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Electrodermal activity and its molecular mechanisms: Unraveling insights into skin diseases

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    1. Electrodermal activity (EDA) is increasingly vital due to non-invasive diagnostics, and real-time health monitoring.

      Enhanced technology enables monitoring signals from inflammation, fibrosis, and sweat gland disorders.

      Bioimpedance and machine learning integration significantly improve EDA reliability.

  • Electrodermal activity (EDA) refers to the changes in electrical potential recorded on the skin surface, which mainly reflect the electrical properties of the skin and sympathetic nerve activity reflected by sweat secretion. Various dermatoses impair the skin barrier and alter the function of innervated nerves, resulting in significant fluctuations in EDA. This review aims to provide a comprehensive overview of the molecular mechanisms underlying representative skin symptoms related to inflammation, fibrosis, and sweat gland disorders, and to explore the correlation of these mechanisms with EDA components. The physiological significance of EDA is discussed to provide a new perspective for the clinical application of EDA.
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  • [1] Banganho, A., Santos, M., and da Silva, H.P. (2022). Electrodermal activity: Fundamental principles, measurement, and application. IEEE Potentials 41: 35−43. DOI: 10.1109/MPOT.2020.2983381.

    View in Article CrossRef Google Scholar

    [2] Abe, Y. and Nishizawa, M. (2021). Electrical aspects of skin as a pathway to engineering skin devices. APL Bioeng 5: 041509. DOI: 10.1063/5.0064529.

    View in Article CrossRef Google Scholar

    [3] Tronstad, C., Amini, M., Bach, D.R., et al. (2022). Current trends and opportunities in the methodology of electrodermal activity measurement. Physiol. Meas. 43: 02TR01. DOI: 10.1088/1361-6579/ac5007.

    View in Article CrossRef Google Scholar

    [4] Edelberg, R. (1993). Electrodermal mechanisms: A critique of the two-effector hypothesis and a proposed replacement. Roy, J.-C., Boucsein, W., Fowles, D.C., et al. (ed). Progress in electrodermal research (Springer US), pp: 7-29.

    View in Article Google Scholar

    [5] Vetrugno, R., Liguori, R., Cortelli, P., et al. (2003). Sympathetic skin response: Basic mechanisms and clinical applications. Clin. Auton. Res. 13: 256−270. DOI: 10.1007/s10286-003-0107-5.

    View in Article CrossRef Google Scholar

    [6] Tagami, H. (2014). Electrical measurement of the hydration state of the skin surface in vivo. Br. J. Dermatol. 171 Suppl 3 : 29-33. DOI: 10.1111/bjd.13245.

    View in Article Google Scholar

    [7] Calero, J.A.M., Páez-Montoro, A., López-Ongil, C., et al. (2023). Self-adjustable galvanic skin response sensor for physiological monitoring. IEEE Sens. J. 23: 3005−3019. DOI: 10.1109/JSEN.2022.3233439.

    View in Article CrossRef Google Scholar

    [8] Posada-Quintero, H.F. and Chon, K.H. (2020). Innovations in electrodermal activity data collection and signal processing: A systematic review. Sensors 20: 479. DOI: 10.3390/s20020479.

    View in Article CrossRef Google Scholar

    [9] Boucsein, W., Fowles, D.C., Grimnes, S., et al. (2012). Publication recommendations for electrodermal measurements. Psychophysiology 49: 1017−1034. DOI: 10.1111/j.1469-8986.2012.01384.x.

    View in Article CrossRef Google Scholar

    [10] Pabst, O., Tronstad, C., Grimnes, S., et al. (2017). Comparison between the ac and dc measurement of electrodermal activity. Psychophysiology 54: 374−385. DOI: 10.1111/psyp.12803.

    View in Article CrossRef Google Scholar

    [11] Sim, D.J.K., Kim, S.M., Kim, S.S., et al. (2019). Portable skin analyzers with simultaneous measurements of transepidermal water loss, skin conductance and skin hardness. Sensors 19: 3857. DOI: 10.3390/s19183857.

    View in Article CrossRef Google Scholar

    [12] Jang, H., Sel, K., Kim, E., et al. (2022). Graphene e-tattoos for unobstructive ambulatory electrodermal activity sensing on the palm enabled by heterogeneous serpentine ribbons. Nat. Commun. 13: 6604. DOI: 10.1038/s41467-022-34406-2.

    View in Article CrossRef Google Scholar

    [13] Nittala, A.S., Karrenbauer, A., Khan, A., et al. (2021). Computational design and optimization of electro-physiological sensors. Nat. Commun. 12: 6351. DOI: 10.1038/s41467-021-26442-1.

    View in Article CrossRef Google Scholar

    [14] Kim, S., Lee, B., Reeder, J.T., et al. (2020). Soft, skin-interfaced microfluidic systems with integrated immunoassays, fluorometric sensors, and impedance measurement capabilities. Proc. Natl. Acad. Sci. USA. 117 : 27906-27915. DOI: 10.1073/pnas.2012700117.

    View in Article Google Scholar

    [15] Ray, P.P., Dash, D., and De, D. (2019). Analysis and monitoring of iot-assisted human physiological galvanic skin responsefactor for smart e-healthcare. Sensor Review 39: 525−541. DOI: 10.1108/SR-07-2018-0181.

