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Kuypers DRJ, Kamphorst JJ, de Loor H, O'Day EM. Perspective: metabolomics has the potential to change the landscape of kidney transplantation diagnostics. Biomark Med 2024; 18:787-794. [PMID: 39234983 PMCID: PMC11457662 DOI: 10.1080/17520363.2024.2394383] [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: 05/17/2024] [Accepted: 08/06/2024] [Indexed: 09/06/2024] Open
Abstract
Kidney transplantation is the most efficient renal replacement therapy. Current diagnostics for monitoring graft health are either invasive or lack precision. Metabolomics is an emerging discipline focused on the analysis of the small molecules involved in metabolism. Given the kidneys' central role in metabolic homeostasis and previous observations of altered metabolites correlating with restricted kidney graft function, metabolomics is highly promising for the discovery of novel biomarkers and the development of novel diagnostics. In this perspective, we summarize the known metabolic roles for the kidney, discuss biomarkers of graft health and immune status emerging from metabolomics research, and provide our perspective on how these and future findings can be integrated in clinical practice to enable precision diagnostics.
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Affiliation(s)
- Dirk R J Kuypers
- Department of Nephrology & Renal Transplantation, University Hospitals Leuven, Belgium
- Department of Microbiology, Immunology & Transplantation, Nephrology & Renal Transplantation Research Group, KU Leuven, Belgium
| | | | - Henriette de Loor
- Department of Nephrology & Renal Transplantation, University Hospitals Leuven, Belgium
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Ragi N, Sharma K. Deliverables from Metabolomics in Kidney Disease: Adenine, New Insights, and Implication for Clinical Decision-Making. Am J Nephrol 2024; 55:421-438. [PMID: 38432206 DOI: 10.1159/000538051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 02/08/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Chronic kidney disease (CKD) presents a persistent global health challenge, characterized by complex pathophysiology and diverse progression patterns. Metabolomics has emerged as a valuable tool in unraveling the intricate molecular mechanisms driving CKD progression. SUMMARY This comprehensive review provides a summary of recent progress in the field of metabolomics in kidney disease with a focus on spatial metabolomics to shed important insights to enhancing our understanding of CKD progression, emphasizing its transformative potential in early disease detection, refined risk assessment, and the development of targeted interventions to improve patient outcomes. KEY MESSAGE Through an extensive analysis of metabolic pathways and small-molecule fluctuations, bulk and spatial metabolomics offers unique insights spanning the entire spectrum of CKD, from early stages to advanced disease states. Recent advances in metabolomics technology have enabled spatial identification of biomarkers to provide breakthrough discoveries in predicting CKD trajectory and enabling personalized risk assessment. Furthermore, metabolomics can help decipher the complex molecular intricacies associated with kidney diseases for exciting novel therapeutic approaches. A recent example is the identification of adenine as a key marker of kidney fibrosis for diabetic kidney disease using both untargeted and targeted bulk and spatial metabolomics. The metabolomics studies were critical to identify a new biomarker for kidney failure and to guide new therapeutics for diabetic kidney disease. Similar approaches are being pursued for acute kidney injury and other kidney diseases to enhance precision medicine decision-making.
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Affiliation(s)
- Nagarjunachary Ragi
- Center for Precision Medicine, The University of Texas Health San Antonio, San Antonio, Texas, USA
- Division of Nephrology, Department of Medicine, The University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Kumar Sharma
- Center for Precision Medicine, The University of Texas Health San Antonio, San Antonio, Texas, USA
- Division of Nephrology, Department of Medicine, The University of Texas Health San Antonio, San Antonio, Texas, USA
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Mizuno H, Murakami N. Multi-omics Approach in Kidney Transplant: Lessons Learned from COVID-19 Pandemic. CURRENT TRANSPLANTATION REPORTS 2023; 10:173-187. [PMID: 38152593 PMCID: PMC10751044 DOI: 10.1007/s40472-023-00410-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2023] [Indexed: 12/29/2023]
Abstract
Purpose of Review Multi-omics approach has advanced our knowledge on transplantation-associated clinical outcomes, such as acute rejection and infection, and emerging omics data are becoming available in kidney transplant and COVID-19. Herein, we discuss updated findings of multi-omics data on kidney transplant outcomes, as well as COVID-19 and kidney transplant. Recent Findings Transcriptomics, proteomics, and metabolomics revealed various inflammation pathways associated with kidney transplantation-related outcomes and COVID-19. Although multi-omics data on kidney transplant and COVID-19 is limited, activation of innate immune pathways and suppression of adaptive immune pathways were observed in the active phase of COVID-19 in kidney transplant recipients. Summary Multi-omics analysis has led us to a deeper exploration and a more comprehensive understanding of key biological pathways in complex clinical settings, such as kidney transplantation and COVID-19. Future multi-omics analysis leveraging multi-center biobank collaborative will further advance our knowledge on the precise immunological responses to allograft and emerging pathogens.
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Affiliation(s)
- Hiroki Mizuno
- Transplant Research Center, Division of Renal Medicine, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Ave. EBRC 305, Boston, MA 02115, USA
- Dvision of Nephrology and Rheumatology, Toranomon Hospital, Tokyo, Japan
| | - Naoka Murakami
- Transplant Research Center, Division of Renal Medicine, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Ave. EBRC 305, Boston, MA 02115, USA
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Hui Y, Zhao J, Yu Z, Wang Y, Qin Y, Zhang Y, Xing Y, Han M, Wang A, Guo S, Yuan J, Zhao Y, Ning X, Sun S. The Role of Tryptophan Metabolism in the Occurrence and Progression of Acute and Chronic Kidney Diseases. Mol Nutr Food Res 2023; 67:e2300218. [PMID: 37691068 DOI: 10.1002/mnfr.202300218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/10/2023] [Indexed: 09/12/2023]
Abstract
Acute kidney injury (AKI) and chronic kidney disease (CKD) are common kidney diseases in clinics with high morbidity and mortality, but their pathogenesis is intricate. Tryptophan (Trp) is a fundamental amino acid for humans, and its metabolism produces various bioactive substances involved in the pathophysiology of AKI and CKD. Metabolomic studies manifest that Trp metabolites like kynurenine (KYN), 5-hydroxyindoleacetic acid (5-HIAA), and indoxyl sulfate (IS) increase in AKI or CKD and act as biomarkers that facilitate the early identification of diseases. Meanwhile, KYN and IS act as ligands to exacerbate kidney damage by activating aryl hydrocarbon receptor (AhR) signal transduction. The reduction of renal function can cause the accumulation of Trp metabolites which in turn accelerate the progression of AKI or CKD. Besides, gut dysbiosis induces the expansion of Enterobacteriaceae family to produce excessive IS, which cannot be excreted due to the deterioration of renal function. The application of Trp metabolism as a target in AKI and CKD will also be elaborated. Thus, this study aims to elucidate Trp metabolism in the development of AKI and CKD, and explores the relative treatment strategies by targeting Trp from the perspective of metabolomics to provide a reference for their diagnosis and prevention.
