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Zniber M, Lamminen T, Taimen P, Boström PJ, Huynh TP. 1H-NMR-based urine metabolomics of prostate cancer and benign prostatic hyperplasia. Heliyon 2024; 10:e28949. [PMID: 38617934 PMCID: PMC11015411 DOI: 10.1016/j.heliyon.2024.e28949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/16/2024] Open
Abstract
Background Prostate cancer (PCa) and benign prostatic hyperplasia (BPH) are prevalent conditions affecting a significant portion of the male population, particularly with advancing age. Traditional diagnostic methods, such as digital rectal examination (DRE) and prostate-specific antigen (PSA) tests, have limitations in specificity and sensitivity, leading to potential overdiagnosis and unnecessary biopsies. Significance This study explores the effectiveness of 1H NMR urine metabolomics in distinguishing PCa from BPH and in differentiating various PCa grades, presenting a non-invasive diagnostic alternative with the potential to enhance early detection and patient-specific treatment strategies. Results The study demonstrated the capability of 1H NMR urine metabolomics in detecting distinct metabolic profiles between PCa and BPH, as well as among different Gleason grade groups. Notably, this method surpassed the PSA test in distinguishing PCa from BPH. Untargeted metabolomics analysis also revealed several metabolites with varying relative concentrations between PCa and BPH cases, suggesting potential biomarkers for these conditions.
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Affiliation(s)
- Mohammed Zniber
- Laboratory of Molecular Science and Engineering, Åbo Akademi University, Turku, Finland
| | - Tarja Lamminen
- Department of Urology, University of Turku and Turku University Hospital, Turku, Finland
| | - Pekka Taimen
- Institute of Biomedicine and FICAN West Cancer Centre, University of Turku and Department of Pathology, Turku University Hospital, Turku, Finland
| | - Peter J. Boström
- Department of Urology, University of Turku and Turku University Hospital, Turku, Finland
| | - Tan-Phat Huynh
- Laboratory of Molecular Science and Engineering, Åbo Akademi University, Turku, Finland
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Bi Y, Lv C, Zhu J, Zhou Q, Xu X, Yang S, Shi D, Zhou Q, Dai Y. Effects of Hawthorn Flavonoids on Intestinal Microbial Community and Metabolic Phenotype in Obese Rats. Adv Biol (Weinh) 2024:e2300514. [PMID: 38217312 DOI: 10.1002/adbi.202300514] [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: 09/25/2023] [Revised: 12/26/2023] [Indexed: 01/15/2024]
Abstract
Obesity (OB) is a prevalent metabolic disorder. With the advancement of the economy, the prevention and treatment of obesity is a big problem for the global community. The methods to lose weight include exercise, diet, medicine, and surgery. Compared with other methods, diet regulation is safer and more effective. Hawthorn fruit has the effect of reducing weight, but the mechanism of effectiveness are not clear. In this study, obesity model rats are used to conduct scientific pharmacological research on hawthorn flavonoids. Hawthorn flavonoids can effectively improve the body weight, lipid accumulation, and lipid levels of obese rats. The contents of the colon of rats are analyzed using 16S rDNA sequencing technology. The intestinal microflora in obese rats changed significantly after flavonoids treatment, and they tended to be the control group. Based on liquid chromatography-mass spectrometry, serum metabolomics showed that the metabolites in the serum changed significantly, after hawthorn flavonoids treatment. Hawthorn flavonoids are especially involved in the biological processes of grade bile acid biosynthesis, histidine metabolism, and lipid metabolism. Pearson correlation analysis showed that the disorder of intestinal microorganisms is connected to changes in serum metabolites. These findings give a new idea about how hawthorn flavonoids help with obesity.
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Affiliation(s)
- Yu Bi
- Shandong University of Traditional Chinese Medicine, No. 4655 University Road, Jinan, Shandong, 250355, China
| | - Chang Lv
- Shandong Academy of Chinese Medicine, No.7 Yanzi Shanxi Road, Lixia District, Jinan, Shandong, 250014, China
| | - Juanjuan Zhu
- Shandong Academy of Chinese Medicine, No.7 Yanzi Shanxi Road, Lixia District, Jinan, Shandong, 250014, China
| | - Qiao Zhou
- Shandong Academy of Chinese Medicine, No.7 Yanzi Shanxi Road, Lixia District, Jinan, Shandong, 250014, China
| | - Xiaoxiao Xu
- Shandong University of Traditional Chinese Medicine, No. 4655 University Road, Jinan, Shandong, 250355, China
| | - Shuo Yang
- Shandong University of Traditional Chinese Medicine, No. 4655 University Road, Jinan, Shandong, 250355, China
| | - Dianhua Shi
- Shandong Academy of Chinese Medicine, No.7 Yanzi Shanxi Road, Lixia District, Jinan, Shandong, 250014, China
| | - Qian Zhou
- Shandong Academy of Chinese Medicine, No.7 Yanzi Shanxi Road, Lixia District, Jinan, Shandong, 250014, China
| | - Yanpeng Dai
- Shandong Academy of Chinese Medicine, No.7 Yanzi Shanxi Road, Lixia District, Jinan, Shandong, 250014, China
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El-Kersh DM, Kotob SE, Ammar NM, Mohawed OAM, Ahmed HH, Farag MA. Unravelling the anti-inflammatory and antioxidant effects of standardized green and black caffeinated coffee, tea, and their mixtures in an obese male rat model: Insights from biochemical, metabolomic, and histopathological analyses. Food Chem Toxicol 2023; 179:113971. [PMID: 37506863 DOI: 10.1016/j.fct.2023.113971] [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: 12/17/2022] [Revised: 07/22/2023] [Accepted: 07/24/2023] [Indexed: 07/30/2023]
Abstract
Obesity is one of the major metabolic syndrome risk factors upon which altered metabolic pathways follow. This study aimed to discern altered metabolic pathways associated with obesity and to pinpoint metabolite biomarkers in serum of obese rats fed on high fructose diet using metabolomics. Further, the effect of standardized green versus black caffeinated aqueous extracts (tea and coffee) in controlling obesity and its comorbidities through monitoring relevant serum biomarkers viz. Leptin, adiponectin, spexin, malondialdehyde, total antioxidant capacity. Liver tissue oxidative stress (catalase, super oxide dismutase and glutathione) and inflammation (IL-1β and IL-6) markers were assessed for green coffee and its mixture with green tea. Results revealed improvement of all parameters upon treatments with more prominence for those treated with green caffeinated extract (coffee and tea) especially in mixture. Upon comparing with obese rat group, the green mixture of coffee and tea exhibited anti-hyperlipidemic action through lowering serum triglycerides by 35.0% and elevating high density lipoprotein by 71.0%. Black tea was likewise effective in lowering serum cholesterol and low density lipoprotein by 28.0 and 50.6%, respectively. GC-MS- based metabolomics of rat serum led to the identification of 34 metabolites with obese rat serum enriched in fatty acids (oleamide).
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Affiliation(s)
- Dina M El-Kersh
- Department of Pharmacognosy, Faculty of Pharmacy, The British University in Egypt, 11837, Cairo, Egypt.
| | - Soheir E Kotob
- Hormones Department, Medical Research and Clinical Studies Institute, National Research Centre, Dokki, Giza, Egypt
| | - Naglaa M Ammar
- Therapeutic Chemistry Department, Pharmaceutical and Drug Industries Research Institute, National Research Centre, Dokki, Giza, 12622, Egypt
| | - Ola A M Mohawed
- Hormones Department, Medical Research and Clinical Studies Institute, National Research Centre, Dokki, Giza, Egypt
| | - Hanaa H Ahmed
- Hormones Department, Medical Research and Clinical Studies Institute, National Research Centre, Dokki, Giza, Egypt
| | - Mohamed A Farag
- Pharmacognosy Department, College of Pharmacy, Cairo University, Kasr El Aini St., 11562, Cairo, Egypt.
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Pigsborg K, Stentoft-Larsen V, Demharter S, Aldubayan MA, Trimigno A, Khakimov B, Engelsen SB, Astrup A, Hjorth MF, Dragsted LO, Magkos F. Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach. Front Nutr 2023; 10:1191944. [PMID: 37599689 PMCID: PMC10434509 DOI: 10.3389/fnut.2023.1191944] [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: 03/22/2023] [Accepted: 07/12/2023] [Indexed: 08/22/2023] Open
Abstract
Background and aim Results from randomized controlled trials indicate that no single diet performs better than other for all people living with obesity. Regardless of the diet plan, there is always large inter-individual variability in weight changes, with some individuals losing weight and some not losing or even gaining weight. This raises the possibility that, for different individuals, the optimal diet for successful weight loss may differ. The current study utilized machine learning to build a predictive model for successful weight loss in subjects with overweight or obesity on a New Nordic Diet (NND). Methods Ninety-one subjects consumed an NND ad libitum for 26 weeks. Based on their weight loss, individuals were classified as responders (weight loss ≥5%, n = 46) or non-responders (weight loss <2%, n = 24). We used clinical baseline data combined with baseline urine and plasma untargeted metabolomics data from two different analytical platforms, resulting in a data set including 2,766 features, and employed symbolic regression (QLattice) to develop a predictive model for weight loss success. Results There were no differences in clinical parameters at baseline between responders and non-responders, except age (47 ± 13 vs. 39 ± 11 years, respectively, p = 0.009). The final predictive model for weight loss contained adipic acid and argininic acid from urine (both metabolites were found at lower levels in responders) and generalized from the training (AUC 0.88) to the test set (AUC 0.81). Responders were also able to maintain a weight loss of 4.3% in a 12 month follow-up period. Conclusion We identified a model containing two metabolites that were able to predict the likelihood of achieving a clinically significant weight loss on an ad libitum NND. This work demonstrates that models based on an untargeted multi-platform metabolomics approach can be used to optimize precision dietary treatment for obesity.
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Affiliation(s)
- Kristina Pigsborg
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | | | | | - Mona Adnan Aldubayan
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
- King Saud bin Abdulaziz University for Health Sciences, College of Applied Medical Sciences, Riyadh, Saudi Arabia
| | - Alessia Trimigno
- Department of Food Science, University of Copenhagen, Frederiksberg, Denmark
| | - Bekzod Khakimov
- Department of Food Science, University of Copenhagen, Frederiksberg, Denmark
| | | | - Arne Astrup
- Obesity and Nutritional Sciences, Novo Nordisk Foundation, Hellerup, Denmark
| | - Mads Fiil Hjorth
- Obesity and Nutritional Sciences, Novo Nordisk Foundation, Hellerup, Denmark
| | - Lars Ove Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
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Martín-Masot R, Jiménez-Muñoz M, Herrador-López M, Navas-López VM, Obis E, Jové M, Pamplona R, Nestares T. Metabolomic Profiling in Children with Celiac Disease: Beyond the Gluten-Free Diet. Nutrients 2023; 15:2871. [PMID: 37447198 DOI: 10.3390/nu15132871] [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: 05/24/2023] [Revised: 06/20/2023] [Accepted: 06/22/2023] [Indexed: 07/15/2023] Open
Abstract
Celiac disease (CD) is included in the group of complex or multifactorial diseases, i.e., those caused by the interaction of genetic and environmental factors. Despite a growing understanding of the pathophysiological mechanisms of the disease, diagnosis is still often delayed and there are no effective biomarkers for early diagnosis. The only current treatment, a gluten-free diet (GFD), can alleviate symptoms and restore intestinal villi, but its cellular effects remain poorly understood. To gain a comprehensive understanding of CD's progression, it is crucial to advance knowledge across various scientific disciplines and explore what transpires after disease onset. Metabolomics studies hold particular significance in unravelling the complexities of multifactorial and multisystemic disorders, where environmental factors play a significant role in disease manifestation and progression. By analyzing metabolites, we can gain insights into the reasons behind CD's occurrence, as well as better comprehend the impact of treatment initiation on patients. In this review, we present a collection of articles that showcase the latest breakthroughs in the field of metabolomics in pediatric CD, with the aim of trying to identify CD biomarkers for both early diagnosis and treatment monitoring. These advancements shed light on the potential of metabolomic analysis in enhancing our understanding of the disease and improving diagnostic and therapeutic strategies. More studies need to be designed to cover metabolic profiles in subjects at risk of developing the disease, as well as those analyzing biomarkers for follow-up treatment with a GFD.
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Affiliation(s)
- Rafael Martín-Masot
- Pediatric Gastroenterology and Nutrition Unit, Hospital Regional Universitario de Malaga, 29010 Málaga, Spain
- Institute of Nutrition and Food Technology "José MataixVerdú" (INYTA), Biomedical Research Centre (CIBM), University of Granada, 18071 Granada, Spain
| | - María Jiménez-Muñoz
- Pediatric Gastroenterology and Nutrition Unit, Hospital Regional Universitario de Malaga, 29010 Málaga, Spain
| | - Marta Herrador-López
- Pediatric Gastroenterology and Nutrition Unit, Hospital Regional Universitario de Malaga, 29010 Málaga, Spain
| | - Víctor Manuel Navas-López
- Pediatric Gastroenterology and Nutrition Unit, Hospital Regional Universitario de Malaga, 29010 Málaga, Spain
| | - Elia Obis
- Department of Experimental Medicine, Lleida Biomedical Research Institute (IRBLleida), University of Lleida (UdL), 25198 Lleida, Spain
| | - Mariona Jové
- Department of Experimental Medicine, Lleida Biomedical Research Institute (IRBLleida), University of Lleida (UdL), 25198 Lleida, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, Lleida Biomedical Research Institute (IRBLleida), University of Lleida (UdL), 25198 Lleida, Spain
| | - Teresa Nestares
- Institute of Nutrition and Food Technology "José MataixVerdú" (INYTA), Biomedical Research Centre (CIBM), University of Granada, 18071 Granada, Spain
- Department of Physiology, Faculty of Pharmacy, University of Granada, 18071 Granada, Spain
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Anesti O, Papaioannou N, Gabriel C, Karakoltzidis A, Dzhedzheia V, Petridis I, Stratidakis A, Dickinson M, Horvat M, Snoj Tratnik J, Tsatsakis A, Karakitsios S, Sarigiannis DA. An exposome connectivity paradigm for the mechanistic assessment of the effects of prenatal and early life exposure to metals on neurodevelopment. Front Public Health 2023; 10:871218. [PMID: 36699871 PMCID: PMC9869756 DOI: 10.3389/fpubh.2022.871218] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/28/2022] [Indexed: 01/12/2023] Open
Abstract
The exposome paradigm through an integrated approach to investigating the impact of perinatal exposure to metals on child neurodevelopment in two cohorts carried out in Slovenia (PHIME cohort) and Greece (HERACLES cohort) respectively, is presented herein. Heavy metals are well-known neurotoxicants with well-established links to impaired neurodevelopment. The links between in utero and early-life exposure to metals, metabolic pathway dysregulation, and neurodevelopmental disorders were drawn through urinary and plasma untargeted metabolomics analysis, followed by the combined application of in silico and biostatistical methods. Heavy metal prenatal and postnatal exposure was evaluated, including parameters indirectly related to exposure and health adversities, such as sociodemographic and anthropometric parameters and dietary factors. The primary outcome of the study was that the identified perturbations related to the TCA cycle are mainly associated with impaired mitochondrial respiration, which is detrimental to cellular homeostasis and functionality; this is further potentiated by the capacity of heavy metals to induce oxidative stress. Insufficient production of energy from the mitochondria during the perinatal period is associated with developmental disorders in children. The HERACLES cohort included more detailed data regarding diet and sociodemographic status of the studied population, allowing the identification of a broader spectrum of effect modifiers, such as the beneficial role of a diet rich in antioxidants such as lycopene and ω-3 fatty acids, the negative effect the consumption of food items such as pork and chicken meat has or the multiple impacts of fish consumption. Beyond diet, several other factors have been proven influential for child neurodevelopment, such as the proximity to pollution sources (e.g., waste treatment site) and the broader living environment, including socioeconomic and demographic characteristics. Overall, our results demonstrate the utility of exposome-wide association studies (EWAS) toward understanding the relationships among the multiple factors that determine human exposure and the underlying biology, reflected as omics markers of effect on neurodevelopment during childhood.
