中华皮肤科杂志 ›› 2026, Vol. 59 ›› Issue (6): 571-577.doi: 10.35541/cjd.20260061
葛佳艺1 刘伊瑄2 周园1 姚煦1
收稿日期:2026-01-28
修回日期:2026-04-19
发布日期:2026-06-05
通讯作者:
姚煦
E-mail:dryao_xu@126.com
基金资助:Ge Jiayi1, Liu Yixuan2, Zhou Yuan1, Yao Xu1
Received:2026-01-28
Revised:2026-04-19
Published:2026-06-05
Contact:
Yao Xu
E-mail:dryao_xu@126.com
Supported by:摘要: 【摘要】 随着移动健康技术的不断发展,数字生物标志物逐渐成为疾病监测与管理领域的重要研究方向。与传统依赖临床或实验室检测采集的生物标志物不同,数字生物标志物多来源于日常生活场景,具有连续、动态采集的特点。特应性皮炎(AD)是常见的慢性炎症性皮肤病,具有反复发作和病情波动的特点,常需频繁医疗干预。在此背景下,将数字生物标志物引入AD管理,对于实现疾病状态的长期监测,推动个体化干预策略的制定具有重要意义。本文系统综述了移动健康技术及数字生物标志物在AD领域的研究进展,重点总结了基于智能手机和可穿戴设备的相关技术在AD预防、病情监测以及远程管理和个体化治疗中的应用现状与潜力。
葛佳艺 刘伊瑄 周园 姚煦. 特应性皮炎中移动健康与数字生物标志物的研究进展[J]. 中华皮肤科杂志, 2026,59(6):571-577. doi:10.35541/cjd.20260061
Ge Jiayi, Liu Yixuan, Zhou Yuan, Yao Xu. Mobile health and digital biomarkers in atopic dermatitis[J]. Chinese Journal of Dermatology, 2026, 59(6): 571-577.doi:10.35541/cjd.20260061
| [1] | Silverberg JI, Mohawk JA, Cirulli J, et al. Burden of disease and unmet needs in atopic dermatitis: results from a patient survey[J]. Dermatitis, 2023,34(2):135⁃144. DOI: 10.1089/derm.2022. 29015.jsi. |
| [2] | Macias Alonso AK, Hirt J, Woelfle T, et al. Definitions of digital biomarkers: a systematic mapping of the biomedical literature[J]. BMJ Health Care Inform, 2024,31(1):e100914. DOI: 10. 1136/bmjhci⁃2023⁃100914. |
| [3] | Epstein E, Patel N, Maysent K, et al. Cardiac rehab in the COVID era and beyond: mHealth and other novel opportunities[J]. Curr Cardiol Rep, 2021,23(5):42. DOI: 10.1007/s11886⁃021⁃01482⁃7. |
| [4] | Liu CX, Li L, Zeng YP. The role of air pollution in the pathogenesis of atopic dermatitis, with a focus on oxidative stress[J]. Clin Transl Allergy, 2025,15(9):e70104. DOI: 10.1002/clt2.70104. |
| [5] | Atzeni M, Cossu L, Gaiotti S, et al. AirPredict: an eHealth platform for asthma management leveraging wearable sensors, digital diaries, and air quality monitoring to optimize patient outcomes[J]. Front Digit Health, 2025,7:1573342. DOI: 10. 3389/fdgth.2025.1573342. |
| [6] | Piquero⁃Casals J, Carrascosa JM, Morgado⁃Carrasco D, et al. The role of photoprotection in optimizing the treatment of atopic dermatitis[J]. Dermatol Ther (Heidelb), 2021,11(2):315⁃325. DOI: 10.1007/s13555⁃021⁃00495⁃y. |
| [7] | Huang X, Chalmers AN. Review of wearable and portable sensors for monitoring personal solar UV exposure[J]. Ann Biomed Eng, 2021,49(3):964⁃978. DOI: 10.1007/s10439⁃020⁃02710⁃x. |
| [8] | Schmid⁃Grendelmeier P, Gooderham MJ, Hartmann K, et al. Efficacy and safety of abrocitinib in patients with moderate⁃to⁃severe atopic dermatitis and comorbid allergies[J]. Allergy, 2024,79(1):174⁃183. DOI: 10.1111/all.15952. |