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Affiliation(s)
- Yueqing Hui
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Jin Zhao
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Zixian Yu
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yuwei Wang
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- Department of Postgraduate Student, Xi'an Medical University, Xi'an, Shaanxi, 710021, China
| | - Yunlong Qin
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- Department of Nephrology, 980th Hospital of PLA Joint Logistical Support Force (Bethune International Peace Hospital), Shijiazhuang, Hebei, 050082, China
| | - Yumeng Zhang
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- Department of Postgraduate Student, Xi'an Medical University, Xi'an, Shaanxi, 710021, China
| | - Yan Xing
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Mei Han
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- Department of Postgraduate Student, Xi'an Medical University, Xi'an, Shaanxi, 710021, China
| | - Anjing Wang
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- Department of Postgraduate Student, Xi'an Medical University, Xi'an, Shaanxi, 710021, China
| | - Shuxian Guo
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Jinguo Yuan
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yueru Zhao
- School of Clinical Medicine, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
| | - Xiaoxuan Ning
- Department of Geriatric, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Shiren Sun
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
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Patschan D, Patschan S, Matyukhin I, Ritter O, Dammermann W. Metabolomics in Acute Kidney Injury: The Clinical Perspective. J Clin Med 2023; 12:4083. [PMID: 37373777 DOI: 10.3390/jcm12124083] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/24/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Acute kidney injury (AKI) affects increasing numbers of hospitalized patients worldwide. The diagnosis of AKI is made too late in most individuals since it is still based on dynamic changes in serum creatinine. In recent years, new AKI biomarkers have been identified; however, none of these can reliably replace serum creatinine yet. Metabolomic profiling (metabolomics) allows the concomitant detection and quantification of large numbers of metabolites from biological specimens. The current article aims to summarize clinical studies on metabolomics in AKI diagnosis and risk prediction. METHODS The following databases were searched for references: PubMed, Web of Science, Cochrane Library, and Scopus, and the period lasted from 1940 until 2022. The following terms were utilized: 'AKI' OR 'Acute Kidney Injury' OR 'Acute Renal Failure' AND 'metabolomics' OR 'metabolic profiling' OR 'omics' AND 'risk' OR 'death' OR 'survival' OR 'dialysis' OR 'KRT' OR 'kidney replacement therapy' OR 'RRT' OR 'renal replacement therapy' OR 'recovery of kidney function' OR 'renal recovery' OR 'kidney recovery' OR 'outcome'. Studies on AKI risk prediction were only selected if metabolomic profiling allowed differentiation between subjects that fulfilled a risk category (death or KRT or recovery of kidney function) and those who did not. Experimental (animal-based) studies were not included. RESULTS In total, eight studies were identified. Six studies were related to the diagnosis of AKI; two studies were performed on metabolic analysis in AKI risk (death) prediction. Metabolomics studies in AKI already helped to identify new biomarkers for AKI diagnosis. The data on metabolomics for AKI risk prediction (death, KRT, recovery of kidney function), however, are very limited. CONCLUSIONS Both the heterogenous etiology and the high degree of pathogenetic complexity of AKI most likely require integrated approaches such as metabolomics and/or additional types of '-omics' studies to improve clinical outcomes in AKI.
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Affiliation(s)
- Daniel Patschan
- Department of Medicine 1, Cardiology, Angiology, Nephrology, Brandenburg Medical School Theodor Fontane, University Hospital Brandenburg, 14770 Brandenburg, Germany
- Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, 15562 Rüdersdorf bei Berlin, Germany
| | - Susann Patschan
- Department of Medicine 1, Cardiology, Angiology, Nephrology, Brandenburg Medical School Theodor Fontane, University Hospital Brandenburg, 14770 Brandenburg, Germany
- Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, 15562 Rüdersdorf bei Berlin, Germany
| | - Igor Matyukhin
- Department of Medicine 1, Cardiology, Angiology, Nephrology, Brandenburg Medical School Theodor Fontane, University Hospital Brandenburg, 14770 Brandenburg, Germany
- Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, 15562 Rüdersdorf bei Berlin, Germany
| | - Oliver Ritter
- Department of Medicine 1, Cardiology, Angiology, Nephrology, Brandenburg Medical School Theodor Fontane, University Hospital Brandenburg, 14770 Brandenburg, Germany
- Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, 15562 Rüdersdorf bei Berlin, Germany
| | - Werner Dammermann
- Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, 15562 Rüdersdorf bei Berlin, Germany
- Department of Medicine 2, Gastroenterology, Diabetes, Endocrinology, Brandenburg Medical School Theodor Fontane, University Hospital Brandenburg, 14770 Brandenburg, Germany
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Gao Z, Zhou W, Lv X, Wang X. Metabolomics as a Critical Tool for Studying Clinical Surgery. Crit Rev Anal Chem 2023; 54:2245-2258. [PMID: 36592066 DOI: 10.1080/10408347.2022.2162810] [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] [Indexed: 01/03/2023]
Abstract
Metabolomics enables the analysis of metabolites within an organism, which offers the closest direct measurement of the physiological activity of the organism, and has advanced efforts to characterize metabolic states, identify biomarkers, and investigate metabolic pathways. A high degree of innovation in analytical techniques has promoted the application of metabolomics, especially in the study of clinical surgery. Metabolomics can be employed as a clinical testing method to maximize therapeutic outcomes, and has been applied in rapid diagnosis of diseases, timely postoperative monitoring, prognostic assessment, and personalized medicine. This review focuses on the use of mass spectrometry and nuclear magnetic resonance-based metabolomics in clinical surgery, including identifying metabolic changes before and after surgery, finding disease-associated biomarkers, and exploring the potential of personalized therapy. Challenges and opportunities of metabolomics in organ transplantation are also discussed, with a particular emphasis on metabolomics in donor organ evaluation and protection, prognostic outcome prediction, as well as postoperative adverse reaction monitoring. In the end, current limitations of metabolomics in clinical surgery and future research directions are presented.
