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Tzounakou AM, Stathori G, Paltoglou G, Valsamakis G, Mastorakos G, Vlahos NF, Charmandari E. Childhood Obesity, Hypothalamic Inflammation, and the Onset of Puberty: A Narrative Review. Nutrients 2024; 16:1720. [PMID: 38892653 PMCID: PMC11175006 DOI: 10.3390/nu16111720] [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: 02/15/2024] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
The onset of puberty, which is under the control of the hypothalamic-pituitary-gonadal (HPG) axis, is influenced by various factors, including obesity, which has been associated with the earlier onset of puberty. Obesity-induced hypothalamic inflammation may cause premature activation of gonadotropin-releasing hormone (GnRH) neurons, resulting in the development of precocious or early puberty. Mechanisms involving phoenixin action and hypothalamic microglial cells are implicated. Furthermore, obesity induces structural and cellular brain alterations, disrupting metabolic regulation. Imaging studies reveal neuroinflammatory changes in obese individuals, impacting pubertal timing. Magnetic resonance spectroscopy enables the assessment of the brain's neurochemical composition by measuring key metabolites, highlighting potential pathways involved in neurological changes associated with obesity. In this article, we present evidence indicating a potential association among obesity, hypothalamic inflammation, and precocious puberty.
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Affiliation(s)
- Anastasia-Maria Tzounakou
- Center for the Prevention and Management of Overweight and Obesity, Division of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, National and Kapodistrian University of Athens Medical School, ‘Aghia Sophia’ Children’s Hospital, 11527 Athens, Greece; (A.-M.T.); (G.S.)
| | - Galateia Stathori
- Center for the Prevention and Management of Overweight and Obesity, Division of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, National and Kapodistrian University of Athens Medical School, ‘Aghia Sophia’ Children’s Hospital, 11527 Athens, Greece; (A.-M.T.); (G.S.)
| | - George Paltoglou
- Diabetes Unit, Second Department of Pediatrics, National and Kapodistrian University of Athens Medical School, ‘P. & A. Kyriakou’ Children’s Hospital, 11527 Athens, Greece;
| | - Georgios Valsamakis
- Second Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens Medical School, ‘Aretaieion’ University Hospital, 11528 Athens, Greece; (G.V.); (G.M.); (N.F.V.)
| | - George Mastorakos
- Second Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens Medical School, ‘Aretaieion’ University Hospital, 11528 Athens, Greece; (G.V.); (G.M.); (N.F.V.)
| | - Nikolaos F. Vlahos
- Second Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens Medical School, ‘Aretaieion’ University Hospital, 11528 Athens, Greece; (G.V.); (G.M.); (N.F.V.)
| | - Evangelia Charmandari
- Center for the Prevention and Management of Overweight and Obesity, Division of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, National and Kapodistrian University of Athens Medical School, ‘Aghia Sophia’ Children’s Hospital, 11527 Athens, Greece; (A.-M.T.); (G.S.)
- Division of Endocrinology and Metabolism, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
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Yang S, Zhao J, Liu X, Wang J, Gu M, Cai C, Niu H, Chen L, Hua W. Metabolomics Profiling Predicts Ventricular Arrhythmia in Patients with an Implantable Cardioverter Defibrillator. J Cardiovasc Transl Res 2024; 17:91-101. [PMID: 37556036 DOI: 10.1007/s12265-023-10413-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 07/04/2023] [Indexed: 08/10/2023]
Abstract
Implantable cardioverter defibrillators (ICDs) reduce sudden cardiac death (SCD) when patients experience life-threatening ventricular arrhythmias (LTVA). However, current strategies determining ICD patient selection and risk stratification are inefficient. We used metabolomics to assess whether dysregulated metabolites are associated with LTVA and identify potential biomarkers. Baseline plasma samples were collected from 72 patients receiving ICDs. Over a median follow-up of 524.0 days (range 239.0-705.5), LTVA occurred in 23 (31.9%) patients (22 effective ICD treatments and 1 SCD). After confounding risk factors adjustment for age, smoking, secondary prevention, and creatine kinase MB, 23 metabolites were significantly associated with LTVA. Pathway analysis revealed LTVA associations with disrupted metabolism of glycine, serine, threonine, and branched chain amino acids. Pathway enrichment analysis identified a panel of 6 metabolites that potentially predicted LTVA, with an area under the receiver operating characteristic curve of 0.8. Future studies are necessary on biological mechanisms and potential clinical use.
