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      The lack of association between ubiquinol‐cytochrome c reductase core protein I ( UQCRC1) variants and Parkinson's disease in an eastern Chinese population

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          Abstract

          1 Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease, affecting approximately 2%‐3% of the global population aged ≥65 years. 1 The loss of dopaminergic (DA) neurons in the substantia nigral pars compacta (SNc) and intracellular α‐synuclein deposition are known as PD’s pivotal pathological characteristics. Although its etiology remains to be fully elucidated, the hypothesis that environmental and genetic factors play essential roles in the initiation and progression of PD is acknowledged worldwide. 2 Over the past two decades, substantial progress has been made in our understanding of the genetic basis of parkinsonism through the identification of 19 monogenic disease‐causing genes. In addition, emerging evidence suggests that some monogenic genes can also increase the risk of sporadic PD through different mechanisms. 3 Previous studies have demonstrated that mitochondrial dysfunction plays a fundamental role in the pathogenesis of PD. 4 Moreover, mitochondrial homeostasis has been related to mutations of Parkin, Pink1, and DJ‐1. 5 Ubiquinol‐cytochrome c reductase core protein I (UQCRC1) is a component of the complex III in the respiratory chain complex. Recently, Lin et al used a whole‐exome sequencing and discovered a novel candidate pathogenetic missense variant (c.941A > C p.Y314S) of the UQCRC1 gene in a Taiwanese family with autosomal dominant parkinsonism. 6 To further investigate the association between UQCRC1 and PD in eastern China, we performed a UQCRC1 genetic analysis in a cohort of sporadic PD patients and healthy controls. We recruited 452 Chinese Han patients with sporadic PD and 450 sex‐, age‐, and ethnicity‐matched healthy controls from the Second Affiliated Hospital of Zhejiang University (Hangzhou, China) between October 2016 and January 2019. All study participants were diagnosed according to the Movement Disorder Society clinical diagnostic criteria for PD. 7 The basic information and demographic characteristics of participants are all shown in Data S1. All participants provided written informed consent. This study was approved by the Ethics Committee of the Second Affiliated Hospital of Zhejiang University of Medicine. Blood samples were obtained from all participants. Genomic DNA was then extracted from peripheral blood leukocytes using the QIAamp DNA Blood Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer's protocol. The exon and intron‐exon boundaries of the UQCRC1 gene were amplified by polymerase chain reaction. Detailed information on primers and annealing temperature is shown in Data S2. DNA products were directly sequenced using a Genetic Analyzer (ABI 3730XL) and analyzed with Chromas software and Mutation Surveyor software (SoftGenetics). PD cases and healthy controls were matched for age and sex using a nonparametric test (Shapiro‐Wilk normality test, P < .05) and Pearson's χ 2 test, respectively. We also used Pearson's χ 2 test, χ 2 with Yates correction test or Fisher exact test to compare the allele frequencies in PD patients and healthy controls. The Hardy‐Weinberg principle was used to ascertain the normal distribution of genotype frequencies in PD patients and healthy controls. Statistical analysis was performed using SPSS20.0 software (SPSS Inc). A two‐tailed P < .05 was considered as threshold for statistical significance. The pathogenicity of missense variants was predicted using in silico tools including PolyPhen2, SIFT, CADD, as recommended by the American College of Medical Genetics and Genomics. 8 In this study, we enrolled 452 sporadic PD cases and 450 healthy controls. There were no significant differences in age and sex distribution between patients and controls (Data S1). We identified three synonymous variants (p.V388=, p.A108=, and p.S473=) and four nonsynonymous variants (p.D215H, p.S4A, p.P267R, and p.N308S) of the UQCRC1 gene. The p.A108 = and p.S4A variants were detected exclusively in PD patients (Table 1). Moreover, the homozygous p.V388 = variant and the p.P267R variant were identified separately in two PD patients. However, we did not detect the previously reported p.Y314S variant (Lin et al, 2019). Analysis using publicly available resources indicated all four nonsynonymous variants should not be deleterious (Table 2). Furthermore, the frequencies of the seven variants showed no statistically significant differences between PD patients and controls. Representative images of the variants are presented in Data S3. TABLE 1 Variants identified in UQCRC1 in our study Chromosomal position Accession number Variant Number of carrying variants PD vs controls cDNA Amino acid PD Controls OR (95%CI) P Chr3:48637964 rs140583334 c.1164G>T p.V388= 42 40 1.050 (0.667‐1.654) 0.833 Chr3:48642187 