467 research outputs found

    Reticulocyte hemoglobin equivalent (Ret He) and assessment of iron-deficient states

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    Direct measurement of the reticulocyte hemoglobin content provides useful information for the diagnosis and treatment of iron-deficient states. We have examined direct measurements of reticulocyte and red cell hemoglobin content on the Sysmex XE 2100 (Ret He and RBC He respectively) and the Bayer ADVIA 2120 (CHr and CH respectively) analyzers. Good agreement was found between Ret He and CHr (Y = 1.04X − 1.06; r(2) = 0.88) and between the RBC He and CH parameters (Y = 0.93X + 1; r(2) = 0.84 n = 200) in pediatric patients and in normal adults (Ret He and CHr; Y = 1.06X − 0.43; r(2) = 0.83; n = 126; RBC He and CH; Y = 0.94X + 1; r(2) = 0.87; n = 126). In 1500 blood samples from patients on chronic dialysis, Ret He was compared with traditional parameters for iron deficiency (serum iron <40 μg/dl, Tsat <20%, ferritin <100 ng/ml, hemoglobin <11 g/dl) for identifying iron-deficient states. Receiver operator characteristic (ROC) curve analysis revealed values of the area under the curve for Ret He of 0.913 (P < 0.0001). With a Ret He cutoff level of 27.2 pg, iron deficiency could be diagnosed with a sensitivity of 93.3%, and a specificity of 83.2%. Ret He is a reliable marker of cellular hemoglobin content and can be used to identify the presence of iron-deficient states

    Early 20th century Southern Hemisphere cooling

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    Global surface air temperature increased by ca. 0.5 °C from the 1900s to the mid-1940s, also known as Early 20th Century Warming (ETCW). However, the ETCW started from a particularly cold phase, peaking in 1908–1911. The cold phase was global but more pronounced in the Southern Hemisphere than in the Northern Hemisphere and most pronounced in the Southern Ocean, raising the question of whether uncertainties in the data might play a role. Here we analyse this period based on reanalysis data and reconstructions, complemented with newly digitised ship data from 1903–1916, as well as land observations. The cooling is seen consistently in different data sets, though with some differences. Results suggest that the cooling was related to a La-Niña-like pattern in the Pacific, a cold tropical and subtropical South Atlantic, a cold extratropical South Pacific, and cool southern midlatitude land areas. The Southern Annular Mode was positive, with a strengthened Amundsen–Bellingshausen seas low, although the spread of the data products is considerable. All results point to a real climatic phenomenon as the cause of this anomaly and not a data artefact. Atmospheric model simulations are able to reproduce temperature and pressure patterns, consistent with a real and perhaps ocean-forced signal. Together with two volcanic eruptions just before and after the 1908–1911 period, the early 1900s provided a cold start into the ETCW.</p

    Evaluation of the role of carbon nanotubes on the electrical properties of poly(butylene-terephthalate) nanocomposites for industrial applications

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    In this article, innovative electrically conductive polymer nanocomposites based on poly(butylene terephthalate) (PBT) filled with carbon nanotubes (CNTs) at different concentrations, to be used in the automotive field, have been investigated. Field emission scanning electron microscopy (FESEM) analysis revealed how a good nanofiller dispersion was obtained, especially by using surface treated nanotubes and by processing these materials using a more restrictive screw configuration. Melt flow index measurements highlighted that the processability of these nanocomposites was reduced at elevated filler amounts, even if CNT surface treatment promoted a partial retention of the fluidity of the neat PBT. Thermal degradation stability was improved upon the addition of CNT, even at limited filler amounts. Differential scanning calorimetry measurements evidenced how the presence of CNT slightly increased both the crystallization temperature and the crystalline fraction of the materials. The additivation of CNTs promoted a stiffening effect at elevated CNT contents, associated to an evident embrittlement of the samples. Electrical resistivity measurements showed that the most interesting results (i.e. 2.6 101 Ocm) were obtained for nanocomposites with a total filler content of 3 wt%, processed using the more restrictive screw configuration. For these materials, it was possible to obtain a rapid surface heating through Joule effect at applied voltages of 12 V.The authors gratefully acknowledge Minlargilih Melak Amare for his collaboration in the experimental activities. The authors also acknowledge the Portuguese Foundation for Science and Technology (FCT) for project PEst-C/CTM/LA0025/2013 (LA 25—2015–2017). This research activity has been supported by Fondazione Cassa di Risparmio di Trento e Rovereto (CARITRO) within the project “Bando Caritro 2014 per progetti di ricerca scientifica finalizzati allo sviluppo di iniziative imprenditoriali.” The work was also supported by the National Interuniversitary Consortium of Materials Science and Technology (INSTM)

