No abstract

No abstract

Stem cell factor (SCF) is a cytokine found in hematopoietic stem cells (HSCs) and causes proliferation and differentiation of cells by binding to its receptor (c-kit). It is produced in the yolk sac, fetal liver and bone marrow during the development of the fetus and, together with its signaling pathway, plays an important role in the development of these cells. The placenta, an important hematopoiesis site before the entry of cells into the liver, is rich in HSCs, with definitive hematopoiesis in a variety of HSC types and embryonic stem cells. Chorionic-plate-derived mesenchymal stem cells (CP-MSCs) isolated from the placenta show stem cell markers such as CD41 and cause the self-renewal of cells under hypoxic conditions. In contrast, hypoxia can result in apoptosis and autophagy via oxidative stress in stem cells. As a hypoxia-induced factor, SCF causes a balance between cell survival and death by autophagy in CP-MSCs. Stromal cells and MSCs have a crucial function in the development of HSCs in the placenta via SCF expression in the placental vascular niche. Defects in hematopoietic growth factors (such as SCF and its signaling pathways) lead to impaired hematopoiesis, resulting in fetal death and abortion. Therefore, an awareness of the role of the SCF/c-kit pathway in the survival, apoptosis and development of stem cells can significantly contribute to the exploration of stem cell production pathways during the embryonic period and in malignancies and in the further generation of these cells to facilitate therapeutic approaches. In this review, we discuss the role of SCF in the placental niche.

No abstract

No abstract

Several discrimination indices have been proposed to distinct between β‐thalassemia trait (βTT) and iron deficiency anemia (IDA). This study is the first application of tree‐based methods for differential diagnosis of βTT from IDA. One hundred forty‐four patients with hypochromic microcytic anemia aged 18–40 years old from Ayat Hospital of Tehran were recruited. Classification and Regression tree, CHi‐squared Automatic Interaction Detector (CHAID), Exhaustive CHi‐squared Automatic Interaction Detector (E‐CHAID), Quick, Unbiased, Efficient Statistical Tree (QUEST), Classification Rule with Unbiased Interaction Selection and Estimation (CRUISE), and Generalized, Unbiased, Interaction Detection and Estimation (GUIDE) have been used to discriminate the diagnosis. Mean corpuscular volume (MCV) was found as the main predictor in discrimination. All the mentioned tree‐based methods showed acceptable sensitivity, specificity, accuracy, Youden's index, false positive and negative rate, positive and negative predictive values and AUC in differential diagnosis of βTT from IDA. However, Classification Rule with Unbiased Interaction Selection and Estimation revealed more precise classification with an area under the curve value of 0.99. Decision‐tree‐based methods can be used to develop sensitive and accurate diagnostic methods for differentiating βTT from IDA.

In this review, we have evaluated the role of polymorphisms involved in platelet activation and development of ischemia.

The presence of these abnormalities can cause genetic instability in BM and result in the development of a malignant clone and progression of the disease. In addition, the evaluation of SCL together with the genes involved in these chromosomes can contribute to predict the disease prognosis as well as monitoring of malignancy.