Research output: Contribution to journal › Article › peer-review
Post-mortem changes in metabolomic profiles of human serum, aqueous humor and vitreous humor. / Zelentsova, Ekaterina A.; Yanshole, Lyudmila V.; Melnikov, Arsenty D. et al.
In: Metabolomics, Vol. 16, No. 7, 80, 01.07.2020.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Post-mortem changes in metabolomic profiles of human serum, aqueous humor and vitreous humor
AU - Zelentsova, Ekaterina A.
AU - Yanshole, Lyudmila V.
AU - Melnikov, Arsenty D.
AU - Kudryavtsev, Ivan S.
AU - Novoselov, Vladimir P.
AU - Tsentalovich, Yuri P.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Introduction: Application of metabolomic methods to forensic studies may expand the limits of the post-mortem interval (PMI) estimation, and improve the accuracy of the estimation. To this end, it is important to determine which tissue is the most suitable for analysis, and which compounds are the most promising candidates for PMI estimation. Objectives: This work is aimed at the comparison of human serum, aqueous humor (AH), and vitreous humor (VH) as perspective tissues for metabolomic-based PMI estimation, at the determination of most promising PMI biomarkers, and at the development of method of PMI estimation based on the measurement of concentrations of PMI biomarkers. Methods: Quantitative metabolomic profiling of samples of the human serum, AH, and VH taken at different PMIs has been performed with the use of NMR spectroscopy. Results: It is found that the metabolomic changes in anatomically isolated ocular fluids are slower and smoother than that in blood. A good positive time correlation (Pearson coefficient r > 0.5) was observed for several metabolites, including hypoxanthine, choline, creatine, betaine, glutamate, and glycine. A model for PMI estimation based on concentrations of several metabolites in AH and VH is proposed. Conclusions: The obtained results demonstrate that the metabolomic analysis of AH and VH is more suitable for the PMI estimation than that of serum. The compounds with good positive time correlation can be considered as potential PMI biomarkers.
AB - Introduction: Application of metabolomic methods to forensic studies may expand the limits of the post-mortem interval (PMI) estimation, and improve the accuracy of the estimation. To this end, it is important to determine which tissue is the most suitable for analysis, and which compounds are the most promising candidates for PMI estimation. Objectives: This work is aimed at the comparison of human serum, aqueous humor (AH), and vitreous humor (VH) as perspective tissues for metabolomic-based PMI estimation, at the determination of most promising PMI biomarkers, and at the development of method of PMI estimation based on the measurement of concentrations of PMI biomarkers. Methods: Quantitative metabolomic profiling of samples of the human serum, AH, and VH taken at different PMIs has been performed with the use of NMR spectroscopy. Results: It is found that the metabolomic changes in anatomically isolated ocular fluids are slower and smoother than that in blood. A good positive time correlation (Pearson coefficient r > 0.5) was observed for several metabolites, including hypoxanthine, choline, creatine, betaine, glutamate, and glycine. A model for PMI estimation based on concentrations of several metabolites in AH and VH is proposed. Conclusions: The obtained results demonstrate that the metabolomic analysis of AH and VH is more suitable for the PMI estimation than that of serum. The compounds with good positive time correlation can be considered as potential PMI biomarkers.
KW - Aqueous humor
KW - NMR spectroscopy
KW - PMI estimation
KW - Quantitative metabolomics
KW - Serum
KW - Vitreous humor
KW - INTERVAL
KW - CASE WORK
KW - MARKERS
KW - DNA-DEGRADATION
KW - CEREBROSPINAL-FLUID
KW - PLASMA
KW - INTEGRATION
KW - HYPOXANTHINE
KW - DEATH TIME-ESTIMATION
KW - BLOOD
UR - http://www.scopus.com/inward/record.url?scp=85087319334&partnerID=8YFLogxK
U2 - 10.1007/s11306-020-01700-3
DO - 10.1007/s11306-020-01700-3
M3 - Article
C2 - 32613532
AN - SCOPUS:85087319334
VL - 16
JO - Metabolomics
JF - Metabolomics
SN - 1573-3882
IS - 7
M1 - 80
ER -
ID: 24633239