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Liu Y, Gan L, Zhao B, Yu K, Wang Y, Männistö S, Weinstein SJ, Huang J, Albanes D. Untargeted metabolomic profiling identifies serum metabolites associated with type 2 diabetes in a cross-sectional study of the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study. Am J Physiol Endocrinol Metab 2023; 324:E167-E175. [PMID: 36516224 PMCID: PMC9925157 DOI: 10.1152/ajpendo.00287.2022] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/07/2022] [Accepted: 12/10/2022] [Indexed: 12/15/2022]
Abstract
Type 2 diabetes (T2D) is a complex chronic disease with substantial phenotypic heterogeneity affecting millions of individuals. Yet, its relevant metabolites and etiological pathways are not fully understood. The aim of this study is to assess a broad spectrum of metabolites related to T2D in a large population-based cohort. We conducted a metabolomic analysis of 4,281 male participants within the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study. The serum metabolomic analysis was performed using an LC-MS/GC-MS platform. Associations between 1,413 metabolites and T2D were examined using linear regression, controlling for important baseline risk factors. Standardized β-coefficients and standard errors (SEs) were computed to estimate the difference in metabolite concentrations. We identified 74 metabolites that were significantly associated with T2D based on the Bonferroni-corrected threshold (P < 3.5 × 10-5). The strongest signals associated with T2D were of carbohydrates origin, including glucose, 1,5-anhydroglucitol (1,5-AG), and mannose (β = 0.34, -0.91, and 0.41, respectively; all P < 10-75). We found several chemical class pathways that were significantly associated with T2D, including carbohydrates (P = 1.3 × 10-11), amino acids (P = 2.7 × 10-6), energy (P = 1.5 × 10-4), and xenobiotics (P = 1.2 × 10-3). The strongest subpathway associations were seen for fructose-mannose-galactose metabolism, glycolysis-gluconeogenesis-pyruvate metabolism, fatty acid metabolism (acyl choline), and leucine-isoleucine-valine metabolism (all P < 10-8). Our findings identified various metabolites and candidate chemical class pathways that can be characterized by glycolysis and gluconeogenesis metabolism, fructose-mannose-galactose metabolism, branched-chain amino acids, diacylglycerol, acyl cholines, fatty acid oxidation, and mitochondrial dysfunction.NEW & NOTEWORTHY These metabolomic patterns may provide new additional evidence and potential insights relevant to the molecular basis of insulin resistance and the etiology of T2D.
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Affiliation(s)
- Yuzhao Liu
- Department of Endocrinology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Lu Gan
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Bin Zhao
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, NIH, Bethesda, Maryland
| | - Yangang Wang
- Department of Endocrinology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Satu Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, NIH, Bethesda, Maryland
| | - Jiaqi Huang
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, NIH, Bethesda, Maryland
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Fanni G, Eriksson JW, Pereira MJ. Several Metabolite Families Display Inflexibility during Glucose Challenge in Patients with Type 2 Diabetes: An Untargeted Metabolomics Study. Metabolites 2023; 13:metabo13010131. [PMID: 36677056 PMCID: PMC9863788 DOI: 10.3390/metabo13010131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/06/2023] [Accepted: 01/12/2023] [Indexed: 01/18/2023] Open
Abstract
Metabolic inflexibility is a hallmark of insulin resistance and can be extensively explored with high-throughput metabolomics techniques. However, the dynamic regulation of the metabolome during an oral glucose tolerance test (OGTT) in subjects with type 2 diabetes (T2D) is largely unknown. We aimed to identify alterations in metabolite responses to OGTT in subjects with T2D using untargeted metabolomics of both plasma and subcutaneous adipose tissue (SAT) samples. Twenty subjects with T2D and twenty healthy controls matched for sex, age, and body mass index (BMI) were profiled with untargeted metabolomics both in plasma (755 metabolites) and in the SAT (588) during an OGTT. We assessed metabolite concentration changes 90 min after the glucose load, and those responses were compared between patients with T2D and controls. Post-hoc analyses were performed to explore the associations between glucose-induced metabolite responses and markers of obesity and glucose metabolism, sex, and age. During the OGTT, T2D subjects had an impaired reduction in plasma levels of several metabolite families, including acylcarnitines, amino acids, acyl ethanolamines, and fatty acid derivates (p < 0.05), compared to controls. Additionally, patients with T2D had a greater increase in plasma glucose and fructose levels during the OGTT compared to controls (p < 0.05). The plasma concentration change of most metabolites after the glucose load was mainly associated with indices of hyperglycemia rather than insulin resistance, insulin secretion, or BMI. In multiple linear regression analyses, hyperglycemia indices (glucose area under the curve (AUC) during OGTT and glycosylated hemoglobin (HbA1c)) were the strongest predictors of plasma metabolite changes during the OGTT. No differences were found in the adipose tissue metabolome in response to the glucose challenge between T2D and controls. Using a metabolomics approach, we show that T2D patients display attenuated responses in several circulating metabolite families during an OGTT. Besides the well-known increase in monosaccharides, the glucose-induced lowering of amino acids, acylcarnitines, and fatty acid derivatives was attenuated in T2D subjects compared to controls. These data support the hypothesis of inflexibility in several metabolic pathways, which may contribute to dysregulated substrate partitioning and turnover in T2D. These findings are not directly associated with changes in adipose tissue metabolism; therefore, other tissues, such as muscle and liver, are probably of greater importance.
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Genetically Higher Level of Mannose Has No Impact on Cardiometabolic Risk Factors: Insight from Mendelian Randomization. Nutrients 2021; 13:nu13082563. [PMID: 34444725 PMCID: PMC8398879 DOI: 10.3390/nu13082563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/15/2021] [Accepted: 07/16/2021] [Indexed: 11/19/2022] Open
Abstract
Background: There is a handful of controversial data from observational studies on the serum levels of mannose and risks of coronary artery disease (CAD) and other cardiometabolic risk factors. We applied Mendelian Randomization (MR) analysis to obtain estimates of the causal effect of serum mannose on the risk of CAD and on cardiometabolic risk factors. Methods: Two-sample MR was implemented by using summary-level data from the largest genome-wide association studies (GWAS) conducted on serum mannose and CAD and cardiometabolic risk factors. The inverse variance weighted method (IVW) was used to estimate the effects, and a sensitivity analysis including the weighted median (WM)-based method, MR-Egger, MR-Pleiotropy RESidual Sum and Outlier (PRESSO) were applied. Radial MR Methods was applied to remove outliers subject to pleiotropic bias. We further conducted a leave-one-out analysis. Results: Mannose had no significant effect on CAD (IVW: odds ratio: 0.96 (95% Confidence Interval (95%CI): 0.71−1.30)), total cholesterol (TC) (IVW: 95%CI: 0.60−1.08), low density lipoprotein (LDL) (IVW: 95%CI = 0.68−1.15), high density lipoprotein (HDL) (IVW: 95%CI = 0.85−1.20), triglycerides (TG) (IVW: 95%CI = 0.38−1.08), waist circumference (WC) (IVW: 95%CI = 0.94−1.37), body mass index (BMI) (IVW: 95%CI = 0.93−1.29) and fasting blood glucose (FBG) (IVW: 95%CI = 0.92−1.33), with no heterogeneity for CAD, HDL, WC and BMI (all p > 0.092), while a significant heterogeneity was observed for TC (IVW: Q = 44.503), LDL (IVW: Q = 33.450), TG (IVW: Q = 159.645) and FBG (IVW: Q = 0. 32.132). An analysis of MR-PRESSO and radial plots did not highlight any outliers. The results of the leave-one-out method demonstrated that the links were not driven by a single instrument. Conclusions: We did not find any effect of mannose on adiposity, glucose, TC, LDL, TG and CAD.
