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Wulczyn KE, Shafi T, Anderson A, Rincon-Choles H, Clish CB, Denburg M, Feldman HI, He J, Hsu CY, Kelly T, Kimmel PL, Mehta R, Nelson RG, Ramachandran V, Ricardo A, Shah VO, Srivastava A, Xie D, Rhee EP, Kalim S. Metabolites Associated With Uremic Symptoms in Patients With CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study. Am J Kidney Dis 2024; 84:49-61.e1. [PMID: 38266973 PMCID: PMC11193655 DOI: 10.1053/j.ajkd.2023.11.013] [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: 06/03/2023] [Revised: 10/30/2023] [Accepted: 11/20/2023] [Indexed: 01/26/2024]
Abstract
RATIONALE & OBJECTIVE The toxins that contribute to uremic symptoms in patients with chronic kidney disease (CKD) are unknown. We sought to apply complementary statistical modeling approaches to data from untargeted plasma metabolomic profiling to identify solutes associated with uremic symptoms in patients with CKD. STUDY DESIGN Cross-sectional. SETTING & PARTICIPANTS 1,761 Chronic Renal Insufficiency Cohort (CRIC) participants with CKD not treated with dialysis. PREDICTORS Measurement of 448 known plasma metabolites. OUTCOMES The uremic symptoms of fatigue, anorexia, pruritus, nausea, paresthesia, and pain were assessed by single items on the Kidney Disease Quality of Life-36 instrument. ANALYTICAL APPROACH Multivariable adjusted linear regression, least absolute shrinkage and selection operator linear regression, and random forest models were used to identify metabolites associated with symptom severity. After adjustment for multiple comparisons, metabolites selected in at least 2 of the 3 modeling approaches were deemed "overall significant." RESULTS Participant mean estimated glomerular filtration rate was 43mL/min/1.73m2, with 44% self-identifying as female and 41% as non-Hispanic Black. The prevalence of uremic symptoms ranged from 22% to 55%. We identified 17 metabolites for which a higher level was associated with greater severity of at least one uremic symptom and 9 metabolites inversely associated with uremic symptom severity. Many of these metabolites exhibited at least a moderate correlation with estimated glomerular filtration rate (Pearson's r≥0.5), and some were also associated with the risk of developing kidney failure or death in multivariable adjusted Cox regression models. LIMITATIONS Lack of a second independent cohort for external validation of our findings. CONCLUSIONS Metabolomic profiling was used to identify multiple solutes associated with uremic symptoms in adults with CKD, but future validation and mechanistic studies are needed. PLAIN-LANGUAGE SUMMARY Individuals living with chronic kidney disease (CKD) often experience symptoms related to CKD, traditionally called uremic symptoms. It is likely that CKD results in alterations in the levels of numerous circulating substances that, in turn, cause uremic symptoms; however, the identity of these solutes is not known. In this study, we used metabolomic profiling in patients with CKD to gain insights into the pathophysiology of uremic symptoms. We identified 26 metabolites whose levels were significantly associated with at least one of the symptoms of fatigue, anorexia, itchiness, nausea, paresthesia, and pain. The results of this study lay the groundwork for future research into the biological causes of symptoms in patients with CKD.
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Affiliation(s)
- Kendra E Wulczyn
- Nephrology Division, Massachusetts General Hospital, Boston, Massachusetts.
| | - Tariq Shafi
- Division of Nephrology, Department of Medicine, Houston Methodist Hospital, Houston, Texas
| | - Amanda Anderson
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Hernan Rincon-Choles
- Department of Nephrology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Michelle Denburg
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Division of Pediatric Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Harold I Feldman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Chi-Yuan Hsu
- Division of Nephrology, University of California, San Francisco, School of Medicine, San Francisco, California; Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Tanika Kelly
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Paul L Kimmel
- Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Rupal Mehta
- Division of Nephrology, Northwestern University, Chicago, Illinois
| | - Robert G Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona
| | - Vasan Ramachandran
- Department of Epidemiology and Sections of Preventive Medicine and Epidemiology and Cardiology, Department of Medicine, Boston University School of Public Health, Boston, Massachusetts
| | - Ana Ricardo
- Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Vallabh O Shah
- Department of Internal Medicine and Biochemistry, School of Medicine, University of New Mexico, Albuquerque, New Mexico
| | - Anand Srivastava
- Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Division of Nephrology and Hypertension, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Dawei Xie
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Eugene P Rhee
- Nephrology Division, Massachusetts General Hospital, Boston, Massachusetts; Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Sahir Kalim
- Nephrology Division, Massachusetts General Hospital, Boston, Massachusetts
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Stryjak I, Warmuzińska N, Łuczykowski K, Jaroch K, Urbanellis P, Selzner M, Bojko B. Metabolomic and lipidomic landscape of porcine kidney associated with kidney perfusion in heart beating donors and donors after cardiac death. Transl Res 2024; 267:79-90. [PMID: 38052298 DOI: 10.1016/j.trsl.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 10/23/2023] [Accepted: 12/01/2023] [Indexed: 12/07/2023]
Abstract
Transplant centers are currently facing a lack of tools to ensure adequate evaluation of the quality of the available organs, as well as a significant shortage of kidney donors. Therefore, efforts are being made to facilitate the effective use of available organs and expand the donor pool, particularly with expanded criteria donors. Fulfilling a need, we aim to present an innovative analytical method based on solid-phase microextraction (SPME) - chemical biopsy. In order to track changes affecting the organ throughout the entire transplant procedure, porcine kidneys were subjected to multiple samplings at various time points. The application of small-diameter SPME probes assured the minimal invasiveness of the procedure. Porcine model kidney autotransplantation was executed for the purpose of simulating two types of donor scenarios: donors with a beating heart (HBD) and donors after cardiac death (DCD). All renal grafts were exposed to continuous normothermic ex vivo perfusion. Following metabolomic and lipidomic profiling using high-performance liquid chromatography coupled to a mass spectrometer, we observed differences in the profiles of HBD and DCD kidneys. The alterations were predominantly related to energy and glucose metabolism, and differences in the levels of essential amino acids, purine nucleosides, lysophosphocholines, phosphoethanolamines, and triacylglycerols were noticed. Our results indicate the potential of implementing chemical biopsy in the evaluation of graft quality and monitoring of renal function during perfusion.
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Affiliation(s)
- Iga Stryjak
- Department of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
| | - Natalia Warmuzińska
- Department of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
| | - Kamil Łuczykowski
- Department of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
| | - Karol Jaroch
- Department of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
| | - Peter Urbanellis
- Ajmera Transplant Center, Department of Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Markus Selzner
- Ajmera Transplant Center, Department of Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada; Department of Medicine, Toronto General Hospital, Toronto, ON, Canada
| | - Barbara Bojko
- Department of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland.
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3
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Yin Y, Shan C, Han Q, Chen C, Wang Z, Huang Z, Chen H, Sun L, Fei S, Tao J, Han Z, Tan R, Gu M, Ju X. Causal effects of human serum metabolites on occurrence and progress indicators of chronic kidney disease: a two-sample Mendelian randomization study. Front Nutr 2024; 10:1274078. [PMID: 38260086 PMCID: PMC10800733 DOI: 10.3389/fnut.2023.1274078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Background Chronic kidney disease (CKD) is often accompanied by alterations in the metabolic profile of the body, yet the causative role of these metabolic changes in the onset of CKD remains a subject of ongoing debate. This study investigates the causative links between metabolites and CKD by leveraging the results of genomewide association study (GWAS) from 486 blood metabolites, employing bulk two-sample Mendelian randomization (MR) analyses. Building on the metabolites that exhibit a causal relationship with CKD, we delve deeper using enrichment analysis to identify the metabolic pathways that may contribute to the development and progression of CKD. Methods In conducting the Mendelian randomization analysis, we treated the GWAS data for 486 metabolic traits as exposure variables while using GWAS data for estimated glomerular filtration rate based on serum creatinine (eGFRcrea), microalbuminuria, and the urinary albumin-to-creatinine ratio (UACR) sourced from the CKDGen consortium as the outcome variables. Inverse-variance weighting (IVW) analysis was used to identify metabolites with a causal relationship to outcome. Using Bonferroni correction, metabolites with more robust causal relationships are screened. Additionally, the IVW-positive results were supplemented with the weighted median, MR-Egger, weighted mode, and simple mode. Furthermore, we performed sensitivity analyses using the Cochran Q test, MR-Egger intercept test, MR-PRESSO, and leave-one-out (LOO) test. Pathway enrichment analysis was conducted using two databases, KEGG and SMPDB, for eligible metabolites. Results During the batch Mendelian randomization (MR) analyses, upon completion of the inverse-variance weighted (IVW) approach, sensitivity analysis, and directional consistency checks, 78 metabolites were found to meet the criteria. The following four metabolites satisfy Bonferroni correction: mannose, N-acetylornithine, glycine, and bilirubin (Z, Z), and mannose is causally related to all outcomes of CKD. By pathway enrichment analysis, we identified eight metabolic pathways that contribute to CKD occurrence and progression. Conclusion Based on the present analysis, mannose met Bonferroni correction and had causal associations with CKD, eGFRcrea, microalbuminuria, and UACR. As a potential target for CKD diagnosis and treatment, mannose is believed to play an important role in the occurrence and development of CKD.
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Affiliation(s)
- Yu Yin
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Conghui Shan
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qianguang Han
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Congcong Chen
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zijie Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhengkai Huang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hao Chen
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Li Sun
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shuang Fei
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jun Tao
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhijian Han
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ruoyun Tan
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Min Gu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaobing Ju
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Mathew AV, Kayampilly P, Byun J, Nair V, Afshinnia F, Chai B, Brosius FC, Kretzler M, Pennathur S. Tubular dysfunction impairs renal excretion of pseudouridine in diabetic kidney disease. Am J Physiol Renal Physiol 2024; 326:F30-F38. [PMID: 37916286 PMCID: PMC11194048 DOI: 10.1152/ajprenal.00252.2022] [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: 09/29/2022] [Revised: 10/02/2023] [Accepted: 10/26/2023] [Indexed: 11/03/2023] Open
Abstract
Plasma nucleosides-pseudouridine (PU) and N2N2-dimethyl guanosine (DMG) predict the progression of type 2 diabetic kidney disease (DKD) to end-stage renal disease, but the mechanisms underlying this relationship are not well understood. We used a well-characterized model of type 2 diabetes (db/db mice) and control nondiabetic mice (db/m mice) to characterize the production and excretion of PU and DMG levels using liquid chromatography-mass spectrometry. The fractional excretion of PU and DMG was decreased in db/db mice compared with control mice at 24 wk before any changes to renal function. We then examined the dynamic changes in nucleoside metabolism using in vivo metabolic flux analysis with the injection of labeled nucleoside precursors. Metabolic flux analysis revealed significant decreases in the ratio of urine-to-plasma labeling of PU and DMG in db/db mice compared with db/m mice, indicating significant tubular dysfunction in diabetic kidney disease. We observed that the gene and protein expression of the renal tubular transporters involved with nucleoside transport in diabetic kidneys in mice and humans was reduced. In conclusion, this study strongly suggests that tubular handling of nucleosides is altered in early DKD, in part explaining the association of PU and DMG with human DKD progression observed in previous studies.NEW & NOTEWORTHY Tubular dysfunction explains the association between the nucleosides pseudouridine and N2N2-dimethyl guanosine and diabetic kidney disease.
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Affiliation(s)
- Anna V Mathew
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Pradeep Kayampilly
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Jaeman Byun
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Viji Nair
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Farsad Afshinnia
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Biaoxin Chai
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Frank C Brosius
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
- Department of Medicine, University of Arizona, Tucson, Arizona, United States
| | - Matthias Kretzler
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan, United States
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, United States
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Serrano E, Shenoy P, Martinez Cantarin MP. Adipose tissue metabolic changes in chronic kidney disease. IMMUNOMETABOLISM (COBHAM (SURREY, ENGLAND)) 2023; 5:e00023. [PMID: 37128293 PMCID: PMC10144329 DOI: 10.1097/in9.0000000000000023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 04/04/2023] [Indexed: 05/03/2023]
Abstract
Adipose tissue is a complex organ whose functions go beyond being an energy reservoir to sustain proper body energy homeostasis. Functioning as an endocrine organ, the adipose tissue has an active role in the body's metabolic balance regulation through several secreted factors generally termed as adipokines. Thus, adipose tissue dysregulation in chronic kidney disease (CKD) can have a deep impact in the pathophysiology of diseases associated with metabolic dysregulation including metabolic syndrome, insulin resistance (IR), atherosclerosis, and even cachexia. CKD is a progressive disorder linked to increased morbidity and mortality. Despite being characterized by renal function loss, CKD is accompanied by metabolic disturbances such as dyslipidemia, protein energy wasting, chronic low-grade inflammation, IR, and lipid redistribution. Thus far, the mechanisms by which these changes occur and the role of adipose tissue in CKD development and progression are unclear. Further understanding of how these factors develop could have implications for the management of CKD by helping identify pharmacological targets to improve CKD outcomes.
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Affiliation(s)
- Eurico Serrano
- Division of Nephrology, Department of Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
| | - Prashamsa Shenoy
- Division of Nephrology, Department of Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
| | - Maria Paula Martinez Cantarin
- Division of Nephrology, Department of Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
- *Correspondence: Maria Paula Martinez Cantarin, E-mail:
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Humphries TLR, Vesey DA, Galloway GJ, Gobe GC, Francis RS. Identifying disease progression in chronic kidney disease using proton magnetic resonance spectroscopy. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2023; 134-135:52-64. [PMID: 37321758 DOI: 10.1016/j.pnmrs.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/16/2023] [Accepted: 04/01/2023] [Indexed: 06/17/2023]
Abstract
Chronic kidney disease (CKD) affects approximately 10% of the world population, higher still in some developing countries, and can cause irreversible kidney damage eventually leading to kidney failure requiring dialysis or kidney transplantation. However, not all patients with CKD will progress to this stage, and it is difficult to distinguish between progressors and non-progressors at the time of diagnosis. Current clinical practice involves monitoring estimated glomerular filtration rate and proteinuria to assess CKD trajectory over time; however, there remains a need for novel, validated methods that differentiate CKD progressors and non-progressors. Nuclear magnetic resonance techniques, including magnetic resonance spectroscopy and magnetic resonance imaging, have the potential to improve our understanding of CKD progression. Herein, we review the application of magnetic resonance spectroscopy both in preclinical and clinical settings to improve the diagnosis and surveillance of patients with CKD.
