Evidence map›Paper›PMID 39345409›Full record

ArticlebioRxiv : the preprint server for biology2024

Modeling suggests SARS-CoV-2 rebound after nirmatrelvir-ritonavir treatment is driven by target cell preservation coupled with incomplete viral clearance.

Tin Phan, Ruy M Ribeiro, Gregory E Edelstein, Julie Boucau, Rockib Uddin, Caitlin Marino, May Y Liew, Mamadou Barry, Manish C Choudhary, Dessie Tien and 15 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

25 authors.

Tin PhanTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87544, USA.
Ruy M RibeiroTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87544, USA.
Gregory E EdelsteinDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Julie BoucauRagon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA.
Rockib UddinDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Caitlin MarinoRagon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA.
May Y LiewDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Mamadou BarryDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Manish C ChoudharyDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Dessie TienDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Karry SuDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Zahra ReynoldsDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Yijia LiDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Shruti SagarDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Tammy D VyasDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Yumeko KawanoDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Jeffrey A SparksDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-5556-4618
Sarah P HammondDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Zachary WallaceDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Jatin M VyasDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-9985-9565
Jonathan Z LiDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Mark J SiednerDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Amy K BarczakRagon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA.ORCID 0000-0003-3806-2381
Jacob E LemieuxDepartment of Medicine, Massachusetts General Hospital, Havard Medical School, Boston, MA 02114, USA.
Alan S PerelsonTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87544, USA.ORCID 0000-0002-2455-0002

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BRYAN O BUCHHOLZ, Nathaniel Scott Hafer · 2018 to 2026
$141.0M
Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI PARK, DANIEL JOHN · 2014 to 2024
$66.5M
Characterization of Persistent COVID-19R01AI176287 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI Amy K Barczak, Jonathan Li · 2023 to 2026
$3.4M
NHLBI NIH HHS U54 HL143541NIAID NIH HHS R01 AI176287NIAID NIH HHS U19 AI110818
6 · The paper itself

Abstract

In a subset of SARS-CoV-2 infected individuals treated with the oral antiviral nirmatrelvir-ritonavir, the virus rebounds following treatment. The mechanisms driving this rebound are not well understood. We used a mathematical model to describe the longitudinal viral load dynamics of 51 individuals treated with nirmatrelvir-ritonavir, 20 of whom rebounded. Target cell preservation, either by a robust innate immune response or initiation of nirmatrelvir-ritonavir near the time of symptom onset, coupled with incomplete viral clearance, appear to be the main factors leading to viral rebound. Moreover, the occurrence of viral rebound is likely influenced by time of treatment initiation relative to the progression of the infection, with earlier treatments leading to a higher chance of rebound. Finally, our model demonstrates that extending the course of nirmatrelvir-ritonavir treatment, in particular to a 10-day regimen, may greatly diminish the risk for rebound in people with mild-to-moderate COVID-19 and who are at high risk of progression to severe disease. Altogether, our results suggest that in some individuals, a standard 5-day course of nirmatrelvir-ritonavir starting around the time of symptom onset may not completely eliminate the virus. Thus, after treatment ends, the virus can rebound if an effective adaptive immune response has not fully developed. These findings on the role of target cell preservation and incomplete viral clearance also offer a possible explanation for viral rebounds following other antiviral treatments for SARS-CoV-2.

Identifiers

PMID39345409
PMCPMC11429690

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

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.