70 research outputs found

    Dissercting the activities of Capicua, Dorsal and Groucho in Drosophila dorsoventral patterning

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    [eng] During early development of bilaterian animals, specific body structures are formed and body axes are established. The establishment of body axes requires the precise and coordinated function of signalling pathways and transcription factors that induce changes at the level of genetic material. The formation of the dorsoventral (DV) axis in the early embryo of Drosophila melanogaster is controlled mainly by the nuclear factor Dorsal (Dl), which forms a ventral to dorsal gradient and both activates and represses genes along the presumptive DV axis. In this thesis we have focused on the transcriptional repression occuring during DV axis establishment. Through genetic and biochemical analysis we have dissected the function of an additional nuclear factor, Capicua (Cic) in the repression of Dl target genes. Cic had been previously suggested to be involved in the repression of Dl targets, however this possible function was obscured by its function in DV patterning during oogenesis. During oogenesis, Cic acts as a member of the signalling pathway that establishes the formation of the Dl gradient in the embryo, thus affects both Dl-dependent activation and repression. We have found that, independently of its function in the ovary, Cic is involved in repression occuring DV patterning of the embryo, and that these two functions are carried by distinct isoforms of the protein. The main embryonic isoform, which was previously characterized, participates in DV patterning of the embryo, while the function of oogenesis is exerted by a different, yet uncharacterized isoform. Repression of genes in the DV axis depends on short enhancer elements (VRE elements), that contain Dl binding sites and AT-rich sequences that highly resemble the consensus binding site for Cic in its other targets in the early embryo. We have detected a direct interaction between the embryonic Cic protein and the AT-rich sequences adjacent to the Dl binding sites in the VRE elements of two genes repressed by Dl: zerknüllt (zen) and tolloid (tld). This interaction is of low affinity and, as a consequence, depends on the presence of Dl in the nuclei. Therefore, repression occurs only in ventral regions, where both Cic and Dl are active, distinguishing repression of DV genes from other Cic targets. Furthermore, we have shown that Cic is the key factor for the recruitment of the Groucho (Gro) corepressor to the regulatory sequences of zen. Finally, we have shown that Cic acts as a sensor of the Torso RTK pathway during repression of genes along the DV axis.[spa] Durante el desarrollo temprano de los animales bilaterales se forman estructuras específicas y se establecen ejes corporales. El establecimiento de los ejes corporales requiere el funcionamiento preciso y coordinado de vías de señalización y factores de transcripción que producen cambios a nivel genético. En esta tesis, nos hemos centrado en la formación del eje dorsoventral (DV) en el embrión temprano de Drosophila melanogaster, que esta regulado mayoritariamente por el factor nuclear Dorsal (Dl). Nos hemos enfocado en la represión transcripcional que ocurre durante dicho proceso. Mediante análisis genéticos y bioquímicos hemos descrito el papel de otro factor nuclear, el represor Capicua (Cic) en la represión de genes dianas de Dl. Nuestro estudio demuestra una implicación directa de Cic en la represión de los genes diana de Dl. Hemos visto una unión directa de Cic en cis-elementos que están adjuntos a los sitios de unión de Dl en los promotores de los genes diana. La unión de Cic a estos sitios ocurre con baja afinidad y, como consecuencia, depende de la presencia de Dl en el núcleo. Además, hemos demostrado que Cic es el elemento clave para el reclutamiento del corepresor Groucho (Gro) a las secuencias reguladoras de los genes reprimidos en el eje DV. Por último, hemos visto que la regulación de Cic por la vía de señalización RTK Torso es el mecanismo principal de modulación de la represión de los genes diana de Dl en las extremidades del embrió

