Translatome analysis reveals the regulatory role of betaine in high fat diet (HFD)-induced hepatic steatosis

Huang, Tengda; Yu, Jingsu; Luo, Zupeng; Lin, Yongcheng; Liu, Siqi; Wang, Peng; Jia, Mengting; Wu, Tian; Miao, Weiwei; Zhou, Lei; Song, Ziyi; Zhang, Haojie; Li, Yixing

doi:10.1016/j.bbrc.2021.08.058

Cited by 13 publications

(2 citation statements)

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“…[8] Caused by toxic lipid species accumulating in liver, inducing hepatocellular stress, injury and death, and leading to fibrogenesis and genomic instability, metabolic associated fatty liver disease (MAFLD) is a disease whose prevalence rate among adults is 25% worldwide. [9,10] The occurrence of MAFLD is related to obesity, cardiovascular disease, [11] and the differential expression of genes involved in lipid droplet biology. [12] With histological abnormalities like bland steatosis, steatohepatitis, hepato-fibrosis, and cirrhosis, MAFLD is at risk for further progression to nonalcoholic steatohepatitis (NASH), liver fibrosis, cirrhosis, and liver cancer.…”

Section: Introductionmentioning

confidence: 99%

Demonstration of the impact of COVID-19 on metabolic associated fatty liver disease by bioinformatics and system biology approach

Huang,

Zheng,

Song

et al. 2023

Medicine

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Background: Severe coronavirus disease 2019 (COVID-19) has caused a great threat to human health. Metabolic associated fatty liver disease (MAFLD) is a liver disease with a high prevalence rate. Previous studies indicated that MAFLD led to increased mortality and severe case rates of COVID-19 patients, but its mechanism remains unclear. Methods: This study analyzed the transcriptional profiles of COVID-19 and MAFLD patients and their respective healthy controls from the perspectives of bioinformatics and systems biology to explore the underlying molecular mechanisms between the 2 diseases. Specifically, gene expression profiles of COVID-19 and MAFLD patients were acquired from the gene expression omnibus datasets and screened shared differentially expressed genes (DEGs). Gene ontology and pathway function enrichment analysis were performed for common DEGs to reveal the regulatory relationship between the 2 diseases. Besides, the hub genes were extracted by constructing a protein-protein interaction network of shared DEGs. Based on these hub genes, we conducted regulatory network analysis of microRNA/transcription factors–genes and gene - disease relationship and predicted potential drugs for the treatment of COVID-19 and MAFLD. Results: A total of 3734 and 589 DEGs were screened from the transcriptome data of MAFLD (GSE183229) and COVID-19 (GSE196822), respectively, and 80 common DEGs were identified between COVID-19 and MAFLD. Functional enrichment analysis revealed that the shared DEGs were involved in inflammatory reaction, immune response and metabolic regulation. In addition, 10 hub genes including SERPINE1, IL1RN, THBS1, TNFAIP6, GADD45B, TNFRSF12A, PLA2G7, PTGES, PTX3 and GADD45G were identified. From the interaction network analysis, 41 transcription factors and 151 micro-RNAs were found to be the regulatory signals. Some mental, Inflammatory, liver diseases were found to be most related with the hub genes. Importantly, parthenolide, luteolin, apigenin and MS-275 have shown possibility as therapeutic agents against COVID-19 and MAFLD. Conclusion: This study reveals the potential common pathogenesis between MAFLD and COVID-19, providing novel clues for future research and treatment of MAFLD and severe acute respiratory syndrome coronavirus 2 infection.

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Section: Introductionmentioning

confidence: 99%

Demonstration of the impact of COVID-19 on metabolic associated fatty liver disease by bioinformatics and system biology approach

Huang,

Zheng,

Song

et al. 2023

Medicine

Self Cite

View full text Add to dashboard Cite

show abstract

“…The clean data were compared to the reference genome (GRCm38/mm10) using STAR software. The FANSE2 series algorithm (27,28) was used for quantitative genetic analysis. The mRNA and RPFs in each sample were normalized using reads per kilobase per million reads (RPKM) (29).…”

Section: Sequence Analysismentioning

confidence: 99%

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The anti-diabetic potential of betaine. Mechanisms of action in rodent models of type 2 diabetes

Szkudelska

Szkudelski

2022

Biomedicine & Pharmacotherapy

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Translatome analysis reveals the regulatory role of betaine in high fat diet (HFD)-induced hepatic steatosis

Cited by 13 publications

References 20 publications

Demonstration of the impact of COVID-19 on metabolic associated fatty liver disease by bioinformatics and system biology approach

Demonstration of the impact of COVID-19 on metabolic associated fatty liver disease by bioinformatics and system biology approach

Image_4.JPEG

The anti-diabetic potential of betaine. Mechanisms of action in rodent models of type 2 diabetes

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