NA c.324C>T p.A108= 1 0 NA 1.000 Chr3:48636585 rs182453765 c.1419C>T p.S473= 12 14 0.849 (0.388‐1.857) 0.682 Chr3:48641060 rs17080284 c.643G>C p.D215H 29 31 0.927 (0.549‐1.565) 0.776 Chr3:48647044 NA c.10T > G p.S4A 1 0 NA 1.000 Chr3:48638807 rs149245457 c.800C>G p.P267R 22 15 1.484 (0.759‐2.899) 0.245 Chr3:48638451 rs187641562 c.923A>G p.N308S 2 3 0.662 (0.110‐3.982) 0.996 Abbreviations: CI, confidence interval; NA, not available; OR, odds ratio; P, P‐value; PD, Parkinson's disease. John Wiley & Sons, Ltd TABLE 2 Allele frequencies and pathogenicity prediction of identified UQCRC1 missense variants Missense variants Freq.gnom AD(East Asian) Freq.ExAC (East Asian) Freq.1000G (East Asian) SIFT score Polyphen2 score CADD p.D215H 0.0291 0.0327 0.0238 0.097 0.997 25.4 p.S4A NA NA NA 0.274 0.175 12.69 p.P267R 0.0410 0.0360 0.0526 0.051 0.052 9 p.N308S 0.0034 0.0042 0.002 0.258 0.093 15.41 Note Threshold values for deleteriousness: SIFT <0.05; polyphen2 >0.86; CADD >15. Abbreviation: NA, not available. John Wiley & Sons, Ltd The UQCRC1 gene encodes ubiquinol‐cytochrome c reductase core protein I, which is a subunit of complex III of the respiratory chain. As one of eleven subunits of complex III, UQCRC1 is a nuclear‐encoded protein localized in the inner mitochondrial membrane. Previous studies of UQCRC1 have focused mainly on its roles in various tumors, such as malignant pleural mesothelioma and pancreatic ductal adenocarcinoma, suggesting that UQCRC1 may contribute to carcinogenesis. 9 , 10 Notably, mitochondrial dysfunction also plays a crucial role in the pathogenesis of PD. 4 , 11 Therefore, it can be hypothesized that UQCRC1 variants may play a role in the development of PD. Recently, UQCRC1 was identified as a candidate pathogenic gene for PD. 6 Nevertheless, we did not find an association between sporadic PD and UQCRC1 in our study. Our data do not support that UQCRC1 mutation is a common genetic factor for sporadic patients in eastern China, but our study cannot rule out its pathogenic role in PD due to the limited ethnic background and sample size. Furthermore, in consideration of the role of outer mitochondrial membrane signaling in Parkinson's disease, proteins residing in or translocating to the outer mitochondrial membrane following mitochondrial activities deserve closer attention and be important in genetic analyses for PD. 12 In conclusion, our study indicates that UQCRC1 may not be involved in pathogenesis of PD in eastern China. Further genetic analysis with larger sample sizes from diverse ethnic populations and functional assays are still needed to clarify the role of UQCRC1 in the pathogenesis of PD. CONFLICT OF INTEREST The authors declare no conflicts of interest. FUNDING INFORMATION This work was supported by the National Natural Science Foundation of China (No. 81520108010 and 81771216) and the Primary Research and Development Plan of Zhejiang Province (No. 2020C03020). REFERENCES 1 Poewe W , Seppi K , Tanner CM , et al. Parkinson disease. Nat Rev Dis Primers. 2017;3:17013.28332488 2 Pang SY , Ho PW , Liu HF , et al. The interplay of aging, genetics and environmental factors in the pathogenesis of Parkinson's disease. Transl Neurodegener. 2019;8:23.31428316 3 Reed X , Bandres‐Ciga S , Blauwendraat C , Cookson MR . The role of monogenic genes in idiopathic Parkinson's disease. Neurobiol Dis. 2019;124:230‐239.30448284 4 Grunewald A , Kumar KR , Sue CM . New insights into the complex role of mitochondria in Parkinson's disease. Prog Neurogibol. 2019;177:73‐93. 5 Larsen SB , Hanss Z , Krüger R . The genetic architecture of mitochondrial dysfunction in Parkinson’s disease. Cell Tissue Res. 2018;373(1):21‐37.29372317 6 Lin CH , Chen PL , Tai CH , et al. A clinical and genetic study of early‐onset and familial parkinsonism in taiwan: an integrated approach combining gene dosage analysis and next‐generation sequencing. Mov Disord. 2019;34(4):506‐515.30788857 7 Postuma RB , Berg D , Stern M , et al. MDS clinical diagnostic criteria for Parkinson's disease. Mov Disord. 2015;30(12):1591‐1601.26474316 8 Richards S , Aziz N , Bale S , et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405‐423.25741868 9 Torricelli F , Saxena A , Nuamah R , et al. Genomic analysis in short‐ and long‐term patients with malignant pleura mesothelioma treated with palliative chemotherapy. Eur J Cancer. 2020;132:104‐111.32339978 10 Wang Q , Li M , Gan Y , et al. Mitochondrial protein UQCRC1 is oncogenic and a potential therapeutic target for pancreatic cancer. Theranostics. 2020;10(5):2141‐2157.32089737 11 Cowan K , Anichtchik O , Luo S . Mitochondrial integrity in neurodegeneration. CNS Neurosci Ther. 2019;25(7):825‐836.30746905 12 Lucero M , Suarez AE , Chambers JW . Phosphoregulation on mitochondria: Integration of cell and organelle responses. CNS Neurosci Ther. 2019;25(7):837‐858.31025544 Supporting information Data S1 Click here for additional data file. Data S2 Click here for additional data file. Data S3 Click here for additional data file.

