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Article ; Online: Current status of immunotherapy in acute myeloid leukemia

Li Wenrui

E3S Web of Conferences, Vol 271, p

2021 Volume 03025

Abstract: Acute myeloid leukemia (AML) is a rapidly progressive, poor prognosis malignant tumor caused by hematopoietic stem cells/progenitor cells. In recent years, there have been significant advances in basic and preclinical research on AML. Compared with ... ...

Abstract	Acute myeloid leukemia (AML) is a rapidly progressive, poor prognosis malignant tumor caused by hematopoietic stem cells/progenitor cells. In recent years, there have been significant advances in basic and preclinical research on AML. Compared with traditional chemotherapy, hematopoietic stem cell transplantation (HSCT) significantly improved prognosis. However, with high recurrence rates and low 5-year survival rates, more and more attention has been focused on immunotherapy strategies for AML. Given the immunological characteristics of AML and the mechanisms of immune escape, ongoing efforts are aimed at improving the strategy of immunotherapy and the design of novel therapies, such as vaccines, monoclonal antibodies, chimeric receptor-engineered T cells (CAR-T), and checkpoint inhibitors, which hopefully can deliver higher specificity and efficacy in AML therapy. In this review, we provide an overview of the immunological characteristics of conventional AML therapies, explore immune avoidance mechanisms, and describe the mechanisms of active and passive immunotherapies and current clinical trials.
Keywords	Environmental sciences ; GE1-350
Subject code	610
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Generation of a TAB2 knockout hESC line (WAe009-A-Z) derived from H9 using CRISPR/Cas9

Wenrui Sun / Xiaowei Li / Jianzeng Dong / Yangfan Zhou

Stem Cell Research, Vol 74, Iss , Pp 103284- (2024)

2024

Abstract: TGF-β-activated kinase 1 binding protein 2 (TAB2) is an intermediate protein that connects TNFR1 and other receptor signals to the TGF-β-activated kinase 1 (TAK1) signaling complex. TAB2 has been proved clinically relevant to congenital heart defects ( ... ...

Abstract	TGF-β-activated kinase 1 binding protein 2 (TAB2) is an intermediate protein that connects TNFR1 and other receptor signals to the TGF-β-activated kinase 1 (TAK1) signaling complex. TAB2 has been proved clinically relevant to congenital heart defects (CHD) and cardiomyopathy. In this study, we created a TAB2 knockout human embryonic stem cell line by CRISPR/Cas9 technology. The WAe009-A-Z cell line displayed stem cell morphology, pluripotency and normal karyotype, which could develop into three germ layers in vitro.
Keywords	TAB2 ; CRISPR/Cas9 ; Gene knockout ; Biology (General) ; QH301-705.5
Language	English
Publishing date	2024-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Ultrahigh-acetone-sensitivity sensor based on Pt-loaded TiO

Ke, Zhang / Hang, Wei / Yunsheng, Li / Wenrui, Zhang / PengDang, Zhu / Ruiyu, Zhang

Nanotechnology

2023 Volume 35, Issue 4

Abstract: A simple hydrothermal method based on an orthogonal experimental design was used to synthesis Pt-loaded ... ...

Abstract	A simple hydrothermal method based on an orthogonal experimental design was used to synthesis Pt-loaded TiO
Language	English
Publishing date	2023-11-09
Publishing country	England
Document type	Journal Article
ZDB-ID	1362365-5
ISSN	1361-6528 ; 0957-4484
ISSN (online)	1361-6528
ISSN	0957-4484
DOI	10.1088/1361-6528/ad0603
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Morphological Changes and Strong Cytotoxicity in

Chang, Yufei / Wang, Zhen / Li, Hequn / Dang, Wenrui / Song, Yuanda / Kang, Xinxin / Zhang, Huaiyuan

Journal of fungi (Basel, Switzerland)

2024 Volume 10, Issue 2

Abstract: In this study, delta-12 desaturase was overexpressed ... ...

