Evidence map›Paper›PMID 39596321›Full record

ArticleInternational journal of molecular sciences2024

Weighted Gene Co-Expression Network Based on Transcriptomics: Unravelling the Differentiation Dynamics of 3T3-L1 Preadipocytes and the Regulatory Mechanism of Protopanaxatriol.

Yaru Zhao, Xv Wang, Hongbo Teng, Tianyi Zhao, Wendyam Marie Christelle Nadembega, Xinhua Fan, Wenxin Zhang, Bowen Fan, Yuye Chi, Yan Zhao and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. 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.

Yaru ZhaoCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130117, China.
Xv WangCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130117, China.
Hongbo TengCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130117, China.
Tianyi ZhaoInternational Joint Laboratory for Development of Animal and Plant Resources for Food and Medicine, Changchun 130118, China.
Wendyam Marie Christelle NadembegaInternational Joint Laboratory for Development of Animal and Plant Resources for Food and Medicine, Changchun 130118, China.
Xinhua FanCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130117, China.
Wenxin ZhangCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130117, China.
Bowen FanCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130117, China.
Yuye ChiCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130117, China.
Yan ZhaoCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130117, China.ORCID 0000-0003-0704-7410
Shuangli LiuCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130117, China.

Funding

the National Key Research and Development Program 2022YFF1300500
6 · The paper itself

Abstract

The intricate regulatory mechanisms governing adipocyte differentiation are pivotal in elucidating the complex pathophysiology underlying obesity. This study aims to explore the dynamic changes in gene expression during the differentiation of 3T3-L1 adipocytes using transcriptomics methods. Protopanaxatriol (PPT) significantly inhibited adipocyte differentiation. To uncover the molecular mechanisms, we conducted an extensive transcriptomic analysis of adipocytes throughout various differentiation stages, comparing gene expression profiles before and after PPT treatment. The construction of 16 co-expression modules was achieved using weighted gene co-expression network analysis (WGCNA). The 838 differentially expressed genes in the blue module were highly correlated with PPT treatment. Further analysis revealed that PIKfyve, STAT3, JAK1, CTTN, TYK2, JAK3, STAT2, STAT5b, SOCS3, and IRF9 were core genes closely associated with adipocyte differentiation. This discovery underscores the potential pivotal function of these ten genes in regulating adipocyte differentiation. This study elucidated that PPT, an active ingredient in ginseng, could reduce lipid accumulation by inhibiting the differentiation of adipocyte precursors through the negative regulation of genes such as PIKfyve, STAT3, and JAK1. Finally, molecular docking identified potential binding sites for PPT on PIKfyve and JAK1. This study provides potential drug targets for preventing obesity and related metabolic diseases.

Indexed as

3T3-L1 CellsAdipocytesCell DifferentiationGene Regulatory NetworksSapogeninsAdipogenesisAnimalsGene Expression ProfilingGene Expression RegulationJanus Kinase 1MiceMolecular Docking SimulationTranscriptomeJanus Kinase 1protopanaxatriolSapogeninsadipocyte differentiationlipid accumulationobesityprotopanaxatriolRNA sequencingWGCNA

Identifiers

PMID39596321
PMCPMC11594308

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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.