Isozyme specific drug oxidation: Genetic polymorphism and drug-drug interactions

1993 ◽  
Vol 47 (sup30) ◽  
pp. 21-26 ◽  
Author(s):  
Kim Brøsen
Keyword(s):  
Genetic Polymorphism ◽  
Drug Interactions ◽  
Specific Drug ◽  
Drug Oxidation

Risk factors in elderly taking psychotropic drugs: Significance of genetic polymorphism in drug oxidation

1993 ◽  
Vol 47 (sup28) ◽  
pp. 85-89 ◽  
Author(s):  
Lars F. Gram ◽  
Kim Brøsen ◽  
Søren H. Sindrup ◽  
Erik Skjelbo
Keyword(s):  
Risk Factors ◽  
Genetic Polymorphism ◽  
Psychotropic Drugs ◽  
Drug Oxidation

Specific drug interactions in anaesthesia.

Anaesthesia ◽  
1978 ◽  
Vol 33 (7) ◽  
pp. 642-643
Author(s):  
C.D.D. Hutter
Keyword(s):  
Drug Interactions ◽  
Specific Drug

scholarly journals Investigating drug–target interactions in frontotemporal dementia using a network pharmacology approach

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Archana Balasubramanian ◽  
Raksha Sudarshan ◽  
Jhinuk Chatterjee
Keyword(s):  
Substance Abuse ◽  
Targeted Therapy ◽  
Drug Interactions ◽  
Protein Interaction Network ◽  
Interaction Network ◽  
Network Pharmacology ◽  
Specific Drug ◽  
Protein Protein Interaction ◽  
App Gene ◽  
Protein Protein Interaction Network

Abstract Background Frontotemporal dementia (FTD) is the second most common type of dementia in individuals aged below 65 years with no current cure. Current treatment plan is the administration of multiple medications. This has the issue of causing adverse effects due to unintentional drug–drug interactions. Therefore, there exists an urgent need to propose a novel targeted therapy that can maximize the benefits of FTD-specific drugs while minimizing its associated adverse side effects. In this study, we implemented the concept of network pharmacology to understand the mechanism underlying FTD and highlight specific drug–gene and drug–drug interactions that can provide an interesting perspective in proposing a targeted therapy against FTD. Results We constructed protein–protein, drug–gene and drug–drug interaction networks to identify highly connected nodes and analysed their importance in associated enriched pathways. We also performed a historeceptomics analysis to determine tissue-specific drug interactions. Through this study, we were able to shed light on the APP gene involved in FTD. The APP gene which was previously known to cause FTD cases in a small percentage is now being extensively studied owing to new reports claiming its participation in neurodegeneration. Our findings strengthen this hypothesis as the APP gene was found to have the highest node degree and betweenness centrality in our protein–protein interaction network and formed an essential hub node between disease susceptibility genes and neuroactive ligand–receptors. Our findings also support the study of FTD being presented as a case of substance abuse. Our protein–protein interaction network highlights the target genes common to substance abuse (nicotine, morphine and cocaine addiction) and neuroactive ligand–receptor interaction pathways, therefore validating the cognitive impairment caused by substance abuse as a symptom of FTD. Conclusions Our study abandons the one-target one-drug approach and uses networks to define the disease mechanism underlying FTD. We were able to highlight important genes and pathways involved in FTD and analyse their relation with existing drugs that can provide an insight into effective medication management.

Evaluation of Drug Interaction Document Citation in Nine On-Line Bibliographic Databases

1997 ◽  
Vol 31 (1) ◽  
pp. 45-49 ◽  
Author(s):  
Marine J Barillot ◽  
Bernard Sarrut ◽  
Christian G Doreau
Keyword(s):  
Case Report ◽  
Drug Interactions ◽  
The Other ◽  
Second Step ◽  
Bibliographic Databases ◽  
Specific Drug ◽  
Outcomes Measures ◽  
Significant Difference ◽  
Relevant Reference ◽  
On Line

OBJECTTVE: To compare nine on-line bibliographic databases to obtain bibliographic references on specific drug interactions. DESIGN: Seven bibliographic databases were selected for their ability to provide information concerning drug interactions: EMBASE, MEDLINE, TOXLINE, BIOSIS, Chemical Abstracts (CAS), PHARMLINE, and International Pharmaceutical Abstracts (IPA). Two French on-line bibliographic databases (i.e., PASCAL, BIBLIOGRAPHIF) were also tested to compare them with the other international databases. Twenty drug interactions were selected randomly using the journal Reactions Weekly 1993. MAIN OUTCOMES MEASURES: The total number of references, the number of potentially relevant references, the number of case report references, the number of unique references in the total number of references, and the number of unique references between potentially relevant references were analyzed by using the Friedman two-way ANOVA by ranks. For each database, relevance and relative recall were calculated. RESULTS: For the total number of references, EMBASE was significantly more comprehensive than all other databases (p < 0.05). EMBASE had a significantly greater number of potentially relevant references than IPA, PHARMLINE, CAS, and BIBLIOGRAPHIF (p < 0.05). For the total number of case report references, only one significant difference, between EMBASE and BIBLIOGRAPHIF (p < 0.05), was observed. MEDLINE and TOXLINE had the lowest cost per potentially relevant reference. CONCLUSIONS: To obtain bibliographic references on drug interactions, the first step should be to search MEDLINE or TOXLINE; the second step, for completeness, should be to search EMBASE.

Pharmacokinetics of Fluvastatin and Specific Drug Interactions

1993 ◽  
Vol 6 (11 Pt 2) ◽  
pp. 375S-382S ◽  
Author(s):  
H. T. Smith ◽  
L. A. Jokubaitis ◽  
A. J. Troendle ◽  
D. S. Hwang ◽  
W. T. Robinson
Keyword(s):  
Drug Interactions ◽  
Specific Drug
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