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Krishnamoorthy N, Kalyan M, Hediyal TA, Anand N, Kendaganna PH, Pendyala G, Yelamanchili SV, Yang J, Chidambaram SB, Sakharkar MK, Mahalakshmi AM. Role of the Gut Bacteria-Derived Metabolite Phenylacetylglutamine in Health and Diseases. ACS OMEGA 2024; 9:3164-3172. [PMID: 38284070 PMCID: PMC10809373 DOI: 10.1021/acsomega.3c08184] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 01/30/2024]
Abstract
Over the past few decades, it has been well established that gut microbiota-derived metabolites can disrupt gut function, thus resulting in an array of diseases. Notably, phenylacetylglutamine (PAGln), a bacterial derived metabolite, has recently gained attention due to its role in the initiation and progression of cardiovascular and cerebrovascular diseases. This meta-organismal metabolite PAGln is a byproduct of amino acid acetylation of its precursor phenylacetic acid (PAA) from a range of dietary sources like egg, meat, dairy products, etc. The microbiota-dependent metabolism of phenylalanine produces PAA, which is a crucial intermediate that is catalyzed by diverse microbial catalytic pathways. PAA conjugates with glutamine and glycine in the liver and kidney to predominantly form phenylacetylglutamine in humans and phenylacetylglycine in rodents. PAGln is associated with thrombosis as it enhances platelet activation mediated through the GPCRs receptors α2A, α2B, and β2 ADRs, thereby aggravating the pathological conditions. Clinical evidence suggests that elevated levels of PAGln are associated with pathology of cardiovascular, cerebrovascular, and neurological diseases. This Review further consolidates the microbial/biochemical synthesis of PAGln and discusses its role in the above pathophysiologies.
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Affiliation(s)
- Naveen
Kumar Krishnamoorthy
- Department
of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education and Research, Mysuru 570015, India
- Centre
for Experimental Pharmacology and Toxicology, Central Animal Facility, JSS Academy of Higher Education and Research, Mysuru 570015, India
| | - Manjunath Kalyan
- Department
of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education and Research, Mysuru 570015, India
- Centre
for Experimental Pharmacology and Toxicology, Central Animal Facility, JSS Academy of Higher Education and Research, Mysuru 570015, India
| | - Tousif Ahmed Hediyal
- Department
of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education and Research, Mysuru 570015, India
- Centre
for Experimental Pharmacology and Toxicology, Central Animal Facility, JSS Academy of Higher Education and Research, Mysuru 570015, India
| | - Nikhilesh Anand
- Department
of Pharmacology, College of Medicine, American
University of Antigua, P. O. Box W-1451, Saint John’s, Antigua and Barbuda
| | - Pavan Heggadadevanakote Kendaganna
- Centre
for Experimental Pharmacology and Toxicology, Central Animal Facility, JSS Academy of Higher Education and Research, Mysuru 570015, India
| | - Gurudutt Pendyala
- Department
of Anesthesiology, University of Nebraska
Medical Center (UNMC), Omaha, Nebraska 68198, United States
- Department
of Genetics, Cell Biology, and Anatomy, UNMC, Omaha, Nebraska 68198, United States
- Child Health
Research Institute, UNMC, Omaha, Nebraska 68198, United States
- National
Strategic Research Institute, UNMC, Omaha, Nebraska 68198, United States
| | - Sowmya V. Yelamanchili
- Department
of Anesthesiology, University of Nebraska
Medical Center (UNMC), Omaha, Nebraska 68198, United States
- Department
of Genetics, Cell Biology, and Anatomy, UNMC, Omaha, Nebraska 68198, United States
- National
Strategic Research Institute, UNMC, Omaha, Nebraska 68198, United States
| | - Jian Yang
- Drug
Discovery and Development Research Group, College of Pharmacy and
Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan S7N 5E5, Canada
| | - Saravana Babu Chidambaram
- Department
of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education and Research, Mysuru 570015, India
- Centre
for Experimental Pharmacology and Toxicology, Central Animal Facility, JSS Academy of Higher Education and Research, Mysuru 570015, India
| | - Meena Kishore Sakharkar
- Drug
Discovery and Development Research Group, College of Pharmacy and
Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan S7N 5E5, Canada
| | - Arehally M. Mahalakshmi
- Department
of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education and Research, Mysuru 570015, India
- Centre
for Experimental Pharmacology and Toxicology, Central Animal Facility, JSS Academy of Higher Education and Research, Mysuru 570015, India
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Chimthanawala NMA, Haria A, Sathaye S. Non-invasive Biomarkers for Early Detection of Alzheimer's Disease: a New-Age Perspective. Mol Neurobiol 2024; 61:212-223. [PMID: 37596437 DOI: 10.1007/s12035-023-03578-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 08/14/2023] [Indexed: 08/20/2023]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that primarily affects the elderly population. It gradually leads to memory loss, loss of thinking ability, and an overall cognitive decline. However, exhaustive literature is available to suggest that pathological changes in the brain occur decades before the first clinical symptoms appear. This review provides insight into the non-invasive biomarkers for early detection of AD that have been successfully studied in populations across the globe. These biomarkers have been detected in the blood, saliva, breath, and urine samples. Retinal imaging techniques are also reported. In this study, PubMed and Google scholar were the databases employed using keywords "Alzheimer's disease," "neurodegeneration," "non-invasive biomarkers," "early diagnosis," "blood-based biomarkers," and "preclinical AD," among others. The evaluation of these biomarkers will provide early diagnosis of AD in the preclinical stages due to their positive correlation with brain pathology in AD. Early diagnosis with reliable and timely intervention can effectively manage this disease.
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Affiliation(s)
- Niyamat M A Chimthanawala
- Department of Pharmaceutical Sciences & Technology, Institute of Chemical Technology, Nathalal Parekh Marg, Mumbai, 400019, Maharashtra, India
| | - Akash Haria
- Department of Pharmaceutical Sciences & Technology, Institute of Chemical Technology, Nathalal Parekh Marg, Mumbai, 400019, Maharashtra, India
| | - Sadhana Sathaye
- Department of Pharmaceutical Sciences & Technology, Institute of Chemical Technology, Nathalal Parekh Marg, Mumbai, 400019, Maharashtra, India.
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3
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Umapathy VR, Natarajan PM, Swamikannu B. Review Insights on Salivary Proteomics Biomarkers in Oral Cancer Detection and Diagnosis. Molecules 2023; 28:5283. [PMID: 37446943 PMCID: PMC10343386 DOI: 10.3390/molecules28135283] [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: 05/19/2023] [Revised: 07/02/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023] Open
Abstract
Early detection is crucial for the treatment and prognosis of oral cancer, a potentially lethal condition. Tumor markers are abnormal biological byproducts produced by malignant cells that may be found and analyzed in a variety of bodily fluids, including saliva. Early detection and appropriate treatment can increase cure rates to 80-90% and considerably improve quality of life by reducing the need for costly, incapacitating medicines. Salivary diagnostics has drawn the interest of many researchers and has been proven to be an effective tool for both medication monitoring and the diagnosis of several systemic diseases. Since researchers are now searching for biomarkers in saliva, an accessible bodily fluid, for noninvasive diagnosis of oral cancer, measuring tumor markers in saliva is an interesting alternative to blood testing for early identification, post-treatment monitoring, and monitoring high-risk lesions. New molecular markers for oral cancer detection, treatment, and prognosis have been found as a result of developments in the fields of molecular biology and salivary proteomics. The numerous salivary tumor biomarkers and how they relate to oral cancer and pre-cancer are covered in this article. We are optimistic that salivary protein biomarkers may one day be discovered for the clinical detection of oral cancer because of the rapid advancement of proteomic technology.
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Affiliation(s)
- Vidhya Rekha Umapathy
- Department of Public Health Dentistry, Thai Moogambigai Dental College and Hospital, Dr. M.G.R. Educational and Research Institute, Chennai 600107, Tamil Nadu, India
| | - Prabhu Manickam Natarajan
- Department of Clinical Sciences, Centre of Medical and Bio-Allied Health Sciences and Research, Ajman University, Ajman P.O. Box 346, United Arab Emirates
| | - Bhuminathan Swamikannu
- Department of Prosthodontics, Sree Balaji Dental College and Hospital, BIHER University, Pallikaranai, Chennai 600100, Tamil Nadu, India;
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4
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Qiu S, Cai Y, Yao H, Lin C, Xie Y, Tang S, Zhang A. Small molecule metabolites: discovery of biomarkers and therapeutic targets. Signal Transduct Target Ther 2023; 8:132. [PMID: 36941259 PMCID: PMC10026263 DOI: 10.1038/s41392-023-01399-3] [Citation(s) in RCA: 99] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/22/2023] Open
Abstract
Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.
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Affiliation(s)
- Shi Qiu
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China
| | - Ying Cai
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Hong Yao
- First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China
| | - Chunsheng Lin
- Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, 150001, China
| | - Yiqiang Xie
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Songqi Tang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Aihua Zhang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
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Hyvärinen E, Solje E, Vepsäläinen J, Kullaa A, Tynkkynen T. Salivary Metabolomics in the Diagnosis and Monitoring of Neurodegenerative Dementia. Metabolites 2023; 13:metabo13020233. [PMID: 36837852 PMCID: PMC9968225 DOI: 10.3390/metabo13020233] [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: 12/19/2022] [Revised: 01/17/2023] [Accepted: 02/02/2023] [Indexed: 02/08/2023] Open
Abstract
Millions of people suffer with dementia worldwide. However, early diagnosis of neurodegenerative diseases/dementia (NDD) is difficult, and no specific biomarkers have been found. This study aims to review the applications of salivary metabolomics in diagnostics and the treatment monitoring of NDD A literature search of suitable studies was executed so that a total of 29 original research articles were included in the present review. Spectroscopic methods, mainly nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry, give us a broad view of changes in salivary metabolites in neurodegenerative diseases. The role of different salivary metabolites in brain function is discussed. Further studies with larger patient cohorts should be carried out to investigate the association between salivary metabolites and brain function and thus learn more about the complicated pathways in the human body.
