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Joshi N, Garapati K, Ghose V, Kandasamy RK, Pandey A. Recent progress in mass spectrometry-based urinary proteomics. Clin Proteomics 2024; 21:14. [PMID: 38389064 PMCID: PMC10885485 DOI: 10.1186/s12014-024-09462-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 02/12/2024] [Indexed: 02/24/2024] Open
Abstract
Serum or plasma is frequently utilized in biomedical research; however, its application is impeded by the requirement for invasive sample collection. The non-invasive nature of urine collection makes it an attractive alternative for disease characterization and biomarker discovery. Mass spectrometry-based protein profiling of urine has led to the discovery of several disease-associated biomarkers. Proteomic analysis of urine has not only been applied to disorders of the kidney and urinary bladder but also to conditions affecting distant organs because proteins excreted in the urine originate from multiple organs. This review provides a progress update on urinary proteomics carried out over the past decade. Studies summarized in this review have expanded the catalog of proteins detected in the urine in a variety of clinical conditions. The wide range of applications of urine analysis-from characterizing diseases to discovering predictive, diagnostic and prognostic markers-continues to drive investigations of the urinary proteome.
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Affiliation(s)
- Neha Joshi
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Kishore Garapati
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Vivek Ghose
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
| | - Richard K Kandasamy
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Akhilesh Pandey
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
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2
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Moritz L, Schumann A, Pohl M, Köttgen A, Hannibal L, Spiekerkoetter U. A systematic review of metabolomic findings in adult and pediatric renal disease. Clin Biochem 2024; 123:110703. [PMID: 38097032 DOI: 10.1016/j.clinbiochem.2023.110703] [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: 06/16/2023] [Revised: 12/03/2023] [Accepted: 12/07/2023] [Indexed: 12/29/2023]
Abstract
Chronic kidney disease (CKD) affects over 0.5 billion people worldwide across their lifetimes. Despite a growingly ageing world population, an increase in all-age prevalence of kidney disease persists. Adult-onset forms of kidney disease often result from lifestyle-modifiable metabolic illnesses such as type 2 diabetes. Pediatric and adolescent forms of renal disease are primarily caused by morphological abnormalities of the kidney, as well as immunological, infectious and inherited metabolic disorders. Alterations in energy metabolism are observed in CKD of varying causes, albeit the molecular mechanisms underlying pathology are unclear. A systematic indexing of metabolites identified in plasma and urine of patients with kidney disease alongside disease enrichment analysis uncovered inborn errors of metabolism as a framework that links features of adult and pediatric kidney disease. The relationship of genetics and metabolism in kidney disease could be classified into three distinct landscapes: (i) Normal genotypes that develop renal damage because of lifestyle and / or comorbidities; (ii) Heterozygous genetic variants and polymorphisms that result in unique metabotypes that may predispose to the development of kidney disease via synergistic heterozygosity, and (iii) Homozygous genetic variants that cause renal impairment by perturbing metabolism, as found in children with monogenic inborn errors of metabolism. Interest in the identification of early biomarkers of onset and progression of CKD has grown steadily in the last years, though it has not translated into clinical routine yet. This systematic review indexes findings of differential concentration of metabolites and energy pathway dysregulation in kidney disease and appraises their potential use as biomarkers.
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Affiliation(s)
- Lennart Moritz
- Laboratory of Clinical Biochemistry and Metabolism, Department of General Pediatrics, Adolescent Medicine and Neonatology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany; Department of General Pediatrics, Adolescent Medicine and Neonatology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany
| | - Anke Schumann
- Laboratory of Clinical Biochemistry and Metabolism, Department of General Pediatrics, Adolescent Medicine and Neonatology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany; Department of General Pediatrics, Adolescent Medicine and Neonatology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany
| | - Martin Pohl
- Department of General Pediatrics, Adolescent Medicine and Neonatology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany
| | - Luciana Hannibal
- Laboratory of Clinical Biochemistry and Metabolism, Department of General Pediatrics, Adolescent Medicine and Neonatology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany.
| | - Ute Spiekerkoetter
- Department of General Pediatrics, Adolescent Medicine and Neonatology, Faculty of Medicine, Medical Center, University of Freiburg, 79106 Freiburg, Germany.
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Roointan A, Ghaeidamini M, Shafieizadegan S, Hudkins KL, Gholaminejad A. Metabolome panels as potential noninvasive biomarkers for primary glomerulonephritis sub-types: meta-analysis of profiling metabolomics studies. Sci Rep 2023; 13:20325. [PMID: 37990116 PMCID: PMC10663527 DOI: 10.1038/s41598-023-47800-7] [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: 03/13/2023] [Accepted: 11/18/2023] [Indexed: 11/23/2023] Open
Abstract
Primary glomerulonephritis diseases (PGDs) are known as the top causes of chronic kidney disease worldwide. Renal biopsy, an invasive method, is the main approach to diagnose PGDs. Studying the metabolome profiles of kidney diseases is an inclusive approach to identify the disease's underlying pathways and discover novel non-invasive biomarkers. So far, different experiments have explored the metabolome profiles in different PGDs, but the inconsistencies might hinder their clinical translations. The main goal of this meta-analysis study was to achieve consensus panels of dysregulated metabolites in PGD sub-types. The PGDs-related metabolome profiles from urine samples in humans were selected in a comprehensive search. Amanida package in R software was utilized for performing the meta-analysis. Through sub-type analyses, the consensus list of metabolites in each category was obtained. To identify the most affected pathways, functional enrichment analysis was performed. Also, a gene-metabolite network was constructed to identify the key metabolites and their connected proteins. After a vigorous search, among the 11 selected studies (15 metabolite profiles), 270 dysregulated metabolites were recognized in urine of 1154 PGDs and control samples. Through sub-type analyses by Amanida package, the consensus list of metabolites in each category was obtained. Top dysregulated metabolites (vote score of ≥ 4 or ≤ - 4) in PGDs urines were selected as main panel of meta-metabolites including glucose, leucine, choline, betaine, dimethylamine, fumaric acid, citric acid, 3-hydroxyisovaleric acid, pyruvic acid, isobutyric acid, and hippuric acid. The enrichment analyses results revealed the involvement of different biological pathways such as the TCA cycle and amino acid metabolisms in the pathogenesis of PGDs. The constructed metabolite-gene interaction network revealed the high centralities of several metabolites, including pyruvic acid, leucine, and choline. The identified metabolite panels could shed a light on the underlying pathological pathways and be considered as non-invasive biomarkers for the diagnosis of PGD sub-types.
