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The evolution of genetic exploration tools, from laborious methods like radiationinduced mutations to the transformative CRISPR-Cas9 system, has fundamentally reshaped genetic research and gene editing capabilities. This journey, initiated by foundational techniques such as ZFNs and TALENs and culminating in the groundbreaking work of Doudna and Charpentier in 2012, has ushered in an era of precise DNA alteration and profound insights into gene functions. The CRISPR/Cas9 system uses the Cas9 enzyme and guides RNA (gRNA) to precisely target and cleave DNA, with subsequent repair via error-prone NHEJ or precise HDR, enabling versatile gene editing.

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Background: Systemic inflammatory diseases (SIDs) have been reported in patients with sickle cell disease (SCD), but clinical data in children are scarce.

Objectives: To identify clinical and laboratory features at diagnosis of SID in children with SCD and to describe their evolution.

Methods: Data from children with SCD and SIDs were retrospectively collected in a French multicenter study from 1991 to 2018.

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Despite progress in healthcare services for individuals living with sickle cell disease (SCD) in Africa, substantial gaps remain in advanced treatments for SCD. To help address this burden, Tanzania has established one of the largest single-centre SCD programmes in the world and developed an advanced therapy programme for SCD focused on patient engagement and advocacy, clinical activities involving exchange blood transfusion (ExBT) and haematopoietic stem cell transplant (HSCT), gene therapy (GT) preparedness, and enabling partnerships. This report describes the programme's genesis, structure and progress achieved.

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An efficient heuristic for geometric analysis of cell deformations.

Comput Biol Med

January 2025

SCOPIA Research Group, University of the Balearic Islands, Dpt. of Mathematics and Computer Science, Crta. Valldemossa, Km 7.5, Palma, E-07122, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma, E-07122, Spain; Laboratory for Artificial Intelligence Applications at UIB (LAIA@UIB), Palma, E-07122, Spain; Artificial Intelligence Research Institute of the Balearic Islands (IAIB), Palma, E-07122, Spain. Electronic address:

Sickle cell disease causes erythrocytes to become sickle-shaped, affecting their movement in the bloodstream and reducing oxygen delivery. It has a high global prevalence and places a significant burden on healthcare systems, especially in resource-limited regions. Automated classification of sickle cells in blood images is crucial, allowing the specialist to reduce the effort required and avoid errors when quantifying the deformed cells and assessing the severity of a crisis.

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Babesiosis in sickle cell disease (SCD) is marked by severe anemia but the underlying red blood cell (RBC) rheological parameters remain largely undefined. Here, we describe altered RBC deformability from both primary (host RBC sickle hemoglobin mediated) and secondary changes (Babesia parasite infection mediated) to the RBC membrane using wild type AA, sickle trait AS and sickle SS RBCs. Our ektacytometry (LORRCA) analysis demonstrates that the changes in the host RBC bio-mechanical properties, pre- and post- Babesia infection, reside on a spectrum of severity, with wild type infected AA cells, despite showing a significant reduction of deformability under both shear and osmolarity gradients, exhibiting only a mild phenotype; compared to infected AS RBCs which show median changes in deformability and infected SS RBCs which exhibit the most dramatic impact of infection on cellular rheology, including an increase in Point of Sickling values.

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