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Affiliation(s)
- Eelis Hyvärinen
- Institute of Dentistry, University of Eastern Finland, 70210 Kuopio, Finland
| | - Eino Solje
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, 70210 Kuopio, Finland
- Neuro Center, Neurology, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Jouko Vepsäläinen
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, 70210 Kuopio, Finland
| | - Arja Kullaa
- Institute of Dentistry, University of Eastern Finland, 70210 Kuopio, Finland
- Correspondence: ; Tel.: +358-44-515-0452
| | - Tuulia Tynkkynen
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, 70210 Kuopio, Finland
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6
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Yang YH, Lei L, Bao YP, Zhang L. An Integrated Metabolomic Screening Platform Discovers the Potential Biomarkers of Ischemic Stroke and Reveals the Protective Effect and Mechanism of Folic Acid. Front Mol Biosci 2022; 9:783793. [PMID: 35664672 PMCID: PMC9158342 DOI: 10.3389/fmolb.2022.783793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 01/17/2022] [Indexed: 11/29/2022] Open
Abstract
Folic acid has a protective effect against ischemic stroke. However, the protective pharmacological mechanism remains unclear. The aim of this study is to explore the protective effect of folic acid on ischemic stroke animals by an integrated metabolomic biomarker screening platform. Based on ultra-performance liquid chromatography-tandem mass spectrometry (UPLC/MS) coupled with multivariate data analysis, the changes in metabolites and pathways were characterized. We found that the metabolic alteration involved a total of 37 metabolites, of which 26 biomarkers such as γ-aminobutyric acid, lysine, glutamate, ribose, and valine can be regulated by folic acid via metabolic pathways of amino acid metabolism, carbohydrate metabolism, fatty acid metabolism, citrate cycle, and pyruvate metabolism, which may be the potential therapeutic targets of folic acid against ischemic stroke. Folic acid as an emerging potential natural anti-fibrosis agent has significant activity in protecting against middle cerebral artery occlusion-induced rat ischemic stroke model by delaying pathological development, reversing the metabolic biomarkers, and mainly regulating the perturbation in amino acid metabolism, carbohydrate metabolism, fatty acid metabolism, citrate cycle, and pyruvate metabolism. It also showed that the integrated metabolic biomarker screening platform could provide a better understanding of the therapeutic effect and mechanism of drugs.
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Affiliation(s)
- Yan-hui Yang
- Department of Clinical Nutrition, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
- *Correspondence: Yan-hui Yang,
| | - Lei Lei
- Department of Nutrition, Harbin First Hospital, Harbin, China
| | - Yin-ping Bao
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Lu Zhang
- Department of Clinical Nutrition, Heilongjiang Provincial Hospital, Harbin, China
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7
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Yang B, He M, Chen X, Sun M, Pan T, Xu X, Zhang X, Gong Q, Zhao Y, Jin Z, Cheng Z. Acupuncture Effect Assessment in APP/PS1 Transgenic Mice: On Regulating Learning-Memory Abilities, Gut Microbiota, and Microbial Metabolites. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:1527159. [PMID: 35432583 PMCID: PMC9012623 DOI: 10.1155/2022/1527159] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 03/02/2022] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD) is a brain illness that affects learning and memory capacities over time. In recent investigations, acupuncture has been shown to be an effective alternative treatment for AD. We investigated the effect of acupuncture on learning and memory abilities using a water maze in APP/PS1 transgenic mice. The amounts of Aβ and tau protein in mice's hippocampal tissue were determined using Western blot. The levels of IL-1β, IL-10, LPS and TNF-α in mice's serum were measured using ELISA. The variations of gut microbiota in mice's feces were determined using the 16SrDNA technique, and the metabolites were examined using a untargeted metabolomics methodology. The results showed that acupuncture treatment improved mice's learning and memory abilities substantially. Acupuncture therapy regulated the Aβ and tau protein concentration as well as the levels of IL-10 and LPS. Acupuncture treatment influenced the mouse microbiota and metabolites and had been linked to six biochemical pathways. This study adds to our understanding of the effect of acupuncture on AD and opens the door to further research into the alterations of intestinal bacteria in the presence of AD.
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Affiliation(s)
- Bo Yang
- Liaoning University of Traditional Chinese Medicine, No. 79, Chongshan Eastern Rd, Huanggu District, 110847 Shenyang, China
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Min He
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Xinhua Chen
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Mengmeng Sun
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Ting Pan
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Xiaohong Xu
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Xuesong Zhang
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Qing Gong
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Ye Zhao
- Northwest University, No. 229, Taibai North Road, Xi' an 710069, China
| | - Ziqi Jin
- Changchun University of Chinese Medicine, No. 1035, Boshuo Rd, Jingyue Economic Development District, 130117 Changchun, China
| | - Zedong Cheng
- Liaoning University of Traditional Chinese Medicine, No. 79, Chongshan Eastern Rd, Huanggu District, 110847 Shenyang, China
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Wang D, Zhao L, Hao Z, Huang Y, Liao Y, Wang L, Zhang J, Cao S, Liu L. High-Throughput and Untargeted Metabolic Profiling Revealed the Potential Effect and Mechanisms of Paeoniflorin in Young Asthmatic Rats. Front Pharmacol 2022; 13:829780. [PMID: 35211022 PMCID: PMC8861441 DOI: 10.3389/fphar.2022.829780] [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: 12/06/2021] [Accepted: 01/10/2022] [Indexed: 11/13/2022] Open
Abstract
Paeoniflorin (PF) is a multi-target monoterpenoid glycoside and possesses broad pharmacological functions, e.g., anti-inflammation, anti-depression, antitumor, abirritation, neuroprotection, antioxidant, and enhancing cognitive and learning ability. PF has gained a large amount of attention for its effect on asthma disease as the growth rate of asthma has increased in recent years. However, its mechanism of action on asthma is still unclear. In this study, we have explored the action mechanism of PF on asthma disease. Furthermore, high-throughput untargeted metabolic profiling was performed through ultraperformance liquid chromatography/electrospray ionization quadruple time-of-flight high-definition mass spectrometry (QA) UPLC-Q/TOF-MS combined with pattern recognition approaches and pathway analysis. A total of 20 potential biomarkers were discovered by UPLC/MS and urine metabolic profiling. The key pathways including the citrate cycle (the TCA cycle), pyrimidine metabolism, pentose phosphate pathway, tyrosine metabolism, and tryptophan metabolism were affected by PF. In conclusion, we have discovered metabolite biomarkers and revealed the therapeutic mechanism of PF based on liquid chromatography coupled with mass spectrometry untargeted metabolomics. The untargeted metabolomics combined with UPLC-MS is a useful tool for exploring the therapeutic mechanism and targets of PF in the treatment of asthma. Metabolomics combined with UPLC-MS is an integrated method to explore the metabolic mechanism of PF in the treatment of asthma rats and to reveal the potential targets, providing theoretical support for the study of the treatment of PF.
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Affiliation(s)
- Dan Wang
- Department of Pediatrics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Li Zhao
- Sanya Women and Children's Hospital Managed by Shanghai Children's Medical Center, Sanya, China
| | - Zhiyan Hao
- Department of Pediatrics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Ying Huang
- Department of Pediatrics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Yang Liao
- Department of Pediatrics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Lingli Wang
- Department of Pediatrics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Jinfeng Zhang
- Department of Pediatrics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Shan Cao
- Department of Pediatrics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
| | - Lixiao Liu
- Department of Pediatrics, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China
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9
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Zhang J, Wen X, Li Y, Zhang J, Li X, Qian C, Tian Y, Ling R, Duan Y. Diagnostic approach to thyroid cancer based on amino acid metabolomics in saliva by ultra-performance liquid chromatography with high resolution mass spectrometry. Talanta 2021; 235:122729. [PMID: 34517597 DOI: 10.1016/j.talanta.2021.122729] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/08/2021] [Accepted: 07/12/2021] [Indexed: 12/24/2022]
Abstract
Thyroid cancer is a malignant disease with dramatically low advanced-stage 10-year survival. Meanwhile, the metabolites in saliva are becoming a wealthy source of disease biomarkers. However, there is a lack of non-invasive analytical methods for the identification of biomarkers in saliva for the preoperative diagnosis of thyroid cancer. Therefore, we developed an ultra-high performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS) method to simultaneously determine the metabolic levels of 10 amino acids in saliva, aiming to study the amino acid metabolism profile to promote early diagnosis of thyroid cancer. We tested unstimulated whole saliva from patients with papillary thyroid carcinoma (PTC; n = 61) and healthy controls (HC; n = 61), and used receiver operating characteristic (ROC) curves to establish the diagnostic value of potential markers. The method validation results showed good precision, linearity (R2 > 0.99), recovery (92.2 %-110.3 %), intra- and inter-day precision (RSD < 7 % and RSD < 9 %, respectively). The concentration of 10 amino acids was significantly different between PTC and HC in human salivary analysis (P < 0.05), the area under the curve (AUC) values of a single marker for the diagnosis of PTC were ranging from 0.678 to 0.833. A panel of alanine, valine, proline, phenylalanine was selected in combination yielded the AUC of 0.936, which will improve the accuracy of early diagnosis of thyroid cancer (sensitivity: 91.2 %; specificity: 85.2 %). This study proved the possibility of salivary amino acid biomarkers for PTC early diagnosis, providing a simple auxiliary way for the non-invasive diagnosis of thyroid cancer.
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Affiliation(s)
- Jing Zhang
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an, Shaanxi, 710069, China
| | - Xinxin Wen
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710069, China
| | - Yuting Li
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an, Shaanxi, 710069, China
| | - Jing Zhang
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an, Shaanxi, 710069, China
| | - Xian Li
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an, Shaanxi, 710069, China
| | - Cheng Qian
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an, Shaanxi, 710069, China
| | - Yonghui Tian
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an, Shaanxi, 710069, China
| | - Rui Ling
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710069, China.
| | - Yixiang Duan
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an, Shaanxi, 710069, China.
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10
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Yuan Y, Dong FX, Liu X, Xiao HB, Zhou ZG. Liquid Chromatograph-Mass Spectrometry-Based Non-targeted Metabolomics Discovery of Potential Endogenous Biomarkers Associated With Prostatitis Rats to Reveal the Effects of Magnoflorine. Front Pharmacol 2021; 12:741378. [PMID: 34790120 PMCID: PMC8591080 DOI: 10.3389/fphar.2021.741378] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/27/2021] [Indexed: 11/24/2022] Open
Abstract
Magnoflorine (Mag) has multiple pharmacological activities for the prevention and treatment of prostatitis. However, its molecular mechanisms andpharmacological targets are not clear. In this study, the ultra-performance liquid tandem mass spectrometry-based metabolomics method was used to clarify the intervention of Mag against prostatitis and the biological mechanism. A total of 25 biomarkers associated with the prostatitis model were identified by metabolomics, and a number of metabolic pathways closely related to the model were obtained by MetPA analysis. After given Mag treatment, the results of each indicator were shown that Mag alkaloid could inhibit the development of prostatitis effectively. We found that Mag had regulative effects on potential biomarkers of prostatitis model, which can regulate them to the control group. Our results indicated that alkaloids have an effective intervention therapy for prostatitis, and five types of metabolic pathways closely related to prostatitis model were obtained, including phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, tyrosine metabolism, arginine and proline metabolism, glycine, serine and threonine metabolism, alanine, aspartate and glutamate metabolism. This study has provided the basic experimental data for the development of Mag in the prevention and treatment of prostatitis.