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Affiliation(s)
- Amir Roointan
- Regenerative Medicine Research Center, Faculty of Medicine, Isfahan University of Medical Sciences, Hezar Jarib St., Isfahan, 81746-73461, Iran
| | - Maryam Ghaeidamini
- Regenerative Medicine Research Center, Faculty of Medicine, Isfahan University of Medical Sciences, Hezar Jarib St., Isfahan, 81746-73461, Iran
| | - Saba Shafieizadegan
- Regenerative Medicine Research Center, Faculty of Medicine, Isfahan University of Medical Sciences, Hezar Jarib St., Isfahan, 81746-73461, Iran
| | - Kelly L Hudkins
- Department of Laboratory Medicine and Pathology, University of Washington, School of Medicine, Seattle, USA
| | - Alieh Gholaminejad
- Regenerative Medicine Research Center, Faculty of Medicine, Isfahan University of Medical Sciences, Hezar Jarib St., Isfahan, 81746-73461, Iran.
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França TCL, Muniz-Santos R, Caetano LC, Souza GHMF, Goulart HF, Assis M, Bottino A, Bassini A, Santana AEG, Prado ES, Cameron LC. A sportomics soccer investigation unveils an exercise-induced shift in tyrosine metabolism leading to hawkinsinuria. Front Nutr 2023; 10:1169188. [PMID: 37384105 PMCID: PMC10296188 DOI: 10.3389/fnut.2023.1169188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 05/25/2023] [Indexed: 06/30/2023] Open
Abstract
Tyrosine metabolism has an intense role in the synthesis of neurotransmitters. Our study used an untargeted, sportomics-based analysis of urine samples to investigate changes in metabolism during a soccer match in 30 male junior professional soccer players. Samples were collected before and after the match and analyzed using liquid chromatography and mass spectrometry. Results showed significant changes in tyrosine metabolism. Exercise caused a downregulation of the homogentisate metabolites 4-maleylacetoacetate and succinylacetone to 20% (p = 4.69E-5) and 16% (p = 4.25E-14), respectively. 4-Hydroxyphenylpyruvate, a homogentisate precursor, was found to be upregulated by 26% (p = 7.20E-3). The concentration of hawkinsin and its metabolite 4-hydroxycyclohexyl acetate increased ~six-fold (p = 1.49E-6 and p = 9.81E-6, respectively). Different DOPA metabolism pathways were also affected by exercise. DOPA and dopaquinone increased four-to six-fold (p = 5.62E-14 and p = 4.98E-13, respectively). 3-Methoxytyrosine, indole-5,6-quinone, and melanin were downregulated from 1 to 25%, as were dopamine and tyramine (decreasing to up to 5% or 80%; p= 5.62E-14 and p = 2.47E-2, respectively). Blood TCO2 decreased as well as urinary glutathione and glutamate (40% and 10% respectively) associated with a two-fold increase in pyroglutamate. Our study found unexpected similarities between exercise-induced changes in metabolism and the inherited disorder Hawkinsinuria, suggesting a possible transient condition called exercise-induced hawkinsinuria (EIh). Additionally, our research suggests changes in DOPA pathways may be involved. Our findings suggest that soccer exercise could be used as a model to search for potential countermeasures in Hawkinsinuria and other tyrosine metabolism disorders.
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Affiliation(s)
- Thássia Casado Lima França
- Laboratory for Research in Physical Exercise and Metabolism, Federal University of Alagoas, Maceió, Alagoas, Brazil
| | - Renan Muniz-Santos
- Laboratory of Protein Biochemistry, Federal University of State of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Luiz Carlos Caetano
- Institute of Chemistry and Biotechnology, Federal University of Alagoas, Maceió, Alagoas, Brazil
| | | | - Henrique Fonseca Goulart
- Research Laboratory on Natural Resources, Federal University of Alagoas, Maceió, Alagoas, Brazil
| | - Marcio Assis
- Youth Soccer Teams, Fluminense Football Club, Rio de Janeiro, Brazil
| | - Altamiro Bottino
- Health and Performance Center/Soccer Professional Team, Sociedade Esportiva Palmeiras, São Paulo, Brazil
| | - Adriana Bassini
- Laboratory of Protein Biochemistry, Federal University of State of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Eduardo Seixas Prado
- Laboratory for Research in Physical Exercise and Metabolism, Federal University of Alagoas, Maceió, Alagoas, Brazil
- Laboratory of Protein Biochemistry, Federal University of State of Rio de Janeiro, Rio de Janeiro, Brazil
| | - L. C. Cameron
- Laboratory of Protein Biochemistry, Federal University of State of Rio de Janeiro, Rio de Janeiro, Brazil
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Hu L, Lin L, Huang G, Xie Y, Peng Z, Liu F, Bai G, Li W, Gao L, Wang Y, Li Q, Fu H, Wang J, Sun Q, Mao J. Metabolomic profiles in serum and urine uncover novel biomarkers in children with nephrotic syndrome. Eur J Clin Invest 2023:e13978. [PMID: 36856027 DOI: 10.1111/eci.13978] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/23/2023] [Accepted: 02/25/2023] [Indexed: 03/02/2023]
Abstract
BACKGROUND Nephrotic syndrome is common in children and adults worldwide, and steroid-sensitive nephrotic syndrome (SSNS) accounts for 80%. Aberrant metabolism involvement in early SSNS is sparsely studied, and its pathogenesis remains unclear. Therefore, the goal of this study was to investigate the changes in initiated SSNS patients-related metabolites through serum and urine metabolomics and discover the novel potential metabolites and metabolic pathways. METHODS Serum samples (27 SSNS and 56 controls) and urine samples (17 SSNS and 24 controls) were collected. Meanwhile, the non-targeted analyses were performed by ultra-high-performance liquid chromatography-quadrupole time of flight-mass spectrometry (UHPLC-QTOF-MS) to determine the changes in SSNS. We applied the causal inference model, the DoWhy model, to assess the causal effects of several selected metabolites. An ultraperformance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used to validate hits (D-mannitol, dulcitol, D-sorbitol, XMP, NADPH, NAD, bilirubin, and α-KG-like) in 41 SSNS and 43 controls. In addition, the metabolic pathways were explored. RESULTS Compared to urine, the metabolism analysis of serum samples was more clearly discriminated at SSNS. 194 differential serum metabolites and five metabolic pathways were obtained in the SSNS group. Eight differential metabolites were identified by establishing the diagnostic model for SSNS, and four variables had a positive causal effect. After validation by targeted MS, except XMP, others have similar trends like the untargeted metabolic analysis. CONCLUSION With untargeted metabolomics analysis and further targeted quantitative analysis, we found seven metabolites may be new biomarkers for risk prediction and early diagnosis for SSNS.
