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Bertran L, Capellades J, Abelló S, Aguilar C, Auguet T, Richart C. Untargeted lipidomics analysis in women with morbid obesity and type 2 diabetes mellitus: A comprehensive study. PLoS One 2024; 19:e0303569. [PMID: 38743756 PMCID: PMC11093320 DOI: 10.1371/journal.pone.0303569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 04/26/2024] [Indexed: 05/16/2024] Open
Abstract
There is a phenotype of obese individuals termed metabolically healthy obese that present a reduced cardiometabolic risk. This phenotype offers a valuable model for investigating the mechanisms connecting obesity and metabolic alterations such as Type 2 Diabetes Mellitus (T2DM). Previously, in an untargeted metabolomics analysis in a cohort of morbidly obese women, we observed a different lipid metabolite pattern between metabolically healthy morbid obese individuals and those with associated T2DM. To validate these findings, we have performed a complementary study of lipidomics. In this study, we assessed a liquid chromatography coupled to a mass spectrometer untargeted lipidomic analysis on serum samples from 209 women, 73 normal-weight women (control group) and 136 morbid obese women. From those, 65 metabolically healthy morbid obese and 71 with associated T2DM. In this work, we find elevated levels of ceramides, sphingomyelins, diacyl and triacylglycerols, fatty acids, and phosphoethanolamines in morbid obese vs normal weight. Conversely, decreased levels of acylcarnitines, bile acids, lyso-phosphatidylcholines, phosphatidylcholines (PC), phosphatidylinositols, and phosphoethanolamine PE (O-38:4) were noted. Furthermore, comparing morbid obese women with T2DM vs metabolically healthy MO, a distinct lipid profile emerged, featuring increased levels of metabolites: deoxycholic acid, diacylglycerol DG (36:2), triacylglycerols, phosphatidylcholines, phosphoethanolamines, phosphatidylinositols, and lyso-phosphatidylinositol LPI (16:0). To conclude, analysing both comparatives, we observed decreased levels of deoxycholic acid, PC (34:3), and PE (O-38:4) in morbid obese women vs normal-weight. Conversely, we found elevated levels of these lipids in morbid obese women with T2DM vs metabolically healthy MO. These profiles of metabolites could be explored for the research as potential markers of metabolic risk of T2DM in morbid obese women.
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Affiliation(s)
- Laia Bertran
- Department of Medicine and Surgery, Study Group on Metabolic Diseases Associated with Insulin-Resistance (GEMMAIR), Rovira i Virgili University, Hospital Universitari de Tarragona Joan XXIII, IISPV, Tarragona, Spain
| | - Jordi Capellades
- Department of Electronic, Electric and Automatic Engineering, Higher Technical School of Engineering, Rovira i Virgili University, IISPV, Tarragona, Spain
| | - Sonia Abelló
- Scientific and Technical Service, Rovira i Virgili University, Tarragona, Spain
| | - Carmen Aguilar
- Department of Medicine and Surgery, Study Group on Metabolic Diseases Associated with Insulin-Resistance (GEMMAIR), Rovira i Virgili University, Hospital Universitari de Tarragona Joan XXIII, IISPV, Tarragona, Spain
| | - Teresa Auguet
- Department of Medicine and Surgery, Study Group on Metabolic Diseases Associated with Insulin-Resistance (GEMMAIR), Rovira i Virgili University, Hospital Universitari de Tarragona Joan XXIII, IISPV, Tarragona, Spain
| | - Cristóbal Richart
- Department of Medicine and Surgery, Study Group on Metabolic Diseases Associated with Insulin-Resistance (GEMMAIR), Rovira i Virgili University, Hospital Universitari de Tarragona Joan XXIII, IISPV, Tarragona, Spain
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Li S, Li W, Chang L, Wan J, Chen S, Zhang X, He Q, Liu M. Sex-specific association of serum dehydroepiandrosterone and its sulfate levels with osteoporosis in type 2 diabetes. J Bone Miner Metab 2024; 42:361-371. [PMID: 38769209 DOI: 10.1007/s00774-024-01511-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 04/04/2024] [Indexed: 05/22/2024]
Abstract
INTRODUCTION This study is to investigate the relation between serum dehydroepiandrosterone (DHEA) and its sulfate (DHEAS) levels and the risk of osteoporosis in patients with T2DM. MATERIALS AND METHODS This cross-sectional study involved 938 hospitalized patients with T2DM. Linear regression models were used to explore the relationship between DHEA and DHEAS and the BMD at different skeletal sites. Multinominal logistic regression models and the restricted cubic spline (RCS) were used to evaluate the associations of DHEA and DHEAS with the risks of osteopenia and/or osteoporosis. RESULTS In postmenopausal women with T2DM, after adjustment for confounders including testosterone and estradiol, DHEA showed a significant positive correlation with lumbar spine BMD (P = 0.013). Moreover, DHEAS exhibited significant positive correlations with BMD at three skeletal sites: including femoral neck, total hip, and lumbar spine (all P < 0.05). Low DHEA and DHEAS levels were associated with increased risk of osteopenia and/or osteoporosis (all P < 0.05) and the risk of osteoporosis gradually decreased with increasing DHEAS levels (P overall = 0.018, P-nonlinear = 0.559). However, DHEA and DHEAS levels in men over the age of 50 with T2DM were not associated with any of above outcomes. CONCLUSION In patients with T2DM, independent of testosterone and estradiol, higher DHEA and DHEAS levels are associated with higher BMD and lower risk of osteopenia/osteoporosis in postmenopausal women but not men over the age of 50.
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Affiliation(s)
- Shuo Li
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Wei Li
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Lina Chang
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Jieying Wan
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Shanshan Chen
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China
| | - Xinxin Zhang
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
| | - Qing He
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
| | - Ming Liu
- Department of Endocrinology and Metabolism, Department of Nephrology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
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Auguet T, Bertran L, Capellades J, Abelló S, Aguilar C, Sabench F, del Castillo D, Correig X, Yanes O, Richart C. LC/MS-Based Untargeted Metabolomics Analysis in Women with Morbid Obesity and Associated Type 2 Diabetes Mellitus. Int J Mol Sci 2023; 24:7761. [PMID: 37175468 PMCID: PMC10177925 DOI: 10.3390/ijms24097761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/17/2023] [Accepted: 04/18/2023] [Indexed: 05/15/2023] Open
Abstract
Obesity is a chronic and complex disease, with an increasing incidence worldwide that is associated with metabolic disorders such as type 2 diabetes mellitus (T2DM). Thus, it is important to determine the differences between metabolically healthy obese individuals and those with metabolic disorders. The aim of this study was to perform an untargeted metabolomics assay in women with morbid obesity (MO) compared to a normal weight group, and to differentiate the metabolome of these women with MO who present with T2DM. We carried out a liquid chromatography-mass spectrometry-based untargeted metabolomics assay using serum samples of 209 Caucasian women: 73 with normal weight and 136 with MO, of which 71 had T2DM. First, we found increased levels of choline and acylglycerols and lower levels of bile acids, steroids, ceramides, glycosphingolipids, lysophosphatidylcholines, and lysophosphatidylethanolamines in MO women than in the control group. Then, in MO women with T2DM, we found increased levels of glutamate, propionyl-carnitine, bile acids, ceramides, lysophosphatidylcholine 14:0, phosphatidylinositols and phosphoethanolamines, and lower levels of Phe-Ile/Leu. Thus, we found metabolites with opposite trends of concentration in the two metabolomic analyses. These metabolites could be considered possible new factors of study in the pathogenesis of MO and associated T2DM in women.
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Affiliation(s)
- Teresa Auguet
- Grup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), IISPV, 43005 Tarragona, Spain; (T.A.); (L.B.); (C.A.); (F.S.); (D.d.C.)
| | - Laia Bertran
- Grup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), IISPV, 43005 Tarragona, Spain; (T.A.); (L.B.); (C.A.); (F.S.); (D.d.C.)
| | - Jordi Capellades
- Department of Electronic Engineering, Universitat Rovira i Virgili (URV), IISPV, 43007 Tarragona, Spain; (J.C.); (X.C.); (O.Y.)
| | - Sonia Abelló
- Servei de Recursos Científics i Tècnics, Universitat Rovira i Virgili (URV), 43007 Tarragona, Spain;
| | - Carmen Aguilar
- Grup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), IISPV, 43005 Tarragona, Spain; (T.A.); (L.B.); (C.A.); (F.S.); (D.d.C.)
| | - Fàtima Sabench
- Grup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), IISPV, 43005 Tarragona, Spain; (T.A.); (L.B.); (C.A.); (F.S.); (D.d.C.)
- Unitat de Cirurgia, Facultad de Medicina i Ciències de la Salut, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili (URV), IISPV, 43204 Reus, Spain
| | - Daniel del Castillo
- Grup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), IISPV, 43005 Tarragona, Spain; (T.A.); (L.B.); (C.A.); (F.S.); (D.d.C.)
- Unitat de Cirurgia, Facultad de Medicina i Ciències de la Salut, Hospital Universitari Sant Joan de Reus, Universitat Rovira i Virgili (URV), IISPV, 43204 Reus, Spain
| | - Xavier Correig
- Department of Electronic Engineering, Universitat Rovira i Virgili (URV), IISPV, 43007 Tarragona, Spain; (J.C.); (X.C.); (O.Y.)
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 43204 Madrid, Spain
| | - Oscar Yanes
- Department of Electronic Engineering, Universitat Rovira i Virgili (URV), IISPV, 43007 Tarragona, Spain; (J.C.); (X.C.); (O.Y.)
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 43204 Madrid, Spain
| | - Cristóbal Richart
- Grup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), IISPV, 43005 Tarragona, Spain; (T.A.); (L.B.); (C.A.); (F.S.); (D.d.C.)
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Sanches JM, Zhao LN, Salehi A, Wollheim CB, Kaldis P. Pathophysiology of type 2 diabetes and the impact of altered metabolic interorgan crosstalk. FEBS J 2023; 290:620-648. [PMID: 34847289 DOI: 10.1111/febs.16306] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 10/14/2021] [Accepted: 11/29/2021] [Indexed: 02/06/2023]
Abstract
Diabetes is a complex and multifactorial disease that affects millions of people worldwide, reducing the quality of life significantly, and results in grave consequences for our health care system. In type 2 diabetes (T2D), the lack of β-cell compensatory mechanisms overcoming peripherally developed insulin resistance is a paramount factor leading to disturbed blood glucose levels and lipid metabolism. Impaired β-cell functions and insulin resistance have been studied extensively resulting in a good understanding of these pathways but much less is known about interorgan crosstalk, which we define as signaling between tissues by secreted factors. Besides hormones and organokines, dysregulated blood glucose and long-lasting hyperglycemia in T2D is associated with changes in metabolism with metabolites from different tissues contributing to the development of this disease. Recent data suggest that metabolites, such as lipids including free fatty acids and amino acids, play important roles in the interorgan crosstalk during the development of T2D. In general, metabolic remodeling affects physiological homeostasis and impacts the development of T2D. Hence, we highlight the importance of metabolic interorgan crosstalk in this review to gain enhanced knowledge of the pathophysiology of T2D, which may lead to new therapeutic approaches to treat this disease.
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Affiliation(s)
| | - Li Na Zhao
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Albert Salehi
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Claes B Wollheim
- Department of Clinical Sciences, Lund University, Malmö, Sweden.,Department of Cell Physiology and Metabolism, University of Geneva, Geneva, Switzerland
| | - Philipp Kaldis
- Department of Clinical Sciences, Lund University, Malmö, Sweden
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Despite similar clinical features metabolomics reveals distinct signatures in insulin resistant and progressively obese minipigs. J Physiol Biochem 2022. [DOI: 10.1007/s13105-022-00940-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Fayyazpour P, Alizadeh E, Hosseini V, Kalantary-Charvadeh A, Niafar M, Sadra V, Norouzi Z, Saebnazar A, Mehdizadeh A, Darabi M. Fatty acids of type 2 diabetic serum decrease the stemness properties of human adipose-derived mesenchymal stem cells. J Cell Biochem 2022; 123:1157-1170. [PMID: 35722966 DOI: 10.1002/jcb.30270] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 03/26/2022] [Accepted: 04/20/2022] [Indexed: 11/11/2022]
Abstract
In type 2 diabetes, dyslipidemia and increased serum free fatty acids (FFAs) exacerbate the development of the disease through a negative effect on insulin secretion. Adipose-derived mesenchymal stem cells (AdMSCs) play a key role in regenerative medicine, and these cells can potentially be applied as novel therapeutic resources in the treatment of diabetes. In this study, AdMSCs were treated with diabetic or nondiabetic serum FFAs isolated from women of menopausal age. Serum FFAs were analyzed using gas-liquid chromatography. The expression level of the stemness markers CD49e and CD90 and the Wnt signaling target genes Axin-2 and c-Myc were evaluated using real-time PCR. The proliferation rate and colony formation were also assessed using a BrdU assay and crystal violet staining, respectively. The level of glutathione was assessed using cell fluorescence staining. Compared to nondiabetic serum, diabetic serum contained a higher percentage of oleate (1.5-fold, p < 0.01). In comparison with nondiabetic FFAs, diabetic FFAs demonstrated decreasing effects on the expression of CD90 (-51%, p < 0.001) and c-Myc (-48%, p < 0.05), and proliferation rate (-35%, p < 0.001), colony formation capacity (-50%, p < 0.01), and GSH levels (-62%, p < 0.05). The negative effect of the FFAs of diabetic serum on the stemness characteristics may impair the regenerative capabilities of AdMSCs.