    View in Article CrossRef Google Scholar

    [16] Wruhs, M., Gleiß, A., Steiner, A., et al. (2017). Quantity and quality of sweating in atopic dermatitis. Arch. Dermatol. Res. 309: 787−793. DOI: 10.1007/s00403-017-1770-z.

    View in Article CrossRef Google Scholar

    [17] Tronstad, C., Kalvøy, H., Grimnes, S., et al. (2013). Waveform difference between skin conductance and skin potential responses in relation to electrical and evaporative properties of skin. Psychophysiology 50 : 1070-1078. DOI: 10.1111/psyp.12092.

    View in Article Google Scholar

    [18] Kim, J., Ku, B., Bae, J.H., et al. (2018). Contrast in the circadian behaviors of an electrodermal activity and bioimpedance spectroscopy. Chronobiol. Int. 35: 1413−1422. DOI: 10.1080/07420528.2018.1486852.

    View in Article CrossRef Google Scholar

    [19] Tekatas, A., Koca, S.S., Tekatas, D.D., et al. (2014). R-r interval variation and sympathetic skin response in systemic lupus erythematosus. Clin. Rheumatol. 33: 65−70. DOI: 10.1007/s10067-013-2391-3.

    View in Article CrossRef Google Scholar

    [20] Badry, R., Gamal, R.M., Hassanien, M.M., et al. (2018). Sympathetic skin response in patients with systemic sclerosis and rheumatoid arthritis. Egypt. J. Neurol. Psychiat. Neurosurg. 54: 38. DOI: 10.1186/s41983-018-0044-9.

    View in Article CrossRef Google Scholar

    [21] Emad, M.R., Farpour, H.R., Ahmed, F., et al. (2022). Is there any sympathetic skin response abnormality in raynaud phenomenon. Sultan Qaboos Univ. Med. J. 22: 274−279. DOI: 10.18295/squmj.4.2021.066.

    View in Article CrossRef Google Scholar

    [22] Memis, Z., Çevik, N., Acar, H., et al. (2022). The first electrophysiological abnormality in new-onset DM: Autonomic tests. Noro. Psikiyatr. Ars. 59 : 197-200. DOI: 10.29399/npa.27952.

    View in Article Google Scholar

    [23] Margaritella, N., Mendozzi, L., Garegnani, M., et al. (2018). Sympathetic skin response in multiple sclerosis: A meta-analysis of case-control studies. Neurol. Sci. 39: 45−52. DOI: 10.1007/s10072-017-3111-6.

    View in Article CrossRef Google Scholar

    [24] Halıgür, B.D., Cicek, D., Bulut, S., et al. (2012). The investigation of autonomic functions in patients with psoriasis. Int. J. Dermatol. 51: 557−563. DOI: 10.1111/j.1365-4632.2011.05111.x.

    View in Article CrossRef Google Scholar

    [25] Ghandali, E., Hosseini, S.M., Moghimi, H.R., et al. (2020). Intra tester reliability of sympathetic skin responses in subjects with primary palmar hyperhidrosis. J. Bodyw. Mov. Ther. 24: 57−62. DOI: 10.1016/j.jbmt.2020.02.024.

    View in Article CrossRef Google Scholar

    [26] Altunrende, B., Yildiz, S., Kandi, B., et al. (2013). Sympathetic skin responses from the scalp evoked by electrical stimulation in seborrheic dermatitis. J. Dermatol. 40: 458−462. DOI: 10.1111/1346-8138.12114.

    View in Article CrossRef Google Scholar

    [27] Ulvi, H., Yoldaş, T., Yiğiter, R., et al. (2003). R-r interval variation and the sympathetic skin response in the assessment of the autonomic nervous system in leprosy patients. Acta Neurol. Scand 107: 42−49. DOI: 10.1034/j.1600-0404.2003.01307.x.

    View in Article CrossRef Google Scholar

    [28] Cabalar, M., Yayla, V., Ulutas, S., et al. (2014). The clinical & neurophysiological study of leprosy. Pak J Med Sci 30: 501−506. DOI: 10.12669/pjms.303.5354.

    View in Article CrossRef Google Scholar

    [29] Khan, A., Kamran, S., Ponirakis, G., et al. (2018). Peripheral neuropathy in patients with multiple sclerosis. PLoS One 13: e0193270. DOI: 10.1371/journal.pone.0193270.

    View in Article CrossRef Google Scholar

    [30] Dolu, N., Ferahbaş, A., Özesmi, Ç., et al. (2005). Effect of puva therapy on electrodermal activity parameters in vitiligo patients. Auton. Neurosci. 118: 102−107. DOI: 10.1016/j.autneu.2004.12.005.

    View in Article CrossRef Google Scholar

    [31] Eckert, R.L. and Rorke, E.A. (1989). Molecular biology of keratinocyte differentiation. Environ. Health Perspect. 80: 109−116. DOI: 10.1289/ehp.8980109.

    View in Article CrossRef Google Scholar

    [32] Vičić, M., Kaštelan, M., Brajac, I., et al. (2021). Current concepts of psoriasis immunopathogenesis. Int. J. Mol. Sci. 22: 11574. DOI: 10.3390/ijms222111574.

    View in Article CrossRef Google Scholar

    [33] Furue, M., Furue, K., Tsuji, G., et al. (2020). Interleukin-17a and keratinocytes in psoriasis. Int. J. Mol. Sci. 21: 1275. DOI: 10.3390/ijms21041275.

