Evidence map›Paper›PMID 34328632›Full record

ReviewEuropean journal of drug metabolism and pharmacokinetics2021

Identifying Safety Thresholds for Immunosuppressive Drugs: Applying Insights from Primary Antibody Deficiencies to Mitigate Adverse Events in Secondary Antibody Deficiencies Using Mathematical Modeling of Preclinical and Early Clinical Data.

Irina Kareva, Anup Zutshi, Cristina Vazquez Mateo, Orestis Papasouliotis

Erratum issuedOpen access · hybridAbstract readReview
In one paragraph

Review in European journal of drug metabolism and pharmacokinetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

Irina KarevaQuantitative Pharmacology Department, EMD Serono Research and Development Institute, 45A Middlesex Turnpike, Billerica, MA, 01821, USA. Irina.Kareva@emdserono.com.ORCID http://orcid.org/0000-0003-1100-6806
Anup ZutshiQuantitative Pharmacology Department, EMD Serono Research and Development Institute, 45A Middlesex Turnpike, Billerica, MA, 01821, USA.
Cristina Vazquez MateoQuantitative Pharmacology Department, EMD Serono Research and Development Institute, 45A Middlesex Turnpike, Billerica, MA, 01821, USA.
Orestis PapasouliotisMerck Institute for Pharmacometrics (an affiliate of Merck KGaA, Darmstadt, Germany), Lausanne, Switzerland.
Ono Pharmaceutical (United States) · USMerck (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunosuppressive drugs can alleviate debilitating symptoms of autoimmune diseases, but, by the same token, excessive immune suppression can result in an increased risk of infection. Despite the dangers of a compromised immune system, clear definitions of what constitutes excessive suppression remain elusive. Here we review the most common infections associated with primary antibody deficiencies (PADs), such as agammaglobulinemia, common variable immunodeficiency (CVID), and IgA deficiency, as well as infections that are associated with drug-induced or secondary antibody immunodeficiencies (SADs). We identify a number of bacterial, viral, and fungal infections (e.g., Listeria monocytogenes, Staphylococcus sp., Salmonella spp., Escherichia coli, influenza, varicella zoster virus, and herpes simplex virus) associated with both PADs and SADs, and suggest that diagnostic criteria for PADs could be used as a first-line measure to identify potentially unsafe levels of immune suppression in SADs. Specifically, we suggest that, based on PAD diagnostic criteria, IgG levels should remain above 2-3 g/L, IgA levels should not fall below 0.07 g/L, and IgM levels should remain above 0.4 g/L to prevent immunosuppressive drugs from inducing mimicking PAD-like effects. We suggest that these criteria could be used in the early stages of drug development, and that pharmacokinetic and pharmacodynamic modeling could help guide patient selection to potentially improve drug safety. We illustrate the proposed approach using atacicept as an example and conclude with a discussion of the applicability of this approach for other drugs that may induce excessive immune suppression.

Indexed as

Autoimmune DiseasesDrug DevelopmentHumansImmunologic Deficiency SyndromesImmunosuppressive AgentsInfectionsModels, BiologicalModels, TheoreticalPrimary Immunodeficiency DiseasesImmunosuppressive Agents

Identifiers

PMID34328632
PMCPMC8478771
OpenAlexW3183428553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.