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Halama A, Suleiman NN, Kulinski M, Bettahi I, Hassoun S, Alkasem M, Abdalhakam I, Iskandarani A, Samra TA, Atkin SL, Suhre K, Abou-Samra AB. The metabolic footprint of compromised insulin sensitivity under fasting and hyperinsulinemic-euglycemic clamp conditions in an Arab population. Sci Rep 2020; 10:17164. [PMID: 33051490 PMCID: PMC7555540 DOI: 10.1038/s41598-020-73723-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 09/15/2020] [Indexed: 11/29/2022] Open
Abstract
Metabolic pathways that are corrupted at early stages of insulin resistance (IR) remain elusive. This study investigates changes in body metabolism in clinically healthy and otherwise asymptomatic subjects that may become apparent already under compromised insulin sensitivity (IS) and prior to IR. 47 clinically healthy Arab male subjects with a broad range of IS, determined by hyperinsulinemic-euglycemic clamp (HIEC), were investigated. Untargeted metabolomics and complex lipidomics were conducted on serum samples collected under fasting and HIEC conditions. Linear models were used to identify associations between metabolites concentrations and IS levels. Among 1896 identified metabolites, 551 showed significant differences between fasting and HIEC, reflecting the metabolic switch in energy utilization. At fasting, 336 metabolites, predominantly di- and tri-acylglycerols, showed significant differences between subjects with low and high levels of IS. Changes in amino acid, carbohydrate and fatty acid metabolism in response to insulin were impaired in subjects with low IS. Association of altered mannose and amino acids with IS was also replicated in an independent cohort of T2D patients. We identified metabolic phenotypes that characterize clinically healthy Arab subjects with low levels of IS at their fasting state. Our study is providing further insights into the metabolic pathways that precede IR.
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Affiliation(s)
- Anna Halama
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar.
| | - Noor N Suleiman
- Department of Internal Medicine, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar
| | - Michal Kulinski
- Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Ilham Bettahi
- Department of Internal Medicine, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar.,Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Shaimaa Hassoun
- Department of Internal Medicine, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar
| | - Meis Alkasem
- Department of Internal Medicine, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar.,Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Ibrahem Abdalhakam
- Department of Internal Medicine, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar
| | - Ahmad Iskandarani
- Department of Internal Medicine, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar.,Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Tareq A Samra
- Department of Internal Medicine, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar.,Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar
| | - Stephen L Atkin
- Weill Cornell Medicine-Qatar, Doha, Qatar.,Royal College of Surgeons in Ireland, Busaiteen, Bahrain
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar.
| | - Abdul Badi Abou-Samra
- Department of Internal Medicine, Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar. .,Weill Cornell Medicine-Qatar, Doha, Qatar.
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Biomarker Phenotype for Early Diagnosis and Triage of Sepsis to the Pediatric Intensive Care Unit. Sci Rep 2018; 8:16606. [PMID: 30413795 PMCID: PMC6226431 DOI: 10.1038/s41598-018-35000-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 10/28/2018] [Indexed: 12/29/2022] Open
Abstract
Early diagnosis and triage of sepsis improves outcomes. We aimed to identify biomarkers that may advance diagnosis and triage of pediatric sepsis. Serum and plasma samples were collected from young children (1–23 months old) with sepsis on presentation to the Pediatric Intensive Care Unit (PICU-sepsis, n = 46) or Pediatric Emergency Department (PED-sepsis, n = 58) and PED-non-sepsis patients (n = 19). Multivariate analysis was applied to distinguish between patient groups. Results were compared to our results for older children (2–17 years old). Common metabolites and protein-mediators were validated as potential biomarkers for a sepsis-triage model to differentiate PICU-sepsis from PED-sepsis in children age 1 month-17 years. Metabolomics in young children clearly separated the PICU-sepsis and PED-sepsis cohorts: sensitivity 0.71, specificity 0.93, and AUROC = 0.90 ± 0.03. Adding protein-mediators to the model did not improve performance. The seven metabolites common to the young and older children were used to create the sepsis-triage model. Validation of the sepsis-triage model resulted in sensitivity: 0.83 ± 0.02, specificity: 0.88 ± 0.05 and AUROC 0.93 ± 0.02. The metabolic-based biomarkers predicted which sepsis patients required care in a PICU versus those that could be safely cared for outside of a PICU. This has potential to inform appropriate triage of pediatric sepsis, particularly in EDs with less experience evaluating children.
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Amano E, Funakoshi S, Yoshimura K, Hirano S, Ohmi S, Takata H, Terada Y, Fujimoto S. Fasting plasma mannose levels are associated with insulin sensitivity independent of BMI in Japanese individuals with diabetes. Diabetol Metab Syndr 2018; 10:88. [PMID: 30534205 PMCID: PMC6280490 DOI: 10.1186/s13098-018-0391-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 11/29/2018] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Recently, an integrated network analysis has revealed dysregulation in the metabolism of mannose, a glucose epimer, in severely obese individuals without diabetes. In addition, fasting plasma mannose levels (M0) are associated with insulin resistance independent of BMI. Since the association between mannose and insulin sensitivity (IS) in those with impaired glucose tolerance remains unknown, we aimed to investigate this association in individuals without severe obesity but with varying degrees of glucose tolerance. METHODS Based on 75 g OGTT data in Japanese individuals without diabetic medication, individuals were classified as having normal glucose tolerance (NGT), impaired glucose metabolism (IGM), or diabetes (DM). In each group, 25 individuals were consecutively recruited [total 75 individuals, age: 65 ± 11 (mean ± SD); BMI: 24.9 ± 3.8 kg/m2]. QUICKI and Matsuda index (MI) were calculated as IS indices. M0 was assayed using HPLC. Normally-distributed loge-transformed (ln-) values were used for MI and leptin. RESULTS In the simple regression analysis, ln-MI was negatively correlated with BMI (NGT: r = - 0.639, IGM: r = - 0.466, DM: r = - 0.613) and ln-leptin (NGT: r = - 0.480, IGT: r = - 0.447, DM: r = - 0.593) in all 3 groups. Ln-MI was not significantly correlated with M0 in NGT (r = 0.241, P = 0.245) and IGT (r = - 0.296, P = 0.152) groups, it was moderately and negatively correlated in the DM group (r = - 0.626, P < 0.001). Similar results were obtained, when QUICKI was used instead of MI as an index of IS. In multiple regression analysis in the DM group, QUICKI (Q) and ln-MI (M) were independently predicted by BMI (Q: β = - 0.413; M: β = - 0.400) and M0 (Q: β = - 0.413, M: β = - 0.426), accounting for 51.2% (P = 0.0004) and 51.2% (P = 0.0004) of the variability, respectively, which was larger than the prediction for BMI alone (Q: 38.4%, M: 37.6%). CONCLUSION Fasting plasma mannose was associated with IS independent of BMI in Japanese individuals with DM.
