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Article ; Online: Integrated metabolomics and network pharmacology approach to exploring the potential mechanism of tianxiang capsule for treating motion sickness.

Zhang, Weiyue / Cao, Yan / Chen, Si / Li, Feng / Chen, Xiaofei / Liu, Yue

2021 Volume 275, Page(s) 114107

Abstract: ... spatial environmental sensory conflicts. Tianxiang Capsule (TXC) is a traditional Chinese medicine (TCM ...

Abstract	Ethnopharmacological relevance: Motion sickness is a multi-system syndrome caused by abnormal spatial environmental sensory conflicts. Tianxiang Capsule (TXC) is a traditional Chinese medicine (TCM) formula for the prevention and treatment of motion sickness for years. However, the main active components of TXC and mechanism of its therapeutic effects on motion sickness are still unclear. Aim of the study: The purpose of this work is to investigate the mechanism of TXC in preventing motion sickness based on serum metabolomics and network pharmacology. On the basis of the clear validation of the anti-motion sickness effect of TXC, we used the strategy of combined GC-MS metabolomics and network pharmacology to screen 60 differential metabolites regulated by TXC. Materials and methods: The rat models of motion sickness were stimulated by biaxial rotational acceleration, spontaneous activity was used to evaluate the efficacy of TXC on motion sickness. Serum metabolomics-based analysis was conducted to screen the differential metabolites related to motion sickness. Then, network pharmacology analysis was used to integrate the information of differential metabolites with target proteins and chemical components, and the "components-target protein-metabolite related protein-metabolite" network was constructed to explore the mechanism of the protective effect of TXC against motion sickness. Results: The results of network integration analysis showed that the 50 TXC potential active ingredients mediated the differential expression of 49 metabolic biomarkers by targeting 25 target protein and regulated arachidonic acid metabolism, calcium signaling pathways, etc. In addition, we found that TXC can promote the secretion of insulin mediated by arachidonic acid pathway metabolites, regulate the levels of adrenaline and leptin, maintain blood glucose balance, and achieve the therapeutic effect of motion sickness. Conclusions: Our results indicated that the arachidonic acid metabolic pathway and related targets are the key ways for TXC to exert its efficacy, and its target protein and anti-motion sickness mechanism deserve further study. Our work proved that the integrated strategy of metabolomics and network pharmacology can well explain the "multi-component - multi-target" mechanism of complex TCM in vivo, which is a practical approach for the study of TCM formula.
MeSH term(s)	Acetylcholine/metabolism ; Animals ; Disease Models, Animal ; Drugs, Chinese Herbal/metabolism ; Drugs, Chinese Herbal/pharmacology ; Drugs, Chinese Herbal/therapeutic use ; Histamine/metabolism ; Hormones/blood ; Male ; Metabolic Networks and Pathways/drug effects ; Metabolomics/methods ; Motion Sickness/drug therapy ; Motion Sickness/metabolism ; Rats, Sprague-Dawley ; Vestibular Nuclei/metabolism ; Rats
Chemical Substances	Drugs, Chinese Herbal ; Hormones ; Histamine (820484N8I3) ; Acetylcholine (N9YNS0M02X)
Language	English
Publishing date	2021-04-14
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	134511-4
ISSN	1872-7573 ; 0378-8741
ISSN (online)	1872-7573
ISSN	0378-8741
DOI	10.1016/j.jep.2021.114107
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Article: Integrated metabolomics and network pharmacology approach to exploring the potential mechanism of tianxiang capsule for treating motion sickness

Zhang, Weiyue / Cao, Yan / Chen, Si / Li, Feng / Chen, Xiaofei / Liu, Yue

Journal of ethnopharmacology. 2021 July 15, v. 275

2021

Abstract: ... conflicts. Tianxiang Capsule (TXC) is a traditional Chinese medicine (TCM) formula for the prevention and ...

