scholarly journals Predictive Value of Provirus Load and DNA Human Immunodeficiency Virus Genotype for Successful Abacavir‐Based Simplified Therapy

2003 ◽  
Vol 187 (1) ◽  
pp. 38-46 ◽  
Author(s):  
Isabelle Pellegrin ◽  
Anne Caumont ◽  
Isabelle Garrigue ◽  
Patrick Merel ◽  
Marie‐Hélène Schrive ◽  
...  
Author(s):  
Sadia Salahuddin ◽  
Joharia Azhar ◽  
Hasham Akhtar ◽  
Jabbar Khan ◽  
Noor Muhammad

Abstract Objectives: To molecularly characterise the relationship between Epstein-Barr virus genotypes and Pashtun ethnicity. Method: The cross-sectional study was conducted from November 2018 to December 2019 after approval from the Gomal University, Dera Ismail Khan, Pakistan, and comprised blood samples from transgender sex workers who were seropositive for human immunodeficiency virus-1 and seronegative for human immunodeficiency virus residing in two cities of Khyber Pakhtunkhwa province and Islamabad, the federal capital. Formalin-fixed paraffin-embedded samples were collected retrospectively, but collection of blood samples from the study subjects was purely on the basis of physical availability. ?-globin gene and EBER-1 were amplified for qualitative assessment and existence of Epstein-Barr virus. Characterisation of EBNA-2 was done through nested polymerase chain reaction. Results: Of the 80 subjects, 40(50%) each were seropositive and seronegative individuals. The overall mean age was 28±6.917 years. Among the seropositive group, 38(95%) were homosexual and 2(5%) were heterosexual. Among the seropositive group, 16(40%) had Epstein-Barr virus genotype 1 and 6(15%) had genotype 2, while co-infections were found in 2(5%) subjects. In the seronegative group, 36(90%) subjects had Epstein-Barr virus genotype 1, while there was no case of genotype 2 or co-infection. EBV-2 genotypes with HIV seropositivity showed strong association (p=0.005). Amplification for the EBER-1 gene was done in all the 80(100%) samples. Conclusion: Epstein-Barr virus EBV genotype 1 was found to be the most frequent type, while genotype 2 and co-infections were detected only seropositive samples. Continuous...


2018 ◽  
Vol 28 (7) ◽  
pp. 1432-1437 ◽  
Author(s):  
Leon Cornelius Snyman ◽  
Emma P. Bryant ◽  
Elize I. Wethmar ◽  
Tom de Greve ◽  
Florette Reyneke ◽  
...  

ObjectivesCervical cancer is common in resource-poor settings with high prevalence of tuberculosis, pelvic inflammatory disease, and human immunodeficiency virus (HIV) infection. There are no data regarding the sentinel lymph node (SLN) algorithm in these high-risk cancer populations. Our objectives were to establish the sensitivity, specificity, positive predictive value, and negative predictive value of the SLN algorithm in cervical cancer and to compare the detection rate of indocyanine green (ICG) versus blue dye versus technetium Tc 99m nanocolloid (99mTc).MethodsThis prospective study was conducted at the University of Pretoria. 99mTc-nanocolloid tracer, ICG dye, and methylene blue (MB) were used to detect SLNs. Pathological ultrastaging was performed on hematoxylin-eosin– negative nodes.ResultsResults of 72 women were analyzed. The mean age was 47.2 years, 5.5% had a history of tuberculosis, 18.1% had pelvic inflammatory disease, and 65.3% were HIV positive. The SLN detection rate was 65.3%. Detection rate of MB was 56.9%; 99mTc, 69.4%; ICG, 87.5%; and the combination of MB and 99mTc, 91.7%. Pelvic nodal metastases occurred in 26.4%. The sensitivity, specificity, negative predictive value, and positive predictive value of SLN biopsy were 85.7%, 100%, 100%, and 98.33%, respectively. The false-negative rate was 14.3%, and it was 0% if the algorithm was applied.ConclusionsThe SLN algorithm is a feasible option for use in cervical cancer women with a high prevalence of HIV infection. The detection rate is generally lower, but in select subgroups of women, it was comparable to that reported elsewhere. This is the first report of the use of SLN biopsy in a substantial group of HIV-infected women.


2004 ◽  
Vol 48 (4) ◽  
pp. 1413-1415 ◽  
Author(s):  
Chris Stone ◽  
Mounir Ait-Khaled ◽  
Charles Craig ◽  
Philip Griffin ◽  
Margaret Tisdale

ABSTRACT Mutations selected or deselected during passage of human immunodeficiency virus strain HXB2 or resistant variants with tenofovir (TFV), abacavir (ABC), and lamivudine (3TC) differed depending on the drug combination and virus genotype. In the wild-type virus, TFV-ABC and TFV-3TC selected K65R (with reduced susceptibility to all three inhibitors) and then Y115F. TFV-containing regimens might increase K65R selection, which confers multiple nucleoside reverse transcriptase inhibitor resistance.


2001 ◽  
Vol 8 (2) ◽  
pp. 346-348 ◽  
Author(s):  
Bhavna H. Chohan ◽  
Ludo Lavreys ◽  
Kishorchandra N. Mandaliya ◽  
Joan K. Kreiss ◽  
Job J. Bwayo ◽  
...  

ABSTRACT This study was performed to evaluate the performance of a saliva collection device (OmniSal) and an enzyme-linked immunoassay (EIA) designed for use on serum samples (Detect HIV1/2) to detect human immunodeficiency virus type 1 (HIV-1) antibodies in the saliva of high-risk women in Mombasa, Kenya. The results of the saliva assay were compared to a “gold standard” of a double-EIA testing algorithm performed on serum. Individuals were considered HIV-1 seropositive if their serum tested positive for antibodies to HIV-1 by two different EIAs. The commercial serum-based EIA was modified to test the saliva samples by altering the dilution and lowering the cutoff point of the assay. Using the saliva sample, the EIA correctly identified 102 of the 103 seropositive individuals, yielding a sensitivity of 99% (95% confidence interval [CI], 94 to 100%), and 96 of the 96 seronegative individuals, yielding a specificity of 100% (95% CI, 95 to 100%). In this high-risk population, the positive predictive value of the assay was 100% and the negative predictive value was 99%. We conclude that HIV-1 antibody testing of saliva samples collected with this device and tested by this EIA is of sufficient sensitivity and specificity to make this protocol useful in epidemiological studies.


Sign in / Sign up

Export Citation Format

Share Document