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Ottosson F, Engström G, Orho‐Melander M, Melander O, Nilsson PM, Johansson M. Plasma Metabolome Predicts Aortic Stiffness and Future Risk of Coronary Artery Disease and Mortality After 23 Years of Follow-Up in the General Population. J Am Heart Assoc 2024; 13:e033442. [PMID: 38639368 PMCID: PMC11179945 DOI: 10.1161/jaha.123.033442] [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: 11/08/2023] [Accepted: 03/29/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Increased aortic stiffness (arteriosclerosis) is associated with early vascular aging independent of age and sex. The underlying mechanisms of early vascular aging remain largely unexplored in the general population. We aimed to investigate the plasma metabolomic profile in aortic stiffness (vascular aging) and associated risk of incident cardiovascular disease and mortality. METHODS AND RESULTS We included 6865 individuals from 2 Swedish population-based cohorts. Untargeted plasma metabolomics was performed by liquid-chromatography mass spectrometry. Aortic stiffness was assessed directly by carotid-femoral pulse wave velocity (PWV) and indirectly by augmentation index (AIx@75). A least absolute shrinkage and selection operator (LASSO) regression model was created on plasma metabolites in order to predict aortic stiffness. Associations between metabolite-predicted aortic stiffness and risk of new-onset cardiovascular disease, cardiovascular mortality, and all-cause mortality were calculated. Metabolite-predicted aortic stiffness (PWV and AIx@75) was positively associated particularly with acylcarnitines, dimethylguanidino valeric acid, glutamate, and cystine. The plasma metabolome predicted aortic stiffness (PWV and AIx@75) with good accuracy (R2=0.27 and R2=0.39, respectively). Metabolite-predicted aortic stiffness (PWV and AIx@75) was significantly correlated with age, sex, systolic blood pressure, body mass index, and low-density lipoprotein. After 23 years of follow-up, metabolite-predicted aortic stiffness (PWV and AIx@75) was significantly associated with increased risk of new-onset coronary artery disease, cardiovascular mortality, and all-cause mortality. CONCLUSIONS Aortic stiffness is associated particularly with altered metabolism of acylcarnitines, cystine, and dimethylguanidino valeric acid. These metabolic disturbances predict increased risk of new-onset coronary artery disease, cardiovascular mortality, and all-cause mortality after more than 23 years of follow-up in the general population.
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Affiliation(s)
- Filip Ottosson
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
- Section for Clinical Mass SpectrometryStatens Serum InstitutCopenhagenDenmark
| | - Gunnar Engström
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
| | | | - Olle Melander
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
- Department of Internal MedicineSkåne University HospitalMalmöSweden
| | - Peter M. Nilsson
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
- Department of Internal MedicineSkåne University HospitalMalmöSweden
| | - Madeleine Johansson
- Department of Clinical Sciences in MalmöLund UniversityMalmöSweden
- Department of CardiologySkåne University HospitalMalmöSweden
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Chen L, Wang J, Ren Y, Ma Y, Liu J, Jiang H, Liu C. Artesunate improves glucose and lipid metabolism in db/db mice by regulating the metabolic profile and the MAPK/PI3K/Akt signalling pathway. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2024; 126:155382. [PMID: 38382280 DOI: 10.1016/j.phymed.2024.155382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/23/2023] [Accepted: 01/20/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND Diabetes is a metabolic disorder characterized by chronic hyperglycaemia. Chronic metabolic abnormalities and long-term hyperglycaemia may result in a wide range of acute and chronic consequences. Previous studies have demonstrated that artesunate(ART) has antidiabetic, anti-inflammatory, antiatherosclerotic, and other beneficial effects, but the specific regulatory mechanism is not completely clear. AIM This study investigated the effects of ART on metabolic disorders in type 2 diabetes mellitus (T2DM) model db/db mice and explored the underlying mechanisms involved. METHODS C57BL/KsJ-db/db mice were used to identify the targets and molecular mechanism of ART. Metabolomic methods were used to evaluate the efficacy of ART in improving T2DM-related metabolic disorders. Network pharmacology and transcriptomic sequencing were used to analyse the targets and pathways of ART in T2DM. Finally, molecular biology experiments were performed to verify the key targets and pathways selected by network pharmacology and transcriptomic analyses. RESULTS After a 7-week ART intervention (160 mg/kg), the glucose and lipid metabolism levels of the db/db mice improved. Additionally, the oxidative stress indices, namely, the MDA and SOD levels, significantly improved (p<0.01). Linoleic acid and glycerophospholipid metabolism, amino acid metabolism, bile acid synthesis, and purine metabolism disorders in db/db mice were partially corrected after ART treatment. Network pharmacology analysis identified important targets of ART for the treatment of metabolic disorders in T2DM . These targets are involved in key signalling pathways, including the highest scores observed for the PI3K/Akt signalling pathway. Transcriptomic analysis revealed that ART could activate the MAPK signalling pathway and two key gene targets, HGK and GADD45. Immunoblotting revealed that ART increases p-PI3K, p-AKT, Glut2, and IRS1 protein expression and suppresses the phosphorylation of p38, ERK1/2, and JNK, returning HGK and GADD45 to their preartesunate levels. CONCLUSION Treatment of db/db mice with 160 mg/kg ART for 7 weeks significantly reduced fasting blood glucose and lipid levels. It also improved metabolic imbalances in amino acids, lipids, purines, and bile acids, thereby improving metabolic disorders. These effects are achieved by activating the PI3K/AKT pathway and inhibiting the MAPK pathway, thus demonstrating the efficacy of the drug.
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Affiliation(s)
- Lulu Chen
- Luoyang Key Laboratory of Clinical Multiomics and Translational Medicine, Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China; Department of Clinical Laboratory, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China
| | - Jialin Wang
- Luoyang Key Laboratory of Clinical Multiomics and Translational Medicine, Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China
| | - Yanshuang Ren
- Luoyang Key Laboratory of Clinical Multiomics and Translational Medicine, Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China
| | - Yujin Ma
- Luoyang Key Laboratory of Clinical Multiomics and Translational Medicine, Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China
| | - Jie Liu
- Luoyang Key Laboratory of Clinical Multiomics and Translational Medicine, Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China
| | - Hongwei Jiang
- Luoyang Key Laboratory of Clinical Multiomics and Translational Medicine, Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China.
| | - Chuanxin Liu
- Luoyang Key Laboratory of Clinical Multiomics and Translational Medicine, Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, China.
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Macan TP, Magenis ML, Damiani AP, Monteiro IDO, Silveira GDB, Zaccaron RP, Silveira PCL, Teixeira JPF, Gajski G, Andrade VMD. Brazil nut consumption reduces DNA damage in overweight type 2 diabetes mellitus patients. MUTATION RESEARCH. GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2024; 895:503739. [PMID: 38575248 DOI: 10.1016/j.mrgentox.2024.503739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/06/2024]
Abstract
Type 2 diabetes mellitus (T2D) is a metabolic disease, which occurs largely due to unhealthy lifestyle. As oxidative stress is believed to promote T2D, by inducing damage to lipids, proteins, and DNA, appropriate dietary interventions seem critical to prevent, manage, and even reverse this condition. Brazil nuts (Bertholletia excelsa, H.B.K.) are nature's richest source of selenium, a mineral that has shown several health benefits. Therefore, this study aims to assess the effects of selenium consumption, through Brazil nuts, on biochemical and oxidative stress parameters, and genomic instability in T2D patients. We recruited 133 patients with T2D, registered in the Integrated Clinics of the University of Southern Santa Catarina (Brazil). Participants consumed one Brazil nut a day for six months. Blood samples and exfoliated buccal cells were collected at the beginning and the end of the intervention. The glycemic profile, lipid profile, renal profile and hepatic profile, DNA damage and selenium content were evaluated. A total of 74 participants completed the intervention. Brazil nut consumption increased selenium and GSH levels, GPx, and CAT activity while DCF and nitrites levels decreased. Total thiols increased, and protein carbonyl and MDA levels decreased. Levels of baseline and oxidative DNA damage in T2D patients were significantly decreased, as well as the frequency of micronuclei and nuclear buds. The fasting glucose levels, HDL and LDL cholesterol, and GGT levels that increased significantly in patients with type 2 diabetes were significantly reduced with nut consumption. Our results show an increase in antioxidant activity, along with reductions of protein and lipid oxidation as well as DNA damage, suggesting that Brazil nut consumption could be an ally in reducing oxidative stress and modulating the genomic instability in T2D patients.
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Affiliation(s)
- Tamires Pavei Macan
- Laboratory of Translational Biomedicine, Postgraduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil; Environmental Health Department, Portuguese National Institute of Health Dr. Ricardo Jorge, Porto, Portugal
| | - Marina Lummertz Magenis
- Laboratory of Translational Biomedicine, Postgraduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil
| | - Adriani Paganini Damiani
- Laboratory of Translational Biomedicine, Postgraduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil
| | - Isadora de Oliveira Monteiro
- Laboratory of Translational Biomedicine, Postgraduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil
| | - Gustavo De Bem Silveira
- Laboratory of Experimental Physiopathology, Postgraduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil
| | - Rubya Pereira Zaccaron
- Laboratory of Experimental Physiopathology, Postgraduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil
| | - Paulo Cesar Lock Silveira
- Laboratory of Experimental Physiopathology, Postgraduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil
| | | | - Goran Gajski
- Mutagenesis Unit, Institute for Medical Research and Occupational Health, Zagreb, Croatia
| | - Vanessa Moraes de Andrade
- Laboratory of Translational Biomedicine, Postgraduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil.
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Zhang H, Leng S, Gao F, Kovalik JP, Tan RS, Wee HN, Chua KV, Ching J, Zhao X, Allen J, Wu Q, Leiner T, Zhong L, Koh AS. Longitudinal aortic strain, ventriculo-arterial coupling and fatty acid oxidation: novel insights into human cardiovascular aging. GeroScience 2024:10.1007/s11357-024-01127-x. [PMID: 38514519 DOI: 10.1007/s11357-024-01127-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/09/2024] [Indexed: 03/23/2024] Open
Abstract
Aging-induced aortic stiffness has been associated with altered fatty acid metabolism. We studied aortic stiffness using cardiac magnetic resonance (CMR)-assessed ventriculo-arterial coupling (VAC) and novel aortic (AO) global longitudinal strain (GLS) combined with targeted metabolomic profiling. Among community older adults without cardiovascular disease, VAC was calculated as aortic pulse wave velocity (PWV), a marker of arterial stiffness, divided by left ventricular (LV) GLS. AOGLS was the maximum absolute strain measured by tracking the phasic distance between brachiocephalic artery origin and aortic annulus. In 194 subjects (71 ± 8.6 years; 88 women), AOGLS (mean 5.6 ± 2.1%) was associated with PWV (R = -0.3644, p < 0.0001), LVGLS (R = 0.2756, p = 0.0001) and VAC (R = -0.3742, p <0.0001). Stiff aorta denoted by low AOGLS <4.26% (25th percentile) was associated with age (OR 1.13, 95% CI 1.04-1.24, p = 0.007), body mass index (OR 1.12, 95% CI 1.01-1.25, p = 0.03), heart rate (OR 1.04, 95% CI 1.01-1.06, p = 0.011) and metabolites of medium-chain fatty acid oxidation: C8 (OR 1.005, p = 0.026), C10 (OR 1.003, p = 0.036), C12 (OR 1.013, p = 0.028), C12:2-OH/C10:2-DC (OR 1.084, p = 0.032) and C16-OH (OR 0.82, p = 0.006). VAC was associated with changes in long-chain hydroxyl and dicarboxyl carnitines. Multivariable models that included acyl-carnitine metabolites, but not amino acids, significantly increased the discrimination over clinical risk factors for prediction of AOGLS (AUC [area-under-curve] 0.73 to 0.81, p = 0.037) and VAC (AUC 0.78 to 0.87, p = 0.0044). Low AO GLS and high VAC were associated with altered medium-chain and long-chain fatty acid oxidation, respectively, which may identify early metabolic perturbations in aging-associated aortic stiffening. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02791139.
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Affiliation(s)
- Hongzhou Zhang
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
- Department of Cardiology, the First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China
| | - Shuang Leng
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Fei Gao
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Jean-Paul Kovalik
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
- Singapore General Hospital, 31 Third Hospital Ave, Singapore, 168753, Singapore
| | - Ru-San Tan
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Hai Ning Wee
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Kee Voon Chua
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Jianhong Ching
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
- KK Women's and Children's Hospital, 100 Bukit Timah Rd, Singapore, 229899, Singapore
| | - Xiaodan Zhao
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore
| | - John Allen
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Qinghua Wu
- Department of Cardiology, the Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Nanchang, 330006, China
| | - Tim Leiner
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, USA
| | - Liang Zhong
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
| | - Angela S Koh
- National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
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Han P, Yuan C, Chen X, Hu Y, Hu X, Xu Z, Guo Q. Metabolic signatures and potential biomarkers of sarcopenia in suburb-dwelling older Chinese: based on untargeted GC-MS and LC-MS. Skelet Muscle 2024; 14:4. [PMID: 38454497 PMCID: PMC10921582 DOI: 10.1186/s13395-024-00337-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 02/07/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Untargeted metabolomics can be used to expand our understanding of the pathogenesis of sarcopenia. However, the metabolic signatures of sarcopenia patients have not been thoroughly investigated. Herein, we explored metabolites associated with sarcopenia by untargeted gas chromatography (GC)/liquid chromatography (LC)-mass spectrometry (MS) and identified possible diagnostic markers. METHODS Forty-eight elderly subjects with sarcopenia were age and sex matched with 48 elderly subjects without sarcopenia. We first used untargeted GC/LC-MS to analyze the plasma of these participants and then combined it with a large number of multivariate statistical analyses to analyze the data. Finally, based on a multidimensional analysis of the metabolites, the most critical metabolites were considered to be biomarkers of sarcopenia. RESULTS According to variable importance in the project (VIP > 1) and the p-value of t-test (p < 0.05), a total of 55 metabolites by GC-MS and 85 metabolites by LC-MS were identified between sarcopenia subjects and normal controls, and these were mostly lipids and lipid-like molecules. Among the top 20 metabolites, seven phosphatidylcholines, seven lysophosphatidylcholines (LysoPCs), phosphatidylinositol, sphingomyelin, palmitamide, L-2-amino-3-oxobutanoic acid, and palmitic acid were downregulated in the sarcopenia group; only ethylamine was upregulated. Among that, three metabolites of LysoPC(17:0), L-2-amino-3-oxobutanoic acid, and palmitic acid showed very good prediction capacity with AUCs of 0.887 (95% CI = 0.817-0.957), 0.836 (95% CI = 0.751-0.921), and 0.805 (95% CI = 0.717-0.893), respectively. CONCLUSIONS These findings show that metabonomic analysis has great potential to be applied to sarcopenia. The identified metabolites could be potential biomarkers and could be used to study sarcopenia pathomechanisms.