Abstract	Motion sickness is a multi-system syndrome caused by abnormal spatial environmental sensory conflicts. Tianxiang Capsule (TXC) is a traditional Chinese medicine (TCM) formula for the prevention and treatment of motion sickness for years. However, the main active components of TXC and mechanism of its therapeutic effects on motion sickness are still unclear.The purpose of this work is to investigate the mechanism of TXC in preventing motion sickness based on serum metabolomics and network pharmacology. On the basis of the clear validation of the anti-motion sickness effect of TXC, we used the strategy of combined GC-MS metabolomics and network pharmacology to screen 60 differential metabolites regulated by TXC.The rat models of motion sickness were stimulated by biaxial rotational acceleration, spontaneous activity was used to evaluate the efficacy of TXC on motion sickness. Serum metabolomics-based analysis was conducted to screen the differential metabolites related to motion sickness. Then, network pharmacology analysis was used to integrate the information of differential metabolites with target proteins and chemical components, and the “components-target protein-metabolite related protein-metabolite” network was constructed to explore the mechanism of the protective effect of TXC against motion sickness.The results of network integration analysis showed that the 50 TXC potential active ingredients mediated the differential expression of 49 metabolic biomarkers by targeting 25 target protein and regulated arachidonic acid metabolism, calcium signaling pathways, etc. In addition, we found that TXC can promote the secretion of insulin mediated by arachidonic acid pathway metabolites, regulate the levels of adrenaline and leptin, maintain blood glucose balance, and achieve the therapeutic effect of motion sickness.Our results indicated that the arachidonic acid metabolic pathway and related targets are the key ways for TXC to exert its efficacy, and its target protein and anti-motion sickness mechanism deserve further study. Our work proved that the integrated strategy of metabolomics and network pharmacology can well explain the “multi-component - multi-target” mechanism of complex TCM in vivo, which is a practical approach for the study of TCM formula.
Keywords	Oriental traditional medicine ; arachidonic acid ; biochemical pathways ; biomarkers ; blood glucose ; blood serum ; calcium ; epinephrine ; gene expression regulation ; insulin ; leptin ; metabolites ; metabolomics ; pharmacology ; protective effect ; rats ; therapeutics
Language	English
Dates of publication	2021-0715
Publishing place	Elsevier B.V.
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	134511-4
ISSN	1872-7573 ; 0378-8741
ISSN (online)	1872-7573
ISSN	0378-8741
DOI	10.1016/j.jep.2021.114107
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Make Forests Better Play Their Role in Mitigating Climate Change

Yifu Wang / Tianxiang Yue

Forests, Vol 13, Iss 249, p

2022 Volume 249

Abstract: Climate change caused by industrial carbon emissions and land use/land cover changes is a widely concerning issue around the world and is closely related to the global carbon cycle [.] ...

Abstract	Climate change caused by industrial carbon emissions and land use/land cover changes is a widely concerning issue around the world and is closely related to the global carbon cycle [.]
Keywords	n/a ; Plant ecology ; QK900-989
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: Synthesis and Antitumor Evaluation of Biotin-SN38-Valproic Acid Conjugates.

Dai, Yi / Zhang, Yang / Ye, Tianxiang / Chen, Yue

Molecules (Basel, Switzerland)

2023 Volume 28, Issue 9

Abstract: Despite the strong anticancer activity of SN38 (7-ethyl-10-hydroxy-camptothecin), the severe side effects and loss of anticancer activity caused by the lack of selectivity to cancer cells and hydrolysis of ring E prevent its clinical application. To ... ...

Abstract	Despite the strong anticancer activity of SN38 (7-ethyl-10-hydroxy-camptothecin), the severe side effects and loss of anticancer activity caused by the lack of selectivity to cancer cells and hydrolysis of ring E prevent its clinical application. To address the issue, herein a multifunctional SN38 derivative (compound
MeSH term(s)	Animals ; Humans ; Mice ; Irinotecan ; Valproic Acid/pharmacology ; Biotin ; HeLa Cells ; NIH 3T3 Cells ; Cell Line, Tumor ; Fibroblasts ; Camptothecin ; Antineoplastic Agents, Phytogenic/pharmacology
Chemical Substances	Irinotecan (7673326042) ; Valproic Acid (614OI1Z5WI) ; Biotin (6SO6U10H04) ; Camptothecin (XT3Z54Z28A) ; Antineoplastic Agents, Phytogenic
Language	English
Publishing date	2023-05-07
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/molecules28093936
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Article: Novel Influenza Vaccines: From Research and Development (R&D) Challenges to Regulatory Responses.

He, Xiangchuan / Zhang, Tianxiang / Huan, Shitong / Yang, Yue

Vaccines

2023 Volume 11, Issue 10

Abstract: Influenza vaccines faced significant challenges in achieving sufficient protective efficacy and production efficiency in the past. In recent decades, novel influenza vaccines, characterized by efficient and scalable production, advanced platforms, and ... ...

