Influence des hormones stéroïdes sur la production de deux marqueurs inflammatoires, l’IL-12 et le monoxyde d’azote, au cours de la maladie de Behçet

Development and validation of a risk prediction model for valve regurgitation in Behçet's disease

BACKGROUND

In Behçet's disease (BD), mild-to-severe valvular regurgitation (VR) poses a serious complication that contributes significantly to heart failure and eventually death. The accurate prediction of VR is crucial in the early stages of BD subjects for improved prognosis. Accordingly, this study aimed to develop a nomogram that can detect VR early in the course of BD.

METHODS

One hundred seventy-two patients diagnosed with Behçet's disease (BD) were conducted to assess cardiac valve regurgitation as the primary outcome. The severity of regurgitation was classified as mild, moderate, or severe. The parameters related to the diagnostic criteria were used to develop model 1. The combination of stepAIC, best subset, and random forest approaches was employed to identify the independent predictors of VR and thus establish model 2 and create a nomogram for predicting the probability of VR in BD. Receiver operating characteristics (ROC) and decision curve analysis (DCA) were used to evaluate the model performance.

RESULTS

Thirty-four patients experienced mild-to-severe VR events. Model 2 was established using five variables, including arterial involvement, sex, age at hospitalization, mean arterial pressure, and skin lesions. In comparison with model 1 (0.635, 95% CI: 0.512-0.757), the ROC of model 2 (0.879, 95% CI: 0.793-0.966) was improved significantly. DCA suggested that model 2 was more feasible and clinically applicable than model 1.

CONCLUSION

A predictive model and a nomogram for predicting the VR of patients with Behçet's disease were developed. The good performance of this model can help us identify potential high-risk groups for heart failure. Key Points • In this study, the predictors of VR in BD were evaluated, and a risk prediction model was developed for the early prediction of the occurrence of VR in patients with BD. • The VR prediction model included the following indexes: arterial involvement, sex, age at hospitalization, mean arterial pressure, and skin lesions. • The risk model that we developed was better and more optimized than the models built with diagnostic criteria parameters, and visualizing and personalizing the model, a nomogram, provided clinicians with an easy and intuitive tool for practical prediction.

Regulatory effect of 17β-estradiol on the expression of β-defensin-2 and proinflammatory cytokines in human oral epithelial cells

BACKGROUND

Although estrogen deficiency has been proposed as a risk factor for oral mucosal inflammatory diseases in post-menopausal women, the mechanisms involved remain unclear. This study aimed to investigate the effect of 17β-estradiol (E2) on the inflammatory response stimulated by interleukin-1 beta (IL-1β) in human oral mucosal epithelial cells (hOMECs) and its possible mechanism.

METHODS

Primary hOMECs were obtained from female infants and cultured in keratinocyte growth medium. The hOMECs at second passage were collected and stimulated by 10^-7  mol/L ICI182,780 or 10^-7  mol/L G1 for 1 hour, E2 (10^-7  mol/L, 10^-8  mol/L, 10^-9  mol/L) for 36 hour, 100 ng/mL IL-1β for 12 hours, respectively. Human beta-2 defensin (hBD-2), tumor necrosis factor-alpha (TNF)-α, IL-6, IL-8, estrogen receptor-alpha (ERα), estrogen receptor-beta (ERβ), and G protein-coupled receptor 30 (GPR30) mRNA levels and protein levels were measured by real-time quantitative polymerase chain reaction (RT-qPCR), enzyme-linked immunosorbent assay (ELISA), and Western Blot (WB), respectively.

RESULTS

Expression of hBD-2 and inflammatory cytokines increased after IL-1β stimulation, which was down-regulated by E2 pre-treatment. With ICI182,780, the suppression of E2 on hBD-2 mRNA was attenuated. With G1, the mRNA expression and protein expression of hBD-2 were reduced.

CONCLUSION

Pre-treatment of hOMECs with E2 at physiological concentrations inhibited the IL-1β-induced expression of hBD-2 and inflammatory cytokines. The protective effects of E2 suggest its potential use treating oral inflammatory diseases in clinical practice.

Eye diseases in women

Although eye diseases are considered to be relatively less affected by patient sex, it is noteworthy that the presence of hormone receptors have been confirmed in various ocular tissues, which were considered to have few sex-based differences. Female hormone levels are known to change because of menstruation, pregnancy, and menopause. When female hormone levels markedly fluctuate in such situations, the disease state may change.The fluctuations in the levels of sex hormones affect the corneal thickness conditions of uveitis.Estrogen may be a possible therapeutic option for glaucoma because it protects the eyes from damage caused by glaucoma and reduces intraocular pressure;it is particularly promising in the treatment of postmenopausal women with glaucoma.Estrogen is considered to have a prophylactic effect against eye diseases. However, there is a report that female sex is an independent risk factor for the progression of diabetic retinopathy, so it may not always exert a prophylactic effect. Thus, caution should be exercised.Based on recent progression of studies on this field, the importance of treatment according to gender has been recognized in the treatment of eye diseases.