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Affiliation(s)
- Tyrone L R Humphries
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia; Department of Nephrology, Princess Alexandra Hospital, Woolloongabba, Queensland 4102, Australia.
| | - David A Vesey
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia; Department of Nephrology, Princess Alexandra Hospital, Woolloongabba, Queensland 4102, Australia
| | - Graham J Galloway
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia
| | - Glenda C Gobe
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia
| | - Ross S Francis
- Kidney Disease Research Collaborative, University of Queensland and Translational Research Institute, Brisbane, Queensland 4102, Australia; Department of Nephrology, Princess Alexandra Hospital, Woolloongabba, Queensland 4102, Australia
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7
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Wang YN, Zhang ZH, Liu HJ, Guo ZY, Zou L, Zhang YM, Zhao YY. Integrative phosphatidylcholine metabolism through phospholipase A 2 in rats with chronic kidney disease. Acta Pharmacol Sin 2023; 44:393-405. [PMID: 35922553 PMCID: PMC9889763 DOI: 10.1038/s41401-022-00947-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 06/22/2022] [Indexed: 02/04/2023] Open
Abstract
Dysregulation in lipid metabolism is the leading cause of chronic kidney disease (CKD) and also the important risk factors for high morbidity and mortality. Although lipid abnormalities were identified in CKD, integral metabolic pathways for specific individual lipid species remain to be clarified. We conducted ultra-high-performance liquid chromatography-high-definition mass spectrometry-based lipidomics and identified plasma lipid species and therapeutic effects of Rheum officinale in CKD rats. Adenine-induced CKD rats were administered Rheum officinale. Urine, blood and kidney tissues were collected for analyses. We showed that exogenous adenine consumption led to declining kidney function in rats. Compared with control rats, a panel of differential plasma lipid species in CKD rats was identified in both positive and negative ion modes. Among the 50 lipid species, phosphatidylcholine (PC), lysophosphatidylcholine (LysoPC) and lysophosphatidic acid (LysoPA) accounted for the largest number of identified metabolites. We revealed that six PCs had integral metabolic pathways, in which PC was hydrolysed into LysoPC, and then converted to LysoPA, which was associated with increased cytosolic phospholipase A2 protein expression in CKD rats. The lower levels of six PCs and their corresponding metabolites could discriminate CKD rats from control rats. Receiver operating characteristic curves showed that each individual lipid species had high values of area under curve, sensitivity and specificity. Administration of Rheum officinale significantly improved impaired kidney function and aberrant PC metabolism in CKD rats. Taken together, this study demonstrates that CKD leads to PC metabolism disorders and that the dysregulation of PC metabolism is involved in CKD pathology.
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Affiliation(s)
- Yan-Ni Wang
- School of Pharmacy, Zhejiang Chinese Medical University, No. 548 Binwen Road, Hangzhou, 310053, China
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, 710069, China
| | - Zhi-Hao Zhang
- State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Hong-Jiao Liu
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, 710069, China
| | - Zhi-Yuan Guo
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, 710069, China
| | - Liang Zou
- School of Food and Bioengineering, Chengdu University, Chengdu, 610106, China
| | - Ya-Mei Zhang
- Clinical Genetics Laboratory, Affiliated Hospital & Clinical Medical College of Chengdu University, Chengdu, 610081, China
| | - Ying-Yong Zhao
- School of Pharmacy, Zhejiang Chinese Medical University, No. 548 Binwen Road, Hangzhou, 310053, China.
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, 710069, China.
- Clinical Genetics Laboratory, Affiliated Hospital & Clinical Medical College of Chengdu University, Chengdu, 610081, China.
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Schuller M, Oberhuber M, Prietl B, Zügner E, Prugger EM, Magnes C, Kirsch AH, Schmaldienst S, Pieber T, Brodmann M, Rosenkranz AR, Eller P, Eller K. Alterations in the Kynurenine-Tryptophan Pathway and Lipid Dysregulation Are Preserved Features of COVID-19 in Hemodialysis. Int J Mol Sci 2022; 23:ijms232214089. [PMID: 36430566 PMCID: PMC9698708 DOI: 10.3390/ijms232214089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/17/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19)-induced metabolic alterations have been proposed as a source for prognostic biomarkers and may harbor potential for therapeutic exploitation. However, the metabolic impact of COVID-19 in hemodialysis (HD), a setting of profound a priori alterations, remains unstudied. To evaluate potential COVID-19 biomarkers in end-stage kidney disease (CKD G5), we analyzed the plasma metabolites in different COVID-19 stages in patients with or without HD. We recruited 18 and 9 asymptomatic and mild, 11 and 11 moderate, 2 and 13 severely affected, and 10 and 6 uninfected HD and non-HD patients, respectively. Plasma samples were taken at the time of diagnosis and/or upon admission to the hospital and analyzed by targeted metabolomics and cytokine/chemokine profiling. Targeted metabolomics confirmed stage-dependent alterations of the metabolome in non-HD patients with COVID-19, which were less pronounced in HD patients. Elevated kynurenine levels and lipid dysregulation, shown by an increase in circulating free fatty acids and a decrease in lysophospholipids, could distinguish patients with moderate COVID-19 from non-infected individuals in both groups. Kynurenine and lipid alterations were also associated with ICAM-1 and IL-15 levels in HD and non-HD patients. Our findings support the kynurenine pathway and plasma lipids as universal biomarkers of moderate and severe COVID-19 independent of kidney function.
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Affiliation(s)
- Max Schuller
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Monika Oberhuber
- Center for Biomarker Research in Medicine, CBmed GmbH, 8010 Graz, Austria
| | - Barbara Prietl
- Center for Biomarker Research in Medicine, CBmed GmbH, 8010 Graz, Austria
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Elmar Zügner
- Institute for Biomedicine and Health Sciences (HEALTH), Joanneum Research Forschungsgesellschaft m.b.H., 8010 Graz, Austria
| | - Eva-Maria Prugger
- Institute for Biomedicine and Health Sciences (HEALTH), Joanneum Research Forschungsgesellschaft m.b.H., 8010 Graz, Austria
| | - Christoph Magnes
- Institute for Biomedicine and Health Sciences (HEALTH), Joanneum Research Forschungsgesellschaft m.b.H., 8010 Graz, Austria
| | - Alexander H. Kirsch
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | | | - Thomas Pieber
- Center for Biomarker Research in Medicine, CBmed GmbH, 8010 Graz, Austria
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Marianne Brodmann
- Division of Angiology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Alexander R. Rosenkranz
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Philipp Eller
- Intensive Care Unit, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Kathrin Eller
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
- Correspondence: ; Tel.: +43-316-385-12170
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Zeng W, Beyene HB, Kuokkanen M, Miao G, Magliano DJ, Umans JG, Franceschini N, Cole SA, Michailidis G, Lee ET, Howard BV, Fiehn O, Curran JE, Blangero J, Meikle PJ, Zhao J. Lipidomic profiling in the Strong Heart Study identified American Indians at risk of chronic kidney disease. Kidney Int 2022; 102:1154-1166. [PMID: 35853479 PMCID: PMC10753995 DOI: 10.1016/j.kint.2022.06.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 06/09/2022] [Accepted: 06/16/2022] [Indexed: 12/14/2022]
Abstract
Dyslipidemia associates with and usually precedes the onset of chronic kidney disease (CKD), but a comprehensive assessment of molecular lipid species associated with risk of CKD is lacking. Here, we sought to identify fasting plasma lipids associated with risk of CKD among American Indians in the Strong Heart Family Study, a large-scale community-dwelling of individuals, followed by replication in Mexican Americans from the San Antonio Family Heart Study and Caucasians from the Australian Diabetes, Obesity and Lifestyle Study. We also performed repeated measurement analysis to examine the temporal relationship between the change in the lipidome and change in kidney function between baseline and follow-up of about five years apart. Network analysis was conducted to identify differential lipid classes associated with risk of CKD. In the discovery cohort, we found that higher baseline level of multiple lipid species, including glycerophospholipids, glycerolipids and sphingolipids, was significantly associated with increased risk of CKD, independent of age, sex, body mass index, diabetes and hypertension. Many lipid species were replicated in at least one external cohort at the individual lipid species and/or the class level. Longitudinal change in the plasma lipidome was significantly associated with change in the estimated glomerular filtration rate after adjusting for covariates, baseline lipids and the baseline rate. Network analysis identified distinct lipidomic signatures differentiating high from low-risk groups. Thus, our results demonstrated that disturbed lipid metabolism precedes the onset of CKD. These findings shed light on the mechanisms linking dyslipidemia to CKD and provide potential novel biomarkers for identifying individuals with early impaired kidney function at preclinical stages.
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Affiliation(s)
- Wenjie Zeng
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Habtamu B Beyene
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Mikko Kuokkanen
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, USA
| | - Guanhong Miao
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA
| | | | - Jason G Umans
- MedStar Health Research Institute, Hyattsville, Maryland, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, District of Columbia, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - George Michailidis
- Department of Statistics, University of Florida, Gainesville, Florida, USA
| | - Elisa T Lee
- Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Barbara V Howard
- MedStar Health Research Institute, Hyattsville, Maryland, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, District of Columbia, USA
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California-Davis, Davis, California, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, USA
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Jinying Zhao
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA.
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10
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Lu Z, Liu C, Wu Q, Deng Y. High-coverage targeted lipidomics could reveal lipid alterations and evaluate therapeutic efficacy of membranous nephropathy. Nutr Metab (Lond) 2022; 19:68. [PMID: 36224633 PMCID: PMC9559911 DOI: 10.1186/s12986-022-00701-4] [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: 07/10/2022] [Accepted: 09/10/2022] [Indexed: 11/10/2022] Open
Abstract
Background Membrane nephropathy (MN) often presents as nephrotic syndrome with characteristic lipid metabolism that could not be explained by lipid indicators commonly used in clinical practice. Studies have shown that invigorating spleen and qi, activating blood and detoxication in the treatment of MN is an effective method proved by randomized controlled clinical trial. However, the alterations of lipid profile before and after traditional Chinese medicine (TCM) treatment and the related lipid markers that affect the therapeutic effect have not been fully clarified. Methods We analyzed plasma lipid profiles of 92 patients with MN before and after TCM treatment by high-coverage targeted lipidomics. Results 675 lipids were identified, of which 368 stably expressed lipids (coefficient of variation less than 30% and deletion value less than 10%) were eventually included for statistical analysis. 105 lipids were altered mainly including spingolipids, glycerides, glycerophosholipid, fatty acyl and steroids, among which, the abundance of ceramides (Cers), sphingomyelins (SMs), diacylglycerols (DGs), phosphatidylcholines (PCs) were lower than those before treatment with statistically significant difference. The WGCNA network to analyze the correlation between the collective effect and the therapeutic effect showed that the triglyceride (TG) molecules were most relevant to the therapeutic effect. Analysis of 162 triglyceride molecules showed that 11 TGs were significantly down-regulated in the effective group which were concentrated in carbon atom number of 52–56 and double bond number of 0–4. TGs molecules including TG56:2-FA20:0, TG56:2-FA20:1, TG56:3-FA20:0 and TG56:5-FA20:2 were most closely related to the therapeutic effect of TCM after adjusting the influence of clinical factors. ROC curve analysis showed that these four lipids could further improve the predictive efficacy of treatment based on clinical indicators. Conclusion Our work demonstrated that the therapeutic effect of invigorating spleen and qi, activating blood and detoxication in the treatment of MN may be exerted by regulating lipid metabolism. High-coverage targeted lipidomics provided a non-invasive tool for discovery of lipid markers to improve the predictive efficacy of TCM therapy.
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Affiliation(s)
- Zhenzhen Lu
- Department of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 725 Wanping Road, Shanghai, 200032, China
| | - Conghui Liu
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China
| | - Qingqing Wu
- Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, China.
| | - Yueyi Deng
- Department of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 725 Wanping Road, Shanghai, 200032, China.
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11
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Sapa H, Gutiérrez OM, Shlipak MG, Katz R, Ix JH, Sarnak MJ, Cushman M, Rhee EP, Kimmel PL, Vasan RS, Schrauben SJ, Feldman HI, Seegmiller JC, Brunengraber H, Hostetter TH, Schelling JR. Association of Uremic Solutes With Cardiovascular Death in Diabetic Kidney Disease. Am J Kidney Dis 2022; 80:502-512.e1. [PMID: 35351578 PMCID: PMC9554797 DOI: 10.1053/j.ajkd.2022.02.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 02/06/2022] [Indexed: 02/02/2023]
Abstract
RATIONALE & OBJECTIVE Cardiovascular disease (CVD) is a major cause of mortality among people with diabetic kidney disease (DKD). The pathophysiology is inadequately explained by traditional CVD risk factors. The uremic solutes trimethylamine-N-oxide (TMAO) and asymmetric and symmetric dimethylarginine (ADMA, SDMA) have been linked to CVD in kidney failure with replacement therapy (KFRT), but data are limited in populations with diabetes and less severe kidney disease. STUDY DESIGN Observational cohort. SETTINGS & PARTICIPANTS Random subcohort of 555 REGARDS (Reasons for Geographic and Racial Differences in Stroke) study participants with diabetes and estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 at study entry. EXPOSURE ADMA, SDMA, and TMAO assayed by liquid chromatography-mass spectrometry in plasma and urine. OUTCOME Cardiovascular mortality (primary outcome); all-cause mortality and incident KFRT (secondary outcomes). ANALYTICAL APPROACH Plasma concentrations and ratios of urine to plasma concentrations of ADMA, SDMA, and TMAO were tested for association with outcomes. Adjusted Cox regression models were fitted and hazard ratios of outcomes calculated per standard deviation and per doubling, and as interquartile comparisons. RESULTS The mean baseline eGFR was 44 mL/min/1.73 m2. Cardiovascular death, overall mortality, and KFRT occurred in 120, 285, and 89 participants, respectively, during a mean 6.2 years of follow-up. Higher plasma ADMA and SDMA (HRs of 1.20 and 1.28 per 1-SD greater concentration), and lower ratios of urine to plasma concentrations of ADMA, SDMA, and TMAO (HRs per halving of 1.53, 1.69, and 1.38) were associated with cardiovascular mortality. Higher plasma concentrations of ADMA, SDMA, and TMAO (HRs of 1.31, 1.42, and 1.13 per 1-SD greater concentration) and lower urine to plasma ratios of ADMA, SDMA, and TMAO (HRs per halving of 1.34, 1.37, and 1.26) were associated with all-cause mortality. Higher plasma ADMA and SDMA were associated with incident KFRT by categorical comparisons (HRs of 2.75 and 2.96, comparing quartile 4 to quartile 1), but not in continuous analyses. LIMITATIONS Single cohort, restricted to patients with diabetes and eGFR < 60 mL/min/1.73 m2, potential residual confounding by GFR, no dietary information. CONCLUSIONS Higher plasma concentrations and lower ratios of urine to plasma concentrations of uremic solutes were independently associated with cardiovascular and all-cause mortality in DKD. Associations of ratios of urine to plasma concentrations with mortality suggest a connection between renal uremic solute clearance and CVD pathogenesis.
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Affiliation(s)
- Hima Sapa
- Division of Nephrology, Department of Internal Medicine, University Hospitals Cleveland, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Orlando M Gutiérrez
- Departments of Medicine and Epidemiology, University of Alabama, Birmingham, Alabama
| | - Michael G Shlipak
- Kidney Health Research Collaborative and Department of Medicine, San Francisco Veterans Administration Medical Center and University of California-San Francisco, San Francisco, California
| | - Ronit Katz
- Kidney Research Institute, University of Washington, Seattle, Washington
| | - Joachim H Ix
- Division of Nephrology and Hypertension, Department of Medicine, University of California-San Diego, San Diego, California
| | - Mark J Sarnak
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts
| | - Mary Cushman
- Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Eugene P Rhee
- Division of Nephrology, Department of Medicine, Massachusetts General Hospital and Harvard University, Boston, Massachusetts
| | - Paul L Kimmel
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Ramachandran S Vasan
- Departments of Medicine and Epidemiology, School of Medicine and School of Public Health, Boston University, Boston, Massachusetts
| | - Sarah J Schrauben
- Renal Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Harold I Feldman
- Renal Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jesse C Seegmiller
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Henri Brunengraber
- Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Thomas H Hostetter
- Division of Nephrology, Department of Internal Medicine, University Hospitals Cleveland, School of Medicine, Case Western Reserve University, Cleveland, Ohio; Division of Nephrology, Department of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Jeffrey R Schelling
- Division of Nephrology, Department of Internal Medicine, MetroHealth Campus, School of Medicine, Case Western Reserve University, Cleveland, Ohio; Department of Physiology and Biophysics, School of Medicine, Case Western Reserve University, Cleveland, Ohio.
