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Galuška D, Pácal L, Chalásová K, Divácká P, Řehořová J, Svojanovský J, Hubáček JA, Lánská V, Kaňková K. T2DM/CKD genetic risk scores and the progression of diabetic kidney disease in T2DM subjects. Gene 2024; 927:148724. [PMID: 38909968 DOI: 10.1016/j.gene.2024.148724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 06/14/2024] [Accepted: 06/20/2024] [Indexed: 06/25/2024]
Abstract
This study aimed at understanding the predictive potential of genetic risk scores (GRS) for diabetic kidney disease (DKD) progression in patients with type 2 diabetes mellitus (T2DM) and Major Cardiovascular Events (MCVE) and All-Cause Mortality (ACM) as secondary outcomes. We evaluated 30 T2DM and CKD GWAS-derived single nucleotide polymorphisms (SNPs) and their association with clinical outcomes in a central European cohort (n = 400 patients). Our univariate Cox analysis revealed significant associations of age, duration of diabetes, diastolic blood pressure, total cholesterol and eGFR with progression of DKD (all P < 0.05). However, no single SNP was conclusively associated with progression to DKD, with only CERS2 and SHROOM3 approaching statistical significance. While a single SNP was associated with MCVE - WSF1 (P = 0.029), several variants were associated with ACM - specifically CANCAS1, CERS2 and C9 (all P < 0.02). Our GRS did not outperform classical clinical factors in predicting progression to DKD, MCVE or ACM. More precisely, we observed an increase only in the area under the curve (AUC) in the model combining genetic and clinical factors compared to the clinical model alone, with values of 0.582 (95 % CI 0.487-0.676) and 0.645 (95 % CI 0.556-0.735), respectively. However, this difference did not reach statistical significance (P = 0.06). This study highlights the complexity of genetic predictors and their interplay with clinical factors in DKD progression. Despite the promise of personalised medicine through genetic markers, our findings suggest that current clinical factors remain paramount in the prediction of DKD. In conclusion, our results indicate that GWAS-derived GRSs for T2DM and CKD do not offer improved predictive ability over traditional clinical factors in the studied Czech T2DM population.
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Affiliation(s)
- David Galuška
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic; Department of Biochemistry, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
| | - Lukáš Pácal
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Katarína Chalásová
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Petra Divácká
- Department of Gastroenterology, University Hospital Brno-Bohunice, Brno, Czech Republic
| | - Jitka Řehořová
- Department of Gastroenterology, University Hospital Brno-Bohunice, Brno, Czech Republic
| | - Jan Svojanovský
- Department of Internal Medicine, St. Anne's University Hospital, Brno, Czech Republic
| | - Jaroslav A Hubáček
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic; 3rd Department of Internal Medicine, 1(st) Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Věra Lánská
- Department of Data Science, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Kateřina Kaňková
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
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Mavrogeorgis E, Kondyli M, Mischak H, Vlahou A, Siwy J, Rossing P, Campbell A, Mels CMC, Delles C, Staessen JA, Latosinska A, Persu A. Multiple urinary peptides are associated with hypertension: a link to molecular pathophysiology. J Hypertens 2024; 42:1331-1339. [PMID: 38690919 DOI: 10.1097/hjh.0000000000003726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
OBJECTIVES Hypertension is a common condition worldwide; however, its underlying mechanisms remain largely unknown. This study aimed to identify urinary peptides associated with hypertension to further explore the relevant molecular pathophysiology. METHODS Peptidome data from 2876 individuals without end-organ damage were retrieved from the Human Urinary Proteome Database, belonging to general population (discovery) or type 2 diabetic (validation) cohorts. Participants were divided based on systolic blood pressure (SBP) and diastolic BP (DBP) into hypertensive (SBP ≥140 mmHg and/or DBP ≥90 mmHg) and normotensive (SBP <120 mmHg and DBP <80 mmHg, without antihypertensive treatment) groups. Differences in peptide abundance between the two groups were confirmed using an external cohort ( n = 420) of participants without end-organ damage, matched for age, BMI, eGFR, sex, and the presence of diabetes. Furthermore, the association of the peptides with BP as a continuous variable was investigated. The findings were compared with peptide biomarkers of chronic diseases and bioinformatic analyses were conducted to highlight the underlying molecular mechanisms. RESULTS Between hypertensive and normotensive individuals, 96 (mostly COL1A1 and COL3A1) peptides were found to be significantly different in both the discovery (adjusted) and validation (nominal significance) cohorts, with consistent regulation. Of these, 83 were consistently regulated in the matched cohort. A weak, yet significant, association between their abundance and standardized BP was also observed. CONCLUSION Hypertension is associated with an altered urinary peptide profile with evident differential regulation of collagen-derived peptides. Peptides related to vascular calcification and sodium regulation were also affected. Whether these modifications reflect the pathophysiology of hypertension and/or early subclinical organ damage requires further investigation.
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Affiliation(s)
- Emmanouil Mavrogeorgis
- Mosaiques Diagnostics GmbH, Hannover
- Institute for Molecular Cardiovascular Research (IMCAR), RWTH Aachen University Hospital, Aachen, Germany
| | | | | | - Antonia Vlahou
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | | | - Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Carina M C Mels
- Hypertension in Africa Research Team (HART), Faculty of Health Sciences
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
| | - Christian Delles
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Jan A Staessen
- Research Institute Alliance for the Promotion of Preventive Medicine, Mechelen
| | | | - Alexandre Persu
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires Saint-Luc
- Pole of Cardiovascular Research, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium
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Makhammajanov Z, Kabayeva A, Auganova D, Tarlykov P, Bukasov R, Turebekov D, Kanbay M, Molnar MZ, Kovesdy CP, Abidi SH, Gaipov A. Candidate protein biomarkers in chronic kidney disease: a proteomics study. Sci Rep 2024; 14:14014. [PMID: 38890379 PMCID: PMC11189417 DOI: 10.1038/s41598-024-64833-8] [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: 03/23/2024] [Accepted: 06/13/2024] [Indexed: 06/20/2024] Open
Abstract
Proteinuria poses a substantial risk for the progression of chronic kidney disease (CKD) and its related complications. Kidneys excrete hundreds of individual proteins, some with a potential impact on CKD progression or as a marker of the disease. However, the available data on specific urinary proteins and their relationship with CKD severity remain limited. Therefore, we aimed to investigate the urinary proteome and its association with kidney function in CKD patients and healthy controls. The proteomic analysis of urine samples showed CKD stage-specific differences in the number of detected proteins and the exponentially modified protein abundance index for total protein (p = 0.007). Notably, specific urinary proteins such as B2MG, FETUA, VTDB, and AMBP exhibited robust negative associations with kidney function in CKD patients compared to controls. Also, A1AG2, CD44, CD59, CERU, KNG1, LV39, OSTP, RNAS1, SH3L3, and UROM proteins showed positive associations with kidney function in the entire cohort, while LV39, A1BG, and CERU consistently displayed positive associations in patients compared to controls. This study suggests that specific urinary proteins, which were found to be negatively or positively associated with the kidney function of CKD patients, can serve as markers of dysfunctional or functional kidneys, respectively.