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Affiliation(s)
- Zhenye Gao
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai, P. R. China
| | - Wenxiu Zhou
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai, P. R. China
| | - Xiaoyuan Lv
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai, P. R. China
| | - Xin Wang
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai, P. R. China
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Xie D, Guo J, Dang R, Li Y, Si Q, Han W, Wang S, Wei N, Meng J, Wu L. The effect of tacrolimus-induced toxicity on metabolic profiling in target tissues of mice. BMC Pharmacol Toxicol 2022; 23:87. [PMID: 36443830 PMCID: PMC9703746 DOI: 10.1186/s40360-022-00626-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 11/14/2022] [Indexed: 11/29/2022] Open
Abstract
Tacrolimus (Tac) is a common immunosuppressant that used in organ transplantation. However, its therapeutic index is narrow, and it is prone to adverse side effects, along with an increased risk of toxicity, namely, cardio-, nephro-, hepato-, and neurotoxicity. Prior metabolomic investigations involving Tac-driven toxicity primarily focused on changes in individual organs. However, extensive research on multiple matrices is uncommon. Hence, in this research, the authors systemically evaluated Tac-mediated toxicity in major organs, namely, serum, brain, heart, liver, lung, kidney, and intestines, using gas chromatography-mass spectrometry (GC-MS). The authors also employed multivariate analyses, including orthogonal projections to the latent structure (OPLS) and t-test, to screen 8 serum metabolites, namely, D-proline, glycerol, D-fructose, D-glucitol, sulfurous acid, 1-monopalmitin (MG (16:0/0:0/0:0)), glycerol monostearate (MG (0:0/18:0/0:0)), and cholesterol. Metabolic changes within the brain involved alterations in the levels of butanamide, tartronic acid, aminomalonic acid, scyllo-inositol, dihydromorphine, myo-inositol, and 11-octadecenoic acid. Within the heart, the acetone and D-fructose metabolites were altered. In the liver, D-glucitol, L-sorbose, palmitic acid, myo-inositol, and uridine were altered. In the lung, L-lactic acid, L-5-oxoproline, L-threonine, phosphoric acid, phosphorylethanolamine, D-allose, and cholesterol were altered. Lastly, in the kidney, L-valine and D-glucose were altered. Our findings will provide a systematic evaluation of the metabolic alterations in target organs within a Tac-driven toxicity mouse model.
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Affiliation(s)
- Dadi Xie
- grid.508306.8Tengzhou Central People’s Hospital, Tengzhou, 277500 China
| | - Jinxiu Guo
- grid.459518.40000 0004 1758 3257Translational Pharmaceutical Laboratory, Jining First People’s Hospital, Jining, 272000 China
| | - Ruili Dang
- grid.459518.40000 0004 1758 3257Translational Pharmaceutical Laboratory, Jining First People’s Hospital, Jining, 272000 China
| | - Yanan Li
- grid.459518.40000 0004 1758 3257Translational Pharmaceutical Laboratory, Jining First People’s Hospital, Jining, 272000 China
| | - Qingying Si
- grid.508306.8Tengzhou Central People’s Hospital, Tengzhou, 277500 China
| | - Wenxiu Han
- grid.459518.40000 0004 1758 3257Translational Pharmaceutical Laboratory, Jining First People’s Hospital, Jining, 272000 China
| | - Shan Wang
- grid.459518.40000 0004 1758 3257Translational Pharmaceutical Laboratory, Jining First People’s Hospital, Jining, 272000 China
| | - Ning Wei
- Department of Gastroenterology, Shanting District People’s Hospital, Zaozhuang, 277200 China
| | - Junjun Meng
- grid.459518.40000 0004 1758 3257Translational Pharmaceutical Laboratory, Jining First People’s Hospital, Jining, 272000 China
| | - Linlin Wu
- grid.508306.8Tengzhou Central People’s Hospital, Tengzhou, 277500 China
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Wan M, Li Q, Lei Q, Zhou D, Wang S. Polyphenols and Polysaccharides from Morus alba L. Fruit Attenuate High-Fat Diet-Induced Metabolic Syndrome Modifying the Gut Microbiota and Metabolite Profile. Foods 2022; 11:foods11121818. [PMID: 35742014 PMCID: PMC9223293 DOI: 10.3390/foods11121818] [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: 05/11/2022] [Revised: 06/17/2022] [Accepted: 06/17/2022] [Indexed: 11/22/2022] Open
Abstract
Morus alba L. fruit, a medicinal and edible fruit in East Asia, showed potential health-promoting effects against metabolic syndrome (MetS). However, both the protective effects and mechanisms of different fractions extracted from Morus alba L. fruit against MetS remain unclear. Additionally, the gut microbiota and its metabolites are regarded as key factors in the development of MetS. This study aimed to investigate the potential role of polyphenols and polysaccharides derived from Morus alba L. fruit against MetS in high-fat diet (HFD)-fed mice, individually and in combination, focusing on remodeling effects on gut microbiota and metabolite profiles. In the study, polyphenols and polysaccharides derived from Morus alba L. fruit improved the traditional pharmacodynamic parameters of MetS, including reductions in body weight (BW) and fat accumulation, improvement in insulin resistance, regulation of dyslipidemia, prevention of pathological changes in liver, kidney and proximal colon tissue, and suppressive actions against oxidative stress. In particular, the group treated with polyphenols and polysaccharides in combination showed better efficacy. The relative abundance of beneficial bacterial genera Muribaculum and Lachnospiraceae_NK4A136_group were increased to various degrees, while opportunistic pathogens such as Prevotella_2, Bacteroides, Faecalibacterium and Fusobacterium were markedly decreased after treatments. Moreover, fecal metabolite profiles revealed 23 differential metabolites related to treatments with polyphenols and polysaccharides derived from Morus alba L. fruit, individually and in combination. Altogether, these results demonstrated that polyphenols and polysaccharides derived from Morus alba L. fruit attenuated MetS in HFD-fed mice, and improved the gut microbiota composition and fecal metabolite profiles.
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Affiliation(s)
- Meixia Wan
- West China School of Pharmacy, Sichuan University, Chengdu 610041, China; (M.W.); (Q.L.); (Q.L.); (D.Z.)