| [9] | Torisu⁃Itakura H, Anderson P, Piercy J, et al. Impact of itch and skin pain on quality of life in adult patients with atopic dermatitis in Japan: results from a real⁃world, point⁃in⁃time, survey of physicians and patients[J]. Curr Med Res Opin, 2022,38(8):1401⁃1410. DOI: 10.1080/03007995.2022.2092352. |
| [10] | Erickson S, Kim BS. Research techniques made simple: itch measurement in clinical trials[J]. J Invest Dermatol, 2019,139(2):264⁃269. DOI: 10.1016/j.jid.2018.12.004. |
| [11] | Gelhorn H, Currie BM, Bushnell DM, et al. Psychometric validation of the Worst Itch Numerical Rating Scale (WI⁃NRS) and other patient⁃reported outcome measures for assessing severity and impact of pruritus in patients with primary biliary cholangitis[J]. Orphanet J Rare Dis, 2025,20(1):390. DOI: 10.1186/s13023⁃025⁃03798⁃x. |
| [12] | Yang AF, Nguyen M, Li AW, et al. Use of technology for the objective evaluation of scratching behavior: a systematic review[J]. JAAD Int, 2021,5:19⁃32. DOI: 10.1016/j.jdin.2021.06.005. |
| [13] | Ebata T, Iwasaki S, Kamide R, et al. Use of a wrist activity monitor for the measurement of nocturnal scratching in patients with atopic dermatitis[J]. Br J Dermatol, 2001,144(2):305⁃309. DOI: 10.1046/j.1365⁃2133.2001.04019.x. |
| [14] | Hon KL, Lam MC, Leung TF, et al. Nocturnal wrist movements are correlated with objective clinical scores and plasma chemokine levels in children with atopic dermatitis[J]. Br J Dermatol, 2006,154(4):629⁃635. DOI: 10.1111/j.1365⁃2133. 2006.07213.x. |
| [15] | Smith MP, Ly K, Thibodeaux Q, et al. Emerging methods to objectively assess pruritus in atopic dermatitis[J]. Dermatol Ther (Heidelb), 2019,9(3):407⁃420. DOI: 10.1007/s13555⁃019⁃0312⁃3. |
| [16] | Feuerstein J, Austin D, Sack R, et al. Wrist actigraphy for scratch detection in the presence of confounding activities[J]. Annu Int Conf IEEE Eng Med Biol Soc, 2011,2011:3652⁃3655. DOI: 10.1109/IEMBS.2011.6090615. |
| [17] | Petersen J, Austin D, Sack R, et al. Actigraphy⁃based scratch detection using logistic regression[J]. IEEE J Biomed Health Inform, 2013,17(2):277⁃283. DOI: 10.1109/TITB.2012.2204761. |
| [18] | Moreau A, Anderer P, Ross M, et al. Detection of nocturnal scratching movements in patients with atopic dermatitis using accelerometers and recurrent neural networks[J]. IEEE J Biomed Health Inform, 2018,22(4):1011⁃1018. DOI: 10.1109/JBHI.2017.2710798. |
| [19] | Mahadevan N, Christakis Y, Di J, et al. Development of digital measures for nighttime scratch and sleep using wrist⁃worn wearable devices[J]. NPJ Digit Med, 2021,4(1):42. DOI: 10. 1038/s41746⁃021⁃00402⁃x. |
| [20] | Ji J, Venderley J, Zhang H, et al. Assessing nocturnal scratch with actigraphy in atopic dermatitis patients[J]. NPJ Digit Med, 2023,6(1):72. DOI: 10.1038/s41746⁃023⁃00821⁃y. |
