Evidence mapPaperPMID 39926539Full record

ArticleACS omega2025

Dietary Natural Melanin Nanozymes Delay Aging and Ameliorate Neurodegeneration via Improving Gut Microbiota and Redox Homeostasis.

Yao Xiao, Shikun Zhang, Hailong Zhuo, Xiaoyong Zhang, Kai Zhu, Wanyi Chen, Guoxing You, Hongwei Chen, Qun Luo, Hong Zhou and 1 more

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Yao XiaoAcademy of Military Medical Sciences, Beijing 100850, China.
Shikun ZhangAcademy of Military Medical Sciences, Beijing 100850, China.
Hailong ZhuoDepartment of Transfusion, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100071, China.
Xiaoyong ZhangAcademy of Military Medical Sciences, Beijing 100850, China.
Kai ZhuAcademy of Military Medical Sciences, Beijing 100850, China.
Wanyi ChenAcademy of Military Medical Sciences, Beijing 100850, China.
Guoxing YouAcademy of Military Medical Sciences, Beijing 100850, China.
Hongwei ChenFuyang Normal University, Fuyang 236037, China.
Qun LuoDepartment of Transfusion, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100071, China.
Hong ZhouAcademy of Military Medical Sciences, Beijing 100850, China.ORCID https://orcid.org/0000-0003-2987-7781
Gan ChenAcademy of Military Medical Sciences, Beijing 100850, China.ORCID https://orcid.org/0000-0003-4586-4526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is an inevitable multifactor process that causes a decline in organ function and increases the risk of age-related diseases and death. Thus, the development of highly effective and safe therapeutic strategies to delay aging and age-related diseases is urgently required. In this study, we isolated natural melanin nanozymes (NMNs) from the ink sacs of live octopuses. The NMNs exhibited excellent superoxide-dismutase-mimicking and radical scavenging activities. In SAMP8 mice, treatment with NMNs improved their cognition and memory functions while restoring their aging-impaired liver function and lipid metabolism, thereby prolonging their lifespan. Moreover, the NMNs reversed metabolic changes in their aged brains and reconstructed their gut microbiota composition by enhancing microbial community diversity. Our findings indicate that NMNs treatment could be a promising approach for delaying aging and preventing age-associated physiological decline in humans.

Identifiers

PMID39926539
PMCPMC11800042

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.