Biological agents targeting interleukin-23/Th17 axis in inflammatory skin diseases: from basic research to clinical application / 中华皮肤科杂志

Interleukin-17 (IL-17) has been proved to be closely associated with the pathogenesis of various inflammatory skin diseases. Its main source is Th17 cells, whose differentiation is evoked by interleukin-23 (IL-23). Therefore, the IL-23/Th17 axis is an emerging target for the treatment of inflammatory skin diseases. IL-17 antagonists, IL-23 antagonists and IL-12/23 antagonists have shown satisfactory efficacy and safety in the treatment of psoriasis, atopic dermatitis, hidradenitis suppurativa, pityriasis rubra pilaris and SAPHO syndrome in latest clinical trials. Accordingly, this review mainly summarizes progress in molecular signaling pathways in and pathophysiological basis of the IL-23/Th17 axis in the occurrence of inflammatory skin diseases, as well as clinical application of different biological agents targeting this axis.

Construction and validation of a prediction model for staging of localized scleroderma lesions based on high-frequency ultrasound / 中华皮肤科杂志

Objective:To analyze clinical characteristics and high-frequency ultrasound features of localized scleroderma, and to construct and validate a non-invasive prediction model for staging of skin lesions based on the high-frequency ultrasound features.Methods:Patients with localized scleroderma were retrospectively collected from the Department of Dermatology and Venereology, Second Xiangya Hospital of Central South University from February 1, 2021 to February 28, 2023, and clinical data as well as high-frequency ultrasound and pathologic features of 85 lesions from these patients were analyzed. Lesions were divided into modeling cohort and validation cohort according to the chronological order of patient enrollment. The univariate analysis and multivariable logistic regression models were used to analyze the independent influential factors in the staging of localized scleroderma lesions in the modeling cohort, construct the regression equation, and to build a nomogram prediction model. The Bootstrap validation method was used for internal validation, and the predictive performance of the nomogram model in the modeling cohort and validation cohort was further evaluated by the calibration curve and receiver operating characteristic (ROC) curve.Results:In the modeling cohort, 60 patients with localized scleroderma, including 16 males and 44 females, were enrolled, with the age [ M ( Q1, Q3) ] being 22.0 (10.0, 39.2) years, and there were 28 lesions in the oedematous phase and 32 lesions in the fibrotic and atrophic phase; in the validation cohort, 25 patients with localized scleroderma, including 8 males and 17 females, were enrolled, with the age being 18.0 (7.0, 30.0) years, and there were 9 lesions in the oedematous phase and 16 lesions in the fibrotic and atrophic phase. Univariate analysis in the modeling cohort showed no significant differences in the age and gender of patients or the location of lesions between the oedematous phase group and the fibrotic and atrophic phase group (all P > 0.05) ; compared with the oedematous phase group, the fibrotic and atrophic phase group showed an increased proportion of patients with disease duration ≥ 2 years (20/32 cases vs. 10/28 cases, χ2 = 4.29, P = 0.038), decreased thicknesses of the subcutaneous fat layer in skin lesions (1.4 [0.0, 26.0] mm vs. 1.8 [0.1, 14.3] mm, Z = -2.14, P = 0.032), increased decrements in the subcutaneous fat layer thickness in the lesional sites compared with non-lesional control sites (1.8 [0.5, 11.0] vs. 0.3 [-1.9, 8.0] mm, Z = -4.72, P < 0.001), increased ratios of the lesional elasticity values to control elasticity values (2.9 [1.8, 6.9] vs. 1.8 [1.1, 5.9], Z = -4.34, P < 0.001), and increased ultrasound-based lesional activity scores (5.0 [3.0, 8.0] points vs. 3.0 [0.0, 5.0] points, Z = -4.76, P < 0.001). Multivariable logistic stepwise regression analysis showed that the disease duration ≥ 2 years ( P = 0.032), increased ratios of the lesional elasticity values to control elasticity values ( P = 0.019), increased ultrasound-based lesional activity scores ( P = 0.013), and increased decrements in the subcutaneous fat layer thickness in the lesions compared with the controls ( P = 0.013) helped to confirm localized scleroderma lesions in the fibrotic and atrophic phase. Based on the results of regression analysis, a total of 4 factors were included in the nomogram prediction model, including the disease duration, the decrement in the subcutaneous fat layer thickness in lesions compared with controls, the ratio of the lesional elasticity values to control elasticity values, and the ultrasound-based lesional activity score; additionally, the constructed logistic regression model formula for predicting the probability (p) of skin lesions in fibrotic and atrophic phase was "ln (p/[1 - p]) = -9.595 + 2.204 × the disease duration + 0.784 × the decrement in the subcutaneous fat layer thickness in the lesions compared with the controls (mm) + 0.887 × the ratio of the lesional elasticity values to control elasticity values + 1.374 × the ultrasound-based lesional activity score". The calibration curve showed a good predictive performance of the model through the Bootstrap validation method, and the ROC curve demonstrated good discrimination and accuracy (modeling cohort: area under the curve = 0.936, 95% CI: 0.879 - 0.994; validation cohort: area under the curve = 0.889, 95% CI: 0.748 - 1.000) . Conclusions:High-frequency ultrasound could provide essential details for staging the localized scleroderma lesions. Based on the disease duration, subcutaneous fat layer thickness, skin elasticity values, and ultrasound-based lesional activity scores, the constructed prediction model could predict the stages of localized scleroderma lesions with excellent discrimination, accuracy, and predictive performance.

