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Article ; Online: Assessment of NO 2 Purification by Urban Forests Based on the i-Tree Eco Model

Cheng Gong / Chaofan Xian / Zhiyun Ouyang

Forests, Vol 13, Iss 369, p

Case Study in Beijing, China

2022 Volume 369

Abstract: Air quality issues caused by nitrogen dioxide (NO 2 ) have become increasingly serious in Chinese cities in recent years. As important urban green infrastructure, urban forests can mitigate gaseous nitrogen pollution by absorbing NO 2 through leaf gas ... ...

Abstract	Air quality issues caused by nitrogen dioxide (NO 2 ) have become increasingly serious in Chinese cities in recent years. As important urban green infrastructure, urban forests can mitigate gaseous nitrogen pollution by absorbing NO 2 through leaf gas exchange. This study investigated spatiotemporal variations in the NO 2 removal capacity of urban forests in Beijing city from 2014–2019, based on the i-Tree Eco deposition model. The results show that the annual removal capacity of administrative districts within Beijing city ranged from 14,910 to 17,747 tons, and the largest capacity (2684 tons) was found in the Fangshan district. The annual removal rate of NO 2 by urban forests in administrative districts within Beijing was estimated at between 0.50–1.60 g/m 2 , reaching the highest (1.47 g/m 2 ) in the Mengtougou district. The annual average absorption of NO 2 by urban forests can account for 0.14–2.60% of annual total atmospheric NO 2 and potentially reduce the NO 2 concentration by 0.10–0.34 µg/m 3 on average. The results of a principal component analysis suggest that the distribution of urban forests in Beijing is not optimized to maximize their NO 2 removal capacity, being higher in suburban areas and lower in urban areas. This study provides insights into botanical NO 2 removal capacity in Beijing city to mitigate atmospheric N pollution, addressing the key role of urban forests in improving human wellbeing.
Keywords	urban forests ; air pollution ; nitrogen dioxide ; i-Tree eco ; Beijing ; Plant ecology ; QK900-989
Subject code	333
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Azaindole derivatives as potential kinase inhibitors and their SARs elucidation.

Fang, Guoqing / Chen, Hongjuan / Cheng, Zhiyun / Tang, Zilong / Wan, Yichao

European journal of medicinal chemistry

2023 Volume 258, Page(s) 115621

Abstract: Currently, heterocycles have occupied an important position in the fields of drug design. Among them, azaindole moiety is regarded as one privileged scaffold to develop therapeutic agents. Since two nitrogen atoms of azaindole increase the possibility to ...

Abstract	Currently, heterocycles have occupied an important position in the fields of drug design. Among them, azaindole moiety is regarded as one privileged scaffold to develop therapeutic agents. Since two nitrogen atoms of azaindole increase the possibility to form hydrogen bonds in the adenosine triphosphate (ATP)-binding site, azaindole derivatives are important sources of kinase inhibitors. Moreover, some of them have been on the market or in clinical trials for the treatment of some kinase-related diseases (e.g., vemurafenib, pexidartinib, decernotinib). In this review, we focused on the recent development of azaindole derivatives as potential kinase inhibitors based on kinase targets, such as adaptor-associated kinase 1 (AAK1), anaplastic lymphoma kinase (ALK), AXL, cell division cycle 7 (Cdc7), cyclin-dependent kinases (CDKs), dual-specificity tyrosine (Y)-phosphorylation regulated kinase 1A (DYRK1A), fibroblast growth factor receptor 4 (FGFR4), phosphatidylinositol 3-kinase (PI3K) and proviral insertion site in moloney murine leukemia virus (PIM) kinases. Meanwhile, the structure-activity relationships (SARs) of most azaindole derivatives were also elucidated. In addition, the binding modes of some azaindoles complexed with kinases were also investigated during the SARs elucidation. This review may offer an insight for medicinal chemists to rationally design more potent kinase inhibitors bearing the azaindole scaffold.
MeSH term(s)	Mice ; Animals ; Phosphatidylinositol 3-Kinases ; Structure-Activity Relationship ; Binding Sites ; Phosphorylation ; Drug Design ; Protein Kinase Inhibitors/pharmacology ; Protein Kinase Inhibitors/chemistry
Chemical Substances	Phosphatidylinositol 3-Kinases (EC 2.7.1.-) ; Protein Kinase Inhibitors
Language	English
Publishing date	2023-07-01
Publishing country	France
Document type	Journal Article ; Review
ZDB-ID	188597-2
ISSN	1768-3254 ; 0009-4374 ; 0223-5234
ISSN (online)	1768-3254
ISSN	0009-4374 ; 0223-5234
DOI	10.1016/j.ejmech.2023.115621
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Article: Superiority of FAPI-PET/CT for examining multiple malignant tumors: a retrospective study.

