Evidence map›Paper›PMID 37664617›Full record

ArticleiScience2023

Transcriptomic and proteomic assessment of tocilizumab response in a randomized controlled trial of patients hospitalized with COVID-19.

Haridha Shivram, Jason A Hackney, Carrie M Rosenberger, Anastasia Teterina, Aditi Qamra, Olusegun Onabajo, Jacqueline McBride, Fang Cai, Min Bao, Larry Tsai and 3 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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.

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

13 authors at 2 institutions in 2 countries.

Haridha ShivramGenentech, South San Francisco, CA 94080, USA.
Jason A HackneyGenentech, South San Francisco, CA 94080, USA.
Carrie M RosenbergerGenentech, South San Francisco, CA 94080, USA.
Anastasia TeterinaHoffmann-La Roche Ltd, Mississauga, ON L5N 5M8, Canada.
Aditi QamraHoffmann-La Roche Ltd, Mississauga, ON L5N 5M8, Canada.
Olusegun OnabajoGenentech, South San Francisco, CA 94080, USA.
Jacqueline McBrideGenentech, South San Francisco, CA 94080, USA.
Fang CaiGenentech, South San Francisco, CA 94080, USA.
Min BaoGenentech, South San Francisco, CA 94080, USA.
Larry TsaiGenentech, South San Francisco, CA 94080, USA.
Aviv RegevGenentech, South San Francisco, CA 94080, USA.
Ivan O RosasBaylor College of Medicine, Houston, TX 77030, USA.
Rebecca N BauerGenentech, South San Francisco, CA 94080, USA.
Roche (Canada) · CABaylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High interleukin (IL)-6 levels are associated with greater COVID-19 severity. IL-6 receptor blockade by tocilizumab (anti-IL6R; Actemra) is used globally for the treatment of severe COVID-19, yet a molecular understanding of the therapeutic benefit remains unclear. We characterized the immune profile and identified cellular and molecular pathways modified by tocilizumab in peripheral blood samples from patients enrolled in the COVACTA study, a phase 3, randomized, double-blind, placebo-controlled trial of the efficacy and safety of tocilizumab in hospitalized patients with severe COVID-19. We identified markers of inflammation, lymphopenia, myeloid dysregulation, and organ injury that predict disease severity and clinical outcomes. Proteomic analysis confirmed a pharmacodynamic effect for tocilizumab and identified novel pharmacodynamic biomarkers. Transcriptomic analysis revealed that tocilizumab treatment leads to faster resolution of lymphopenia and myeloid dysregulation associated with severe COVID-19, indicating greater anti-inflammatory activity relative to placebo and potentially leading to faster recovery in patients hospitalized with COVID-19.

Indexed as

OmicsPharmaceutical scienceVirology

Identifiers

PMID37664617
PMCPMC10470387
OpenAlexW4385717686

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.