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Enregistrement W2521843879 · doi:10.1093/eurheartj/ehw386

Unravelling the molecular basis for cardiac iron metabolism and deficiency in heart failure

2016· letter· en· W2521843879 sur OpenAlexaff
Pavel Zhabyeyev, Gavin Y. Oudit

Notice bibliographique

RevueEuropean Heart Journal · 2016
Typeletter
Langueen
DomaineMedicine
ThématiqueIron Metabolism and Disorders
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicineHeart failureCardiologyInternal medicineIron deficiencyPhysiologyAnemia

Résumé

récupéré en direct d'OpenAlex

This editorial refers to ‘Iron-regulatory proteins secure iron availability in cardiomyocytes to prevent heart failure’†, by S. Haddad et al., on page 362. Major physiological functions of iron include oxygen transport as a component of haemoglobin in blood (and myoglobin in striated muscle), energy production through oxidative phosphorylation as an integral component of iron–sulphur cluster-containing enzymes such as cytochromes, NADPH, and succinate dehydrogenases, and as a component of peroxide- and nitric oxide-generating enzymes.1 Iron metabolism is a balancing act, and biological systems have evolved exquisite regulatory mechanisms to maintain iron homeostasis. Once iron is absorbed via the enterocyte, it is bound to specific iron transport proteins (transferrin) and iron storage proteins (ferritin) in a tightly regulated system that controls iron availability to the cells and tissues including the bone marrow for erythropoiesis. Two iron-regulatory proteins, IRP-1 and IRP-2, have important roles in maintaining intracellular iron homeostasis. In response to changes in iron availability and redox signals, IRP-1 and IRP-2 bind iron-response elements that regulate transcription of the transferrin receptor, ferritin, and other proteins.2 Disturbances in iron metabolism can have dramatic pathological effects on the heart: iron overload leading to cardiomyopathy2–4 and iron deficiency exacerbating clinical outcomes in patients with heart failure.5,6 In patients with chronic heart failure, anaemia is an independent predictor of mortality and hospitalizations for HF, and iron deficiency, either absolute or functional, is an independent predictor of clinical outcomes and exercise intolerance, even in the absence of anaemia.5,6 Relationship between myocardial iron homeostasis and the development of heart failure. (A) Cellular homeostasis of iron and ATP production in normal, IRP1/2-deficent, and IRP1/2-deficient with iron-supplemented cardiomyocytes. (B) Link between IRP1/2 deficiency, iron homeostasis, ATP production, and heart failure. (C) Therapeutic strategies aimed at improving myocardial iron levels and clinical outcomes in patients with heart failure. IRP1/2, iron response protein 1 and 2; Trf1, transferrin receptor 1; Fpn, ferroportin; DMT1, divalent metal transporter 1; ACEi, angiotensin-converting enzyme inhibitor; MRA, mineralocorticoid receptor antagonist. The heart has the highest metabolic demands in the body, and energy production determined largely by mitochondrial function must closely match energy requirements.11,12,In vivo magnetic resonance spectroscopy showed a decline in the left ventricular (LV) phosphocreatine/ATP ratio in response to dobutamine challenge which correlated with reduced mitochondrial complex I activity10 which is clearly associated with heart disease as seen in patients with complex I deficiencies. These metabolic perturbations sensitize the IRP1/2-deficient heart and resulted in reduced survival, worsened systolic function, and heart failure in response to myocardial infarction.10 The importance of these findings are further supported by the myocardial iron deficiency and aggressive cardiomyopathy reported in cardiac-specific deletion of the transferrin receptor, a phenotype also rescued by systemic iron supplementation.9 The protein levels of mitochondrial ferritin and mitochondrial ATP-binding cassette transporter 7 were increased, and direct disturbance in mitochondrial iron metabolism and mitophagy may have also contributed to the maladaptive responses seen in the IRP1/2-deficient hearts. Haddad et al. demonstrated that in the absence of iron-deficiency anaemia, increased systemic iron treatment rescued the myocardial iron deficiency in the IRP1/2-deficient hearts, and restored mitochondrial function and the ability of the heart to respond to metabolic demands and injury (Figure 1B).10 These pre-clinical findings, which are consistent with the clinical benefits seen with iron supplementation in patients with iron deficiency and heart failure, raise the intriguing idea that systemic iron replacement should be tried in HF before the onset of systemic iron deficiency, especially in the setting of acute injury and stress to the myocardium. Based on the findings in the cardiac-specific IRP1/210 and transferrin-deficient9 mice, clinical trials of systemic iron supplementation in patients with heart failure in the absence of iron deficiency are certainly warranted. Iron deficiency affects up to 50% of heart failure patients, and use of i.v. iron has favourable effects on the functional status, quality of life, and exercise capacity in heart failure patients, and iron supplementation therapy has emerged as an important therapy in heart failure.6 The ability of iron supplementation to replenish depleted cardiac iron stores even when myocardial transferrin receptor expression is low suggests that non-transferrin-bound iron uptake may become more important under these circumstances. Myocardial L-type Ca2+ channels are a major mediator of non-transferrin-bound iron uptake,7 and antagonizing this compensatory pathway is consistent with the worsened clinical outcomes in heart failure patients treated with calcium channel blockers. In explanted failing human hearts, myocardial iron content was reduced in heart failure accompanied by a significant reduction in the myocardial mRNA expression of transferrin receptor, which plays a key role in cellular iron transport.13 The use of human explanted hearts adds clinical relevance to the experimental findings from pre-clinical studies and represents an important translational bridge for cardiovascular medicine that should be incorporated routinely in the evaluation of pre-clinical models of human disease. In the context of heart failure, both catecholamines and aldosterone down-regulated transferrin receptor expression in isolated cardiomyocytes.13 These molecular signalling findings provide further validation of the importance of the blockade of these pathways by using angiotensin-converting enzyme (ACE) inhibitors, beta-adrenergic receptor blockers, and mineralocorticoid receptor antagonists as key therapeutic agents for patients with heart failure (Figure 1C).14,15 The identification of pathological signalling pathways continues to be a holy grail in the elucidation of the key pathophysiological events in heart failure, and the findings of Haddad et al. have certainly added to this. Future studies may need to consider how other potential mechanisms for iron transport, such as the divalent metal transporter and ferroportin, impact on myocardial iron metabolism and heart disease. While we aimed to optimize myocardial iron levels in HF patients, we must be cautious against overcorrection which would lead to myocardial iron overload and worsening clinical outcomes. Close monitoring of haemoglobin levels, biochemical assessment of iron stores, and clinical assessment should be used regularly in order to attain an iron-repleted state while avoiding iron overload in HF patients. We acknowledge financial support from the Canadian Institutes of Health Research, Heart and Stroke Foundation, and Alberta Innovates-Health Solutions. Conflict of interest: none declared.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,002
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0130,014
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,260
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations27
Publié2016
Routes d'admission1
Résumé présentnon

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