{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T22:15:28Z","timestamp":1783376128288,"version":"3.54.6"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T00:00:00Z","timestamp":1778889600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T00:00:00Z","timestamp":1778889600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Mol Neurosci"],"DOI":"10.1007\/s12031-026-02541-w","type":"journal-article","created":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T12:51:31Z","timestamp":1778935891000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy"],"prefix":"10.1007","volume":"76","author":[{"given":"Zhipeng","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongqi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhibiao","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jialong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pu","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,16]]},"reference":[{"issue":"1","key":"2541_CR1","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.neurobiolaging.2014.08.004","volume":"36","author":"B Ansoleaga","year":"2015","unstructured":"Ansoleaga B et al (2015) Deregulation of purine metabolism in Alzheimer\u2019s disease. Neurobiol Aging 36(1):68\u201380","journal-title":"Neurobiol Aging"},{"key":"2541_CR2","doi-asserted-by":"publisher","first-page":"1613379","DOI":"10.3389\/fncel.2025.1613379","volume":"19","author":"SP B","year":"2025","unstructured":"B SP, Talwar P (2025) Influence of palmitoylation in axonal transport mechanisms in neurodegenerative diseases. Front Cell Neurosci 19:1613379","journal-title":"Front Cell Neurosci"},{"key":"2541_CR3","doi-asserted-by":"crossref","unstructured":"Buszka A et al (2023) S-Palmitoylation of Synaptic proteins in neuronal plasticity in normal and pathological brains. Cells 12(3):387","DOI":"10.3390\/cells12030387"},{"key":"2541_CR4","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/978-1-4939-7493-1_12","volume":"1711","author":"B Chen","year":"2018","unstructured":"Chen B et al (2018) Profiling Tumor Infiltrating Immune Cells with CIBERSORT. Methods Mol Biol 1711:243\u2013259","journal-title":"Methods Mol Biol"},{"key":"2541_CR5","doi-asserted-by":"publisher","first-page":"1337478","DOI":"10.3389\/fimmu.2024.1337478","volume":"15","author":"Y Chen","year":"2024","unstructured":"Chen Y, Li Y, Wu L (2024) Protein S-palmitoylation modification: implications in tumor and tumor immune microenvironment. Front Immunol 15:1337478","journal-title":"Front Immunol"},{"key":"2541_CR6","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.phrs.2016.06.008","volume":"111","author":"E Cho","year":"2016","unstructured":"Cho E, Park M (2016) Palmitoylation in Alzheimer\u2019s disease and other neurodegenerative diseases. Pharmacol Res 111:133\u2013151","journal-title":"Pharmacol Res"},{"issue":"6","key":"2541_CR7","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1038\/s41580-024-00700-8","volume":"25","author":"SM F","year":"2024","unstructured":"F SM et al (2024) Mechanisms and functions of protein S-acylation. Nat Rev Mol Cell Biol 25(6):488\u2013509","journal-title":"Nat Rev Mol Cell Biol"},{"key":"2541_CR8","doi-asserted-by":"publisher","first-page":"116408","DOI":"10.1016\/j.ejmech.2024.116408","volume":"271","author":"Z Fan","year":"2024","unstructured":"Fan Z et al (2024) Modulators for palmitoylation of proteins and small molecules. Eur J Med Chem 271:116408","journal-title":"Eur J Med Chem"},{"key":"2541_CR9","doi-asserted-by":"crossref","unstructured":"Fujisawa K (2023) Regulation of adenine nucleotide metabolism by adenylate kinase isozymes: Physiological roles and diseases. Int J Mol Sci 24(6):5561","DOI":"10.3390\/ijms24065561"},{"issue":"7","key":"2541_CR10","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1111\/nan.12221","volume":"41","author":"P