Abstract	Influenza vaccines faced significant challenges in achieving sufficient protective efficacy and production efficiency in the past. In recent decades, novel influenza vaccines, characterized by efficient and scalable production, advanced platforms, and new adjuvant technologies, have overcome some of these weaknesses and have been widely licensed. Furthermore, researchers are actively pursuing the development of next-generation and universal influenza vaccines to provide comprehensive protection against potential pandemic subtypes or strains. However, new challenges have emerged as these novel vaccines undergo evaluation and authorization. In this review, we primarily outline the critical challenges and advancements in research and development (R&D) and highlight the improvements in regulatory responses for influenza vaccines.
Language	English
Publishing date	2023-10-09
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2703319-3
ISSN	2076-393X
ISSN	2076-393X
DOI	10.3390/vaccines11101573
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Article: Make Forests Better Play Their Role in Mitigating Climate Change

Wang, Yifu / Yue, Tianxiang

Forests. 2022 Feb. 06, v. 13, no. 2

2022

Abstract: Climate change caused by industrial carbon emissions and land use/land cover changes is a widely concerning issue around the world and is closely related to the global carbon cycle [ ... ] ...

Abstract	Climate change caused by industrial carbon emissions and land use/land cover changes is a widely concerning issue around the world and is closely related to the global carbon cycle [...]
Keywords	carbon ; climate change ; global carbon budget ; land cover ; land use
Language	English
Dates of publication	2022-0206
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2527081-3
ISSN	1999-4907
ISSN	1999-4907
DOI	10.3390/f13020249
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Global future population exposure to heatwaves

Yuwei Wang / Na Zhao / Xiaozhe Yin / Chaoyang Wu / Mingxing Chen / Yimeng Jiao / Tianxiang Yue

Environment International, Vol 178, Iss , Pp 108049- (2023)

2023

Abstract: The increasing exposure to extreme heatwaves in urban areas from both climate change and the urban heat island (UHI) effect poses multiple threats and challenges to human society. Despite a growing number of studies focusing on extreme exposure, research ...

Abstract	The increasing exposure to extreme heatwaves in urban areas from both climate change and the urban heat island (UHI) effect poses multiple threats and challenges to human society. Despite a growing number of studies focusing on extreme exposure, research advances are still limited in some aspects such as oversimplification of human exposure to heatwaves and neglect of perceived temperature as well as actual body comfort, resulting in unreliable and unrealistic estimates of future results. In addition, little research has performed comprehensive and fine-resolution global analyses in future scenarios. In this study, we present the first global fine-resolution projection of future changing urban population exposure to heatwaves by 2100 under four shared socioeconomic pathways (SSPs) considering urban expansion at global, regional, and national scales. Overall, global urban population exposure to heatwaves is rising under the four SSPs. Temperate and tropical zones predictably have the greatest exposure among all climate zones. Coastal cities are projected to have the greatest exposure, followed closely by cities at low altitudes. Middle-income countries have the lowest exposure and the lowest inequality of exposure among countries. Individual climate effects contributed the most (approximately 46.4%) to future changes in exposure, followed by the interactive effect between climate and urbanization (approximately 18.5%). Our results indicate that more attention needs to be paid to policy improvements and sustainable development planning of global coastal cities and some low-altitude cities, especially in low- and high-income countries. Meanwhile, this study also highlights the impact of continued future urban expansion on population exposure to heatwaves.
Keywords	Climate change ; Heatwaves ; Population exposure ; Urbanization ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Global future population exposure to heatwaves.

Wang, Yuwei / Zhao, Na / Yin, Xiaozhe / Wu, Chaoyang / Chen, Mingxing / Jiao, Yimeng / Yue, Tianxiang

Environment international

2023 Volume 178, Page(s) 108049

Abstract	The increasing exposure to extreme heatwaves in urban areas from both climate change and the urban heat island (UHI) effect poses multiple threats and challenges to human society. Despite a growing number of studies focusing on extreme exposure, research advances are still limited in some aspects such as oversimplification of human exposure to heatwaves and neglect of perceived temperature as well as actual body comfort, resulting in unreliable and unrealistic estimates of future results. In addition, little research has performed comprehensive and fine-resolution global analyses in future scenarios. In this study, we present the first global fine-resolution projection of future changing urban population exposure to heatwaves by 2100 under four shared socioeconomic pathways (SSPs) considering urban expansion at global, regional, and national scales. Overall, global urban population exposure to heatwaves is rising under the four SSPs. Temperate and tropical zones predictably have the greatest exposure among all climate zones. Coastal cities are projected to have the greatest exposure, followed closely by cities at low altitudes. Middle-income countries have the lowest exposure and the lowest inequality of exposure among countries. Individual climate effects contributed the most (approximately 46.4%) to future changes in exposure, followed by the interactive effect between climate and urbanization (approximately 18.5%). Our results indicate that more attention needs to be paid to policy improvements and sustainable development planning of global coastal cities and some low-altitude cities, especially in low- and high-income countries. Meanwhile, this study also highlights the impact of continued future urban expansion on population exposure to heatwaves.
MeSH term(s)	Humans ; Cities ; Hot Temperature ; Urbanization ; Urban Population ; Climate Change
Language	English
Publishing date	2023-06-20
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	554791-x
ISSN	1873-6750 ; 0160-4120
ISSN (online)	1873-6750
ISSN	0160-4120
DOI	10.1016/j.envint.2023.108049
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Article: A comparative mapping of plant species diversity using ensemble learning algorithms combined with high accuracy surface modeling

