Proteomic analysis of rat kidney under maleic acid treatment by SWATH‐MS technology

• Published in: Rapid communications in mass spectrometry Vol. 34; no. S1; pp. e8633 - n/a
• Main Authors: Chien, Han‐Ju, Xue, Yu‐Ting, Chen, Hsin‐Chang, Wu, Kuen‐Yuh, Lai, Chien‐Chen
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.04.2020
• Subjects: Acidification; Animals; Biological activity; Biomarkers; Biosynthesis; Carbohydrate metabolism; Carbohydrates; Catalytic activity; Cytoplasm; Desalination; Hydrogen ions; Kidney - chemistry; Kidney - drug effects; Kidney - metabolism; Kidneys; Liquid chromatography; Maleates - adverse effects; Maleates - pharmacology; Maleic acid; Mass spectrometry; Mass Spectrometry - methods; Metabolism; Mitochondria; Ontology; Preservatives; Proteins; Proteome - analysis; Proteome - metabolism; Proteomics - methods; Quadrupoles; Rats, Sprague-Dawley
• ISSN: 0951-4198; 1097-0231
• DOI: 10.1002/rcm.8633

Rationale Maleic acid is an industrial‐grade chemical that is often used in adhesives, stabilizers, and preservatives. It is unknown whether long‐term consumption of maleic acid modified starch is harmful to humans. However, many studies have indicated that maleic acid causes renal tubular damage in animal models, even as the associated pathways remain unclear. Sequential window acquisition of all theoretical fragment ion spectra (SWATH) is the most innovative of the label‐free quantitative technologies which have better quantification performance. Therefore, SWATH technology was used to investigate the effect of maleic acid on the rat kidney proteome in this study. Methods Sprague‐Dawley(SD) rats were treated with 0 mg/kg (control), 6 mg/kg (low‐dose), 10 mg/kg (medium‐dose), and 60 mg/kg (high‐dose) of maleic acid. After kidney protein extraction, 28% SDS‐PAGE was used, followed by in‐gel digestion and desalting. Next, the samples were analyzed with ultra‐performance liquid chromatography (UPLC) coupled with quadrupole time‐of‐flight mass spectrometry (Q‐TOF MS), and data‐dependent acquisition (DDA) and SWATH technology were also used. The gene ontology and pathway analysis were accomplished. Ultimately, these protein biomarkers were validated by using scheduled high‐resolution multiple reaction monitoring (sMRMHR). Results Comparisons of the control group with the other three groups revealed that 95, 130, and 103 proteins were expressed at significantly different levels in the control group and in the low‐dose, medium‐dose, and high‐dose groups, respectively. According to the gene ontology analysis, the major processes that these proteins were involved in were metabolic processes, biological regulation, cellular processes, and responses to stimuli; the major functions that these proteins were involved in were binding, hydrolase activity, catalytic activity, and oxidoreductase activity; and the major cellular components hat they were involved in were the cytoplasm, extracellular region, membrane, and mitochondria. According to the KEGG pathway analysis, these proteins were involved in 35 pathways, five of which, the carbohydrate metabolism, folate biosynthesis, renal tubular resorption, amino acid metabolism, and Ras signaling pathways, are discussed in this study. Ultimately, 19 proteins involved in 12 important pathways were validated by sMRMHR. Conclusions It was demonstrated that maleic acid caused insufficient energy production, which might lead to a decrease in the activity of the sodium‐potassium ATP pump and hydrogen ion ATP pump, which could in turn have caused renal tubular resorption and hydrogen ion regulation to be blocked, thus leading to the accumulation of hydrogen ions in the renal tubules, which would then result in renal tubular acidification followed finally by Fanconi syndrome.