Evidence map›Paper›PMID 41240330›Full record

ArticleChemistry & biodiversity2026

Chinese Yam Polysaccharide Ameliorates Obesity by Promoting Lipolysis Via the cAMP/PKA Signaling Pathway.

Chunyu Xiao, Pan Zhou, Longxu Luo, Qinyuan Zhang, Yijing Zhang, Lei Tan, Meiqi Fu, Weiyan Quan, Yongkai Tang, Lishuang Zhou and 2 more

Abstract read
In one paragraph

Article in Chemistry & biodiversity, 2026. 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

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

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

12 authors.

Chunyu XiaoThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Pan ZhouThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Longxu LuoThe First Clinical College, Guangdong Medical University, Zhanjiang, People's Republic of China.
Qinyuan ZhangThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Yijing ZhangThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Lei TanThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Meiqi FuThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Weiyan QuanThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Yongkai TangThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Lishuang ZhouThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Kefeng WuThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.
Luming DengThe Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, People's Republic of China.ORCID https://orcid.org/0009-0006-4304-6350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is associated with multiple health problems and has become a major public health challenge worldwide. In this study, the monosaccharide composition of CYP was determined using the PMP pre-column derivatization method. The results showed that CYP was composed of Glc, Gal, Ara, Man, and GlcA. In addition, the anti-obesity effects of CYP were evaluated using OP9 cells in vitro and a zebrafish obesity model in vivo. The findings revealed that CYP effectively promoted lipolysis, significantly modulated the expression of lipolysis-related proteins, and markedly reduced lipid accumulation in obese zebrafish. Subsequently, the potential molecular mechanism underlying the anti-obesity effects of CYP was explored via network pharmacology, molecular docking, and experimental validation. Protein-protein interaction network analysis identified five core targets, including STAT3, CASP3, PPARA, JUN, and MMP9. Moreover, KEGG enrichment analysis and molecular docking indicated that the cAMP signaling pathway may mediate the anti-obesity effects of CYP, with STAT3 serving as a potential therapeutic target. Furthermore, Western blot experiments demonstrated that CYP downregulated STAT3 expression and activated the cAMP/PKA signaling pathway, thereby ameliorating obesity. Collectively, these findings suggest that CYP holds promise as a novel anti-obesity agent.

Indexed as

Anti-Obesity AgentsCyclic AMPCyclic AMP-Dependent Protein KinasesLipolysisObesityPolysaccharidesSignal TransductionAnimalsCell LineHumansMiceMolecular Docking SimulationSTAT3 Transcription FactorZebrafishAnti-Obesity AgentsCyclic AMPCyclic AMP-Dependent Protein KinasesPolysaccharidesSTAT3 Transcription Factoranti‐obesity activitycAMP/PKA signaling pathwayChinese yamnetwork pharmacologypolysaccharide

Identifiers

PMID41240330
PMCPMC13421869

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.