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Yang J, Wu J. Discovery of potential biomarkers for osteoporosis diagnosis by individual omics and multi-omics technologies. Expert Rev Mol Diagn 2023:1-16. [PMID: 37140363 DOI: 10.1080/14737159.2023.2208750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
INTRODUCTION Global aging has made osteoporosis an increasingly serious public health problem. Osteoporotic fractures seriously affect the quality of life of patients and increase disability and mortality rates. Early diagnosis is important for timely intervention. The continuous development of individual- and multi-omics methods is helpful for the exploration and discovery of biomarkers for the diagnosis of osteoporosis. AREAS COVERED In this review, we first introduce the epidemiological status of osteoporosis and then describe the pathogenesis of osteoporosis. Furthermore, the latest progress in individual- and multi-omics technologies for exploring biomarkers for osteoporosis diagnosis is summarized. Moreover, we clarify the advantages and disadvantages of the application of osteoporosis biomarkers obtained using the omics method. Finally, we put forward valuable views on the future research direction of diagnostic biomarkers of osteoporosis. EXPERT OPINION Omics methods undoubtedly provide greatly contribute to the exploration of diagnostic biomarkers of osteoporosis; however, in the future, the clinical validity and clinical utility of the obtained potential biomarkers should be thoroughly examined. In addition, the improvement and optimization of the detection methods for different types of biomarkers and standardization of the detection process guarantee the reliability and accuracy of the detection results.
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Affiliation(s)
- Jing Yang
- Department of Clinical Laboratory Medicine, Beijing Jishuitan Hospital, Peking University, Beijing, China
| | - Jun Wu
- Department of Clinical Laboratory Medicine, Beijing Jishuitan Hospital, Peking University, Beijing, China
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Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research. Metabolites 2022; 12:metabo12100963. [PMID: 36295865 PMCID: PMC9609461 DOI: 10.3390/metabo12100963] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 12/02/2022] Open
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is one of the principal analytical techniques for metabolomics. It has the advantages of minimal sample preparation and high reproducibility, making it an ideal technique for generating large amounts of metabolomics data for biobanks and large-scale studies. Metabolomics is a popular “omics” technology and has established itself as a comprehensive exploratory biomarker tool; however, it has yet to reach its collaborative potential in data collation due to the lack of standardisation of the metabolomics workflow seen across small-scale studies. This systematic review compiles the different NMR metabolomics methods used for serum, plasma, and urine studies, from sample collection to data analysis, that were most popularly employed over a two-year period in 2019 and 2020. It also outlines how these methods influence the raw data and the downstream interpretations, and the importance of reporting for reproducibility and result validation. This review can act as a valuable summary of NMR metabolomic workflows that are actively used in human biofluid research and will help guide the workflow choice for future research.
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Lv X, Jiang Y, Yang D, Zhu C, Yuan H, Yuan Z, Suo C, Chen X, Xu K. The role of metabolites under the influence of genes and lifestyles in bone density changes. Front Nutr 2022; 9:934951. [PMID: 36118775 PMCID: PMC9481263 DOI: 10.3389/fnut.2022.934951] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/04/2022] [Indexed: 11/25/2022] Open
Abstract
Purpose Osteoporosis is a complex bone disease influenced by numerous factors. Previous studies have found that some metabolites are related to bone mineral density (BMD). However, the associations between metabolites and BMD under the influence of genes and lifestyle have not been fully investigated. Methods We analyzed the effect of metabolites on BMD under the synergistic effect of genes and lifestyle, using the data of 797 participants aged 55–65 years from the Taizhou Imaging Study. The cumulative sum method was used to calculate the polygenic risk score of SNPs, and the healthful plant-based diet index was used to summarize food intake. The effect of metabolites on BMD changes under the influence of genes and lifestyle was analyzed through interaction analysis and mediation analysis. Results Nineteen metabolites were found significantly different in the osteoporosis, osteopenia, and normal BMD groups. We found two high-density lipoprotein (HDL) subfractions were positively associated with osteopenia, and six very-low-density lipoprotein subfractions were negatively associated with osteopenia or osteoporosis, after adjusting for lifestyles and genetic factors. Tea drinking habits, alcohol consumption, smoking, and polygenic risk score changed BMD by affecting metabolites. Conclusion With the increased level of HDL subfractions, the risk of bone loss in the population will increase; the risk of bone loss decreases with the increased level of very-low-density lipoprotein subfractions. Genetic factors and lifestyles can modify the effects of metabolites on BMD. Our results show evidence for the precise prevention of osteoporosis.