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Affiliation(s)
- Parisa Fayyazpour
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Department of Biochemistry and Clinical Laboratories, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Effat Alizadeh
- Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Vahid Hosseini
- Molecular Medicine Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ashkan Kalantary-Charvadeh
- Department of Clinical Biochemistry, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mitra Niafar
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Vahideh Sadra
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Zahra Norouzi
- Department of Biochemistry and Clinical Laboratories, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Aysan Saebnazar
- Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Amir Mehdizadeh
- Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Masoud Darabi
- Department of Biochemistry and Clinical Laboratories, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.,Department of Internal Medicine IV, Heidelberg University Hospital, Heidelberg, Germany
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Bennett G, Cussen L, O'Reilly MW. The role for long-term use of dehydroepiandrosterone in adrenal insufficiency. Curr Opin Endocrinol Diabetes Obes 2022; 29:284-293. [PMID: 35621180 DOI: 10.1097/med.0000000000000728] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
PURPOSE OF REVIEW Dehydroepiandrosterone (DHEA) is an androgen produced by the zona reticularis of the adrenal gland. Patients with adrenal insufficiency will have a deficiency of DHEA. Unlike glucocorticoid and mineralocorticoid replacement, DHEA supplementation is not considered essential for life and is therefore not routinely replaced in adrenal failure. DHEA deficiency is associated with morbidity, including adverse impacts on metabolic function, quality of life and sexuality in multiple studies. The role for replacement, however, remains unclear. RECENT FINDINGS The benefits of DHEA supplementation have been definitively demonstrated in a number of historical studies of patients with primary and secondary adrenal insufficiency. Beneficial impacts on quality of life, body composition, bone health and metabolic markers have been demonstrated. However, published data are inconsistent; controversies persist around the exact role of DHEA replacement and around which patient cohorts are most likely to benefit. There is also a paucity of recent randomized controlled trials in the medical literature to inform on optimal dose and duration of DHEA replacement in adrenal failure. SUMMARY Here, we review the evidence for DHEA supplementation in patients with adrenal insufficiency. We highlight knowledge gaps in the medical literature and areas that should be prioritized for future research endeavours.
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Affiliation(s)
| | - Leanne Cussen
- Department of Endocrinology, Beaumont Hospital
- Department of Medicine, Royal College of Surgeons in Ireland (RCSI) University of Medicine and Health Sciences, Dublin, Republic of Ireland
| | - Michael W O'Reilly
- Department of Endocrinology, Beaumont Hospital
- Department of Medicine, Royal College of Surgeons in Ireland (RCSI) University of Medicine and Health Sciences, Dublin, Republic of Ireland
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Ruan X, Wang Y, Zhou L, Zheng Q, Hao H, He D. Evaluation of Untargeted Metabolomic Strategy for the Discovery of Biomarker of Breast Cancer. Front Pharmacol 2022; 13:894099. [PMID: 35707402 PMCID: PMC9189413 DOI: 10.3389/fphar.2022.894099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 04/25/2022] [Indexed: 11/22/2022] Open
Abstract
Discovery of disease biomarker based on untargeted metabolomics is informative for pathological mechanism studies and facilitates disease early diagnosis. Numerous of metabolomic strategies emerge due to different sample properties or experimental purposes, thus, methodological evaluation before sample analysis is essential and necessary. In this study, sample preparation, data processing procedure and metabolite identification strategy were assessed aiming at the discovery of biomarker of breast cancer. First, metabolite extraction by different solvents, as well as the necessity of vacuum-dried and re-dissolution, was investigated. The extraction efficiency was assessed based on the number of eligible components (components with MS/MS data acquired), which was more reasonable for metabolite identification. In addition, a simplified data processing procedure was proposed involving the OPLS-DA, primary screening for eligible components, and secondary screening with constraints including VIP, fold change and p value. Such procedure ensured that only differential candidates were subjected to data interpretation, which greatly reduced the data volume for database search and improved analysis efficiency. Furthermore, metabolite identification and annotation confidence were enhanced by comprehensive consideration of mass and MS/MS errors, isotope similarity, fragmentation match, and biological source confirmation. On this basis, the optimized strategy was applied for the analysis of serum samples of breast cancer, according to which the discovery of differential metabolites highly encouraged the independent biomarkers/indicators used for disease diagnosis and chemotherapy evaluation clinically. Therefore, the optimized strategy simplified the process of differential metabolite exploration, which laid a foundation for biomarker discovery and studies of disease mechanism.
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Affiliation(s)
- Xujun Ruan
- Key Laboratory of Drug Metabolism and Pharmacokinetics, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China
| | - Yan Wang
- Department of Pharmaceutical Analysis, College of Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Lirong Zhou
- Department of Pharmaceutical Analysis, College of Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Qiuling Zheng
- Department of Pharmaceutical Analysis, College of Pharmacy, China Pharmaceutical University, Nanjing, China
- *Correspondence: Qiuling Zheng, ; Haiping Hao, ; Dandan He,
| | - Haiping Hao
- Key Laboratory of Drug Metabolism and Pharmacokinetics, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China
- *Correspondence: Qiuling Zheng, ; Haiping Hao, ; Dandan He,
| | - Dandan He
- Experimental Center of Molecular and Cellular Biology, The Public Laboratory Platform, China Pharmaceutical University, Nanjing, China
- *Correspondence: Qiuling Zheng, ; Haiping Hao, ; Dandan He,
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An Z, Sun Y, Shi C, Liu L. Metabonomic and transcriptomic analyses of Tripterygium glycosides tablet-induced hepatotoxicity in rats. Drug Chem Toxicol 2022:1-15. [PMID: 35603506 DOI: 10.1080/01480545.2022.2077360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
We aimed to explore novel biomarkers involved in alterations of metabolism and gene expression related to the hepatotoxic effects of Tripterygium glycosides tablet (TGT) in rats. Rats were randomly divided into groups based on oral administration of TGTs for 6 weeks: control, low-dose (9.5 mg/kg), and high-dose (18.9 mg/kg). Serum samples and total liver RNA were subjected to metabonomic and transcriptomic analyses. Thirteen metabolites were significantly up-regulated by liver injury induced by Tripterygium glycosides. Five potential biomarkers were more sensitive than Alanine aminotransferase (ALT) for accurate and timely prediction of hepatic damage. The four metabolic pathways most obviously regulated by hepatotoxicity were D-glutamine and D-glutamate metabolism, alanine, aspartate and glutamate metabolism, ether lipid metabolism, and tryptophan metabolism. Transcriptomics revealed significant differences in 1792 mRNAs and 400 long non-coding (lnc) RNAs. Dysregulated lncRNAs in the TGT-induced hepatotoxicity group were associated with genes involved in amino acid metabolism using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. Up-regulated expression of Ehhadh, Gpt, and Got1, and down-regulated expression of dopa decarboxylase (Ddc), Cyp1a2, Ido2, Aldh1b1, and asparagine synthetase (Asns) was validated by quantitative real-time PCR. This multiomics study has elucidated the relationship between amino metabolism and liver injury, revealing potential biomarkers.
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Affiliation(s)
- Zhuoling An
- Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yuan Sun
- Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Chen Shi
- Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Lihong Liu
- Pharmacy Department of Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
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Du S, Chen Y, Liu X, Zhang Z, Jiang Y, Zhou Y, Zhang H, Li Q, XuemeiWang, Wang Y, Feng R. Two untargeted metabolomics reveals yogurt-associated metabolic alterations in women with multiple metabolic disorders from a randomized controlled study. J Proteomics 2022; 252:104394. [PMID: 34666202 DOI: 10.1016/j.jprot.2021.104394] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 08/04/2021] [Accepted: 09/27/2021] [Indexed: 10/20/2022]
Abstract
The beneficial role of yogurt on metabolic profile has been widely reported. Yet, few studies have intended to describe the integrated metabolic alterations in response to yogurt. Yogurt and milk (220 g/d) were given to 48 and 44 obese women with metabolic syndrome and nonalcoholic fatty liver disease for 24 weeks in a randomized controlled trial (registered at http://www.chictr.org.cn as ChiCTR-IPR-15006801). Fasting serum samples were collected before and after intervention for global, untargeted metabolomics based on 1H nuclear magnetic resonance (NMR) and ultra-high-performance liquid chromatography coupled with electrospray ionization time-of-flight mass spectrometry (UPLC-Q-TOF-MS) (in positive and negative ion modes). Multivariable statistical analysis and pathway analysis were conducted. In both 1H NMR and UPLC-Q-TOF-MS metabolomics, no clustering was observed between the two groups at baseline. While, a clear clustering was shown after intervention, and the yogurt group had significantly different metabolic status from the milk. The metabolites that contributed mostly to class separation were identified, and involved into pathway analysis. Pathways on amino acids metabolism, fatty acid oxidation, cholesterol catabolism and choline metabolism significantly changed after yogurt intervention. The study revealed the integrated metabolic alterations in response to yogurt via two metabolomics approaches, suggesting the potential mechanisms of yogurt against metabolic disorders. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR-IPR-15006801. Registered 20 July 2015, http://www.chictr.org.cn/ ChiCTR-IPR-15006801. SIGNIFICANCE: Both review from prospective studies and our randomized clinical trial showed the protective role of yogurt against multiple metabolic disorders. However, they were focus on targeted glucose, lipid, and other metabolic indicators, which were only part of human metabolism, failing to show an integrated metabolic feature on yogurt. Therefore, two global, untargeted metabolomics were applied in our current randomized clinical trial, trying to uncover the significant metabolic alterations characterizing the effects of yogurt on obese women with multiple metabolic disorders, and to explore the potential biological mechanisms of yogurt. The finding will shed light on a more comprehensive picture of how yogurt affects host metabolism, and provide theoretical foundation for dietary prevention of chronic diseases.
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Affiliation(s)
- Shanshan Du
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 150081 Harbin, China; Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, 350122 Fuzhou, China
| | - Yang Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 150081 Harbin, China
| | - Xiaoxue Liu
- Songhuajiang Community Health Service Center, Prevention and Health Care Department, the Fourth Hospital of Harbin Medical University, 150080 Harbin, China
| | - Zhihong Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hainan Medical University, 570102 Haikou, China
| | - Yongshuai Jiang
- College of Bioinformatics Science and Technology, Harbin Medical University, 150081 Harbin, China; Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, 150081 Harbin, China
| | - Yang Zhou
- Imaging Center, Harbin Medical University Cancer Hospital, 150081 Harbin, China.
| | - Hongxia Zhang
- Imaging Center, Harbin Medical University Cancer Hospital, 150081 Harbin, China
| | - Qiyang Li
- Imaging Center, Harbin Medical University Cancer Hospital, 150081 Harbin, China
| | - XuemeiWang
- Shenzhen Bao'an District Central Hospital, Huangtian Community Health Service Center, 518126 Shenzhen, China
| | - Yan Wang
- Department of Nutrition, Taikang Ningbo Hospital, 315101 Ningbo, China
| | - Rennan Feng
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 150081 Harbin, China; Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, 150081 Harbin, China.
