Evidence map›Paper›PMID 32303279›Full record

ReviewSeminars in nephrology2020

Ferritins in Kidney Disease.

Kayla McCullough, Subhashini Bolisetty

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Kayla McCulloughDivision of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Subhashini BolisettyDivision of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL. Electronic address: sbolisetty@uabmc.edu.
University of Alabama at Birmingham · US

Funding

Functional Significance of Ferritin Light Chain in Sepsis-associated Kidney InjuryR01DK122986 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BOLISETTY, SUBHASHINI · 2021 to 2025
$1.7M
Ferritin mediates epithelial cell-macrophage cross talk in acute kidney injuryK01DK103931 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BOLISETTY, SUBHASHINI · 2014 to 2018
$752k
NIDDK NIH HHS K01 DK103931NIDDK NIH HHS R01 DK122986
6 · The paper itself

Abstract

Ferritins are evolutionarily conserved proteins that regulate cellular iron metabolism. It is the only intracellular protein that is capable of storing large quantities of iron. Although the ratio of different subunits determines the iron content of each ferritin molecule, the exact mechanism that dictates organization of these subunits still is unclear. In this review, we address renal ferritin expression and its implication in kidney disease. Specifically, we address the role of ferritin subunits in preventing kidney injury and also promoting tolerance against infection-associated kidney injury. We describe functions for ferritin that are independent of its ability to ferroxidize and store iron. We further discuss the implications of ferritin in body fluids, including blood and urine, during inflammation and kidney disease. Although there are several in-depth review articles on ferritin in the context of iron metabolism, we chose to focus on the role of ferritin particularly in kidney health and disease and highlight unanswered questions in the field.

Indexed as

Acute Kidney InjuryAnimalsCarcinoma, Renal CellFerritinsFerroptosisHumansKidney NeoplasmsRenal Insufficiency, ChronicSepsisFerritinsFerritinferritinophagyferroptosisinjuryironkidney

Identifiers

PMID32303279
PMCPMC7172005
OpenAlexW3016894834

What OpenQuestion holds

Textmetadata
LicenceTDM
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.