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Article: Genomic insights into combating anthracnose with an endophytic

Zhang, Haiyan / Zhang, Jie / Tong, Yao / Luan, Zhiyuan / Hou, Jiexi / Luan, Fenggang

2024

Abstract: Anthracnose, caused ... ...

Abstract	Anthracnose, caused by
Language	English
Publishing date	2024-03-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	754182-x
ISSN	0191-2917
ISSN	0191-2917
DOI	10.1094/PDIS-06-23-1169-SC
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Complexation mechanism of Pb

Liang, Yu / Xiang, Yongjin / Wei, Zhiyuan / Avena, Marcelo / Xiong, Juan / Hou, Jingtao / Wang, Mingxia / Tan, Wenfeng

Environmental research

2024 Volume 252, Issue Pt 2, Page(s) 118935

Abstract: Hematite nanoparticles commonly undergoes isomorphic substitution of ... ...

Abstract	Hematite nanoparticles commonly undergoes isomorphic substitution of Al
Language	English
Publishing date	2024-04-15
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2024.118935
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Article ; Online: Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study.

Zhou, Xinyu / Song, Suhang / Zhang, Ying / Hou, Zhiyuan

Journal of medical Internet research

2023 Volume 25, Page(s) e49753

Abstract: Background: An ongoing monitoring of national and subnational trajectory of COVID-19 vaccine hesitancy could offer support in designing tailored policies on improving vaccine uptake.: Objective: We aim to track the temporal and spatial distribution ... ...

Abstract	Background: An ongoing monitoring of national and subnational trajectory of COVID-19 vaccine hesitancy could offer support in designing tailored policies on improving vaccine uptake. Objective: We aim to track the temporal and spatial distribution of COVID-19 vaccine hesitancy and confidence expressed on Twitter during the entire pandemic period in major English-speaking countries. Methods: We collected 5,257,385 English-language tweets regarding COVID-19 vaccination between January 1, 2020, and June 30, 2022, in 6 countries-the United States, the United Kingdom, Australia, New Zealand, Canada, and Ireland. Transformer-based deep learning models were developed to classify each tweet as intent to accept or reject COVID-19 vaccination and the belief that COVID-19 vaccine is effective or unsafe. Sociodemographic factors associated with COVID-19 vaccine hesitancy and confidence in the United States were analyzed using bivariate and multivariable linear regressions. Results: The 6 countries experienced similar evolving trends of COVID-19 vaccine hesitancy and confidence. On average, the prevalence of intent to accept COVID-19 vaccination decreased from 71.38% of 44,944 tweets in March 2020 to 34.85% of 48,167 tweets in June 2022 with fluctuations. The prevalence of believing COVID-19 vaccines to be unsafe continuously rose by 7.49 times from March 2020 (2.84% of 44,944 tweets) to June 2022 (21.27% of 48,167 tweets). COVID-19 vaccine hesitancy and confidence varied by country, vaccine manufacturer, and states within a country. The democrat party and higher vaccine confidence were significantly associated with lower vaccine hesitancy across US states. Conclusions: COVID-19 vaccine hesitancy and confidence evolved and were influenced by the development of vaccines and viruses during the pandemic. Large-scale self-generated discourses on social media and deep learning models provide a cost-efficient approach to monitoring routine vaccine hesitancy.
MeSH term(s)	Humans ; COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19 Vaccines/adverse effects ; COVID-19 Vaccines/therapeutic use ; Deep Learning ; Developed Countries ; Social Media ; Health Knowledge, Attitudes, Practice
Chemical Substances	COVID-19 Vaccines
Language	English
Publishing date	2023-11-06
Publishing country	Canada
Document type	Observational Study ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2028830-X
ISSN	1438-8871 ; 1438-8871
ISSN (online)	1438-8871
ISSN	1438-8871
DOI	10.2196/49753
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Article ; Online: Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries

Xinyu Zhou / Suhang Song / Ying Zhang / Zhiyuan Hou

Journal of Medical Internet Research, Vol 25, p e

Longitudinal Observational Study

2023 Volume 49753

Abstract: BackgroundAn ongoing monitoring of national and subnational trajectory of COVID-19 vaccine hesitancy could offer support in designing tailored policies on improving vaccine uptake. ObjectiveWe aim to track the temporal and spatial distribution of COVID- ... ...

