Identification of ADAM23 as a Potential Signature for Psoriasis Using Integrative Machine-Learning and Experimental Verification

References

• Walter K. Psoriasis. JAMA. 2022;327(19):1936. doi:10.1001/jama.2022.5270
   PubMedGoogle Scholar
• Omland SH, Gniadecki R. Psoriasis inversa: a separate identity or a variant of psoriasis vulgaris? Clin Dermatol. 2015;33(4):456–461. doi:10.1016/j.clindermatol.2015.04.007
   PubMed Web of Science ®Google Scholar
• Armstrong AW, Read C. Pathophysiology, Clinical Presentation, and Treatment of Psoriasis: a Review. JAMA. 2020;323(19):1945–1960. doi:10.1001/jama.2020.4006
   PubMed Web of Science ®Google Scholar
• Rendon A, Schäkel K. Psoriasis Pathogenesis and Treatment. Int J Mol Sci. 2019;20(6):1475. doi:10.3390/ijms20061475
   PubMed Web of Science ®Google Scholar
• Tokuyama M, Mabuchi T. New Treatment Addressing the Pathogenesis of Psoriasis. Int J Mol Sci. 2020;21(20):7488. doi:10.3390/ijms21207488
   PubMed Web of Science ®Google Scholar
• Campione E, Cosio T, Di Prete M, Lanna C, Dattola A, Bianchi L. Experimental Pharmacological Management of Psoriasis. J Exp Pharmacol. 2021;13:725–737. doi:10.2147/JEP.S265632
   PubMedGoogle Scholar
• Campione E, Mazzilli S, Di Prete M, et al. The Role of Glutathione-S Transferase in Psoriasis and Associated Comorbidities and the Effect of Dimethyl Fumarate in This Pathway. Front Med Lausanne. 2022;9:760852. doi:10.3389/fmed.2022.760852
   PubMed Web of Science ®Google Scholar
• Al-Hammadi A, Ruszczak Z, Magariños G, Chu CY, El Dershaby Y, Tarcha N. Intermittent use of biologic agents for the treatment of psoriasis in adults. J Eur Academy Dermatol Venereol. 2021;35(2):360–367. doi:10.1111/jdv.16803
   PubMed Web of Science ®Google Scholar
• Gordon KB, Strober B, Lebwohl M, et al. Efficacy and safety of risankizumab in moderate-to-severe plaque psoriasis (UltIMMa-1 and UltIMMa-2): results from two double-blind, randomised, placebo-controlled and ustekinumab-controlled Phase 3 trials. Lancet. 2018;392(10148):650–661. doi:10.1016/S0140-6736(18)31713-6
   PubMed Web of Science ®Google Scholar
• Uppala R, Tsoi LC, Harms PW, et al. “Autoinflammatory psoriasis”-genetics and biology of pustular psoriasis. Cell Mol Immunol. 2021;18(2):307–317. doi:10.1038/s41423-020-0519-3
   PubMed Web of Science ®Google Scholar
• Lowes MA, Suárez-Fariñas M, Krueger JG. Immunology of psoriasis. Annu Rev Immunol. 2014;32(1):227–255. doi:10.1146/annurev-immunol-032713-120225
   PubMed Web of Science ®Google Scholar
• Lebwohl M, Soliman AM, Yang H, Wang J, Freimark J, Puig L. Impact of PASI response on work productivity and the effect of risankizumab on indirect costs using machine learning in patients with moderate-to-severe psoriasis. J DermatolTreat. 2022;33(4):2094–2101. doi:10.1080/09546634.2021.1919287
   Google Scholar
• Gottlieb AB, Mease PJ, Kirkham B, et al. Secukinumab Efficacy in Psoriatic Arthritis: machine Learning and Meta-analysis of Four Phase 3 Trials. J Clin Rheumatol. 2021;27(6):239–247. doi:10.1097/RHU.0000000000001302
   PubMed Web of Science ®Google Scholar
• Meienberger N, Anzengruber F, Amruthalingam L, et al. Observer-independent assessment of psoriasis-affected area using machine learning. J Eur Academy Dermatol Venereol. 2020;34(6):1362–1368. doi:10.1111/jdv.16002
   PubMed Web of Science ®Google Scholar
• Martínez BA, Shrotri S, Kingsmore KM, Bachali P, Grammer AC, Lipsky PE. Machine learning reveals distinct gene signature profiles in lesional and nonlesional regions of inflammatory skin diseases. Sci Adv. 2022;8(17):eabn4776. doi:10.1126/sciadv.abn4776
