Arginine and Carnitine Metabolites Are Altered in Diabetic Retinopathy.

Purpose: To determine plasma metabolite and metabolic pathway differences between patients with type 2 diabetes with diabetic retinopathy (DR) and without retinopathy (diabetic controls), and between patients with proliferative DR (PDR) and nonproliferative DR (NPDR). Methods: Using high-resolution mass spectrometry with liquid chromatography, untargeted metabolomics was performed on plasma samples from 83 DR patients and 90 diabetic controls. Discriminatory metabolic features were identified through partial least squares discriminant analysis, and linear regression was used to adjust for age, sex, diabetes duration, and hemoglobin A1c. Pathway analysis was performed using Mummichog 2.0. Results: In the adjusted analysis, 126 metabolic features differed significantly between DR patients and diabetic controls. Pathway analysis revealed alterations in the metabolism of amino acids, leukotrienes, niacin, pyrimidine, and purine. Arginine, citrulline, glutamic γ-semialdehyde, and dehydroxycarnitine were key contributors to these pathway differences. A total of 151 features distinguished PDR patients from NPDR patients, and pathway analysis revealed alterations in the ß-oxidation of saturated fatty acids, fatty acid metabolism, and vitamin D3 metabolism. Carnitine was a major contributor to the pathway differences. Conclusions: This study demonstrates that arginine and citrulline-related pathways are dysregulated in DR, and fatty acid metabolism is altered in PDR patients compared with NPDR patients.

The Carnitine Shuttle Pathway is Altered in Patients With Neovascular Age-Related Macular Degeneration.

Purpose: To identify metabolites and metabolic pathways altered in neovascular age-related macular degeneration (NVAMD). Methods: We performed metabolomics analysis using high-resolution C18 liquid chromatography-mass spectrometry on plasma samples from 100 NVAMD patients and 192 controls. Data for mass/charge ratio ranging from 85 to 850 were captured, and metabolic features were extracted using xMSanalyzer. Nested feature selection was used to identify metabolites that discriminated between NVAMD patients and controls. Pathway analysis was performed with Mummichog 2.0. Hierarchical clustering was used to examine the relationship between the discriminating metabolites and NVAMD patients and controls. Results: Of the 10,917 metabolic features analyzed, a set of 159 was identified that distinguished NVAMD patients from controls (area under the curve of 0.83). Of these features, 39 were annotated with confidence and included multiple carnitine metabolites. Pathway analysis revealed that the carnitine shuttle pathway was significantly altered in NVAMD patients (P = 0.0001). Tandem mass spectrometry confirmed the molecular identity of five carnitine shuttle pathway acylcarnitine intermediates that were increased in NVAMD patients. Hierarchical cluster analysis revealed that 51% of the NVAMD patients had similar metabolic profiles, whereas the remaining 49% displayed greater variability in their metabolic profiles. Conclusions: Multiple long-chain acylcarnitines that are part of the carnitine shuttle pathway were significantly increased in NVAMD patients compared to controls, suggesting that fatty acid metabolism may be involved in NVAMD pathophysiology. Cluster analysis suggested that clinically indistinguishable NVAMD patients can be separated into distinct subgroups based on metabolic profiles.

Evaluation of Acute Kidney Injury and Mortality After Intensive Blood Pressure Control in Patients With Intracerebral Hemorrhage.

BACKGROUND: We sought to assess the risk of acute kidney injury (AKI) and mortality associated with intensive systolic blood pressure reduction in acute intracerebral hemorrhage. METHODS AND RESULTS: Patients with acute intracerebral hemorrhage had spontaneous cause and symptom onset within 24 hours. We excluded patients with structural causes, coagulopathy, thrombocytopenia, and preexisting end-stage renal disease. We defined AKI using the Acute Kidney Injury Network criteria. Chronic kidney disease status was included in risk stratification and was defined by Kidney Disease Outcomes Quality Initiative staging. Maximum systolic blood pressure reduction was defined over a 12-hour period and dichotomized using receiver operating characteristic curve analysis. Descriptive statistics were done using independent sample t tests, χ2 tests, and Mann-Whitney U tests, whereas multivariable logistic regression analysis was used to evaluate for predictors for AKI and mortality. A total of 448 patients with intracerebral hemorrhage met inclusion criteria. Maximum systolic blood pressure reduction was dichotomized to 90 mm Hg and found to increase the risk of AKI in patients with normal renal function (odds ratio, 2.1; 95% confidence interval, 1.19-3.62; P=0.010) and chronic kidney disease (odds ratio, 3.91; 95% confidence interval, 1.26-12.15; P=0.019). The risk of AKI was not significantly different in normal renal function versus chronic kidney disease groups when adjusted for demographics, presentation characteristics, and medications associated with AKI. AKI positively predicted mortality for patients with normal renal function (odds ratio, 2.41; 95% confidence interval, 1.11-5.22; P=0.026) but not for patients with chronic kidney disease (odds ratio, 3.13; 95% confidence interval, 0.65-15.01; P=0.154). CONCLUSIONS: These results indicate that intensive systolic blood pressure reduction with a threshold >90 mm Hg in patients with acute intracerebral hemorrhage may be an independent predictor for AKI.

