The skin, eyes and face as a window to hidden multisystemic diseases: integration of clinical phenotyping, 3D imaging, genomics and reconstructive medicine
DOI:
https://doi.org/10.70577/sbkz3907Keywords:
clinical phenotyping, 3D facial imaging, genomics, multisystemic diseases, cutaneous biomarkers, ocular manifestations, reconstructive medicineAbstract
Introduction: Numerous multisystemic diseases of genetic, autoimmune, or metabolic etiology present cutaneous, ocular, and craniofacial manifestations that may precede internal organ involvement, constituting a diagnostic "window" of high clinical value. The skin and eyes reflect underlying systemic pathological processes (Wanat et al., 2016). The integration of clinical phenotyping with 3D facial imaging, facial trait genomics, and reconstructive medicine offers a synergistic framework for early detection (Hallgrimsson et al., 2026). Objective: To synthesize evidence on the use of skin, eyes, and face as biomarkers of hidden multisystemic diseases, and to evaluate the potential of integrating clinical phenotyping, 3D imaging, genomics, and reconstructive medicine for early diagnosis. Methodology: Systematic review following PRISMA 2020 (Page et al., 2021). Search in PubMed, LILACS, SciELO and Cochrane for studies published between 2000 and 2026 on cutaneous and ocular manifestations of multisystemic diseases, 3D facial imaging, GWAS of facial traits, and reconstructive surgery. Results: Eight studies were identified. 3D facial imaging detects inherited connective tissue diseases such as Marfan and Loeys-Dietz syndromes, which remain undiagnosed for years (Hallgrimsson et al., 2026). Artificial intelligence (GestaltMatcher) classifies dysmorphic traits with high accuracy (Krawitz & Ruder, 2025). GWAS of facial traits have identified genetic loci associated with facial shape (Xiong et al., 2025). Skin and eyes can be initial sites of sarcoidosis, Behçet disease, and Vogt-Koyanagi-Harada syndrome (Wanat et al., 2016). Reconstructive medicine is crucial in rehabilitating cutaneous and ocular sequelae (JAMA Ophthalmology, 1999). Conclusion: The convergence of clinical phenotyping, 3D imaging, genomics, and reconstructive medicine represents an integrative paradigm for early detection of hidden multisystemic diseases. The face, skin, and eyes constitute accessible and non-invasive biomarkers that can reduce the diagnostic odyssey and improve clinical outcomes.
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References
Annals of Eye Science. (2023). Vogt-Koyanagi-Harada disease: A review. Annals of Eye Science, 8, 4. DOI: https://doi.org/10.21037/aes-23-3
Goovaerts, S., et al. (2025). Enhanced insights into the genetic architecture of 3D cranial vault shape using pleiotropy-informed GWAS. Communications Biology, 8, 439. DOI: https://doi.org/10.1038/s42003-025-07875-6
Hallgrimsson, B., et al. (2026). Automated syndrome diagnosis by three-dimensional facial imaging. Canadian Institutes of Health Research.
Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (Eds.). (2019). Cochrane Handbook for Systematic Reviews of Interventions (Version 6.0). Cochrane. https://training.cochrane.org/handbook DOI: https://doi.org/10.1002/9781119536604
Krawitz, P., & Ruder, A. (2025). GestaltMatcher in genomic diagnostics. NHS Genomic AI Masterclass, University Hospital Bonn.
Liu, F., et al. (2012). A genome-wide association study identifies five loci influencing facial morphology in Europeans. PLoS Genetics, 8(9), e1002932. DOI: https://doi.org/10.1371/journal.pgen.1002932
Mai, L., et al. (2021). Accuracy of 3D facial models obtained by stereophotogrammetry and laser scanning: A systematic review and meta-analysis. Journal of Clinical Medicine, 10(4), 748.
Meng, F., et al. (2024). SAPHO syndrome combined with optic neuritis: A case report. International Journal of Rheumatic Diseases, 27, e15336. DOI: https://doi.org/10.1111/1756-185X.15336
Moola, S., Munn, Z., Tufanaru, C., Aromataris, E., Sears, K., Sfetcu, R., Currie, M., Lisy, K., Qureshi, R., Mattis, P., & Mu, P. (2020). Systematic reviews of etiology and risk. In E. Aromataris & Z. Munn (Eds.), JBI Manual for Evidence Synthesis. JBI. https://synthesismanual.jbi.global DOI: https://doi.org/10.46658/JBIRM-17-06
Moutsopoulos, H. M., & Zampeli, E. (2021). The skin, the eyes, and the ears in rheumatic diseases. In Rheumatic Diseases (pp. 145-160). Springer. DOI: https://doi.org/10.1007/978-3-030-56670-8_10
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71 DOI: https://doi.org/10.1136/bmj.n71
Periman, L. M., & Sires, B. S. (2000). Full-thickness skin grafting of eyelids in a patient with generalized morphea taking thalidomide. Archives of Ophthalmology, 118(1), 135-136. DOI: https://doi.org/10.1001/archopht.118.1.135
Salehi, A., et al. (2023). Free flap reconstruction in patients with collagen vascular diseases: A retrospective review. Journal of Reconstructive Microsurgery, 39(5), 345-352.
Shaffer, J. R., et al. (2016). Genome-wide association study reveals multiple loci influencing normal human facial morphology. PLoS Genetics, 12(8), e1006149. DOI: https://doi.org/10.1371/journal.pgen.1006149
Vanneste, M., et al. (2024). The use of 3D facial phenotyping to capture subclinical morphological variation in developmental neuropsychiatric disorders. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 195(2), e32967.
Wanat, K. A., Kim, B., & Rosenbach, M. (2016). Multisystem diseases affecting the skin and eye. Clinics in Dermatology, 34(2), 193-210. DOI: https://doi.org/10.1016/j.clindermatol.2015.11.013
Wells, G. A., Shea, B., O'Connell, D., Peterson, J., Welch, V., Losos, M., & Tugwell, P. (2000). The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Ottawa Hospital Research Institute.
White, J. D., et al. (2021). Insights into the genetic architecture of the human face. Nature Genetics, 53(1), 45-53. DOI: https://doi.org/10.1038/s41588-020-00741-7
Xiong, Z., et al. (2025). Combined genome-wide association study of facial traits in Europeans increases explained variance and improves prediction. Nature Communications, 16, 61761. DOI: https://doi.org/10.1038/s41467-025-61761-7
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Copyright (c) 2026 Malena Paulina Camacho Aldaz, Melanie Sofía Ramírez Egas, Karla Gissel Ipiales Iles, Daniela Monserrath Moreano Carrascal, Martha Elizabeth Sarmiento Crespo (Autor/a)

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