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12
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Serum Biomarkers for Chronic Renal Failure Screening and Mechanistic Understanding: A Global LC-MS-Based Metabolomics Research. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:7450977. [PMID: 35942381 PMCID: PMC9356786 DOI: 10.1155/2022/7450977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 06/14/2022] [Accepted: 07/01/2022] [Indexed: 11/17/2022]
Abstract
Chronic kidney disease, including renal failure (RF), is a global public health problem. The clinical diagnosis mainly depends on the change of estimated glomerular filtration rate, which usually lags behind disease progression and likely has limited clinical utility for the early detection of this health problem. Now, we employed Q-Exactive HFX Orbitrap LC-MS/MS based metabolomics to reveal the metabolic profile and potential biomarkers for RF screening. 27 RF patients and 27 healthy controls were included as the testing groups, and comparative analysis of results using different techniques, such as multivariate pattern recognition and univariate statistical analysis, was applied to screen and elucidate the differential metabolites. The dot plots and receiver operating characteristics curves of identified different metabolites were established to discover the potential biomarkers of RF. The results exhibited a clear separation between the two groups, and a total of 216 different metabolites corresponding to 13 metabolic pathways were discovered to be associated with RF; and 44 metabolites showed high levels of sensitivity and specificity under curve values of close to 1, thus might be used as serum biomarkers for RF. In summary, for the first time, our untargeted metabolomics study revealed the distinct metabolic profile of RF, and 44 metabolites with high sensitivity and specificity were discovered, 3 of which have been reported and were consistent with our observations. The other metabolites were first reported by us. Our findings might provide a feasible diagnostic tool for identifying populations at risk for RF through detection of serum metabolites.
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13
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Ephraim E, Brockman JA, Jewell DE. A Diet Supplemented with Polyphenols, Prebiotics and Omega-3 Fatty Acids Modulates the Intestinal Microbiota and Improves the Profile of Metabolites Linked with Anxiety in Dogs. BIOLOGY 2022; 11:biology11070976. [PMID: 36101356 PMCID: PMC9312346 DOI: 10.3390/biology11070976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/20/2022] [Accepted: 06/27/2022] [Indexed: 11/23/2022]
Abstract
Simple Summary This study used a nutrition-based approach to examine the effects of foods supplemented with fish oil and a polyphenol blend (citrus pulp, carrot, and spinach) with or without added tomato pomace on anxiety-related biomarkers in dogs. First, all dogs consumed the same initial food, then either the control or test (with tomato pomace) foods, then the washout food, then switched over to the test or control foods, each for 30-day periods. Many more changes in plasma and fecal metabolites were observed when comparing the washout food with the control or test foods than when the control and test foods were compared. Plasma levels of several metabolites that were previously associated with anxiety disorders, including 4-ethylphenyl sulfate, were decreased with the control or test foods compared with the washout food. In addition, bacterial genera that are decreased in the feces of those with anxiety-like disorders were increased following the consumption of the control or test foods. Overall, these data indicate that foods supplemented with omega-3 fatty acids and selected fiber and polyphenol sources lead to beneficial changes in anxiety-related metabolites and gut bacteria. Abstract A nutrition-based approach was utilized to examine the effects of fish oil and a polyphenol blend (with or without tomato pomace) on the fecal microbiota and plasma/fecal metabolomes. Forty dogs, aged 5–14 years, were fed a washout food, then randomized to consume a control (fish oil and polyphenol blend without tomato pomace) or test (fish oil and polyphenol blend with tomato pomace) food, then the washout food, and crossed over to consume the test or control food; each for 30 days. Several metabolites differed when comparing consumption of the washout with either the control or test foods, but few changed significantly between the test and control foods. Plasma levels of 4-ethylphenyl sulfate (4-EPS), a metabolite associated with anxiety disorders, demonstrated the largest decrease between the washout food and the control/test foods. Plasma 4-EPS levels were also significantly lower after dogs ate the test food compared with the control food. Other plasma metabolites linked with anxiety disorders were decreased following consumption of the control/test foods. Significant increases in Blautia, Parabacteroides, and Odoribacter in the fecal microbiota correlated with decreases in 4-EPS when dogs ate the control/test foods. These data indicate that foods supplemented with polyphenols and omega-3 fatty acids can modulate the gut microbiota to improve the profile of anxiety-linked metabolites.
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Affiliation(s)
- Eden Ephraim
- Pet Nutrition Center, Hill’s Pet Nutrition, Topeka, KS 66617, USA;
- Correspondence:
| | | | - Dennis E. Jewell
- Department of Grain Science and Industry, Kansas State University, Manhattan, KS 66506, USA;
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14
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Dewulf JP, Martin M, Marie S, Oguz F, Belkhir L, De Greef J, Yombi JC, Wittebole X, Laterre PF, Jadoul M, Gatto L, Bommer GT, Morelle J. Urine metabolomics links dysregulation of the tryptophan-kynurenine pathway to inflammation and severity of COVID-19. Sci Rep 2022; 12:9959. [PMID: 35705608 PMCID: PMC9198612 DOI: 10.1038/s41598-022-14292-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 06/03/2022] [Indexed: 12/15/2022] Open
Abstract
SARS-CoV-2 causes major disturbances in serum metabolite levels, associated with severity of the immune response. Despite the numerous advantages of urine for biomarker discovery, the potential association between urine metabolites and disease severity has not been investigated in coronavirus disease 2019 (COVID-19). In a proof-of-concept study, we performed quantitative urine metabolomics in patients hospitalized with COVID-19 and controls using LC-MS/MS. We assessed whether metabolites alterations were associated with COVID-19, disease severity, and inflammation. The study included 56 patients hospitalized with COVID-19 (26 non-critical and 30 critical disease); 16 healthy controls; and 3 controls with proximal tubule dysfunction unrelated to SARS-CoV-2. Metabolomic profiling revealed a major urinary increase of tryptophan metabolites kynurenine (P < 0.001), 3-hydroxykynurenine (P < 0.001) and 3-hydroxyanthranilate (P < 0.001) in SARS-CoV-2 infected patients. Urine levels of kynurenines were associated with disease severity and systemic inflammation (kynurenine, r 0.43, P = 0.001; 3-hydroxykynurenine, r 0.44, P < 0.001). Increased urinary levels of neutral amino acids and imino acid proline were also common in COVID-19, suggesting specific transport defects. Urine metabolomics identified major alterations in the tryptophan-kynurenine pathway, consistent with changes in host metabolism during SARS-CoV-2 infection. The association between increased urinary levels of kynurenines, inflammation and COVID-19 severity supports further evaluation of these easily available biomarkers.
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Affiliation(s)
- Joseph P Dewulf
- Laboratory of Inherited Metabolic Diseases/Biochemical Genetics, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium. .,Biochemistry, de Duve Institute, UCLouvain, Brussels, Belgium.
| | - Manon Martin
- Computational Biology and Bioinformatics Unit (CBIO), de Duve Institute, UCLouvain, Brussels, Belgium
| | - Sandrine Marie
- Laboratory of Inherited Metabolic Diseases/Biochemical Genetics, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
| | - Fabie Oguz
- Division of Nephrology, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
| | - Leila Belkhir
- Division of Infectious Diseases, Cliniques universitaires Saint-Luc, Brussels, Belgium.,Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Julien De Greef
- Division of Infectious Diseases, Cliniques universitaires Saint-Luc, Brussels, Belgium.,Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Jean Cyr Yombi
- Division of Infectious Diseases, Cliniques universitaires Saint-Luc, Brussels, Belgium.,Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Xavier Wittebole
- Department of Intensive Care Medicine, Cliniques universitaires Saint-Luc, Brussels, Belgium.,Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Pierre-François Laterre
- Department of Intensive Care Medicine, Cliniques universitaires Saint-Luc, Brussels, Belgium.,Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Michel Jadoul
- Division of Nephrology, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium.,Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Laurent Gatto
- Computational Biology and Bioinformatics Unit (CBIO), de Duve Institute, UCLouvain, Brussels, Belgium
| | - Guido T Bommer
- Biochemistry, de Duve Institute, UCLouvain, Brussels, Belgium
| | - Johann Morelle
- Division of Nephrology, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium. .,Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium.
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15
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Hu JR, Myint L, Levey AS, Coresh J, Inker LA, Grams ME, Guallar E, Hansen KD, Rhee EP, Shafi T. A metabolomics approach identified toxins associated with uremic symptoms in advanced chronic kidney disease. Kidney Int 2022; 101:369-378. [PMID: 34843755 PMCID: PMC8792216 DOI: 10.1016/j.kint.2021.10.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 09/27/2021] [Accepted: 10/01/2021] [Indexed: 02/03/2023]
Abstract
Uremic symptoms are common in patients with advanced chronic kidney disease, but the toxins that cause these symptoms are unknown. To evaluate this, we performed a cross-sectional study of the 12 month post-randomization follow-up visit of Modification of Diet in Renal Disease (MDRD) participants reporting uremic symptoms who also had available stored serum. We quantified 1,163 metabolites by liquid chromatography-tandem mass spectrometry. For each uremic symptom, we calculated a score as the severity multiplied by the number of days the symptom was experienced. We analyzed the associations of the individual symptom scores with metabolites using linear models with empirical Bayesian inference, adjusted for multiple comparisons. Among 695 participants, the mean measured glomerular filtration rate (mGFR) was 28 mL/min/1.73 m2. Uremic symptoms were more common in the subgroup of 214 patients with an mGFR under 20 mL/min/1.73 m2 (mGFR under 20 subgroup) than in the full group. For all metabolites with significant associations, the direction of the association was concordant in the full group and the subgroup. For gastrointestinal symptoms (bad taste, loss of appetite, nausea, and vomiting), eleven metabolites were associated with symptoms. For neurologic symptoms (decreased alertness, falling asleep during the day, forgetfulness, lack of pep and energy, and tiring easily/weakness), seven metabolites were associated with symptoms. Associations were consistent across sensitivity analyses. Thus, our proof-of-principle study demonstrates the potential for metabolomics to understand metabolic pathways associated with uremic symptoms. Larger, prospective studies with external validation are needed.
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Affiliation(s)
- Jiun-Ruey Hu
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| | - Leslie Myint
- Department of Mathematics, Statistics, and Computer Science, Macalester College, St. Paul, MN
| | | | - Josef Coresh
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Morgan E. Grams
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University School of Medicine, Baltimore, MD,Division of Nephrology, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Eliseo Guallar
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kasper D. Hansen
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Eugene P. Rhee
- Division of Nephrology, Massachussetts General Hospital, Boston, MA
| | - Tariq Shafi
- Division of Nephrology, University of Mississippi Medical Center, Jackson, MS
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16
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Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease. Nat Rev Nephrol 2022; 18:38-55. [PMID: 34616096 PMCID: PMC9146017 DOI: 10.1038/s41581-021-00488-2] [Citation(s) in RCA: 59] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2021] [Indexed: 01/03/2023]
Abstract
Dyslipidaemia is a hallmark of chronic kidney disease (CKD). The severity of dyslipidaemia not only correlates with CKD stage but is also associated with CKD-associated cardiovascular disease and mortality. Understanding how lipids are dysregulated in CKD is, however, challenging owing to the incredible diversity of lipid structures. CKD-associated dyslipidaemia occurs as a consequence of complex interactions between genetic, environmental and kidney-specific factors, which to understand, requires an appreciation of perturbations in the underlying network of genes, proteins and lipids. Modern lipidomic technologies attempt to systematically identify and quantify lipid species from biological systems. The rapid development of a variety of analytical platforms based on mass spectrometry has enabled the identification of complex lipids at great precision and depth. Insights from lipidomics studies to date suggest that the overall architecture of free fatty acid partitioning between fatty acid oxidation and complex lipid fatty acid composition is an important driver of CKD progression. Available evidence suggests that CKD progression is associated with metabolic inflexibility, reflecting a diminished capacity to utilize free fatty acids through β-oxidation, and resulting in the diversion of accumulating fatty acids to complex lipids such as triglycerides. This effect is reversed with interventions that improve kidney health, suggesting that targeting of lipid abnormalities could be beneficial in preventing CKD progression.
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17
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Rosner MH, Reis T, Husain-Syed F, Vanholder R, Hutchison C, Stenvinkel P, Blankestijn PJ, Cozzolino M, Juillard L, Kashani K, Kaushik M, Kawanishi H, Massy Z, Sirich TL, Zuo L, Ronco C. Classification of Uremic Toxins and Their Role in Kidney Failure. Clin J Am Soc Nephrol 2021; 16:1918-1928. [PMID: 34233920 PMCID: PMC8729494 DOI: 10.2215/cjn.02660221] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Advances in our understanding of uremic retention solutes, and improvements in hemodialysis membranes and other techniques designed to remove uremic retention solutes, offer opportunities to readdress the definition and classification of uremic toxins. A consensus conference was held to develop recommendations for an updated definition and classification scheme on the basis of a holistic approach that incorporates physicochemical characteristics and dialytic removal patterns of uremic retention solutes and their linkage to clinical symptoms and outcomes. The major focus is on the removal of uremic retention solutes by hemodialysis. The identification of representative biomarkers for different classes of uremic retention solutes and their correlation to clinical symptoms and outcomes may facilitate personalized and targeted dialysis prescriptions to improve quality of life, morbidity, and mortality. Recommendations for areas of future research were also formulated, aimed at improving understanding of uremic solutes and improving outcomes in patients with CKD.
