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Article ; Online: Endothelin Signaling Mediates Biliary-Endothelial Crosstalk in Primary Sclerosing Cholangitis.

Yin, Chunyue

Cellular and molecular gastroenterology and hepatology

2023 Volume 16, Issue 4, Page(s) 643–645

MeSH term(s)	Humans ; Cholangitis, Sclerosing ; Liver Cirrhosis, Biliary ; Endothelins
Chemical Substances	Endothelins
Language	English
Publishing date	2023-07-28
Publishing country	United States
Document type	Editorial ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Comment
ZDB-ID	2819778-1
ISSN	2352-345X ; 2352-345X
ISSN (online)	2352-345X
ISSN	2352-345X
DOI	10.1016/j.jcmgh.2023.07.003
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Article ; Online: Molecular mechanisms of Sox transcription factors during the development of liver, bile duct, and pancreas.

Yin, Chunyue

Seminars in cell & developmental biology

2017 Volume 63, Page(s) 68–78

Abstract: The liver and pancreas are the prime digestive and metabolic organs in the body. After emerging from the neighboring domains of the foregut endoderm, they turn on distinct differentiation and morphogenesis programs that are regulated by hierarchies of ... ...

Abstract	The liver and pancreas are the prime digestive and metabolic organs in the body. After emerging from the neighboring domains of the foregut endoderm, they turn on distinct differentiation and morphogenesis programs that are regulated by hierarchies of transcription factors. Members of SOX family of transcription factors are expressed in the liver and pancreas throughout development and act upstream of other organ-specific transcription factors. They play key roles in maintaining stem cells and progenitors. They are also master regulators of cell fate determination and tissue morphogenesis. In this review, we summarize the current understanding of SOX transcription factors in mediating liver and pancreas development. We discuss their contribution to adult organ function, homeostasis and injury responses. We also speculate how the knowledge of SOX transcription factors can be applied to improve therapies for liver diseases and diabetes.
Language	English
Publishing date	2017-03
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	1312473-0
ISSN	1096-3634 ; 1084-9521
ISSN (online)	1096-3634
ISSN	1084-9521
DOI	10.1016/j.semcdb.2016.08.015
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Article: Isolation and Identification of the Causal Agent of Top Rot and the Genetic Architecture of Resistance in Maize.

Liu, Huanhuan / Zhao, Chunyue / Wang, Yan / Ye, Shiyu / He, Yonghui / Hu, Qinying / Yin, Zhitong

Plant disease

2023 Volume 107, Issue 9, Page(s) 2799–2807

Abstract: In maize ( ...

Abstract	In maize (
MeSH term(s)	Zea mays/genetics ; Zea mays/microbiology ; Chromosome Mapping ; Quantitative Trait Loci ; Fusarium/genetics
Language	English
Publishing date	2023-09-19
Publishing country	United States
Document type	Journal Article
ZDB-ID	754182-x
ISSN	0191-2917
ISSN	0191-2917
DOI	10.1094/PDIS-02-23-0276-RE
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Article ; Online: Clinical model of pulmonary metastasis in patients with osteosarcoma: A new multiple machine learning-based risk prediction.

Su, Zhiping / Huang, Feihong / Yin, Chunyue / Yu, Yuezhao / Yu, Chaojie

Journal of orthopaedic surgery (Hong Kong)

2023 Volume 31, Issue 2, Page(s) 10225536231177102

Abstract: Background: Metastasis is one of the most significant prognostic factors in osteosarcoma (OS). The goal of this study was to construct a clinical prediction model for OS patients in a population cohort and to evaluate the factors influencing the ... ...