- Qibo College of Medicine, Longdong University, Qingyang 745000, China
| | - Qing Li
- West China School of Pharmacy, Sichuan University, Chengdu 610041, China; (M.W.); (Q.L.); (Q.L.); (D.Z.)
| | - Qianya Lei
- West China School of Pharmacy, Sichuan University, Chengdu 610041, China; (M.W.); (Q.L.); (Q.L.); (D.Z.)
| | - Dan Zhou
- West China School of Pharmacy, Sichuan University, Chengdu 610041, China; (M.W.); (Q.L.); (Q.L.); (D.Z.)
| | - Shu Wang
- West China School of Pharmacy, Sichuan University, Chengdu 610041, China; (M.W.); (Q.L.); (Q.L.); (D.Z.)
- Correspondence: ; Tel.: +86-028-85-503-950
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He X, Yang X, Yan X, Huang M, Xiang Z, Lou Y. Individualized Dosage of Tacrolimus for Renal Transplantation Patients Based on Pharmacometabonomics. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27113517. [PMID: 35684454 PMCID: PMC9182099 DOI: 10.3390/molecules27113517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/19/2022] [Accepted: 05/27/2022] [Indexed: 11/16/2022]
Abstract
The clinical pharmacodynamics of tacrolimus in renal transplant patients has significant interindividual variability. T lymphocytes were selected to study the pharmacodynamic response of tacrolimus, which was significantly correlated with renal function and the outcome of renal transplant patients. Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectroscopy (UPLC/Q-TOF-MS) was performed to obtain the metabolic profiles of 109 renal transplant patients. A partial least squares (PLS) model was constructed to screen potential biomarkers that could predict the efficacy of tacrolimus. Multinomial logistic regression analysis established a bridge that could quantify the relationship between the efficacy of tacrolimus and biomarkers. The results showed a good correlation between endogenous molecules and the efficacy of tacrolimus. Metabolites such as serum creatinine, mesobilirubinogen, L-isoleucine, 5-methoxyindoleacetate, eicosapentaenoic acid, N2-succinoylarginine, tryptophyl-arginine, and butyric acid were indicated as candidate biomarkers. In addition, the key biomarkers could correctly predict the efficacy of tacrolimus with an accuracy of 82.5%. Finally, we explored the mechanism of individual variation by pathway analysis, which showed that amino acid metabolism was significantly related to the efficacy of tacrolimus. Moreover, orthogonal partial least squares discriminant analysis (OPLS-DA) showed that there was no difference in key metabolites among different pharmacodynamic groups at 1 month and 3 months after dose adjustment, suggesting that pharmacometabonomics is a useful tool to predict individual differences in pharmacodynamics and thus to facilitate individualized drug therapy.
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Affiliation(s)
- Xiaoying He
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, Department of Clinical Pharmacy, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou 310000, China; (X.H.); (X.Y.); (X.Y.)
| | - Xi Yang
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, Department of Clinical Pharmacy, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou 310000, China; (X.H.); (X.Y.); (X.Y.)
| | - Xiaoting Yan
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, Department of Clinical Pharmacy, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou 310000, China; (X.H.); (X.Y.); (X.Y.)
| | - Mingzhu Huang
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, Department of Clinical Pharmacy, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou 310000, China; (X.H.); (X.Y.); (X.Y.)
- Correspondence: (M.H.); (Z.X.); (Y.L.); Tel.: +86-571-8723-6871 (Y.L.)
| | - Zheng Xiang
- School of Pharmaceutical Sciences, Zhejiang University City College, Hangzhou 310000, China
- Correspondence: (M.H.); (Z.X.); (Y.L.); Tel.: +86-571-8723-6871 (Y.L.)
| | - Yan Lou
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, Department of Clinical Pharmacy, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 QingChun Road, Hangzhou 310000, China; (X.H.); (X.Y.); (X.Y.)
- Correspondence: (M.H.); (Z.X.); (Y.L.); Tel.: +86-571-8723-6871 (Y.L.)
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Burghelea D, Moisoiu T, Ivan C, Elec A, Munteanu A, Iancu ȘD, Truta A, Kacso TP, Antal O, Socaciu C, Elec FI, Kacso IM. The Use of Machine Learning Algorithms and the Mass Spectrometry Lipidomic Profile of Serum for the Evaluation of Tacrolimus Exposure and Toxicity in Kidney Transplant Recipients. Biomedicines 2022; 10:biomedicines10051157. [PMID: 35625894 PMCID: PMC9138871 DOI: 10.3390/biomedicines10051157] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/13/2022] [Accepted: 05/14/2022] [Indexed: 12/10/2022] Open
Abstract
Tacrolimus has a narrow therapeutic window; a whole-blood trough target concentration of between 5 and 8 ng/mL is considered a safe level for stable kidney transplant recipients. Tacrolimus serum levels must be closely monitored to obtain a balance between maximizing efficacy and minimizing dose-related toxic effects. Currently, there is no specific tacrolimus toxicity biomarker except a graft biopsy. Our study aimed to identify specific serum metabolites correlated with tacrolinemia levels using serum high-precision liquid chromatography–mass spectrometry and standard laboratory evaluation. Three machine learning algorithms were used (Naïve Bayes, logistic regression, and Random Forest) in 19 patients with high tacrolinemia (8 ng/mL) and 23 patients with low tacrolinemia (5 ng/mL). Using a selected panel of five lipid metabolites (phosphatidylserine, phosphatidylglycerol, phosphatidylethanolamine, arachidyl palmitoleate, and ceramide), Mg2+, and uric acid, all three machine learning algorithms yielded excellent classification accuracies between the two groups. The highest classification accuracy was obtained by Naïve Bayes, with an area under the curve of 0.799 and a classification accuracy of 0.756. Our results show that using our identified five lipid metabolites combined with Mg2+ and uric acid serum levels may provide a novel tool for diagnosing tacrolimus toxicity in kidney transplant recipients. Further validation with targeted MS and biopsy-proven TAC toxicity is needed.
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Affiliation(s)
- Dan Burghelea
- Clinical Institute of Urology and Renal Transplantation, 400006 Cluj-Napoca, Romania; (D.B.); (T.M.); (A.E.); (A.M.); (O.A.)
- Department of Urology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, 400012 Cluj-Napoca, Romania
| | - Tudor Moisoiu
- Clinical Institute of Urology and Renal Transplantation, 400006 Cluj-Napoca, Romania; (D.B.); (T.M.); (A.E.); (A.M.); (O.A.)
