Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism
Objective: Elevated serum ferritin has been linked to type 2 diabetes (T2D) and adverse health outcomes in subjects with the Metabolic Syndrome (MetS). As the mechanisms underlying the negative impact of excess iron have so far remained elusive, we aimed to identify potential links between iron home...
Main Authors: | , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017-01-01
|
Series: | Molecular Metabolism |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2212877816302095 |
id |
doaj-2009566879ea412b951fc2fb7369e1e8 |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lars Stechemesser Sebastian K. Eder Andrej Wagner Wolfgang Patsch Alexandra Feldman Michael Strasser Simon Auer David Niederseer Ursula Huber-Schönauer Bernhard Paulweber Stephan Zandanell Sandra Ruhaltinger Daniel Weghuber Elisabeth Haschke-Becher Christoph Grabmer Eva Rohde Christian Datz Thomas K. Felder Elmar Aigner |
spellingShingle |
Lars Stechemesser Sebastian K. Eder Andrej Wagner Wolfgang Patsch Alexandra Feldman Michael Strasser Simon Auer David Niederseer Ursula Huber-Schönauer Bernhard Paulweber Stephan Zandanell Sandra Ruhaltinger Daniel Weghuber Elisabeth Haschke-Becher Christoph Grabmer Eva Rohde Christian Datz Thomas K. Felder Elmar Aigner Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism Molecular Metabolism |
author_facet |
Lars Stechemesser Sebastian K. Eder Andrej Wagner Wolfgang Patsch Alexandra Feldman Michael Strasser Simon Auer David Niederseer Ursula Huber-Schönauer Bernhard Paulweber Stephan Zandanell Sandra Ruhaltinger Daniel Weghuber Elisabeth Haschke-Becher Christoph Grabmer Eva Rohde Christian Datz Thomas K. Felder Elmar Aigner |
author_sort |
Lars Stechemesser |
title |
Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism |
title_short |
Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism |
title_full |
Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism |
title_fullStr |
Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism |
title_full_unstemmed |
Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism |
title_sort |
metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism |
publisher |
Elsevier |
series |
Molecular Metabolism |
issn |
2212-8778 |
publishDate |
2017-01-01 |
description |
Objective: Elevated serum ferritin has been linked to type 2 diabetes (T2D) and adverse health outcomes in subjects with the Metabolic Syndrome (MetS). As the mechanisms underlying the negative impact of excess iron have so far remained elusive, we aimed to identify potential links between iron homeostasis and metabolic pathways. Methods: In a cross-sectional study, data were obtained from 163 patients, allocated to one of three groups: (1) lean, healthy controls (n = 53), (2) MetS without hyperferritinemia (n = 54) and (3) MetS with hyperferritinemia (n = 56). An additional phlebotomy study included 29 patients with biopsy-proven iron overload before and after iron removal. A detailed clinical and biochemical characterization was obtained and metabolomic profiling was performed via a targeted metabolomics approach. Results: Subjects with MetS and elevated ferritin had higher fasting glucose (p < 0.001), HbA1c (p = 0.035) and 1 h glucose in oral glucose tolerance test (p = 0.002) compared to MetS subjects without iron overload, whereas other clinical and biochemical features of the MetS were not different. The metabolomic study revealed significant differences between MetS with high and low ferritin in the serum concentrations of sarcosine, citrulline and particularly long-chain phosphatidylcholines. Methionine, glutamate, and long-chain phosphatidylcholines were significantly different before and after phlebotomy (p < 0.05 for all metabolites). Conclusions: Our data suggest that high serum ferritin concentrations are linked to impaired glucose homeostasis in subjects with the MetS. Iron excess is associated to distinct changes in the serum concentrations of phosphatidylcholine subsets. A pathway involving sarcosine and citrulline also may be involved in iron-induced impairment of glucose metabolism. Author Video: Author Video Watch what authors say about their articles Keywords: Metabolomics, Hyperferritinemia, Iron overload, Metabolic syndrome, Glucose |
url |
http://www.sciencedirect.com/science/article/pii/S2212877816302095 |
work_keys_str_mv |
