Olivier Terrier

Dr. Olivier Terrier

Centre International de Recherche en Infectiologie, Lyon, France
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 July 2020 in Nature
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Journal Article
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PMPauline Maisonnasse
Pauline Maisonnasse
JGJeremie Guedj
Jeremie Guedj
VCVanessa Contreras
Vanessa Contreras
SBSylvie Behillil
Sylvie Behillil
CSCaroline Solas
Caroline Solas
RGRoger Le Grand
Roger Le Grand

7 August 2020 in CPT: Pharmacometrics & Systems Pharmacology
Verified
Journal Article
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AGAntonio Gonçalves
Antonio Gonçalves
JBJulie Bertrand
Julie Bertrand
RKRuian Ke
Ruian Ke
ECEmmanuelle Comets
Emmanuelle Comets
XLXavier de Lamballerie
Xavier de Lamballerie
JGJeremie Guedj
Jeremie Guedj
We modeled the viral dynamics of 13 untreated patients infected with severe acute respiratory syndrome‐coronavirus 2 to infer viral growth parameters and predict the effects of antiviral treatments. In order to reduce peak viral load by more than two logs, drug efficacy needs to be > 90% if treatment is administered after symptom onset; an efficacy of 60% could be sufficient if treatment is initiated before symptom onset. Given their pharmacokinetic/pharmacodynamic properties, current investigated drugs may be in a range of 6–87% efficacy. They may help control virus if administered very early, but may not have a major effect in severely ill patients.

1 July 2020 in Cell Reports Medicine
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Journal Article
Open access
MPMario Andrés Pizzorno
Mario Andrés Pizzorno
BPBlandine Padey
Blandine Padey
TJThomas Julien
Thomas Julien
STSophie Trouillet-Assant
Sophie Trouillet-Assant
ATAurélien Traversier
Aurélien Traversier
MRManuel Rosa-Calatrava
Manuel Rosa-Calatrava
In the current COVID-19 pandemic context, proposing and validating effective treatments represents a major challenge. However, the scarcity of biologically relevant pre-clinical models of SARS-CoV-2 infection imposes a significant barrier for scientific and medical progress, including the rapid transition of potentially effective treatments to the clinical setting. We use reconstituted human airway epithelia to isolate and then characterize the viral infection kinetics, tissue-level remodeling of the cellular ultrastructure, and transcriptional early immune signatures induced by SARS-CoV-2 in a physiologically relevant model. Our results emphasize distinctive transcriptional immune signatures between nasal and bronchial HAE, both in terms of kinetics and intensity, hence suggesting putative intrinsic differences in the early response to SARS-CoV-2 infection. Most important, we provide evidence in human-derived tissues on the antiviral efficacy of remdesivir monotherapy and explore the potential of the remdesivir-diltiazem combination as an option worthy of further investigation to respond to the still-unmet COVID-19 medical need.

1 July 2014 in mBio
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Journal Article
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JDJulia Dubois
Julia Dubois
OTOlivier Terrier
Olivier Terrier
MRManuel Rosa-Calatrava
Manuel Rosa-Calatrava
During their nuclear replication stage, influenza viruses hijack the host splicing machinery to process some of their RNA segments, the M and NS segments. In this review, we provide an overview of the current knowledge gathered on this interplay between influenza viruses and the cellular spliceosome, with a particular focus on influenza A viruses (IAV). These viruses have developed accurate regulation mechanisms to reassign the host spliceosome to alter host cellular expression and enable an optimal expression of specific spliced viral products throughout infection. Moreover, IAV segments undergoing splicing display high levels of similarity with human consensus splice sites and their viral transcripts show noteworthy secondary structures. Sequence alignments and consensus analyses, along with recently published studies, suggest both conservation and evolution of viral splice site sequences and structure for improved adaptation to the host. Altogether, these results emphasize the ability of IAV to be well adapted to the host’s splicing machinery, and further investigations may contribute to a better understanding of splicing regulation with regard to viral replication, host range, and pathogenesis.

1 September 2020 in Antiviral Research
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Journal Article
Closed access
MPMario Andrés Pizzorno
Mario Andrés Pizzorno
BPBlandine Padey
Blandine Padey
JDJulia Dubois
Julia Dubois
TJThomas Julien
Thomas Julien
ATAurélien Traversier
Aurélien Traversier
OTOlivier Terrier
Olivier Terrier

16 September 2013 in Proceedings of the National Academy of Sciences
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Journal Article
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BEBoris Essere
Boris Essere
MYMatthieu Yver
Matthieu Yver
CGCyrille Gavazzi
Cyrille Gavazzi
OTOlivier Terrier
Olivier Terrier
CICatherine Isel
Catherine Isel
VMVincent Moules
Vincent Moules
The fragmented nature of the influenza A genome allows the exchange of gene segments when two or more influenza viruses infect the same cell, but little is known about the rules underlying this process. Here, we studied genetic reassortment between the A/Moscow/10/99 (H3N2, MO) virus originally isolated from human and the avian A/Finch/England/2051/91 (H5N2, EN) virus and found that this process is strongly biased. Importantly, the avian HA segment never entered the MO genetic background alone but always was accompanied by the avian PA and M fragments. Introduction of the 5′ and 3′ packaging sequences of HAMO into an otherwise HAEN backbone allowed efficient incorporation of the chimerical viral RNA (vRNA) into the MO genetic background. Furthermore, forcing the incorporation of the avian M segment or introducing five silent mutations into the human M segment was sufficient to drive coincorporation of the avian HA segment into the MO genetic background. These silent mutations also strongly affected the genotype of reassortant viruses. Taken together, our results indicate that packaging signals are crucial for genetic reassortment and that suboptimal compatibility between the vRNA packaging signals, which are detected only when vRNAs compete for packaging, limit this process.