scholarly journals Transmission networks of drug resistance acquired in primary/early stage HIV infection

AIDS ◽  
2008 ◽  
Vol 22 (18) ◽  
pp. 2509-2515 ◽  
Author(s):  
Bluma G Brenner ◽  
Michel Roger ◽  
Daniela D Moisi ◽  
Maureen Oliveira ◽  
Isabelle Hardy ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Hiv Infection ◽  
Early Stage ◽  
Transmission Networks

scholarly journals Stochastic investigation of HIV infection and the emergence of drug resistance

2021 ◽  
Vol 19 (2) ◽  
pp. 1174-1194
Author(s):  
Damilola Olabode ◽  
◽  
Libin Rong ◽  
Xueying Wang ◽  
Keyword(s):  
Drug Resistance ◽  
Antiretroviral Therapy ◽  
Hiv Infection ◽  
Stochastic Models ◽  
Early Stage ◽  
Critical Role ◽  
Resistance Mutations ◽  
Multitype Branching Process ◽  
Increased Risk ◽  
Hiv 1

<abstract><p>Drug-resistant HIV-1 has caused a growing concern in clinic and public health. Although combination antiretroviral therapy can contribute massively to the suppression of viral loads in patients with HIV-1, it cannot lead to viral eradication. Continuing viral replication during sub-optimal therapy (due to poor adherence or other reasons) may lead to the accumulation of drug resistance mutations, resulting in an increased risk of disease progression. Many studies also suggest that events occurring during the early stage of HIV-1 infection (i.e., the first few hours to days following HIV exposure) may determine whether the infection can be successfully established. However, the numbers of infected cells and viruses during the early stage are extremely low and stochasticity may play a critical role in dictating the fate of infection. In this paper, we use stochastic models to investigate viral infection and the emergence of drug resistance of HIV-1. The stochastic model is formulated by a continuous-time Markov chain (CTMC), which is derived based on an ordinary differential equation model proposed by Kitayimbwa et al. that includes both forward and backward mutations. An analytic estimate of the probability of the clearance of HIV infection of the CTMC model near the infection-free equilibrium is obtained by a multitype branching process approximation. The analytical predictions are validated by numerical simulations. Unlike the deterministic dynamics where the basic reproduction number $ \mathcal{R}_0 $ serves as a sharp threshold parameter (i.e., the disease dies out if $ \mathcal{R}_0 &lt; 1 $ and persists if $ \mathcal{R}_0 &gt; 1 $), the stochastic models indicate that there is always a positive probability for HIV infection to be eradicated in patients. In the presence of antiretroviral therapy, our results show that the chance of clearance of the infection tends to increase although drug resistance is likely to emerge.</p></abstract>

scholarly journals Symptom and Age Homophilies in SARS-CoV-2 Transmission Networks during the Early Phase of the Pandemic in Japan

Biology ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 499
Author(s):  
Ali Andalibi ◽  
Naoru Koizumi ◽  
Meng-Hao Li ◽  
Abu Bakkar Siddique
Keyword(s):  
Early Stage ◽  
Graph Model ◽  
Initial Response ◽  
Contact Tracing ◽  
Pcr Analysis ◽  
Exponential Random Graph Model ◽  
Transmission Networks ◽  
Random Graph Model ◽  
Healthcare Settings ◽  
Exponential Random Graph

Kanagawa and Hokkaido were affected by COVID-19 in the early stage of the pandemic. Japan’s initial response included contact tracing and PCR analysis on anyone who was suspected of having been exposed to SARS-CoV-2. In this retrospective study, we analyzed publicly available COVID-19 registry data from Kanagawa and Hokkaido (n = 4392). Exponential random graph model (ERGM) network analysis was performed to examine demographic and symptomological homophilies. Age, symptomatic, and asymptomatic status homophilies were seen in both prefectures. Symptom homophilies suggest that nuanced genetic differences in the virus may affect its epithelial cell type range and can result in the diversity of symptoms seen in individuals infected by SARS-CoV-2. Environmental variables such as temperature and humidity may also play a role in the overall pathogenesis of the virus. A higher level of asymptomatic transmission was observed in Kanagawa. Moreover, patients who contracted the virus through secondary or tertiary contacts were shown to be asymptomatic more frequently than those who contracted it from primary cases. Additionally, most of the transmissions stopped at the primary and secondary levels. As expected, significant viral transmission was seen in healthcare settings.