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Affiliation(s)
- Xuewei Lv
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Dantong Yang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Chengkai Zhu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Huangbo Yuan
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Ziyu Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
- Ministry of Education Key Laboratory of Public Health Safety, Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
- *Correspondence: Xingdong Chen,
| | - Kelin Xu
- Ministry of Education Key Laboratory of Public Health Safety, Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Kelin Xu,
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Hosseinkhani S, Emamgholipour S, Salari P, Khalagi K, Shirani S, Najjar N, Larijani B, Pasalar P, Razi F. Evaluating the association between amino acid and acylcarnitine profiles and different levels of coronary artery disease risk in postmenopausal women using targeted metabolomics technique. Menopause 2022; 29:1062-1070. [PMID: 35969879 DOI: 10.1097/gme.0000000000002016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Postmenopausal women are at increased risk of developing coronary artery disease (CAD). Metabolomic approaches aim at discovering more helpful biomarkers of CAD to reduce the disease burden in the future. Here, we intend to find potential blood biomarkers, amino acids, and acylcarnitines in postmenopausal women with different severity of CAD by using high-throughput methods. METHOD This cross-sectional study was performed on postmenopausal women ( n = 183) who underwent coronary CT scans. Coronary artery calcium scoring (CACS) was assessed to detect plaque burden and degree of coronary artery obstruction. The participants were divided into three groups based on the score as follows (i) "low CACS" ( n = 96); a score of 0 to 10, (ii) "medium CACS" ( n = 35); a score between 11 and 100 and (iii) "high CACS" ( n = 52); a score greater than 100. Metabolites, including amino acids and acylcarnitines, were quantified using a targeted mass spectrometry method in serum samples. The association between metabolites and disease status was evaluated using univariate and multivariate regression analyses with adjustment for confounding factors. Factor analysis was used to deal with multiple comparisons. RESULTS Metabolites, including proline, glutamic acid, and phenylalanine, were significantly lower in the high CACS group than the low CACS one. Also, a lower level of lysine and phenylalanine in high CACS compared with medium one was observed. Concerning acylcarnitines, it was found that C4 and C8:1 significantly were higher in women with high CACS. The logistic regression analysis revealed that the circulating levels of these metabolites (except C4) were associated with the presence of coronary artery calcification independently of age, body mass index, and time of menopause. Also, the amino acids were associated independently of medication and diabetes. CONCLUSIONS The present study indicated that circulating levels of amino acids and acylcarnitines profile in postmenopausal women are partly associated with the severity of CAD in these participants.
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Affiliation(s)
- Shaghayegh Hosseinkhani
- From the Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Solaleh Emamgholipour
- From the Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Pooneh Salari
- Medical Ethics and History of Medicine Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Shapour Shirani
- Imaging Department, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Farideh Razi
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Zhao Z, Cai Z, Chen A, Cai M, Yang K. Application of metabolomics in osteoporosis research. Front Endocrinol (Lausanne) 2022; 13:993253. [PMID: 36452325 PMCID: PMC9702081 DOI: 10.3389/fendo.2022.993253] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 10/28/2022] [Indexed: 11/15/2022] Open
Abstract
Osteoporosis (OP) is a systemic disease characterized by bone metabolism imbalance and bone microstructure destruction, which causes serious social and economic burden. At present, the diagnosis and treatment of OP mainly rely on imaging combined with drugs. However, the existing pathogenic mechanisms, diagnosis and treatment strategies for OP are not clear and effective enough, and the disease progression that cannot reflect OP further restricts its effective treatment. The application of metabolomics has facilitated the study of OP, further exploring the mechanism and behavior of bone cells, prevention, and treatment of the disease from various metabolic perspectives, finally realizing the possibility of a holistic approach. In this review, we focus on the application of metabolomics in OP research, especially the newer systematic application of metabolomics and treatment with herbal medicine and their extracts. In addition, the prospects of clinical transformation in related fields are also discussed. The aim of this study is to highlight the use of metabolomics in OP research, especially in exploring the pathogenesis of OP and the therapeutic mechanisms of natural herbal medicine, for the benefit of interdisciplinary researchers including clinicians, biologists, and materials engineers.
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Affiliation(s)
- Zhenyu Zhao
- Department of Orthopaedics, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengwei Cai
- Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aopan Chen
- Department of Orthopaedics, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ming Cai
- Department of Orthopaedics, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- *Correspondence: Ming Cai, ; Kai Yang,
| | - Kai Yang
- Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Ming Cai, ; Kai Yang,
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Barros MPD, Bachi ALL, Santos JDMBD, Lambertucci RH, Ishihara R, Polotow TG, Caldo-Silva A, Valente PA, Hogervorst E, Furtado GE. The poorly conducted orchestra of steroid hormones, oxidative stress and inflammation in frailty needs a maestro: Regular physical exercise. Exp Gerontol 2021; 155:111562. [PMID: 34560197 DOI: 10.1016/j.exger.2021.111562] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 09/14/2021] [Accepted: 09/17/2021] [Indexed: 12/25/2022]
Abstract
This review outlines the various factors associated with unhealthy aging which includes becoming frail and dependent. With many people not engaging in recommended exercise, facilitators and barriers to engage with exercise must be investigated to promote exercise uptake and adherence over the lifespan for different demographics, including the old, less affluent, women, and those with different cultural-ethnic backgrounds. Governmental and locally funded public health messages and environmental facilitation (gyms, parks etc.) can play an important role. Studies have shown that exercise can act as a conductor to balance oxidative stress, immune and endocrine functions together to promote healthy aging and reduce the risk for age-related morbidities, such as cardiovascular disease and atherosclerosis, and promote cognition and mood over the lifespan. Like a classic symphony orchestra, consisting of four groups of related musical instruments - the woodwinds, brass, percussion, and strings - the aging process should also perform in harmony, with compassion, avoiding the aggrandizement of any of its individual parts during the presentation. This review discusses the wide variety of molecular, cellular and endocrine mechanisms (focusing on the steroid balance) underlying this process and their interrelationships.
