Proteomics analysis in myocardium of spontaneously hypertensive rats

Wang, Tingjun; Cai, Xiaoqi; Li, Jinze; Xie, Liangdi

doi:10.1038/s41598-023-27590-8

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…Seven KEGG pathways were associated with different trait pairs. The pathways involved in drug metabolism by cytochrome p450 and the metabolism of xenobiotics by cytochrome p450 were related to the balance between the oxidative stress system and antioxidant capacity and might play a vital role in hypertension-related conditions/diseases [ 38 ]. In addition, another study found that both hypertension and high cholesterol in animal models lead to increased systemic and vascular oxidative stress, resulting in reduced vasodilatation [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Genetic effects and causal association analyses of 14 common conditions/diseases in multimorbidity patterns

Fu,

Yang,

Tang

et al. 2024

PLoS ONE

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Background Multimorbidity has become an important health challenge in the aging population. Accumulated evidence has shown that multimorbidity has complex association patterns, but the further mechanisms underlying the association patterns are largely unknown. Methods Summary statistics of 14 conditions/diseases were available from the genome-wide association study (GWAS). Linkage disequilibrium score regression analysis (LDSC) was applied to estimate the genetic correlations. Pleiotropic SNPs between two genetically correlated traits were detected using pleiotropic analysis under the composite null hypothesis (PLACO). PLACO-identified SNPs were mapped to genes by Functional Mapping and Annotation of Genome-Wide Association Studies (FUMA), and gene set enrichment analysis and tissue differential expression were performed for the pleiotropic genes. Two-sample Mendelian randomization analyses assessed the bidirectional causality between conditions/diseases. Results LDSC analyses revealed the genetic correlations for 20 pairs based on different two-disease combinations of 14 conditions/diseases, and genetic correlations for 10 pairs were significant after Bonferroni adjustment (P<0.05/91 = 5.49E-04). Significant pleiotropic SNPs were detected for 11 pairs of correlated conditions/diseases. The corresponding pleiotropic genes were differentially expressed in the brain, nerves, heart, and blood vessels and enriched in gluconeogenesis and drug metabolism, biotransformation, and neurons. Comprehensive causal analyses showed strong causality between hypertension, stroke, and high cholesterol, which drive the development of multiple diseases. Conclusions This study highlighted the complex mechanisms underlying the association patterns that include the shared genetic components and causal effects among the 14 conditions/diseases. These findings have important implications for guiding the early diagnosis, management, and treatment of comorbidities.

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Section: Discussionmentioning

confidence: 99%

Genetic effects and causal association analyses of 14 common conditions/diseases in multimorbidity patterns

Fu,

Yang,

Tang

et al. 2024

PLoS ONE

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“…For expression analyses (C-60 Group x Hg-60 group), p < 0.05 was considered for negatively regulated proteins, and 1— p > 0.95 was considered for upregulated proteins. After compiling the results, functional analysis of the differentially expressed proteins was performed using Blas2GO 6.0 software, to determine the functional categories of proteins based on notes from the gene ontology of biological processes [ 18 , 31 , 32 , 33 , 34 , 35 ].…”

Section: Methodsmentioning

confidence: 99%

“…Statistical analysis was performed, according to the procedures described in previously published papers [ 9 , 18 , 19 , 20 , 30 , 31 , 32 , 33 , 34 , 35 ]. However, the statistical analysis procedures are briefly described as follows: “The images of 2D PAGE gels obtained from the renal proteome fractionation experiments (Groups C-60 and Hg-60) were analyzed with ImageMaster 2D Platinum 7.0 software (GE Healthcare).…”

Section: Methodsmentioning

confidence: 99%

Metalloproteomic Investigation of Hg-Binding Proteins in Renal Tissue of Rats Exposed to Mercury Chloride

de Almeida,

Faria,

Cirinêu

et al. 2023

IJMS

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Results obtained from rat studies indicate that, even at low concentrations, mercurial species cause harmful effects on the kidneys, by inducing the nephrotic oxidative stress response. In the present work, Hg-associated proteins were identified as possible mercury-exposure biomarkers in rat kidneys exposed to low mercury chloride concentrations for 30 days (Hg-30) and 60 days (Hg-60), using metalloproteomic strategies. The renal proteomic profile was fractioned by two-dimensional electrophoresis and the mercury determinations in kidney samples, protein pellets and protein spots were performed using graphite furnace atomic absorption spectrometry. The characterization of Hg-associated protein spots and the analysis of differentially expressed proteins were performed by liquid chromatography, coupled with tandem mass spectrometry. Eleven Hg-associated protein spots with a concentration range of 79 ± 1 to 750 ± 9 mg kg−1 in the Hg-60 group were identified. The characterization and expression analyses allowed the identification of 53 proteins that were expressed only in the Hg-60 group, 13 “upregulated” proteins (p > 0.95) and 47 “downregulated” proteins (p < 0.05). Actin isoforms and hemoglobin subunits were identified in protein spots of the Hg-60 group, with mercury concentrations in the range of 138 to 750 mg kg−1, which qualifies these proteins as potential mercury-exposure biomarkers.

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Proteomic analysis by 4D label-free MS-PRM identified that Nptx1, Ptpmt1, Slc25a11, and Cpt1c are involved in diabetes-associated cognitive dysfunction

Yang,

Wang,

Wang

et al. 2023

International Journal of Neuroscience

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Proteomics analysis in myocardium of spontaneously hypertensive rats

Cited by 3 publications

References 25 publications

Genetic effects and causal association analyses of 14 common conditions/diseases in multimorbidity patterns

Genetic effects and causal association analyses of 14 common conditions/diseases in multimorbidity patterns

Metalloproteomic Investigation of Hg-Binding Proteins in Renal Tissue of Rats Exposed to Mercury Chloride

Proteomic analysis by 4D label-free MS-PRM identified that Nptx1, Ptpmt1, Slc25a11, and Cpt1c are involved in diabetes-associated cognitive dysfunction

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