    Mitapivat, a pyruvate kinase activator, improves transfusion burden and reduces iron overload in β-thalassemic mice

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    Mitapivat, a pyruvate kinase activator, improves transfusion burden and reduces iron overload in β-thalassemic mice β-thalassemia (β-thal) is a genetic red cell disorder characterized by chronic hemolytic anemia due to ineffective erythropoiesis and reduced red cell survival.1-3 Chronic transfusion and intensive iron chelation are standard treatments for β-thalassemic syndromes,1 but new therapeutic options are being developed, including gene therapy4 and novel pharmacologic approaches. We have shown that mitapivat, a pyruvate kinase activator, improves anemia and ineffective erythropoiesis in Hbbth3/+ mice, a widely used model for β-thal.5 The effects of mitapivat are not limited to the erythroid compartment: mitapivat also modulates DMT1 expression, controlling iron absorption in the duodenum in Hbbth3/+ mice, with an increase of hepcidin related to the improvement in ineffective β-thalassemic erythropoiesis.5 Results from a phase II trial of mitapivat in non–transfusion-dependent β-thal patients previously demonstrated a sustained long-term increase in hemoglobin (Hb ≥1 g/dL) with improvement of hemolysis and ineffective erythropoiesis.6 Here, we asked whether mitapivat might be a potential therapeutic option also for β-thal patients under chronic transfusion regimen. In order to address this question, we exposed female Hbbth3/+ mice (3-4 months of age) to chronic transfusion with or without mitapivat (50 mg/kg twice daily [BID]). Hbbth3/+ mice were treated by oral gavage with mitapivat (50 mg/kg BID) or vehicle for 10 days, and then transfused with 400 μL washed red blood cells at 40-45% hematocrit (Hct)7 (Figure 1A). We defined Hb values ≤10.5 g/dL as the transfusion threshold, corresponding to the reduction of ~50% of post-transfusion Hb values. Normality of data was assessed with the Shapiro-Wilk test. Two-tailed unpaired Student t-test or two-way analysis of variance with Tukey’s multiple comparisons were used for data analyses. Data show values from individual mice and are presented with mean ± standard error of the mean (differences with P&lt;0.05 were considered significant). As shown in Figure 1B, mitapivat-treated β-thal mice exposed to chronic transfusion displayed a greater sustained rise in Hb from baseline compared to vehicle-treated transfused β-thal mice. This resulted in a longer interval between transfusions (13.8±1.0 days in mitapivat- treated β-thal mice vs. 10.5±1.0 days in vehicletreated β-thal mice; Figure 1C). Chronic transfusion resulted in a significant reduction of splenomegaly in both mitapivat- and vehicle-treated β-thal mice (Online Supplementary Figure 1SA) compared to untreated β-thal mice, but spleen iron accumulation was significantly lower in mitapivat-treated β-thal mice when compared to vehicle-treated β-thal mice (Figure 1D). A significant reduction of both bone marrow and spleen ineffective erythropoiesis was observed in all transfused β-thal mice (Figure 1E; Online Supplementary Figure S1B). Of note, mitapivat- treated transfused β-thal mice showed a slight increase of bone marrow erythropoiesis with a trend towards an improvement of maturation index compared to vehicle-treated transfused β-thal mice evaluated at the end of the study.5 This is most likely related to a protective effect of mitapivat on residual bone marrow and spleen erythropoiesis (Figure 1F). Indeed, plasma erythropoietin was lower in mitapivat-treated transfused β-thal mice than in vehicle-treated transfused β-thal mice (Online Supplementary Figure S1C). Since splenic macrophages contribute to both erythrophagocytosis and iron recycling, we evaluated the functional profile of spleen macrophages in the different mouse groups.8 As shown in Figure 1G, flow cytometric analysis of the surface expression of the M1 marker CD80 and the M2 marker CD206 on spleen macrophages (MΦ) revealed that mitapivat promoted a proresolving profile of splenic macrophages in transfused β-thal mice when compared to vehicle-treated transfused β-thal mice (Online Supplementary Figure S2A). This effect was still observed in non-transfused mitapivat-treated mice compared to vehicle-treated β-thal mice (Figure 1G; Online Supplementary Figure S2A). Collectively, these data support the role of mitapivat in reprograming macrophages from proinflammatory to proresolving and repairing the phenotype in β-thal mice with or without chronic transfusion.9 We then evaluated the impact of mitapivat on iron metabolism in transfused β-thal mice. Mitapivat-treated transfused β-thal mice showed lower liver iron accumulation when compared to vehicle-treated transfused β- thal mice (Figure 2A). This might be due in part to the reduction of the transfusion burden but also to the multimodal action of mitapivat, which we previously showed to modulate hepcidin indirectly by the reduction of ineffective erythropoiesis and downregulation of DMT1 expression in the duodenum.5 Indeed, in mitapivat-treated transfused β-thal, we found a significant increase in liver hepcidin/LIC ratio (Figure 2B) and a marked reduction in the percentage of serum transferrin saturation when compared to vehicle-treated transfused β-thal mice (Figure 2C). The reduced transfusion burden observed in mitapivat treated β-thal mice might favorably contribute to the general reduction of