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Affiliation(s)
- Yin Yuan
- Department of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Fei-Xue Dong
- First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xu Liu
- Department of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Hong-Bin Xiao
- Department of Basic Medicine, College of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Zhong-Guang Zhou
- Research Institute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin, China
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11
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Shi Z, Zou S, Shen Z, Luan F, Yan J. High-throughput metabolomics using UPLC/Q-TOF-MS coupled with multivariate data analysis reveals the effect and mechanism of syringin against ovariectomized osteoporosis. J Chromatogr B Analyt Technol Biomed Life Sci 2021; 1183:122957. [PMID: 34666892 DOI: 10.1016/j.jchromb.2021.122957] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 03/28/2021] [Accepted: 09/25/2021] [Indexed: 12/15/2022]
Abstract
Osteoporosis is an increasing public health problem in the worldwide and has caused socioeconomic burden. Natural products as candidates have the potential to promote bone formation and suppress bone resorption for osteoporosis treatment. Previously, syringin has showed the potent anti-osteoporosis activity, however the detailed mechanism of syringin against osteoporosis is still unclear. This study aimed to reveal the pharmacological effect and mechanism of syringin through the high-throughput metabolomics. In this study, metabolomics techniques were used to explore the metabolic biomarkers and profiles provides deep insights into the pharmacological effects and mechanism of syringin against osteoporosis. The metabolite biomarkers were monitored based on the high-resolution mass spectrometry. By the integration analysis of metabolomics technology, a total of 23 metabolic biomarkers were discovered and we found the highly relevant pathway involved in glycine and serine metabolism, butyrate metabolism, methionine metabolism, catecholamine biosynthesis, tyrosine metabolism, etc. Interestingly, synthesis and degradation of ketone bodies, phenylalanine, tyrosine and tryptophan biosynthesis, arachidonic acid metabolism, tyrosine metabolism, glycine, serine and threonine metabolism, butanoate metabolism, was related with efficacy of syringin. The present work showed that the metabolomics technology can provide novel strategies for revealing insights into the metabolic effects and action mechanism of drug.
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Affiliation(s)
- Zhenxing Shi
- Orthopedics and Oncology Department, Second Affiliated Hospital of Medical University of Heilongjiang Province, Harbin 150086, China
| | - Shifeng Zou
- Intensive Care Unit Department, First Affiliated Hospital of Medical University of Heilongjiang Province, Harbin, China
| | - Zilong Shen
- Intensive Care Unit Department, First Affiliated Hospital of Medical University of Heilongjiang Province, Harbin, China
| | - Feiyu Luan
- Orthopedics and Oncology Department, Second Affiliated Hospital of Medical University of Heilongjiang Province, Harbin 150086, China
| | - Jianglong Yan
- Orthopedics and Oncology Department, Second Affiliated Hospital of Medical University of Heilongjiang Province, Harbin 150086, China.
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12
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Reveglia P, Paolillo C, Ferretti G, De Carlo A, Angiolillo A, Nasso R, Caputo M, Matrone C, Di Costanzo A, Corso G. Challenges in LC-MS-based metabolomics for Alzheimer's disease early detection: targeted approaches versus untargeted approaches. Metabolomics 2021; 17:78. [PMID: 34453619 PMCID: PMC8403122 DOI: 10.1007/s11306-021-01828-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 08/06/2021] [Indexed: 01/22/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is one of the most common causes of dementia in old people. Neuronal deficits such as loss of memory, language and problem-solving are severely compromised in affected patients. The molecular features of AD are Aβ deposits in plaques or in oligomeric structures and neurofibrillary tau tangles in brain. However, the challenge is that Aβ is only one piece of the puzzle, and recent findings continue to support the hypothesis that their presence is not sufficient to predict decline along the AD outcome. In this regard, metabolomic-based techniques are acquiring a growing interest for either the early diagnosis of diseases or the therapy monitoring. Mass spectrometry is one the most common analytical platforms used for detection, quantification, and characterization of metabolic biomarkers. In the past years, both targeted and untargeted strategies have been applied to identify possible interesting compounds. AIM OF REVIEW The overall goal of this review is to guide the reader through the most recent studies in which LC-MS-based metabolomics has been proposed as a powerful tool for the identification of new diagnostic biomarkers in AD. To this aim, herein studies spanning the period 2009-2020 have been reported. Advantages and disadvantages of targeted vs untargeted metabolomic approaches have been outlined and critically discussed.
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Affiliation(s)
- Pierluigi Reveglia
- Department of Clinical and Experimental Medicine, University of Foggia, 71122, Foggia, Italy
| | - Carmela Paolillo
- Department of Clinical and Experimental Medicine, University of Foggia, 71122, Foggia, Italy
| | - Gabriella Ferretti
- Department of Neuroscience, School of Medicine, University of Naples Federico II, 80131, Napoli, Italy
| | - Armando De Carlo
- Department of Clinical and Experimental Medicine, University of Foggia, 71122, Foggia, Italy
- Policlinico Riuniti University Hospital, 71122, Foggia, Italy
| | - Antonella Angiolillo
- Department of Medicine and Health Sciences, Center for Research and Training in Aging Medicine, University of Molise, 86100, Campobasso, Italy
| | - Rosarita Nasso
- Department of Neuroscience, School of Medicine, University of Naples Federico II, 80131, Napoli, Italy
| | - Mafalda Caputo
- Department of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, 80131, Napoli, Italy
| | - Carmela Matrone
- Department of Neuroscience, School of Medicine, University of Naples Federico II, 80131, Napoli, Italy
| | - Alfonso Di Costanzo
- Department of Medicine and Health Sciences, Center for Research and Training in Aging Medicine, University of Molise, 86100, Campobasso, Italy
| | - Gaetano Corso
- Department of Clinical and Experimental Medicine, University of Foggia, 71122, Foggia, Italy.
- Policlinico Riuniti University Hospital, 71122, Foggia, Italy.
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13
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Toan NK, Ahn SG. Aging-Related Metabolic Dysfunction in the Salivary Gland: A Review of the Literature. Int J Mol Sci 2021; 22:5835. [PMID: 34072470 PMCID: PMC8198609 DOI: 10.3390/ijms22115835] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 05/27/2021] [Accepted: 05/27/2021] [Indexed: 12/13/2022] Open
Abstract
Aging-related salivary dysfunction commonly induces the poor oral health, including decreased saliva flow and dental caries. Although the clinical significance of the salivary glands is well-known, the complex metabolic pathways contributing to the aging-dysfunction process are only beginning to be uncovered. Here, we provide a comprehensive overview of the metabolic changes in aging-mediated salivary gland dysfunction as a key aspect of oral physiology. Several metabolic neuropeptides or hormones are involved in causing or contributing to salivary gland dysfunction, including hyposalivation and age-related diseases. Thus, aging-related metabolism holds promise for early diagnosis, increased choice of therapy and the identification of new metabolic pathways that could potentially be targeted in salivary gland dysfunction.
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Affiliation(s)
| | - Sang-Gun Ahn
- Department of Pathology, School of Dentistry, Chosun University, Gwangju 61452, Korea;
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14
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François M, Karpe A, Liu JW, Beale D, Hor M, Hecker J, Faunt J, Maddison J, Johns S, Doecke J, Rose S, Leifert WR. Salivaomics as a Potential Tool for Predicting Alzheimer's Disease During the Early Stages of Neurodegeneration. J Alzheimers Dis 2021; 82:1301-1313. [PMID: 34151801 PMCID: PMC8461673 DOI: 10.3233/jad-210283] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/18/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND The metabolomic and proteomic basis of mild cognitive impairment (MCI) and Alzheimer's disease (AD) is poorly understood and the relationships between systemic abnormalities in metabolism and AD/AMCI pathogenesis are unclear. OBJECTIVE The aim of the study was to compare the metabolomic and proteomic signature of saliva from cognitively normal and patients diagnosed with MCI or AD, to identify specific cellular pathways altered with the progression of the disease. METHODS We analyzed 80 saliva samples from individuals with MCI or AD as well as age- and gender-matched healthy controls. Saliva proteomic and metabolomic analyses were conducted utilizing mass spectrometry methods and data combined using pathway analysis. RESULTS We found significant alterations in multiple cellular pathways, demonstrating that at the omics level, disease progression impacts numerous cellular processes. Multivariate statistics using SIMCA showed that partial least squares-data analysis could be used to provide separation of the three groups. CONCLUSION This study found significant changes in metabolites and proteins from multiple cellular pathways in saliva. These changes were associated with AD, demonstrating that this approach might prove useful to identify new biomarkers based upon integration of multi-omics parameters.
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Affiliation(s)
- Maxime François
- CSIRO Health & Biosecurity, Nutrition and Health Program, Molecular Diagnostic Solutions Group, Adelaide, South Australia, Australia
| | - Avinash Karpe
- CSIRO Land & Water, Metabolomics Unit, Ecosciences Precinct, Dutton Park, QLD, Australia
| | - Jian-Wei Liu
- CSIRO Land & Water, Agricultural and Environmental Sciences Precinct, Acton, Canberra, ACT, Australia
| | - David Beale
- CSIRO Land & Water, Metabolomics Unit, Ecosciences Precinct, Dutton Park, QLD, Australia
| | - Maryam Hor
- CSIRO Health & Biosecurity, Nutrition and Health Program, Molecular Diagnostic Solutions Group, Adelaide, South Australia, Australia
| | - Jane Hecker
- Department of Internal Medicine, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Jeff Faunt
- Department of General Medicine, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - John Maddison
- Aged Care Rehabilitation & Palliative Care, SA Health, Modbury Hospital, South Australia, Australia
| | - Sally Johns
- Aged Care Rehabilitation & Palliative Care, SA Health, Modbury Hospital, South Australia, Australia
| | - James Doecke
- CSIRO Health and Biosecurity/Australian e-Health Research Centre Level 5, University of Queensland Health Sciences Building, Royal Brisbane and Women’s Hospital, Herston, Queensland, Australia
| | - Stephen Rose
- CSIRO Health and Biosecurity/Australian e-Health Research Centre Level 5, University of Queensland Health Sciences Building, Royal Brisbane and Women’s Hospital, Herston, Queensland, Australia
| | - Wayne R. Leifert
- CSIRO Health & Biosecurity, Nutrition and Health Program, Molecular Diagnostic Solutions Group, Adelaide, South Australia, Australia
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15
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Zhao LK, Zhao YB, Zhang PX. High-throughput metabolomics discovers metabolite biomarkers and insights the protective mechanism of schisandrin B on myocardial injury rats. J Sep Sci 2020; 44:717-725. [PMID: 33247873 DOI: 10.1002/jssc.202000875] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 11/16/2020] [Accepted: 11/23/2020] [Indexed: 12/26/2022]
Abstract
Schisandrin B has been proved to possess anti-inflammatory and anti-endoplasmic effects, could improve cardiac function, inhibit apoptosis, and reduce inflammation after ischemic injury. However, the detailed metabolic mechanism and potential pathways of Schisandrin B effects on myocardial injury are unclear. Metabolomics could yield in-depth mechanistic insights and explore the potential therapeutic effect of natural products. In this study, the preparation of doxorubicin-induced myocardial injury rat model for evaluation of Schisandrin B on viral myocarditis sequelae related pathological changes and its mechanism. The metabolite profiling of myocardial injury rats was performed through ultra-high performance liquid chromatography combined with mass spectrometry combined with pattern recognition approaches and pathway analysis. A total of 15 metabolites (nine in positive ion mode and six in negative ion mode) were considered as potential biomarkers of myocardial injury, and these metabolites may correlate with the regulation of Schisandrin B treatment. A total of six metabolic pathways are closely related to Schisandrin B treatment, including glycerophospholipid metabolism, sphingolipid metabolism, purine metabolism, etc. This study revealed the potential biomarkers and metabolic network pathways of myocardial injury, and illuminated the protective mechanism of Schisandrin B on myocardial injury.