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11
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UHPLC-MS-Based Serum and Urine Metabolomics Reveals the Anti-Diabetic Mechanism of Ginsenoside Re in Type 2 Diabetic Rats. Molecules 2021; 26:molecules26216657. [PMID: 34771066 PMCID: PMC8588396 DOI: 10.3390/molecules26216657] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 11/17/2022] Open
Abstract
Panax ginseng was employed in the treatment of “Xiao-Ke” symptom, which nowadays known as diabetes mellitus, in traditional Chinese medicine for more than a thousand years. Ginsenoside Re was the major pharmacologic ingredient found abundantly in ginseng. However, the anti-diabetic of Ginsenoside Re and its underlying mechanism in metabolic level are still unclear. Serum and urine metabolomic method was carried out to investigate the anti-diabetic pharmacological effects and the potential mechanism of Ginsenoside Re on high-fat diet combined streptozotocin-induced type 2 diabetes mellitus (T2DM) rats based on ultra-high-performance liquid chromatography coupled with quadrupole exactive orbitrap mass spectrometry (UHPLC-Q-Exactive Orbitrap/MS). Serum and urine samples were collected from the control group (CON), T2DM group, metformin (MET) treatment group, and ginsenoside Re treatment group after intervention. The biochemical parameters of serum were firstly analyzed. The endogenous metabolites in serum and urine were detected by UHPLC-MS. The potential metabolites were screened by multivariate statistical analysis and identified by accurate mass measurement, MS/MS, and metabolite databases. The anti-diabetic-related metabolites were analyzed by KEGG metabolic pathway, and its potential mechanism was discussed. The treatment of ginsenoside Re significantly reduced the blood glucose and serum lipid level improved the oxidative stress caused by T2DM. Biochemical parameters (urea nitrogen, uric acid) showed that ginsenoside Re could improve renal function in T2DM rats. Respective 2 and 6 differential metabolites were found and identified in serum and urine of ginsenoside Re compared with T2DM group and enriched in KEGG pathway. Metabolic pathways analysis indicated that the differential metabolites related to T2DM were mainly involved in arachidonic acid metabolism, Vitamin B6, steroid hormone biosynthesis, and bile secretion metabolic pathways. This study verified the anti-diabetic and anti-oxidation effects of ginsenoside Re, elaborated that ginsenoside Re has a good regulation of the metabolic disorder in T2DM rats, which could promote insulin secretion, stimulated cannabinoid type 1 receptor (CB1), and CaMKK β to activate AMPK signaling pathway, inhibited insulin resistance, and improved blood glucose uptake and diabetic nephropathy, so as to play the role of anti-diabetic.
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12
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Sun G, Jiang F, Hu S, Cheng H, Qu L, Tao Y, Ma B. Metabolomic analysis reveals potential biomarkers and serum metabolomic profiling in spontaneous intracerebral hemorrhage patients using UPLC/quadrupole time-of-flight MS. Biomed Chromatogr 2021; 36:e5241. [PMID: 34505712 DOI: 10.1002/bmc.5241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 11/08/2022]
Abstract
Spontaneous intracerebral hemorrhage (ICH) accounts for 10-20% of all strokes and contributes to higher mortalities and severe disabilities. The aims of this study were, therefore, to characterize novel biomarkers, metabolic disruptions, and mechanisms involving ICH. A total 30 ICH patients and 30 controls were enrolled in the study, and their clinical characteristics were analyzed. Nontargeted metabolomic analysis was conducted using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF). Multivariate statistical analysis and receiver operating characteristic curve analysis were used for screening and evaluating the predictive ability of biomarkers. ICH patients showed significantly higher systolic blood pressure, diastolic blood pressure, blood glucose levels, white blood cell counts, neutrophil count, percentage of neutrophils and globulin and a lower albumin/globin ratio when compared with controls. In sum, 11 important metabolites were identified, which were associated with disruption of fatty acid oxidation and sphingolipid and phospholipid metabolism, as well as increased inflammation, oxidative stress, and vascular pathologies. Further multiple logistic regression analyses of these metabolites showed that l-carnitine and phosphatidylcholine (20:3/22:6) have potential as biomarkers of ICH, and the area under the curve, sensitivity, specificity were 0.974, 90%, and 93%, respectively. These findings provide insights into the pathogenesis, early prevention, and diagnosis of ICH.
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Affiliation(s)
- Guozhang Sun
- Department of Neurosurgery, Second Affiliated Hospital of Harbin Medical University, Harbin, China.,Department of Neurosurgery, Heilongjiang Provincial Hospital, Harbin, China
| | - Fengling Jiang
- Department of Internal Neurology, Harbin Xiangfang District People's Hospital, Harbin, China
| | - Shaoshan Hu
- Department of Neurosurgery, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Huakun Cheng
- Department of Neurosurgery, Heilongjiang Provincial Hospital, Harbin, China
| | - Lianlong Qu
- Department of Neurosurgery, Heilongjiang Provincial Hospital, Harbin, China
| | - Yu Tao
- Department of Neurosurgery, Heilongjiang Provincial Hospital, Harbin, China
| | - Bowen Ma
- Department of Neurosurgery, Heilongjiang Provincial Hospital, Harbin, China
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13
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Ning Z, Song Z, Wang C, Peng S, Wan X, Liu Z, Lu A. How Perturbated Metabolites in Diabetes Mellitus Affect the Pathogenesis of Hypertension? Front Physiol 2021; 12:705588. [PMID: 34483960 PMCID: PMC8416465 DOI: 10.3389/fphys.2021.705588] [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: 05/05/2021] [Accepted: 07/26/2021] [Indexed: 11/17/2022] Open
Abstract
The presence of hypertension (HTN) in type 2 diabetes mellitus (DM) is a common phenomenon in more than half of the diabetic patients. Since HTN constitutes a predictor of vascular complications and cardiovascular disease in type 2 DM patients, it is of significance to understand the molecular and cellular mechanisms of type 2 DM binding to HTN. This review attempts to understand the mechanism via the perspective of the metabolites. It reviewed the metabolic perturbations, the biological function of perturbated metabolites in two diseases, and the mechanism underlying metabolic perturbation that contributed to the connection of type 2 DM and HTN. DM-associated metabolic perturbations may be involved in the pathogenesis of HTN potentially in insulin, angiotensin II, sympathetic nervous system, and the energy reprogramming to address how perturbated metabolites in type 2 DM affect the pathogenesis of HTN. The recent integration of the metabolism field with microbiology and immunology may provide a wider perspective. Metabolism affects immune function and supports immune cell differentiation by the switch of energy. The diverse metabolites produced by bacteria modified the biological process in the inflammatory response of chronic metabolic diseases either. The rapidly evolving metabolomics has enabled to have a better understanding of the process of diseases, which is an important tool for providing some insight into the investigation of diseases mechanism. Metabolites served as direct modulators of biological processes were believed to assess the pathological mechanisms involved in diseases.
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Affiliation(s)
- Zhangchi Ning
- Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhiqian Song
- Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chun Wang
- Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shitao Peng
- Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaoying Wan
- Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhenli Liu
- Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Aiping Lu
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China
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14
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Chumachenko MS, Waseem TV, Fedorovich SV. Metabolomics and metabolites in ischemic stroke. Rev Neurosci 2021; 33:181-205. [PMID: 34213842 DOI: 10.1515/revneuro-2021-0048] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 06/09/2021] [Indexed: 12/27/2022]
Abstract
Stroke is a major reason for disability and the second highest cause of death in the world. When a patient is admitted to a hospital, it is necessary to identify the type of stroke, and the likelihood for development of a recurrent stroke, vascular dementia, and depression. These factors could be determined using different biomarkers. Metabolomics is a very promising strategy for identification of biomarkers. The advantage of metabolomics, in contrast to other analytical techniques, resides in providing low molecular weight metabolite profiles, rather than individual molecule profiles. Technically, this approach is based on mass spectrometry and nuclear magnetic resonance. Furthermore, variations in metabolite concentrations during brain ischemia could alter the principal neuronal functions. Different markers associated with ischemic stroke in the brain have been identified including those contributing to risk, acute onset, and severity of this pathology. In the brain, experimental studies using the ischemia/reperfusion model (IRI) have shown an impaired energy and amino acid metabolism and confirmed their principal roles. Literature data provide a good basis for identifying markers of ischemic stroke and hemorrhagic stroke and understanding metabolic mechanisms of these diseases. This opens an avenue for the successful use of identified markers along with metabolomics technologies to develop fast and reliable diagnostic tools for ischemic and hemorrhagic stroke.
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Affiliation(s)
- Maria S Chumachenko
- Department of Biochemistry, Faculty of Biology, Belarusian State University, Kurchatova St., 10, Minsk220030, Belarus
| | | | - Sergei V Fedorovich
- Department of Biochemistry, Faculty of Biology, Belarusian State University, Kurchatova St., 10, Minsk220030, Belarus
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15
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Serum Metabolites Responding in a Dose-Dependent Manner to the Intake of a High-Fat Meal in Normal Weight Healthy Men Are Associated with Obesity. Metabolites 2021; 11:metabo11060392. [PMID: 34208710 PMCID: PMC8233812 DOI: 10.3390/metabo11060392] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/11/2021] [Accepted: 06/15/2021] [Indexed: 12/28/2022] Open
Abstract
Although the composition of the human blood metabolome is influenced both by the health status of the organism and its dietary behavior, the interaction between these two factors has been poorly characterized. This study makes use of a previously published randomized controlled crossover acute intervention to investigate whether the blood metabolome of 15 healthy normal weight (NW) and 17 obese (OB) men having ingested three doses (500, 1000, 1500 kcal) of a high-fat (HF) meal can be used to identify metabolites differentiating these two groups. Among the 1024 features showing a postprandial response, measured between 0 h and 6 h, in the NW group, 135 were dose-dependent. Among these 135 features, 52 had fasting values that were significantly different between NW and OB men, and, strikingly, they were all significantly higher in OB men. A subset of the 52 features was identified as amino acids (e.g., branched-chain amino acids) and amino acid derivatives. As the fasting concentration of most of these metabolites has already been associated with metabolic dysfunction, we propose that challenging normal weight healthy subjects with increasing caloric doses of test meals might allow for the identification of new fasting markers associated with obesity.
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16
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Liu L, Zhao J, Zhang R, Wang X, Wang Y, Chen Y, Feng R. Serum untargeted metabolomics delineates the metabolic status in different subtypes of non-alcoholic fatty liver disease. J Pharm Biomed Anal 2021; 200:114058. [PMID: 33865049 DOI: 10.1016/j.jpba.2021.114058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 03/28/2021] [Accepted: 03/30/2021] [Indexed: 02/07/2023]
Abstract
AIMS The aim of this study was to identify novel serum metabolites associated with non-alcoholic fatty liver disease (NAFLD), and to explore the metabolic discrepancies between Lean-NAFLD and Obese-NAFLD. METHODS Serum samples from patients with NAFLD (n = 161) and healthy participants (n = 149) were collected, and metabolites were analyzed with UPLC-Q-TOF MS/MS. Subgroup analyses were performed to explore the metabolic differences among Lean-NAFLD, Obese-NAFLD and healthy controls RESULTS: A total of 24 differentially present metabolites were found between patients with NAFLD and healthy controls. Marked metabolic pathway differences were observed among the NAFLD subtypes, including in fatty acid and amino acid metabolism. Ultimately, five metabolites (prasterone, indoxylsulfuric acid, sebacic acid, arachidonic acid and pregnenolone sulfate) were used to establish a diagnostic model to distinguish patients with NAFLD regardless of Lean- or Obese-NAFLD type. CONCLUSIONS This study suggested that significant metabolic differences existed among subtypes of NAFLD, and our model might be useful to distinguish patients with NAFLD. These findings may lay a foundation for the detection and treatment of NAFLD subtypes.
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Affiliation(s)
- Liyan Liu
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Jinhui Zhao
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Runan Zhang
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Xuemei Wang
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Yan Wang
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Yang Chen
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Rennan Feng
- National Key Discipline Laboratory, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, PR China.
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17
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Xu XJ, Cai XE, Meng FC, Song TJ, Wang XX, Wei YZ, Zhai FJ, Long B, Wang J, You X, Zhang R. Comparison of the Metabolic Profiles in the Plasma and Urine Samples Between Autistic and Typically Developing Boys: A Preliminary Study. Front Psychiatry 2021; 12:657105. [PMID: 34149478 PMCID: PMC8211775 DOI: 10.3389/fpsyt.2021.657105] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 05/10/2021] [Indexed: 12/27/2022] Open
Abstract
Background: Autism spectrum disorder (ASD) is defined as a pervasive developmental disorder which is caused by genetic and environmental risk factors. Besides the core behavioral symptoms, accumulated results indicate children with ASD also share some metabolic abnormalities. Objectives: To analyze the comprehensive metabolic profiles in both of the first-morning urine and plasma samples collected from the same cohort of autistic boys. Methods: In this study, 30 autistic boys and 30 tightly matched healthy control (HC) boys (age range: 2.4~6.7 years) were recruited. First-morning urine and plasma samples were collected and the liquid chromatography-mass spectrometry (LC-MS) was applied to obtain the untargeted metabolic profiles. The acquired data were processed by multivariate analysis and the screened metabolites were grouped by metabolic pathway. Results: Different discriminating metabolites were found in plasma and urine samples. Notably, taurine and catechol levels were decreased in urine but increased in plasma in the same cohort of ASD children. Enriched pathway analysis revealed that perturbations in taurine and hypotaurine metabolism, phenylalanine metabolism, and arginine and proline metabolism could be found in both of the plasma and urine samples. Conclusion: These preliminary results suggest that a series of common metabolic perturbations exist in children with ASD, and confirmed the importance to have a comprehensive analysis of the metabolites in different biological samples to reveal the full picture of the complex metabolic patterns associated with ASD. Further targeted analyses are needed to validate these results in a larger cohort.
