IPMK and β-catenin take part in PLC-β1-dependent signaling pathway during myogenic differentiation

Phospholipase C (PLC)-β1 catalytic activity plays an essential role in the initiation of myogenic differentiation but the effectors involved in its signaling pathway are not well defined[1,2]. Here, we show that the overexpression of the Inositol Polyphosphate Multikinase (IPMK) promotes myogenic differentiation, and that IPMK targets the same cyclin D3 promoter region activated by PLC-β1. Moreover, cyclin D3 promoter activation relies upon c-jun binding to the promoter, both in response to PLC-β1 and to IPMK overexpression. Furthermore, both IPMK and PLC-β1 overexpression determines an increase in β-catenin translocation and accumulation to the nuclei of differentiating myoblasts resulting in higher MyoD activation. Therefore, our data show that PLC-β1, IPMK and β-catenin are mediators of the same signaling pathway that regulates cyclin D3 and myosin heavy chain (MYH) induction during myogenic differentiation

T2* Heterogeneity detected by CMR could be Related to Myocardial Iron Distribution in Thalassemia Patients

A large percentage of thalassemia major (TM) patients shows a significant heterogeneity of segmental distribution of T2* values in myocardium, measured by multislice multiecho T2* cardiac magnetic resonance (CMR). This finding is in agreement with previous histological studies that have detected heterogeneous iron deposition in hemochromatotic hearts. However, it is not yet clear if that represented true heterogeneous iron density or if it could have been generated by geometric and susceptibility artefacts

Phosphoinositide-dependent signaling in cancer: A focus on phospholipase C isozymes

Phosphoinositides (PI) form just a minor portion of the total phospholipid content in cells but are significantly involved in cancer development and progression. In several cancer types, phosphatidylinositol 3,4,5-trisphosphate [PtdIns(3,4,5)P3] and phosphatidylinositol 4,5-bisphosphate [PtdIns(4,5)P2] play significant roles in regulating survival, proliferation, invasion, and growth of cancer cells. Phosphoinositide-specific phospholipase C (PLC) catalyze the generation of the essential second messengers diacylglycerol (DAG) and inositol 1,4,5 trisphosphate (InsP3) by hydrolyzing PtdIns(4,5)P2. DAG and InsP3 regulate Protein Kinase C (PKC) activation and the release of calcium ions (Ca2+) into the cytosol, respectively. This event leads to the control of several important biological processes implicated in cancer. PLCs have been extensively studied in cancer but their regulatory roles in the oncogenic process are not fully understood. This review aims to provide up-to-date knowledge on the involvement of PLCs in cancer. We focus specifically on PLC\u3b2, PLC\u3b3, PLC\u3b4, and PLC\u3c9 isoforms due to the numerous evidence of their involvement in various cancer types

CMR T2* Technique for Segmental and Global Quantification of Myocardial Iron: Multicentre Transferability and Healthcare Impact Evaluation

The multislice multiecho T2* technique is transferable among scanners with good reproducibility. The network seems to be a robust and scalable system in which T2* CMR based cardiac iron overload assessment is available, accessible and reachable for a significant and increasing number of thalassemia patients, reducing the mean distance from the patients\u27 locations to the CMR sites

Epigenetic regulation of nuclear PLCbeta1 and Cyclin D3 during Azacitidine treatment

The Myelodysplastic Syndromes (MDS) are a heterogeneous group of bone marrow disorders characterized by alterations of the hematopoietic stem cells that lead to anemia, neutropenia, bleeding problems and infections. The evidence of a clinical correlation between the presence of a monoallelic gene deletion of Phospholipase Cβ1 (PLCβ1) and the progression of MDS to Acute Myeloid Leukemia (AML) opened new perspectives of research and treatments. Patients affected by MDS with a higher risk of AML evolution have a reduction in the expression of the nuclear PLCβ1, which is also epigenetically relevant in MDS. This strengthens the importance of PLCβ1 localization. In fact, PLCβ1 is a molecular target for hypomethylating agents, such Azacitidine (AZA)(1). High-risk MDS patients that respond to the drug showed an increased expression of nuclear PLCβ1 and its downstream target Cyclin D3 (CCND3), an induction of normal myeloid differentiation, and a better prognosis. Stemming from these data, our goal was to analyze the correlation between CCND3, PLCβ1 and AZA treatment. Firstly, we treated two different cellular lines, AML HL60 and histiocytic lymphoma U937, with AZA 5μM (Ec50 for HL60 cells) for 24 hours. Then, we used Real-Time PCR and Western blot to quantify both gene and protein expression. Moreover, we showed that CCND3 promoter has one CpG island. For this reason, it is possible that AZA could directly affect both PLCβ1 and CCND3 promoters. Therefore, we studied PLCβ1 binding to CCND3 promoter by chromatin immunoprecipitation (CHIP), before and after AZA treatment. Our results evidenced that the recruitment of PLCβ1 to CCND3 promoter is specifically increased after AZA treatment, leading to suppose that PLCβ1 could have a pivotal role in MDS with either a direct or indirect effect on cell cycle, proliferation and differentiation. These complicate relations need future deepening in order to demonstrate how PLCβ1 binding actually regulates CCND3 expression and how much this expression depends on CCND3 direct promoter demethylation and PLCβ1 control

Tumor evolution metrics predict recurrence beyond 10 years in locally advanced prostate cancer