iron-overload in β-thal mice exposed to chronic transfusion. Our preclinical results in combination with clinical data from non-transfusion-de- Haematologica | 108 September 2023 2535 LETTER TO THE EDITOR A C E F G D B Continued on following page. Haematologica | 108 September 2023 2536 LETTER TO THE EDITOR pendent β-thal patients treated with mitapivat6 suggest that the increase in the length of time between transfusions with mitapivat treatment may be associated with improvement in the quality of life in patients as well as a decrease in iron-overload-related organ damage. Recent reports in transfusion-dependent β-thal patients have highlighted a correlation between ferritin levels and kidney iron accumulation assessed by magnetic resonance T2* imaging, or in sample analysis from kidney biopsies or autopsy series.10 Kidney iron overload mainly involved the tubular compartment which has been related to chronic anemia and might be reversed by iron chelation.10 In vehicle- treated transfused β-thal mice, we found tubular accumulation of iron, which was significantly reduced in mitapivat-treated transfused animals (Figure 3A). No major difference in creatinine was observed in both β-thal mouse groups exposed to chronic transfusion (Online Supplementary Figure S2B). Previous studies suggest that kidney iron accumulation promotes local oxidative stress, contributing to profibrotic signaling in addition to hypoxia.10,11 MicroRNA (miRNA) let-7b, -c, and -d have been shown to be linked to renal fibrosis throughout the transforming growth factor- β cascade (TGF-β).12 In this study, miRNA let-7b and -d were upregulated in vehicle-treated β-thal mice with or without chronic transfusion (Figure 3B; Online Supplementary Figure S2C), while mitapivat downregulated miRNA let-7b and -d in β-thal mice with or without chronic transfusion (Figure 3B; Online Supplementary Figure S2C). miRNA let-7 have been reported to reduce ATP production by deactivating pyruvate dehydrogenase kinase (PDK).13 Here, we found normalization of the amount of the active form of the TGF-β receptor in β-thal mice treated with mitapivat when compared to vehicle-treated β-thal mice with or without transfusion (Figure 3C). Previously, in β- thal mice, the activation of TGF-β receptor was reduced by chronic transfusion, hypoxia being a trigger of activation of TGF-β receptor.14 Taken together, our data indicate that mitapivat might play a pivotal role in kidney protection by reducing the transfusion burden and iron overload as well as by preserving energy cell metabolism. This might represent an added value of mitapivat as a therapeutic option for patients with β-thal taking iron chelators who develop renal toxicity or chronic kidney disease. Finally, we explored the effects of the co-administration of mitapivat and deferiprone (DFP) on β-thal mice, since iron chelation is part of the gold standard treatment of β- thal patients.1 DFP was administered to Hbbth3/+ mice treated with mitapivat in drinking water at the dosage of either 1.25 or 0.75 mg/mL15 (Online Supplementary Figure S3A). Previously, Casu et al. reported that DFP alone has no effect on hematologic parameters and red cell features in murine β-thal.15 The beneficial effects of mitapivat on murine β-thal anemia was maintained when mitapivat was co-administered with DFP at both dosages, as supported by the stable and sustained increase in Hb and the reduction in circulating erythroblasts compared to baseline values (Online Supplementary Figure S3B, C). In agreement with Matte et al.,5 we found a significant reduction in α-globin membrane precipitates in red blood cells from mitapivat DFP-treated Hbbth3/+ mice compared with vehicle-treated animals (Online Supplementary Figure S3D). Of note, DFP iron chelation efficacy represented by a change in LIC was preserved in β-thal mice treated with both DFP and mitapivat (Online Supplementary Figure S3E). In conclusion, our study shows for the first time that mitapivat improves the transfusion burden and reduces organ iron overload in β-thal mice exposed to a chronic transfusion regimen. We also observed that mitapivat might protect the kidney against profibrotic stimuli related to local iron accumulation by two different mechanisms: the reduction in transfusion requirement and the local modulation of miRNA involved in profibrotic signal- Figure 1. Mitapivat reduces transfusion burden in β-thalassemia mice exposed to chronic transfusion with associated reprogramming of splenic macrophage phenotype. (A) Experimental study design to assess the effects of mitapivat on hematologic phenotype of β-thalassemia (β-thal) mice exposed to chronic transfusion. (B) Hemoglobin (Hb) changes over time in transfused (Tr.) β-thal (Hbbth3/+) mice treated with either vehicle or mitapivat (50 mg/kg twice daily [BID]) shown as single animals (n=3 vehicle- treated mice; n=4 mitapivat-treated mice). Grey dotted line shows the transfusion threshold (10.5 g/dL). (C) Transfusion time intervals in β-thal (Hbbth3/+) mice treated with either vehicle or mitapivat (50 mg/kg BID). Data are presented as means ± standard error of the mean (SEM) (n=3 vehicle-treated mice; n=4 mitapivat-treated mice); #P&lt;0.05 compared to vehicle-treated transfused β-thal mice. (D) Iron staining (Perl’s Prussian blue is a semi-quantitative method to assess organ iron accumulation) in spleen from Hbbth3/+ mice treated with either vehicle or transfusion plus vehicle or transfusion plus