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Affiliation(s)
- Xin-Jie Xu
- Medical Science Research Center, Research Center for Translational Medicine, Department of Scientific Research, Peking Union Medical College Hospital, Beijing, China
| | - Xiao-E Cai
- Key Laboratory for Neuroscience, Ministry of Education of China, Neuroscience Research Institute, Beijing, China.,Key Laboratory for Neuroscience, National Committee of Health and Family Planning of China, Beijing, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, China.,Department of Rehabilitation Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Fan-Chao Meng
- Key Laboratory for Neuroscience, Ministry of Education of China, Neuroscience Research Institute, Beijing, China.,Key Laboratory for Neuroscience, National Committee of Health and Family Planning of China, Beijing, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, China.,Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Tian-Jia Song
- Key Laboratory for Neuroscience, Ministry of Education of China, Neuroscience Research Institute, Beijing, China.,Key Laboratory for Neuroscience, National Committee of Health and Family Planning of China, Beijing, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Beijing, China.,Peking University McGovern Institute, Peking University, Beijing, China
| | - Xiao-Xi Wang
- Key Laboratory for Neuroscience, Ministry of Education of China, Neuroscience Research Institute, Beijing, China.,Key Laboratory for Neuroscience, National Committee of Health and Family Planning of China, Beijing, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Yi-Zhen Wei
- Department of Education, Peking Union Medical College Hospital, Beijing, China
| | - Fu-Jun Zhai
- Key Laboratory for Neuroscience, Ministry of Education of China, Neuroscience Research Institute, Beijing, China.,Key Laboratory for Neuroscience, National Committee of Health and Family Planning of China, Beijing, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Bo Long
- Medical Science Research Center, Research Center for Translational Medicine, Department of Scientific Research, Peking Union Medical College Hospital, Beijing, China
| | - Jun Wang
- Department of Biomedicine and Biopharmacology, Hubei University of Technology, Wuhan, China
| | - Xin You
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rong Zhang
- Key Laboratory for Neuroscience, Ministry of Education of China, Neuroscience Research Institute, Beijing, China.,Key Laboratory for Neuroscience, National Committee of Health and Family Planning of China, Beijing, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, China
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18
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Meng F, Fan L, Sun L, Yu Q, Wang M, Sun C. Serum biomarkers of the calcium-deficient rats identified by metabolomics based on UPLC/Q-TOF MS/MS. Nutr Metab (Lond) 2020; 17:99. [PMID: 33292300 PMCID: PMC7708254 DOI: 10.1186/s12986-020-00507-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 09/28/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We previously identified the urinary biomarkers to diagnose calcium deficiency and nutritional rickets by ultra-performance liquid chromatography/quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF MS/MS). To find biomarkers of calcium deficiency and further confirm these biomarkers in serum, we performed serum metabolomics analysis of calcium-deficient rats. METHODS A calcium-deficient rat model was established with a low-calcium diet for 12 weeks. Serum metabolomics based UPLC/Q-TOF MS/MS and multivariate statistical analysis was performed to identify the alterations in metabolites associated with calcium deficiency in rats. RESULTS Bone mineral density, serum parathyroid hormone and alkaline phosphatase were significantly decreased in the low-calcium diet group (LCG) compared to the normal calcium diet group (NCG). Serum metabolic-profiling analysis could definitively distinguish between the LCG and NCG and identified 24 calcium-deficient biomarkers. Three metabolites (indoxyl sulfate, phosphate, and taurine) of the 24 biomarkers were found in our previous urinary metabolomics study of rats with a calcium deficiency and nutritional rickets. The areas under the curve (AUCs) of these three biomarkers were greater than 0.8, and the combination of any two biomarkers was higher than 0.95. CONCLUSION Dietary calcium deficiency induced the alterations of metabolites in the serum of rats, and the three identified biomarkers had relatively high diagnostic values for calcium deficiency in rats.
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Affiliation(s)
- Fanyu Meng
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Lina Fan
- Department of Nutrition, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China
| | - Lin Sun
- Department of Statistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Qingli Yu
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Maoqing Wang
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China.
| | - Changhao Sun
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China.
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19
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Aso S, Ogawa S, Nishimoto-Kusunose S, Satoh M, Ishige T, Nomura F, Higashi T. Derivatization-based quadruplex LC/ESI-MS/MS method for high throughput quantification of serum dehydroepiandrosterone sulfate. Biomed Chromatogr 2020; 35:e5027. [PMID: 33179271 DOI: 10.1002/bmc.5027] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 10/30/2020] [Accepted: 11/08/2020] [Indexed: 01/22/2023]
Abstract
The quantification of the circulating dehydroepiandrosterone sulfate (DHEAS) might be of diagnostic help for several diseases. For the DHEAS quantification, LC/ESI-MS/MS has the advantage of a high specificity compared with immunoassay, whereas LC/ESI-MS/MS has room to improve the analysis throughput. One of the promising solutions to enhance the analysis throughput is sample-multiplexing in the same injection, which can reduce the total LC/ESI-MS/MS run time. In this study, a quadruplex LC/ESI-MS/MS method was developed to quantify DHEAS in four different serum samples in a single run. After the four samples were separately deproteinized and derivatized with one of four Girard reagents (Girard reagent T, P and their isotopologs), the resulting samples were mixed, then injected into the LC/ESI-MS/MS. The applicability and advantage of the developed method were evaluated based on the analysis of nine batches of serum samples from healthy subjects (total 36 samples). The limit of quantitation was 0.050 μg/ml, which was sensitive enough for clinical laboratory use. The method was precise (intra- and inter-assay RSDs ≤ 3.6%), accurate (94.4-108.1%) and robust for the matrix effects. The analysis time was also shortened by about 60% for 36 samples by the introduced method compared with the conventional method.
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Affiliation(s)
- Saki Aso
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda-shi, Chiba, Japan
| | - Shoujiro Ogawa
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda-shi, Chiba, Japan.,Faculty of Pharmacy and Pharmaceutical Sciences, Fukuyama University, Fukuyama-shi, Hiroshima, Japan
| | | | - Mamoru Satoh
- Division of Clinical Mass Spectrometry, Chiba University Hospital, Chiba-shi, Chiba, Japan
| | - Takayuki Ishige
- Division of Laboratory Medicine, Chiba University Hospital, Chiba-shi, Chiba, Japan
| | - Fumio Nomura
- Division of Clinical Genetics, Chiba University Hospital, Chiba-shi, Chiba, Japan
| | - Tatsuya Higashi
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda-shi, Chiba, Japan
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20
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Metabolomics and correlation network analyses of core biomarkers in type 2 diabetes. Amino Acids 2020; 52:1307-1317. [PMID: 32930872 DOI: 10.1007/s00726-020-02891-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 09/07/2020] [Indexed: 12/13/2022]
Abstract
The identification of metabolic pathways and the core metabolites provide novel molecular targets for the prevention and treatment of diseases. Diabetes is often accompanied with multiple metabolic disorders including hyperglycemia and dyslipidemia. Analysis of the variances of plasma metabolites is critical for identifying potential therapeutic targets for diabetes. In the current study, non-diabetic subjects with normal glucose tolerance and diabetics (age 40-60 years; n = 42 per group) were selected and plasma samples were analyzed by GC-MS for various metabolites profiling followed by network analysis. Our study identified 24 differential metabolites that were mainly enriched in protein synthesis, lipid and amino acid metabolism. Furthermore, we applied the correlation network analysis on these differential metabolites in fatty acid and amino acid metabolism and identified glycerol, alanine and serine as the hub metabolites in diabetic group. In addition, we measured the activities of enzymes in gluconeogenesis and amino acid metabolism and found significant higher activities of fructose 1,6-bisphosphatase, pyruvate carboxylase, lactate dehydrogenase, aspartate aminotransferase and alanine aminotransferase in diabetic patients. In contrast, the enzyme activities of glycolysis pathway (e.g., hexokinase, phosphofructokinase and pyruvate kinase) and TCA cycle (e.g., isocitrate dehydrogenase, succinate dehydrogenase, fumarate hydratase and malate dehydrogenase) were reduced in diabetes. Together, our studies showed that the linoleic acid and amino acid metabolism were the most affected metabolic pathways and glycerol, alanine and serine could play critical role in diabetes. The integration of network analysis and metabolic data could provide novel molecular targets or biomarkers for diabetes.
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21
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Altered Metabolome of Lipids and Amino Acids Species: A Source of Early Signature Biomarkers of T2DM. J Clin Med 2020; 9:jcm9072257. [PMID: 32708684 PMCID: PMC7409008 DOI: 10.3390/jcm9072257] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 07/12/2020] [Accepted: 07/14/2020] [Indexed: 12/15/2022] Open
Abstract
Diabetes mellitus, a disease of modern civilization, is considered the major mainstay of mortalities around the globe. A great number of biochemical changes have been proposed to occur at metabolic levels between perturbed glucose, amino acid, and lipid metabolism to finally diagnoe diabetes mellitus. This window period, which varies from person to person, provides us with a unique opportunity for early detection, delaying, deferral and even prevention of diabetes. The early detection of hyperglycemia and dyslipidemia is based upon the detection and identification of biomarkers originating from perturbed glucose, amino acid, and lipid metabolism. The emerging “OMICS” technologies, such as metabolomics coupled with statistical and bioinformatics tools, proved to be quite useful to study changes in physiological and biochemical processes at the metabolic level prior to an eventual diagnosis of DM. Approximately 300–400 such metabolites have been reported in the literature and are considered as predicting or risk factor-reporting metabolic biomarkers for this metabolic disorder. Most of these metabolites belong to major classes of lipids, amino acids and glucose. Therefore, this review represents a snapshot of these perturbed plasma/serum/urinary metabolic biomarkers showing a significant correlation with the future onset of diabetes and providing a foundation for novel early diagnosis and monitoring the progress of metabolic syndrome at early symptomatic stages. As most metabolites also find their origin from gut microflora, metabolism and composition of gut microflora also vary between healthy and diabetic persons, so we also summarize the early changes in the gut microbiome which can be used for the early diagnosis of diabetes.
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22
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Liu L, Liu Z, Li Y, Sun C. Integration of metabolomics and proteomics to highlight altered neural development related pathways in the adult offspring after maternal folic acid supplement. Clin Nutr 2020; 40:476-487. [PMID: 32571678 DOI: 10.1016/j.clnu.2020.05.042] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/14/2020] [Accepted: 05/23/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND & AIMS Maternal folic acid (FA) supplement (FolS) programs the early development of an offspring. The onset of complex diseases at a later stage of life has been evidently linked with maternal FA ingestion. However, little is known regarding the underlying molecule fingerprints of the offspring. Here, we analyze the influence of maternal FolS on the metabolism of the adult offspring rats using the integrated metabolomics-proteomics. METHODS Twenty pregnant female rats were randomly assigned to a FA supplement (FolS group) or control group which were fed AIN93G diet with 2 or 5 mg/kg FA, respectively. The blood samples from the offspring at 0, 3 and 7 weeks after birth were collected. The brain samples were obtained from the offspring at 7 weeks after birth. Serum and brain metabolite profiles were performed by UPLC-MS/MS and the brain proteomics analysis was obtained using iTRAQ-based quantitative proteomics. RESULTS The metabolic change of the offspring for the maternal FA supplement is characterized by the phospholipids, fatty acid and amino acids, which are involved in linoleic acid, docosahexaenoic acid, glycerophosphocholine, lysophosphatidylcholine, tryptophan, glycine, arachidonic acid, γ-aminobutyric acid, and so on. Using iTRAQ-based quantitative proteomics analysis, 51 differential proteins in the brain are identified, which provides valuable insight into the underlying mechanisms of the offspring after the maternal FolS. These results demonstrate neural development related metabolites and proteins, such as docosahexaenoic acid, glycine, tryptophan, γ-aminobutyric acid, dopaminergic synapse related proteins including G protein, PPP1R1B and CAMK2G, are significantly altered, which suggests that the active neural conduction occurs in the offspring after maternal FA supplement. The behavioral testing demonstrates that the high level of memory is observed in rats with FA supplement. CONCLUSIONS We conceive that the alterations of metabolites and protein in the offspring are associated with the maternal FA supplement and these alterations are involved in the neural development, although such animal data are limited in their ability to mimic metabolic outcomes in humans.
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Affiliation(s)
- Liyan Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Zhipeng Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Ying Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China.
| | - Changhao Sun
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China.
