Evidence map›Paper›PMID 34395780›Full record

ArticleBio-protocol2018

Identification and Quantitation of Leukocyte Populations in Human Kidney Tissue by Multi-parameter Flow Cytometry.

Katrina Kildey, Becker M P Law, Kimberly A Muczynski, Ray Wilkinson, Healy Helen, Andrew J Kassianos

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 2 countries.

Katrina KildeyConjoint Kidney Research Laboratory, Pathology Queensland, Brisbane, Queensland, Australia.
Becker M P LawConjoint Kidney Research Laboratory, Pathology Queensland, Brisbane, Queensland, Australia.
Kimberly A MuczynskiDivision of Nephrology, University of Washington, Seattle, Washington, USA.
Ray WilkinsonConjoint Kidney Research Laboratory, Pathology Queensland, Brisbane, Queensland, Australia.
Healy HelenConjoint Kidney Research Laboratory, Pathology Queensland, Brisbane, Queensland, Australia.
Andrew J KassianosConjoint Kidney Research Laboratory, Pathology Queensland, Brisbane, Queensland, Australia.
Royal Brisbane and Women's Hospital · AUQueensland University of Technology · AUUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory immune cells play direct pathological roles in cases of acute kidney injury (AKI) and chronic kidney disease (CKD). However, the identification and characterization of distinct populations of leukocytes in human kidney biopsies have been confounded by the limitations of immunohistochemical (IHC)-based techniques used to detect them. This methodology is not amenable to the combinations of multiple markers necessary to unequivocally define discrete immune cell populations. We have developed a multi-parameter, flow cytometric-based approach that addresses the need for panels of cell-specific markers in the identification of immune cell populations, allowing both the accurate detection and quantitation of leukocyte subpopulations from a single, clinical kidney biopsy specimen. In this approach, fresh human kidney tissue is dissociated into a single cell suspension followed by antibody-labeling and flow cytometric-based acquisition and analysis. This novel technique provides a major step forward in identifying and enumerating immune cell subpopulations in human kidney disease and is a powerful platform to complement traditional histopathological examinations of clinical kidney biopsies.

Indexed as

Flow cytometryImmunologyKidneyKidney biopsyLeukocytes

Identifiers

PMID34395780
PMCPMC8328643
OpenAlexW2888136829

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.