Xiuli Wang
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View article: Synthesis, Anti-Tumour, and Antibacterial Activities of Monocarbonyl Curcumin Analogues of Piperidones
Synthesis, Anti-Tumour, and Antibacterial Activities of Monocarbonyl Curcumin Analogues of Piperidones Open
Curcumin has anti-tumour and antibacterial effects. In this research, fourteen kinds of piperidone monocarbonyl curcumin analogues with 3,5-dimethylene-4-piperidone as the parent scaffold and halogen substitution on both sides of the benze…
View article: <i>Lonicera caerulea</i> Berry Polyphenols Regulate Cholesterol Metabolism in Rats With Type 2 Diabetes by Activating SIRT1 Expression in Macrophages and Reducing Foaming
<i>Lonicera caerulea</i> Berry Polyphenols Regulate Cholesterol Metabolism in Rats With Type 2 Diabetes by Activating SIRT1 Expression in Macrophages and Reducing Foaming Open
Lonicera caerulea berry polyphenols (LCBP) exhibit multiple physiological effects. In this study, we investigated the role of LCBP in reducing cholesterol accumulation in rats with type 2 diabetes mellitus (T2DM) and its underlying mechani…
View article: Bispecific BAFF-R/BCMA CAR T cells control growth of heterogeneous plasma cells in multiple myeloma
Bispecific BAFF-R/BCMA CAR T cells control growth of heterogeneous plasma cells in multiple myeloma Open
Multiple Myeloma treatment has experienced tremendous advances through chimeric antigen receptor (CAR) therapies directed to the B cell maturation antigen (BCMA), but remissions are usually transient. To mitigate the risk of BCMA immune es…
View article: Novel CTLA-4 costimulatory domain mitigates cytokine-related toxicity, improving the anti-cancer therapeutic index of CS1-CAR T cells for multiple myeloma
Novel CTLA-4 costimulatory domain mitigates cytokine-related toxicity, improving the anti-cancer therapeutic index of CS1-CAR T cells for multiple myeloma Open
Multiple myeloma (MM) is a prevalent hematological malignancy in the United States, with approximately 34,000 new cases reported annually. Chimeric antigen receptor (CAR) T cell therapy has demonstrated remarkable response rates and sustai…
View article: CD19-CAR T cell therapy as a definitive consolidation in older adults with b-ALL in CR1 is safe and induces durable MRD- remission
CD19-CAR T cell therapy as a definitive consolidation in older adults with b-ALL in CR1 is safe and induces durable MRD- remission Open
Introduction: Older adults with B-cell acute lymphoblastic leukemia (B-ALL) have dismal outcomes due to adverse-risk disease biology and poor tolerability of curative therapy. Low disease burden pre-lymphodepletion (LD) prior to chimeric a…
View article: Immunometabolic determinants of long-term response in leukemia patients receiving CD19 CAR T cell therapy
Immunometabolic determinants of long-term response in leukemia patients receiving CD19 CAR T cell therapy Open
Although most patients with relapsed/refractory B-cell acute lymphoblastic leukemia (B-ALL) receiving CD19-targeted chimeric antigen receptor (CAR) T cell therapy achieve remission, loss of CAR T cell functionality and subsequent relapse r…
View article: Characteristics and controlling factors of the Triassic Xu5 tight sandstone reservoirs, Western Sichuan depression, China
Characteristics and controlling factors of the Triassic Xu5 tight sandstone reservoirs, Western Sichuan depression, China Open
The fifth member of the Xujiahe Formation in the West Sichuan depression of the Sichuan Basin has developed high-quality source rocks and large-scale delta distributary channel sediments, which have good potential for hydrocarbon accumulat…
View article: A Grid-Based Scenario Delineation Method for Distribution Networks Based on Fuzzy Comprehensive Evaluation and SNN-DPC Clustering
A Grid-Based Scenario Delineation Method for Distribution Networks Based on Fuzzy Comprehensive Evaluation and SNN-DPC Clustering Open
Aiming at the problems that the random probability characteristics of large-scale source and load resources lead to the ineffectiveness of deterministic planning methods, the standard grid structure is difficult to adapt to the demands of …
View article: An efficient framework for computing sensitivity of modal-related structural dynamic characteristics with multi-parameters
An efficient framework for computing sensitivity of modal-related structural dynamic characteristics with multi-parameters Open
The sensitivity of structural dynamic characteristics related to eigenmode (such as modal assurance criteria, modal flexibility, and modal mass etc.) has become a crucial and widely applied tool across various engineering fields. In this p…
View article: Universal off-the-shelf combination immunotherapy using oncolytic viruses to redirect T cell engagers to target solid tumors
Universal off-the-shelf combination immunotherapy using oncolytic viruses to redirect T cell engagers to target solid tumors Open
Background Bispecific T cell engager (BiTE), such as blinatumomab, has demonstrated significant clinical success in treating hematological malignancies like B cell acute lymphoblastic leukemia and non-Hodgkin's lymphoma. However, the appli…
View article: Supplementary Figure S.1 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.1 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.1
View article: Supplementary Figure S.4 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.4 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.4
View article: Supplementary Figure S.30 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.30 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.30
View article: Supplementary Figure S.20 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.20 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.20
View article: Supplementary Figure S.19 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.19 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.19
View article: Supplementary Figure S.15 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.15 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.15
View article: Supplementary Figure S.26 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.26 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.26
View article: Supplementary Figure S.23 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.23 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.23
View article: Supplementary Figure S.21 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.21 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.21
View article: Supplementary Figure S.13 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.13 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.13
View article: Supplementary Figure S.12 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.12 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.12
View article: Supplementary Figure S.28 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.28 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.28
View article: Supplementary Figure S.32 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.32 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.32
View article: Supplementary Figure S.14 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.14 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.14
View article: Supplementary Figure S.22 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.22 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.22
View article: Supplementary Figure S.29 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.29 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.29
View article: Supplementary Figure S.5 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.5 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.5
View article: Supplementary Material from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Material from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Additional mathematical reasoning and simulation results.
View article: Supplementary Figure S.6 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.6 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.6
View article: Supplementary Figure S.2 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers
Supplementary Figure S.2 from Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers Open
Supplementary Figure S.2