    View in Article CrossRef Google Scholar

    [34] Zhou, X., Chen, Y., Cui, L., et al. (2022). Advances in the pathogenesis of psoriasis: From keratinocyte perspective. Cell Death Dis. 13: 81. DOI: 10.1038/s41419-022-04523-3.

    View in Article CrossRef Google Scholar

    [35] Guo, Y., Luo, L., Zhu, J., et al. (2023). Multi-omics research strategies for psoriasis and atopic dermatitis. Int. J. Mol. Sci. 24: 8018. DOI: 10.3390/ijms24098018.

    View in Article CrossRef Google Scholar

    [36] Chiricozzi, A., Romanelli, P., Volpe, E., et al. (2018). Scanning the immunopathogenesis of psoriasis. Int. J. Mol. Sci. 19: 179. DOI: 10.3390/ijms19010179.

    View in Article CrossRef Google Scholar

    [37] Sabat, R., Wolk, K., Loyal, L., et al. (2019). T cell pathology in skin inflammation. Semin. Immunopathol. 41: 359−377. DOI: 10.1007/s00281-019-00742-7.

    View in Article CrossRef Google Scholar

    [38] Kim, J., Kim, B.E., and Leung, D.Y.M. (2019). Pathophysiology of atopic dermatitis: Clinical implications. Allergy Asthma Proc. 40: 84−92. DOI: 10.2500/aap.2019.40.4202.

    View in Article CrossRef Google Scholar

    [39] Sroka-Tomaszewska, J. and Trzeciak, M. (2021). Molecular mechanisms of atopic dermatitis pathogenesis. Int. J. Mol. Sci. 22: 4130. DOI: 10.3390/ijms22084130.

    View in Article CrossRef Google Scholar

    [40] Koivisto, A.P., Belvisi, M.G., Gaudet, R., et al. (2022). Advances in TRP channel drug discovery: From target validation to clinical studies. Nat. Rev. Drug Discov. 21: 41−59. DOI: 10.1038/s41573-021-00268-4.

    View in Article CrossRef Google Scholar

    [41] Zhang, M., Ma, Y., Ye, X., et al. (2023). TRP (transient receptor potential) ion channel family: Structures, biological functions and therapeutic interventions for diseases. Signal Transduct Target Ther. 8: 261. DOI: 10.1038/s41392-023-01464-x.

    View in Article CrossRef Google Scholar

    [42] Slominski, A.T., Zmijewski, M.A., Zbytek, B., et al. (2013). Key role of crf in the skin stress response system. Endocr. Rev. 34: 827−884. DOI: 10.1210/er.2012-1092.

    View in Article CrossRef Google Scholar

    [43] Rashighi, M. and Harris, J.E. (2017). Vitiligo pathogenesis and emerging treatments. Dermatol. Clin. 35: 257−265. DOI: 10.1016/j.det.2016.11.014.

    View in Article CrossRef Google Scholar

    [44] McGeachy, M.J., Cua, D.J., and Gaffen, S.L. (2019). The IL-17 family of cytokines in health and disease. Immunity 50: 892−906. DOI: 10.1016/j.immuni.2019.03.021.

    View in Article CrossRef Google Scholar

    [45] Li, X., Bechara, R., Zhao, J., et al. (2019). IL-17 receptor-based signaling and implications for disease. Nat. Immunol. 20: 1594−1602. DOI: 10.1038/s41590-019-0514-y.

    View in Article CrossRef Google Scholar

    [46] Zenobia, C. and Hajishengallis, G. (2015). Basic biology and role of interleukin-17 in immunity and inflammation. Periodontol. 2000 69 : 142-159. DOI: 10.1111/prd.12083.

    View in Article Google Scholar

    [47] Zouboulis, C.C., Seltmann, H., Hiroi, N., et al. (2002). Corticotropin-releasing hormone: An autocrine hormone that promotes lipogenesis in human sebocytes. Proc. Natl. Acad. Sci. USA. 99: 7148−7153. DOI: 10.1073/pnas.102180999.

    View in Article CrossRef Google Scholar

    [48] Zbytek, B., Pfeffer, L.M., and Slominski, A.T. (2006). CRH inhibits NF-kappa B signaling in human melanocytes. Peptides 27: 3276−3283. DOI: 10.1016/j.peptides.2006.07.017.

    View in Article CrossRef Google Scholar

    [49] Iftinca, M., Defaye, M., and Altier, C. (2021). TRPV1-targeted drugs in development for human pain conditions. Drugs 81: 7−27. DOI: 10.1007/s40265-020-01429-2.

    View in Article CrossRef Google Scholar

    [50] Kong, F., You, H., Zheng, K., et al. (2021). The crosstalk between pattern-recognition receptor signaling and calcium signaling. Int. J. Biol. Macromol. 192: 745−756. DOI: 10.1016/j.ijbiomac.2021.10.014.

    View in Article CrossRef Google Scholar

    [51] Zhang, F., Yang, H., Wang, Z., et al. (2007). Transient receptor potential vanilloid 1 activation induces inflammatory cytokine release in corneal epithelium through mapk signaling. J. Cell. Physiol. 213: 730−739. DOI: 10.1002/jcp.21141.

    View in Article CrossRef Google Scholar

    [52] Yuan, J., Liang, X., Zhou, W., et al. (2021). TRPA1 promotes cisplatin-induced nephrotoxicity through inflammation mediated by the mapk/nf-κb signaling pathway. Ann. Transl. Med. 9: 1578. DOI: 10.21037/atm-21-5125.

