Distribution of HIV-1 infection in different T lymphocyte subsets: antiretroviral therapy-naïve vs. experienced patients

HPV co-infections with other pathogens in cancer development: A comprehensive review

High-risk human papillomaviruses (HR-HPVs) cause various malignancies in the anogenital and oropharyngeal regions. About 70% of cervical and oropharyngeal cancers are caused by HPV types 16 and 18. Notably, some viruses including herpes simplex virus, Epstein-Barr virus, and human immunodeficiency virus along with various bacteria often interact with HPV, potentially impacting its replication, persistence, and cancer progression. Thus, HPV infection can be significantly influenced by co-infecting agents that influence infection dynamics and disease progression. Bacterial co-infections (e.g., Chlamydia trachomatis) along with bacterial vaginosis-related species also interact with HPV in genital tract leading to viral persistence and disease outcomes. Co-infections involving HPV and diverse infectious agents have significant implications for disease transmission and clinical progression. This review explores multiple facets of HPV infection encompassing the co-infection dynamics with other pathogens, interaction with the human microbiome, and its role in disease development.

[Viral co-infection with head and neck tumors]

The review is devoted to assessing the prevalence of human papillomavirus (HPV) in combination with other viral agents for head and neck tumors (HNT). HPV is recognized as an etiological factor in the development of cervical cancer, but there is evidence that it may be involved in carcinogenesis in other locations, in particular the upper respiratory tract. However, HPV is not the most important factor in tumor growth and progression. Recently, many researchers have reported the presence of concomitant co-infection, affecting tumor progression. Of all the studies analyzed, only 3 studies showed the absence or low rates of co-infection in HNT: from the Czech Republic (0%), China (0.6%) and Japan (3%). Most often, HPV infection was detected together with the Epstein-Barr virus (EBV) - from 12.5 to 34.1% of cases. In Russia, the prevailing combination of viral co-infection was a combination of EBV and cytomegalovirus (9.5%) and a combination of EBV and herpes simplex virus (6.7%). Thus, the degree of incidence of HPV in HNT varies greatly, and the mechanisms of coinfection are poorly understood, which raises the question of whether HPV and concomitant infection can be involved in tumor progression. This makes further research in this direction relevant and promising.

The interaction between human papillomavirus and other viruses

The etiological role of human papillomavirus (HPV) in anogenital tract and head and neck cancers is well established. However, only a low percentage of HPV-positive women develop cancer, indicating that HPV is necessary but not sufficient in carcinogenesis. Several biological and environmental cofactors have been implicated in the development of HPV-associated carcinoma that include immune status, hormonal changes, parity, dietary habits, tobacco usage, and co-infection with other sexually transmissible agents. Such cofactors likely contribute to HPV persistent infection through diverse mechanisms related to immune control, efficiency of HPV infection, and influences on tumor initiation and progression. Conversely, HPV co-infection with other factors may also harbor anti-tumor effects. Here, we review epidemiological and experimental studies investigating human immunodeficiency virus (HIV), herpes simplex virus (HSV) 1 and 2, human cytomegalovirus (HCMV), Epstein-Barr virus (EBV), BK virus (BKV), JC virus (JCV), and adeno-associated virus (AAV) as viral cofactors in or therapeutic factors against the development of genital and oral HPV-associated carcinomas.

Mammalian cell cultures as models for Mycobacterium tuberculosis-human immunodeficiency virus (HIV) interaction studies: A review

