Evidence map›Paper›PMID 29856833›Full record

ArticlePloS one2018

Characterization of kidney CD45intCD11bintF4/80+MHCII+CX3CR1+Ly6C- "intermediate mononuclear phagocytic cells".

Sul A Lee, Sanjeev Noel, Mohanraj Sadasivam, Mohamad E Allaf, Phillip M Pierorazio, Abdel R A Hamad, Hamid Rabb

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Urinary UDP-sugars provide actionable prediction of acute kidney injury in cardiac surgery patients.American journal of physiology. Heart and circulatory physiology · 2026
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  6. T-cell receptor αβImmunology and cell biology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. CD4Journal of immunology (Baltimore, Md. : 1950) · 2020
    Article
  15. Article
  16. Bone marrow-derived Ly6CCell death & disease · 2019
    Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Sul A LeeDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID 0000-0003-2121-721X
Sanjeev NoelDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America.
Mohanraj SadasivamDepartment of Pathology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Mohamad E AllafDepartment of Urology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Phillip M PierorazioDepartment of Urology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Abdel R A HamadDepartment of Pathology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Hamid RabbDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America.
Johns Hopkins University · US

Funding

Acute Kidney Injury and Double Negative T CellsR01DK104662 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI HAMAD, ABDEL RAHIM, RABB, HAMID · 2015 to 2023
$3.8M
Targeting T lymphocyte Keap1 for acute kidney injuryR01DK111209 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI RABB, HAMID · 2016 to 2019
$1.8M
NIDDK NIH HHS R01 DK104662NIDDK NIH HHS R01 DK111209
6 · The paper itself

Abstract

Kidney immune cells play important roles in pathogenesis of many diseases, including ischemia-reperfusion injury (IRI) and transplant rejection. While studying murine kidney T cells, we serendipitously identified a kidney mononuclear phagocytic cell (MPC) subset characterized by intermediate surface expression of CD45 and CD11b. These CD45intCD11bint MPCs were further identified as F4/80+MHCII+CX3CR1+Ly6C- cells, comprising ~17% of total CD45+ cells in normal mouse kidney (P < 0.01) and virtually absent from all other organs examined except the heart. Systemic clodronate treatment had more significant depletive effect on the CD45intCD11bint population (77.3%±5.9%, P = 0.03) than on CD45highCD11b+ population (14.8%±16.6%, P = 0.49). In addition, CD45intCD11bint MPCs had higher phagocytic function in the normal kidney (35.6%±3.3% vs. 24.1%±2.2%, P = 0.04), but lower phagocytic capacity in post-ischemic kidney (54.9%±1.0% vs. 67.8%±1.9%, P < 0.01) compared to the CD45highCD11b+ population. Moreover, the CD45intCD11bint population had higher intracellular production of the pro-inflammatory tumor necrosis factor (TNF)-α (58.4%±5.2% vs. 27.3%±0.9%, P < 0.001) after lipopolysaccharide (LPS) stimulation and lower production of the anti-inflammatory interleukin (IL)-10 (7.2%±1.3% vs. 14.9%±2.2%, P = 0.02) following kidney IRI, suggesting a functional role under inflammatory conditions. The CD45intCD11bint cells increased early after IRI, and then abruptly decreased 48h later, whereas CD45highCD11b+ cells steadily increased after IRI before declining at 72h (P = 0.03). We also identified the CD45intCD11bint MPC subtype in human kidney. We conclude that CD45intCD11bint F4/80+MHCII+CX3CR1+Ly6C-population represent a unique subset of MPCs found in both mouse and human kidneys. Future studies will further characterize their role in kidney health and disease.

Indexed as

AnimalsAntigens, LyCarcinoma, Renal CellCD11b AntigenCX3C Chemokine Receptor 1Disease Models, AnimalHistocompatibility Antigens Class IIHumansKidneyKidney NeoplasmsLeukocyte Common AntigensMaleMiceMice, Inbred C57BLMonocytesNephrectomyAntigens, LyCD11b AntigenCX3C Chemokine Receptor 1Cx3cr1 protein, mouseHistocompatibility Antigens Class IILeukocyte Common AntigensLy-6C antigen, mousePTPRC protein, humanPtprc protein, mouse

Identifiers

PMID29856833
PMCPMC5983557
OpenAlexW2805511854

What OpenQuestion holds

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LicenceCC BY
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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.