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Affiliation(s)
- Ourania Anesti
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece,Centre of Toxicology Science and Research, School of Medicine, University of Crete, Heraklion, Greece
| | - Nafsika Papaioannou
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece,Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Catherine Gabriel
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece,Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Achilleas Karakoltzidis
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece,Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vazha Dzhedzheia
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece,Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ioannis Petridis
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece,Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Antonios Stratidakis
- Science, Technology, and Society Department, Istituto Universitario di Studi Superiori (IUSS), University School for Advanced Study, Pavia, Italy
| | | | - Milena Horvat
- Department of Environmental Sciences, Josef Stefan Institute, Ljubljana, Slovenia
| | - Janja Snoj Tratnik
- Department of Environmental Sciences, Josef Stefan Institute, Ljubljana, Slovenia
| | - Aristidis Tsatsakis
- Centre of Toxicology Science and Research, School of Medicine, University of Crete, Heraklion, Greece
| | - Spyros Karakitsios
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece,Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dimosthenis A. Sarigiannis
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, Thessaloniki, Greece,Centre of Toxicology Science and Research, School of Medicine, University of Crete, Heraklion, Greece,Environmental Engineering Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece,*Correspondence: Dimosthenis A. Sarigiannis
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Shao F, Li R, Guo Q, Qin R, Su W, Yin H, Tian L. Plasma Metabolomics Reveals Systemic Metabolic Alterations of Subclinical and Clinical Hypothyroidism. J Clin Endocrinol Metab 2022; 108:13-25. [PMID: 36181451 PMCID: PMC9759175 DOI: 10.1210/clinem/dgac555] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 09/01/2022] [Indexed: 02/03/2023]
Abstract
CONTEXT Clinical hypothyroidism (CH) and subclinical hypothyroidism (SCH) have been linked to various metabolic comorbidities but the underlying metabolic alterations remain unclear. Metabolomics may provide metabolic insights into the pathophysiology of hypothyroidism. OBJECTIVE We explored metabolic alterations in SCH and CH and identify potential metabolite biomarkers for the discrimination of SCH and CH from euthyroid individuals. METHODS Plasma samples from a cohort of 126 human subjects, including 45 patients with CH, 41 patients with SCH, and 40 euthyroid controls, were analyzed by high-resolution mass spectrometry-based metabolomics. Data were processed by multivariate principal components analysis and orthogonal partial least squares discriminant analysis. Correlation analysis was performed by a Multivariate Linear Regression analysis. Unbiased Variable selection in R algorithm and 3 machine learning models were utilized to develop prediction models based on potential metabolite biomarkers. RESULTS The plasma metabolomic patterns in SCH and CH groups were significantly different from those of control groups, while metabolite alterations between SCH and CH groups were dramatically similar. Pathway enrichment analysis found that SCH and CH had a significant impact on primary bile acid biosynthesis, steroid hormone biosynthesis, lysine degradation, tryptophan metabolism, and purine metabolism. Significant associations for 65 metabolites were found with levels of thyrotropin, free thyroxine, thyroid peroxidase antibody, or thyroglobulin antibody. We successfully selected and validated 17 metabolic biomarkers to differentiate 3 groups. CONCLUSION SCH and CH have significantly altered metabolic patterns associated with hypothyroidism, and metabolomics coupled with machine learning algorithms can be used to develop diagnostic models based on selected metabolites.
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Affiliation(s)
| | | | - Qian Guo
- Department of Endocrinology (Cadre Ward 3), Gansu Provincial Hospital, Lanzhou, Gansu 730099, China
- Clinical Research Center for Metabolic Disease, Gansu Province. 204 Donggang West Road, Lanzhou, Gansu 730099, China
| | - Rui Qin
- Clinical Research Center for Metabolic Disease, Gansu Province. 204 Donggang West Road, Lanzhou, Gansu 730099, China
| | - Wenxiu Su
- Clinical Research Center for Metabolic Disease, Gansu Province. 204 Donggang West Road, Lanzhou, Gansu 730099, China
| | - Huiyong Yin
- Correspondence: Limin Tian, M.D., The First School of Clinical Medicine, Lanzhou University, Gansu Provincial Hospital, Donggang West Road, 730030, Lanzhou, Gansu, China. ; Huiyong Yin, Ph.D., Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, China 200031.
| | - Limin Tian
- Correspondence: Limin Tian, M.D., The First School of Clinical Medicine, Lanzhou University, Gansu Provincial Hospital, Donggang West Road, 730030, Lanzhou, Gansu, China. ; Huiyong Yin, Ph.D., Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, China 200031.
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Metabolomic Response throughout 16 Weeks of Combined Aerobic and Resistance Exercise Training in Older Women with Metabolic Syndrome. Metabolites 2022; 12:metabo12111041. [PMID: 36355124 PMCID: PMC9693245 DOI: 10.3390/metabo12111041] [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: 10/05/2022] [Revised: 10/25/2022] [Accepted: 10/27/2022] [Indexed: 11/16/2022] Open
Abstract
Increases in longevity and obesity have led to a higher prevalence of Metabolic Syndrome (MetS) and several chronic conditions, such as hypertension. The prevalence of MetS and hypertension increases with advancing age and their detrimental effects on health can be attenuated by physical activity. Combined aerobic and resistance exercise training (CT) is recommended to maintain good health in older adults and is known to generate important metabolic adaptations. In this study we performed a metabolomics analysis, based on Hydrogen Nuclear Magnetic Resonance (1H NMR), to investigate the kinetics of changes in metabolism in non-physically active older women with MetS in response to 16 weeks of CT. A subset of women with MetS were selected from a larger randomized trial (that included men and women without MetS), with 12 participants on CT and 13 from the Control Group (CG). CT comprised walking/running at 63% of VO2max, three times/week, and resistance training (RT), consisting of 15 repetitions of seven exercises at moderate intensity, twice/week. Serum metabolomic profile was analysed at baseline (0W), 4 (4W), 8 (8W), 12 (12W) and 16 weeks (16W) for CT or CG. Cardiorespiratory fitness, RT load, blood pressure, body composition, lipid and glycaemic profile were also assessed. After 16 weeks CT increased cardiorespiratory fitness (13.1%, p < 0.05) and RT load (from 48% in the lat pulldown to 160% in the leg press, p < 0.05), but there were no changes in MetS parameters, such as body composition (Body Mass, Body Mass Index (BMI), body fat percentage and waist circumference), blood pressure, lipid and glycaemic profile. However, we identified potential higher substrate to the tricarboxylic acid cycle (increase in 2-Oxobutyrate from 0W (0.0029 ± 0.0009) to 4W (0.0038 ± 0.0011) and 8W (0.0041 ± 0.0015), p < 0.05), followed by alterations (different from 0W, p < 0.05) in the production of ketone bodies (3-Hydroxybutyrate, 0W (0.0717 ± 0.0377) to 16W (0.0397 ± 0.0331), and Acetoacetate, 0W (0.0441 ± 0.0240) to 16W (0.0239 ± 0.0141)), which together might explain the known improvement in fatty acid oxidation with exercise. There was also a late increase in ornithine at 16W of CT. Further studies are needed to investigate the association between these metabolic pathways and clinical outcomes in this population.
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Xu W, Du J, Wei TT, Chen LY, Yang XX, Bo T, Liu HY, Xie MZ, Zhao TS, Yang JL, Cui F, Chen WW, Lu QB. Alterations in bile acids as metabolic signatures in the patients with human adenovirus type 7 infection. Front Med (Lausanne) 2022; 9:896409. [PMID: 36160124 PMCID: PMC9489940 DOI: 10.3389/fmed.2022.896409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 08/15/2022] [Indexed: 11/25/2022] Open
Abstract
Objectives The changes in metabolism by human adenovirus (HAdV) infection was unclear. The potential mechanism of HAdV-7 causing acute respiratory tract infection was explored. Methods Totally 35 patients with HAdV-7 infection, 32 asymptomatic cases with HAdV-7 and 14 healthy controls were enrolled from an outbreak of HAdV-7 in the army. The serum samples were analyzed by untargeted and targeted metabolomics. The effects of differential metabolites were verified on HAdV-7 replication in an A549 cell line. Results The untargeted metabolomics analysis revealed more significant changes in the classes of sphingolipids, polyketides, glycerolipids, fatty acyls, and carboxylic acids and their derivatives in the patients with HAdV-7 than in healthy controls. Two key metabolic pathways of secondary and primary bile acid biosynthesis were noted from pathway enrichment analysis. Targeted metabolomics analysis showed that the levels of unconjugated bile acids in the patients were significantly lower, while the levels of glyco- and tauro- conjugated bile acids in patients and asymptomatic cases were higher than those in the healthy controls. The profiles of cytokines and peripheral lymphocyte subsets obviously varied at different levels of bile acids, with significant differences after HAdV-7 infection. A cell verification test demonstrated that the replication of HAdV-7 significantly reduced when GCDCA and TCA were added. Conclusion Bile acids inhibited HAdV-7 replication in vitro. Alterations in bile acids was metabolic signatures of HAdV-7 infected subjects, and our results suggested bile acids might play protective roles against HAdV-7 infection.
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Affiliation(s)
- Wen Xu
- Department of Infectious Disease, The Fifth Medical Center of Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Infectious Diseases, Beijing, China
| | - Juan Du
- Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Global Center for Infectious Disease and Policy Research, Peking University, Beijing, China
| | - Ting-Ting Wei
- Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Global Center for Infectious Disease and Policy Research, Peking University, Beijing, China
| | - Lin-Yi Chen
- Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Global Center for Infectious Disease and Policy Research, Peking University, Beijing, China
| | - Xin-Xin Yang
- Department of Infectious Disease, The Fifth Medical Center of Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Infectious Diseases, Beijing, China
| | - Tu Bo
- Department of Infectious Disease, The Fifth Medical Center of Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Infectious Diseases, Beijing, China
| | - Han-Yu Liu
- Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Global Center for Infectious Disease and Policy Research, Peking University, Beijing, China
| | - Ming-Zhu Xie
- Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Global Center for Infectious Disease and Policy Research, Peking University, Beijing, China
| | - Tian-Shuo Zhao
- Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Global Center for Infectious Disease and Policy Research, Peking University, Beijing, China
| | - Jun-Lian Yang
- Department of Infectious Disease, The Fifth Medical Center of Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Infectious Diseases, Beijing, China
| | - Fuqiang Cui
- Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Global Center for Infectious Disease and Policy Research, Peking University, Beijing, China
- *Correspondence: Fuqiang Cui,
| | - Wei-Wei Chen
- Department of Infectious Disease, The Fifth Medical Center of Chinese People’s Liberation Army General Hospital, National Clinical Research Center for Infectious Diseases, Beijing, China
- Wei-Wei Chen,
| | - Qing-Bin Lu
- Department of Laboratorial Science and Technology and Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Global Center for Infectious Disease and Policy Research, Peking University, Beijing, China
- Qing-Bin Lu,
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10
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Albores-Mendez EM, Aguilera Hernández AD, Melo-González A, Vargas-Hernández MA, Gutierrez de la Cruz N, Vazquez-Guzman MA, Castro-Marín M, Romero-Morelos P, Winkler R. A diagnostic model for overweight and obesity from untargeted urine metabolomics of soldiers. PeerJ 2022; 10:e13754. [PMID: 35898940 PMCID: PMC9310780 DOI: 10.7717/peerj.13754] [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: 04/15/2022] [Accepted: 06/28/2022] [Indexed: 01/17/2023] Open
Abstract
Soldiers in active military service need optimal physical fitness for successfully carrying out their operations. Therefore, their health status is regularly checked by army doctors. These inspections include physical parameters such as the body-mass index (BMI), functional tests, and biochemical studies. If a medical exam reveals an individual's excess weight, further examinations are made, and corrective actions for weight lowering are initiated. The collection of urine is non-invasive and therefore attractive for frequent metabolic screening. We compared the chemical profiles of urinary samples of 146 normal weight, excess weight, and obese soldiers of the Mexican Army, using untargeted metabolomics with liquid chromatography coupled to high-resolution mass spectrometry (LC-MS). In combination with data mining, statistical and metabolic pathway analyses suggest increased S-adenosyl-L-methionine (SAM) levels and changes of amino acid metabolites as important variables for overfeeding. We will use these potential biomarkers for the ongoing metabolic monitoring of soldiers in active service. In addition, after validation of our results, we will develop biochemical screening tests that are also suitable for civil applications.
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Affiliation(s)
- Exsal M. Albores-Mendez
- Escuela Militar de Graduados de Sanidad, Universidad del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, Mexico
| | - Alexis D. Aguilera Hernández
- Escuela Militar de Graduados de Sanidad, Universidad del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, Mexico
| | - Alejandra Melo-González
- Escuela Militar de Graduados de Sanidad, Universidad del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, Mexico
| | - Marco A. Vargas-Hernández
- Escuela Militar de Graduados de Sanidad, Universidad del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, Mexico
| | - Neptalí Gutierrez de la Cruz
- Escuela Militar de Graduados de Sanidad, Universidad del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, Mexico
| | - Miguel A. Vazquez-Guzman
- Escuela Militar de Graduados de Sanidad, Universidad del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, Mexico,Centro de Investigación en Ciencias de la Salud (CICSA), FCS, Universidad Anahuac Mexico, Campus Norte, Mexico City, Mexico
| | - Melchor Castro-Marín
- Escuela Militar de Graduados de Sanidad, Universidad del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, Mexico
| | - Pablo Romero-Morelos
- Escuela Militar de Graduados de Sanidad, Universidad del Ejército y Fuerza Aérea Mexicanos, Secretaría de la Defensa Nacional, Mexico City, Mexico,Universidad Estatal del Valle de Ecatepec, Ecatepec, Mexico
| | - Robert Winkler
- UGA-Langebio, CINVESTAV, Irapuato, Gto., Mexico,Biotechnology and Biochemistry, CINVESTAV Unidad Irapuato, Irapuato, Gto., Mexico
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11
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Wang B, Sun H, Wang D, Liu H, Liu J. Constraints on the utilization of cereal straw in lactating dairy cows: A review from the perspective of systems biology. ANIMAL NUTRITION 2022; 9:240-248. [PMID: 35600542 PMCID: PMC9097690 DOI: 10.1016/j.aninu.2022.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 12/17/2021] [Accepted: 01/24/2022] [Indexed: 10/24/2022]
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12
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Ampong I, Zimmerman KD, Nathanielsz PW, Cox LA, Olivier M. Optimization of Imputation Strategies for High-Resolution Gas Chromatography-Mass Spectrometry (HR GC-MS) Metabolomics Data. Metabolites 2022; 12:429. [PMID: 35629933 PMCID: PMC9144635 DOI: 10.3390/metabo12050429] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/07/2022] [Accepted: 05/09/2022] [Indexed: 12/17/2022] Open
Abstract
Gas chromatography-coupled mass spectrometry (GC-MS) has been used in biomedical research to analyze volatile, non-polar, and polar metabolites in a wide array of sample types. Despite advances in technology, missing values are still common in metabolomics datasets and must be properly handled. We evaluated the performance of ten commonly used missing value imputation methods with metabolites analyzed on an HR GC-MS instrument. By introducing missing values into the complete (i.e., data without any missing values) National Institute of Standards and Technology (NIST) plasma dataset, we demonstrate that random forest (RF), glmnet ridge regression (GRR), and Bayesian principal component analysis (BPCA) shared the lowest root mean squared error (RMSE) in technical replicate data. Further examination of these three methods in data from baboon plasma and liver samples demonstrated they all maintained high accuracy. Overall, our analysis suggests that any of the three imputation methods can be applied effectively to untargeted metabolomics datasets with high accuracy. However, it is important to note that imputation will alter the correlation structure of the dataset and bias downstream regression coefficients and p-values.