- Department of Urology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, 400012 Cluj-Napoca, Romania
- Biomed Data Analytics SRL, 400696 Cluj-Napoca, Romania
| | - Cristina Ivan
- “Regina Maria” Hospital, 400117 Cluj-Napoca, Romania;
| | - Alina Elec
- Clinical Institute of Urology and Renal Transplantation, 400006 Cluj-Napoca, Romania; (D.B.); (T.M.); (A.E.); (A.M.); (O.A.)
| | - Adriana Munteanu
- Clinical Institute of Urology and Renal Transplantation, 400006 Cluj-Napoca, Romania; (D.B.); (T.M.); (A.E.); (A.M.); (O.A.)
| | - Ștefania D. Iancu
- Faculty of Physics, Babeș-Bolyai University, 400084 Cluj-Napoca, Romania;
| | - Anamaria Truta
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, 400337 Cluj-Napoca, Romania;
| | - Teodor Paul Kacso
- Department of Nephrology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, 400012 Cluj-Napoca, Romania; (T.P.K.); (I.M.K.)
| | - Oana Antal
- Clinical Institute of Urology and Renal Transplantation, 400006 Cluj-Napoca, Romania; (D.B.); (T.M.); (A.E.); (A.M.); (O.A.)
- Department of Anesthesiology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, 400012 Cluj-Napoca, Romania
| | - Carmen Socaciu
- Faculty of Food Science and Technology, University of Agricultural Science and Veterinary Medicine Cluj-Napoca, Calea Mănăştur 3–5, 400372 Cluj-Napoca, Romania;
| | - Florin Ioan Elec
- Clinical Institute of Urology and Renal Transplantation, 400006 Cluj-Napoca, Romania; (D.B.); (T.M.); (A.E.); (A.M.); (O.A.)
- Department of Urology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, 400012 Cluj-Napoca, Romania
- Correspondence: ; Tel.: +40-756285972
| | - Ina Maria Kacso
- Department of Nephrology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, 400012 Cluj-Napoca, Romania; (T.P.K.); (I.M.K.)
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Davidson JA, Robison J, Khailova L, Frank BS, Jaggers J, Ing RJ, Lawson S, Iguidbashian J, Ali E, Treece A, Soranno DE, Osorio-Lujan S, Klawitter J. Metabolomic profiling demonstrates evidence for kidney and urine metabolic dysregulation in a piglet model of cardiac surgery-induced acute kidney injury. Am J Physiol Renal Physiol 2022; 323:F20-F32. [PMID: 35532069 PMCID: PMC9236877 DOI: 10.1152/ajprenal.00039.2022] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Acute kidney injury (AKI) is a common cause of morbidity after congenital heart disease surgery. Progress on diagnosis and therapy remains limited, however, in part due to poor mechanistic understanding and a lack of relevant translational models. Metabolomic approaches could help identify novel mechanisms of injury and potential therapeutic targets. In the present study, we used a piglet model of cardiopulmonary bypass with deep hypothermic circulatory arrest (CPB/DHCA) and targeted metabolic profiling of kidney tissue, urine, and serum to evaluate metabolic changes specific to animals with histological acute kidney injury. CPB/DHCA animals with acute kidney injury were compared with those without acute kidney injury and mechanically ventilated controls. Acute kidney injury occurred in 10 of 20 CPB/DHCA animals 4 h after CPB/DHCA and 0 of 7 control animals. Injured kidneys showed a distinct tissue metabolic profile compared with uninjured kidneys (R2 = 0.93, Q2 = 0.53), with evidence of dysregulated tryptophan and purine metabolism. Nine urine metabolites differed significantly in animals with acute kidney injury with a pattern suggestive of increased aerobic glycolysis. Dysregulated metabolites in kidney tissue and urine did not overlap. CPB/DHCA strongly affected the serum metabolic profile, with only one metabolite that differed significantly with acute kidney injury (pyroglutamic acid, a marker of oxidative stress). In conclusion, based on these findings, kidney tryptophan and purine metabolism are candidates for further mechanistic and therapeutic investigation. Urine biomarkers of aerobic glycolysis could help diagnose early acute kidney injury after CPB/DHCA and warrant further evaluation. The serum metabolites measured at this early time point did not strongly differentiate based on acute kidney injury. NEW & NOTEWORTHY This project explored the metabolic underpinnings of postoperative acute kidney injury (AKI) following pediatric cardiac surgery in a translationally relevant large animal model of cardiopulmonary bypass with deep hypothermic circulatory arrest. Here, we present novel evidence for dysregulated tryptophan catabolism and purine catabolism in kidney tissue and increased urinary glycolysis intermediates in animals who developed histological AKI. These pathways represent potential diagnostic and therapeutic targets for postoperative AKI in this high-risk population.
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Affiliation(s)
- Jesse A Davidson
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Justin Robison
- Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, United States
| | - Ludmila Khailova
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Benjamin S Frank
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - James Jaggers
- Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Richard J Ing
- Department of Anesthesiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Scott Lawson
- Heart Institute, Children's Hospital Colorado, Aurora, CO, United States
| | - John Iguidbashian
- Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Eiman Ali
- Heart Institute, Children's Hospital Colorado, Aurora, CO, United States
| | - Amy Treece
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Danielle E Soranno
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Suzanne Osorio-Lujan
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Jelena Klawitter
- Department of Anesthesiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
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12
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Chen Y, Chen J, Guo D, Yang P, Chen S, Zhao C, Xu C, Zhang Q, Lin C, Zhong S, Zhang S. Tryptophan Metabolites as Biomarkers for Esophageal Cancer Susceptibility, Metastasis, and Prognosis. Front Oncol 2022; 12:800291. [PMID: 35296014 PMCID: PMC8918692 DOI: 10.3389/fonc.2022.800291] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/05/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Perturbation of tryptophan (TRP) metabolism contributes to the immune escape of cancer; however, the explored TRP metabolites are limited, and their efficacy in clarifying the susceptibility and progression of esophageal cancer (EC) remains ambiguous. Our study sought to evaluate the effects of the TRP metabolic profile on the clinical outcomes of EC using a Chinese population cohort; and to develop a risk prediction model targeting TRP metabolism. METHOD A total of 456 healthy individuals as control subjects and 393 patients with EC who were followed up for one year as case subjects were enrolled. Quantification of the plasma concentrations of TRP and its metabolites was performed using HPLC-MS/MS. The logistic regression model was applied to evaluate the effects of the clinical characteristics and plasma metabolites of the subjects on susceptibility and tumor metastasis events, whereas Cox regression analysis was performed to assess the overall survival (OS) of the patients. RESULTS Levels of creatinine and liver enzymes were substantially correlated with multiple metabolites/metabolite ratios in TRP metabolism, suggesting that hepatic and renal function would exert effects on TRP metabolism. Age- and sex-matched case-control subjects were selected using propensity score matching. Plasma exposure to 5-HT was found to be elevated 3.94-fold in case subjects (N = 166) compared to control subjects (N = 203), achieving an AUC of 0.811 for predicting susceptibility event. Subsequent correlation analysis indicated that a higher plasma exposure to 5-HIAA significantly increased the risk of lymph node metastasis (OR: 2.16, p = 0.0114). Furthermore, it was figured out that OS was significantly shorter for patients with elevated XA/KYN ratio (HR: 1.99, p = 0.0016), in which medium and high levels of XA/KYN versus low level had a significantly lower OS (HR: 0.48, p = 0.0080 and HR: 0.42, p = 0.0031, respectively). CONCLUSION This study provides a pivotal basis for targeting endogenous TRP metabolism as a potential therapeutic intervention.
