Determination of human immunodeficiency virus tropism has contributed to the understanding of the pathogenesis of HIV and is necessary prior to the use of CCR5 antagonists. Replicate V3 sequences may generate different sequences and improve viral tropism prediction. The diversity of HIV was evaluated to access its influence on prediction. Plasma RNA was retro-transcribed and amplified using a one-step protocol, followed by nested PCR and sequencing using an ABI3130XL. Eighty-one patients, 74% male and 26% female, with a median age of 44 years had either a single sequence (n=50) or 2-4 replicates (n=31) evaluated. Most patients (92%) had used multiple anti-retroviral regimens. Tropism prediction was performed using the Geno2pheno clonal option. The number of ambiguous nucleotides, the deduced non-synonymous amino acids at V3 and the genetic distance were quantified. Using a 20% false positive rate (FPR) cut-off, 41/81 (50.6%) was predicted as X4. TCD4 was lower, 226 cells/mm(3) (IQR 82-378), in patients infected with X4; TCD4 for R5 was 324 cells/mm(3) (IQR 200-538, p<0.05). The number of ambiguous nucleotides correlated with a lower FPR value (p<0.0027). Although different sequences may be generated, the number of replicates was not associated to a lower FPR or X4 assignment, and may allow a better prediction of this biological characteristic. Ambiguous nucleotides correlate inversely to a lower FPR.
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http://dx.doi.org/10.1016/j.jviromet.2011.11.018 | DOI Listing |
J Virol
January 2025
Laboratory for Emerging Viral Zoonoses, WOAH Reference Laboratory for Rabies, FAO and National Reference Centre for Rabies, Department for Research and Innovation, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.
Unlabelled: The genus includes seventeen viral species able to cause rabies, an acute and almost invariably fatal encephalomyelitis of mammals. Rabies virus (RABV), which represents the type species of the genus, is a multi-host pathogen that over the years has undergone multiple events of host-switching, thus occupying several geographical and ecological niches. In contrast, non-RABV lyssaviruses are mainly confined within a single natural host with rare spillover events.
View Article and Find Full Text PDFCell Host Microbe
January 2025
Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA. Electronic address:
Evidence suggests that bats are important hosts of filoviruses, yet the specific species involved remain largely unidentified. Niemann-Pick C1 (NPC1) is an essential entry receptor, with amino acid variations influencing viral susceptibility and species-specific tropism. Herein, we conducted combinatorial binding studies with seven filovirus glycoproteins (GPs) and NPC1 orthologs from 81 bat species.
View Article and Find Full Text PDFObjectives: To explore the medication rules of traditional Chinese medicine (TCM) and mechanism of action of hub herb pairs for treating insomnia.
Methods: Totally 104 prescriptions were statistically analyzed. The association rule algorithm was applied to mine the hub herb pairs.
Trends Cancer
December 2024
Herbert Irving Comprehensive Cancer Center, New York, NY, 10032, USA; Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA; Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address:
Metastasis is responsible for most cancer-related deaths. Different cancers have their own preferential sites of metastases, a phenomenon termed metastatic organotropism. The mechanisms underlying organotropism are multifactorial and include the generation of a pre-metastatic niche (PMN), metastatic homing, colonization, dormancy, and metastatic outgrowth.
View Article and Find Full Text PDFInfluenza Other Respir Viruses
December 2024
Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA.
Background: Though receptor binding specificity is well established as a contributor to host tropism and spillover potential of influenza A viruses, determining receptor binding preference of a specific virus still requires expensive and time-consuming laboratory analyses. In this study, we pilot a machine learning approach for prediction of binding preference.
Methods: We trained a convolutional neural network to predict the α2,6-linked sialic acid preference of influenza A viruses given the hemagglutinin amino acid sequence.
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