Abstract	BackgroundAn ongoing monitoring of national and subnational trajectory of COVID-19 vaccine hesitancy could offer support in designing tailored policies on improving vaccine uptake. ObjectiveWe aim to track the temporal and spatial distribution of COVID-19 vaccine hesitancy and confidence expressed on Twitter during the entire pandemic period in major English-speaking countries. MethodsWe collected 5,257,385 English-language tweets regarding COVID-19 vaccination between January 1, 2020, and June 30, 2022, in 6 countries—the United States, the United Kingdom, Australia, New Zealand, Canada, and Ireland. Transformer-based deep learning models were developed to classify each tweet as intent to accept or reject COVID-19 vaccination and the belief that COVID-19 vaccine is effective or unsafe. Sociodemographic factors associated with COVID-19 vaccine hesitancy and confidence in the United States were analyzed using bivariate and multivariable linear regressions. ResultsThe 6 countries experienced similar evolving trends of COVID-19 vaccine hesitancy and confidence. On average, the prevalence of intent to accept COVID-19 vaccination decreased from 71.38% of 44,944 tweets in March 2020 to 34.85% of 48,167 tweets in June 2022 with fluctuations. The prevalence of believing COVID-19 vaccines to be unsafe continuously rose by 7.49 times from March 2020 (2.84% of 44,944 tweets) to June 2022 (21.27% of 48,167 tweets). COVID-19 vaccine hesitancy and confidence varied by country, vaccine manufacturer, and states within a country. The democrat party and higher vaccine confidence were significantly associated with lower vaccine hesitancy across US states. ConclusionsCOVID-19 vaccine hesitancy and confidence evolved and were influenced by the development of vaccines and viruses during the pandemic. Large-scale self-generated discourses on social media and deep learning models provide a cost-efficient approach to monitoring routine vaccine hesitancy.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Public aspects of medicine ; RA1-1270
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	JMIR Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Promote COVID-19 Vaccination for Older Adults in China.

Zang, Shujie / Zhang, Xu / Qu, Zhiqiang / Chen, Xi / Hou, Zhiyuan

China CDC weekly

2022 Volume 4, Issue 37, Page(s) 832–834

Language	English
Publishing date	2022-09-29
Publishing country	China
Document type	Journal Article
ISSN	2096-7071
ISSN (online)	2096-7071
DOI	10.46234/ccdcw2022.173
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Article ; Online: Effect of ion pair strategy on transdermal delivery of guanfacine: Which factor dominates drug permeation?

Hou, Zhiyuan / Shi, Difu / Lin, Jianing / Zhao, Xiangcheng / Zhang, Hailong / Ding, Jinsong

International journal of pharmaceutics

2024 Volume 652, Page(s) 123835

Abstract: Ion pair is an effective chemical approach to promoting drug transdermal permeation, and the traditional interpretation for its enhanced permeation effect is mainly attributed to counterions altering the physicochemical properties of the drug ( ... ...

Abstract	Ion pair is an effective chemical approach to promoting drug transdermal permeation, and the traditional interpretation for its enhanced permeation effect is mainly attributed to counterions altering the physicochemical properties of the drug (lipophilicity, melting point, etc.). In this work, guanfacine (GFC), a non-stimulant for anti-attention deficit and hyperactivity disorder (ADHD), was used as a model drug, and several organic or inorganic acids were designed thereby successfully constructing ion pairs. The transdermal permeation ability of ion pairs through isolated porcine skin was observed and ranked as follows: guanfacine caprylate (GFC-CA) > GFC > guanfacine laurate (GFC-LA) > guanfacine fumarate (GFC-FA) > guanfacine hydrochloride (GFC-HA) > guanfacine palmitate (GFC-PA). The effect of key physicochemical properties (octanol-water partition coefficient, molecular volume, melting point) on the transdermal permeation rate of the model drug was analyzed in detail. In addition, GFC-CA was observed to alter the lipid structure of the skin, suggesting the traditional explanation of the action of ion pair may be inadequate and underrated, and ion pair may also enhance permeation by disrupting skin structure. The intriguing phenomenon is expected to provide a novel approach to achieving precise transdermal drug delivery.
MeSH term(s)	Guanfacine/metabolism ; Guanfacine/pharmacology ; Skin Absorption ; Pharmaceutical Preparations/metabolism ; Administration, Cutaneous ; Skin/metabolism
Chemical Substances	Guanfacine (30OMY4G3MK) ; Pharmaceutical Preparations
Language	English
Publishing date	2024-01-21
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	428962-6
ISSN	1873-3476 ; 0378-5173
ISSN (online)	1873-3476
ISSN	0378-5173
DOI	10.1016/j.ijpharm.2024.123835
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Article ; Online: The role of mTORC1/TFEB axis mediated lysosomal biogenesis and autophagy impairment in fluoride neurotoxicity and the intervention effects of resveratrol.