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Affiliation(s)
- Ling-Kun Zhao
- School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, P. R. China
| | - Yun-Bo Zhao
- First Affiliated Hospital, Jiamusi University, Jiamusi, Heilongjiang, P. R. China
| | - Peng-Xia Zhang
- School of Basic Medicine, Jiamusi University, Jiamusi, Heilongjiang, P. R. China
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16
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Zhao Y, Chen H, Iqbal J, Liu X, Zhang H, Xiao S, Jin N, Yao F, Shen L. Targeted metabolomics study of early pathological features in hippocampus of triple transgenic Alzheimer's disease male mice. J Neurosci Res 2020; 99:927-946. [PMID: 33197957 DOI: 10.1002/jnr.24750] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 10/16/2020] [Accepted: 10/20/2020] [Indexed: 12/20/2022]
Abstract
Alzheimer's disease (AD) is a serious neurodegenerative disease in people of age 65 or above. The detailed etiology and pathogenesis of AD have not been elucidated yet. In this study, the hippocampi of 2- and 6-month-old triple transgenic Alzheimer's disease male mice and age-sex-matched wild-type (WT) mice were analyzed by using targeted metabolomics approach. Compared with WT mice, 24 and 60 metabolites were found with significant differences in 2- and 6-month-old AD mice. Among these, 14 metabolites were found common while 10 metabolites showed consistent variable trends in both groups. These differential metabolites are found associated with amino acid, lipid, vitamin, nucleotide-related base, neurotransmitter and energy metabolisms, and oxidative stress. The results suggest that these differential metabolites might play a critical role in AD pathophysiology, and may serve as potential biomarkers for AD. Moreover, the results highlight the involvement of abnormal purine, pyrimidine, arginine, and proline metabolism, along with glycerophospholipid metabolism in early pathology of AD. For the first time, several differential metabolites are found to be associated with AD in this study. Targeted metabolomics can be used for rapid and accurate quantitative analysis of specific target metabolites associated with AD.
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Affiliation(s)
- Yuxi Zhao
- College of Life Science and Oceanography, Shenzhen University, Shenzhen, P.R. China
| | - Haiquan Chen
- College of Life Science and Oceanography, Shenzhen University, Shenzhen, P.R. China
| | - Javed Iqbal
- College of Life Science and Oceanography, Shenzhen University, Shenzhen, P.R. China
| | - Xukun Liu
- College of Life Science and Oceanography, Shenzhen University, Shenzhen, P.R. China
| | - Huajie Zhang
- College of Life Science and Oceanography, Shenzhen University, Shenzhen, P.R. China.,Shenzhen Bay Laboratory, Shenzhen, P.R. China
| | - Shifeng Xiao
- College of Life Science and Oceanography, Shenzhen University, Shenzhen, P.R. China
| | - Na Jin
- College of Life Science and Oceanography, Shenzhen University, Shenzhen, P.R. China
| | - Fang Yao
- College of Life Science and Oceanography, Shenzhen University, Shenzhen, P.R. China.,Shenzhen Key Laboratory of Marine Biotechnology and Ecology, Shenzhen, P.R. China
| | - Liming Shen
- College of Life Science and Oceanography, Shenzhen University, Shenzhen, P.R. China
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17
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Sun YC, Han SC, Yao MZ, Wang YM, Geng LW, Wang P, Lu WH, Liu HB. High-throughput metabolomics method based on liquid chromatography-mass spectrometry: Insights into the underlying mechanisms of salinity-alkalinity exposure-induced metabolites changes in Barbus capito. J Sep Sci 2020; 44:497-512. [PMID: 33164302 DOI: 10.1002/jssc.202000861] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 11/01/2020] [Accepted: 11/04/2020] [Indexed: 01/13/2023]
Abstract
It is critical to investigate the adaptive development and the physiological mechanism of fish in external stimulation. In this study, the response of Barbus capito to salinity-alkalinity exposure was explored by high-throughput nontargeted and liquid chromatography-mass spectrometry-based metabolomics to investigate metabolic biomarker and pathway changes. Meanwhile, the biochemical indexes of Barbus capito were measured to discover the chronic impairment response to salinity-alkalinity exposures. A total of 29 tissue metabolites were determined to deciphering the endogenous metabolic changes of fishes during the different concentration salinity-alkalinity exposures environment, which were mainly involved in the key metabolism including the phenylalanine, tyrosine, and tryptophan biosynthesis, arachidonic acid metabolism, pyruvate metabolism, citrate cycle, and glycerophospholipid metabolism. Finally, we found the amino acid metabolism as key target was associated with the endogenous metabolites and metabolic pathways of Barbus capito to salinity-alkalinity exposures. In conclusion, metabolomics is a potentially powerful tool to reveal the mechanism information of fish in various exposure environments.
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Affiliation(s)
- Yan-Chun Sun
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Shi-Cheng Han
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Ming-Zhu Yao
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China.,Department of Food Science and Engineering, College of Food Science and Technology, Shanghai Ocean University, Shanghai, P. R. China
| | - Yu-Mei Wang
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Long-Wu Geng
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Peng Wang
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
| | - Wei-Hong Lu
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, P. R. China
| | - Hong-Bai Liu
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture and Rural Areas, Harbin, P. R. China
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18
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Ralbovsky NM, Halámková L, Wall K, Anderson-Hanley C, Lednev IK. Screening for Alzheimer's Disease Using Saliva: A New Approach Based on Machine Learning and Raman Hyperspectroscopy. J Alzheimers Dis 2020; 71:1351-1359. [PMID: 31524171 DOI: 10.3233/jad-190675] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Alzheimer's disease and related dementias (ADRDs) are being diagnosed at epidemic rates, with incidence to triple from 35 to 115 million cases worldwide. Most ADRDs are characterized by progressive neurodegeneration, and Alzheimer's disease (AD) is the sixth leading cause of death in the United States. The ideal moment for diagnosing ADRDs is during the earliest stages of its progression; however, current diagnostic methods are inefficient, expensive, and unsuccessful at making diagnoses during the earliest stages of the disease. OBJECTIVE The aim of this project was to utilize Raman hyperspectroscopy in combination with machine learning to develop a novel method for the diagnosis of AD based on the analysis of saliva. METHODS Raman hyperspectroscopy was used to analyze saliva samples collected from normative, AD, and mild cognitive impairment (MCI) individuals. Genetic Algorithm and Artificial Neural Networks machine learning techniques were applied to the spectral dataset to build a diagnostic algorithm. RESULTS Internal cross-validation showed 99% accuracy for differentiating the three classes; blind external validation was conducted using an independent dataset to further verify the results, achieving 100% accuracy. CONCLUSION Raman hyperspectroscopic analysis of saliva has a remarkable potential for use as a non-invasive, efficient, and accurate method for diagnosing AD.
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Affiliation(s)
- Nicole M Ralbovsky
- Department of Chemistry, University at Albany, SUNY, Albany, NY, USA.,The RNA Institute, College of Arts and Science, University at Albany, SUNY, Albany, NY, USA
| | - Lenka Halámková
- Department of Chemistry, University at Albany, SUNY, Albany, NY, USA
| | - Kathryn Wall
- Department of Psychology and Neuroscience, Union College, Schenectady, NY, USA
| | - Cay Anderson-Hanley
- Department of Psychology and Neuroscience, Union College, Schenectady, NY, USA
| | - Igor K Lednev
- Department of Chemistry, University at Albany, SUNY, Albany, NY, USA.,The RNA Institute, College of Arts and Science, University at Albany, SUNY, Albany, NY, USA
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19
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Du HW, Cong W, Wang B, Zhao XL, Meng XC. High-throughput metabolomic method based on liquid chromatography: high resolution mass spectrometry with chemometrics for metabolic biomarkers and pathway analysis to reveal the protective effects of baicalin on thyroid cancer. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:4139-4149. [PMID: 32776035 DOI: 10.1039/d0ay00977f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Cell metabonomics focuses on discovering metabolic biomarkers and pathway changes in cells from biological systems to obtain the cell properties and functional information under different conditions. Baicalin possesses various pharmacological activities, and plays a vital role in the oncology research field. However, the detailed mechanism of its action is still unclear. In this work, we employed ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) based non-targeted metabolomics method associated with chemometrics analysis to explore metabolic pathways and biomarkers for investigating the efficacy and pharmacological targets of baicalin against thyroid cancer cells. In addition, morphological observation, parameter calculation of cell proliferation and apoptosis were carried out, which assisted in elucidation of pharmacological activity of baicalin on the human thyroid cancer cells. The results showed that baicalin possesses an intense stimulative apoptosis and inhibits proliferation activity on SW579 human thyroid cancer cells, and partially reversed the cell metabolite abnormalities. A total of nineteen differentiated metabolites in SW579 cells were identified and deemed as potential biomarkers after the baicalin treatment, involving nine metabolic pathways, such as taurine and hypotaurine metabolism, pyrimidine metabolism, fructose and mannose metabolism, steroid hormone biosynthesis and sphingolipid metabolism. High-throughput non-targeted metabolomics provide an insight into specialized mechanism of baicalin against thyroid cancer and contributes to novel drug discovery and thyroid cancer management in clinical practice.
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Affiliation(s)
- Hong-Wei Du
- College of Pharmacy, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, Heilongjiang Province, People's Republic of China.
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20
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Zhao JF, Xu JY, Xu YE, Chen SL, Guo YX, Gao QY, Sun GC. High-Throughput Metabolomics Method for Discovering Metabolic Biomarkers and Pathways to Reveal Effects and Molecular Mechanism of Ethanol Extract From Epimedium Against Osteoporosis. Front Pharmacol 2020; 11:1318. [PMID: 32973531 PMCID: PMC7481463 DOI: 10.3389/fphar.2020.01318] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/07/2020] [Indexed: 11/24/2022] Open
Abstract
Metabolomics is an effective strategy to explore the molecular mechanism of herbal medicine. Epimedium, a traditional Chinese herb from the Epimedium brevicornu Maxim., has a therapeutic effect on osteoporosis (OP), however the molecular mechanism of the anti-OP effect is uncle\ar. Therefore, we investigated the pharmacological effect and action mechanism of ethanol extract of epimedium (Ext-epi) onOP rat model. The serum of OP rats was analyzed utilized UPLC-Q-TOF/MS metabolomics, and the potential biomarkers were screened and identified using multivariate data analysis systems and network databases. To further appraise the influence of Ext-epi on biological markers and metabolic pathways, and reveal the potential mechanism of Ext-epi on OP treatment. The results showed that 46 potential biomarkers were screened out and after intervention with Ext-epi extracts solution, 16 potential biomarkers were significantly recalled. Further pathway experiments showed that key pathway analysis include sarachidonic acid metabolism, glycerolphospholipid metabolism as potential targets which is related with the efficacy of Ext-epi protect against OP. These results explain the correlation between metabolites and molecular mechanisms, which is of great significance for understanding the intervention of Ext-epi on OP. In short, based on UPLC-Q-TOF/MS metabolomics may provide effective strategies for understanding the pathogenesis of diseases and evaluating the intervention effect of natural products.