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Affiliation(s)
- Peipei Han
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- College of Rehabilitation Sciences, Pudong New Area, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Highway, Shanghai, 201318, China
- Jiangwan Hospital of Shanghai Hongkou District, Shanghai University of Medicine and Health Science Affiliated First Rehabilitation Hospital, Shanghai, China
| | - Chunhua Yuan
- Comprehensive Surgical Rehabilitation Ward, Shanghai Health Rehabilitation Hospital, Shanghai, China
| | - Xiaoyu Chen
- College of Rehabilitation Sciences, Pudong New Area, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Highway, Shanghai, 201318, China
| | - Yuanqing Hu
- College of Rehabilitation Sciences, Pudong New Area, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Highway, Shanghai, 201318, China
| | - Xiaodan Hu
- College of Rehabilitation Sciences, Pudong New Area, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Highway, Shanghai, 201318, China
| | - Zhangtao Xu
- College of Rehabilitation Sciences, Pudong New Area, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Highway, Shanghai, 201318, China
| | - Qi Guo
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
- College of Rehabilitation Sciences, Pudong New Area, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Highway, Shanghai, 201318, China.
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Delafiori J, Siciliano RF, de Oliveira AN, Nicolau JC, Sales GM, Dalçóquio TF, Busanello ENB, Eguti A, de Oliveira DN, Bertolin AJ, Dos Santos LA, Salsoso R, Marcondes-Braga FG, Durán N, Júnior MWP, Sabino EC, Reis LO, Fávaro WJ, Catharino RR. Comparing plasma and skin imprint metabolic profiles in COVID-19 diagnosis and severity assessment. J Mol Med (Berl) 2024; 102:183-195. [PMID: 38010437 DOI: 10.1007/s00109-023-02396-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/29/2023]
Abstract
As SARS-CoV-2 continues to produce new variants, the demand for diagnostics and a better understanding of COVID-19 remain key topics in healthcare. Skin manifestations have been widely reported in cases of COVID-19, but the mechanisms and markers of these symptoms are poorly described. In this cross-sectional study, 101 patients (64 COVID-19 positive patients and 37 controls) were enrolled between April and June 2020, during the first wave of COVID-19, in São Paulo, Brazil. Enrolled patients had skin imprints sampled non-invasively using silica plates; plasma samples were also collected. Samples were used for untargeted lipidomics/metabolomics through high-resolution mass spectrometry. We identified 558 molecular ions, with lipids comprising most of them. We found 245 plasma ions that were significant for COVID-19 diagnosis, compared to 61 from the skin imprints. Plasma samples outperformed skin imprints in distinguishing patients with COVID-19 from controls, with F1-scores of 91.9% and 84.3%, respectively. Skin imprints were excellent for assessing disease severity, exhibiting an F1-score of 93.5% when discriminating between patient hospitalization and home care statuses. Specifically, oleamide and linoleamide were the most discriminative biomarkers for identifying hospitalized patients through skin imprinting, and palmitic amides and N-acylethanolamine 18:0 were also identified as significant biomarkers. These observations underscore the importance of primary fatty acid amides and N-acylethanolamines in immunomodulatory processes and metabolic disorders. These findings confirm the potential utility of skin imprinting as a valuable non-invasive sampling method for COVID-19 screening; a method that may also be applied in the evaluation of other medical conditions. KEY MESSAGES: Skin imprints complement plasma in disease metabolomics. The annotated markers have a role in immunomodulation and metabolic diseases. Skin imprints outperformed plasma samples at assessing disease severity. Skin imprints have potential as non-invasive sampling strategy for COVID-19.
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Affiliation(s)
- Jeany Delafiori
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - Rinaldo Focaccia Siciliano
- Clinical Division of Infectious and Parasitic Diseases, University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Arnaldo, 455 - 01246-903 - Cerqueira César, São Paulo, SP, Brazil
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Arthur Noin de Oliveira
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - José Carlos Nicolau
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Geovana Manzan Sales
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - Talia Falcão Dalçóquio
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Estela Natacha Brandt Busanello
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - Adriana Eguti
- Sumaré State Hospital, Sumaré, Brazil - Av. da Amizade, 2400 - 13175-490 - Jardim Bela Vista, Sumaré, SP, Brazil
| | - Diogo Noin de Oliveira
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil
| | - Adriadne Justi Bertolin
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Luiz Augusto Dos Santos
- Paulínia Municipal Hospital, Paulínia, Brazil - Rua Miguel Vicente Cury, 100 - 13140-000 - Nova Paulínia, Paulínia, SP, Brazil
| | - Rocío Salsoso
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Fabiana G Marcondes-Braga
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil - Av. Dr. Enéas de Carvalho Aguiar, 44 - 05403-900 - Cerqueira César, São Paulo, SP, Brazil
| | - Nelson Durán
- Laboratory of Urogenital Carcinogenesis and Immunotherapy, University of Campinas, Campinas, Brazil - Av. Bertrand Russel, s/n - 13083-865 - Cidade Universitária Zeferino Vaz, Campina, SP, Brazil
| | | | - Ester Cerdeira Sabino
- Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil - Avenida Dr. Enéas Carvalho de Aguiar, 470 - 05403-000 - Cerqueira César, São Paulo, SP, Brazil
| | - Leonardo Oliveira Reis
- UroScience Laboratory, University of Campinas, Campinas, Brazil - Rua Tessália Vieira de Camargo, 126 - 13083-887 - Cidade, Universitária Zeferino Vaz, Campinas, SP, Brazil
- Center for Life Sciences, Pontifical Catholic University of Campinas, PUC-Campinas, Brazil - Av. John Boyd Dunlop, s/n - 13060-904 - Jd. Ipaussurama, Campinas, SP, Brazil
| | - Wagner José Fávaro
- Laboratory of Urogenital Carcinogenesis and Immunotherapy, University of Campinas, Campinas, Brazil - Av. Bertrand Russel, s/n - 13083-865 - Cidade Universitária Zeferino Vaz, Campina, SP, Brazil
| | - Rodrigo Ramos Catharino
- Innovare Biomarkers Laboratory, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil - Rua Cinco de Junho, 350 - 13083-970 - Cidade Universitária Zeferino Vaz, Campinas, SP, Brazil.
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Peng X, Du J, Wang Y. Metabolic signatures in post-myocardial infarction heart failure, including insights into prediction, intervention, and prognosis. Biomed Pharmacother 2024; 170:116079. [PMID: 38150879 DOI: 10.1016/j.biopha.2023.116079] [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: 09/19/2023] [Revised: 12/09/2023] [Accepted: 12/21/2023] [Indexed: 12/29/2023] Open
Abstract
Heart failure (HF) is a prevalent long-term complication of myocardial infarction (MI). The incidence of post-MI HF is high, and patients with the condition have a poor prognosis. Accurate identification of individuals at high risk for post-MI HF is crucial for implementation of a protective and ideally personalized strategy to prevent fatal events. Post-MI HF is characterized by adverse cardiac remodeling, which results from metabolic changes in response to long-term ischemia. Moreover, various risk factors, including genetics, diet, and obesity, can influence metabolic pathways in patients. This review focuses on the metabolic signatures of post-MI HF that could serve as non-invasive biomarkers for early identification in high-risk populations. We also explore how metabolism participates in the pathophysiology of post-MI HF. Furthermore, we discuss the potential of metabolites as novel targets for treatment of post-MI HF and as biomarkers for prognostic evaluation. It is expected to provide valuable suggestions for the clinical prevention and treatment of post-MI HF from a metabolic perspective.
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Affiliation(s)
- Xueyan Peng
- Beijing Collaborative Innovation Centre for Cardiovascular Disorders, No. 2 Anzhen Road, Chaoyang District, Beijing 100029, China; Key Laboratory of Remodeling-related Cardiovascular Diseases, Ministry of Education, Beijing 100029, China; Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China; Beijing Institute of Heart, Lung and Blood Vessel Disease, No. 2 Anzhen Road, Chaoyang District, Beijing 100029, China
| | - Jie Du
- Beijing Collaborative Innovation Centre for Cardiovascular Disorders, No. 2 Anzhen Road, Chaoyang District, Beijing 100029, China; Key Laboratory of Remodeling-related Cardiovascular Diseases, Ministry of Education, Beijing 100029, China; Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China; Beijing Institute of Heart, Lung and Blood Vessel Disease, No. 2 Anzhen Road, Chaoyang District, Beijing 100029, China.
| | - Yuan Wang
- Beijing Collaborative Innovation Centre for Cardiovascular Disorders, No. 2 Anzhen Road, Chaoyang District, Beijing 100029, China; Key Laboratory of Remodeling-related Cardiovascular Diseases, Ministry of Education, Beijing 100029, China; Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China; Beijing Institute of Heart, Lung and Blood Vessel Disease, No. 2 Anzhen Road, Chaoyang District, Beijing 100029, China.
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8
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Pataky MW, Kumar AP, Gaul DA, Moore SG, Dasari S, Robinson MM, Klaus KA, Kumar AA, Fernandez FM, Nair KS. Divergent Skeletal Muscle Metabolomic Signatures of Different Exercise Training Modes Independently Predict Cardiometabolic Risk Factors. Diabetes 2024; 73:23-37. [PMID: 37862464 PMCID: PMC10784655 DOI: 10.2337/db23-0142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 10/09/2023] [Indexed: 10/22/2023]
Abstract
We investigated the link between enhancement of SI (by hyperinsulinemic-euglycemic clamp) and muscle metabolites after 12 weeks of aerobic (high-intensity interval training [HIIT]), resistance training (RT), or combined training (CT) exercise in 52 lean healthy individuals. Muscle RNA sequencing revealed a significant association between SI after both HIIT and RT and the branched-chain amino acid (BCAA) metabolic pathway. Concurrently with increased expression and activity of branched-chain ketoacid dehydrogenase enzyme, many muscle amino metabolites, including BCAAs, glutamate, phenylalanine, aspartate, asparagine, methionine, and γ-aminobutyric acid, increased with HIIT, supporting the substantial impact of HIIT on amino acid metabolism. Short-chain C3 and C5 acylcarnitines were reduced in muscle with all three training modes, but unlike RT, both HIIT and CT increased tricarboxylic acid metabolites and cardiolipins, supporting greater mitochondrial activity with aerobic training. Conversely, RT and CT increased more plasma membrane phospholipids than HIIT, suggesting a resistance exercise effect on cellular membrane protection against environmental damage. Sex and age contributed modestly to the exercise-induced changes in metabolites and their association with cardiometabolic parameters. Integrated transcriptomic and metabolomic analyses suggest various clusters of genes and metabolites are involved in distinct effects of HIIT, RT, and CT. These distinct metabolic signatures of different exercise modes independently link each type of exercise training to improved SI and cardiometabolic risk. ARTICLE HIGHLIGHTS We aimed to understand the link between skeletal muscle metabolites and cardiometabolic health after exercise training. Although aerobic, resistance, and combined exercise training each enhance muscle insulin sensitivity as well as other cardiometabolic parameters, they disparately alter amino and citric acid metabolites as well as the lipidome, linking these metabolomic changes independently to the improvement of cardiometabolic risks with each exercise training mode. These findings reveal an important layer of the unique exercise mode-dependent changes in muscle metabolism, which may eventually lead to more informed exercise prescription for improving SI.
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Affiliation(s)
- Mark W. Pataky
- Division of Endocrinology and Metabolism, Mayo Clinic, Rochester, MN
| | | | - David A. Gaul
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA
| | - Samuel G. Moore
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA
| | - Surendra Dasari
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Matthew M. Robinson
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR
| | | | - A. Aneesh Kumar
- Division of Endocrinology and Metabolism, Mayo Clinic, Rochester, MN
| | - Facundo M. Fernandez
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA
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9
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Chang KH, Chen CM, Lin CN, Tsai SS, Lyu RK, Chu CC, Ro LS, Liao MF, Chang HS, Weng YC, Hwang JS, Kuo HC. Identification of blood metabolic biomarkers associated with diabetic distal symmetric sensorimotor polyneuropathy in patients with type 2 diabetes mellitus. J Peripher Nerv Syst 2023; 28:651-663. [PMID: 37831393 DOI: 10.1111/jns.12600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 10/06/2023] [Accepted: 10/12/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND Distal symmetric sensorimotor polyneuropathy (DSPN) is a common neurologic complication of type 2 diabetes mellitus (T2DM), but the underlying mechanisms and changes in serum metabolites remain largely undefined. This study aimed to characterize the plasma metabolite profiles of participants with T2DM using targeted metabolomics analysis and identify potential biomarkers for DSPN. METHODS A combined liquid chromatography MS/MS and direct flow injection were used to quantify plasma metabolite obtained from 63 participants with T2DM, 81 with DSPN, and 33 nondiabetic control participants. A total of 130 metabolites, including amino acids, biogenic amines, sphingomyelins (SM), phosphatidylcholines, carnitines, and hexose, were analyzed. RESULTS A total of 16 plasma metabolites and 3 cholesterol-related laboratory parameters were found to have variable importance in the projection score >1.0 and false discovery rate <5.0% between control, T2DM, and DSPN. Among these variables, five serum metabolites, including phenylalanine (AUC = 0.653), alanine (AUC = 0.630), lysine (AUC = 0.622) tryptophan (AUC = 0.620), and SM C16:0 (AUC = 0.630), are potential biomarkers (all p < .05) in distinguishing T2DM with DSPN from those without (AUC = 0.720). CONCLUSIONS In this cross-sectional study, derangement of several metabolites in the plasma was observed in T2DM with and without DSPN, and these metabolites may be potential biomarkers for predicting DSPN. Longitudinal studies are warranted.