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23
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Sorrow P, Maguire R, Murphy SK, Belcher SM, Hoyo C. Elevated metabolites of acetaminophen in cord blood of children with obesity. Pediatr Obes 2019; 14:10.1111/ijpo.12465. [PMID: 30253079 PMCID: PMC7390435 DOI: 10.1111/ijpo.12465] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 06/15/2018] [Accepted: 06/24/2018] [Indexed: 12/26/2022]
Abstract
BACKGROUND High-throughput metabolomics has been used cross-sectionally to evaluate differential metabolic profiles associated with human obesity. OBJECTIVES This study longitudinally assessed the cord blood metabolome to explore if metabolic signatures of obesity at age 3-5 are apparent at birth. METHODS In a nested case-control design, metabolomics analysis was performed on umbilical cord blood of 25 children who developed obesity by age 3-5 years, compared with 25 sex-matched non-obese children enrolled as part of an ongoing birth cohort. Logistic regression models were used to identify significant metabolites, adjusting for maternal pre-pregnancy obesity. RESULTS Children who had obesity by age 3-5 years had elevated levels of medium and long chain fatty acids including stearate, oleate and palmitate at birth. Children with obesity were also more likely to have elevated levels of acetaminophen metabolites at birth, specifically: 3-(N-acetyl-L-cystein-S-yl) acetaminophen, 2-hydroxyacetaminophen sulfate, 2-methoxyacetaminophen glucuronide and p-acetamidophenyl glucuronide. CONCLUSION Although the observed increases in lipids are consistent with previous metabolomic studies of obesity, this study is the first to report associations between acetaminophen metabolites and obesity in children; however, we lack mechanistic insights for this link. Larger human studies with longer follow-up and laboratory-controlled animal experiments are needed to clarify associations.
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Affiliation(s)
- Patricia Sorrow
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, U.S.A
| | - Rachel Maguire
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC 27695, U.S.A
| | - Susan K. Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, 27708
| | - Scott M. Belcher
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, U.S.A,Center for Human Health and the Environment, North Carolina State University, Raleigh, NC 27695, U.S.A
| | - Cathrine Hoyo
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, U.S.A,Center for Human Health and the Environment, North Carolina State University, Raleigh, NC 27695, U.S.A
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Chou J, Liu R, Yu J, Liu X, Zhao X, Li Y, Liu L, Sun C. Fasting serum α‑hydroxybutyrate and pyroglutamic acid as important metabolites for detecting isolated post-challenge diabetes based on organic acid profiles. J Chromatogr B Analyt Technol Biomed Life Sci 2018; 1100-1101:6-16. [PMID: 30267980 DOI: 10.1016/j.jchromb.2018.09.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 08/20/2018] [Accepted: 09/02/2018] [Indexed: 01/01/2023]
Abstract
The aim of this study was to develop a method to detect serum organic acid profiles in patients with isolated post-challenge diabetes (IPD) and to compare the metabolites between IPD patients, type 2 diabetes mellitus (T2DM) and healthy controls. We developed a gas chromatography-mass spectrometry method to detect serum organic acids and validated it using serum from 40 patients with IPD, 47 with newly diagnosed T2DM, and 48 healthy controls. We then analyzed the organic acid profiles by multivariate analysis to identify potential metabolites. This method allowed the fast and accurate measurement of 27 organic acids in serum. Serum organic acid profiles differed significantly among IPD patients, T2DM patients, and healthy controls. IPD samples had significantly higher concentrations of α‑hydroxybutyrate and β‑hydroxybutyrate (P < 0.05) and lower pyroglutamic acid concentration (P < 0.05) compared with the healthy controls, and the area under the curve for the combination of α‑hydroxybutyrate and pyroglutamic acid was 0.863 for the IPD group. These results provide useful information regarding the changes in organic acid metabolism associated with IPD. Measurement of these metabolites in fasting serum from IPD patients may provide useful diagnostic and/or prognostic biomarkers, as well as helpful markers for the therapeutic monitoring of IPD patients.
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Affiliation(s)
- Jing Chou
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Rui Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Jiaying Yu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Xiaowei Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Xinshu Zhao
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Ying Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
| | - Liyan Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China.
| | - Changhao Sun
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, PR China
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25
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Hu J, Gao J, Li J. Sex and age discrepancy of HbA1c and fetal hemoglobin determined by HPLC in a large Chinese Han population. J Diabetes 2018; 10:458-466. [PMID: 28256058 DOI: 10.1111/1753-0407.12544] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 02/13/2017] [Accepted: 02/23/2017] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND It is accepted that HbA1c is an effective indicator to evaluate glycemic control. Fetal hemoglobin (HbF) is seldom measured because traditional detection is inconvenient. In this regard, there may be an advantage in using HPLC autoanalysis of HbA1c as a surrogate method for HbF detection. The aim of the present study was to explore the distribution of HbA1c and HbF in a large Chinese Han population. METHODS In all, 70 553 blood samples were collected between January 2012 and June 2016. Study subjects were inpatients undergoing routine medical care and were divided into four groups based on age: Group A, 20-39 years; Group B, 40-59 years; Group C, 60-79 years; and Group D, ≥80 years. Blood HbA1c and HbF concentrations were measured by HPLC using a Tosho Bioscience (Tokyo, Japan) G8 analyzer. RESULTS There was a positive association between HbA1c and age, and a negative association between HbF and age. The concentration range of HbF was narrow and HbF concentrations were significantly higher in females than males, regardless of age (median 0.7% vs 0.6%, respectively; P < 0.0001). There was a low degree of correlation between HbF and HbA1c (r = 0.181, P < 0.0001). Although median HbA1c levels were higher in male than female subjects aged 20-59 years (5.5% vs 5.4%, respectively, in Group A; 5.9% vs 5.8%, respectively in Group B), in the 60-79 years group, HbA1c levels were lower in males than females (6.1% vs 6.2%, respectively; P < 0.0001). CONCLUSIONS The data suggest that sex and age should be considered in clinical interpretation of HbA1c.
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Affiliation(s)
- Jihong Hu
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Nanjing Medical University, Changzhou No. 2 People's Hospital, Changzhou, China
| | - Jun Gao
- Department of Orthopedics, Changzhou Traditional Chinese Medicine Hospital, Nanjing Traditional Chinese Medical University, Changzhou, China
| | - Jianbo Li
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Lewis KN, Rubinstein ND, Buffenstein R. A window into extreme longevity; the circulating metabolomic signature of the naked mole-rat, a mammal that shows negligible senescence. GeroScience 2018; 40:105-121. [PMID: 29679203 PMCID: PMC5964061 DOI: 10.1007/s11357-018-0014-2] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 03/15/2018] [Indexed: 12/23/2022] Open
Abstract
Mouse-sized naked mole-rats (Heterocephalus glaber), unlike other mammals, do not conform to Gompertzian laws of age-related mortality; adults show no age-related change in mortality risk. Moreover, we observe negligible hallmarks of aging with well-maintained physiological and molecular functions, commonly altered with age in other species. We questioned whether naked mole-rats, living an order of magnitude longer than laboratory mice, exhibit different plasma metabolite profiles, which could then highlight novel mechanisms or targets involved in disease and longevity. Using a comprehensive, unbiased metabolomics screen, we observe striking inter-species differences in amino acid, peptide, and lipid metabolites. Low circulating levels of specific amino acids, particularly those linked to the methionine pathway, resemble those observed during the fasting period at late torpor in hibernating ground squirrels and those seen in longer-lived methionine-restricted rats. These data also concur with metabolome reports on long-lived mutant mice, including the Ames dwarf mice and calorically restricted mice, as well as fruit flies, and even show similarities to circulating metabolite differences observed in young human adults when compared to older humans. During evolution, some of these beneficial nutrient/stress response pathways may have been positively selected in the naked mole-rat. These observations suggest that interventions that modify the aging metabolomic profile to a more youthful one may enable people to lead healthier and longer lives.
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Affiliation(s)
- Kaitlyn N Lewis
- Calico Life Sciences LLC, 1170 Veterans Blvd., South San Francisco, 94080, USA
| | - Nimrod D Rubinstein
- Calico Life Sciences LLC, 1170 Veterans Blvd., South San Francisco, 94080, USA
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27
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Lu Y, Wang Y, Zou L, Liang X, Ong CN, Tavintharan S, Yuan JM, Koh WP, Pan A. Serum Lipids in Association With Type 2 Diabetes Risk and Prevalence in a Chinese Population. J Clin Endocrinol Metab 2018; 103:671-680. [PMID: 29267865 PMCID: PMC5800830 DOI: 10.1210/jc.2017-02176] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 12/12/2017] [Indexed: 12/20/2022]
Abstract
CONTEXT We previously reported an association between lysophosphatidylinositol (LPI) (16:1) and risk for type 2 diabetes in a Chinese population using an untargeted analysis. OBJECTIVE To examine the overall associations of LPIs and their related metabolites, such as nonesterified fatty acids (NEFAs) and acylcarnitines, with incident and prevalent type 2 diabetes using a targeted approach. DESIGN AND SETTING A case-control study was nested within the Singapore Chinese Health Study. Cases and controls were individually matched by age, sex, and date of blood collection. We used both liquid and gas chromatography tandem mass spectrometry to measure serum metabolite levels at baseline, including 8 LPIs, 19 NEFAs, and 34 acylcarnitines. Conditional logistic regression models were used to estimate the associations between metabolites and diabetes risk. PARTICIPANTS Participants included 160 incident and 144 prevalent cases with type 2 diabetes and 304 controls. MAIN OUTCOME MEASURE Incident and prevalent type 2 diabetes. RESULTS On the basis of a false discovery rate <0.1, we identified 37 metabolites associated with prevalent type 2 diabetes, including 7 LPIs, 18 NEFAs, and 12 acylcarnitines, and 11 metabolites associated with incident type 2 diabetes, including 2 LPIs and 9 NEFAs. Two metabolites, LPI (16:1) and dihomo-γ-linolenic acid, showed independent associations with incident type 2 diabetes and significantly enhanced the risk prediction. CONCLUSIONS We found several LPIs and NEFAs that were associated with risk for type 2 diabetes and may improve our understanding of the pathogenesis. The findings suggest that lipid profiles could aid in diabetes risk assessment in Chinese populations.
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Affiliation(s)
- Yonghai Lu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Republic of Singapore
| | - Yeli Wang
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Republic of Singapore
| | - Li Zou
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Republic of Singapore
| | - Xu Liang
- NUS Environmental Research Institute, National University of Singapore, Singapore 117411, Republic of Singapore
| | - Choon Nam Ong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Republic of Singapore
- NUS Environmental Research Institute, National University of Singapore, Singapore 117411, Republic of Singapore
| | - Subramaniam Tavintharan
- Department of General Medicine, Diabetes Centre, Khoo Teck Puat Hospital, Singapore 768828, Republic of Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania 15261
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania 15261
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Republic of Singapore
- Duke-NUS Medical School Singapore, Singapore 169857, Republic of Singapore
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, People’s Republic of China
- Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, People’s Republic of China
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29
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Sun H, Zhao J, Zhong D, Li G. Potential serum biomarkers and metabonomic profiling of serum in ischemic stroke patients using UPLC/Q-TOF MS/MS. PLoS One 2017; 12:e0189009. [PMID: 29228037 PMCID: PMC5724857 DOI: 10.1371/journal.pone.0189009] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 11/16/2017] [Indexed: 12/04/2022] Open
Abstract
Background Stroke still has a high incidence with a tremendous public health burden and it is a leading cause of mortality and disability. However, biomarkers for early diagnosis are absent and the metabolic alterations associated with ischemic stroke are not clearly understood. The objectives of this case-control study are to identify serum biomarkers and explore the metabolic alterations of ischemic stroke. Methods Metabonomic analysis was performed using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry and multivariate statistical analysis was employed to study 60 patients with or without ischemic stroke (30 cases and 30 controls). Results Serum metabolic profiling identified a series of 12 metabolites with significant alterations, and the related metabolic pathways involved glycerophospholipid, sphingolipid, phospholipid, fat acid, acylcarnitine, heme, and purine metabolism. Subsequently, multiple logistic regression analyses of these metabolites showed uric acid, sphinganine and adrenoyl ethanolamide were potential biomarkers of ischemic stroke with an area under the receiver operating characteristic curve of 0.941. Conclusions These findings provide insights into the early diagnosis and potential pathophysiology of ischemic stroke.