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Affiliation(s)
- Eri Amano
- Department of Endocrinology, Metabolism, and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505 Japan
| | - Shogo Funakoshi
- Department of Endocrinology, Metabolism, and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505 Japan
| | - Kumiko Yoshimura
- Department of Endocrinology, Metabolism, and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505 Japan
| | - Seiki Hirano
- Department of Endocrinology, Metabolism, and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505 Japan
| | - Satoko Ohmi
- Department of Endocrinology, Metabolism, and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505 Japan
| | - Hiroshi Takata
- Department of Endocrinology, Metabolism, and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505 Japan
| | - Yoshio Terada
- Department of Endocrinology, Metabolism, and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505 Japan
| | - Shimpei Fujimoto
- Department of Endocrinology, Metabolism, and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi 783-8505 Japan
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Yoshimura K, Hirano S, Takata H, Funakoshi S, Ohmi S, Amano E, Nishi Y, Inoue M, Fukuda Y, Hayashi H, Taguchi T, Yamada S, Miwa I, Terada Y, Fujimoto S. Plasma mannose level, a putative indicator of glycogenolysis, and glucose tolerance in Japanese individuals. J Diabetes Investig 2017; 8:489-495. [PMID: 28084015 PMCID: PMC5497030 DOI: 10.1111/jdi.12622] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Revised: 12/26/2016] [Accepted: 01/09/2017] [Indexed: 11/28/2022] Open
Abstract
AIMS/INTRODUCTION Mannose is a monosaccharide constituent of glycoproteins and glycolipids. Experiments in rats have shown previously that the plasma mannose level decreases after glucose load, but does not decrease in diabetic rats, and that hepatic glycogenolysis is a source of this plasma mannose; however, these results are not fully elucidated in humans. Plasma mannose levels before/after glucose loading in humans with various degrees of glucose intolerance were examined to analyze their association with clinical factors. MATERIALS AND METHODS The 75-g oral glucose tolerance test was carried out in Japanese individuals not taking diabetes medications. Participants were classified into normal glucose tolerance, impaired glucose metabolism and diabetes mellitus groups. Insulinogenic index as an index of insulin secretion, and Matsuda Index as an index of insulin sensitivity were calculated. Mannose was assayed by the established method using high-performance liquid chromatography after labeling. RESULTS After glucose load, the plasma mannose level decreased gradually in the normal glucose tolerance group, but did not decrease in the diabetes mellitus group. Plasma mannose changes during 120 min from baseline (M120 -M0 ) were significantly different among the three groups (normal glucose tolerance: -16.7 ± 1.7; impaired glucose metabolism: -9.0 ± 1.9; diabetes mellitus: -1.4 ± 1.8 μmol/L [n = 25 in each group], P < 0.0001). Plasma glucose 120 min after glucose loading (R2 = 0.412) or loge -insulinogenic index, loge -Matsuda Index and age (R2 = 0.230) were determinants of M120 -M0 in multiple regression analyses. CONCLUSIONS We clarified the relationship between plasma mannose level and glucose tolerance in humans. The present results are compatible with those using rats, in which mannose derived from glycogenolysis plays an important role in the alteration of mannose levels after glucose loading.
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Affiliation(s)
- Kumiko Yoshimura
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Seiki Hirano
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Hiroshi Takata
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Shogo Funakoshi
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Satoko Ohmi
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Eri Amano
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Yuichi Nishi
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Mari Inoue
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
| | | | - Hikari Hayashi
- Department of Pathobiochemistry, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Tadao Taguchi
- Department of Pathobiochemistry, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Shuhei Yamada
- Department of Pathobiochemistry, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Ichitomo Miwa
- Department of Pathobiochemistry, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Yoshio Terada
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Shimpei Fujimoto
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Nankoku, Japan
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Pietzner M, Engelmann B, Kacprowski T, Golchert J, Dirk AL, Hammer E, Iwen KA, Nauck M, Wallaschofski H, Führer D, Münte TF, Friedrich N, Völker U, Homuth G, Brabant G. Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model. BMC Med 2017; 15:6. [PMID: 28065164 PMCID: PMC5220622 DOI: 10.1186/s12916-016-0770-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2016] [Accepted: 12/15/2016] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Determinations of thyrotropin (TSH) and free thyroxine (FT4) represent the gold standard in evaluation of thyroid function. To screen for novel peripheral biomarkers of thyroid function and to characterize FT4-associated physiological signatures in human plasma we used an untargeted OMICS approach in a thyrotoxicosis model. METHODS A sample of 16 healthy young men were treated with levothyroxine for 8 weeks and plasma was sampled before the intake was started as well as at two points during treatment and after its completion, respectively. Mass spectrometry-derived metabolite and protein levels were related to FT4 serum concentrations using mixed-effect linear regression models in a robust setting. To compile a molecular signature discriminating between thyrotoxicosis and euthyroidism, a random forest was trained and validated in a two-stage cross-validation procedure. RESULTS Despite the absence of obvious clinical symptoms, mass spectrometry analyses detected 65 metabolites and 63 proteins exhibiting significant associations with serum FT4. A subset of 15 molecules allowed a robust and good prediction of thyroid hormone function (AUC = 0.86) without prior information on TSH or FT4. Main FT4-associated signatures indicated increased resting energy expenditure, augmented defense against systemic oxidative stress, decreased lipoprotein particle levels, and increased levels of complement system proteins and coagulation factors. Further association findings question the reliability of kidney function assessment under hyperthyroid conditions and suggest a link between hyperthyroidism and cardiovascular diseases via increased dimethylarginine levels. CONCLUSION Our results emphasize the power of untargeted OMICs approaches to detect novel pathways of thyroid hormone action. Furthermore, beyond TSH and FT4, we demonstrated the potential of such analyses to identify new molecular signatures for diagnosis and treatment of thyroid disorders. This study was registered at the German Clinical Trials Register (DRKS) [DRKS00011275] on the 16th of November 2016.
