Evidence map›Paper›PMID 28123936›Full record

ArticleMolecular metabolism2017

Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism.

Lars Stechemesser, Sebastian K Eder, Andrej Wagner, Wolfgang Patsch, Alexandra Feldman, Michael Strasser, Simon Auer, David Niederseer, Ursula Huber-Schönauer, Bernhard Paulweber and 9 more

Open access · goldAbstract read
In one paragraph

Article in Molecular metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  18. Iron Overload Protects from Obesity by Ferroptosis.Foods (Basel, Switzerland) · 2021
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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

19 authors at 2 institutions in 2 countries.

Lars StechemesserFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Sebastian K EderFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Andrej WagnerFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Wolfgang PatschDepartment of Pharmacology and Toxicology, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria.
Alexandra FeldmanFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Michael StrasserFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Simon AuerDepartment of Laboratory Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
David NiederseerDepartment of Internal Medicine, Hospital Oberndorf, Paracelsusstrasse 37, 5110 Oberndorf, Austria; Department of Cardiology, University Heart Center Zurich, University of Zurich, Raemistrasse 100, 8091 Zurich, Switzerland.
Ursula Huber-SchönauerDepartment of Internal Medicine, Hospital Oberndorf, Paracelsusstrasse 37, 5110 Oberndorf, Austria.
Bernhard PaulweberFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Stephan ZandanellFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Sandra RuhaltingerFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Daniel WeghuberObesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Elisabeth Haschke-BecherDepartment of Laboratory Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Christoph GrabmerDepartment of Blood Group Serology and Transfusion Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Eva RohdeDepartment of Blood Group Serology and Transfusion Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Christian DatzObesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Department of Internal Medicine, Hospital Oberndorf, Paracelsusstrasse 37, 5110 Oberndorf, Austria.
Thomas K FelderObesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Department of Laboratory Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Elmar AignerFirst Department of Medicine, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria; Obesity Research Unit, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria. Electronic address: e.aigner@salk.at.
Paracelsus Medical University · ATKrankenhaus Oberndorf · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveElevated 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.

methodsIn 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.

resultsSubjects 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).

conclusionsOur 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.

Indexed as

AdultBlood GlucoseCitrullineCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleFerritinsGlucoseGlucose Tolerance TestHomeostasisHumansInsulin ResistanceIronMaleMetabolic SyndromeMetabolomicsBlood GlucoseCitrullineFerritinsGlucoseIronSarcosineAkt/PKB, Akt/protein kinase BALT, alanine aminotransferaseAST, aspartate aminotransferaseBMI, body mass indexCDP, CytidinediphosphatCRP, C-reactive proteinDIOS, dysmetabolic iron overload syndrome+Fe, with iron overload−Fe, without iron overloadFoxO1, forkhead transcription factor O1GGT, gamma-glutamyl transpeptidaseGlucoseGLUT1, glucose transporter 1GNMT, glycine N-methyltransferaseGSK3β, glycogen synthase kinase 3βHDL, high density lipoproteinsHIF1α, hypoxia-inducible factor 1αHOMA-IR, homeostatic model assessment-insulin resistanceHyperferritinemiaIL, interleukinIR, insulin resistanceIron overloadLDL, low density lipoproteinsMetabolic syndromeMetabolomicsMetS, metabolic syndromeMRI, magnet resonance imagingNAFLD, non-alcoholic fatty liver diseaseoGTT, oral glucose tolerance testPC_E, plasmalogensPCOS, polycystic ovary syndromePC, phosphatidylcholinePEMT, phosphatidylethanolamine N-methyltransferaseRBC, red blood countT2D, type 2 diabetes mellitusTNF, tumor necrosis factorVLDL, very low-densitylipoproteinsWHO, World Health OrganizationWHR, waist hip ratio

Identifiers

PMID28123936
PMCPMC5220278
OpenAlexW2548355587

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.