2019
DOI: 10.1007/s11306-019-1548-8
|View full text |Cite
|
Sign up to set email alerts
|

NMR metabolomics identifies over 60 biomarkers associated with Type II Diabetes impairment in db/db mice

Abstract: Introduction The rapid expansion of Type 2 Diabetes (T2D), that currently affects 90% of people suffering from diabetes, urges us to develop a better understanding of the metabolic processes involved in the disease process in order to develop better therapies. The most commonly used model for T2D research is the db/db (BKS.Cg-Dock7 < m > +/+ Lepr < db >/J) mouse model. Yet, a systematic 1 H NMR based metabolomics characterisation of most tissue… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

3
32
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 46 publications
(38 citation statements)
references
References 78 publications
3
32
0
Order By: Relevance
“…The technique has inherent quantitative capabilities (Nagana Gowda et al 2018), high reproducibility, requires minimal sample preparation, is non-destructive for samples and offers the possibility for compound identification by structure elucidation, all essential characteristics for biomarker discovery (Gowda et al 2008). Although NMR spectroscopy is limited by low sensitivity compared to mass spectrometry (Gowda et al 2008) as well as signal overlap in spectra, it continues to find widespread applications (Cheng et al 2019;Mora-Ortiz et al 2019;Turkoglu et al 2019;Yousf et al 2019). When applied to plasma, a number of considerations should be made in regard to its performance in metabolome profiling with respect to optimal sample group separation that can be explained by a solid biochemical background.…”
Section: Introductionmentioning
confidence: 99%
“…The technique has inherent quantitative capabilities (Nagana Gowda et al 2018), high reproducibility, requires minimal sample preparation, is non-destructive for samples and offers the possibility for compound identification by structure elucidation, all essential characteristics for biomarker discovery (Gowda et al 2008). Although NMR spectroscopy is limited by low sensitivity compared to mass spectrometry (Gowda et al 2008) as well as signal overlap in spectra, it continues to find widespread applications (Cheng et al 2019;Mora-Ortiz et al 2019;Turkoglu et al 2019;Yousf et al 2019). When applied to plasma, a number of considerations should be made in regard to its performance in metabolome profiling with respect to optimal sample group separation that can be explained by a solid biochemical background.…”
Section: Introductionmentioning
confidence: 99%
“…This question was raised by Mora-Ortiz et al . who examined db/db mice organs 25 , a natural genetic model of obesity and also reported a decrease of 1C related metabolite in many organs (a glycine decrease in kidneys and distal colon; a homoserine decrease in liver and plasma; a serine decrease in brain, kidney and spleen). Unfortunately, they did not include lung in their study.…”
Section: Discussionmentioning
confidence: 99%
“…In a project characterizing biomarkers associated with T2D in eighteen biological matrices in db/db mouse model, allantoin was elevated in urine and plasma [26]. In other study characterizing the urine metabolome between lean and overweight dogs during a feed-challenge, overweight dogs had higher postprandial allantoin concentrations compared with lean dogs [76]. However, there is a need for more studies in humans and NMR approaches, because the evidence of the association in several animal studies should be confirmed with clinical studies.…”
Section: Uric Acid and Allantoinmentioning
confidence: 99%