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Affiliation(s)
- Lidan Hu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Li Lin
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Guoping Huang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yi Xie
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zhaoyang Peng
- Department of Clinical Laboratory, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, China
| | - Fei Liu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Guannan Bai
- The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Wei Li
- Department of Clinical Laboratory, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang Province, China
| | - Langping Gao
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yan Wang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Qiuyu Li
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Haidong Fu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jingjing Wang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Qingnan Sun
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Jianhua Mao
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
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Evaluation of Afamin Level after Bariatric Surgery in Patient with Obesity. J Clin Med 2023; 12:jcm12030848. [PMID: 36769494 PMCID: PMC9917627 DOI: 10.3390/jcm12030848] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/11/2023] [Accepted: 01/16/2023] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND The aim of this study is to evaluate afamin levels after weight loss in obese patients who underwent laparoscopic sleeve gastrectomy (LSG) and to investigate the relationship between them. In addition, after bariatric surgery, thyroid stimulating hormone (TSH), thyroxine (T4), low-density lipoprotein (LDL), very low-density protein (VLDL), total cholesterol, triglyceride (TG), high-density lipoprotein (HDL), insulin, and hemoglobin A1c (HgbA1c) levels were evaluated. METHODS Preoperative and postoperative 6th month venous blood samples were obtained from 43 patients included in this study. The preoperative and postoperative 6th month body mass index (BMI), TG, total cholesterol, VLDL, HDL, insulin, HgbA1c, TSH, T4, and afamin levels of the patients who underwent bariatric surgery with obesity were compared. RESULTS Serum afamin levels of patients decreased at 6 months postoperatively; however, it was not statistically significant. We observed a statistically significant decrease in patients' BMI, HDL, VLDL, TG, total cholesterol, TSH, T4, HgbA1c, and insulin values (p < 0.05). There were significant increases in HDL and T4 values. The change in LDL value was statistically insignificant. CONCLUSIONS Recent studies have shown that there may be a cause-effect relationship between afamin and obesity. In our study, we observed a decrease in serum afamin levels after weight loss following bariatric surgery. In addition, we think that afamin may be used as a potential marker of metabolic syndrome in the future and may lead to improvements in the medical treatment of obesity.
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Duan Y, Zhang D, Ye Y, Zheng S, Huang P, Zhang F, Mo G, Huang F, Yin Q, Li J, Han L. Integrated Metabolomics and Network Pharmacology to Establish the Action Mechanism of Qingrekasen Granule for Treating Nephrotic Syndrome. Front Pharmacol 2021; 12:765563. [PMID: 34938183 PMCID: PMC8685401 DOI: 10.3389/fphar.2021.765563] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 11/05/2021] [Indexed: 01/09/2023] Open
Abstract
Nephrotic syndrome (NS) is a clinical syndrome resulting from abnormal glomerular permeability, mainly manifesting as edema and proteinuria. Qingrekasen granule (QRKSG), a Chinese Uyghur folk medicine, is a single-flavor preparation made from chicory (Cichorium intybus L.), widely used in treating dysuria and edema. Chicory, the main component in QRKSG, effectively treats edema and protects kidneys. However, the active components in QRKSG and its underlying mechanism for treating NS remain unclear. This study explored the specific mechanism and composition of QRKSG on an NS rat model using integrated metabolomics and network pharmacology. First, metabolomics explored the relevant metabolic pathways impacted by QRKSG in the treatment of NS. Secondly, network pharmacology further explored the possible metabolite targets. Afterward, a comprehensive network was constructed using the results from the network pharmacology and metabolomics analysis. Finally, the interactions between the active components and targets were predicted by molecular docking, and the differential expression levels of the target protein were verified by Western blotting. The metabolomics results showed “D-Glutamine and D-glutamate metabolism” and “Alanine, aspartate, and glutamate metabolism” as the main targeted metabolic pathways for treating NS in rats. AKT1, BCL2L1, CASP3, and MTOR were the core QRKSG targets in the treatment of NS. Molecular docking revealed that these core targets have a strong affinity for flavonoids, terpenoids, and phenolic acids. Moreover, the expression levels of p-PI3K, p-AKT1, p-mTOR, and CASP3 in the QRKSG group significantly decreased, while BCL2L1 increased compared to the model group. These findings established the underlying mechanism of QRKSG, such as promoting autophagy and anti-apoptosis through the expression of AKT1, CASP3, BCL2L1, and mTOR to protect podocytes and maintain renal tubular function.
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Affiliation(s)
- Yanfen Duan
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China
| | - Dongning Zhang
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China
| | - Yan Ye
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China
| | - Sili Zheng
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China
| | - Ping Huang
- College of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan, China
| | - Fengyun Zhang
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China
| | - Guoyan Mo
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.,Key Laboratory of Traditional Chinese Medicine Resource and Prescription, Ministry of Education, Wuhan, China
| | - Fang Huang
- College of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan, China
| | - Qiang Yin
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.,Xinjiang Uygur Pharmaceutical Co., Ltd., Urumqi, China
| | - Jingjing Li
- College of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan, China
| | - Lintao Han
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, China.,Key Laboratory of Traditional Chinese Medicine Resource and Prescription, Ministry of Education, Wuhan, China
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Rispoli MG, Valentinuzzi S, De Luca G, Del Boccio P, Federici L, Di Ioia M, Digiovanni A, Grasso EA, Pozzilli V, Villani A, Chiarelli AM, Onofrj M, Wise RG, Pieragostino D, Tomassini V. Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment. Int J Mol Sci 2021; 22:11112. [PMID: 34681773 PMCID: PMC8541167 DOI: 10.3390/ijms222011112] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/08/2021] [Accepted: 10/12/2021] [Indexed: 12/15/2022] Open
Abstract
Metabolomics-based technologies map in vivo biochemical changes that may be used as early indicators of pathological abnormalities prior to the development of clinical symptoms in neurological conditions. Metabolomics may also reveal biochemical pathways implicated in tissue dysfunction and damage and thus assist in the development of novel targeted therapeutics for neuroinflammation and neurodegeneration. Metabolomics holds promise as a non-invasive, high-throughput and cost-effective tool for early diagnosis, follow-up and monitoring of treatment response in multiple sclerosis (MS), in combination with clinical and imaging measures. In this review, we offer evidence in support of the potential of metabolomics as a biomarker and drug discovery tool in MS. We also use pathway analysis of metabolites that are described as potential biomarkers in the literature of MS biofluids to identify the most promising molecules and upstream regulators, and show novel, still unexplored metabolic pathways, whose investigation may open novel avenues of research.
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Affiliation(s)
- Marianna Gabriella Rispoli
- Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (M.G.R.); (A.D.); (V.P.); (A.V.); (A.M.C.); (M.O.); (R.G.W.)
- Department of Neurology, “SS. Annunziata” University Hospital, 66100 Chieti, Italy; (G.D.L.); (M.D.I.)
| | - Silvia Valentinuzzi
- Analytical Biochemistry and Proteomics Research Unit, Centre for Advanced Studies and Technology (CAST), University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (S.V.); (P.D.B.); (L.F.)
- Department of Pharmacy, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Giovanna De Luca
- Department of Neurology, “SS. Annunziata” University Hospital, 66100 Chieti, Italy; (G.D.L.); (M.D.I.)
| | - Piero Del Boccio
- Analytical Biochemistry and Proteomics Research Unit, Centre for Advanced Studies and Technology (CAST), University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (S.V.); (P.D.B.); (L.F.)
- Department of Pharmacy, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Luca Federici
- Analytical Biochemistry and Proteomics Research Unit, Centre for Advanced Studies and Technology (CAST), University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (S.V.); (P.D.B.); (L.F.)