    View in Article CrossRef Google Scholar

    [53] Kang, J., Ding, Y., Li, B., et al. (2017). TRPA1 mediated aggravation of allergic contact dermatitis induced by DINP and regulated by NF-κB activation. Sci. Rep. 7: 43586. DOI: 10.1038/srep43586.

    View in Article CrossRef Google Scholar

    [54] Capobianchi, M.R., Uleri, E., Caglioti, C., et al. (2015). Type I IFN family members: Similarity, differences and interaction. Cytokine Growth Factor Rev. 26: 103−111. DOI: 10.1016/j.cytogfr.2014.10.011.

    View in Article CrossRef Google Scholar

    [55] Conrad, C. and Gilliet, M. (2018). Psoriasis: From pathogenesis to targeted therapies. Clin. Rev. Allergy Immunol. 54: 102−113. DOI: 10.1007/s12016-018-8668-1.

    View in Article CrossRef Google Scholar

    [56] Powell, M.D., Read, K.A., Sreekumar, B.K., et al. (2019). IL-12 signaling drives the differentiation and function of a TH1-derived TFH1-like cell population. Sci. Rep. 9: 13991. DOI: 10.1038/s41598-019-50614-1.

    View in Article CrossRef Google Scholar

    [57] Johnson-Huang, L.M., Suárez-Fariñas, M., Pierson, K.C., et al. (2012). A single intradermal injection of IFN-γ induces an inflammatory state in both non-lesional psoriatic and healthy skin. J. Invest. Dermatol. 132: 1177−1187. DOI: 10.1038/jid.2011.458.

    View in Article CrossRef Google Scholar

    [58] Mehta, N.N., Teague, H.L., Swindell, W.R., et al. (2017). IFN-γ and TNF-α synergism may provide a link between psoriasis and inflammatory atherogenesis. Sci. Rep. 7: 13831. DOI: 10.1038/s41598-017-14365-1.

    View in Article CrossRef Google Scholar

    [59] Rashighi, M., Agarwal, P., Richmond, J.M., et al. (2014). CXCL10 is critical for the progression and maintenance of depigmentation in a mouse model of vitiligo. Sci. Transl. Med. 6: 223ra223. DOI: 10.1126/scitranslmed.3007811.

    View in Article CrossRef Google Scholar

    [60] Rebane, A., Zimmermann, M., Aab, A., et al. (2012). Mechanisms of IFN-γ-induced apoptosis of human skin keratinocytes in patients with atopic dermatitis. J. Allergy Clin. Immunol. 129: 1297−1306. DOI: 10.1016/j.jaci.2012.02.020.

    View in Article CrossRef Google Scholar

    [61] Shao, S., Tsoi, L.C., Sarkar, M.K., et al. (2019). Ifn-γ enhances cell-mediated cytotoxicity against keratinocytes via jak2/stat1 in lichen planus. Sci. Transl. Med. 11: eaav7561. DOI: 10.1126/scitranslmed.aav7561.

    View in Article CrossRef Google Scholar

    [62] Okiyama, N. and Fujimoto, M. (2015). Clinical perspectives and murine models of lichenoid tissue reaction/interface dermatitis. J. Dermatol. Sci. 78: 167−172. DOI: 10.1016/j.jdermsci.2015.03.001.

    View in Article CrossRef Google Scholar

    [63] Madonna, S., Scarponi, C., Pallotta, S., et al. (2012). Anti-apoptotic effects of suppressor of cytokine signaling 3 and 1 in psoriasis. Cell Death Dis. 3: e334. DOI: 10.1038/cddis.2012.69.

    View in Article CrossRef Google Scholar

    [64] Wang, B., Han, D., Li, F., et al. (2020). Elevated IL-22 in psoriasis plays an anti-apoptotic role in keratinocytes through mediating Bcl-xl/Bax. Apoptosis 25: 663−673. DOI: 10.1007/s10495-020-01623-3.

    View in Article CrossRef Google Scholar

    [65] Srivastava, A., Luo, L., Lohcharoenkal, W., et al. (2021). Cross-talk between IFN-γ and TWEAK through miR-149 amplifies skin inflammation in psoriasis. J. Allergy Clin. Immunol. 147: 2225−2235. DOI: 10.1016/j.jaci.2020.12.657.

    View in Article CrossRef Google Scholar

    [66] Leone, G.M., Mangano, K., Petralia, M.C., et al. (2023). Past, present and (foreseeable) future of biological anti-TNF alpha therapy. J Clin Med 12: 1630. DOI: 10.3390/jcm12041630.

    View in Article CrossRef Google Scholar

    [67] Monaco, C., Nanchahal, J., Taylor, P., et al. (2015). Anti-tnf therapy: Past, present and future. Int. Immunol. 27: 55−62. DOI: 10.1093/intimm/dxu102.

    View in Article CrossRef Google Scholar

    [68] Wang, X., Cheng, D., Hu, G., et al. (2019). Tumor necrosis factor (TNF) receptor expression determines keratinocyte fate upon stimulation with TNF-like weak inducer of apoptosis. Mediators Inflamm. 2019: 2945083. DOI: 10.1155/2019/2945083.

    View in Article CrossRef Google Scholar

    [69] Cheng, H., Xu, M., Liu, X., et al. (2016). TWEAK/Fn14 activation induces keratinocyte proliferation under psoriatic inflammation. Exp. Dermatol. 25: 32−37. DOI: 10.1111/exd.12820.

