Metabolomics‐based identification of metabolic alterations in PARK2. Issue 3 (21st February 2019)

• Record Type: Journal Article
• Authors: Okuzumi, Ayami; Hatano, Taku; Ueno, Shin‐Ichi; Ogawa, Takashi; Saiki, Shinji; Mori, Akio; Koinuma, Takahiro; Oji, Yutaka; Ishikawa, Kei‐Ichi; Fujimaki, Motoki; Sato, Shigeto; Ramamoorthy, Sivapriya; Mohney, Robert P.; Hattori, Nobutaka
• Is Part Of: Annals of clinical and translational neurology. Volume 6:Issue 3(2019)
• Page Start: 525
• Page End: 536
• Publication Date: 2019-02-21
• Subjects: Nervous system -- Diseases -- Periodicals; Neurology -- Periodicals; 616.8005
• DOI: 10.1002/acn3.724
• Languages: English
• ISSNs: 2328-9503

Abstract

Abstract: Objective: Parkin is the causative gene for autosomal recessive familial Parkinson's disease (PD), although it remains unclear how parkin dysfunction is involved with the general condition. Recently, serum and/or plasma metabolomics revealed alterations in metabolic pathways that might reflect pathomechanisms of idiopathic PD (iPD). Thus, we hypothesized that serum metabolomics of patients with homozygous or compound heterozygous parkin mutations (namely, PARK2) might reflect metabolic alterations due to parkin dysfunction. Methods: We enrolled 15 PARK2 patients (52 ± 17.6 years) confirmed with homozygous (seven cases) and compound heterozygous (eight cases) parkin mutations, along with 19 healthy age‐matched controls (51 ± 11.5 years). We analyzed 830 metabolites from participants' serum using well‐established metabolomics technologies, including ultra‐high performance liquid chromatography/tandem mass spectroscopy. Results: Based on metabolic profiles, hierarchical matrix analysis can divide samples between control and PARK2 subjects. Profiles from PARK2 patients showed significantly higher levels of fatty acid (FA) metabolites and oxidized lipids, and significantly lower levels of antioxidant, caffeine, and benzoate‐related metabolites. Interpretation: Metabolomics can identify specific metabolic alterations in PARK2 patients compared with controls. Alterations in FA metabolites suggest a relationship between parkin function and lipid metabolism. The elevation of oxidized lipids in combination with decreasing antioxidants may reflect general hyperoxidative stress. Decreasing benzoate‐related metabolites might be due to the alteration in gut microbiota. Consequently, caffeine and its metabolites may be decreased due to malabsorption. These findings are similar to metabolic alterations in iPD. Thus, serum/plasma metabolomics may reflect the association between parkin dysfunction and parkinsonism.