Clinical analysis for 108 cases of dermatomyositis / 中南大学学报(医学版)

To investigate the clinical characteristics of dermatomyositis, to investigate the types and clinical features of dermatomyositis complicated with malignant tumor, and to provide evidence for clinical diagnosis, treatment and prognostic evaluation.
 Methods: The clinical manifestations and laboratory test results for 108 cases of dermatomyositis with complications in the Second Xiangya Hospital of Central South University were analyzed.
 Results: Patients aged from 14 to 60 years accounted for 62.96%. The first symptom was single skin rash (54.63%), and the most characteristic cutaneous features were asymmetrical proximal myositis with various degrees (97.22%). The visceral involvement was as follows: the digestive tract (31.48%), the heart (19.44%), the lung (26.85%), and the thyroid damage (12.96%). Twelve (11.11%) patients were combined with malignant tumor. The positive rates for albumin (ALB), glutamic oxalacetic transaminase (AST), glutamic-pyruvic transaminase (ALT), lactate dehydrogenase (LDH), creatine kinase (CK), creatine kinase isoenzyme (CK-MB), erythrocyte sedimentation rate (ESR), anti Jo-1 antibody, anti ribonucleoprotein (RNP) antibody, and anti-topoisomerasel (Scl) antibody were 25.93%, 46.30%, 28.70%, 87.04%%, 51.85%, 26.85%, 55.56%, 2.27%, 8.99%, and 2.27%, respectively. The patients were divided into a tumor group and a non-tumor group. The chi-square test results from clinical symptoms and laboratory tests suggested that increase of ESR was a risk factor for dermatomyositis combining tumor. The main strategy of therapy was corticosteroids.
 Conclusion: Dermatomyositis possesses typical skin lesions and dermatitis is the most common initial symptom of dermatomyositis. In clinic, diagnosis of dermatomyositis should be timely combined with muscle enzymes test, electromyography and muscle biopsy. Dermatomyositis can easily involve many organs. Thus relevant examinations (such as chest X-ray and CT) should be done preventively. Rapid ESR is a risk factor for dermatomyositis complicated with malignant tumor and it can be used as an index to guide clinical diagnosis.

Expression and methylation status of IL-13 receptor α1 gene in peripheral T lymphocytes of patients with systemic lupus erythematosus / 中华皮肤科杂志

Objective To investigate the mRNA expression and methylation status of IL-13 receptor(IL-13R)α1 gene in peripheral T lymphocytes of patients with systemic lupus erythematosus(SLE).Methods Venous blood samples were obtained from 10 SLE patients(5 in active phase,5 in inactive phase)and 6 normal human controls.CD4+ and CD8+ T cells were isolated from these samples via magnetic activated cell sorting(MACS).Real-time quantitative PCR was used to test the mRNA expression of IL-13Rα1 gene,and methylation specific PCR to detect the methylation status.Results The expression level of IL-13Rα1 mRNA was 2.224±0.251,1.712±0.132.and 1.104±0.044 in CD4+ T cells of active SLE patients,inactive SLE patients and controls,respectively;the difference between the three groups was statistically significant(all P＜0.05).The expression level of IL-13Rα1 mRNA in CD8+T cells was significantly higher in active SLE patients than that in the normal controls(1.672±0.142 vs 1.238±0.106,P＜0.05),while no difference was noted between inactive and active SLE patients or normal controls.The methylation index of IL-13Rα1 gene was 0.454±0.023.0.635±0.065.0.844±0.097 in CD4+T cells of active SLE patients,inactive SLE patients and normal controls,respectively,and the difference between the three groups was significant(all P＜0.05),while no significant difference was observed in the methylation index in CD8+T cells among these groups(P＞0.05).The IL-13Rα1 mRNA expression in CD4+T and CD8+T cells was positively correlated with SLE disease activity index(SLEDAI)score(r=0.79,0.76,P=0.007,0.02 respectively).A negative correlation was found between the methylation level Of IL-13Rα1 in CD4+T cells and SLEDAI score(r=-0.89.P＜0.0 1).as well as between the IL-13Rα1 mRNA expression and its methylation level(r=-0.84,P＜0.0 1).Conclusion The development of SLE may be related to the overexpression of IL-13Rα1 gene induced by DNA hypomethylation in T cells.