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Affiliation(s)
- Kuo-Hsuan Chang
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chiung-Mei Chen
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chia-Ni Lin
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Sung-Sheng Tsai
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
| | - Rong-Kuo Lyu
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chun-Che Chu
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Long-Sun Ro
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Ming-Feng Liao
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Hong-Shiu Chang
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Yi-Ching Weng
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Jawl-Shan Hwang
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
| | - Hung-Chou Kuo
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
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10
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Wang G, Song J, Wang C, Chen X, Suo H. Metabolomics reveals the role of Lactobacillus plantarum SHY130 in hepatic metabolic regulation in a mouse model of type 2 diabetes. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:6406-6415. [PMID: 37209399 DOI: 10.1002/jsfa.12716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 05/01/2023] [Accepted: 05/16/2023] [Indexed: 05/22/2023]
Abstract
BACKGROUND Among type 2 diabetes (T2D) patients, the incidence rate of liver metabolic disorders is much higher than that in healthy subjects. It was observed in our previous research that diabetic symptoms were improved by Lactobacillus plantarum SHY130 (LPSHY130) isolated from yak yogurt in a murine model of T2D. This study sought to investigate the LPSHY130-mediated hepatic metabolic regulation in a murine model of T2D. RESULTS Treatment with LPSHY130 improved liver function and pathological damage in diabetic mice. Untargeted metabolome analysis revealed that T2D-induced changes in 11 metabolites were regulated after LPSHY130 treatment, mainly involving purine metabolism, amino acid metabolism, and choline metabolism and pantothenate and coenzyme A biosynthesis pathways. In addition, correlation analysis indicated that hepatic metabolic changes can be adjusted by the intestinal microbiota. CONCLUSION Overall, this study suggests that treatment with LPSHY130 relieves liver injury and regulates liver metabolism in a murine model of T2D, thus providing a theoretical basis for the use of probiotics as dietary supplements to regulate hepatic metabolic disorders associated with T2D. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Guangqi Wang
- College of Food Science, Southwest University, Chongqing, China
- Chongqing Agricultural Product Processing Technology Innovation Platform, Southwest University, Chongqing, China
| | - Jiajia Song
- College of Food Science, Southwest University, Chongqing, China
- Chongqing Agricultural Product Processing Technology Innovation Platform, Southwest University, Chongqing, China
| | - Chen Wang
- College of Food Science, Southwest University, Chongqing, China
- Chongqing Agricultural Product Processing Technology Innovation Platform, Southwest University, Chongqing, China
| | - Xiaoyong Chen
- College of Food Science, Southwest University, Chongqing, China
- Chongqing Agricultural Product Processing Technology Innovation Platform, Southwest University, Chongqing, China
| | - Huayi Suo
- College of Food Science, Southwest University, Chongqing, China
- Chongqing Agricultural Product Processing Technology Innovation Platform, Southwest University, Chongqing, China
- National Citrus Engineering Research Center, Southwest University, Chongqing, China
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11
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Hou Y, Bai L, Wang X, Zhang S, Liu S, Hu J, Gao J, Guo S, Ho CT, Bai N. Gut Microbiota Combined with Serum Metabolomics to Investigate the Hypoglycemic Effect of Actinidia arguta Leaves. Nutrients 2023; 15:4115. [PMID: 37836402 PMCID: PMC10574697 DOI: 10.3390/nu15194115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
Actinidia arguta leaves (AAL) are an excellent source of bioactive components for the food industry and possess many functional properties. However, the hypoglycemic effect and mechanism of AAL remain unclear. The aim of this work was to investigate the potential hypoglycemic effect of AAL and explore its possible mechanism using 16S rRNA sequencing and serum metabolomics in diabetic mice induced by high-fat feeding in combination with streptozotocin injection. A total of 25 flavonoids from AAL were isolated and characterized, and the contents of the extract from the AAL ranged from 0.14 mg/g DW to 8.97 mg/g DW. The compound quercetin (2) had the highest content of 8.97 ± 0.09 mg/g DW, and the compound kaempferol-3-O-(2'-O-D-glucopyl)-β-D-rutinoside (12) had the lowest content of 0.14 ± 0.01 mg/g DW. In vivo experimental studies showed that AAL reduced blood glucose and cholesterol levels, improved insulin sensitivity, and ameliorated oxidative stress and liver and kidney pathological damage. In addition, gut microbiota analysis found that AAL significantly reduced the F/B ratio, enriched the beneficial bacteria Bacteroides and Bifidobacterium, and inhibited the harmful bacteria Lactobacillus and Desulfovibrio, thereby playing an active role in intestinal imbalance. In addition, metabolomics analysis showed that AAL could improve amino acid metabolism and arachidonic acid metabolism, thereby exerting a hypoglycemic effect. This study confirmed that AAL can alleviate type 2 diabetes mellitus (T2DM) by regulating intestinal flora and interfering with related metabolic pathways, providing a scientific basis for its use as a dietary supplement and for further exploration of the mechanism of AAL against T2DM.
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Affiliation(s)
- Yufei Hou
- College of Food Science and Technology, Northwest University, 229 Taibai North Road, Xi’an 710069, China; (Y.H.); (S.G.)
| | - Lu Bai
- College of Food Science and Technology, Northwest University, 229 Taibai North Road, Xi’an 710069, China; (Y.H.); (S.G.)
- Instrument Analysis Center, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710048, China
| | - Xin Wang
- College of Food Science and Technology, Northwest University, 229 Taibai North Road, Xi’an 710069, China; (Y.H.); (S.G.)
| | - Shanshan Zhang
- Department of Pharmaceutical Engineering, College of Chemical Engineering, Northwest University, 229 Taibai North Road, Xi’an 710069, China
| | - Shaojing Liu
- Department of Pharmaceutical Engineering, College of Chemical Engineering, Northwest University, 229 Taibai North Road, Xi’an 710069, China
- College of Pharmacy, Xi’an Medical University, 1 Xinwang Road, Xi’an 710021, China
| | - Jiabing Hu
- College of Food Science and Technology, Northwest University, 229 Taibai North Road, Xi’an 710069, China; (Y.H.); (S.G.)
| | - Jing Gao
- College of Food Science and Technology, Northwest University, 229 Taibai North Road, Xi’an 710069, China; (Y.H.); (S.G.)
| | - Sen Guo
- College of Food Science and Technology, Northwest University, 229 Taibai North Road, Xi’an 710069, China; (Y.H.); (S.G.)
| | - Chi-Tang Ho
- Department of Food Science, Rutgers University, 65 Dudley Road, New Brunswick, NJ 08901, USA
| | - Naisheng Bai
- College of Food Science and Technology, Northwest University, 229 Taibai North Road, Xi’an 710069, China; (Y.H.); (S.G.)
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12
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Keijer J, Escoté X, Galmés S, Palou-March A, Serra F, Aldubayan MA, Pigsborg K, Magkos F, Baker EJ, Calder PC, Góralska J, Razny U, Malczewska-Malec M, Suñol D, Galofré M, Rodríguez MA, Canela N, Malcic RG, Bosch M, Favari C, Mena P, Del Rio D, Caimari A, Gutierrez B, Del Bas JM. Omics biomarkers and an approach for their practical implementation to delineate health status for personalized nutrition strategies. Crit Rev Food Sci Nutr 2023; 64:8279-8307. [PMID: 37077157 DOI: 10.1080/10408398.2023.2198605] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
Personalized nutrition (PN) has gained much attention as a tool for empowerment of consumers to promote changes in dietary behavior, optimizing health status and preventing diet related diseases. Generalized implementation of PN faces different obstacles, one of the most relevant being metabolic characterization of the individual. Although omics technologies allow for assessment the dynamics of metabolism with unprecedented detail, its translatability as affordable and simple PN protocols is still difficult due to the complexity of metabolic regulation and to different technical and economical constrains. In this work, we propose a conceptual framework that considers the dysregulation of a few overarching processes, namely Carbohydrate metabolism, lipid metabolism, inflammation, oxidative stress and microbiota-derived metabolites, as the basis of the onset of several non-communicable diseases. These processes can be assessed and characterized by specific sets of proteomic, metabolomic and genetic markers that minimize operational constrains and maximize the information obtained at the individual level. Current machine learning and data analysis methodologies allow the development of algorithms to integrate omics and genetic markers. Reduction of dimensionality of variables facilitates the implementation of omics and genetic information in digital tools. This framework is exemplified by presenting the EU-Funded project PREVENTOMICS as a use case.
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Affiliation(s)
- Jaap Keijer
- Human and Animal Physiology, Wageningen University, Wageningen, the Netherlands
| | - Xavier Escoté
- EURECAT, Centre Tecnològic de Catalunya, Nutrition and Health, Reus, Spain
| | - Sebastià Galmés
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Spin-off n.1 of the University of the Balearic Islands, Alimentómica S.L, Palma, Spain
| | - Andreu Palou-March
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Spin-off n.1 of the University of the Balearic Islands, Alimentómica S.L, Palma, Spain
| | - Francisca Serra
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Spin-off n.1 of the University of the Balearic Islands, Alimentómica S.L, Palma, Spain
| | - Mona Adnan Aldubayan
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Nutrition, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Kristina Pigsborg
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Faidon Magkos
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Ella J Baker
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Philip C Calder
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, UK
| | - Joanna Góralska
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland
| | - Urszula Razny
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland
| | | | - David Suñol
- Digital Health, Eurecat, Centre Tecnològic de Catalunya, Barcelona, Spain
| | - Mar Galofré
- Digital Health, Eurecat, Centre Tecnològic de Catalunya, Barcelona, Spain
| | - Miguel A Rodríguez
- Centre for Omic Sciences (COS), Joint Unit URV-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Eurecat, Centre Tecnològic de Catalunya, Reus, Spain
| | - Núria Canela
- Centre for Omic Sciences (COS), Joint Unit URV-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Eurecat, Centre Tecnològic de Catalunya, Reus, Spain
| | - Radu G Malcic
- Health and Biomedicine, LEITAT Technological Centre, Barcelona, Spain
| | - Montserrat Bosch
- Applied Microbiology and Biotechnologies, LEITAT Technological Centre, Terrassa, Spain
| | - Claudia Favari
- Human Nutrition Unit, Department of Food & Drug, University of Parma, Parma, Italy
| | - Pedro Mena
- Human Nutrition Unit, Department of Food & Drug, University of Parma, Parma, Italy
| | - Daniele Del Rio
- Human Nutrition Unit, Department of Food & Drug, University of Parma, Parma, Italy
| | - Antoni Caimari
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology area, Reus, Spain
| | | | - Josep M Del Bas
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology area, Reus, Spain
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13
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Bai Z, Huang X, Wu G, Zhang Y, Xu H, Chen Y, Yang H, Nie S. Polysaccharides from small black soybean alleviating type 2 diabetes via modulation of gut microbiota and serum metabolism. Food Hydrocoll 2023. [DOI: 10.1016/j.foodhyd.2023.108670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
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14
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Chen XL, Cai K, Zhang W, Su SL, Zhao LH, Qiu LP, Duan JA. Bear bile powder ameliorates type 2 diabetes via modulation of metabolic profiles, gut microbiota, and metabolites. Front Pharmacol 2023; 13:1090955. [PMID: 36686652 PMCID: PMC9846258 DOI: 10.3389/fphar.2022.1090955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023] Open
Abstract
Introduction: Bear bile powder (BBP) is widely used in the clinic and has a hypoglycemic effect, but its mechanism is not clear. Methods: In this study, type 2 diabetes mellitus (T2DM) rats induced by a high-sugar and high-fat diet combined with streptozotocin were given BBP, and biochemical indexes, pathological sections, metabonomics, intestinal microbiota (IM) and short-chain fatty acids (SCFAs) were determined. Results: The results showed that BBP could reduce blood glucose, relieve inflammation, insulin resistance, and lipid metabolism disorder, and alleviate tissue damage of the liver, spleen, kidney, and pancreas in T2DM rats. It is worth noting that BBP can reverse the changes in blood and urine metabolites in T2DM rats, which are mainly related to tryptophan metabolism, pentose and glucuronate interconversions, starch and sucrose metabolism, and glycerophospholipid metabolism. In addition, BBP restored IM disorder in T2DM rats, decreased the abundance of Allobaculum, Blautia, Dubosiella, and Anaerostipes, enriched the abundance of Lactobacillus, Romboutsia, UCG-005, and norank_f__Eggerthellaceae, and increased the concentration of SCFAs in intestinal contents. Discussion: These findings suggest that BBP may improve T2DM by regulating multiple metabolic pathways, IM composition, and SCFAs levels.
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Affiliation(s)
- Xing-Ling Chen
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, China
| | - Ke Cai
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, China
| | - Wen Zhang
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, China
| | - Shu-Lan Su
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, China,*Correspondence: Shu-Lan Su, ; Jin-Ao Duan,
| | - Li-Hui Zhao
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, China
| | - Li-Ping Qiu
- Fujian Guizhentang Pharmaceutical Co., Ltd., Huian, China
| | - Jin-Ao Duan
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, China,*Correspondence: Shu-Lan Su, ; Jin-Ao Duan,
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15
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Bhargave A, Devi K, Ahmad I, Yadav A, Gupta R. Genetic variation in DPP-IV gene linked to predisposition of T2DM: A case control study. J Diabetes Metab Disord 2022; 21:1709-1716. [PMID: 36249912 PMCID: PMC9554862 DOI: 10.1007/s40200-022-01131-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 09/15/2022] [Indexed: 11/25/2022]
Abstract
Purpose DPP-IV is a ubiquitously expressed cell surface protein that can be presented in soluble forms. It has recently gained medical importance as its inhibitors are widely being used as treatment of T2DM. The present research aims to resolve whether genetic variants of DPP-IV have association with susceptibility to T2DM. Method Two variants of DPP-IV were detected in 100 controls and 100 T2DM by PCR–RFLP technique. Demographic characteristics were recorded. Clinical characteristics were analyzed by enzymatic method. Statistical analysis was performed using SPSS-21. Results Demographic and clinical characteristics differ significantly between two groups. The genetic variation in SNP rs3788979 and SNP rs7608798, both in case and control, were in accordance with Hardy–Weinberg Equilibrium (p value > 0.05). Both SNPs rs3788979 and rs7608798 were significantly related to T2DM (p- < 0.05). Minor G allele of rs3788979 was linked with the susceptibility of T2DM (p-value-0.000; OR- 4.235). T allele of SNP rs7608798 conferred the risk of diabetes with OR-2.235. Conclusion This is the first attempt to investigate the association of DPP-IV gene with T2DM in Indian population. The finding of study concludes that genetic variation in DPP-IV gene may considerably increase the risk of developing T2DM.
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Affiliation(s)
- Archna Bhargave
- Department of Biochemistry, Kurukshetra University, Kurukshetra, 136119 Haryana India
| | - Kiran Devi
- Department of Biochemistry, Kurukshetra University, Kurukshetra, 136119 Haryana India
| | - Imteyaz Ahmad
- Department of Biochemistry, Kurukshetra University, Kurukshetra, 136119 Haryana India
| | - Anita Yadav
- Department of Biotechnology, Kurukshetra Univerity, Kurukshetra, India
| | - Ranjan Gupta
- Department of Biochemistry, Kurukshetra University, Kurukshetra, 136119 Haryana India
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16
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Rahmani P, Abolhasani R, Heidari G, Mohebbi A, Sayarifard F, Rabbani A, Vafaei N, Lotfi J. Determination of carnitine ester profile in the children with type 1 diabetes: a valuable step towards a better management. Arch Physiol Biochem 2022; 128:1209-1214. [PMID: 32449378 DOI: 10.1080/13813455.2020.1762662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objective: This study is designed to investigate the levels of carnitine and acylcarnitines (ACs) in the children with diabetes type 1 compared to the healthy subjects.Methods: Forty-two type 1 diabetic children and healthy subjects were recruited in the study, respectively. In addition to FBS and Hb A1C, free carnitine and ACs in butyl-ester form in the fasting blood samples were assessed by isotope dilution mass spectrometry for all diabetics and controls using the tandem mass spectrometry system.Results: Diabetic patients had a higher level of C, C4, C6, C14, C18:2, and C18:2OH. Females had elevated C14:2 compared to the males. The C18:2 and C18:2OH levels were elevated as the Hb A1C level increased. The C18:2, C14OH were mostly increased in the prediabetic and diabetic patients, respectively.Conclusion: Increased ACs level indicates the increased acyl-CoA intermediates for the fatty acids and amino acids oxidation.
