Literature DB >> 29687407

Ultradeep single-molecule real-time sequencing of HIV envelope reveals complete compartmentalization of highly macrophage-tropic R5 proviral variants in brain and CXCR4-using variants in immune and peripheral tissues.

Robin L Brese1, Maria Paz Gonzalez-Perez1, Matthew Koch1, Olivia O'Connell1, Katherine Luzuriaga1, Mohan Somasundaran1, Paul R Clapham1, James Jarad Dollar2, David J Nolan2, Rebecca Rose3, Susanna L Lamers2.   

Abstract

Despite combined antiretroviral therapy (cART), HIV+ patients still develop neurological disorders, which may be due to persistent HIV infection and selective evolution in brain tissues. Single-molecule real-time (SMRT) sequencing technology offers an improved opportunity to study the relationship among HIV isolates in the brain and lymphoid tissues because it is capable of generating thousands of long sequence reads in a single run. Here, we used SMRT sequencing to generate ~ 50,000 high-quality full-length HIV envelope sequences (> 2200 bp) from seven autopsy tissues from an HIV+/cART+ subject, including three brain and four non-brain sites. Sanger sequencing was used for comparison with SMRT data and to clone functional pseudoviruses for in vitro tropism assays. Phylogenetic analysis demonstrated that brain-derived HIV was compartmentalized from HIV outside the brain and that the variants from each of the three brain tissues grouped independently. Variants from all peripheral tissues were intermixed on the tree but independent of the brain clades. Due to the large number of sequences, a clustering analysis at three similarity thresholds (99, 99.5, and 99.9%) was also performed. All brain sequences clustered exclusive of any non-brain sequences at all thresholds; however, frontal lobe sequences clustered independently of occipital and parietal lobes. Translated sequences revealed potentially functional differences between brain and non-brain sequences in the location of putative N-linked glycosylation sites (N-sites), V1 length, V3 charge, and the number of V4 N-sites. All brain sequences were predicted to use the CCR5 co-receptor, while most non-brain sequences were predicted to use CXCR4 co-receptor. Tropism results were confirmed by in vitro infection assays. The study is the first to use a SMRT sequencing approach to study HIV compartmentalization in tissues and supports other reports of limited trafficking between brain and non-brain sequences during cART. Due to the long sequence length, we could observe changes along the entire envelope gene, likely caused by differential selective pressure in the brain that may contribute to neurological disease.

Entities:  

Keywords:  Clustering; Combined antiretroviral therapy (cART); Evolution; Next-generation sequencing (NGS); Phylogenetics; Tropism

Mesh:

Substances:

Year:  2018        PMID: 29687407      PMCID: PMC7281851          DOI: 10.1007/s13365-018-0633-5

Source DB:  PubMed          Journal:  J Neurovirol        ISSN: 1355-0284            Impact factor:   2.643


  90 in total

1.  Human brain parenchymal microglia express CD14 and CD45 and are productively infected by HIV-1 in HIV-1 encephalitis.

Authors:  Melissa A Cosenza; Meng-Liang Zhao; Qiusheng Si; Sunhee C Lee
Journal:  Brain Pathol       Date:  2002-10       Impact factor: 6.508

2.  Ultra-deep sequencing reveals hidden HIV-1 minority lineages and shifts of viral population between the main cellular reservoirs of the infection after therapy interruption.

Authors:  Gabriella Rozera; Isabella Abbate; Massimo Ciccozzi; Alessandra Lo Presti; Alessandro Bruselles; Chrysoula Vlassi; Gianpiero D'Offizi; Pasquale Narciso; Emanuela Giombini; Barbara Bartolini; Giuseppe Ippolito; Maria R Capobianchi
Journal:  J Med Virol       Date:  2012-06       Impact factor: 2.327

3.  Analysis of human immunodeficiency virus type 1 gp160 sequences from a patient with HIV dementia: evidence for monocyte trafficking into brain.