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Affiliation(s)
| | - Assem Kabayeva
- Department of Internal Medicine, Astana Medical University, Astana, Kazakhstan
| | - Dana Auganova
- Department of Proteomics and Mass Spectroscopy, National Center for Biotechnology, Astana, Kazakhstan
| | - Pavel Tarlykov
- Department of Proteomics and Mass Spectroscopy, National Center for Biotechnology, Astana, Kazakhstan
| | - Rostislav Bukasov
- Department of Chemistry, School of Sciences and Humanities, Nazarbayev University, Astana, Kazakhstan
| | - Duman Turebekov
- Department of Internal Medicine, Astana Medical University, Astana, Kazakhstan
| | - Mehmet Kanbay
- Division of Nephrology, Department of Internal Medicine, Koc University, Istanbul, Turkey
| | - Miklos Z Molnar
- Division of Nephrology & Hypertension, Department of Internal Medicine, Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City, UT, USA
| | - Csaba P Kovesdy
- Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Syed Hani Abidi
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana, Kazakhstan
| | - Abduzhappar Gaipov
- Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan.
- Clinical Academic Department of Internal Medicine, University Medical Center, Astana, Kazakhstan.
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Lauder L, Siwy J, Mavrogeorgis E, Keller F, Kunz M, Wachter A, Emrich IE, Böhm M, Mischak H, Mahfoud F. Impact of Renal Denervation on Urinary Peptide-Based Biomarkers in Hypertension. Hypertension 2024; 81:1374-1382. [PMID: 38572643 DOI: 10.1161/hypertensionaha.124.22819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 03/25/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND Catheter-based renal denervation (RDN) reduces blood pressure in hypertension. Urinary peptides are associated with cardiovascular and renal disease and provide prognostic information. We aimed to investigate the effect of RDN on urinary peptide-based classifiers associated with chronic kidney and heart disease and to identify urinary peptides affected by RDN. METHODS This single-arm, single-center study included patients undergoing catheter-based RDN. Urine samples were collected before and 24 months after RDN and were analyzed using capillary electrophoresis coupled with mass spectrometry. Predefined urinary peptide-based classifiers for chronic kidney disease (CKD273), coronary artery disease (CAD238), and heart failure (HF1) were applied. RESULTS This study included 48 patients (33% female) with uncontrolled hypertension. At 24 months after RDN, systolic blood pressure (165±17 versus 148±20 mm Hg; P<0.0001), diastolic blood pressure (90±17 versus 81±13 mm Hg; P<0.0001), and mean arterial pressure (115±15 versus 103±13 mm Hg; P<0.0001) decreased significantly. A total of 103 urinary peptides from 37 different proteins, mostly collagens, altered following RDN. CAD238, a 238 coronary artery-specific polypeptide-based classifier, significantly improved following RDN (Cohen's d, -0.632; P=0.0001). The classification scores of HF1 (P=0.8295) and CKD273 (P=0.6293) did not change significantly. CONCLUSIONS RDN beneficially affected urinary peptides associated with coronary artery disease. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT01888315.
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Affiliation(s)
- Lucas Lauder
- Klinik für Innere Medizin III - Kardiologie, Angiologie und Internistische Intensivmedizin, Universitätskliniken des Saarlandes und Universität des Saarlandes, Homburg, Germany (L.L., M.K., A.W., I.E.E., M.B., F.M.)
| | - Justyna Siwy
- Mosaiques Diagnostics GmbH, Hannover, Germany (J.S., E.M., H.M.)
| | - Emmanouil Mavrogeorgis
- Mosaiques Diagnostics GmbH, Hannover, Germany (J.S., E.M., H.M.)
- Institute for Molecular Cardiovascular Research, Rheinisch-Westfälische Technische Hochschule Aachen University Hospital, Germany (E.M.)
| | - Felix Keller
- Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Austria (F.K.)
| | - Michael Kunz
- Klinik für Innere Medizin III - Kardiologie, Angiologie und Internistische Intensivmedizin, Universitätskliniken des Saarlandes und Universität des Saarlandes, Homburg, Germany (L.L., M.K., A.W., I.E.E., M.B., F.M.)
| | - Angelika Wachter
- Klinik für Innere Medizin III - Kardiologie, Angiologie und Internistische Intensivmedizin, Universitätskliniken des Saarlandes und Universität des Saarlandes, Homburg, Germany (L.L., M.K., A.W., I.E.E., M.B., F.M.)
| | - Insa E Emrich
- Klinik für Innere Medizin III - Kardiologie, Angiologie und Internistische Intensivmedizin, Universitätskliniken des Saarlandes und Universität des Saarlandes, Homburg, Germany (L.L., M.K., A.W., I.E.E., M.B., F.M.)
| | - Michael Böhm
- Klinik für Innere Medizin III - Kardiologie, Angiologie und Internistische Intensivmedizin, Universitätskliniken des Saarlandes und Universität des Saarlandes, Homburg, Germany (L.L., M.K., A.W., I.E.E., M.B., F.M.)
| | - Harald Mischak
- Mosaiques Diagnostics GmbH, Hannover, Germany (J.S., E.M., H.M.)
| | - Felix Mahfoud
- Klinik für Innere Medizin III - Kardiologie, Angiologie und Internistische Intensivmedizin, Universitätskliniken des Saarlandes und Universität des Saarlandes, Homburg, Germany (L.L., M.K., A.W., I.E.E., M.B., F.M.)
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge (F.M.)
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Jha R, Lopez-Trevino S, Kankanamalage HR, Jha JC. Diabetes and Renal Complications: An Overview on Pathophysiology, Biomarkers and Therapeutic Interventions. Biomedicines 2024; 12:1098. [PMID: 38791060 PMCID: PMC11118045 DOI: 10.3390/biomedicines12051098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024] Open
Abstract
Diabetic kidney disease (DKD) is a major microvascular complication of both type 1 and type 2 diabetes. DKD is characterised by injury to both glomerular and tubular compartments, leading to kidney dysfunction over time. It is one of the most common causes of chronic kidney disease (CKD) and end-stage renal disease (ESRD). Persistent high blood glucose levels can damage the small blood vessels in the kidneys, impairing their ability to filter waste and fluids from the blood effectively. Other factors like high blood pressure (hypertension), genetics, and lifestyle habits can also contribute to the development and progression of DKD. The key features of renal complications of diabetes include morphological and functional alterations to renal glomeruli and tubules leading to mesangial expansion, glomerulosclerosis, homogenous thickening of the glomerular basement membrane (GBM), albuminuria, tubulointerstitial fibrosis and progressive decline in renal function. In advanced stages, DKD may require treatments such as dialysis or kidney transplant to sustain life. Therefore, early detection and proactive management of diabetes and its complications are crucial in preventing DKD and preserving kidney function.
