Berberine: A dual anti-HIV and anti- cervical cancer compound
Naushad, W.; Okeoma, B. C.; Islam, H. K.; Wang, Z. Z.; Yang, N.; Li, X.-M.; Okeoma, C. M.
Show abstract
We report the effects of berberine (BBR), a benzylisoquinoline alkaloid small molecule on inhibition of HIV infection of cervical cancer cells. We used HeLa cell-derived TZM-bl cell line as a model of cervical cancer and HIV infection. BBR significantly inhibits viral and cancer processes, including expression of cell-associated HIV RNA, secretion of HIV reverse transcriptase, and HIV Tat-mediated LTR promoter transactivation. BBR significantly inhibits HIV-induced cancer cell viability and cell clustering. Besides its ability to inhibit HIV-induced cancer cell viability, BBR inhibits migration and matrix invasion of cervical cancer cells that are infected with HIV or treated with HIV Tat protein. The ability of BBR to inhibit cell clustering, collective cell migration, and cell invasion may have an effect in controlling progression of cervical cancer and HIV since collective migration and invasion are strategies for local tissue infiltration, as well as metastatic invasion in epithelial cancers. Interestingly, molecular docking and dynamic stimulation show that BBR binds HIVIIIB Tat amino acid residues through non-covalent interactions that occurs at multiple sites including LYS71, providing mechanistic insights into BBR regulation HIV infection. The results of the present study suggest that BBR has the potential to inhibit HIV infection and comorbid cervical cancer progression. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=67 SRC="FIGDIR/small/624212v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@1b88635org.highwire.dtl.DTLVardef@17311d8org.highwire.dtl.DTLVardef@19881c7org.highwire.dtl.DTLVardef@170483a_HPS_FORMAT_FIGEXP M_FIG C_FIG Berberine (BBR), a benzylisoquinoline alkaloid small molecule, inhibits HIV infection of cervical cancer cells, suppresses HIV-induced migration and invasion of the cancer cells. Mechanistically, BBR interferes with Tat-mediated HIV LTR promoter transactivation and expression of different HIV RNA species, expression of early genes (multiply spliced Tat-Rev) and late genes (unspliced Gag-Pol).
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- The Petasites hybridus CO2-extract (Ze 339) blocks SARS-CoV-2 replication in vitro 94%
- Active components of commonly prescribed medicines affect influenza A virus-host cell interaction: a pilot study 94%
- ZRC3308 monoclonal antibody cocktail shows protective efficacy in Syrian hamsters against SARS-CoV-2 infection 94%
Similar papers in this journal
- Mechanism by which PF-3758309, a Pan Isoform Inhibitor of p21-Activated Kinases, Blocks Reactivation of HIV-1 Latency 94%
- Affinity tag free purification of SARS-Cov-2 N protein and its crystal structure in complex with ssDNA 92%
- Generation and Functional Characterization of PLAP CAR-T Cells against Cervical Cancer Cells 91%
Similar papers in this journal
- Mechanistic insights and in vivo HIV suppression by the BRD4-targeting small molecule ZL0580 96%
- NRF2 activators inhibit influenza A virus replication by interfering with nucleo-cytoplasmic export of viral RNPs in an NRF2-independent manner 94%
- A guanidine-based coronavirus replication inhibitor which targets the nsp15 endoribonuclease and selects for interferon-susceptible mutant viruses 94%
Similar papers in this journal
- Atazanavir is a competitive inhibitor of SARS-CoV-2 Mpro, impairing variants replication in vitro and in vivo 95%
- Methylene Blue Is a Nonspecific Protein-Protein Interaction Inhibitor with Potential for Repurposing as an Antiviral for COVID-19 95%
- Host-directed FDA-approved drugs with antiviral activity against SARS-CoV-2 identified by hierarchical in silico/in vitro screening methods 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.