Tang, Huayang / Hou, Haoqi / Song, Li / Tian, Zhiyuan / Liu, Wenhui / Xia, Tao / Wang, Aiguo

Journal of hazardous materials

2024 Volume 467, Page(s) 133634

Abstract: Elevated exposures to fluoride have been linked to neurological diseases. Identifying mechanisms of fluoride neurotoxicity and finding ways for prevention and treatment of epidemic fluorosis are important issues of public health. In this study, fluoride ... ...

Abstract	Elevated exposures to fluoride have been linked to neurological diseases. Identifying mechanisms of fluoride neurotoxicity and finding ways for prevention and treatment of epidemic fluorosis are important issues of public health. In this study, fluoride inhibited TFEB nuclear translocation by activating p-mTORC1/p-p70S6K, thus inhibiting lysosomal biogenesis, leading to dysfunctional lysosome accumulation, which further negatively affected autophagosome and lysosome fusion, thus impairing autophagy degradation, evidenced by the blocked conversion of LC3II to LC3I, and the increased p62 levels. Interestingly, RSV alleviated rats' cognition by improving fluoride-induced nerve damage and promoted lysosomal biogenesis demonstrated by the increased nucleus translocation of TFEB via inhibiting p-mTORC1 and p-p70S6K, the decreased expression of LC3II and p62. Collectively, we clarified the correlation between fluoride neurotoxicity and mTORC1/TFEB-mediated lysosomal biogenesis and autophagy. Meanwhile, RSV appeared to be a promising drug for the prevention and treatment of epidemic fluorosis.
MeSH term(s)	Animals ; Rats ; Fluorides/toxicity ; Resveratrol ; Ribosomal Protein S6 Kinases, 70-kDa ; Neurotoxicity Syndromes/drug therapy ; Neurotoxicity Syndromes/prevention & control ; Autophagy ; Lysosomes ; Mechanistic Target of Rapamycin Complex 1 ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors
Chemical Substances	Fluorides (Q80VPU408O) ; Resveratrol (Q369O8926L) ; Ribosomal Protein S6 Kinases, 70-kDa (EC 2.7.11.1) ; Mechanistic Target of Rapamycin Complex 1 (EC 2.7.11.1) ; TFEB protein, rat ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors
Language	English
Publishing date	2024-01-28
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1491302-1
ISSN	1873-3336 ; 0304-3894
ISSN (online)	1873-3336
ISSN	0304-3894
DOI	10.1016/j.jhazmat.2024.133634
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Factors Influencing Childhood Influenza Vaccination: A Systematic Review.

Han, Kaiyi / Hou, Zhiyuan / Tu, Shiyi / Liu, Mengyun / Chantler, Tracey / Larson, Heidi

Vaccines

2024 Volume 12, Issue 3

Abstract: Childhood influenza vaccination coverage remains low in lower/middle-income countries. This systematic review aims to identify influencing factors around childhood influenza vaccination. A systematic literature review was conducted and included empirical ...

Abstract	Childhood influenza vaccination coverage remains low in lower/middle-income countries. This systematic review aims to identify influencing factors around childhood influenza vaccination. A systematic literature review was conducted and included empirical studies with original data that investigated factors influencing childhood influenza vaccination. We searched MEDLINE, Web of Science, EMBASE, CINAHL Plus, Global Health, PsycINFO, and two Chinese databases, China Knowledge Resource Integrated Database and Chongqing VIP, using a combination of the key terms 'childhood', 'influenza', 'vaccination', and related syntax for all peer-reviewed publications published before December 2019. Thirty studies were included in the analysis. Childhood influenza vaccination was positively associated with caregivers' knowledge of influenza vaccine, positive vaccine attitudes, self-efficacy, perceived susceptibility and severity of influenza, believing in the efficacy of influenza vaccine, the worry of getting sick, healthcare workers' recommendations, and previous influenza vaccination experiences. Barriers included the fear of safety and side effects of the vaccine, as well as poor access to vaccination service. To improve childhood influenza vaccine uptake, health education is necessary to address caregivers' lack of confidence on vaccine safety. Future studies are needed to investigate influencing factors around healthcare workers' vaccination recommendation behaviors and the impact of contextual factors on public vaccination behaviors.
Language	English
Publishing date	2024-02-23
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2703319-3
ISSN	2076-393X
ISSN	2076-393X
DOI	10.3390/vaccines12030233
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Topologically convergent and divergent large scale complex networks among Alzheimer's disease spectrum patients: A systematic review.

