Full-scale validation of an algal productivity model including nitrogen limitation

International audienceAccurate predictions of algal productivity under nutrient-limiting conditions are needed to assess the economics of full-scale algal cultivation for the developing markets of food, feed, and at longer term, green chemistry and biofuel. In particular, predicting pigments production from micro-algae is a critical milestone in the assessments of high-value chemicals production from micro-algae. This study validates a mathematical model predicting algal biomass productivity in outdoor raceway ponds under nitrogen-limiting conditions. The model was first validated from experimental data collected during Dunaliella salina cultivation in indoor photobioreactors and accounts for the impact of light, temperature, and nitrogen concentration on algal productivity (overall accuracy on algal concentration of ±2.7 mg L−1, N = 48). The model was then validated against data collected in outdoor raceway ponds over a period of 2 years, representing a total of 111 days of cultivation. Biomass and extracellular nitrogen concentrations predictions were accurate within ±0.055 g L−1 (N = 69) and ±0.0024 g L−1 (N = 26), respectively. Model inaccuracies were mostly due to measurement errors and uncertainties on model inputs. Measured carotenoids concentrations were found proportional to the biomass concentrations in the outdoor raceway ponds. By coupling this linear correlation to the productivity model, predicted carotenoids concentrations were in good agreement with experimental data (accuracy within ±0.0046 g L−1, N = 55). The mathematical model developed in this study has therefore the potential to refine previous assessments of algal cultivation for biofuels and pigments production

Early detection of multiple bone and extra-skeletal metastases by body magnetic resonance imaging (BMRI) after treatment of Myxoid/Round-Cell Liposarcoma (MRCLS)

International audienceIntroduction: Myxoid Round cell containing myxoid liposarcomas (MRCLS) have a high propensity to metastasize to soft tissue and bone. Whole Body Magnetic Resonance Imaging (BMRI) has been reported as a critical modality to early detect disease spreading in asymptomatic patients. The purpose of this study is to describe metastatic patterns and outcomes in patients through annual BMRI surveillance after diagnosis of MRCLS of the extremities and trunk.Materiel and patients: This retrospective study included patients with histology confirmed MRCLS. Initial BMRI were done within 6 months following the first line treatment then once a year.Results: Forty-five out of 51 consecutive MRCLS patients were included. At the last follow-up 10 patients (22.2%) had an extra-pulmonary soft-tissue or/and bone metastasis detected in a median delay of 22.7±16 months [0-49] from the diagnosis of the MRCLS. Nine patients were asymptomatic. Finally, 5-years metastatic free survival was 72±8%. All metastatic patients had multiple lesion within the year following the first lesion diagnosis.Conclusion: Systematic BMRI in MRCLS patients following treatment frequently identify extra-pulmonary metastasis in asymptomatic patients within the first 5 years of follow-up. Despite a long survival can be expected after diagnosis, extra-skeletal metastasis was a signal of disseminated disease

HLA-matched related donor hematopoietic stem cell transplantation is a suitable treatment in adolescents and adults with sickle cell disease: Comparison of myeloablative and non-myeloablative approaches

SCOPUS: le.jinfo:eu-repo/semantics/publishe

LSC17 score complements genetics and measurable residual disease in acute myeloid leukemia: an ALFA study