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Affiliation(s)
- Rajesh Jha
- Kansas College of Osteopathic Medicine, Wichita, KS 67202, USA;
| | - Sara Lopez-Trevino
- Department of Diabetes, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Haritha R. Kankanamalage
- Department of Diabetes, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Jay C. Jha
- Department of Diabetes, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia
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Davies E, Chetwynd A, McDowell G, Rao A, Oni L. The current use of proteomics and metabolomics in glomerulonephritis: a systematic literature review. J Nephrol 2024:10.1007/s40620-024-01923-w. [PMID: 38689160 DOI: 10.1007/s40620-024-01923-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 02/24/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND Glomerulonephritis inherently leads to the development of chronic kidney disease. It is the second most common diagnosis in patients requiring renal replacement therapy in the United Kingdom. Metabolomics and proteomics can characterise, identify and quantify an individual's protein and metabolite make-up. These techniques have been optimised and can be performed on samples including kidney tissue, blood and urine. Utilising omic techniques in nephrology can uncover disease pathophysiology and transform the diagnostics and treatment options for glomerulonephritis. OBJECTIVES To evaluate the utility of metabolomics and proteomics using mass spectrometry and nuclear magnetic resonance in glomerulonephritis. METHODS The systematic review was registered on PROSPERO (CRD42023442092). Standard and extensive Cochrane search methods were used. The latest search date was March 2023. Participants were of any age with a histological diagnosis of glomerulonephritis. Descriptive analysis was performed, and data presented in tabular form. An area under the curve or p-value was presented for potential biomarkers discovered. RESULTS Twenty-seven studies were included (metabolomics (n = 9)), and (proteomics (n = 18)) with 1818 participants. The samples analysed were urine (n = 19) blood (n = 4) and biopsy (n = 6). The typical outcome themes were potential biomarkers, disease phenotype, risk of progression and treatment response. CONCLUSION This review shows the potential of metabolomic and proteomic analysis to discover new disease biomarkers that may influence diagnostics and disease management. Further larger-scale research is required to establish the validity of the study outcomes, including the several proposed biomarkers.
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Affiliation(s)
- Elin Davies
- Department of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
- Department of Nephrology, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.
| | - Andrew Chetwynd
- Centre for Proteome Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Garry McDowell
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Clinical Directorate, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK
- Research Laboratory, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Anirudh Rao
- Department of Nephrology, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK
- Clinical Directorate, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Louise Oni
- Department of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- Department of Paediatric Nephrology, Alder Hey Children's, NHS Foundation Trust Hospital, Eaton Road, Liverpool, UK
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Wang C, Pan Z, Sun L, Li Q. Integrative transcriptomic and proteomic profile revealed inhibition of oxidative phosphorylation and peroxisomes during renal interstitial fibrosis. J Proteomics 2024; 298:105144. [PMID: 38431085 DOI: 10.1016/j.jprot.2024.105144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 02/19/2024] [Accepted: 02/28/2024] [Indexed: 03/05/2024]
Abstract
Effective therapies of chronic kidney disease (CKD) are lacking due to the unclear molecular pathogenesis. Previous single omics-studies have described potential molecular regulation mechanism of CKD only at the level of transcription or translation. Therefore, this study generated an integrated transcriptomic and proteomic profile to provide deep insights into the continuous transcription-translation process during CKD. The comprehensive datasets identified 14,948 transcripts and 6423 proteins, 233 up-regulated and 364 down-regulated common differentially expressed genes of transcriptome and proteome were selected to further combined bioinformatics analysis. The obtained results revealed reactive oxygen species (ROS) metabolism and antioxidant system due to imbalance of mitochondria and peroxisomes were significantly repressed in CKD. Overall, this study presents a valuable multi-omics analysis that sheds light on the molecular mechanisms underlying CKD. SIGNIFICANCE: Chronic kidney disease (CKD) is a progressive and irreversible condition that results in abnormal kidney function and structure, and is ranked 18th among the leading causes of death globally, leading to a significant societal burden. Hence, there is an urgent need for research to detect new, sensitive, and specific biomarkers. Omics-based studies offer great potential to identify underlying disease mechanisms, aid in clinical diagnosis, and develop novel treatment strategies for CKD. Previous studies have mainly focused on the regulation of gene expression or protein synthesis in CKD, thereby compelling us to conduct a meticulous analysis of transcriptomic and proteomic data from the UUO mouse model. Here, we have performed a unified analysis of CKD model by integrating transcriptomes and protein suites for the first time. Our study contributes to a deeper understanding of the pathogenesis of CKD and provides a basis for subsequent disease management and drug development.
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Affiliation(s)
- Cheng Wang
- Department of Laboratory, Guizhou Provincial People's Hospital, Guiyang, Guizhou 550002, PR China
| | - Zhuo Pan
- Department of General Surgery, First People's Hospital of Huzhou, Huzhou, Zhejiang 313000, PR China
| | - Linxiao Sun
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, Zhejiang Provincial Top Key Discipline in Surgery, Wenzhou Medical University First Affiliated Hospital, Wenzhou, Zhejiang 325000, PR China
| | - Qiangqiang Li
- Department of General Surgery, the People's Hospital of Yuhuan, Taizhou 317600, Zhejiang, PR China.
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Jaimes Campos MA, Mavrogeorgis E, Latosinska A, Eder S, Buchwinkler L, Mischak H, Siwy J, Rossing P, Mayer G, Jankowski J. Urinary peptide analysis to predict the response to blood pressure medication. Nephrol Dial Transplant 2024; 39:873-883. [PMID: 37930730 PMCID: PMC11181870 DOI: 10.1093/ndt/gfad223] [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: 06/17/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND The risk of diabetic kidney disease (DKD) progression is significant despite treatment with renin-angiotensin system (RAS) blocking agents. Current clinical tools cannot predict whether or not patients will respond to treatment with RAS inhibitors (RASi). We aimed to investigate whether proteome analysis could identify urinary peptides as biomarkers that could predict the response to angiotensin-converting enzyme inhibitor and angiotensin-receptor blockers treatment to avoid DKD progression. Furthermore, we investigated the comparability of the estimated glomerular filtration rate (eGFR), calculated using four different GFR equations, for DKD progression. METHODS We evaluated urine samples from a discovery cohort of 199 diabetic patients treated with RASi. DKD progression was defined based on eGFR percentage slope results between visits (∼1 year) and for the entire period (∼3 years) based on the eGFR values of each GFR equation. Urine samples were analysed using capillary electrophoresis-coupled mass spectrometry. Statistical analysis was performed between the uncontrolled (patients who did not respond to RASi treatment) and controlled kidney function groups (patients who responded to the RASi treatment). Peptides were combined in a support vector machine-based model. The area under the receiver operating characteristic curve was used to evaluate the risk prediction models in two independent validation cohorts treated with RASi. RESULTS The classification of patients into uncontrolled and controlled kidney function varies depending on the GFR equation used, despite the same sample set. We identified 227 peptides showing nominal significant difference and consistent fold changes between uncontrolled and controlled patients in at least three methods of eGFR calculation. These included fragments of collagens, alpha-1-antitrypsin, antithrombin-III, CD99 antigen and uromodulin. A model based on 189 of 227 peptides (DKDp189) showed a significant prediction of non-response to the treatment/DKD progression in two independent cohorts. CONCLUSIONS The DKDp189 model demonstrates potential as a predictive tool for guiding treatment with RASi in diabetic patients.
