Evidence map›Paper›PMID 34945819›Full record

ArticleJournal of personalized medicine2021

Assessing Blood-Based Biomarkers to Define a Therapeutic Window for Natalizumab.

Júlia Granell-Geli, Cristina Izquierdo-Gracia, Ares Sellés-Rius, Aina Teniente-Serra, Silvia Presas-Rodríguez, María José Mansilla, Luis Brieva, Javier Sotoca, María Alba Mañé-Martínez, Ester Moral and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Personalized Diagnosis and Therapy for Multiple Sclerosis.Journal of personalized medicine · 2022
    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

14 authors at 7 institutions in 2 countries.

Júlia Granell-GeliDivision of Immunology, LCMN Hospital Universitari Germans Trias i Pujol and Research Institute, Campus Can Ruti, 08916 Badalona, Spain.ORCID 0000-0002-3369-9765
Cristina Izquierdo-GraciaMultiple Sclerosis Unit, Department of Neurosciences, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain.
Ares Sellés-RiusDivision of Immunology, LCMN Hospital Universitari Germans Trias i Pujol and Research Institute, Campus Can Ruti, 08916 Badalona, Spain.ORCID 0000-0002-9745-7749
Aina Teniente-SerraDivision of Immunology, LCMN Hospital Universitari Germans Trias i Pujol and Research Institute, Campus Can Ruti, 08916 Badalona, Spain.
Silvia Presas-RodríguezMultiple Sclerosis Unit, Department of Neurosciences, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain.
María José MansillaDivision of Immunology, LCMN Hospital Universitari Germans Trias i Pujol and Research Institute, Campus Can Ruti, 08916 Badalona, Spain.ORCID 0000-0002-5044-6313
Luis BrievaMultiple Sclerosis Unit, Hospital Universitari Arnau de Vilanova, 25198 Lleida, Spain.
Javier SotocaNeurology Service, Hospital Universitari Mútua Terrassa, 08221 Terrassa, Spain.
María Alba Mañé-MartínezNeurology Service, Hospital Universitari Joan XXIII, Universitat Rovira i Virgili, 43005 Tarragona, Spain.
Ester MoralMultiple Sclerosis Unit, Hospital Sant Joan Despí Moisès Broggi, 08970 Sant Joan Despí, Spain.
Irene BragadoMultiple Sclerosis Unit, Department of Neurosciences, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain.
Susan GoelzBiogen Idec, Cambridge, MA 02142, USA.
Eva Martínez-CáceresDivision of Immunology, LCMN Hospital Universitari Germans Trias i Pujol and Research Institute, Campus Can Ruti, 08916 Badalona, Spain.
Cristina Ramo-TelloMultiple Sclerosis Unit, Department of Neurosciences, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain.ORCID 0000-0001-8643-5053
Hospital Universitari Germans Trias i Pujol · ESUniversitat Autònoma de Barcelona · ESBiogen (United States) · USHospital de Sant Joan Despí Moisès Broggi · ESHospital Universitari Arnau de Vilanova · ESHospital Universitari Joan XXIII de Tarragona · ESMútua Terrassa · ES

Funding

Biogen (United States) 001Instituto de Salud Carlos III CD19/00209
6 · The paper itself

Abstract

Natalizumab is a monoclonal antibody that binds CD49d. Although it is one of the most effective treatments for Relapsing-Remitting Multiple Sclerosis (RRMS), a dosing regimen has not been optimized for safety and efficacy in individual patients. We aimed to identify biomarkers to monitor Natalizumab treatment and to establish a personalized dose utilizing an ongoing longitudinal study in 29 RRMS patients under Natalizumab with standard interval dose (SD) of 300 mg/4wks or extended interval dose (EID) of 300 mg/6wks. Blood samples were analyzed by flow cytometry to determine CD49d saturation and expression in several T and B lymphocytes subpopulations. Each patient was analyzed at two different timepoints separated by 3 Natalizumab administrations. Natalizumab and sVCAM-1 levels in serum were also analyzed using ELISA. To determine the reproducibility of various markers, two different timepoints were compared and no significant differences were observed for CD49d expression nor for saturation; SD patients had higher saturation levels (~80%) than EID patients (~60%). A positive correlation exists between CD49d saturation and Natalizumab serum levels. CD49d expression and saturation are stable parameters that could be used as biomarkers in the immunomonitoring of Natalizumab treatment. Moreover, Natalizumab and sVCAM-1 serum levels could be used to optimize an individual's dosing schedule.

Indexed as

biomarkerCD49dextended interval doseimmunomonitoringmultiple sclerosisnatalizumabpersonalized dosesVCAM-1

Identifiers

PMID34945819
PMCPMC8706232
OpenAlexW4200443516

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.