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Affiliation(s)
- Jun-feng Zhao
- The Manual Orthopaedics, Henan Province Luoyang Orthopedic Thraumatological Hospital (Henan Provincal Orthopedic Hospital), Luoyang, China
| | - Jian-yu Xu
- The Tumor Hospital of Harbin Medical University, The Department of Radiation Oncology, The Affiliated Tumour Hospital of Harbin Medical University, Harbin, China
| | - Yi-er Xu
- The Research & Development Center of Harbin Pharmaceutical Group, The Laboratory of Pharmacology Quality Inspection & Pilotscale Experiment Workshop, Harbin, China
| | - Shui-lin Chen
- The Department of Orthopaedics, The Fourth Hospital Attached to Nanchang University, Nanchang, China
| | - Yan-xing Guo
- The Manual Orthopaedics, Henan Province Luoyang Orthopedic Thraumatological Hospital (Henan Provincal Orthopedic Hospital), Luoyang, China
| | - Quan-yang Gao
- The Manual Orthopaedics, Henan Province Luoyang Orthopedic Thraumatological Hospital (Henan Provincal Orthopedic Hospital), Luoyang, China
| | - Gui-cai Sun
- The First Affiliated Hospital of Nanchang University, Orthopaedics, Nanchang University, Nanchang, China
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21
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Campanella B, Lomonaco T, Benedetti E, Onor M, Nieri R, Bramanti E. Validation and Application of a Derivatization-Free RP-HPLC-DAD Method for the Determination of Low Molecular Weight Salivary Metabolites. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E6158. [PMID: 32854235 PMCID: PMC7503734 DOI: 10.3390/ijerph17176158] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 08/12/2020] [Accepted: 08/20/2020] [Indexed: 12/13/2022]
Abstract
Saliva is an interesting, non-conventional, valuable diagnostic fluid. It can be collected using standardized sampling device; thus, its sampling is easy and non-invasive, it contains a variety of organic metabolites that reflect blood composition. The aim of this study was to validate a user-friendly method for the simultaneous determination of low molecular weight metabolites in saliva. We have optimized and validated a high throughput, direct, low-cost reversed phase liquid chromatographic method with diode array detection method without any pre- or post-column derivatization. We indexed salivary biomolecules in 35 whole non-stimulated saliva samples collected in 8 individuals in different days, including organic acids and amino acids and other carbonyl compounds. Among these, 16 whole saliva samples were collected by a single individual over three weeks before, during and after treatment with antibiotic in order to investigate the dynamics of metabolites. The concentrations of the metabolites were compared with the literature data. The multianalyte method here proposed requires a minimal sample handling and it is cost-effectiveness as it makes possible to analyze a high number of samples with basic instrumentation. The identification and quantitation of salivary metabolites may allow the definition of potential biomarkers for non-invasive "personal monitoring" during drug treatments, work out, or life habits over time.
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Affiliation(s)
- Beatrice Campanella
- National Research Council of Italy, C.N.R., Institute of Chemistry of Organometallic Compounds-ICCOM, 56124 Pisa, Italy; (B.C.); (M.O.); (R.N.)
| | - Tommaso Lomonaco
- Department of Chemistry and Industrial Chemistry, University of Pisa, 56124 Pisa, Italy;
| | - Edoardo Benedetti
- Hematology Unit, Department of Oncology, University of Pisa, 56100 Pisa, Italy;
| | - Massimo Onor
- National Research Council of Italy, C.N.R., Institute of Chemistry of Organometallic Compounds-ICCOM, 56124 Pisa, Italy; (B.C.); (M.O.); (R.N.)
| | - Riccardo Nieri
- National Research Council of Italy, C.N.R., Institute of Chemistry of Organometallic Compounds-ICCOM, 56124 Pisa, Italy; (B.C.); (M.O.); (R.N.)
| | - Emilia Bramanti
- National Research Council of Italy, C.N.R., Institute of Chemistry of Organometallic Compounds-ICCOM, 56124 Pisa, Italy; (B.C.); (M.O.); (R.N.)
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Khurshid Z, Warsi I, Moin SF, Slowey PD, Latif M, Zohaib S, Zafar MS. Biochemical analysis of oral fluids for disease detection. Adv Clin Chem 2020; 100:205-253. [PMID: 33453866 DOI: 10.1016/bs.acc.2020.04.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The field of diagnostics using invasive blood testing represents the majority of diagnostic tests used as part of routine health monitoring. The relatively recent introduction of salivary diagnostics has lead to a major paradigm shift in diagnostic analyses. Additionally, in this era of big data, oral fluid testing has shown promising outcomes in a number of fields, particularly the areas of genomics, microbiomics, proteomics, metabolomics, and transcriptomics. Despite the analytical challenges involved in the interpretation of large datasets generated from biochemical studies involving bodily fluids, including saliva, many studies have identified novel oral biomarkers for diagnosing oral and systemic diseases. In this regard, oral biofluids, including saliva, gingival crevicular fluid (GCF), peri-implant crevicular fluid (PICF), dentinal tubular fluid (DTF), are now attracting increasing attention due to their important attributes, such as noninvasive sampling, easy handling, low cost, and more accurate diagnosis of oral diseases. Recently, the utilization of salivary diagnostics to evaluate systemic diseases and monitor general health has increased in popularity among clinicians. Saliva contains a wide range of protein, DNA and RNA biomarkers, which assist in the diagnosis of multiple diseases and conditions, including cancer, cardiovascular diseases (CVD), auto-immune and degenerative diseases, respiratory infections, oral diseases, and microbial (viral, bacterial and fungal) diseases. Moreover, due to its noninvasive nature and ease-of-adoption by children, it is now being used in mass screening programs, oral health-related studies and clinical trials in support of the development of therapeutic agents. The recent advent of highly sensitive technologies, such as next-generation sequencing, mass spectrometry, highly sensitives ELISAs, and homogeneous immunoassays, suggests that even small quantities of salivary biomarkers are able to be assayed accurately, providing opportunities for the development of many future diagnostic applications (including emerging technologies, such as point-of-care and rapid molecular technologies). The present article explores the omics and biochemical compositions of various oral biofluids with important value in diagnostics and monitoring.
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Affiliation(s)
- Zohaib Khurshid
- Department of Prosthodontics and Dental Implantology, College of Dentistry, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Ibrahim Warsi
- Masters in Medical Science and Clinical Investigation, Harvard Medical School, Boston, MA, United States
| | - Syed F Moin
- National Center for Proteomics, University of Karachi, Karachi, Pakistan
| | - Paul D Slowey
- Oasis Diagnostics® Corporation, Vancouver, WA, United States
| | - Muhammad Latif
- Centre for Genetics and Inherited Diseases (CGID), Taibah University, Al Madinah Al Munawwarah, Saudi Arabia
| | - Sana Zohaib
- Department of Biomedical Engineering, College of Engineering, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Muhammad S Zafar
- Department of Restorative Dentistry, College of Dentistry, Taibah University, Al Madinah Al Munawwarah, Saudi Arabia; Department of Dental Materials, Islamic International Dental College, Riphah International University, Islamabad, Pakistan.
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Gardner A, Carpenter G, So PW. Salivary Metabolomics: From Diagnostic Biomarker Discovery to Investigating Biological Function. Metabolites 2020; 10:E47. [PMID: 31991929 PMCID: PMC7073850 DOI: 10.3390/metabo10020047] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 01/15/2020] [Accepted: 01/24/2020] [Indexed: 12/12/2022] Open
Abstract
Metabolomic profiling of biofluids, e.g., urine, plasma, has generated vast and ever-increasing amounts of knowledge over the last few decades. Paradoxically, metabolomic analysis of saliva, the most readily-available human biofluid, has lagged. This review explores the history of saliva-based metabolomics and summarizes current knowledge of salivary metabolomics. Current applications of salivary metabolomics have largely focused on diagnostic biomarker discovery and the diagnostic value of the current literature base is explored. There is also a small, albeit promising, literature base concerning the use of salivary metabolomics in monitoring athletic performance. Functional roles of salivary metabolites remain largely unexplored. Areas of emerging knowledge include the role of oral host-microbiome interactions in shaping the salivary metabolite profile and the potential roles of salivary metabolites in oral physiology, e.g., in taste perception. Discussion of future research directions describes the need to begin acquiring a greater knowledge of the function of salivary metabolites, a current research direction in the field of the gut metabolome. The role of saliva as an easily obtainable, information-rich fluid that could complement other gastrointestinal fluids in the exploration of the gut metabolome is emphasized.
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Affiliation(s)
- Alexander Gardner
- Salivary Research, Centre for Host–Microbiome Interactions, Faculty of Dental, Oral & Craniofacial Sciences, King’s College London, London SE1 9RT, UK; (A.G.); (G.C.)