Yang, Zhiyuan / Chen, Ya / Hou, Xinle / Xu, Yun / Bai, Feng

Heliyon

2023 Volume 9, Issue 4, Page(s) e15389

Abstract: Alzheimer's disease (AD) is associated with disruption at the level of a large-scale complex network. To explore the underlying mechanisms in the progression of AD, graph theory was used to quantitatively analyze the topological properties of structural ... ...

Abstract	Alzheimer's disease (AD) is associated with disruption at the level of a large-scale complex network. To explore the underlying mechanisms in the progression of AD, graph theory was used to quantitatively analyze the topological properties of structural and functional connections. Although an increasing number of studies have shown altered global and nodal network properties, little is known about the topologically convergent and divergent patterns between structural and functional networks among AD-spectrum patients. In this review, we summarized the topological patterns of the large-scale complex networks using multimodal neuroimaging graph theory analysis in AD spectrum patients. Convergent deficits in the connectivity characteristics were primarily in the default mode network (DMN) itself both in the structural and functional networks, while a divergent changes in the neighboring regions of the DMN were also observed between the patient groups. Together, the application of graph theory to large-scale complex brain networks provides quantitative insights into topological principles of brain network organization, which may lead to increasing attention in identifying the underlying neuroimaging pathological changes and predicting the progression of AD.
Language	English
Publishing date	2023-04-08
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e15389
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Article ; Online: A cross-sectional study from NHANES found a positive association between obesity with bone mineral density among postmenopausal women.

Yuan, Yu / Liao, Jiaxin / Luo, Zhiyuan / Li, Dingshuang / Hou, Lei

BMC endocrine disorders

2023 Volume 23, Issue 1, Page(s) 196

Abstract: Purpose: Obesity has been demonstrated to improve bone mineral density (BMD), according to previous research. Nevertheless, there is a dearth of clarity regarding the optimal body mass index (BMI) and waist circumference (WC) for achieving the highest ... ...

Abstract	Purpose: Obesity has been demonstrated to improve bone mineral density (BMD), according to previous research. Nevertheless, there is a dearth of clarity regarding the optimal body mass index (BMI) and waist circumference (WC) for achieving the highest beneficial BMD in postmenopausal women. The objective of this study was to establish the correlation between obesity and BMD. Methods: The relationship between BMI, WC, and BMD was examined by using multivariate logistic regression models, fitting smoothing curves and utilizing the latest data from the National Health and Nutrition Examination Survey (NHANES) survey conducted between 2007 and 2018. Furthermore, the analysis of saturation effects was employed to examine the association of nonlinear connections among BMI, WC, and BMD. Results: The research examined information from a combination of 564 participants. A significant correlation between BMD and BMI as well as WC was observed in our findings. The enduring correlation between BMI and WC with BMD was demonstrated across subgroup analyses categorized by age and race, except among other Hispanic and other race. Furthermore, the smoothing curve fitting indicated that there existed not just a linear correlation among BMI, WC, and BMD, but also a saturation threshold in the association of these three factors. Conclusions: Based on our study, we have found a strong and positive relationship between obesity and BMD. According to the results of this research, maintaining obesity at a moderate level in postmenopausal women would result in achieving an optimal equilibrium between obesity and BMD.
MeSH term(s)	Female ; Humans ; Nutrition Surveys ; Cross-Sectional Studies ; Bone Density ; Postmenopause ; Obesity/complications ; Obesity/epidemiology
Language	English
Publishing date	2023-09-13
Publishing country	England
Document type	Journal Article
ZDB-ID	2091323-0
ISSN	1472-6823 ; 1472-6823
ISSN (online)	1472-6823
ISSN	1472-6823
DOI	10.1186/s12902-023-01444-w
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