    View in Article CrossRef Google Scholar

    [70] Peng, L., Li, Q., Wang, H., et al. (2018). Fn14 deficiency ameliorates psoriasis-like skin disease in a murine model. Cell Death Dis. 9: 801. DOI: 10.1038/s41419-018-0820-6.

    View in Article CrossRef Google Scholar

    [71] Buechler, M.B., Pradhan, R.N., Krishnamurty, A.T., et al. (2021). Cross-tissue organization of the fibroblast lineage. Nature 593: 575−579. DOI: 10.1038/s41586-021-03549-5.

    View in Article CrossRef Google Scholar

    [72] Lendahl, U., Muhl, L., and Betsholtz, C. (2022). Identification, discrimination and heterogeneity of fibroblasts. Nat. Commun. 13: 3409. DOI: 10.1038/s41467-022-30633-9.

    View in Article CrossRef Google Scholar

    [73] Cai, X., Han, M., Lou, F., et al. (2023). Tenascin C+ papillary fibroblasts facilitate neuro-immune interaction in a mouse model of psoriasis. Nat. Commun. 14: 2004. DOI: 10.1038/s41467-023-37798-x.

    View in Article CrossRef Google Scholar

    [74] Cohen, A.J., Nikbakht, N., and Uitto, J. (2023). Keloid disorder: Genetic basis, gene expression profiles, and immunological modulation of the fibrotic processes in the skin. Cold Spring Harb. Perspect. Biol. 15: a041245. DOI: 10.1101/cshperspect.a041245.

    View in Article CrossRef Google Scholar

    [75] de Morais, J., Velosa, A.P.P., Andrade, P.C., et al. (2022). Collagen V α1 chain decrease in papillary dermis from early systemic sclerosis: A new proposal in cutaneous fibrosis molecular structure. Int. J. Mol. Sci. 23: 12654. DOI: 10.3390/ijms232012654.

    View in Article CrossRef Google Scholar

    [76] Sawamura, S., Makino, K., Ide, M., et al. (2022). Elevated alpha 1(I) to alpha 2(I) collagen ratio in dermal fibroblasts possibly contributes to fibrosis in systemic sclerosis. Int. J. Mol. Sci. 23: 6811. DOI: 10.3390/ijms23126811.

    View in Article CrossRef Google Scholar

    [77] Do, N.N. and Eming, S.A. (2016). Skin fibrosis: Models and mechanisms. Curr. Res. Transl. Med. 64: 185−193. DOI: 10.1016/j.retram.2016.06.003.

    View in Article CrossRef Google Scholar

    [78] Driskell, R.R., Lichtenberger, B.M., Hoste, E., et al. (2013). Distinct fibroblast lineages determine dermal architecture in skin development and repair. Nature 504: 277−281. DOI: 10.1038/nature12783.

    View in Article CrossRef Google Scholar

    [79] Lichtenberger, B.M., Mastrogiannaki, M., and Watt, F.M. (2016). Epidermal β-catenin activation remodels the dermis via paracrine signalling to distinct fibroblast lineages. Nat. Commun. 7: 10537. DOI: 10.1038/ncomms10537.

    View in Article CrossRef Google Scholar

    [80] Li, B. and Wang, J.H. (2011). Fibroblasts and myofibroblasts in wound healing: Force generation and measurement. J. Tissue Viability 20: 108−120. DOI: 10.1016/j.jtv.2009.11.004.

    View in Article CrossRef Google Scholar

    [81] Sacchetti, C., Bai, Y., Stanford, S.M., et al. (2017). PTP4A1 promotes TGFβ signaling and fibrosis in systemic sclerosis. Nat. Commun. 8: 1060. DOI: 10.1038/s41467-017-01168-1.

    View in Article CrossRef Google Scholar

    [82] Varga, J. and Pasche, B. (2009). Transforming growth factor beta as a therapeutic target in systemic sclerosis. Nat. Rev. Rheumatol. 5: 200−206. DOI: 10.1038/nrrheum.2009.26.

    View in Article CrossRef Google Scholar

    [83] Burgy, O. and Königshoff, M. (2018). The WNT signaling pathways in wound healing and fibrosis. Matrix Biol. 68-69: 67−80. DOI: 10.1016/j.matbio.2018.03.017.

    View in Article CrossRef Google Scholar

    [84] Griffin, M.F., Huber, J., Evan, F.J., et al. (2022). The role of WNT signaling in skin fibrosis. Med. Res. Rev. 42: 615−628. DOI: 10.1002/med.21853.

    View in Article CrossRef Google Scholar

    [85] Meng, X.M., Nikolic-Paterson, D.J., and Lan, H.Y. (2016). TGF-β: The master regulator of fibrosis. Nat. Rev. Nephrol. 12: 325−338. DOI: 10.1038/nrneph.2016.48.

    View in Article CrossRef Google Scholar

    [86] Piersma, B., Bank, R.A., and Boersema, M. (2015). Signaling in fibrosis: TGF-β, WNT, and YAP/TAZ converge. Front. Med. 2: 59. DOI: 10.3389/fmed.2015.00059.

    View in Article CrossRef Google Scholar

    [87] Cui, H.S., Lee, Y.R., Ro, Y.M., et al. (2023). Knockdown of CPEB1 and CPEB4 inhibits scar formation via modulation of TAK1 and SMAD signaling. Ann. Dermatol. 35: 293−302. DOI: 10.5021/ad.22.210.