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Affiliation(s)
- Mitchell H. Rosner
- Division of Nephrology, University of Virginia Health System, Charlottesville, Virginia
| | - Thiago Reis
- Department of Nephrology, University of Brazil, Brasília, Brazil,National Academy of Medicine, Rio de Janeiro, Brazil
| | - Faeq Husain-Syed
- Department of Internal Medicine II, Justus-Liebig-University Giessen, Giessen, Germany
| | - Raymond Vanholder
- Department of Internal Medicine and Pediatrics, University Hospital, Ghent, Belgium
| | - Colin Hutchison
- Faculty of Medicine, University of Queensland, Herston, Australia,Department of Medicine, Hawke's Bay District Health Board, Hastings, New Zealand
| | - Peter Stenvinkel
- Renal Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Peter J. Blankestijn
- Department of Nephrology and Hypertension, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Mario Cozzolino
- Renal Division, Università degli Studi di Milano, Milan, Italy
| | - Laurent Juillard
- University of Lyon, Villeurbanne, France,Hôpital E. Herriot, Lyon, France
| | - Kianoush Kashani
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Manish Kaushik
- Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Hideki Kawanishi
- Department of Artificial Organs, Tsuchiya General Hospital, Hiroshima, Japan
| | - Ziad Massy
- INSERM U1018, Villejuif, France,Service de Néphrologie et Dialyse, Hôpital Universitaire Ambroise Paré, Boulogne-Billancourt, France
| | - Tammy Lisa Sirich
- Nephrology Section, Veterans Affairs Palo Alto Health Care System, Palo Alto, California,Division of Nephrology, Stanford University School of Medicine, Stanford, California
| | - Li Zuo
- Department of Nephrology, Peking University People's Hospital, Beijing, China
| | - Claudio Ronco
- Department of Medicine, University of Padova, Padova, Italy,Department of Nephrology, Dialysis and Transplantation, International Renal Research Institute of Vicenza, Vicenza, Italy
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18
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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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19
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Miao H, Wu XQ, Wang YN, Chen DQ, Chen L, Vaziri ND, Zhuang S, Guo Y, Su W, Ma SX, Zhang HQ, Shang YQ, Yu XY, Zhao YL, Mao JR, Gao M, Zhang JH, Zhao J, Zhang Y, Zhang L, Zhao YY, Cao G. 1-Hydroxypyrene mediates renal fibrosis through aryl hydrocarbon receptor signalling pathway. Br J Pharmacol 2021; 179:103-124. [PMID: 34625952 DOI: 10.1111/bph.15705] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 09/08/2021] [Accepted: 09/13/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND AND PURPOSE In chronic kidney disease (CKD), patients inevitably reach end-stage renal disease and require renal transplant. Evidence suggests that CKD is associated with metabolite disorders. However, the molecular pathways targeted by metabolites remain enigmatic. Here, we describe roles of 1-hydroxypyrene in mediating renal fibrosis. EXPERIMENTAL APPROACH We analysed 5406 urine and serum samples from patients with Stage 1-5 CKD using metabolomics, and 1-hydroxypyrene was identified and validated using longitudinal and drug intervention cohorts as well as 5/6 nephrectomised and adenine-induced rats. KEY RESULTS We identified correlations between the urine and serum levels of 1-hydroxypyrene and the estimated GFR in patients with CKD onset and progression. Moreover, increased 1-hydroxypyrene levels in serum and kidney tissues correlated with decreased renal function in two rat models. Up-regulated mRNA expression of aryl hydrocarbon receptor and its target genes, including CYP1A1, CYP1A2 and CYP1B1, were observed in patients and rats with progressive CKD. Further we showed up-regulated mRNA expression of aryl hydrocarbon receptor and its three target genes, plus up-regulated nuclear aryl hydrocarbon receptor protein levels in mice and HK-2 cells treated with 1-hydroxypyrene, which caused accumulation of extracellular matrix components. Treatment with aryl hydrocarbon receptor short hairpin RNA or flavonoids inhibited mRNA expression of aryl hydrocarbon receptor and its target genes in 1-hydroxypyrene-induced HK-2 cells and mice. CONCLUSION AND IMPLICATIONS Metabolite 1-hydroxypyrene was demonstrated to mediate renal fibrosis through activation of the aryl hydrocarbon receptor signalling pathway. Targeting aryl hydrocarbon receptor may be an alternative therapeutic strategy for CKD progression.
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Affiliation(s)
- Hua Miao
- Faculty of Life Science and Medicine, Northwest University, Xi'an, China
| | - Xia-Qing Wu
- Faculty of Life Science and Medicine, Northwest University, Xi'an, China
| | - Yan-Ni Wang
- Faculty of Life Science and Medicine, Northwest University, Xi'an, China
| | - Dan-Qian Chen
- Faculty of Life Science and Medicine, Northwest University, Xi'an, China
| | - Lin Chen
- Faculty of Life Science and Medicine, Northwest University, Xi'an, China
| | - Nosratola D Vaziri
- Division of Nephrology and Hypertension, School of Medicine, University of California Irvine, Irvine, California, USA
| | - Shougang Zhuang
- Department of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.,Rhode Island Hospital and Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Yan Guo
- Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Wei Su
- Department of Nephrology, Baoji Central Hospital, Baoji, China
| | - Shi-Xing Ma
- Department of Nephrology, Baoji Central Hospital, Baoji, China
| | - Huan-Qiao Zhang
- Department of Nephrology, Baoji Central Hospital, Baoji, China
| | - You-Quan Shang
- Department of Nephrology, Baoji Central Hospital, Baoji, China
| | - Xiao-Yong Yu
- Department of Nephrology, Shaanxi Traditional Chinese Medicine Hospital, Xi'an, China
| | - Yan-Long Zhao
- Department of Nephrology, Shaanxi Traditional Chinese Medicine Hospital, Xi'an, China
| | - Jia-Rong Mao
- Department of Nephrology, Shaanxi Traditional Chinese Medicine Hospital, Xi'an, China
| | - Ming Gao
- Department of Nephrology, Xi'an No. 4 Hospital, Xi'an, China
| | - Jin-Hua Zhang
- Department of Nephrology, Xi'an No. 4 Hospital, Xi'an, China
| | - Jin Zhao
- Department of Nephrology, Xi'an No. 4 Hospital, Xi'an, China
| | - Yuan Zhang
- Department of Nephrology, Xi'an No. 4 Hospital, Xi'an, China
| | - Li Zhang
- Department of Nephrology, Xi'an No. 4 Hospital, Xi'an, China
| | - Ying-Yong Zhao
- Faculty of Life Science and Medicine, Northwest University, Xi'an, China
| | - Gang Cao
- School of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, China
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20
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Sampson M, Faria N, Powell JJ. Efficacy and safety of PT20, an iron-based phosphate binder, for the treatment of hyperphosphataemia: a randomized, double-blind, placebo-controlled, dose-ranging, Phase IIb study in patients with haemodialysis-dependent chronic kidney disease. Nephrol Dial Transplant 2021; 36:1399-1407. [PMID: 32651955 PMCID: PMC8311578 DOI: 10.1093/ndt/gfaa116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Hyperphosphataemia is a common complication of chronic kidney disease (CKD). PT20 (ferric iron oxide adipate) is an investigational molecule engineered to offer enhanced phosphate-binding properties relative to other phosphate binders. METHODS In this double-blind, parallel-group, placebo-controlled, dose-ranging study (ClinicalTrials.gov identifier NCT02151643), the efficacy and safety of 28 days of oral PT20 treatment were evaluated in patients with dialysis-dependent CKD. Participants were randomly assigned in an 8:8:8:13:13 ratio to receive PT20 (400, 800, 1600 or 3200 mg) or placebo three times daily. RESULTS Among 153 participants, 129 completed treatment [7 discontinued because of adverse events (AEs), 2 because of hyperphosphataemia and 15 for other reasons]. PT20 treatment for 28 days resulted in a statistically significant and dose-dependent reduction in serum phosphate concentration. There were no statistically significant effects of PT20 treatment on changes in haemoglobin or ferritin concentrations or transferrin saturation between Days 1 and 29. The incidence of treatment-emergent AEs was broadly similar across the PT20 and placebo groups (42-59% versus 44%). The most common PT20 treatment-related AEs were gastrointestinal, primarily diarrhoea (13-18%) and discoloured faeces (3-23%). No serious AEs were considered to be related to study treatment. There were no clinically significant changes in laboratory results reflecting acid/base status or increases in ferritin that could indicate the absorption of components of PT20. CONCLUSIONS In this first study investigating the efficacy and safety of PT20 in patients with hyperphosphataemia and dialysis-dependent CKD, PT20 significantly lowered serum phosphate concentrations and was generally well tolerated.
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Affiliation(s)
| | - Nuno Faria
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
- Medical Research Council Elsie Widdowson Laboratory, Cambridge, UK
| | - Jonathan J Powell
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
- Medical Research Council Elsie Widdowson Laboratory, Cambridge, UK
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21
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Priego AR, Parra EG, Mas S, Morgado-Pascual JL, Ruiz-Ortega M, Rayego-Mateos S. Bisphenol A Modulates Autophagy and Exacerbates Chronic Kidney Damage in Mice. Int J Mol Sci 2021; 22:7189. [PMID: 34281243 PMCID: PMC8268806 DOI: 10.3390/ijms22137189] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Bisphenol A (BPA) is a ubiquitous environmental toxin that accumulates in chronic kidney disease (CKD). Our aim was to explore the effect of chronic exposition of BPA in healthy and injured kidney investigating potential mechanisms involved. METHODS In C57Bl/6 mice, administration of BPA (120 mg/kg/day, i.p for 5 days/week) was done for 2 and 5 weeks. To study BPA effect on CKD, a model of subtotal nephrectomy (SNX) combined with BPA administration for 5 weeks was employed. In vitro studies were done in human proximal tubular epithelial cells (HK-2 line). RESULTS Chronic BPA administration to healthy mice induces inflammatory infiltration in the kidney, tubular injury and renal fibrosis (assessed by increased collagen deposition). Moreover, in SNX mice BPA exposure exacerbates renal lesions, including overexpression of the tubular damage biomarker Hepatitis A virus cellular receptor 1 (Havcr-1/KIM-1). BPA upregulated several proinflammatory genes and increased the antioxidant response [Nuclear factor erythroid 2-related factor 2 (Nrf2), Heme Oxygenase-1 (Ho-1) and NAD(P)H dehydrogenase quinone 1 (Nqo-1)] both in healthy and SNX mice. The autophagy process was modulated by BPA, through elevated autophagy-related gene 5 (Atg5), autophagy-related gene 7 (Atg7), Microtubule-associated proteins 1A/1B light chain 3B (Map1lc3b/Lc3b) and Beclin-1 gene levels and blockaded the autophagosome maturation and flux (p62 levels). This autophagy deregulation was confirmed in vitro. CONCLUSIONS BPA deregulates autophagy flux and redox protective mechanisms, suggesting a potential mechanism of BPA deleterious effects in the kidney.
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Affiliation(s)
- Alberto Ruiz Priego
- Division of Nephrology and Hypertension, IIS-Fundación Jiménez Díaz-UAM/IRSIN, 28040 Madrid, Spain; (A.R.P.); (S.M.)
| | - Emilio González Parra
- Division of Nephrology and Hypertension, IIS-Fundación Jiménez Díaz-UAM/IRSIN, 28040 Madrid, Spain; (A.R.P.); (S.M.)
| | - Sebastián Mas
- Division of Nephrology and Hypertension, IIS-Fundación Jiménez Díaz-UAM/IRSIN, 28040 Madrid, Spain; (A.R.P.); (S.M.)
| | - José Luis Morgado-Pascual
- Cellular Biology, Physiology and Immunology Department, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), University of Cordoba, 14004 Cordoba, Spain;
| | - Marta Ruiz-Ortega
- Molecular and Cellular Biology in Renal and Vascular Pathology, IIS-Fundación Jiménez Díaz, Universidad Autónoma Madrid Faculty of Medicine, 28040 Madrid, Spain;
| | - Sandra Rayego-Mateos
- Molecular and Cellular Biology in Renal and Vascular Pathology, IIS-Fundación Jiménez Díaz, Universidad Autónoma Madrid Faculty of Medicine, 28040 Madrid, Spain;
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22
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Dong J, Li Y, Zheng F, Chen W, Huang S, Zhou X, Wang K, Cai W, Liu H, Yin L, Li Q, Tang D, Dai Y. Co-occurrence of Protein Crotonylation and 2-Hydroxyisobutyrylation in the Proteome of End-Stage Renal Disease. ACS OMEGA 2021; 6:15782-15793. [PMID: 34179622 PMCID: PMC8223210 DOI: 10.1021/acsomega.1c01161] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 05/25/2021] [Indexed: 05/16/2023]
Abstract
End-stage renal disease (ESRD) is gradually becoming a major public healthcare burden worldwide. Post-translational modifications carrying epigenetic information play a crucial role in the pathogenesis of many chronic diseases. We performed lysine crotonylation (KCr) and lysine 2-hydroxyisobutyrylation (Khib) analyses with liquid chromatography-tandem mass spectrometry to obtain a comprehensive profile and reveal the specific pathogenesis of peripheral blood mononuclear cells in ESRD patients. 218 overlap proteins among differentially modified proteins (DMPs) of both 2-hydroxyisobutyrylation and crotonylation were identified. KEGG analysis enriched pathways of protein processing in endoplasmic reticulum (ER) and glycolysis/gluconeogenesis which is closely related with cell apoptosis. In Bip, a master regulator in the ER, eight sites were identified as having both KCr and Khib modifications. Five differentially KCr modification sites and three differentially Khib-modified sites were detected between ESRD patients and normal controls. Besides Bip, other proteins (GRP94, CNX, CRT, PDIs, GlcII, ERP57, Bap31, Hsp70, and Hsp90) happened both KCr and Khib modifications. Nine DMPs having both KCr and Khib modifications were related to the glycolysis/gluconeogenesis pathway containing two key regulatory enzymes of hexokinase-1 and pyruvate kinase. The two most abundant dual modification proteins were ENO1 and PGK1 with 15 sites and 8 sites, respectively. Lysine residue K228 with both KCr and Khib modifications in ENO1 was on its surface and made it accessible for p300 mediating dynamic modifications. Overall, we hypothesize that KCr and Khib comodifications may influence the number of immunocytes and further induce immune senescence in ESRD patients through the glycolysis/gluconeogenesis pathway and protein processing in the ER process, which may be a potential therapeutic direction in the future.