   PubMed Web of Science ®Google Scholar
• Hughes TK, Wadsworth MH, Gierahn TM, et al. Second-Strand Synthesis-Based Massively Parallel scRNA-Seq Reveals Cellular States and Molecular Features of Human Inflammatory Skin Pathologies. Immunity. 2020;53(4):878–94.e7. doi:10.1016/j.immuni.2020.09.015
   PubMed Web of Science ®Google Scholar
• Liu Y, Wang H, Taylor M, et al. Classification of human chronic inflammatory skin disease based on single-cell immune profiling. Sci Immunol. 2022;7(70):eabl9165. doi:10.1126/sciimmunol.abl9165
   PubMed Web of Science ®Google Scholar
• Barrett T, Wilhite SE, Ledoux P, et al. NCBI GEO: archive for functional genomics data sets—update. Nucleic Acids Res. 2012;41(D1):D991–D995. doi:10.1093/nar/gks1193
   PubMed Web of Science ®Google Scholar
• Suárez-Fariñas M, Li K, Fuentes-Duculan J, Hayden K, Brodmerkel C, Krueger JG. Expanding the psoriasis disease profile: interrogation of the skin and serum of patients with moderate-to-severe psoriasis. J Invest Dermatol. 2012;132(11):2552–2564. doi:10.1038/jid.2012.184
   PubMed Web of Science ®Google Scholar
• Correa da Rosa J, Kim J, Tian S, Tomalin LE, Krueger JG, Suárez-Fariñas M. Shrinking the Psoriasis Assessment Gap: early Gene-Expression Profiling Accurately Predicts Response to Long-Term Treatment. J Invest Dermatol. 2017;137(2):305–312. doi:10.1016/j.jid.2016.09.015
   PubMed Web of Science ®Google Scholar
• Reischl J, Schwenke S, Beekman JM, Mrowietz U, Stürzebecher S, Heubach JF. Increased expression of Wnt5a in psoriatic plaques. J Invest Dermatol. 2007;127(1):163–169. doi:10.1038/sj.jid.5700488
   PubMed Web of Science ®Google Scholar
• Bigler J, Rand HA, Kerkof K, Timour M, Russell CB. Cross-study homogeneity of psoriasis gene expression in skin across a large expression range. PLoS One. 2013;8(1):e52242. doi:10.1371/journal.pone.0052242
   PubMed Web of Science ®Google Scholar
• Gentleman RC, Carey VJ, Bates DM, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5(10):R80. doi:10.1186/gb-2004-5-10-r80
   PubMed Web of Science ®Google Scholar
• Ritchie ME, Phipson B, Wu D, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47–e47. doi:10.1093/nar/gkv007
   PubMed Web of Science ®Google Scholar
• Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics. 2012;16(5):284–287. doi:10.1089/omi.2011.0118
   PubMed Web of Science ®Google Scholar
• Walter W, Sánchez-Cabo F, Ricote M. GOplot: an R package for visually combining expression data with functional analysis. Bioinformatics. 2015;31(17):2912–2914. doi:10.1093/bioinformatics/btv300
   PubMed Web of Science ®Google Scholar
• Breiman L. Random Forests. Machine Learning. 2001;45(1):5–32. doi:10.1023/A:1010933404324
   Web of Science ®Google Scholar
• Tibshirani R. Regression Shrinkage and Selection via The Lasso: a Retrospective. J Royal Statistical Society Series B. 2011;73(3):273–282. doi:10.1111/j.1467-9868.2011.00771.x
   Google Scholar
• Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinf. 2008;9(1):559. doi:10.1186/1471-2105-9-559
   PubMed Web of Science ®Google Scholar
• Yoon S, Kim S. AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM. BMC Med Inform Decis Mak. 2009;9 Suppl 1(Suppl 1):S1. doi:10.1186/1472-6947-9-S1-S1
   PubMedGoogle Scholar
• Chen B, Khodadoust MS, Liu CL, Newman AM, Alizadeh AA. Profiling Tumor Infiltrating Immune Cells with CIBERSORT. Methods Mol Biol. 2018;1711:243–259.
