contents of HO-1 mRNA (P < 0.05), HO-1 and Nrf2 protein were lower in the H-Glu group than in the CSPE and Con group, and there was no significant difference between the CSPE group and H-Glu group.

A certain concentration range of CSPE can increase the expression of the downstream protein HO-1 and negatively regulate the production of ROS by upregulating the expression of Nrf2, thus protecting human retinal endothelial cells from oxidative damage caused by high glucose.

A certain concentration range of CSPE can increase the expression of the downstream protein HO-1 and negatively regulate the production of ROS by upregulating the expression of Nrf2, thus protecting human retinal endothelial cells from oxidative damage caused by high glucose.

This study aims to compare postoperative refractive error results using Pentacam (Oculus Optikgeräte GmbH) Holladay equivalent keratometry readings (EKR) or IOLMaster 700 (Carl Zeiss Meditec AG) keratometry (K) values in IOL power calculation.

This retrospective study included 54 eyes of 31 patients who underwent cataract surgery. Preoperative biometric measurements of all patients were obtained using IOLMaster 700 followed by Pentacam measurements. IOLMaster 700K measurements on horizontal (K1) and vertical (K2) axes and EKR measurements on 2mm (EKR2mm), 3mm (EKR3mm) and 4.5mm (EKR4.5mm) corneal zones were recorded. EKR4.5mm value and IOLMaster 700K values were used in Holladay-II, SRK/T, Haigis, and Hoffer-Q formulas to calculate predictive refractive error (PRE). Absolute refractive error (ARE) was calculated as the absolute difference between actual postoperative refractive error (APRE) and PRE values.

Mean age was 72.2 ± 8.3 (51-87) years and mean IOL power was 21.5 ± 2.9 D (18-23 D). There was no significant difference between PRE values when IOLMaster 700K measurements and EKR4.5mmK measurements were used in Holladay-II, SRK/T, Haigis, and Hoffer-Q formulas (p = 0.571, p = 0.833, p = 0.165, p = 0.347, respectively). There was no significant difference between APRE and ARE values (p = 0.124). According to mean ARE results, the closest estimate was achieved when the IOLMaster 700K values were used in the Holladay-II formula (p = 0.271).

IOLMaster 700K measurement and Pentacam EKR4.5mm measurements can be used interchangeably. IOLMaster 700K values yielded the most predictive measurement of the refractive result using the Holladay-II formula.

IOLMaster 700 K measurement and Pentacam EKR4.5 mm measurements can be used interchangeably. IOLMaster 700 K values yielded the most predictive measurement of the refractive result using the Holladay-II formula.

Epidemiological and clinical parameters according to the Parker-Palmer Index (PPI) have not been specifically studied as predictors of re-fracture time in patients over 65years old with contralateral hip fracture. The main purpose of this study was to assess whether these parameters could represent a prognostic factor in this population.

This retrospective study included all consecutive patients older than 65years that suffered from a proximal femoral fracture, 31 according to Association for Osteosynthesis/Orthopaedic Trauma Association classification, treated at our unit between Feb 1st 2019 and Feb 1st 2020.

This study enrolled 387 patients. Thirty-seven of them had already incurred a contralateral hip fracture seven males and 30 females. The median time between the first and second hip fractures was 3.5years. This study revealed that increasing age (p = 0.003), male sex (p = 0.029) and a PPI value ≥ 5 between the first and second hip fracture (p = 0.015) are risk factors associated with a contralateral hip fracture in the first three years after the first episode. There were no statistically significant differences regarding anti-osteoporotic therapy and the anatomic site of the first hip fracture episode.

The results of the present study suggest that several risk factors have a crucial role in hip re-fracture time in patients over 65years old.

The results of the present study suggest that several risk factors have a crucial role in hip re-fracture time in patients over 65 years old.Immunocompromised patients are highly susceptible to invasive aspergillosis. Herein, we identified a homozygous deletion mutation (507 del C) resulting in a frameshift (N170I) and early stop codon in the fungal binding Dectin-2 receptor, in an immunocompromised patient. The mutated form of Dectin-2 was weakly expressed, did not form clusters at/near the cell surface and was functionally defective. PBMCs from this patient were unable to mount a cytokine (TNF, IL-6) response to A. Proteasome inhibitor fumigatus and this first identified Dectin-2-deficient patient succumbed to invasive aspergillosis.Genomic information has a limited dimensionality (number of independent chromosome segments [Me]) related to the effective population size. Under the additive model, the persistence of genomic accuracies over generations should be high when the nongenomic information (pedigree and phenotypes) is equivalent to Me animals with high accuracy. The objective of this study was to evaluate the decay in accuracy over time and to compare the magnitude of decay with varying quantities of data and with traits of low and moderate heritability. The dataset included 161,897 phenotypic records for a growth trait (GT) and 27,669 phenotypic records for a fitness trait (FT) related to prolificacy in a population with dimensionality around 5,000. The pedigree included 404,979 animals from 2008 to 2020, of which 55,118 were genotyped. Two single-trait models were used with all ancestral data and sliding subsets of 3-, 2-, and 1-generation intervals. Single-step genomic best linear unbiased prediction (ssGBLUP) was used to compute genomic estimated breeding values (GEBV). Estimated accuracies were calculated by the linear regression (LR) method. The validation population consisted of single generations succeeding the training population and continued forward for all generations available. The average accuracy for the first generation after training with all ancestral data was 0.69 and 0.46 for GT and FT, respectively. The average decay in accuracy from the first generation after training to generation 9 was -0.13 and -0.19 for GT and FT, respectively. The persistence of accuracy improves with more data. Old data have a limited impact on the predictions for young animals for a trait with a large amount of information but a bigger impact for a trait with less information.