Li, Wei / Jiang, Zhiyun / Cui, Nan / Li, Jiatong / Cheng, Liang / Liu, Wei / Li, Jing / Wang, Kezheng

American journal of cancer research

2023 Volume 13, Issue 10, Page(s) 4547–4559

Abstract: To compare the diagnostic value of [ ...

Abstract	To compare the diagnostic value of [
Language	English
Publishing date	2023-10-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2589522-9
ISSN	2156-6976
ISSN	2156-6976
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Article: The anti-photoaging effect of C-phycocyanin on ultraviolet B-irradiated BALB/c-nu mouse skin.

Zhou, Yali / Bai, Renao / Huang, Yifeng / Li, Weina / Chen, Jiana / Cheng, Zhiyun / Wu, Xunxun / Diao, Yong

Frontiers in bioengineering and biotechnology

2023 Volume 11, Page(s) 1229387

Abstract: Introduction: ...

Abstract	Introduction:
Language	English
Publishing date	2023-08-22
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2719493-0
ISSN	2296-4185
ISSN	2296-4185
DOI	10.3389/fbioe.2023.1229387
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Article ; Online: Improving water efficiency is more effective in mitigating water stress than water transfer in Chinese cities.

Liu, Yanbing / Han, Baolong / Lu, Fei / Gong, Cheng / Ouyang, Zhiyun / Jiang, C Q / Zhang, Xiaoling

iScience

2024 Volume 27, Issue 3, Page(s) 109195

Abstract: The interactions between human and natural systems and their effects have unforeseen results, particularly in the management of water resources. Using water stress mitigation as an example, a water resources management effect index (WRMEI) was created to ...

Abstract	The interactions between human and natural systems and their effects have unforeseen results, particularly in the management of water resources. Using water stress mitigation as an example, a water resources management effect index (WRMEI) was created to quantitatively evaluate the trends of water management effects. This revealed that the WRMEI was decreasing due to the impact of the water resources management process. The findings demonstrate that water resources management has unintended effects: there was a gap between the expectation of water stress to be mitigated and the actual results of water stress increasing. That is caused by human activities in water utilization: (1) increasing available water resources from water transfer was not utilized sparingly in the receiving cities-increased water transfers from external sources increase domestic water consumption per capita; (2) improving water efficiency has a positive effect on mitigating water stress, but the population growth decreased the efficiency. It was concluded that much greater attention needs to be paid to water conservation in residential and living use to counter these unintended water management effects.
Language	English
Publishing date	2024-02-10
Publishing country	United States
Document type	Journal Article
ISSN	2589-0042
ISSN (online)	2589-0042
DOI	10.1016/j.isci.2024.109195
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Article: Assessment of NO2 Purification by Urban Forests Based on the i-Tree Eco Model: Case Study in Beijing, China

Gong, Cheng / Xian, Chaofan / Ouyang, Zhiyun

Forests. 2022 Feb. 22, v. 13, no. 3

2022

Abstract: Air quality issues caused by nitrogen dioxide (NO₂) have become increasingly serious in Chinese cities in recent years. As important urban green infrastructure, urban forests can mitigate gaseous nitrogen pollution by absorbing NO₂ through leaf gas ... ...

Abstract	Air quality issues caused by nitrogen dioxide (NO₂) have become increasingly serious in Chinese cities in recent years. As important urban green infrastructure, urban forests can mitigate gaseous nitrogen pollution by absorbing NO₂ through leaf gas exchange. This study investigated spatiotemporal variations in the NO₂ removal capacity of urban forests in Beijing city from 2014–2019, based on the i-Tree Eco deposition model. The results show that the annual removal capacity of administrative districts within Beijing city ranged from 14,910 to 17,747 tons, and the largest capacity (2684 tons) was found in the Fangshan district. The annual removal rate of NO₂ by urban forests in administrative districts within Beijing was estimated at between 0.50–1.60 g/m², reaching the highest (1.47 g/m²) in the Mengtougou district. The annual average absorption of NO₂ by urban forests can account for 0.14–2.60% of annual total atmospheric NO₂ and potentially reduce the NO₂ concentration by 0.10–0.34 µg/m³ on average. The results of a principal component analysis suggest that the distribution of urban forests in Beijing is not optimized to maximize their NO₂ removal capacity, being higher in suburban areas and lower in urban areas. This study provides insights into botanical NO₂ removal capacity in Beijing city to mitigate atmospheric N pollution, addressing the key role of urban forests in improving human wellbeing.
Keywords	absorption ; air quality ; case studies ; gas exchange ; green infrastructure ; leaves ; models ; nitrogen ; nitrogen dioxide ; pollution ; principal component analysis ; social welfare ; China
Language	English
Dates of publication	2022-0222
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2527081-3
ISSN	1999-4907
ISSN	1999-4907
DOI	10.3390/f13030369
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: The roles of DNA methylation on pH dependent i-motif (iM) formation in rice.