- Department of Innovative Technologies in Medicine and Dentistry, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
| | - Maria Di Ioia
- Department of Neurology, “SS. Annunziata” University Hospital, 66100 Chieti, Italy; (G.D.L.); (M.D.I.)
| | - Anna Digiovanni
- Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (M.G.R.); (A.D.); (V.P.); (A.V.); (A.M.C.); (M.O.); (R.G.W.)
- Department of Neurology, “SS. Annunziata” University Hospital, 66100 Chieti, Italy; (G.D.L.); (M.D.I.)
| | - Eleonora Agata Grasso
- Department of Innovative Technologies in Medicine and Dentistry, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
| | - Valeria Pozzilli
- Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (M.G.R.); (A.D.); (V.P.); (A.V.); (A.M.C.); (M.O.); (R.G.W.)
- Department of Neurology, “SS. Annunziata” University Hospital, 66100 Chieti, Italy; (G.D.L.); (M.D.I.)
| | - Alessandro Villani
- Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (M.G.R.); (A.D.); (V.P.); (A.V.); (A.M.C.); (M.O.); (R.G.W.)
| | - Antonio Maria Chiarelli
- Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (M.G.R.); (A.D.); (V.P.); (A.V.); (A.M.C.); (M.O.); (R.G.W.)
| | - Marco Onofrj
- Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (M.G.R.); (A.D.); (V.P.); (A.V.); (A.M.C.); (M.O.); (R.G.W.)
- Department of Neurology, “SS. Annunziata” University Hospital, 66100 Chieti, Italy; (G.D.L.); (M.D.I.)
| | - Richard G. Wise
- Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (M.G.R.); (A.D.); (V.P.); (A.V.); (A.M.C.); (M.O.); (R.G.W.)
| | - Damiana Pieragostino
- Analytical Biochemistry and Proteomics Research Unit, Centre for Advanced Studies and Technology (CAST), University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (S.V.); (P.D.B.); (L.F.)
- Department of Paediatrics, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy;
| | - Valentina Tomassini
- Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (M.G.R.); (A.D.); (V.P.); (A.V.); (A.M.C.); (M.O.); (R.G.W.)
- Department of Neurology, “SS. Annunziata” University Hospital, 66100 Chieti, Italy; (G.D.L.); (M.D.I.)
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Cara-Fuentes G, Smoyer WE. Biomarkers in pediatric glomerulonephritis and nephrotic syndrome. Pediatr Nephrol 2021; 36:2659-2673. [PMID: 33389089 DOI: 10.1007/s00467-020-04867-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 10/16/2020] [Accepted: 11/18/2020] [Indexed: 12/21/2022]
Abstract
Glomerular diseases are often chronic or recurring and thus associated with a tremendous physical, psychological, and economic burden. Their etiologies are often unknown, and their pathogeneses are frequently poorly understood. The diagnoses and management of these diseases are therefore based on clinical features, traditional laboratory markers, and, often, kidney pathology. However, the clinical presentation can be highly variable, the kidney pathology may not establish a definitive diagnosis, and the therapeutic responses and resulting clinical outcomes are often unpredictable. To try to address these challenges, significant research efforts have been made over the last decade to identify potential biomarkers that can help clinicians optimize the diagnosis and prognosis at clinical presentation, as well as help predict long-term outcomes. Unfortunately, these efforts have to date only identified a single biomarker for glomerular disease that has been fully validated and developed for widespread clinical use (anti-PLA2R antibodies to diagnose membranous nephropathy). In this manuscript, we review the definitions and development of biomarkers, as well as the current knowledge on both historical and novel candidate biomarkers of glomerular disease, with an emphasis on those associated with idiopathic nephrotic syndrome.
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Affiliation(s)
- Gabriel Cara-Fuentes
- Department of Pediatrics, Division of Pediatric Nephrology, University of Colorado, 12700 E 19th Ave, R2 building, Room 7420D, Aurora, CO, 80045, USA.
| | - William E Smoyer
- Center for Clinical and Translational Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.,Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH, USA
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10
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Araumi A, Osaki T, Ichikawa K, Kudo K, Suzuki N, Watanabe S, Watanabe M, Konta T. Urinary and plasma proteomics to discover biomarkers for diagnosing between diabetic nephropathy and minimal change nephrotic syndrome or membranous nephropathy. Biochem Biophys Rep 2021; 27:101102. [PMID: 34458592 PMCID: PMC8379417 DOI: 10.1016/j.bbrep.2021.101102] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 08/02/2021] [Accepted: 08/10/2021] [Indexed: 12/21/2022] Open
Abstract
The choice of treatment for primary nephrotic syndrome depends on the pathologic type of the disorder. Renal biopsy is necessary for a definitive diagnosis, but it is burdensome for the patients, and can be avoided if tests could be performed using urine or plasma. In this study, we analyzed 100 urinary proteins, 141 plasma proteins, and 57 urine/plasma ratios in cases of diabetic nephropathy (DN; n = 11), minimal change nephrotic syndrome (MCNS; n = 14), and membranous nephropathy (MN; n = 23). We found that the combination of urinary retinol-binding protein 4 and SH3 domain-binding glutamic acid-rich-like protein 3 could distinguish between MCNS and DN, with an area under the curve (AUC) of 0.9740. On the other hand, a selectivity index (SI) based on serotransferrin and immunoglobulin G, which is often used in clinical practice, distinguished them with an AUC of 0.9091. Similarly, the combination of urinary afamin and complement C3 urine/plasma ratio could distinguish between MN and DN with an AUC of 0.9842, while SI distinguished them with an AUC of 0.8538. Evidently, the candidates identified in this study were superior to the SI method. Thus, the aim was to test these biomarkers for accurate diagnosis and to greatly reduce the burden on patients. Renal biopsy is necessary for a definitive diagnosis of primary nephrotic syndrome. Renal biopsy is a heavy burden for patients, and a less burdensome test is desired. We discovered at least 6 diagnostic biomarkers using urinary and plasma proteomics. Combination allowed to judge the disease more accurately than selectivity index.
