5,062 research outputs found
Effect of amphetamine on the expression of the metabotropic glutamate receptor 5 in developing rat brain.
No full textRIC-HSCT for MF/SS
Full text linkAdvanced-stage mycosis fungoides and Sezary syndrome (MF/SS) have a poor prognosis. Allogeneic hematopoietic stem cell transplantation (HSCT), particularly using a reduced-intensity conditioning (RIC) regimen, is a promising treatment for advanced-stage MF/SS. We performed RIC-HSCT in nine patients with advanced MF/SS. With a median follow-up period of 954days after HSCT, the estimated 3-year overall survival was 85.7% (95% confidence interval, 33.4-97.9%) with no non-relapse mortality. Five patients relapsed after RIC-HSCT; however, in four patients whose relapse was detected only from the skin, persistent complete response was achieved in one patient, and the disease was manageable in other three patients by the tapering of immunosuppressants and donor lymphocyte infusion, suggesting that graft-versus-lymphoma effect and "down-staging" effect from advanced stage to early stage by HSCT improve the prognosis of advanced-stage MF/SS. These results suggest that RIC-HSCT is an effective treatment for advanced MF/SS
MF-SuP-pKa: multi-fidelity modeling with subgraph pooling mechanism for pKa prediction
No full textAcid-base dissociation constant (pKa) is a key physicochemical parameter in chemical science, especially in organic synthesis and drug discovery. Current methodologies for pKa prediction still suffer from limited applicability domain and lack of chemical insight. Here we present MF-SuP-pKa (Multi-Fidelity modeling with Subgraph Pooling for pKa prediction), a novel pKa prediction model that utilizes subgraph pooling, multi-fidelity learning and data augmentation. In our model, a knowledge-aware subgraph pooling strategy was designed to capture the local and global environments around the ionization sites for micro-pKa prediction. To overcome the scarcity of accurate pKa data, low-fidelity data (computational pKa) was used to fit the high-fidelity data (experimental pKa) through transfer learning. Moreover, we implemented knowledge-guided data augmentation on the pre-training data according to the consistency between acidic pKa and basic pKa. The final MF-SuP-pKa model was constructed by pre-training on the augmented ChEMBL data set and fine-tuning on the DataWarrior data set. The ablation results prove that MF-SuP-pKa gains essential benefits from subgraph pooling, multi-fidelity learning, and data augmentation. Extensive evaluation on the DataWarrior data set and three benchmark data sets shows that MF-SuP-pKa achieves superior performances to the state-of-the-art pKa prediction models while requires much less high-fidelity training data. Compared with Attentive FP, MF-SuP-pKa achieves 23.83% and 20.12% improvement in terms of mean absolute error (MAE) on the acidic and basic sets, respectively
Identifying the most efficient items from the MMSE for cognitive function assessment in older Taiwanese patients
No full textEffects of amphetamine on the AMPA-mediated synaptic activity and the expression of AMPA receptor subunit 2 of brain neurons.
No full text
Activation of metabotropic glutamate receptor 5 is associated with effect of amphetamine on brain neurons.
No full textDifferential effects of amphetamine on the expression of metabotropic glutamate receptor 5 and GluR2 subunit of AMPA receptor in cultured cortical and hippocampal neurons.
No full textPrevalence, awareness, efficiency of control, and target organ damage in Taiwanese patients with hypertension
No full text- …
