| Literature DB >> 32660103 |
Christopher Trent Brewer1,2,3, Kiran Kodali4, Jing Wu1, Timothy I Shaw4,5, Junmin Peng4,6,7, Taosheng Chen1.
Abstract
Tuberculosis is a global health threat that affects millions of people every year, and treatment-limiting toxicity remains a considerable source of treatment failure. Recent reports have characterized the nature of hPXR-mediated hepatotoxicity and the systemic toxicity of antitubercular drugs. The antitubercular drug isoniazid plays a role in such pathologic states as acute intermittent porphyria, anemia, hepatotoxicity, hypercoagulable states (deep vein thrombosis, pulmonary embolism, or ischemic stroke), pellagra (vitamin B3 deficiency), peripheral neuropathy, and vitamin B6 deficiency. However, the mechanisms by which isoniazid administration leads to these states are unclear. To elucidate the mechanism of rifampicin- and isoniazid-induced liver and systemic injury, we performed tandem mass tag mass spectrometry-based proteomic screening of mPxr-/- and hPXR mice treated with combinations of rifampicin and isoniazid. Proteomic profiling analysis suggested that the hPXR liver proteome is affected by antitubercular therapy to disrupt [Fe-S] cluster assembly machinery, [2Fe-2S] cluster-containing proteins, cytochrome P450 enzymes, heme biosynthesis, homocysteine catabolism, oxidative stress responses, vitamin B3 metabolism, and vitamin B6 metabolism. These novel findings provide insight into the etiology of some of these processes and potential targets for subsequent investigations. Data are available via ProteomeXchange with identifier PXD019505.Entities:
Keywords: anemia; antitubercular therapy; cytochrome P450; drug-induced liver injury; heme biosynthesis; hypercoagulability; iron–sulfur cluster; pellagra; vitamin B3; vitamin B6
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Year: 2020 PMID: 32660103 PMCID: PMC7407182 DOI: 10.3390/cells9071654
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
Figure 1Experimental scheme and gene ontology enrichment analysis. (A) Schematic diagram of proteomic analysis workflow: hPXR transgenic or mPxr−/− mice were treated with rifampicin (RIF, 300 mg/kg chow), isoniazid (INH, 1.2 g/L water), or both. Liver tissues were lysed, digested into peptides, and labeled with tandem mass tags (TMTs). The labeled samples were equally mixed and further fractionated by basic pH reverse-phase liquid chromatography (LC). The fractions were collected and further analyzed by acidic pH reverse-phase LC-MS/MS. During ion fragmentation, the TMT regents were cleaved to produce reporter ions for quantification. The collected data were searched against a database to identify peptides. Although the peptides were identified by MS/MS, quantification was achieved by the fragmented reporter ions in the same MS/MS scans. Then, the peptide quantification data were corrected for mixing errors, summarized to derive protein quantification, and subjected to statistical analysis to determine cutoffs for altered proteins and evaluate the associated false discovery rate. (B,C) Clustering analysis of the up-regulated and down-regulated proteins in hPXR mice treated with rifampicin and/or isoniazid, as compared to control hPXR mice, and in mPxr−/− mice treated with rifampicin and isoniazid. Differential protein expression was performed using a moderated T-test implemented in linear models for microarray (LIMMA). LIMMA was used to perform differential gene expression analysis. A cutoff p-value of 0.05 was used as the differential cutoff. Fishers-exact test using the up-regulated and down-regulated genes were tested against GO-Biological Process (BP) (B) and GO-Molecular Function (MF) (C) gene sets. An enrichment score was calculated based on the -log20(p-value). Log20 was chosen to normalize 0.05 to a score of 1.0 as a reference. Red indicates up-regulated proteins and blue indicates down-regulated proteins. hPXR_IvsCNTRL = Isoniazid-treated hPXR mice compared to control hPXR mice; hPXR_RIF.INHvsCNTRL = Rifampicin and isoniazid-treated hPXR mice compared to control hPXR mice; hPXR_RvsCNTRL = Rifampicin-treated hPXR mice compared to control hPXR mice; KO_R_IvsCNTRL = Rifampicin and isoniazid-treated mPxr−/− mice compared to rifampicin and isoniazid treated hPXR mice.
Figure 2Liver function tests from human pregnane X receptor (hPXR) and mPxr−/− knockout (KO) mice treated with rifampicin (RIF) and isoniazid (INH). Sera were analyzed for markers of hepatotoxicity before liver collection. (A) Alkaline phosphatase (ALP), (B) alanine aminotransferate (ALT), (C) direct bilirubin, and (D) total bilirubin are shown. Data are expressed as the mean ± SEM. One-way ANOVA followed by Dunnett post hoc analysis was used to compare group means. ** p < 0.01, * p < 0.05, and ns (not significant).
Figure 3Histopathology of mouse livers. Semiquantitative histopathology scoring was performed by a board-certified veterinary pathologist. (A) Total hepatopathology scores (HP) were determined by scoring inflammation, karyomegaly, steatosis, bile pigment, and necrosis. Hematoxylin and eosin staining of hPXR (B) and mPxr−/− (C) mouse livers (20×), arrows indicate bile plugs.