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          New insights into the complex role of mitochondria in Parkinson’s disease

          New discoveries providing insights into mitochondrial bioenergetics, their dynamic interactions as well as their role in cellular homeostasis have dramatically advanced our understanding of the neurodegenerative process of Parkinson's disease (PD). Respiratory chain impairment is a key feature in sporadic PD patients and there is growing evidence that links proteins encoded by PD-associated genes to disturbances in mitochondrial function. Against the backdrop of latest advances in the development of PD treatments that target mitochondria, we aim to give an overview of the literature published in the last three decades on the significance of mitochondria in the pathogenesis of PD. We describe the contribution of mitochondrial genome alterations and PD-associated genes to mitochondrial maintenance. We highlight mitophagy as a key mechanism in neurodegeneration. Moreover, we focus on the reciprocal interaction between alpha-synuclein aggregation and mitochondrial dysfunction. We discuss a novel trafficking pathway involving mitochondrial-derived vesicles within the context of PD and provide a synopsis of the most recently emerging topics in PD research with respect to mitochondria. This includes the relationship between mitochondria and cell-mediated immunity, the ER-mitochondria axis, sirtuin-mediated mitochondrial stress response and the role of micro RNAs in the aetiology of PD. In addition, recent studies have challenged the neuro-centric view of PD pathology, moving microglia and astrocytes into the research spotlight. Greater insights into these mechanisms may hold the key for the development of novel targeted therapies, addressing the need for a disease-modifying treatment, which has remained elusive to date.
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            The interplay of aging, genetics and environmental factors in the pathogenesis of Parkinson’s disease