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Affiliation(s)
- Akira Araumi
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan
| | - Tsukasa Osaki
- Department of Public Health and Hygiene, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Kazunobu Ichikawa
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan
| | - Kosuke Kudo
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan
| | - Natsuko Suzuki
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan
| | - Sayumi Watanabe
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan
| | - Masafumi Watanabe
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan
| | - Tsuneo Konta
- Department of Public Health and Hygiene, Yamagata University Faculty of Medicine, Yamagata, Japan
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11
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Gouvêa AL, Gracindo Silva M, Cabral B, Martinez CG, Lauthartte LC, Rodrigues Bastos W, Kurtenbach E. Progressive resistance exercise prevents muscle strength loss due to muscle atrophy induced by methylmercury systemic intoxication. JCSM CLINICAL REPORTS 2021. [DOI: 10.1002/crt2.34] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- André Luiz Gouvêa
- Instituto de Biofísica Carlos Chagas Filho Universidade Federal do Rio de Janeiro Rio de Janeiro Rio de Janeiro 21941‐902 Brazil
- Instituto de Bioquímica Médica Leopoldo de Meis Universidade Federal do Rio de Janeiro Rio de Janeiro Rio de Janeiro 21941‐902 Brazil
| | - Marcia Gracindo Silva
- Instituto de Biofísica Carlos Chagas Filho Universidade Federal do Rio de Janeiro Rio de Janeiro Rio de Janeiro 21941‐902 Brazil
- Instituto de Bioquímica Médica Leopoldo de Meis Universidade Federal do Rio de Janeiro Rio de Janeiro Rio de Janeiro 21941‐902 Brazil
| | - Bruno Cabral
- Instituto de Biofísica Carlos Chagas Filho Universidade Federal do Rio de Janeiro Rio de Janeiro Rio de Janeiro 21941‐902 Brazil
| | - Camila Guerra Martinez
- Instituto de Biofísica Carlos Chagas Filho Universidade Federal do Rio de Janeiro Rio de Janeiro Rio de Janeiro 21941‐902 Brazil
| | | | - Waderley Rodrigues Bastos
- Laboratório de Biogeoquímica Ambiental Universidade Federal de Rondônia Porto Velho Rondônia 76801‐974 Brazil
| | - Eleonora Kurtenbach
- Instituto de Biofísica Carlos Chagas Filho Universidade Federal do Rio de Janeiro Rio de Janeiro Rio de Janeiro 21941‐902 Brazil
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12
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Guo J, Zhao J, Liu R, Yu J, Zhang M, Wang H, Liu L. Metabolomics analysis of serum in pediatric nephrotic syndrome based on targeted and non-targeted platforms. Metabolomics 2021; 17:38. [PMID: 33788045 DOI: 10.1007/s11306-021-01788-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 03/16/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND AIMS Nephrotic syndrome (NS) is a common pediatric urinary system disease. The aim in this work was to investigate the changes in pediatric NS-related metabolites through serum metabolomics, and explore the new potential metabolites and differential metabolic pathways. METHODS Serum samples from 40 pediatric patients with nephrotic syndrome and 40 healthy controls were collected. The targeted and non-targeted metabolomics analyses were performed to determine the metabolic changes in pediatric NS. Based on multivariate statistical analysis and the regression model, the serum potential metabolites were screened and different metabolic pathways were explored. RESULTS 39 differential metabolites in pediatric NS were obtained based on the metabolomics analysis. 12 differential metabolites (serine, C18: 2 (EFA), C18: 2 (FFA), Isonuatigenin 3- [rhamnosyl- (1- > 2) -glucoside], C18: 4 (EFA), C18: 4 (FFA), caprylic acid, citric acid, methylmalonic acid, caproic acid, canavalioside and uroporphyrin were identified to establish the diagnostic model for pediatric NS. Five metabolic pathways including TCA cycle, amino acid metabolism, bile acid biosynthesis, linoleate metabolism and glyoxylate and dicarboxylate metabolism were the key differential metabolic pathways. CONCLUSION These data elucidated the metabolic alterations associated with pediatric NS and suggested a new diagnosis model for monitoring pediatric NS. The current study provides the useful information to bridge the gaps in our understanding of the metabolic alterations associated with pediatric NS and might facilitate the characterization of pediatric NS patients by performing serum metabolomics.
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Affiliation(s)
- Jing Guo
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150086, People's Republic of China
| | - Jinhui Zhao
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150086, People's Republic of China
| | - Rui Liu
- The Department of Clinical Nutrition, Southern University of Science and Technology Hospital, Shenzhen, People's Republic of China
| | - Jiaying Yu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150086, People's Republic of China
| | - Mingjia Zhang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150086, People's Republic of China
| | - Hanming Wang
- Department of Infectious Diseases, Harbin Children's Hospital, 57 Youyi Road, Daoli District, Harbin, People's Republic of China
| | - Liyan Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150086, People's Republic of China.
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Wang Y, Fan S, Yang M, Shi G, Hu S, Yin D, Zhang Y, Xu F. Evaluation of the mechanism of Danggui-Shaoyao-San in regulating the metabolome of nephrotic syndrome based on urinary metabonomics and bioinformatics approaches. JOURNAL OF ETHNOPHARMACOLOGY 2020; 261:113020. [PMID: 32592886 DOI: 10.1016/j.jep.2020.113020] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 05/22/2020] [Accepted: 05/24/2020] [Indexed: 06/11/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Danggui-Shaoyao-San (DSS), a well-known classic Traditional Chinese medicine (TCM) formula for enhancing Qi (vital energy and spirit), invigorating blood circulation and promoting diuresis, has been widely used in the treatment of nephrotic syndrome (NS). Previously, we have reported some protective effects of DSS against NS, but the in-depth mechanisms remain unclear. AIM OF THE STUDY In this study, an ultra performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UPLC-Q/TOF-MS)-based urinary metabonomics coupled with bioinformatics method was employed to evaluate the mechanisms of DSS in treating NS from the perspective of metabolism. MATERIALS AND METHODS The rat models of NS were established using adriamycin injection. The regulative effects of DSS on NS in rats were first assessed by non-targeted metabonomics, which was based on UPLC-Q/TOF-MS. A series of target prediction models were used to predict the target of components identified in DSS and potential metabolites in NS, combined with the experimental results of metabonomics, to construct the biological network. RESULTS A total of 16 potential metabolites were screened in NS, of which 13 were significantly regulated by DSS. Metabolic pathway analysis showed that the therapeutic effect of DSS on NS was mainly involved in regulating the amino acid metabolism and energy metabolism. The component-target-metabolites-pathway network revealed 29 targets associated with metabolites that were linked to 27 components of DSS. Bioinformatics analysis showed that the potential targets have various molecular functions (especially serine-type endopeptidase inhibitor activity) and biological process (such as positive regulation of peptidyl-tyrosine phosphorylation or autophosphorylation). CONCLUSIONS The regulation of disrupted metabolic pathways and the relative targets may be the mechanism for DSS in the treatment of NS. Notably, metabonomics coupled with bioinformatics would be useful to explore the mechanism of DSS against NS and provide better insights on DSS for clinical use.
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Affiliation(s)
- Yunlai Wang
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, PR China; Key Laboratory of Chinese Medicine Formula of Anhui Province, Hefei, 230012, PR China.
| | - Shengnan Fan
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, PR China; Key Laboratory of Chinese Medicine Formula of Anhui Province, Hefei, 230012, PR China.
| | - Mo Yang
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, PR China; Key Laboratory of Chinese Medicine Formula of Anhui Province, Hefei, 230012, PR China.
| | - Gaoxiang Shi
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, PR China; Key Laboratory of Chinese Medicine Formula of Anhui Province, Hefei, 230012, PR China.
| | - Siyao Hu
- The Chinese University of Hong Kong (Shenzhen), Shenzhen, 518172, PR China.
| | - Dengke Yin
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, PR China; Key Laboratory of Chinese Medicine Formula of Anhui Province, Hefei, 230012, PR China.
| | - Yazhong Zhang
- Anhui Institute for Food and Drug Control, Hefei, 230051, PR China.
| | - Fan Xu
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, PR China; Key Laboratory of Chinese Medicine Formula of Anhui Province, Hefei, 230012, PR China.
