Identifiers

PMID41315249
PMCPMC12753632

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.