scholarly journals Discovery of Selenocysteine as a Potential Nanomedicine Promotes Cartilage Regeneration With Enhanced Immune Response by Text Mining and Biomedical Databases

2020 ◽  
Vol 11 ◽  
Author(s):  
Jing Ye ◽  
Bingbing Xu ◽  
Baoshi Fan ◽  
Jiying Zhang ◽  
Fuzhen Yuan ◽  
...  
Keyword(s):  
Immune Response ◽  
Text Mining ◽  
Cartilage Regeneration ◽  
Biomedical Databases

scholarly journals Drug discovery in rheumatoid arthritis with joint effusion identified by text mining and biomedical databases

2021 ◽  
Vol 10 (13) ◽  
pp. 20-20
Author(s):  
Zhuo Li ◽  
Jun Fu ◽  
Yalei Cao ◽  
Chi Xu ◽  
Xinli Han ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Drug Discovery ◽  
Text Mining ◽  
Joint Effusion ◽  
Biomedical Databases

Retrospective and prospective approaches of coronavirus publications in the last half-century: a Latent Dirichlet allocation analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farshid Danesh ◽  
Meisam Dastani ◽  
Mohammad Ghorbani
Keyword(s):  
Immune Response ◽  
Text Mining ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Statistical Population ◽  
Content Type ◽  
Number Of Publications ◽  
Python Programming ◽  
Mining Algorithms ◽  
Dirichlet Allocation

PurposeThe present article's primary purpose is the topic modeling of the global coronavirus publications in the last 50 years.Design/methodology/approachThe present study is applied research that has been conducted using text mining. The statistical population is the coronavirus publications that have been collected from the Web of Science Core Collection (1970–2020). The main keywords were extracted from the Medical Subject Heading browser to design the search strategy. Latent Dirichlet allocation and Python programming language were applied to analyze the data and implement the text mining algorithms of topic modeling.FindingsThe findings indicated that the SARS, science, protein, MERS, veterinary, cell, human, RNA, medicine and virology are the most important keywords in the global coronavirus publications. Also, eight important topics were identified in the global coronavirus publications by implementing the topic modeling algorithm. The highest number of publications were respectively on the following topics: “structure and proteomics,” “Cell signaling and immune response,” “clinical presentation and detection,” “Gene sequence and genomics,” “Diagnosis tests,” “vaccine and immune response and outbreak,” “Epidemiology and Transmission” and “gastrointestinal tissue.”Originality/valueThe originality of this article can be considered in three ways. First, text mining and Latent Dirichlet allocation were applied to analyzing coronavirus literature for the first time. Second, coronavirus is mentioned as a hot topic of research. Finally, in addition to the retrospective approaches to 50 years of data collection and analysis, the results can be exploited with prospective approaches to strategic planning and macro-policymaking.

Computational Drug Discovery in Chemotherapy-induced Alopecia via Text Mining and Biomedical Databases

2019 ◽  
Vol 41 (5) ◽  
pp. 972-980.e8
Author(s):  
Nanyang Zhang ◽  
Wenbing Xu ◽  
Shijie Wang ◽  
Yan Qiao ◽  
Xiaoxiao Zhang
Keyword(s):  
Drug Discovery ◽  
Text Mining ◽  
Computational Drug Discovery ◽  
Biomedical Databases

Humoral and cellular immune response to a crude exo-antigen and purified keratinase of Microsporum canis in experimentally infected guinea pigs

1999 ◽  
Vol 37 (2) ◽  
pp. 123-129 ◽  
Author(s):  
B. R. Mignon ◽  
T. Leclipteux ◽  
CH. Focant ◽  
A. J. Nikkels ◽  
G. E. PIErard ◽  
...  
Keyword(s):  
Immune Response ◽  
Cellular Immune Response ◽  
Guinea Pigs ◽  
Microsporum Canis ◽  
Cellular Immune

Abstract #418: Effect of Testosterone (T) Replacement with a T-Gel or a New Oral T Formulation (Rextoro) on Selected Biomarkers of Endothelial Injury and Immune Response to Lipids

2015 ◽  
Vol 21 ◽  
pp. 93
Author(s):  
Merrell Magelli ◽  
Ronald Swerdloff ◽  
John Amory ◽  
Gregory Flippo ◽  
Wael Salameh ◽  
...  
Keyword(s):  
Immune Response ◽  
Endothelial Injury

Author response for "Diabetes alters immune response patterns to acute melioidosis in humans"

2019 ◽  
Author(s):  
Barbara Kronsteiner ◽  
Panjaporn Chaichana ◽  
Manutsanun Sumonwiriya ◽  
Kemajitra Jenjaroen ◽  
Fazle Rabbi Chowdhury ◽  
...  
Keyword(s):  
Immune Response ◽  
Author Response ◽  
Response Patterns

The humoral and cellular immune response of sheep against Borna disease virus in endemic and non-endemic areas

2004 ◽  
Vol 146 (4) ◽  
pp. 159-172 ◽  
Author(s):  
D. Müller-Doblies ◽  
S. Baumann ◽  
P. Grob ◽  
A. Hülsmeier ◽  
U. Müller-Doblies ◽  
...  
Keyword(s):  
Immune Response ◽  
Disease Virus ◽  
Cellular Immune Response ◽  
Borna Disease Virus ◽  
Endemic Areas ◽  
Cellular Immune ◽  
Borna Disease

Oral Immune Activation by Disgust and Disease-Related Pictures

2015 ◽  
Vol 29 (3) ◽  
pp. 119-129 ◽  
Author(s):  
Richard J. Stevenson ◽  
Deborah Hodgson ◽  
Megan J. Oaten ◽  
Luba Sominsky ◽  
Mehmet Mahmut ◽  
...  
Keyword(s):  
Immune Response ◽  
Immune Responses ◽  
Innate Immune Response ◽  
Negative Control ◽  
Innate Immune ◽  
Innate Immune Responses ◽  
Immune Markers ◽  
Before And After ◽  
Secondary Analyses ◽  
Image Set

Abstract. Both disgust and disease-related images appear able to induce an innate immune response but it is unclear whether these effects are independent or rely upon a common shared factor (e.g., disgust or disease-related cognitions). In this study we directly compared these two inductions using specifically generated sets of images. One set was disease-related but evoked little disgust, while the other set was disgust evoking but with less disease-relatedness. These two image sets were then compared to a third set, a negative control condition. Using a wholly within-subject design, participants viewed one image set per week, and provided saliva samples, before and after each viewing occasion, which were later analyzed for innate immune markers. We found that both the disease related and disgust images, relative to the negative control images, were not able to generate an innate immune response. However, secondary analyses revealed innate immune responses in participants with greater propensity to feel disgust following exposure to disease-related and disgusting images. These findings suggest that disgust images relatively free of disease-related themes, and disease-related images relatively free of disgust may be suboptimal cues for generating an innate immune response. Not only may this explain why disgust propensity mediates these effects, it may also imply a common pathway.

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