Abstract	Background: Metastasis is one of the most significant prognostic factors in osteosarcoma (OS). The goal of this study was to construct a clinical prediction model for OS patients in a population cohort and to evaluate the factors influencing the occurrence of pulmonary metastasis. Methods: We collected data from 612 patients with osteosarcoma (OS), and 103 clinical indicators were collected. After the data were filtered, the patients were randomly divided into training and validation cohorts by using random sampling. The training cohort included 191 patients with pulmonary metastasis in OS and 126 patients with non-pulmonary metastasis, and the validation cohort included 50 patients with pulmonary metastasis in OS and 57 patients with non-pulmonary metastasis. Univariate logistics regression analysis, LASSO regression analysis and multivariate logistic regression analysis were performed to identify potential risk factors for pulmonary metastasis in patients with osteosarcoma. A nomogram was developed that included risk influencing variables selected by multivariable analysis, and used the concordance index (C-index) and calibration curve to validate the model. Receiver operating characteristic curve (ROC), decision analysis curve (DCA) and clinical impact curve (CIC) were employed to assess the model. In addition, we used a predictive model on the validation cohort. Results: Logistic regression analysis was used to identify independent predictors [N Stage + Alkaline phosphatase (ALP)+Thyroid stimulating hormone (TSH)+Free triiodothyronine (FT3)]. A nomogram was constructed to predict the risk of pulmonary metastasis in patients with osteosarcoma. The performance was evaluated by the concordance index (C-index) and calibration curve. The ROC curve provides the predictive power of the nomogram (AUC = 0.701 in the training cohort, AUC = 0.786 in the training cohort). Decision curve analysis (DCA) and clinical impact curve (CIC) demonstrated the clinical value of the nomogram and higher overall net benefits. Conclusions: Our study can help clinicians effectively predict the risk of lung metastases in osteosarcoma with more readily available clinical indicators, provide more personalized diagnosis and treatment guidance, and improve the prognosis of patients. Mini abstract: A new risk model was constructed to predict the pulmonary metastasis in patients with osteosarcoma based on multiple machine learning.
MeSH term(s)	Humans ; Prognosis ; Models, Statistical ; Osteosarcoma ; Lung Neoplasms ; Machine Learning ; Bone Neoplasms
Language	English
Publishing date	2023-06-08
Publishing country	England
Document type	Randomized Controlled Trial ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1493368-8
ISSN	2309-4990 ; 1022-5536
ISSN (online)	2309-4990
ISSN	1022-5536
DOI	10.1177/10225536231177102
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Article: Improved approximate dynamic programming for real-time economic dispatch of integrated microgrids

Lin, Zhiyi / Song, Chunyue / Zhao, Jun / Yin, Huan

Energy. 2022 Sept. 15, v. 255

2022

Abstract: Economic dispatch of electricity-heat microgrid is critical for real-time power generation and storage. However, conventional economic dispatch algorithms are generally integrated with static unit models without considering dynamics of units, thus ... ...

Abstract	Economic dispatch of electricity-heat microgrid is critical for real-time power generation and storage. However, conventional economic dispatch algorithms are generally integrated with static unit models without considering dynamics of units, thus leading to difficulties for real deployment in stochastical environments. In this paper, we propose a novel approximate dynamic programming (ADP) based real-time optimization algorithm. Specifically, the proposed ADP is employed to solve the Markov decision process with considering the dynamic process of combined-cycle gas turbine. Furthermore, we also design a novel weighted piecewise linear function to achieve the near-optimal solution, which is simple but effective for computational complexity reduction. In the experimental section, we conduct extensive experiments with comparisons to other economic dispatch methods. The experimental results indicate that: 1) The dynamic process of energy conversion brings more practical solutions; 2) The proposed ADP-based method could handle the stochasticity of the microgrid; 3) The proposed method outperforms the other intra-day optimization policies in both economical and computational efficiency.
Keywords	algorithms ; economic dispatch ; energy conversion ; power generation
Language	English
Dates of publication	2022-0915
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2019804-8
ISSN	0360-5442 ; 0360-5442
ISSN (online)	0360-5442
ISSN	0360-5442
DOI	10.1016/j.energy.2022.124513
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Isolation and Identification of the Causal Agent of Top Rot and the Genetic Architecture of Resistance in Maize

Liu, Huanhuan / Zhao, Chunyue / Wang, Yan / Ye, Shiyu / He, Yonghui / Hu, Qinying / Yin, Zhitong

Plant Disease. 2023 Sept. 01, v. 107, no. 9 p.2799-2807

2023

Abstract: In maize (Zea mays), the disease known as “top rot” causes necrosis of the upper plant, disrupts tassel formation and pollen dispersal, and decreases yield. However, the causal agent, mode of pathogen infestation, and genetic architecture of resistance ... ...

Abstract	In maize (Zea mays), the disease known as “top rot” causes necrosis of the upper plant, disrupts tassel formation and pollen dispersal, and decreases yield. However, the causal agent, mode of pathogen infestation, and genetic architecture of resistance in maize remain to be explored. Here, to identify the causal agent, we isolated 41 fungal strains from maize plants infected with top rot. We classified these strains into six groups based on their morphological and molecular characteristics. Four species of Fusarium (F. fujikuroi, F. equiseti, F. proliferatum, and F. verticillioides) were able to cause top rot, with F. fujikuroi and F. equiseti being the main causal agents. Microscopic observations of a F. fujikuroi strain labeled with enhanced green fluorescent protein revealed that this pathogen first colonizes the stomata of leaves and then spreads through intercellular spaces, creating an expanding lesion. To dissect the genetic basis of maize resistance to top rot, we performed quantitative trait locus (QTL) mapping using a recombinant inbred line population constructed from the resistant parent LDC-1 and the susceptible parent YS501. Under natural conditions in Yangzhou and Hainan, we detected three and five QTLs, respectively, with qRtr7-1, located on chromosome 7, detected in both environments. Using inoculated seedlings, we detected three QTLs for resistance on chromosomes 1, 5, and 8. These results improve our understanding of maize top rot and provide a theoretical basis for its control.
Keywords	Fusarium ; Zea mays ; chromosomes ; corn ; fungi ; green fluorescent protein ; inbred lines ; necrosis ; pathogens ; pollen flow ; quantitative trait loci ; China ; EGFP-labeled strain ; maize ; pathogen isolation ; QTL mapping ; top rot
Language	English
Dates of publication	2023-0901
Size	p. 2799-2807.
Publishing place	The American Phytopathological Society
Document type	Article ; Online
ZDB-ID	754182-x
ISSN	0191-2917
ISSN	0191-2917
DOI	10.1094/PDIS-02-23-0276-RE
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Article ; Online: Zebrafish as a Model to Study Cholestatic Liver Diseases.