    View in Article CrossRef Google Scholar

    [88] Xu, Y.R. and Lei, C.Q. (2020). TAK1-TABs complex: A central signalosome in inflammatory responses. Front. Immunol. 11: 608976. DOI: 10.3389/fimmu.2020.608976.

    View in Article CrossRef Google Scholar

    [89] Hara, A. and Tallquist, M.D. (2023). Fibroblast and immune cell cross-talk in cardiac fibrosis. Curr. Cardiol. Rep. 25: 485−493. DOI: 10.1007/s11886-023-01877-8.

    View in Article CrossRef Google Scholar

    [90] Van Linthout, S., Miteva, K., and Tschöpe, C. (2014). Crosstalk between fibroblasts and inflammatory cells. Cardiovasc. Res. 102: 258−269. DOI: 10.1093/cvr/cvu062.

    View in Article CrossRef Google Scholar

    [91] Johnson, B.Z., Stevenson, A.W., Prêle, C.M., et al. (2020). The role of IL-6 in skin fibrosis and cutaneous wound healing. Biomedicines 8: 101. DOI: 10.3390/biomedicines8050101.

    View in Article CrossRef Google Scholar

    [92] Juhl, P., Bondesen, S., Hawkins, C.L., et al. (2020). Dermal fibroblasts have different extracellular matrix profiles induced by TGF-β, PDGF and IL-6 in a model for skin fibrosis. Sci. Rep. 10: 17300. DOI: 10.1038/s41598-020-74179-6.

    View in Article CrossRef Google Scholar

    [93] Wang, W., Bhattacharyya, S., Marangoni, R.G., et al. (2020). The JAK/STAT pathway is activated in systemic sclerosis and is effectively targeted by tofacitinib. J. Scleroderma Relat. Disord. 5: 40−50. DOI: 10.1177/2397198319865367.

    View in Article CrossRef Google Scholar

    [94] Li, Y., Zhao, J., Yin, Y., et al. (2022). The role of ILl-6 in fibrotic diseases: Molecular and cellular mechanisms. Int. J. Biol. Sci. 18: 5405−5414. DOI: 10.7150/ijbs.75876.

    View in Article CrossRef Google Scholar

    [95] Andrews, J.P., Marttala, J., Macarak, E., et al. (2015). Keloid pathogenesis: Potential role of cellular fibronectin with the EDA domain. J. Invest. Dermatol. 135: 1921−1924. DOI: 10.1038/jid.2015.50.

    View in Article CrossRef Google Scholar

    [96] Wang, K., Wen, D., Xu, X., et al. (2023). Extracellular matrix stiffness-the central cue for skin fibrosis. Front. Mol. Biosci. 10: 1132353. DOI: 10.3389/fmolb.2023.1132353.

    View in Article CrossRef Google Scholar

    [97] Dey, A., Varelas, X., and Guan, K.L. (2020). Targeting the hippo pathway in cancer, fibrosis, wound healing and regenerative medicine. Nat. Rev. Drug Discov. 19: 480−494. DOI: 10.1038/s41573-020-0070-z.

    View in Article CrossRef Google Scholar

    [98] Russo, B., Brembilla, N.C., and Chizzolini, C. (2020). Interplay between keratinocytes and fibroblasts: A systematic review providing a new angle for understanding skin fibrotic disorders. Front. Immunol. 11: 648. DOI: 10.3389/fimmu.2020.00648.

    View in Article CrossRef Google Scholar

    [99] Amiri, N., Golin, A.P., Jalili, R.B., et al. (2022). Roles of cutaneous cell-cell communication in wound healing outcome: An emphasis on keratinocyte-fibroblast crosstalk. Exp. Dermatol. 31: 475−484. DOI: 10.1111/exd.14516.

    View in Article CrossRef Google Scholar

    [100] Gomes, R.N., Manuel, F., and Nascimento, D.S. (2021). The bright side of fibroblasts: Molecular signature and regenerative cues in major organs. NPJ Regen. Med. 6: 43. DOI: 10.1038/s41536-021-00153-z.

    View in Article CrossRef Google Scholar

    [101] Wiegand, C., Hipler, U.C., Elsner, P., et al. (2021). Keratinocyte and fibroblast wound healing in vitro is repressed by non-optimal conditions but the reparative potential can be improved by water-filtered infrared A. Biomedicines 9: 1802. DOI: 10.3390/biomedicines9121802.

    View in Article CrossRef Google Scholar

    [102] Dufour, A.M., Borowczyk-Michalowska, J., Alvarez, M., et al. (2020). IL-17A dissociates inflammation from fibrogenesis in systemic sclerosis. J. Invest. Dermatol. 140: 103−112.e108. DOI: 10.1016/j.jid.2019.05.026.

    View in Article CrossRef Google Scholar

    [103] Gruber, F., Kremslehner, C., Eckhart, L., et al. (2020). Cell aging and cellular senescence in skin aging - recent advances in fibroblast and keratinocyte biology. Exp. Gerontol. 130: 110780. DOI: 10.1016/j.exger.2019.110780.

    View in Article CrossRef Google Scholar

    [104] Hu, Y., Converse, C., Lyons, M.C., et al. (2018). Neural control of sweat secretion: A review. Br. J. Dermatol. 178: 1246−1256. DOI: 10.1111/bjd.15808.