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Affiliation(s)
- Parisa Rahmani
- Pediatric Gastroenterology and Hepatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Ghobad Heidari
- Department of Pediatrics, Faculty of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Ali Mohebbi
- Growth and Development Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Sayarifard
- Pediatric Gastroenterology and Hepatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Rabbani
- Growth and Development Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Nahid Vafaei
- Growth and Development Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Jabar Lotfi
- Growth and Development Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
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17
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Diagnosing Arterial Stiffness in Pregnancy and Its Implications in the Cardio-Renal-Metabolic Chain. Diagnostics (Basel) 2022; 12:diagnostics12092221. [PMID: 36140621 PMCID: PMC9497660 DOI: 10.3390/diagnostics12092221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/02/2022] [Accepted: 09/10/2022] [Indexed: 11/16/2022] Open
Abstract
Cardio-renal and metabolic modifications during gestation are crucial determinants of foetal and maternal health in the short and long term. The cardio-renal metabolic syndrome is a vicious circle that starts in the presence of risk factors such as obesity, hypertension, diabetes, kidney disease and ageing, all predisposing to a status dominated by increased arterial stiffness and alteration of the vascular wall, which eventually damages the target organs, such as the heart and kidneys. The literature is scarce regarding cardio-renal metabolic syndrome in pregnancy cohorts. The present paper exposes the current state of the art and emphasises the most important findings of this entity, particularly in pregnant women. The early assessment of arterial function can lead to proper and individualised measures for women predisposed to hypertension, pre-eclampsia, eclampsia, and diabetes mellitus. This review focuses on available information regarding the assessment of arterial function during gestation, possible cut-off values, the possible predictive role for future events and modalities to reverse or control its dysfunction, a fact of crucial importance with excellent outcomes at meagre costs.
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18
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Liu T, Wang D, Zhou X, Song J, Yang Z, Shi C, Li R, Zhang Y, Zhang J, Yan J, Zhu X, Li Y, Gong M, Wang C, Yuan C, Cui Y, Wu X. Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics. Front Pharmacol 2022; 13:960050. [PMID: 36120310 PMCID: PMC9479495 DOI: 10.3389/fphar.2022.960050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 08/01/2022] [Indexed: 11/29/2022] Open
Abstract
American ginseng extract (AGE) is an efficient and low-toxic adjuvant for type 2 diabetes mellitus (T2DM). However, the metabolic mechanisms of AGE against T2DM remain unknown. In this study, a rat model of T2DM was created and administered for 28 days. Their biological (body weight and serum biochemical indicators) and pathological (pancreatic sections stained with HE) information were collected for further pharmacodynamic evaluation. Moreover, an ultra-performance liquid chromatography–mass spectrometry–based (UHPLC–MS/MS–based) untargeted metabolomics method was used to identify potential biomarkers of serum samples from all rats and related metabolic pathways. The results indicated that body weight, fasting blood glucose (FBG), fasting blood insulin (FINS), blood triglyceride concentration (TG), high-density lipoprotein cholesterol (HDL-C), insulin resistance index (HOMA-IR) and insulin sensitivity index (ISI), and impaired islet cells were significantly improved after the high dose of AGE (H_AGE) and metformin treatment. Metabolomics analysis identified 101 potential biomarkers among which 94 metabolites had an obvious callback. These potential biomarkers were mainly enriched in nine metabolic pathways linked to amino acid metabolism and lipid metabolism. Tryptophan metabolism and glutathione metabolism, as differential metabolic pathways between AGE and metformin for treating T2DM, were further explored. Further analysis of the aforementioned results suggested that the anti-T2DM effect of AGE was closely associated with inflammation, oxidative stress, endothelial dysfunction, dyslipidemia, immune response, insulin resistance, insulin secretion, and T2DM-related complications. This study can provide powerful support for the systematic exploration of the mechanism of AGE against T2DM and a basis for the clinical diagnosis of T2DM.
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Affiliation(s)
- Tiantian Liu
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Dan Wang
- School of Pharmacy, Tianjin Medical University, Tianjin, China
- Department of Pharmacy, Chu Hisen-I Memorial Hospital, Tianjin Medical University, Tianjin, China
| | - Xinfeng Zhou
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Jiayin Song
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Zijun Yang
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Chang Shi
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Rongshan Li
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Yanwen Zhang
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Jun Zhang
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Jiuxing Yan
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Xuehui Zhu
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Ying Li
- Tianjin Neurological Institute, Tianjin Medical University, Tianjin, China
| | - Min Gong
- School of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Chongzhi Wang
- Tang Center for Herbal Medicine Research, University of Chicago, Chicago, IL, United States
| | - Chunsu Yuan
- Tang Center for Herbal Medicine Research, University of Chicago, Chicago, IL, United States
| | - Yan Cui
- Department of Pathogen Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
- *Correspondence: Yan Cui, ; Xiaohui Wu,
| | - Xiaohui Wu
- School of Pharmacy, Tianjin Medical University, Tianjin, China
- *Correspondence: Yan Cui, ; Xiaohui Wu,
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19
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Ban Q, Sun X, Jiang Y, Cheng J, Guo M. Effect of synbiotic yogurt fortified with monk fruit extract on hepatic lipid biomarkers and metabolism in rats with type 2 diabetes. J Dairy Sci 2022; 105:3758-3769. [PMID: 35248379 DOI: 10.3168/jds.2021-21204] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 01/14/2022] [Indexed: 01/03/2024]
Abstract
Monk fruit extract (MFE) is widely used as a sweetener in foods. In this study, the effects of the consumption of MFE-sweetened synbiotic yogurt on the lipid biomarkers and metabolism in the livers of type 2 diabetic rats were evaluated. The results revealed that the MFE-sweetened symbiotic yogurt affected the phosphatidylcholines, phosphatidylethanolamines, phosphatidylglycerol, lysophosphatidic acids, lysophosphatidylcholines, lysophosphatidylethanolamines, lysophosphatidylglycerols, lysophosphatidylinositols, lysophosphatidylserines, and fatty acid-hydroxy fatty acids biomarkers in the livers of type 2 diabetic rats. In addition, the consumption of the MFE-sweetened synbiotic yogurt significantly altered 12 hepatic metabolites, which are involved in phenylalanine metabolism, sphingolipid metabolism, bile secretion, and glyoxylate and dicarboxylate metabolism in the liver. Furthermore, a multiomics (metabolomic and transcriptomic) association study revealed that there was a significant correlation between the MFE-sweetened synbiotic yogurt and the metabolites and genes involved in fatty acid biosynthesis, bile secretion, and glyoxylate and dicarboxylate metabolism. The findings of this study will provide new insights on exploring the function of sweeteners for improving type 2 diabetes mellitus liver lipid biomarkers.
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Affiliation(s)
- Qingfeng Ban
- College of Food Science, Northeast Agricultural University, Harbin, 150030, China; Key Laboratory of Dairy Science of Ministry of Education, Northeast Agricultural University, Harbin 150030, China
| | - Xiaomeng Sun
- College of Food Science, Northeast Agricultural University, Harbin, 150030, China
| | - Yunqing Jiang
- College of Food Science, Northeast Agricultural University, Harbin, 150030, China
| | - Jianjun Cheng
- College of Food Science, Northeast Agricultural University, Harbin, 150030, China.
| | - Mingruo Guo
- Department of Nutrition and Food Sciences, College of Agriculture and Life Sciences, University of Vermont, Burlington 05405.
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20
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Huang Z, Klaric L, Krasauskaite J, McLachlan S, Strachan MWJ, Wilson JF, Price JF. Serum metabolomic profiles associated with subclinical and clinical cardiovascular phenotypes in people with type 2 diabetes. Cardiovasc Diabetol 2022; 21:62. [PMID: 35477395 PMCID: PMC9047374 DOI: 10.1186/s12933-022-01493-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 04/05/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Atherosclerotic cardiovascular diseases (CVD) is the leading cause of death in diabetes, but the full range of biomarkers reflecting atherosclerotic burden and CVD risk in people with diabetes is unknown. Metabolomics may help identify novel biomarkers potentially involved in development of atherosclerosis. We investigated the serum metabolomic profile of subclinical atherosclerosis, measured using ankle brachial index (ABI), in people with type 2 diabetes, compared with the profile for symptomatic CVD in the same population. METHODS The Edinburgh Type 2 Diabetes Study is a cohort of 1,066 individuals with type 2 diabetes. ABI was measured at baseline, years 4 and 10, with cardiovascular events assessed at baseline and during 10 years of follow-up. A panel of 228 metabolites was measured at baseline using nuclear magnetic resonance spectrometry, and their association with both ABI and prevalent CVD was explored using univariate regression models and least absolute shrinkage and selection operator (LASSO). Metabolites associated with baseline ABI were further explored for association with follow-up ABI and incident CVD. RESULTS Mean (standard deviation, SD) ABI at baseline was 0.97 (0.18, N = 1025), and prevalence of CVD was 35.0%. During 10-year follow-up, mean (SD) change in ABI was + 0.006 (0.178, n = 436), and 257 CVD events occurred. Lactate, glycerol, creatinine and glycoprotein acetyls levels were associated with baseline ABI in both univariate regression [βs (95% confidence interval, CI) ranged from - 0.025 (- 0.036, - 0.015) to - 0.023 (- 0.034, - 0.013), all p < 0.0002] and LASSO analysis. The associations remained nominally significant after adjustment for major vascular risk factors. In prospective analyses, lactate was nominally associated with ABI measured at years 4 and 10 after adjustment for baseline ABI. The four ABI-associated metabolites were all positively associated with prevalent CVD [odds ratios (ORs) ranged from 1.29 (1.13, 1.47) to 1.49 (1.29, 1.74), all p < 0.0002], and they were also positively associated with incident CVD [ORs (95% CI) ranged from 1.19 (1.02, 1.39) to 1.35 (1.17, 1.56), all p < 0.05]. CONCLUSIONS Serum metabolites relating to glycolysis, fluid balance and inflammation were independently associated with both a marker of subclinical atherosclerosis and with symptomatic CVD in people with type 2 diabetes. Additional investigation is warranted to determine their roles as possible etiological and/or predictive biomarkers for atherosclerotic CVD.
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Affiliation(s)
- Zhe Huang
- Centre for Global Health, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
| | - Lucija Klaric
- MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Justina Krasauskaite
- Centre for Global Health, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Stela McLachlan
- Centre for Global Health, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | | | - James F Wilson
- Centre for Global Health, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.,MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Jackie F Price
- Centre for Global Health, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
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21
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Paapstel K, Kals J. Metabolomics of Arterial Stiffness. Metabolites 2022; 12:370. [PMID: 35629874 PMCID: PMC9146333 DOI: 10.3390/metabo12050370] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/15/2022] [Accepted: 04/18/2022] [Indexed: 12/18/2022] Open
Abstract
Arterial stiffness (AS) is one of the earliest detectable signs of structural and functional alterations of the vessel wall and an independent predictor of cardiovascular events and death. The emerging field of metabolomics can be utilized to detect a wide spectrum of intermediates and products of metabolism in body fluids that can be involved in the pathogenesis of AS. Research over the past decade has reinforced this idea by linking AS to circulating acylcarnitines, glycerophospholipids, sphingolipids, and amino acids, among other metabolite species. Some of these metabolites influence AS through traditional cardiovascular risk factors (e.g., high blood pressure, high blood cholesterol, diabetes, smoking), while others seem to act independently through both known and unknown pathophysiological mechanisms. We propose the term 'arteriometabolomics' to indicate the research that applies metabolomics methods to study AS. The 'arteriometabolomics' approach has the potential to allow more personalized cardiovascular risk stratification, disease monitoring, and treatment selection. One of its major goals is to uncover the causal metabolic pathways of AS. Such pathways could represent valuable treatment targets in vascular ageing.
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Affiliation(s)
- Kaido Paapstel
- Endothelial Research Centre, University of Tartu, 8 Puusepa Street, 51014 Tartu, Estonia;
- Department of Cardiology, Institute of Clinical Medicine, University of Tartu, 8 Puusepa Street, 51014 Tartu, Estonia
- Heart Clinic, Tartu University Hospital, 8 Puusepa Street, 51014 Tartu, Estonia
| | - Jaak Kals
- Endothelial Research Centre, University of Tartu, 8 Puusepa Street, 51014 Tartu, Estonia;
- Department of Surgery, Institute of Clinical Medicine, University of Tartu, 8 Puusepa Street, 51014 Tartu, Estonia
- Surgery Clinic, Tartu University Hospital, 8 Puusepa Street, 51014 Tartu, Estonia
- Department of Biochemistry, Institute of Biomedicine and Translational Medicine, Centre of Excellence for Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia
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22
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Chen Y, Li EM, Xu LY. Guide to Metabolomics Analysis: A Bioinformatics Workflow. Metabolites 2022; 12:357. [PMID: 35448542 PMCID: PMC9032224 DOI: 10.3390/metabo12040357] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/12/2022] [Accepted: 04/14/2022] [Indexed: 02/05/2023] Open
Abstract
Metabolomics is an emerging field that quantifies numerous metabolites systematically. The key purpose of metabolomics is to identify the metabolites corresponding to each biological phenotype, and then provide an analysis of the mechanisms involved. Although metabolomics is important to understand the involved biological phenomena, the approach's ability to obtain an exhaustive description of the processes is limited. Thus, an analysis-integrated metabolomics, transcriptomics, proteomics, and other omics approach is recommended. Such integration of different omics data requires specialized statistical and bioinformatics software. This review focuses on the steps involved in metabolomics research and summarizes several main tools for metabolomics analyses. We also outline the most abnormal metabolic pathways in several cancers and diseases, and discuss the importance of multi-omics integration algorithms. Overall, our goal is to summarize the current metabolomics analysis workflow and its main analysis software to provide useful insights for researchers to establish a preferable pipeline of metabolomics or multi-omics analysis.
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Affiliation(s)
- Yang Chen
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China
- Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou 515041, China
| | - En-Min Li
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041, China
- Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou 515041, China
| | - Li-Yan Xu
- The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou 515041,
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23
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Zhu L, Huang Q, Li X, Jin B, Ding Y, Chou CJ, Su KJ, Zhang Y, Chen X, Hwa KY, Thyparambil S, Liao W, Han Z, Mortensen R, Jin Y, Li Z, Schilling J, Li Z, Sylvester KG, Sun X, Ling XB. Serological Phenotyping Analysis Uncovers a Unique Metabolomic Pattern Associated With Early Onset of Type 2 Diabetes Mellitus. Front Mol Biosci 2022; 9:841209. [PMID: 35463946 PMCID: PMC9024215 DOI: 10.3389/fmolb.2022.841209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 03/14/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Type 2 diabetes mellitus (T2DM) is a multifaceted disorder affecting epidemic proportion at global scope. Defective insulin secretion by pancreatic β-cells and the inability of insulin-sensitive tissues to respond effectively to insulin are the underlying biology of T2DM. However, circulating biomarkers indicative of early diabetic onset at the asymptomatic stage have not been well described. We hypothesized that global and targeted mass spectrometry (MS) based metabolomic discovery can identify novel serological metabolic biomarkers specifically associated with T2DM. We further hypothesized that these markers can have a unique pattern associated with latent or early asymptomatic stage, promising an effective liquid biopsy approach for population T2DM risk stratification and screening. Methods: Four independent cohorts were assembled for the study. The T2DM cohort included sera from 25 patients with T2DM and 25 healthy individuals for the biomarker discovery and sera from 15 patients with T2DM and 15 healthy controls for the testing. The Pre-T2DM cohort included sera from 76 with prediabetes and 62 healthy controls for the model training and sera from 35 patients with prediabetes and 27 healthy controls for the model testing. Both global and targeted (amino acid, acylcarnitine, and fatty acid) approaches were used to deep phenotype the serological metabolome by high performance liquid chromatography-high resolution mass spectrometry. Different machine learning approaches (Random Forest, XGBoost, and ElasticNet) were applied to model the unique T2DM/Pre-T2DM metabolic patterns and contrasted with their effectiness to differentiate T2DM/Pre-T2DM from controls. Results: The univariate analysis identified unique panel of metabolites (n = 22) significantly associated with T2DM. Global metabolomics and subsequent structure determination led to the identification of 8 T2DM biomarkers while targeted LCMS profiling discovered 14 T2DM biomarkers. Our panel can effectively differentiate T2DM (ROC AUC = 1.00) or Pre-T2DM (ROC AUC = 0.84) from the controls in the respective testing cohort. Conclusion: Our serological metabolite panel can be utilized to identifiy asymptomatic population at risk of T2DM, which may provide utility in identifying population at risk at an early stage of diabetic development to allow for clinical intervention. This early detection would guide ehanced levels of care and accelerate development of clinical strategies to prevent T2DM.