Sulfonylurea drug pretreatment and functional outcome in diabetic patients with acute intracerebral hemorrhage.

PURPOSE: Intracerebral hemorrhage (ICH) is associated with poor clinical outcome and high mortality. Sulfonylurea (SFU) use may be a viable therapy for inhibiting sulfonylurea receptor-1 and NCCa-ATP channels and reducing perihematomal edema and blood-brain barrier disruption. We sought to evaluate the effects of prehospital SFU use with outcomes in diabetic patients with acute ICH. METHODS: We retrospectively analyzed a cohort of diabetic patients presenting with acute ICH at a tertiary care center. Study inclusion criteria included spontaneous ICH etiology and age>18years. Baseline clinical severity was documented using ICH-score. Hematoma volumes (HV) on admission were calculated using ABC/2 formula. Unfavorable functional outcome was documented as discharge modified Rankin Scale scores 2-6. RESULTS: 230 diabetic patients with acute ICH fulfilled inclusion criteria (mean age 64±13years, men 53%). SFU pretreatment was documented in 16% of the study population. Patients with SFU pretreatment had significantly (p<0.05) lower median ICH-scores (0, IQR: 0-2) and median admission HV (4cm3, IQR: 1-12) compared to controls [ICH-score: 1 (IQR: 0-3); HV: 9cm3 (IQR: 3-20)]. SFU pretreatment was independently (p=0.033) and negatively associated with the cubed root of admission HV (linear regression coefficient: -0.208; 95%CI: -0.398 to -0.017) in multiple linear regression analyses adjusting for potential confounders. Pretreatment with SFU was also independently (p=0.033) associated with lower likelihood of unfavorable functional outcome (OR=0.19; 95%CI: 0.04-0.88) in multivariable logistic regression models adjusting for potential confounders. CONCLUSION: SFU pretreatment may be an independent predictor for improved functional outcome in diabetic patients with acute ICH. This association requires independent confirmation in a large prospective cohort study.

Metabolome-Wide Association Study of Primary Open Angle Glaucoma.

PURPOSE: To determine if primary open-angle glaucoma (POAG) patients can be differentiated from controls based on metabolic characteristics. METHODS: We used ultra-high resolution mass spectrometry with C18 liquid chromatography for metabolomic analysis on frozen plasma samples from 72 POAG patients and 72 controls. Metabolome-wide Spearman correlation was performed to select differentially expressed metabolites (DEM) correlated with POAG. We corrected P values for multiple testing using Benjamini and Hochberg false discovery rate (FDR). Hierarchical cluster analysis (HCA) was used to depict the relationship between participants and DEM. Differentially expressed metabolites were matched to the METLIN metabolomics database; both DEM and metabolites significantly correlating with DEM were analyzed using MetaboAnalyst to identify metabolic pathways altered in POAG. RESULTS: Of the 2440 m/z (mass/charge) features recovered after filtering, 41 differed between POAG cases and controls at FDR = 0.05. Hierarchical cluster analysis revealed these DEM to associate into eight clusters; three of these clusters contained the majority of the DEM and included palmitoylcarnitine, hydroxyergocalciferol, and high-resolution METLIN matches to sphingolipids, other vitamin D-related metabolites, and terpenes. MetaboAnalyst also indicated likely alteration in steroid biosynthesis pathways. CONCLUSIONS: Global ultrahigh resolution metabolomics emphasized the importance of altered lipid metabolism in POAG. The results suggest specific metabolic processes, such as those involving palmitoylcarnitine, sphingolipids, vitamin D-related compounds, and steroid precursors, may contribute to POAG status and merit more detailed study with targeted methods.

Mitochondrial haplogroups are associated with severity of diabetic retinopathy.