Garcia-Esparcia","year":"2015","unstructured":"Garcia-Esparcia P et al (2015) Purine metabolism gene deregulation in Parkinson\u2019s disease. Neuropathol Appl Neurobiol 41(7):926\u2013940","journal-title":"Neuropathol Appl Neurobiol"},{"key":"2541_CR11","doi-asserted-by":"crossref","unstructured":"Georgopoulou M et al Motor System Oligodendroglia Atlas Reveals Activation States Associated with Region-Specific Vulnerability in ALS. bioRxiv 2025:2025.2012.2009.693234","DOI":"10.64898\/2025.12.09.693234"},{"issue":"8","key":"2541_CR12","doi-asserted-by":"publisher","first-page":"e70722","DOI":"10.1002\/brb3.70722","volume":"15","author":"Q Guo","year":"2025","unstructured":"Guo Q et al (2025) Multi-Omics Mendelian Randomization Identifies a DNA Methylation-ZDHHC20-Immune Axis Associated With Schizophrenia Risk. Brain Behav 15(8):e70722","journal-title":"Brain Behav"},{"issue":"2","key":"2541_CR13","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1038\/s41587-023-01767-y","volume":"42","author":"Y Hao","year":"2024","unstructured":"Hao Y et al (2024) Dictionary learning for integrative, multimodal and scalable single-cell analysis. Nat Biotechnol 42(2):293\u2013304","journal-title":"Nat Biotechnol"},{"key":"2541_CR14","doi-asserted-by":"publisher","first-page":"5","DOI":"10.3390\/cells12050739","volume":"12","author":"JT Hsiao","year":"2023","unstructured":"Hsiao JT et al (2023) Role of oligodendrocyte lineage cells in multiple system atrophy. Cells 12:5","journal-title":"Cells"},{"issue":"1","key":"2541_CR15","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1038\/s41467-025-56344-5","volume":"16","author":"B Huang","year":"2025","unstructured":"Huang B et al (2025) Palmitoylation-dependent regulation of GPX4 suppresses ferroptosis. Nat Commun 16(1):867","journal-title":"Nat Commun"},{"issue":"Suppl 12","key":"2541_CR16","doi-asserted-by":"publisher","first-page":"S29","DOI":"10.1002\/mds.20537","volume":"20","author":"KA Jellinger","year":"2005","unstructured":"Jellinger KA, Seppi K, Wenning GK (2005) Grading of neuropathology in multiple system atrophy: proposal for a novel scale. Mov Disord 20(Suppl 12):S29\u201336","journal-title":"Mov Disord"},{"key":"2541_CR17","doi-asserted-by":"crossref","unstructured":"Jeong HK et al (2025) Micro-scale control of oligodendrocyte morphology and myelination by the intellectual disability-linked protein acyltransferase ZDHHC9. Elife 13:RP97151","DOI":"10.7554\/eLife.97151.3"},{"key":"2541_CR18","doi-asserted-by":"crossref","unstructured":"Ko PJ, Dixon SJ (2018) Protein palmitoylation and cancer. EMBO Rep 19(10):e46666","DOI":"10.15252\/embr.201846666"},{"issue":"12","key":"2541_CR19","doi-asserted-by":"publisher","first-page":"1252","DOI":"10.1016\/S1474-4422(24)00396-X","volume":"23","author":"F Krismer","year":"2024","unstructured":"Krismer F et al (2024) Multiple system atrophy: advances in pathophysiology, diagnosis, and treatment. Lancet Neurol 23(12):1252\u20131266","journal-title":"Lancet Neurol"},{"key":"2541_CR20","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.jns.2016.04.037","volume":"366","author":"Y Lai","year":"2016","unstructured":"Lai Y et al (2016) Down-regulation of adenylate kinase 5 in temporal lobe epilepsy patients and rat model. J Neurol Sci 366:20\u201326","journal-title":"J Neurol Sci"},{"issue":"1","key":"2541_CR21","first-page":"548","volume":"1","author":"DM Leisch","year":"2024","unstructured":"Leisch DM (2024) a.E.D.a.K.H.a.A.W.a.F. e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien. Arxiv preprint arXiv 1(1):548","journal-title":"Arxiv preprint arXiv"},{"issue":"Database issue","key":"2541_CR22","doi-asserted-by":"publisher","first-page":"D92","DOI":"10.1093\/nar\/gkt1248","volume":"42","author":"JH