Evidence map›Paper›PMID 36722133›Full record

Trial reportThe Journal of infectious diseases2023

Second-Phase Hepatitis C Plasma Viral Kinetics Directly Reflects Reduced Intrahepatic Burden of Hepatitis C Virus.

Jaiprasath Sachithanandham, Ashwin Balagopal, Julia Leep-Lazar, Jeffrey Quinn, Kenneth Bowden, Kathleen Ward, Ruy M Ribeiro, Mark S Sulkowski

Registry-linked trialOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02938013 (deLIVER), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
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.

NCT02938013 phase4completednot on this map

deLIVER: Direct Acting Antiviral Effects on the Liver

TypeinterventionalSponsorJohns Hopkins UniversityRan2017 to 2020Enrolled15ConditionsHCV Coinfection, Liver Disease, HIVArmsSofosbuvir/Velpatasvir/Voxilaprevir [SOF/VEL/VOX], Sofosbuvir/Velpatasvir (SOF/VEL)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
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

8 authors at 4 institutions in 1 country.

Jaiprasath SachithanandhamW. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University School of Public Health, Baltimore, Maryland, USA.
Ashwin BalagopalDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Julia Leep-LazarLewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania, USA.
Jeffrey QuinnDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Kenneth BowdenApplied Physics Laboratory, Johns Hopkins University, Laurel, Maryland, USA.
Kathleen WardDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Ruy M RibeiroLos Alamos National Laboratory, Los Alamos, New Mexico, USA.
Mark S SulkowskiDivision of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins University · USJohns Hopkins University Applied Physics Laboratory · USLos Alamos National Laboratory · USTemple University · US

Funding

Spatial Models of Intrahepatic Hepatitis C Virus Propagation in HumansR01AI116868 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI ASHWIN BALAGOPAL, Ruy M Ribeiro · 2016 to 2026
$8.5M
Management/Hepatitis C/HIV-infected and Uninfected IDU'sR01DA016065 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SULKOWSKI, MARK SEBASTIAN · 2003 to 2018
$8.0M
NIAID NIH HHS R01 AI116868NIDA NIH HHS R01 DA016065
6 · The paper itself

Abstract

backgroundMathematical models explain how antivirals control viral infections. Hepatitis C virus (HCV) treatment results in at least 2 phases of decline in viremia. The first phase reflects clearance of rapidly produced virions. The second phase is hypothesized to derive from loss of infected cells but has been challenging to prove.

methodsUsing single-cell methods, we quantified the number of hepatitis C virus (HCV)-infected hepatocytes in liver biopsies taken before and within 7 days of initiating direct-acting antivirals (DAAs) in a double-blinded randomized controlled trial testing 2 (sofosbuvir-velpatasvir) versus 3 (sofosbuvir-velpatasvir-voxilaprevir) DAAs.

resultsWe employed thousands of intrahepatic measurements in 10 persons with chronic genotype 1a HCV infection: median proportion of infected hepatocytes declined from 11.3% (range, 1.3%-59%) to 0.6% (range, <0.3%-5.8%), a loss of 75%-95% infected hepatocytes. Plasma viremia correlated with numbers of HCV-infected hepatocytes (r = 0.77; P < .0001). Second-phase plasma dynamics and changes in infected hepatocytes were indistinct (P = .16), demonstrating that second-phase viral dynamics derive from loss of infected cells. DAAs led to a decline in intracellular HCV RNA and interferon-stimulated gene expression (P < .05 for both).

conclusionsWe proved that second-phase viral dynamics reflect decay of intrahepatic burden of HCV, partly due to clearance of HCV RNA from hepatocytes. CLINICAL TRIALS REGISTRATION: NCT02938013.

Indexed as

Hepatitis CHepatitis C, ChronicAntiviral AgentsBenzimidazolesBenzopyransCarbamatesGenotypeHepacivirusHeterocyclic Compounds, 4 or More RingsHumansKineticsLactams, MacrocyclicRNA, ViralSofosbuvirViremiaAntiviral AgentsBenzimidazolesBenzopyransCarbamatesHeterocyclic Compounds, 4 or More RingsLactams, MacrocyclicRNA, ViralSofosbuvirvelpatasvirdirect acting antivirals‌hepatitis C virusintrahepatic infectionsingle-cell laser capture microdissectionviral kinetics‌

Identifiers

PMID36722133
PMCPMC10420397
OpenAlexW4318755758

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.