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Affiliation(s)
- Hongxue Sun
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilong Jiang Province, PR China
| | - Jiaying Zhao
- Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Di Zhong
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilong Jiang Province, PR China
| | - Guozhong Li
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilong Jiang Province, PR China
- * E-mail:
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30
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Li X, Chung ACK, Li S, Wu L, Xu J, Yu J, Wong C, Cai Z. LC-MS-based metabolomics revealed SLC25A22 as an essential regulator of aspartate-derived amino acids and polyamines in KRAS-mutant colorectal cancer. Oncotarget 2017; 8:101333-101344. [PMID: 29254168 PMCID: PMC5731878 DOI: 10.18632/oncotarget.21093] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 09/04/2017] [Indexed: 01/06/2023] Open
Abstract
SLC25A22, which encodes the mitochondrial glutamate transporter, is overexpressed in colorectal cancer (CRC) and is essential for the proliferation of CRC cells harboring KRAS mutations. However, the role of SLC25A22 on metabolic regulation in KRAS-mutant CRC cells has not been comprehensively characterized. We performed non-targeted metabolomics, targeted metabolomics and isotope kinetic analysis of KRAS-mutant DLD1 cells with or without SLC25A22 knockdown using ultra-high-performance liquid chromatography (UHPLC) coupled to Orbitrap mass spectrometry (MS) or tandem MS (MS/MS). Global metabolomics analysis identified 35 altered metabolites, which were attributed to alanine, aspartate and glutamate metabolism, urea cycle and polyamine metabolism. Targeted metabolomics including 24 metabolites revealed that most tricarboxylic acid (TCA) cycle intermediates, aspartate-derived asparagine, alanine and ornithine-derived polyamines were strongly down-regulated in SLC25A22 knockdown cells. Moreover, targeted kinetic isotope analysis showed that most of the 13C-labeled ornithine-derived polyamines were significantly decreased in SLC25A22 knockdown cells and culture medium. Exogenous addition of polyamines could significantly promote cell proliferation in DLD1 cells, highlighting their potential role as oncogenic metabolites that function downstream of SLC25A22-mediated glutamine metabolism. Collectively, SLC25A22 acts as an essential metabolic regulator during CRC progression as it promotes the synthesis of aspartate-derived amino acids and polyamines in KRAS mutant CRC cells.
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Affiliation(s)
- Xiaona Li
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Arthur C K Chung
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Shangfu Li
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Lilan Wu
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China.,Guangdong Provincial Academy of Chinese Medical Sciences, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong, China
| | - Jiaying Xu
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Jun Yu
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Guangdong, China
| | - Chichun Wong
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, The Chinese University of Hong Kong, Guangdong, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
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Du S, Sun S, Liu L, Zhang Q, Guo F, Li C, Feng R, Sun C. Effects of Histidine Supplementation on Global Serum and Urine 1H NMR-based Metabolomics and Serum Amino Acid Profiles in Obese Women from a Randomized Controlled Study. J Proteome Res 2017; 16:2221-2230. [DOI: 10.1021/acs.jproteome.7b00030] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Shanshan Du
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Shuhong Sun
- Department
of Psychiatry, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Nangang District, Harbin 150001, Heilongjiang Province, China
| | - Liyan Liu
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Qiao Zhang
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Fuchuan Guo
- Department
of Nutrition and Food Safety, School of Public Health, Fujian Medical University, No. 1 Xuefu North Road, University
Town, Fuzhou 350122, Fujian Province, China
| | - Chunlong Li
- Department
of General Surgery, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Rennan Feng
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
| | - Changhao Sun
- Department
of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, Heilongjiang
Province, China
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32
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Rong S, Li Y, Guan Y, Zhu L, Zhou Q, Gao M, Pan H, Zou L, Chang D. Long-chain unsaturated fatty acids as possible important metabolites for primary angle-closure glaucoma based on targeted metabolomic analysis. Biomed Chromatogr 2017; 31. [PMID: 28214354 DOI: 10.1002/bmc.3963] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 01/19/2017] [Accepted: 02/15/2017] [Indexed: 11/09/2022]
Affiliation(s)
- Shengzhong Rong
- School of Public Health; Mudanjiang Medical University; Mudanjiang China
| | - Yang Li
- Hongqi Hospital; Mudanjiang Medical University; Mudanjiang China
| | - Yue Guan
- Hongqi Hospital; Mudanjiang Medical University; Mudanjiang China
| | - Lili Zhu
- Department of Foreign Language; Mudanjiang Medical University; Mudanjiang China
| | - Qiang Zhou
- School of Public Health; Harbin Medical University; Harbin China
| | - Mucong Gao
- School of Public Health; Harbin Medical University; Harbin China
| | - Hongzhi Pan
- School of Public Health; Harbin Medical University; Harbin China
| | - Lina Zou
- Hongqi Hospital; Mudanjiang Medical University; Mudanjiang China
| | - Dong Chang
- Department of Clinical Laboratory, Shanghai Pudong Hospital; Fudan University Pudong Medical Center; Shanghai China
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33
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Guo F, Zi T, Liu L, Feng R, Sun C. A 1H-NMR based metabolomics study of the intervention effect of mangiferin on hyperlipidemia hamsters induced by a high-fat diet. Food Funct 2017; 8:2455-2464. [DOI: 10.1039/c7fo00081b] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Mangiferin ameliorated hyperlipidemia by intervening in some major metabolic pathways.
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Affiliation(s)
- Fuchuan Guo
- Department of Nutrition and Food Safety
- School of Public Health
- Fujian Medical University
- FuZhou
- China
| | - Tianqi Zi
- Department of Nutrition and Food Hygiene
- Public Health College
- Harbin Medical University
- Harbin
- China
| | - Liyan Liu
- Department of Nutrition and Food Hygiene
- Public Health College
- Harbin Medical University
- Harbin
- China
| | - Rennan Feng
- Department of Nutrition and Food Hygiene
- Public Health College
- Harbin Medical University
- Harbin
- China
| | - Changhao Sun
- Department of Nutrition and Food Hygiene
- Public Health College
- Harbin Medical University
- Harbin
- China
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34
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Lu Y, Wang Y, Ong CN, Subramaniam T, Choi HW, Yuan JM, Koh WP, Pan A. Metabolic signatures and risk of type 2 diabetes in a Chinese population: an untargeted metabolomics study using both LC-MS and GC-MS. Diabetologia 2016; 59:2349-2359. [PMID: 27514531 DOI: 10.1007/s00125-016-4069-2] [Citation(s) in RCA: 107] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 07/13/2016] [Indexed: 12/31/2022]
Abstract
AIMS/HYPOTHESIS Metabolomics has provided new insight into diabetes risk assessment. In this study we characterised the human serum metabolic profiles of participants in the Singapore Chinese Health Study cohort to identify metabolic signatures associated with an increased risk of type 2 diabetes. METHODS In this nested case-control study, baseline serum metabolite profiles were measured using LC-MS and GC-MS during a 6-year follow-up of 197 individuals with type 2 diabetes but without a history of cardiovascular disease or cancer before diabetes diagnosis, and 197 healthy controls matched by age, sex and date of blood collection. RESULTS A total of 51 differential metabolites were identified between cases and controls. Of these, 35 were significantly associated with diabetes risk in the multivariate analysis after false discovery rate adjustment, such as increased branched-chain amino acids (leucine, isoleucine and valine), non-esterified fatty acids (palmitic acid, stearic acid, oleic acid and linoleic acid) and lysophosphatidylinositol (LPI) species (16:1, 18:1, 18:2, 20:3, 20:4 and 22:6). A combination of six metabolites including proline, glycerol, aminomalonic acid, LPI (16:1), 3-carboxy-4-methyl-5-propyl-2-furanpropionic acid and urea showed the potential to predict type 2 diabetes in at-risk individuals with high baseline HbA1c levels (≥6.5% [47.5 mmol/mol]) with an AUC of 0.935. Combined lysophosphatidylglycerol (LPG) (12:0) and LPI (16:1) also showed the potential to predict type 2 diabetes in individuals with normal baseline HbA1c levels (<6.5% [47.5 mmol/mol]; AUC = 0.781). CONCLUSIONS/INTERPRETATION Our findings show that branched-chain amino acids and NEFA are potent predictors of diabetes development in Chinese adults. Our results also indicate the potential of lysophospholipids for predicting diabetes.
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Affiliation(s)
- Yonghai Lu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Yeli Wang
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Choon-Nam Ong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
- NUS Environmental Research Institute, National University of Singapore, Singapore, Republic of Singapore
| | - Tavintharan Subramaniam
- Department of General Medicine, Diabetes Centre, Khoo Teck Puat Hospital, Singapore, Republic of Singapore
| | - Hyung Won Choi
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore.
- Office of Clinical Sciences, Duke-NUS Medical School, 8 College Road Level 4, Singapore, 169857, Republic of Singapore.
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, People's Republic of China.
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
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35
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Dietrich S, Floegel A, Troll M, Kühn T, Rathmann W, Peters A, Sookthai D, von Bergen M, Kaaks R, Adamski J, Prehn C, Boeing H, Schulze MB, Illig T, Pischon T, Knüppel S, Wang-Sattler R, Drogan D. Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis. Int J Epidemiol 2016; 45:1406-1420. [PMID: 27591264 DOI: 10.1093/ije/dyw145] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The application of metabolomics in prospective cohort studies is statistically challenging. Given the importance of appropriate statistical methods for selection of disease-associated metabolites in highly correlated complex data, we combined random survival forest (RSF) with an automated backward elimination procedure that addresses such issues. METHODS Our RSF approach was illustrated with data from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study, with concentrations of 127 serum metabolites as exposure variables and time to development of type 2 diabetes mellitus (T2D) as outcome variable. Out of this data set, Cox regression with a stepwise selection method was recently published. Replication of methodical comparison (RSF and Cox regression) was conducted in two independent cohorts. Finally, the R-code for implementing the metabolite selection procedure into the RSF-syntax is provided. RESULTS The application of the RSF approach in EPIC-Potsdam resulted in the identification of 16 incident T2D-associated metabolites which slightly improved prediction of T2D when used in addition to traditional T2D risk factors and also when used together with classical biomarkers. The identified metabolites partly agreed with previous findings using Cox regression, though RSF selected a higher number of highly correlated metabolites. CONCLUSIONS The RSF method appeared to be a promising approach for identification of disease-associated variables in complex data with time to event as outcome. The demonstrated RSF approach provides comparable findings as the generally used Cox regression, but also addresses the problem of multicollinearity and is suitable for high-dimensional data.
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Affiliation(s)
- Stefan Dietrich
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Anna Floegel
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Martina Troll
- Research Unit of Molecular Epidemiology.,Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, Leibniz Center for Diabetes Research at Heinrich Heine University, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Anette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA and
| | - Disorn Sookthai
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Martin von Bergen
- Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research (UFZ), Institute of Biochemistry, Faculty of Biosciences, Pharmacy and Psychology, University of Leipzig, Leipzig, Germany and Department of Chemistry and Bioscience, University of Aalborg, Aalborg East, Denmark
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jerzy Adamski
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, München-Neuherberg, Germany.,Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany
| | - Cornelia Prehn
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, München-Neuherberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Matthias B Schulze
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Department of Molecular Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Thomas Illig
- Research Unit of Molecular Epidemiology.,Hannover Unified Biobank, and Institute for Human Genetics, Hannover, Germany
| | - Tobias Pischon
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany.,Molecular Epidemiology Group, Max Delbruck Center for Molecular Medicine (MDC) Berlin-Buch, Berlin, Germany
| | - Sven Knüppel
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Rui Wang-Sattler
- Research Unit of Molecular Epidemiology.,Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Dagmar Drogan
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
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Hu J, Zhang A, Yang S, Wang Y, Goswami R, Zhou H, Zhang Y, Wang Z, Li R, Cheng Q, Zhen Q, Li Q. Combined effects of sex hormone-binding globulin and sex hormones on risk of incident type 2 diabetes. J Diabetes 2016; 8:508-15. [PMID: 26119029 DOI: 10.1111/1753-0407.12322] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Revised: 05/31/2015] [Accepted: 06/16/2015] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The aim of the present study was to investigate the combined effects of sex hormone-binding globulin (SHBG) and sex hormones on the risk of type 2 diabetes (T2D). METHODS A nested case-control study of Chinese participants in the Environment, Inflammation and Metabolic Diseases Study (2008-13) was performed. Of the 3510 subjects free of diabetes, 145 men and 87 women developed diabetes over the 5-year follow-up. One age- and sex-matched control subject was selected for each case. Baseline concentrations of SHBG, estradiol, testosterone, and dehydroepiandrosterone sulfate (DHEA-S) were divided into tertiles and subjects were classified as having low, intermediate and high levels accordingly. RESULTS After multivariate adjustment, men with low SHBG levels had a fourfold greater risk of T2D than men with high SHBG levels. Conversely, men with high estradiol levels had a fourfold greater risk of T2D than men with low estradiol levels. Men with low SHBG + high estradiol had a 20-fold greater risk of T2D than men with high SHBG + low estradiol (odds ratio [OR] 20.23; 95% confidence interval [CI] 4.62-51.33). These risk associations in men were not observed for testosterone or DHEA-S, alone or in combination with SHBG. Compared with low SHBG, the risk of T2D decreased with increasing SHBG tertile (OR 0.92 [95% CI 0.21-4.53], 0.14 [95% CI 0.10-0.74]; Ptrend = 0.043) after multivariate adjustment in women. Estradiol, testosterone, and DHEA-S levels showed no association with T2D in women. CONCLUSION Low SHBG in conjunction with high estradiol has an additive detrimental effect on the risk of T2D in men.
