Evidence map›Paper›PMID 35307831›Full record

ArticleEuropean journal of immunology2022

Peripheral differentiation patterns of human T cells.

Nelli Heikkilä, Iivo Hetemäki, Silja Sormunen, Helena Isoniemi, Eliisa Kekäläinen, Jari Saramäki, T Petteri Arstila

Open access · hybridAbstract read
In one paragraph

Article in European journal of immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

7 authors at 3 institutions in 1 country.

Nelli HeikkiläTranslational Immunology Research Program (TRIMM), Research Programs Unit (RPU), Department of Bacteriology and Immunology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Iivo HetemäkiTranslational Immunology Research Program (TRIMM), Research Programs Unit (RPU), Department of Bacteriology and Immunology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Silja SormunenDepartment of Computer Science, Aalto University, Espoo, Finland.
Helena IsoniemiDivision of Transplantation and Liver Surgery, Helsinki University Central Hospital, Helsinki, Finland.
Eliisa KekäläinenTranslational Immunology Research Program (TRIMM), Research Programs Unit (RPU), Department of Bacteriology and Immunology, Medicum, Faculty of Medicine, HUSLAB Clinical Microbiology, University of Helsinki, and Helsinki University Central Hospital, Helsinki, Finland.
Jari SaramäkiDepartment of Computer Science, Aalto University, Espoo, Finland.
T Petteri ArstilaTranslational Immunology Research Program (TRIMM), Research Programs Unit (RPU), Department of Bacteriology and Immunology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
University of Helsinki · FIAalto University · FIHelsinki University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term T-cell memory is dependent on the maintenance of memory T cells in the lymphoid tissues, and at the surface interfaces that provide entry routes for pathogens. However, much of the current information on human T-cell memory is based on analyzing circulating T cells. Here, we have studied the distribution and age-related changes of memory T-cell subsets in samples from blood, mesenteric LNs, spleen, and ileum, obtained from donors ranging in age from 5 days to 67 years of age. Our data show that the main reservoir of polyclonal naive cells is found in the LNs, and the resting memory subsets capable of self-renewal are also prominent there. In contrast, nondividing but functionally active memory subsets dominate the spleen, and especially the ileum. In general, the replacement of naive cells with memory subsets continues throughout our period of observation, with no apparent plateau. In conclusion, the analysis of lymphoid and nonlymphoid tissues reveals a dynamic pattern of changes distinct to each tissue, and with substantial differences between CD4

Indexed as

Lymphoid TissueT-Lymphocyte SubsetsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCell DifferentiationHumansImmunologic MemoryLymphocyte CountSpleenLymphatic tissueRecent thymic emigrant T cellT-cell homeostasisT-cell memory

Identifiers

PMID35307831
PMCPMC9313577
OpenAlexW4220945861

What OpenQuestion holds

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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.