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Affiliation(s)
- Mayra Alejandra Jaimes Campos
- Mosaiques Diagnostics GmbH, Hannover, Germany
- University Hospital RWTH Aachen, Institute for Molecular Cardiovascular Research, Aachen, Germany
| | - Emmanouil Mavrogeorgis
- Mosaiques Diagnostics GmbH, Hannover, Germany
- University Hospital RWTH Aachen, Institute for Molecular Cardiovascular Research, Aachen, Germany
| | | | - Susanne Eder
- Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria
| | - Lukas Buchwinkler
- Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria
| | | | | | - Peter Rossing
- Steno Diabetes Center Copenhagen, Complications Research, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Gert Mayer
- Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria
| | - Joachim Jankowski
- Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria
- Department of Pathology, Cardiovascular Research Institute Maastricht (CARIM), University of Maastricht, Maastricht, The Netherlands
- Aachen-Maastricht Institute for Cardiorenal Disease (AMICARE), University Hospital RWTH Aachen, Aachen, Germany
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Aloudah NM, Moalwi SH, Alnofal WY. Simultaneous Occurrence of Collagen Type III Glomerulopathy and Immunoglobulin A Nephropathy: A Rare Case Report. AMERICAN JOURNAL OF CASE REPORTS 2024; 25:e942770. [PMID: 38662643 PMCID: PMC11060494 DOI: 10.12659/ajcr.942770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 03/14/2024] [Accepted: 03/05/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND Collagen type III glomerulopathy (CG) is a rare disease with poorly understood pathogenesis, usually identified by abnormal collagen type III accumulation in glomeruli and manifesting as progressive deterioration of kidney function with nephrotic-range proteinuria. Immunoglobulin A nephropathy (IgAN) is the most prevalent glomerulopathy worldwide and is a leading cause of end-stage renal disease as a result of progressive fibrotic changes. Fibrosis is primarily caused by collagen type III deposition, which may explain the simultaneous occurrence of IgAN and CG. CASE REPORT A young man presented with clinical and laboratory evidence of chronic kidney injury, including long-term nephrotic-range proteinuria and microscopic hematuria. Partial improvement in proteinuria was achieved with steroid therapy and conservative management. As the non-invasive workup was inconclusive, and a complete recovery of kidney function was not achieved, a kidney biopsy was done. Histopathological microscopic examination revealed advanced IgA nephropathy, Oxford classification M0E1S1T2C0, with features highly suggestive of type III collagen glomerulopathy. CONCLUSIONS We described a case of collagen type III glomerulopathy, also known as collagenofibrotic glomerulopathy, and its association with concurrent immunoglobulin A nephropathy in a healthy man presenting with chronic proteinuria and microscopic hematuria. As the number of reported cases in the Middle East is rising, we present this report to improve understanding and greater recognition of such cases.
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Affiliation(s)
- Noura M. Aloudah
- Division of Anatomical Pathology, Department of Pathology and Laboratory Medicine, King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Samiah Hussain Moalwi
- Division of Anatomical Pathology, Department of Pathology and Laboratory Medicine, King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Wafa Yahia Alnofal
- Division of Internal Medicine, Department of Medicine, King Saud Medical City, Riyadh, Saudi Arabia
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Habiba UE, Khan N, Greene DL, Shamim S, Umer A. The therapeutic effect of mesenchymal stem cells in diabetic kidney disease. J Mol Med (Berl) 2024; 102:537-570. [PMID: 38418620 PMCID: PMC10963471 DOI: 10.1007/s00109-024-02432-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 02/02/2024] [Accepted: 02/12/2024] [Indexed: 03/02/2024]
Abstract
Diabetes mellitus (DM) often causes chronic kidney damage despite best medical practices. Diabetic kidney disease (DKD) arises from a complex interaction of factors within the kidney and the whole body. Targeting specific disease-causing agents using drugs has not been effective in treating DKD. However, stem cell therapies offer a promising alternative by addressing multiple disease pathways and promoting kidney regeneration. Mesenchymal stem cells (MSCs) offer great promise due to their superior accessibility ratio from adult tissues and remarkable modes of action, such as the production of paracrine anti-inflammatory and cytoprotective substances. This review critically evaluates the development of MSC treatment for DKD as it moves closer to clinical application. Results from animal models suggest that systemic MSC infusion may positively impact DKD progression. However, few registered and completed clinical trials exist, and whether the treatments are effective in humans is still being determined. Significant knowledge gaps and research opportunities exist, including establishing the ideal source, dose, and timing of MSC delivery, better understanding of in vivo mechanisms, and developing quantitative indicators to obtain a more significant therapeutic response. This paper reviews recent literature on using MSCs in preclinical and clinical trials in DKD. Potent biomarkers related to DKD are also highlighted, which may help better understand MSCs' action in this disease progression. KEY MESSAGES: Mesenchymal stem cells have anti-inflammatory and paracrine effects in diabetic kidney disease. Mesenchymal stem cells alleviate in animal models having diabetic kidney disease. Mesenchymal stem cells possess promise for the treatment of diabetic kidney disease.
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Affiliation(s)
- Umm E Habiba
- Pak-American Hospital Pvt. Ltd, Jahangir Multiplex, Peshawar Road, Sector H-13, Islamabad, 44000, Pakistan.
- R3 Medical Research LLC, 10045 East Dynamite Boulevard Suite 260, Scottsdale, AZ, 85262, USA.
| | - Nasar Khan
- Pak-American Hospital Pvt. Ltd, Jahangir Multiplex, Peshawar Road, Sector H-13, Islamabad, 44000, Pakistan.
- R3 Medical Research LLC, 10045 East Dynamite Boulevard Suite 260, Scottsdale, AZ, 85262, USA.