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Affiliation(s)
- Maik Pietzner
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Beatrice Engelmann
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz-Arndt University Greifswald, Friedrich-Ludwig-Jahn-Straße 15a, D-17475 Greifswald, Germany
| | - Tim Kacprowski
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz-Arndt University Greifswald, Friedrich-Ludwig-Jahn-Straße 15a, D-17475 Greifswald, Germany
| | - Janine Golchert
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz-Arndt University Greifswald, Friedrich-Ludwig-Jahn-Straße 15a, D-17475 Greifswald, Germany
| | - Anna-Luise Dirk
- Medical Clinic I, University of Lübeck, Experimental and Clinical Endocrinology, Ratzeburger Allee 160, Zentralklinikum (Haus 40), 23538 Lübeck, Germany
| | - Elke Hammer
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz-Arndt University Greifswald, Friedrich-Ludwig-Jahn-Straße 15a, D-17475 Greifswald, Germany
| | - K. Alexander Iwen
- Medical Clinic I, University of Lübeck, Experimental and Clinical Endocrinology, Ratzeburger Allee 160, Zentralklinikum (Haus 40), 23538 Lübeck, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
- Private Practice Endocrinology, Krämpferstraße 6, 99094 Erfurt, Germany
| | - Dagmar Führer
- Department of Endocrinology and Metabolism, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Germany
| | - Thomas F. Münte
- Department of Neurology, University of Lübeck, Ratzeburger Allee 169, 23538 Lübeck, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Research Centre for Prevention and Health, Glostrup University Hospital, Nordre Ringvej 57, 2600 Glostrup, Denmark
| | - Uwe Völker
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz-Arndt University Greifswald, Friedrich-Ludwig-Jahn-Straße 15a, D-17475 Greifswald, Germany
- ZIK-FunGene (Zentrum für Innovationskompetenz - Funktionelle Genomforschung), Greifswald, Germany
| | - Georg Homuth
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz-Arndt University Greifswald, Friedrich-Ludwig-Jahn-Straße 15a, D-17475 Greifswald, Germany
- ZIK-FunGene (Zentrum für Innovationskompetenz - Funktionelle Genomforschung), Greifswald, Germany
| | - Georg Brabant
- Medical Clinic I, University of Lübeck, Experimental and Clinical Endocrinology, Ratzeburger Allee 160, Zentralklinikum (Haus 40), 23538 Lübeck, Germany
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9
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Mickiewicz B, Thompson GC, Blackwood J, Jenne CN, Winston BW, Vogel HJ, Joffe AR. Development of metabolic and inflammatory mediator biomarker phenotyping for early diagnosis and triage of pediatric sepsis. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2015; 19:320. [PMID: 26349677 PMCID: PMC4563828 DOI: 10.1186/s13054-015-1026-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Accepted: 08/12/2015] [Indexed: 02/08/2023]
Abstract
Introduction The first steps in goal-directed therapy for sepsis are early diagnosis followed by appropriate triage. These steps are usually left to the physician’s judgment, as there is no accepted biomarker available. We aimed to determine biomarker phenotypes that differentiate children with sepsis who require intensive care from those who do not. Methods We conducted a prospective, observational nested cohort study at two pediatric intensive care units (PICUs) and one pediatric emergency department (ED). Children ages 2–17 years presenting to the PICU or ED with sepsis or presenting for procedural sedation to the ED were enrolled. We used the judgment of regional pediatric ED and PICU attending physicians as the standard to determine triage location (PICU or ED). We performed metabolic and inflammatory protein mediator profiling with serum and plasma samples, respectively, collected upon presentation, followed by multivariate statistical analysis. Results Ninety-four PICU sepsis, 81 ED sepsis, and 63 ED control patients were included. Metabolomic profiling revealed clear separation of groups, differentiating PICU sepsis from ED sepsis with accuracy of 0.89, area under the receiver operating characteristic curve (AUROC) of 0.96 (standard deviation [SD] 0.01), and predictive ability (Q2) of 0.60. Protein mediator profiling also showed clear separation of the groups, differentiating PICU sepsis from ED sepsis with accuracy of 0.78 and AUROC of 0.88 (SD 0.03). Combining metabolomic and protein mediator profiling improved the model (Q2 =0.62), differentiating PICU sepsis from ED sepsis with accuracy of 0.87 and AUROC of 0.95 (SD 0.01). Separation of PICU sepsis or ED sepsis from ED controls was even more accurate. Prespecified age subgroups (2–5 years old and 6–17 years old) improved model accuracy minimally. Seventeen metabolites or protein mediators accounted for separation of PICU sepsis and ED sepsis with 95 % confidence. Conclusions In children ages 2–17 years, combining metabolomic and inflammatory protein mediator profiling early after presentation may differentiate children with sepsis requiring care in a PICU from children with or without sepsis safely cared for outside a PICU. This may aid in making triage decisions, particularly in an ED without pediatric expertise. This finding requires validation in an independent cohort. Electronic supplementary material The online version of this article (doi:10.1186/s13054-015-1026-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Beata Mickiewicz
- Bio-NMR Center, Department of Biological Sciences, University of Calgary, Calgary, AB, Canada.
| | - Graham C Thompson
- Division of Emergency Medicine, Department of Pediatrics, University of Calgary, Calgary, AB, Canada.
| | - Jaime Blackwood
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Alberta, 4-546 Edmonton Clinic Health Academy; 11405 87 Avenue, Edmonton, AB, T6G 1C9, Canada.
| | - Craig N Jenne
- Calvin, Phoebe and Joan Snyder Institute for Chronic Diseases, University of Calgary, Calgary, AB, Canada. .,Department of Critical Care Medicine, University of Calgary, Calgary, AB, Canada.
| | - Brent W Winston
- Department of Critical Care Medicine, University of Calgary, Calgary, AB, Canada. .,Department of Medicine, University of Calgary, Calgary, AB, Canada. .,Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, AB, Canada.
| | - Hans J Vogel
- Bio-NMR Center, Department of Biological Sciences, University of Calgary, Calgary, AB, Canada.
| | - Ari R Joffe
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Alberta, 4-546 Edmonton Clinic Health Academy; 11405 87 Avenue, Edmonton, AB, T6G 1C9, Canada.
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10
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Butte NF, Liu Y, Zakeri IF, Mohney RP, Mehta N, Voruganti VS, Göring H, Cole SA, Comuzzie AG. Global metabolomic profiling targeting childhood obesity in the Hispanic population. Am J Clin Nutr 2015; 102:256-67. [PMID: 26085512 PMCID: PMC4515872 DOI: 10.3945/ajcn.115.111872] [Citation(s) in RCA: 159] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 05/18/2015] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Metabolomics may unravel important biological pathways involved in the pathophysiology of childhood obesity. OBJECTIVES We aimed to 1) identify metabolites that differ significantly between nonobese and obese Hispanic children; 2) collapse metabolites into principal components (PCs) associated with obesity and metabolic risk, specifically hyperinsulinemia, hypertriglyceridemia, hyperleptinemia, and hyperuricemia; and 3) identify metabolites associated with energy expenditure and fat oxidation. DESIGN This trial was a cross-sectional observational study of metabolomics by using gas chromatography-mass spectrometry and ultrahigh-performance liquid chromatography-tandem mass spectrometry analyses performed on fasting plasma samples from 353 nonobese and 450 obese Hispanic children. RESULTS Branched-chained amino acids (BCAAs) (Leu, Ile, and Val) and their catabolites, propionylcarnitine and butyrylcarnitine, were significantly elevated in obese children. Strikingly lower lysolipids and dicarboxylated fatty acids were seen in obese children. Steroid derivatives were markedly higher in obese children as were markers of inflammation and oxidative stress. PC6 (BCAAs and aromatic AAs) and PC10 (asparagine, glycine, and serine) made the largest contributions to body mass index, and PC10 and PC12 (acylcarnitines) made the largest contributions to adiposity. Metabolic risk factors and total energy expenditure were associated with PC6, PC9 (AA and tricarboxylic acid cycle metabolites), and PC10. Fat oxidation was inversely related to PC8 (lysolipids) and positively related to PC16 (acylcarnitines). CONCLUSIONS Global metabolomic profiling in nonobese and obese children replicates the increased BCAA and acylcarnitine catabolism and changes in nucleotides, lysolipids, and inflammation markers seen in obese adults; however, a strong signature of reduced fatty acid catabolism and increased steroid derivatives may be unique to obese children. Metabolic flexibility in fuel use observed in obese children may occur through the activation of alternative intermediary pathways. Insulin resistance, hyperleptinemia, hypertriglyceridemia, hyperuricemia, and oxidative stress and inflammation evident in obese children are associated with distinct metabolomic profiles.
