scholarly journals Chlorogenic acid: A comprehensive review of the dietary sources, processing effects, bioavailability, beneficial properties, mechanisms of action, and future directions

2020 ◽  
Vol 19 (6) ◽  
pp. 3130-3158
Author(s):  
Huijie Lu ◽  
Zhimei Tian ◽  
Yiyan Cui ◽  
Zhichang Liu ◽  
Xianyong Ma
Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1360
Author(s):  
Felix Zulhendri ◽  
Kavita Chandrasekaran ◽  
Magdalena Kowacz ◽  
Munir Ravalia ◽  
Krishna Kripal ◽  
...  

Propolis is a complex phytocompound made from resinous and balsamic material harvested by bees from flowers, branches, pollen, and tree exudates.Humans have used propolis therapeutically for centuries. The aim of this article is to provide comprehensive review of the antiviral, antibacterial, antifungal, and antiparasitic properties of propolis. The mechanisms of action of propolis are discussed. There are two distinct impacts with regards to antimicrobial and anti-parasitic properties of propolis, on the pathogens and on the host. With regards to the pathogens, propolis acts by disrupting the ability of the pathogens to invade the host cells by forming a physical barrier and inhibiting enzymes and proteins needed for invasion into the host cells. Propolis also inhibits the replication process of the pathogens. Moreover, propolis inhibits the metabolic processes of the pathogens by disrupting cellular organelles and components responsible for energy production. With regard to the host, propolis functions as an immunomodulator. It upregulates the innate immunity and modulates the inflammatory signaling pathways. Propolis also helps maintain the host’s cellular antioxidant status. More importantly, a small number of human clinical trials have demonstrated the efficacy and the safety of propolis as an adjuvant therapy for pathogenic infections.


2018 ◽  
Vol 20 (3) ◽  
pp. 2101-2132 ◽  
Author(s):  
Santosh Pattar ◽  
Rajkumar Buyya ◽  
K. R. Venugopal ◽  
S. S. Iyengar ◽  
L. M. Patnaik

Author(s):  
Zhui Ken Bok ◽  
Manisha Balakrishnan ◽  
Yong Xin Jong ◽  
Yew Rong Kong ◽  
Kooi Yeong Khaw ◽  
...  

Dengue is a serious health endemic with a prediction that 2.5 billion are at risk of acquiring dengue infection and 50 million are infected yearly. Over the years, tremendous effort has been done to develop potential treatment for dengue infection. However, to no avail, most of the treatment modalities have failed in clinical evaluation and trials. With the lack of treatment for dengue infection, home remedies have been widely used as a belief to relieve the symptoms, one of them is the use of papaya leaf juice. This review provides a recent evidences and research that have been attempted to unravel the mechanism of actions of papaya leaf extract to treat dengue infection. Up to date, there are three main mechanisms that have been proposed, which are the anti-thrombocytopenic, immunomodulatory and anti-viral effect of papaya leaf juice extract.


2012 ◽  
Vol 2012 ◽  
pp. 1-20 ◽  
Author(s):  
Gulshan Kumar ◽  
Krishan Kumar

In supervised learning-based classification, ensembles have been successfully employed to different application domains. In the literature, many researchers have proposed different ensembles by considering different combination methods, training datasets, base classifiers, and many other factors. Artificial-intelligence-(AI-) based techniques play prominent role in development of ensemble for intrusion detection (ID) and have many benefits over other techniques. However, there is no comprehensive review of ensembles in general and AI-based ensembles for ID to examine and understand their current research status to solve the ID problem. Here, an updated review of ensembles and their taxonomies has been presented in general. The paper also presents the updated review of various AI-based ensembles for ID (in particular) during last decade. The related studies of AI-based ensembles are compared by set of evaluation metrics driven from (1) architecture & approach followed; (2) different methods utilized in different phases of ensemble learning; (3) other measures used to evaluate classification performance of the ensembles. The paper also provides the future directions of the research in this area. The paper will help the better understanding of different directions in which research of ensembles has been done in general and specifically: field of intrusion detection systems (IDSs).


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