Background: The World Health Organization seeks to achieve the goal of viral hepatitis elimination by 2030 and lack of general knowledge about viral hepatitis seems to be a barrier to reaching this goal. This study was designed to evaluate the knowledge, attitude, and practice (KAP) regarding hepatitis B virus (HBV) and hepatitis C virus (HCV) infections among Iranian health sciences students in 12 Iranian medical sciences universities using a national survey.
Methods: This survey was conducted during the second Hepatitis Awareness Campaign, which was held during the Iranian National Hepatitis Week (October 22-28, 2016). Students who visited our booths and were willing to participate in our survey were selected using convenience sampling and their HBV- and HCV-related KAP were evaluated.
Results: Two thousand one hundred fifty-six health sciences students with mean age of 21.24 years participated in our survey. The mean KAP scores were 7.35 (out of 10), 4.88 (possible score, -20 to +20), and 5.67 (out of 9). Students with experience of accidental exposures to blood (21.6%) had better KAP scores compared with the students without such experiences. The mean KAP scores were associated with subjects' year of education, field of study, university, and province (P < .05).
Conclusions: Our study showed that HBV- and HCV-related KAP in a sample of Iranian health sciences students was not satisfying. The results also demonstrated priority of needing intervention regarding KAP in some subject areas, lower years of education, and some universities compared with others.
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http://dx.doi.org/10.1016/j.ajic.2017.07.012 | DOI Listing |
Background: The autophagy lysosomal pathway (ALP) and the ubiquitin-proteasome system (UPS) are key proteostasis mechanisms in cells, which are dysfunctional in AD and linked to protein aggregation and neuronal death. Autophagy is over activated in Alzheimer's disease brain whereas UPS is severely impaired. Activating autophagy has received most attention, however recent evidence suggests that UPS can clear aggregate proteins and a potential therapeutic target for AD and protein misfolding diseases.
View Article and Find Full Text PDFBackground: Our previous study identified that Sildenafil (a phosphodiesterase type 5 [PDE5] inhibitor) is a candidate repurposable drug for Alzheimer's Disease (AD) using in silico network medicine approach. However, the clinically meaningful size and mechanism-of-actions of sildenafil in potential prevention and treatment of AD remind unknown.
Method: We conducted new patient data analyses using both the MarketScan® Medicare with Supplemental database (n = 7.
Alzheimers Dement
December 2024
The University of Texas Health Science Center at Houston, Houston, TX, USA.
Background: Developing drugs for treating Alzheimer's disease (AD) has been extremely challenging and costly due to limited knowledge on underlying biological mechanisms and therapeutic targets. Repurposing drugs or their combination has shown potential in accelerating drug development due to the reduced drug toxicity while targeting multiple pathologies.
Method: To address the challenge in AD drug development, we developed a multi-task machine learning pipeline to integrate a comprehensive knowledge graph on biological/pharmacological interactions and multi-level evidence on drug efficacy, to identify repurposable drugs and their combination candidates RESULT: Using the drug embedding from the heterogeneous graph representation model, we ranked drug candidates based on evidence from post-treatment transcriptomic patterns, mechanistic efficacy in preclinical models, population-based treatment effect, and Phase 2/3 clinical trials.
Alzheimers Dement
December 2024
Case Western Reserve University, Cleveland, OH, USA.
Background: Traumatic Brain Injury (TBI) is one of the most common nonheritable causes of Alzheimer's disease (AD). However, there is lack of effective treatment for both AD and TBI. We posit that network-based integration of multi-omics and endophenotype disease module coupled with large real-world patient data analysis of electronic health records (EHR) can help identify repurposable drug candidates for the treatment of TBI and AD.
View Article and Find Full Text PDFBackground: Selecting the optimal dose for clinical development is especially problematic for drugs directed at CNS-specific targets. For drugs with a novel mechanism of action, these problems are often greater. We describe Xanamem's clinical pharmacology, including the approach to dose selection and proof-of-concept studies.
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