Mycobacterium tuberculosis and human immunodeficiency virus (HIV) co-infections have remained a major public health concern worldwide, particularly in Southern Africa. Yet our understanding of the molecular interactions between the pathogens has remained poor due to lack of suitable preclinical models for such studies. We reviewed the use, this far, of mammalian cell culture models in HIV-MTB interaction studies. Studies have described the use of primary human cell cultures, including (1) monocyte-derived macrophage (MDM) fractions of peripheral blood mononuclear cell (PBMC), alveolar macrophages (AM), (2) cell lines such as the monocyte-derived macrophage cell line (U937), T lymphocyte cell lines (CEMx174, ESAT-6-specific CD4(+) T-cells) and an alveolar epithelial cell line (A549) and (3) special models such as stem cells, three dimensional (3D) or organoid cell models (including a blood-brain barrier cell model) in HIV-MTB interaction studies. The use of cell cultures from other mammals, including: mouse cell lines [macrophage cell lines RAW 264.7 and J774.2, fibroblast cell lines (NIH 3T3, C3H clones), embryonic fibroblast cell lines and T-lymphoma cell lines (S1A.TB, TIMI.4 and R1.1)]; rat (T cells: Rat2, RGE, XC and HH16, and alveolar cells: NR8383) and primary guinea pigs derived AMs, in HIV-MTB studies is also described. Given the spectrum of the models available, cell cultures offer great potential for host-HIV-MTB interactions studies.

HIV-1 cellular and tissue replication patterns in infected humanized mice

Humanized mice have emerged as a testing platform for HIV-1 pathobiology by reflecting natural human disease processes. Their use to study HIV-1 biology, virology, immunology, pathogenesis and therapeutic development has served as a robust alternative to more-well developed animal models for HIV/AIDS. A critical component in reflecting such human pathobiology rests in defining the tissue and cellular sites for HIV-1 infection. To this end, we examined the tissue sites for viral infection in bone marrow, blood, spleens, liver, gut, brain, kidney and lungs of human CD34+ hematopoietic stem cell engrafted virus-infected NOD.Cg-Prkdc^scidIl2rg^tm1Wjl/SzJ mice. Cells were analyzed by flow cytometry and sorted from species mixtures defined as CD34+ lineage negative progenitor cells, CD14+CD16+ monocyte-macrophages and central, stem cell and effector memory T cells. The cell distribution and viral life cycle were found dependent on the tissue compartment and time of infection. Cell subsets contained HIV-1 total and integrated DNA as well as multi-spliced and unspliced RNA in divergent proportions. The data support the idea that humanized mice can provide a means to examine the multifaceted sites of HIV-1 replication including, but not limited to progenitor cells and monocyte-macrophages previously possible only in macaques and human.

HIV-1 transcriptional activity during frequent longitudinal sampling in aviremic patients on antiretroviral therapy

BACKGROUND

HIV-1 transcription during suppressive antiretroviral therapy (ART) is not well understood. This is problematic as latency-reactivating agent-based HIV-1 eradication trials utilize changes in viral transcription as an efficacy biomarker.

METHODS

We conducted an observational cohort study enrolling aviremic, HIV-1-infected adults on long-term ART. Cell-associated unspliced (CA-US) HIV-1 RNA and total HIV-1 DNA were quantified in unfractionated CD4 T cells monthly for a total of six consecutive visits. Random-effects models were used to determine the following: (i) proportion of variation attributable to intra-individual versus inter-individual changes; (ii) range estimate for random samples from any participant or cohort-matched individual (95% prediction interval); and (iii) range estimate for random samples from the same person (95% variation intervals expressed as fold change).

RESULTS

Among our cohort of 26 HIV-1 patients, 10.4% of variation in CA-US HIV-1 RNA was attributable to intra-individual fluctuations. Similarly, intra-individual changes also accounted for minor proportions of the variation in total HIV-1 DNA (5.1%) and RNA/DNA (28.3%). The 95% prediction interval (per 10 CD4 T cells) for CA-US HIV-1 RNA and HIV-1 DNA were each approximately 2 log10. Finally, model-derived 95% variation intervals indicate that spontaneous changes above 2.11-fold in CA-US HIV-1 RNA would occur in less than 5% of repeated measurements in an individual on long-term ART.

CONCLUSION

The individual CA-US HIV-1 RNA levels are remarkably stable during ART. Importantly, the observed variations were less than the reported changes for latency-reactivating agent trials. These data will serve as a foundation for planning and interpreting future eradication trials.