Cancer evolution lays the groundwork for predictive oncology. Testing evolutionary metrics requires quantitative measurements in controlled clinical trials. We mapped genomic intratumor heterogeneity in locally advanced prostate cancer using 642 samples from 114 individuals enrolled in clinical trials with a 12-year median follow-up. We concomitantly assessed morphological heterogeneity using deep learning in 1,923 histological sections from 250 individuals. Genetic and morphological (Gleason) diversity were independent predictors of recurrence (hazard ratio (HR) = 3.12 and 95% confidence interval (95% CI) = 1.34–7.3; HR = 2.24 and 95% CI = 1.28–3.92). Combined, they identified a group with half the median time to recurrence. Spatial segregation of clones was also an independent marker of recurrence (HR = 2.3 and 95% CI = 1.11–4.8). We identified copy number changes associated with Gleason grade and found that chromosome 6p loss correlated with reduced immune infiltration. Matched profiling of relapse, decades after diagnosis, confirmed that genomic instability is a driving force in prostate cancer progression. This study shows that combining genomics with artificial intelligence-aided histopathology leads to the identification of clinical biomarkers of evolution

The rapid spread of SARS-COV-2 Omicron variant in Italy reflected early through wastewater surveillance

The SARS-CoV-2 Omicron variant emerged in South Africa in November 2021, and has later been identified worldwide, raising serious concerns. A real-time RT-PCR assay was designed for the rapid screening of the Omicron variant, targeting characteristic mutations of the spike gene. The assay was used to test 737 sewage samples collected throughout Italy (19/21 Regions) between 11 November and 25 December 2021, with the aim of assessing the spread of the Omicron variant in the country. Positive samples were also tested with a real-time RT-PCR developed by the European Commission, Joint Research Centre (JRC), and through nested RT-PCR followed by Sanger sequencing. Overall, 115 samples tested positive for Omicron SARS-CoV-2 variant. The first occurrence was detected on 7 December, in Veneto, North Italy. Later on, the variant spread extremely fast in three weeks, with prevalence of positive wastewater samples rising from 1.0% (1/104 samples) in the week 5–11 December, to 17.5% (25/143 samples) in the week 12–18, to 65.9% (89/135 samples) in the week 19–25, in line with the increase in cases of infection with the Omicron variant observed during December in Italy. Similarly, the number of Regions/Autonomous Provinces in which the variant was detected increased fromone in the first week, to 11 in the second, and to 17 in the last one. The presence of the Omicron variant was confirmed by the JRC real-time RT-PCR in 79.1% (91/115) of the positive samples, and by Sanger sequencing in 66% (64/97) of PCR amplicons

The rapid spread of SARS-COV-2 Omicron variant in Italy reflected early through wastewater surveillance

The SARS-CoV-2 Omicron variant emerged in South Africa in November 2021, and has later been identified worldwide, raising serious concerns. A real-time RT-PCR assay was designed for the rapid screening of the Omicron variant, targeting characteristic mutations of the spike gene. The assay was used to test 737 sewage samples collected throughout Italy (19/21 Regions) between 11 November and 25 December 2021, with the aim of assessing the spread of the Omicron variant in the country. Positive samples were also tested with a real-time RT-PCR developed by the European Commission, Joint Research Centre (JRC), and through nested RT-PCR followed by Sanger sequencing. Overall, 115 samples tested positive for Omicron SARS-CoV-2 variant. The first occurrence was detected on 7 December, in Veneto, North Italy. Later on, the variant spread extremely fast in three weeks, with prevalence of positive wastewater samples rising from 1.0% (1/104 samples) in the week 5-11 December, to 17.5% (25/143 samples) in the week 12-18, to 65.9% (89/135 samples) in the week 19-25, in line with the increase in cases of infection with the Omicron variant observed during December in Italy. Similarly, the number of Regions/Autonomous Provinces in which the variant was detected increased from one in the first week, to 11 in the second, and to 17 in the last one. The presence of the Omicron variant was confirmed by the JRC real-time RT-PCR in 79.1% (91/115) of the positive samples, and by Sanger sequencing in 66% (64/97) of PCR amplicons. In conclusion, we designed an RT-qPCR assay capable to detect the Omicron variant, which can be successfully used for the purpose of wastewater-based epidemiology. We also described the history of the introduction and diffusion of the Omicron variant in the Italian population and territory, confirming the effectiveness of sewage monitoring as a powerful surveillance tool

A non-essential function for yeast frataxin in iron-sulfur cluster assembly

Friedreich's ataxia is caused by a deficit in frataxin, a small mitochondrial protein of unknown function that has been conserved during evolution. Previous studies have pointed out a role for frataxin in mitochondrial iron-sulfur (Fe-S) metabolism. Here, we have analyzed the incorporation of Fe-S clusters into yeast ferredoxin imported into isolated energized mitochondria from cells grown in the presence of glycerol, an obligatory respiratory carbon source. Similar amounts of apo-ferredoxin precursor were imported into mitochondria and processed in wild-type and yfh1-deleted (delta YF111) strains. However, the incorporation of Fe-S clusters into apo-ferredoxin was significantly reduced in delta YFH1 mitochondria. The newly assembled ferredoxin was stable, excluding the possibility that the decreased incorporation was a result of increased oxidative damage. When delta YFH1 cells were grown in raffinose medium, the formation of holo-ferredoxin was low, as a consequence of the decrease in ferredoxin precursor import into mitochondria. However, the decrease in the conversion rate of apo- into holo-ferredoxin was in the same range as for glycerol-grown cells, indicating that the extent of the defect in Fe-S protein assembly is similar under different physiological conditions. These data show that frataxin is not essential for Fe-S protein assembly, but improves the efficiency of the process. The large variations observed in the activity of Fe-S cluster proteins under different physiological conditions result from secondary defects in the physiology of delta YFH1 cells