mitapivat. One representative image from 3 with similar results. Left panel: quantification of iron staining in spleen. Data are mean ± SEM (n=3). *P&lt;0.05 compared with vehicle Hbbth3/+ mice and #P&lt;0.05 compared with vehicle-treated transfused Hbbth3/+ mice. (E) Flow cytometric analysis (CD44+Ter119+ and cell size markers, see also the Online Supplementary Figure S2) of bone marrow and spleen from Hbbth3/+ mice exposed to either vehicle or to chronic transfusion with and without mitapivat treatment (see also Matte et al.5). Data are mean ± SEM (n=3-4). *P&lt;0.05 compared with vehicle Hbbth3/+ mice and #P&lt;0.05 compared with vehicle-treated transfused Hbbth3/+ mice. (F) Maturation index as ratio between pop II (Baso E.) and pop IV (Ortho E.) in bone marrow and spleen from Hbbth3/+ mice treated with either vehicle or exposed to chronic transfusion with or without mitapivat, analyzed by flow cytometry. Data are mean ± SEM (n=3-4). (G) Flow cytometric quantification of M1 (CD80) and M2 (CD206) expression on spleen macrophage cell surface from wild-type (WT) or Hbbth3/+ mice exposed to either vehicle or mitapivat or to chronic transfusion with and without mitapivat treatment. Spleen macrophages (MΦ) were isolated with the GentleMACS cell dissociator (Miltenyi Biotech, Germany). MΦ were identified and gated as CD45+/F4/80+ cells. Anti-CD45 PE-Cy5.5, F4/80 PE, CD206 PerCP-Cy5.5 and CD80 were from BioLegend, USA. Data are mean ± SEM (n=3-4). MFI: mean fluorescence intensity; RBC: red blood cells. Haematologica | 108 September 2023 2537 LETTER TO THE EDITOR A B C Figure 2. Mitapivat-treated transfused β-thalassemia mice show reduced liver iron accumulation and improved iron homeostasis. (A) Left and central panels: iron staining (Perl’s Prussian blue is a semi-quantitative method to assess organ iron accumulation) in liver from wild-type (WT) and Hbbth3/+ mice treated with either vehicle or transfusion (Tr.) or transfusion plus mitapivat. One representative image from 5 with similar results. Right panel: quantification of iron staining in liver. Data are mean ± standard error of the mean (SEM) (n=5). °P&lt;0.05 compared to WT, *P&lt;0.05 compared with vehicle Hbbth3/+ mice and #P&lt;0.05 compared with vehicle-treated transfused (Tr.) Hbbth3/+ mice. (B) Liver mRNA expression normalized over liver iron concentration (LIC) as determined using the bathophenanthroline method. Data are presented as means ± SEM (n=3). #P&lt;0.05 compared with vehicletreated transfused Hbbth3/+ mice. (C) Transferrin saturation in Hbbth3/+ mice treated with either vehicle or transfusion or transfusion plus mitapivat. Transferrin saturation was calculated as the ratio between serum iron and total iron binding capacity, using the Total Iron Binding Capacity Kit (Randox Laboratories, UK) and 50 mL of serum, according to the manufacturer’s instructions. Data are presented as means ± SEM (n=3). *P&lt;0.05 compared with vehicle Hbbth3/+ mice and #P&lt;0.05 compared with vehicle-treated transfused Hbbth3/+ mice. RBC: red blood cells. Haematologica | 108 September 2023 2538 LETTER TO THE EDITOR A B C Figure 3. In transfused β-thalassemia mice, mitapivat reduces kidney iron accumulation and downregulates profibrotic kidney miRNA let-7 expression. (A) Upper panels: iron staining (Perl’s Prussian blue is a semi-quantitative method to assess organ iron accumulation) in kidney from wild-type (WT) and Hbbth3/+ mice treated with either vehicle or transfusion (Tr.) or transfusion plus mitapivat. One representative image from 3-6 with similar results. Lower panels: quantification of iron staining in kidney. Data Continued on following page. Haematologica | 108 September 2023 2539 LETTER TO THE EDITOR ing. Finally, the observed reprograming of spleen macrophages toward a proresolving phenotype might represent an added value to the known improvement of ineffective erythropoiesis induced by mitapivat in β-thal mice.5 Thus, the beneficial effects of mitapivat in β-thal mice exposed to chronic transfusion support its use as a potential new therapeutic tool in clinical management of thalassemic patients under chronic transfusion regimen. Authors Alessandro Mattè,1 Penelope A. Kosinski,2 Enrica Federti,1 Lenny Dang,2 Antonio Recchiuti,3 Roberta Russo,4 Angela Siciliano,1 Veronica Riccardi,1 Anne Janin,5 Matteo Mucci,3 Christophe Leboeuf,5 Achille Iolascon,6 Carlo Brugnara7 and Lucia De Franceschi1 1University of Verona and AOUI Verona, Verona, Italy; 2Agios Pharmaceuticals, Inc., Cambridge, MA, USA; 3Deptartment of Medical, Oral and Biotechnology Science, “G. d’Annunzio” University of Chieti, Chieti, Italy; 4Dipartmento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, Naples, Italy; 5University Diderot of Paris, Paris, France; 6CEINGE - Biotecnologie Avanzate Franco Salvatore, Naples, Italy and 7Department of Laboratory Medicine, Harvard Medical School, Boston Children's Hospital, Boston, MA, USA Correspondence: L. DE FRANCESCHI - [email protected] https://doi.org/10.3324/haematol.2022.282614 Received: December 20, 2022. Accepted: February 7, 2023. Early view: February 16, 2023. ©2023 Ferrata Storti Foundation Published under a CC BY-NC license Disclosures LDF received research funding from Agios during 2015-2022. LD and PAK are Agios employees and stockholders. All other authors have no conflicts of interest to disclose. Contributions LDF, CB, AM and AI designed and carried out research and wrote the paper. PAK, LD and CB