Citrus fruits are a natural source of ascorbic acid, and exosome-like nanovesicles obtained from these fruits contain measurable levels of ascorbic acid. We tested the ability of grapefruit-derived extracellular vesicles (EVs) to inhibit the growth of human leukemic cells and leukemic patient-derived bone marrow blasts. Transmission electron microscopy and nanoparticle tracking analysis (NTA) showed that the obtained EVs were homogeneous exosomes, defined as exosome-like plant-derived nanovesicles (ELPDNVs). The analysis of their content has shown measurable amounts of several molecules with potent antioxidant activity. ELPDNVs showed a time-dependent antiproliferative effect in both U937 and K562 leukemic cell lines, comparable with the effect of high-dosage ascorbic acid (2 mM). This result was confirmed by a clear decrease in the number of AML blasts induced by ELPDNVs, which did not affect the number of normal cells. ELPDNVs increased the ROS levels in both AML blast cells and U937 without affecting ROS storage in normal cells, and this effect was comparable to ascorbic acid (2 mM). With our study, we propose ELPDNVs from grapefruits as a combination/supporting therapy for human leukemias with the aim to improve the effectiveness of the current therapies.

Coagulation disorders are described in COVID-19 and long COVID patients. In particular, SARS-CoV-2 infection in megakaryocytes, which are precursors of platelets involved in thrombotic events in COVID-19, long COVID and, in rare cases, in vaccinated individuals, requires further investigation, particularly with the emergence of new SARS-CoV-2 variants. CD147, involved in the regulation of inflammation and required to fight virus infection, can facilitate SARS-CoV-2 entry into megakaryocytes. MCT4, a co-binding protein of CD147 and a key player in the glycolytic metabolism, could also play a role in SARS-CoV-2 infection. Here, we investigated the susceptibility of megakaryocytes to SARS-CoV-2 infection via CD147 and MCT4. We performed infection of Dami cells and human CD34⁺ hematopoietic progenitor cells induced to megakaryocytic differentiation with SARS-CoV-2 pseudovirus in the presence of AC-73 and syrosingopine, respective inhibitors of CD147 and MCT4 and inducers of autophagy, a process essential in megakaryocyte differentiation. Both AC-73 and syrosingopine enhance autophagy during differentiation but only AC-73 enhances megakaryocytic maturation. Importantly, we found that AC-73 or syrosingopine significantly inhibits SARS-CoV-2 infection of megakaryocytes. Altogether, our data indicate AC-73 and syrosingopine as inhibitors of SARS-CoV-2 infection via CD147 and MCT4 that can be used to prevent SARS-CoV-2 binding and entry into megakaryocytes, which are precursors of platelets involved in COVID-19-associated coagulopathy.

Despite the progressive extension of CFTR variant eligibility to the triple combination of elexacaftor/tezacaftor/ivacaftor (ETI), most rare CFTR pathogenic variants remain ineligible for CFTR modulators. It is crucial to determine whether unexplored variants are rescuable by clinical modulators and to identify innovative therapeutic strategies for rescuing non-responder variants. The approach known as “theratyping” (in vitro testing of genotypes) has been accepted by the Food and Drug Administration (FDA) for the extension of clinical modulators’ approval for in vitro responding genotypes. We used one of the most advanced models for theratyping: organoids derived from nasal epithelia of people with cystic fibrosis (pwCF). We optimized the forskolin-induced swelling (FIS) of organoids to assess CFTR basal or modulator-restored function. Nasal organoids mimicked the original epithelial tissue, CFTR residual activity, and modulator response. We set up the FIS assay using nasal organoids with reference genotypes and theratyped 38 rare (non-F508del) CFTR genotypes, either eligible or non-eligible for FDA approval, for treatment with ETI or ivacaftor. We found strong correspondence between the in vitro response of CFTR variants to modulators and their FDA approval status. Additionally, some previously uncharacterized CFTR variants have proven responsive to clinical modulators, with significant therapeutic implications. These results suggest that the nasal organoid FIS assay, pending confirmation of the prediction in the corresponding pwCF, might be considered as a powerful in vitro tool to predict modulator efficacy in each pwCF, guiding out-of-label prescription in CF, and to identify uncharacterized variants responsive to modulators. This approach may allow comparison of the efficacy of different therapeutics or the identification of innovative strategies for non-responding genotypes, improving personalized therapy and quality of life for pwCF.

The differentiation/maturation trajectories of different blood cell types stemming from a CD34⁺ common ancestor takes place in different biologically relevant multidimensional spaces. Here, we generated microRNA and cytokine profiles from highly purified populations of hematopoietic progenitors/precursors derived from cord blood hematopoietic stem/progenitor cells. MicroRNA and cytokine landscapes were then analyzed to find their mutual relationships under the hypothesis that the highly variable miRNome corresponds to the ‘force field’ driving the goal of a stable phenotype (here corresponding to the cytokine abundance pattern) typical of each cell kind. The high dimensionality and lack of linearity of the hematopoietic process pushed us to adopt a distance–geometry approach to compare different trajectories, while a complex network analysis was instrumental in revealing the fine structure of microRNA–cytokine relations. Importantly, the approach enabled us to identify a limited number of factors (represented either by microRNAs or cytokines) corresponding to crucial nodes responsible for connecting distinct interaction modules. Subtle changes in ‘master nodes’, keeping the connections between different regulatory networks, may therefore be crucial in influencing hematopoietic differentiation. These findings highlight the extremely interconnected network structures underlying hematopoiesis regulation and identify key factors in the microRNA/cytokine landscape that may be potentially crucial for influencing network stability.