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Affiliation(s)
- Linmin Zhu
- School of Laboratory Medicine, Tianjin Medical University, Tianjin, China
- Tianjin Teda Hospital, Tianjin, China
| | | | - Xiao Li
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
- Binhai Industrial Technology Research Institute, Zhejiang University, Tianjin, China
| | - Bo Jin
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
| | - Yun Ding
- mProbe Inc, Mountain View, CA, United States
| | | | - Kuo-Jung Su
- mProbe Inc, Mountain View, CA, United States
| | - Yani Zhang
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
| | | | | | | | - Weili Liao
- mProbe Inc, Mountain View, CA, United States
| | - Zhi Han
- mProbe Inc, Mountain View, CA, United States
| | | | - Yi Jin
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
| | - Zhen Li
- Shanghai Yunxiang Medical Technology Co., Ltd., Shanghai, China
| | - James Schilling
- mProbe Inc, Mountain View, CA, United States
- Binhai Industrial Technology Research Institute, Zhejiang University, Tianjin, China
| | - Zhen Li
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
- Binhai Industrial Technology Research Institute, Zhejiang University, Tianjin, China
| | - Karl G. Sylvester
- Department of Surgery, Stanford University, School of Medicine, Stanford, CA, United States
| | - Xuguo Sun
- School of Laboratory Medicine, Tianjin Medical University, Tianjin, China
- *Correspondence: Xuguo Sun, ; Xuefeng B. Ling,
| | - Xuefeng B. Ling
- Department of Surgery, Stanford University, School of Medicine, Stanford, CA, United States
- *Correspondence: Xuguo Sun, ; Xuefeng B. Ling,
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Meng L, Yang R, Wang D, Wu W, Shi J, Shen J, Dang Y, Fan G, Shi H, Dong J, Xi H, Yu P. Specific lysophosphatidylcholine and acylcarnitine related to sarcopenia and its components in older men. BMC Geriatr 2022; 22:249. [PMID: 35337292 PMCID: PMC8957177 DOI: 10.1186/s12877-022-02953-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/14/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Metabolic profiling may provide insights into the pathogenesis and identification of sarcopenia; however, data on the metabolic basis of sarcopenia and muscle-related parameters among older adults remain incompletely understood. This study aimed to identify the associations of metabolites with sarcopenia and its components, and to explore metabolic perturbations in older men, who have a higher prevalence of sarcopenia than women. METHODS We simultaneously measured the concentrations of amino acids, carnitine, acylcarnitines, and lysophosphatidylcholines (LPCs) in serum samples from a cross-sectional study of 246 Chinese older men, using targeted metabolomics. Sarcopenia and its components, including skeletal muscle index (SMI), 6-m gait speed, and handgrip strength were assessed according to the algorithm of the Asian Working Group for Sarcopenia criteria. Associations were determined by univariate and multivariate analyses. RESULTS Sixty-five (26.4%) older men with sarcopenia and 181 (73.6%) without sarcopenia were included in the study. The level of isovalerylcarnitine (C5) was associated with the presence of sarcopenia and SMI. Regarding the overlapped metabolites for muscle parameters, among ten metabolites associated with muscle mass, six metabolites including leucine, octanoyl-L-carnitine (C8), decanoyl-L-carnitine (C10), dodecanoyl-L-carnitine (C12) and tetradecanoyl-L-carnitine (C14), and LPC18:2 were associated with handgrip strength, and three of which (C12, C14, and LPC18:2) were also associated with gait speed. Specifically, tryptophan was positively associated and glycine was negatively associated with handgrip strength, while glutamate was positively correlated with gait speed. Isoleucine, branched chain amino acids, and LPC16:0 were positively associated with SMI. Moreover, the levels of LPC 16:0,18:2 and 18:0 contributed significantly to the model discriminating between older men with and without sarcopenia, whereas there were no significant associations for other amino acids, acylcarnitines, and LPC lipids. CONCLUSIONS These results showed that specific and overlapped metabolites are associated with sarcopenic parameters in older men. This study highlights the potential roles of acylcarnitines and LPCs in sarcopenia and its components, which may provide valuable information regarding the pathogenesis and management of sarcopenia.
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Affiliation(s)
- Li Meng
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Ruiyue Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Daguang Wang
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Wenbin Wu
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Jing Shi
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Ji Shen
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Yamin Dang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Guoqing Fan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Hong Shi
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Jun Dong
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Huan Xi
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Pulin Yu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China.
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Chen X, Chen W, Ci W, Zheng Y, Han X, Huang J, Zhu J. Effects of Dietary Supplementation with Lactobacillus acidophilus and Bacillus subtilis on Mucosal Immunity and Intestinal Barrier Are Associated with Its Modulation of Gut Metabolites and Microbiota in Late-Phase Laying Hens. Probiotics Antimicrob Proteins 2022:10.1007/s12602-022-09923-7. [PMID: 35138584 DOI: 10.1007/s12602-022-09923-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/21/2022] [Indexed: 02/07/2023]
Abstract
We investigated the effects of dietary supplementation with Lactobacillus acidophilus and Bacillus subtilis on the intestinal immune response, intestinal barrier function, cecal microbiota profile, and metabolite profile in late-phase laying hens. Hens were divided into three groups and fed with the basal diet (NC group), basal diet supplementation with 250 mg/kg B. subtilis and L. acidophilus mixture powder (LD group), and basal diet supplementation with 500 mg/kg B. subtilis and L. acidophilus mixture powder (HD group), respectively. The results indicated that the dietary supplementation with L. acidophilus and B. subtilis increased the integrity of the intestinal barrier as evidenced by the significant increase in the number of ileal goblet cells and improve the expression of occludin, claudin-1, and ZO-1 genes in the HD group. Moreover, the levels of IL-6, TNF-α, and IFN-γ were significantly decreased in the LD and HD groups. The levels of immunoglobulin G (IgG) increased in the LD and HD group, and the levels of secretory immunoglobulin A (sIgA) increased with the HD treatment. Furthermore, 16 s rRNA sequencing revealed L. acidophilus in combination with B. subtilis increased the diversity of gut microbiota. The metabolomic analysis revealed beneficial changes in the amino acid metabolism and lipid metabolism (decrease in LysoPC and LysoPE levels). In conclusion, dietary supplementation with L. acidophilus and B. subtilis could improve intestinal barrier function and maintain immune homeostasis. These beneficial effects may be associated with the modulation of the intestinal microbiome and metabolites.
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Affiliation(s)
- Xin Chen
- Centre for Food Nutrition and Functional Food Engineering, School of Food Science and Technology, Jiangnan University, Jiangsu, 214122, China
| | - Weiwen Chen
- Centre for Food Nutrition and Functional Food Engineering, School of Food Science and Technology, Jiangnan University, Jiangsu, 214122, China
| | - Wenjia Ci
- Centre for Food Nutrition and Functional Food Engineering, School of Food Science and Technology, Jiangnan University, Jiangsu, 214122, China
| | - Yingying Zheng
- Centre for Food Nutrition and Functional Food Engineering, School of Food Science and Technology, Jiangnan University, Jiangsu, 214122, China
| | - Xinyan Han
- Key Laboratory of Animal Nutrition and Feed Science in East China, Ministry of Agriculture, College of Animal Science, Zhejiang University, Hangzhou, 310058, China
| | - Jianping Huang
- Food Processing Technology Laboratory, School of Food Science and Technology, Jiangnan University, Jiangsu, 214122, China
| | - Jianjin Zhu
- Centre for Food Nutrition and Functional Food Engineering, School of Food Science and Technology, Jiangnan University, Jiangsu, 214122, China.
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26
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Biomarker profiling of postmortem blood for diabetes mellitus and discussion of possible applications of metabolomics for forensic casework. Int J Legal Med 2022; 136:1075-1090. [DOI: 10.1007/s00414-021-02767-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 12/14/2021] [Indexed: 10/19/2022]
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27
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He Y, Zhang H, Yang Y, Yu X, Zhang X, Xing Q, Zhang G. Using Metabolomics in Diabetes Management with Traditional Chinese Medicine: A Review. THE AMERICAN JOURNAL OF CHINESE MEDICINE 2022; 49:1813-1837. [PMID: 34961417 DOI: 10.1142/s0192415x21500865] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The incidence of diabetes worldwide continues to rise, placing a huge economic and medical burden on human society. More than 90% of diabetic cases are type 2 diabetes (T2D). At present, the pathogenesis of T2D is not yet fully understood. Metabolomics uses high-resolution analytical techniques (typically NMR and MS) to help identify biomarkers associated with the risk of T2D and reveal potential pathogenesis. Many metabolites such as branched-chain amino acids (BCAAs), aromatic amino acids, glycine, 2-hydroxybutyric acid (2-HB), lysophosphatidylcholine (LPC) (18:2), and trehalose have proven to be biomarkers of T2D. Insulin resistance (IR) induced by BCAA in T2D mice is related to the activation of mammalian target of rapamycin (mTOR) and phosphorylation of insulin receptor substrate-1 (IRS1). Incomplete LCFA [Formula: see text]-oxidation promote acylcarnitine byproduct accumulation and stimulates proinflammatory NF[Formula: see text]B-related pathways to inhibit insulin action. Traditional Chinese Medicine (TCM) presents unique advantages in the treatment of T2D. Multiple metabolites and metabolic pathways have been identified in the treatment of TCM, providing valuable biomarkers and novel targets for drug therapy and pharmacological mechanism. Therefore, this paper reviews the modern achievements of metabolomics in T2D research and the progress of TCM management in recent years, in order to provide valuable information for related research.
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Affiliation(s)
- Yanling He
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China
| | - Hefang Zhang
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China.,Department of Endocrinology, First Affiliated Hospital of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050011, P. R. China
| | - Yufei Yang
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China
| | - Xianghui Yu
- Department of Endocrinology, First Affiliated Hospital of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050011, P. R. China
| | - Xiao Zhang
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China
| | - Qiaolin Xing
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China
| | - Gengliang Zhang
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China.,Department of Endocrinology, First Affiliated Hospital of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050011, P. R. China
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Pigsborg K, Gürdeniz G, Rangel-Huerta OD, Holven KB, Dragsted LO, Ulven SM. Effects of changing from a diet with saturated fat to a diet with n-6 polyunsaturated fat on the serum metabolome in relation to cardiovascular disease risk factors. Eur J Nutr 2022; 61:2079-2089. [PMID: 34999928 PMCID: PMC9106625 DOI: 10.1007/s00394-021-02796-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 12/21/2021] [Indexed: 11/27/2022]
Abstract
Purpose Replacing saturated fatty acids (SFA) with polyunsaturated fatty acids (PUFA) is associated with a reduced risk of cardiovascular disease. Yet, the changes in the serum metabolome after this replacement is not well known. Therefore, the present study aims to identify the metabolites differentiating diets where six energy percentage SFA is replaced with PUFA and to elucidate the association of dietary metabolites with cardiometabolic risk markers. Methods In an 8-week, double-blind, randomized, controlled trial, 99 moderately hyper-cholesterolemic adults (25–70 years) were assigned to a control diet (C-diet) or an experimental diet (Ex-diet). Both groups received commercially available food items with different fatty acid compositions. In the Ex-diet group, products were given where SFA was replaced mostly with n-6 PUFA. Fasting serum samples were analysed by untargeted ultra-performance liquid chromatography high-resolution mass spectrometry (UPLC-HRMS). Pre-processed data were analysed by double cross-validated Partial Least-Squares Discriminant Analysis (PLS-DA) to detect features differentiating the two diet groups. Results PLS-DA differentiated the metabolic profiles of the Ex-diet and the C-diet groups with an area under the curve of 0.83. The Ex-diet group showed higher levels of unsaturated phosphatidylcholine plasmalogens, an unsaturated acylcarnitine, and a secondary bile acid. The C-diet group was characterized by odd-numbered phospholipids and a saturated acylcarnitine. The Principal Component analysis scores of the serum metabolic profiles characterizing the diets were significantly associated with low-density lipoprotein cholesterol, total cholesterol, and triglyceride levels but not with glycaemia. Conclusion The serum metabolic profiles confirmed the compliance of the participants based on their diet-specific metabolome after replacing SFA with mostly n-6 PUFA. The participants' metabolic profiles in response to the change in diet were associated with cardiovascular disease risk markers. This study was registered at clinicaltrials.gov as NCT 01679496 on September 6th 2012. Supplementary Information The online version contains supplementary material available at 10.1007/s00394-021-02796-6.
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Affiliation(s)
- Kristina Pigsborg
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg, Denmark.
| | - Gözde Gürdeniz
- Department of Food Science, University of Copenhagen, Frederiksberg, Denmark
| | | | - Kirsten B Holven
- Department of Nutrition, Institute for Basic Medical Sciences, University of Oslo, Oslo, Norway.,Norwegian National Advisory Unit On Familial Hypercholesterolemia, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Aker, Nydalen, PO Box 4959, 0424, Oslo, Norway
| | - Lars Ove Dragsted
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg, Denmark
| | - Stine M Ulven
- Department of Nutrition, Institute for Basic Medical Sciences, University of Oslo, Oslo, Norway
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29
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Gong P, Wang M, Yang W, Chang X, Wang L, Chen F. Integrated metabolomics coupled with pattern recognition and pathway analysis to reveal molecular mechanism of cadmium-induced diabetic nephropathy. Toxicol Res (Camb) 2021; 10:777-791. [PMID: 34484669 DOI: 10.1093/toxres/tfab059] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/28/2021] [Accepted: 06/06/2021] [Indexed: 12/16/2022] Open
Abstract
Diabetic nephropathy (DN) is becoming a worldwide public health problem and its pathophysiological mechanism is not well understood. Emerging evidences indicated that cadmium (Cd), an industrial material but also an environmental toxin, may be involved in the development and progression of diabetes and diabetes-related kidney disease. However, the underlying mechanism is still unclear. Herein, a DN animal model was constructed by exposing to Cd, the metabolomic profiling of DN mice were obtained by using ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS), pattern recognition and pathway analysis were performed to screen potential biomarker. Moreover, western blotting was employed to verify the possible mechanism involved in the occurrence of Cd-induced DN. A total of 66 metabolites in serum have been screened out and identified as biomarkers, including free fatty acids, phospholipids, sphingomyelins, glycerides, and others. Significant differences were demonstrated between the metabolic profiles, including decreased levels of phospholipid and increased content of triglyceride, diacylglycerols, ceramide, lysophosphatidylcholine in Cd-induced DN mice compared with control. Protein expression level of p38 MAPK and Wnt/β-catenin were significantly increased. UPLC-Q-TOF/MS-based serum metabolomics coupled with pattern recognition methods and pathway analysis provide a powerful approach to identify potential biomarkers and is a new strategy to predict the underlying mechanism of disease caused by environmental toxicant.