critically revised data and wrote the paper. AM, EF, AS and VR carried out cytokine FACS analysis, immunoprecipitation assays and ELISA analysis. RB carried out molecular analysis. EF revised the paper. MM and AR carried out miRNA analysis, analyzed the data and wrote the paper. CL and AJ performed pathology analysis and analyzed data. Funding This study was supported by an Agios Pharmaceuticals, Inc. research collaborative grant to LDF. Editorial assistance was provided by Avant Healthcare, LLC and Excel Medical Affairs, Horsham, UK, supported by Agios. Data-sharing statement All the data and protocols are stored in the Nas Synology DS216se Hard Disk, located at the University of Verona, Verona, Italy and will be made available on request. Please direct requests for original data to the corresponding author. are mean ± standard error of the mean (SEM) (n=3-6). *P&lt;0.05 compared with vehicle Hbbth3/+ mice and #P&lt;0.05 compared with vehicle-treated transfused (Tr.) Hbbth3/+ mice. (B) Relative expression of miRNA let-7b and -7d in kidneys from WT or Hbbth3/+ mice exposed to either vehicle or mitapivat or to chronic transfusion with and without mitapivat treatment. Small RNA was isolated from frozen kidneys using a silica spin column-based Quick-RNA kit (Zymo Research), quantified with a UV NanoPhotometer (Implen), and reverse transcribed with the qScript microRNA cDNA Synthesis for RT-PCR (QuantaBio). For real time polymerase chain reaction (RT-PCR) analysis of let-7b and let-7d miRNA, 3 ng of cDNA were used as a template in reaction mixtures (10 mL final volume) including a PowerUp SYBR Green Master Mix (5 mL, Applied Biosystems), miRNA-specific forward and universal reverse primers (1 mL each, miRCURY assays, Qiagen), and PCR-grade water. The expression of the indicated mRNA was quantitated by the comparative ΔCt method. RNU6-1 was used as control for normalization. Data are mean ± SEM (n=3-4). *P&lt;0.05. **P&lt;0.01. ***P&lt;0.001. (C ) Phospho-tyrosine immunoprecipitation of kidneys from WT or Hbbth3/+ mice exposed to either vehicle or mitapivat or to chronic transfusion with and without mitapivat treatment, using anti-phospho-tyrosine specific antibodies (IP: PY, clone PY99 from SCBT, Santa Cruz, CA and clone 4G10 from Merck KGaA, Darmstadt, Germany), revealed with anti-TGF-β receptor (Rec) specific antibody. GAPDH in whole-cell lysate (WCL) is used as loading control. One representative gel from 4 others with similar results is presented. Blots were developed using the Luminata Forte Chemiluminescent HRP Substrate from Merck Millipore (Armstadt, Germany), and images were acquired with the Alliance Q9 Advanced imaging system (Uvitec, UK). Densitometric analysis of immunoblots is shown on the right. Data are mean ± SEM (n=4). °P&lt;0.05 compared to WT; *P&lt;0.05 compared with vehicle Hbbth3/+ mice, #P&lt;0.05 compared with vehicle-treated transfused Hbbth3/+ mice. RBC: red blood cells. References 1. Taher AT, Musallam KM, Cappellini MD. Beta-Thalassemias. N Engl J Med. 2021;384(8):727-743. 2. De Franceschi L, Bertoldi M, Matte A, et al. Oxidative stress and β-thalassemic erythroid cells behind the molecular defect. Oxid Med Cell Longev. 2013;2013:985210. 3. Rivella S. β-thalassemias: paradigmatic diseases for scientific Haematologica | 108 September 2023 2540 LETTER TO THE EDITOR discoveries and development of innovative therapies. Haematologica. 2015;100(4):418-430. 4. Locatelli F, Thompson AA, Kwiatkowski JL, et al. Betibeglogene autotemcel gene therapy for non-beta(0)/beta(0) genotype beta-Thalassemia. N Engl J Med. 2022;386(5):415-427. 5.Matte A, Federti E, Kung C, et al. The pyruvate kinase activator mitapivat reduces hemolysis and improves anemia in a betathalassemia mouse model. J Clin Invest. 2021;131(10):e144206. 6. Kuo KHM, Layton DM, Lal A, et al. Safety and efficacy of mitapivat, an oral pyruvate kinase activator, in adults with nontransfusion dependent alpha-thalassaemia or beta-thalassaemia: an open-label, multicentre, phase 2 study. Lancet. 2022;400(10351):493-501. 7. Park SY, Matte A, Jung Y, et al. Pathologic angiogenesis in the bone marrow of humanized sickle cell mice is reversed by blood transfusion. Blood. 2020;135(23):2071-2084. 8. Ramos P, Casu C, Gardenghi S, et al. Macrophages support pathological erythropoiesis in polycythemia vera and betathalassemia. Nat Med. 2013;19(4):437-445. 9. Galvan-Pena S, O'Neill LA. Metabolic reprograming in macrophage polarization. Front Immunol. 2014;5:420. 10. Demosthenous C, Vlachaki E, Apostolou C, et al. Betathalassemia: renal complications and mechanisms: a narrative review. Hematology. 2019;24(1):426-438. 11. Musallam KM, Taher AT. Mechanisms of renal disease in betathalassemia. J Am Soc Nephrol. 2012;23(8):1299-1302. 12. Hong S, Lu Y. Omega-3 fatty acid-derived resolvins and protectins in inflammation resolution and leukocyte functions: targeting novel lipid mediator pathways in mitigation of acute kidney injury. Front Immunol. 2013;4:13. 13.Ma X, Li C, Sun L, et al. Lin28/let-7 axis regulates aerobic glycolysis and cancer progression via PDK1. Nat Commun. 2014;5:5212. 14. Chou YH, Pan SY, Shao YH, et al. Methylation in pericytes after acute injury promotes chronic kidney disease. J Clin Invest. 2020;130(9):4845-4857. 15. Casu C, Aghajan M, Oikonomidou PR, et al. Combination of Tmprss6- ASO and the iron chelator deferiprone improves erythropoiesis and reduces iron overload in a mouse model of beta-thalassemia intermedia