Pham, Duc-Hung / Yin, Chunyue

Methods in molecular biology (Clifton, N.J.)

2019 Volume 1981, Page(s) 273–289

Abstract: Cholestasis is a condition that impairs bile flow, resulting in retention of bile fluid in the liver. It may cause significant morbidity and mortality due to pruritus, malnutrition, and complications from portal hypertension secondary to biliary ... ...

Abstract	Cholestasis is a condition that impairs bile flow, resulting in retention of bile fluid in the liver. It may cause significant morbidity and mortality due to pruritus, malnutrition, and complications from portal hypertension secondary to biliary cirrhosis. The zebrafish (Danio rerio) has emerged as a valuable model organism for studying cholestasis that complements with the in vitro systems and rodent models. Its main advantages include conserved mechanisms of liver development and bile formation, rapid external development, ease of monitoring hepatobiliary morphology and function in live larvae, and accessibility to genetic and chemical manipulations. In this chapter, we provide an overview of the existing zebrafish models of cholestatic liver diseases. We discuss the strengths and limitations of using zebrafish to study cholestasis. We also provide step-by-step descriptions of the methodologies for analyzing cholestatic phenotypes in zebrafish.
MeSH term(s)	Animals ; Bile Ducts/metabolism ; Bile Ducts/pathology ; Cholestasis/metabolism ; Cholestasis/pathology ; Disease Models, Animal ; Liver/metabolism ; Liver/pathology ; Liver Diseases/metabolism ; Liver Diseases/pathology ; Zebrafish
Language	English
Publishing date	2019-04-23
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ISSN	1940-6029
ISSN (online)	1940-6029
DOI	10.1007/978-1-4939-9420-5_18
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Article ; Online: Research on UAV route planning based on adaptive multi heuristic ant colony algorithm

Yanan YIN / Ran ZHEN / Xiaojing WU / Chunyue ZHANG / Xueli WU

Journal of Hebei University of Science and Technology, Vol 42, Iss 1, Pp 38-

2021 Volume 47

Abstract: In order to solve the problem that ant colony algorithm is easy to fall into local optimum in UAV route planning, an improved ant colony algorithm was proposed. The upper and lower limits of pheromone volatilization factor and pheromone were set to ... ...

Abstract	In order to solve the problem that ant colony algorithm is easy to fall into local optimum in UAV route planning, an improved ant colony algorithm was proposed. The upper and lower limits of pheromone volatilization factor and pheromone were set to prevent ants from falling into local optimum because pheromone on short path was too high or pheromone on long path was too low. At the same time, under the influence of multiple heuristic factors, the overall length of the path was taken as an adaptive heuristic function factor to determine the state transition probability. When the path length was large, the adaptive heuristic function factor was small, which reduced the probability of choosing the path by the ant colony. The experimental results show that the improved algorithm reduces the path length by 6.4% and the variance of the optimal path length by 85.78%, which increases the consideration of environmental integrity, shortens the path length, reduces the number of iterations, and jumps out of the local optimum. In the case of increasing environmental complexity, the algorithm can effectively choose a better path and provide a theoretical basis for UAV route planning after introducing the adaptive heuristic function factor.
Keywords	basic science and technology of aeronautics and astronautics other disciplines ; uav ; ant colony algorithm ; route planning ; heuristic factors ; Technology ; T
Subject code	000
Language	Chinese
Publishing date	2021-02-01T00:00:00Z
Publisher	Hebei University of Science and Technology
Document type	Article ; Online
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Article ; Online: Screening and verifying the mutations in the LDLR and APOB genes in a Chinese family with familial hypercholesterolemia.

Lv, Xian / Wang, Chunyue / Liu, Lu / Yin, Guoqing / Zhang, Wen / Abdu, Fuad A / Shi, Tingting / Zhang, Qingfeng / Che, Wenliang

Lipids in health and disease

2023 Volume 22, Issue 1, Page(s) 175

Abstract: Background: Familial hypercholesterolemia (FH) is an autosomal dominant genetic disorder. The primary objective of this study was to identify the major pathogenic mutations in a Chinese family with FH.: Methods: Whole-genome sequencing (WGS) was used ...