Abstract	In this study, delta-12 desaturase was overexpressed in
Language	English
Publishing date	2024-02-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2784229-0
ISSN	2309-608X ; 2309-608X
ISSN (online)	2309-608X
ISSN	2309-608X
DOI	10.3390/jof10020126
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Article ; Online: The Role of Reduced Graphene Oxide in Enhancing the Mechanical and Thermal Properties of a Rubber Cover Joint.

Zhang, Hongyu / Li, Junxia / Fan, Wenrui

Polymers

2024 Volume 16, Issue 8

Abstract: The development of high-performance rubber composites has always been a research hotspot in the field of conveyor belt manufacturing. In this work, a rubber cover joint composite made of reduced graphene oxide (rGO) was prepared using latex mixing and ... ...

Abstract	The development of high-performance rubber composites has always been a research hotspot in the field of conveyor belt manufacturing. In this work, a rubber cover joint composite made of reduced graphene oxide (rGO) was prepared using latex mixing and mechanical blending methods, with a steel wire rope conveyor belt as the research object, and the influence of the rGO content on the properties of the rubber composite is discussed. The structure and morphology characterization of the rGO/NR rubber show that the addition of rGO does not change its crystal structure, and 1.2 phr rGO is uniformly dispersed throughout the rubber composite. As more rGO is added, the mechanical properties of the rGO rubber cover joint first improve and then worsen. With the addition of 1.2 phr, the cross-linking density increases by 80.6%, the tensile strength of the rubber composites increases by 49.7%, the elongation at break increases by 23.6%, and the adhesion strength increases by 12.4%. The tensile strength of the rGO rubber cover joint can still maintain 72.5% of its pre-thermal aging value. The wear resistance and thermal conductivity increase as more phr is added. When 3.0 phr is added, the wear resistance of the rubber composites increases by 32.9%, the thermal conductivity increases by 118.8%, and the temperature difference at the completion of vulcanization decreases from 4.5 °C to 1.8 °C. The results show that when 1.2 phr of rGO is added, the rubber conveyor belt joint obtains the best comprehensive performance. These enhanced comprehensive properties allow for the practical application of rGO nanomaterials to conveyor belt rubber.
Language	English
Publishing date	2024-04-18
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527146-5
ISSN	2073-4360 ; 2073-4360
ISSN (online)	2073-4360
ISSN	2073-4360
DOI	10.3390/polym16081143
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Article ; Online: Research on the sustainability of "greening" process in the Mu Us Sandy Land based on the spatiotemporal stability of ecological land.

Zhang, Qiumeng / Jia, Baoquan / Li, Tong / Li, Wenrui

PloS one

2024 Volume 19, Issue 2, Page(s) e0292469

Abstract: In environmentally sensitive areas, especially the arid and semi-arid regions, the greening stability process and its influencing factors can directly affect the sustainable development of the ecological environment. In this study, multi-source remote ... ...

Abstract	In environmentally sensitive areas, especially the arid and semi-arid regions, the greening stability process and its influencing factors can directly affect the sustainable development of the ecological environment. In this study, multi-source remote sensing data such as land use/cover data, MODIS NDVI, and soil moisture, methods such as stability index, vegetation quantitative remote sensing, and Geodetector were employed to analyze the sustainability of the greening process in the Mu Us Sandy in 2000-2020, which were viewed from three aspects: changes in stability of land use types and function, soil moisture change and influencing factors on greening stability. The results showed that, (1) From the stability of land use types, continuous stable ecological land accounted for more than 50%, showing that decreased from northwest toward southeast. (2) From the functional stability, NDVI showed a fluctuated growth (0.035/a), with an increasing distribution pattern from northwest to southeast. Additionally, Vegetation changes were unstable and concentrated in the western part of the study area (OtogBanner and Otog Front Banner), while the eastern part was stable, in which vegetation improvement took the main position. Moreover, mobile dunes almost disappeared, and semi-fixed dunes decreased and gradually shrank to the west of the sandy area, while fixed dunes soared and were concentrated in the middle of the sandy land. (3) From the soil moisture change, soil moisture at different underground depths showed an overall increasing trend, but the deep soil moisture was higher than the shallow, and spatial distribution varied greatly. (4) From the influencing factors, natural factors significantly influence greening stability, among which precipitation had a particularly profound impact, and interactions with other natural and social factors were higher explanatory. The paper aims to explore whether the ecological environment is developing in a good and orderly direction in the Mu Us Sandy Land, and the potential factors that cause its changes, to provide a theoretical basis for scientific governance in the Mu Us Sandy Land and other arid and semi-arid areas in the future.
MeSH term(s)	Sand ; Soil ; Desert Climate ; Sustainable Development ; China ; Ecosystem
Chemical Substances	Sand ; Soil
Language	English
Publishing date	2024-02-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0292469
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Article ; Online: Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data.