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Affiliation(s)
- Shengwen Yang
- Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Junhan Zhao
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xi Liu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, China National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Jing Wang
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Min Gu
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chi Cai
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongxia Niu
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liang Chen
- Department of Cardiac surgery, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Hua
- Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Bottari SA, Cohen RA, Friedman J, Porges EC, Chen A, Britton MK, Gunstad J, Woods AJ, Williamson JB. Change in medial frontal cerebral metabolite concentrations following bariatric surgery. NMR IN BIOMEDICINE 2023; 36:e4897. [PMID: 36628927 PMCID: PMC11017471 DOI: 10.1002/nbm.4897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 12/13/2022] [Accepted: 12/29/2022] [Indexed: 06/15/2023]
Abstract
Obesity is associated with adverse effects on brain health, including an increased risk of neurodegenerative diseases. Changes in cerebral metabolism may underlie or precede structural and functional brain changes. While bariatric surgery is known to be effective in inducing weight loss and improving obesity-related medical comorbidities, few studies have examined whether it may be able to improve brain metabolism. In the present study, we examined changes in cerebral metabolite concentrations in participants with obesity who underwent bariatric surgery. Thirty-five patients with obesity (body mass index ≥ 35 kg/m2 ) were recruited from a bariatric surgery candidate nutrition class. They completed single voxel proton magnetic resonance spectroscopy at baseline (presurgery) and within 1 year postsurgery. Spectra were obtained from a large medial frontal brain region using a PRESS sequence on a 3-T Siemens Verio scanner. The acquisition parameters were TR = 3000 ms and TE = 37 ms. Tissue-corrected metabolite concentrations were determined using Osprey. Paired t-tests were used to examine within-subject change in metabolite concentrations, and correlations were used to relate these changes to other health-related outcomes, including weight loss and glycated hemoglobin (HbA1c ), a measure of blood sugar levels. Bariatric surgery was associated with a reduction in cerebral choline-containing compounds (Cho; t [34] = - 3.79, p < 0.001, d = -0.64) and myo-inositol (mI; t [34] = - 2.81, p < 0.01, d = -0.47) concentrations. There were no significant changes in N-acetyl-aspartate, creatine, or glutamate and glutamine concentrations. Reductions in Cho were associated with greater weight loss (r = 0.40, p < 0.05), and reductions in mI were associated with greater reductions in HbA1c (r = 0.44, p < 0.05). In conclusion, participants who underwent bariatric surgery exhibited reductions in cerebral Cho and mI concentrations, which were associated with improvements in weight loss and glycemic control. Given that elevated levels of Cho and mI have been implicated in neuroinflammation, reduction in these metabolites after bariatric surgery may reflect amelioration of obesity-related neuroinflammatory processes. As such, our results provide evidence that bariatric surgery may improve brain health and metabolism in individuals with obesity.
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Affiliation(s)
- Sarah A. Bottari
- Center for OCD, Anxiety, and Related Disorders, Department of Psychiatry, University of Florida, Gainesville, Florida, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
| | - Ronald A. Cohen
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
- Center for Cognitive Aging and Memory, College of Medicine, University of Florida, Gainesville, Florida, USA
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, USA
| | - Jeffrey Friedman
- UF Health Bariatric Surgery Center, Department of Surgery, University of Florida, Gainesville, Florida, USA
| | - Eric C. Porges
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
- Center for Cognitive Aging and Memory, College of Medicine, University of Florida, Gainesville, Florida, USA
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, USA
| | - Alexa Chen