    View in Article CrossRef Google Scholar

    [105] Murota, H., Matsui, S., Ono, E., et al. (2015). Sweat, the driving force behind normal skin: An emerging perspective on functional biology and regulatory mechanisms. J. Dermatol. Sci. 77: 3−10. DOI: 10.1016/j.jdermsci.2014.08.011.

    View in Article CrossRef Google Scholar

    [106] Yamashita, M., Shibato, J., Rakwal, R., et al. (2023). Molecular and physiological functions of PACAP in sweat secretion. Int. J. Mol. Sci. 24: 4572. DOI: 10.3390/ijms24054572.

    View in Article CrossRef Google Scholar

    [107] Takahashi, A., Tani, S., Murota, H., et al. (2016). Histamine modulates sweating and affects clinical manifestations of atopic dermatitis. Curr. Probl. Dermatol. 51: 50−56. DOI: 10.1159/000446758.

    View in Article CrossRef Google Scholar

    [108] Yamashita, M., Takenoya, F., Hirabayashi, T., et al. (2021). Effect of PACAP on sweat secretion by immortalized human sweat gland cells. Peptides 146: 170647. DOI: 10.1016/j.peptides.2021.170647.

    View in Article CrossRef Google Scholar

    [109] Lu, J., Piper, S.J., Zhao, P., et al. (2022). Targeting VIP and PACAP receptor signaling: New insights into designing drugs for the PACAP subfamily of receptors. Int. J. Mol. Sci. 23: 8069. DOI: 10.3390/ijms23158069.

    View in Article CrossRef Google Scholar

    [110] Hanssens, L.S., Duchateau, J., and Casimir, G.J. (2021). CFTR protein: Not just a chloride channel. Cells 10: 2844. DOI: 10.3390/cells10112844.

    View in Article CrossRef Google Scholar

    [111] Weidenfeld, S. and Kuebler, W.M. (2017). Cytokine-regulation of Na+-K+-Cl- cotransporter 1 and cystic fibrosis transmembrane conductance regulator-potential role in pulmonary inflammation and edema formation. Front. Immunol. 8: 393. DOI: 10.3389/fimmu.2017.00393.

    View in Article CrossRef Google Scholar

    [112] Eisenhut, M. (2017). Commentary: Cytokine-regulation of Na+-K+-Cl- cotransporter 1 and cystic fibrosis transmembrane conductance regulator-potential role in pulmonary inflammation and edema formation. Front. Immunol. 8: 1490. DOI: 10.3389/fimmu.2017.01490.

    View in Article CrossRef Google Scholar

    [113] Basantsova, N.Y., Starshinova, A.A., Dori, A., et al. (2019). Small-fiber neuropathy definition, diagnosis, and treatment. Neurol. Sci. 40: 1343−1350. DOI: 10.1007/s10072-019-03871-x.

    View in Article CrossRef Google Scholar

    [114] Oaklander, A.L. and Nolano, M. (2019). Scientific advances in and clinical approaches to small-fiber polyneuropathy: A review. JAMA Neurol. 76: 1240−1251. DOI: 10.1001/jamaneurol.2019.2917.

    View in Article CrossRef Google Scholar

    [115] Trbovich, M., Ford, A., Wu, Y., et al. (2021). Correlation of neurological level and sweating level of injury in persons with spinal cord injury. J. Spinal Cord Med. 44: 902−909. DOI: 10.1080/10790268.2020.1751489.

    View in Article CrossRef Google Scholar

    [116] Glatte, P., Buchmann, S.J., Hijazi, M.M., et al. (2019). Architecture of the cutaneous autonomic nervous system. Front. Neurol. 10: 970. DOI: 10.3389/fneur.2019.00970.

    View in Article CrossRef Google Scholar

    [117] Cheshire, W.P. (2020). Sudomotor dysfunction. Semin. Neurol. 40: 560−568. DOI: 10.1055/s-0040-1713847.

    View in Article CrossRef Google Scholar

    [118] Akbar, M., Wandy, A., Soraya, G.V., et al. (2023). Sudomotor dysfunction in diabetic peripheral neuropathy (DPN) and its testing modalities: A literature review. Heliyon 9: e18184. DOI: 10.1016/j.heliyon.2023.e18184.

    View in Article CrossRef Google Scholar

    [119] Xu, X., Wang, W., Wang, Z., et al. (2020). DW14006 as a direct AMPKα activator ameliorates diabetic peripheral neuropathy in mice. Diabetes 69: 1974−1988. DOI: 10.2337/db19-1084.

    View in Article CrossRef Google Scholar

    [120] Yen, C., Lin, C.L., and Chiang, M.C. (2023). Exploring the frontiers of neuroimaging: A review of recent advances in understanding brain functioning and disorders. Life 13: 1472. DOI: 10.3390/life13071472.

    View in Article CrossRef Google Scholar

    [121] Lanzone, J., Motolese, F., Ricci, L., et al. (2023). Quantitative measures of the resting eeg in stroke: A systematic review on clinical correlation and prognostic value. Neurol. Sci. 44: 4247−4261. DOI: 10.1007/s10072-023-06981-9.

    View in Article CrossRef Google Scholar

    [122] Keller, S.M., Reyneke, C., Gschwandtner, U., et al. (2023). Information contained in eeg allows characterization of cognitive decline in neurodegenerative disorders. Clin. EEG Neurosci. 54: 391−398. DOI: 10.1177/15500594221120734.