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Affiliation(s)
- Isaac Ampong
- Center for Precision Medicine, Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University, Winston-Salem, NC 27157, USA; (I.A.); (K.D.Z.); (L.A.C.)
| | - Kip D. Zimmerman
- Center for Precision Medicine, Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University, Winston-Salem, NC 27157, USA; (I.A.); (K.D.Z.); (L.A.C.)
| | - Peter W. Nathanielsz
- Center for the Study of Fetal Programming, University of Wyoming, Laramie, WY 82071, USA;
- Southwest National Primate Research Center, San Antonio, TX 78227, USA
| | - Laura A. Cox
- Center for Precision Medicine, Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University, Winston-Salem, NC 27157, USA; (I.A.); (K.D.Z.); (L.A.C.)
- Southwest National Primate Research Center, San Antonio, TX 78227, USA
| | - Michael Olivier
- Center for Precision Medicine, Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University, Winston-Salem, NC 27157, USA; (I.A.); (K.D.Z.); (L.A.C.)
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13
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Lyu Y, Liu D, Nguyen P, Peters I, Heilmann RM, Fievez V, Hemeryck LY, Hesta M. Differences in Metabolic Profiles of Healthy Dogs Fed a High-Fat vs. a High-Starch Diet. Front Vet Sci 2022; 9:801863. [PMID: 35252418 PMCID: PMC8891928 DOI: 10.3389/fvets.2022.801863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/24/2022] [Indexed: 11/17/2022] Open
Abstract
Obesity is a common problem in dogs and overconsumption of energy-rich foods is a key factor. This study compared the inflammatory response and fecal metabolome of dogs fed a high-fat vs. a high-starch diet. Ten healthy lean adult beagles were equally allocated into two groups in a cross-over design. Each group received two diets in which fat (horse fat) and starch (pregelatinized corn starch) were exchanged in an isocaloric way to compare high fat vs. high starch. There was a tendency to increase the glucose and glycine concentrations and the glucose/insulin ratio in the blood in dogs fed with the high-fat diet, whereas there was a decrease in the level of Non-esterified fatty acids and a tendency to decrease the alanine level in dogs fed with the high-starch diet. Untargeted analysis of the fecal metabolome revealed 10 annotated metabolites of interest, including L-methionine, which showed a higher abundance in dogs fed the high-starch diet. Five other metabolites were upregulated in dogs fed the high-fat diet, but could not be annotated. The obtained results indicate that a high-starch diet, compared to a high-fat diet, may promote lipid metabolism, anti-oxidative effects, protein biosynthesis and catabolism, mucosal barrier function, and immunomodulation in healthy lean dogs.
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Affiliation(s)
- Yang Lyu
- ECAN Equine and Companion Animal Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Daisy Liu
- ECAN Equine and Companion Animal Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Patrick Nguyen
- Nutrition, Physiopathology and Pharmacology Unit, National College of Veterinary Medicine, Food Science and Engineering, Nantes, France
| | - Iain Peters
- SYNLAB VPG, Exeter Science Park, Exeter, United Kingdom
| | - Romy M. Heilmann
- Gastrointestinal Laboratory, Department of Small Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, United States
| | - Veerle Fievez
- Department of Animal Sciences and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent, Belgium
| | - Lieselot Y. Hemeryck
- Laboratory of Chemical Analysis, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
- *Correspondence: Myriam Hesta
| | - Myriam Hesta
- ECAN Equine and Companion Animal Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
- Lieselot Y. Hemeryck
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14
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Pigsborg K, Magkos F. Metabotyping for Precision Nutrition and Weight Management: Hype or Hope? Curr Nutr Rep 2022; 11:117-123. [PMID: 35025088 DOI: 10.1007/s13668-021-00392-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/30/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW Precision nutrition requires a solid understanding of the factors that determine individual responses to dietary treatment. We review the current state of knowledge in identifying human metabotypes - based on circulating biomarkers - that can predict weight loss or other relevant physiological outcomes in response to diet treatment. RECENT FINDINGS Not many studies have been conducted in this area and the ones identified here are heterogeneous in design and methodology, and therefore difficult to synthesize and draw conclusions. The basis of the creation of metabotypes varies widely, from using thresholds for a single metabolite to using complex algorithms to generate multi-component constructs that include metabolite and genetic information. Furthermore, available studies are a mix of hypothesis-driven and hypothesis-generating studies, and most of them lack experimental testing in human trials. Although this field of research is still in its infancy, precision-based dietary intervention strategies focusing on the metabotype group level hold promise for designing more effective dietary treatments for obesity.
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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.
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg, Denmark
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15
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Liu JH, Chen N, Guo YH, Guan XN, Wang J, Wang D, Xiu MH. Metabolomics-based understanding of the olanzapine-induced weight gain in female first-episode drug-naïve patients with schizophrenia. J Psychiatr Res 2021; 140:409-415. [PMID: 34144444 DOI: 10.1016/j.jpsychires.2021.06.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 05/30/2021] [Accepted: 06/04/2021] [Indexed: 12/22/2022]
Abstract
Previous studies have demonstrated that patients with schizophrenia (SZ) have greater rate of metabolic disorder as compared with the control population, which likely be the consequence of use of atypical antipsychotics. Olanzapine is a widely used antipsychotic, which increases the weight of SZ patients. However, the underlying mechanism remains poorly understood. Here we report the metabolomics-based understanding of the weight gain induced by olanzapine. 57 first-episode drug-naïve patients (FEDN) were recruited, of whom 27 patients completed a 4-week clinical trial. We then profiled the metabolomes of their plasma with the LC-MS-based nontargeted metabolomics approach at the baseline and after olanzapine monotherapy for 4 weeks. We observed that the plasma of the olanzapine-treated patient had significantly higher lysophosphatidylcholine (LysoPC), lysophosphatidylethanolamine (LysoPE) and lower carnitine as compared with that of the baseline plasma samples. Moreover, regression analyses indicated that the change of LysoPC(14:0) level was an independent contributor to the olanzapine-induced weight gain. Our study suggests that the metabolomics-based approach may facilitate the identification of biomarkers associated with the metabolic disorder causing by antipsychotic in schizophrenia patients.
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Affiliation(s)
- Jia Hong Liu
- The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, China
| | - Nan Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Yan Hong Guo
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Xiao Ni Guan
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Jun Wang
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Dong Wang
- Department of Clinical Psychology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
| | - Mei Hong Xiu
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China.
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16
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Azoxymethane Alters the Plasma Metabolome to a Greater Extent in Mice Fed a High-Fat Diet Compared to an AIN-93 Diet. Metabolites 2021; 11:metabo11070448. [PMID: 34357342 PMCID: PMC8307161 DOI: 10.3390/metabo11070448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/01/2021] [Accepted: 07/02/2021] [Indexed: 12/17/2022] Open
Abstract
Consumption of a high-fat diet (HFD) links obesity to colon cancer in humans. Our data show that a HFD (45% energy fat versus 16% energy fat in an AIN-93 diet (AIN)) promotes azoxymethane (AOM)-induced colonic aberrant crypt foci (ACF) formation in a mouse cancer model. However, the underlying metabolic basis remains to be determined. In the present study, we hypothesize that AOM treatment results in different plasma metabolomic responses in diet-induced obese mice. An untargeted metabolomic analysis was performed on the plasma samples by gas chromatography time-of-flight mass spectrometry (GC-TOF-MS). We found that 53 of 144 identified metabolites were different between the 4 groups of mice (AIN, AIN + AOM, HFD, HFD + AOM), and sparse partial least-squares discriminant analysis showed a separation between the HFD and HFD + AOM groups but not the AIN and AIN + AOM groups. Moreover, the concentrations of dihydrocholesterol and cholesterol were inversely associated with AOM-induced colonic ACF formation. Functional pathway analyses indicated that diets and AOM-induced colonic ACF modulated five metabolic pathways. Collectively, in addition to differential plasma metabolomic responses, AOM treatment decreases dihydrocholesterol and cholesterol levels and alters the composition of plasma metabolome to a greater extent in mice fed a HFD compared to the AIN.
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17
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Htun KT, Pan J, Pasanta D, Tungjai M, Udomtanakunchai C, Chancharunee S, Kaewjaeng S, Kim HJ, Kaewkhao J, Kothan S. Identification of Metabolic Phenotypes in Young Adults with Obesity by 1H NMR Metabolomics of Blood Serum. Life (Basel) 2021; 11:life11060574. [PMID: 34207003 PMCID: PMC8246321 DOI: 10.3390/life11060574] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 06/06/2021] [Accepted: 06/15/2021] [Indexed: 02/07/2023] Open
Abstract
(1) Since the obesity prevalence rate has been consistently increasing, it is necessary to find an effective way to prevent and treat it. Although progress is being made to reduce obesity in the young adult population, a better understanding of obesity-related metabolomics and related biochemical mechanisms is urgently needed for developing appropriate screening strategies. Therefore, the aim of this study is to identify the serum metabolic profile associated with young adult obesity and its metabolic phenotypes. (2) Methods: The serum metabolic profile of 30 obese and 30 normal-weight young adults was obtained using proton nuclear magnetic resonance spectroscopy (1H NMR). 1H NMR spectra were integrated into 24 integration regions, which reflect relative metabolites, and were used as statistical variables. (3) Results: The obese group showed increased levels of lipids, glucose, glutamate, N-acetyl glycoprotein, alanine, lactate, 3 hydroxybutyrate and branch chain amino acid (BCAA), and decreased levels of choline as compared with the normal-weight group. Non-hyperlipidemia obese adults showed lower levels of lipids and lactate, glutamate, acetoacetate, N-acetyl glycoprotein, isoleucine, and higher levels of choline and glutamine, as compared with hyperlipidemic obese adults. (4) Conclusions: This study reveals valuable findings in the field of metabolomics and young adult obesity. We propose several serum biomarkers that distinguish between normal weight and obese adults, i.e., glutamine (higher in the normal group, p < 0.05), and lactate, BCAAs, acetoacetate and 3-hydroxybutyrate (higher in the obese group, p < 0.05). In addition, visceral fat and serum TG, glutamate, acetoacetate, N-acetyl glycoprotein, unsaturated lipid, isoleucine, and VLDL/LDL are higher (p < 0.05) in the obese with hyperlipidemia. Therefore, they can be used as biomarkers to identify these two types of obesity.
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Affiliation(s)
- Khin Thandar Htun
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (K.T.H.); (D.P.); (M.T.); (C.U.); (S.K.)
| | - Jie Pan
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (K.T.H.); (D.P.); (M.T.); (C.U.); (S.K.)
- Shandong Provincial Key Laboratory of Animal Resistant Biology, College of Life Sciences, Shandong Normal University, Jinan 250014, China
- Correspondence: (J.P.); (S.K.); Tel.: +86-13583101188 (J.P.); +66-5394-9213 (S.K.)
| | - Duanghathai Pasanta
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (K.T.H.); (D.P.); (M.T.); (C.U.); (S.K.)
| | - Montree Tungjai
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (K.T.H.); (D.P.); (M.T.); (C.U.); (S.K.)
| | - Chatchanok Udomtanakunchai
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (K.T.H.); (D.P.); (M.T.); (C.U.); (S.K.)
| | - Sirirat Chancharunee
- Department of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand;
| | - Siriprapa Kaewjaeng
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (K.T.H.); (D.P.); (M.T.); (C.U.); (S.K.)
| | - Hong Joo Kim
- Department of Physics, Kyungpook National University, Daegu 41566, Korea;
| | - Jakrapong Kaewkhao
- Center of Excellence in Glass Technology and Materials Science (CEGM), Faculty of Science and Technology, Nakhon Pathom Rajabhat University, Nakhon Pathom 73000, Thailand;
| | - Suchart Kothan
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (K.T.H.); (D.P.); (M.T.); (C.U.); (S.K.)
- Correspondence: (J.P.); (S.K.); Tel.: +86-13583101188 (J.P.); +66-5394-9213 (S.K.)
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18
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Sarigiannis DA, Papaioannou N, Handakas E, Anesti O, Polanska K, Hanke W, Salifoglou A, Gabriel C, Karakitsios S. Neurodevelopmental exposome: The effect of in utero co-exposure to heavy metals and phthalates on child neurodevelopment. ENVIRONMENTAL RESEARCH 2021; 197:110949. [PMID: 33716031 DOI: 10.1016/j.envres.2021.110949] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 12/27/2020] [Accepted: 02/25/2021] [Indexed: 05/22/2023]
Abstract
In this study, the exposome paradigm has been applied on a mother-child cohort adopting an optimised untargeted metabolomics approach for human urine followed by advanced bioinformatics analysis. Exposome-wide association algorithms were used to draw links between in utero co-exposure to metals and phthalates, metabolic pathways deregulation, and clinically observed phenotypes of neurodevelopmental disorders such as problems in linguistic, motor development and cognitive capacity. Children (n = 148) were tested at the first and second year of their life using the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III). Their mothers had been exposed to metals and phthalates during the pregnancy, according to human biomonitoring results from previously performed studies. Untargeted metabolomics analysis of biobanked urine samples from the mothers was performed using a combination of the high throughput analytical methods liquid chromatography-high resolution mass spectrometry (LC-HRMS) and nuclear magnetic resonance (NMR). Most perturbed metabolic pathways from co-exposure heavy metals and phthalates were pathways related to the tricarboxylic acid cycle (TCA cycle) and oxidative phosphorylation, indicating the possibility of disruption of mitochondrial respiration. Overproduction of reactive oxygen species (ROS); the presence of glutathione peroxidase 3 (GPx3) during pregnancy and presence of glutathione peroxidase 1 (GPx1) in the umbilical cord were linked to verbal development problems. Another finding of the study is that in real life, adverse outcomes occur as a combination of environmental and social factors, all of them acting synergistically towards the deployment of an observed phenotype. Finally, the two-steps association process (exposure to pathways and pathways to adverse outcomes) was able to (a) provide associations that are not evident by directly associating exposure to outcomes and (b) provides additional insides on the mechanisms of environmental disease.