- Center for Cognitive Aging and Memory, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Mark K. Britton
- Center for Cognitive Aging and Memory, College of Medicine, University of Florida, Gainesville, Florida, USA
- Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
| | - John Gunstad
- Department of Psychological Sciences, Kent State University, Kent, Ohio, USA
| | - Adam J. Woods
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
- Center for Cognitive Aging and Memory, College of Medicine, University of Florida, Gainesville, Florida, USA
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - John B. Williamson
- Center for OCD, Anxiety, and Related Disorders, Department of Psychiatry, University of Florida, Gainesville, Florida, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
- Center for Cognitive Aging and Memory, College of Medicine, University of Florida, Gainesville, Florida, USA
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, Florida, USA
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, USA
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O’Connell F, Mylod E, Donlon NE, Heeran AB, Butler C, Bhardwaj A, Ramjit S, Durand M, Lambe G, Tansey P, Welartne I, Sheahan KP, Yin X, Donohoe CL, Ravi N, Dunne MR, Brennan L, Reynolds JV, Roche HM, O’Sullivan J. Energy Metabolism, Metabolite, and Inflammatory Profiles in Human Ex Vivo Adipose Tissue Are Influenced by Obesity Status, Metabolic Dysfunction, and Treatment Regimes in Patients with Oesophageal Adenocarcinoma. Cancers (Basel) 2023; 15:cancers15061681. [PMID: 36980567 PMCID: PMC10046380 DOI: 10.3390/cancers15061681] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 03/12/2023] Open
Abstract
Oesophageal adenocarcinoma (OAC) is a poor prognosis cancer with limited response rates to current treatment modalities and has a strong link to obesity. To better elucidate the role of visceral adiposity in this disease state, a full metabolic profile combined with analysis of secreted pro-inflammatory cytokines, metabolites, and lipid profiles were assessed in human ex vivo adipose tissue explants from obese and non-obese OAC patients. These data were then related to extensive clinical data including obesity status, metabolic dysfunction, previous treatment exposure, and tumour regression grades. Real-time energy metabolism profiles were assessed using the seahorse technology. Adipose explant conditioned media was screened using multiplex ELISA to assess secreted levels of 54 pro-inflammatory mediators. Targeted secreted metabolite and lipid profiles were analysed using Ultra-High-Performance Liquid Chromatography coupled with Mass Spectrometry. Adipose tissue explants and matched clinical data were collected from OAC patients (n = 32). Compared to visceral fat from non-obese patients (n = 16), visceral fat explants from obese OAC patients (n = 16) had significantly elevated oxidative phosphorylation metabolism profiles and an increase in Eotaxin-3, IL-17A, IL-17D, IL-3, MCP-1, and MDC and altered secretions of glutamine associated metabolites. Adipose explants from patients with metabolic dysfunction correlated with increased oxidative phosphorylation metabolism, and increases in IL-5, IL-7, SAA, VEGF-C, triacylglycerides, and metabolites compared with metabolically healthy patients. Adipose explants generated from patients who had previously received neo-adjuvant chemotherapy (n = 14) showed elevated secretions of pro-inflammatory mediators, IL-12p40, IL-1α, IL-22, and TNF-β and a decreased expression of triacylglycerides. Furthermore, decreased secreted levels of triacylglycerides were also observed in the adipose secretome of patients who received the chemotherapy-only regimen FLOT compared with patients who received no neo-adjuvant treatment or chemo-radiotherapy regimen CROSS. For those patients who showed the poorest response to currently available treatments, their adipose tissue was associated with higher glycolytic metabolism compared to patients who had good treatment responses. This study demonstrates that the adipose secretome in OAC patients is enriched with mediators that could prime the tumour microenvironment to aid tumour progression and attenuate responses to conventional cancer treatments, an effect which appears to be augmented by obesity and metabolic dysfunction and exposure to different treatment regimes.
