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      Metabolomics‐based identification of metabolic alterations in PARK2

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          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.

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          Most cited references25

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          Polyunsaturated fatty acids and their metabolites in brain function and disease.

          The brain is highly enriched with fatty acids. These include the polyunsaturated fatty acids (PUFAs) arachidonic acid and docosahexaenoic acid, which are largely esterified to the phospholipid cell membrane. Once PUFAs are released from the membrane, they can participate in signal transduction, either directly or after enzymatic conversion to a variety of bioactive derivatives ('mediators'). PUFAs and their mediators regulate several processes within the brain, such as neurotransmission, cell survival and neuroinflammation, and thereby mood and cognition. PUFA levels and the signalling pathways that they regulate are altered in various neurological disorders, including Alzheimer's disease and major depression. Diet and drugs targeting PUFAs may lead to novel therapeutic approaches for the prevention and treatment of brain disorders.
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            Organization of GC/MS and LC/MS metabolomics data into chemical libraries

            Background Metabolomics experiments involve generating and comparing small molecule (metabolite) profiles from complex mixture samples to identify those metabolites that are modulated in altered states (e.g., disease, drug treatment, toxin exposure). One non-targeted metabolomics approach attempts to identify and interrogate all small molecules in a sample using GC or LC separation followed by MS or MSn detection. Analysis of the resulting large, multifaceted data sets to rapidly and accurately identify the metabolites is a challenging task that relies on the availability of chemical libraries of metabolite spectral signatures. A method for analyzing spectrometry data to identify and Qu antify I ndividual C omponents in a S ample, (QUICS), enables generation of chemical library entries from known standards and, importantly, from unknown metabolites present in experimental samples but without a corresponding library entry. This method accounts for all ions in a sample spectrum, performs library matches, and allows review of the data to quality check library entries. The QUICS method identifies ions related to any given metabolite by correlating ion data across the complete set of experimental samples, thus revealing subtle spectral trends that may not be evident when viewing individual samples and are likely to be indicative of the presence of one or more otherwise obscured metabolites. Results LC-MS/MS or GC-MS data from 33 liver samples were analyzed simultaneously which exploited the inherent biological diversity of the samples and the largely non-covariant chemical nature of the metabolites when viewed over multiple samples. Ions were partitioned by both retention time (RT) and covariance which grouped ions from a single common underlying metabolite. This approach benefitted from using mass, time and intensity data in aggregate over the entire sample set to reject outliers and noise thereby producing higher quality chemical identities. The aggregated data was matched to reference chemical libraries to aid in identifying the ion set as a known metabolite or as a new unknown biochemical to be added to the library. Conclusion The QUICS methodology enabled rapid, in-depth evaluation of all possible metabolites (known and unknown) within a set of samples to identify the metabolites and, for those that did not have an entry in the reference library, to create a library entry to identify that metabolite in future studies.
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              The Biochemistry and Physiology of Mitochondrial Fatty Acid β-Oxidation and Its Genetic Disorders

              Mitochondrial fatty acid β-oxidation (FAO) is the major pathway for the degradation of fatty acids and is essential for maintaining energy homeostasis in the human body. Fatty acids are a crucial energy source in the postabsorptive and fasted states when glucose supply is limiting. But even when glucose is abundantly available, FAO is a main energy source for the heart, skeletal muscle, and kidney. A series of enzymes, transporters, and other facilitating proteins are involved in FAO. Recessively inherited defects are known for most of the genes encoding these proteins. The clinical presentation of these disorders may include hypoketotic hypoglycemia, (cardio)myopathy, arrhythmia, and rhabdomyolysis and illustrates the importance of FAO during fasting and in hepatic and (cardio)muscular function. In this review, we present the current state of knowledge on the biochemistry and physiological functions of FAO and discuss the pathophysiological processes associated with FAO disorders.
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                Author and article information

                Contributors
                thatano@juntendo.ac.jp
                nhattori@juntendo.ac.jp
                Journal
                Ann Clin Transl Neurol
                Ann Clin Transl Neurol
                10.1002/(ISSN)2328-9503
                ACN3
                Annals of Clinical and Translational Neurology
                John Wiley and Sons Inc. (Hoboken )
                2328-9503
                21 February 2019
                March 2019
                : 6
                : 3 ( doiID: 10.1002/acn3.2019.6.issue-3 )
                : 525-536
                Affiliations
                [ 1 ] Department of Neurology Juntendo University School of Medicine Tokyo Japan
                [ 2 ] Metabolon Inc. Durham North Carolina
                Author notes
                [*] [* ] Correspondence

                Taku Hatano and Nobutaka Hattori, 2‐1‐1, Hongo, Bunkyo‐ku, Tokyo 113‐8421, Japan. Tel: +31‐3‐3813‐3111; Fax: +31‐3‐5800‐0547; E‐mails: thatano@ 123456juntendo.ac.jp ; nhattori@ 123456juntendo.ac.jp

                [†]

                Both authors contributed equally to this work.

                Article
                ACN3724
                10.1002/acn3.724
                6414487
                30911576
                5c1bfefa-f485-4f2d-9529-b466f9177c75
                © 2019 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 28 December 2018
                : 31 December 2018
                Page count
                Figures: 5, Tables: 2, Pages: 12, Words: 6369
                Funding
                Funded by: Japan Science and Technology Agency
                Funded by: Japan Agency for Medical Research and Development
                Award ID: JP18ek0109393
                Funded by: Ministry of Health, Labour and Welfare, Japan
                Funded by: Brain Mapping by Integrated Neurotechnologies for Disease Studies Project
                Funded by: Intractable Diseases, Health, Labour and Welfare Sciences Research
                Funded by: Research Committee of CNS Degenerative Disease, Research on Policy Planning and Evaluation
                This work was funded by Japan Science and Technology Agency grant ; Japan Agency for Medical Research and Development grant JP18ek0109393; Ministry of Health, Labour and Welfare, Japan grant ; Brain Mapping by Integrated Neurotechnologies for Disease Studies Project grant ; Intractable Diseases, Health, Labour and Welfare Sciences Research grant ; Research Committee of CNS Degenerative Disease, Research on Policy Planning and Evaluation grant .
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                acn3724
                March 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.1 mode:remove_FC converted:13.03.2019

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