Patho-immunological mechanisms of vitiligo: The role of the innate and adaptive immunities and environmental stress factors
Open accessAbstract
Epidermal melanocyte loss in vitiligo, triggered by stresses ranging from trauma to emotional stress, chemical exposure or metabolite imbalance, to the unknown, can stimulate oxidative stress in pigment cells, which secrete damage-associated molecular patterns that then initiate innate immune responses. Antigen presentation to melanocytes leads to stimulation of autoreactive T-cell responses, with further targeting of pigment cells. Studies show a pathogenic basis for cellular stress, innate immune responses and adaptive immunity in vitiligo. Improved understanding of the aetiological mechanisms in vitiligo has already resulted in successful use of the Jak inhibitors in vitiligo. In this review, we outline the current understanding of the pathological mechanisms in vitiligo and locate loci to which therapeutic attack might be directed.
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A central pathogenic axis in vitiligo involves interferon-γ-mediated signaling through the JAK-STAT pathway, inducing chemokines such as CXCL9 and CXCL10 that recruit additional cytotoxic T cells to the skin.
“A central pathogenic axis involves interferon-γ–mediated signaling through the JAK-STAT pathway, inducing chemokines such as CXCL9 and CXCL10 that recruit additional cytotoxic T cells to the skin.”
From The Cutaneous Immune Microenvironment in Selected Inflammatory Skin Diseases: Linking Histopathology, Mechanisms, and Targeted Therapy (2026) · cites this paper as [51]
The Adaptive immunity section describes IFN-γ stimulating keratinocytes to produce CXCL9 and CXCL10, which recruit more T cells to vitiligo skin. It also identifies JAK1/2 as part of IFN-γ signaling, but our copy does not identify the downstream pathway as JAK-STAT; that specific part of the claim is unsupported. (LLM, conf=0.82)
Experimental — accuracy not yet measuredOxidative stress is a key initiating factor in vitiligo, leading to melanocyte damage, mitochondrial dysfunction, and release of danger-associated molecular patterns that activate innate immunity.
“Oxidative stress is considered a key initiating factor, leading to melanocyte damage, mitochondrial dysfunction, and the release of danger-associated molecular patterns (DAMPs), which activate innate immunity.”
From The Cutaneous Immune Microenvironment in Selected Inflammatory Skin Diseases: Linking Histopathology, Mechanisms, and Targeted Therapy (2026) · cites this paper as [51]
The Responses to stress in vitiligo and Innate immunity sections describe oxidative stress damaging melanocytes and triggering release of DAMPs that activate innate immunity. But the former lists mitochondrial dysfunction as an intrinsic anomaly that may make melanocytes vulnerable to oxidative stress, not as a consequence of it. The Histopathological features section also cautions that dysregulated redox balance might be a consequence rather than a cause of vitiligo. (LLM, conf=0.87)
Experimental — accuracy not yet measuredNon-immune mechanisms including defective melanocyte adhesion, endoplasmic reticulum stress, and altered cellular metabolism increase melanocyte susceptibility to immune-mediated destruction in vitiligo.
“Non-immune mechanisms also play a role, including defective melanocyte adhesion (melanocytorrhagy), endoplasmic reticulum stress, and altered cellular metabolism, all of which increase melanocyte susceptibility to immune-mediated destruction [50,51,52].”
From The Cutaneous Immune Microenvironment in Selected Inflammatory Skin Diseases: Linking Histopathology, Mechanisms, and Targeted Therapy (2026) · cites this paper as [51]
The “Responses to stress in vitiligo” section links endoplasmic-reticulum abnormalities and the unfolded protein response to melanocyte stress and possible autoimmune activation. The convergence-theory section also proposes that metabolite imbalances can contribute to a sequence ending in immune-mediated melanocyte destruction. The paper does not establish defective melanocyte adhesion as one of these non-immune mechanisms; its discussion of melanocyte detachment concerns patient antibodies, and it presents the stress-to-autoimmunity link as a proposed mechanism rather than a demonstrated effect of all three factors. (LLM, conf=0.85)
Experimental — accuracy not yet measuredIn vitiligo, histopathological features such as loss of melanocytes and interface dermatitis correspond to autoimmune-mediated melanocyte destruction driven by cytotoxic T cells and interferon signaling.
“In vitiligo, histopathological features such as loss of melanocytes and interface dermatitis correspond to autoimmune-mediated melanocyte destruction, driven by cytotoxic T cells and interferon signaling.”
From The Cutaneous Immune Microenvironment in Selected Inflammatory Skin Diseases: Linking Histopathology, Mechanisms, and Targeted Therapy (2026) · cites this paper as [51]
The ‘Histopathological features of vitiligo and melanocyte degeneration’ section reports melanocyte loss, and the ‘Infiltrating T cells’ and ‘IFN-γ signalling pathway’ sections support a role for cytotoxic CD8+ T cells and interferon signaling in melanocyte destruction. The copy does not identify interface dermatitis as a histopathological feature, and it says the relative roles of degeneration and autoimmunity in melanocyte loss remain unclear. (LLM, conf=0.88)
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Flagged first, then by citations
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Cited by
Sorted by citations
Tinca, A. C., Cozac-Szoke, A. R., & Cotoi, O. S. (2026) · Dermatopathology · doi:10.3390/dermatopathology13020022 · Cited by 1 · see citing works
“These pathophysiological insights have made possible the development of targeted therapies such as JAK inhibitors, which interfere with interferon signaling and promote repigmentation [49–51].”
- Authors
- Faraj, S., Kemp, E. H., & Gawkrodger, D. J.
- Affiliations
- University of Sheffield (GB)
- Corresponding author
- Faraj, Safa
- Gawkrodger, David John
- Venue
- Clinical and Experimental Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-12-05
- Volume
- 207
- Issue
- 1
- Pages
- 27-43
- ISSN
- 0009-9104 (ISSN-L)
- 1365-2249
- PMC
- PMC8802175
- OpenAlex
- W4206804045
- Semantic Scholar
- a74ae06d13b8d5c5206101d823c680f623fae8b8
- Cited by
- 94
- References
- 238
- Citations by year
- 2026: 15 · 2025: 32 · 2024: 12 · 2023: 29 · 2022: 5 · 2021: 1
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Clinical & Experimental Immunology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Funders
- Ministry of Education, Libya
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › melanin and skin pigmentation
- Health Sciences › Medicine › Urology › Hair Growth and Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
- Keywords
- vitiligo, melanocyte loss, oxidative stress, damage-associated molecular patterns, innate immunity, adaptive immunity, autoreactive T cells, antigen presentation, environmental stressors, trauma (physical injury), emotional stress, chemical exposure, JAK inhibitors, therapeutic target
- MeSH terms
- Humans, Immunity, Innate, Melanocytes, Vitiligo, Oxidative Stress, Adaptive Immunity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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