Evidence map›Paper›PMID 33790897›Full record

ArticleFrontiers in immunology2021

The Future of Blood Testing Is the Immunome.

Ramy A Arnaout, Eline T Luning Prak, Nicholas Schwab, Florian Rubelt, Adaptive Immune Receptor Repertoire Community

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 65 citations in OpenAlex.

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  8. ArXiv · 2026
    Article
  9. Review
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  11. Article
  12. Review
  13. Explore antibody repertoire in the era of AI.Acta biochimica et biophysica Sinica · 2025
    Article
  14. Machine learning in AIRR diagnostics: Advances and applications.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  15. Challenges and future directions of AIRR-seq-based diagnostics.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  16. Article
  17. Article
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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

5 authors at 2 institutions in 1 country.

Ramy A ArnaoutDepartment of Pathology and Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.
Eline T Luning PrakDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Nicholas SchwabDepartment of Neurology and Institute of Translational Neurology, University of Muenster, Muenster, Germany.
Florian RubeltRoche Sequencing Solutions, Pleasanton, CA, United States.
Adaptive Immune Receptor Repertoire Community
Harvard University · USUniversity of Pennsylvania · US

Funding

An Integrated Multilevel Modeling Framework for Repertoire-Based DiagnosticsR01AI148747 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ARNAOUT, RAMY · 2020 to 2024
$2.8M
NIAID NIH HHS R01 AI148747
6 · The paper itself

Abstract

It is increasingly clear that an extraordinarily diverse range of clinically important conditions-including infections, vaccinations, autoimmune diseases, transplants, transfusion reactions, aging, and cancers-leave telltale signatures in the millions of V(D)J-rearranged antibody and T cell receptor [TR per the Human Genome Organization (HUGO) nomenclature but more commonly known as TCR] genes collectively expressed by a person's B cells (antibodies) and T cells. We refer to these as the

Indexed as

Adaptive ImmunityHematologic TestsHigh-Throughput Nucleotide SequencingHumansReceptors, Antigen, T-CellReceptors, Antigen, T-Celladaptive immune receptor repertoire (AIRR)analysesantibody repertoireclinical laboratory testingdiagnostic testimmunomeimmunomicsT-cell receptor repertoire

Identifiers

PMID33790897
PMCPMC8005722
OpenAlexW3139321392

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.