| [21] | Chun KS, Kang YJ, Lee JY, et al. A skin⁃conformable wireless sensor to objectively quantify symptoms of pruritus[J]. Sci Adv, 2021,7(18):eabf9405. DOI: 10.1126/sciadv.abf9405. |
| [22] | Noro Y, Omoto Y, Umeda K, et al. Novel acoustic evaluation system for scratching behavior in itching dermatitis: rapid and accurate analysis for nocturnal scratching of atopic dermatitis patients[J]. J Dermatol, 2014,41(3):233⁃238. DOI: 10.1111/1346⁃8138.12405. |
| [23] | Okuyama T, Otsuki M, Komiya R, et al. A curvature sensor using a solid polymer electrolyte[J]. Int J Appl Electromagn Mech, 2010,33(1⁃2):823⁃829. DOI: 10.3233/JAE⁃2010⁃1191. |
| [24] | Liu Y, Zhang G, Tarolli CG, et al. Monitoring gait at home with radio waves in Parkinson′s disease: a marker of severity, progression, and medication response[J]. Sci Transl Med, 2022,14(663):eadc9669. DOI: 10.1126/scitranslmed.adc9669. |
| [25] | Avey S, Morris M, Sargsyan D, et al. At⁃home evaluation of both wearable and touchless digital health technologies for measuring nocturnal scratching in atopic dermatitis: analytical validation study[J]. J Med Internet Res, 2025,27:e72216. DOI: 10.2196/72216. |
| [26] | Toyota S, Kogure T, Kondo E, et al. Scratch scoring by a sheet⁃shaped body vibrometer in nocturnal sleep: a pilot study compared with infrared video recording[J]. Acta Derm Venereol, 2025,105:adv41414. DOI: 10.2340/actadv.v105.41414. |
| [27] | Ikoma A, Ebata T, Chantalat L, et al. Measurement of nocturnal scratching in patients with pruritus using a smartwatch: initial clinical studies with the itch tracker app[J]. Acta Derm Venereol, 2019,99(3):268⁃273. DOI: 10.2340/00015555⁃3105. |
| [28] | Sugiyama A, Murakami Y, Okamoto K, et al. Nocturnal scratching and quality of sleep in children with atopic dermatitis[J]. Acta Derm Venereol, 2023,103:adv12345. DOI: 10.2340/actadv.v103.12345. |
| [29] | Khan Y, Todorov A, Torah R, et al. Skin sensing and wearable technology as tools to measure atopic dermatitis severity[J]. Skin Health Dis, 2024,4(5):e449. DOI: 10.1002/ski2.449. |
| [30] | Jeong HK, Park C, Henao R, et al. Deep learning in dermatology: a systematic review of current approaches, outcomes, and limitations[J]. JID Innov, 2023,3(1):100150. DOI: 10.1016/j.xjidi.2022.100150. |
| [31] | Wu H, Yin H, Chen H, et al. A deep learning, image based approach for automated diagnosis for inflammatory skin diseases[J]. Ann Transl Med, 2020,8(9):581. DOI: 10.21037/atm.2020. 04.39. |
| [32] | Pan K, Hurault G, Arulkumaran K, et al. EczemaNet: automating detection and severity assessment of atopic dermatitis[C]//Liu M, Yan P, Lian C, et al. Machine learning in medical imaging. Cham:Springer, 2020:220⁃230. DOI:10.1007/978⁃3⁃030⁃59861⁃7_23. |
