Evidence map›Paper›PMID 41350794›Full record

ArticleNeuroscience bulletin2026

Circadian Rhythm Disorder-Related Dysfunctions are Exacerbated by Aging and Ameliorated by Time-Restricted Feeding.

Fengjiao Huo, Qing Liu, Shuaishuai Zhang, Xiaorui Liu, Shuyao Lv, Meili Zhao, Yue Liu, Xiaoqi Zhu, Ce Huang, Shengyu Feng and 9 more

Abstract read
In one paragraph

Article in Neuroscience bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed.

  1. Review
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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

19 authors.

Fengjiao HuoInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Qing LiuInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Shuaishuai ZhangInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Xiaorui LiuInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Shuyao LvInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Meili ZhaoInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Yue LiuInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Xiaoqi ZhuInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Ce HuangInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Shengyu FengInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Hao WangInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Siling XuInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Junyan ShenInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Jiaming GaoInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China.
Tingting SuKey Laboratory of Xinjiang Phytomedicine Resource and Utilization of Ministry of Education, College of Life Sciences, Shihezi University, Shihezi, 832003, China.
Yating WuKey Laboratory of Xinjiang Phytomedicine Resource and Utilization of Ministry of Education, College of Life Sciences, Shihezi University, Shihezi, 832003, China.
Ruichan JiangKey Laboratory of Xinjiang Phytomedicine Resource and Utilization of Ministry of Education, College of Life Sciences, Shihezi University, Shihezi, 832003, China.
Jian-Kang ZhuInstitute of Advanced Biotechnology and School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China.
Hailiang LiuInstitute for Regenerative Medicine, State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200123, China. hailiang_1111@tongji.edu.cn.ORCID http://orcid.org/0000-0002-5521-3746

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian rhythms are present in various species, and circadian rhythm disorder (CRD) affects people of all ages, especially those with age-related neurodegenerative diseases. Gut microbiota, which changes with age, also exhibits circadian rhythms. Disruption of gut microbial balance can trigger neurodegenerative diseases. This study explored the link between aging, CRD, and gut microbes by modeling CRD through light/dark cycle control. We found that aging worsened cognitive and mood disorders, along with gut microbial imbalance, intestinal barrier damage, and systemic inflammation in aged mice with CRD. Abnormal circadian gene expression increased oxidative stress. However, time-restricted feeding (TRF) improved CRD effects in aged mice by boosting Akkermansia muciniphila and inhibiting the NOD-like signaling pathway. This study shows that older mice exhibit increased behavioral and functional issues under CRD-related stress due to complex causes like systemic inflammation from a proinflammatory gut microbiome and oxidative stress from disrupted circadian genes. Maintaining a regular eating schedule significantly alleviates these CRD-induced issues in aged mice.

Indexed as

AgingChronobiology DisordersGastrointestinal MicrobiomeAnimalsCircadian RhythmDisease Models, AnimalFastingInflammationMaleMiceMice, Inbred C57BLOxidative StressAgingCircadian RhythmGut microbesROSTime-restricted feeding

Identifiers

PMID41350794
PMCPMC13031583

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.