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Affiliation(s)
- Jingjing Dong
- Institute
of Nephrology and Blood Purification, The First Affiliated Hospital
of Jinan University, Jinan University, Guangzhou 510632, China
- Clinical
Medical Research Center, Guangdong Provincial Engineering Research
Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering
Research Center of Autoimmune Disease, The Second Clinical Medical
College of Jinan University, The First Affiliated Hospital of Southern
University of Science and Technology, Shenzhen
People’s Hospital, Shenzhen, Guangdong 518020, China
| | - Yixi Li
- Institute
of Nephrology and Blood Purification, The First Affiliated Hospital
of Jinan University, Jinan University, Guangzhou 510632, China
- Clinical
Medical Research Center, Guangdong Provincial Engineering Research
Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering
Research Center of Autoimmune Disease, The Second Clinical Medical
College of Jinan University, The First Affiliated Hospital of Southern
University of Science and Technology, Shenzhen
People’s Hospital, Shenzhen, Guangdong 518020, China
| | - Fengping Zheng
- Clinical
Medical Research Center, Guangdong Provincial Engineering Research
Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering
Research Center of Autoimmune Disease, The Second Clinical Medical
College of Jinan University, The First Affiliated Hospital of Southern
University of Science and Technology, Shenzhen
People’s Hospital, Shenzhen, Guangdong 518020, China
| | - Wenbiao Chen
- Clinical
Medical Research Center, Guangdong Provincial Engineering Research
Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering
Research Center of Autoimmune Disease, The Second Clinical Medical
College of Jinan University, The First Affiliated Hospital of Southern
University of Science and Technology, Shenzhen
People’s Hospital, Shenzhen, Guangdong 518020, China
| | - Shaoying Huang
- Clinical
Medical Research Center, Guangdong Provincial Engineering Research
Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering
Research Center of Autoimmune Disease, The Second Clinical Medical
College of Jinan University, The First Affiliated Hospital of Southern
University of Science and Technology, Shenzhen
People’s Hospital, Shenzhen, Guangdong 518020, China
| | - Xianqing Zhou
- Guangxi
Key Laboratory of Metabolic Diseases Research, Affiliated No. 924
Hospital, Southern Medical University, Guilin 541002, China
| | - Kang Wang
- Clinical
Medical Research Center, Guangdong Provincial Engineering Research
Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering
Research Center of Autoimmune Disease, The Second Clinical Medical
College of Jinan University, The First Affiliated Hospital of Southern
University of Science and Technology, Shenzhen
People’s Hospital, Shenzhen, Guangdong 518020, China
| | - Wanxia Cai
- Clinical
Medical Research Center, Guangdong Provincial Engineering Research
Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering
Research Center of Autoimmune Disease, The Second Clinical Medical
College of Jinan University, The First Affiliated Hospital of Southern
University of Science and Technology, Shenzhen
People’s Hospital, Shenzhen, Guangdong 518020, China
| | - HaiPing Liu
- The
Second People’s Hospital of Lianping County, Heyuan517139, Guangdong , China
| | - Lianghong Yin
- Institute
of Nephrology and Blood Purification, The First Affiliated Hospital
of Jinan University, Jinan University, Guangzhou 510632, China
| | - Qiang Li
- Dongguan
Hospital of Guangzhou University of Traditional Chinese Medicine, Dongguan 523000, Guangdong, China
- . Phone: +86 0769 26385192
| | - Donge Tang
- Clinical
Medical Research Center, Guangdong Provincial Engineering Research
Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering
Research Center of Autoimmune Disease, The Second Clinical Medical
College of Jinan University, The First Affiliated Hospital of Southern
University of Science and Technology, Shenzhen
People’s Hospital, Shenzhen, Guangdong 518020, China
- . Phone: +86 0755 22942106
| | - Yong Dai
- Clinical
Medical Research Center, Guangdong Provincial Engineering Research
Center of Autoimmune Disease Precision Medicine, Shenzhen Engineering
Research Center of Autoimmune Disease, The Second Clinical Medical
College of Jinan University, The First Affiliated Hospital of Southern
University of Science and Technology, Shenzhen
People’s Hospital, Shenzhen, Guangdong 518020, China
- Guangxi
Key Laboratory of Metabolic Diseases Research, Affiliated No. 924
Hospital, Southern Medical University, Guilin 541002, China
- . Phone: +86 0755 22942780
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23
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Meyer TW, Hostetter TH. Why Is the GFR So High?: Implications for the Treatment of Kidney Failure. Clin J Am Soc Nephrol 2021; 16:980-987. [PMID: 33303581 PMCID: PMC8216625 DOI: 10.2215/cjn.14300920] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The high GFR in vertebrates obligates large energy expenditure. Homer Smith's teleologic argument that this high GFR was needed to excrete water as vertebrates evolved in dilute seas is outdated. The GFR is proportional to the metabolic rate among vertebrate species and higher in warm-blooded mammals and birds than in cold-blooded fish, amphibians, and reptiles. The kidney clearance of some solutes is raised above the GFR by tubular secretion, and we presume secretion evolved to eliminate particularly toxic compounds. In this regard, high GFRs may provide a fluid stream into which toxic solutes can be readily secreted. Alternatively, the high GFR may be required to clear solutes that are too large or too varied to be secreted, especially bioactive small proteins and peptides. These considerations have potentially important implications for the understanding and treatment of kidney failure.
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Affiliation(s)
- Timothy W. Meyer
- Departments of Medicine, Veterans Affairs Palo Alto Health Care System and Stanford University, Palo Alto, California
| | - Thomas H. Hostetter
- Department of Medicine, University of North Carolina, Chapel Hill, North Carolina,University of North Carolina Kidney Center, University of North Carolina, Chapel Hill, North Carolina
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24
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Lindenmeyer MT, Alakwaa F, Rose M, Kretzler M. Perspectives in systems nephrology. Cell Tissue Res 2021; 385:475-488. [PMID: 34027630 PMCID: PMC8523456 DOI: 10.1007/s00441-021-03470-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 04/28/2021] [Indexed: 12/19/2022]
Abstract
Chronic kidney diseases (CKD) are a major health problem affecting approximately 10% of the world’s population and posing increasing challenges to the healthcare system. While CKD encompasses a broad spectrum of pathological processes and diverse etiologies, the classification of kidney disease is currently based on clinical findings or histopathological categorizations. This descriptive classification is agnostic towards the underlying disease mechanisms and has limited progress towards the ability to predict disease prognosis and treatment responses. To gain better insight into the complex and heterogeneous disease pathophysiology of CKD, a systems biology approach can be transformative. Rather than examining one factor or pathway at a time, as in the reductionist approach, with this strategy a broad spectrum of information is integrated, including comprehensive multi-omics data, clinical phenotypic information, and clinicopathological parameters. In recent years, rapid advances in mathematical, statistical, computational, and artificial intelligence methods enable the mapping of diverse big data sets. This holistic approach aims to identify the molecular basis of CKD subtypes as well as individual determinants of disease manifestation in a given patient. The emerging mechanism-based patient stratification and disease classification will lead to improved prognostic and predictive diagnostics and the discovery of novel molecular disease-specific therapies.
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Affiliation(s)
- Maja T Lindenmeyer
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Fadhl Alakwaa
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Michael Rose
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
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25
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Lee S, Sirich TL, Meyer TW. Improving Clearance for Renal Replacement Therapy. KIDNEY360 2021; 2:1188-1195. [PMID: 35355887 PMCID: PMC8786098 DOI: 10.34067/kid.0002922021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The adequacy of hemodialysis is now assessed by measuring the removal of a single solute, urea. The urea clearance provided by current dialysis methods is a large fraction of the blood flow through the dialyzer, and, therefore, cannot be increased much further. However, other solutes, which are less effectively cleared than urea, may contribute more to the residual uremic illness suffered by patients on hemodialysis. Here, we review a variety of methods that could be used to increase the clearance of such nonurea solutes. New clinical studies will be required to test the extent to which increasing solute clearances improves patients' health.
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Affiliation(s)
- Seolhyun Lee
- Department of Medicine, Stanford University, Palo Alto, California,Department of Medicine, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California
| | - Tammy L. Sirich
- Department of Medicine, Stanford University, Palo Alto, California,Department of Medicine, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California
| | - Timothy W. Meyer
- Department of Medicine, Stanford University, Palo Alto, California,Department of Medicine, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California
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26
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CE-MS-Based Identification of Uremic Solutes Specific to Hemodialysis Patients. Toxins (Basel) 2021; 13:toxins13050324. [PMID: 33946481 PMCID: PMC8147146 DOI: 10.3390/toxins13050324] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 01/06/2023] Open
Abstract
Uremic toxins are suggested to be involved in the pathophysiology of hemodialysis (HD) patients. However, the profile of uremic solutes in HD patients has not been fully elucidated. In this study using capillary electrophoresis mass spectrometry (CE-MS), we comprehensively quantified the serum concentrations of 122 ionic solutes before and after HD in 11 patients. In addition, we compared the results with those in non-HD patients with chronic kidney disease (CKD) to identify HD patient-specific solutes. We identified 38 solutes whose concentrations were higher in pre-HD than in CKD stage G5. Ten solutes among them did not significantly accumulate in non-HD CKD patients, suggesting that these solutes accumulate specifically in HD patients. We also identified 23 solutes whose concentrations were lower in both pre- and post-HD than in CKD stage G5. The serum levels of 14 solutes among them were not affected by renal function in non-HD patients, suggesting that these solutes tend to be lost specifically in HD patients. Our data demonstrate that HD patients have a markedly different profile of serum uremic solute levels compared to that in non-HD CKD patients. The solutes identified in our study may contribute to the pathophysiology of HD patients.
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27
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Moon S, Tsay JJ, Lampert H, Md Dom ZI, Kostic AD, Smiles A, Niewczas MA. Circulating short and medium chain fatty acids are associated with normoalbuminuria in type 1 diabetes of long duration. Sci Rep 2021; 11:8592. [PMID: 33883567 PMCID: PMC8060327 DOI: 10.1038/s41598-021-87585-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 03/30/2021] [Indexed: 11/08/2022] Open
Abstract
A substantial number of subjects with Type 1 Diabetes (T1D) of long duration never develop albuminuria or renal function impairment, yet the underlying protective mechanisms remain unknown. Therefore, our study included 308 Joslin Kidney Study subjects who had T1D of long duration (median: 24 years), maintained normal renal function and had either normoalbuminuria or a broad range of albuminuria within the 2 years preceding the metabolomic determinations. Serum samples were subjected to global metabolomic profiling. 352 metabolites were detected in at least 80% of the study population. In the logistic analyses adjusted for multiple testing (Bonferroni corrected α = 0.000028), we identified 38 metabolites associated with persistent normoalbuminuria independently from clinical covariates. Protective metabolites were enriched in Medium Chain Fatty Acids (MCFAs) and in Short Chain Fatty Acids (SCFAs) and particularly involved odd-numbered and dicarboxylate Fatty Acids. One quartile change of nonanoate, the top protective MCFA, was associated with high odds of having persistent normoalbuminuria (OR (95% CI) 0.14 (0.09, 0.23); p < 10-12). Multivariable Random Forest analysis concordantly indicated to MCFAs as effective classifiers. Associations of the relevant Fatty Acids with albuminuria seemed to parallel associations with tubular biomarkers. Our findings suggest that MCFAs and SCFAs contribute to the metabolic processes underlying protection against albuminuria development in T1D that are independent from mechanisms associated with changes in renal function.
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Affiliation(s)
- Salina Moon
- Research Division, Joslin Diabetes Center, One Joslin Place, Boston, MA, 02215, USA
| | - John J Tsay
- Research Division, Joslin Diabetes Center, One Joslin Place, Boston, MA, 02215, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Medicine, Veterans Affairs Boston Healthcare System, Boston, MA, USA
| | - Heather Lampert
- Research Division, Joslin Diabetes Center, One Joslin Place, Boston, MA, 02215, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Family Medicine, Brown University, Providence, RI, USA
| | - Zaipul I Md Dom
- Research Division, Joslin Diabetes Center, One Joslin Place, Boston, MA, 02215, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Aleksandar D Kostic
- Research Division, Joslin Diabetes Center, One Joslin Place, Boston, MA, 02215, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
| | - Adam Smiles
- Research Division, Joslin Diabetes Center, One Joslin Place, Boston, MA, 02215, USA
| | - Monika A Niewczas
- Research Division, Joslin Diabetes Center, One Joslin Place, Boston, MA, 02215, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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Zhu S, Zhang F, Shen AW, Sun B, Xia TY, Chen WS, Tao X, Yu SQ. Metabolomics Evaluation of Patients With Stage 5 Chronic Kidney Disease Before Dialysis, Maintenance Hemodialysis, and Peritoneal Dialysis. Front Physiol 2021; 11:630646. [PMID: 33551851 PMCID: PMC7855177 DOI: 10.3389/fphys.2020.630646] [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: 11/18/2020] [Accepted: 12/28/2020] [Indexed: 11/30/2022] Open
Abstract
Objective Current treatment options for patients with stage 5 chronic kidney disease before dialysis (predialysis CKD-5) are determined by individual circumstances, economic factors, and the doctor’s advice. This study aimed to explore the plasma metabolic traits of patients with predialysis CKD-5 compared with maintenance hemodialysis (HD) and peritoneal dialysis (PD) patients, to learn more about the impact of the dialysis process on the blood environment. Methods Our study enrolled 31 predialysis CKD-5 patients, 31 HD patients, and 30 PD patients. Metabolite profiling was performed using a targeted metabolomics platform by applying an ultra-high-performance liquid chromatography-tandem mass spectrometry method, and the subsequent comparisons among all three groups were made to explore metabolic alterations. Results Cysteine metabolism was significantly altered between predialysis CKD-5 patients and both groups of dialysis patients. A disturbance in purine metabolism was the most extensively changed pathway identified between the HD and PD groups. A total of 20 discriminating metabolites with large fluctuations in plasma concentrations were screened from the group comparisons, including 2-keto-D-gluconic acid, kynurenic acid, s-adenosylhomocysteine, L-glutamine, adenosine, and nicotinamide. Conclusion Our study provided a comprehensive metabolomics evaluation among predialysis CKD-5, HD, and PD patients, which described the disturbance of metabolic pathways, discriminating metabolites and their possible biological significances. The identification of specific metabolites related to dialysis therapy might provide insights for the management of advanced CKD stages and inform shared decision-making.
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Affiliation(s)
- Sang Zhu
- Department of Pharmacy, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, Wuxi, China
| | - Feng Zhang
- Department of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Ai-Wen Shen
- Department of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Bo Sun
- Department of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Tian-Yi Xia
- Department of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Wan-Sheng Chen
- Department of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Xia Tao
- Department of Pharmacy, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Sheng-Qiang Yu
- Department of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China
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Wang X, Yang S, Li S, Zhao L, Hao Y, Qin J, Zhang L, Zhang C, Bian W, Zuo L, Gao X, Zhu B, Lei XG, Gu Z, Cui W, Xu X, Li Z, Zhu B, Li Y, Chen S, Guo H, Zhang H, Sun J, Zhang M, Hui Y, Zhang X, Liu X, Sun B, Wang L, Qiu Q, Zhang Y, Li X, Liu W, Xue R, Wu H, Shao D, Li J, Zhou Y, Li S, Yang R, Pedersen OB, Yu Z, Ehrlich SD, Ren F. Aberrant gut microbiota alters host metabolome and impacts renal failure in humans and rodents. Gut 2020; 69:2131-2142. [PMID: 32241904 PMCID: PMC7677483 DOI: 10.1136/gutjnl-2019-319766] [Citation(s) in RCA: 234] [Impact Index Per Article: 58.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 03/02/2020] [Accepted: 03/04/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Patients with renal failure suffer from symptoms caused by uraemic toxins, possibly of gut microbial origin, as deduced from studies in animals. The aim of the study is to characterise relationships between the intestinal microbiome composition, uraemic toxins and renal failure symptoms in human end-stage renal disease (ESRD). DESIGN Characterisation of gut microbiome, serum and faecal metabolome and human phenotypes in a cohort of 223 patients with ESRD and 69 healthy controls. Multidimensional data integration to reveal links between these datasets and the use of chronic kidney disease (CKD) rodent models to test the effects of intestinal microbiome on toxin accumulation and disease severity. RESULTS A group of microbial species enriched in ESRD correlates tightly to patient clinical variables and encode functions involved in toxin and secondary bile acids synthesis; the relative abundance of the microbial functions correlates with the serum or faecal concentrations of these metabolites. Microbiota from patients transplanted to renal injured germ-free mice or antibiotic-treated rats induce higher production of serum uraemic toxins and aggravated renal fibrosis and oxidative stress more than microbiota from controls. Two of the species, Eggerthella lenta and Fusobacterium nucleatum, increase uraemic toxins production and promote renal disease development in a CKD rat model. A probiotic Bifidobacterium animalis decreases abundance of these species, reduces levels of toxins and the severity of the disease in rats. CONCLUSION Aberrant gut microbiota in patients with ESRD sculpts a detrimental metabolome aggravating clinical outcomes, suggesting that the gut microbiota will be a promising target for diminishing uraemic toxicity in those patients. TRIAL REGISTRATION NUMBER This study was registered at ClinicalTrials.gov (NCT03010696).