- Department of Restorative Dentistry, Dental Hospital and School, University of Dundee, Dundee DD1 4HR, UK
| | - Guy Carpenter
- Salivary Research, Centre for Host–Microbiome Interactions, Faculty of Dental, Oral & Craniofacial Sciences, King’s College London, London SE1 9RT, UK; (A.G.); (G.C.)
| | - Po-Wah So
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London SE5 9RT, UK
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Jiang YC, Li YF, Zhou L, Zhang DP. Comparative metabolomics unveils molecular changes and metabolic networks of syringin against hepatitis B mice by untargeted mass spectrometry. RSC Adv 2020; 10:461-473. [PMID: 35492557 PMCID: PMC9048208 DOI: 10.1039/c9ra06332c] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 12/09/2019] [Indexed: 12/18/2022] Open
Abstract
Untargeted metabolomics technology was used to discover the metabolic pathways and biomarkers for revealing the potential biological mechanism of syringin on hepatitis B virus. Serum samples were analyzed by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS)-based comparative metabolomics coupled with pattern recognition methods and network pathway. In addition, the histopathology, HBV DNA detection of liver tissue, and biochemical indicators of liver function change were also explored for investigating the antiviral effect of syringin. In comparison to the model group, the metabolic profiles of the turbulence in transgenic mice tended to recover to the same as the control group after syringin therapy. A total of 33 potential biomarkers were determined to explore the metabolic disorders in the hepatitis B animal model, of which 25 were regulated by syringin, and 8 metabolic pathways, such as phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, arachidonic acid metabolism, glyoxylate and dicarboxylate metabolism, were involved. Syringin markedly reduced the liver pathology change, inhibited HBV DNA replication, and improved liver function. Amino acid metabolism is a potential target for the treatment of hepatitis B. The hepatoprotective effect of syringin may contribute to ameliorating oxidative stress and preventing protein and DNA replication. Comparative metabolomics is a promising tool for discovering metabolic pathways and biomarkers of the hepatitis B animal model as targets to reveal the effects and mechanism of syringin, which benefits the development of natural products and advances the treatment of diseases. Untargeted metabolomics technology was used to discover the metabolic pathways and biomarkers for revealing the potential biological mechanism of syringin on hepatitis B virus.![]()
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Affiliation(s)
- Yi-chang Jiang
- Third Department of Orthopedics
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Yuan-feng Li
- Third Department of Orthopedics
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Ling Zhou
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Da-peng Zhang
- Third Department of Orthopedics
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
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Sun YC, Han SC, Yao MZ, Liu HB, Wang YM. Exploring the metabolic biomarkers and pathway changes in crucian under carbonate alkalinity exposure using high-throughput metabolomics analysis based on UPLC-ESI-QTOF-MS. RSC Adv 2020; 10:1552-1571. [PMID: 35494719 PMCID: PMC9047290 DOI: 10.1039/c9ra08090b] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 12/06/2019] [Indexed: 12/20/2022] Open
Abstract
The aims of this study is to explore the metabolomic biomarker and pathway changes in crucian under carbonate alkalinity exposures using high-throughput metabolomics analysis based on ultra-performance liquid chromatography-electrospray ionization-quadrupole time of flight-tandem mass spectrometry (UPLC-ESI-QTOF-MS) for carrying out adaptive evolution of fish in environmental exposures and understanding molecular physiological mechanisms of saline–alkali tolerance in fishes. Under 60 day exposure management, the UPLC-ESI-QTOF-MS technology, coupled with a pattern recognition approach and metabolic pathway analysis, was utilized to give insight into the metabolic biomarker and pathway changes. In addition, biochemical parameters in response to carbonate alkalinity in fish were detected for chronic impairment evaluation. A total of twenty-seven endogenous metabolites were identified to distinguish the biochemical changes in fish in clean water under exposure to different concentrations of carbonate alkalinity (CA); these mainly involved amino acid synthesis and metabolism, arachidonic acid metabolism, glyoxylate and dicarboxylate metabolism, pyruvate metabolism and the citrate cycle (TCA cycle). Compared with the control group, CA exposure increased the level of blood ammonia; TP; ALB; Gln in the liver and gills; GS; urea in blood, the liver and gills; CREA; CPS; Glu and LDH; and decreased the level of weight gain rate, oxygen consumption, discharge rate of ammonia, SOD, CAT, ALT, AST and Na+/K+-ATPase. At low concentrations, CA can change the normal metabolism of fish in terms of changing the osmotic pressure regulation capacity, antioxidant capacity, ammonia metabolism and liver and kidney function to adapt to the CA exposure environment. As the concentration of CA increases, various metabolic processes in crucian are inhibited, causing chronic damage to the body. The results show that the metabolomic strategy is a potentially powerful tool for identifying the mechanisms in response to different environmental exposomes and offers precious information about the chronic response of fish to CA. We explore the metabolic biomarker and pathway changes accompanying the adaptive evolution of crucian subjected to carbonate alkalinity exposure, using UPLC-ESI-QTOF-MS, in order to understand the molecular physiological mechanisms of saline–alkali tolerance.![]()
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Affiliation(s)
- Yan-chun Sun
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
| | - Shi-cheng Han
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
| | - Ming-zhu Yao
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
| | - Hong-bai Liu
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
| | - Yu-mei Wang
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences
- Laboratory of Quality & Safety Risk Assessment for Aquatic Products
- Ministry of Agriculture and Rural Areas
- Harbin 150070
- P. R. China
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Xu J, Jiang ZH, Liu XB, Ma Y, Ma W, Ma L. Ultra-performance liquid chromatography-mass spectrometry-based metabolomics reveals Huangqiliuyi decoction attenuates abnormal metabolism as a novel therapeutic opportunity for type 2 diabetes. RSC Adv 2019; 9:39858-39870. [PMID: 35541427 PMCID: PMC9076227 DOI: 10.1039/c9ra09386a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 11/15/2019] [Indexed: 11/21/2022] Open
Abstract
Background: As a typical chronic metabolic disease, type 2 diabetes mellitus causes a heavy health-care burden to society. In this study, we applied the metabolomics strategy to explore the potential molecular mechanism of the Huangqiliuyi decoction (HQLYD) for type-2 diabetes (T2D). Ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) combined with pattern recognition methods was utilized to select specific metabolites closely associated with HQLYD. Biomarker pathway analysis and biological network were utilized to uncover the therapeutic effect and action mechanism related to HQLYD. A total of twenty-five biomarkers were identified in the animal model, in which sixteen biomarkers are associated with HQLYD treatment for T2D. They attenuated the abnormalities of metabolic pathways such as phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, and the citrate cycle. HQLYD also significantly elevated the serum FINS and SOD, GSP-x level in the liver and kidney, and reduced the serum TC, TG, HDL, LDL, urea, Scr, AST, ALT, FBG, IRS, MDA, and CAT level. We found that the therapeutic mechanism of HQLYD against T2D affected amino acid metabolism, glucose metabolism and lipid metabolism. Metabolomics revealed that the Huangqiliuyi decoction attenuates abnormal metabolism as a novel therapeutic opportunity for type 2 diabetes.
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Affiliation(s)
- Jiao Xu
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University Harbin 150040 China
- College of Pharmacy, Heilongjiang University of Chinese Medicine Harbin 150040 China
| | - Zhe-Hui Jiang
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University Harbin 150040 China
| | - Xiu-Bo Liu
- College of Pharmacy, Heilongjiang University of Chinese Medicine Harbin 150040 China
| | - Yan Ma
- School of Business Administration, Harbin University of Commerce Harbin 150040 China
| | - Wei Ma
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University Harbin 150040 China
- College of Pharmacy, Heilongjiang University of Chinese Medicine Harbin 150040 China
| | - Ling Ma
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University Harbin 150040 China
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Zhao FJ, Zhang ZB, Ma N, Teng X, Cai ZC, Liu MX. Untargeted metabolomics using liquid chromatography coupled with mass spectrometry for rapid discovery of metabolite biomarkers to reveal therapeutic effects of Psoralea corylifolia seeds against osteoporosis. RSC Adv 2019; 9:35429-35442. [PMID: 35528068 PMCID: PMC9074708 DOI: 10.1039/c9ra07382e] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 10/23/2019] [Indexed: 11/24/2022] Open
Abstract
Liquid chromatography coupled with mass spectrometry has been used as metabolomics profiling tool to discover and identify the metabolites in metabolic diseases. Osteoporosis (OP) syndrome is a chronic metabolic disease characterized by bone mass reduction and changes in bone microstructure. Psoralea corylifolia Linn. seeds (PCS) have a therapeutic effect on osteoporosis, but their action mechanism and therapeutic target are still unclear. This study aims to explore the metabolic changes of the urine profile in glucocorticoid-induced OP model rats and the therapeutic effect of PCS. High-throughput metabolomics based on the liquid chromatography coupled with mass spectrometry quadrupole time-of-flight mass spectrometry and multivariate data analysis were used to analyze the urine metabolites. The results showed that has an obvious separation between model and control groups. OPLS-DA was used to further analyze and discover substances that contributed to the separation. 42 potential biomarkers and 12 related metabolic pathways were identified in combination with network databases. After the intervention of PCS, 24 biomarkers were significantly regulated, mainly with glycone, serine and threonine metabolism, glutathione metabolism and purine metabolism and other metabolic pathways are related and discovered. This study has proved that PCS has therapeutic effect against OP by regulating that metabolic pathways disturbed in the OP. It provided a basis for the research and future development of new drugs for OP treatment. Liquid chromatography coupled with mass spectrometry has been used as metabolomics profiling tool to discover and identify the metabolites in metabolic diseases.![]()
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Affiliation(s)
- Fu-Jiang Zhao
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Zhao-Bo Zhang
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Ning Ma
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Xiao Teng
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Zhen-Cheng Cai
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
| | - Ming-Xi Liu
- Department of Orthopaedics, Taizhou Central Hospital, Taizhou University Hospital Taizhou 318000 China +86-18767620975 +86-18767620975
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Liang Q, Liu H, Li XL, Yang Y, Hairong P. Rapid lipidomics analysis for sepsis-induced liver injury in rats and insights into lipid metabolic pathways using ultra-performance liquid chromatography/mass spectrometry. RSC Adv 2019; 9:35364-35371. [PMID: 35528052 PMCID: PMC9074727 DOI: 10.1039/c9ra05836b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 10/19/2019] [Indexed: 11/30/2022] Open
Abstract
Lipidomics has been applied in the identification and quantification of molecular lipids within an organism, and to provide insights into mechanisms in clinical medicine. Sepsis is a major systemic inflammatory syndrome and the liver here is a potential target organ for dysfunctional response. However, the study of alterations in global lipid profiles associated with sepsis-induced liver injury is still limited. In this work, we set out to determine alterations of lipidomics profiles in a rat model of sepsis-induced liver injury using an untargeted lipidomics strategy. Liquid chromatography coupled with mass spectrometry in conjunction with multivariate data analysis and pathway analysis were used to acquire a global lipid metabolite profile. Meanwhile, biochemistry index and histopathological examinations of the liver were performed to obtain auxiliary measurements for determining the pathological changes associated with sepsis-induced liver injury. Eleven lipid metabolites and two metabolic pathways were discovered and associated with sepsis-induced liver injury. The results indicated that various biomarkers and pathways may provide evidence for and insight into lipid profile alterations associated with sepsis-induced liver injury, and hence pointed to potential strategic targets for clinical diagnosis and therapy in the future. Lipidomics has been applied in the identification and quantification of molecular lipids within an organism, and to provide insights into mechanisms in clinical medicine.![]()
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Affiliation(s)
- Qun Liang
- ICU Center, First Affiliated Hospital, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China +86-13069717715 +86-13069717715
| | - Han Liu
- Simon Fraser University (SFU) Burnaby British Columbia Canada
| | - Xiu-Li Li
- ICU Center, First Affiliated Hospital, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China +86-13069717715 +86-13069717715
| | - Yang Yang
- ICU Center, First Affiliated Hospital, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China +86-13069717715 +86-13069717715
| | - Panguo Hairong
- ICU Center, First Affiliated Hospital, Heilongjiang University of Chinese Medicine Heping Road 24, Xiangfang District Harbin 150040 China +86-13069717715 +86-13069717715
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HS-SPME-GC-MS approach for the analysis of volatile salivary metabolites and application in a case study for the indirect assessment of gut microbiota. Anal Bioanal Chem 2019; 411:7551-7562. [PMID: 31641822 DOI: 10.1007/s00216-019-02158-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 08/29/2019] [Accepted: 09/18/2019] [Indexed: 02/07/2023]
Abstract
In this work, a straightforward analytical approach based on headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry was developed for the analysis of salivary volatile organic compounds without any prior derivatization step. With a sample volume of 500 μL, optimal conditions were achieved by allowing the sample to equilibrate for 10 min at 50 °C and then extracting the samples for 10 min at the same temperature, using a carboxen/polydimethylsiloxane fibre. The method allowed the simultaneous identification and quantification of 20 compounds in sample headspace, including short-chain fatty acids and their derivatives which are commonly analysed after analyte derivatization. The proof of applicability of the methodology was performed with a case study regarding the analysis of the dynamics of volatile metabolites in saliva of a single subject undergoing 5-day treatment with rifaximin antibiotic. Non-stimulated saliva samples were collected over 3 weeks from a nominally healthy volunteer before, during, and after antibiotic treatment. The variations of some metabolites, known to be produced by the microbiota and by bacteria that are susceptible to antibiotics, suggest that the study of the dynamics of salivary metabolites can be an excellent indirect method for analysing the gut microbiota. This approach is novel from an analytical standpoint, and it encourages further studies combining saliva metabolite profiles and gut microbiota dynamics. Graphical abstract.