Li, Wenrui / Chang, Changgee / Kundu, Suprateek / Long, Qi

Biometrics

2024 Volume 80, Issue 1

Abstract: There is a growing body of literature on knowledge-guided statistical learning methods for analysis of structured high-dimensional data (such as genomic and transcriptomic data) that can incorporate knowledge of underlying networks derived from ... ...

Abstract	There is a growing body of literature on knowledge-guided statistical learning methods for analysis of structured high-dimensional data (such as genomic and transcriptomic data) that can incorporate knowledge of underlying networks derived from functional genomics and functional proteomics. These methods have been shown to improve variable selection and prediction accuracy and yield more interpretable results. However, these methods typically use graphs extracted from existing databases or rely on subject matter expertise, which are known to be incomplete and may contain false edges. To address this gap, we propose a graph-guided Bayesian modeling framework to account for network noise in regression models involving structured high-dimensional predictors. Specifically, we use 2 sources of network information, including the noisy graph extracted from existing databases and the estimated graph from observed predictors in the dataset at hand, to inform the model for the true underlying network via a latent scale modeling framework. This model is coupled with the Bayesian regression model with structured high-dimensional predictors involving an adaptive structured shrinkage prior. We develop an efficient Markov chain Monte Carlo algorithm for posterior sampling. We demonstrate the advantages of our method over existing methods in simulations, and through analyses of a genomics dataset and another proteomics dataset for Alzheimer's disease.
MeSH term(s)	Humans ; Bayes Theorem ; Genomics ; Algorithms ; Alzheimer Disease/genetics ; Databases, Factual
Language	English
Publishing date	2024-03-14
Publishing country	England
Document type	Journal Article
ZDB-ID	213543-7
ISSN	1541-0420 ; 0099-4987 ; 0006-341X
ISSN (online)	1541-0420
ISSN	0099-4987 ; 0006-341X
DOI	10.1093/biomtc/ujae012
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Article ; Online: Robust Federated Learning: Maximum Correntropy Aggregation Against Byzantine Attacks.

Luan, Zhirong / Li, Wenrui / Liu, Meiqin / Chen, Badong

IEEE transactions on neural networks and learning systems

2024 Volume PP

Abstract: As an emerging decentralized machine learning technique, federated learning organizes collaborative training and preserves the privacy and security of participants. However, untrustworthy devices, typically Byzantine attackers, pose a significant ... ...

Abstract	As an emerging decentralized machine learning technique, federated learning organizes collaborative training and preserves the privacy and security of participants. However, untrustworthy devices, typically Byzantine attackers, pose a significant challenge to federated learning since they can upload malicious parameters to corrupt the global model. To defend against such attacks, we propose a novel robust aggregation method-maximum correntropy aggregation (MCA), which applies the maximum correntropy criterion (MCC) to derive a central value from parameters. Different from the previous use of MCC for denoising, we utilize it as a similarity metric to measure parameter distribution and aggregate a robust center. Correntropy in MCC, with all even-order moments of the parameter, contains high-order statistical properties, which allows for a comprehensive capture of parameter characteristics, thus helping to prevent interference from attackers. Meanwhile, correntropy extracts information from the parameters themselves, without requiring the proportion of malicious attackers. Through the fixed-point iteration, we solve the optimization objective, demonstrating the linear convergence of the iteration formula. Theoretical analysis reveals the robustness aggregation property of MCA and the error bound between MCA and the global optimal solution, with linear convergence to the optimal solution neighborhood. By performing independent identically distribution (IID) and non-IID experiments on three different datasets, we show that MCA exhibits significant robustness under mainstream attacks, whereas other methods cannot withstand all of them.
Language	English
Publishing date	2024-04-23
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2024.3383294
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Article ; Online: Enhanced gaseous acetone adsorption on montmorillonite by ball milling generated Si-OH and interlayer under synergistic modification with H

