Hematopoietic stem cell transplantation and immunosuppressive therapy: implications of clonal haematopoiesis.

Aplastic anemia (AA) is a life-threatening bone marrow failure syndrome. The advent of next-generation sequencing (NGS) has shed light on the link between somatic mutations (SM) and the efficacy of immunosuppressive therapy (IST) in AA patients. However, the relationship between SM and hematopoietic stem cell transplantation (HSCT) has not been extensively explored.

Risk factors for coronary atherosclerotic heart disease in postmenopausal women: a meta-analysis.

Background: Coronary atherosclerotic heart disease (coronary heart disease; CHD) is the leading cause of death in women worldwide, and the number of patients and deaths is increasing each year. Approximately 3.8 million women die from CHD every year globally.

Machine learning based models for predicting presentation delay risk among gastric cancer patients.

Objective: Presentation delay of cancer patients prevents the patient from timely diagnosis and treatment leading to poor prognosis. Predicting the risk of presentation delay is crucial to improve the treatment outcomes. This study aimed to develop and validate prediction models of presentation delay risk in gastric cancer patients by using various machine learning models.

Insights into Chemical and Structural Order at Planar Defects in PbMgWO Using Multislice Electron Ptychography.

Switchable order parameters in ferroic materials are essential for functional electronic devices, yet disruptions of the ordering can take the form of planar boundaries or defects that exhibit distinct properties from the bulk, such as electrical (polar) or magnetic (spin) response. Characterizing the structure of these boundaries is challenging due to their confined size and three-dimensional (3D) nature. Here, a chemical antiphase boundary in the highly ordered double perovskite PbMgWO is investigated using multislice electron ptychography.

Cross-sectional study of proteomic differences between moderate and severe psoriasis.

Although an ongoing understanding of psoriasis vulgaris (PV) pathogenesis, little is known about the proteomic differences between moderate and severe psoriasis. In this cross-sectional study, we evaluated the proteomic differences between moderate and severe psoriasis using data-independent acquisition mass spectrometry (DIA-MS). 173 differentially expressed proteins (DEPs) were significantly differentially expressed between the two groups.