Comparative Proteomic Analysis of Liver Tissues and Serum in db/db Mice

Wu, Xiumei; Xu, Mengyun; Tong, Yue; Ling, Ping; Fang, Tingyu; Luo, Sihui; Xu, Suowen; Weng, Jianping

doi:10.3390/ijms23179687

Cited by 7 publications

(6 citation statements)

References 104 publications

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“…When these three MRGs are upregulated in the hepatic tissue, they promote inflammatory infiltration and lipid synthesis, exacerbate liver fibrosis, activate pro-inflammatory M1 macrophages, and inhibit fatty acid beta-oxidation and anti-inflammatory M2 macrophages [48][49][50][51]. In NASH, AKR1B10 upregulation may lead to mitochondrial dysfunction, disrupt redox reaction balance, and cause excessive reactive oxygen species production, thereby inducing oxidative hepatocyte damage [52].…”

Section: Discussionmentioning

confidence: 99%

Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis

Dai,

Jiang,

Zhan

et al. 2024

Lipids Health Dis

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Background Evidence suggests that hepatocyte mitochondrial dysfunction leads to abnormal lipid metabolism, redox imbalance, and programmed cell death, driving the onset and progression of non-alcoholic steatohepatitis (NASH). Identifying hub mitochondrial genes linked to NASH may unveil potential therapeutic targets. Methods Mitochondrial hub genes implicated in NASH were identified via analysis using 134 algorithms. Results The Random Forest algorithm (RF), the most effective among the 134 algorithms, identified three genes: Aldo–keto reductase family 1 member B10 (AKR1B10), thymidylate synthase (TYMS), and triggering receptor expressed in myeloid cell 2 (TREM2). They were upregulated and positively associated with genes promoting inflammation, genes involved in lipid synthesis, fibrosis, and nonalcoholic steatohepatitis activity scores in patients with NASH. Moreover, using these three genes, patients with NASH were accurately categorized into cluster 1, exhibiting heightened disease severity, and cluster 2, distinguished by milder disease activity. Conclusion These three genes are pivotal mitochondrial genes implicated in NASH progression.

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Section: Discussionmentioning

confidence: 99%

Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis

Dai,

Jiang,

Zhan

et al. 2024

Lipids Health Dis

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“…Wrn Δhel/Δhel males also exhibited a significant decrease in Serpina1e abundance in both the serum and liver tissue at ten months of age ( Figure 10 ). Liver and serum Serpina1e have been shown to be decreased in various mouse models of fatty liver diseases [ 53 , 54 ]. Serpina1e is the anti-protease alpha 1-antitrypsin that protects tissues from proteolytic degradation by neutrophil elastases.…”

Section: Discussionmentioning

confidence: 99%

“…Serpina1e is the anti-protease alpha 1-antitrypsin that protects tissues from proteolytic degradation by neutrophil elastases. It is secreted in the blood stream mainly by the liver [ 54 ]. Serpina1e is especially decreased in the liver by diets rich in saturated fatty acids in mice [ 53 ].…”

Section: Discussionmentioning

confidence: 99%

Integrated liver and serum proteomics uncover sexual dimorphism and alteration of several immune response proteins in an aging Werner syndrome mouse model

Aumailley,

Dubois,

Marette

et al. 2024

Aging

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Werner syndrome (WS) is a progeroid disorder caused by mutations in a protein containing both a DNA exonuclease and DNA helicase domains. Previous studies indicated that males lacking the helicase domain of the Wrn protein orthologue exhibited hepatic transcriptomic and metabolic alterations. In this study, we used a label-free liquid chromatography-tandem mass spectrometry approach to uncover proteins abundance associated with specific biological processes that differed depending on the age (four or ten months) and/or the genotype (wild type or Wrn mutant) in the serum and liver of mice. Principal component analysis of the proteomic data from both serum and hepatic tissue revealed a sexual dimorphism regardless of the age and the genotype of the mice. Moreover, although all Wrn mutant mice exhibited fatty liver by the age of ten months, a significant age and genotype dependent enrichment of proteins involved in lipid and fatty acid metabolic processes were uncovered only in males. Also, a genotype dependent increase in serum oxidant detoxification processes was observed in the serum of Wrn mutant males. Despite these sexual differences, several aspects of the immune system were affected in both females and males. Finally, an increase of specific immunoglobulin molecules was common in the liver and serum of both older Wrn mutant females and males. Such results suggest that specific immunoglobulin variants maybe associated with fatty liver progression in WS.

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“…Proteomic analysis is considered as a promising strategy to get a global view of complex biological processes, taking advantage of high-throughput profiling ( Cui et al, 2022 ) and extensive dynamic ranges ( Canterbury et al, 2008 ). Recently, liquid chromatography-mass spectrometry (LC–MS)-based proteomics have been utilized for investigating biomarkers in various biological samples, such as extracellular vesicles ( Wu et al, 2023 ), biological tissues ( Li et al, 2022 ), serum ( Zhang et al, 2022 ), and paraffin-embedded tissues ( Cai et al, 2022 ), indicating wide clinical applications regarding cancers and diseases. Rapidly developed proteomic technology provides a more precise and more comprehensive insight into virus or bacterial infections ( Grossegesse et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Temporal proteomic profiling reveals functional pathways in vaccinia virus-induced cell migration

Liu

Chen

et al. 2023

Front. Microbiol.

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IntroductionViral diseases have always been intricate and persistent issues throughout the world and there is a lack of holistic discoveries regarding the molecular dysregulations of virus-host interactions. The temporal proteomics strategy can identify various differentially expressed proteins and offer collaborated interaction networks under pathological conditions.MethodHerein, temporal proteomics at various hours post infection of Vero cells were launched to uncover molecular alternations during vaccinia virus (VACV)-induced cell migration. Different stages of infection were included to differentiate gene ontologies and critical pathways at specific time points of infection via bioinformatics.ResultsBioinformatic results showed functional and distinct ontologies and pathways at different stages of virus infection. The enrichment of interaction networks and pathways verified the significances of the regulation of actin cytoskeleton and lamellipodia during VACV-induced fast cell motility.DiscussionThe current results offer a systematic proteomic profiling of molecular dysregulations at different stages of VACV infection and potential biomedical targets for treating viral diseases.

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Comparative Proteomic Analysis of Liver Tissues and Serum in db/db Mice

Cited by 7 publications

References 104 publications

Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis

Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis

Integrated liver and serum proteomics uncover sexual dimorphism and alteration of several immune response proteins in an aging Werner syndrome mouse model

Temporal proteomic profiling reveals functional pathways in vaccinia virus-induced cell migration

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