- Bello Bio Labs and Therapeutics (SMC) Pvt. Ltd., Jahangir Multiplex, Peshawar Road, Sector H-13, Islamabad, 44000, Pakistan.
| | - David Lawrence Greene
- Pak-American Hospital Pvt. Ltd, Jahangir Multiplex, Peshawar Road, Sector H-13, Islamabad, 44000, Pakistan
- R3 Medical Research LLC, 10045 East Dynamite Boulevard Suite 260, Scottsdale, AZ, 85262, USA
- Bello Bio Labs and Therapeutics (SMC) Pvt. Ltd., Jahangir Multiplex, Peshawar Road, Sector H-13, Islamabad, 44000, Pakistan
| | - Sabiha Shamim
- Pak-American Hospital Pvt. Ltd, Jahangir Multiplex, Peshawar Road, Sector H-13, Islamabad, 44000, Pakistan
- R3 Medical Research LLC, 10045 East Dynamite Boulevard Suite 260, Scottsdale, AZ, 85262, USA
| | - Amna Umer
- Pak-American Hospital Pvt. Ltd, Jahangir Multiplex, Peshawar Road, Sector H-13, Islamabad, 44000, Pakistan
- R3 Medical Research LLC, 10045 East Dynamite Boulevard Suite 260, Scottsdale, AZ, 85262, USA
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Kumar R, Tyagi N, Nagpal A, Kaushik JK, Mohanty AK, Kumar S. Peptidome Profiling of Bubalus bubalis Urine and Assessment of Its Antimicrobial Activity against Mastitis-Causing Pathogens. Antibiotics (Basel) 2024; 13:299. [PMID: 38666975 PMCID: PMC11047597 DOI: 10.3390/antibiotics13040299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/03/2023] [Accepted: 02/08/2023] [Indexed: 04/29/2024] Open
Abstract
Urinary proteins have been studied quite exhaustively in the past, however, the small sized peptides have remained neglected for a long time in dairy cattle. These peptides are the products of systemic protein turnover, which are excreted out of the body and hence can serve as an important biomarker for various pathophysiologies. These peptides in other species of bovine have been reported to possess several bioactive properties. To investigate the urinary peptides in buffalo and simultaneously their bioactivities, we generated a peptidome profile from the urine of Murrah Buffaloes (n = 10). Urine samples were processed using <10 kDa MWCO filter and filtrate obtained was used for peptide extraction using Solid Phase Extraction (SPE). The nLC-MS/MS of the aqueous phase from ten animals resulted in the identification of 8165 peptides originating from 6041 parent proteins. We further analyzed these peptide sequences to identify bioactive peptides and classify them into anti-cancerous, anti-hypertensive, anti-microbial, and anti-inflammatory groups with a special emphasis on antimicrobial properties. With this in mind, we simultaneously conducted experiments to evaluate the antimicrobial properties of urinary aqueous extract on three pathogenic bacterial strains: S. aureus, E. coli, and S. agalactiae. The urinary peptides observed in the study are the result of the activity of possibly 76 proteases. The GO of these proteases showed the significant enrichment of the antibacterial peptide production. The total urinary peptide showed antimicrobial activity against the aforementioned pathogenic bacterial strains with no significant inhibitory effects against a buffalo mammary epithelial cell line. Just like our previous study in cows, the present study suggests the prime role of the antimicrobial peptides in the maintenance of the sterility of the urinary tract in buffalo by virtue of their amino acid composition.
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Affiliation(s)
- Rohit Kumar
- Cell Biology and Proteomics Lab., Animal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India
| | - Nikunj Tyagi
- Cell Biology and Proteomics Lab., Animal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India
| | - Anju Nagpal
- Cell Biology and Proteomics Lab., Animal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India
| | - Jai Kumar Kaushik
- Cell Biology and Proteomics Lab., Animal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India
| | - Ashok Kumar Mohanty
- ICAR-Indian Veterinary Research Institute, Mukteshwar 263138, Uttarakhand, India
| | - Sudarshan Kumar
- Cell Biology and Proteomics Lab., Animal Biotechnology Centre, ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India
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Rupprecht H, Catanese L, Amann K, Hengel FE, Huber TB, Latosinska A, Lindenmeyer MT, Mischak H, Siwy J, Wendt R, Beige J. Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers. Int J Mol Sci 2024; 25:3678. [PMID: 38612488 PMCID: PMC11011737 DOI: 10.3390/ijms25073678] [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: 02/07/2024] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
Effective management of chronic kidney disease (CKD), a major health problem worldwide, requires accurate and timely diagnosis, prognosis of progression, assessment of therapeutic efficacy, and, ideally, prediction of drug response. Multiple biomarkers and algorithms for evaluating specific aspects of CKD have been proposed in the literature, many of which are based on a small number of samples. Based on the evidence presented in relevant studies, a comprehensive overview of the different biomarkers applicable for clinical implementation is lacking. This review aims to compile information on the non-invasive diagnostic, prognostic, and predictive biomarkers currently available for the management of CKD and provide guidance on the application of these biomarkers. We specifically focus on biomarkers that have demonstrated added value in prospective studies or those based on prospectively collected samples including at least 100 subjects. Published data demonstrate that several valid non-invasive biomarkers of potential value in the management of CKD are currently available.
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Affiliation(s)
- Harald Rupprecht
- Department of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, 95445 Bayreuth, Germany; (H.R.); (L.C.)
- Department of Nephrology, Medizincampus Oberfranken, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
- Kuratorium for Dialysis and Transplantation (KfH) Bayreuth, 95445 Bayreuth, Germany
| | - Lorenzo Catanese
- Department of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, 95445 Bayreuth, Germany; (H.R.); (L.C.)
- Department of Nephrology, Medizincampus Oberfranken, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
- Kuratorium for Dialysis and Transplantation (KfH) Bayreuth, 95445 Bayreuth, Germany
| | - Kerstin Amann
- Department of Nephropathology, Institute of Pathology, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany;
| | - Felicitas E. Hengel
- III Department of Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (F.E.H.); (T.B.H.); (M.T.L.)
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg Eppendorf, 20246 Hamburg, Germany
| | - Tobias B. Huber
- III Department of Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (F.E.H.); (T.B.H.); (M.T.L.)
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg Eppendorf, 20246 Hamburg, Germany
| | | | - Maja T. Lindenmeyer
- III Department of Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany; (F.E.H.); (T.B.H.); (M.T.L.)