| [33] | Medela A, Mac Carthy T, Aguilar Robles SA, et al. Automatic scoring of atopic dermatitis using deep learning: a pilot study[J]. JID Innov, 2022,2(3):100107. DOI: 10.1016/j.xjidi.2022.100107. |
| [34] | Choi Y, Oh SJ, Lee JH. Novel technology at hand to measure skin hydration by Biodisplay smartphone touch screen panel[J]. Sci Rep, 2021,11(1):19410. DOI: 10.1038/s41598⁃021⁃98784⁃1. |
| [35] | Jang M, Kim HD, Koo HJ, et al. Textile⁃based wearable sensor for skin hydration monitoring[J]. Sensors (Basel), 2022,22(18):6985. DOI: 10.3390/s22186985. |
| [36] | Krishnan SR, Su CJ, Xie Z, et al. Wireless, battery⁃free epidermal electronics for continuous, quantitative, multimodal thermal characterization of skin[J]. Small, 2018,14(47):e1803192. DOI: 10.1002/smll.201803192. |
| [37] | Sim D, Kim SM, Kim SS, et al. Portable skin analyzers with simultaneous measurements of transepidermal water loss, skin conductance and skin hardness[J]. Sensors (Basel), 2019,19(18):3857. DOI: 10.3390/s19183857. |
| [38] | Westermann T, Viana VR, Berto Junior C, et al. Measurement of skin hydration with a portable device (SkinUp® Beauty Device) and comparison with the Corneometer®[J]. Skin Res Technol, 2020,26(4):571⁃576. DOI: 10.1111/srt.12833. |
| [39] | Fluhr JW, Voisard A, Nikolaeva DG, et al. Stratum corneum hydration measurements with a bluetooth wireless probe: a real⁃life study at home compared to measurements under laboratory conditions[J]. Skin Pharmacol Physiol, 2024,37(1⁃3):40⁃48. DOI: 10.1159/000539411. |
| [40] | Tobar M, Clemann S, Hagens R, et al. Skinly: a novel handheld IoT device for validating biophysical skin characteristics[J]. Skin Res Technol, 2024,30(3):e13613. DOI: 10.1111/srt.13613. |
| [41] | Berdyshev E, Goleva E, Bissonnette R, et al. Dupilumab significantly improves skin barrier function in patients with moderate⁃to⁃severe atopic dermatitis[J]. Allergy, 2022,77(11):3388⁃3397. DOI: 10.1111/all.15432. |
| [42] | Grinich EE, Topham C, Haynes D, et al. Validation of a novel patient⁃operated device for measuring skin barrier function in atopic dermatitis[J]. Skin Res Technol, 2021,27(5):824⁃830. DOI: 10.1111/srt.13027. |
| [43] | Logger J, Driessen R, de Jong E, et al. Value of GPSkin for the measurement of skin barrier impairment and for monitoring of rosacea treatment in daily practice[J]. Skin Res Technol, 2021,27(1):15⁃23. DOI: 10.1111/srt.12900. |
| [44] | Sivakumar AD, Sharma R, Thota C, et al. WASP: wearable analytical skin probe for dynamic monitoring of transepidermal water loss[J]. ACS Sens, 2023,8(11):4407⁃4416. DOI: 10.1021/acssensors.3c01936. |
