Drug-coated balloon: Long-term outcome from a real world three-center experience.

OBJECTIVES: In-stent restenosis (ISR) and diffuse small vessel disease still represent challenging subsets for percutaneous coronary interventions, also in the new-generation DES era. We aim at reporting on the long-term clinical outcome of drug-coated balloons (DCB) in all-comers population. METHODS: Consecutive patients treated with DCB between January 2011 and December 2014 were retrospectively studied in three centers of northern Italy. The measured end-points were cardiac death, myocardial infarction (MI), target lesion revascularization (TLR), and major adverse cardiac events (MACE) defined as combination of cardiac death, MI, and TLR. RESULTS: We included 143 patients. Of the 167 lesions treated, 41 (24.5%) were de novo lesions in small coronary vessels (<2.5 mm) and 126 (75.4%) were ISR. Among ISR lesions, 78.5% were DES-ISR, 32.5% were focal, 15.8% multifocal, 30.1% diffuse, 18.2% proliferative, and 3.1% were total occlusions. Procedural success was achieved in 94.6% of cases. Overall survival free from MACEs was 91.6% at 12 months, and 75.3% at 48 months, with a total of 3 cardiac deaths, 8 MI, and 27 TLR. No thrombotic event occurred in the treated segments. There were no differences in MACESs between the ISR and de novo lesions groups. At multivariate analysis, acute coronary syndromes, previous MI, previous surgical revascularization, peripheral arterial disease and diabetes were independent predictors of MACEs at long-term follow-up. CONCLUSIONS: DCB proved a valid revascularization strategy in an all-comers population of patients with ISR and de novo lesions in small vessels, with an acceptable rate of cardiac events up to 48 months follow-up.

A harmonised dataset for modelling select underutilised crops Across EU.

Whilst simulating crop performance in different environments can help fill the knowledge gap and improve the adoption of crops that are currently neglected and underutilised in conventional agrifood systems, lack of experimental data remains a barrier to widespread modelling of these crops. To date, no attempt has been made to collate sub-species crop data that are specifically suited for modelling underutilised crops. This article describes the first attempt to develop a database for crop modelling data with a focus on European underutilised crops. Following a pilot study to identify crops with the potential across the EU, a structured dataset of detailed experimental data was developed by analysing more than 500 agronomic studies that were published across European agroclimatic zones from 1972 to 2022. The dataset contains minimum information for calibrating basic crop models for any location in the EU provided that enough experimental and environmental data are available. More specifically, the database includes crop phenology, yield, management practices, geographic and pedo-climatic details of select underutilised and neglected species. The information underwent a curation procedure to ensure its quality. The collated database will be used in CropBASE, the global knowledge base for underutilised crops.

Intra- and inter-chromosomal interactions correlate with CTCF binding genome wide.

A prime goal in systems biology is the comprehensive use of existing high-throughput genomic datasets to gain a better understanding of chromatin organization and genome function. In this report, we use chromatin immunoprecipitation (ChIP) data that map protein-binding sites on the genome, and Hi-C data that map interactions between DNA fragments in the genome in an integrative approach. We first reanalyzed the contact map of the human genome as determined with Hi-C and found that long-range interactions are highly nonrandom; the same DNA fragments are often found interacting together. We then show using ChIP data that these interactions can be explained by the action of the CCCTC-binding factor (CTCF). These CTCF-mediated interactions are found both within chromosomes and in between different chromosomes. This makes CTCF a major organizer of both the structure of the chromosomal fiber within each individual chromosome and of the chromosome territories within the cell nucleus.

New pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems.