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Affiliation(s)
- Marcelo Paes de Barros
- Institute of Physical Activity Sciences and Sports (ICAFE), MSc/PhD Interdisciplinary Program in Health Sciences, Cruzeiro do Sul University, 01506-000 São Paulo, Brazil.
| | - André Luís Lacerda Bachi
- Department of Otorhinolaryngology, ENT Lab, Federal University of São Paulo (UNIFESP), São Paulo 04025-002, Brazil; Post-Graduation Program in Health Sciences, Santo Amaro University (UNISA), São Paulo 04829-300, Brazil
| | | | | | - Rafael Ishihara
- Department of Biosciences, Federal University of São Paulo (UNIFESP), Santos 11015-020, SP, Brazil
| | - Tatiana Geraldo Polotow
- Institute of Physical Activity Sciences and Sports (ICAFE), MSc/PhD Interdisciplinary Program in Health Sciences, Cruzeiro do Sul University, 01506-000 São Paulo, Brazil
| | - Adriana Caldo-Silva
- University of Coimbra, Research Unit for Sport and Physical Activity (CIDAF, UID/PTD/04213/2019) at Faculty of Sport Science and Physical Education, (FCDEF-UC), Portugal
| | - Pedro Afonso Valente
- University of Coimbra, Research Unit for Sport and Physical Activity (CIDAF, UID/PTD/04213/2019) at Faculty of Sport Science and Physical Education, (FCDEF-UC), Portugal
| | - Eef Hogervorst
- Applied Cognitive Research National Centre for Sports and Exercise Medicine, Loughborough University, Loughborough, UK
| | - Guilherme Eustáquio Furtado
- Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), Coimbra, Portugal; Institute Polytechnic of Maia, Porto, Portugal; University of Coimbra, Research Unit for Sport and Physical Activity (CIDAF, UID/PTD/04213/2019) at Faculty of Sport Science and Physical Education, (FCDEF-UC), Portugal.
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Streese L, Springer AM, Deiseroth A, Carrard J, Infanger D, Schmaderer C, Schmidt-Trucksäss A, Madl T, Hanssen H. Metabolic profiling links cardiovascular risk and vascular end organ damage. Atherosclerosis 2021; 331:45-53. [PMID: 34344526 DOI: 10.1016/j.atherosclerosis.2021.07.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 07/01/2021] [Accepted: 07/09/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND AIMS An untargeted metabolomics approach allows for a better understanding and identification of new candidate metabolites involved in the etiology of vascular disease. We aimed to investigate the associations of cardiovascular (CV) risk factors with the metabolic fingerprint and macro- and microvascular health in an untargeted metabolomic approach in predefined CV risk groups of aged individuals. METHODS The metabolic fingerprint and the macro- and microvascular health from 155 well-characterized aged (50-80 years) individuals, based on the EXAMIN AGE study, were analysed. Nuclear magnetic resonance spectroscopy was used to analyse the metabolic fingerprint. Carotid-femoral pulse wave velocity and retinal vessel diameters were assessed to quantify macro- and microvascular health. RESULTS The metabolic fingerprint became more heterogeneous with an increasing number of risk factors. There was strong evidence for higher levels of glutamine [estimate (95% CI): -14.54 (-17.81 to -11.27), p < 0.001], glycine [-5.84 (-7.88 to -3.79), p < 0.001], histidine [-0.73 (-0.96 to -0.50), p < 0.001], and acetate [-1.68 (-2.91 to -0.46), p = 0.007] to be associated with a lower CV risk profile. Tryptophan, however, was positively associated with higher CV risk [0.31 (0.06-0.56), p = 0.015]. The combination of a priori defined CV risk factors explained up to 45.4% of the metabolic variation. The metabolic fingerprint explained 20% of macro- and 23% of microvascular variation. CONCLUSIONS Metabolic profiling has the potential to improve CV risk stratification by identifying new underlying metabolic pathways associated with atherosclerotic disease development, from cardiovascular risk to metabolites, to vascular end organ damage.
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Affiliation(s)
- Lukas Streese
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, Basel, Switzerland
| | - Anna Maria Springer
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - Arne Deiseroth
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, Basel, Switzerland
| | - Justin Carrard
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, Basel, Switzerland
| | - Denis Infanger
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, Basel, Switzerland
| | - Christoph Schmaderer
- Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Arno Schmidt-Trucksäss
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, Basel, Switzerland
| | - Tobias Madl
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria; BioTechMed Graz, Graz, Austria.
| | - Henner Hanssen
- Department of Sport, Exercise and Health, Medical Faculty, University of Basel, Basel, Switzerland
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