Feng, Yilong / Ma, Xing / Yang, Ying / Tao, Shentong / Ahmed, Asgar / Gong, Zhiyun / Cheng, Xuejiao / Zhang, Wenli

Nucleic acids research

2024 Volume 52, Issue 3, Page(s) 1243–1257

Abstract: I-motifs (iMs) are four-stranded non-B DNA structures containing C-rich DNA sequences. The formation of iMs is sensitive to pH conditions and DNA methylation, although the extent of which is still unknown in both humans and plants. To investigate this, ... ...

Abstract	I-motifs (iMs) are four-stranded non-B DNA structures containing C-rich DNA sequences. The formation of iMs is sensitive to pH conditions and DNA methylation, although the extent of which is still unknown in both humans and plants. To investigate this, we here conducted iMab antibody-based immunoprecipitation and sequencing (iM-IP-seq) along with bisulfite sequencing using CK (original genomic DNA without methylation-related treatments) and hypermethylated or demethylated DNA at both pH 5.5 and 7.0 in rice, establishing a link between pH, DNA methylation and iM formation on a genome-wide scale. We found that iMs folded at pH 7.0 displayed higher methylation levels than those formed at pH 5.5. DNA demethylation and hypermethylation differently influenced iM formation at pH 7.0 and 5.5. Importantly, CG hypo-DMRs (differentially methylated regions) and CHH (H = A, C and T) hyper-DMRs alone or coordinated with CG/CHG hyper-DMRs may play determinant roles in the regulation of pH dependent iM formation. Thus, our study shows that the nature of DNA sequences alone or combined with their methylation status plays critical roles in determining pH-dependent formation of iMs. It therefore deepens the understanding of the pH and methylation dependent modulation of iM formation, which has important biological implications and practical applications.
MeSH term(s)	Humans ; DNA/genetics ; DNA Methylation ; Genome ; Hydrogen-Ion Concentration ; Oryza/genetics
Chemical Substances	DNA (9007-49-2)
Language	English
Publishing date	2024-01-04
Publishing country	England
Document type	Journal Article
ZDB-ID	186809-3
ISSN	1362-4962 ; 1362-4954 ; 0301-5610 ; 0305-1048
ISSN (online)	1362-4962 ; 1362-4954
ISSN	0301-5610 ; 0305-1048
DOI	10.1093/nar/gkad1245
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Zs.A 1067: Show issues

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Article ; Online: The effect and mechanism of hexokinase-2 on cisplatin resistance in lung cancer cells A549.

Xie, Shishun / Li, Xiangjun / Zhao, Jianjun / Zhang, Fan / Shu, Zhiyun / Cheng, Hongyuan / Liu, Siyao / Shi, Shaomin

Environmental toxicology

2024 Volume 39, Issue 5, Page(s) 2667–2680

Abstract: Background: Hexokinase (HK) is the first rate-limiting enzyme of glycolysis, which can convert glucose to glucose-6-phosphate. There are several subtypes of HK, including HK2, which is highly expressed in a variety of different tumors and is closely ... ...

Abstract	Background: Hexokinase (HK) is the first rate-limiting enzyme of glycolysis, which can convert glucose to glucose-6-phosphate. There are several subtypes of HK, including HK2, which is highly expressed in a variety of different tumors and is closely associated with survival. Methods: Non-small cell lung cancer (NSCLC) A549 cells with stable overexpression and knockdown of HK2 were obtained by lentivirus transfection. The effects of overexpression and knockdown of HK2 on proliferation, migration, invasion, and glycolytic activity of A549 cells were investigated. The effects on apoptosis were also analyzed using western blot and flow cytometry. In addition, the mitochondria and cytoplasm were separated and the expression of apoptotic proteins was detected by western blot respectively. Results: Upregulation of HK2 could promote glycolysis, cell proliferation, migration, and invasion, which would be inhibited through the knockdown of HK2. HK2 overexpression contributed to cisplatin resistance, whereas HK2 knockdown enhanced cisplatin-induced apoptosis in A549 cells. Conclusions: Overexpression of HK2 can promote the proliferation, migration, invasion, and drug resistance of A549 cells by enhancing aerobic glycolysis and inhibiting apoptosis. Reducing HK2 expression or inhibiting HK2 activity can inhibit glycolysis and induce apoptosis in A549 cells, which is expected to be a potential treatment method for NSCLC.
MeSH term(s)	Humans ; Lung Neoplasms/pathology ; Cisplatin/pharmacology ; Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Non-Small-Cell Lung/pathology ; Hexokinase/genetics ; Hexokinase/metabolism ; Lung/pathology ; Cell Line, Tumor ; Cell Proliferation ; Apoptosis
Chemical Substances	Cisplatin (Q20Q21Q62J) ; Hexokinase (EC 2.7.1.1)
Language	English
Publishing date	2024-01-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	1463449-1
ISSN	1522-7278 ; 1520-4081
ISSN (online)	1522-7278
ISSN	1520-4081
DOI	10.1002/tox.24140
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Article ; Online: Identification of Gentian-Related Species Based on Two-Dimensional Correlation Spectroscopy (2D-COS) Combined with Residual Neural Network (ResNet)