Authors:  Y Liu; X P Tang; J C McArthur; J Scott; S Gartner
Journal:  J Neurovirol       Date:  2000-05       Impact factor: 2.643

Review 4.  The neuropathogenesis of AIDS.

Authors:  Francisco González-Scarano; Julio Martín-García
Journal:  Nat Rev Immunol       Date:  2005-01       Impact factor: 53.106

5.  Neuroinvasion by simian immunodeficiency virus coincides with increased numbers of perivascular macrophages/microglia and intrathecal immune activation.

Authors:  J H Lane; V G Sasseville; M O Smith; P Vogel; D R Pauley; M P Heyes; A A Lackner
Journal:  J Neurovirol       Date:  1996-12       Impact factor: 2.643

6.  Analysis of the temporal relationship between human immunodeficiency virus type 1 quasispecies in sequential blood samples and various organs obtained at autopsy.

Authors:  A B van't Wout; L J Ran; C L Kuiken; N A Kootstra; S T Pals; H Schuitemaker
Journal:  J Virol       Date:  1998-01       Impact factor: 5.103

7.  Delineating CD4 dependency of HIV-1: Adaptation to infect low level CD4 expressing target cells widens cellular tropism but severely impacts on envelope functionality.

Authors:  David Beauparlant; Peter Rusert; Carsten Magnus; Claus Kadelka; Jacqueline Weber; Therese Uhr; Osvaldo Zagordi; Corinna Oberle; Maria J Duenas-Decamp; Paul R Clapham; Karin J Metzner; Huldrych F Günthard; Alexandra Trkola
Journal:  PLoS Pathog       Date:  2017-03-06       Impact factor: 6.823

8.  HIV-1 tropism determination using a phenotypic Env recombinant viral assay highlights overestimation of CXCR4-usage by genotypic prediction algorithms for CRF01_AE and CRF02_AG [corrected].

Authors:  Martin Mulinge; Morgane Lemaire; Jean-Yves Servais; Arkadiusz Rybicki; Daniel Struck; Eveline Santos da Silva; Chris Verhofstede; Yolanda Lie; Carole Seguin-Devaux; Jean-Claude Schmit; Danielle Perez Bercoff
Journal:  PLoS One       Date:  2013-05-08       Impact factor: 3.240

9.  Variation in HIV-1 R5 macrophage-tropism correlates with sensitivity to reagents that block envelope: CD4 interactions but not with sensitivity to other entry inhibitors.

Authors:  Paul J Peters; Maria J Duenas-Decamp; W Matthew Sullivan; Richard Brown; Chiambah Ankghuambom; Katherine Luzuriaga; James Robinson; Dennis R Burton; Jeanne Bell; Peter Simmonds; Jonathan Ball; Paul R Clapham
Journal:  Retrovirology       Date:  2008-01-18       Impact factor: 4.602

10.  Deep sequencing of evolving pathogen populations: applications, errors, and bioinformatic solutions.

Authors:  Kerensa McElroy; Torsten Thomas; Fabio Luciani
Journal:  Microb Inform Exp       Date:  2014-01-15
View more
  9 in total

1.  Emerging Patterns in HIV-1 gp120 Variable Domains in Anatomical Tissues in the Absence of a Plasma Viral Load.

Authors:  Susanna L Lamers; Gary B Fogel; David J Nolan; Andrew E Barbier; Rebecca Rose; Elyse J Singer; Maria Paz Gonzalez-Perez; Michael S McGrath
Journal:  AIDS Res Hum Retroviruses       Date:  2019-04-10       Impact factor: 2.205

2.  A minor population of macrophage-tropic HIV-1 variants is identified in recrudescing viremia following analytic treatment interruption.

