Evidence map›Paper›PMID 42450440›Full record

ArticleFoods (Basel, Switzerland)2026

Sugarcane Polyphenols Improve Depressive-like Behavior in CUMS Mice by Promoting the MAPK/ERK Signaling Pathway and Inhibiting NLRP3 Inflammasome Pyroptosis.

Xue Wang, Jiapeng Song, Zhongmei He, Jianming Li, Yan Zhao, Ying Zong, Jianan Geng, Jia Zhou, Junkoo Yi, Weijia Chen and 1 more

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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.

Xue WangCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.
Jiapeng SongCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.
Zhongmei HeCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.ORCID 0000-0002-2694-6510
Jianming LiCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.
Yan ZhaoCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.ORCID 0000-0003-0704-7410
Ying ZongCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.
Jianan GengCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.
Jia ZhouCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.
Junkoo YiDivision of Animal Science, School of Animal Life Convergence Sciences, Anseong City 12646, Republic of Korea.ORCID 0000-0003-2593-6529
Weijia ChenCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.
Rui DuCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.

Funding

Jilin Province Science and Technology Department YDZJ202501ZYTS706
6 · The paper itself

Abstract

Sugarcane polyphenols (SP) are investigated for their antidepressant potential using a CUMS-induced mouse model and a corticosterone-induced neuronal injury cell model. Results demonstrate that SP alleviates depressive-like behaviors, inhibits hippocampal neuronal apoptosis, and reduces neuroinflammation. Mechanistically, SP activates the MAPK/ERK pathway, which in turn suppresses NLRP3 inflammasome-mediated pyroptosis; this effect is attenuated by the MAPK/ERK inhibitor PD98059. Furthermore, SP synergizes with the caspase-1 inhibitor VX-765 to inhibit pyroptosis.

Indexed as

depressionMAPKNLRP3 inflammasomepyroptosissugarcane polyphenols (SP)

Identifiers

PMID42450440
PMCPMC13362321

What OpenQuestion holds

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Registered trials

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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.