| [45] | Hong I, Lim D, Kim D, et al. Breathable, wearable skin analyzer for reliable long⁃term monitoring of skin barrier function and individual environmental health impacts[J]. Nat Commun, 2025,16(1):9149. DOI: 10.1038/s41467⁃025⁃64207⁃2. |
| [46] | Lin PH, Nien HH, Li BR. Wearable microfluidics for continuous assay[J]. Annu Rev Anal Chem (Palo Alto Calif), 2023,16(1):181⁃203. DOI: 10.1146/annurev⁃anchem⁃091322⁃082930. |
| [47] | Szegedi K, Lutter R, Res PC, et al. Cytokine profiles in interstitial fluid from chronic atopic dermatitis skin[J]. J Eur Acad Dermatol Venereol, 2015,29(11):2136⁃2144. DOI: 10. 1111/jdv.13160. |
| [48] | Xu J, Yang B, Kong J, et al. Real⁃time monitoring and early warning of a cytokine storm in vivo using a wearable noninvasive skin microneedle patch[J]. Adv Healthc Mater, 2023,12(18):e2203133. DOI: 10.1002/adhm.202203133. |
| [49] | Salfi F, Amicucci G, Ferrara M, et al. The role of insomnia in the vulnerability to depressive and anxiety symptoms in atopic dermatitis adult patients[J]. Arch Dermatol Res, 2023,315(6):1577⁃1582. DOI: 10.1007/s00403⁃023⁃02538⁃0. |
| [50] | Lee J, Suh H, Jung H, et al. Association between chronic pruritus, depression, and insomnia: a cross⁃sectional study[J]. JAAD Int, 2021,3:54⁃60. DOI: 10.1016/j.jdin.2021.02.004. |
| [51] | Menne F, Dörr F, Schräder J, et al. The voice of depression: speech features as biomarkers for major depressive disorder[J]. BMC Psychiatry, 2024,24(1):794. DOI: 10.1186/s12888⁃024⁃06253⁃6. |
| [52] | Kim AY, Jang EH, Lee SH, et al. Automatic depression detection using smartphone⁃based text⁃dependent speech signals: deep convolutional neural network approach[J]. J Med Internet Res, 2023,25:e34474. DOI: 10.2196/34474. |
| [53] | Di Matteo D, Wang W, Fotinos K, et al. Smartphone⁃detected ambient speech and self⁃reported measures of anxiety and depression: exploratory observational study[J]. JMIR Form Res, 2021,5(1):e22723. DOI: 10.2196/22723. |
| [54] | Tian J, Cao Y, Li Y, et al. A sympathetic⁃eosinophil axis orchestrates psychological stress to exacerbate skin inflammation[J]. Science, 2026,391(6791):1269⁃1277. DOI: 10.1126/science. adv5974. |
| [55] | Cherrez⁃Ojeda I, Robles⁃Velasco K, Osorio MF, et al. A systematic review and meta⁃analysis of mobile health applications and telemonitoring in atopic dermatitis self⁃management[J]. Dermatol Ther (Heidelb), 2024,14(7):1787⁃1798. DOI: 10.1007/s13555⁃024⁃01213⁃0. |
| [56] | Santer M, Muller I, Becque T, et al. Eczema Care Online behavioural interventions to support self⁃care for children and young people: two independent, pragmatic, randomised controlled trials[J]. BMJ, 2022,379:e072007. DOI: 10.1136/bmj⁃2022⁃072007. |
| [57] | Cerqueira TB, Imoto RR, Muzzolon M, et al. WhatsApp and atopic dermatitis: a clinical trial[J]. J Pediatr (Rio J), 2025,101(1):67⁃73. DOI: 10.1016/j.jped.2024.07.003. |