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Affiliation(s)
- Pin Gong
- School of Food and Biotechnology, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Mengrao Wang
- School of Food and Biotechnology, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Wenjuan Yang
- School of Food and Biotechnology, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Xiangna Chang
- School of Food and Biotechnology, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Lan Wang
- School of Food and Biotechnology, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Fuxin Chen
- School of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, China
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30
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Moroccan antidiabetic medicinal plants: Ethnobotanical studies, phytochemical bioactive compounds, preclinical investigations, toxicological validations and clinical evidences; challenges, guidance and perspectives for future management of diabetes worldwide. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.03.032] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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31
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Oxidative Stress Biomarkers in the Relationship between Type 2 Diabetes and Air Pollution. Antioxidants (Basel) 2021; 10:antiox10081234. [PMID: 34439482 PMCID: PMC8388875 DOI: 10.3390/antiox10081234] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 07/27/2021] [Indexed: 12/21/2022] Open
Abstract
The incidence and prevalence of type 2 diabetes have increased in the last decades and are expected to further grow in the coming years. Chronic hyperglycemia triggers free radical generation and causes increased oxidative stress, affecting a number of molecular mechanisms and cellular pathways, including the generation of advanced glycation end products, proinflammatory and procoagulant effects, induction of apoptosis, vascular smooth-muscle cell proliferation, endothelial and mitochondrial dysfunction, reduction of nitric oxide release, and activation of protein kinase C. Among type 2 diabetes determinants, many data have documented the adverse effects of environmental factors (e.g., air pollutants) through multiple exposure-induced mechanisms (e.g., systemic inflammation and oxidative stress, hypercoagulability, and endothelial and immune responses). Therefore, here we discuss the role of air pollution in oxidative stress-related damage to glycemic metabolism homeostasis, with a particular focus on its impact on health. In this context, the improvement of new advanced tools (e.g., omic techniques and the study of epigenetic changes) may provide a substantial contribution, helping in the evaluation of the individual in his biological totality, and offer a comprehensive assessment of the molecular, clinical, environmental, and epidemiological aspects.
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32
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Chronic Effect of a Cafeteria Diet and Intensity of Resistance Training on the Circulating Lysophospholipidome in Young Rats. Metabolites 2021; 11:metabo11080471. [PMID: 34436412 PMCID: PMC8398762 DOI: 10.3390/metabo11080471] [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: 05/15/2021] [Revised: 07/19/2021] [Accepted: 07/19/2021] [Indexed: 12/02/2022] Open
Abstract
The daily practice of physical exercise and a balanced diet are recommended to prevent metabolic syndrome (MetS). As MetS is a multifactorial disorder associated with the development of serious diseases, the advancement of comprehensive biomarkers could aid in an accurate diagnosis. In this regard, it is known that gut microbiota is altered in MetS, and especially, lipid metabolites species are highly modified, thus emerging as potential biomarkers. In preliminary studies, we observed that alterations in serum lysoglycerophospholipids (Lyso-PLs) were shared between animals with diet-induced MetS and those performing resistance exercises assiduously. Therefore, our objective was the targeted determination of the lysophospholipidome in young rats fed a standard (ST) or a cafeteria diet (CAF) and submitted to different training intensities to evaluate its potential as a biomarker of a detrimental lifestyle. Targeted metabolomics focused on lysophosphatidylcholines (Lyso-PCs) and lysophosphatidylethanolamines (Lyso-PEs) and multivariate statistics were used to achieve an integral understanding. Chronic intake of CAF altered the serological levels of both lipid subclasses. Twenty-two Lyso-PLs were significantly altered by CAF, from which we selected Lyso-PCs (14:0), (17:1) and (20:2) and Lyso-PEs (18:2) and (18:3) as they were enough to achieve an optimal prediction. The main effect of physical training was decreased Lyso-PEs levels with disparities among training intensities for each diet. We concluded that an examination of the lysophospholipidome reveals the general state of the metabolome in young female rats, especially due to intake of an MetS-inducing diet, thus highlighting the importance of this family of compounds in lipid disorders.
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33
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Tumor risk biomarkers and physical activity in type 2 diabetes, patients with colorectal cancer and individuals without diabetes. ENDOCRINE AND METABOLIC SCIENCE 2021. [DOI: 10.1016/j.endmts.2021.100091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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34
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Cai F, Ren F, Zhang Y, Ding X, Fu G, Ren D, Yang L, Chen N, Shang Y, Hu Y, Yi L, Zhang H. Screening of lipid metabolism biomarkers in patients with coronary heart disease via ultra-performance liquid chromatography-high resolution mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2021; 1169:122603. [PMID: 33690078 DOI: 10.1016/j.jchromb.2021.122603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 02/09/2021] [Accepted: 02/13/2021] [Indexed: 12/27/2022]
Abstract
Coronary heart disease (CHD) has a high mortality worldwide. This study aimed to screen lipid metabolism biomarkers in patients with coronary heart disease via ultra-performance liquid chromatography-high resolution mass spectrometry. Extraction and reconstitution solvents, liquid chromatographic and mass spectrometry conditions were optimized to detect more plasma lipid metabolites. In this study, the chromatographic and mass spectra characteristics of lipid metabolites were summarized. A total of 316 lipid metabolites were annotated via diagnostic fragment ion filtration, nitrogen rule filtration, and neutral loss filtration. Glycerophospholipid metabolism and sphingolipid metabolism were revealed as the main lipid disorders of CHD. This study provides a novel insight for high-throughput detection of lipid metabolites in plasma and provides a further understanding of the occurrence of CHD, which can provide valuable suggestions for the prevention of CHD.
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Affiliation(s)
- Fang Cai
- Faculty of Agriculture and Food Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China
| | - Fandong Ren
- Faculty of Agriculture and Food Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China
| | - Yunmei Zhang
- Department of Cardiology, Yunnan First People's Hospital, Kunming 650032, China
| | - Xiaoxue Ding
- Department of Cardiology, Yunnan First People's Hospital, Kunming 650032, China
| | - Guanghui Fu
- School of Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China
| | - Dabing Ren
- Faculty of Agriculture and Food Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China
| | - Lijuan Yang
- Faculty of Agriculture and Food Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China
| | - Ning Chen
- Faculty of Agriculture and Food Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China
| | - Ying Shang
- Faculty of Agriculture and Food Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China
| | - Yongdan Hu
- Faculty of Agriculture and Food Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China
| | - Lunzhao Yi
- Faculty of Agriculture and Food Science, Kunming University of Science and Technology, Yunnan, Kunming 650500, China.
| | - Hong Zhang
- Department of Cardiology, Yunnan First People's Hospital, Kunming 650032, China.
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35
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Amin AM. The metabolic signatures of cardiometabolic diseases: Does the shared metabotype offer new therapeutic targets? LIFESTYLE MEDICINE 2021. [DOI: 10.1002/lim2.25] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Arwa M. Amin
- Department of Clinical and Hospital Pharmacy College of Pharmacy Taibah University Medina Saudi Arabia
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36
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Aleidi SM, Dahabiyeh LA, Gu X, Al Dubayee M, Alshahrani A, Benabdelkamel H, Mujammami M, Li L, Aljada A, Abdel Rahman AM. Obesity Connected Metabolic Changes in Type 2 Diabetic Patients Treated With Metformin. Front Pharmacol 2021; 11:616157. [PMID: 33664666 PMCID: PMC7921791 DOI: 10.3389/fphar.2020.616157] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 12/30/2020] [Indexed: 12/13/2022] Open
Abstract
Metformin is widely used in the treatment of Type 2 Diabetes Mellitus (T2DM). However, it is known to have beneficial effects in many other conditions, including obesity and cancer. In this study, we aimed to investigate the metabolic effect of metformin in T2DM and its impact on obesity. A mass spectrometry (MS)-based metabolomics approach was used to analyze samples from two cohorts, including healthy lean and obese control, and lean as well as obese T2DM patients on metformin regimen in the last 6 months. The results show a clear group separation and sample clustering between the study groups due to both T2DM and metformin administration. Seventy-one metabolites were dysregulated in diabetic obese patients (30 up-regulated and 41 down-regulated), and their levels were unchanged with metformin administration. However, 30 metabolites were dysregulated (21 were up-regulated and 9 were down-regulated) and then restored to obese control levels by metformin administration in obese diabetic patients. Furthermore, in obese diabetic patients, the level of 10 metabolites was dysregulated only after metformin administration. Most of these dysregulated metabolites were dipeptides, aliphatic amino acids, nucleic acid derivatives, and urea cycle components. The metabolic pattern of 62 metabolites was persistent, and their levels were affected by neither T2DM nor metformin in obesity. Interestingly, 9 metabolites were significantly dysregulated between lean and obese cohorts due to T2DM and metformin regardless of the obesity status. These include arginine, citrulline, guanidoacetic acid, proline, alanine, taurine, 5-hydroxyindoleacetic acid, and 5-hydroxymethyluracil. Understanding the metabolic alterations taking place upon metformin treatment would shed light on possible molecular targets of metformin, especially in conditions like T2DM and obesity.
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Affiliation(s)
- Shereen M Aleidi
- Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, The University of Jordan, Amman, Jordan
| | - Lina A Dahabiyeh
- Department of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman, Jordan
| | - Xinyun Gu
- Department of Chemistry, University of Alberta, Edmonton, AB, Canada
| | - Mohammed Al Dubayee
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Awad Alshahrani
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Hicham Benabdelkamel
- Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad Mujammami
- Endocrinology and Diabetes Unit, Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia.,University Diabetes Center, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia
| | - Liang Li
- Department of Chemistry, University of Alberta, Edmonton, AB, Canada
| | - Ahmad Aljada
- Department of Biochemistry and Molecular Medicine, College of Medicine, Al Faisal University, Riyadh, Saudi Arabia
| | - Anas M Abdel Rahman
- Department of Biochemistry and Molecular Medicine, College of Medicine, Al Faisal University, Riyadh, Saudi Arabia.,Metabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.,Department of Chemistry, Memorial University of Newfoundland, St. John's, NL, Canada
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37
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Müllner E, Röhnisch HE, von Brömssen C, Moazzami AA. Metabolomics analysis reveals altered metabolites in lean compared with obese adolescents and additional metabolic shifts associated with hyperinsulinaemia and insulin resistance in obese adolescents: a cross-sectional study. Metabolomics 2021; 17:11. [PMID: 33438144 PMCID: PMC7803706 DOI: 10.1007/s11306-020-01759-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 12/09/2020] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Hyperinsulinaemia and insulin resistance (IR) are strongly associated with obesity and are forerunners of type 2 diabetes. Little is known about metabolic alterations separately associated with obesity, hyperinsulinaemia/IR and impaired glucose tolerance (IGT) in adolescents. OBJECTIVES To identify metabolic alterations associated with obesity, hyperinsulinaemia/IR and hyperinsulinaemia/IR combined with IGT in obese adolescents. METHODS 81 adolescents were stratified into four groups based on body mass index (lean vs. obese), insulin responses (normal insulin (NI) vs. high insulin (HI)) and glucose responses (normal glucose tolerance (NGT) vs. IGT) after an oral glucose tolerance test (OGTT). The groups comprised: (1) healthy lean with NI and NGT, (2) obese with NI and NGT, (3) obese with HI and NGT, and (4) obese with HI and IGT. Targeted nuclear magnetic resonance-based metabolomics analysis was performed on fasting and seven post-OGTT plasma samples, followed by univariate and multivariate statistical analyses. RESULTS Two groups of metabolites were identified: (1) Metabolites associated with insulin response level: adolescents with HI (groups 3-4) had higher concentrations of branched-chain amino acids and tyrosine, and lower concentrations of serine, glycine, myo-inositol and dimethylsulfone, than adolescents with NI (groups 1-2). (2) Metabolites associated with obesity status: obese adolescents (groups 2-4) had higher concentrations of acetylcarnitine, alanine, pyruvate and glutamate, and lower concentrations of acetate, than lean adolescents (group 1). CONCLUSIONS Obesity is associated with shifts in fat and energy metabolism. Hyperinsulinaemia/IR in obese adolescents is also associated with increased branched-chain and aromatic amino acids.
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Affiliation(s)
- Elisabeth Müllner
- Department of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Hanna E Röhnisch
- Department of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Claudia von Brömssen
- Department of Energy and Technology, Unit of Applied Statistics and Mathematics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Ali A Moazzami
- Department of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
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Wang M, Xu J, Yang N, Zhang T, Zhu H, Wang J. Insight Into the Metabolomic Characteristics of Post-Transplant Diabetes Mellitus by the Integrated LC-MS and GC-MS Approach- Preliminary Study. Front Endocrinol (Lausanne) 2021; 12:807318. [PMID: 35116008 PMCID: PMC8805207 DOI: 10.3389/fendo.2021.807318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/29/2021] [Indexed: 11/16/2022] Open
Abstract
Post-transplantation diabetes mellitus (PTDM) is a common metabolic complication after solid organ transplantation, which not only results in elevated microvascular morbidity, but also seriously impacts graft function and recipient survival. However, its underlying mechanism is not yet fully understood. In this study, an integrated liquid chromatography- mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) based-metabolomics approach was adopted to dissect the metabolic fluctuations and deduce potential mechanism associated with PTDM. 68 adult liver transplant recipients were recruited and classified as 32 PTDM and 36 non-PTDM subjects. PTDM group and non-PTDM group were well matched in gender, age, BMI, family history of diabetes, alcohol drinking history, ICU length of stay and hepatitis B infection. Peripheral blood samples from these recipients were collected and prepared for instrument analysis. Data acquired from LC-MS and GC-MS demonstrated significant metabolome alterations between PTDM and non-PTDM subjects. A total of 30 differential metabolites (15 from LC-MS, 15 from GC-MS) were screened out. PTDM patients, compared with non-PTDM subjects, were characterized with increased levels of L-leucine, L-phenylalanine, LysoPE (16:0), LysoPE (18:0), LysoPC (18:0), taurocholic acid, glycocholic acid, taurochenodeoxycholic acid, tauroursodeoxycholic acid, glycochenodeoxycholic acid, glycoursodeoxycholic acid, etc, and with decreased levels of LysoPC (16:1), LysoPC (18:2), LysoPE (22:6), LysoPC (20:4), etc. Taken collectively, this study demonstrated altered metabolites in patients with PTDM, which would provide support for enhancing mechanism exploration, prediction and treatment of PTDM.