Authors:  Viviane M Andrade; Carla Mavian; Dunja Babic; Thaissa Cordeiro; Mark Sharkey; Labelle Barrios; Christian Brander; Javier Martinez-Picado; Judith Dalmau; Anuska Llano; Jonathan Z Li; Jeffrey Jacobson; Christy L Lavine; Michael S Seaman; Marco Salemi; Mario Stevenson
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-16       Impact factor: 11.205

3.  Ultradeep HIV-1 Proviral Envelope Sequencing Reveals Complex Population Structure within and between Brain and Splenic Tissues.

Authors:  Rebecca Rose; Maria Paz Gonzalez-Perez; David J Nolan; Sissy Cross; Susanna L Lamers; Katherine Luzuriaga
Journal:  J Virol       Date:  2021-09-08       Impact factor: 5.103

Review 4.  Human microglial models to study HIV infection and neuropathogenesis: a literature overview and comparative analyses.

Authors:  Lot D de Witte; Monique Nijhuis; Stephanie B H Gumbs; Raphael Kübler; Lavina Gharu; Pauline J Schipper; Anne L Borst; Gijsje J L J Snijders; Paul R Ormel; Amber Berdenis van Berlekom; Annemarie M J Wensing
Journal:  J Neurovirol       Date:  2022-02-09       Impact factor: 3.739

5.  Next-generation sequencing of HIV-1 single genome amplicons.

Authors:  Gustavo H Kijak; Eric Sanders-Buell; Phuc Pham; Elizabeth A Harbolick; Celina Oropeza; Anne Marie O'Sullivan; Meera Bose; Charmagne G Beckett; Mark Milazzo; Merlin L Robb; Sheila A Peel; Paul T Scott; Nelson L Michael; Adam W Armstrong; Jerome H Kim; David M Brett-Major; Sodsai Tovanabutra
Journal:  Biomol Detect Quantif       Date:  2019-03-11

6.  NanoHIV: A Bioinformatics Pipeline for Producing Accurate, Near Full-Length HIV Proviral Genomes Sequenced Using the Oxford Nanopore Technology.

Authors:  Imogen A Wright; Kayla E Delaney; Mary Grace K Katusiime; Johannes C Botha; Susan Engelbrecht; Mary F Kearney; Gert U van Zyl
Journal:  Cells       Date:  2021-09-28       Impact factor: 6.600

7.  Characterization of HIV-1 Infection in Microglia-Containing Human Cerebral Organoids.

Authors:  Stephanie B H Gumbs; Amber Berdenis van Berlekom; Raphael Kübler; Pauline J Schipper; Lavina Gharu; Marco P Boks; Paul R Ormel; Annemarie M J Wensing; Lot D de Witte; Monique Nijhuis
Journal:  Viruses       Date:  2022-04-16       Impact factor: 5.818

8.  Autopsy Study Defines Composition and Dynamics of the HIV-1 Reservoir after Allogeneic Hematopoietic Stem Cell Transplantation with CCR5Δ32/Δ32 Donor Cells.

Authors:  Laura E P Huyveneers; Anke Bruns; Arjen Stam; Pauline Ellerbroek; Dorien de Jong; Noémi A Nagy; Stephanie B H Gumbs; Kiki Tesselaar; Kobus Bosman; Maria Salgado; Gero Hütter; Lodewijk A A Brosens; Mi Kwon; Jose Diez Martin; Jan T M van der Meer; Theun M de Kort; Asier Sáez-Cirión; Julian Schulze Zur Wiesch; Jaap Jan Boelens; Javier Martinez-Picado; Jürgen H E Kuball; Annemarie M J Wensing; Monique Nijhuis
Journal:  Viruses       Date:  2022-09-17       Impact factor: 5.818

9.  Low Pathogenicity H7N3 Avian Influenza Viruses Have Higher Within-Host Genetic Diversity Than a Closely Related High Pathogenicity H7N3 Virus in Infected Turkeys and Chickens.

Authors:  Christina M Leyson; Miriã F Criado; Sungsu Youk; Mary J Pantin-Jackwood
Journal:  Viruses       Date:  2022-03-08       Impact factor: 5.048

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.