PubMed · 10273873
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1985. Laundry workers need AIDS guidelines.. https://pubmed.ncbi.nlm.nih.gov/10273873/
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Knowledge of HIV incidence is important to formulate sensible strategies aimed at controlling the HIV/AIDS epidemic. Back-projection is one of the methods for reconstructing the HIV incidence curve from AIDS incidence data. However, because of the low risk of developing AIDS during the first few years after infection, precise estimates of HIV incidence for the recent past are unlikely if we use AIDS incidence data only. As a result there have been recent attempts to use, not only the date of AIDS diagnosis, but also to use the date of their first positive HIV test. The objective of this paper is to incorporate into back-projection the additional information provided by those individuals who have tested HIV positive but have not yet developed AIDS. This adds information on a very large number of other individuals, and provides the hope that the precision of back-projection is improved considerably. The date of a positive HIV test or an AIDS diagnosis of an individual, whichever comes first, is used in a generalized convolution equation for the purpose of back-projection. The method is illustrated by an application to Australian HIV and AIDS data. Study results show that dramatic improvement in precision is gained for estimates of HIV incidence in recent years when both HIV and AIDS diagnosis dates are used on all individuals.
Multiple nucleoside resistance involves specific mutational patterns of the HIV-1 pol gene that are independent of the classic mutations conferring resistance to individual dideoxynucleosides. These include a cluster of five mutations in the reverse-transcriptase (RT) coding region (A62V, V75I, F77L, F116Y, and Q151M) generally referred to as multidrug resistance (MDR) mutations, and insertions of one or several amino acid residues between codons 67 and 70 of RT, a flexible region joining two antiparrallel beta sheets (beta3-beta4 insertions). The objectives of this study were (i) to determine the prevalence of multidrug resistance genotypes (MDR mutations and beta3-beta4 insertions) in a cohort of 632 patients who were extensively pretreated with anti-HIV drugs and not responding to their current antiretroviral therapy, and (ii) to analyze the association of multidrug resistance genotypes with other resistance mutations in the RT and protease genes. Among viruses sequenced from these patients, 15 (2.4%) of them contained an insertion and 2 (0.3%) contained a deletion in the beta3-beta4 finger subdomain of RT. In 9 cases, the insertion was associated with a D67S, G, or E mutation. In addition, we identified 13 (2.1%) viruses harboring specific MDR mutations (mainly Q151M and/or A62V, V75I, F116Y). Interestingly, the A62V mutation was found in 6 of the 15 strains with an insertion, whereas the other MDR mutations were not observed in insertion mutant strains. Especially high levels of resistance to zidovudine were observed for viruses with a beta3-beta4 insertion in the background of A62V, L210W, and T215Y. Otherwise, MDR mutations and beta3-beta4 insertions were found in association with the classic mutations conferring resistance to zidovudine, lamivudine, nonnucleoside RT inhibitors, and protease inhibitors, according to treatment history. Finally, we observed a genome with a deletion of codon 70 associated with a Q151M MDR mutation. These data suggest that the emergence of HIV-1 multidrug resistance, which may occur in various genetic contexts, poses a challenging problem in formulating treatment strategies.
The influence of human T-cell leukemia/lymphoma virus type II (HTLV-II) in individuals also infected with HIV-1 is poorly understood. To evaluate the reciprocal influence of HTLV-II and HIV-1 infection, primary peripheral blood mononuclear cell (PBMC) cultures from coinfected individuals were established in the presence of interleukin 2 (IL-2). In these cultures, the kinetics of HTLV-II replication always preceded those of HIV-1. Noteworthy, the kinetics of HIV-1 production were inversely correlated to the HTLV-II proviral load in vivo and its replication ex vivo. These observations suggested a potential interaction between the 2 retroviruses. In this regard, the levels of IL-2, IL-6, and tumor necrosis factor-alpha (TNF-alpha) were measured in the same coinfected PBMC cultures. Endogenous IL-2 was not produced, whereas IL-6 and TNF-alpha were secreted at levels compatible with their known ability to up-regulate HIV-1 expression. The HIV-suppressive CC-chemokines RANTES, macrophage inflammatory protein-1alpha (MIP-1alpha), and MIP-1beta were also determined in IL-2-stimulated PBMC cultures. Of interest, their kinetics and concentrations were inversely related to those of HIV-1 replication. Experiments were performed in which CD8(+) T cells or PBMCs from HTLV-II monoinfected individuals were cocultivated with CD4(+) T cells from HIV-1 monoinfected individuals separated by a semipermeable membrane in the presence or absence of antichemokine neutralizing antibodies. The results indicate that HTLV-II can interfere with the replicative potential of HIV-1 by up-regulating viral suppressive CC-chemokines and, in particular, MIP-1alpha. This study is the first report indicating that HTLV-II can influence HIV replication, at least in vitro, via up-regulation of HIV-suppressive chemokines. (Blood. 2000;95:2760-2769)