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14
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Kansal R, Richardson N, Neeli I, Khawaja S, Chamberlain D, Ghani M, Ghani QUA, Balazs L, Beranova-Giorgianni S, Giorgianni F, Kochenderfer JN, Marion T, Albritton LM, Radic M. Sustained B cell depletion by CD19-targeted CAR T cells is a highly effective treatment for murine lupus. Sci Transl Med 2020; 11:11/482/eaav1648. [PMID: 30842314 DOI: 10.1126/scitranslmed.aav1648] [Citation(s) in RCA: 177] [Impact Index Per Article: 44.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 11/21/2018] [Accepted: 01/30/2019] [Indexed: 12/12/2022]
Abstract
The failure of anti-CD20 antibody (Rituximab) as therapy for lupus may be attributed to the transient and incomplete B cell depletion achieved in clinical trials. Here, using an alternative approach, we report that complete and sustained CD19+ B cell depletion is a highly effective therapy in lupus models. CD8+ T cells expressing CD19-targeted chimeric antigen receptors (CARs) persistently depleted CD19+ B cells, eliminated autoantibody production, reversed disease manifestations in target organs, and extended life spans well beyond normal in the (NZB × NZW) F1 and MRL fas/fas mouse models of lupus. CAR T cells were active for 1 year in vivo and were enriched in the CD44+CD62L+ T cell subset. Adoptively transferred splenic T cells from CAR T cell-treated mice depleted CD19+ B cells and reduced disease in naive autoimmune mice, indicating that disease control was cell-mediated. Sustained B cell depletion with CD19-targeted CAR T cell immunotherapy is a stable and effective strategy to treat murine lupus, and its effectiveness should be explored in clinical trials for lupus.
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Affiliation(s)
- Rita Kansal
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Noah Richardson
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Indira Neeli
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Saleem Khawaja
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Damian Chamberlain
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Marium Ghani
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Qurat-Ul-Ain Ghani
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Louisa Balazs
- Department of Pathology, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Sarka Beranova-Giorgianni
- Department of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Francesco Giorgianni
- Department of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - James N Kochenderfer
- Experimental Transplantation and Immunology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Tony Marion
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Lorraine M Albritton
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Marko Radic
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
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Safe nanoengineering and incorporation of transplant populations in a neurosurgical grade biomaterial, DuraGen Plus TM, for protected cell therapy applications. J Control Release 2020; 321:553-563. [PMID: 32087299 DOI: 10.1016/j.jconrel.2020.02.028] [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: 10/28/2019] [Revised: 02/05/2020] [Accepted: 02/17/2020] [Indexed: 11/22/2022]
Abstract
High transplant cell loss is a major barrier to translation of stem cell therapy for pathologies of the brain and spinal cord. Encapsulated delivery of stem cells in biomaterials for cell therapy is gaining popularity but experimental research has overwhelmingly used laboratory grade materials unsuitable for human clinical use - representing a further barrier to clinical translation. A potential solution is to use neurosurgical grade materials routinely used in clinical protocols which have an established human safety profile. Here, we tested the ability of Duragen Plus™ - a clinical biomaterial used widely in neurosurgical duraplasty procedures, to support the growth and differentiation of neural stem cells- a major transplant population being tested in clinical trials for neurological pathology. Genetic engineering of stem cells yields augmented therapeutic cells, so we further tested the ability of the Duragen Plus™ matrix to support stem cells engineered using magnetofection technology and minicircle DNA vectors- a promising cell engineering approach we previously reported (Journal of Controlled Release, 2016 a &b). The safety of the nano-engineering approach was analysed for the first time using sophisticated data-independent analysis by mass spectrometry-based proteomics. We prove that the Duragen Plus™ matrix is a promising biomaterial for delivery of stem cell transplant populations, with no adverse effects on key regenerative parameters. This advanced cellular construct based on a combinatorial nano-engineering and biomaterial encapsulation approach, could therefore offer key advantages for clinical translation.
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16
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Pang L, Duan N, Xu D, Jiao L, Huang C, Du J, Guo Q, Li H. Urine afamin and afamin-creatinine ratio as biomarkers for kidney injury. Biomark Med 2018; 12:1241-1249. [PMID: 30433819 DOI: 10.2217/bmm-2018-0126] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
AIM The aim of this study was to evaluate the urine afamin (uAFM) and afamin-creatinine ratio (AfCR) levels in patients with glomerulonephritis. PATIENTS & METHODS We determined uAFM and AfCR of 247 healthy volunteers and 129 biopsy-proven glomerulonephritis patients. RESULTS Analytical evaluation study revealed the assay is a reliable and robust test for measuring uAFM. For reference intervals, uAFM and AfCR values were different significantly between males and females. uAFM and AfCR levels were significantly increased in patients with primary membranous nephropathy, IgA nephropathy and minimal change disease compared with healthy volunteers. uAFM and AfCR were positively correlated with urine albumin and albumin-creatinine ratio, respectively. CONCLUSION Our study suggested that uAFM and AfCR may be attractive biomarkers for kidney injury.