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Affiliation(s)
- Denis A Sarigiannis
- Aristotle University of Thessaloniki, Department of Chemical Engineering, Environmental Engineering Laboratory, University Campus, Thessaloniki, 54124, Greece; HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10thkm Thessaloniki-Thermi Road, 57001, Greece; School for Advanced Study (IUSS), Science, Technology and Society Department, Environmental Health Engineering, Piazza Della Vittoria 15, Pavia, 27100, Italy.
| | - Nafsika Papaioannou
- Aristotle University of Thessaloniki, Department of Chemical Engineering, Environmental Engineering Laboratory, University Campus, Thessaloniki, 54124, Greece; HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10thkm Thessaloniki-Thermi Road, 57001, Greece
| | - Evangelos Handakas
- Aristotle University of Thessaloniki, Department of Chemical Engineering, Environmental Engineering Laboratory, University Campus, Thessaloniki, 54124, Greece
| | - Ourania Anesti
- HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10thkm Thessaloniki-Thermi Road, 57001, Greece; School of Medicine, University of Crete, Voutes, Heraklion, 71003, Greece
| | - Kinga Polanska
- Nofer Institute of Occupational Medicine, 91348, Lodz, Poland
| | - Woijcek Hanke
- Nofer Institute of Occupational Medicine, 91348, Lodz, Poland
| | - Athanasios Salifoglou
- Aristotle University of Thessaloniki, Department of Chemical Engineering, Inorganic Chemistry Laboratory, University Campus, Thessaloniki, 54124, Greece
| | - Catherine Gabriel
- Aristotle University of Thessaloniki, Department of Chemical Engineering, Environmental Engineering Laboratory, University Campus, Thessaloniki, 54124, Greece; HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10thkm Thessaloniki-Thermi Road, 57001, Greece
| | - Spyros Karakitsios
- Aristotle University of Thessaloniki, Department of Chemical Engineering, Environmental Engineering Laboratory, University Campus, Thessaloniki, 54124, Greece; HERACLES Research Center on the Exposome and Health, Center for Interdisciplinary Research and Innovation, Balkan Center, Bldg. B, 10thkm Thessaloniki-Thermi Road, 57001, Greece
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19
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Zhan Y, Wang J, He X, Huang M, Yang X, He L, Qiu Y, Lou Y. Plasma metabolites, especially lipid metabolites, are altered in pregnant women with gestational diabetes mellitus. Clin Chim Acta 2021; 517:139-148. [PMID: 33711327 DOI: 10.1016/j.cca.2021.02.023] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND AND AIMS Gestational diabetes mellitus (GDM) is a pathological condition of glucose intolerance associated with adverse pregnancy outcomes and increased risk of developing maternal type 2 diabetes later in life. Metabolomics is finding increasing use in the study of GDM. To date, GDM-specific metabolomic changes have not been completely elucidated. MATERIALS AND METHODS In this pilot study, metabolomics fingerprinting data, obtained by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC/Q-TOF-MS), of 54 healthy pregnant women and 49 patients with GDM at the second and third gestational trimesters were analyzed. Multilevel statistical methods were used to process complex metabolomic data from the retrospective cohorts. RESULTS Using univariate analysis (p < 0.05), 41 metabolites were identified as having the most significant differences between these two groups. Lipid metabolites, particularly glycerophospholipids, were the most prevalent class of altered compounds. In addition, metabolites with previously unknown connection to GDM - such as monoacylglycerol, dihydrobiopterin, and 13S-hydroxyoctadecadienoic acid - were identified with strong discriminative power. The main metabolic pathways affected by GDM included glycerophospholipid metabolism, linoleic acid metabolism, and D-arginine and D-ornithine metabolism. CONCLUSION Our data provide a comprehensive overview of metabolite changes at different stages of pregnancy, which offers further insights into the pathogenesis of GDM.
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Affiliation(s)
- Yaqiong Zhan
- State Key Laboratory for Diagnosis and Treatment of Infectious Disease, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China
| | - Jiali Wang
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China
| | - Xiaoying He
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China
| | - Mingzhu Huang
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China
| | - Xi Yang
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China
| | - Lingjuan He
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China
| | - Yunqing Qiu
- State Key Laboratory for Diagnosis and Treatment of Infectious Disease, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China.
| | - Yan Lou
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, People's Republic of China.
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20
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Vendramini THA, Macedo HT, Zafalon RVA, Macegoza MV, Pedrinelli V, Risolia LW, Ocampos FMM, Jeremias JT, Pontieri CFF, Ferriolli E, Colnago LA, Brunetto MA. Serum metabolomics analysis reveals that weight loss in obese dogs results in a similar metabolic profile to dogs in ideal body condition. Metabolomics 2021; 17:27. [PMID: 33594460 DOI: 10.1007/s11306-020-01753-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 11/26/2020] [Indexed: 01/04/2023]
Abstract
INTRODUCTION The study of metabolic profile can be an important tool to better understand, at a systemic level, metabolic alterations caused by different pathological conditions, such as obesity. Furthermore, it allows the discovery of metabolic biomarkers, which may help to diagnose alterations caused by obesity. OBJECTIVE To investigate the metabolic profile of blood serum of obese dogs, control dogs, and dogs that were subjected to a weight loss program. METHODS Ten obese adult spayed female dogs were included, and their body composition was determined by the deuterium isotope dilution method. The dogs were subjected to a weight loss program and formed a new experimental group after losing 20% of the initial body weight. A third experimental group was composed of ten lean adult spayed female dogs. The metabolic profile of blood serum was evaluated through nuclear magnetic resonance (NMR). Principal Component Analyses (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) models were constructed using Pareto scaling pre-processing. Pathway analysis was also performed using the MetaboAnalist online tool. RESULTS The PCA shows that the control and after weight loss groups presented a trend to negative PC1, indicating similarities between these two groups. In contrast, obese animals presented a tendency to appear on negative PC2 indicating a different metabolic profile. The OPLS-DA analysis of the serum indicated that healthy groups presented higher content of glucose, while animals that lost weight had higher levels of cholesterol and lactate than the control group. On the other hand, the analysis showed that lipid content, cholesterol, and branched-chain amino acids were highest in obese animals. Variable Influence on Projection (VIP) analysis demonstrated that Lactate is the most important metabolite for the OPLS-DA model and Hierarchical Cluster Analysis (HCA) corroborated the similarity between the control group and the obese after weight loss groups. Moreover, the pathway analysis indicated the most important metabolic pathways related to this dataset. CONCLUSIONS The metabolomic assessment based on NMR of blood serum differed between obese dogs and animals in optimal body condition. Moreover, the weight loss resulted in metabolic profiles similar to those observed in lean animals.
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Affiliation(s)
- Thiago H A Vendramini
- Pet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil
| | - Henrique T Macedo
- Pet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil
| | - Rafael V A Zafalon
- Pet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil
| | - Matheus V Macegoza
- Pet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil
| | - Vivian Pedrinelli
- Veterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), Sao Paulo, 13635-900, Brazil
| | - Larissa W Risolia
- Veterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), Sao Paulo, 13635-900, Brazil
| | - Fernanda M M Ocampos
- Brazilian Agricultural Research Corporation (Embrapa-CNPDIA), São Carlos, 13560-970, Brazil
| | | | | | - Eduardo Ferriolli
- Medical School of Ribeirão Preto, University of Sao Paulo (USP), Ribeirão Preto, 14049900, Brazil
| | - Luiz A Colnago
- Brazilian Agricultural Research Corporation (Embrapa-CNPDIA), São Carlos, 13560-970, Brazil
| | - Marcio A Brunetto
- Pet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), 225, Avenida Duque de Caxias Norte, Pirassununga, São Paulo, 13635-900, Brazil.
- Veterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of Sao Paulo (USP), Sao Paulo, 13635-900, Brazil.
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21
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Maternal Malnutrition Affects Hepatic Metabolism through Decreased Hepatic Taurine Levels and Changes in HNF4A Methylation. Int J Mol Sci 2020; 21:ijms21239060. [PMID: 33260590 PMCID: PMC7729756 DOI: 10.3390/ijms21239060] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/22/2020] [Accepted: 11/25/2020] [Indexed: 12/16/2022] Open
Abstract
Fetal programming implies that the maternal diet during pregnancy affects the long-term health of offspring. Although maternal diet influences metabolic disorders and non-alcoholic fatty liver disease in offspring, the hepatic mechanisms related to metabolites are still unknown. Here, we investigated the maternal diet-related alterations in metabolites and the biological pathway in male offspring at three months of age. Pregnant rats were exposed to 50% food restriction during the prenatal period or a 45% high-fat diet during the prenatal and postnatal periods. The male offspring exposed to food restriction and high-fat diets had lower birth weights than controls, but had a catch-up growth spurt at three months of age. Hepatic taurine levels decreased in both groups compared to controls. The decreased hepatic taurine levels in offspring affected excessive lipid accumulation through changes in hepatocyte nuclear factor 4 A methylation. Moreover, the alteration of gluconeogenesis in offspring exposed to food restriction was observed to a similar extent as that of offspring exposed to a high fat diet. These results indicate that maternal diet affects the dysregulation in hepatic metabolism through changes in taurine levels and HNF4A methylation, and predisposes the offspring to Type 2 diabetes and non-alcoholic fatty liver disease in later life.
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22
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Loftfield E, Herzig KH, Caporaso JG, Derkach A, Wan Y, Byrd DA, Vogtmann E, Männikkö M, Karhunen V, Knight R, Gunter MJ, Järvelin MR, Sinha R. Association of Body Mass Index with Fecal Microbial Diversity and Metabolites in the Northern Finland Birth Cohort. Cancer Epidemiol Biomarkers Prev 2020; 29:2289-2299. [PMID: 32855266 PMCID: PMC7642019 DOI: 10.1158/1055-9965.epi-20-0824] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 07/27/2020] [Accepted: 08/18/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Obesity is an established risk factor for multiple cancer types. Lower microbial richness has been linked to obesity, but human studies are inconsistent, and associations of early-life body mass index (BMI) with the fecal microbiome and metabolome are unknown. METHODS We characterized the fecal microbiome (n = 563) and metabolome (n = 340) in the Northern Finland Birth Cohort 1966 using 16S rRNA gene sequencing and untargeted metabolomics. We estimated associations of adult BMI and BMI history with microbial features and metabolites using linear regression and Spearman correlations (rs ) and computed correlations between bacterial sequence variants and metabolites overall and by BMI category. RESULTS Microbial richness, including the number of sequence variants (rs = -0.21, P < 0.0001), decreased with increasing adult BMI but was not independently associated with BMI history. Adult BMI was associated with 56 metabolites but no bacterial genera. Significant correlations were observed between microbes in 5 bacterial phyla, including 18 bacterial genera, and metabolites in 49 of the 62 metabolic pathways evaluated. The genera with the strongest correlations with relative metabolite levels (positively and negatively) were Blautia, Oscillospira, and Ruminococcus in the Firmicutes phylum, but associations varied by adult BMI category. CONCLUSIONS BMI is strongly related to fecal metabolite levels, and numerous associations between fecal microbial features and metabolite levels underscore the dynamic role of the gut microbiota in metabolism. IMPACT Characterizing the associations between the fecal microbiome, the fecal metabolome, and BMI, both recent and early-life exposures, provides critical background information for future research on cancer prevention and etiology.
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Affiliation(s)
- Erikka Loftfield
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
| | - Karl-Heinz Herzig
- Research Unit of Biomedicine, Medical Research Center (MRC), University of Oulu, University Hospital, Oulu, Finland and Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
| | - J Gregory Caporaso
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona
| | - Andriy Derkach
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Yunhu Wan
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Doratha A Byrd
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Emily Vogtmann
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Minna Männikkö
- Northern Finland Birth Cohorts, Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, San Diego, California
- Department of Computer Science and Engineering, University of California San Diego, San Diego, California
- Department of Bioengineering, and Center for Microbiome Innovation, University of California San Diego, San Diego, California
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer-WHO, Lyon, France
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Rashmi Sinha
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
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23
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Satyamitra MM, Cassatt DR, Hollingsworth BA, Price PW, Rios CI, Taliaferro LP, Winters TA, DiCarlo AL. Metabolomics in Radiation Biodosimetry: Current Approaches and Advances. Metabolites 2020; 10:metabo10080328. [PMID: 32796693 PMCID: PMC7465152 DOI: 10.3390/metabo10080328] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/01/2020] [Accepted: 08/06/2020] [Indexed: 12/11/2022] Open
Abstract
Triage and medical intervention strategies for unanticipated exposure during a radiation incident benefit from the early, rapid and accurate assessment of dose level. Radiation exposure results in complex and persistent molecular and cellular responses that ultimately alter the levels of many biological markers, including the metabolomic phenotype. Metabolomics is an emerging field that promises the determination of radiation exposure by the qualitative and quantitative measurements of small molecules in a biological sample. This review highlights the current role of metabolomics in assessing radiation injury, as well as considerations for the diverse range of bioanalytical and sampling technologies that are being used to detect these changes. The authors also address the influence of the physiological status of an individual, the animal models studied, the technology and analysis employed in interrogating response to the radiation insult, and variables that factor into discovery and development of robust biomarker signatures. Furthermore, available databases for these studies have been reviewed, and existing regulatory guidance for metabolomics are discussed, with the ultimate goal of providing both context for this area of radiation research and the consideration of pathways for continued development.
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Affiliation(s)
- Merriline M. Satyamitra
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
- Correspondence: ; Tel.: +1-240-669-5432
| | - David R. Cassatt
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Brynn A. Hollingsworth
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Paul W. Price
- Office of Regulatory Affairs, Division of Allergy, Immunology and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA;
| | - Carmen I. Rios
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Lanyn P. Taliaferro
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Thomas A. Winters
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Andrea L. DiCarlo
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
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Costa AC, Joaquim HPG, Forlenza OV, Gattaz WF, Talib LL. Three plasma metabolites in elderly patients differentiate mild cognitive impairment and Alzheimer's disease: a pilot study. Eur Arch Psychiatry Clin Neurosci 2020; 270:483-488. [PMID: 31218445 DOI: 10.1007/s00406-019-01034-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 06/15/2019] [Indexed: 12/11/2022]
Abstract
The metabolomic profile of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) may suggest potential diagnostic biomarkers and provide information on the pathophysiology of dementia. Our aim was to quantify plasmatic metabolites of AD patients, MCI and controls. We investigated the metabolomic profile-using the AbsoluteIDQ®p180 assay-of 79 older adults with primary cognitive impairment (34 AD and 20 MCI) and 25 healthy elders (controls). A cluster analysis revealed that a combination C12-DC, C12 and PCaaC26:0 could differentiate the patients according to diagnostic. Future studies should combine metabolomic profiles with other biomarkers to identify diagnostic groups.
