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Serum metabolomic analysis of feline mammary carcinomas based on LC-MS and MRM techniques Cover

Serum metabolomic analysis of feline mammary carcinomas based on LC-MS and MRM techniques

Journal of Veterinary Research
Volume 64 (2020): Issue 4 (December 2020)
By: Jia-san Zheng,  Ren-yue Wei,  Zheng Wang,  Jun Song,  Yan-song Ge and  Rui Wu  
Open Access
|Nov 2020

Figures & Tables

Fig. 1

PCA score diagram in NEG mode and POS modeIn the figure, the ellipse represents the 95% confidence interval, and the abscissa PC [1] and ordinate PC [2] represent the score of the principal component ranking first and second, respectively. The scatter shapes and colours represent the different experimental groups
PCA score diagram in NEG mode and POS modeIn the figure, the ellipse represents the 95% confidence interval, and the abscissa PC [1] and ordinate PC [2] represent the score of the principal component ranking first and second, respectively. The scatter shapes and colours represent the different experimental groups

Fig. 2

OPLS-DA score in the NEG mode and POS modeIn the figure, the ellipse represents the 95% confidence interval, and the abscissa t[1]P represents the predicted principal component score of the first principal component. The ordinate t[1]O represents the orthogonal principal component score, and the scatter shapes and colours represent the different experimental groups
OPLS-DA score in the NEG mode and POS modeIn the figure, the ellipse represents the 95% confidence interval, and the abscissa t[1]P represents the predicted principal component score of the first principal component. The ordinate t[1]O represents the orthogonal principal component score, and the scatter shapes and colours represent the different experimental groups

Fig. 3

Volcano map of NEG (A) and POS (B) modes differential metabolite screeningThe abscissa represents the fold-change of the group comparing each substance (taking the logarithm base 2). The ordinate represents the P-value of the Student’s t-test (taking the negative logarithm base 10)
Volcano map of NEG (A) and POS (B) modes differential metabolite screeningThe abscissa represents the fold-change of the group comparing each substance (taking the logarithm base 2). The ordinate represents the P-value of the Student’s t-test (taking the negative logarithm base 10)

Fig. 4

HCA analysis results in NEG (A) and POS (B) modes
HCA analysis results in NEG (A) and POS (B) modes

Fig. 5

Bubble diagram of the metabolic pathway analysis in NEG and POS mode
Bubble diagram of the metabolic pathway analysis in NEG and POS mode

Fig. 6

Interaction network diagram of six biomarker differential metabolites. Red indicates that the metabolites are up regulated in group T, blue indicates that the metabolite is down regulated in group T, yellow indicates metabolic pathways, and metabolites without a coloured background are the upstream and downstream substances that are differentially metabolised
Interaction network diagram of six biomarker differential metabolites. Red indicates that the metabolites are up regulated in group T, blue indicates that the metabolite is down regulated in group T, yellow indicates metabolic pathways, and metabolites without a coloured background are the upstream and downstream substances that are differentially metabolised

Differential metabolites in feline mammary carcinomas based on LC-MS

No.Substance nameVIPPVariation trendDetection mode
1L-glutamate1.9065994939.39957E−06↑NEG
2L-alanine1.8703390699.66197E−05↑NEG
3Glycerol 3-phosphate1.8136044150.001128205↑NEG
4Succinate1.7903891640.000554729↑NEG
520-hydroxy-PGE21.7867726012.17846E−05↑NEG
6Fosfomycin1.7792193950.002655475↑NEG
73-methyluridine1.7643113150.000277439↑NEG
8N-acetyl-L-alanine1.7201969470.000240845↑NEG
9Choline1.8772859802.37754E−07↑POS
10Trigonelline1.8229388350.001548866↑POS
11Ile-asn1.8068800951.10469E−05↑POS
12Arachidonic acid (peroxide free)1.7726114720.001126785↑POS
13S-methyl-5′-thioadenosine1.7701464020.000360333↑POS
14Creatinine1.7518252115.23436E−05↑POS
15L-histidinol1.740026690.000841015↑POS
16Guanidine acetic acid1.6982571670.000546455↑POS
17Cytosine1.6629763590.000112223↑POS
18Inosine1.4814811110.002446273↓NEG
19Adenine1.7925178280.001575227↑NEG
20Hypoxanthine1.7308046160.00067303↑POS

Experimental and control group animal basic information

No.VarietyAge (years)GenderSpaying statusTumour typeDisease stage
T-1Chinese pastoral cat10FemaleUnspayedMammary gland carcinomaWithout metastasis
T-2Chinese pastoral cat10FemaleUnspayedMammary gland carcinomaWithout metastasis
T-3Chinese pastoral cat9FemaleUnspayedMammary gland carcinomaWithout metastasis
T-4Chinese pastoral cat9FemaleUnspayedMammary gland carcinomaWithout metastasis
T-5Chinese pastoral cat8FemaleUnspayedMammary gland carcinomaWithout metastasis
T-6Chinese pastoral cat7FemaleUnspayedMammary gland carcinomaWithout metastasis
C-1Chinese pastoral cat10FemaleUnspayedHealthy control/
C-2Chinese pastoral cat9FemaleUnspayedHealthy control/
C-3Chinese pastoral cat9FemaleUnspayedHealthy control/
C-4Chinese pastoral cat8FemaleUnspayedHealthy control/
C-5Chinese pastoral cat8FemaleUnspayedHealthy control/
C-6Chinese pastoral cat8FemaleUnspayedHealthy control/

MRM target metabolomic validation

Substance nameLC-MS non-target metabolomics resultsMRM target metabolomics results
Fold changeVIPPVariation trend (T C)T group final concentration (average)C group final concentration (average)
S-methyl-5′-thioadesine2.8791528071.7701464020.000360333↑0.0110.003
Creatinine1.6325134511.7518252115.23436E−05↑42.11710.13
Cytosine1.9812650291.6629763590.000112223↑1.3830.49
Choline1.8367343691.8772859802.37754E−07↑4.3810.71
Betaine nicotinate
(Trigonelline)3.1786750951.8229388350.001548866↑1.9150.32
L-alanine1.8918485911.8703390699.66197E−05↑190.22994.83
L-glutamic acid5.1295937301.5338805160.019410600↑30.9593.65
DOI: https://doi.org/10.2478/jvetres-2020-0070 | Journal eISSN: 2450-8608
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Language: English
Page range: 581 - 588
Submitted on: Apr 16, 2020
Accepted on: Oct 7, 2020
Published on: Nov 6, 2020
Published by: National Veterinary Research Institute in Pulawy
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
cats,
feline mammary carcinomas,
LC-MS,
metabolomics,
multiple reaction monitoring (MRM)
Related subjects:
Life sciences,
Molecular biology,
Microbiology and virology,
Life sciences, other,
Medicine,
Veterinary medicine

© 2020 Jia-san Zheng, Ren-yue Wei, Zheng Wang, Jun Song, Yan-song Ge, Rui Wu, published by National Veterinary Research Institute in Pulawy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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