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. 2023 Aug 11;24(16):12671.
doi: 10.3390/ijms241612671.

Simultaneous Comparison of Aqueous Humor and Serum Metabolic Profiles of Diabetic and Nondiabetic Patients Undergoing Cataract Surgery-A Targeted and Quantitative Metabolomics Study

Emil Tomasz Grochowski  1 , Karolina Pietrowska  2 , Adrian Godlewski  2 , Wioleta Gosk  2 , Angelika Buczynska  2 , Malgorzata Wojnar  1 , Joanna Konopinska  1 , Adam Kretowski  2   3 , Michal Ciborowski  2 , Diana Anna Dmuchowska  1
Affiliations

Simultaneous Comparison of Aqueous Humor and Serum Metabolic Profiles of Diabetic and Nondiabetic Patients Undergoing Cataract Surgery-A Targeted and Quantitative Metabolomics Study

Emil Tomasz Grochowski et al. Int J Mol Sci. .

Abstract

The aim of this study was to compare the aqueous humor (AH) and serum concentrations of metabolites in diabetic (n = 36) and nondiabetic (n = 36) senior adults undergoing cataract surgery. Blood samples were collected before surgery and AH during surgery. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS)-based targeted metabolomic and lipidomic analyses of samples were performed using the AbsoluteIDQ® p180 kit. Out of 188 metabolites targeted by the kit, 41 and 133 were detected in >80% of AH and serum samples, respectively. Statistical analysis performed to indicate metabolites differentiating diabetic and nondiabetic patients showed 8 and 20 significant metabolites in AH and serum, respectively. Pathway analysis performed for significant metabolites revealed that galactose metabolism is mostly affected in the AH, while arginine biosynthesis is mostly affected in the serum. Among metabolites that differentiate diabetic and nondiabetic patients, arginine was the only metabolite common to both serum and AH samples, as well as the only one with a decreased concentration in both body fluids of diabetic patients. Concentrations of the rest were elevated in AH and lowered in serum. This may suggest different mechanisms of diabetes-related dysregulation of the local metabolism in the eye in comparison to systemic changes observed in the blood.

Keywords: aqueous humor; cataract; diabetes; diabetic retinopathy; mass spectrometry; metabolomics; targeted metabolomics.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Correlation heatmap.
Figure 2
Figure 2
OPLS−DA score scatter plot obtained for serum data.
Figure 3
Figure 3
OPLS−DA score scatter plot obtained for aqueous humor data.
Figure 4
Figure 4
Pathway analysis for serum metabolites significantly discriminating between diabetic and nondiabetic patients. Five most significant pathways are numbered the same as in the corresponding table (Table 5).
Figure 5
Figure 5
Pathway analysis for AH metabolites significantly discriminating between diabetic and nondiabetic patients. Five most significant pathways are numbered the same as in the corresponding table (Table 6).
See this image and copyright information in PMC

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