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Affiliation(s)
- Fiona O’Connell
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Eimear Mylod
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
- Cancer Immunology and Immunotherapy Group, Department of Surgery, Trinity College Dublin, St. James’s Hospital, D08 W9RT Dublin, Ireland
| | - Noel E. Donlon
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
- Cancer Immunology and Immunotherapy Group, Department of Surgery, Trinity College Dublin, St. James’s Hospital, D08 W9RT Dublin, Ireland
| | - Aisling B. Heeran
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Christine Butler
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Anshul Bhardwaj
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Sinead Ramjit
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Michael Durand
- Department of Radiology, St. James’s Hospital, D08 NHY1 Dublin, Ireland
| | - Gerard Lambe
- Department of Radiology, St. James’s Hospital, D08 NHY1 Dublin, Ireland
| | - Paul Tansey
- Department of Radiology, St. James’s Hospital, D08 NHY1 Dublin, Ireland
| | - Ivan Welartne
- Department of Radiology, St. James’s Hospital, D08 NHY1 Dublin, Ireland
| | - Kevin P. Sheahan
- Department of Radiology, Beaumont Hospital, D02 YN77 Dublin, Ireland
| | - Xiaofei Yin
- UCD School of Agriculture and Food Science, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
| | - Claire L. Donohoe
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Narayanasamy Ravi
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Margaret R. Dunne
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
- School of Chemical & Biopharmaceutical Sciences, Technological University Dublin, Tallaght, D07 EWV4 Dublin, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
| | - John V. Reynolds
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
| | - Helen M. Roche
- Nutrigenomics Research Group, UCD Conway Institute, School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 C1P1 Dublin, Ireland
- Institute for Global Food Security, School of Biological Sciences, Queens University Belfast, Belfast BT9 5DL, UK
| | - Jacintha O’Sullivan
- Department of Surgery, Trinity St. James’s Cancer Institute and Trinity Translational Medicine Institute, St. James’s Hospital and Trinity College Dublin, D08 W9RT Dublin, Ireland
- Correspondence:
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Bort A, G. Sánchez B, León C, Nozal L, Mora-Rodríguez JM, Castro F, Crego AL, Díaz-Laviada I. Metabolic fingerprinting of chemotherapy-resistant prostate cancer stem cells. An untargeted metabolomic approach by liquid chromatography-mass spectrometry. Front Cell Dev Biol 2022; 10:1005675. [PMID: 36325358 PMCID: PMC9618794 DOI: 10.3389/fcell.2022.1005675] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
Chemoresistance is one of the most important challenges in cancer therapy. The presence of cancer stem cells within the tumor may contribute to chemotherapy resistance since these cells express high levels of extrusion pumps and xenobiotic metabolizing enzymes that inactivate the therapeutic drug. Despite the recent advances in cancer cell metabolism adaptations, little is known about the metabolic adaptations of the cancer stem cells resistant to chemotherapy. In this study, we have undertaken an untargeted metabolomic analysis by liquid chromatography–high-resolution spectrometry combined with cytotoxicity assay, western blot, quantitative real-time polymerase chain reaction (qPCR), and fatty acid oxidation in a prostate cancer cell line resistant to the antiandrogen 2-hydroxiflutamide with features of cancer stem cells, compared to its parental androgen-sensitive cell line. Metabolic fingerprinting revealed 106 out of the 850 metabolites in ESI+ and 67 out of 446 in ESI- with significant differences between the sensitive and the resistant cell lines. Pathway analysis performed with the unequivocally identified metabolites, revealed changes in pathways involved in energy metabolism as well as posttranscriptional regulation. Validation by enzyme expression analysis indicated that the chemotherapy-resistant prostate cancer stem cells were metabolically dormant with decreased fatty acid oxidation, methionine metabolism and ADP-ribosylation. Our results shed light on the pathways underlying the entry of cancer cells into dormancy that might contribute to the mechanisms of drug resistance.
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Affiliation(s)
- Alicia Bort
- Yale University School of Medicine, Vascular Biology and Therapeutics Program, New Haven, CT, United states
| | - Belén G. Sánchez
- Alcala University, School of Medicine, Department of Systems Biology and Research Institute in Chemistry “Andrés M. Del Río” (IQAR), Madrid, Spain
| | - Carlos León
- Carlos III University, Department of Bioengineering and Aerospatial Engineering, Madrid, Spain
| | - Leonor Nozal
- Alcala University and General Foundation of Alcalá University, Center of Applied Chemistry and Biotechnology, Madrid, Spain
| | - José M. Mora-Rodríguez