            Background Parkinson’s disease (PD) is characterized by dopaminergic neuronal loss in the substantia nigra pars compacta and intracellular inclusions called Lewy bodies (LB). During the course of disease, misfolded α-synuclein, the major constituent of LB, spreads to different regions of the brain in a prion-like fashion, giving rise to successive non-motor and motor symptoms. Etiology is likely multifactorial, and involves interplay among aging, genetic susceptibility and environmental factors. Main body The prevalence of PD rises exponentially with age, and aging is associated with impairment of cellular pathways which increases susceptibility of dopaminergic neurons to cell death. However, the majority of those over the age of 80 do not have PD, thus other factors in addition to aging are needed to cause disease. Discovery of neurotoxins which can result in parkinsonism led to efforts in identifying environmental factors which may influence PD risk. Nevertheless, the causality of most environmental factors is not conclusively established, and alternative explanations such as reverse causality and recall bias cannot be excluded. The lack of geographic clusters and conjugal cases also go against environmental toxins as a major cause of PD. Rare mutations as well as common variants in genes such as SNCA, LRRK2 and GBA are associated with risk of PD, but Mendelian causes collectively only account for 5% of PD and common polymorphisms are associated with small increase in PD risk. Heritability of PD has been estimated to be around 30%. Thus, aging, genetics and environmental factors each alone is rarely sufficient to cause PD for most patients. Conclusion PD is a multifactorial disorder involving interplay of aging, genetics and environmental factors. This has implications on the development of appropriate animal models of PD which take all these factors into account. Common converging pathways likely include mitochondrial dysfunction, impaired autophagy, oxidative stress and neuroinflammation, which are associated with the accumulation and spread of misfolded α-synuclein and neurodegeneration. Understanding the mechanisms involved in the initiation and progression of PD may lead to potential therapeutic targets to prevent PD or modify its course.
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              The genetic architecture of mitochondrial dysfunction in Parkinson’s disease

              Mitochondrial impairment is a well-established pathological pathway implicated in Parkinson’s disease (PD). Defects of the complex I of the mitochondrial respiratory chain have been found in post-mortem brains from sporadic PD patients. Furthermore, several disease-related genes are linked to mitochondrial pathways, such as PRKN, PINK1, DJ-1 and HTRA2 and are associated with mitochondrial impairment. This phenotype can be caused by the dysfunction of mitochondrial quality control machinery at different levels: molecular, organellar or cellular. Mitochondrial unfolded protein response represents the molecular level and implicates various chaperones and proteases. If the molecular level of quality control is not sufficient, the organellar level is required and involves mitophagy and mitochondrial-derived vesicles to sequester whole dysfunctional organelle or parts of it. Only when the impairment is too severe, does it lead to cell death via apoptosis, which defines the cellular level of quality control. Here, we review how currently known PD-linked genetic variants interfere with different levels of mitochondrial quality control. We discuss the graded risk concept of the most recently identified PARK loci (PARK 17–23) and some susceptibility variants in GBA, LRRK2 and SNCA. Finally, the emerging concept of rare genetic variants in candidates genes for PD, such as HSPA9, TRAP1 and RHOT1, complete the picture of the complex genetic architecture of PD that will direct future precision medicine approaches.
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                Author and article information

                Contributors
                jialipu@zju.edu.cn
                brzhang@zju.edu.cn
                Journal
                CNS Neurosci Ther
                CNS Neurosci Ther
                10.1111/(ISSN)1755-5949
                CNS
                CNS Neuroscience & Therapeutics
                John Wiley and Sons Inc. (Hoboken )
                1755-5930
                1755-5949
                14 July 2020
                September 2020
                : 26
                : 9 ( doiID: 10.1111/cns.v26.9 )
                : 990-992
                Affiliations
                [ 1 ] Department of Neurology Second Affiliated Hospital College of Medicine Zhejiang University Hangzhou China
                Author notes
                [*] [* ] Correspondence

                Bao‐Rong Zhang and Jia‐Li Pu, Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310009, China.

                Email: brzhang@ 123456zju.edu.cn ; jialipu@ 123456zju.edu.cn

                Author information
                https://orcid.org/0000-0002-2540-703X
                https://orcid.org/0000-0002-6719-4060
                https://orcid.org/0000-0002-8099-7407
                Article
                CNS13436
                10.1111/cns.13436
                7415203
                32666668
                c92cb1ca-5ef0-405a-bc1e-31e253b12240
                © 2020 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 June 2020
                : 25 June 2020
                : 25 June 2020
                Page count
                Figures: 0, Tables: 2, Pages: 3, Words: 1748
                Funding
                Funded by: Primary Research and Development Plan of Zhejiang Province
                Award ID: 2020C03020
                Funded by: National Natural Science Foundation of China
                Award ID: 81520108010
                Award ID: 81771216
                Categories
                Letter to the Editor
                Letter to the Editor
                Custom metadata
                2.0
                September 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.6 mode:remove_FC converted:09.08.2020

                Neurosciences
                Neurosciences

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