#cyp450

The main ones can be remembered using "CRAP GPs spend all day on SICKFACES.COM".

Cytochrome P450 Inducers

These induce CYP450 activity, and thus reduce the concentration of drugs which are metabolised by this system.

Carbemazepine Rifampicin Alcohol (chronic use) Phenytoin Griseofulvin Phenobarbitone Sulphonylureas, St John's Wort, Smoking

Also topiramate.

Cytochrome P450 Inhibitors

These inhibit CYP450 enzyme activity and thus increase the concentration of drugs which are metabolised by this system.

Sodium valproate Isoniazid Cimetidine Ketoconazole Fluconazole Alcohol (acute use), Amiodarone, Allopurinol Chloramphenicol Erythromycin Sulfonamides, SSRIs Ciprofloxacin Omeprazole Metronidazole

Also grapefruit, cranberry juice, diltiazem, verapamil, clarithromycin.

Common Interactions

Medications which commonly interact with CYP450 inhibitors and inducers are:

Warfarin

Phenytoin

Combined Oral Contraceptive Pill (COCP)

Theophylline

Corticosteroids

Tricyclic antidepressants

Statins

Lamotrigine

Possibility of occurrence of drug interactions increases with the number of drugs administered. Drug interactions can be classified in a number of ways using different basis as well as terminology. Drugs may interact with other drugs, foods, beverages, contrast media, and herbs; outside or inside the body. The term “drug-condition interaction” is sometimes used when the existing medical condition makes certain drugs potentially harmful. Knowledge of In vitro interactions is essential to avoid loss of activity of drugs before administration. Although every theoretical drug interaction may not manifest in practice, “drug interactions” is a prominent cause of adverse or undesired events related to drug administration or treatment failure. Amongst the herbs, St. John’s wort has a potential of producing significant drug interactions due to its capacity to induce metabolism of number of drugs. In vivo interactions at pharmacokinetic level affect absorption, distribution, biotransformation or excretion of drugs. Induction or inhibition of cytochrome P450 (CYP450) enzymes forms a major basis of drug interactions. As compared to induction, inhibition is a fairly rapid process. Number of precipitant drugs which inhibit the metabolism is much more than those that produce induction of enzymes; hence inhibition of metabolism may lead to serious and acute adverse events by aggravating the toxicity of substrate drugs. Role of drug transporters, especially P-glycoprotein (P-gp), in causation of drug interactions is being increasingly identified. P-gp affects absorption, distribution and excretion, and hence plays a major role in pharmacokinetic drug interactions. Additionally, P-gp works hand in hand with CYP450 enzymes. In pharmacodynamic interactions, the drugs synergise or antagonise the effects at the level of target of  action. Clinically  beneficial  and reparative  drug  interactions are explored to obtain useful drug combinations. Interactions of drugs with contrast media should be remembered and carefully prevented. Extensive research has led to the development of a large number of In vitro and In vivo methods to detect and predict drug interactions.“Drug interaction softwares” is an additional and significant tool for analysis and prediction of probable drug interactions. Appropriate awareness and knowledge of possible drug interactions is crucial in prevention of harmful drug interactions and their consequences.

Author(s) Details

Dr. Madhav Mutalik (MBBS, MD (Pharmacology), MBA) Professor and Head, Departmentof Pharmacology, D Y Patil Dental School,Pune, India.

Read full article: http://bp.bookpi.org/index.php/bpi/catalog/view/47/234/399-1

Computational prediction of damage associated non synonymous SNPs of CYP17A1 and CYP19A1 gene

By Richa Bhatnager | Ranjeet Kaur | Amita Suneja Dang | Twinkle Dahiya"Computational prediction of damage associated non synonymous SNPs of CYP17A1 and CYP19A1 gene" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, 

URL: http://www.ijtsrd.com/papers/ijtsrd3581.pdf  

http://www.ijtsrd.com/biological-science/biotechnology/3581/computational-prediction-of-damage-associated-non-synonymous-snps-of-cyp17a1-and-cyp19a1-gene/richa-bhatnager

multidisciplinary journal, call for paper life sciences, ugc approved management journal

Isolating Replicant/Vyborg with motabolism tests @heyASIO @deptdefence

Originally when I wrote this blog in the same bat time, same bat channel there was a glip and it wasn’t read by many that collapse the co-linear corridor of history here at this point the timing bell doing this has been collapsed behind us by the removal and relocation of a fossil called here the ayasease fossil which some system in this is dependant on. At first I was under the assumption it…