    Oxidative damage and erythrocyte membrane transport abnormalities in thalassemias

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    Oxidative damage induced by free globin chains has been implicated in the pathogenesis of the membrane abnormalities observed in alpha and beta thalassemia. We have evaluated transport of Na+ and K+ in erythrocytes of patients with thalassemias as well as in two experimental models that use normal human red blood cells, one for alpha thalassemia (methylhydrazine treatment, alpha thalassemia like) and one for beta thalassemia (phenylhydrazine treatment, beta thalassemia like). With the exception of the Na-K pump, similar alterations in membrane transport were observed in thalassemia and thalassemia-like erythrocytes. These were: increased K-Cl cotransport, Na-Li countertransport and reduced Na-K-Cl cotransport. The Na-K pump was reduced in thalassemia-like cells, whereas it was increased in severe alpha thalassemia and in beta thalassemia cells. The increased K-Cl cotransport activity could be observed in light and dense fractions of beta-thalassemic cells. K-Cl cotransport in thalassemic and thalassemia-like erythrocytes was partially inhibited by [(dihydro-indenyl) oxy] alkanoic acid and completely abolished by dithiothreitol. Thus, oxidative damage represents an important factor in the increased activity of the K-Cl cotransport observed in thalassemias, and of the K+ loss observed in beta-thalassemia erythrocytes

