Association of KDR (rs2071559, rs1870377), CFH (rs1061170, rs1410996) genes variants and serum levels with pituitary adenoma

INTRODUCTION

Pituitary adenomas (PA) are slow-growing, benign tumors that usually do not metastasize to other body organs. Although they are referred to as benign, tumor growth can eventually put pressure on nearby structures, spread to surrounding tissues, and cause symptoms. The exact cause of PA is unknown, and the pathogenesis is multifactorial.

METHODS

Our study included PA patients and healthy volunteers. Genomic DNA was extracted using the DNA salting-out method. All participants were genotyped for the KDR rs2071559, rs1870377, CFH rs1061170, and rs1410996 polymorphisms. Serum levels of KDR and CFH were examined using the ELISA method.

RESULTS

The results of the present study showed that KDR rs2071559 A allele was associated with the occurrence of PA, hormonally active PA, invasive PA, and PA without recurrence development. KDR rs1870377 increased the probability of invasive PA and PA recurrence. CFH rs1061170 C allele was associated with hormonally active PA and the T allele was associated with non-invasive PA development.

CONCLUSION

KDR rs2071559, rs1870377, and CFH rs1061170 could be potential biomarkers associated with PA.

Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment

We present the results for CAPRI Round 54, the 5th joint CASP-CAPRI protein assembly prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo-trimers, 13 heterodimers including 3 antibody-antigen complexes, and 7 large assemblies. On average ~70 CASP and CAPRI predictor groups, including more than 20 automatics servers, submitted models for each target. A total of 21 941 models submitted by these groups and by 15 CAPRI scorer groups were evaluated using the CAPRI model quality measures and the DockQ score consolidating these measures. The prediction performance was quantified by a weighted score based on the number of models of acceptable quality or higher submitted by each group among their five best models. Results show substantial progress achieved across a significant fraction of the 60+ participating groups. High-quality models were produced for about 40% of the targets compared to 8% two years earlier. This remarkable improvement is due to the wide use of the AlphaFold2 and AlphaFold2-Multimer software and the confidence metrics they provide. Notably, expanded sampling of candidate solutions by manipulating these deep learning inference engines, enriching multiple sequence alignments, or integration of advanced modeling tools, enabled top performing groups to exceed the performance of a standard AlphaFold2-Multimer version used as a yard stick. This notwithstanding, performance remained poor for complexes with antibodies and nanobodies, where evolutionary relationships between the binding partners are lacking, and for complexes featuring conformational flexibility, clearly indicating that the prediction of protein complexes remains a challenging problem.

Ferrocene Derivatives for Improving the Efficiency and Stability of MA-Free Perovskite Solar Cells from the Perspective of Inhibiting Ion Migration and Releasing Film Stress

Further improvement of the performance and stability of inverted perovskite solar cells (PSCs) is necessary for commercialization. Here, ferrocene derivative dibenzoylferrocene (DBzFe) is used as an additive to enhance the performance and stability of MA- and Br- free PSCs. The results show that the introduction of DBzFe not only passivates the defects in the film but also inhibits the ion migration in the film. The final device achieves a power conversion efficiency (PCE) of 23.53%, which is one of the highest efficiencies currently based on self-assembled monolayers (SAMs). Moreover, it maintains more than 96.4% of the original efficiency when running continuously for 400 h at the maximum power point.

Path to posttraumatic growth: The role of centrality of event, deliberate and intrusive rumination, and self blame in women victims and survivors of intimate partner violence

Increased interest in positive changes in the aftermath of traumatic events led researchers to examine assumptions about the process of posttraumatic growth (PTG). However, existing studies often use samples from mixed trauma survivors and investigate separate factors and their associations with growth. Therefore, the purpose of the current study was to examine the path from centrality of event to PTG involving intrusive and deliberate rumination and self-blame as a coping strategy in women survivors of intimate partner violence (IPV). The study sample consisted of 200 women with a history of IPV (ages 18–69, M = 44.79, SD = 12.94). Results of the path analysis indicated that higher centrality of event was related to higher levels of intrusive rumination which was positively related to self-blame and deliberate rumination eventually leading to PTG. Indirect effects from centrality of event to PTG through intrusive and deliberate rumination, and from intrusive to deliberate rumination through self-blame were examined. This study gave support to some theoretical assumptions of the process of PTG and pointed out problematic areas of investigation of coping strategies in this process.