A nomogram model for predicting the efficacy of cyclosporine in patients with pure red cell aplasia.

Pure red cell aplasia (PRCA) is a rare bone marrow disorder characterized by a severe reduction or absence of erythroid precursor cells, without affecting granulocytes and megakaryocytes. Immunosuppressive therapies, particularly cyclosporine, have demonstrated efficacy as a primary treatment. This study aims to develop a predictive model for assessing the efficacy of cyclosporine in acquired PRCA (aPRCA). This retrospective study encompasses newly treated aPRCA patients at the General Hospital of Tianjin Medical University. Diagnosis criteria include severe anemia, and absolute reticulocyte count below 10 × 109/L, with normal white blood cell and platelet counts, and a severe reduction in bone marrow erythroblasts. Cyclosporine therapy was administered, with dose adjustments based on blood concentration. Response to cyclosporine was evaluated according to established criteria. Statistical analysis involved logistic multi-factor regression, generating a predictive model. The study included 112 aPRCA patients with a median age of 63.5 years. Patients presented with severe anemia (median Hb, 56 g/L) and reduced reticulocyte levels. Eighty-six patients had no bone marrow nucleated erythroblasts. Primary PRCA accounted for 62 cases (55.4%), and secondary PRCA accounted for 50 cases (44.6%). Univariate analysis revealed that ferritin, platelet to lymphocyte ratio (PLR), and CD4/CD8 ratio influenced treatment response. Multivariate analysis further supported the predictive value of these factors. A prediction model was constructed using ferritin, PLR, and CD4/CD8 ratio, demonstrating high sensitivity and specificity. The ferritin, PLR, and CD4/CD8-based nomogram showed good predictive ability for aPRCA response to cyclosporine. This model has potential clinical value for individualized diagnosis and treatment of aPRCA patients.

EMT Transcription Factors Are Involved in the Altered Cell Adhesion under Simulated Microgravity Effect or Overloading by Regulation of E-cadherin.

In order to study the effect of stress changes on cell adhesion, HUVEC, and MCF-7 cells were treated with simulated microgravity effect (SMG) and overloading (OL). METHODS: Rotating Wall Vessel (2D-RWVS) bioreactor was used to create different culture conditions. In addition, the alteration of cell adhesion states, adhesion proteins, and relating factors of adhesion molecules under these two conditions were detected using cell adhesion assay, immunofluorescence, western blot, and qRT-PCR technology. RESULTS: The results showed that the adhesion of cells decreased under SMG, while increased under OL. The expressions of integrin ß1, paxillin, and E-cadherin under SMG condition were down-regulated as compared to that of the control group showing a time-dependent pattern of the decreasing. However, under OL condition, the expressions of adhesion proteins were up-regulated as compared to that of the control group, with a time-dependent pattern of increasing. EMT transcription factors Snail, twist, and ZEB1 were up-regulated under SMG while down-regulated under OL. CONCLUSION: Collectively our results indicated that cells could respond to stress changes to regulate the expressions of adhesion proteins and adapt their adhesion state to the altered mechanical environment. The altered cell adhesion in response to the mechanical stress may involve the changed expression of EMT-inducing factors, Snail, Twist, and ZEB1under the SMG/OL conditions.

Lymphocyte Activation Gene 3 Single-Nucleotide Polymorphisms in Bone Marrow Failure Diseases.

Introduction: Lymphocyte activation gene 3 (LAG3) is an inhibitory checkpoint protein expressed on activated T effector, T regulatory, and natural killer cells. The main function of LAG3 is the regulation of immune homeostasis. Several studies have suggested its role in malignant and autoimmune diseases. The objective of this study was to explore the association between LAG3 single-nucleotide polymorphisms (SNPs) and bone marrow failure diseases. Methods: Sixty-two patients newly diagnosed with bone marrow failure diseases in the Hematology Department of Tianjin Medical University General Hospital between January 2019 and December 2020 and 16 healthy controls were enrolled in this study. SNPs in LAG3 were investigated by performing Sanger sequencing, and the association of the detected SNPs with bone marrow failure diseases was analyzed. Results: Eleven SNPs were identified. Among them, the frequency of LAG3 rs1941928301 (C>T) was statistically different among the groups (P = 0.013). It was higher in the myelodysplastic syndrome (MDS) group than that in the severe aplastic anemia (SAA) group (P = 0.004) and that in the healthy control group (P = 0.009). Conclusions: LAG3 rs1941928301 (C>T) might be associated with a higher risk of MDS. The detected LAG3 SNPs have no apparent effect on susceptibility to SAA and immune-related pancytopenia (IRP).

Transforming growth factor 15 increased in severe aplastic anemia patients.

OBJECTIVES: The patients with severe aplastic anemia (SAA) usually rely on red cell transfusion which lead to secondary iron overload. Transforming growth differentiation factor-15 (GDF-15) plays an important role in erythropoiesis and iron regulation. In this study, we investigated the level of GDF-15 and other indexes of iron metabolism in SAA patients to explore the correlation with GDF-15 and iron overload in SAA. METHODS: The levels of serum GDF-15, hepcidin (Hepc), and erythropoietin (EPO) were determined by ELISA. The levels of serum iron (SI), ferritin, TIBC, and transferrin saturation (TS) were measured by an auto analyzer. Iron staining of bone marrow cells was used for testing extracellular and intracellular iron. RESULTS: The GDF-15 level in the experimental group was higher than that of the case-control group and normal control group (all p < 0.05). The Hepc level in the experimental group and case-control group were both higher than that of healthy controls (all p < 0.05). The Hepc level was significantly lower in the experimental group patients who had excessive GDF-15 (r = -0.766, p = 0.000). There was a positive correlation between the level of GDF15 and EPO in the experimental group (r = 0.68, p < 0.000). The level of GDF15 in SAA patients was positively correlated with SI levels (r = 0.537, p = 0.008), TS levels (r = 0.466, p = 0.025), and sideroblasts (%) (r = 0.463, p = 0.026). Moreover, there was a positive correlation between GDF-15 level and blood transfusion-dependent time (r = 0.739, p = 0.000). DISCUSSION: Our data indicated that GDF-15 plays an important role in iron metabolism in SAA. GDF-15 might be a novel target for SAA therapy.