    Morango.

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    How Covid-19 changed the epidemiology of febrile urinary tract infections in children in the emergency department during the first outbreak

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    Background: The first Covid-19 pandemic affected the epidemiology of several diseases. A general reduction in the emergency department (ED) accesses was observed during this period, both in adult and pediatric contexts. Methods: This retrospective study was conducted on the behalf of the Italian Society of Pediatric Nephrology (SINePe) in 17 Italian pediatric EDs in March and April 2020, comparing them with data from the same periods in 2018 and 2019. The total number of pediatric (age 0–18 years) ED visits, the number of febrile urinary tract infection (UTI) diagnoses, and clinical and laboratory parameters were retrospectively collected. Results: The total number of febrile UTI diagnoses was 339 (73 in 2020, 140 in 2019, and 126 in 2018). During the first Covid-19 pandemic, the total number of ED visits decreased by 75.1%, the total number of febrile UTI diagnoses by 45.1%, with an increase in the UTI diagnosis rate (+ 121.7%). The data collected revealed an increased rate of patients with two or more days of fever before admission (p = 0.02), a significant increase in hospitalization rate (+ 17.5%, p = 0.008) and also in values of C reactive protein (CRP) (p = 0.006). In 2020, intravenous antibiotics use was significantly higher than in 2018 and 2019 (+ 15%, p = 0.025). Urine cultures showed higher Pseudomonas aeruginosa and Enterococcus faecalis percentages and lower rates of Escherichia coli (p = 0.02). Conclusions: The first wave of the Covid-19 pandemic had an essential impact on managing febrile UTIs in the ED, causing an absolute reduction of cases referring to the ED but with higher clinical severity. Children with febrile UTI were more severely ill than the previous two years, probably due to delayed access caused by the fear of potential hospital-acquired Sars-Cov-2 infection. The possible increase in consequent kidney scarring in this population should be considered
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