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg Eppendorf, 20246 Hamburg, Germany
| | - Harald Mischak
- Mosaiques Diagnostics GmbH, 30659 Hannover, Germany; (A.L.); (H.M.); (J.S.)
| | - Justyna Siwy
- Mosaiques Diagnostics GmbH, 30659 Hannover, Germany; (A.L.); (H.M.); (J.S.)
| | - Ralph Wendt
- Department of Nephrology, Hospital St. Georg, 04129 Leipzig, Germany;
| | - Joachim Beige
- Department of Nephrology, Hospital St. Georg, 04129 Leipzig, Germany;
- Kuratorium for Dialysis and Transplantation (KfH) Renal Unit, Hospital St. Georg, 04129 Leipzig, Germany
- Department of Internal Medicine II, Martin-Luther-University Halle/Wittenberg, 06108 Halle (Saale), Germany
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Habiba UE, Khan N, Greene DL, Shamim S, Umer A. The therapeutic effect of mesenchymal stem cells in diabetic kidney disease. J Mol Med (Berl) 2024. [DOI: https:/doi.org/10.1007/s00109-024-02432-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 02/02/2024] [Accepted: 02/12/2024] [Indexed: 03/07/2024]
Abstract
Abstract
Diabetes mellitus (DM) often causes chronic kidney damage despite best medical practices. Diabetic kidney disease (DKD) arises from a complex interaction of factors within the kidney and the whole body. Targeting specific disease-causing agents using drugs has not been effective in treating DKD. However, stem cell therapies offer a promising alternative by addressing multiple disease pathways and promoting kidney regeneration. Mesenchymal stem cells (MSCs) offer great promise due to their superior accessibility ratio from adult tissues and remarkable modes of action, such as the production of paracrine anti-inflammatory and cytoprotective substances. This review critically evaluates the development of MSC treatment for DKD as it moves closer to clinical application. Results from animal models suggest that systemic MSC infusion may positively impact DKD progression. However, few registered and completed clinical trials exist, and whether the treatments are effective in humans is still being determined. Significant knowledge gaps and research opportunities exist, including establishing the ideal source, dose, and timing of MSC delivery, better understanding of in vivo mechanisms, and developing quantitative indicators to obtain a more significant therapeutic response. This paper reviews recent literature on using MSCs in preclinical and clinical trials in DKD. Potent biomarkers related to DKD are also highlighted, which may help better understand MSCs’ action in this disease progression.
Key messages
Mesenchymal stem cells have anti-inflammatory and paracrine effects in diabetic kidney disease.
Mesenchymal stem cells alleviate in animal models having diabetic kidney disease.
Mesenchymal stem cells possess promise for the treatment of diabetic kidney disease.
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14
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Hu X, Chen S, Ye S, Chen W, Zhou Y. New insights into the role of immunity and inflammation in diabetic kidney disease in the omics era. Front Immunol 2024; 15:1342837. [PMID: 38487541 PMCID: PMC10937589 DOI: 10.3389/fimmu.2024.1342837] [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: 11/22/2023] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Diabetic kidney disease (DKD) is becoming the leading cause of chronic kidney disease, especially in the industrialized world. Despite mounting evidence has demonstrated that immunity and inflammation are highly involved in the pathogenesis and progression of DKD, the underlying mechanisms remain incompletely understood. Substantial molecules, signaling pathways, and cell types participate in DKD inflammation, by integrating into a complex regulatory network. Most of the studies have focused on individual components, without presenting their importance in the global or system-based processes, which largely hinders clinical translation. Besides, conventional technologies failed to monitor the different behaviors of resident renal cells and immune cells, making it difficult to understand their contributions to inflammation in DKD. Recently, the advancement of omics technologies including genomics, epigenomics, transcriptomics, proteomics, and metabolomics has revolutionized biomedical research, which allows an unbiased global analysis of changes in DNA, RNA, proteins, and metabolites in disease settings, even at single-cell and spatial resolutions. They help us to identify critical regulators of inflammation processes and provide an overview of cell heterogeneity in DKD. This review aims to summarize the application of multiple omics in the field of DKD and emphasize the latest evidence on the interplay of inflammation and DKD revealed by these technologies, which will provide new insights into the role of inflammation in the pathogenesis of DKD and lead to the development of novel therapeutic approaches and diagnostic biomarkers.
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Affiliation(s)
- Xinrong Hu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Sixiu Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Siyang Ye
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Wei Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Yi Zhou
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
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15
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Mavrogeorgis E, He T, Mischak H, Latosinska A, Vlahou A, Schanstra JP, Catanese L, Amann K, Huber TB, Beige J, Rupprecht HD, Siwy J. Urinary peptidomic liquid biopsy for non-invasive differential diagnosis of chronic kidney disease. Nephrol Dial Transplant 2024; 39:453-462. [PMID: 37697716 PMCID: PMC10899775 DOI: 10.1093/ndt/gfad200] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND AND HYPOTHESIS Specific urinary peptides hold information on disease pathophysiology, which, in combination with artificial intelligence, could enable non-invasive assessment of chronic kidney disease (CKD) aetiology. Existing approaches are generally specific for the diagnosis of single aetiologies. We present the development of models able to simultaneously distinguish and spatially visualize multiple CKD aetiologies. METHODS The urinary peptide data of 1850 healthy control (HC) and CKD [diabetic kidney disease (DKD), immunoglobulin A nephropathy (IgAN) and vasculitis] participants were extracted from the Human Urinary Proteome Database. Uniform manifold approximation and projection (UMAP) coupled to a support vector machine algorithm was used to generate multi-peptide models to perform binary (DKD, HC) and multiclass (DKD, HC, IgAN, vasculitis) classifications. This pipeline was compared with the current state-of-the-art single-aetiology CKD urinary peptide models. RESULTS In an independent test set, the developed models achieved 90.35% and 70.13% overall predictive accuracies, respectively, for the binary and the multiclass classifications. Omitting the UMAP step led to improved predictive accuracies (96.14% and 85.06%, respectively). As expected, the HC class was distinguished with the highest accuracy. The different classes displayed a tendency to form distinct clusters in the 3D space based on their disease state. CONCLUSION Urinary peptide data present an effective basis for CKD aetiology differentiation using machine learning models. Although adding the UMAP step to the models did not improve prediction accuracy, it may provide a unique visualization advantage. Additional studies are warranted to further validate the pipeline's clinical potential as well as to expand it to other CKD aetiologies and also other diseases.