| [58] | Zvulunov A, Lenevich S, Migacheva N. Mobile health app as an auxiliary tool in management of atopic dermatitis in children: randomized controlled trial[J]. JMIR Dermatol, 2025,8:e60479. DOI: 10.2196/60479. |
| [59] | Nelson CA, Pérez⁃Chada LM, Creadore A, et al. Patient perspectives on the use of artificial intelligence for skin cancer screening: a qualitative study[J]. JAMA Dermatol, 2020,156(5):501⁃512. DOI: 10.1001/jamadermatol.2019.5014. |
| [60] | Sulejmani P, Negris O, Aoki V, et al. The global reach of artificial intelligence in atopic dermatitis: the quality and reliability of ChatGPT responses in 8 languages[J]. JAAD Int, 2024,17:158⁃159. DOI: 10.1016/j.jdin.2024.08.013. |
| [61] | Yang AF, Patel S, Chun KS, et al. Artificial intelligence⁃enabled wearable devices and nocturnal scratching in mild atopic dermatitis[J]. JAMA Dermatol, 2025,161(4):406⁃410. DOI: 10.1001/jamadermatol.2024.5697. |
| [62] | Zarif A. The ethical challenges facing the widespread adoption of digital healthcare technology[J]. Health Technol (Berl), 2022,12(1):175⁃179. DOI: 10.1007/s12553⁃021⁃00596⁃w. |
| [1] | 李明 李妍 李邻峰. Janus激酶抑制剂在中重度特应性皮炎中的应用进展[J]. 中华皮肤科杂志, 2026, 59(6): 582-585. |
| [2] | 田静 宋志强. 胶带剥离法在特应性皮炎生物标志物检测中的研究进展[J]. 中华皮肤科杂志, 2026, 59(6): 578-581. |
| [3] | 李芳 林颖. 头颈部特应性皮炎的诊疗研究进展[J]. 中华皮肤科杂志, 2026, 59(6): 586-590. |
| [4] | 马铜川 邓婷月 肖风丽. 吸烟与特应性皮炎相关性研究进展[J]. 中华皮肤科杂志, 2026, 59(6): 590-593. |
| [5] | 中华医学会皮肤性病学分会儿童皮肤病学组 中华医学会儿科学分会皮肤病学组 中国康复医学会皮肤病康复专业委员会儿童学组 中国康复医学会皮肤病康复专业委员会特应性皮炎学组 中国医师协会皮肤科医师分会儿童皮肤病学组 中国医师协会儿科学分会皮肤病学组. 中国儿童特应性皮炎预防、治疗与管理实践共识(2026版)[J]. 中华皮肤科杂志, 2026, 59(6): 487-504. |
| [6] | 杜欣冉 王歆荷 李思宇 陈谟安 袁少杰 鄢然 程淋燕 郭婉军 王怡 李福伦. [开放获取] 特应性皮炎血虚风燥证诊断量表的构建及评价研究[J]. 中华皮肤科杂志, 2026, 59(6): 540-546. |
| [7] | 许朋 高玉文 卢梦 梁雄顺 李雁冰 洪文旭 赵志广 关杨. 槲皮素对DNFB诱导的特应性皮炎样小鼠肠道菌群稳态及炎症因子的影响及其与症状改善的关联分析[J]. 中华皮肤科杂志, 2026, 59(6): 529-539. |
| [8] | 秦琬宜 路永红 唐欣韵 周思婕 周培媚. [开放获取] 度普利尤单抗/Janus激酶1抑制剂治疗中重度特应性皮炎的1年药物留存分析[J]. 中华皮肤科杂志, 2026, 59(6): 512-518. |
| [9] | 张汉伊 郭也也 肖易 陈翔 粟娟. 慢性心理应激介导脂质代谢与免疫微环境异常在特应性皮炎样小鼠中的作用[J]. 中华皮肤科杂志, 2026, 59(6): 519-528. |
| [10] | 伍博 陈星 柴圆圆 曹蓉 陈钱 朱红艳. 不同严重程度儿童特应性皮炎血清维生素D水平与巨噬细胞炎症的相关性分析[J]. 中华皮肤科杂志, 2026, 59(6): 547-552. |
| [11] | 李雁冰 许朋 田佳彬 林秀球 刘慧 赵志广 李祥子 关杨. 成人特应性皮炎流行病学分析:基于2023年深圳市慢性病及危险因素监测数据[J]. 中华皮肤科杂志, 2026, 59(6): 553-557. |
| [12] | 李巍 姚煦. 中国特应性皮炎的研究现状与展望[J]. 中华皮肤科杂志, 2026, 59(6): 505-511. |
| [13] | 孙紫君 艾芳婷 姚春霞 苗国英 张丽. 基于网络药理学与HaCaT细胞实验探讨茯苓及其活性成分茯苓酸对特应性皮炎相关炎症反应的作用及机制研究[J]. 中华皮肤科杂志, 2026, 59(5): 443-454. |
| [14] | 陈廷南 梁景耀 邓仕琳 舒芝荣 张锡宝. 生物制剂治疗银屑病与特应性皮炎后出现免疫漂移:临床特征、机制与治疗策略[J]. 中华皮肤科杂志, 2026, 59(5): 474-481. |
| [15] | 陈锦丛 林立航 苏惠春. 朗格汉斯细胞在特应性皮炎中的研究进展[J]. 中华皮肤科杂志, 2026, 59(4): 383-386. |
|
||