2017
DOI: 10.3389/fmolb.2017.00008
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Unveiling the Metabolic Changes on Muscle Cell Metabolism Underlying p-Phenylenediamine Toxicity

Abstract: Rhabdomyolysis is a disorder characterized by acute damage of the sarcolemma of the skeletal muscle leading to release of potentially toxic muscle cell components into the circulation, most notably creatine phosphokinase (CK) and myoglobulin, and is frequently accompanied by myoglobinuria. In the present work, we evaluated the toxicity of p-phenylenediamine (PPD), a main component of hair dyes which is reported to induce rhabdomyolysis. We studied the metabolic effect of this compound in vivo with Wistar rats … Show more

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Cited by 8 publications
(3 citation statements)
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“…Valine, a branched-chain amino acid (BCAA), is recognized as a potent arginase inhibitor, exerting a significant regulatory role in arginine metabolism and demonstrating notable effects on the growth and differentiation of HT-29 cells [53,54].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Valine, a branched-chain amino acid (BCAA), is recognized as a potent arginase inhibitor, exerting a significant regulatory role in arginine metabolism and demonstrating notable effects on the growth and differentiation of HT-29 cells [53,54].…”
Section: Discussionmentioning
confidence: 99%
“…In case the predicted exchange reaction flux in the baseline model is zero, upper and lower boundaries of 10 and −10 are set for the characterization of the case-specific GEM. The applicability of this approach can extend to the integration of other types of metabolomic data, including intracellular metabolomics or labeled metabolomics [54].…”
Section: Exometabolomics Data Integrationmentioning
confidence: 99%
“…In case the predicted exchange reaction flux in the base-line model is zero, an upper and lower boundaries of 10 and -10 are set for the characterization of the case-specific GEM. The applicability of this approach can extend to the integration of other types of metabolomic data, including intracellular metabolomics or labeled metabolomics [46].…”
Section: Exometabolomics Data Integrationmentioning
confidence: 99%