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Metabolomics analysis of Xanthoceras sorbifolia husks protection of rats against Alzheimer's disease using liquid chromatography mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2019; 1126-1127:121739. [DOI: 10.1016/j.jchromb.2019.121739] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 07/25/2019] [Accepted: 07/29/2019] [Indexed: 11/29/2022]
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31
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Liang D, Lu H. Salivary biological biomarkers for Alzheimer's disease. Arch Oral Biol 2019; 105:5-12. [PMID: 31203086 DOI: 10.1016/j.archoralbio.2019.06.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 05/31/2019] [Accepted: 06/10/2019] [Indexed: 01/07/2023]
Abstract
Alzheimer's disease (AD) is becoming a threat to aging population all over the world. The pathogenic process of AD is likely initiated many years before clinical onset, thus biomarkers for AD diagnosis are critical for the prevention and therapy for the disease at the early stage in order to reduce the global burden brought by the disease. Saliva is treated as a potential alternative and universal diagnostic fluid that can be collected noninvasively by participants with moderate training and without side effects. Several potential salivary biomarkers, which might prove to be significant diagnostic tools in AD, have been researched. We address here the present and the future of these salivary biological biomarkers for AD.
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Affiliation(s)
- Dan Liang
- Department of Stomatology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Research Institute of Stomatology and Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Hao Lu
- Department of Oral Maxillofacial-Head and Neck Oncology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Research Institute of Stomatology and Shanghai Key Laboratory of Stomatology, Shanghai, China.
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32
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Yang Q, Zhang AH, Miao JH, Sun H, Han Y, Yan GL, Wu FF, Wang XJ. Metabolomics biotechnology, applications, and future trends: a systematic review. RSC Adv 2019; 9:37245-37257. [PMID: 35542267 PMCID: PMC9075731 DOI: 10.1039/c9ra06697g] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 11/03/2019] [Indexed: 12/12/2022] Open
Abstract
Given the highly increased incidence of human diseases, a better understanding of the related mechanisms regarding endogenous metabolism is urgently needed. Mass spectrometry-based metabolomics has been used in a variety of disease research areas. However, the deep research of metabolites remains a difficult and lengthy process. Fortunately, mass spectrometry is considered to be a universal tool with high specificity and sensitivity and is widely used around the world. Mass spectrometry technology has been applied to various basic disciplines, providing technical support for the discovery and identification of endogenous substances in living organisms. The combination of metabolomics and mass spectrometry is of great significance for the discovery and identification of metabolite biomarkers. The mass spectrometry tool could further improve and develop the exploratory research of the life sciences. This mini review discusses metabolomics biotechnology with a focus on recent applications of metabolomics as a powerful tool to elucidate metabolic disturbances and the related mechanisms of diseases. Given the highly increased incidence of human diseases, a better understanding of the related mechanisms regarding endogenous metabolism is urgently needed.![]()
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Affiliation(s)
- Qiang Yang
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Ai-hua Zhang
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Jian-hua Miao
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Hui Sun
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Ying Han
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Guang-li Yan
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Fang-fang Wu
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
| | - Xi-jun Wang
- Department of Pharmaceutical Analysis
- National Engineering Laboratory for the Development of Southwestern Endangered Medicinal Materials
- Guangxi Botanical Garden of Medicinal Plant
- National Chinmedomics Research Center
- Sino-America Chinmedomics Technology Collaboration Center
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Liang Q, Liu H, Li XL, Sun PY, Yang Y, Du C. Retracted Article: A high-throughput metabolomics strategy for discovering the influence of differential metabolites and metabolic pathways of huaxian capsules on sepsis-associated Qi deficiency and blood stasis syndrome. RSC Adv 2019; 9:30868-30878. [PMID: 35529408 PMCID: PMC9072202 DOI: 10.1039/c9ra06679a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Accepted: 09/09/2019] [Indexed: 01/31/2023] Open
Abstract
High-throughput metabolomics can be used to investigate the therapeutic targets and metabolic mechanisms of traditional Chinese medicine formulae.
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Affiliation(s)
- Qun Liang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Han Liu
- Simon Fraser University (SFU)
- Burnaby
- Canada
| | - Xiu-li Li
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Pei-yang Sun
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Yang Yang
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Chunpeng Du
- ICU Center
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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34
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Luo W, Zhang JW, Zhang LJ, Zhang W. High-throughput untargeted metabolomics and chemometrics reveals pharmacological action and molecular mechanism of chuanxiong by ultra performance liquid chromatography combined with quadrupole-time-of-flight-mass spectrometry. RSC Adv 2019; 9:39025-39036. [PMID: 35540684 PMCID: PMC9075942 DOI: 10.1039/c9ra06267j] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 11/17/2019] [Indexed: 01/05/2023] Open
Abstract
Metabolomics methods can be used to explore the effect mechanisms underlying treatments with traditional medicine. Lung cancer (LC) causes the highest morbidity and mortality among tumors disease, and has become a serious public health problem. Chuanxiong (CX) is a dried rhizome of Ligusticum Chuanxiong Hort., often used in traditional Chinese medicine and has been widely used in the treatment for tumors. However, the pharmacological effect of CX on the metabolism process of LC mice is still unclear. This study used high-throughput untargeted metabolomics aims to discover biomarkers and metabolic pathways of LC as a potential target to provide insight into the pharmacological action and effective mechanism of CX against LC. The precise structural identification of the LC biomarker has been established using ultra performance liquid chromatography (UPLC) combined with quadrupole-time-of-flight-mass spectrometry (Q-TOF-MS) technology. UPLC-Q-TOF-MS and chemometrics methods were used to analyze the blood metabolism of LC model mice, and revealed the intervention effect of CX on LC model mice and potential therapeutic targets. The results showed that the metabolic profile clustering among the groups was obvious, and 31 potential biomarkers were finally locked, involving 7 related metabolic pathways. After treatment with CX, we found that 22 kinds of biomarkers were recalled to the main metabolic pathway which are associated with lipid metabolism. This study provides an effective biomarker reference for early clinical diagnosis of LC, and also provides a foundation for the expansion of new drugs for CX treatment of LC. Metabolomics methods can be used to explore the effect mechanisms underlying treatments with traditional medicine.![]()
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Affiliation(s)
- Wen Luo
- Department of Respiratory and Critical Care
- First Affiliated Hospital
- Harbin Medical University
- Harbin 150081
- China
| | - Jia-Wen Zhang
- Department of Respiratory and Critical Care
- First Affiliated Hospital
- Harbin Medical University
- Harbin 150081
- China
| | - Li-Juan Zhang
- Department of Respiratory and Critical Care
- First Affiliated Hospital
- Harbin Medical University
- Harbin 150081
- China
| | - Wei Zhang
- Department of Respiratory and Critical Care
- First Affiliated Hospital
- Harbin Medical University
- Harbin 150081
- China
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35
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Kirwan JA, Brennan L, Broadhurst D, Fiehn O, Cascante M, Dunn WB, Schmidt MA, Velagapudi V. Preanalytical Processing and Biobanking Procedures of Biological Samples for Metabolomics Research: A White Paper, Community Perspective (for "Precision Medicine and Pharmacometabolomics Task Group"-The Metabolomics Society Initiative). Clin Chem 2018; 64:1158-1182. [PMID: 29921725 DOI: 10.1373/clinchem.2018.287045] [Citation(s) in RCA: 93] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 05/01/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND The metabolome of any given biological system contains a diverse range of low molecular weight molecules (metabolites), whose abundances can be affected by the timing and method of sample collection, storage, and handling. Thus, it is necessary to consider the requirements for preanalytical processes and biobanking in metabolomics research. Poor practice can create bias and have deleterious effects on the robustness and reproducibility of acquired data. CONTENT This review presents both current practice and latest evidence on preanalytical processes and biobanking of samples intended for metabolomics measurement of common biofluids and tissues. It highlights areas requiring more validation and research and provides some evidence-based guidelines on best practices. SUMMARY Although many researchers and biobanking personnel are familiar with the necessity of standardizing sample collection procedures at the axiomatic level (e.g., fasting status, time of day, "time to freezer," sample volume), other less obvious factors can also negatively affect the validity of a study, such as vial size, material and batch, centrifuge speeds, storage temperature, time and conditions, and even environmental changes in the collection room. Any biobank or research study should establish and follow a well-defined and validated protocol for the collection of samples for metabolomics research. This protocol should be fully documented in any resulting study and should involve all stakeholders in its design. The use of samples that have been collected using standardized and validated protocols is a prerequisite to enable robust biological interpretation unhindered by unnecessary preanalytical factors that may complicate data analysis and interpretation.
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Affiliation(s)
- Jennifer A Kirwan
- Berlin Institute of Health, Berlin, Germany; .,Max Delbrück Center for Molecular Medicine, Berlin-Buch, Germany
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, UCD, Dublin, Ireland
| | | | - Oliver Fiehn
- NIH West Coast Metabolomics Center, UC Davis, Davis, CA
| | - Marta Cascante
- Department of Biochemistry and Molecular Biomedicine and IBUB, Universitat de Barcelona, Barcelona and Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas (CIBER-EHD), Madrid, Spain
| | - Warwick B Dunn
- School of Biosciences and Phenome Centre Birmingham, University of Birmingham, Birmingham, UK
| | - Michael A Schmidt
- Advanced Pattern Analysis and Countermeasures Group, Research Innovation Center, Colorado State University, Fort Collins, CO.,Sovaris Aerospace, LLC, Boulder, CO
| | - Vidya Velagapudi
- Metabolomics Unit, Institute for Molecular Medicine FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.