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Affiliation(s)
- Alana C Costa
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, Rua Dr. Ovídio Pires de Campos, 785, 3º andar, Sao Paulo, 05403-010, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Cientifico e Tecnológico, Sao Paulo, Brazil
| | - Helena P G Joaquim
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, Rua Dr. Ovídio Pires de Campos, 785, 3º andar, Sao Paulo, 05403-010, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Cientifico e Tecnológico, Sao Paulo, Brazil
| | - Orestes V Forlenza
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, Rua Dr. Ovídio Pires de Campos, 785, 3º andar, Sao Paulo, 05403-010, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Cientifico e Tecnológico, Sao Paulo, Brazil
| | - Wagner F Gattaz
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, Rua Dr. Ovídio Pires de Campos, 785, 3º andar, Sao Paulo, 05403-010, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Cientifico e Tecnológico, Sao Paulo, Brazil
| | - Leda L Talib
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, Rua Dr. Ovídio Pires de Campos, 785, 3º andar, Sao Paulo, 05403-010, Brazil. .,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Cientifico e Tecnológico, Sao Paulo, Brazil.
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25
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Human urine 1H NMR metabolomics reveals alterations of protein and carbohydrate metabolism when comparing habitual Average Danish diet vs. healthy New Nordic diet. Nutrition 2020; 79-80:110867. [PMID: 32619792 DOI: 10.1016/j.nut.2020.110867] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Revised: 04/16/2020] [Accepted: 05/02/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The aim of this study was to investigate the alteration of the human urine metabolome by means of diet and to compare the metabolic effects of the nutritionally healthy New Nordic Diet (NND) with an Average Danish Diet (ADD). The NND was designed a decade ago by scientists and chefs, based on local and sustainable foods, including fish, shellfish, vegetables, roots, fruit, and berries. The NND has been proven to lower blood pressure, reduce glycemia, and lead to weight loss. METHODS The human urine metabolome was measured by untargeted proton nuclear magnetic resonance spectroscopy in samples from 142 centrally obese Danes (20-66 years old), randomized to consume the ADD or the NND. The resulting metabolomics data was processed and analyzed using advanced multivariate data analysis methods to reveal effects related to the design factors, including diet, season, sex, and changes in body weight. RESULTS Exploration of the nuclear magnetic resonance profiles revealed unique metabolite markers reflecting changes in protein and carbohydrate metabolism between the two diets. Glycine betaine, glucose, trimethylamine N-oxide and creatinine were increased in urine of the individuals following the NND compared with the ADD population, whereas relative concentrations of tartrate, dimethyl sulfone, and propylene glycol were decreased. Propylene glycol had a strong association with the homeostatic model assessment for insulin resistance in the NND group. The food intake biomarkers found in this study confirm the importance of these as tools for nutritional research. CONCLUSIONS Findings from this study provided new insights into the effects of a healthy diet on glycemia, reduction of inflammation, and weight loss among obese individuals, and alteration of the gut microbiota metabolism.
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26
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Schlueter RJ, Al-Akwaa FM, Benny PA, Gurary A, Xie G, Jia W, Chun SJ, Chern I, Garmire LX. Prepregnant Obesity of Mothers in a Multiethnic Cohort Is Associated with Cord Blood Metabolomic Changes in Offspring. J Proteome Res 2020; 19:1361-1374. [PMID: 31975597 DOI: 10.1021/acs.jproteome.9b00319] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Maternal obesity has become a growing global health concern that may predispose the offspring to medical conditions later in life. However, the metabolic link between maternal prepregnant obesity and healthy offspring has not yet been fully elucidated. In this study, we conducted a case-control study using a coupled untargeted and targeted metabolomic approach from the newborn cord blood metabolomes associated with a matched maternal prepregnant obesity cohort of 28 cases and 29 controls. The subjects were recruited from multiethnic populations in Hawaii, including rarely reported Native Hawaiian and other Pacific Islanders (NHPI). We found that maternal obesity was the most important factor contributing to differences in cord blood metabolomics. Using an elastic net regularization-based logistic regression model, we identified 29 metabolites as potential early-life biomarkers manifesting intrauterine effect of maternal obesity, with accuracy as high as 0.947 after adjusting for clinical confounding (maternal and paternal age, ethnicity, parity, and gravidity). We validated the model results in a subsequent set of samples (N = 30) with an accuracy of 0.822. Among the metabolites, six metabolites (galactonic acid, butenylcarnitine, 2-hydroxy-3-methylbutyric acid, phosphatidylcholine diacyl C40:3, 1,5-anhydrosorbitol, and phosphatidylcholine acyl-alkyl 40:3) were individually and significantly different between the maternal obese and normal-weight groups. Interestingly, hydroxy-3-methylbutyric acid showed significantly higher levels in cord blood from the NHPI group compared to that from Asian and Caucasian groups. In summary, significant associations were observed between maternal prepregnant obesity and offspring metabolomic alternation at birth, revealing the intergenerational impact of maternal obesity.
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Affiliation(s)
- Ryan J Schlueter
- Department of Obstetrics and Gynecology, University of Hawaii, 1319 Punahou St Ste 824, Honolulu, Hawaii 96826, United States
| | - Fadhl M Al-Akwaa
- Department of Computational Medicine and Bioinformatics, North Campus Research Complex, University of Michigan, 1600 Huron Parkway, Ann Arbor, Michigan 48105, United States
| | - Paula A Benny
- Department of Epidemiology, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States
| | - Alexandra Gurary
- John A. Burns School of Medicine, Department of Tropical Medicine, Medical Microbiology and Pharmacology, University of Hawaii, 651 Ilalo Street, Bioscience Building 320, Honolulu, Hawaii 96813, United States
| | - Guoxiang Xie
- Metabolomics Shared Resource, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States
| | - Wei Jia
- Metabolomics Shared Resource, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States
| | - Shaw J Chun
- Department of Epidemiology, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States
| | - Ingrid Chern
- Department of Obstetrics and Gynecology, University of Hawaii, 1319 Punahou St Ste 824, Honolulu, Hawaii 96826, United States
| | - Lana X Garmire
- Department of Computational Medicine and Bioinformatics, North Campus Research Complex, University of Michigan, 1600 Huron Parkway, Ann Arbor, Michigan 48105, United States
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Qiu S, Zhang AH, Guan Y, Sun H, Zhang TL, Han Y, Yan GL, Wang XJ. Functional metabolomics using UPLC-Q/TOF-MS combined with ingenuity pathway analysis as a promising strategy for evaluating the efficacy and discovering amino acid metabolism as a potential therapeutic mechanism-related target for geniposide against alcoholic liver disease. RSC Adv 2020; 10:2677-2690. [PMID: 35496090 PMCID: PMC9048633 DOI: 10.1039/c9ra09305b] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Accepted: 12/03/2019] [Indexed: 12/13/2022] Open
Abstract
Metabolomics has been used as a strategy to evaluate the efficacy of and potential targets for natural products.
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Affiliation(s)
- Shi Qiu
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Ai-hua Zhang
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Yu Guan
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Hui Sun
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Tian-lei Zhang
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Ying Han
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Guang-li Yan
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
| | - Xi-jun Wang
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Metabolomics Laboratory
- Department of Pharmaceutical Analysis
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Rangel-Huerta OD, Pastor-Villaescusa B, Gil A. Are we close to defining a metabolomic signature of human obesity? A systematic review of metabolomics studies. Metabolomics 2019; 15:93. [PMID: 31197497 PMCID: PMC6565659 DOI: 10.1007/s11306-019-1553-y] [Citation(s) in RCA: 127] [Impact Index Per Article: 25.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Accepted: 06/01/2019] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Obesity is a disorder characterized by a disproportionate increase in body weight in relation to height, mainly due to the accumulation of fat, and is considered a pandemic of the present century by many international health institutions. It is associated with several non-communicable chronic diseases, namely, metabolic syndrome, type 2 diabetes mellitus (T2DM), cardiovascular diseases (CVD), and cancer. Metabolomics is a useful tool to evaluate changes in metabolites due to being overweight and obesity at the body fluid and cellular levels and to ascertain metabolic changes in metabolically unhealthy overweight and obese individuals (MUHO) compared to metabolically healthy individuals (MHO). OBJECTIVES We aimed to conduct a systematic review (SR) of human studies focused on identifying metabolomic signatures in obese individuals and obesity-related metabolic alterations, such as inflammation or oxidative stress. METHODS We reviewed the literature to identify studies investigating the metabolomics profile of human obesity and that were published up to May 7th, 2019 in SCOPUS and PubMed through an SR. The quality of reporting was evaluated using an adapted of QUADOMICS. RESULTS Thirty-three articles were included and classified according to four types of approaches. (i) studying the metabolic signature of obesity, (ii) studying the differential responses of obese and non-obese subjects to dietary challenges (iii) studies that used metabolomics to predict weight loss and aimed to assess the effects of weight loss interventions on the metabolomics profiles of overweight or obese human subjects (iv) articles that studied the effects of specific dietary patterns or dietary compounds on obesity-related metabolic alterations in humans. CONCLUSION The present SR provides state-of-the-art information about the use of metabolomics as an approach to understanding the dynamics of metabolic processes involved in human obesity and emphasizes metabolic signatures related to obesity phenotypes.
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Affiliation(s)
- Oscar Daniel Rangel-Huerta
- Faculty of Medicine, Department of Nutrition, University of Oslo, Oslo, Norway
- Norwegian Veterinary Institute, Oslo, Norway
| | - Belén Pastor-Villaescusa
- LMU - Ludwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
| | - Angel Gil
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix, Centre for Biomedical Research, University of Granada", Granada, Spain.
- Instituto de Investigación Biosanitaria ibs-Granada, Granada, Spain.
- Physiopathology of Obesity and Nutrition Networking Biomedical Research Centre (CIBEROBN), Madrid, Spain.
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Abdul Ghani ZDF, Ab Rashid AH, Shaari K, Chik Z. Urine NMR Metabolomic Study on Biochemical Activities to Investigate the Effect of P. betle Extract on Obese Rats. Appl Biochem Biotechnol 2019; 189:690-708. [DOI: 10.1007/s12010-019-03042-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 05/10/2019] [Indexed: 12/11/2022]
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Bagheri M, Djazayery A, Farzadfar F, Qi L, Yekaninejad MS, Aslibekyan S, Chamari M, Hassani H, Koletzko B, Uhl O. Plasma metabolomic profiling of amino acids and polar lipids in Iranian obese adults. Lipids Health Dis 2019; 18:94. [PMID: 30967146 PMCID: PMC6456979 DOI: 10.1186/s12944-019-1037-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 03/29/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Obesity, widely recognized as a serious health concern, is characterized by profoundly altered metabolism. However, the intermediate metabolites involved in this change remain largely unknown. OBJECTIVE We conducted targeted metabolomics profiling to identify moieties associated with adult obesity. METHODS In this case-control study of Iranian adults, 200 obese patients were compared with 100 controls based on 104 metabolites profiled by a targeted metabolomic approach using liquid chromatography coupled to triple quadrupole mass spectrometry (LC-MS/MS). The analysis comprised acylcarnitines, diacyl-phosphatidylcholines (PCaa), acyl-alkyl-phosphatidylcholines (PCae), sphingomyelins (SM), lyso-phospholipids (LPC) and amino acids. We performed multivariable linear regression to identify metabolites associated with obesity, adjusting for age, sex, total energy intake, total physical activity, smoking, and alcohol consumption. The Bonferroni correction was used to adjust for multiple testing. RESULTS A pattern of 19 metabolites was significantly associated with obesity. Branched chain amino acids, alanine, glutamic acid, proline, tyrosine LPCa C16:1, PCaa C32:1, PCaa C32:2 and PCaa C38:3 were positively, while serine, asparagine, LPCa C18:1, LPCa C18:2, LPCe C18:0, PCae C34:3, PCae C38:4 and PCae C40:6 were negatively associated with obesity (all p < 0.00048). CONCLUSIONS A metabolomic profile containing 9 amino acids and 10 polar lipids may serve as a potential biomarker of adult obesity. Further studies are warranted to replicate these findings as well as investigate potential changes in this profile after weight reduction.
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Affiliation(s)
- Minoo Bagheri
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, No 44, Hojjat-dost Alley, Naderi St., Keshavarz Blvd, Tehran, 1416-643931 Iran
| | - Abolghasem Djazayery
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, No 44, Hojjat-dost Alley, Naderi St., Keshavarz Blvd, Tehran, 1416-643931 Iran
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Lu Qi
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Mir Saeed Yekaninejad
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Maryam Chamari
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, No 44, Hojjat-dost Alley, Naderi St., Keshavarz Blvd, Tehran, 1416-643931 Iran
| | - Hossein Hassani
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, No 44, Hojjat-dost Alley, Naderi St., Keshavarz Blvd, Tehran, 1416-643931 Iran
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Ludwig-Maximilians-Universität München, Dr. von Hauner Children’s Hospital, 80337 Munich, Germany
| | - Olaf Uhl
- Division of Metabolic and Nutritional Medicine, Ludwig-Maximilians-Universität München, Dr. von Hauner Children’s Hospital, 80337 Munich, Germany
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Söder J, Höglund K, Dicksved J, Hagman R, Eriksson Röhnisch H, Moazzami AA, Wernersson S. Plasma metabolomics reveals lower carnitine concentrations in overweight Labrador Retriever dogs. Acta Vet Scand 2019; 61:10. [PMID: 30808390 PMCID: PMC6390349 DOI: 10.1186/s13028-019-0446-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 02/18/2019] [Indexed: 12/20/2022] Open
Abstract
Background The prevalence of overweight is increasing in dogs, but the metabolic events related to this condition are still poorly understood. The purpose of the study was to investigate the postprandial response of plasma metabolites using a meal-challenge test and to identify metabolic variations related to spontaneous overweightness in privately owned dogs. Results Twenty-eight healthy male intact Labrador Retriever dogs were included, 12 of which were classified as lean (body condition score (BCS) 4–5 on a 9-point scale) and 16 as overweight (BCS 6–8). After an overnight fast (14–17 h), blood samples were collected and dogs were thereafter fed a high-fat meal. Postprandial blood samples were collected hourly four times. Plasma metabolites were identified by nuclear magnetic resonance. Postprandial metabolomes differed from the fasting metabolome in multivariate discriminant analysis (PLS-DA: Q2Y = 0.31–0.63, cross-validated ANOVA: P ≤ 0.00014) Eleven metabolites, all amino acids, contributed to the separations. Carnitine was identified as a metabolite related to overweight (stepwise logistic regression analysis P ≤ 0.03) and overweight dogs had overall lower carnitine response (mixed model repeated measures analysis P = 0.005) than lean dogs. Notably, mean fasting carnitine concentration in overweight dogs (9.4 ± 4.2 µM) was close to a proposed reference limit for carnitine insufficiency. Conclusions A postprandial amino acid response was detected but no time-dependent variations with regards to body condition groups were found. Lower carnitine concentrations were found in overweight compared to lean dogs. The latter finding could indicate a carnitine insufficiency related to spontaneous adiposity and altered lipid metabolism in overweight dogs in this cohort of otherwise healthy Labrador Retrievers. Electronic supplementary material The online version of this article (10.1186/s13028-019-0446-4) contains supplementary material, which is available to authorized users.