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Affiliation(s)
- Jinbo Hu
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Aiping Zhang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shumin Yang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yue Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Richa Goswami
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huang Zhou
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yi Zhang
- Hospital of Chongqing University, Chongqing, China
| | - Zhihong Wang
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Rong Li
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qingfeng Cheng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qianna Zhen
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qifu Li
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Brunius C, Shi L, Landberg R. Metabolomics for Improved Understanding and Prediction of Cardiometabolic Diseases—Recent Findings from Human Studies. Curr Nutr Rep 2015. [DOI: 10.1007/s13668-015-0144-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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38
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Park S, Sadanala KC, Kim EK. A Metabolomic Approach to Understanding the Metabolic Link between Obesity and Diabetes. Mol Cells 2015; 38:587-96. [PMID: 26072981 PMCID: PMC4507023 DOI: 10.14348/molcells.2015.0126] [Citation(s) in RCA: 112] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Revised: 05/22/2015] [Accepted: 05/26/2015] [Indexed: 12/19/2022] Open
Abstract
Obesity and diabetes arise from an intricate interplay between both genetic and environmental factors. It is well recognized that obesity plays an important role in the development of insulin resistance and diabetes. Yet, the exact mechanism of the connection between obesity and diabetes is still not completely understood. Metabolomics is an analytical approach that aims to detect and quantify small metabolites. Recently, there has been an increased interest in the application of metabolomics to the identification of disease biomarkers, with a number of well-known biomarkers identified. Metabolomics is a potent approach to unravel the intricate relationships between metabolism, obesity and progression to diabetes and, at the same time, has potential as a clinical tool for risk evaluation and monitoring of disease. Moreover, metabolomics applications have revealed alterations in the levels of metabolites related to obesity-associated diabetes. This review focuses on the part that metabolomics has played in elucidating the roles of metabolites in the regulation of systemic metabolism relevant to obesity and diabetes. It also explains the possible metabolic relation and association between the two diseases. The metabolites with altered profiles in individual disorders and those that are specifically and similarly altered in both disorders are classified, categorized and summarized.
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Affiliation(s)
- Seokjae Park
- Department of Brain & Cognitive Sciences, Daegu Gyeongbuk Institute of Science & Technology, Daegu 711-873,
Korea
- Neurometabolomics Research Center, Daegu Gyeongbuk Institute of Science & Technology, Daegu 711-873,
Korea
| | - Krishna Chaitanya Sadanala
- Neurometabolomics Research Center, Daegu Gyeongbuk Institute of Science & Technology, Daegu 711-873,
Korea
| | - Eun-Kyoung Kim
- Department of Brain & Cognitive Sciences, Daegu Gyeongbuk Institute of Science & Technology, Daegu 711-873,
Korea
- Neurometabolomics Research Center, Daegu Gyeongbuk Institute of Science & Technology, Daegu 711-873,
Korea
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39
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Serum metabolomics study of polycystic ovary syndrome based on UPLC-QTOF-MS coupled with a pattern recognition approach. Anal Bioanal Chem 2015; 407:4683-95. [DOI: 10.1007/s00216-015-8670-x] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2015] [Revised: 03/24/2015] [Accepted: 03/27/2015] [Indexed: 12/24/2022]
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40
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Na L, Wu X, Feng R, Li J, Han T, Lin L, Lan L, Yang C, Li Y, Sun C. The Harbin Cohort Study on Diet, Nutrition and Chronic Non-communicable Diseases: study design and baseline characteristics. PLoS One 2015; 10:e0122598. [PMID: 25856294 PMCID: PMC4391912 DOI: 10.1371/journal.pone.0122598] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2014] [Accepted: 02/11/2015] [Indexed: 01/19/2023] Open
Abstract
Diet and nutrition have been reported to be associated with many common chronic diseases and blood-based assessment would be vital to investigate the association and mechanism, however, blood-based prospective studies are limited. The Harbin Cohort Study on Diet, Nutrition and Chronic Non-communicable Diseases was set up in 2010. From 2010 to 2012, 9,734 participants completed the baseline survey, including demographic characteristics, dietary intake, lifestyles and physical condition, and anthropometrics. A re-survey on 490 randomly selected participants was done by using the same methods which were employed in the baseline survey. For all participants, the mean age was 50 years and 36% of them were men. Approximately 99.4 % of cohort members donated blood samples. The mean total energy intake was 2671.7 kcal/day in men and 2245.9 kcal/day in women, the mean body mass index was 25.7 kg/m2 in men and 24.6 kg/m2 in women, with 18.4% being obese (≥28 kg/m2), 12.7% being diabetic, and 29.5% being hypertensive. A good agreement was obtained for the physical measurements between the baseline survey and re-survey. The resources from the cohort and its fasting and postprandial blood samples collected both at baseline and in each follow-up will be valuable and powerful in investigating relationship between diet, nutrition and chronic diseases and discovering novel blood biomarkers and the metabolism of these biomarkers related to chronic diseases.
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Affiliation(s)
- Lixin Na
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Xiaoyan Wu
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Rennan Feng
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Jie Li
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Tianshu Han
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Liqun Lin
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Li Lan
- Harbin Center for Disease Control and Prevention, Harbin, P. R. China
| | - Chao Yang
- Harbin Center for Disease Control and Prevention, Harbin, P. R. China
| | - Ying Li
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
| | - Changhao Sun
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, P. R. China
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41
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Mannic T, Viguie J, Rossier MF. In vivo and in vitro evidences of dehydroepiandrosterone protective role on the cardiovascular system. Int J Endocrinol Metab 2015; 13:e24660. [PMID: 25926854 PMCID: PMC4389253 DOI: 10.5812/ijem.24660] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Revised: 12/05/2014] [Accepted: 02/14/2015] [Indexed: 02/06/2023] Open
Abstract
CONTEXT Dehydroepiandrosterone (DHEA) and its sulfate ester, Dehydroepiandrosterone Sulfate (DHEA-S) have been considered as putative anti-aging hormones for many years. Indeed, while DHEAS is the most abundant circulating hormone, its concentration is markedly decreased upon aging and early epidemiologic trials have revealed a strong inverse correlation between the hormone concentrations and the occurrence of several dysfunctions frequently encountered in the elderly. Naturally, hormonal supplementation has been rapidly suggested to prevent DHEA (S) deficiency and therefore, age-related development of these pathologies, using the same strategy as estrogen replacement therapy proposed in postmenopausal women. EVIDENCE ACQUISITION All references were searched using PubMed and the following strategy: our initial selection included all articles in English and we sorted them with the following keywords: "DHEA or DHEA-S" and "heart or vascular or endothelium or cardiovascular disease". The search was limited to neither the publication date nor specific journals. The final selection was made according to the relevance of the article content with the aims of the review. According to these criteria, fewer than 10% of the articles retrieved at the first step were discarded. RESULTS In this short review, we have focused on the cardiovascular action of DHEA. We started by analyzing evidences in favor of a strong inverse association between DHEA (S) levels and the cardiovascular risk as demonstrated in multiple observational epidemiologic studies for several decades. Then we discussed the different trials aimed at supplementing DHEA (S), both in animals and human, for preventing cardiovascular diseases and we analyzed the possible reasons for the discrepancy observed among the results of some studies. Finally, we presented putative molecular mechanisms of action for DHEA (S), demonstrated in vitro in different models of vascular and cardiac cells, highlighting the complexity of the involved signaling pathways. CONCLUSIONS The identification of the beneficial cardiovascular effects of DHEA (S) and a better understanding of the involved mechanisms should be helpful to develop new strategies or pharmacologic approaches for many lethal diseases in Western countries.
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Affiliation(s)
- Tiphaine Mannic
- Department of Human Protein Science, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Department of Genetics and laboratory Medicine, University Hospitals of Geneva, University of Geneva, Geneva, Switzerland
- Corresponding author: Tiphaine Mannic, Department of Genetics and laboratory Medicine, University Hospitals of Geneva, University of Geneva, Geneva, Switzerland. Tel: +41-223795775, Fax: +41-223795502, E-mail:
| | - Joanna Viguie
- Department of Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Michel Florian Rossier
- Department of Human Protein Science, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Service of Clinical Chemistry and Toxicology, Central Institute of the Hospital of Valais, Sion, Switzerland
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42
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Pi J, Wu X, Yang S, Zeng P, Feng Y. Rapid identification of erythrocyte phospholipids in Sprague-Dawley rats by ultra high performance liquid chromatography with electrospray ionization quadrupole time-of-flight tandem mass spectrometry. J Sep Sci 2015; 38:886-93. [PMID: 25564825 DOI: 10.1002/jssc.201401120] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2014] [Revised: 11/24/2014] [Accepted: 12/22/2014] [Indexed: 12/13/2022]
Abstract
A rapid, sensitive, and reliable approach for analyzing five kinds of erythrocyte phospholipids in Sprague-Dawley rats was provided by ultra high performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight tandem mass spectrometry with MassLynx(TM) MassFragment. Improving conventional high performance liquid chromatography techniques, ultra high performance liquid chromatography integrated with quadrupole time-of-flight tandem mass spectrometry offers high sensitivity and increased analytical speed by using columns packed with sub-2 μm particles (1.7 μm), which allows a faster separation to be achieved. Through this method, 83 phospholipids were tentatively characterized based on their mass spectra and tandem mass spectra, as well as by matching the in-house formula database within a mass error of 5 ppm, including 40 phosphatidylcholines, 24 phosphatidyl ethanolamines, three phosphatidylinositols, six phosphatidylserines, and ten sphingomyelins. Our present results proved that the established method could be used to qualitatively analyze complex erythrocyte phospholipids in Sprague-Dawley rats and provide a useful data base for pharmacology and phospholipidomics to seek potential biomarkers of disease prediction.
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Affiliation(s)
- Juanjuan Pi
- Central laboratory, Guangdong Pharmaceutical University, Guangzhou, P. R. China
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43
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Drogan D, Dunn WB, Lin W, Buijsse B, Schulze MB, Langenberg C, Brown M, Floegel A, Dietrich S, Rolandsson O, Wedge DC, Goodacre R, Forouhi NG, Sharp SJ, Spranger J, Wareham NJ, Boeing H. Untargeted metabolic profiling identifies altered serum metabolites of type 2 diabetes mellitus in a prospective, nested case control study. Clin Chem 2014; 61:487-97. [PMID: 25524438 DOI: 10.1373/clinchem.2014.228965] [Citation(s) in RCA: 98] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Application of metabolite profiling could expand the etiological knowledge of type 2 diabetes mellitus (T2D). However, few prospective studies apply broad untargeted metabolite profiling to reveal the comprehensive metabolic alterations preceding the onset of T2D. METHODS We applied untargeted metabolite profiling in serum samples obtained from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort comprising 300 individuals who developed T2D after a median follow-up time of 6 years and 300 matched controls. For that purpose, we used ultraperformance LC-MS with a protocol specifically designed for large-scale metabolomics studies with regard to robustness and repeatability. After multivariate classification to select metabolites with the strongest contribution to disease classification, we applied multivariable-adjusted conditional logistic regression to assess the association of these metabolites with T2D. RESULTS Among several alterations in lipid metabolism, there was an inverse association with T2D for metabolites chemically annotated as lysophosphatidylcholine(dm16:0) and phosphatidylcholine(O-20:0/O-20:0). Hexose sugars were positively associated with T2D, whereas higher concentrations of a sugar alcohol and a deoxyhexose sugar reduced the odds of diabetes by approximately 60% and 70%, respectively. Furthermore, there was suggestive evidence for a positive association of the circulating purine nucleotide isopentenyladenosine-5'-monophosphate with incident T2D. CONCLUSIONS This study constitutes one of the largest metabolite profiling approaches of T2D biomarkers in a prospective study population. The findings might help generate new hypotheses about diabetes etiology and develop further targeted studies of a smaller number of potentially important metabolites.
