Literature DB >> 22894710

Serum metabolic signatures of fulminant type 1 diabetes.

Jingyi Lu1, Jian Zhou, Yuqian Bao, Tianlu Chen, Yinan Zhang, Aihua Zhao, Yunping Qiu, Guoxiang Xie, Congrong Wang, Wei Jia, Weiping Jia.   

Abstract

Fulminant type 1 diabetes (FT1DM) is a relatively new clinical entity featured by acute destruction of pancreatic beta cells. Clinical consequences of FT1DM could be fatal when timely medications are not provided, suggesting the particular importance of rapid and accurate diagnosis. Here we report a serum metabonomics study of FT1DM patients, together with healthy control subjects (NC), type 2 diabetes (T2DM), classic type 1 diabetes (T1DM), and diabetic ketoacidosis (DKA) patients, with the aim of discovering metabolic markers associated with FT1DM. A total of 79 subjects were enrolled (22 NC, 22 T1DM, 22 T2DM, 8 DKA and 5 FT1DM) and the serum metabolic profiling of fasting blood samples was performed using gas chromatography time-of-flight mass spectrometry (GC-TOFMS) coupled with multivariate and univariate statistical analyses. Serum metabolites differentially expressed in FT1DM relative to NC, or to T2DM, T1DM and DKA were identified. Three metabolite markers, 5-oxoproline, glutamate, and homocysteine, were significantly altered among FT1DM, T2DM, T1DM, and DKA. In addition, the three metabolite markers, 5-oxoproline, glutamate, and homocysteine, presented similar patterns of distribution across groups. The results showed that the metabolic signatures of FT1DM identified in this study could be of potential clinical significance for the accurate diagnosis of FT1DM.

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Year:  2012        PMID: 22894710     DOI: 10.1021/pr300523x

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  14 in total

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2.  Diabetes Associated Metabolomic Perturbations in NOD Mice.

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Authors:  Lee Cheng Phua; Xiu Ping Chue; Poh Koon Koh; Peh Yean Cheah; Han Kiat Ho; Eric Chun Yong Chan
Journal:  Cancer Biol Ther       Date:  2014-01-14       Impact factor: 4.742

5.  A Metabolome-Wide Association Study of Kidney Function and Disease in the General Population.

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Journal:  J Am Soc Nephrol       Date:  2015-10-08       Impact factor: 10.121

6.  Metabolomics Profiling of Patients With A-β+ Ketosis-Prone Diabetes During Diabetic Ketoacidosis.

Authors:  Farook Jahoor; Jean W Hsu; Paras B Mehta; Kelly R Keene; Ruchi Gaba; Surya Narayan Mulukutla; Eunice Caducoy; W Frank Peacock; Sanjeet G Patel; Rasmus Bennet; Ake Lernmark; Ashok Balasubramanyam
Journal:  Diabetes       Date:  2021-05-21       Impact factor: 9.337

7.  A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control.

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Journal:  Diabetologia       Date:  2015-06-07       Impact factor: 10.122

8.  Combination of ¹H NMR- and GC-MS-based metabonomics to study on the toxicity of Coptidis Rhizome in rats.

Authors:  Yuting Zhou; Qiongfeng Liao; Manna Lin; Xuejiao Deng; Peiting Zhang; Meicun Yao; Lei Zhang; Zhiyong Xie
Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

9.  Altered tissue metabolites correlate with microbial dysbiosis in colorectal adenomas.

Authors:  Julia L Nugent; Amber N McCoy; Cassandra J Addamo; Wei Jia; Robert S Sandler; Temitope O Keku
Journal:  J Proteome Res       Date:  2014-03-21       Impact factor: 4.466

10.  Metabolomics based markers predict type 2 diabetes in a 14-year follow-up study.

Authors:  Jun Liu; Sabina Semiz; Sven J van der Lee; Ashley van der Spek; Aswin Verhoeven; Jan B van Klinken; Eric Sijbrands; Amy C Harms; Thomas Hankemeier; Ko Willems van Dijk; Cornelia M van Duijn; Ayşe Demirkan
Journal:  Metabolomics       Date:  2017-07-28       Impact factor: 4.290

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