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Yang L, Zhao Y, Pan Y, Li D, Zheng G. Dietary supplement of Smilax china L. ethanol extract alleviates the lipid accumulation by activating AMPK pathways in high-fat diet fed mice. Nutr Metab (Lond) 2019; 16:6. [PMID: 30679938 PMCID: PMC6341655 DOI: 10.1186/s12986-019-0333-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 01/07/2019] [Indexed: 01/21/2023] Open
Abstract
Background Obesity has become a public health concern worldwide because it is linked to numerous metabolic disorders, such as hyperlipidemia, hypertension and cardiovascular disease. Therefore, there is an urgent need to develop new therapeutic strategies that are efficacious and have minimal side effects in obesity treatment. This study examined the effect of dietary supplement of Smilax china L. ethanol extract (SCLE) on high-fat diet (HFD) induced obesity. Methods Fifty ICR mice were fed a normal diet, high-fat diet (HFD) or HFD supplemented with 0.25, 0.5% or 1% SCLE for 8 weeks. Body weight, intraperitioneal adipose tissue (IPAT) weight, serum biochemical parameters, and liver lipids were measured. Activity, mRNA and protein expressions of lipid metabolism-related enzymes were analyzed. Results Over 0.5% SCLE had reduced cholesterol biosynthesis by the activation of AMP-activated protein kinase (AMPK), which subsequently suppressed the mRNA expression of both sterol regulatory element binding protein-2 and 3-hydroxy-3-methyl-glutaryl-CoA reductase. Thus, the plasma and liver cholesterol concentrations in the HFD-fed mice were decreased. AMPK activation caused by SCLE also significantly upregulated lipolysis by enhancing adipose triglyceride lipase and hormone-sensitive lipase activities. This accelerated triglyceride hydrolysis and fatty acid release. Finally, SCLE increased carnitine palmitoyltransferase 1 and acyl-CoA oxidase activities, which further promoted fatty acid β-oxidation. Conclusion SCLE could lead to a decrease in body weight gain and fat mass by inhibiting the lipid synthesis and promoting lipolysis and β-oxidation in HFD fed mice. The underlying mechanism is probably associated with regulating AMPK pathway.
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Affiliation(s)
- Licong Yang
- Jiangxi Key Laboratory of Natural Product and Functional Food, College of Food Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045 China
| | - Yan Zhao
- Jiangxi Key Laboratory of Natural Product and Functional Food, College of Food Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045 China
| | - Yongfang Pan
- Jiangxi Key Laboratory of Natural Product and Functional Food, College of Food Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045 China
| | - Dongming Li
- Jiangxi Key Laboratory of Natural Product and Functional Food, College of Food Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045 China
| | - Guodong Zheng
- Jiangxi Key Laboratory of Natural Product and Functional Food, College of Food Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045 China
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Wang XJ, Gao X, Zhang AH, Wu FF, Yan GL, Sun H. High-throughput metabolomics for evaluating the efficacy and discovering the metabolic mechanism of Luozhen capsules from the excessive liver-fire syndrome of hypertension. RSC Adv 2019; 9:32141-32153. [PMID: 35530762 PMCID: PMC9072971 DOI: 10.1039/c9ra06622e] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 09/19/2019] [Indexed: 12/27/2022] Open
Abstract
Essential hypertension (EH) is a chronic disease characterized by a variety of causes of elevated systemic arterial pressure, which often causes functional or organic damage to important organs such as the heart, brain, and kidney. Hypertension of excessive liver-fire syndrome is a type of classification for young people with essential hypertension. The disease is slower in its onset and its symptoms are more ambiguous, and thus its pathogenesis is complicated and still unclear. In this study, aconite, dried ginger and cinnamon extracts were combined with l-NAME to establish a model of excessive liver-fire hypertension. Blood pressure (systolic blood pressure), ANGII, NE and 5-HT were used as evaluation indicators to establish the model. Urinary metabolomics based on ultra-high performance liquid chromatography coupled with quadruple time-of-flight mass spectrometry was used to characterize the metabolic changes and potential biomarkers in modeled rats. Compared to the treatment group, 32 potential biomarkers were initially identified in the model using multivariate statistical analysis involving 11 metabolic pathways. After oral administration of Luozhen capsules, eight biomarkers that can be adjusted in high, medium and low doses of Luozhen capsules in urine were preliminarily determined, mainly involving two metabolic pathways of amino acid metabolism and lipid metabolism. In conclusion, this study explored the metabolomic changes in rats with hypertension of liver-fire hyperactivity syndrome and the post-dose metabolomics, determined the relevant biomarker groups, and clarified the metabonomic connotation of Luozhen capsules in the treatment of liver-fire excessive type hypertension. Essential hypertension (EH) is a chronic disease characterized by a variety of causes of elevated systemic arterial pressure, which often causes functional or organic damage to important organs such as the heart, brain, and kidney.![]()
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Affiliation(s)
- Xi-jun Wang
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
| | - Xin Gao
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
| | - Ai-hua Zhang
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
| | - Fang-fang Wu
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
| | - Guang-li Yan
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
| | - Hui Sun
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
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Zhang HL, Zhang AH, Miao JH, Sun H, Yan GL, Wu FF, Wang XJ. Targeting regulation of tryptophan metabolism for colorectal cancer therapy: a systematic review. RSC Adv 2019; 9:3072-3080. [PMID: 35518968 PMCID: PMC9060217 DOI: 10.1039/c8ra08520j] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 12/23/2018] [Indexed: 12/22/2022] Open
Abstract
Colorectal cancer (CRC) is one of the most malignant cancers resulting from abnormal metabolism alterations. As one of the essential amino acids, tryptophan has a variety of physiological functions, closely related to regulation of immune system, central nervous system, gastrointestinal nervous system and intestinal microflora. Colorectal cancer, a type of high-grade malignancy disease, stems from a variety of factors and often accompanies inflammatory reactions, dysbacteriosis, and metabolic disorders. Colorectal cancer accompanies inflammation and imbalance of intestinal microbiota and affects tryptophan metabolism. It is known that metabolites, rate-limiting enzymes, and ARH in tryptophan metabolism are associated with the development of CRC. Specifically, IDO1 may be a potential therapeutic target in colorectal cancer treatment. Furthermore, the reduction of tryptophan amount is proportional to the poor quality of life for colorectal cancer patients. This paper aims to discuss the role of tryptophan metabolism in a normal organism and investigate the relationship between this amino acid and colorectal cancer. This study is expected to provide theoretical support for research related to targeted therapy for colorectal cancer. Furthermore, strategies that modify tryptophan metabolism, effectively inhibiting tumor progression, may be more effective for CRC treatment. Colorectal cancer (CRC) is one of the most malignant cancers resulting from abnormal metabolism alterations.![]()
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Affiliation(s)
- Hong-lian Zhang
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- Sino-America Chinmedomics Technology Collaboration Center
| | - Ai-hua Zhang
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Chinmedomics Research Center of State Administration of TCM
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Jian-hua Miao
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
| | - Hui Sun
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Chinmedomics Research Center of State Administration of TCM
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Guang-li Yan
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Chinmedomics Research Center of State Administration of TCM
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Fang-fang Wu
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- Sino-America Chinmedomics Technology Collaboration Center
| | - Xi-jun Wang
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- Sino-America Chinmedomics Technology Collaboration Center
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Li TP, Zhang AH, Miao JH, Sun H, Yan GL, Wu FF, Wang XJ. Applications and potential mechanisms of herbal medicines for rheumatoid arthritis treatment: a systematic review. RSC Adv 2019; 9:26381-26392. [PMID: 35685403 PMCID: PMC9127666 DOI: 10.1039/c9ra04737a] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 08/04/2019] [Indexed: 12/12/2022] Open
Abstract
In this review, we systematically discuss the role of traditional Chinese medicine (TCM) in rheumatoid arthritis (RA) disease treatment. TCM classifies the subtypes of RA through its own theoretical method, which is beneficial for more accurate diagnosis and treatment with Chinese herbal medicines (CHMs) that are more suitable for different syndromes. TCM mainly uses a flexible combination of CHMs to play an important role in RA treatment. The main components of these extracts can be subdivided into alkaloids, flavonoids, triterpenes, saponins and other compounds. Using a platform of transgenic and induced arthritis models, we explore the potential mechanisms of TCM against RA with the help of omics analysis techniques and methods. These mechanisms are mainly CHM and its extracts can inhibit RA patients and experimental animal models, including synovitis, vascular proliferation and bone injury; this involves many biological signal exchange targets and pathways. In conclusion, the role of TCM in RA treatment mainly involves reducing the expression and secretion of pro-inflammatory factors, thus decreasing the degree of abnormal immune response. In this review, we systematically discuss the role of traditional Chinese medicine (TCM) in rheumatoid arthritis (RA) disease treatment.![]()
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Affiliation(s)
- Tai-ping Li
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
| | - Ai-hua Zhang
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Jian-hua Miao
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
| | - Hui Sun
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Guang-li Yan
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
- National TCM Key Laboratory of Serum Pharmacochemistry
- Laboratory of Metabolomics
- Department of Pharmaceutical Analysis
| | - Fang-fang Wu
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
| | - Xi-jun Wang
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- Nanning
- China
- National Chinmedomics Research Center
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Zhou K, Ding X, Yang J, Hu Y, Song Y, Chen M, Sun R, Dong T, Xu B, Han X, Wu K, Zhang X, Wang X, Xia Y. Metabolomics Reveals Metabolic Changes Caused by Low-Dose 4-Tert-Octylphenol in Mice Liver. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15122686. [PMID: 30487447 PMCID: PMC6313621 DOI: 10.3390/ijerph15122686] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 11/19/2018] [Accepted: 11/25/2018] [Indexed: 01/16/2023]
Abstract
Background: Humans are constantly exposed to low concentrations of 4-tert-octylphenol (OP). However, studies investigating the effects of low-dose OP on the liver are scarce, and the mechanism of these effects has not been thoroughly elucidated to date. Methods: Adult male institute of cancer research (ICR) mice were exposed to low-dose OP (0, 0.01 and 1 μg/kg/day) for 7 consecutive days. Weights of mice were recorded daily during the experiment. Blood serum levels of OP, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were determined, and haematoxylin-eosin (HE) staining of the liver was performed. We applied an integrated metabolomic and enzyme gene expression analysis to investigate liver metabolic changes, and the gene expression of related metabolic enzymes was determined by real-time PCR and ELISA. Results: OP in blood serum was increased after OP exposure, while body weights of mice were unchanged. Liver weight and its organ coefficient were decreased significantly in the OP (1 μg/kg/day) group, but ALT and AST, as well as the HE staining results, were unchanged after OP treatment. The levels of cytidine, uridine, purine and N-acetylglutamine were increased significantly, and the level of vitamin B6 was decreased significantly in mice treated with OP (1 μg/kg/day). The mRNA and protein levels of Cda and Shmt1 were both increased significantly in OP (1 μg/kg/day)-treated mice. Conclusions: Through metabolomic analysis, our study firstly found that pyrimidine and purine synthesis were promoted and that N-acetylglutamine was upregulated after low-dose OP treatment, indicating that the treatment disturbed nucleic acid and amino acid metabolism in mice liver.
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Affiliation(s)
- Kun Zhou
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Xingwang Ding
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Jing Yang
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
| | - Yanhui Hu
- Safety Assessment and Research Center for Drug, Pesticide, and Veterinary Drug of Jiangsu Province, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Yun Song
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Minjian Chen
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Rongli Sun
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
| | - Tianyu Dong
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Xiumei Han
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Keqin Wu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Xiaoling Zhang
- Department of Hygienic Analysis and Detection, Nanjing Medical University, Nanjing 211166, China.
| | - Xinru Wang
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
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Side effects of methotrexate therapy for rheumatoid arthritis: A systematic review. Eur J Med Chem 2018; 158:502-516. [PMID: 30243154 DOI: 10.1016/j.ejmech.2018.09.027] [Citation(s) in RCA: 295] [Impact Index Per Article: 49.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 09/06/2018] [Accepted: 09/09/2018] [Indexed: 12/27/2022]
Abstract
Methotrexate (MTX) is used as an anchor disease-modifying anti-rheumatic drugs (DMARDs) in treating rheumatoid arthritis (RA) because of its potent efficacy and tolerability. MTX benefits a large number of RA patients but partially suffered from side effects. A variety of side effects can be associated with MTX when treating RA patients, from mild to severe or discontinuation of the treatment. In this report, we reviewed the possible side effects that MTX might cause from the most common gastrointestinal toxicity effects to less frequent malignant diseases. In order to achieve regimen with less side effects, the administration of MTX with appropriate dose and a careful pretreatment inspection is necessary. Further investigations are required when combining MTX with other drugs so as to enhance the efficacy and reduce side effects at the same time. The management of MTX treatment is also discussed to provide strategies for occurred side effects. Thus, this review will provide scholars with a comprehensive understanding the side effects of MTX administration by RA patients.
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Forster GM, Stockman J, Noyes N, Heuberger AL, Broeckling CD, Bantle CM, Ryan EP. A Comparative Study of Serum Biochemistry, Metabolome and Microbiome Parameters of Clinically Healthy, Normal Weight, Overweight, and Obese Companion Dogs. Top Companion Anim Med 2018; 33:126-135. [PMID: 30502863 DOI: 10.1053/j.tcam.2018.08.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 07/30/2018] [Accepted: 08/11/2018] [Indexed: 12/20/2022]
Abstract
The aim of this study was to compare fecal microbiome, plasma, fecal and urine metabolomes, and serum biochemistry of adult companion dogs according to body condition scores. Blood, serum/plasma, urine, and fecal samples were collected from 66 clinically healthy, adult companion dogs of either normal weight (NW), overweight (OW), or obese dogs (OB). analyses included fecal microbiome analyses via 16S ribosomal RNA gene amplicon; sequencing, nontargeted plasma, fecal, and urine metabolomics using liquid chromatography/gas chromatography-mass; spectrometry, and serum biochemistry for each dog. Few significant differences in serum biochemistry and fecal microbiome Operational Taxonomic Unit (OTU) were found between weight groups and there was high OTU variation between individual dogs. NW dogs had higher relative abundance of the genus Eubacterium (log-fold change 4.3, adjusted P value = .003) and lower relative abundance of the family Bifidobacteriaceae (log-fold change -3.6, adjusted P value = .02) compared to OB dogs. The microbiome of NW dogs had higher OTU richness compared with OB dogs. Metabolome analysis showed 185 plasma, 37 fecal, and 45 urine metabolites that significantly differed between NW and OW or OB dogs. There were notable significant differences in relative abundance of several plasma phospholipid moieties and fecal volatile fatty acids between weight phenotypes. The combinations of host and gut microbiota and metabolic shifts suggest a pattern that could help detection of early metabolic changes in overweight dogs before the development of obesity related disease. The results of this study support the need for continued investigation into sensitive measures of metabolic aberrancies in overweight dogs.
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Affiliation(s)
- Genevieve M Forster
- College of Veterinary Medicine and Biomedical Sciences, Departments of Clinical Sciences, Colorado State University, Fort Collins, CO, USA; College of Veterinary Medicine and Biomedical Sciences, Environmental and Radiological Health Sciences Colorado State University, Fort Collins, CO, USA
| | - Jonathan Stockman
- College of Veterinary Medicine and Biomedical Sciences, Departments of Clinical Sciences, Colorado State University, Fort Collins, CO, USA; College of Veterinary Medicine and Biomedical Sciences, Environmental and Radiological Health Sciences Colorado State University, Fort Collins, CO, USA
| | - Noelle Noyes
- College of Veterinary Medicine and Biomedical Sciences, Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, USA
| | - Adam L Heuberger
- College of Agricultural Sciences, Departments of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, USA
| | - Corey D Broeckling
- College of Agricultural Sciences, Proteomics and Metabolomics Facility, Colorado State University, Fort Collins, CO, USA
| | - Collin M Bantle
- College of Veterinary Medicine and Biomedical Sciences, Environmental and Radiological Health Sciences Colorado State University, Fort Collins, CO, USA
| | - Elizabeth P Ryan
- College of Veterinary Medicine and Biomedical Sciences, Environmental and Radiological Health Sciences Colorado State University, Fort Collins, CO, USA.