PURPOSE: To determine if specific mitochondrial haplogroups associate with nonproliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR). METHODS: Deidentified medical records for Caucasian patients with diabetic retinopathy (DR; 153 NPDR and 138 PDR) were obtained from BioVU, Vanderbilt University's electronic, deidentified DNA databank. An independent cohort of Caucasian patients with DR (44 NPDR and 57 PDR) from the Vanderbilt Eye Institute (VEI) was used for validation. We tested for an association between mitochondrial haplogroups and PDR among patients with DR. RESULTS: In the BioVU cohort, PDR frequency among Caucasian DR patients differed significantly by mitochondrial haplogroup (P = 0.027). Replication in the VEI cohort confirmed this association (P = 0.0064). In the combined cohort, patients from the common haplogroup H were more likely to have PDR (odds ratio [OR] = 2.0 [95% confidence interval (CI) = 1.3-3.0], P = 0.0012), while patients from haplogroup Uk were less likely to have PDR (OR = 0.5 [95% CI = 0.3-0.8], P = 0.0049). In logistic regression analyses, the addition of diabetes duration, hemoglobin A1c (HgbA1c) levels, and hypertension had no effect on the associations of haplogroups H and Uk with PDR. CONCLUSIONS: In this study, DR patients from mitochondrial haplogroup H were more likely to have PDR, while DR patients from haplogroup Uk were less likely to have PDR. The association was independent of the major clinical variables affecting PDR. The mitochondrial haplogroups were as strong a risk factor for PDR as were elevated HgbA1c levels.

Elevated transforming growth factor ß1 in plasma of primary open-angle glaucoma patients.

PURPOSE: To test the hypothesis that primary open-angle glaucoma (POAG) patients have a systemic elevation of transforming growth factor ß1 (TGFß1). METHODS: Plasma was prepared from blood samples drawn from patients of the Vanderbilt Eye Institute during clinic visits. Concentrations of total TGFß1 and thrombospondin-1 (TSP1) in plasma were determined by ELISA. Statistical significance of differences between POAG and control samples was evaluated by Mann-Whitney test. Regression analysis was used to evaluate correlations between plasma TGFß1 and patient age and between plasma TGFß1 and TSP1. RESULTS: Plasma samples were obtained from 148 POAG patients and 150 controls. Concentration of total TGFß1 in the plasma of POAG patients (median = 3.25 ng/mL) was significantly higher (P < 0.0001) than in controls (median = 2.46 ng/mL). Plasma TGFß1 was not correlated with age of patient (P = 0.17). Thrombospondin-1 concentration was also significantly higher (P < 0.0001) in POAG patients (median = 0.774 µg/mL) as compared to controls (median = 0.567 µg/mL). Plasma total TGFß1 and TSP1 concentrations were linearly correlated (P < 0.0001). CONCLUSIONS: Plasma samples from POAG patients display elevated total TGFß1 compared to controls, consistent with elevated systemic TGFß1 in POAG patients.

Metabolome-wide association study of neovascular age-related macular degeneration.

PURPOSE: To determine if plasma metabolic profiles can detect differences between patients with neovascular age-related macular degeneration (NVAMD) and similarly-aged controls. METHODS: Metabolomic analysis using liquid chromatography with Fourier-transform mass spectrometry (LC-FTMS) was performed on plasma samples from 26 NVAMD patients and 19 controls. Data were collected from mass/charge ratio (m/z) 85 to 850 on a Thermo LTQ-FT mass spectrometer, and metabolic features were extracted using an adaptive processing software package. Both non-transformed and log2 transformed data were corrected using Benjamini and Hochberg False Discovery Rate (FDR) to account for multiple testing. Orthogonal Partial Least Squares-Discriminant Analysis was performed to determine metabolic features that distinguished NVAMD patients from controls. Individual m/z features were matched to the Kyoto Encyclopedia of Genes and Genomes database and the Metlin metabolomics database, and metabolic pathways associated with NVAMD were identified using MetScape. RESULTS: Of the 1680 total m/z features detected by LC-FTMS, 94 unique m/z features were significantly different between NVAMD patients and controls using FDR (q = 0.05). A comparison of these features to those found with log2 transformed data (n = 132, q = 0.2) revealed 40 features in common, reaffirming the involvement of certain metabolites. Such metabolites included di- and tripeptides, covalently modified amino acids, bile acids, and vitamin D-related metabolites. Correlation analysis revealed associations among certain significant features, and pathway analysis demonstrated broader changes in tyrosine metabolism, sulfur amino acid metabolism, and amino acids related to urea metabolism. CONCLUSIONS: These data suggest that metabolomic analysis can identify a panel of individual metabolites that differ between NVAMD cases and controls. Pathway analysis can assess the involvement of certain metabolic pathways, such as tyrosine and urea metabolism, and can provide further insight into the pathophysiology of AMD.