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Affiliation(s)
- Nancy F Butte
- USDA/Agricultural Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX;
| | - Yan Liu
- USDA/Agricultural Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Issa F Zakeri
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA
| | | | - Nitesh Mehta
- USDA/Agricultural Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - V Saroja Voruganti
- Department of Nutrition and University of North Carolina at Chapel Hill Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC; and
| | - Harald Göring
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Shelley A Cole
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX
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11
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Abstract
Metabolic profiling, or metabolomics, has developed into a mature science in recent years. It has major applications in the study of metabolic disorders. This review addresses issues relevant to the choice of the metabolomics platform, study design and data analysis in diabetes research, and presents recent advances using metabolomics in the identification of markers for altered metabolic pathways, biomarker discovery, challenge studies, metabolic markers of drug efficacy and off-target effects. The role of genetic variance and intermediate metabolic phenotypes and its relevance to diabetes research is also addressed.
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Affiliation(s)
- Karsten Suhre
- Department of Physiology and BiophysicsQatar Foundation - Education City, Weill Cornell Medical College - Qatar, PO Box 24144, Doha, QatarInstitute of Bioinformatics and Systems BiologyHelmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, GermanyDepartment of Physiology and BiophysicsQatar Foundation - Education City, Weill Cornell Medical College - Qatar, PO Box 24144, Doha, QatarInstitute of Bioinformatics and Systems BiologyHelmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
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12
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Brown LD, Thorn SR, Cheung A, Lavezzi JR, Battaglia FC, Rozance PJ. Changes in fetal mannose and other carbohydrates induced by a maternal insulin infusion in pregnant sheep. J Anim Sci Biotechnol 2014; 5:28. [PMID: 24917928 PMCID: PMC4051387 DOI: 10.1186/2049-1891-5-28] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Accepted: 05/19/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The importance of non-glucose carbohydrates, especially mannose and inositol, for normal development is increasingly recognized. Whether pregnancies complicated by abnormal glucose transfer to the fetus also affect the regulation of non-glucose carbohydrates is unknown. In pregnant sheep, maternal insulin infusions were used to reduce glucose supply to the fetus for both short (2-wk) and long (8-wk) durations to test the hypothesis that a maternal insulin infusion would suppress fetal mannose and inositol concentrations. We also used direct fetal insulin infusions (1-wk hyperinsulinemic-isoglycemic clamp) to determine the relative importance of fetal glucose and insulin for regulating non-glucose carbohydrates. RESULTS A maternal insulin infusion resulted in lower maternal (50%, P < 0.01) and fetal (35-45%, P < 0.01) mannose concentrations, which were highly correlated (r(2) = 0.69, P < 0.01). A fetal insulin infusion resulted in a 50% reduction of fetal mannose (P < 0.05). Neither maternal nor fetal plasma inositol changed with exogenous insulin infusions. Additionally, maternal insulin infusion resulted in lower fetal sorbitol and fructose (P < 0.01). CONCLUSIONS Chronically decreased glucose supply to the fetus as well as fetal hyperinsulinemia both reduce fetal non-glucose carbohydrates. Given the role of these carbohydrates in protein glycosylation and lipid production, more research on their metabolism in pregnancies complicated by abnormal glucose metabolism is clearly warranted.
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Affiliation(s)
- Laura D Brown
- Perinatal Research Center, Division of Neonatology, Department of Pediatrics, University of Colorado Denver School of Medicine, Aurora, CO, USA ; Center for Women's Health Research, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Stephanie R Thorn
- Perinatal Research Center, Division of Neonatology, Department of Pediatrics, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Alex Cheung
- Perinatal Research Center, Division of Neonatology, Department of Pediatrics, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Jinny R Lavezzi
- Perinatal Research Center, Division of Neonatology, Department of Pediatrics, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Frederick C Battaglia
- Perinatal Research Center, Division of Neonatology, Department of Pediatrics, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Paul J Rozance
- Perinatal Research Center, Division of Neonatology, Department of Pediatrics, University of Colorado Denver School of Medicine, Aurora, CO, USA ; Center for Women's Health Research, University of Colorado Denver School of Medicine, Aurora, CO, USA
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13
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Urayama A. Toward the successful delivery of lysosomal enzymes across the blood-brain barrier. ACTA ACUST UNITED AC 2013. [DOI: 10.1111/cen3.12037] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Akihiko Urayama
- Department of Neurology; University of Texas Medical School at Houston; Houston; TX; USA
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14
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Miwa I, Taguchi T. A simple HPLC assay for plasma D-mannose. Clin Chim Acta 2013; 422:42-3. [DOI: 10.1016/j.cca.2013.04.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2013] [Revised: 04/02/2013] [Accepted: 04/05/2013] [Indexed: 10/27/2022]
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15
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Nagasaka H, Yorifuji T, Bandsma RHJ, Takatani T, Asano H, Mochizuki H, Takuwa M, Tsukahara H, Inui A, Tsunoda T, Komatsu H, Hiejima E, Fujisawa T, Hirano KI, Miida T, Ohtake A, Taguchi T, Miwa I. Sustained high plasma mannose less sensitive to fluctuating blood glucose in glycogen storage disease type Ia children. J Inherit Metab Dis 2013; 36:75-81. [PMID: 22971957 DOI: 10.1007/s10545-012-9514-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2011] [Revised: 06/03/2012] [Accepted: 06/26/2012] [Indexed: 01/18/2023]
Abstract
Plasma mannose is suggested to be largely generated from liver glycogen-oriented glucose-6-phosphate. This study examined plasma mannose in glycogen storage disease type Ia (GSD Ia) lacking conversion of glucose-6-phosphate to glucose in the liver. We initially examined fasting--and postprandial 2 h--plasma mannose and other blood carbohydrates and lipids for seven GSD Ia children receiving dietary interventions using cornstarch and six healthy age-matched children. Next, one-day successive intra-individual parameter changes were examined for six affected and two control children. Although there were no significant differences in fasting--and postprandial 2 h--glucose and insulin levels, the mannose level of the affected group was invariably much higher than that of the control group (p < 0.001): the fasting level of the affected group was about two-fold that of the control group; the postprandial-2 h level remained almost unchanged in the affected group, although it was one-half of the fasting level in the control group. Inter-individual analyses revealed that the GSD Ia group mannose level was significantly and positively correlated with lactate and triglycerides levels at both time points (p < 0.01). In each control, mannose levels fluctuated greatly, maintaining strong and significant negative correlations with glucose and insulin levels (p < 0.001). Correlations were lower or nonexistent in GSD Ia children. In individuals with high lactate and triglycerides levels, strikingly high mannose levels never changed against glucose and insulin fluctuations. Plasma mannose is less sensitive to blood glucose and insulin in GSD Ia children. Its basal level and the fluctuation pattern differ by their metabolic activity.