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Affiliation(s)
- Yun Chen
- Department of Pharmacy, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
| | - Jianliang Chen
- Clinical Laboratory, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Dainian Guo
- Department of Pharmacy, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Peixuan Yang
- Health Management Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuang Chen
- Department of Pharmacology, Shantou University Medical College, Shantou, China;Department of Pharmacy, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
| | - Chengkuan Zhao
- Department of Pharmacology, Shantou Chaonan Minsheng Hospital, Shantou, China
| | - Chengcheng Xu
- Department of Pharmacy, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
- Department of Pharmacology, Shantou University Medical College, Shantou, China
| | - Qiuzhen Zhang
- Department of Pharmacy, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
- Department of Pharmacology, Shantou University Medical College, Shantou, China
| | - Chaoxian Lin
- Department of Pharmacology, Shantou Chaonan Minsheng Hospital, Shantou, China
| | - Shilong Zhong
- Department of Pharmacology, Shantou University Medical College, Shantou, China
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shuyao Zhang
- Department of Pharmacy, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, China
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Albóniga OE, Jiménez D, Sánchez-Conde M, Vizcarra P, Ron R, Herrera S, Martínez-Sanz J, Moreno E, Moreno S, Barbas C, Serrano-Villar S. Metabolic Snapshot of Plasma Samples Reveals New Pathways Implicated in SARS-CoV-2 Pathogenesis. J Proteome Res 2022; 21:623-634. [PMID: 35133846 DOI: 10.1021/acs.jproteome.1c00786] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Despite the scientific and human efforts to understand COVID-19, there are questions still unanswered. Variations in the metabolic reaction to SARS-CoV-2 infection could explain the striking differences in the susceptibility to infection and the risk of severe disease. Here, we used untargeted metabolomics to examine novel metabolic pathways related to SARS-CoV-2 susceptibility and COVID-19 clinical severity using capillary electrophoresis coupled to a time-of-flight mass spectrometer (CE-TOF-MS) in plasma samples. We included 27 patients with confirmed COVID-19 and 29 healthcare workers heavily exposed to SARS-CoV-2 but with low susceptibility to infection ("nonsusceptible"). We found a total of 42 metabolites of SARS-CoV-2 susceptibility or COVID-19 clinical severity. We report the discovery of new plasma biomarkers for COVID-19 that provide mechanistic explanations for the clinical consequences of SARS-CoV-2, including mitochondrial and liver dysfunction as a consequence of hypoxemia (citrulline, citric acid, and 3-aminoisobutyric acid (BAIBA)), energy production and amino acid catabolism (phenylalanine and histidine), and endothelial dysfunction and thrombosis (citrulline, asymmetric dimethylarginine (ADMA), and 2-aminobutyric acid (2-AB)), and we found interconnections between these pathways. In summary, in this first report several metabolic pathways implicated in SARS-CoV-2 susceptibility and COVID-19 clinical progression were found by CE-MS based metabolomics that could be developed as biomarkers of COVID-19.
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Affiliation(s)
- Oihane E Albóniga
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28660 Madrid, Spain
| | - Daniel Jiménez
- Servicio de Enfermedades Infecciosas, IRYCIS, Hospital Universitario Ramón y Cajal and CIBERInf, Carretera de Colmenar Viejo km 9.100, 28034 Madrid, Spain
| | - Matilde Sánchez-Conde
- Servicio de Enfermedades Infecciosas, IRYCIS, Hospital Universitario Ramón y Cajal and CIBERInf, Carretera de Colmenar Viejo km 9.100, 28034 Madrid, Spain
| | - Pilar Vizcarra
- Servicio de Enfermedades Infecciosas, IRYCIS, Hospital Universitario Ramón y Cajal and CIBERInf, Carretera de Colmenar Viejo km 9.100, 28034 Madrid, Spain
| | - Raquel Ron
- Servicio de Enfermedades Infecciosas, IRYCIS, Hospital Universitario Ramón y Cajal and CIBERInf, Carretera de Colmenar Viejo km 9.100, 28034 Madrid, Spain
| | - Sabina Herrera
- Servicio de Enfermedades Infecciosas, IRYCIS, Hospital Universitario Ramón y Cajal and CIBERInf, Carretera de Colmenar Viejo km 9.100, 28034 Madrid, Spain
| | - Javier Martínez-Sanz
- Servicio de Enfermedades Infecciosas, IRYCIS, Hospital Universitario Ramón y Cajal and CIBERInf, Carretera de Colmenar Viejo km 9.100, 28034 Madrid, Spain
| | - Elena Moreno
- Servicio de Enfermedades Infecciosas, IRYCIS, Hospital Universitario Ramón y Cajal and CIBERInf, Carretera de Colmenar Viejo km 9.100, 28034 Madrid, Spain
| | - Santiago Moreno
- Servicio de Enfermedades Infecciosas, IRYCIS, Hospital Universitario Ramón y Cajal and CIBERInf, Carretera de Colmenar Viejo km 9.100, 28034 Madrid, Spain
| | - Coral Barbas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28660 Madrid, Spain
| | - Sergio Serrano-Villar
- Servicio de Enfermedades Infecciosas, IRYCIS, Hospital Universitario Ramón y Cajal and CIBERInf, Carretera de Colmenar Viejo km 9.100, 28034 Madrid, Spain
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14
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Cao P, Kang Y, Liu J, Liu X, Jin Y, Zhang Z. Urinary metabolomics study of vancomycin-associated nephrotoxicity based on ultra-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry. Hum Exp Toxicol 2022; 41:9603271221119178. [PMID: 35984423 DOI: 10.1177/09603271221119178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Drug-induced nephrotoxicity is widespread and seriously affects human health. Vancomycin is a classical glycopeptide antibiotic. Vancomycin is widely used for severe infections caused by Gram-positive bacteria, especially methicillin-resistant Staphylococcus aureus but its obvious nephrotoxicity affects the safety of its clinical application. However, the etiology of vancomycin induced kidney injury is not well understood. This study aimed to explore the potential mechanism of vancomycin-induced nephrotoxicity in rats. Vancomycin (400 mgkg-1) was used to establish kidney injury models in rats. A metabonomic approach was employed using ultra-performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) to delineate metabolic alterations. As a result, 15, 22, and 37 biomarkers were identified in urine samples from the treatment group compared to the control model on D2, D4, and D7, respectively. Changes in the levels of these metabolites indicated that amino acid metabolism and energy metabolism were disturbed in rats with vancomycin-associated nephrotoxicity. This study revealed the kidney effect of vancomycin, which may provide novel and promising research approaches to vancomycin-induced renal toxicity.