Sun, Wenrui / Zhang, Tingting / Li, Jie / Zhu, Xiaobiao

Chemosphere

2023 Volume 321, Page(s) 138114

Abstract: Montmorillonite (Mt) is a potential adsorbent for volatile organic vapor removal from contaminated soils because of its rich reserves and porous nature, but its inertia surface property has limited its application for polar compounds. In this study, ... ...

Abstract	Montmorillonite (Mt) is a potential adsorbent for volatile organic vapor removal from contaminated soils because of its rich reserves and porous nature, but its inertia surface property has limited its application for polar compounds. In this study, modifications of Mt were carried out by high energy ball milling with H
MeSH term(s)	Bentonite/chemistry ; Gases ; Acetone ; Hydrogen Peroxide ; Adsorption
Chemical Substances	Bentonite (1302-78-9) ; Gases ; tetramethylammonium (H0W55235FC) ; Acetone (1364PS73AF) ; silanol (079V3J9O3X) ; Hydrogen Peroxide (BBX060AN9V)
Language	English
Publishing date	2023-02-09
Publishing country	England
Document type	Journal Article
ZDB-ID	120089-6
ISSN	1879-1298 ; 0045-6535 ; 0366-7111
ISSN (online)	1879-1298
ISSN	0045-6535 ; 0366-7111
DOI	10.1016/j.chemosphere.2023.138114
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Article ; Online: Scenario Simulation of Urban Land Use and Ecosystem Service Coupling Major Function-Oriented Zoning

Tong Li / Baoquan Jia / Qiumeng Zhang / Wenrui Liu / Youxin Fang

Ecosystem Health and Sustainability, Vol

2024 Volume 10

Abstract: Simulations of land use/land cover (LULC) and ecosystem services (ES), which integrate national land policies, reflect the development of land and ecological functions under different scenarios and are crucial for accurately predicting and optimizing ... ...

Abstract	Simulations of land use/land cover (LULC) and ecosystem services (ES), which integrate national land policies, reflect the development of land and ecological functions under different scenarios and are crucial for accurately predicting and optimizing urban ecosystem sustainable development. To effectively characterize the urban development trend that complies with urban land policies and spatial differences, we combined major function-oriented zoning (MFOZ) and simulated LULC and ES [including water yield (WY), soil retention (SR), carbon storage (CS), and habitat quality (HQ)] within Beijing–Tianjin–Hebei (BTH) urban agglomeration under multiple scenarios. Based on the improved gray multi-objective optimization (IGMOP) model, the patch-generating land simulation (PLUS) model, and the integrated evaluation of ecosystem services and trade-offs (InVEST) model, three scenarios were designed: business as usual (BAU), economic development (ED), and ecological conservation (EC) scenarios. Results demonstrated higher accuracy with the LULC simulation coupling MFOZ. Under BAU, ED, and EC scenarios, the ecological land (EL) area was 924.99 × 104, 904.45 × 104, and 953.59 × 104 hm2, respectively. Compared to 2020, it increased by 0.77% and 1.95% under BAU and EC scenarios and decreased by 0.08% under ED scenario. The LULC changes under different scenarios influenced ES changes. Trade-offs occurred between WY&SR and CS&HQ under BAU and ED scenarios (WY&SR increased, CS&HQ decreased), while different ES types synergistically increased under EC scenario. Impervious surfaces and vegetation positively affected WY&SR, while forestland and impervious surfaces positively and negatively affected CS&HQ, respectively. The simulation coupling MFOZ may provide new insights for exploring more accurate ecological patterns, identifying potential sustainable spaces, and determining priority projects.
Keywords	Ecology ; QH540-549.5
Subject code	710
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	American Association for the Advancement of Science (AAAS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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