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Affiliation(s)
- Emmanouil Mavrogeorgis
- Mosaiques Diagnostics GmbH, Hannover, Germany
- Institute for Molecular Cardiovascular Research (IMCAR), RWTH Aachen University Hospital, Aachen, Germany
| | - Tianlin He
- Mosaiques Diagnostics GmbH, Hannover, Germany
| | | | | | - Antonia Vlahou
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Joost P Schanstra
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1297, Institute of Cardiovascular and Metabolic Disease, Toulouse, France
- Université Toulouse III Paul-Sabatier, Toulouse, France
| | - Lorenzo Catanese
- Department of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, Bayreuth, Germany
- Kuratorium for Dialysis and Transplantation (KfH) Bayreuth, Bayreuth, Germany
- Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Kerstin Amann
- Department of Nephropathology, Institute of Pathology, Friedrich-Alexander-University of Erlangen-Nürnberg, Erlangen, Germany
| | - Tobias B Huber
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Kidney Health (HCKH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Joachim Beige
- Department of Infectious Diseases/Tropical Medicine, Nephrology/KfH Renal Unit and Rheumatology, St Georg Hospital Leipzig, Leipzig, Germany
- Kuratorium for Dialysis and Transplantation (KfH) Renal Unit, St Georg Hospital, Leipzig, Germany
- Department of Internal Medicine II, Martin-Luther-University Halle/Wittenberg, Halle (Saale), Germany
| | - Harald D Rupprecht
- Department of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, Bayreuth, Germany
- Kuratorium for Dialysis and Transplantation (KfH) Bayreuth, Bayreuth, Germany
- Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
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Govender MA, Stoychev SH, Brandenburg JT, Ramsay M, Fabian J, Govender IS. Proteomic insights into the pathophysiology of hypertension-associated albuminuria: Pilot study in a South African cohort. Clin Proteomics 2024; 21:15. [PMID: 38402394 PMCID: PMC10893729 DOI: 10.1186/s12014-024-09458-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 02/06/2024] [Indexed: 02/26/2024] Open
Abstract
BACKGROUND Hypertension is an important public health priority with a high prevalence in Africa. It is also an independent risk factor for kidney outcomes. We aimed to identify potential proteins and pathways involved in hypertension-associated albuminuria by assessing urinary proteomic profiles in black South African participants with combined hypertension and albuminuria compared to those who have neither condition. METHODS The study included 24 South African cases with both hypertension and albuminuria and 49 control participants who had neither condition. Protein was extracted from urine samples and analysed using ultra-high-performance liquid chromatography coupled with mass spectrometry. Data were generated using data-independent acquisition (DIA) and processed using Spectronaut™ 15. Statistical and functional data annotation were performed on Perseus and Cytoscape to identify and annotate differentially abundant proteins. Machine learning was applied to the dataset using the OmicLearn platform. RESULTS Overall, a mean of 1,225 and 915 proteins were quantified in the control and case groups, respectively. Three hundred and thirty-two differentially abundant proteins were constructed into a network. Pathways associated with these differentially abundant proteins included the immune system (q-value [false discovery rate] = 1.4 × 10- 45), innate immune system (q = 1.1 × 10- 32), extracellular matrix (ECM) organisation (q = 0.03) and activation of matrix metalloproteinases (q = 0.04). Proteins with high disease scores (76-100% confidence) for both hypertension and chronic kidney disease included angiotensinogen (AGT), albumin (ALB), apolipoprotein L1 (APOL1), and uromodulin (UMOD). A machine learning approach was able to identify a set of 20 proteins, differentiating between cases and controls. CONCLUSIONS The urinary proteomic data combined with the machine learning approach was able to classify disease status and identify proteins and pathways associated with hypertension-associated albuminuria.
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Affiliation(s)
- Melanie A Govender
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Stoyan H Stoychev
- Council for Scientific and Industrial Research, NextGen Health, Pretoria, South Africa
- ReSyn Biosciences, Edenvale, South Africa
| | - Jean-Tristan Brandenburg
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Strengthening Oncology Services, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Michèle Ramsay
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - June Fabian
- Wits Donald Gordon Medical Centre, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ireshyn S Govender
- Council for Scientific and Industrial Research, NextGen Health, Pretoria, South Africa.
- ReSyn Biosciences, Edenvale, South Africa.
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Joshi N, Garapati K, Ghose V, Kandasamy RK, Pandey A. Recent progress in mass spectrometry-based urinary proteomics. Clin Proteomics 2024; 21:14. [PMID: 38389064 PMCID: PMC10885485 DOI: 10.1186/s12014-024-09462-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 02/12/2024] [Indexed: 02/24/2024] Open
Abstract
Serum or plasma is frequently utilized in biomedical research; however, its application is impeded by the requirement for invasive sample collection. The non-invasive nature of urine collection makes it an attractive alternative for disease characterization and biomarker discovery. Mass spectrometry-based protein profiling of urine has led to the discovery of several disease-associated biomarkers. Proteomic analysis of urine has not only been applied to disorders of the kidney and urinary bladder but also to conditions affecting distant organs because proteins excreted in the urine originate from multiple organs. This review provides a progress update on urinary proteomics carried out over the past decade. Studies summarized in this review have expanded the catalog of proteins detected in the urine in a variety of clinical conditions. The wide range of applications of urine analysis-from characterizing diseases to discovering predictive, diagnostic and prognostic markers-continues to drive investigations of the urinary proteome.
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Affiliation(s)
- Neha Joshi
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Kishore Garapati
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Vivek Ghose
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
| | - Richard K Kandasamy
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Akhilesh Pandey
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
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18
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Ozbek DA, Koc SC, Özkan NE, Kablan SE, Yet I, Uner M, Ozlu N, Nemutlu E, Lay I, Ayhan AS, Yildirim T, Arici M, Yilmaz SR, Erdem Y, Altun B. A comparative urinary proteomic and metabolomic analysis between renal aa amyloidosis and membranous nephropathy with clinicopathologic correlations. J Proteomics 2024; 293:105064. [PMID: 38154551 DOI: 10.1016/j.jprot.2023.105064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 11/20/2023] [Accepted: 12/18/2023] [Indexed: 12/30/2023]
Abstract
Urinary omics has become a powerful tool for elucidating pathophysiology of glomerular diseases. However, no urinary omics analysis has been performed yet on renal AA amyloidosis. Here, we performed a comparative urine proteomic and metabolomic analysis between recently diagnosed renal AA amyloidosis (AA) and membranous nephropathy (MN) patients. Urine samples of 22 (8 AA, 8 MN and 6 healthy control) patients were analyzed with nLC-MS/MS and GC/MS for proteomic and metabolomic studies, respectively. Pathological specimens were scored for glomerulosclerosis and tubulointerstitial fibrosis grades. Functional enrichment analysis between AA and control groups showed enrichment in cell adhesion related sub-domains. Uromodulin (UMOD) was lower, whereas ribonuclease 1 (RNase1) and α-1-microglobulin/bikunin precursor (AMBP) were higher in AA compared to MN group. Correlations were demonstrated between UMOD-proteinuria (r = -0.48, p = 0.03) and AMBP-eGFR (r = -0.69, p = 0.003) variables. Metabolomic analysis showed myo-inositol and urate were higher in AA compared to MN group. A positive correlation was detected between RNase1 and urate independent of eGFR values (r = 0.63, p = 0.01). Enrichment in cell adhesion related domains suggested a possible increased urinary shear stress due to amyloid fibrils. UMOD, AMBP and myo-inositol were related with tubulointerstitial damage, whereas RNase1 and urate were believed to be related with systemic inflammation in AA amyloidosis. SIGNIFICANCE: Urinary omics studies have become a standard tool for biomarker studies. However, no urinary omics analysis has been performed yet on renal AA amyloidosis. Here, we performed a comparative urinary omics analysis between recently diagnosed renal AA amyloidosis (AA), membranous nephropathy (MN) patients and healthy controls. Pathological specimens were scored with glomerulosclerosis (G) and tubulointerstitial fibrosis (IF) grades to consolidate the results of the omics studies and correlation analyzes. Functional enrichment analysis showed enrichment in cell adhesion related sub-domains due to downregulation of cadherins; which could be related with increased urinary shear stress due to amyloid deposition and disruption of tissue micro-architecture. In comparative proteomic analyzes UMOD was lower, whereas RNase1 and AMBP were higher in AA compared to MN group. Whereas in metabolomic analyzes; myo-inositol, urate and maltose were higher in AA compared to MN group. Correlations were demonstrated between UMOD-proteinuria (r = -0.48, p = 0.03), AMBP-eGFR (r = -0.69, p = 0.003) and between RNase1-Urate independent of eGFR values (r = 0.63, p = 0.01). This study is the first comprehensive urinary omics analysis focusing on renal AA Amyloidosis to the best of our knowledge. Based on physiologic roles and clinicopathologic correlations of the molecules; UMOD, AMBP and myo-inositol were related with tubulointerstitial damage, whereas RNase1 and urate were believed to be increased with systemic inflammation and endothelial damage in AA amyloidosis.