    FGF-23 Levels before and after Renal Transplantation

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    Phosphatonin fibroblast growth factor-23 (FGF-23) is involved in phosphate (P) excretion and vitamin D metabolism. Recently, FGF-23 has been suggested to be responsible for the hypophosphatemia and inappropriately low calcitriol levels observed after renal transplantation. We performed a prospective study to investigate FGF-23 levels in patients with end-stage renal disease before and after renal transplantation and their probable association with markers of bone and mineral metabolism. Intact FGF-23 levels were determined before and at 3, 6, and 12 months posttransplantation in 18 renal transplant recipients. Intact parathyroid hormone (iPTH), calcium (Ca), P, 25(OH)VitD, and 1,25(OH)2VitD levels were measured at the same time periods. Renal threshold phosphate concentration (TmPO4/GFR) was also calculated at 3, 6, and 12 months posttransplantation. The results showed that FGF-23 levels decreased by 89% 3 months posttransplantation (346 ± 146 versus 37 ± 9 pg/mL, P < .01) and remained stable throughout the study period. iPTH and P levels also decreased significantly after renal transplantation, while Ca and 1,25(OH)2VitD increased. Pretransplantation FGF-23 was significantly correlated with P levels at 3 months posttransplantation (P < .005). In conclusion, FGF-23 levels decrease dramatically after successful renal transplantation. Pre-transplantation FGF-23 correlate with P levels 3 months posttransplantation

    Clinical Study FGF-23 Levels before and after Renal Transplantation

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    Recommended by Bruce Kaplan Phosphatonin fibroblast growth factor-23 (FGF-23) is involved in phosphate (P) excretion and vitamin D metabolism. Recently, FGF-23 has been suggested to be responsible for the hypophosphatemia and inappropriately low calcitriol levels observed after renal transplantation. We performed a prospective study to investigate FGF-23 levels in patients with end-stage renal disease before and after renal transplantation and their probable association with markers of bone and mineral metabolism. Intact FGF-23 levels were determined before and at 3, 6, and 12 months posttransplantation in 18 renal transplant recipients. Intact parathyroid hormone (iPTH), calcium (Ca), P, 25(OH)VitD, and 1,25(OH) 2 VitD levels were measured at the same time periods. Renal threshold phosphate concentration (TmPO 4 /GFR) was also calculated at 3, 6, and 12 months posttransplantation. The results showed that FGF-23 levels decreased by 89% 3 months posttransplantation (346 ± 146 versus 37 ± 9 pg/mL, P &lt; .01) and remained stable throughout the study period. iPTH and P levels also decreased significantly after renal transplantation, while Ca and 1,25(OH) 2 VitD increased. Pretransplantation FGF-23 was significantly correlated with P levels at 3 months posttransplantation (P &lt; .005). In conclusion, FGF-23 levels decrease dramatically after successful renal transplantation. Pre-transplantation FGF-23 correlate with P levels 3 months posttransplantation

    Association between PCSK9 levels and markers of inflammation, oxidative stress, and endothelial dysfunction in a population of nondialysis chronic kidney disease patients

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    Proprotein convertase subtilisin/kexin 9 (PCSK9) plays an important role in lipid metabolism while available literature regarding its involvement in the pathogenesis of atherosclerosis and in the expression of genes associated with apoptosis and inflammation is constantly increasing. Patients with chronic kidney disease (CKD) experience disproportionately increased cardiovascular morbidity and mortality due to dyslipidemia, accelerated atherosclerosis, inflammation, oxidative stress, and other risk factors. In the present cross-sectional study, we investigated the possible association of serum PCSK9 levels with markers of inflammation, oxidative stress, and endothelial damage in patients with CKD. Patients and Methods. Ninety-two patients with CKD stages II-ΙV (eGFR CKD-EPI 47.3±25.7 ml/min/1.73 m2, mean age 66 years, 51 men) were included in the study. Plasma PCSK9 levels were correlated with comorbidities (arterial hypertension, diabetes mellitus, and history of cardiovascular disease), renal function indices (eGFR, proteinuria–UPR/24 h), lipid parameters (LDL-cholesterol, HDL-cholesterol, triglycerides, Lp(a), APO-A1, and APO-B), and soluble biomarkers of inflammation, oxidative stress, and endothelial damage (hs-CRP, fibrinogen, 8-epiPGF2a, ox-LDL, IL-6, TNF-α, sICAM-1, and sVCAM-1). Results. The mean plasma value of PCSK9 was 278.1 ng/ml. PCSK9 levels showed direct correlation with serum triglycerides (p=0.03), Lp(a) (p=0.01), and sICAM-1 levels (p=0.03). There was no significant correlation between PCSK9 levels and indices of the renal function, other lipid profile parameters, inflammatory markers, or comorbidities. Multiple regression analysis showed a significant effect of Lp(a) on PCSK9 levels, and for each unit of higher Lp(a), an increase by 3.082 is expected (95% CI: 0.935-5.228, p=0.006). At the same time, patients receiving statins are expected to have on average 63.8 ng/ml higher PCSK9 values compared to patients not receiving statins (95% CI: 14.6-113.5, p=0.012). Conclusion. Plasma levels of PCSK9 in nondialysis CKD patients are correlated with endothelial dysfunction and lipid metabolism parameters. Statin intake increases PCSK9 levels significantly in this patient population. PCSK9 levels are not correlated with the severity of kidney disease. Major prospective studies are necessary to investigate the role of PCSK9 in the atherosclerotic cardiovascular outcome in CKD

