Evidence map›Paper›PMID 38982122›Full record

ArticleScientific reports2024

Formation of the junctions between lymph follicles in the Peyer's patches even before postweaning activation.

Anri Teshigahara, Yuri Banba, Hiromi Yoshida, Mitsuji Kaji, Zhou Zhou, Nao Koyama, Yoshifumi Sakai, Niel A Karrow, Kouetsu Ogasawara, Ryota Hirakawa and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

13 authors.

Anri TeshigaharaInternational Education and Research Center for Food and Agricultural Immunology, Graduate School of Agricultural Science, Tohoku University, Miyagi, 980-8572, Japan.
Yuri BanbaInternational Education and Research Center for Food and Agricultural Immunology, Graduate School of Agricultural Science, Tohoku University, Miyagi, 980-8572, Japan.
Hiromi YoshidaInstitute of Development, Aging and Cancer, Tohoku University, Miyagi, 980-8575, Japan.
Mitsuji KajiInstitute of Development, Aging and Cancer, Tohoku University, Miyagi, 980-8575, Japan.
Zhou ZhouInternational Education and Research Center for Food and Agricultural Immunology, Graduate School of Agricultural Science, Tohoku University, Miyagi, 980-8572, Japan.
Nao KoyamaInternational Education and Research Center for Food and Agricultural Immunology, Graduate School of Agricultural Science, Tohoku University, Miyagi, 980-8572, Japan.
Yoshifumi SakaiInternational Education and Research Center for Food and Agricultural Immunology, Graduate School of Agricultural Science, Tohoku University, Miyagi, 980-8572, Japan.
Niel A KarrowDepartment of Animal Biosciences, University of Guelph, Ontario, N1G 2W1, Canada.
Kouetsu OgasawaraInstitute of Development, Aging and Cancer, Tohoku University, Miyagi, 980-8575, Japan.
Ryota HirakawaInternational Education and Research Center for Food and Agricultural Immunology, Graduate School of Agricultural Science, Tohoku University, Miyagi, 980-8572, Japan.
Jahidul IslamInternational Education and Research Center for Food and Agricultural Immunology, Graduate School of Agricultural Science, Tohoku University, Miyagi, 980-8572, Japan.
Mutsumi FurukawaInternational Education and Research Center for Food and Agricultural Immunology, Graduate School of Agricultural Science, Tohoku University, Miyagi, 980-8572, Japan.
Tomonori NochiInternational Education and Research Center for Food and Agricultural Immunology, Graduate School of Agricultural Science, Tohoku University, Miyagi, 980-8572, Japan. nochi@tohoku.ac.jp.

Funding

Institute of Development, Aging and Cancer, Tohoku University Grant for Joint Research ProjectJapan Science and Technology Agency JPMJSP2114Japan Society for the Promotion of Science 22H00393Resilience and Safety Studies, Tohoku University Grant for International Joint Graduate Program
6 · The paper itself

Abstract

Peyer's patches (PPs), which contain an abundance of B and T cells, play a key role in inducing pivotal immune responses in the intestinal tract. PPs are defined as aggregated lymph follicles, which consist of multiple lymph follicles (LFs) that may interact with each other in a synergistic manner. LFs are thought to be spherical in shape; however, the characteristics of their structure are not fully understood. To elucidate changes in the structure of PPs as individuals grow, we generated serial 2D sections from entire PPs harvested from mice at 2, 4, and 10 weeks of age and performed a 3D analysis using a software, Amira. Although the number of LFs in PPs was not changed throughout the experiment, the volume and surface area of LFs increased significantly, indicating that LFs in PPs develop continuously by recruiting immune cells, even after weaning. In response to the dramatic changes in the intestinal environment after weaning, the development of germinal centers (GCs) in LFs was observed at 4 and 10 weeks (but not 2 weeks) of age. In addition, GCs gradually began to form away from the center of LFs and close to the muscle layer where export lymphatic vessels develop. Importantly, each LF was joined to the adjacent LF; this feature was observed even in preweaning nonactivated PPs. These results suggest that PPs may have a unique organization and structure that enhance immune functions, allowing cells in LFs to have free access to adjacent LFs and egress smoothly from PPs to the periphery upon stimulation after weaning.

Indexed as

Peyer's PatchesWeaningAnimalsB-LymphocytesGerminal CenterIntercellular JunctionsMice3D analysisAmiraGerminal centersLymphoid folliclesPeyer’s patches

Identifiers

PMID38982122
PMCPMC11233632

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Registered trials

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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.