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Liang Q, Liu H, Li X, Zhang Y. Retracted Article: High performance liquid chromatography coupled with high resolution mass spectrometry-based characterization of lipidomic responses from rats with kidney injuries. RSC Adv 2018; 8:20250-20258. [PMID: 35541673 PMCID: PMC9080792 DOI: 10.1039/c8ra02805b] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Accepted: 05/22/2018] [Indexed: 11/21/2022] Open
Abstract
Metabolism of lipids is essential for the regulation of a variety of key cellular functions. Recent advances in high performance liquid chromatography coupled with high resolution mass spectrometry have expanded our knowledge of lipid metabolism in diseases. Currently, sepsis is one of the most important public health problems all over the world, which is a serious systemic inflammatory syndrome leading to infection by various agents or trauma and subsequently to a multiple organ dysfunction response. However, little is known about the lipids affected by sepsis and their roles in kidney injuries. In this study, we present targeted and non-targeted lipidomics strategies to discover the lipid metabolism variation in serum in rats with sepsis-induced kidney injuries. Liquid chromatography (LC) coupled with mass spectrometry (MS) and multivariate data analysis were used to obtain the global lipid metabolic profiles. In addition, biochemical parameters and histopathological examination results for the kidney were analyzed to support the pathological changes during sepsis-induced kidney injury. The identification of ten proposed lipids and five relevant pathways will promote a better understanding of lipid profile alterations in kidney injury. The results suggested that lipid metabolism in sepsis-induced kidney injury had changed significantly and contribute by offering potential targets for clinical diagnosis and therapy in the future, which would be worth further studies to broaden the applications of high performance liquid chromatography coupled with high resolution mass spectrometry in the study of lipid metabolism. In this study, we present targeted and non-targeted lipidomics strategies to discover the lipid metabolism variation in serum in rats with sepsis-induced kidney injuries.![]()
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Affiliation(s)
- Qun Liang
- ICU Center
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Han Liu
- Simon Fraser University
- Burnaby
- Canada
| | - Xiuli Li
- ICU Center
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Yang Zhang
- ICU Center
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
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37
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Sun YC, Wu S, Du NN, Song Y, Xu W. High-throughput metabolomics enables metabolite biomarkers and metabolic mechanism discovery of fish in response to alkalinity stress. RSC Adv 2018; 8:14983-14990. [PMID: 35541358 PMCID: PMC9079986 DOI: 10.1039/c8ra01317a] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Accepted: 04/04/2018] [Indexed: 11/21/2022] Open
Abstract
High throughput mass spectrometry (MS)-based metabolomics is a popular platform for small molecule metabolites analyses that are widely used for detecting biomarkers in the research field of environmental assessment. Crucian carp (Carassius carassius, CC) is an economically and ecologically important fish in Asia. It can adapt to extremely high alkalinity, providing us with valuable material to understand the adaptation mechanism for extreme environmental stress. However, the information on the metabolite biomarkers and metabolic mechanisms of CC exposed to alkaline stress is not entirely clear. We applied high-throughput UPLC-Q-TOF/MS combined with chemometrics to identify changes in the metabolome of CC exposed to different concentrations of alkalinity for long term effects. Metabolic differences among alkalinity-treated groups were identified by multivariate statistical analysis. Further, 7 differential metabolites were found after exposure to alkaline conditions. In total, 23 metabolic pathways of these differential metabolites were significantly affected. Alkalinity exposure resulted in widespread change in metabolic profiles in the plasma with disruptions in the phenylalanine metabolism, glycine, serine and threonine metabolism, pyruvate metabolism, tyrosine metabolism, etc. The integrated pathway analysis of the associated metabolites showed that tRNA charging, l-cysteine degradation II, superpathway of methionine degradation, l-serine degradation, tyrosine biosynthesis IV, etc. appear to be the most significantly represented functional categories. Overall, this study demonstrated that metabolic changes in CC played a role in adaptation to the highly alkaline environmental stress. High throughput mass spectrometry (MS)-based metabolomics is a popular platform for small molecule metabolites analyses that are widely used for detecting biomarkers in the research field of environmental assessment.![]()
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Affiliation(s)
- Yan-chun Sun
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin)
- Ministry of Agriculture
- Harbin 150070
- China
| | - Song Wu
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin)
- Ministry of Agriculture
- Harbin 150070
- China
| | - Ning-ning Du
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin)
- Ministry of Agriculture
- Harbin 150070
- China
| | - Yi Song
- Chinese Academy of Fishery Sciences
- Beijing 100141
- P. R. China
| | - Wei Xu
- Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin)
- Ministry of Agriculture
- Harbin 150070
- China
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38
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Hu Y, Zhang X, Shan Y. LC-MS-based plasma metabolomics reveals metabolic variations in ovariectomy-induced osteoporosis in female Wistar rats. RSC Adv 2018; 8:24932-24941. [PMID: 35542168 PMCID: PMC9082330 DOI: 10.1039/c8ra03629b] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 06/24/2018] [Indexed: 12/14/2022] Open
Abstract
Osteoporosis with a reduction in bone mineral density has become one of the most common metabolic bone diseases.
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Affiliation(s)
- Yan Hu
- Clinical Laboratory
- The First People's Hospital of Wujiang
- Wujiang Hospital Affiliated to Nantong University
- Soochow
- China
| | - Xiaojian Zhang
- Department of Orthopedics
- The First People's Hospital of Wujiang
- Wujiang Hospital Affiliated to Nantong University
- Soochow
- China
| | - Yu Shan
- Department of Orthopedics
- The First People's Hospital of Wujiang
- Wujiang Hospital Affiliated to Nantong University
- Soochow
- China
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39
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Li YF, Qiu S, Gao LJ, Zhang AH. Metabolomic estimation of the diagnosis of hepatocellular carcinoma based on ultrahigh performance liquid chromatography coupled with time-of-flight mass spectrometry. RSC Adv 2018; 8:9375-9382. [PMID: 35541871 PMCID: PMC9078651 DOI: 10.1039/c7ra13616a] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2017] [Accepted: 02/23/2018] [Indexed: 01/01/2023] Open
Abstract
Metabolomics has been shown to be an effective tool for biomarker screening and pathway characterization and disease diagnosis. Metabolic characteristics of hepatocellular carcinoma (HCC) may enable the discovery of novel biomarkers for its diagnosis. In this work, metabolomics was used to investigate metabolic alterations of HCC patients. Plasma samples from HCC patients and age-matched healthy controls were investigated using high resolution ultrahigh performance liquid chromatography-mass spectrometry and metabolic differences were analyzed using pattern recognition methods. 23 distinguishable metabolites were identified. The altered metabolic pathways were associated with arginine and proline metabolism, glycine, serine and threonine metabolism, steroid hormone biosynthesis, starch and sucrose metabolism, etc. To demonstrate the utility of plasma biomarkers for the diagnosis of HCC, five metabolites comprising deoxycholic acid 3-glucuronide, 6-hydroxymelatonin glucuronide, 4-methoxycinnamic acid, 11b-hydroxyprogesterone and 4-hydroxyretinoic acid were selected as candidate biomarkers. These metabolites that contributed to the combined model could significantly increase the diagnostic performance of HCC. It has proved to be a powerful tool in the discovery of new biomarkers for disease detection and suggest that panels of metabolites may be valuable to translate our findings to clinically useful diagnostic tests. Metabolomics has been shown to be an effective tool for biomarker screening and pathway characterization and disease diagnosis.![]()
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Affiliation(s)
- Yuan-Feng Li
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Shi Qiu
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Li-Juan Gao
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
| | - Ai-Hua Zhang
- First Affiliated Hospital
- School of Pharmacy
- Heilongjiang University of Chinese Medicine
- Harbin 150040
- China
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40
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González-Domínguez R, Sayago A, Fernández-Recamales Á. Metabolomics in Alzheimer’s disease: The need of complementary analytical platforms for the identification of biomarkers to unravel the underlying pathology. J Chromatogr B Analyt Technol Biomed Life Sci 2017; 1071:75-92. [DOI: 10.1016/j.jchromb.2017.02.008] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2016] [Revised: 01/27/2017] [Accepted: 02/05/2017] [Indexed: 12/14/2022]
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41
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Zhao Y, Lv H, Qiu S, Gao L, Ai H. Plasma metabolic profiling and novel metabolite biomarkers for diagnosing prostate cancer. RSC Adv 2017. [DOI: 10.1039/c7ra04337f] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Prostate cancer (PCa) is the second leading cause of cancer death among men and associated with profound metabolic changes.
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Affiliation(s)
- Yunbo Zhao
- Department of General Surgery
- The First Affiliated Hospital of Jiamusi University
- Jiamusi 154003
- China
| | - Hongmei Lv
- Jiamusi College
- Heilongjiang University of Chinese Medicine
- Jiamusi 154007
- China
| | - Shi Qiu
- College of Pharmacy
- Department of Rheumatology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Lijuan Gao
- College of Pharmacy
- Department of Rheumatology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
| | - Huazhang Ai
- College of Pharmacy
- Department of Rheumatology
- First Affiliated Hospital
- Heilongjiang University of Chinese Medicine
- Harbin 150040
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42
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Wu Q, Lai XL, Zhao HX, Zhu ZY, Hong ZY, Guo ZY, Chai YF. A metabolomics approach for predicting the response to intravenous iron therapy in peritoneal dialysis patients with anemia. RSC Adv 2017. [DOI: 10.1039/c6ra24152b] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Anemia is an almost universal complication of chronic kidney disease (CKD), and nearly all patients with end-stage renal disease (ESRD) and approximately 70% of those with earlier stages of CKD receive treatment for anemia.
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Affiliation(s)
- Qiong Wu
- School of Pharmacy
- Second Military Medical University
- Shanghai
- China 200433
| | - Xue-li Lai
- Department of Nephrology
- Changhai Hospital
- Second Military Medical University
- Shanghai
- China 200433
| | - Hong-xia Zhao
- Analysis and Measurement Center
- School of Pharmacy
- Second Military Medical University
- Shanghai 200433
- China
| | - Zhen-yu Zhu
- Analysis and Measurement Center
- School of Pharmacy
- Second Military Medical University
- Shanghai 200433
- China
| | - Zhan-ying Hong
- School of Pharmacy
- Second Military Medical University
- Shanghai
- China 200433
| | - Zhi-yong Guo
- Department of Nephrology
- Changhai Hospital
- Second Military Medical University
- Shanghai
- China 200433
| | - Yi-feng Chai
- School of Pharmacy
- Second Military Medical University
- Shanghai
- China 200433
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43
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Song Q, Zhang AH, Yan GL, Liu L, Wang XJ. Technological advances in current metabolomics and its application in tradition Chinese medicine. RSC Adv 2017. [DOI: 10.1039/c7ra02056b] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
During the last few years, many metabolomics technologies have been established in biomedical research for analyzing the changes of metabolite levels.
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Affiliation(s)
- Qi Song
- 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
| | - 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
| | - 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
| | - Liang Liu
- State Key Laboratory of Quality Research in Chinese Medicine
- Macau University of Science and Technology
- Macau
- China
| | - Xi-jun Wang
- 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
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