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Affiliation(s)
- Pei Cao
- Department of Pharmacy, 71213The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yu Kang
- Department of Pharmacy, 71213The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jian Liu
- Department of Pharmacy, 71213The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiuju Liu
- Department of Pharmacy, 71213The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yiran Jin
- Department of Pharmacy, 71213The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zhiqing Zhang
- Department of Pharmacy, 71213The Second Hospital of Hebei Medical University, Shijiazhuang, China
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15
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Wee HN, Liu JJ, Ching J, Kovalik JP, Lim SC. The Kynurenine Pathway in Acute Kidney Injury and Chronic Kidney Disease. Am J Nephrol 2021; 52:771-787. [PMID: 34753140 PMCID: PMC8743908 DOI: 10.1159/000519811] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 09/15/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND The kynurenine pathway (KP) is the major catabolic pathway for tryptophan degradation. The KP plays an important role as the sole de novo nicotinamide adenine dinucleotide (NAD+) biosynthetic pathway in normal human physiology and functions as a counter-regulatory mechanism to mitigate immune responses during inflammation. Although the KP has been implicated in a variety of disorders including Huntington's disease, seizures, cardiovascular disease, and osteoporosis, its role in renal diseases is seldom discussed. SUMMARY This review summarizes the roles of the KP and its metabolites in acute kidney injury (AKI) and chronic kidney disease (CKD) based on current literature evidence. Metabolomics studies demonstrated that the KP metabolites were significantly altered in patients and animal models with AKI or CKD. The diagnostic and prognostic values of the KP metabolites in AKI and CKD were highlighted in cross-sectional and longitudinal human observational studies. The biological impact of the KP on the pathophysiology of AKI and CKD has been studied in experimental models of different etiologies. In particular, the activation of the KP was found to confer protection in animal models of glomerulonephritis, and its immunomodulatory mechanism may involve the regulation of T cell subsets such as Th17 and regulatory T cells. Manipulation of the KP to increase NAD+ production or diversion toward specific KP metabolites was also found to be beneficial in animal models of AKI. Key Messages: KP metabolites are reported to be dysregulated in human observational and animal experimental studies of AKI and CKD. In AKI, the magnitude and direction of changes in the KP depend on the etiology of the damage. In CKD, KP metabolites are altered with the onset and progression of CKD all the way to advanced stages of the disease, including uremia and its related vascular complications. The activation of the KP and diversion to specific sub-branches are currently being explored as therapeutic strategies in these diseases, especially with regards to the immunomodulatory effects of certain KP metabolites. Further elucidation of the KP may hold promise for the development of biomarkers and targeted therapies for these kidney diseases.
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Affiliation(s)
| | - Jian-Jun Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore
| | - Jianhong Ching
- Duke-NUS Medical School, Singapore, Singapore
- KK Research Centre, KK Women's and Children's Hospital, Singapore, Singapore
| | | | - Su Chi Lim
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Diabetes Centre, Admiralty Medical Centre, Singapore, Singapore
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16
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Ma C, He J, Lai L, Chen Y, Xue W, Chen J, Dai W, Tang D, Yan Q, Dai Y. Intestinal microbiome and metabolome analyses reveal metabolic disorders in the early stage of renal transplantation. Mol Omics 2021; 17:985-996. [PMID: 34676841 DOI: 10.1039/d1mo00279a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Renal transplantation is the most effective treatment for end-stage renal disease, but the long-term prognosis of organs after transplantation is not ideal. In recent years, the importance of gut microbes and metabolites in the study of disease mechanisms has gradually received attention. However, the coordination between gut microbes and the metabolism of renal transplant patients needs further study. We integrated 16s sequencing and metabolomics data to describe the changes in the serum and fecal metabolites of renal transplant patients. Our data revealed that the gut microbial diversity decreased and the relative abundance of many bacteria, such as Enterococcus and Streptococcus, significantly changed after transplantation. In addition, a large number of amino acids and peptides in serum and feces significantly changed, suggesting an abnormal amino acid metabolism after transplantation. Spearman's correlation analysis revealed the changes in the co-metabolism pattern between gut microbes and the host metabolism after transplantation. Furthermore, Enterococcus was found to be correlated with renal functions and metabolites reflecting renal damage. This study provides potential gut microbes and metabolites impacting renal health, which helps in understanding the renal damage in patients with kidney transplantation.