AT larsstechemesser metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT sebastiankeder metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT andrejwagner metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT wolfgangpatsch metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT alexandrafeldman metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT michaelstrasser metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT simonauer metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT davidniederseer metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT ursulahuberschonauer metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT bernhardpaulweber metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT stephanzandanell metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT sandraruhaltinger metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT danielweghuber metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT elisabethhaschkebecher metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT christophgrabmer metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT evarohde metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT christiandatz metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT thomaskfelder metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism AT elmaraigner metabolomicprofilingidentifiespotentialpathwaysinvolvedintheinteractionofironhomeostasiswithglucosemetabolism |
_version_ |
1725705503458197504 |
spelling |
doaj-2009566879ea412b951fc2fb7369e1e82020-11-24T22:40:12ZengElsevierMolecular Metabolism2212-87782017-01-01613847Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolismLars Stechemesser0Sebastian K. Eder1Andrej Wagner2Wolfgang Patsch3Alexandra Feldman4Michael Strasser5Simon Auer6David Niederseer7Ursula Huber-Schönauer8Bernhard Paulweber9Stephan Zandanell10Sandra Ruhaltinger11Daniel Weghuber12Elisabeth Haschke-Becher13Christoph Grabmer14Eva Rohde15Christian Datz16Thomas K. Felder17Elmar Aigner18First Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaDepartment of Pharmacology and Toxicology, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, AustriaFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaDepartment of Laboratory Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaDepartment of Internal Medicine, Hospital Oberndorf, Paracelsusstrasse 37, 5110 Oberndorf, Austria; Department of Cardiology, University Heart Center Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, SwitzerlandDepartment of Internal Medicine, Hospital Oberndorf, Paracelsusstrasse 37, 5110 Oberndorf, AustriaFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaObesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaDepartment of Laboratory Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaDepartment of Blood Group Serology and Transfusion Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaDepartment of Blood Group Serology and Transfusion Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaObesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Department of Internal Medicine, Hospital Oberndorf, Paracelsusstrasse 37, 5110 Oberndorf, AustriaObesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Department of Laboratory Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, AustriaFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Corresponding author. First Department of Medicine, Paracelsus Medical University Salzburg, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.Objective: Elevated serum ferritin has been linked to type 2 diabetes (T2D) and adverse health outcomes in subjects with the Metabolic Syndrome (MetS). As the mechanisms underlying the negative impact of excess iron have so far remained elusive, we aimed to identify potential links between iron homeostasis and metabolic pathways. Methods: In a cross-sectional study, data were obtained from 163 patients, allocated to one of three groups: (1) lean, healthy controls (n = 53), (2) MetS without hyperferritinemia (n = 54) and (3) MetS with hyperferritinemia (n = 56). An additional phlebotomy study included 29 patients with biopsy-proven iron overload before and after iron removal. A detailed clinical and biochemical characterization was obtained and metabolomic profiling was performed via a targeted metabolomics approach. Results: Subjects with MetS and elevated ferritin had higher fasting glucose (p < 0.001), HbA1c (p = 0.035) and 1 h glucose in oral glucose tolerance test (p = 0.002) compared to MetS subjects without iron overload, whereas other clinical and biochemical features of the MetS were not different. The metabolomic study revealed significant differences between MetS with high and low ferritin in the serum concentrations of sarcosine, citrulline and particularly long-chain phosphatidylcholines. Methionine, glutamate, and long-chain phosphatidylcholines were significantly different before and after phlebotomy (p < 0.05 for all metabolites). Conclusions: Our data suggest that high serum ferritin concentrations are linked to impaired glucose homeostasis in subjects with the MetS. Iron excess is associated to distinct changes in the serum concentrations of phosphatidylcholine subsets. A pathway involving sarcosine and citrulline also may be involved in iron-induced impairment of glucose metabolism. Author Video: Author Video Watch what authors say about their articles Keywords: Metabolomics, Hyperferritinemia, Iron overload, Metabolic syndrome, Glucosehttp://www.sciencedirect.com/science/article/pii/S2212877816302095 |