- Alcala University, School of Medicine, Department of Systems Biology and Research Institute in Chemistry “Andrés M. Del Río” (IQAR), Madrid, Spain
| | - Florentina Castro
- Alcala University and General Foundation of Alcalá University, Center of Applied Chemistry and Biotechnology, Madrid, Spain
| | - Antonio L. Crego
- Alcala University, Department of Analytical Chemistry, Physical Chemistry and Chemical Engineering, Madrid, Spain
- *Correspondence: Antonio L. Crego, ; Inés Díaz-Laviada,
| | - Inés Díaz-Laviada
- Alcala University, School of Medicine, Department of Systems Biology and Research Institute in Chemistry “Andrés M. Del Río” (IQAR), Madrid, Spain
- *Correspondence: Antonio L. Crego, ; Inés Díaz-Laviada,
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Circulating N-Acetylaspartate does not track brain NAA concentrations, cognitive function or features of small vessel disease in humans. Sci Rep 2022; 12:11530. [PMID: 35798828 PMCID: PMC9262942 DOI: 10.1038/s41598-022-15670-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 04/15/2022] [Indexed: 01/07/2023] Open
Abstract
N-acetylaspartate (NAA) is the second most abundant metabolite in the human brain; although it is assumed to be a proxy for a neuronal marker, its function is not fully elucidated. NAA is also detectable in plasma, but its relation to cerebral NAA levels, cognitive performance, or features of cerebral disease has not been investigated. To study whether circulating NAA tracks cerebral NAA levels, and whether circulating NAA correlates with cognitive function and features of cerebral small vessel disease (SVD). Two datasets were analyzed. In dataset 1, structural MRI was acquired in 533 subjects to assess four features of cerebral SVD. Cognitive function was evaluated with standardized test scores (N = 824). In dataset 2, brain 1H-MRS from the occipital region was acquired (N = 49). In all subjects, fasting circulating NAA was measured with mass spectrometry. Dataset 1: in univariate and adjusted for confounders models, we found no correlation between circulating NAA and the examined features of cerebral SVD. In univariate analysis, circulating NAA levels were associated inversely with the speed in information processing and the executive function score, however these associations were lost after accounting for confounders. In line with the negative findings of dataset 1, in dataset 2 there was no correlation between circulating and central NAA or total NAA levels. This study indicates that circulating NAA levels do not reflect central (occipital) NAA levels, cognitive function, or cerebral small vessel disease in man.
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Serine, N-acetylaspartate differentiate adolescents with juvenile idiopathic arthritis compared with healthy controls: a metabolomics cross-sectional study. Pediatr Rheumatol Online J 2022; 20:12. [PMID: 35144633 PMCID: PMC8832851 DOI: 10.1186/s12969-022-00672-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 01/30/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In comparison with the general population, adolescents with juvenile idiopathic arthritis (JIA) are at higher risk for morbidity and mortality. However, limited evidence is available about this condition's underlying metabolic profile in adolescents with JIA relative to healthy controls. In this untargeted, cross-sectional metabolomics study, we explore the plasma metabolites in this population. METHODS A sample of 20 adolescents with JIA and 20 controls aged 13-17 years were recruited to complete surveys, provide medical histories and biospecimens, and undergo assessments. Fasting morning plasma samples were processed with liquid chromatography-mass spectrometry. Data were centered, scaled, and analyzed using generalized linear models accounting for age, sex, and medications (p-values adjusted for multiple comparisons using the Holm method). Spearman's correlations were used to evaluate relationships among metabolites, time since diagnosis, and disease severity. RESULTS Of 72 metabolites identified in the samples, 55 were common to both groups. After adjustments, 6 metabolites remained significantly different between groups. Alpha-glucose, alpha-ketoglutarate, serine, and N-acetylaspartate were significantly lower in the JIA group than in controls; glycine and cystine were higher. Seven additional metabolites were detected only in the JIA group; 10 additional metabolites were detected only in the control group. Metabolites were unrelated to disease severity or time since diagnosis. CONCLUSIONS The metabolic signature of adolescents with JIA relative to controls reflects a disruption in oxidative stress; neurological health; and amino acid, caffeine, and energy metabolism pathways. Serine and N-acetylaspartate were promising potential biomarkers, and their metabolic pathways are linked to both JIA and cardiovascular disease risk. The pathways may be a source of new diagnostic, treatment, or prevention options. This study's findings contribute new knowledge for systems biology and precision health approaches to JIA research. Further research is warranted to confirm these findings in a larger sample.