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Affiliation(s)
- Lu Pang
- Department of Clinical Laboratory, Peking University First Hospital, 100034, Beijing, PR China
| | - Nan Duan
- Department of Clinical Laboratory, Peking University First Hospital, 100034, Beijing, PR China
| | - Dong Xu
- Department of Clinical Laboratory, Peking University First Hospital, 100034, Beijing, PR China
| | - Lili Jiao
- Department of Clinical Laboratory, Peking University First Hospital, 100034, Beijing, PR China
| | - Chenwei Huang
- Department of Clinical Laboratory, Peking University First Hospital, 100034, Beijing, PR China
| | - Jialin Du
- Department of Clinical Laboratory, Peking University First Hospital, 100034, Beijing, PR China
| | - Qi Guo
- Department of Clinical Laboratory, Peking University First Hospital, 100034, Beijing, PR China
| | - Haixia Li
- Department of Clinical Laboratory, Peking University First Hospital, 100034, Beijing, PR China
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Øvrehus MA, Bruheim P, Ju W, Zelnick LR, Langlo KA, Sharma K, de Boer IH, Hallan SI. Gene Expression Studies and Targeted Metabolomics Reveal Disturbed Serine, Methionine, and Tyrosine Metabolism in Early Hypertensive Nephrosclerosis. Kidney Int Rep 2018; 4:321-333. [PMID: 30775629 PMCID: PMC6365407 DOI: 10.1016/j.ekir.2018.10.007] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 10/04/2018] [Accepted: 10/08/2018] [Indexed: 02/07/2023] Open
Abstract
Introduction Hypertensive nephrosclerosis is among the leading causes of end-stage renal disease, but its pathophysiology is poorly understood. We wanted to explore early metabolic changes using gene expression and targeted metabolomics analysis. Methods We analyzed gene expression in kidneys biopsied from 20 patients with nephrosclerosis and 31 healthy controls with an Affymetrix array. Thirty-one amino acids were measured by liquid chromatography coupled with mass spectrometry (LC-MS) in urine samples from 62 patients with clinical hypertensive nephrosclerosis and 33 age- and sex-matched healthy controls, and major findings were confirmed in an independent cohort of 45 cases and 15 controls. Results Amino acid catabolism and synthesis were strongly underexpressed in hypertensive nephrosclerosis (13- and 7-fold, respectively), and these patients also showed gene expression patterns indicating decreased fatty acid oxidation (12-fold) and increased interferon gamma (10-fold) and cellular defense response (8-fold). Metabolomics analysis revealed significant distribution differences in 11 amino acids in hypertensive nephrosclerosis, among them tyrosine, phenylalanine, dopamine, homocysteine, and serine, with 30% to 70% lower urine excretion. These findings were replicated in the independent cohort. Integrated gene-metabolite pathway analysis showed perturbations of renal dopamine biosynthesis. There were also significant differences in homocysteine/methionine homeostasis and the serine pathway, which have strong influence on 1-carbon metabolism. Several of these disturbances could be interconnected through reduced regeneration of tetrahydrofolate and tetrahydrobiopterin. Conclusion Early hypertensive nephrosclerosis showed perturbations of intrarenal biosynthesis of dopamine, which regulates natriuresis and blood pressure. There were also disturbances in serine/glycine and methionine/homocysteine metabolism, which may contribute to endothelial dysfunction, atherosclerosis, and renal fibrosis.
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Affiliation(s)
- Marius A Øvrehus
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Nephrology, St Olav Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Per Bruheim
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Wenjun Ju
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Leila R Zelnick
- Kidney Research Institute, University of Washington, Seattle, Washington, USA.,Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Knut A Langlo
- Department of Nephrology, St Olav Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kumar Sharma
- University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Ian H de Boer
- Kidney Research Institute, University of Washington, Seattle, Washington, USA.,Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Stein I Hallan
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Nephrology, St Olav Hospital, Trondheim University Hospital, Trondheim, Norway
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18
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Pang L, Li Q, Li Y, Liu Y, Duan N, Li H. Urine proteomics of primary membranous nephropathy using nanoscale liquid chromatography tandem mass spectrometry analysis. Clin Proteomics 2018; 15:5. [PMID: 29445323 PMCID: PMC5801694 DOI: 10.1186/s12014-018-9183-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2017] [Accepted: 01/30/2018] [Indexed: 12/20/2022] Open
Abstract
Background Primary membranous nephropathy (PMN) is an important cause of nephrotic syndrome in adults. Urine proteome may provide important clues of pathophysiological mechanisms in PMN. In the current study, we analyzed and compared the proteome of urine from patients with PMN and normal controls. Methods We performed two technical replicates (TMT1 and TMT2) to analyze and compare the urine proteome from patients with PMN and normal controls by tandem mass tag (TMT) technology coupled with nanoscale liquid chromatography tandem mass spectrometry analysis (LC–MS/MS). Gene ontology (GO) enrichment analysis was performed to analyse general characterization of the proteins. The proteins were also matched against the database of Kyoto Encyclopedia of Genes and Genomes (KEGG). For validation, Western blot was used to analyze the selected proteins. Results A total of 509 proteins and 411 proteins were identified in TMT1 and TMT2, respectively. 249 proteins were both identified in two technical replicates. GO analysis and KEGG analysis revealed immunization and coagulation were predominantly involved. Among the differential protein, the overexcretion of alpha-1-antitrypsin (A1AT) and afamin (AFM) were validated by Western blot analysis. Conclusions Our data showed the important role of immunologic mechanism in the development of PMN, and the value of urinary A1AT and AFM in biomarker discovery of patients with PMN. The discovery of the overexcretion of A1AT and AFM in the urine can help to further elucidate pathogenetic mechanisms involved in PMN. Electronic supplementary material The online version of this article (10.1186/s12014-018-9183-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lu Pang
- 1Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Qianqian Li
- 2Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Yan Li
- 2Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Yi Liu
- 1Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Nan Duan
- 1Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Haixia Li
- 1Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
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19
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Dias Bastos PA, Vlahou A, Leite-Moreira A, Santos LL, Ferreira R, Vitorino R. Deciphering the disease-related molecular networks using urine proteomics. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.07.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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20
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Gagnebin Y, Tonoli D, Lescuyer P, Ponte B, de Seigneux S, Martin PY, Schappler J, Boccard J, Rudaz S. Metabolomic analysis of urine samples by UHPLC-QTOF-MS: Impact of normalization strategies. Anal Chim Acta 2017; 955:27-35. [DOI: 10.1016/j.aca.2016.12.029] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 12/08/2016] [Accepted: 12/20/2016] [Indexed: 10/20/2022]
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21
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Karlsson NG, Jin C, Rojas-Macias MA, Adamczyk B. Next Generation O-Linked Glycomics. TRENDS GLYCOSCI GLYC 2017. [DOI: 10.4052/tigg.1602.1e] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Niclas G. Karlsson
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
| | - Chunsheng Jin
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
| | - Miguel A. Rojas-Macias
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
| | - Barbara Adamczyk
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg
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22
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Faa G, Messana I, Fanos V, Cabras T, Manconi B, Vento G, Iavarone F, Martelli C, Desiderio C, Castagnola M. Proteomics applied to pediatric medicine: opportunities and challenges. Expert Rev Proteomics 2016; 13:883-94. [DOI: 10.1080/14789450.2016.1221764] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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23
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Lee JE, Lee YH, Kim SY, Kim YG, Moon JY, Jeong KH, Lee TW, Ihm CG, Kim S, Kim KH, Kim DK, Kim YS, Kim CD, Park CW, Lee DY, Lee SH. Systematic biomarker discovery and coordinative validation for different primary nephrotic syndromes using gas chromatography-mass spectrometry. J Chromatogr A 2016; 1453:105-15. [PMID: 27247212 DOI: 10.1016/j.chroma.2016.05.058] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Revised: 05/04/2016] [Accepted: 05/15/2016] [Indexed: 11/24/2022]
Abstract
The goal of this study is to identify systematic biomarker panel for primary nephrotic syndromes from urine samples by applying a non-target metabolite profiling, and to validate their utility in independent sampling and analysis by multiplex statistical approaches. Nephrotic syndrome (NS) is a nonspecific kidney disorder, which is mostly represented by minimal change disease (MCD), focal segmental glomerulosclerosis (FSGS), and membranous glomerulonephritis (MGN). Since urine metabolites may mirror disease-specific functional perturbations in kidney injury, we examined urine samples for distinctive metabolic changes to identify biomarkers for clinical applications. We developed unbiased multi-component covarianced models from a discovery set with 48 samples (12 healthy controls, 12 MCD, 12 FSGS, and 12 MGN). To extensively validate their diagnostic potential, new batch from 54 patients with primary NS were independently examined a year after. In the independent validation set, the model including citric acid, pyruvic acid, fructose, ethanolamine, and cysteine effectively discriminated each NS using receiver operating characteristic (ROC) analysis except MCD-MGN comparison; nonetheless an additional metabolite multi-composite greatly improved the discrimination power between MCD and MGN. Finally, we proposed the re-constructed metabolic network distinctively dysregulated by the different NSs that may deepen comprehensive understanding of the disease mechanistic, and help the enhanced identification of NS and therapeutic plans for future.
