Evidence map›Paper›PMID 38357719›Full record

ArticleAmerican journal of physiology. Renal physiology2024

Distinct developmental reprogramming footprint of macrophages during acute kidney injury across species.

Michal Mrug, Elias Mrug, Frida Rosenblum, Jiandong Chen, Xiangqin Cui, Anupam Agarwal, Abolfazl Zarjou

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Renal physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. ST2 Signaling Regulates Innate Immune Responses in Kidney Injury.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Role of local complement activation in kidney fibrosis and repair.The Journal of clinical investigation · 2025
    Review
  6. Review
  7. Tubulointerstitial nephritis in children and adolescents.Pediatric nephrology (Berlin, Germany) · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Michal MrugDepartment of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.ORCID 0000-0001-8981-1843
Elias MrugMath-Science Department, Alabama School of Fine Arts, Birmingham, Alabama, United States.
Frida RosenblumDepartment of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, United States.
Jiandong ChenDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States.
Xiangqin CuiDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States.ORCID 0000-0003-0621-9313
Anupam AgarwalDepartment of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.ORCID 0000-0003-4276-5186
Abolfazl ZarjouDepartment of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, United States.ORCID 0000-0002-8676-847X
University of Alabama at Birmingham · USEmory University · USAlabama School of Fine Arts · US

Funding

UAB Childhood Cystic Kidney Disease Core Center (UAB-CCKDCC) - Therapeutic Development and Screening ResourceU54DK126087 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Bradley K. Yoder · 2020 to 2026
$6.7M
UAB-UCSD O'Brien Center for Acute Kidney Injury ResearchU54DK137307 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI PAUL W. SANDERS · 2023 to 2026
$4.4M
Regulation of Macrophage Phenotype by Ferritin Heavy Chain in CKDR01DK134402 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Abolfazl Zarjou · 2023 to 2026
$1.6M
HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) DK134402HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) DK137307NIDDK NIH HHS R01 DK134402NIDDK NIH HHS U54 DK126087NIDDK NIH HHS U54 DK137307PKD Foundation (PKDF) U54DK126087
6 · The paper itself

Abstract

Acute kidney injury (AKI) is a common finding in hospitalized patients, particularly those who are critically ill. The development of AKI is associated with several adverse outcomes including mortality, morbidity, progression to chronic kidney disease, and an increase in healthcare expenditure. Despite the well-established negative impact of AKI and rigorous efforts to better define, identify, and implement targeted therapies, the overall approach to the treatment of AKI continues to principally encompass supportive measures. This enduring challenge is primarily due to the heterogeneous nature of insults that activate many independent and overlapping molecular pathways. Consequently, it is evident that the identification of common mechanisms that mediate the pathogenesis of AKI, independent of etiology and engaged pathophysiological pathways, is of paramount importance and could lead to the identification of novel therapeutic targets. To better distinguish the commonly modulated mechanisms of AKI, we explored the transcriptional characteristics of human kidney biopsies from patients with acute tubular necrosis (ATN), and acute interstitial nephritis (AIN) using a NanoString inflammation panel. Subsequently, we used publicly available single-cell transcriptional resources to better interpret the generated transcriptional findings. Our findings identify robust acute kidney injury (AKI-induced) developmental reprogramming of macrophages (MΦ) with the expansion of

Indexed as

Acute Kidney InjuryKidney Tubular Necrosis, AcuteNephritis, InterstitialAnimalsComplement C1qHumansKidneyMacrophagesMiceComplement C1qAKIC1QCD163developmental reprogrammingmacrophages

Identifiers

PMID38357719
PMCPMC11208015
OpenAlexW4391840780

What Socratic 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 Socratic graph.