Evidence map›Paper›PMID 40213158›Full record

ArticleMaterials today. Bio2025

Longitudinal multi-omics analysis of the gut-liver axis: Unraveling the molecular mechanisms of metabolic homeostasis regulation by Pd@Pt nanozymes.

Yanan Wang, Nan Cheng, Qi Zhang, Fei Chang, Teng Wang, Minrui Kan, Yutong Han, Baiqiang Zhai, Kunlun Huang, Xiaoyun He

Abstract read
In one paragraph

Article in Materials today. Bio, 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
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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

10 authors.

Yanan WangBeijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, PR China.
Nan ChengBeijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, PR China.
Qi ZhangBeijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, PR China.
Fei ChangBeijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, PR China.
Teng WangBeijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, PR China.
Minrui KanBeijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, PR China.
Yutong HanBeijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, PR China.
Baiqiang ZhaiZhengzhou Railway Vocational & Technical College, Zhengzhou, 451460, PR China.
Kunlun HuangBeijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, PR China.
Xiaoyun HeBeijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the nanozyme Pd@Pt has garnered attention due to its notable specific surface area and superior enzyme-like catalytic activity, leading to extensive examination and application in previous studies. However, the comprehensive impact of Pd@Pt nanozyme on treating metabolic disorders, such as diabetes and its associated conditions, remains largely unexplored. This research aimed to clarify how Pd@Pt influences metabolic balance at both the transcriptome and microbiome levels and to explore the interactions between microbiota and genes. We conducted an examination of mice subjected to a high-fat diet (HFD) following treatment with Pd@Pt. Transcriptome analysis was performed to identify differentially expressed genes (DEGs), and microbiome analysis was conducted to identify significant bacterial correlations associated with Pd@Pt exposure. The results indicated enhancements in glucose metabolism dysfunctions in the treated mice. Transcriptome analysis revealed that DEGs after Pd@Pt administration were enriched in the PI3K-Akt, NF-κB, and MAPK signaling pathways in the liver. Microbiome analysis identified four significant bacteria that exhibited a strong negative correlation with Pd@Pt exposure, while ten bacteria showed a positive correlation. Furthermore, a correlation network established among the gut microbiota, metabolites, and DEGs demonstrated a robust association. This research enhances our understanding of the mechanisms by which Pd@Pt affects the regulation of metabolic diseases in HFD-exposed environments and proposes a novel strategy for utilizing nanozymes in human health management.

Indexed as

Metabolic homeostasisMetabolomeMicrobiomePd@Pt nanozymeTranscriptome

Identifiers

PMID40213158
PMCPMC11984605

What Socratic holds

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LicenceCC BY-NC
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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.