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Affiliation(s)
- Hironori Nagasaka
- Department of Pediatrics, Takarazuka City Hospital, Takarazuka 665-0827, Japan.
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16
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Grempler R, Augustin R, Froehner S, Hildebrandt T, Simon E, Mark M, Eickelmann P. Functional characterisation of human SGLT-5 as a novel kidney-specific sodium-dependent sugar transporter. FEBS Lett 2011; 586:248-53. [PMID: 22212718 DOI: 10.1016/j.febslet.2011.12.027] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2011] [Revised: 12/12/2011] [Accepted: 12/21/2011] [Indexed: 10/14/2022]
Abstract
Sodium glucose cotransporters (SGLT) actively catalyse carbohydrate transport across cellular membranes. Six of the 12 known SGLT family members have the capacity to bind and/or transport monosaccharides (SGLT-1 to 6); of these, all but SGLT-5 have been characterised. Here we demonstrate that human SGLT-5 is exclusively expressed in the kidney. Four splice variants were detected and the most abundant SGLT-5-mRNA was functionally characterised. SGLT-5 mediates sodium-dependent [(14)C]-α-methyl-D-glucose (AMG) transport that can be inhibited by mannose, fructose, glucose, and galactose. Uptake studies using demonstrated high capacity transport for mannose and fructose and, to a lesser extent, glucose, AMG, and galactose. SGLT-5 mediated mannose, fructose and AMG transport was weakly (μM potency) inhibited by SGLT-2 inhibitors. In summary, we have characterised SGLT-5 as a kidney mannose transporter. Further studies are warranted to explore the physiological role of SGLT-5.
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Affiliation(s)
- Rolf Grempler
- Department of CardioMetabolic Diseases Research, Boehringer Ingelheim Pharma GmbH & Co.KG, Biberach, Germany.
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17
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Suhre K, Shin SY, Petersen AK, Mohney RP, Meredith D, Wägele B, Altmaier E, Deloukas P, Erdmann J, Grundberg E, Hammond CJ, de Angelis MH, Kastenmüller G, Köttgen A, Kronenberg F, Mangino M, Meisinger C, Meitinger T, Mewes HW, Milburn MV, Prehn C, Raffler J, Ried JS, Römisch-Margl W, Samani NJ, Small KS, Wichmann HE, Zhai G, Illig T, Spector TD, Adamski J, Soranzo N, Gieger C. Human metabolic individuality in biomedical and pharmaceutical research. Nature 2011; 477:54-60. [PMID: 21886157 PMCID: PMC3832838 DOI: 10.1038/nature10354] [Citation(s) in RCA: 814] [Impact Index Per Article: 58.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2010] [Accepted: 06/30/2011] [Indexed: 01/08/2023]
Abstract
Genome-wide association studies (GWAS) have identified many risk loci for complex diseases, but effect sizes are typically small and information on the underlying biological processes is often lacking. Associations with metabolic traits as functional intermediates can overcome these problems and potentially inform individualized therapy. Here we report a comprehensive analysis of genotype-dependent metabolic phenotypes using a GWAS with non-targeted metabolomics. We identified 37 genetic loci associated with blood metabolite concentrations, of which 25 show effect sizes that are unusually high for GWAS and account for 10-60% differences in metabolite levels per allele copy. Our associations provide new functional insights for many disease-related associations that have been reported in previous studies, including those for cardiovascular and kidney disorders, type 2 diabetes, cancer, gout, venous thromboembolism and Crohn's disease. The study advances our knowledge of the genetic basis of metabolic individuality in humans and generates many new hypotheses for biomedical and pharmaceutical research.
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Affiliation(s)
- Karsten Suhre
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Faculty of Biology, Ludwig-Maximilians-Universität, Planegg-Martinsried, Germany
- Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Education City - Qatar Foundation, Doha, Qatar
| | - So-Youn Shin
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton UK
| | - Ann-Kristin Petersen
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | | | - David Meredith
- School of Life Sciences, Oxford Brookes University, Headington, Oxford, UK
| | - Brigitte Wägele
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Genome-oriented Bioinformatics, Life and Food Science Center Weihenstephan, Technische Universität München, Freising-Weihenstephan, Germany
| | - Elisabeth Altmaier
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - CARDIoGRAM
- The member list of the CARDIoGRAM consortium is provided as Supplemental Information
| | - Panos Deloukas
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton UK
| | | | - Elin Grundberg
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton UK
- Department of Twin Research & Genetic Epidemiology, King’s College London, UK
| | | | - Martin Hrabé de Angelis
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Experimental Genetics, Life and Food Science Center Weihenstephan, Technische Universität München, Freising-Weihenstephan, Germany
| | - Gabi Kastenmüller
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Anna Köttgen
- Renal Division, University Hospital Freiburg, Germany
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Massimo Mangino
- Department of Twin Research & Genetic Epidemiology, King’s College London, UK
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Hans-Werner Mewes
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Genome-oriented Bioinformatics, Life and Food Science Center Weihenstephan, Technische Universität München, Freising-Weihenstephan, Germany
| | | | - Cornelia Prehn
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Johannes Raffler
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Faculty of Biology, Ludwig-Maximilians-Universität, Planegg-Martinsried, Germany
| | - Janina S. Ried
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton UK
| | - Werner Römisch-Margl
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, and Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, UK
| | - Kerrin S. Small
- Department of Twin Research & Genetic Epidemiology, King’s College London, UK
| | - H.-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Grosshadern, Munich, Germany
| | - Guangju Zhai
- Department of Twin Research & Genetic Epidemiology, King’s College London, UK
| | - Thomas Illig
- Unit for Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Tim D. Spector
- Department of Twin Research & Genetic Epidemiology, King’s College London, UK
| | - Jerzy Adamski
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nicole Soranzo
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton UK
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
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Sato T, Toyoshima A, Hiraki T, Ohta Y, Katayama K, Arai T, Tazaki H. Effects of metformin on plasma concentrations of glucose and mannose, G6Pase and PEPCK activity, and mRNA expression in the liver and kidney of chickens. Br Poult Sci 2011; 52:273-7. [DOI: 10.1080/00071668.2011.560595] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- T. Sato
- a School of Veterinary Medicine , Faculty of Veterinary Science
| | - A. Toyoshima
- a School of Veterinary Medicine , Faculty of Veterinary Science
| | - T. Hiraki
- a School of Veterinary Medicine , Faculty of Veterinary Science
| | - Y. Ohta
- b School of Animal Science, Faculty of Applied Life Science , Nippon Veterinary and Life Science University , 1-7-1 Kyonancho, Musashino , Tokyo 180-8602 , Japan
| | - K. Katayama
- a School of Veterinary Medicine , Faculty of Veterinary Science
| | - T. Arai
- a School of Veterinary Medicine , Faculty of Veterinary Science
| | - H. Tazaki
- a School of Veterinary Medicine , Faculty of Veterinary Science
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Sharma V, Freeze HH. Mannose efflux from the cells: a potential source of mannose in blood. J Biol Chem 2011; 286:10193-200. [PMID: 21273394 PMCID: PMC3060472 DOI: 10.1074/jbc.m110.194241] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2010] [Revised: 01/25/2011] [Indexed: 11/06/2022] Open
Abstract
All mammals have 50-100 μM mannose in their blood. However, the source of the dynamic pool of mannose in blood is unknown. Most of it is thought to be derived from glucose in the cells. We studied mannose uptake and release by various cell types. Interestingly, our results show that mannose taken up by the cells through transporters is handled differently from the mannose released within the cells due to glycan processing of protein-bound oligosaccharides. Although more than 95% of incoming mannose is catabolized, most of the mannose released by intracellular processing is expelled from the cells as free mannose predominantly via a nocodazole-sensitive sugar transporter. Under physiological conditions, incoming mannose is more accessible to hexokinase, whereas mannose released within the cells is protected from HK and therefore has a different fate. Our data also suggest that generation of free mannose due to the processing of glycoconjugates composed of glucose-derived mannose and its efflux from the cells can account for most of the mannose found in blood and its steady state maintenance.