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Affiliation(s)
- Chiyu Ma
- Guangxi Key Laboratory of Metabolic Disease Research, Nephrology Department, Central Laboratory of Guilin, NO. 924 Hospital, Guilin, 541002, China. .,Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen 518020, China
| | - Jingquan He
- Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen 518020, China
| | - Liusheng Lai
- Guangxi Key Laboratory of Metabolic Disease Research, Nephrology Department, Central Laboratory of Guilin, NO. 924 Hospital, Guilin, 541002, China.
| | - Yumei Chen
- Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen 518020, China
| | - Wen Xue
- Guangxi Key Laboratory of Metabolic Disease Research, Nephrology Department, Central Laboratory of Guilin, NO. 924 Hospital, Guilin, 541002, China.
| | - Jieping Chen
- Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen 518020, China
| | - Weier Dai
- College of Natural Science, University of Texas at Austin, Austin, Texas, 78712, USA
| | - Donge Tang
- Guangxi Key Laboratory of Metabolic Disease Research, Nephrology Department, Central Laboratory of Guilin, NO. 924 Hospital, Guilin, 541002, China. .,Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen 518020, China
| | - Qiang Yan
- Guangxi Key Laboratory of Metabolic Disease Research, Nephrology Department, Central Laboratory of Guilin, NO. 924 Hospital, Guilin, 541002, China.
| | - Yong Dai
- Guangxi Key Laboratory of Metabolic Disease Research, Nephrology Department, Central Laboratory of Guilin, NO. 924 Hospital, Guilin, 541002, China. .,Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen 518020, China
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17
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Multi-Solvent Extraction Procedure for the Pioneer Fecal Metabolomic Analysis-Identification of Potential Biomarkers in Stable Kidney Transplant Patients. Diagnostics (Basel) 2021; 11:diagnostics11060962. [PMID: 34073647 PMCID: PMC8229050 DOI: 10.3390/diagnostics11060962] [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: 03/31/2021] [Revised: 05/13/2021] [Accepted: 05/22/2021] [Indexed: 11/21/2022] Open
Abstract
Metabolic alteration plays a functional role in kidney allograft complications. Metabolomics is a promising high-throughput approach in nephrology but is still limited by the lack of overlap in metabolite coverage. We performed an untargeted fecal metabolomic analysis of forty stable kidney allograft recipients and twenty non-transplant controls. First, we applied the ultra-high performance liquid chromatography (UHPLC) analysis coupled with the Diod Array detector. The potential biomarkers were then collected and identified by gas chromatography-mass spectrometry (GCMS). In order to allow for complete coverage of the fecal polar and non-polar metabolites, the performance of five organic solvents with increasing polarity was investigated successively. UHPLC analysis revealed that the fecal metabolite profiles following the five extractions were significantly different between controls and kidney allografts. GC-MS analysis showed that the best predictors’ metabolites belonged mainly to long-chain fatty acids, phenolic compounds, and amino acids. Collectively, our results showed the efficiency of our pioneer method to successfully discriminate stable kidney-transplant recipients from controls. These findings suggest that distinct metabolic profiles mainly affect fatty acid biosynthesis and amino acid metabolism. In such a context, the novel insights into metabolomic investigation may be a valuable tool that could provide useful new relevant biomarkers for preventing kidney transplant complications.
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18
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Tryptophan Metabolism via Kynurenine Pathway: Role in Solid Organ Transplantation. Int J Mol Sci 2021; 22:ijms22041921. [PMID: 33671985 PMCID: PMC7919278 DOI: 10.3390/ijms22041921] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/10/2021] [Accepted: 02/11/2021] [Indexed: 01/01/2023] Open
Abstract
Solid organ transplantation is a gold standard treatment for patients suffering from an end-stage organ disease. Patient and graft survival have vastly improved during the last couple of decades; however, the field of transplantation still encounters several unique challenges, such as a shortage of transplantable organs and increasing pool of extended criteria donor (ECD) organs, which are extremely prone to ischemia-reperfusion injury (IRI), risk of graft rejection and challenges in immune regulation. Moreover, accurate and specific biomarkers, which can timely predict allograft dysfunction and/or rejection, are lacking. The essential amino acid tryptophan and, especially, its metabolites via the kynurenine pathway has been widely studied as a contributor and a therapeutic target in various diseases, such as neuropsychiatric, autoimmune disorders, allergies, infections and malignancies. The tryptophan-kynurenine pathway has also gained interest in solid organ transplantation and a variety of experimental studies investigating its role both in IRI and immune regulation after allograft implantation was first published. In this review, the current evidence regarding the role of tryptophan and its metabolites in solid organ transplantation is presented, giving insights into molecular mechanisms and into therapeutic and diagnostic/prognostic possibilities.
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Sabapathy D, Klawitter J, Silveira L, Khailova L, Mitchell MB, Morgan GJ, DiMaria MV, Twite M, Frank BS, Davidson JA. Activation of kynurenine pathway of tryptophan metabolism after infant cardiac surgery with cardiopulmonary bypass: a prospective cohort study. Metabolomics 2020; 16:93. [PMID: 32889608 PMCID: PMC8157309 DOI: 10.1007/s11306-020-01714-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/18/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Serum kynurenic acid is associated with poor outcomes after infant cardiopulmonary bypass (CPB), but comprehensive mapping of the kynurenine pathway (KP) after CPB has yet to be performed. AIMS To map changes in the KP induced by infant CPB. METHODS Compared changes in serum KP metabolites through 48hrs post-op with liquid-chromatography-tandem mass spectrometry. RESULTS Infant CPB results in marked increase in proximal, but not distal metabolites of the KP. CONCLUSIONS Infant CPB leads to accumulation of circulating KP metabolites, which have important neurologic and immunologic activities. Thus, further exploration of the KP is warranted in these high-risk infants.
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Affiliation(s)
- Divya Sabapathy
- University of Colorado Denver Department of Pediatrics, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA
| | - Jelena Klawitter
- University of Colorado Denver Department of Anesthesiology, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA
| | - Lori Silveira
- University of Colorado Denver Department of Biostatistics, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA
| | - Ludmila Khailova
- Section of Cardiology, University of Colorado Denver Department of Pediatrics, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA
| | - Max B Mitchell
- University of Colorado Denver Department of Surgery, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA
| | - Gareth J Morgan
- Section of Cardiology, University of Colorado Denver Department of Pediatrics, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA
| | - Michael V DiMaria
- Section of Cardiology, University of Colorado Denver Department of Pediatrics, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA
| | - Mark Twite
- University of Colorado Denver Department of Anesthesiology, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA
| | - Benjamin S Frank
- Section of Cardiology, University of Colorado Denver Department of Pediatrics, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA
| | - Jesse A Davidson
- Section of Cardiology, University of Colorado Denver Department of Pediatrics, 13123 East 16th Ave, Box 100, Aurora, CO, 80045, USA.
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