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Enregistrement W2596304870 · doi:10.1182/blood.v128.22.1289.1289

Implications of Low Zinc and Copper Levels As Well As Altered Iron Trafficking Proteins on Oxidant Stress in Patients with Transfusion Dependant Thalassemia

2016· article· en· W2596304870 sur OpenAlexaff
Patrick B. Walter, Michael Minkley, C. R. Curtis, Maeve Hodge, Razavi Morty, Sarah Ewing, Ashutosh Lal, Anne Higa, David W. Killilea, Terry W. Pearson, Ellen B. Fung

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensUniversity of Victoria
Organismes subventionnairesnon disponible
Mots-clésOxidative stressHemopexinIneffective erythropoiesisTransferrinMalondialdehydeChemistrySoluble transferrin receptorTransferrin receptorInternal medicinePro-oxidantHereditary hemochromatosisThalassemiaLipid peroxidationInflammationBeta thalassemiaEndocrinologyBiochemistryAnemiaErythropoiesisIron deficiencyMedicineHemochromatosisHeme

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction:Patients with transfusion dependent thalassemia (TDT) have a genetic anemia that causes incomplete erythropoiesis and iron overload. Plasma zinc deficiency is also seen in roughly 25% of patients with TDT. Iron overload is thought to be related to a number of secondary complications in TDT including cardiomyopathy and diabetes. However, in TDT the effects of altered Zn status are not as well characterized and the effects of low copper (Cu) are even less well known. One possible cause of these complications is oxidative damage to tissues. This oxidative stress can be caused by labile plasma iron (LPI), a component of the non-transferrin bound iron pool, which is often seen in individuals suffering from iron overload. LPI is both redox-active and chelatable and is the likely culprit distributing iron to extra-hepatic tissues. Through reactive Fenton chemistry, LPI, can also cause lipid peroxidation releasing malondialdehyde (MDA) and 4-hydroxynonenal (4-HNE), which are damage-associated molecular patterns and markers of oxidative tissue damage that activate the immune system to induce inflammation. Incomplete erythropoiesis as well as transfusional iron overload are responsible for an increase in the amount of poorly handled, redox active LPI in TDT. Thus, we hypothesized that changes in the levels of key iron trafficking proteins (such as soluble transferrin receptor (sTfR) or hemopexin) would affect oxidative stress levels in TDT. We also hypothesized that metal dyshomeostasis, such as a functional Zn or Cu deficiency would affect oxidative stress. Aims: The purpose of this pilot project is to 1) Determine the state of circulating levels of oxidative stress markers and iron trafficking proteins in TDT patients and 2) Explore the relationship between the markers and proteins measured in (1)and the Zn and Cu status of TDT patients. Methods:39 subjects with informed consent were enrolled (29 patients with TDT and 10 controls). Liver iron concentration (LIC) was measured by a superconducting quantum interference device (SQUID™). LPI was measured using dihydrorhodamine 123. Both MDA and MDA + 4-HNE were measured using N-methyl-2-phenylindole. The iron trafficking proteins sTfR, transferrin, haptoglobin and hemopexin were measured by immunoassay isolation followed by multiplex multiple reaction monitoring mass spectrometry. Zn and Cu were assessed by inductively coupled plasma atomic emission spectroscopy. Fructosamine was measured by quantitative spectrophotometry. Results: Patients with TDT had elevated LIC levels of 2681 ± 2424 ug iron/g wet weight. Plasma levels of the iron trafficking proteins, transferrin, hemopexin and haptoglobin were all decreased in TDT patients (P<0.001) with a corresponding increase in soluble transferrin receptor (StfR) and the LPI (P<0.001). Serum Zn was significantly reduced in TDT patients (p = 0.028) and urinary Zn was significantly elevated (p =0.024). Serum Cu was also significantly reduced in TDT patients (p =0.026). Reduced Zn levels in TDT patients correlated with elevated MDA levels (p = 0.0195, R = -0.382) as were serum Cu levels (p = 0.0158, R = -0.394). Reduced levels of plasma iron trafficking proteins (haptoglobin, hemopexin, and transferrin) were correlated with elevated levels of MDA and LPI (all p-values < 0.05). Plasma MDA was also correlated with fructosamine levels (p < 0.001, R= 0.57). Conclusion: Metal dyshomeostasis involving Zn and Cu may be important contributors to oxidative stress and iron injury in TDT. We confirm previous findings in TDT of elevated levels of LPI as well as the oxidative stress markers MDA and 4-HNE. We expand previous findings of reduced transferrin levels in TDT to show a similar reduction in both haptoglobin and hemopexin. StfR levels were elevated in TDT patients, possibly due to a strong erythropoietic drive. Both reduced haptoglobin and hemopexin as well as decreased Zn and Cu levels and increased Zn excretion appear to be present in TDT. These preliminary findings suggest that low levels of Zn, Cu, haptoglobin and hemopexin may be related to increased oxidative stress and LPI in TDT, which could be important contributors to secondary complications of TDT. Disclosures Walter: Apopharma: Research Funding.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,006
Tête enseignante GPT0,220
Écart entre enseignants0,214 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations3
Publié2016
Routes d'admission1
Résumé présentoui

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