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Affiliation(s)
- Vandana Sharma
- Sanford Children's Health Research Center, Sanford-Burnham Medical Research Institute, La Jolla, California 92037, USA
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20
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Miwa I, Taguchi T, Asano H, Murata T, Yorifuji T, Nagasaka H, Takatani T. Low level of fasting plasma mannose in a child with glycogen storage disease type 0 (liver glycogen synthase deficiency). Clin Chim Acta 2010; 411:998-9. [PMID: 20331987 DOI: 10.1016/j.cca.2010.03.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2010] [Revised: 03/16/2010] [Accepted: 03/16/2010] [Indexed: 11/29/2022]
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Freeze HH. Towards a therapy for phosphomannomutase 2 deficiency, the defect in CDG-Ia patients. BIOCHIMICA ET BIOPHYSICA ACTA 2009; 1792:835-40. [PMID: 19339218 PMCID: PMC2783247 DOI: 10.1016/j.bbadis.2009.01.004] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2008] [Revised: 01/08/2009] [Accepted: 01/15/2009] [Indexed: 11/22/2022]
Abstract
Phosphomannomutase (PMM2, Mannose-6-P--> Mannose-1-P) deficiency is the most frequent glycosylation disorder affecting the N-glycosylation pathway. There is no therapy for the hundreds of patients who suffer from this disorder. This review describes previous attempts at therapeutic interventions and introduces perspectives emerging from the drawing boards. Two approaches aim to increase Mannose-1-P: small membrane permeable molecules that increase the availability or/and metabolic flux of precursors into the impaired glycosylation pathway; and, phosphomannomutase enhancement and/or replacement therapy. Glycosylation-deficient cell and animal models are needed to determine which individual or combined approaches improve glycosylation and may be suitable for preclinical evaluation.
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Affiliation(s)
- Hudson H Freeze
- Sanford Children's Health Research Center, Burnham Institute for Medical Research, 10901 N. Torrey Pines Rd, La Jolla, CA 92037, USA.
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Wu SY, Wang GF, Liu ZQ, Rao JJ, Lü L, Xu W, Wu SG, Zhang JJ. Effect of geniposide, a hypoglycemic glucoside, on hepatic regulating enzymes in diabetic mice induced by a high-fat diet and streptozotocin. Acta Pharmacol Sin 2009; 30:202-8. [PMID: 19122671 PMCID: PMC4002460 DOI: 10.1038/aps.2008.17] [Citation(s) in RCA: 122] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2008] [Accepted: 11/27/2008] [Indexed: 12/20/2022] Open
Abstract
AIM Hepatic glycogen phosphorylase (GP) and glucose-6-phosphatase (G6Pase) play an important role in the control of blood glucose homeostasis and are proposed to be potential targets for anti-diabetic drugs. Geniposide is an iridoid glucoside extracted from Gardenia jasminoides Ellis fruits and has been reported to have a hypoglycemic effect. However, little is known about the biochemical mechanisms by which geniposide regulates hepatic glucose-metabolizing enzymes. The present study investigates whether the hypoglycemic effect of geniposide is mediated by GP or G6Pase. METHODS Type 2 diabetic mice, induced by a high-fat diet and streptozotocin injection, were treated with or without geniposide for 2 weeks. Blood glucose levels were monitored by a glucometer. Insulin concentrations were analyzed by the ELISA method. Total cholesterol (TC) and triglyceride (TG) levels were measured using Labassay kits. Activities of hepatic GP and G6Pase were measured by glucose-6-phosphate dehydrogenase-coupled reaction. Real-time RT-PCR and Western blotting were used to determine the mRNA and protein levels of both enzymes. RESULTS Geniposide (200 and 400 mg/kg) significantly decreased the blood glucose, insulin and TG levels in diabetic mice in a dose-dependent manner. This compound also decreased the expression of GP and G6Pase at mRNA and immunoreactive protein levels, as well as enzyme activity. CONCLUSION Geniposide is an effective hypoglycemic agent in diabetic mice. The hypoglycemic effect of this compound may be mediated, at least in part, by inhibiting the GP and G6Pase activities.
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Affiliation(s)
- Shao-yu Wu
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Guang-fa Wang
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Zhong-qiu Liu
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Jin-jun Rao
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Lin Lü
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Wei Xu
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Shu-guang Wu
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Jia-jie Zhang
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
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23
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Clinical significance of plasma mannose concentrations in healthy and diabetic dogs. Vet Res Commun 2008; 33:439-51. [DOI: 10.1007/s11259-008-9190-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2008] [Accepted: 11/11/2008] [Indexed: 11/25/2022]
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24
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Sato T, Soeda S, Ohta Y, Katayama K, Arai T, Tazaki H. Plasma glucose, mannose, and non-esterified fatty acid concentrations in layer-type chickens. Br Poult Sci 2008; 49:731-5. [DOI: 10.1080/00071660802454673] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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25
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Lehrman MA. Stimulation of N-Linked Glycosylation and Lipid-Linked Oligosaccharide Synthesis by Stress Responses in Metazoan Cells. Crit Rev Biochem Mol Biol 2008; 41:51-75. [PMID: 16595294 DOI: 10.1080/10409230500542575] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Endoplasmic reticulum (ER) stress responses comprising the unfolded protein response (UPR) are activated by conditions that disrupt folding and assembly of proteins inside the ER lumenal compartment. Conditions known to be proximal triggers of the UPR include saturation of chaperones with misfolded protein, redox imbalance, disruption of Ca2+ levels, interference with N-linked glycosylation, and failure to dispose of terminally misfolded proteins. Potentially, ER stress responses can reprogram cells to correct all of these problems and thereby restore ER function to normal. This article will review literature on stimulation of N-linked glycosylation by ER stress responses, focusing on metazoan systems. The mechanisms involved will be contrasted with those mediating stimulation of N-linked glycosylation by cytoplasmic stress responses. This information will interest readers who study the biological roles of stress responses, the functions of N-linked glycans, and potential strategies for treatment of genetic disorders of N-linked glycosylation.
