TGF-ß1 Effects on Total Collagen of the New Zealand Rabbit's Urethral Wall (Oryctolagus cuniculus) in Animal Models of Urethral Stricture.

Background: Currently, animal models of urethral stricture are not standardized. Transforming Growth Factor Beta 1 (TGF-ß1) regulates extracellular matrix deposition in homeostatic and pathological responses. Objective: The aim of this study was to present the potential model to be developed as a urethral stricture. Methods: True experimental laboratory research was conducted by using Male New Zealand rabbits (Oryctolagus cuniculus), which were divided into 5 groups; control, placebo, and 3 treatment groups (TGF-ß1 injection of 1 µg, 2 µg, 4 µg). Urethrography, histopathological analysis, and evaluation of total collagen formation of the urethral wall were performed after 6 weeks. Results: An increase in the dose of TGF-ß1 decreased the mean rabbit's urethral lumen diameter (29.3% in the 2µg group and 34% in the 4µg group) compared to controls. Three rabbits decreased as much as ≤ 50% in urethral lumen diameter. Significant increases in total collagen density in the periluminal and peripheral urethral spongiosum were noted by increasing doses of TGF-ß1. The percentage of urethral lumen diameter has a strong negative correlation with periluminal total collagen density (r = -0,798; p = 0,000) and very strong negative correlation with peripheral spongiosa total collagen density (r = -0,748, p = 0,000). Conclusion: TGF-ß1 plays a role in changing total collagen compositions of the rabbit's urethral wall, decreasing the urethral lumen diameter. Further research with increasing doses of TGF-ß1 is needed to determine the effective dose of TGF-ß1 in inducing urethral stricture.

Deciphering the Role of TGF-ß1 in Altering Collagen I and Collagen III in the New Zealand Rabbit's (Oryctolagus cuniculus) Urethral Wall in Urethral Stricture Development.

Background: Presently, there's a lack of standardization in animal models used for studying urethral stricture. Transforming Growth Factor Beta 1 (TGF-ß1) is known to regulate the deposition of extracellular matrix in both normal and pathological conditions. This factor holds promise as a potential model for simulating urethral stricture. Objective: This study aims to investigate the impact of Transforming Growth Factor Beta 1 (TGF-ß1) on Collagen I and Collagen III within the urethral wall of New Zealand Rabbits (Oryctolagus cuniculus) in the context of developing urethral stricture in animal models. Methods: We conducted genuine laboratory experiments using Male New Zealand rabbits (Oryctolagus cuniculus), which were categorized into five groups: control, placebo, and three treatment groups (TGF-ß1 injections of 1 µg, 2 µg, 4 µg). After a duration of 6 weeks, we conducted urethrography, histopathological analysis, and assessed the formation of collagen I and collagen III within the urethral wall. Results: Elevating the dosage of TGF-ß1 led to a reduction in the average urethral lumen diameter of rabbits (29.3% in the 2µg group and 34% in the 4µg group) compared to the control group. In fact, three rabbits experienced a decrease of ≤ 50% in their urethral lumen diameter. As the doses of TGF-ß1 increased, we observed significant increases in the density of collagen I, and collagen III in both the periluminal and peripheral regions of the urethral spongiosum. Additionally, there was a tendency for the collagen I/collagen III ratio to decrease in the periluminal region, with collagen III density surpassing that of collagen I. In the peripheral spongiosa area, notable mean differences were observed between the control group, 1T, and 2T groups, with collagen I density tending to be higher than that of collagen III. Furthermore, the percentage of urethral lumen diameter exhibited a robust negative correlation with periluminal collagen I density (r = -0.672, p = 0.001), peripheral spongiosa collagen I density (r = -0.603, p = 0.005), periluminal collagen III density (r = -0.717, p = 0.001), and an exceptionally strong negative correlation with collagen III density of peripheral spongiosa (r = -0.804, p = 0.000). Conclusion: TGF-ß1 exerts an influence on altering the composition of collagen I and collagen III within the urethral wall of rabbits, leading to a reduction in the diameter of the urethral lumen. Further research is warranted to determine the optimal dose of TGF-ß1 required to induce urethral stricture effectively.

Predictors of COVID-19 severity: a systematic review and meta-analysis.

Background: The unpredictability of the progression of coronavirus disease 2019 (COVID-19) may be attributed to the low precision of the tools used to predict the prognosis of this disease. Objective: To identify the predictors associated with poor clinical outcomes in patients with COVID-19. Methods: Relevant articles from PubMed, Embase, Cochrane, and Web of Science were searched as of April 5, 2020. The quality of the included papers was appraised using the Newcastle-Ottawa scale (NOS). Data of interest were collected and evaluated for their compatibility for the meta-analysis. Cumulative calculations to determine the correlation and effect estimates were performed using the Z test. Results: In total, 19 papers recording 1,934 mild and 1,644 severe cases of COVID-19 were included. Based on the initial evaluation, 62 potential risk factors were identified for the meta-analysis. Several comorbidities, including chronic respiratory disease, cardiovascular disease, diabetes mellitus, and hypertension were observed more frequent among patients with severe COVID-19 than with the mild ones. Compared to the mild form, severe COVID-19 was associated with symptoms such as dyspnea, anorexia, fatigue, increased respiratory rate, and high systolic blood pressure. Lower levels of lymphocytes and hemoglobin; elevated levels of leukocytes, aspartate aminotransferase, alanine aminotransferase, blood creatinine, blood urea nitrogen, high-sensitivity troponin, creatine kinase, high-sensitivity C-reactive protein, interleukin 6, D-dimer, ferritin, lactate dehydrogenase, and procalcitonin; and a high erythrocyte sedimentation rate were also associated with severe COVID-19. Conclusion: More than 30 risk factors are associated with a higher risk of severe COVID-19. These may serve as useful baseline parameters in the development of prediction tools for COVID-19 prognosis.