scholarly journals Transmitted drug resistance to Tenofovir/Emtricitabine among persons with newly diagnosed HIV infection in Shenyang city, Northeast China from 2016 to 2018

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhen Wang ◽  
Bin Zhao ◽  
Minghui An ◽  
Wei Song ◽  
Xue Dong ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Hiv Infection ◽  
Northeast China ◽  
Transmitted Drug Resistance ◽  
Newly Diagnosed ◽  
Resistance Mutations ◽  
Shenyang City ◽  
Subtype B ◽  
Recent Hiv Infection ◽  
Hiv 1

Abstract Background To assess transmitted drug resistance (TDR) to tenofovir (TDF)/emtricitabine (FTC), using as pre-exposure prophylaxis, among newly diagnosed human immunodeficiency virus-1 (HIV-1)-infected residents in Shenyang city, northeast China. Methods Demographic and epidemiological information of all newly diagnosed HIV-1 infected residents in Shenyang city from 2016 to 2018 were anonymously collected from the local HIV epidemic database. HIV-1 pol sequences were amplified from RNA in cryopreserved plasma samples and sequenced directly. Viral subtypes were inferred with phylogenetic analysis and drug resistance mutations (DRMs) were determined according to the Stanford HIVdb algorithm. Recent HIV infection was determined with HIV Limiting Antigen avidity electro immunoassay. Results A total of 2176 sequences (92.4%, 2176/2354) were obtained; 70.9% (1536/2167) were CRF01_AE, followed by CRF07_BC (18.0%, 391/2167), subtype B (4.7%, 102/2167), other subtypes (2.6%, 56/2167), and unique recombinant forms (3.8%, 82/2167). The prevalence of TDR was 4.9% (107/2167), among which, only 0.6% (13/2167) was resistance to TDF/FTC. Most of these subjects had CRF01_AE strains (76.9%, 10/13), were unmarried (76.9%, 10/13), infected through homosexual contact (92.3%, 12/13), and over 30 years old (median age: 33). The TDF/FTC DRMs included K65R (8/13), M184I/V (5/13), and Y115F (2/13). Recent HIV infection accounted for only 23.1% (3/13). Most cases were sporadic in the phylogenetic tree, except two CRF01_AE sequences with K65R (Bootstrap value: 99%). Conclusions The prevalence of TDR to TDF/FTC is low among newly diagnosed HIV-infected cases in Shenyang, suggesting that TDR may have little impact on the protective effect of the ongoing CROPrEP project in Shenyang city.

Lack of Medical Support in HIV Infection and Unstable Mood States

1997 ◽  
Vol 81 (2) ◽  
pp. 635-639
Author(s):  
Motoko Hayashi ◽  
Isao Fukunishi
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Major Depression ◽  
Hiv Infection ◽  
Mood Disorders ◽  
Early Stage ◽  
Mood States ◽  
Hiv Positive ◽  
Medical Support ◽  
Hiv Patients

This study examined what kinds of social support are related to mood states in a sample of 50 HIV-positive patients without AIDS (46 men and 4 women; M age 36.5 yr., SD = 9.8). In the early stage of HIV infection, HIV patients without AIDS may be prone to depressive symptoms although none of these HIV-positive patients' symptoms fulfilled the DSM-III-R Mood Disorders including Major Depression. The depressive symptoms were not significantly related to lack of ordinary social support such as friends and family but were significantly associated with dissatisfaction with HIV/AIDS-related medical support

scholarly journals Dynamics Analysis and Simulation of a Modified HIV Infection Model with a Saturated Infection Rate

