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Aging-related Changes in Mouse Serum Glycerophospholipid Profiles.

Kim S, Cheon HS, Song JC, Yun SM, Park SI, Jeon JP - Osong Public Health Res Perspect (2014)

Bottom Line: Among the 156 metabolites detected, serum levels of nine individual metabolites were found to vary with aging.Three classes of metabolites (amino acids, LPCs, and PCs) differed in intraclass correlation patterns of the individual metabolites between sera from young and aged mice.The ratios of the individual metabolites PC and LPC could serve as potential biomarkers for aging and aging-related diseases.

View Article: PubMed Central - PubMed

Affiliation: Division of Brain Diseases, Korea National Institute of Health, Cheongju, Korea.

ABSTRACT

Objectives: Metabolic dysfunction is a common hallmark of the aging process and aging-related pathogenesis. Blood metabolites have been used as biomarkers for many diseases, including cancers, complex chronic diseases, and neurodegenerative diseases.

Methods: In order to identify aging-related biomarkers from blood metabolites, we investigated the specific metabolite profiles of mouse sera from 4-month-old and 21-month-old mice by using a combined flow injection analysis-tandem mass spectrometry and liquid chromatography-tandem mass spectrometry.

Results: Among the 156 metabolites detected, serum levels of nine individual metabolites were found to vary with aging. Specifically, lysophosphatidylcholine (LPC) acyl (a) C24:0 levels in aged mice were decreased compared to that in young mice, whereas phosphatidylcholine (PC) acyl-alkyl (ae) C38:4, PC ae C40:4, and PC ae C42:1 levels were increased. Three classes of metabolites (amino acids, LPCs, and PCs) differed in intraclass correlation patterns of the individual metabolites between sera from young and aged mice. Additionally, the ratio of LPC a C24:0 to PC ae C38:4 was decreased in the aged mice, whereas the ratio of PC ae C40:4 to LPC a C24:0 was increased, supporting the aging-related metabolic changes of glycerophospholipids.

Conclusion: The ratios of the individual metabolites PC and LPC could serve as potential biomarkers for aging and aging-related diseases.

No MeSH data available.


Related in: MedlinePlus

Comparison of pair-wise correlation coefficients of all of detected serum metabolites. Solid boxes indicate correlation coefficients (>0.9) of pairs of two metabolites. AA = amino acids; AC = acylcarnitines; BA = biogenic amines; LPC = lysophosphatidylcholines; PC = phosphatidylcholines; SM = sphingomyelins.
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fig2: Comparison of pair-wise correlation coefficients of all of detected serum metabolites. Solid boxes indicate correlation coefficients (>0.9) of pairs of two metabolites. AA = amino acids; AC = acylcarnitines; BA = biogenic amines; LPC = lysophosphatidylcholines; PC = phosphatidylcholines; SM = sphingomyelins.

Mentions: We calculated pair-wise correlation coefficients of individual metabolites of either young or aged mice (Figure 2). Higher intraclass correlation coefficients were observed for AAs in young mouse sera, but not in aged mouse sera. On the contrary, metabolite classes of PCs and LPCs displayed higher pair-wise correlation coefficients in aged mice relative to the young mice. This suggests that the relative ratios of individual metabolites within a particular intraclass may play an important role in the aging process.


Aging-related Changes in Mouse Serum Glycerophospholipid Profiles.

Kim S, Cheon HS, Song JC, Yun SM, Park SI, Jeon JP - Osong Public Health Res Perspect (2014)

Comparison of pair-wise correlation coefficients of all of detected serum metabolites. Solid boxes indicate correlation coefficients (>0.9) of pairs of two metabolites. AA = amino acids; AC = acylcarnitines; BA = biogenic amines; LPC = lysophosphatidylcholines; PC = phosphatidylcholines; SM = sphingomyelins.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4281626&req=5

fig2: Comparison of pair-wise correlation coefficients of all of detected serum metabolites. Solid boxes indicate correlation coefficients (>0.9) of pairs of two metabolites. AA = amino acids; AC = acylcarnitines; BA = biogenic amines; LPC = lysophosphatidylcholines; PC = phosphatidylcholines; SM = sphingomyelins.
Mentions: We calculated pair-wise correlation coefficients of individual metabolites of either young or aged mice (Figure 2). Higher intraclass correlation coefficients were observed for AAs in young mouse sera, but not in aged mouse sera. On the contrary, metabolite classes of PCs and LPCs displayed higher pair-wise correlation coefficients in aged mice relative to the young mice. This suggests that the relative ratios of individual metabolites within a particular intraclass may play an important role in the aging process.

Bottom Line: Among the 156 metabolites detected, serum levels of nine individual metabolites were found to vary with aging.Three classes of metabolites (amino acids, LPCs, and PCs) differed in intraclass correlation patterns of the individual metabolites between sera from young and aged mice.The ratios of the individual metabolites PC and LPC could serve as potential biomarkers for aging and aging-related diseases.

View Article: PubMed Central - PubMed

Affiliation: Division of Brain Diseases, Korea National Institute of Health, Cheongju, Korea.

ABSTRACT

Objectives: Metabolic dysfunction is a common hallmark of the aging process and aging-related pathogenesis. Blood metabolites have been used as biomarkers for many diseases, including cancers, complex chronic diseases, and neurodegenerative diseases.

Methods: In order to identify aging-related biomarkers from blood metabolites, we investigated the specific metabolite profiles of mouse sera from 4-month-old and 21-month-old mice by using a combined flow injection analysis-tandem mass spectrometry and liquid chromatography-tandem mass spectrometry.

Results: Among the 156 metabolites detected, serum levels of nine individual metabolites were found to vary with aging. Specifically, lysophosphatidylcholine (LPC) acyl (a) C24:0 levels in aged mice were decreased compared to that in young mice, whereas phosphatidylcholine (PC) acyl-alkyl (ae) C38:4, PC ae C40:4, and PC ae C42:1 levels were increased. Three classes of metabolites (amino acids, LPCs, and PCs) differed in intraclass correlation patterns of the individual metabolites between sera from young and aged mice. Additionally, the ratio of LPC a C24:0 to PC ae C38:4 was decreased in the aged mice, whereas the ratio of PC ae C40:4 to LPC a C24:0 was increased, supporting the aging-related metabolic changes of glycerophospholipids.

Conclusion: The ratios of the individual metabolites PC and LPC could serve as potential biomarkers for aging and aging-related diseases.

No MeSH data available.


Related in: MedlinePlus