Evidence map›Paper›PMID 24825521›Full record

ArticleTransplantation2014

Expansion and somatic hypermutation of B-cell clones in rejected human kidney grafts.

Jack Ferdman, Fabrice Porcheray, Baoshan Gao, Carolina Moore, Julie DeVito, Sarah Dougherty, Margaret V Thomas, Evan A Farkash, Nahel Elias, Tatsuo Kawai and 4 more

Open access · greenAbstract read
In one paragraph

Article in Transplantation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Targeting B Cells and Plasma Cells in Glomerular Diseases: Translational Perspectives.Journal of the American Society of Nephrology : JASN · 2018
    Review
  10. Review
  11. Article
  12. B lymphocytes in renal interstitial fibrosis.Journal of cell communication and signaling · 2017
    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

14 authors at 4 institutions in 2 countries.

Jack Ferdman1 Transplant Center, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA. 2 Transplant Center, First Hospital of Jilin University, Changchun, China. 3 Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA. 4 Division of Transplant Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA. 5 Renal Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA. 6 Address correspondence to: Emmanuel Zorn, Ph.D., Massachusetts General Hospital, Transplant Center, Thier 807, 55 Fruit St, Boston, MA 02114.
Fabrice Porcheray
Baoshan Gao
Carolina Moore
Julie DeVito
Sarah Dougherty
Margaret V Thomas
Evan A Farkash
Nahel Elias
Tatsuo Kawai
Sayeed K Malek
Stefan G Tullius
Waichi Wong
Emmanuel Zorn
Harvard University · USMassachusetts General Hospital · USBrigham and Women's Hospital · USFirst Hospital of Jilin University · CN

Funding

Immune Deregulation and Chronic Humoral Rejection of Kidney Allografts in HumansR01DK083352 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI ZORN, EMMANUEL · 2010 to 2014
$2.1M
Consequences of Aging on Immune Response and Transplant OutcomeR01AG039449 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI TULLIUS, STEFAN GUNTHER · 2012 to 2016
$1.6M
C4d-independent diagnosis of chronic antibody mediated renal allograft rejectionK23AI108951 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FARKASH, EVAN A · 2014 to 2018
$706k
Characterization of B cells infiltrating human kidney grafts during rejectionR56AI094524 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ZORN, EMMANUEL · 2011 to 2011
$332k
NIAID NIH HHS AI94524NIAID NIH HHS K23 AI108951NIAID NIH HHS R56 AI094524NIA NIH HHS R01 AG039449NIDDK NIH HHS DK083352NIDDK NIH HHS R01 DK083352
6 · The paper itself

Abstract

backgroundB-cell infiltrates are common in rejected kidney allografts, yet their composition is still unclear. The aim of our study was to characterize the clonal composition of B-cell infiltrates of rejected human kidney grafts.

methodsWe used a molecular approach to characterize the partial B-cell repertoires of 5 failed human kidney grafts with detectable B-cell infiltrates. A comparison between the intragraft and blood repertoire was also conducted for 1 case.

resultsRedundant sequences were observed in both blood and graft, although the level of clonal amplification was significantly higher for the graft. Somatic hypermutations (SHMs) were also more frequent in sequences found in the graft compared to the blood. The rate of nonsilent mutations was significantly higher in complementarity determining regions (CDRs) compared to framework regions in blood sequences as well as in graft sequences found at low frequency. In contrast, this preferential distribution was lost in sequences found at high frequency in the graft, suggesting a lack of affinity maturation in situ. Lastly, follicular dendritic cells were undetectable in CD20 infiltrates in all samples examined.

conclusionsWe provide here evidence that B-cell clones expand and undergo SHMs in situ. However, the even distribution of nonsilent SHM in high-frequency graft sequences together with the absence of follicular dendritic cells do not support the view that infiltrating B cells are part of functional germinal centers.

Indexed as

Kidney TransplantationMutationAdolescentAdultAllograftsAntigens, CD20B-LymphocytesCD4-Positive T-LymphocytesCells, CulturedChildDendritic CellsFemaleGraft RejectionHumansMaleMiddle AgedAntigens, CD20

Identifiers

PMID24825521
PMCPMC4188704
OpenAlexW2035591211

What OpenQuestion holds

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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.