Molecular Characteristics of Sweet Syndrome: A Systematic Review
2024

Molecular Characteristics of Sweet Syndrome: A Systematic Review

Sample size: 202 publication Evidence: moderate

Author Information

Author(s): Laura Calabrese, Maurizio Romagnuolo, Martina D'Onghia, Pietro Rubegni, Angelo V. Marzano, Chiara Moltrasio

Primary Institution: Department of Medical, Surgical and Neurological Sciences, Dermatology Section University of Siena

Hypothesis

To critically analyse the current molecular landscape of Sweet Syndrome and discuss recent evidence supporting novel immune mediators and biological signalling pathways involved in its pathogenesis.

Conclusion

This systematic review provides a wealth of evidence on the molecular landscape of Sweet Syndrome, although further research is needed to deepen the understanding of its patho-mechanisms and lead to targeted therapeutic approaches.

Supporting Evidence

  • Sweet syndrome is characterized by sudden onset of painful, tender, erythematous papules, plaques, and nodules.
  • Recent findings suggest that neutrophil activation and abnormal proliferation are key mechanisms in Sweet syndrome.
  • IL-1β and its family members are found in elevated concentrations in most Sweet syndrome patients.
  • Adaptive immunity may also play a role in the pathogenesis of Sweet syndrome.
  • Further research is needed to understand the complex pathogenesis of Sweet syndrome.

Takeaway

Sweet syndrome is a rare skin condition that causes painful bumps and is linked to immune system problems. Researchers are studying its causes to find better treatments.

Methodology

The methodology followed PRISMA guidelines and included two bibliographical databases, searching articles published until 17 December 2023.

Limitations

The included studies did not analyze the clinical and histological SS variants separately, and it was not always clear whether patients were on specific medications at the time of sample collection.

Participant Demographics

The study included 202 patients with a mean age of 50.72 years, consisting of 52% females and 39% males.

Statistical Information

P-Value

p<0.05

Digital Object Identifier (DOI)

10.1111/exd.70022

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