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Published on: April 8, 2016
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Cell population data as predictive biomarkers for biologic therapy response in psoriasis
Ruizhen Liu1,2,3,4,5,6,7, Can Zuo7, Juan Zhao7
1The Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Expert Opinion on Biological Therapy
|December 15, 2025
Summary
Complete blood count parameters can predict biologic therapy response in psoriasis patients. Certain cell volume variations at baseline and early changes correlate with treatment effectiveness over 48 weeks.
Area of Science:
- Hematology
- Dermatology
- Immunology
Background:
- Biologic agents have advanced psoriasis treatment.
- Significant patient response variability necessitates predictive biomarkers for therapeutic efficacy.
Purpose of the Study:
- To investigate the predictive value of complete blood count parameters (CPD) for biologic therapy response in psoriasis.
- To analyze associations between baseline CPD, disease severity, and inflammatory markers.
- To monitor early dynamic changes in CPD and their relation to treatment outcomes.
Main Methods:
- Prospective cohort study of 422 psoriasis patients and 150 healthy controls.
- Measurement of 16 CPD parameters using a hematology analyzer.
- Analysis of baseline CPD, disease severity, and inflammatory markers, with 48-week follow-up for treatment response.
Main Results:
- All CPD parameters were significantly elevated in psoriasis patients versus controls (p < 0.001).
- Baseline mean lymphocyte volume (MN-V-LY) negatively correlated with PASI improvement (ρ = -0.278 to -0.449, p < 0.001).
- Early reduction in monocyte volume heterogeneity (SD-V-MO) correlated with long-term efficacy (ρ = -0.355 to -0.546, p < 0.001).
Conclusions:
- CPD parameters are elevated in psoriasis patients.
- Baseline MN-V-LY and early SD-V-MO changes predict biologic therapy response.
- CPD offer potential as simple, standardized biomarkers for clinical application in psoriasis treatment.
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