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Affiliation(s)
- Min Wang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jie Xu
- Physical and Chemical Department, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Na Yang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Tianqi Zhang
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Huaijun Zhu
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
- *Correspondence: Huaijun Zhu, ; Jing Wang,
| | - Jing Wang
- College of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China
- *Correspondence: Huaijun Zhu, ; Jing Wang,
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Long J, Yang Z, Wang L, Han Y, Peng C, Yan C, Yan D. Metabolite biomarkers of type 2 diabetes mellitus and pre-diabetes: a systematic review and meta-analysis. BMC Endocr Disord 2020; 20:174. [PMID: 33228610 PMCID: PMC7685632 DOI: 10.1186/s12902-020-00653-x] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 11/16/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND We aimed to explore metabolite biomarkers that could be used to identify pre-diabetes and type 2 diabetes mellitus (T2DM) using systematic review and meta-analysis. METHODS Four databases, the Cochrane Library, EMBASE, PubMed and Scopus were selected. A random effect model and a fixed effect model were applied to the results of forest plot analyses to determine the standardized mean difference (SMD) and 95% confidence interval (95% CI) for each metabolite. The SMD for every metabolite was then converted into an odds ratio to create an metabolite biomarker profile. RESULTS Twenty-four independent studies reported data from 14,131 healthy individuals and 3499 patients with T2DM, and 14 included studies reported 4844 healthy controls and a total of 2139 pre-diabetes patients. In the serum and plasma of patients with T2DM, compared with the healthy participants, the concentrations of valine, leucine, isoleucine, proline, tyrosine, lysine and glutamate were higher and that of glycine was lower. The concentrations of isoleucine, alanine, proline, glutamate, palmitic acid, 2-aminoadipic acid and lysine were higher and those of glycine, serine, and citrulline were lower in prediabetic patients. Metabolite biomarkers of T2DM and pre-diabetes revealed that the levels of alanine, glutamate and palmitic acid (C16:0) were significantly different in T2DM and pre-diabetes. CONCLUSIONS Quantified multiple metabolite biomarkers may reflect the different status of pre-diabetes and T2DM, and could provide an important reference for clinical diagnosis and treatment of pre-diabetes and T2DM.
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Affiliation(s)
- Jianglan Long
- Beijing Key Laboratory and Joint Laboratory for International Cooperation of Bio-characteristic Profiling for Evaluation of Rational Drug Use, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China
| | - Zhirui Yang
- Beijing Key Laboratory and Joint Laboratory for International Cooperation of Bio-characteristic Profiling for Evaluation of Rational Drug Use, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China
| | - Long Wang
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Yumei Han
- Beijing Physical Examination Center, Beijing, 100077, China
| | - Cheng Peng
- Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China
| | - Can Yan
- Guangzhou University of Chinese Medicine, Guangzhou, 510006, China.
| | - Dan Yan
- Beijing Key Laboratory and Joint Laboratory for International Cooperation of Bio-characteristic Profiling for Evaluation of Rational Drug Use, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.
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40
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Han D, Shi L, Pan H. Plasma metabolomics analysis of the effects of drinking soda water on hyperglycemia mice using ultrahigh-pressure liquid chromatography-quadrupole-time of flight-mass spectrometry. Biomed Chromatogr 2020; 35:e5032. [PMID: 33220100 DOI: 10.1002/bmc.5032] [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: 08/05/2020] [Revised: 11/12/2020] [Accepted: 11/17/2020] [Indexed: 11/09/2022]
Abstract
The aim of this study was to evaluate the effects of a natural soda water [Shi Han Quan (SHQ)] on hyperglycemia and plasma metabolic profiling and explore the mechanism using metabolomics techniques. Kun-Ming mice weighing 26 ± 2 g were used for the hyperglycemia animal model with alloxan and divided into control, hyperglycemia (HG), and HG + SHQ soda water (SHQ) groups. The experiment lasted for 30 days. The plasma metabolomic profiling of mice was determined using ultrahigh-pressure liquid chromatography-quadrupole-time of flight-mass spectrometry. After the mice drank SHQ soda water, the levels of insulin and blood glucose were significantly lower in the SHQ group compared with the control group, and the level of insulin sensitivity [insulin sensitivity index (ISI)] was significantly higher in the SHQ group compared with the HG group. The mice in the different groups after SHQ intervention could be separated into distinct clusters, and nine major plasma metabolites with significant differences between groups were found closely associated with blood glucose and ISI. The metabolic pathway analysis of these metabolites involved abnormal fatty acid oxidation and phospholipid, acylcarnitine, and corticoid metabolism. The results suggested the metabolic changes and possible mechanism of SHQ improving the alloxan-induced HG, and the findings provided insights into the prevention and control of HG and diabetes.
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Affiliation(s)
- Dan Han
- College of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Litian Shi
- Harbin Greenstone Water Research Institute, Harbin, China
| | - Hongzhi Pan
- Collaborative Scientific Research Center, Shanghai University of Medicine & Health Sciences, Shanghai, China
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41
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Jimenez-Luna C, Martin-Blazquez A, Dieguez-Castillo C, Diaz C, Martin-Ruiz JL, Genilloud O, Vicente F, del Palacio JP, Prados J, Caba O. Novel Biomarkers to Distinguish between Type 3c and Type 2 Diabetes Mellitus by Untargeted Metabolomics. Metabolites 2020; 10:metabo10110423. [PMID: 33105675 PMCID: PMC7690399 DOI: 10.3390/metabo10110423] [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: 09/22/2020] [Revised: 10/16/2020] [Accepted: 10/20/2020] [Indexed: 01/05/2023] Open
Abstract
Pancreatogenic diabetes mellitus (T3cDM) is a highly frequent complication of pancreatic disease, especially chronic pancreatitis, and it is often misdiagnosed as type 2 diabetes mellitus (T2DM). A correct diagnosis allows the appropriate treatment of these patients, improving their quality of life, and various technologies have been employed over recent years to search for specific biomarkers of each disease. The main aim of this metabolomic project was to find differential metabolites between T3cDM and T2DM. Reverse-phase liquid chromatography coupled to high-resolution mass spectrometry was performed in serum samples from patients with T3cDM and T2DM. Multivariate Principal Component and Partial Least Squares-Discriminant analyses were employed to evaluate between-group variations. Univariate and multivariate analyses were used to identify potential candidates and the area under the receiver-operating characteristic (ROC) curve was calculated to evaluate their diagnostic value. A panel of five differential metabolites obtained an area under the ROC curve of 0.946. In this study, we demonstrate the usefulness of untargeted metabolomics for the differential diagnosis between T3cDM and T2DM and propose a panel of five metabolites that appear altered in the comparison between patients with these diseases.
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Affiliation(s)
- Cristina Jimenez-Luna
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18012 Granada, Spain; (C.J.-L.); (J.P.); (O.C.)
| | - Ariadna Martin-Blazquez
- Fundación MEDINA, Centro de Excelencia para la Investigación en Medicamentos Innovadores en Andalucía, 18012 Granada, Spain; (A.M.-B.); (C.D.); (O.G.); (F.V.)
| | - Carmelo Dieguez-Castillo
- Department of Gastroenterology, San Cecilio University Hospital, 18012 Granada, Spain; (C.D.-C.), (J.L.M.-R.)
| | - Caridad Diaz
- Fundación MEDINA, Centro de Excelencia para la Investigación en Medicamentos Innovadores en Andalucía, 18012 Granada, Spain; (A.M.-B.); (C.D.); (O.G.); (F.V.)
| | - Jose Luis Martin-Ruiz
- Department of Gastroenterology, San Cecilio University Hospital, 18012 Granada, Spain; (C.D.-C.), (J.L.M.-R.)
| | - Olga Genilloud
- Fundación MEDINA, Centro de Excelencia para la Investigación en Medicamentos Innovadores en Andalucía, 18012 Granada, Spain; (A.M.-B.); (C.D.); (O.G.); (F.V.)
| | - Francisca Vicente
- Fundación MEDINA, Centro de Excelencia para la Investigación en Medicamentos Innovadores en Andalucía, 18012 Granada, Spain; (A.M.-B.); (C.D.); (O.G.); (F.V.)
| | - Jose Perez del Palacio
- Fundación MEDINA, Centro de Excelencia para la Investigación en Medicamentos Innovadores en Andalucía, 18012 Granada, Spain; (A.M.-B.); (C.D.); (O.G.); (F.V.)
- Correspondence: ; Tel.: +34-958-993965
| | - Jose Prados
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18012 Granada, Spain; (C.J.-L.); (J.P.); (O.C.)
| | - Octavio Caba
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18012 Granada, Spain; (C.J.-L.); (J.P.); (O.C.)
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42
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Chen Z, Liang Q, Wu Y, Gao Z, Kobayashi S, Patel J, Li C, Cai F, Zhang Y, Liang C, Chiba H, Hui SP. Comprehensive lipidomic profiling in serum and multiple tissues from a mouse model of diabetes. Metabolomics 2020; 16:115. [PMID: 33067714 DOI: 10.1007/s11306-020-01732-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 09/28/2020] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Diabetes mellitus is a serious metabolic disorder causing multiple organ damage in human. However, the lipidomic profiles in different organs and their associations are rarely studied in either diabetic patients or animals. OBJECTIVES To evaluate and compare the characteristics of lipid species in serum and multiple tissues in a diabetic mouse model. METHODS Semi-quantitative profiling analyses of intact and oxidized lipids were performed in serum and multiple tissues from a diabetic mouse model fed a high fat diet and treated with streptozotocin by using LC/HRMS and MS/MS. The total content of each lipid class, and the tissue-specific lipid species in all tissue samples were determined and compared by multivariate analyses. RESULTS The diabetic mouse model displayed characteristic differences in serum and multiple organs: the brain and heart showed the largest reduction in cardiolipin, while the kidney had more alterations in triacylglycerol. Interestingly, the lipidomic differences also existed between different regions of the same organ: cardiolipin species with highly polyunsaturated fatty acyls decreased only in atrium but not in ventricle, while renal cortex showed longer fatty acyl chains for both increased and decreased triacylglycerol species than renal medulla. Importantly, diabetes caused an accumulation of lipid hydroperoxides, suggesting that oxidative stress was induced in all organs except for the brain during the development of diabetes. CONCLUSIONS These findings provided novel insight into the organ-specific relationship between diabetes and lipid metabolism, which might be useful for evaluating not only diabetic tissue injury but also the effectiveness of diabetic treatments.
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Affiliation(s)
- Zhen Chen
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo, 060-0812, Japan
| | - Qiangrong Liang
- Department of Biomedical Sciences, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, NY, 11548, USA
| | - Yue Wu
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo, 060-0812, Japan
| | - Zijun Gao
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo, 060-0812, Japan
| | - Satoru Kobayashi
- Department of Biomedical Sciences, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, NY, 11548, USA
| | - Joy Patel
- Department of Biomedical Sciences, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, NY, 11548, USA
| | - Cairong Li
- Clinical Medical College, Hubei University of Science and Technology, 437100, Xianning, China
| | - Fei Cai
- Hubei Key Laboratory of Diabetes and Angiopathy, Hubei University of Science and Technology, 437100, Xianning, China
| | - Youhua Zhang
- Department of Biomedical Sciences, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, NY, 11548, USA
| | - Chongsheng Liang
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo, 060-0812, Japan
| | - Hitoshi Chiba
- Department of Nutrition, Sapporo University of Health Sciences, Nakanuma Nishi-4-2-1-15, Higashi, Sapporo, 007-0894, Japan
| | - Shu-Ping Hui
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo, 060-0812, Japan.
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Linke V, Overmyer KA, Miller IJ, Brademan DR, Hutchins PD, Trujillo EA, Reddy TR, Russell JD, Cushing EM, Schueler KL, Stapleton DS, Rabaglia ME, Keller MP, Gatti DM, Keele GR, Pham D, Broman KW, Churchill GA, Attie AD, Coon JJ. A large-scale genome-lipid association map guides lipid identification. Nat Metab 2020; 2:1149-1162. [PMID: 32958938 PMCID: PMC7572687 DOI: 10.1038/s42255-020-00278-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 08/11/2020] [Indexed: 12/13/2022]
Abstract
Despite the crucial roles of lipids in metabolism, we are still at the early stages of comprehensively annotating lipid species and their genetic basis. Mass spectrometry-based discovery lipidomics offers the potential to globally survey lipids and their relative abundances in various biological samples. To discover the genetics of lipid features obtained through high-resolution liquid chromatography-tandem mass spectrometry, we analysed liver and plasma from 384 diversity outbred mice, and quantified 3,283 molecular features. These features were mapped to 5,622 lipid quantitative trait loci and compiled into a public web resource termed LipidGenie. The data are cross-referenced to the human genome and offer a bridge between genetic associations in humans and mice. Harnessing this resource, we used genome-lipid association data as an additional aid to identify a number of lipids, for example gangliosides through their association with B4galnt1, and found evidence for a group of sex-specific phosphatidylcholines through their shared locus. Finally, LipidGenie's ability to query either mass or gene-centric terms suggests acyl-chain-specific functions for proteins of the ABHD family.
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Affiliation(s)
- Vanessa Linke
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Katherine A Overmyer
- Morgridge Institute for Research, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Ian J Miller
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Dain R Brademan
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Paul D Hutchins
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Edna A Trujillo
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Thiru R Reddy
- Morgridge Institute for Research, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Emily M Cushing
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Kathryn L Schueler
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Donald S Stapleton
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Mary E Rabaglia
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Mark P Keller
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | - Duy Pham
- The Jackson Laboratory, Bar Harbor, ME, USA
| | - Karl W Broman
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Alan D Attie
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
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44
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Wang Z, Zhao P, Zhang Y, Shi S, Chen X. The hepatoprotective effect and mechanism of lotus leaf on liver injury induced by Genkwa Flos. J Pharm Pharmacol 2020; 72:1909-1920. [PMID: 32979237 DOI: 10.1111/jphp.13355] [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: 02/07/2020] [Accepted: 07/15/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVES As a traditional Chinese medicine, lotus leaf was reported to have significant hepatoprotective effect. To explore the hepatoprotective mechanism of lotus leaf, a rapid and reliable UPLC-MS/MS method was conducted to simultaneously determine six specific endogenous substances including 5-oxoproline, phenylalanine, tryptophan, C18 -phytosphingosine, lysophosphatidylcholine (16 : 0) and lysophosphatidylcholine (18 : 1). METHODS With the help of HPLC-FT-ICR-MS, the chemical constituents of louts leaf extract were elucidated. By observing histopathological changes and determining hepatotoxicity-related biochemical indicators, rat model of liver injury was developed and the hepatoprotective effect of lotus leaf was verified. With the developed UPLC-MS/MS method, six endogenous metabolites related to hepatotoxicity were monitored to investigate the hepatoprotective mechanism of lotus leaf. KEY FINDINGS In the qualitative analysis, a total of twenty compounds including ten flavonoids, nine alkaloids and one proanthocyanidin were identified. Based on the results of determining six endogenous metabolites related to hepatotoxicity, it was predicted that the hepatoprotective mechanism of lotus leaf might be related to glutathione metabolism, phenylalanine metabolism, tryptophan metabolism, sphingolipid metabolism and phospholipid metabolism. CONCLUSIONS This study could be a meaningful investigation to provide mechanistic insights into the hepatoprotective effect of lotus leaf and further lay a theoretical basis for the clinical application of lotus leaf.
