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Pelaez-Prestel, H. F.

Publications and source records attributed to Pelaez-Prestel, H. F..

2 recordsLinked to original sources

HIV-1 protein coding sequences are present in relevant bacteria

Human Immunodeficiency Virus (HIV) is a retrovirus that attacks the immune system, causing acquired immunodeficiency syndrome (AIDS). Early diagnosis and treatment of HIV infected individuals are considered key to reduce HIV transmission and developing AIDS. Therefore, HIV diagnostics play an important role in the battle against AIDS. HIV tests are regarded as reliable and very specific. However, false-positive results are known to occur, usually caused by infections with unrelated pathogens leading to cross-reactive antibodies. In this work, we found through TBLASTN searches that the genome of several bacterial species, most frequently Klebsiella pneumoniae and Escherichia coli, contain segments matching HIV-1 proteins, including p24 and other proteins relevant for HIV testing, with a high degree of similarity (sequence identity > 95 %). The presence of HIV-1 in these bacteria of the human microbiota does not appear to be an artifact, since HIV-1 proteins were detected in different isolates of the same species. The proteome of other common viruses, particularly Influenza A virus and Hepatitis B virus, was also detected in bacterial genomes, but to a much lesser extent. Overall, our findings support that some bacteria can acquire HIV-1 genetic material and could interfere with HIV testing, causing false-positives.

microbiology↗

Spatial transcriptomics unveils immune cellular ecosystems associated with patient survival in diffuse large B-cell lymphoma

Diffuse Large B-cell Lymphoma (DLBCL) is the most prevalent subtype of non-Hodgkins lymphoma for which current therapeutic strategies remain insufficient. The diffuse nature of DLBCL, lacking distinct tissue structures, represents a challenge to elucidate the cellular organization and interactions within the tumor microenvironment (TME). In this study, we applied spatial transcriptomics to identify spatially-resolved gene expression profiles in 10 DLBCL tissue samples, identifying distinct immune cell infiltration and colocalization patterns. These profiles were classified into six cellular ecosystems (Cell-Eco) that differ in cellular composition, functional patterns, and neighborhood characteristics. The spatially-resolved Cell-Eco signatures provided prognostic scores that stratified patients with different overall survival rates. We also found that C1q+ tumor-associated macrophages are the primary cells interacting with malignant B cells and influencing the spatial architecture of the TME. This study provides novel biological insights into the complexity of the TME in DLBCL and highlights the potential prognostic value of its spatial organization. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=163 SRC="FIGDIR/small/613252v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@147a46eorg.highwire.dtl.DTLVardef@7c5236org.highwire.dtl.DTLVardef@1f99506org.highwire.dtl.DTLVardef@a6d271_HPS_FORMAT_FIGEXP M_FIG C_FIG Key findingsO_LISpatial transcriptomics classifies DLBCL tissues based on immune cell infiltration and colocalization patterns. C_LIO_LIDLBCL tumor microenvironment consists of cellular ecosystems (Cell-Eco) that differ in cellular composition, transcriptomic profiles and neighborhood characteristics. C_LIO_LISpatially-resolved Cell-Eco signatures stratify patients with different overall survival. C_LIO_LIC1q+ tumor-associated macrophages primarily interact with malignant B cells and contribute to the spatial organization of the tumor microenvironment. C_LI

immunology↗