Evidence map›Paper›PMID 27821769›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Protein aggregation as a cellular response to oxidative stress induced by heme and iron.

Luiz R C Vasconcellos, Fabianno F Dutra, Mariana S Siqueira, Heitor A Paula-Neto, Jennifer Dahan, Ellen Kiarely, Leticia A M Carneiro, Marcelo T Bozza, Leonardo H Travassos

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 90 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

9 authors at 1 institution in 1 country.

Luiz R C VasconcellosLaboratório de Imunoreceptores e Sinalização, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro RJ 21.941-902, Brazil.
Fabianno F DutraLaboratório de Inflamação e Imunidade, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro RJ 21.941-902, Brazil.
Mariana S SiqueiraLaboratório de Imunoreceptores e Sinalização, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro RJ 21.941-902, Brazil.
Heitor A Paula-NetoLaboratório de Alvos Moleculares, Faculdade de Farmácia, Universidade Federal do Rio de Janeiro, Rio de Janeiro RJ 21.941-902, Brazil.
Jennifer DahanLaboratório de Inflamação e Imunidade, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro RJ 21.941-902, Brazil.
Ellen KiarelyLaboratório de Imunoreceptores e Sinalização, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro RJ 21.941-902, Brazil.
Leticia A M CarneiroLaboratório de Inflamação e Imunidade, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro RJ 21.941-902, Brazil.
Marcelo T BozzaLaboratório de Inflamação e Imunidade, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro RJ 21.941-902, Brazil.
Leonardo H TravassosLaboratório de Imunoreceptores e Sinalização, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro RJ 21.941-902, Brazil; leo.travassos@biof.ufrj.br.
Universidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemolytic diseases include a variety of conditions with diverse etiologies in which red blood cells are destroyed and large amounts of hemeproteins are released. Heme has been described as a potent proinflammatory molecule that is able to induce multiple innate immune responses, such as those triggered by TLR4 and the NLRP3 inflammasome, as well as necroptosis in macrophages. The mechanisms by which eukaryotic cells respond to the toxic effects induced by heme to maintain homeostasis are not fully understood, however. Here we describe a previously uncharacterized cellular response induced by heme: the formation of p62/SQTM1 aggregates containing ubiquitinated proteins in structures known as aggresome-like induced structures (ALIS). This action is part of a response driven by the transcription factor NRF2 to the excessive generation of reactive oxygen species induced by heme that results in the expression of genes involved in antioxidant responses, including p62/SQTM1. Furthermore, we show that heme degradation by HO-1 is required for ALIS formation, and that the free iron released on heme degradation is necessary and sufficient to induce ALIS. Moreover, ferritin, a key protein in iron metabolism, prevents excessive ALIS formation. Finally, in vivo, hemolysis promotes an increase in ALIS formation in target tissues. Our data unravel a poorly understood aspect of the cellular responses induced by heme that can be explored to better understand the effects of free heme and free iron during hemolytic diseases such as sickle cell disease, dengue fever, malaria, and sepsis.

Indexed as

AnimalsFerritinsHEK293 CellsHemeHeme Oxygenase-1HumansIronMiceNF-E2-Related Factor 2Oxidative StressProtein AggregatesProteolysisRAW 264.7 CellsReactive Oxygen SpeciesSequestosome-1 ProteinUbiquitinationFerritinsHemeHeme Oxygenase-1HMOX1 protein, humanIronNFE2L2 protein, humanNF-E2-Related Factor 2Protein AggregatesReactive Oxygen SpeciesSequestosome-1 ProteinSQSTM1 protein, humanALISautophagyhemeironp62/SQSTM1

Identifiers

PMID27821769
PMCPMC5127311
OpenAlexW2549217003

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.