Li","year":"2014","unstructured":"Li JH et al (2014) starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data. Nucleic Acids Res 42(Database issue):D92\u201397","journal-title":"Nucleic Acids Res"},{"issue":"12","key":"2541_CR23","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1186\/s13059-014-0550-8","volume":"15","author":"MI Love","year":"2014","unstructured":"Love MI, Huber W, Anders S (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15(12):550","journal-title":"Genome Biol"},{"issue":"6","key":"2541_CR24","doi-asserted-by":"publisher","first-page":"1214","DOI":"10.1038\/s41401-024-01248-1","volume":"45","author":"B Lu","year":"2024","unstructured":"Lu B et al (2024) zDHHC20-driven S-palmitoylation of CD80 is required for its costimulatory function. Acta Pharmacol Sin 45(6):1214\u20131223","journal-title":"Acta Pharmacol Sin"},{"key":"2541_CR25","doi-asserted-by":"crossref","unstructured":"Lucas C et al (2016) Yeast Gup1(2) Proteins are homologues of the hedgehog morphogens acyltransferases HHAT(L): Facts and implications. J Dev Biol 4(4):33","DOI":"10.3390\/jdb4040033"},{"key":"2541_CR26","doi-asserted-by":"crossref","unstructured":"Mantle D, Hargreaves IP (2022) Mitochondrial dysfunction and neurodegenerative disorders: Role of nutritional supplementation. Int J Mol Sci 23(20):12603","DOI":"10.3390\/ijms232012603"},{"issue":"7761","key":"2541_CR27","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1038\/s41586-019-1195-2","volume":"570","author":"H Mathys","year":"2019","unstructured":"Mathys H et al (2019) Single-cell transcriptomic analysis of Alzheimer\u2019s disease. Nature 570(7761):332\u2013337","journal-title":"Nature"},{"issue":"10","key":"2541_CR28","doi-asserted-by":"publisher","first-page":"2357","DOI":"10.1016\/j.neurobiolaging.2014.02.028","volume":"35","author":"VE May","year":"2014","unstructured":"May VE et al (2014) \u03b1-Synuclein impairs oligodendrocyte progenitor maturation in multiple system atrophy. Neurobiol Aging 35(10):2357\u20132368","journal-title":"Neurobiol Aging"},{"issue":"52","key":"2541_CR29","doi-asserted-by":"publisher","first-page":"21517","DOI":"10.1074\/jbc.M117.800482","volume":"292","author":"TM McMichael","year":"2017","unstructured":"McMichael TM et al (2017) The palmitoyltransferase ZDHHC20 enhances interferon-induced transmembrane protein 3 (IFITM3) palmitoylation and antiviral activity. J Biol Chem 292(52):21517\u201321526","journal-title":"J Biol Chem"},{"issue":"1","key":"2541_CR30","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1146\/annurev-pathmechdis-051122-104528","volume":"20","author":"A Ndayisaba","year":"2025","unstructured":"Ndayisaba A, Halliday GM, Khurana V (2025) Multiple System Atrophy: Pathology, Pathogenesis, and Path Forward. Annu Rev Pathol 20(1):245\u2013273","journal-title":"Annu Rev Pathol"},{"issue":"5","key":"2541_CR31","doi-asserted-by":"publisher","first-page":"1588","DOI":"10.1093\/brain\/awae355","volume":"148","author":"GS Nido","year":"2025","unstructured":"Nido GS et al (2025) Single-nucleus transcriptomics reveals disease- and pathology-specific signatures in \u03b1-synucleinopathies. Brain 148(5):1588\u20131603","journal-title":"Brain"},{"issue":"Pt 12","key":"2541_CR32","doi-asserted-by":"publisher","first-page":"2657","DOI":"10.1093\/brain\/awh303","volume":"127","author":"T Ozawa","year":"2004","unstructured":"Ozawa T et al (2004) The spectrum of pathological involvement of the striatonigral and olivopontocerebellar systems in multiple system atrophy: clinicopathological correlations. Brain 127(Pt 12):2657\u20132671","journal-title":"Brain"},{"issue":"1","key":"2541_CR33","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1186\/s40478-020-00950-5","volume":"8","author":"IS