Abstract	Background: Familial hypercholesterolemia (FH) is an autosomal dominant genetic disorder. The primary objective of this study was to identify the major pathogenic mutations in a Chinese family with FH. Methods: Whole-genome sequencing (WGS) was used to identify variants of FH-related genes, including low-density lipoprotein receptor (LDLR), apolipoprotein B (APOB), and proprotein convertase subtilisin/kexin 9 (PCSK9). Bioinformatics software was used to predict signal peptides, transmembrane structures, and spatial construction information of the mutated sequences. Western blotting was performed on the mutant protein to determine the presence of the major structural domains of the LDLR. The PCSK9 and APOB genes were screened and analyzed. Moreover, the proband and his brother were treated with a PCSK9 inhibitor for 1 year, and the effect of the treatment on lipid levels was assessed. Results: WGS revealed two potentially pathogenic mutations in the LDLR gene. One was a novel mutation, c.497delinsGGATCCCCCAGCTGCATCCCCCAG (p. Ala166fs), and the other was a known pathogenic mutation, c.2054C>T (p. Pro685Leu). Bioinformatics prediction and in vitro experiments revealed that the novel mutation could not be expressed on the cell membrane. Numerous gene variants were identified in the APOB gene that may have a significant impact on the family members with FH. Thus, it is suggested that the severe manifestation of FH in the proband primarily resulted from the cumulative genetic effects of variants in both LDLR and APOB. However, a subsequent study indicated that treatment with a PCSK9 inhibitor (Evolocumab) did not significantly reduce the blood lipid levels in the proband or his brother. Conclusions: The cumulative effect of LDLR and APOB variants was the primary cause of elevated blood lipid levels in this family. However, PCSK9 inhibitor therapy did not appear to be beneficial for the proband. This study emphasizes the importance of genetic testing in determining the most suitable treatment options for patients with FH.
MeSH term(s)	Humans ; Male ; Apolipoproteins B/genetics ; East Asian People/genetics ; Hyperlipoproteinemia Type II/diagnosis ; Hyperlipoproteinemia Type II/drug therapy ; Hyperlipoproteinemia Type II/genetics ; Lipids ; Mutation ; Proprotein Convertase 9/genetics ; Receptors, LDL/genetics ; Genetic Testing
Chemical Substances	Apolipoproteins B ; Lipids ; PCSK9 protein, human (EC 3.4.21.-) ; Proprotein Convertase 9 (EC 3.4.21.-) ; Receptors, LDL
Language	English
Publishing date	2023-10-18
Publishing country	England
Document type	Journal Article
ZDB-ID	2091381-3
ISSN	1476-511X ; 1476-511X
ISSN (online)	1476-511X
ISSN	1476-511X
DOI	10.1186/s12944-023-01935-8
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Article ; Online: Macrophages in Zebrafish Models of Liver Diseases.

Shwartz, Arkadi / Goessling, Wolfram / Yin, Chunyue

Frontiers in immunology

2019 Volume 10, Page(s) 2840

Abstract: Hepatic macrophages are key components of the liver immunity and consist of two main populations. Liver resident macrophages, known as Kupffer cells in mammals, are crucial for maintaining normal liver homeostasis. Upon injury, they become activated to ... ...

Abstract	Hepatic macrophages are key components of the liver immunity and consist of two main populations. Liver resident macrophages, known as Kupffer cells in mammals, are crucial for maintaining normal liver homeostasis. Upon injury, they become activated to release proinflammatory cytokines and chemokines and recruit a large population of inflammatory monocyte-derived macrophages to the liver. During the progression of liver diseases, macrophages are highly plastic and have opposing functions depending on the signaling cues that they receive from the microenvironment. A comprehensive understanding of liver macrophages is essential for developing therapeutic interventions that target these cells in acute and chronic liver diseases. Mouse studies have provided the bulk of our current knowledge of liver macrophages. The emergence of various liver disease models and availability of transgenic tools to visualize and manipulate macrophages have made the teleost zebrafish (
MeSH term(s)	Animals ; Disease Models, Animal ; Hematopoiesis ; Liver Diseases/immunology ; Liver Diseases, Alcoholic/immunology ; Liver Neoplasms/immunology ; Liver Regeneration ; Macrophages/physiology ; Zebrafish
Language	English
Publishing date	2019-12-04
Publishing country	Switzerland
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Review
ZDB-ID	2606827-8
ISSN	1664-3224 ; 1664-3224
ISSN (online)	1664-3224
ISSN	1664-3224
DOI	10.3389/fimmu.2019.02840
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