International audienceWhether the LSC17 gene expression can improve risk stratification in the context of NGS-based risk stratification and measurable residual disease (MRD) in AML patients treated intensively has not been explored. We analyzed LSC17 in 504 adult patients prospectively treated in the ALFA-0702 trial. Multiple (cyto)genetic alterations were associated with changes in LSC17, such as higher LSC17 in patients with RUNX1 or TP53 mutations, and lower scores in those with CEBPA and NPM1 mutations. LSC17-high patients had a lower rate of complete response (CR) or CR with incomplete platelet recovery (CRp) after one induction course in a multivariable analysis (OR=0.41, p=0.0007) accounting for European LeukemiaNet 2022 (ELN22) risk groups, age, and white blood cell (WBC) count. The LSC17-high status was associated with shorter overall survival (OS) (3-year OS: 70.0% versus 52.7% in LSC17-low patients, p<0.0001). In a multivariable analysis considering ELN22, age and WBC count, LSC17-high patients had shorter disease-free survival (DFS) (HR=1.36, p=0.048) compared to LSC17-low patients. In 123 NPM1-mutated patients in CR/CRp with available MRD data, LSC17-high status predicted poorer DFS (HR=2.34, p=0.01) independently of age, WBC count, ELN22 risk, and NPM1-MRD. Combining MRD and LSC17 status identified a subset of 48% of NPM1 patients with LSC17-low status and negative NPM1-MRD with a 3-year OS from CR/CRp of 93.1% compared to 60.7% in those with LSC17-high status and/or positive NPM1-MRD (p=0.0001). Overall, LSC17 assessment refines genetic risk stratification in adult AML patients treated intensively. Combined with MRD, LSC17 identifies a subset of NPM1-mutated AML patients with excellent clinical outcome

Distinct clinico-molecular arterial and venous thrombosis scores for myeloproliferative neoplasms risk stratification

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Cystine Uptake Inhibition Potentiates Front-Line Therapies In Acute Myeloid Leukemia

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Cystine uptake inhibition potentiates front-line therapies in acute myeloid leukemia.

By querying metabolic pathways associated with leukemic stemness and survival in multiple AML datasets, we nominated SLC7A11 encoding the xCT cystine importer as a putative AML dependency. Genetic and chemical inhibition of SLC7A11 impaired the viability and clonogenic capacity of AML cell lines in a cysteine-dependent manner. Sulfasalazine, a broadly available drug with xCT inhibitory activity, had anti-leukemic activity against primary AML samples in ex vivo cultures. Multiple metabolic pathways were impacted upon xCT inhibition, resulting in depletion of glutathione pools in leukemic cells and oxidative stress-dependent cell death, only in part through ferroptosis. Higher expression of cysteine metabolism genes and greater cystine dependency was noted in NPM1-mutated AMLs. Among eight anti-leukemic drugs, the anthracycline daunorubicin was identified as the top synergistic agent in combination with sulfasalazine in vitro. Addition of sulfasalazine at a clinically relevant concentration significantly augmented the anti-leukemic activity of a daunorubicin-cytarabine combination in a panel of 45 primary samples enriched in NPM1-mutated AML. These results were confirmed in vivo in a patient-derived xenograft model. Collectively, our results nominate cystine import as a druggable target in AML and raise the possibility to repurpose sulfasalazine for the treatment of AML, notably in combination with chemotherapy

Quantifying Microstructural Evolution in Moving Magma

Many of the grand challenges in volcanic and magmatic research are focused on understanding the dynamics of highly heterogeneous systems and the critical conditions that enable magmas to move or eruptions to initiate. From the formation and development of magma reservoirs, through propagation and arrest of magma, to the conditions in the conduit, gas escape, eruption dynamics, and beyond into the environmental impacts of that eruption, we are trying to define how processes occur, their rates and timings, and their causes and consequences. However, we are usually unable to observe the processes directly. Here we give a short synopsis of the new capabilities and highlight the potential insights that in situ observation can provide. We present the XRheo and Pele furnace experimental apparatus and analytical toolkit for the in situ X-ray tomography-based quantification of magmatic microstructural evolution during rheological testing. We present the first 3D data showing the evolving textural heterogeneity within a shearing magma, highlighting the dynamic changes to microstructure that occur from the initiation of shear, and the variability of the microstructural response to that shear as deformation progresses. The particular shear experiments highlighted here focus on the effect of shear on bubble coalescence with a view to shedding light on both magma transport and fragmentation processes. The XRheo system is intended to help us understand the microstructural controls on the complex and non-Newtonian evolution of magma rheology, and is therefore used to elucidate the many mobilization, transport, and eruption phenomena controlled by the rheological evolution of a multi-phase magmatic flows. The detailed, in situ characterization of sample textures presented here therefore represents the opening of a new field for the accurate parameterization of dynamic microstructural control on rheological behavior