Temporal metabolomic alteration in rat brains of experimental intracerebral hemorrhage

Hu, En; Ding, Ruoqi; Li, Teng; Li, Pengfei; Feng, Dandan; Wang, Hu; Cui, Hanjin; Zhu, Xiaofei; Sun, Ping; Wang, Yang; Tang, Tao

doi:10.1016/j.brainresbull.2021.02.021

Cited by 3 publications

(2 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, we searched for depression targets via the OMIM ( https://omim.org/ ), Genecards ( https://www.genecards.org/ ), and Disgenet databases ( https://ngdc.cncb.ac.cn/databasecommons/ ). The intersections of disease targets and proteins were predicted based on metabolites ( 26 ). Conserved gene-based proteins were selected from among the above proteins using BLAST-NCBI2 for each protein with >80% mRNA identification ( 27 ).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Metabolomics Analysis of the Prefrontal Cortex in a Rat Chronic Unpredictable Mild Stress Model of Depression

Duan

Fan

et al. 2022

Front. Psychiatry

Self Cite

View full text Add to dashboard Cite

Background:Depressive disorder is the leading cause of disability and suicidality worldwide. Metabolites are considered indicators and regulators of depression. However, the pathophysiology of the prefrontal cortex (PFC) in depression remains unclear.MethodsA chronic unpredictable mild stress (CUMS) model and a maturation rodent model of depression was used to investigate metabolic changes in the PFC. Eighteen male Sprague-Dawley rats were randomly divided into CUMS and control groups. The sucrose preference test (SPT) and forced swimming test (FST) were employed to evaluate and record depression-associated behaviors and changes in body weight (BW). High-performance liquid chromatography–tandem mass spectrometry was applied to test metabolites in rat PFC. Furthermore, principal component analysis and orthogonal partial least-squares discriminant analysis were employed to identify differentially abundant metabolites. Metabolic pathways were analyzed using MetaboAnalyst. Finally, a metabolite-protein interaction network was established to illustrate the function of differential metabolites.ResultsSPT and FST results confirmed successful establishment of the CUMS-induced depression-like behavior model in rats. Five metabolites, including 1-methylnicotinamide, 3-methylhistidine, acetylcholine, glycerophospho-N-palmitoyl ethanolamine, α-D-mannose 1-phosphate, were identified as potential biomarkers of depression. Four pathways changed in the CUMS group. Metabolite-protein interaction analysis revealed that 10 pathways play roles in the metabolism of depression.ConclusionFive potential biomarkers were identified in the PFC and metabolite-protein interactions associated with metabolic pathophysiological processes were explored using the CUMS model. The results of this study will assist physicians and scientists in discovering potential diagnostic markers and novel therapeutic targets for depression.

show abstract

Section: Methodsmentioning

confidence: 99%

“…cncb.ac.cn/databasecommons/). The intersections of disease targets and proteins were predicted based on metabolites (26). Conserved gene-based proteins were selected from among the above proteins using BLAST-NCBI2 for each protein with >80% mRNA identification (27).…”

Section: Data Processingmentioning

confidence: 99%

Metabolomics Analysis of the Prefrontal Cortex in a Rat Chronic Unpredictable Mild Stress Model of Depression

Duan

Fan

et al. 2022

Front. Psychiatry

Self Cite

View full text Add to dashboard Cite

show abstract

Mesenchymal Stem Cell-Derived Exosomal miR-150-3p Affects Intracerebral Hemorrhage By Regulating TRAF6/NF-κB Axis, Gut Microbiota and Metabolism

Sun

2023

Stem Cell Rev and Rep

View full text Add to dashboard Cite

Examining the Mechanism of Treatment for Primary Dysmenorrhea with Wenjing Huoxue Decoction based on Transcriptomics, Metabolomics, and Network Pharmacology

Fan,

Wang,

Yan

et al. 2024

CPD

View full text Add to dashboard Cite

Background: Wenjing Huoxue Decoction (WJHXD) is a traditional treatment for primary dysmenorrhea (PD) that can quickly relieve various symptoms caused by PD. Previous clinical studies have shown that WJHXD has better long-term efficacy than ibuprofen in the treatment of PD and can reverse the disorder of T cell subsets. Objective: To investigate the effect of WJHXD on serum-related factors in the treatment of PD, including the identification of key targets, pathways, and active ingredients. Methods: In order to study the effects of the WJHXD intervention in Parkinson's Disease (PD) rats, we used transcriptomics and metabolomics methods to examine the differentially expressed genes (DEGs) and differentially expressed metabolites (DEMs). We also utilized network pharmacology to predict the target and effective route of WJHXD in treating PD. Finally, we employed molecular docking (MD) technology to confirm the placement of important targets and metabolites. method: Transcriptomics and metabolomics methods were used to examine differentially expressed genes(DEGs) and differentially expressed metabolites(DEMs) in PD rats' after the WJHXD intervention. The network pharmacology method was used to predict the target and effective route of WJHXD in PD treatment. Molecular docking(MD) technology was employed to confirm the placement of important targets and metabolites. Results: WJHXD has been found to be effective in prolonging the onset time and decreasing the number of writhing episodes in PD rats after oxytocin injection. It has also been observed to reduce the levels of PGF2, COX-2, AVP, and PGE2 in the serum of PD rats to different degrees. Transcriptomics analysis has revealed that the core targets of WJHXD include KRT1, KRT16, CCL5, F2, NOS2, RAC2, and others, while the core pathways are Calcium signaling and cAMP signaling. The Estrogen signaling pathway was found to be downregulated in PD rats compared to normal uterine tissue, but WJHXD was able to up-regulate the pathway. A combined transcriptomics and metabolomics analysis suggested that WJHXD may be involved in eight metabolism-related pathways, with the most reliable ones being mucin-type O-glycan biosynthesis and glycolysis or gluconeogenesis. MD has shown that Hydroxyisocaproic acid may bind to important targets such as SLC6A4, PTGER3, IGFBP3, and IGF2. Conclusion: In WJHXD, the most targeted herbs were Corydalis rhizoma, licorice, and Myrrha. The most targeted active ingredients include quercetin, 3'-Hydroxy-4'-O-methylglabridin, shinpterocarpin, and isorhamnetin. Potential targets include PTGS2, NOS2, AR, SCN5A, and GAS6. Analysis revealed 72 highly reliable relationships between group A and B DEGs and DEMs, with 23 positive correlations and 49 negative correlations among them. A combined analysis of transcriptomics, metabolomics, and network pharmacology was used to identify possible targets, pathways, and active ingredients of WJHXD in PD treatment, and the correlation between DEGs and DEMs was investigated. However, further research is required to confirm the relationship between active ingredients, targets, and metabolites.

show abstract

Temporal metabolomic alteration in rat brains of experimental intracerebral hemorrhage

Cited by 3 publications

References 50 publications

Metabolomics Analysis of the Prefrontal Cortex in a Rat Chronic Unpredictable Mild Stress Model of Depression

Metabolomics Analysis of the Prefrontal Cortex in a Rat Chronic Unpredictable Mild Stress Model of Depression

Mesenchymal Stem Cell-Derived Exosomal miR-150-3p Affects Intracerebral Hemorrhage By Regulating TRAF6/NF-κB Axis, Gut Microbiota and Metabolism

Examining the Mechanism of Treatment for Primary Dysmenorrhea with Wenjing Huoxue Decoction based on Transcriptomics, Metabolomics, and Network Pharmacology

Contact Info

Product

Resources

About