Evidence map›Paper›PMID 26140903›Full record

ArticleInflammation2015

Lymphoid-Like Structures with Distinct B Cell Areas in Kidney Allografts are not Predictive for Graft Rejection. A Non-human Primate Study.

Margreet Jonker, Jacqueline A M Wubben, Bert A 't Hart, Krista G Haanstra

Abstract read
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In one paragraph

Article in Inflammation, 2015. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. B lymphocytes in renal interstitial fibrosis.Journal of cell communication and signaling · 2017
    Review
  6. 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

4 authors.

Margreet JonkerBiomedical Primate Research Centre, PO box 3306, 2280 GH, Rijswijk, The Netherlands.
Jacqueline A M WubbenBiomedical Primate Research Centre, PO box 3306, 2280 GH, Rijswijk, The Netherlands.
Bert A 't HartBiomedical Primate Research Centre, PO box 3306, 2280 GH, Rijswijk, The Netherlands.
Krista G HaanstraBiomedical Primate Research Centre, PO box 3306, 2280 GH, Rijswijk, The Netherlands. haanstra@bprc.nl.ORCID http://orcid.org/0000-0002-7654-5096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney allograft biopsies were analyzed for the presence of B cell clusters/aggregates using CD20 staining. Few B cells were found in the diffuse interstitial infiltrates, but clusters of B cells were found in nodular infiltrates. These nodular infiltrates were smaller shortly after transplantation, and their size increased over time. At the time of clinical rejection, the nodules often presented as tertiary lymphoid structures (TLS) with lymphoid-like follicles. The presence of small B cell clusters during the first 2 months after transplantation was not associated with early rejection. Even in animals that did not reject their allograft, TLS-like structures were present and could disappear over time. Although TLS were more often found in samples with interstitial fibrosis and tubular atrophy (IFTA), TLS were also present in samples without IFTA. The presence and density of clusters resembling tertiary lymphoid structures most likely reflect an ongoing immune response inside the graft and do not necessarily signify a poor graft outcome or IFTA.

Indexed as

AllograftsAnimalsAntigens, CD20AtrophyBiomarkersBiopsyB-LymphocytesFibrosisGraft RejectionImmunohistochemistryKidneyKidney TransplantationLymphoid TissueMacaca mulattaModels, AnimalTime FactorsAntigens, CD20Biomarkersallograftnon-human primatetertiary lymphoid structuretransplant rejection

Identifiers

What OpenQuestion holds

Textmetadata
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.