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Affiliation(s)
- Xifan Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Songtao Yang
- Department of Nephrology, Aerospace Center Hospital, Beijing, China
| | | | - Liang Zhao
- Key Laboratory of Functional Dairy, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Yanling Hao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | | | - Lian Zhang
- Department of Epidemiology, School of Oncology, Beijing University, Beijing, China
| | - Chengying Zhang
- Department of Nephrology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Weijing Bian
- Renal Division, Beijing AnZhen Hospital, Capital Medical University, Beijing, China
| | - Li Zuo
- Department of Nephrology, Peking University People's Hospital, Beijing, China
| | - Xiu Gao
- Department of Nephrology, Peking University Shougang Hospital, Beijing, China
| | - Baoli Zhu
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Xin Gen Lei
- Department of Animal Science, Cornell University, Ithaca, New York, USA
| | - Zhenglong Gu
- Division of Nutritional Sciences, Cornell University, Ithaca, New York, USA
| | - Wei Cui
- Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
| | - Xiping Xu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China,Renal Division, Nanfang Hospital, National Clinical Research Center for Kidney Disease, Southern Medical University, State Key Laboratory for Organ Failure Research, Guangzhou, Guangdong, China
| | | | - Benzhong Zhu
- Beijing Laboratory of Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Yuan Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Shangwu Chen
- Key Laboratory of Functional Dairy, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Huiyuan Guo
- Key Laboratory of Functional Dairy, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Hao Zhang
- Beijing Laboratory of Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Jing Sun
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ming Zhang
- School of Food and Chemical Engineering, Beijing Technology and Business University, Beijing, China
| | - Yan Hui
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Xiaolin Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Xiaoxue Liu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Bowen Sun
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Longjiao Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Qinglu Qiu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Yuchan Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Xingqi Li
- Key Laboratory of Functional Dairy, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Weiqian Liu
- Beijing Laboratory of Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Rui Xue
- Shanghai SLAC Laboratory Animal Co., Ltd, Shanghai Laboratory Animal Center, Shanghai, China
| | - Hong Wu
- Department of Nephrology, Aerospace Center Hospital, Beijing, China
| | - DongHua Shao
- Department of Nephrology, Aerospace Center Hospital, Beijing, China
| | - Junling Li
- Department of Nephrology, Peking University Shougang Hospital, Beijing, China
| | | | | | | | - Oluf Borbye Pedersen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, Kobenhavns Universitet, Kobenhavn, Denmark
| | - Zhengquan Yu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China .,State Key Laboratories for Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Stanislav Dusko Ehrlich
- Metagenopolis, Université Paris-Saclay, INRAE, MGP, 78350, Jouy-en-Josas, France .,Dental Institute, King's College London, London, London, UK
| | - Fazheng Ren
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
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Xu T, Hu C, Xuan Q, Xu G. Recent advances in analytical strategies for mass spectrometry-based lipidomics. Anal Chim Acta 2020; 1137:156-169. [PMID: 33153599 PMCID: PMC7525665 DOI: 10.1016/j.aca.2020.09.060] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/25/2020] [Accepted: 09/28/2020] [Indexed: 12/20/2022]
Abstract
Lipids are vital biological molecules and play multiple roles in cellular function of mammalian organisms such as cellular membrane anchoring, signal transduction, material trafficking and energy storage. Driven by the biological significance of lipids, lipidomics has become an emerging science in the field of omics. Lipidome in biological systems consists of hundreds of thousands of individual lipid molecules that possess complex structures, multiple categories, and diverse physicochemical properties assembled by different combinations of polar headgroups and hydrophobic fatty acyl chains. Such structural complexity poses a huge challenge for comprehensive lipidome analysis. Thanks to the great innovations in chromatographic separation techniques and the continuous advances in mass spectrometric detection tools, analytical strategies for lipidomics have been highly diversified so that the depth and breadth of lipidomics have been greatly enhanced. This review will present the current state of mass spectrometry-based analytical strategies including untargeted, targeted and pseudotargeted lipidomics. Recent typical applications of lipidomics in biomarker discovery, pathogenic mechanism and therapeutic strategy are summarized, and the challenges facing to the field of lipidomics are also discussed.
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Affiliation(s)
- Tianrun Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chunxiu Hu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiuhui Xuan
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
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Gagnebin Y, Jaques DA, Rudaz S, de Seigneux S, Boccard J, Ponte B. Exploring blood alterations in chronic kidney disease and haemodialysis using metabolomics. Sci Rep 2020; 10:19502. [PMID: 33177589 PMCID: PMC7658362 DOI: 10.1038/s41598-020-76524-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 10/29/2020] [Indexed: 02/06/2023] Open
Abstract
Chronic kidney disease (CKD) is characterized by retention of uremic solutes. Compared to patients with non-dialysis dependent CKD, those requiring haemodialysis (HD) have increased morbidity and mortality. We wished to characterise metabolic patterns in CKD compared to HD patients using metabolomics. Prevalent non-HD CKD KDIGO stage 3b-4 and stage 5 HD outpatients were screened at a single tertiary hospital. Various liquid chromatography approaches hyphenated with mass spectrometry were used to identify 278 metabolites. Unsupervised and supervised data analyses were conducted to characterize metabolic patterns. 69 patients were included in the CKD group and 35 in the HD group. Unsupervised data analysis showed clear clustering of CKD, pre-dialysis (preHD) and post-dialysis (postHD) patients. Supervised data analysis revealed qualitative as well as quantitative differences in individual metabolites profiles between CKD, preHD and postHD states. An original metabolomics framework could discriminate between CKD stages and highlight HD effect based on 278 identified metabolites. Significant differences in metabolic patterns between CKD and HD patients were found overall as well as for specific metabolites. Those findings could explain clinical discrepancies between patients requiring HD and those with earlier stage of CKD.
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Affiliation(s)
- Yoric Gagnebin
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - David A Jaques
- Service of Nephrology and Hypertension, Department of Medicine, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.
| | - Serge Rudaz
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
- Swiss Centre for Applied Human Toxicology, University of Basel, Basel, Switzerland
| | - Sophie de Seigneux
- Service of Nephrology and Hypertension, Department of Medicine, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland
| | - Julien Boccard
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
- Swiss Centre for Applied Human Toxicology, University of Basel, Basel, Switzerland
| | - Belén Ponte
- Service of Nephrology and Hypertension, Department of Medicine, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland
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Cheng Y, Li Y, Benkowitz P, Lamina C, Köttgen A, Sekula P. The relationship between blood metabolites of the tryptophan pathway and kidney function: a bidirectional Mendelian randomization analysis. Sci Rep 2020; 10:12675. [PMID: 32728058 PMCID: PMC7391729 DOI: 10.1038/s41598-020-69559-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 07/14/2020] [Indexed: 02/07/2023] Open
Abstract
Blood metabolites of the tryptophan pathway were found to be associated with kidney function and disease in observational studies. In order to evaluate causal relationship and direction, we designed a study using a bidirectional Mendelian randomization approach. The analyses were based on published summary statistics with study sizes ranging from 1,960 to 133,413. After correction for multiple testing, results provided no evidence of an effect of metabolites of the tryptophan pathway on estimated glomerular filtration rate (eGFR). Conversely, lower eGFR was related to higher levels of four metabolites: C-glycosyltryptophan (effect estimate = − 0.16, 95% confidence interval [CI] (− 0.22; − 0.1); p = 9.2e−08), kynurenine (effect estimate = − 0.18, 95% CI (− 0.25; − 0.11); p = 1.1e−06), 3-indoxyl sulfate (effect estimate = − 0.25, 95% CI (− 0.4; − 0.11); p = 6.3e−04) and indole-3-lactate (effect estimate = − 0.26, 95% CI (− 0.38; − 0.13); p = 5.4e−05). Our study supports that lower eGFR causes higher blood metabolite levels of the tryptophan pathway including kynurenine, C-glycosyltryptophan, 3-indoxyl sulfate, and indole-3-lactate. These findings aid the notion that metabolites of the tryptophan pathway are a consequence rather than a cause of reduced eGFR. Further research is needed to specifically examine relationships with respect to chronic kidney disease (CKD) progression among patients with existing CKD.
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Affiliation(s)
- Yurong Cheng
- Department of Biometry, Epidemiology and Medical Bioinformatics, Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Hugstetter Str. 49, 79106, Freiburg, Germany.,Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Yong Li
- Department of Biometry, Epidemiology and Medical Bioinformatics, Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Hugstetter Str. 49, 79106, Freiburg, Germany
| | - Paula Benkowitz
- Department of Biometry, Epidemiology and Medical Bioinformatics, Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Hugstetter Str. 49, 79106, Freiburg, Germany
| | - Claudia Lamina
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna Köttgen
- Department of Biometry, Epidemiology and Medical Bioinformatics, Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Hugstetter Str. 49, 79106, Freiburg, Germany
| | - Peggy Sekula
- Department of Biometry, Epidemiology and Medical Bioinformatics, Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Hugstetter Str. 49, 79106, Freiburg, Germany.
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33
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Epidemiology research to foster improvement in chronic kidney disease care. Kidney Int 2020; 97:477-486. [DOI: 10.1016/j.kint.2019.11.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 11/12/2019] [Accepted: 11/15/2019] [Indexed: 11/24/2022]
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Chen Y, Wen P, Yang J, Niu J. Plasma Metabolomics Profiling in Maintenance Hemodialysis Patients Based on Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry. KIDNEY DISEASES 2020; 6:125-134. [PMID: 32309295 DOI: 10.1159/000505156] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Accepted: 12/01/2019] [Indexed: 12/16/2022]
Abstract
Background Key pathogenetic mechanisms underlying renal disease progression are unaffected by current treatment. Metabolite profiling has significantly contributed to a deeper understanding of the biochemical metabolic networks and pathways in disease, but the biochemical details in maintenance hemodialysis (MHD) patients remain largely undefined. Methods The metabolic fingerprinting of plasma samples from 19 MHD patients and 12 healthy controls was characterized using liquid chromatography quadrupole time-of-flight mass spectrometry. Principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were applied to analyze the metabolic data. Results The plasma metabolite profile distinguished the MHD patients from the healthy controls successfully by using both PCA and OPLS-DA models. Sixty-three metabolites were identified as the key metabolites to discriminate the MHD patients from healthy controls, involving several metabolic pathways (all p < 0.05). An increase in plasma levels of D-glucose, hippuric acid, androsterone glucuronide, indolelactic acid, and a reduction in plasma levels of glycerophosphocholine, serotonin, L-lactic acid, phytosphingosine, and several lysophosphatidylcholine were observed in MHD patients compared to healthy subjects. Metabolomics analysis combined with KEGG pathway enrichment analysis revealed that non-alcoholic fatty liver disease, choline metabolism in cancer, the forkhead box O signaling pathway, and the hypoxia-inducible factor-1 signaling pathway in MHD patients were significantly changed (p < 0.05). Conclusion The identification of a novel signaling pathway and key metabolite markers in MHD patients provides insights into potential pathogenesis and valuable pharmacological targets for end-stage renal disease.
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Affiliation(s)
- Yu Chen
- Division of Nephrology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.,Division of Nephrology, Second Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Ping Wen
- Division of Nephrology, Second Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Junwei Yang
- Division of Nephrology, Second Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Jianying Niu
- Division of Nephrology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China
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Nigam SK, Bush KT. Uraemic syndrome of chronic kidney disease: altered remote sensing and signalling. Nat Rev Nephrol 2019; 15:301-316. [PMID: 30728454 DOI: 10.1038/s41581-019-0111-1] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Uraemic syndrome (also known as uremic syndrome) in patients with advanced chronic kidney disease involves the accumulation in plasma of small-molecule uraemic solutes and uraemic toxins (also known as uremic toxins), dysfunction of multiple organs and dysbiosis of the gut microbiota. As such, uraemic syndrome can be viewed as a disease of perturbed inter-organ and inter-organism (host-microbiota) communication. Multiple biological pathways are affected, including those controlled by solute carrier (SLC) and ATP-binding cassette (ABC) transporters and drug-metabolizing enzymes, many of which are also involved in drug absorption, distribution, metabolism and elimination (ADME). The remote sensing and signalling hypothesis identifies SLC and ABC transporter-mediated communication between organs and/or between the host and gut microbiota as key to the homeostasis of metabolites, antioxidants, signalling molecules, microbiota-derived products and dietary components in body tissues and fluid compartments. Thus, this hypothesis provides a useful perspective on the pathobiology of uraemic syndrome. Pathways considered central to drug ADME might be particularly important for the body's attempts to restore homeostasis, including the correction of disturbances due to kidney injury and the accumulation of uraemic solutes and toxins. This Review discusses how the remote sensing and signalling hypothesis helps to provide a systems-level understanding of aspects of uraemia that could lead to novel approaches to its treatment.
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Affiliation(s)
- Sanjay K Nigam
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA. .,Department of Medicine, University of California San Diego, La Jolla, CA, USA.
| | - Kevin T Bush
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
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36
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Nierenberg JL, He J, Li C, Gu X, Shi M, Razavi AC, Mi X, Li S, Bazzano LA, Anderson AH, He H, Chen W, Kinchen JM, Rebholz CM, Coresh J, Levey AS, Inker LA, Shlipak M, Kelly TN. Novel associations between blood metabolites and kidney function among Bogalusa Heart Study and Multi-Ethnic Study of Atherosclerosis participants. Metabolomics 2019; 15:149. [PMID: 31720858 PMCID: PMC7021455 DOI: 10.1007/s11306-019-1613-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 11/08/2019] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Chronic kidney disease (CKD) is a major public health challenge given its high global prevalence and associated risks of cardiovascular disease and progression to end stage renal disease. Although it is known that numerous metabolic changes occur in CKD patients, identifying novel metabolite associations with kidney function may enhance our understanding of the physiologic pathways relating to CKD. OBJECTIVES The objective of this study was to elucidate novel metabolite associations with kidney function among participants of two community-based cohorts with carefully ascertained metabolomics, kidney function, and covariate data. METHODS Untargeted ultrahigh-performance liquid chromatography-tandem mass spectrometry was used to detect and quantify blood metabolites. We used multivariate adjusted linear regression to examine associations between single metabolites and creatinine-based estimated glomerular filtration rate (eGFRcr) among 1243 Bogalusa Heart Study (BHS) participants (median eGFRcr: 94.4, 5th-95th percentile: 66.0-119.6 mL/min/1.73 m2). Replication, determined by statistical significance and consistent effect direction, was tested using gold standard measured glomerular filtration rate (mGFR) among 260 Multi-Ethnic Study of Atherosclerosis (MESA) participants (median mGFR: 72.0, 5th-95th percentile: 43.5-105.0 mL/min/1.73 m2). All analyses used Bonferroni-corrected alpha thresholds. RESULTS Fifty-one novel metabolite associations with kidney function were identified, including 12 from previously unrelated sub-pathways: N6-carboxymethyllysine, gulonate, quinolinate, gamma-CEHC-glucuronide, retinol, methylmalonate, 3-hydroxy-3-methylglutarate, 3-aminoisobutyrate, N-methylpipecolate, hydroquinone sulfate, and glycine conjugates of C10H12O2 and C10H14O2(1). Significant metabolites were generally inversely associated with kidney function and smaller in mass-to-charge ratio than non-significant metabolites. CONCLUSION The 51 novel metabolites identified may serve as early, clinically relevant, kidney function biomarkers.