Piras","year":"2020","unstructured":"Piras IS et al (2020) Transcriptional profiling of multiple system atrophy cerebellar tissue highlights differences between the parkinsonian and cerebellar sub-types of the disease. Acta Neuropathol Commun 8(1):76","journal-title":"Acta Neuropathol Commun"},{"issue":"1","key":"2541_CR34","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1038\/s41572-022-00382-6","volume":"8","author":"W Poewe","year":"2022","unstructured":"Poewe W et al (2022) Multiple system atrophy. Nat Rev Dis Primers 8(1):56","journal-title":"Nat Rev Dis Primers"},{"key":"2541_CR35","doi-asserted-by":"publisher","first-page":"9283","DOI":"10.2147\/JIR.S529581","volume":"18","author":"X Qi","year":"2025","unstructured":"Qi X et al (2025) Integrated Analysis of Ferroptosis- and Cellular Senescence-Related Biomarkers in Atherosclerosis Based on Machine Learning and Single-Cell Sequencing Data. J Inflamm Res 18:9283\u20139305","journal-title":"J Inflamm Res"},{"issue":"3","key":"2541_CR36","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1038\/nmeth.4150","volume":"14","author":"X Qiu","year":"2017","unstructured":"Qiu X et al (2017a) Single-cell mRNA quantification and differential analysis with Census. Nat Methods 14(3):309\u2013315","journal-title":"Nat Methods"},{"issue":"10","key":"2541_CR37","doi-asserted-by":"publisher","first-page":"979","DOI":"10.1038\/nmeth.4402","volume":"14","author":"X Qiu","year":"2017","unstructured":"Qiu X et al (2017b) Reversed graph embedding resolves complex single-cell trajectories. Nat Methods 14(10):979\u2013982","journal-title":"Nat Methods"},{"issue":"D1","key":"2541_CR38","doi-asserted-by":"publisher","first-page":"D174","DOI":"10.1093\/nar\/gkad1059","volume":"52","author":"I Rauluseviciute","year":"2024","unstructured":"Rauluseviciute I et al (2024) JASPAR 2024: 20th anniversary of the open-access database of transcription factor binding profiles. Nucleic Acids Res 52(D1):D174\u2013d182","journal-title":"Nucleic Acids Res"},{"issue":"7825","key":"2541_CR39","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1038\/s41586-020-2317-6","volume":"585","author":"M Schweighauser","year":"2020","unstructured":"Schweighauser M et al (2020) Structures of \u03b1-synuclein filaments from multiple system atrophy. Nature 585(7825):464\u2013469","journal-title":"Nature"},{"issue":"1","key":"2541_CR40","doi-asserted-by":"publisher","first-page":"e96","DOI":"10.1017\/cts.2024.536","volume":"8","author":"MS Siddiqui","year":"2024","unstructured":"Siddiqui MS, Shahi MH, Castresana JS (2024) The role of the adenylate kinase 5 gene in various diseases and cancer. J Clin Transl Sci 8(1):e96","journal-title":"J Clin Transl Sci"},{"issue":"2","key":"2541_CR41","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1038\/nrg3642","volume":"15","author":"D Sims","year":"2014","unstructured":"Sims D et al (2014) Sequencing depth and coverage: key considerations in genomic analyses. Nat Rev Genet 15(2):121\u2013132","journal-title":"Nat Rev Genet"},{"issue":"9","key":"2541_CR42","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1038\/nbt.2957","volume":"32","author":"Z Su","year":"2014","unstructured":"Su Z et al (2014) A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium. Nat Biotechnol 32(9):903\u2013914","journal-title":"Nat Biotechnol"},{"key":"2541_CR43","doi-asserted-by":"crossref","unstructured":"Tanaka MT et al (2025) Pathological and molecular insights into the early stage of multiple system atrophy. Cells 14(24):1966","DOI":"10.3390\/cells14241966"},{"issue":"4","key":"2541_CR44","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1038\/nbt.2859","volume":"32","author":"C Trapnell","year":"2014","unstructured":"Trapnell C et al (2014) The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat Biotechnol 32(4):381\u2013386","journal-title":"Nat Biotechnol"},{"issue":"2","key":"2541_CR45","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1046\/j.1432-1327.1999.00294.x","volume":"261","author":"AR Van Rompay","year":"1999","unstructured":"Van Rompay AR, Johansson M, Karlsson A (1999) Identification of a novel human adenylate kinase. cDNA cloning, expression analysis, chromosome localization and characterization of the recombinant protein. Eur J Biochem 261(2):509\u2013517","journal-title":"Eur J Biochem"},{"issue":"1","key":"2541_CR46","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1186\/s40035-023-00370-0","volume":"12","author":"L Wan","year":"2023","unstructured":"Wan L et al (2023) Multidimensional biomarkers for multiple system atrophy: an update and future directions. Transl Neurodegener 12(1):38","journal-title":"Transl Neurodegener"},{"issue":"3","key":"2541_CR47","doi-asserted-by":"publisher","first-page":"782","DOI":"10.1093\/bioinformatics\/btz619","volume":"36","author":"J Wang","year":"2020","unstructured":"Wang J, Devlin B, Roeder K (2020) Using multiple measurements of tissue to estimate subject- and cell-type-specific gene expression. Bioinformatics 36(3):782\u2013788","journal-title":"Bioinformatics"},{"issue":"2","key":"2541_CR48","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/S1474-4422(03)00662-8","volume":"3","author":"GK Wenning","year":"2004","unstructured":"Wenning GK et al (2004) Multiple system atrophy. Lancet Neurol 3(2):93\u2013103","journal-title":"Lancet Neurol"},{"issue":"6","key":"2541_CR49","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1002\/mds.29005","volume":"37","author":"GK Wenning","year":"2022","unstructured":"Wenning GK et al (2022) The Movement Disorder Society Criteria for the Diagnosis of Multiple System Atrophy. Mov Disord 37(6):1131\u20131148","journal-title":"Mov Disord"},{"issue":"5","key":"2541_CR50","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1089\/omi.2011.0118","volume":"16","author":"G Yu","year":"2012","unstructured":"Yu G et al (2012) clusterProfiler: an R package for comparing biological themes among gene clusters. Omics 16(5):284\u2013287","journal-title":"Omics"},{"issue":"1","key":"2541_CR51","doi-asserted-by":"publisher","first-page":"4642","DOI":"10.1038\/s41467-024-49105-3","volume":"15","author":"H Zhang","year":"2024","unstructured":"Zhang H et al (2024) ZDHHC20-mediated S-palmitoylation of YTHDF3 stabilizes MYC mRNA to promote pancreatic cancer progression. Nat Commun 15(1):4642","journal-title":"Nat Commun"},{"key":"2541_CR52","unstructured":"Zhou KR, Liu HJ, Zheng S, Liu WJ SR, An Encyclopedic Regulatory and Functional Atlas of RNA Interactomes"}],"container-title":["Journal of Molecular Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12031-026-02541-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12031-026-02541-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12031-026-02541-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T22:02:59Z","timestamp":1783375379000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12031-026-02541-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,16]]},"references-count":52,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,6]]}},"alternative-id":["2541"],"URL":"https:\/\/doi.org\/10.1007\/s12031-026-02541-w","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-8711800\/v1","asserted-by":"object"}]},"ISSN":["1559-1166"],"issn-type":[{"value":"1559-1166","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,16]]},"assertion":[{"value":"27 January 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"The authors declare no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"85"}}