    View in Article CrossRef Google Scholar

    [123] Shellhaas, R.A. (2019). Seizure classification, etiology, and management. Handb. Clin. Neurol. 162: 347−361. DOI: 10.1016/b978-0-444-64029-1.00017-5.

    View in Article CrossRef Google Scholar

    [124] Jackson, N., Cole, S.R., Voytek, B., et al. (2019). Characteristics of waveform shape in Parkinson's disease detected with scalp electroencephalography. eNeuro 6: ENEURO.0151−0119.2019. DOI: 10.1523/eneuro.0151-19.2019.

    View in Article CrossRef Google Scholar

    [125] Chen, R., Berardelli, A., Bhattacharya, A., et al. (2022). Clinical neurophysiology of Parkinson's disease and parkinsonism. Clin. Neurophysiol. Pract. 7: 201−227. DOI: 10.1016/j.cnp.2022.06.002.

    View in Article CrossRef Google Scholar

    [126] Chen, H. and Koubeissi, M.Z. (2019). Electroencephalography in epilepsy evaluation. Continuum 25: 431−453. DOI: 10.1212/con.0000000000000705.

    View in Article CrossRef Google Scholar

    [127] Müller-Putz, G.R. (2020). Electroencephalography. Handb. Clin. Neurol. 168: 249−262. DOI: 10.1016/b978-0-444-63934-9.00018-4.

    View in Article CrossRef Google Scholar

    [128] Ghita, M., Birs, I.R., Copot, D., et al. (2023). Bioelectrical impedance analysis of thermal-induced cutaneous nociception. Biomed. Signal Process. Control 83 : 104678. DOI: 10.1016/j.bspc.2023.104678.

    View in Article Google Scholar

    [129] Dean, D.A., Ramanathan, T., Machado, D., et al. (2008). Electrical impedance spectroscopy study of biological tissues. J. Electrostat. 66: 165−177. DOI: 10.1016/j.elstat.2007.11.005.

    View in Article CrossRef Google Scholar

    [130] Ghita, M., Neckebroek, M., Juchem, J., et al. (2020). Bioimpedance sensor and methodology for acute pain monitoring. Sensors 20: 6765. DOI: 10.3390/s20236765.

    View in Article CrossRef Google Scholar

    [131] Amin, R. and Faghih, R.T. (2022). Physiological characterization of electrodermal activity enables scalable near real-time autonomic nervous system activation inference. PLoS Comput. Biol. 18: e1010275. DOI: 10.1371/journal.pcbi.1010275.

    View in Article CrossRef Google Scholar

    [132] McArthur, J.C., Stocks, E.A., Hauer, P., et al. (1998). Epidermal nerve fiber density: Normative reference range and diagnostic efficiency. Arch. Neurol. 55: 1513−1520. DOI: 10.1001/archneur.55.12.1513.

    View in Article CrossRef Google Scholar

    [133] Provitera, V., Gibbons, C.H., Wendelschafer-Crabb, G., et al. (2016). A multi-center, multinational age- and gender-adjusted normative dataset for immunofluorescent intraepidermal nerve fiber density at the distal leg. Eur. J. Neurol. 23: 333−338. DOI: 10.1111/ene.12842.

    View in Article CrossRef Google Scholar

    [134] Liu, Y., Fan, X., Wei, Y., et al. (2014). Intraepidermal nerve fiber density of healthy human. Neurol. Res. 36: 911−914. DOI: 10.1179/1743132814y.0000000377.

    View in Article CrossRef Google Scholar

    [135] Verdugo, R.J., Matamala, J.M., Inui, K., et al. (2022). Review of techniques useful for the assessment of sensory small fiber neuropathies: Report from an IFCN expert group. Clin. Neurophysiol. 136: 13−38. DOI: 10.1016/j.clinph.2022.01.002.

    View in Article CrossRef Google Scholar

    [136] Ackerley, R. and Watkins, R.H. (2018). Microneurography as a tool to study the function of individual C-fiber afferents in humans: Responses from nociceptors, thermoreceptors, and mechanoreceptors. J. Neurophysiol. 120: 2834−2846. DOI: 10.1152/jn.00109.2018.

    View in Article CrossRef Google Scholar

    [137] Macefield, V.G. (2021). Recording and quantifying sympathetic outflow to muscle and skin in humans: Methods, caveats and challenges. Clin. Auton. Res. 31: 59−75. DOI: 10.1007/s10286-020-00700-6.

    View in Article CrossRef Google Scholar

    [138] Kusayama, T., Wong, J., Liu, X., et al. (2020). Simultaneous noninvasive recording of electrocardiogram and skin sympathetic nerve activity (neuECG). Nat. Protoc. 15: 1853−1877. DOI: 10.1038/s41596-020-0316-6.

    View in Article CrossRef Google Scholar

  • Cite this article:

    Zhu X., Song J., Liu T., et al., (2024). Electrodermal activity and its molecular mechanisms: Unraveling insights into skin diseases. The Innovation Life 2(3): 100085. https://doi.org/10.59717/j.xinn-life.2024.100085
    Zhu X., Song J., Liu T., et al., (2024). Electrodermal activity and its molecular mechanisms: Unraveling insights into skin diseases. The Innovation Life 2(3): 100085. https://doi.org/10.59717/j.xinn-life.2024.100085

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