    Ambulatory blood pressure trajectories and blood pressure variability in kidney transplant recipients: a comparative study against chronic kidney disease patients

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    Background Hypertension is a major cardiovascular risk factor in both kidney transplant recipients (KTRs) and patients with chronic kidney disease (CKD). Ambulatory blood pressure monitoring (ABPM) is considered the gold-standard method for hypertension management in these subjects. This is the first study evaluating the full ambulatory blood pressure (BP) profile and short-term BP variability (BPV) in KTRs versus CKD patients without kidney replacement therapy. Methods Ninety-three KTRs were matched with 93 CKD patients for age, sex, and estimated glomerular filtration rate. All participants underwent 24-hour ABPM. Mean ambulatory BP levels, BP trajectories, and BPV indices (standard deviation [SD], weighted SD, and average real variability) were compared between the two groups. Results There were no significant between-group differences in 24-hour systolic BP (SBP)/diastolic BP (DBP) (KTRs: 126.9 ± 13.1/79.1 ± 7.9 mmHg vs. CKD: 128.1 ± 11.2/77.9 ± 8.1 mmHg, p = 0.52/0.29), daytime SBP/DBP and nighttime SBP; nighttime DBP was slightly higher in KTRs (KTRs: 76.5 ± 8.8 mmHg vs. CKD: 73.8 ± 8.8 mmHg, p = 0.04). Repeated measurements analysis of variance showed a significant effect of time on both ambulatory SBP and DBP (SBP: F = [19, 3002] = 11.735, p < 0.001, partial η2 = 0.069) but not of KTR/CKD status (SBP: F = [1, 158] = 0.668, p = 0.42, partial η2 = 0.004). Ambulatory systolic/diastolic BPV indices were not different between KTRs and CKD patients, except for 24-hour DBP SD that was slightly higher in the latter group (KTRs: 10.2 ± 2.2 mmHg vs. CKD: 10.9 ± 2.6 mmHg, p = 0.04). No differences were noted in dipping pattern between the two groups. Conclusion Mean ambulatory BP levels, BP trajectories, and short-term BPV indices are not significantly different between KTRs and CKD patients, suggesting that KTRs have a similar ambulatory BP profile compared to CKD patients without kidney replacement therapy

    Design and baseline characteristics of the finerenone in reducing cardiovascular mortality and morbidity in diabetic kidney disease trial

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    Background: Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. Patients and Methods: The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate >= 25 mL/min/1.73 m(2) and albuminuria (urinary albumin-to-creatinine ratio >= 30 to <= 5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level alpha = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Conclusions: FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049

    Automatic identification of variables in epidemiological datasets using logic regression

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    textabstractBackground: For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be processed, this can be a time-consuming and error-prone task. Automated or semi-automated identification of variables can help to reduce the workload and improve the data quality. For semi-automation high sensitivity in the recognition of matching variables is particularly important, because it allows creating software which for a target variable presents a choice of source variables, from which a user can choose the matching one, with only low risk of having missed a correct source variable. Methods: For each variable in a set of target variables, a number of simple rules were manually created. With logic regression, an optimal Boolean combination of these rules was searched for every target variable, using a random subset of a large database of epidemiological and clinical cohort data (construction subset). In a second subset of this database (validation subset), this optimal combination rules were validated. Results: In the construction sample, 41 target variables were allocated on average with a positive predictive value (PPV) of 34%, and a negative predictive value (NPV) of 95%. In the validation sample, PPV was 33%, whereas NPV remained at 94%. In the construction sample, PPV was 50% or less in 63% of all variables, in the validation sample in 71% of all variables. Conclusions: We demonstrated that the application of logic regression in a complex data management task in large epidemiological IPD meta-analyses is feasible. However, the performance of the algorithm is poor, which may require backup strategies
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