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Affiliation(s)
- Jovia L Nierenberg
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
- Department of Medicine, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
- Department of Epidemiology & Biostatistics, University of Georgia College of Public Health, Athens, GA, USA
| | - Xiaoying Gu
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Mengyao Shi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
| | - Alexander C Razavi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
| | - Xuenan Mi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
| | - Shengxu Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
| | - Lydia A Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
| | - Amanda H Anderson
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
| | - Hua He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
| | - Wei Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA
| | | | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, MA, USA
| | - Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, MA, USA
| | - Michael Shlipak
- Department of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 2000, New Orleans, LA, 70112, USA.
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Xu J, Yuan Q, Wu K, Li X, Zhao Y, Li X. Effects of Bailing capsule on diabetic nephropathy based on UPLC-MS urine metabolomics. RSC Adv 2019; 9:35969-35975. [PMID: 35540588 PMCID: PMC9074918 DOI: 10.1039/c9ra05046a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 10/23/2019] [Indexed: 11/21/2022] Open
Abstract
Diabetic nephropathy (DN) is one of the most common microvascular diabetes complications and has become a threat to human health. Bailing capsules (BLCs), containing fermentation products of Cordyceps sinensis, have been commonly used for treatment of renal dysfunction, such as DN. However, mechanisms underlying the protective effects of BLC remain largely obscure and await more investigation. In this study, UPLC-MS-based comprehensive metabolomics along with pattern recognition was applied to explore the urine metabolic alteration of DN as well as therapeutic mechanisms of BLC. Nineteen differentially expressed endogenous metabolites were identified related to DN, which were involved in the perturbations of tyrosine metabolism, tryptophan metabolism, glycine metabolism, purine metabolism, glutamine metabolism, phenylalanine metabolism, histidine metabolism and TCA cycle metabolism pathways. After drug intervention, most of the biomarkers exhibited a certain extent towards normal levels (P < 0.05), which indicated that BLC was an effective drug for treating DN and might play its therapeutic role by retrieving abnormal metabolism pathways. The data obtained in this research may pave the way for further exploration of DN and provide key clues to understand the protective effect of BLC. UPLC-MS-based metabolomics along with pattern recognition was applied to explore the metabolic alteration of diabetic nephropathy and therapeutic mechanisms of Bailing capsule.![]()
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Affiliation(s)
- Junnan Xu
- Department of Urology, The Organ Transplant Institute of PLA, The 8th Medical Center of Chinese PLA General Hospital Beijing 100091 China
| | - Qing Yuan
- Department of Urology, The Organ Transplant Institute of PLA, The 8th Medical Center of Chinese PLA General Hospital Beijing 100091 China
| | - Kang Wu
- Department of Urology, The Organ Transplant Institute of PLA, The 8th Medical Center of Chinese PLA General Hospital Beijing 100091 China
| | - Xiubin Li
- The Organ Transplant Institute of PLA, The 8th Medical Center of Chinese PLA General Hospital, Beijing Key Laboratory of Immunology Regulatory and Organ Transplantation Beijing 100091 China
| | - Yuanyu Zhao
- Department of Organ Transplantation, Shanghai Changzheng Hospital, Naval Medical University Shanghai 200003 China
| | - Xiang Li
- Department of Urology, The Organ Transplant Institute of PLA, The 8th Medical Center of Chinese PLA General Hospital Beijing 100091 China
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Afshinnia F, Nair V, Lin J, Rajendiran TM, Soni T, Byun J, Sharma K, Fort PE, Gardner TW, Looker HC, Nelson RG, Brosius FC, Feldman EL, Michailidis G, Kretzler M, Pennathur S. Increased lipogenesis and impaired β-oxidation predict type 2 diabetic kidney disease progression in American Indians. JCI Insight 2019; 4:130317. [PMID: 31573977 PMCID: PMC6948762 DOI: 10.1172/jci.insight.130317] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 09/25/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUNDIn this study, we identified the lipidomic predictors of early type 2 diabetic kidney disease (DKD) progression, which are currently undefined.METHODSThis longitudinal study included 92 American Indians with type 2 diabetes. Serum lipids (406 from 18 classes) were quantified using mass spectrometry from baseline samples when iothalamate-based glomerular filtration rate (GFR) was at least 90 mL/min. Affymetrix GeneChip Array was used to measure renal transcript expression. DKD progression was defined as at least 40% decline in GFR during follow-up.RESULTSParticipants had a mean age of 45 ± 9 years and median urine albumin/creatinine ratio of 43 (interquartile range 11-144). The 32 progressors had significantly higher relative abundance of polyunsaturated triacylglycerols (TAGs) and a lower abundance of C16-C20 acylcarnitines (ACs) (P < 0.001). In a Cox regression model, the main effect terms of unsaturated free fatty acids and phosphatidylethanolamines and the interaction terms of C16-C20 ACs and short-low-double-bond TAGs by categories of albuminuria independently predicted DKD progression. Renal expression of acetyl-CoA carboxylase-encoding gene (ACACA) correlated with serum diacylglycerols in the glomerular compartment (r = 0.36, and P = 0.006) and with low-double-bond TAGs in the tubulointerstitial compartment (r = 0.52, and P < 0.001).CONCLUSIONCollectively, the findings reveal a previously unrecognized link between lipid markers of impaired mitochondrial β-oxidation and enhanced lipogenesis and DKD progression in individuals with preserved GFR. Renal acetyl-CoA carboxylase activation accompanies these lipidomic changes and suggests that it may be the underlying mechanism linking lipid abnormalities to DKD progression.TRIAL REGISTRATIONClinicalTrials.gov, NCT00340678.FUNDINGNIH R24DK082841, K08DK106523, R03DK121941, P30DK089503, P30DK081943, and P30DK020572.
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Affiliation(s)
- Farsad Afshinnia
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Viji Nair
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Jiahe Lin
- Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Thekkelnaycke M. Rajendiran
- Michigan Regional Comprehensive Metabolomics Resource Core and
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Tanu Soni
- Michigan Regional Comprehensive Metabolomics Resource Core and
| | - Jaeman Byun
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Kumar Sharma
- Division of Nephrology, Department of Internal Medicine, University of Texas Health at San Antonio, San Antonio, Texas, USA
| | - Patrice E. Fort
- Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Thomas W. Gardner
- Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Helen C. Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA
| | - Robert G. Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA
| | - Frank C. Brosius
- Division of Nephrology, Department of Medicine, University of Arizona College of Medicine, Tuscan, Arizona, USA
| | - Eva L. Feldman
- Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - George Michailidis
- Department of Statistics and
- Informatics Institute, University of Florida, Gainesville, Florida, USA
| | - Matthias Kretzler
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Michigan Regional Comprehensive Metabolomics Resource Core and
- Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, Michigan, USA
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39
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Hill E, Sapa H, Negrea L, Bame K, Hostetter T, Barkoukis H, Dusso A, Dobre M. Effect of Oat β-Glucan Supplementation on Chronic Kidney Disease: A Feasibility Study. J Ren Nutr 2019; 30:208-215. [PMID: 31668649 DOI: 10.1053/j.jrn.2019.06.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 05/20/2019] [Accepted: 06/29/2019] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE Dietary supplementation with grains containing high β-glucan fiber has been shown to attenuate the progression of chronic kidney disease (CKD) and vascular calcification in animal models. The aim of this study was to investigate the feasibility of consuming an oat β-glucan supplement and to assess its effects on certain uremic toxins and markers of mineral metabolism in patients with CKD. DESIGN This is a 20-week, nonrandomized, single-center, pretest-posttest study. Twenty-eight subjects with CKD stages 3-4 were enrolled. The mean age was 67.6 ± 8.9 years, and the mean estimated glomerular filtration rate was 35 ± 14 mL/min/1.73 m2. Subjects received a dietary supplement containing 3 g of oat β-glucan per day for 12 weeks. The 4-week period before the start of the intervention was used as a baseline comparison for each subject. The primary outcome was pre-post supplement changes in plasma levels of two uremic toxins: trimethylamine N-oxide (TMAO) and asymmetric dimethylarginine. Secondary outcomes were pre-post supplement changes in serum calcium, phosphorus, and Klotho levels. Repeated-measures analysis of variance was used to test the differences in outcomes over the three-month-long intervention. RESULTS Serum levels of TMAO decreased by a median of -17% (interquartile range: -46%, 7%) at the end of the intervention. A nonstatistically significant change was observed for asymmetric dimethylarginine (median -0.6% [-12%, 20%]) and serum Klotho (median -3% [-8%, 7%]). There were no changes in serum levels of calcium and phosphorus. One month after discontinuation of β-glucan therapy, TMAO levels increased by a median of 16% (-12%, 36%) but remained slightly below the pretreatment levels. Eight subjects experienced side effects and discontinued the treatment. CONCLUSION A diet supplemented with β-glucan is safe and potentially efficacious in lowering serum concentrations of TMAO in patients with CKD. Larger trials with longer follow-up times are needed to determine whether such reductions translate into clinical benefits.
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Affiliation(s)
- Eddie Hill
- School of Medicine, Case Western Reserve University, Cleveland, Ohio.
| | - Hima Sapa
- School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Lavinia Negrea
- School of Medicine, Case Western Reserve University, Cleveland, Ohio; Division of Nephrology, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Kristin Bame
- Clinical Nutrition Services Department, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Thomas Hostetter
- School of Medicine, Case Western Reserve University, Cleveland, Ohio; Division of Nephrology, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Hope Barkoukis
- School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Adriana Dusso
- Bone and Mineral Research Unit, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain
| | - Mirela Dobre
- School of Medicine, Case Western Reserve University, Cleveland, Ohio; Division of Nephrology, University Hospitals Cleveland Medical Center, Cleveland, Ohio
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40
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Massy ZA, Liabeuf S. From old uraemic toxins to new uraemic toxins: place of 'omics'. Nephrol Dial Transplant 2019; 33:iii2-iii5. [PMID: 30281133 PMCID: PMC6168884 DOI: 10.1093/ndt/gfy212] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Accepted: 06/07/2018] [Indexed: 01/17/2023] Open
Abstract
Uraemic toxins seem to play an important role in the genesis of cardiovascular and renal damage in chronic kidney disease patients. This short article is divided into two thematic sections. The first part focuses on a selection of ‘old’ toxins for which recent data (published between 2016 and 2018) have provided a better understanding of the associated harmful mechanisms and which, in our opinion, nephrologists should be more aware of. The second part highlights new perspectives for identifying and quantifying these compounds using ‘omics’ techniques.
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Affiliation(s)
- Ziad A Massy
- Division of Nephrology, Ambroise Paré Hospital, Paris Ile-de-France Ouest University (UVSQ), Boulogne Billancourt, France.,INSERM Unit-1018, CESP, University Paris-Saclay, University of Versailles-Saint-Quentin-en-Yvelines, Université Paris Sud, Villejuif, France
| | - Sophie Liabeuf
- Clinical Research Department, Division of Clinical Pharmacology, Amiens University Hospital, Amiens, France.,INSERM U1088, Jules Verne University of Picardie, Amiens, France
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41
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Ma J, Karnovsky A, Afshinnia F, Wigginton J, Rader DJ, Natarajan L, Sharma K, Porter AC, Rahman M, He J, Hamm L, Shafi T, Gipson D, Gadegbeku C, Feldman H, Michailidis G, Pennathur S. Differential network enrichment analysis reveals novel lipid pathways in chronic kidney disease. Bioinformatics 2019; 35:3441-3452. [PMID: 30887029 PMCID: PMC6748777 DOI: 10.1093/bioinformatics/btz114] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 01/31/2019] [Accepted: 02/12/2019] [Indexed: 12/28/2022] Open
Abstract
MOTIVATION Functional enrichment testing methods can reduce data comprising hundreds of altered biomolecules to smaller sets of altered biological 'concepts' that help generate testable hypotheses. This study leveraged differential network enrichment analysis methodology to identify and validate lipid subnetworks that potentially differentiate chronic kidney disease (CKD) by severity or progression. RESULTS We built a partial correlation interaction network, identified highly connected network components, applied network-based gene-set analysis to identify differentially enriched subnetworks, and compared the subnetworks in patients with early-stage versus late-stage CKD. We identified two subnetworks 'triacylglycerols' and 'cardiolipins-phosphatidylethanolamines (CL-PE)' characterized by lower connectivity, and a higher abundance of longer polyunsaturated triacylglycerols in patients with severe CKD (stage ≥4) from the Clinical Phenotyping Resource and Biobank Core. These finding were replicated in an independent cohort, the Chronic Renal Insufficiency Cohort. Using an innovative method for elucidating biological alterations in lipid networks, we demonstrated alterations in triacylglycerols and cardiolipins-phosphatidylethanolamines that precede the clinical outcome of end-stage kidney disease by several years. AVAILABILITY AND IMPLEMENTATION A complete list of NetGSA results in HTML format can be found at http://metscape.ncibi.org/netgsa/12345-022118/cric_cprobe/022118/results_cric_cprobe/main.html. The DNEA is freely available at https://github.com/wiggie/DNEA. Java wrapper leveraging the cytoscape.js framework is available at http://js.cytoscape.org. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Jing Ma
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Alla Karnovsky
- Department of Computational Medicine & Bioinformatics, Ann Arbor, MI, USA
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
| | - Farsad Afshinnia
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Janis Wigginton
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
| | - Daniel J Rader
- Department of Medicine, Translational-Clinical Research, University of Pennsylvania, Philadelphia, PA, USA
| | - Loki Natarajan
- Department of Family Medicine and Public Health, University of California at San Diego, San Diego, CA, USA
| | - Kumar Sharma
- Department of Internal Medicine, University of Texas Health at San Antonio, San Antonio, TX, USA
| | - Anna C Porter
- Department of Internal Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Mahboob Rahman
- Department of Internal Medicine, Case-Western Reserve University, Cleveland, OH, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Medicine, Tulane University, New Orleans, LA, USA
| | - Lee Hamm
- School of Medicine, Division of Nephrology and Hypertension, Tulane University, New Orleans, LA, USA
| | - Tariq Shafi
- Department of Internal Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Debbie Gipson
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - Crystal Gadegbeku
- Department of Internal Medicine, Temple University, Philadelphia, PA, USA
| | - Harold Feldman
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA
| | - George Michailidis
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
- Department of Statistics and the Informatics Institute, University of Florida, Gainesville, FL, USA
| | - Subramaniam Pennathur
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
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42
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Metabolomic study of the protective effect of Gandi capsule for diabetic nephropathy. Chem Biol Interact 2019; 314:108815. [PMID: 31499054 DOI: 10.1016/j.cbi.2019.108815] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 07/02/2019] [Accepted: 09/05/2019] [Indexed: 12/11/2022]
Abstract
Diabetic nephropathy (DN) is the one of the leading causes of end-stage renal disease (ESRD) in clinical. However, it is still lack of accurate biomarkers and effective methods for diagnosing and curing DN. Therefore, there is an urgent need to develop a definite strategy for the identification of reliable and versatile biomarkers for risk assessment of DN and search for therapeutic approaches that can effectively attenuate DN progression. Treatment with Gandi capsule (GDC) not only decreased the levels of urinary albumin excretion, but also increased the levels of estimated glomerular filtration rate (eGFR), indicating that it produces a renal protective effect on diabetic nephropathy. Based on metabolomics investigation including UHPLC-MS analysis and multivariate statistical analysis, sixteen disordered metabolites were screened out and considered as potential biomarkers corresponding to DN, which were mostly improved and partially returned to normalcy in GDC treatment group. Therefore, it was suggested that GDC was a promising therapeutic agent against DN. The underlying mechanisms of GDC attenuating the development of DN may be improving abnormal metabolic disorders by retrieving the imbalance of glycine metabolism, tryptophan metabolism, valine, leucine and isoleucine degradation, purine metabolism, nitrotoluene degradation, phenylalanine metabolism, fatty acid metabolism, tyrosine metabolism and bile acid metabolism pathways. The data obtained in this study may provide key clues to enhance our understanding of the metabolic mechanism of DN and shed new insights into the therapeutic mechanism of GDC.
