Preliminary demonstration of benchtop NMR metabolic profiling of feline urine: chronic kidney disease as a case study.
Cat
Chronic kidney disease
Metabolite
Metabolomics
NMR
Journal
BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768
Informations de publication
Date de publication:
24 Dec 2021
24 Dec 2021
Historique:
received:
20
10
2021
accepted:
14
12
2021
entrez:
25
12
2021
pubmed:
26
12
2021
medline:
29
12
2021
Statut:
epublish
Résumé
The use of benchtop metabolic profiling technology based on nuclear magnetic resonance (NMR) was evaluated in a small cohort of cats with a view to applying this as a viable and rapid metabolic tool to support clinical decision making. Urinary metabolites were analysed from four subjects consisting of two healthy controls and two chronic kidney disease (CKD) IRIS stage 2 cases. The study identified 15 metabolites in cats with CKD that were different from the controls. Among them were acetate, creatinine, citrate, taurine, glycine, serine and threonine. Benchtop NMR technology is capable of distinguishing between chronic kidney disease case and control samples in a pilot feline cohort based on metabolic profile. We offer perspectives on the further development of this pilot work and the potential of the technology, when combined with sample databases and computational intelligence techniques to offer a clinical decision support tool not only for cases of renal disease but other metabolic conditions in the future.
Identifiants
pubmed: 34952633
doi: 10.1186/s13104-021-05888-y
pii: 10.1186/s13104-021-05888-y
pmc: PMC8708514
doi:
Substances chimiques
Creatinine
AYI8EX34EU
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
469Informations de copyright
© 2021. The Author(s).
Références
Redox Biol. 2019 Feb;21:101059
pubmed: 30576920
Vet J. 2019 Dec;254:105358
pubmed: 31836166
Vet Q. 2020 Dec;40(1):1-15
pubmed: 31858882
Vet Rec. 2020 Apr 4;186(13):422
pubmed: 32245874
Clin Kidney J. 2018 Oct;11(5):694-703
pubmed: 30288265
Metabolites. 2020 Apr 16;10(4):
pubmed: 32316363
EBioMedicine. 2017 Dec;26:68-77
pubmed: 29128444
Vet Sci. 2020 Nov 27;7(4):
pubmed: 33260976
Vet Med (Auckl). 2018 Jun 19;9:33-42
pubmed: 30050865
J Clin Endocrinol Metab. 2018 Dec 1;103(12):4357-4364
pubmed: 30060124
Sci Rep. 2019 Mar 25;9(1):5104
pubmed: 30911057
Vet J. 2015 Apr;204(1):73-81
pubmed: 25726445
Front Vet Sci. 2021 Jan 26;8:595983
pubmed: 33575283
Biochim Biophys Acta. 2012 Nov;1822(11):1807-14
pubmed: 22967815
PLoS One. 2020 Jul 2;15(7):e0235480
pubmed: 32614877
Chem Rev. 2018 Feb 28;118(4):1460-1494
pubmed: 29272116
Drug Metab Dispos. 1995 Feb;23(2):255-60
pubmed: 7736921
Amino Acids. 1996 Mar;11(1):1-13
pubmed: 24178634
Metabolites. 2020 Jan 26;10(2):
pubmed: 31991891
PLoS One. 2021 Jan 29;16(1):e0246290
pubmed: 33513207
Biopolymers. 2003;72(2):86-95
pubmed: 12583011
Nat Commun. 2019 Apr 1;10(1):1476
pubmed: 30931940
J Anim Sci Biotechnol. 2016 Aug 31;7(1):49
pubmed: 27583137
Sci Rep. 2019 Jul 16;9(1):10252
pubmed: 31311955
Clin Exp Nephrol. 2020 May;24(5):404-410
pubmed: 32112266
High Throughput. 2018 Dec 27;8(1):
pubmed: 30591692
Clin Chim Acta. 2019 Dec;499:54-63
pubmed: 31476302
J Feline Med Surg. 2020 Jun;22(6):544-556
pubmed: 31322040