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Affiliation(s)
- Zhipeng Wang
- Department of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China.,Department of Pharmacy, Hebei General Hospital, Shijiazhuang, China
| | - Panpan Zhao
- Department of Endocrinology and Metabolism, Hebei Provincial Chest Hospital, Shijiazhuang, China
| | - Yuanyuan Zhang
- Department of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
| | - Shan Shi
- Department of Pharmacy, the First Hospital of China Medical University, Shenyang, China
| | - Xiaohui Chen
- Department of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
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45
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Syed R, Jamil K, Asimuddin M, Alqahtani MS, Alshehri M, Mateen A, Wahab Ali Aduderman A, Ola MS, Malik A. Molecular & biochemical analysis of Pro12Ala variant of PPAR-γ2 gene in type 2 diabetes mellitus. Saudi J Biol Sci 2020; 27:2439-2443. [PMID: 32884427 PMCID: PMC7451741 DOI: 10.1016/j.sjbs.2020.06.046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 06/25/2020] [Accepted: 06/28/2020] [Indexed: 01/09/2023] Open
Abstract
Diabetes has emerged as a major threat to human life globally. Genomic studies have found a significant link between the Pro12Ala polymorphism of the PPAR-γ2 gene with incidence as well as occurrence of the risk of metabolic syndrome. The present study was aimed at assessing the PPAR-γ2 variant in an Asian Indian cohort of type 2 diabetes patients and its correlation with metabolic parameters. The present case-control study involved 100 type 2 diabetic patients and 100 asymptomatic healthy volunteers enrolled in random. Assessment of demographic factors and biochemical parameters were done for all enrolled. In addition, genotyping for the Pro12Ala (CCA to GCA) polymorphism was done by polymerase chain reaction - restriction fragment length polymorphism (PCR-RFLP) technology. The genotyping study detected the frequency of the CC genotype (Pro12Pro) to be higher in frequency in comparison to the heterozygous CG genotype in both, cases and controls. The homozygous GG genotype (Ala12Ala) was not detected in any of the cases or controls assessed. Biochemical analysis of the levels of malondialdehyde (MDA) detected a significant increase (p < 0.0001). Additionally, increase in levels of fasting and postprandial glucose, total cholesterol, triglycerides, and parameters of the liver and renal function tests were detected. This study detected the PPAR-γ2 to be a significant biomarker for type 2 diabetes mellitus.
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Affiliation(s)
- Rabbani Syed
- Department of Pharmaceutics, College of Pharmacy, King Saud University, PO Box 2457, Riyadh 11451, Saudi Arabia
| | - Kaiser Jamil
- Genetics Department of Genetics, Bhagwan Mahavir Medical Research Centre, Hyderabad 500004, Telangana, India
| | - M Asimuddin
- Genetics Department of Genetics, Bhagwan Mahavir Medical Research Centre, Hyderabad 500004, Telangana, India
| | - Mohammed S Alqahtani
- Department of Pharmaceutics, College of Pharmacy, King Saud University, PO Box 2457, Riyadh 11451, Saudi Arabia
| | - Meshal Alshehri
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Ayesha Mateen
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Abdul Wahab Ali Aduderman
- Basic Medical Science Department, College of Medicine, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia
| | - Mohammad Shamsul Ola
- Department of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
| | - Abdul Malik
- Department of Pharmaceutics, College of Pharmacy, King Saud University, PO Box 2457, Riyadh 11451, Saudi Arabia
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Jiang Y, Zhang K, Zhu Z, Cui M, An Y, Wang Y, Suo C, Fan M, Jin L, Tian W, Chen X. Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study. Aging (Albany NY) 2020; 12:15302-15313. [PMID: 32645693 PMCID: PMC7467377 DOI: 10.18632/aging.103456] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 05/27/2020] [Indexed: 12/22/2022]
Abstract
Metabolomics provides a promising tool for understanding the pathophysiology and identifying biomarkers of atherosclerosis. We aimed to estimate the associations between circulating metabolites and subclinical atherosclerosis in a Chinese cohort. The baseline serum levels of 38 metabolites of 489 individuals were measured using nuclear magnetic resonance. Associations between metabolites and brachial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (IMT) were determined using a linear regression. A multivariate logistic regression was used to evaluate the associations of metabolites and subclinical atherosclerosis defined as high baPWV (>median) and increased IMT (>median). After adjusting for covariates and multiple testing corrections (false discovery rate; FDR), two branched-chain amino acids (BCAAs; leucine and isoleucine), one ketone (acetoacetate), and two lipids were positively associated with baPWV. Lactate was inversely associated with IMT. Elevated acetoacetate levels (odds ratio: 1.53, 95% confidence interval: 1.20-1.97; FDR <0.001) and four other lipid features were associated with an increased risk of high baPWV. Alterations in circulating lipids and BCAAs were associated with the risk of arterial stiffness in the middle-aged Chinese population. Our findings provide clues to understanding the potential mechanisms of subclinical atherosclerosis; however, further validation in a broader population context and the exploration of potential clinical applications are warranted.
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Affiliation(s)
- Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kexun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Zhen Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanpeng An
- Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Weizhong Tian
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
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Leuti A, Fazio D, Fava M, Piccoli A, Oddi S, Maccarrone M. Bioactive lipids, inflammation and chronic diseases. Adv Drug Deliv Rev 2020; 159:133-169. [PMID: 32628989 DOI: 10.1016/j.addr.2020.06.028] [Citation(s) in RCA: 165] [Impact Index Per Article: 41.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/09/2020] [Accepted: 06/25/2020] [Indexed: 02/08/2023]
Abstract
Endogenous bioactive lipids are part of a complex network that modulates a plethora of cellular and molecular processes involved in health and disease, of which inflammation represents one of the most prominent examples. Inflammation serves as a well-conserved defence mechanism, triggered in the event of chemical, mechanical or microbial damage, that is meant to eradicate the source of damage and restore tissue function. However, excessive inflammatory signals, or impairment of pro-resolving/anti-inflammatory pathways leads to chronic inflammation, which is a hallmark of chronic pathologies. All main classes of endogenous bioactive lipids - namely eicosanoids, specialized pro-resolving lipid mediators, lysoglycerophopsholipids and endocannabinoids - have been consistently involved in the chronic inflammation that characterises pathologies such as cancer, diabetes, atherosclerosis, asthma, as well as autoimmune and neurodegenerative disorders and inflammatory bowel diseases. This review gathers the current knowledge concerning the involvement of endogenous bioactive lipids in the pathogenic processes of chronic inflammatory pathologies.
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48
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Katakami N, Omori K, Taya N, Arakawa S, Takahara M, Matsuoka TA, Tsugawa H, Furuno M, Bamba T, Fukusaki E, Shimomura I. Plasma metabolites associated with arterial stiffness in patients with type 2 diabetes. Cardiovasc Diabetol 2020; 19:75. [PMID: 32527273 PMCID: PMC7291560 DOI: 10.1186/s12933-020-01057-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 06/08/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Although an increased arterial stiffness has been associated with traditional coronary risk factors, the risk factors and pathology of arterial stiffness remain unclear. In this study, we aimed to identify the plasma metabolites associated with arterial stiffness in patients with type 2 diabetes mellitus. METHODS We used the metabolomic data of 209 patients with type 2 diabetes as the first dataset for screening. To form the second dataset for validation, we enlisted an additional 31 individuals with type 2 diabetes. The non-targeted metabolome analysis of fasting plasma samples using gas chromatography coupled with mass spectrometry and the measurement of brachial-ankle pulse wave velocity (baPWV) were performed. RESULTS A total of 65 annotated metabolites were detected. In the screening dataset, there were statistically significant associations between the baPWV and plasma levels of indoxyl sulfate (r = 0.226, p = 0.001), mannitol (r = 0.178, p = 0.010), mesoerythritol (r = 0.234, p = 0.001), and pyroglutamic acid (r = 0.182, p = 0.008). Multivariate regression analyses revealed that the plasma levels of mesoerythritol were significantly (β = 0.163, p = 0.025) and that of indoxyl sulfate were marginally (β = 0.124, p = 0.076) associated with baPWV, even after adjusting for traditional coronary risk factors. In the independent validation dataset, there was a statistically significant association between the baPWV and plasma levels of indoxyl sulfate (r = 0.430, p = 0.016). However, significant associations between the baPWV and plasma levels of the other three metabolites were not confirmed. CONCLUSIONS/INTERPRETATION The plasma levels of indoxyl sulfate were associated with arterial stiffness in Japanese patients with type 2 diabetes. Although the plasma levels of mannitol, mesoerythritol, and pyroglutamic acid were also associated with arterial stiffness, further investigation is needed to verify the results.
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Affiliation(s)
- Naoto Katakami
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan. .,Department of Metabolism and Atherosclerosis, Osaka University Graduate School of Medicine, Osaka, Japan.
| | - Kazuo Omori
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Naohiro Taya
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Shoya Arakawa
- Laboratory of Bioresource Engineering, Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan
| | - Mitsuyoshi Takahara
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.,Department of Diabetes Care Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Taka-Aki Matsuoka
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Hiroshi Tsugawa
- RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa, Japan
| | - Masahiro Furuno
- Laboratory of Bioresource Engineering, Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan
| | - Takeshi Bamba
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Eiichiro Fukusaki
- Laboratory of Bioresource Engineering, Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan
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49
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Kukharenko A, Brito A, Kozhevnikova MV, Moskaleva N, Markin PA, Bochkareva N, Korobkova EO, Belenkov YN, Privalova EV, Larcova EV, Ariani A, La Frano MR, Appolonova SA. Relationship between the plasma acylcarnitine profile and cardiometabolic risk factors in adults diagnosed with cardiovascular diseases. Clin Chim Acta 2020; 507:250-256. [PMID: 32376321 DOI: 10.1016/j.cca.2020.04.035] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 04/13/2020] [Accepted: 04/27/2020] [Indexed: 11/26/2022]
Abstract
The development of cardiovascular diseases (CVDs) is often asymptomatic. Identification of initial indicators of cardiometabolic disruption may assist in its early detection. The objective was to determine the relationships between plasma acylcarnitines (ACs) and cardiometabolic risk factors in adults with and without CVDs. The AC profile in human plasma of healthy controls [non-CVD group, n = 13)] and individuals diagnosed with CVDs (CVD group, n = 34) were compared. A targeted analysis of 29 ACs was performed using flow injection analysis-tandem mass spectrometry. There were significant direct correlations (p < 0.05) between ACs and cardiometabolic risk factors. Comparing the groups after adjustment for covariates, showed that the ACs that were best differentiated (p < 0.05) between the two groups and that presented "good" diagnostic accuracy were carnitine [30.7 (25.5-37.7) vs. 37.7 (32.3-45.0) µM], the short-chain ACs: acetylcarnitine [8.9 (7.4-10.2) vs. 11.9 (9.2-14.4) µM] and isovalerylcarnitine [0.10 (0.06-0.13) vs. 0.13 (0.10-0.16) µM], and the medium-chain ACs: hexanoylcarnitine [0.04 (0.03-0.05) vs. 0.06 (0.05-0.07) µM] and decenoylcarnitine [0.18 (0.12-0.22) vs. 0.22 (0.17-0.32) µM]. This assessment contributes to the identification of the unique metabolic features exhibited in association with cardiometabolic risk in adults diagnosed with CVD. The altered metabolites have the potential to be used as biomarkers for early detection of CVD.
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Affiliation(s)
- Alexey Kukharenko
- Laboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow Medical University, Moscow, Russia
| | - Alex Brito
- Laboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow Medical University, Moscow, Russia; Luxembourg Institute of Health, Department of Population Health, Nutrition and Health Research Group, Luxembourg.
| | - Maria V Kozhevnikova
- Hospital Therapy N°1 Department, I.M. Sechenov First Moscow Medical University, Moscow, Russia
| | - Natalia Moskaleva
- Laboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow Medical University, Moscow, Russia
| | - Pavel A Markin
- Laboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow Medical University, Moscow, Russia
| | - Natalia Bochkareva
- Laboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow Medical University, Moscow, Russia
| | - Ekaterina O Korobkova
- Hospital Therapy N°1 Department, I.M. Sechenov First Moscow Medical University, Moscow, Russia
| | - Yuri N Belenkov
- Hospital Therapy N°1 Department, I.M. Sechenov First Moscow Medical University, Moscow, Russia
| | - Elena V Privalova
- Hospital Therapy N°1 Department, I.M. Sechenov First Moscow Medical University, Moscow, Russia
| | - Ekaterina V Larcova
- Center of Medical Rehabilitation, University Clinical Hospital N°2, I.M. Sechenov First Moscow Medical University, Moscow, Russia
| | - Andrea Ariani
- Basf - BBCC - Innovation Center Gent, Ghent, Belgium
| | - Michael R La Frano
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA; Center for Health Research, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Svetlana A Appolonova
- Laboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow Medical University, Moscow, Russia.
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50
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Ru X, Zhang L, Liu S, Yang H. Plasticity of Respiratory Function Accommodates High Oxygen Demand in Breeding Sea Cucumbers. Front Physiol 2020; 11:283. [PMID: 32300308 PMCID: PMC7145410 DOI: 10.3389/fphys.2020.00283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 03/12/2020] [Indexed: 01/01/2023] Open
Abstract
Physiological plasticity allows animals to adjust their physiological function to abiotic and biotic variations. It has been mostly studied in the context of response to external factors and not much is known on how animals adjust their physiology to cope with variations in internal conditions. The process of reproduction implies gonadal maturation and other internal changes, bringing various challenges to the animal such as an increased demand for energy and oxygen. Here, the capacity of the sea cucumber, Apostichopus japonicus to adjust its respiratory function and physiological mechanisms during reproduction was studied using a time-lapse videography and metabolomics approach. The results showed that reproduction caused a significant increase in oxygen consumption in A. japonicus. Interestingly, breeding sea cucumbers can accommodate the high oxygen demand by accelerating respiratory rate. However, to maintain a necessary high level of respiratory activity during reproduction, sea cucumbers need consume large amounts of adenosine triphosphate (ATP). In addition, the metabolomic data suggests that oxidative stress and hormone regulation are the physiological mechanisms linking reproduction and respiratory function. Altogether, these findings suggest that plasticity of respiratory function is an effective tactic to cope with high oxygen demand during reproduction.
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Affiliation(s)
- Xiaoshang Ru
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Sciences, Chinese Academy of Sciences, Qingdao, China
| | - Libin Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Sciences, Chinese Academy of Sciences, Qingdao, China
| | - Shilin Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Sciences, Chinese Academy of Sciences, Qingdao, China
| | - Hongsheng Yang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.,Center for Ocean Mega-Sciences, Chinese Academy of Sciences, Qingdao, China
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