Zhao, Yapeng / Yin, Xiaozhe / Fu, Yan / Yue, Tianxiang

Environmental science and pollution research. 2022 Mar., v. 29, no. 12

2022

Abstract: Plant species diversity (PSD) has always been an essential component of biodiversity and plays an important role in ecosystem functions and services. However, it is still a huge challenge to simulate the spatial distribution of PSD due to the ... ...

Abstract	Plant species diversity (PSD) has always been an essential component of biodiversity and plays an important role in ecosystem functions and services. However, it is still a huge challenge to simulate the spatial distribution of PSD due to the difficulties of data acquisition and unsatisfactory performance of predicting algorithms over large areas. A surge in the number of remote sensing imagery, along with the great success of machine learning, opens new opportunities for the mapping of PSD. Therefore, different machine learning algorithms combined with high-accuracy surface modeling (HASM) were firstly proposed to predict the PSD in the Xinghai, northeastern Qinghai-Tibetan Plateau, China. Spectral reflectance and vegetation indices, generated from Landsat 8 images, and environmental variables were taken as the potential explanatory factors of machine learning models including least absolute shrinkage and selection operator (Lasso), ridge regression (Ridge), eXtreme Gradient Boosting (XGBoost), and Random Forest (RF). The prediction generated from these machine learning methods and in situ observation data were integrated by using HASM for the high-accuracy mapping of PSD including three species diversity indices. The results showed that PSD was closely associated with vegetation indices, followed by spectral reflectance and environmental factors. XGBoost combined with HASM (HASM-XGBoost) showed the best performance with the lowest MAE and RMSE. Our results suggested that the fusion of heterogeneous data and the ensemble of heterogeneous models may revolutionize our ability to predict the PSD over large areas, especially in some places limited by sparse field samples.
Keywords	Landsat ; data collection ; ecosystems ; pollution ; prediction ; reflectance ; research ; species diversity ; vegetation ; China
Language	English
Dates of publication	2022-03
Size	p. 17878-17891.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-021-16973-x
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Optimization Method for Water-Flooded Beach-Bar Sand Bodies

Tianxiang Kang / Wen Yin / Jiao Wang / Yue Zhang / Xiaojian Wang / Zeyi Huang

Processes, Vol 11, Iss 12, p

A Case Study of the Fourth Member Red Beds of the Paleogene Shahejie Formation in the Dongying Depression

2023 Volume 3361

Abstract: As water flooding continues to advance in mature oil fields, conventional well logging curve responses exhibit anomalies, particularly in deep-seated beach-bar thin-layer sand bodies. These sand bodies exhibit strong vertical and planar heterogeneity, ... ...

Abstract	As water flooding continues to advance in mature oil fields, conventional well logging curve responses exhibit anomalies, particularly in deep-seated beach-bar thin-layer sand bodies. These sand bodies exhibit strong vertical and planar heterogeneity, which hinders a clear understanding of their distribution and connectivity. This paper conducts a sensitivity analysis of the lower part of the 4th member of the Shahejie Formation in fault block C26, based on core data analysis and the integration of drilling, logging, recording, and production dynamic data. Natural potential and resistivity curves are selected as the sensitive curves for identifying sand bodies. Preliminary processing of well logging curves is carried out using the “standard layer constraint and multi-standardization method comparison” principle. Employing sedimentological research methods and the principles of wavelet transformation, the well logging curves within the study area undergo extraction of both high and low frequencies. This procedure accentuates details related to thin sand bodies and responses indicative of sedimentary cyclicity. Through a thoughtful amalgamation of multiple curves, the investigation achieves a systematic fusion of natural potential curves via multi-curve frequency division fusion, employing reconstruction optimization. This method adeptly mitigates interference stemming from water-flooded layers, effectively addressing challenges such as excessive calibration and ambiguous identification of sand bodies. As a result, a comprehensive analytical approach is established for assessing the distribution and connectivity of deep-seated, beach-bar thin sand bodies influenced by water-flooded layers, providing clarity on the connectivity relationships among the sand bodies. Additionally, in combination with the results of mercury injection experiments in the water-flooded layer segments, favorable reservoir criteria for the study area are determined, providing a scientific basis for adjusting future development plans.
Keywords	Dongying depression ; thin-layer sand bodies ; water flooded layer ; sensitivity curves ; frequency division fusion ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
Subject code	550
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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