001     140821
005     20240229105116.0
024 7 _ |a 10.1016/j.molmet.2018.09.005
|2 doi
024 7 _ |a pmid:30287091
|2 pmid
024 7 _ |a altmetric:48819949
|2 altmetric
037 _ _ |a DKFZ-2018-01585
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Schumacher, Dagmar
|b 0
245 _ _ |a Compensatory mechanisms for methylglyoxal detoxification in experimental & clinical diabetes.
260 _ _ |a Oxford [u.a.]
|c 2018
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1544432239_1367
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The deficit of Glyoxalase I (Glo1) and the subsequent increase in methylglyoxal (MG) has been reported to be one the five mechanisms by which hyperglycemia causes diabetic late complications. Aldo-keto reductases (AKR) have been shown to metabolize MG; however, the relative contribution of this superfamily to the detoxification of MG in vivo, particularly within the diabetic state, remains unknown.CRISPR/Cas9-mediated genome editing was used to generate a Glo1 knock-out (Glo1-/-) mouse line. Streptozotocin was then applied to investigate metabolic changes under hyperglycemic conditions.Glo1-/- mice were viable and showed no elevated MG or MG-H1 levels under hyperglycemic conditions. It was subsequently found that the enzymatic efficiency of various oxidoreductases in the liver and kidney towards MG were increased in the Glo1-/- mice. The functional relevance of this was supported by the altered distribution of alternative detoxification products. Furthermore, it was shown that MG-dependent AKR activity is a potentially clinical relevant pathway in human patients suffering from diabetes.These data suggest that in the absence of GLO1, AKR can effectively compensate to prevent the accumulation of MG. The combination of metabolic, enzymatic, and genetic factors, therefore, may provide a better means of identifying patients who are at risk for the development of late complications caused by elevated levels of MG.
536 _ _ |a 311 - Signalling pathways, cell and tumor biology (POF3-311)
|0 G:(DE-HGF)POF3-311
|c POF3-311
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Morgenstern, Jakob
|b 1
700 1 _ |a Oguchi, Yoko
|b 2
700 1 _ |a Volk, Nadine
|b 3
700 1 _ |a Kopf, Stefan
|b 4
700 1 _ |a Groener, Jan Benedikt
|b 5
700 1 _ |a Nawroth, Peter Paul
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Fleming, Thomas
|b 7
700 1 _ |a Freichel, Marc
|b 8
773 _ _ |a 10.1016/j.molmet.2018.09.005
|g p. S2212877818302047
|0 PERI:(DE-600)2708735-9
|p 143-152
|t Molecular metabolism
|v 18
|y 2018
|x 2212-8778
909 C O |o oai:inrepo02.dkfz.de:140821
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-HGF)0
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-311
|2 G:(DE-HGF)POF3-300
|v Signalling pathways, cell and tumor biology
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2018
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b MOL METAB : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND (No Version)
|0 LIC:(DE-HGF)CCBYNCNDNV
|2 V:(DE-HGF)
|b DOAJ
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b MOL METAB : 2017
920 1 _ |0 I:(DE-He78)A170-20160331
|k A170
|l Molekulare Stoffwechselkontrolle
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)A170-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21