For the estimation of the soil organic carbon stocks, bulk density (BD) is a fundamental parameter but measured data are usually not available especially when dealing with legacy soil data. It is possible to estimate BD by applying pedotransfer function (PTF). We applied different estimation methods with the aim to define a suitable PTF for BD of arable land for the Mediterranean Basin, which has peculiar climate features that may influence the soil carbon sequestration. To improve the existing BD estimation methods, we used a set of public climatic and topographic data along with the soil texture and organic carbon data. The present work consisted of the following steps: i) development of three PTFs models separately for top (0-0.4 m) and subsoil (0.4-1.2 m), ii) a 10-fold cross-validation, iii) model transferability using an external dataset derived from published data. The development of the new PTFs was based on the training dataset consisting of World Soil Information Service (WoSIS) soil profile data, climatic data from WorldClim at 1 km spatial resolution and Shuttle Radar Topography Mission (SRTM) digital elevation model at 30 m spatial resolution. The three PTFs models were developed using: Multiple Linear Regression stepwise (MLR-S), Multiple Linear Regression backward stepwise (MLR-BS), and Artificial Neural Network (ANN). The predictions of the newly developed PTFs were compared with the BD calculated using the PTF proposed by Manrique and Jones (MJ) and the modelled BD derived from the global SoilGrids dataset. For the topsoil training dataset (N = 129), MLR-S, MLR-BS and ANN had a R2 0.35, 0.58 and 0.86, respectively. For the model transferability, the three PTFs applied to the external topsoil dataset (N = 59), achieved R2 values of 0.06, 0.03 and 0.41. For the subsoil training dataset (N = 180), MLR-S, MLR-BS and ANN the R2 values were 0.36, 0.46 and 0.83, respectively. When applied to the external subsoil dataset (N = 29), the R2 values were 0.05, 0.06 and 0.41. The cross-validation for both top and subsoil dataset, resulted in an intermediate performance compared to calibration and validation with the external dataset. The new ANN PTF outperformed MLR-S, MLR-BS, MJ and SoilGrids approaches for estimating BD. Further improvements may be achieved by additionally considering the time of sampling, agricultural soil management and cultivation practices in predictive models.

Epithelioid granulomas as main clinical manifestation at the outset of non-Hodgkin's lymphoma: report of two cases.

This article describes two cases of malignant lymphoma in which the finding of a striking epithelioid granulomatosis was the main clinical manifestation at the outset of the patients' history. Despite some suggestive clinical and laboratory data, the final diagnosis of lymphoproliferative disorder was made only after repeated histological studies in both patients. Although the association between a severe granulomatous reaction and a B-cell neoplasm is rare, the latter should be taken into account as a possible primary disease. The pathogenetic mechanisms postulated by the literature as the cause of granulomatous reactions in lymphoproliferative disorders are reported and discussed in relation to the two cases.

Amifostine promotes hemopoietic progenitor cell mobilization in patients with myelodysplastic syndrome.

The multilineage hematological effects of the chemoprotective agent amifostine suggested administration of the drug to patients with myelodysplastic syndromes. Partial but encouraging responses were seen. The aim of this research was to further evaluate amifostine activity on the hemopoietic progenitor cells of myelodysplastic patients. We determined amifostine effects on in vitro growth of pre-treatment peripheral blood and bone marrow hemopoietic progenitor cells from myelodysplastic patients, and colony forming unit granulocyte-macrophage and burst forming unit erythroid levels in the peripheral blood of 7 myelodysplastic patients during and following a 3-week treatment with amifostine (200 mg/m2 i.v., three times a week). No variations were observed for hemoglobin, platelets, white blood cells and reticulocyte values. The peripheral blood levels of both colony forming unit granulocyte-macrophage and burst forming unit erythroid, however, showed a significant and sustained increase. In vitro a significant effect exerted by the drug was observed in single cases, but the in vitro effect did not predict the in vivo increase of peripheral blood levels of hemopoietic progenitor cells. These results appear to provide evidence that amifostine has a significant impact on early events of hemopoiesis in myelodysplastic patients.

Microarray data analysis and mining approaches.

Microarray based transcription profiling is now a consolidated methodology and has widespread use in areas such as pharmacogenomics, diagnostics and drug target identification. Large-scale microarray studies are also becoming crucial to a new way of conceiving experimental biology. A main issue in microarray transcription profiling is data analysis and mining. When microarrays became a methodology of general use, considerable effort was made to produce algorithms and methods for the identification of differentially expressed genes. More recently, the focus has switched to algorithms and database development for microarray data mining. Furthermore, the evolution of microarray technology is allowing researchers to grasp the regulative nature of transcription, integrating basic expression analysis with mRNA characteristics, i.e. exon-based arrays, and with DNA characteristics, i.e. comparative genomic hybridization, single nucleotide polymorphism, tiling and promoter structure. In this article, we will review approaches used to detect differentially expressed genes and to link differential expression to specific biological functions.