Objective To determine the role of transforming growth factor beta (TGF‐β), one of the cytokines known to induce tissue fibrosis, in the induction of a Peyronie’s‐like condition, and to produce an animal model for the further study of Peyronie’s disease. Materials and methods Twenty‐four adult male Sprague‐Dawley rats were divided into two groups: in group 1, different concentrations of cytomodulin, a synthetic heptapeptide with TGF‐β‐like activity, were injected into the tunica of each of 18 rats and six rats group 2 received saline injections as a control. The tunical tissues were taken after 3 days, 2 and 6 weeks and were examined histologically using Hart and trichrome stains. Electron microscopy was used to examine the ultrastructural changes in the same tissue samples. Results There were histological and ultrastructural alterations in 15 of 18 rats in group 1 (cytomodulin‐injected), especially in tissue examined after 6 weeks. The most prominent histological changes were chronic inflammatory cellular infiltration, focal and diffuse elastosis, thickening, disorganization and clumping of the collagen bundles. The ultrastructural changes were in the form of densely packed collagen, fragmented and scarce elastic fibres, separation of neuronal fibres by interposing clumps of packed collagen, and perivascular collagen deposition as a part of the reorganization of the interstitial matrix. Conclusion Cytomodulin can induce a Peyronie’s‐like condition in the rat penis, which may explain the role of TGF‐β in the pathogenesis of Peyronie’s disease. With further refinement, such rats may be used as an experimental model for studies of Peyronie’s disease.
Background: In Brazil, mathematical models for deriving estimates and projections of COVID-19 cases have been developed without data on asymptomatic SARS-CoV-2 infection. We estimated the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the State of Rio de Janeiro. Methods: Data were collected on 2,857 blood donors from April 14 to 27, 2020. We report the crude prevalence of antibodies to SARS-CoV-2, the weighted prevalence by the total state population, and adjusted prevalence estimates for test sensitivity and specificity. To establish the correlates of SARS-CoV-2 prevalence, we used logistic regression models. The analysis included period and site of blood collection, sociodemographic characteristics, and place of residence. Results: The proportion of SARS-Cov-2 positive tests without any adjustment was 4.0% (95% CI 3.3-4.7%), and the weighted prevalence was 3.8% (95% CI 3.1-4.5%). Further adjustment by test sensitivity and specificity produced lower estimates, 3.6% (95% CI 2.7-4.4%) and 3.3% (95% CI 2.6-4.1%), respectively. The variable most significantly associated with the crude prevalence was the period of blood collection: the later the period, the higher the prevalence. Regarding socio-demographic characteristics, the younger the blood donors, the higher the prevalence, and the lower the educational level, the higher the odds of a positive SARS-Cov-2 antibody. Similar results were found for the weighted prevalence. Discussion: Although our findings resulted from a convenience sample, they match some basic premises: the increasing trend over time, since the epidemic curve in the state is still on the rise; the higher prevalence among the youngest who are more likely to circulate; and the higher prevalence among the less educated as they have more difficulties in following the social distancing recommendations. Despite the study limitations, it is possible to infer that protective levels of natural herd immunity to SARS-CoV-2 are far from being reached in Rio de Janeiro.
Program comprehension is a key activity through maintenance and evolution of large-scale software systems. The understanding of a program often requires the evolution analysis of individual functionalities, so-called features. The comprehension of evolving features is not trivial as their implementations are often tangled and scattered through many modules. Even worse, existing techniques are limited in providing developers with direct means for visualizing the evolution of features' code. This work presents a proactive and interactive visualization strategy to enable feature evolution analysis. It proactively identifies code elements of evolving features and provides multiple views to present their structure under different perspectives. The novel visualization strategy was compared to a lightweight visualization strategy based on a tree-structure. We ran a controlled experiment with industry developers, who performed feature evolution comprehension tasks on an industrial-strength software. The results showed that the use of the proposed strategy presented significant gains in terms of correctness and execution time for feature evolution comprehension tasks.
We present the genotype/phenotype correlation analysis for 16 cystic fibrosis (CF) patients who carry mutation R334W. Current age and age of diagnosis was significantly higher in the R334W/any-mutation group (P < 0.05 and P < 0.01), compared with the delta F508/delta F508 group. A slightly, but not significantly, worse lung function was found in the R334W/any-mutation group, when compared with the delta F508/delta F508 patients. The proportion of patients with lung colonization with bacterial pathogens was slightly, but not significantly, higher in the R334W/any-mutation group (71.4%), compared with the delta F508/delta F508 or R334W/delta F508 groups (55.5%). None of the R334W patients had meconium ileus but 60% were pancreatic insufficient (PI), a significantly lower proportion (P << 0.001) than delta F508/delta F508 patients. Two R334W/N1303K compound heterozygous sisters of three sibs with genotype R334W/delta F508 showed interfamilial discordant clinical data for lung and pancreatic function. The data provided here for mutation R334W demonstrate that this mutation is responsible for a less severe form of CF than delta F508. Interfamilial differences for PI and lung function suggest that other factors, viz. genetic, environmental and medical, contribute to the wide spectrum of clinical differences observed in CF patients with the same CF transmembrane conductance regulator genotypes.
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