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Affiliation(s)
| | - Warwick B Dunn
- Centre for Endocrinology and Diabetes, Institute of Human Development, and Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals National Health Service Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK; School of Chemistry and Manchester Centre for Integrative Systems Biology, University of Manchester, Manchester, UK; School of Biosciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Wanchang Lin
- Centre for Endocrinology and Diabetes, Institute of Human Development, and Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals National Health Service Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK; School of Chemistry and Manchester Centre for Integrative Systems Biology, University of Manchester, Manchester, UK
| | | | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Marie Brown
- Centre for Endocrinology and Diabetes, Institute of Human Development, and Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals National Health Service Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK; School of Chemistry and Manchester Centre for Integrative Systems Biology, University of Manchester, Manchester, UK
| | | | | | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - David C Wedge
- School of Chemistry and Manchester Centre for Integrative Systems Biology, University of Manchester, Manchester, UK; Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Royston Goodacre
- School of Chemistry and Manchester Centre for Integrative Systems Biology, University of Manchester, Manchester, UK
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Joachim Spranger
- Department of Endocrinology, Diabetes and Nutrition, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Nick J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
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Yin P, Xu G. Current state-of-the-art of nontargeted metabolomics based on liquid chromatography-mass spectrometry with special emphasis in clinical applications. J Chromatogr A 2014; 1374:1-13. [PMID: 25444251 DOI: 10.1016/j.chroma.2014.11.050] [Citation(s) in RCA: 83] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Revised: 11/16/2014] [Accepted: 11/17/2014] [Indexed: 12/21/2022]
Abstract
Metabolomics, as a part of systems biology, has been widely applied in different fields of life science by studying the endogenous metabolites. The development and applications of liquid chromatography (LC) coupled with high resolution mass spectrometry (MS) greatly improve the achievable data quality in non-targeted metabolic profiling. However, there are still some emerging challenges to be covered in LC-MS based metabolomics. Here, recent approaches about sample collection and preparation, instrumental analysis, and data handling of LC-MS based metabolomics are summarized, especially in the analysis of clinical samples. Emphasis is put on the improvement of analytical techniques including the combination of different LC columns, isotope coded derivatization methods, pseudo-targeted LC-MS method, new data analysis algorithms and structural identification of important metabolites.
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Affiliation(s)
- Peiyuan Yin
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Guowang Xu
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
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Wang M, Yang X, Ren L, Li S, He X, Wu X, Liu T, Lin L, Li Y, Sun C. Biomarkers identified by urinary metabonomics for noninvasive diagnosis of nutritional rickets. J Proteome Res 2014; 13:4131-42. [PMID: 25051233 DOI: 10.1021/pr500517u] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Nutritional rickets is a worldwide public health problem; however, the current diagnostic methods retain shortcomings for accurate diagnosis of nutritional rickets. To identify urinary biomarkers associated with nutritional rickets and establish a noninvasive diagnosis method, urinary metabonomics analysis by ultra-performance liquid chromatography/quadrupole time-of-flight tandem mass spectrometry and multivariate statistical analysis were employed to investigate the metabolic alterations associated with nutritional rickets in 200 children with or without nutritional rickets. The pathophysiological changes and pathogenesis of nutritional rickets were illustrated by the identified biomarkers. By urinary metabolic profiling, 31 biomarkers of nutritional rickets were identified and five candidate biomarkers for clinical diagnosis were screened and identified by quantitative analysis and receiver operating curve analysis. Urinary levels of five candidate biomarkers were measured using mass spectrometry or commercial kits. In the validation step, the combination of phosphate and sebacic acid was able to give a noninvasive and accurate diagnostic with high sensitivity (94.0%) and specificity (71.2%). Furthermore, on the basis of the pathway analysis of biomarkers, our urinary metabonomics analysis gives new insight into the pathogenesis and pathophysiology of nutritional rickets.
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Affiliation(s)
- Maoqing Wang
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University , 157 Baojian Road, Nangang District, Harbin 150081, P. R. China
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Berkinbayev S, Rysuly M, Mussayev A, Blum K, Baitasova N, Mussagaliyeva A, Dzhunusbekova G, Makhatov B, Mussayev AA, Yeshmanova A, Lesbekova R, Marchuk Y, Azhibekova R, Oscar-Berman M, Kulmaganbetov M. Apolipoprotein Gene Polymorphisms (APOB, APOC111, APOE) in the Development of Coronary Heart Disease in Ethnic Groups of Kazakhstan. JOURNAL OF GENETIC SYNDROMES & GENE THERAPY 2014; 5:216. [PMID: 24772377 PMCID: PMC3998840 DOI: 10.4172/2157-7412.100021610.4172/2157-7412.1000216] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
BACKGROUND Previous Analysis of polymorphism of genes associated with the development of coronary heart disease (CHD) reveals that the frequency distribution of genotypes and alleles depends on the ethnic characteristics of the populations under study. Further impetus is derived from the well -established links between alcoholism (high prevalence in Kazakhstan region) and cardiovascular disorders. OBJECTIVES The purpose of this study was to examine a number of apolipoprotein gene polymorphisms and correlate these alleles with changes of lipid profile in CHD patients of Kazakh and Uyghur nationalities. METHODS Four-Hundred Forty Eight (448) males of Kazakh and Uyghur nationalities residing in Kazakhstan were evaluated and genotyped. The age range of these subjects was 30-55 years which included both afflicted and controls. Specifically, 161- Kazakhs suffered from myocardial infarction compared to 112 health controls; 80- Uyghurs suffered from CHD compared to 95 health controls. Blood lipid profiles were examined in the total cohort. Genotyping was performed by polymerase chain reaction (PCR) using oligonucleotide primers identifying; ApoB; ApoC111; and APOE gene polymorphisms. RESULTS Initial screening revealed a significant inter-ethnic difference on the frequency of alleles associated with both the ApoB and APOE genes. We found that the X1 ApoB gene polymorphism is overrepresented in healthy Kazakhs relative to Uyghurs [86.4% in Kazakhs vs. 69.4% in Uyghurs]. Moreover, we found that the E4APOE allele was also overrepresented in healthy Kazakhs relative to Uyghurs [16.8% in Kazakhs vs. 9.5% in Uyghurs]. There was a significant relationship of polymorphisms of APOE such as ApoB and ApoC 111 with the value of lipid indices in Kazakhs. Additionally, we found that the E4 allele of the APOE gene also correlated with the value of lipid indices in Kazakhs. Further evaluation showed that the X2 allele of the ApoB and the S2 allele of the ApoCIII gene significantly associated with the lipid indices of Uyghurs. CONCLUSION This systematic investigation confirms the association of various alleles of Apolipoprotein gene polymorphisms and contribution to aberrant lipid metabolism. Putatively at least in our population we are proposing that certain gene polymorphisms of Apolipoprotein genes such as ApoB; ApoC111; APOE ; X2 of ApoB; and S2 of ApoCIII differentially represented in either Kazakhs or Uyghurs are genetic markers of hypertriglyceridemia.
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Affiliation(s)
- S Berkinbayev
- Scientific Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan
| | - M Rysuly
- Scientific Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan
| | - A Mussayev
- Kazakh National Medical University named after S.D. Asfendiyarov, Almaty, Kazakhstan
| | - K Blum
- Department of Psychiatry and McKnight Brain Institute, University of Florida, College of Medicine, Gainesville, Fl., USA
- Dominion Diagnostics, LLC., North Kingstown, Rhode Island, USA
| | - N Baitasova
- Scientific Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan
| | - A Mussagaliyeva
- Scientific Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan
| | - G Dzhunusbekova
- Scientific Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan
| | - B Makhatov
- Department of Physiology KazNAU, Almaty, Kazakhstan
| | - AA Mussayev
- National Research Cardiac Surgery Center, Department of interventional cardiology, Astana, Kazakhstan
| | - A Yeshmanova
- Kazakh National Medical University named after S.D. Asfendiyarov, Almaty, Kazakhstan
| | - R Lesbekova
- Department of Physiology KazNAU, Almaty, Kazakhstan
| | - Y Marchuk
- Scientific Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan
| | - R Azhibekova
- Kazakh National Medical University named after S.D. Asfendiyarov, Almaty, Kazakhstan
| | - M Oscar-Berman
- Department of Psychiatry Anatomy and Neurology, Boston University School of Medicine and Veterans Administration System, Boston, Massachusetts, USA
| | - M Kulmaganbetov
- Kazakh National Medical University named after S.D. Asfendiyarov, Almaty, Kazakhstan
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Ma J, Yu J, Su X, Zhu C, Yang X, Sun H, Chen D, Wang Y, Cao H, Lu J. UPLC-MS-based serum metabonomics for identifying acute liver injury biomarkers in Chinese miniature pigs. Toxicol Lett 2014; 225:358-66. [PMID: 24451218 DOI: 10.1016/j.toxlet.2014.01.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Revised: 01/02/2014] [Accepted: 01/03/2014] [Indexed: 12/26/2022]
Abstract
Metabonomics has emerged as an important technology for exploring the underlying mechanisms of diseases and screening for biomarkers. In this investigation, to comprehensively assess metabolite changes in D-galactosamine (GalN)-induced liver injury in Chinese miniature pigs and to increase our understanding of physiological changes in normal and pathological states, we used ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) to analyze metabolites and identify biomarkers in serum. Blood samples were collected both from 18 h after GalN treatment group and control group pigs. We performed multivariate analyses on the metabolite profiles to identify potential biomarkers of acute liver injury, which were then confirmed by tandem MS. Based on "variable of importance in the project" (VIP) values and S-plots, four groups of biomarkers were identified--namely conjugated bile acids, lysophosphatidylcholines (LPCs), phosphatidylcholines (PCs) and fatty acid amides (FAAs)--that were present at significantly different levels in the control and GalN-induced groups. LPCs, PCs, and FAAs showed marked decreases in the GalN-treated group, whereas conjugated bile acids in the treated group showed considerable increases. Taken together, our results suggested that obvious metabolic disturbances occur during acute liver injury, which provided novel insights into the molecular mechanism(s) of D-galactosamine (GalN)-induced liver injury, and will facilitate future research and management of liver injury.
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Affiliation(s)
- Jing Ma
- Key Laboratory for Laboratory Medicine of Ministry of Education, Wenzhou Medical University, Wenzhou, Zhejiang, PR China.
| | - Jiong Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Medical College, Zhejiang University, 79 Qingchun Road, Institute for Cell-Based Drug Development for Zhejiang Province, Hangzhou City 310003, Zhejiang Province, PR China.
| | - Xiaoru Su
- Key Laboratory for Laboratory Medicine of Ministry of Education, Wenzhou Medical University, Wenzhou, Zhejiang, PR China.
| | - Chengxing Zhu
- Key Laboratory for Laboratory Medicine of Ministry of Education, Wenzhou Medical University, Wenzhou, Zhejiang, PR China.
| | - Xiao Yang
- Key Laboratory for Laboratory Medicine of Ministry of Education, Wenzhou Medical University, Wenzhou, Zhejiang, PR China.
| | - Huawang Sun
- Key Laboratory for Laboratory Medicine of Ministry of Education, Wenzhou Medical University, Wenzhou, Zhejiang, PR China.
| | - Deying Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Medical College, Zhejiang University, 79 Qingchun Road, Institute for Cell-Based Drug Development for Zhejiang Province, Hangzhou City 310003, Zhejiang Province, PR China.
| | - Ying Wang
- Key Laboratory for Laboratory Medicine of Ministry of Education, Wenzhou Medical University, Wenzhou, Zhejiang, PR China.
| | - Hongcui Cao
- Key Laboratory for Laboratory Medicine of Ministry of Education, Wenzhou Medical University, Wenzhou, Zhejiang, PR China; State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Medical College, Zhejiang University, 79 Qingchun Road, Institute for Cell-Based Drug Development for Zhejiang Province, Hangzhou City 310003, Zhejiang Province, PR China.
| | - Jianxin Lu
- Key Laboratory for Laboratory Medicine of Ministry of Education, Wenzhou Medical University, Wenzhou, Zhejiang, PR China.
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Abstract
Metabolomics is one of the newcomers among the "omics" techniques, perhaps also constituting the most relevant for the study of pathophysiological conditions. Metabolomics may indeed yield not only disease-specific biomarkers but also profound insights into the etiology and progression of a variety of human disorders. Various metabolomic approaches are currently available to study oncogenesis and tumor progression in vivo, in murine tumor models. Many of these models rely on the xenograft of human cancer cells into immunocompromised mice. Understanding how the metabolism of these cells evolves in vivo is critical to evaluate the actual pertinence of xenograft models to human pathology. Here, we discuss various tumor xenograft models and methods for their metabolomic profiling to provide a short guide to investigators interested in this field of research.
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Affiliation(s)
- Hiromi I Wettersten
- Division of Nephrology, Department of Internal Medicine, University of California, Davis, California, USA
| | - Sheila Ganti
- Department of Comparative Medicine, University of Washington, Seattle, Washington, USA
| | - Robert H Weiss
- Division of Nephrology, Department of Internal Medicine, University of California, Davis, California, USA; Medical Service, Sacramento VA Medical Center, Sacramento, California, USA.
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Lehmann R. Diabetes Subphenotypes and Metabolomics: The Key to Discovering Laboratory Markers for Personalized Medicine? Clin Chem 2013; 59:1294-6. [DOI: 10.1373/clinchem.2013.207993] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Rainer Lehmann
- Division of Clinical Chemistry and Pathobiochemistry, Department of Internal Medicine IV, University Hospital Tuebingen, Tuebingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tuebingen (Paul Langerhans Institute Tuebingen), Tuebingen, Germany
- German Center for Diabetes Research (DZD), Germany
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