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New treatment of pyoderma gangrenosum and hidradenitis suppurativa: A review
Open accessAbstract
Pyoderma gangrenosum (PG) and hidradenitis suppurativa (HS) are stubborn inflammatory skin diseases categorized as neutrophilic hypodermal dermatoses. These conditions exhibit connections with other autoinflammatory disorders driven by immune responses. Their pathogenesis is complex, rooted in significant imbalances in both innate and adaptive immune systems, particularly featuring elevated levels of tumor necrosis factor-α (TNF-α), interleukin (IL)-1, IL-8, IL-17, and IL-23. Studies involving skin tissue pathology and serology have indicated that targeting specific cytokines can bring therapeutic benefits. Indeed, many patients in clinical settings have responded positively to such interventions. Yet, given the diverse cytokines in play, focusing on a single one with antibody therapy might not always be effective. When resistance to biologics emerges, a combined approach targeting multiple overactive cytokines with immunosuppressants, for example cyclosporine and Janus kinase inhibitors, could be an option. In the current review, we explore recent therapeutic developments for PG and HS.
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“In advanced diseases with tunnel formation and fibrosis, surgical management remains essential, often combined with medical therapy to control inflammation and prevent recurrence [40,44,45,46,47].”
From The Cutaneous Immune Microenvironment in Selected Inflammatory Skin Diseases: Linking Histopathology, Mechanisms, and Targeted Therapy (2026) · cites this paper as [46]
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“Vitiligo is an immune-mediated disease characterized by the destruction of melanocytes.”
From The Cutaneous Immune Microenvironment in Selected Inflammatory Skin Diseases: Linking Histopathology, Mechanisms, and Targeted Therapy (2026) · cites this paper as [46]
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“Although several aspects remain unclear, immune mechanisms are central to vitiligo pathogenesis [46].”
Metadata
- Authors
- Yamanaka, K.
- Affiliations
- Mie University (JP)
- Corresponding author
- Yamanaka, Keiichi
- ORCID
- Yamanaka, Keiichi
- Venue
- The Journal of Dermatology
- Publisher
- Wiley
- Published
- 2023-11-27
- Volume
- 51
- Issue
- 2
- Pages
- 172-179
- ISSN
- 0385-2407 (ISSN-L)
- 1346-8138
- PMC
- PMC11483966
- OpenAlex
- W4389069982
- Cited by
- 19
- References
- 93
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 5
- FWCI
- 0.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Journal of Dermatology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Dermatology › Autoimmune and Inflammatory Disorders
- Health Sciences › Medicine › Dermatology › Hidradenitis Suppurativa and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Inflammasome and immune disorders
- Keywords
- pyoderma gangrenosum, hidradenitis suppurativa, cytokine therapy, TNF-α, interleukin-1, IL-17, IL-23, interleukin-8, JAK inhibitors, cyclosporine, immunosuppressants, autoinflammatory skin disease
- MeSH terms
- Dermatitis, Humans, Skin, Cytokines, Hidradenitis Suppurativa, Pyoderma Gangrenosum
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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.