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Affiliation(s)
- Jung-Eun Lee
- The Dept. of Bio and Fermentation Convergence Technology, BK21 PLUS project, Kookmin University, Seoul, Republic of Korea; Division of Nephrology, Department of Internal Medicine, College of medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Yu Ho Lee
- Division of Nephrology, Department of Internal Medicine, College of medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Se-Yun Kim
- Division of Nephrology, Department of Internal Medicine, College of medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Yang Gyun Kim
- Division of Nephrology, Department of Internal Medicine, College of medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Ju-Young Moon
- Division of Nephrology, Department of Internal Medicine, College of medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Kyung-Hwan Jeong
- Division of Nephrology, Department of Internal Medicine, College of medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Tae Won Lee
- Division of Nephrology, Department of Internal Medicine, College of medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Chun-Gyoo Ihm
- Division of Nephrology, Department of Internal Medicine, College of medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Sooah Kim
- The Dept. of Biotechnology, Graduate School, Korea University, Seoul, Republic of Korea
| | - Kyoung Heon Kim
- The Dept. of Biotechnology, Graduate School, Korea University, Seoul, Republic of Korea
| | - Dong Ki Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yon Su Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chan-Duck Kim
- Division of Nephrology, Department of Internal Medicine, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Cheol Whee Park
- Division of Nephrology, Department of Internal Medicine, College of Medicine, The St. Mary's Hospital of Catholic University of Korea, Seoul, Republic of Korea
| | - Do Yup Lee
- The Dept. of Bio and Fermentation Convergence Technology, BK21 PLUS project, Kookmin University, Seoul, Republic of Korea.
| | - Sang-Ho Lee
- Division of Nephrology, Department of Internal Medicine, College of medicine, Kyung Hee University, Seoul, Republic of Korea.
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24
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Del Boccio P, Rossi C, di Ioia M, Cicalini I, Sacchetta P, Pieragostino D. Integration of metabolomics and proteomics in multiple sclerosis: From biomarkers discovery to personalized medicine. Proteomics Clin Appl 2016; 10:470-84. [DOI: 10.1002/prca.201500083] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 11/17/2015] [Accepted: 12/30/2015] [Indexed: 01/04/2023]
Affiliation(s)
- Piero Del Boccio
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Claudia Rossi
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Maria di Ioia
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
- Department of Neurosciences and Imaging; University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Ilaria Cicalini
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Paolo Sacchetta
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Damiana Pieragostino
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
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25
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L'Imperio V, Smith A, Chinello C, Pagni F, Magni F. Proteomics and glomerulonephritis: A complementary approach in renal pathology for the identification of chronic kidney disease related markers. Proteomics Clin Appl 2016; 10:371-83. [DOI: 10.1002/prca.201500075] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Revised: 10/16/2015] [Accepted: 12/02/2015] [Indexed: 12/25/2022]
Affiliation(s)
| | - Andrew Smith
- Department of Health Sciences; University Milan Bicocca; Monza Italy
| | - Clizia Chinello
- Department of Health Sciences; University Milan Bicocca; Monza Italy
| | - Fabio Pagni
- Department of Pathology; University Milan Bicocca; Monza Italy
| | - Fulvio Magni
- Department of Health Sciences; University Milan Bicocca; Monza Italy
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26
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Barrios C, Spector TD, Menni C. Blood, urine and faecal metabolite profiles in the study of adult renal disease. Arch Biochem Biophys 2015; 589:81-92. [PMID: 26476344 DOI: 10.1016/j.abb.2015.10.006] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Revised: 10/08/2015] [Accepted: 10/09/2015] [Indexed: 01/04/2023]
Abstract
Chronic kidney disease (CKD) is a major public health burden and to date traditional biomarkers of renal function (such as serum creatinine and cystatin C) are unable to identify at-risk individuals before the disease process is well under way. To help preventive strategies and maximize the potential for effective interventions, it is important to characterise the molecular changes that take place in the development of renal damage. Metabolomics is a promising tool to identify markers of renal disease since the kidneys are involved in the handling of major biochemical classes of metabolites. These metabolite levels capture a snap-shot of the metabolic profile of the individual, allowing for the potential identification of early biomarkers, and the monitoring of real-time kidney function. In this review, we describe the current status of the identification of blood/urine/faecal metabolic biomarkers in different entities of kidney diseases including: acute kidney injury, chronic kidney disease, renal transplant, diabetic nephropathy and other disorders.
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Affiliation(s)
- Clara Barrios
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Nephrology, Hospital del Mar. Institut Mar d'Investigacions Mediques, Barcelona, Spain
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
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27
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Zhang T, Watson DG. A short review of applications of liquid chromatography mass spectrometry based metabolomics techniques to the analysis of human urine. Analyst 2015; 140:2907-15. [DOI: 10.1039/c4an02294g] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Mass spectrometry based metabolomics profiling.
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Affiliation(s)
- Tong Zhang
- Strathclyde Institute of Pharmacy and Biomedical Sciences
- University of Strathclyde
- Glasgow
- UK
| | - David G. Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences
- University of Strathclyde
- Glasgow
- UK
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28
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Abstract
The effectiveness of treatment of renal diseases is limited because the lack of diagnostic, prognostic and therapeutic markers. Despite the more than a decade of intensive investigation of urinary biomarkers, no new clinical biomarkers were approved. This is in part because the early expectations toward proteomics in biomarkers discovery were significantly higher than the capability of technology at the time. However, during the last decade, proteomic technology has made dramatic progress in both the hardware and software methods. In this review we are discussing modern quantitative methods of mass-spectrometry and providing several examples of their applications for discovery and validation of renal disease biomarkers. We are optimistic about future prospects for the development of novel of specific clinical urinary biomarkers.
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Affiliation(s)
- Marina Jerebtsova
- Department of Microbiology, Howard University College of Medicine, 520 W Street N.W., Washington, DC 20059, USA
| | - Sergei Nekhai
- Department of Medicine, Howard University College of Medicine, 520 W Street N.W., Washington, DC 20059, USA ; Center for Sickle Cell Disease, Howard University College of Medicine, 520 W Street N.W., Washington, DC 20059, USA
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