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Pomar CA, Kuda O, Kopecky J, Rombaldova M, Castro H, Picó C, Sánchez J, Palou A. Alterations in plasma acylcarnitine and amino acid profiles may indicate poor nutrition during the suckling period due to maternal intake of an unbalanced diet and may predict later metabolic dysfunction. FASEB J 2018; 33:796-807. [DOI: 10.1096/fj.201800327rr] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Catalina A. Pomar
- Laboratory of Molecular BiologyNutrition, and Biotechnology (Nutrigenomics and Obesity) Palma de Mallorca Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN)University of the Balearic Islands Palma de Mallorca Spain
| | - Ondrej Kuda
- Department of Adipose Tissue BiologyInstitute of Physiology of the Czech Academy of Sciences Prague Czech Republic
| | - Jan Kopecky
- Department of Adipose Tissue BiologyInstitute of Physiology of the Czech Academy of Sciences Prague Czech Republic
| | - Martina Rombaldova
- Department of Adipose Tissue BiologyInstitute of Physiology of the Czech Academy of Sciences Prague Czech Republic
| | - Heriberto Castro
- Laboratory of Molecular BiologyNutrition, and Biotechnology (Nutrigenomics and Obesity) Palma de Mallorca Spain
- Facultad de Salud Pública y NutriciónUniversidad Autónoma de Nuevo León Nuevo León México
| | - Catalina Picó
- Laboratory of Molecular BiologyNutrition, and Biotechnology (Nutrigenomics and Obesity) Palma de Mallorca Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN)University of the Balearic Islands Palma de Mallorca Spain
- Instituto de Investigación Sanitaria Illes Balears Palma de Mallorca Spain
| | - Juana Sánchez
- Laboratory of Molecular BiologyNutrition, and Biotechnology (Nutrigenomics and Obesity) Palma de Mallorca Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN)University of the Balearic Islands Palma de Mallorca Spain
- Instituto de Investigación Sanitaria Illes Balears Palma de Mallorca Spain
| | - Andreu Palou
- Laboratory of Molecular BiologyNutrition, and Biotechnology (Nutrigenomics and Obesity) Palma de Mallorca Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN)University of the Balearic Islands Palma de Mallorca Spain
- Instituto de Investigación Sanitaria Illes Balears Palma de Mallorca Spain
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Miller AL, Lumeng JC. Pathways of Association from Stress to Obesity in Early Childhood. Obesity (Silver Spring) 2018; 26:1117-1124. [PMID: 29656595 DOI: 10.1002/oby.22155] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 01/22/2018] [Accepted: 01/22/2018] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The objective of this study is to critically review the literature on early life stress in relation to obesity in humans, including the multiple biological and behavioral mechanisms through which early life stress exposure (birth to the age of 5 years) may associate with obesity risk during childhood. METHODS A review of the literature was conducted to identify studies on associations between early childhood stress and risk for obesity and the mechanisms of association. Multiple databases (PubMed, PsycInfo, Google Scholar) were used in the search as well as a "snowball" search strategy. All study designs were included. RESULTS Early life stress and adverse childhood experiences are associated with obesity and overweight in adults. Evidence is less consistent in children. Studies vary in the nature of the stress examined (e.g., chronic vs. acute), sample characteristics, and study designs. Longitudinal studies are needed, as the effects of early life stress exposure may not emerge until later in the life-span. Early life stress exposure is associated with biological and behavioral pathways that may increase risk for childhood obesity. CONCLUSIONS There is evidence that early life stress is associated with multiple biological and behavioral pathways in children that may increase risk for later obesity. Little work has detailed the interconnections among these mechanisms across development or identified potential moderators of the association. Mapping the mechanisms connecting early life stress exposure to obesity risk in young children longitudinally should be a priority for obesity researchers. Recommendations for developmentally sensitive approaches to research that can inform obesity prevention strategies are presented.
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Affiliation(s)
- Alison L Miller
- Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
- Center for Human Growth and Development, University of Michigan, Ann Arbor, Michigan, USA
| | - Julie C Lumeng
- Center for Human Growth and Development, University of Michigan, Ann Arbor, Michigan, USA
- Department of Pediatrics, University of Michigan Medical School, University of Michigan, Ann Arbor, Michigan, USA
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
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Feeding a slowly digestible carbohydrate diet during pregnancy of insulin-resistant rats prevents the excess of adipogenesis in their offspring. J Nutr Biochem 2018; 61:183-196. [PMID: 30253280 DOI: 10.1016/j.jnutbio.2018.05.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 05/17/2018] [Accepted: 05/31/2018] [Indexed: 12/25/2022]
Abstract
An obesogenic environment during pregnancy has been shown to increase the risk of dysregulation on adipogenesis and insulin resistance in the offspring. Being essential for the growing fetus, glucose supply is guaranteed by a number of modifications in the mother's metabolism, and thus, glucose control during pregnancy especially among obese or diabetic women is paramount to prevent adverse consequences in their children. Besides the election of low-glycemic-index carbohydrates, the rate of carbohydrate digestion could be relevant to keep a good glucose control. In the present study, we compared the effects of two high-fat diets with similar glycemic load but different rates of carbohydrate digestion given to pregnant insulin-resistant rats. After birth, all animals were fed a standard diet until age 14 weeks. We analyzed offspring body composition, plasma and adipocyte lipidomics, lipid metabolism in adipose tissue and insulin sensitivity. Those animals whose mothers were fed the rapid-digesting carbohydrate diet exhibited an excessive adipogenesis. Thus, these animals showed a marked lipidemia, increased lipid synthesis in the adipose tissue and reduced glucose transporter amount in the adipose. On the contrary, those animals whose mothers were fed the slow-digesting carbohydrate diet showed a profile in the measured parameters closer to that of the offspring of healthy mothers. These results support the hypothesis that not only glycemic index but the rate of carbohydrate digestion during gestation may be critical to regulate the programming of adipogenesis in the offspring.
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Effectiveness of vitamin D therapy in improving metabolomic biomarkers in obesity phenotypes: Two randomized clinical trials. Int J Obes (Lond) 2018; 42:1782-1796. [PMID: 29892041 DOI: 10.1038/s41366-018-0107-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 02/28/2018] [Accepted: 04/04/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Uncertainty remains about the effect of vitamin D therapy on biomarkers of health status in obesity. The molecular basis underlying this controversy is largely unknown. OBJECTIVE To address the existing gap, our study sought to compare changes in metabolomic profiles of obesity phenotypes (metabolically healthy obese (MHO) and metabolically unhealthy obese (MUHO)) patients with sub-optimal levels of vitamin D following vitamin D supplementation. METHODS We conducted two randomized double-blind clinical trials on participants with either of the two obesity phenotypes from Tehran province. These phenotypes were determined by the Adult Treatment Panel-III criteria. Patients in each of the MHO (n = 110) and MUHO (n = 105) groups were separately assigned to receive either vitamin D (4000 IU/d) or placebo for 4 months. Pre- and post-supplementation plasma metabolomic profiling were performed using Liquid chromatography coupled to a triple quadrupole mass spectrometry. Multivariable linear regression was used to explore the association of change in each metabolite with the trial assignment (vitamin D/placebo) across obesity phenotypes. RESULTS Metabolites (n = 104) were profiled in 82 MHO and 78 MUHO patients. After correction for multiple comparisons, acyl-lysophosphatidylcholines C16:0, C18:0, and C18:1, diacyl-phosphatidylcholines C32:0, C34:1, C38:3, and C38:4, and sphingomyelin C40:4 changed significantly in response to vitamin D supplementation only in MUHO phenotype. The interaction analysis revealed that vitamin D therapy was different between the two obesity phenotypes based on acyl-lysophosphatidylcholines C16:0 and C16:1 and citrulline which were altered significantly after supplementation. Changes in metabolites were associated with changes in cardiometabolic biomarkers after the intervention. CONCLUSIONS Vitamin D treatment influenced the obesity-related plasma metabolites only in adults with obesity and metabolically unhealthy phenotype. Therefore, not all patients with obesity may benefit from an identical strategy for vitamin D therapy. These findings provide mechanistic basis highlighting the potential of precision medicine to mitigate diseases in health-care settings.
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Identification of metabolic phenotypes in childhood obesity by 1H NMR metabolomics of blood plasma. Future Sci OA 2018; 4:FSO310. [PMID: 30057787 PMCID: PMC6060399 DOI: 10.4155/fsoa-2017-0146] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 04/05/2018] [Indexed: 12/18/2022] Open
Abstract
Aim: To identify the plasma metabolic profile associated with childhood obesity and its metabolic phenotypes. Materials & methods: The plasma metabolic profile of 65 obese and 37 normal-weight children was obtained using proton NMR spectroscopy. NMR spectra were rationally divided into 110 integration regions, which reflect relative metabolite concentrations, and were used as statistical variables. Results: Obese children show increased levels of lipids, N-acetyl glycoproteins, and lactate, and decreased levels of several amino acids, α-ketoglutarate, glucose, citrate, and cholinated phospholipids as compared with normal-weight children. Metabolically healthy children show lower levels of lipids and lactate, and higher levels of several amino acids and cholinated phospholipids, as compared with unhealthy children. Conclusion: This study reveals new valuable findings in the field of metabolomics and childhood obesity. Although validation should be performed, the proof of principle looks promising and justifies a deeper investigation of the diagnostic possibilities of proton NMR metabolomics in follow-up studies. Trial registration: NCT03014856. Registered January 9, 2017.
The plasma metabolic profile of childhood obesity and its metabolic phenotypes was identified using untargeted proton NMR spectroscopy combined with multivariate statistics. Obese children show increased plasma levels of lipids, N-acetyl glycoproteins and lactate, next to decreased levels of several amino acids, α-ketoglutarate, glucose, citrate and cholinated phospholipids as compared with normal-weight children. In addition, the metabolic profile of healthy and unhealthy obese children could be discriminated and although further validation should be performed, these findings might pave the way to a detailed diagnostic metabolic signature in children.
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Dittharot K, Jittorntam P, Wilairat P, Sobhonslidsuk A. Urinary Metabolomic Profiling in Chronic Hepatitis B Viral Infection Using Gas Chromatography/Mass Spectrometry. Asian Pac J Cancer Prev 2018; 19:741-748. [PMID: 29582629 PMCID: PMC5980850 DOI: 10.22034/apjcp.2018.19.3.741] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/14/2017] [Indexed: 12/26/2022] Open
Abstract
Background: Chronic hepatitis B (CHB) can lead to cirrhosis and hepatocellular carcinoma. The metabolomic profiling has been shown to be associated with pathogenic mechanisms in many medical conditions including CHB. The purpose of this study was to investigate the urine metabolomic profiles in CHB patients by gas chromatography/mass spectrometry (GC/MS). Methods: Urine samples were collected from CHB patients (n = 20) and normal control subjects (n = 20). Metabolite profiles were assessed using GC/MS in conjunction with multivariate statistical analysis, in order to identify biomarker metabolites. Pathway analysis was performed by MetaboAnalyst 3.0 and KEGG database.Results: Twelve out of 377 metabolites were shown to be significantly different between the CHB and normal control groups (p < 0.05). These include palmitic acid, stearic acid, oleic acid, benzoic acid, butanoic acid, cholesterol, glycine, 3-heptanone, 4-heptanone, hexanal, 1-tetradecanol and naphthalene. Multivariate statistical analysis constructed using these expressed metabolites showed CHB patients can be discriminated from healthy controls with high sensitivity (95%) and specificity (85%). All the metabolic perturbations in this disease are associated with pathways of fatty acid, amino acid, bile acid and gut microbial metabolism. Conclusion: CHB patients have a specific urinary metabolomic profile. The abnormalities of fatty acid, amino acid, bile acid, and gut microbial metabolism lead to the development of disease progression. GC/MS-based assay is a promising tool for the metabolomic study in CHB.
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Affiliation(s)
- Kanthanadon Dittharot
- Office of Research Academic and Innovation, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
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Bagheri M, Farzadfar F, Qi L, Yekaninejad MS, Chamari M, Zeleznik OA, Kalantar Z, Ebrahimi Z, Sheidaie A, Koletzko B, Uhl O, Djazayery A. Obesity-Related Metabolomic Profiles and Discrimination of Metabolically Unhealthy Obesity. J Proteome Res 2018; 17:1452-1462. [PMID: 29493238 DOI: 10.1021/acs.jproteome.7b00802] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
A particular subgroup of obese adults, considered as metabolically healthy obese (MHO), has a reduced risk of metabolic complications. However, the molecular basis contributing to this healthy phenotype remains unclear. The objective of this work was to identify obesity-related metabolite patterns differed between MHO and metabolically unhealthy obese (MUHO) groups and examine whether these patterns are associated with the development of cardiometabolic disorders in a sample of Iranian adult population aged 18-50 years. Valid metabolites were defined as metabolites that passed the quality control analysis of the study. In this case-control study, 104 valid metabolites of 107 MHO and 100 MUHO patients were separately compared to those of 78 normal-weight metabolically healthy (NWMH) adults. Multivariable linear regression was used to investigate all potential relations in the study. A targeted metabolomic approach using liquid chromatography coupled to triple quadrupole mass spectrometry was employed to profile plasma metabolites. The study revealed that, after Bonferroni correction, branched-chain amino-acids, tyrosine, glutamic acid, diacyl-phosphatidylcholines C32:1 and C38:3 were directly and acyl-carnitine C18:2, acyl-lysophosphatidylcholines C18:1 and C18:2, and alkyl-lysophosphatidylcholines C18.0 were inversely associated with MHO phenotype. The same patterns were observed in MUHO patients except for the acyl-carnitine and lysophosphatidylcholine profiles where acyl-carnitine C3:0 and acyl-lysophosphatidylcholine C16:1 were higher and acyl-lysophosphatidylcholines C18:1, C18:2 were lower in this phenotype. Furthermore, proline, and diacyl-phosphatidylcholines C32:2 and C34:2 were directly and serine, asparagines, and acyl-alkyl-phosphatidylcholine C34:3 were negatively linked to MUHO group. Factors composed of amino acids were directly and those containing lysophosphatidylcholines were inversely related to cardiometabolic biomarkers in both phenotypes. Interestingly, the diacyl-phosphatidylcholines-containing factor was directly associated with cardiometabolic disorders in the MUHO group. A particular pattern of amino acids and choline-containing phospholipids may aid in the identification of metabolic health among obese patients.