Xunxun Wu / Xintong Yang / Zhiyun Cheng / Suyun Li / Xiaokun Li / Haiyun Zhang / Yong Diao

Molecules, Vol 28, Iss 5000, p

2023 Volume 5000

Abstract: Gentian is a traditional Chinese herb with heat-clearing, damp-drying, inflammation-alleviating and digestion-promoting effects, which is widely used in clinical practice. However, there are many species of gentian. According to the pharmacopoeia, ... ...

Abstract	Gentian is a traditional Chinese herb with heat-clearing, damp-drying, inflammation-alleviating and digestion-promoting effects, which is widely used in clinical practice. However, there are many species of gentian. According to the pharmacopoeia, Gentiana manshurica Kitag, Gentiana scabra Bge, Gentiana triflora Pall and Gentianarigescens Franch are included. Therefore, accurately identifying the species of gentian is important in clinical use. In recent years, with the advantages of low cost, convenience, fast analysis and high sensitivity, infrared spectroscopy (IR) has been extensively used in herbal identification. Unlike one-dimensional spectroscopy, a two-dimensional correlation spectrum (2D-COS) can improve the resolution of the spectrum and better highlight the details that are difficult to detect. In addition, the residual neural network (ResNet) is an important breakthrough in convolutional neural networks (CNNs) for significant advantages related to image recognition. Herein, we propose a new method for identifying gentian-related species using 2D-COS combined with ResNet. A total of 173 gentian samples from seven different species are collected in this study. In order to eliminate a large amount of redundant information and improve the efficiency of machine learning, the extracted feature band method was used to optimize the model. Four feature bands were selected from the infrared spectrum, namely 3500–3000 cm −1 , 3000–2750 cm −1 , 1750–1100 cm −1 and 1100–400 cm −1 , respectively. The one-dimensional spectral data were converted into synchronous 2D-COS images, asynchronous 2D-COS images, and integrative 2D-COS images using Matlab (R2022a). The identification strategy for these three 2D-COS images was based on ResNet, which analyzes 2D-COS images based on single feature bands and full bands as well as fused feature bands. According to the results, (1) compared with the other two 2D-COS images, synchronous 2D-COS images are more suitable for the ResNet model, and (2) after extracting a single ...
Keywords	gentian ; IR ; 2D-COS ; ResNet ; traditional Chinese medicine ; Organic chemistry ; QD241-441
Subject code	333
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identification of Gentian-Related Species Based on Two-Dimensional Correlation Spectroscopy (2D-COS) Combined with Residual Neural Network (ResNet).

Wu, Xunxun / Yang, Xintong / Cheng, Zhiyun / Li, Suyun / Li, Xiaokun / Zhang, Haiyun / Diao, Yong

Molecules (Basel, Switzerland)

2023 Volume 28, Issue 13

Abstract	Gentian is a traditional Chinese herb with heat-clearing, damp-drying, inflammation-alleviating and digestion-promoting effects, which is widely used in clinical practice. However, there are many species of gentian. According to the pharmacopoeia, Gentiana manshurica Kitag, Gentiana scabra Bge, Gentiana triflora Pall and Gentianarigescens Franch are included. Therefore, accurately identifying the species of gentian is important in clinical use. In recent years, with the advantages of low cost, convenience, fast analysis and high sensitivity, infrared spectroscopy (IR) has been extensively used in herbal identification. Unlike one-dimensional spectroscopy, a two-dimensional correlation spectrum (2D-COS) can improve the resolution of the spectrum and better highlight the details that are difficult to detect. In addition, the residual neural network (ResNet) is an important breakthrough in convolutional neural networks (CNNs) for significant advantages related to image recognition. Herein, we propose a new method for identifying gentian-related species using 2D-COS combined with ResNet. A total of 173 gentian samples from seven different species are collected in this study. In order to eliminate a large amount of redundant information and improve the efficiency of machine learning, the extracted feature band method was used to optimize the model. Four feature bands were selected from the infrared spectrum, namely 3500-3000 cm
MeSH term(s)	Gentiana/chemistry ; Neural Networks, Computer ; Spectrophotometry, Infrared ; Machine Learning ; Hot Temperature
Language	English
Publishing date	2023-06-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	1413402-0
ISSN	1420-3049 ; 1431-5165 ; 1420-3049
ISSN (online)	1420-3049
ISSN	1431-5165 ; 1420-3049
DOI	10.3390/molecules28135000
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