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43
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Hanifa MA, Skott M, Maltesen RG, Rasmussen BS, Nielsen S, Frøkiær J, Ring T, Wimmer R. Tissue, urine and blood metabolite signatures of chronic kidney disease in the 5/6 nephrectomy rat model. Metabolomics 2019; 15:112. [PMID: 31422467 DOI: 10.1007/s11306-019-1569-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 07/22/2019] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Progressive chronic kidney disease (CKD) is an important cause of morbidity and mortality. It has a long asymptomatic phase, where routine blood tests cannot identify early functional losses, and therefore identifying common mechanisms across the many etiologies is an important goal. OBJECTIVES Our aim was to characterize serum, urine and tissue (kidney, lung, heart, spleen and liver) metabolomics changes in a rat model of CKD. METHODS A total of 17 male Wistar rats underwent 5/6 nephrectomy, whilst 13 rats underwent sham operation. Urine samples were collected weekly, for 6 weeks; blood was collected at weeks 0, 3 and 6; and tissue samples were collected at week 6. Samples were analyzed on a nuclear magnetic resonance spectroscopy platform with multivariate and univariate data analysis. RESULTS Changes in several metabolites were statistically significant. Allantoin was affected in all compartments. Renal asparagine, creatine, hippurate and trimethylamine were significantly different; in other tissues creatine, dimethylamine, dimethylglycine, trigonelline and trimethylamine were significant. Benzoate, citrate, dimethylglycine, fumarate, guanidinoacetate, malate, myo-inositol and oxoglutarate were altered in urine or serum. CONCLUSION Although the metabolic picture is complex, we suggest oxidative stress, the gut-kidney axis, acid-base balance, and energy metabolism as promising areas for future investigation.
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Affiliation(s)
- Munsoor A Hanifa
- Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark
- Department of Anaesthesia and Intensive Care Medicine, Aalborg University Hospital, 9000, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, 9000, Aalborg, Denmark
| | - Martin Skott
- Department of Urology, Aarhus University Hospital, 8250, Aarhus N, Denmark
| | - Raluca G Maltesen
- Department of Anaesthesia and Intensive Care Medicine, Aalborg University Hospital, 9000, Aalborg, Denmark
| | - Bodil S Rasmussen
- Department of Anaesthesia and Intensive Care Medicine, Aalborg University Hospital, 9000, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, 9000, Aalborg, Denmark
| | | | - Jørgen Frøkiær
- Department of Clinical Medicine, Aarhus University, 8200, Aarhus N, Denmark
| | - Troels Ring
- Department of Biomedicine, Aarhus University, 8000, Aarhus C, Denmark
- Department of Critical Care Medicine, The Center for Critical Care Nephrology, University of Pittsburgh, Pittsburg, PA, 15261, USA
| | - Reinhard Wimmer
- Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark.
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Sirich TL, Chertow GM. Asymmetric dimethylarginine, erythropoietin resistance, and anemia in CKD. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:S86. [PMID: 31576295 PMCID: PMC6685898 DOI: 10.21037/atm.2019.04.22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 04/04/2019] [Indexed: 11/06/2022]
Affiliation(s)
- Tammy L. Sirich
- Nephrology Section, VA Palo Alto Health Care System, Palo Alto, CA, USA
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Glenn M. Chertow
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
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45
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Kalantari S, Nafar M. An update of urine and blood metabolomics in chronic kidney disease. Biomark Med 2019; 13:577-597. [DOI: 10.2217/bmm-2019-0008] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Chronic kidney disease is considered as a serious obstacle in global health, with increasing incidence and prevalence. In spite of numerous attempts by using recent omics technologies, specially metabolomics, for understanding pathophysiology, molecular mechanism and identification reliable consensus biomarkers for diagnosis and prognosis of this complex disease, the current biomarkers are still insensitive and many questions about its pathomechanism are still to be unanswered. This review is focused on recent findings about urine and serum/plasma metabolite biomarkers and changes in the pathways that occurs in the disease conditions. The urine and blood metabolome content in the normal and disease state is investigated based on the current metabolomics studies and well known metabolite candidate biomarkers for chronic kidney disease are discussed.
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Affiliation(s)
- Shiva Kalantari
- Chronic Kidney Disease Research Center, Shahid Beheshti University of Medical Sciences, Number 103, Boostan 9th Street, Pasdaran Avenue, 1666663111 Tehran, Iran
| | - Mohsen Nafar
- Chronic Kidney Disease Research Center, Shahid Beheshti University of Medical Sciences, Number 103, Boostan 9th Street, Pasdaran Avenue, 1666663111 Tehran, Iran
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Iwaki T, Bennion BG, Stenson EK, Lynn JC, Otinga C, Djukovic D, Raftery D, Fei L, Wong HR, Liles WC, Standage SW. PPARα contributes to protection against metabolic and inflammatory derangements associated with acute kidney injury in experimental sepsis. Physiol Rep 2019; 7:e14078. [PMID: 31102342 PMCID: PMC6525329 DOI: 10.14814/phy2.14078] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 04/02/2019] [Accepted: 04/04/2019] [Indexed: 01/05/2023] Open
Abstract
Sepsis-associated acute kidney injury (AKI) is a significant problem in critically ill children and adults resulting in increased morbidity and mortality. Fundamental mechanisms contributing to sepsis-associated AKI are poorly understood. Previous research has demonstrated that peroxisome proliferator-activated receptor α (PPARα) expression is associated with reduced organ system failure in sepsis. Using an experimental model of polymicrobial sepsis, we demonstrate that mice deficient in PPARα have worse kidney function, which is likely related to reduced fatty acid oxidation and increased inflammation. Ultrastructural evaluation with electron microscopy reveals that the proximal convoluted tubule is specifically injured in septic PPARα deficient mice. In this experimental group, serum metabolomic analysis reveals unanticipated metabolic derangements in tryptophan-kynurenine-NAD+ and pantothenate pathways. We also show that a subgroup of children with sepsis whose genome-wide expression profiles are characterized by repression of the PPARα signaling pathway has increased incidence of severe AKI. These findings point toward interesting associations between sepsis-associated AKI and PPARα-driven fatty acid metabolism that merit further investigation.
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Affiliation(s)
- Takuma Iwaki
- Department of PediatricsUniversity of Washington School of MedicineSeattleWashington
- Department of PediatricsUniversity HospitalFaculty of MedicineKagawa UniversityKagawaJapan
| | - Brock G. Bennion
- Department of PediatricsUniversity of Washington School of MedicineSeattleWashington
- Department of Pathology and ImmunologyWashington University School of MedicineSt. LouisMissouri
| | - Erin K. Stenson
- Department of PediatricsSection of Critical CareUniversity of Colorado School of MedicineAnschutz Medical CenterChildren's Hospital ColoradoAuroraColorado
- Division of Critical Care MedicineCincinnati Children's Hospital Medical CenterCincinnatiOhio
| | - Jared C. Lynn
- Department of PediatricsUniversity of Washington School of MedicineSeattleWashington
| | - Cynthia Otinga
- Department of PediatricsUniversity of Washington School of MedicineSeattleWashington
| | - Danijel Djukovic
- Department of Chemistry and BiochemistryUniversity of ColoradoBoulderColorado
- Department of Anesthesiology and Pain MedicineUniversity of Washington School of MedicineSeattleWashington
| | - Daniel Raftery
- Department of Anesthesiology and Pain MedicineUniversity of Washington School of MedicineSeattleWashington
| | - Lin Fei
- Division of Biostatistics and EpidemiologyCincinnati Children's Hospital Medical CenterCincinnatiOhio
- Department of PediatricsUniversity of CincinnatiCincinnatiOhio
| | - Hector R. Wong
- Division of Critical Care MedicineCincinnati Children's Hospital Medical CenterCincinnatiOhio
- Department of PediatricsUniversity of CincinnatiCincinnatiOhio
| | - W. Conrad Liles
- Department of MedicineUniversity of Washington School of MedicineSeattleWashington
| | - Stephen W. Standage
- Department of PediatricsUniversity of Washington School of MedicineSeattleWashington
- Division of Critical Care MedicineCincinnati Children's Hospital Medical CenterCincinnatiOhio
- Department of PediatricsUniversity of CincinnatiCincinnatiOhio
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Meprin β metalloproteases associated with differential metabolite profiles in the plasma and urine of mice with type 1 diabetes and diabetic nephropathy. BMC Nephrol 2019; 20:141. [PMID: 31023251 PMCID: PMC6485094 DOI: 10.1186/s12882-019-1313-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 03/27/2019] [Indexed: 02/07/2023] Open
Abstract
Background Meprin metalloproteases are abundantly expressed in the brush border membranes of kidney proximal tubules and small intestines. Meprins are also expressed in podocytes and leukocytes (monocytes and macrophages). Meprins are implicated in the pathophysiology of diabetic nephropathy (DN) but underlying mechanisms are not fully understood. Single nucleotide polymophisms (SNPs) in the meprin β gene were associated with DKD in human subjects. Furthermore, meprin α and β double deficiency resulted in more severe kidney injury and higher mortality rates in mice with Streptozotocin (STZ)-induced type 1 diabetes. Identification of meprin substrates has provided insights on how meprins could modulate kidney injury. Meprin targets in the kidney include extracellular matrix (ECM) proteins, modulators of inflammation, and proteins involved in the protein kinase A (PKA) and PKC signaling pathways. The current study used a global metabolomics approach to determine how meprin β expression impacts the metabolite milieu in diabetes and DKD. Methods Low dose STZ was used to induce type 1 diabetes in 8-week old wild-type (WT) and meprin β knockout (βKO) mice. Blood and urine samples were obtained at 4 and 8 weeks post-STZ injection. Assays for albumin, creatinine, neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule − 1 (KIM-1), and cystatin C were used for biochemical assessment of kidney injury. Data for biomarkers of kidney injury utilized two-way ANOVA. Metabolomics data analysis utilized UPLC-QTOF MS and multivariate statistics. Results The number of metabolites with diabetes-associated changes in levels were significantly higher in the WT mice when compared to meprin βKO counterparts. Annotated meprin β expression-associated metabolites with strong variable importance in projection (VIP) scores play roles in lipid metabolism (LysoPC(16:1(9Z)), taurocholic acid), amino acid metabolism (indoxyl sulfate, hippuric acid), and neurotransmitter/stress hormone synthesis (cortisol, 3-methoxy-4-hydroxyphenylethylene glycolsulfate, homovanillic acid sulfate). Metabolites that associated with meprin β deficiency include; 3,5-dihydroxy-3′,4′-dimethoxy-6,7-methylenedioxyflavone 3-glucuronide, pantothenic acid, and indoxyl glucuronide (all decreased in plasma). Conclusion Taken together, the annotated metabolites suggest that meprin β impacts complications of diabetes such as DKD by altering distinct metabolite profiles. Electronic supplementary material The online version of this article (10.1186/s12882-019-1313-2) contains supplementary material, which is available to authorized users.
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Emerging Roles of Aryl Hydrocarbon Receptors in the Altered Clearance of Drugs during Chronic Kidney Disease. Toxins (Basel) 2019; 11:toxins11040209. [PMID: 30959953 PMCID: PMC6521271 DOI: 10.3390/toxins11040209] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 03/12/2019] [Accepted: 04/03/2019] [Indexed: 12/11/2022] Open
Abstract
Chronic kidney disease (CKD) is a major public health problem, since 300,000,000 people in the world display a glomerular filtration rate (GFR) below 60 mL/min/1.73m². Patients with CKD have high rates of complications and comorbidities. Thus, they require the prescription of numerous medications, making the management of patients very complex. The prescription of numerous drugs associated with an altered renal- and non-renal clearance makes dose adjustment challenging in these patients, with frequent drug-related adverse events. However, the mechanisms involved in this abnormal drug clearance during CKD are not still well identified. We propose here that the transcription factor, aryl hydrocarbon receptor, which is the cellular receptor for indolic uremic toxins, could worsen the metabolism and the excretion of drugs in CKD patients.
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Gagnebin Y, Pezzatti J, Lescuyer P, Boccard J, Ponte B, Rudaz S. Toward a better understanding of chronic kidney disease with complementary chromatographic methods hyphenated with mass spectrometry for improved polar metabolome coverage. J Chromatogr B Analyt Technol Biomed Life Sci 2019; 1116:9-18. [PMID: 30951967 DOI: 10.1016/j.jchromb.2019.03.031] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 03/19/2019] [Accepted: 03/25/2019] [Indexed: 12/25/2022]
Abstract
The prevalence of chronic kidney disease (CKD) is increasing worldwide. New technical approaches are needed to improve early diagnosis, disease understanding and patient monitoring, and to evaluate new therapies. Metabolomics, as a prime candidate in the field of CKD research, aims to comprehensively analyze the metabolic complexity of biological systems. An extensive analysis of the metabolites contained in biofluids is therefore needed, and the combination of data obtained from multiple analytical platforms constitutes a promising methodological approach. This study presents an original workflow based on complementary chromatographic conditions, reversed-phase and hydrophilic interaction chromatography hyphenated to mass spectrometry to improve the polar metabolome coverage coupled with a univocal metabolite annotation strategy enabling a rapid access to the biological interpretation. This multiplatform workflow was applied in a CKD cohort study to assess plasma metabolic profile modifications related to renal disease. Multivariate analysis of 278 endogenous annotated metabolites enabled patient stratification with respect to CKD stages and helped to generate new biological insights, while also confirming the relevance of tryptophan metabolism pathway in this condition.
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Affiliation(s)
- Yoric Gagnebin
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland
| | - Julian Pezzatti
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland
| | - Pierre Lescuyer
- Division of Laboratory Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Julien Boccard
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland; Swiss Center of Human Applied Toxicology, University of Basel, Switzerland
| | - Belén Ponte
- Service of Nephrology, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Serge Rudaz
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland; Swiss Center of Human Applied Toxicology, University of Basel, Switzerland.
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Zhang P, Lu K, Xia H. Multiple Factors Including Infections and Antibiotics Affecting New‐Onset Epilepsy in Hemodialysis Patients. Ther Apher Dial 2019; 23:404-408. [PMID: 30673174 DOI: 10.1111/1744-9987.12793] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 01/20/2019] [Accepted: 01/22/2019] [Indexed: 01/28/2023]
Affiliation(s)
- Peipei Zhang
- Department of Nephrologythe First Affiliated Hospital of Zhejiang Chinese Medical University Hangzhou China
| | - Keda Lu
- Department of Nephrologythe First Affiliated Hospital of Zhejiang Chinese Medical University Hangzhou China
| | - Hong Xia
- Department of Nephrologythe First Affiliated Hospital of Zhejiang Chinese Medical University Hangzhou China
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