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Qilin Sun ◽  
Lequan Min
Keyword(s):  
Drug Resistance ◽  
Antiretroviral Therapy ◽  
Hiv Infection ◽  
Equilibrium Point ◽  
Infection Rate ◽  
Reproductive Number ◽  
Infection Model ◽  
Asymptotically Stable ◽  
Globally Asymptotically Stable ◽  
Hiv Rna

This paper studies a modified human immunodeficiency virus (HIV) infection differential equation model with a saturated infection rate. It is proved that if the basic virus reproductive numberR0of the model is less than one, then the infection-free equilibrium point of the model is globally asymptotically stable; ifR0of the model is more than one, then the endemic infection equilibrium point of the model is globally asymptotically stable. Based on the clinical data from HIV drug resistance database of Stanford University, using the proposed model simulates the dynamics of the two groups of patients’ anti-HIV infection treatment. The numerical simulation results are in agreement with the evolutions of the patients’ HIV RNA levels. It can be assumed that if an HIV infected individual’s basic virus reproductive numberR0<1then this person will recover automatically; if an antiretroviral therapy makes an HIV infected individual’sR0<1, this person will be cured eventually; if an antiretroviral therapy fails to suppress an HIV infected individual’s HIV RNA load to be of unpredictable level, the time that the patient’s HIV RNA level has achieved the minimum value may be the starting time that drug resistance has appeared.

scholarly journals Neurocognitive impairment associated with predominantly early stage HIV infection in Abuja, Nigeria

2014 ◽  
Vol 20 (4) ◽  
pp. 380-387 ◽  
Author(s):  
Christopher Akolo ◽  
Walter Royal ◽  
Mariana Cherner ◽  
Kanayo Okwuasaba ◽  
Lindsay Eyzaguirre ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Early Stage ◽  
Neurocognitive Impairment

scholarly journals Antiretroviral Resistance and Pregnancy Characteristics of Women with Perinatal and Nonperinatal HIV Infection

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Gweneth B. Lazenby ◽  
Okeoma Mmeje ◽  
Barbra M. Fisher ◽  
Adriana Weinberg ◽  
Erika K. Aaron ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Hiv Infection ◽  
Univariate Analysis ◽  
Categorical Variables ◽  
Continuous Variables ◽  
Resistance Mutations ◽  
Hiv Drug Resistance ◽  
Fourfold Increase ◽  
Perinatal Hiv ◽  
Adverse Pregnancy

Objective. To compare HIV drug resistance in pregnant women with perinatal HIV (PHIV) and those with nonperinatal HIV (NPHIV) infection.Methods. We conducted a multisite cohort study of PHIV and NPHIV women from 2000 to 2014. Sample size was calculated to identify a fourfold increase in antiretroviral (ARV) drug resistance in PHIV women. Continuous variables were compared using Student’st-test and Wilcoxon rank-sum tests. Categorical variables were compared usingχ2and Fisher’s exact tests. Univariate analysis was used to determine factors associated with antiretroviral drug resistance.Results. Forty-one PHIV and 41 NPHIV participants were included. Women with PHIV were more likely to have drug resistance than those with NPHIV ((55% versus 17%,p=0.03), OR 6.0 (95% CI 1.0–34.8),p=0.05), including multiclass resistance (15% versus 0,p=0.03), and they were more likely to receive nonstandard ARVs during pregnancy (27% versus 5%,p=0.01). PHIV and NPHIV women had similar rates of preterm birth (11% versus 28%,p=0.08) and cesarean delivery (47% versus 46%,p=0.9). Two infants born to a single NPHIV woman acquired HIV infection.Conclusions. PHIV women have a high frequency of HIV drug resistance mutations, leading to nonstandard ARVs use during pregnancy. Despite nonstandard ARV use during pregnancy, PHIV women did not experience increased rates of adverse pregnancy outcomes.

Sign in / Sign up

Export Citation Format

Share Document