Evidence map›Paper›PMID 38364812›Full record

ArticleBiometrics2024

Quantifying the HIV reservoir with dilution assays and deep viral sequencing.

Sarah C Lotspeich, Brian D Richardson, Pedro L Baldoni, Kimberly P Enders, Michael G Hudgens

Abstract read
In one paragraph

Article in Biometrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sarah C LotspeichDepartment of Statistical Sciences, Wake Forest University, Winston-Salem, NC 27109, United States.ORCID 0000-0001-5380-2427
Brian D RichardsonDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Pedro L BaldoniBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia.ORCID 0000-0002-9510-8326
Kimberly P EndersDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Michael G HudgensDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
STATISTICAL ISSUES IN AIDS RESEARCHR37AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI JAMES P HUGHES · 1999 to 2026
$9.8M
NIAID NIH HHS P30 AI050410NIAID NIH HHS R37 AI029168NIEHS NIH HHS T32 ES007018NIH HHS P30AI50410
6 · The paper itself

Abstract

People living with HIV on antiretroviral therapy often have undetectable virus levels by standard assays, but "latent" HIV still persists in viral reservoirs. Eliminating these reservoirs is the goal of HIV cure research. The quantitative viral outgrowth assay (QVOA) is commonly used to estimate the reservoir size, that is, the infectious units per million (IUPM) of HIV-persistent resting CD4+ T cells. A new variation of the QVOA, the ultra deep sequencing assay of the outgrowth virus (UDSA), was recently developed that further quantifies the number of viral lineages within a subset of infected wells. Performing the UDSA on a subset of wells provides additional information that can improve IUPM estimation. This paper considers statistical inference about the IUPM from combined dilution assay (QVOA) and deep viral sequencing (UDSA) data, even when some deep sequencing data are missing. Methods are proposed to accommodate assays with wells sequenced at multiple dilution levels and with imperfect sensitivity and specificity, and a novel bias-corrected estimator is included for small samples. The proposed methods are evaluated in a simulation study, applied to data from the University of North Carolina HIV Cure Center, and implemented in the open-source R package SLDeepAssay.

Indexed as

HIV-1HIV InfectionsCD4-Positive T-LymphocytesComputer SimulationHumansViral LoadVirus Latencydistinct viral lineagesinfectious units per millionmaximum likelihood estimationmissing dataPoisson distributionserial limiting dilution assay

Identifiers

PMID38364812
PMCPMC10873562

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.