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Nucera S, Ruga S, Cardamone A, Coppoletta AR, Guarnieri L, Zito MC, Bosco F, Macrì R, Scarano F, Scicchitano M, Maiuolo J, Carresi C, Mollace R, Cariati L, Mazzarella G, Palma E, Gliozzi M, Musolino V, Cascini GL, Mollace V. MAFLD progression contributes to altered thalamus metabolism and brain structure. Sci Rep 2022; 12:1207. [PMID: 35075185 PMCID: PMC8786899 DOI: 10.1038/s41598-022-05228-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 01/07/2022] [Indexed: 12/02/2022] Open
Abstract
Metabolic associated fatty liver disease (MAFLD), commonly known as non-alcoholic fatty liver disease, represents a continuum of events characterized by excessive hepatic fat accumulation which can progress to nonalcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and in some severe cases hepatocellular carcinoma. MAFLD might be considered as a multisystem disease that affects not only the liver but involves wider implications, relating to several organs and systems, the brain included. The present study aims to investigate changes associated with MAFLD-induced alteration of thalamic metabolism in vivo. DIAMOND (Diet-induced animal model of non-alcoholic fatty liver disease) mice were fed a chow diet and tap water (NC NW) or fat Western Diet (WD SW) for up to 28 weeks. At the baseline and weeks 4, 8, 20, 28 the thalamic neurochemical profile and total cerebral brain volume were evaluated longitudinally in both diet groups using 1H-MRS. To confirm the disease progression, at each time point, a subgroup of animals was sacrificed, the livers excised and placed in formalin. Liver histology was assessed and reviewed by an expert liver pathologist. MAFLD development significantly increases the thalamic levels of total N-acetylaspartate, total creatine, total choline, and taurine. Furthermore, in the WD SW group a reduction in total cerebral brain volume has been observed (p < 0.05 vs NC NW). Our results suggest that thalamic energy metabolism is affected by MAFLD progression. This metabolic imbalance, that is quantifiable by 1H-MRS in vivo, might cause structural damage to brain cells and dysfunctions of neurotransmitter release.
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Affiliation(s)
- Saverio Nucera
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Stefano Ruga
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Antonio Cardamone
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Anna Rita Coppoletta
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Lorenza Guarnieri
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Maria Caterina Zito
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Francesca Bosco
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Roberta Macrì
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Federica Scarano
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Miriam Scicchitano
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Jessica Maiuolo
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Cristina Carresi
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Rocco Mollace
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Luca Cariati
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Giuseppe Mazzarella
- Nuclear Medicine Unit, Department of Diagnostic Imaging, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Ernesto Palma
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Micaela Gliozzi
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy.
| | - Vincenzo Musolino
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Giuseppe Lucio Cascini
- Nuclear Medicine Unit, Department of Diagnostic Imaging, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
| | - Vincenzo Mollace
- Institute of Research for Food Safety and Health IRC-FSH, Department of Health Sciences, University Magna Graecia of Catanzaro, 88100, Catanzaro, Italy
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Zhao Q, Fu Y, Zhang F, Wang C, Yang X, Bai S, Xue Y, Shen Q. Heat-treated adzuki bean protein hydrolysates reduce obesity in mice fed a high-fat diet via remodeling gut microbiota and improving metabolic function. Mol Nutr Food Res 2022; 66:e2100907. [PMID: 35072343 DOI: 10.1002/mnfr.202100907] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 12/23/2021] [Indexed: 11/07/2022]
Abstract
SCOPE Heat-treated adzuki bean protein hydrolysates (APH) reduced cholesterol in vitro. However, it is unclear if APH have anti-obesity effects in vivo and, if so, the relationship between the effects and the improvement of gut microbiota composition and metabolic function. METHODS AND RESULTS Four groups of mice were fed either a normal control diet (NCD) or a high-fat diet (HFD) with or without APH for 12 weeks. In HFD-fed mice, APH supplementation significantly alleviated fat accumulation, dyslipidemia, insulin resistance, hepatic steatosis, and inflammation. In addition, APH supplementation regulated gut microbiota composition, reduced the abundance of harmful bacteria (Clostridium_sensu_stricto_1, Romboutsia, Blautia, Mucispirillum, Bilophila, and Peptococcus), enriched Lactobacillus and SCFA-producing bacteria (Lactobacillaceae, Eisenbergiella, Alistipes, Parabacteroides, Tannerellaceae, Eubacterium_nodatum_group, Acetatifactor, Rikenellaceae, and Odoribacter), and increased fecal SCFAs concentration. Importantly, APH supplementation significantly regulated the levels of serum metabolites, especially Lactobacillus-derived metabolites and tryptophan derivatives, which helped to alleviate obesity and its complications. CONCLUSION APH improved gut microbiota composition and metabolic function in mice and may help to prevent and treat obesity and related complications. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Qingyu Zhao