   PubMedGoogle Scholar
• Huang J, Feng X, Zeng J, et al. Aberrant HO-1/NQO1-Reactive Oxygen Species-ERK Signaling Pathway Contributes to Aggravation of TPA-Induced Irritant Contact Dermatitis in Nrf2-Deficient Mice. J Immunol. 2022;208(6):1424–1433. doi:10.4049/jimmunol.2100577
   PubMed Web of Science ®Google Scholar
• Ge Y, Luo J, Li D, et al. Deficiency of vitamin D receptor in keratinocytes augments dermal fibrosis and inflammation in a mouse model of HOCl-induced scleroderma. Biochem Biophys Res Commun. 2022;591:1–6. doi:10.1016/j.bbrc.2021.12.085
   PubMed Web of Science ®Google Scholar
• Guo F, Zhu X, Wu Z, Zhu L, Wu J, Zhang F. Clinical applications of machine learning in the survival prediction and classification of sepsis: coagulation and heparin usage matter. J Transl Med. 2022;20(1):265. doi:10.1186/s12967-022-03469-6
   PubMed Web of Science ®Google Scholar
• Yue S, Li S, Huang X, et al. Machine learning for the prediction of acute kidney injury in patients with sepsis. J Transl Med. 2022;20(1):215. doi:10.1186/s12967-022-03364-0
   PubMed Web of Science ®Google Scholar
• Nestle FO, Kaplan DH, Barker J. Psoriasis. N Engl J Med. 2009;361(5):496–509. doi:10.1056/NEJMra0804595
   PubMed Web of Science ®Google Scholar
• Elizondo DM, Andargie TE, Marshall KM, Zariwala AM, Lipscomb MW. Dendritic cell expression of ADAM23 governs T cell proliferation and cytokine production through the α(v)β(3) integrin receptor. J Leukoc Biol. 2016;100(5):855–864. doi:10.1189/jlb.2HI1115-525R
   PubMed Web of Science ®Google Scholar
• Kim HA, Park WJ, Jeong HS, et al. Leucine-rich glioma inactivated 3 regulates adipogenesis through ADAM23. Biochim Biophys Acta. 2012;1821(6):914–922. doi:10.1016/j.bbalip.2012.02.010
   PubMed Web of Science ®Google Scholar
• Kim HA, Kwon NS, Baek KJ, Kim DS, Yun HY. Leucine-rich glioma inactivated 3 and tumor necrosis factor-α regulate mutually through NF-κB. Cytokine. 2015;72(2):220–223. doi:10.1016/j.cyto.2014.12.023
   PubMed Web of Science ®Google Scholar
• Kim IW, Jeong HS, Kwon NS, Baek KJ, Yun HY, Kim DS. LGI3 promotes human keratinocyte differentiation via the Akt pathway. Exp Dermatol. 2018;27(11):1224–1229. doi:10.1111/exd.13766
   PubMed Web of Science ®Google Scholar
• Yu J, Zhao Q, Wang X, et al. Pathogenesis, multi-omics research, and clinical treatment of psoriasis. J Autoimmun. 2022;133:102916. doi:10.1016/j.jaut.2022.102916
   PubMed Web of Science ®Google Scholar
• Goldsmith AP, Gossage SJ, ffrench-Constant C. ADAM23 is a cell-surface glycoprotein expressed by central nervous system neurons. J Neurosci Res. 2004;78(5):647–658. doi:10.1002/jnr.20320
   PubMed Web of Science ®Google Scholar
• Hsia HE, Tüshaus J, Brummer T, Zheng Y, Scilabra SD, Lichtenthaler SF. Functions of ‘A disintegrin and metalloproteases (ADAMs)’ in the mammalian nervous system. Cell Mol Life Sci. 2019;76(16):3055–3081. doi:10.1007/s00018-019-03173-7
   PubMed Web of Science ®Google Scholar
• Markus-Koch A, Schmitt O, Seemann S, et al. ADAM23 promotes neuronal differentiation of human neural progenitor cells. Cell Mol Biol Lett. 2017;22(1):16. doi:10.1186/s11658-017-0045-1
   PubMedGoogle Scholar
• Riol-Blanco L, Ordovas-Montanes J, Perro M, et al. Nociceptive sensory neurons drive interleukin-23-mediated psoriasiform skin inflammation. Nature. 2014;510(7503):157–161. doi:10.1038/nature13199
   PubMed Web of Science ®Google Scholar
• Cohen JA, Edwards TN, Liu AW, et al. Cutaneous TRPV1(+) Neurons Trigger Protective Innate Type 17 Anticipatory Immunity. Cell. 2019;178(4):919–32.e14. doi:10.1016/j.cell.2019.06.022
   PubMed Web of Science ®Google Scholar
• Cai X, Han M, Lou F, et al. Tenascin C(+) papillary fibroblasts facilitate neuro-immune interaction in a mouse model of psoriasis. Nat Commun. 2023;14(1):2004.
   PubMed Web of Science ®Google Scholar
• Liluashvili S, Kituashvili T. Dermatology Life Quality Index and disease coping strategies in psoriasis patients. Postepy Dermatol Alergol. 2019;36(4):419–424. doi:10.5114/ada.2018.75810
   PubMed Web of Science ®Google Scholar
• Weiglein A, Gaffal E, Albrecht A. Probing the Skin-Brain Axis: new Vistas Using Mouse Models. Int J Mol Sci. 2022;23(13):7484. doi:10.3390/ijms23137484
   PubMed Web of Science ®Google Scholar