Evidence map›Paper›PMID 38994377›Full record

ArticleFrontiers in transplantation2022

The cellular landscape of the normal kidney allograft: Main players balancing the alloimmune response.

Jennifer M McDaniels, Amol C Shetty, Thomas V Rousselle, Elissa Bardhi, Daniel G Maluf, Valeria R Mas

Abstract read
In one paragraph

Article in Frontiers in transplantation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

6 authors.

Jennifer M McDanielsSurgical Sciences Division, Department of Surgery, University of Maryland, Baltimore, MD, United States.
Amol C ShettyInstitute for Genome Sciences, School of Medicine, University of Maryland, Baltimore, MD, United States.
Thomas V RousselleSurgical Sciences Division, Department of Surgery, University of Maryland, Baltimore, MD, United States.
Elissa BardhiSurgical Sciences Division, Department of Surgery, University of Maryland, Baltimore, MD, United States.
Daniel G MalufProgram in Transplantation, School of Medicine, University of Maryland, Baltimore, MD, United States.
Valeria R MasSurgical Sciences Division, Department of Surgery, University of Maryland, Baltimore, MD, United States.

Funding

Assessment of Donor Quality for Improving Kidney Transplant OutcomesR01DK109581 · NIDDK · UNIVERSITY OF VIRGINIA · PI Kellie J. Archer, Valeria Raquel Mas · 2017 to 2026
$4.0M
Dissecting the role of dynamic epigenome prompting pathways leading to kidney allograft fibrosisR01DK122682 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI MAS, VALERIA RAQUEL · 2019 to 2023
$3.6M
NIDDK NIH HHS R01 DK109581NIDDK NIH HHS R01 DK122682
6 · The paper itself

Abstract

Despite recent advances made in short-term outcomes; minimal improvements have been observed in long-term kidney transplantation outcomes. Due to an imbalance between organ transplant availability and patient waiting list, expanding kidney allograft longevity is a critical need in the field. Prior studies have either focused on early ischemic and immunological conditions affecting kidney allografts (e.g., delayed graft function, acute rejection) or late stage chronic injury when interventions are no longer feasible. However, studies characterizing kidney allografts with normal function by its cellular distribution, cell-cell interactions, and associated molecular pathways are lacking. Herein, we used single nuclei RNA-sequencing to uncover the cellular landscape and transcriptome of the normal kidney allograft. We profiled 40,950 nuclei from seven human kidney biopsies (normal native,

Indexed as

alloimmune responsecore needle biopsieshuman kidneysingle nuclei RNA-sequencingtransplantation

Identifiers

PMID38994377
PMCPMC11235379

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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.