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.,National Center of Technology Innovation (Deep Processing of Highland Barley) in Food Industry, Beijing, 100083, China.,National Engineering Research Center for Fruit and Vegetable Processing, Beijing, 100083, China.,Key Laboratory of Plant Protein and Grain Processing, Beijing, 100083, China
| | - Yongxia Fu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.,National Center of Technology Innovation (Deep Processing of Highland Barley) in Food Industry, Beijing, 100083, China.,National Engineering Research Center for Fruit and Vegetable Processing, Beijing, 100083, China.,Key Laboratory of Plant Protein and Grain Processing, Beijing, 100083, China
| | - Fan Zhang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.,National Center of Technology Innovation (Deep Processing of Highland Barley) in Food Industry, Beijing, 100083, China.,National Engineering Research Center for Fruit and Vegetable Processing, Beijing, 100083, China.,Key Laboratory of Plant Protein and Grain Processing, Beijing, 100083, China
| | - Chao Wang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.,National Center of Technology Innovation (Deep Processing of Highland Barley) in Food Industry, Beijing, 100083, China.,National Engineering Research Center for Fruit and Vegetable Processing, Beijing, 100083, China.,Key Laboratory of Plant Protein and Grain Processing, Beijing, 100083, China
| | - Xuehao Yang
- Cofco Nutrition & Health Research Institute Co. LTD, Beijing, 100083, China
| | - Shuqun Bai
- Cofco Nutrition & Health Research Institute Co. LTD, Beijing, 100083, China
| | - Yong Xue
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.,National Center of Technology Innovation (Deep Processing of Highland Barley) in Food Industry, Beijing, 100083, China.,National Engineering Research Center for Fruit and Vegetable Processing, Beijing, 100083, China.,Key Laboratory of Plant Protein and Grain Processing, Beijing, 100083, China
| | - Qun Shen
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.,National Center of Technology Innovation (Deep Processing of Highland Barley) in Food Industry, Beijing, 100083, China.,National Engineering Research Center for Fruit and Vegetable Processing, Beijing, 100083, China.,Key Laboratory of Plant Protein and Grain Processing, Beijing, 100083, China
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10
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Nontargeted Metabolomic Analysis of Plasma Metabolite Changes in Patients with Adolescent Idiopathic Scoliosis. Mediators Inflamm 2021; 2021:5537811. [PMID: 34121924 PMCID: PMC8172289 DOI: 10.1155/2021/5537811] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/20/2021] [Accepted: 04/27/2021] [Indexed: 11/17/2022] Open
Abstract
Objective Adolescent idiopathic scoliosis (AIS) is a relatively common spinal rotation deformity, and the pathogenesis of AIS is accompanied by metabolic dysfunction and changes in biochemical factors. In this study, plasma metabolite changes in AIS patients were analyzed based on nontargeted metabolomics to provide new insights for clarifying functional metabolic abnormalities in AIS patients. Methods Clinical indexes and blood samples were collected from 12 healthy subjects and 16 AIS patients. Metabolomics was used to analyze the changes in metabolites in plasma samples. The correlation between plasma metabolites and clinical indexes was analyzed by the Spearman rank correlation coefficient. Results Analysis of clinical data showed that the body weight, body mass index (BMI), and bone mineral density (BMD) index of the AIS group significantly decreased, while the blood phosphorus and Cobb angles increased significantly. Metabolomic analysis showed significant changes in 72 differential metabolites in the plasma of the AIS group, mainly including organooxygen compounds, carboxylic acids and derivatives, fatty acyls, steroids and steroid derivatives, and keto acids and derivatives. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway showed that arginine biosynthesis, D-glutamine and D-glutamate metabolism, alanine, aspartate and glutamate metabolism, and citrate cycle (TCA cycle) were significantly enriched in the AIS and healthy groups. Spearman rank correlation coefficient analysis showed that the plasma metabolites C00026 (oxoglutarate), C00062 (L-arginine, arginine), C01042 (N-acetylaspartate), and C00158 (citrate) were significantly correlated with clinical indexes in AIS patients. In the healthy group, the plasma metabolites C00122 (fumarate), C00025 (glutamate and L-glutamic acid) and C00149 (malate, L-malic acid) were significantly correlated with clinical indexes, while C00624 (N-acetylglutamate) was not significantly correlated with the clinical indexes. Conclusion The occurrence of AIS led to changes in clinical indexes and plasma metabolites. Plasma biomarkers and functional metabolic pathways were correlated with clinical indexes, which might provide new insights for the diagnosis and treatment of AIS.
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