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Affiliation(s)
- Minoo Bagheri
- Department of Community Nutrition, School of Nutritional Sciences and Dietetic, Tehran University of Medical Sciences, Tehran 1416-643931, Iran
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran 1416-643931, Iran
| | - Lu Qi
- Department of Nutrition , Harvard T.H. Chan School of Public Health , Boston , Massachusetts 02115 , United States
| | - Mir Saeed Yekaninejad
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran 1416-643931, Iran
| | - Maryam Chamari
- Department of Community Nutrition, School of Nutritional Sciences and Dietetic, Tehran University of Medical Sciences, Tehran 1416-643931, Iran
| | - Oana A Zeleznik
- Channing Division of Network Medicine , Harvard Medical School and Brigham and Women's Hospital , Boston , Massachusetts 02115 , United States
| | - Zahra Kalantar
- Department of Cellular and Molecular Nutrition School of Nutritional Sciences and Dietetic, Tehran University of Medical Sciences, Tehran 1416-643931, Iran
| | - Zarin Ebrahimi
- Department of Nutrition, Faculty of Health , Shahid Sadoughi University of Medical Sciences , Yazd 8916-877391 , Iran
| | - Ali Sheidaie
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran 1416-643931, Iran
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital , Ludwig-Maximilians-Universität München , 80337 Munich , Germany
| | - Olaf Uhl
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital , Ludwig-Maximilians-Universität München , 80337 Munich , Germany
| | - Abolghasem Djazayery
- Department of Community Nutrition, School of Nutritional Sciences and Dietetic, Tehran University of Medical Sciences, Tehran 1416-643931, Iran
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Chen M, Lu B, Li Y, Wang Y, Zheng H, Zhong D, Liao Z, Wang M, Ma F, Liao Q, Xie Z. Metabolomics insights into the modulatory effects of long-term compound polysaccharide intake in high-fat diet-induced obese rats. Nutr Metab (Lond) 2018; 15:8. [PMID: 29410697 PMCID: PMC5781284 DOI: 10.1186/s12986-018-0246-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 01/15/2018] [Indexed: 12/12/2022] Open
Abstract
Background Polysaccharides can alleviate obesity in mammals; however, studies on mechanism of this alleviation are limited. A few studies have indicated that polysaccharides improve obesity by regulating the metabolism of the body. Therefore, a metabolomics approach, consisting of high resolution nuclear magnetic resonance (NMR) spectroscopy and a multivariate statistical technique, was applied to explore the mechanism of the protective effects of lentinan and Flos Lonicera polysaccharides (LF) on high-fat diet (HFD) induced obesity. Methods In this study, rats were randomly divided into three groups: control diet (CD), HFD, and HFD supplemented with a mixture of lentinan and Flos Lonicera polysaccharide. Histopathological and clinical biochemical assessments were also conducted. A combination of a NMR metabolomics study and a multivariable statistical analysis method to distinguish urinary and fecal metabolites was applied. Results Significant obesity symptoms appeared in HFD rats (for example, significant weight gain, epididymal adipose accumulation and lipid deposition in hepatocytes), which was attenuated in the LF group. Additionally, the HFD induced a reduction of choline, citrate, pyruvate and glycerol and increased the levels of trimethylamine oxide (TMAO) and taurine. Of note, these metabolic disorders were reversed by LF intervention mainly through pathways of energy metabolism, choline metabolism and gut microbiota metabolism. Conclusions LF supplementation had a re-balancing effect on the disturbed metabolic pathways in the obese body. The results of this study validate the therapeutic effect of the compound polysaccharide--LF in obesity and described the biochemical and metabolic mechanisms involved. Electronic supplementary material The online version of this article (10.1186/s12986-018-0246-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mingyi Chen
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
| | - Biyu Lu
- 2School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510407 People's Republic of China
| | - Yuan Li
- 2School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510407 People's Republic of China
| | - Yuanyuan Wang
- Infinitus (China) Company Ltd, Guangzhou, 510623 China
| | - Haihui Zheng
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
| | - Danmin Zhong
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
| | - Ziqiong Liao
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
| | - Mengxia Wang
- 2School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510407 People's Republic of China
| | - Fangli Ma
- Infinitus (China) Company Ltd, Guangzhou, 510623 China
| | - Qiongfeng Liao
- 2School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510407 People's Republic of China
| | - Zhiyong Xie
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
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Baik M, Kang HJ, Park SJ, Na SW, Piao M, Kim SY, Fassah DM, Moon YS. TRIENNIAL GROWTH AND DEVELOPMENT SYMPOSIUM: Molecular mechanisms related to bovine intramuscular fat deposition in the longissimus muscle. J Anim Sci 2017; 95:2284-2303. [PMID: 28727015 DOI: 10.2527/jas.2016.1160] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
The intramuscular fat (IMF) content of the LM, also known as marbling, is particularly important in determining the price of beef in Korea, Japan, and the United States. Deposition of IMF is influenced by both genetic (e.g., breed, gender, and genotype) and nongenetic factors (e.g., castration, nutrition, stressors, animal weight, and age). Castration of bulls markedly increases deposition of IMF, resulting in improved beef quality. Here, we present a comparative gene expression approach between bulls and steers. Transcriptomic and proteomic studies have demonstrated that the combined effects of increases in lipogenesis, fatty acid uptake, and fatty acid esterification and decreased lipolysis are associated with increased IMF deposition in the LM. Several peripheral tissues (LM, adipose tissues, and the liver) are involved in lipid metabolism. Therefore, understanding the significance of the tissue network in lipid metabolism is important. Here, we demonstrate that lipid metabolism in LM tissues is crucial for IMF deposition, whereas lipid metabolism in the liver plays only a minor role. Metabolism of body fat and IMF deposition in bovine species has similarities with these processes in metabolic diseases, such as obesity in humans and rodents. Extensive studies on metabolic diseases using epigenome modification (DNA methylation, histone modification, and microRNA), microbial metagenomics, and metabolomics have been performed in humans and rodents, and new findings have been reported using these technologies. The importance of applying "omics" fields (epigenomics, metagenomics, and metabolomics) to the study of IMF deposition in cattle is described. New information on the molecular mechanisms of IMF deposition may be used to design nutritional or genetic methods to manipulate IMF deposition and to modify fatty acid composition in beef cattle. Applying nutrigenomics could maximize the expression of genetic potential of economically important traits (e.g., marbling) in animals.
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Shin NR, Bose S, Wang JH, Ansari A, Lim SK, Chin YW, Choi HS, Kim H. Flos Lonicera Combined with Metformin Ameliorates Hepatosteatosis and Glucose Intolerance in Association with Gut Microbiota Modulation. Front Microbiol 2017; 8:2271. [PMID: 29204141 PMCID: PMC5698303 DOI: 10.3389/fmicb.2017.02271] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2017] [Accepted: 11/03/2017] [Indexed: 12/27/2022] Open
Abstract
The gut microbiota is important in energy contribution, metabolism and immune modulation, and compositional disruption of the gut microbiota population is closely associated with chronic metabolic diseases like type 2 diabetes (T2D) and non-alcoholic fatty liver disease (NAFLD). Metformin (MET) and Flos Lonicera (FL) are common treatments for metabolic diseases in Western and Oriental medicinal fields. We evaluated the effect of treatment with FL and MET in combination on hepatosteatosis, glucose tolerance, and gut microbial composition. FL and MET were administered to Otsuka Long-Evans Tokushima Fatty (OLETF) rats, an animal model of genetic T2D and NAFLD. The FL+MET treatment reduced liver weight, serum cholesterol, insulin resistance, and hepatic MDA level and modulated the gut microbial composition. More specifically, the genera of Prevotella and Lactobacillus were negatively associated with the body and liver weights, hepatic TG and TC content, and serum insulin level. However, the relative abundance of these genera decreased in response to the FL+MET treatment. Interestingly, pathway prediction data revealed that the FL+MET treatment attenuated lipopolysaccharide-related pathways, in keeping with the decrease in serum and fecal endotoxin levels. FL and MET in combination exerts a synergistic effect on the improvement of hepatosteatosis and insulin sensitivity in OLETF rats, and modulates gut microbiota in association with the effect.
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Affiliation(s)
- Na R Shin
- Department of Rehabilitation Medicine of Korean Medicine, Dongguk University, Goyang, South Korea
| | | | - Jing-Hua Wang
- Department of Rehabilitation Medicine of Korean Medicine, Dongguk University, Goyang, South Korea
| | - AbuZar Ansari
- Department of Rehabilitation Medicine of Korean Medicine, Dongguk University, Goyang, South Korea
| | - Soo-Kyoung Lim
- Department of Rehabilitation Medicine of Korean Medicine, Dongguk University, Goyang, South Korea
| | - Young-Won Chin
- College of Pharmacy, Dongguk University, Goyang, South Korea
| | - Han-Seok Choi
- Department of Endocrinology, Dongguk University, Goyang, South Korea
| | - Hojun Kim
- Department of Rehabilitation Medicine of Korean Medicine, Dongguk University, Goyang, South Korea
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Carayol M, Leitzmann MF, Ferrari P, Zamora-Ros R, Achaintre D, Stepien M, Schmidt JA, Travis RC, Overvad K, Tjønneland A, Hansen L, Kaaks R, Kühn T, Boeing H, Bachlechner U, Trichopoulou A, Bamia C, Palli D, Agnoli C, Tumino R, Vineis P, Panico S, Quirós JR, Sánchez-Cantalejo E, Huerta JM, Ardanaz E, Arriola L, Agudo A, Nilsson J, Melander O, Bueno-de-Mesquita B, Peeters PH, Wareham N, Khaw KT, Jenab M, Key TJ, Scalbert A, Rinaldi S. Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort. J Proteome Res 2017; 16:3137-3146. [PMID: 28758405 PMCID: PMC6198936 DOI: 10.1021/acs.jproteome.6b01062] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Metabolomics is now widely used to characterize metabolic phenotypes associated with lifestyle risk factors such as obesity. The objective of the present study was to explore the associations of body mass index (BMI) with 145 metabolites measured in blood samples in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolites were measured in blood from 392 men from the Oxford (UK) cohort (EPIC-Oxford) and in 327 control subjects who were part of a nested case-control study on hepatobiliary carcinomas (EPIC-Hepatobiliary). Measured metabolites included amino acids, acylcarnitines, hexoses, biogenic amines, phosphatidylcholines, and sphingomyelins. Linear regression models controlled for potential confounders and multiple testing were run to evaluate the associations of metabolite concentrations with BMI. 40 and 45 individual metabolites showed significant differences according to BMI variations, in the EPIC-Oxford and EPIC-Hepatobiliary subcohorts, respectively. Twenty two individual metabolites (kynurenine, one sphingomyelin, glutamate and 19 phosphatidylcholines) were associated with BMI in both subcohorts. The present findings provide additional knowledge on blood metabolic signatures of BMI in European adults, which may help identify mechanisms mediating the relationship of BMI with obesity-related diseases.
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Affiliation(s)
- Marion Carayol
- International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - Michael F. Leitzmann
- International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - Pietro Ferrari
- International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - Raul Zamora-Ros
- International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - David Achaintre
- International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - Magdalena Stepien
- International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - Julie A. Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford, OX3 7LF, United Kingdom
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford, OX3 7LF, United Kingdom
| | - Kim Overvad
- Aarhus University, Department of Public Health, Section for Epidemiology, Bartholins Alle 2, DK-8000 Aarhus C, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen, Denmark
| | - Louise Hansen
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen, Denmark
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
| | - Ursula Bachlechner
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Alexandroupoleos 23, Athens 11527, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Mikras Asias 75, Goudi GR-11527, Athens, Greece
- Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue. Boston, Massachusetts 02115, USA
| | - Christina Bamia
- Hellenic Health Foundation, Alexandroupoleos 23, Athens 11527, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Mikras Asias 75, Goudi GR-11527, Athens, Greece
| | - Domenico Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Ponte Nuovo, Via delle Oblate n.4, Padiglione 28-A Mario Fiori, 50141 Florence, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian, 1, 20133 Milan, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, "Civic - M.P. Arezzo" Hospital, Via Dante 109, 97100, ASP Ragusa, Italy
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, St Mary's Campus, Norfolk Place W2 1PG London, UK
- HuGeF Foundation, Via Nizza 52, 10126, Turin, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Medical School of Naples, Federico II University, Via Sergio Pansini, 5, 80131, Naples, Italy
| | - J. Ramón Quirós
- EPIC Asturias, Public Health Directorate, Asturias, Ciriaco Miguel Vigil St, 9 33006 Oviedo, Spain
| | - Emilio Sánchez-Cantalejo
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs. Granada. Hospitales Universitarios de Granada/Universidad de Granada, Cuesta del Observatorio, 4, 18011 Granada, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP). Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
| | - José María Huerta
- CIBER Epidemiología y Salud Pública (CIBERESP). Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca. Ronda de Levante, 11. 30008, Murcia, Spain
| | - Eva Ardanaz
- CIBER Epidemiología y Salud Pública (CIBERESP). Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
- Navarra Public Health Institute, C/ Leyre, 15, 31003, Pamplona Spain
- IdiSNA, Navarra Institute for Health Research, C/ Irunlarrea, 3, 31008, Pamplona Spain
| | - Larraitz Arriola
- CIBER Epidemiología y Salud Pública (CIBERESP). Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
- Public Health Division of Gipuzkoa, Instituto BIO-Donostia, Basque Government, Av. Navarra 4, 20013 San Sebastian, Spain
| | - Antonio Agudo
- Unit of Nutrition and Cancer. Cancer Epidemiology Research Program. Catalan Institute of Oncology-IDIBELL. Av. Gran Via de l'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Spain
| | - Jan Nilsson
- Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, 20502 Malmö, Sweden
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, 20502 Malmö, Sweden
| | - Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, St Mary's Campus, Norfolk Place W2 1PG London, UK
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), PO Box1, 3720 BA, Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Room number F02.649, Internal mail no F02.618, P.O. Box 85500, 3508 GA UTRECHT, The Netherlands
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Pantai Valley, 50603, Kuala Lumpur, Malaysia
| | - Petra H. Peeters
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, St Mary's Campus, Norfolk Place W2 1PG London, UK
- Dept of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508GA Utrecht, the Netherlands
| | - Nick Wareham
- Medical Research Council Epidemiology Unit, MRC Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, UK
| | - Mazda Jenab
- International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford, OX3 7LF, United Kingdom
| | - Augustin Scalbert
- International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - Sabina Rinaldi
- International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
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Shore SA, Cho Y. Obesity and Asthma: Microbiome-Metabolome Interactions. Am J Respir Cell Mol Biol 2017; 54:609-17. [PMID: 26949916 DOI: 10.1165/rcmb.2016-0052ps] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Obesity is a risk factor for asthma, but obese subjects with asthma respond poorly to standard asthma drugs. Obesity also alters gut bacterial community structure. Obesity-related changes in gut bacteria contribute to weight gain and other obesity-related conditions, including insulin resistance and systemic inflammation. Here, we review the rationale for the hypothesis that obesity-related changes in gut bacteria may also play a role in obesity-related asthma. The metabolomes of the liver, serum, urine, and adipose tissue are altered in obesity. Gut bacteria produce a large number of metabolites, which can reach the blood and circulate to other organs, and gut bacteria-derived metabolites have been shown to contribute to disease processes outside the gastrointestinal tract, including cardiovascular disease. Here, we describe the potential roles for two such classes of metabolites in obesity-related asthma: short-chain fatty acids and bile acids. Greater understanding of the role of microbiota in obesity-related asthma could lead to novel microbiota-based treatments for these hard-to-treat patients.
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Affiliation(s)
- Stephanie A Shore
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Youngji Cho
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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