Evidence map›Paper›PMID 35928820›Full record

ArticleFrontiers in immunology2022

Optimisation of anti-interleukin-6 therapy: Precision medicine through mathematical modelling.

Jean-François Rossi, Hao-Chun Chiang, Zhao-Yang Lu, Kalle Levon, Frits van Rhee, Karan Kanhai, David C Fajgenbaum, Bernard Klein

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
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 7 institutions in 3 countries.

Jean-François RossiHématologie-Immunothérapie, Institut du Cancer Avignon-Provence, Sainte Catherine, Avignon, France.
Hao-Chun ChiangNew York University (NYU) Tandon School of Engineering, Brooklyn, NY, United States.
Zhao-Yang LuUnité de Thérapie Cellulaire, CHU Montpellier Saint-Eloi, Montpellier, France.
Kalle LevonNew York University (NYU) Tandon School of Engineering, Brooklyn, NY, United States.
Frits van RheeMyeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Karan KanhaiMedical Affairs, EUSA Pharma, Hemel Hempstead, United Kingdom.
David C FajgenbaumCenter for Cytokine Storm Treatment & Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Bernard KleinFaculté de Médecine Montpellier, Université de Montpellier, Montpellier, France.
New York University · USHôpital Saint Eloi · FRInstitut Sainte Catherine · FRUniversité de Montpellier · FRUniversity of Arkansas for Medical Sciences · USUniversity of Pennsylvania · USVerona Pharma (United Kingdom) · GB

Funding

mTOR as a Central Regulator of iMCD Pathogenesis and Novel Therapeutic TargetR01HL141408 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Taku Kambayashi · 2018 to 2026
$6.1M
6 · The paper itself

Abstract

Background: Dysregulated interleukin (IL)-6 production can be characterised by the levels present, the kinetics of its rise and its inappropriate location. Rapid, excessive IL-6 production can exacerbate tissue damage in vital organs. In this situation, therapy with an anti-IL-6 or anti-IL-6 receptor (IL-6R) monoclonal antibody, if inappropriately dosed, may be insufficient to fully block IL-6 signalling and normalise the immune response. Methods: We analysed inhibition of C-reactive protein (CRP) - a biomarker for IL-6 activity - in patients with COVID-19 or idiopathic multicentric Castleman disease (iMCD) treated with tocilizumab (anti-IL-6R) or siltuximab (anti-IL-6), respectively. We used mathematical modelling to analyse how to optimise anti-IL-6 or anti-IL-6R blockade for the high levels of IL-6 observed in these diseases. Results: IL-6 signalling was insufficiently inhibited in patients with COVID-19 or iMCD treated with standard doses of anti-IL-6 therapy. Patients whose disease worsened throughout therapy had only partial inhibition of CRP production. Our model demonstrated that, in a scenario representative of iMCD with persistent high IL-6 production not controlled by a single dose of anti-IL-6 therapy, repeated administration more effectively inhibited IL-6 activity. In a situation with rapid, high, dysregulated IL-6 production, such as severe COVID-19 or a cytokine storm, repeated daily administration of an anti-IL-6/anti-IL-6R agent, or alternating daily doses of anti-IL-6 and anti-IL-6R therapies, could neutralise IL-6 activity. Conclusion: In clinical practice, IL-6 inhibition should be individualised based on pathophysiology to achieve full blockade of CRP production. Funding: EUSA Pharma funded medical writing assistance and provided access to the phase II clinical data of siltuximab for analysis.

Indexed as

Castleman DiseaseCOVID-19 Drug TreatmentC-Reactive ProteinCytokine Release SyndromeHumansPrecision MedicineC-Reactive ProteinCOVID-19C-reactive proteincytokine stormidiopathic multicentric castleman diseaseinterleukin-6mathematic modelsiltuximabtocilizumab

Identifiers

PMID35928820
PMCPMC9345304
OpenAlexW4285797907

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.