Metabolomics of Type 2 diabetes mellitus in Sprague Dawley rats—in search of potential metabolic biomarkers

dc.contributor.authorNdlovu, Innocent Siyanda
dc.contributor.authorTshilwane, Selaelo Ivy
dc.contributor.authorVosloo, André Gerhard
dc.contributor.authorChaisi, Mamohale E.
dc.contributor.authorMukaratirwa, Samson
dc.contributor.emailselaelo.tshilwane@up.ac.zaen_US
dc.date.accessioned2024-08-06T07:09:02Z
dc.date.available2024-08-06T07:09:02Z
dc.date.issued2023-08-05
dc.descriptionDATA AVAILABILITY STATEMENT : The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.en_US
dc.description.abstractType 2 diabetes mellitus (T2DM) is an expanding global health concern, closely associated with the epidemic of obesity. Individuals with diabetes are at high risk for microvascular and macrovascular complications, which include retinopathy, neuropathy, and cardiovascular comorbidities. Despite the availability of diagnostic tools for T2DM, approximately 30–60% of people with T2DM in developed countries are never diagnosed or detected. Therefore, there is a strong need for a simpler and more reliable technique for the early detection of T2DM. This study aimed to use a non-targeted metabolomic approach to systematically identify novel biomarkers from the serum samples of T2DM-induced Sprague Dawley (SD) rats using a comprehensive two-dimensional gas chromatography coupled with a time-of-flight mass spectrometry (GCxGC-TOF/MS). Fifty-four male Sprague Dawley rats weighing between 160–180 g were randomly assigned into two experimental groups, namely the type 2 diabetes mellitus group (T2DM) (n = 36) and the non-diabetic control group (n = 18). Results from this study showed that the metabolite signature of the diabetic rats was different from that of the non-diabetic control group. The most significantly upregulated metabolic pathway was aminoacyl-t-RNA biosynthesis. Metabolite changes observed between the diabetic and non-diabetic control group was attributed to the increase in amino acids, such as glycine, L-asparagine, and L-serine. Aromatic amino acids, including L-tyrosine, were associated with the risk of future hyperglycemia and overt diabetes. The identified potential biomarkers depicted a good predictive value of more than 0.8. It was concluded from the results that amino acids that were associated with impaired insulin secretion were prospectively related to an increase in glucose levels. Moreover, amino acids that were associated with impaired insulin secretion were prospectively related to an increase in glucose levels.en_US
dc.description.departmentVeterinary Tropical Diseasesen_US
dc.description.librarianam2024en_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.sponsorshipThe Nation Research Foundation (NRF); South Africa National Biodiversity Institute (SANBI) and Ross University School of Veterinary Medicine.en_US
dc.description.urihttps://www.mdpi.com/journal/ijmsen_US
dc.identifier.citationNdlovu, I.S.; Tshilwane, S.I.; Vosloo, A.; Chaisi, M.; Mukaratirwa, S. Metabolomics of Type 2 Diabetes Mellitus in Sprague Dawley Rats—In Search of Potential Metabolic Biomarkers. International Journal of Molecular Sciences 2023, 24, 12467. https://DOI.org/10.3390/ijms241512467.en_US
dc.identifier.issn1661-6596 (print)
dc.identifier.issn1422-0067 (online)
dc.identifier.other10.3390/ijms241512467
dc.identifier.urihttp://hdl.handle.net/2263/97442
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.subjectMetabolomicsen_US
dc.subjectBiomarkersen_US
dc.subjectMetabolic pathwaysen_US
dc.subjectSprague-Dawley rat (Rattus norvegicus)en_US
dc.subjectType 2 diabetes mellitus (T2DM)en_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.titleMetabolomics of Type 2 diabetes mellitus in Sprague Dawley rats—in search of potential metabolic biomarkersen_US
dc.typeArticleen_US

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