Publications by authors named "Ning LE"

The prognosis of patients with high-risk acute myeloid leukemia (AML) is dismal even after allogeneic stem cell transplantation (allo-HSCT), with relapse remaining the leading cause of treatment failure. Here, we investigated whether ruxolitinib and decitabine plus modified busulfan-cyclophosphamide (mBu/Cy) conditioning could reduce relapse in high-risk AML after allo-HSCT. This prospective, single-arm, phase II trial enrolled 37 patients who received allo-HSCT between September 2020 and March 2022 at the First Medical Center of Chinese People's Liberation Army (PLA) General Hospital.

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Objective: To investigate the relationship between gene expression and prognosis in patients with acute myeloid leukemia (AML).

Methods: High throughput transcriptome sequencing was performed on bone marrow primary leukemia cells from 27 patients with AML in our center, the relationship between expression levels and clinical characteristics were analyzed and verify the samples from patients with newly treated AML and refractory AML. The expression level of gene were analyzed in 20 healthy subjects and 26 patients with AML.

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Objective: To investigate the efficacy and safety of Venetoclax combined with CACAG regimen in treatment of patients with refractory/relapse acute myeloid leukemia(R/R AML).

Methods: The study was a singlecenter prospective clinical trial. The enrolled patients met the criteria for R/R AML.

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Background: Acute myeloid leukemia (AML) is a heterogeneous hematopoietic malignancy. Patient prognosis cannot be accurately assessed in National Comprehensive Cancer Network (NCCN) risk stratification subgroups based on the current criteria. This study aimed to develop a novel prognostic score model for the quantitative prediction of prognosis in AML.

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Sepsis, caused by the inappropriate host response to infection, is characterized by excessive inflammatory response and organ dysfunction, thus becomes a critical clinical problem. Commonly, sepsis may progress to septic shock and severe complications, including acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), sepsis-induced myocardial dysfunction (SIMD), liver dysfunction, cerebral dysfunction, and skeletal muscle atrophy, which predominantly contribute to high mortality. Additionally, the global pandemic of coronavirus disease 2019 (COVID-19) raised the concern of development of effectve therapeutic strategies for viral sepsis.

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Spinal cord injury (SCI) leads to reactive inflammation and other harmful events that limit spinal cord regeneration. We propose an approach for studying the mechanisms at the levels of network topology, gene ontology, signaling pathways, and disease inference. We treated inflammatory mediators as toxic chemicals and retrieved the genes and interacting proteins associated with them via a set of biological medical databases and software.

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Spinal cord injury (SCI) followed by extensive cell loss, inflammation, and scarring, often permanently damages neurological function. Biomaterial scaffolds are promising but currently have limited applicability in SCI because after entering the scaffold, regenerating axons tend to become trapped and rarelyre-enter the host tissue, the reasons for which remain to be completely explored. Here, we propose a mathematical model and computer simulation for characterizing regenerative axons growing along a scaffold following SCI, and how their growth may be guided.

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