An evaluation of the emergence of drug resistant virus for HIV/AIDS drug treatments

2015 ◽  
Author(s):  
Hyuk-Jun Chang
Keyword(s):  
Drug Resistant ◽  
Resistant Virus ◽  
Drug Treatments ◽  
Drug Resistant Virus ◽  
Hiv Aids

Primarily oseltamivir resistant influenza A (H1N1pdm09) virus evolving into a multi-drug resistant virus carrying H275Y and I223R neuraminidase substitutions

2014 ◽  
Vol 20 (1) ◽  
pp. 97-100 ◽  
Author(s):  
Sebastian Grund ◽  
Charikleia Gkioule ◽  
Tahani Termos ◽  
Nico Pfeifer ◽  
Guido Kobbe ◽  
...  
Keyword(s):  
Influenza A ◽  
Drug Resistant ◽  
Resistant Virus ◽  
Drug Resistant Virus

Low frequency of drug-resistant virus did not affect the therapeutic efficacy in daclatasvir plus asunaprevir therapy in patients with chronic HCV genotype 1 infection

2015 ◽  
Vol 21 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Hideaki Kinugasa ◽  
Fusao Ikeda ◽  
Kouichi Takaguchi ◽  
Chizuru Mori ◽  
Takehiro Matsubara ◽  
...  
Keyword(s):  
Therapeutic Efficacy ◽  
Low Frequency ◽  
Drug Resistant ◽  
Resistant Virus ◽  
Genotype 1 ◽  
Hcv Genotype ◽  
Hcv Genotype 1 ◽  
Chronic Hcv ◽  
Drug Resistant Virus

scholarly journals Drug-Resistant Virus Has Reduced Ability to Induce Immune Activation

2012 ◽  
Vol 61 (4) ◽  
pp. e60-e63 ◽  
Author(s):  
Rui Wang ◽  
Ronald J. Bosch ◽  
Constance A. Benson ◽  
Michael M. Lederman
Keyword(s):  
Immune Activation ◽  
Drug Resistant ◽  
Resistant Virus ◽  
Drug Resistant Virus

DYNAMICAL MODEL OF IN-HOST HIV INFECTION: WITH DRUG THERAPY AND MULTI VIRAL STRAINS

2012 ◽  
Vol 20 (03) ◽  
pp. 303-325 ◽  
Author(s):  
PRASHANT K. SRIVASTAVA ◽  
MALAY BANERJEE ◽  
PEEYUSH CHANDRA
Keyword(s):  
Mathematical Model ◽  
Drug Therapy ◽  
Reverse Transcription ◽  
Resistant Strain ◽  
Threshold Value ◽  
Drug Resistant ◽  
Virus Population ◽  
Resistant Virus ◽  
Virus Strains ◽  
Drug Resistant Virus

In this paper, a mathematical model for the effect of drug therapy on the in-host dynamics of HIV is considered and analyzed. As the process of reverse transcription is highly error prone, it causes mutation of virus which results in the emergence of drug resistant virus. This is also accounted in the model and corresponding model with both drug resistant and drug sensitive viral strains is studied. We found that, if reproductive ratios for both the strains are less than one, the virus population goes to extinction. If the reproductive ratio of either strain is greater than one and the reproductive ratio of drug resistant virus is smaller than that of drug sensitive virus then both the virus strains persist and infection is not cleared. However if reproductive ratio of drug resistant virus is greater than that of drug sensitive virus then the drug resistant virus out-competes the drug sensitive virus and only drug resistant virus survives. Hence the ratio of two reproduction ratios works as invading capacity threshold value for drug resistant strain. We also noted that by increasing the effective efficacy of the drug, virus may be cleared. Numerical simulations are performed to support and elaborate the analytical findings.

scholarly journals Emergence of influenza A(H1N1)pdm09 genogroup 6B and drug resistant virus, India, January to May 2015

2016 ◽  
Vol 21 (5) ◽  
Author(s):  
Manmohan Parida ◽  
Paban Kumar Dash ◽  
Jyoti S Kumar ◽  
Gaurav Joshi ◽  
Kundan Tandel ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Influenza A ◽  
The State ◽  
Drug Resistant ◽  
Resistant Virus ◽  
New Mutation ◽  
Influenza Outbreak ◽  
Influenza A H1n1 ◽  
H275y Mutation ◽  
Drug Resistant Virus

To investigate the aetiology of the 2015 A(H1N1)pdm09 influenza outbreak in India, 1,083 nasopharyngeal swabs from suspect patients were screened for influenza A(H1N1)pdm09 in the state of Madhya Pradesh. Of 412 positive specimens, six were further characterised by phylogenetic analysis of haemagglutinin (HA) sequences revealing that they belonged to genogroup 6B. A new mutation (E164G) was observed in HA2 of two sequences. Neuraminidase genes in two of 12 isolates from fatal cases on prior oseltamivir treatment harboured the H275Y mutation.

scholarly journals Quantitative Analysis of a Parasitic Antiviral Strategy

2004 ◽  
Vol 48 (3) ◽  
pp. 1017-1020 ◽  
Author(s):  
Hwijin Kim ◽  
John Yin
Keyword(s):  
Computer Simulation ◽  
Parasite Growth ◽  
Drug Resistant ◽  
Resistant Virus ◽  
Intracellular Growth ◽  
Virus Growth ◽  
Wide Range ◽  
Viral Replicase ◽  
Virus Strains ◽  
Drug Resistant Virus

ABSTRACT We extended a computer simulation of viral intracellular growth to study a parasitic antiviral strategy that diverts the viral replicase toward parasite growth. This strategy inhibited virus growth over a wide range of conditions, while minimizing host cell perturbations. Such parasitic strategies may inhibit the development of drug-resistant virus strains.

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