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Affiliation(s)
- Mark A Lehrman
- Department of Pharmacology, UT-Southwestern Medical Center, Dallas, TX 75390-9041, USA.
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26
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Li X, Mizuno R, Ono N, Ohhashi T. Glucose and glucose transporters regulate lymphatic pump activity through activation of the mitochondrial ATP-sensitive K+ channel. J Physiol Sci 2008; 58:249-61. [PMID: 18597699 DOI: 10.2170/physiolsci.rp004608] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2008] [Accepted: 07/01/2008] [Indexed: 11/05/2022]
Abstract
We investigated the pivotal roles of glucose and its transporter in the regulation of mechanical activity of isolated rat thoracic ducts and then examined whether mitochondrial ATP-sensitive K(+) channels (mitoK(ATP)) are involved in those responses. In the absence of extracellular glucose, the thoracic ducts showed pump activity during 120 min. Extracellular glucose caused a dose-dependent increase in the frequency of pump activity and a constriction in the thoracic ducts. Pump activity of the thoracic ducts in 0 mm glucose was completely inhibited in the presence of chlorogenic acid (an inhibitor of glucose-6-phosphatase). Cytochalasin B, an inhibitor of facilitative glucose transporter (GLUT), or phlorizin, an inhibitor of sodium-dependent glucose cotransporter (SGLT), significantly reduced the frequency of pump activity and dilated the thoracic ducts. A decrease in the frequency of pump activity induced by 5-hydroxydecanoate (5-HD, a selective blocker of mitoK(ATP)) was completely reversed by ruthenium red (an inhibitor of Ca(2+) uniporter in mitochondria). Diazoxide (a selective opener of mitoK(ATP)) significantly increased the frequency of pump activity. Carbonyl cyanide 4-(trifluoromethoxy) phenylhydrazone (FCCP, a protonophore of mitochondrial proton pump action) significantly reduced the frequency of pump activity and dilated the thoracic ducts. Collectively, these findings suggest that glucose derived from intracellular glycogen and/or through GLUT/SGLT in lymphatic smooth muscles contributes to the regulation of the pump activity of isolated rat thoracic ducts, and that mitoK(ATP) in the cells may partially serve as a modulator of the mechanical functions associated with mitochondrial Ca(2+) uptake.
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Affiliation(s)
- Xiangjun Li
- Department of Dentistry & Oral Surgery, Shinshu University School of Medicine, Matsumoto, Japan
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27
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Sato T, Katayama K, Arai T, Sako T, Tazaki H. Simultaneous determination of serum mannose and glucose concentrations in dog serum using high performance liquid chromatography. Res Vet Sci 2008; 84:26-9. [PMID: 17475297 DOI: 10.1016/j.rvsc.2007.03.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2006] [Revised: 02/28/2007] [Accepted: 03/01/2007] [Indexed: 11/17/2022]
Abstract
Serum mannose and glucose concentrations in dogs before and after eating a meal were determined simultaneously with a recently established HPLC method combined with a UV and fluorescence detection system of p-aminobenzoic acid ethyl ester (ABEE)-derivatized monosaccharides. In this newly established HPLC method, detection limits were 0.09 micromol/L for mannose and 0.04 mmol/L for glucose. Linearity of peak areas vs. amounts of mannose and glucose in the range of 0.27-320 micromol/L and 0.13-64 mmol/L were observed, respectively. The value of the glucose content measured by the HPLC method was in good agreement with that of the commonly used enzymatic method (control). Serum glucose concentrations in dogs 90 min after the meal were almost the same as those before the meal, whereas serum mannose concentrations decreased significantly after the meal. This HPLC method may be useful for determination of monosaccharides in animal blood.
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Affiliation(s)
- T Sato
- Department of Veterinary Science, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino, Tokyo 180-8602, Japan
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28
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Urayama A, Grubb JH, Banks WA, Sly WS. Epinephrine enhances lysosomal enzyme delivery across the blood brain barrier by up-regulation of the mannose 6-phosphate receptor. Proc Natl Acad Sci U S A 2007; 104:12873-8. [PMID: 17646643 PMCID: PMC1937559 DOI: 10.1073/pnas.0705611104] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Delivering therapeutic levels of lysosomal enzymes across the blood-brain barrier (BBB) has been a pivotal issue in treating CNS storage diseases, including the mucopolysaccharidoses. An inherited deficiency of beta-glucuronidase (GUS) causes mucopolysaccharidosis type VII that is characterized by increased systemic and CNS storage of glycosaminoglycans. We previously showed that the neonate uses the mannose 6-phosphate (M6P) receptor to transport phosphorylated GUS (P-GUS) across the BBB and that this transporter is lost with maturation. Induction of expression of this BBB transporter would make enzyme replacement therapy in the adult possible. Here, we tested pharmacological manipulation with epinephrine to restore functional transport of P-GUS across the adult BBB. Epinephrine (40 nmol) coinjected i.v. with (131)I-P-GUS induced the transport across the BBB in 8-week-old mice. The brain influx rate of (131)I-P-GUS (0.29 mul/g per min) returned to the level seen in neonates. Capillary depletion showed that 49% of the (131)I-P-GUS in brain was in brain parenchyma. No increases of influx rate or the vascular space for (125)I-albumin, a vascular marker, was observed with epinephrine (40 nmol), showing that enhanced passage was not caused by disruption of the BBB. Brain uptake of (131)I-P-GUS was significantly inhibited by M6P in a dose-dependent manner, whereas epinephrine failed to increase brain uptake of nonphosphorylated GUS. Thus, the effect of epinephrine on the transport of (131)I-P-GUS was ligand specific. These results indicate that epinephrine restores the M6P receptor-mediated functional transport of (131)I-P-GUS across the BBB in adults to levels seen in the neonate.
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Affiliation(s)
- Akihiko Urayama
- *Geriatric Research Education and Clinical Center, Veterans Affairs Medical Center, St. Louis, MO 63106; and
- Department of Internal Medicine, Division of Geriatric Medicine, and
| | - Jeffrey H. Grubb
- Edward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104
| | - William A. Banks
- *Geriatric Research Education and Clinical Center, Veterans Affairs Medical Center, St. Louis, MO 63106; and
- Department of Internal Medicine, Division of Geriatric Medicine, and
- To whom correspondence may be addressed. E-mail: or
| | - William S. Sly
- Edward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104
- To whom correspondence may be addressed. E-mail: or
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