Evidence map›Paper›PMID 29666626›Full record

ArticleFrontiers in immunology2018

Next-Generation Immune Repertoire Sequencing as a Clue to Elucidate the Landscape of Immune Modulation by Host-Gut Microbiome Interactions.

Tatsuo Ichinohe, Takahiko Miyama, Takakazu Kawase, Yasuko Honjo, Kazutaka Kitaura, Hiroyuki Sato, Tadasu Shin-I, Ryuji Suzuki

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. A new lexicon in the age of microbiome research.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Aberrant mucosal immunoreaction to tonsillar microbiota in immunoglobulin A nephropathy.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Proteomics-inspired precision medicine for treating and understanding multiple myeloma.Expert review of precision medicine and drug development · 2020
    Article
  15. Article
  16. Personalized medicine-concepts, technologies, and applications in inflammatory skin diseases.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2019
    Review
  17. 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

8 authors at 2 institutions in 1 country.

Tatsuo IchinoheDepartment of Hematology and Oncology, Research Institute for Radiation Biology and Medicine (RIRBM), Hiroshima University, Hiroshima, Japan.
Takahiko MiyamaDepartment of Hematology and Oncology, Research Institute for Radiation Biology and Medicine (RIRBM), Hiroshima University, Hiroshima, Japan.
Takakazu KawaseDepartment of Hematology and Oncology, Research Institute for Radiation Biology and Medicine (RIRBM), Hiroshima University, Hiroshima, Japan.
Yasuko HonjoDepartment of Hematology and Oncology, Research Institute for Radiation Biology and Medicine (RIRBM), Hiroshima University, Hiroshima, Japan.
Kazutaka KitauraRepertoire Genesis Incorporation, Ibaraki, Japan.
Hiroyuki SatoRepertoire Genesis Incorporation, Ibaraki, Japan.
Tadasu Shin-IBITS Co. Ltd., Tokyo, Japan.
Ryuji SuzukiRepertoire Genesis Incorporation, Ibaraki, Japan.
Hiroshima University · JPNational Sagamihara Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human immune system is a fine network consisted of the innumerable numbers of functional cells that balance the immunity and tolerance against various endogenous and environmental challenges. Although advances in modern immunology have revealed a role of many unique immune cell subsets, technologies that enable us to capture the whole landscape of immune responses against specific antigens have been not available to date. Acquired immunity against various microorganisms including host microbiome is principally founded on T cell and B cell populations, each of which expresses antigen-specific receptors that define a unique clonotype. Over the past several years, high-throughput next-generation sequencing has been developed as a powerful tool to profile T- and B-cell receptor repertoires in a given individual at the single-cell level. Sophisticated immuno-bioinformatic analyses by use of this innovative methodology have been already implemented in clinical development of antibody engineering, vaccine design, and cellular immunotherapy. In this article, we aim to discuss the possible application of high-throughput immune receptor sequencing in the field of nutritional and intestinal immunology. Although there are still unsolved caveats, this emerging technology combined with single-cell transcriptomics/proteomics provides a critical tool to unveil the previously unrecognized principle of host-microbiome immune homeostasis. Accumulation of such knowledge will lead to the development of effective ways for personalized immune modulation through deeper understanding of the mechanisms by which the intestinal environment affects our immune ecosystem.

Indexed as

High-Throughput Nucleotide SequencingAdaptive ImmunityAnimalsGastrointestinal MicrobiomeHomeostasisHumansB-cell receptorshuman microbiomenext-generation immune repertoire sequencingsingle-cell transcriptomicsT-cell receptors

Identifiers

PMID29666626
PMCPMC5891584
OpenAlexW2789889750

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.