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Affiliation(s)
- Deniz Aral Ozbek
- Hacettepe University Faculty of Medicine, Department of Internal Medicine, Ankara, Turkey.
| | - Sila Cankurtaran Koc
- Hacettepe University Faculty of Medicine, Department of Nephrology, Ankara, Turkey
| | - Nazlı Ezgi Özkan
- Koc University Research Center for Translational Medicine, Istanbul, Turkey
| | - Sevilay Erdogan Kablan
- Hacettepe University Faculty of Pharmacy, Department of Analytical Chemistry, Ankara, Turkey
| | - Idil Yet
- Hacettepe University Graduate School of Health Sciences, Department of Bioinformatics, Ankara, Turkey
| | - Meral Uner
- Hacettepe University Faculty of Medicine, Department of Pathology, Ankara, Turkey
| | - Nurhan Ozlu
- Koc University Research Center for Translational Medicine, Istanbul, Turkey
| | - Emirhan Nemutlu
- Hacettepe University Faculty of Pharmacy, Department of Analytical Chemistry, Ankara, Turkey
| | - Incilay Lay
- Hacettepe University Faculty of Medicine, Department of Biochemistry, Ankara, Turkey
| | - Arzu Saglam Ayhan
- Hacettepe University Faculty of Medicine, Department of Pathology, Ankara, Turkey
| | - Tolga Yildirim
- Hacettepe University Faculty of Medicine, Department of Nephrology, Ankara, Turkey
| | - Mustafa Arici
- Hacettepe University Faculty of Medicine, Department of Nephrology, Ankara, Turkey
| | - Seref Rahmi Yilmaz
- Hacettepe University Faculty of Medicine, Department of Nephrology, Ankara, Turkey
| | - Yunus Erdem
- Hacettepe University Faculty of Medicine, Department of Nephrology, Ankara, Turkey
| | - Bulent Altun
- Hacettepe University Faculty of Medicine, Department of Nephrology, Ankara, Turkey
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19
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Schrader M. Origins, Technological Advancement, and Applications of Peptidomics. Methods Mol Biol 2024; 2758:3-47. [PMID: 38549006 DOI: 10.1007/978-1-0716-3646-6_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Peptidomics is the comprehensive characterization of peptides from biological sources instead of heading for a few single peptides in former peptide research. Mass spectrometry allows to detect a multitude of peptides in complex mixtures and thus enables new strategies leading to peptidomics. The term was established in the year 2001, and up to now, this new field has grown to over 3000 publications. Analytical techniques originally developed for fast and comprehensive analysis of peptides in proteomics were specifically adjusted for peptidomics. Although it is thus closely linked to proteomics, there are fundamental differences with conventional bottom-up proteomics. Fundamental technological advancements of peptidomics since have occurred in mass spectrometry and data processing, including quantification, and more slightly in separation technology. Different strategies and diverse sources of peptidomes are mentioned by numerous applications, such as discovery of neuropeptides and other bioactive peptides, including the use of biochemical assays. Furthermore, food and plant peptidomics are introduced similarly. Additionally, applications with a clinical focus are included, comprising biomarker discovery as well as immunopeptidomics. This overview extensively reviews recent methods, strategies, and applications including links to all other chapters of this book.
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Affiliation(s)
- Michael Schrader
- Department of Bioengineering Sciences, Weihenstephan-Tr. University of Applied Sciences, Freising, Germany.
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20
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Li Z, Zeng N, Zhao X, Chen X, Liang G, Liu H, Lin J, Zheng P, Lin X, Zhou H, Zheng D. Urinary peptidome analysis in CKD and IgA nephropathy. Clin Kidney J 2023; 16:1965-1973. [PMID: 37915931 PMCID: PMC10616486 DOI: 10.1093/ckj/sfad211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Indexed: 11/03/2023] Open
Abstract
Background Chronic kidney disease (CKD) has emerged as a significant challenge to human health and economic stability in aging societies worldwide. Current clinical practice strategies remain insufficient for the early identification of kidney dysfunction, and the differential diagnosis of immunoglobulin A nephropathy (IgAN) predominantly relies on invasive kidney biopsy procedures. Methods First, we assessed a case-control cohort to obtain urine samples from healthy controls and biopsy-confirmed CKD patients. Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) was applied to detect urinary peptide and then these urinary peptide profiles were used to construct diagnostic models to distinguish CKD patients from controls and identify IgAN patients from other nephropathy patients. Furthermore, we assessed the robustness of the diagnostic models and their reproducibility by applying different algorithms. Results A rapid and accurate working platform for detecting CKD and its IgAN subtype based on urinary peptide pattern detected by MALDI-TOF MS was established. Naturally occurring urinary peptide profiles were used to construct a diagnostic model to distinguish CKD patients from controls and identify IgAN patients from other nephropathy patients. The performance of several algorithms was assessed and demonstrated that the robustness of the diagnostic models as well as their reproducibility were satisfactory. Conclusions The present findings suggest that the CKD-related and IgAN-specific urinary peptides discovered facilitate precise identification of CKD and its IgAN subtype, offering a dependable framework for screening conditions linked to renal dysfunction. This will aid in comprehending the pathogenesis of nephropathy and identifying potential protein targets for the clinical management of nephropathy.
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Affiliation(s)
- Zewen Li
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Nianyi Zeng
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Xin Zhao
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Xuedong Chen
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Guangqing Liang
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Haiyue Liu
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Division of Laboratory Medicine, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Jinyan Lin
- Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Peizhuang Zheng
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xingtao Lin
- Department of Pathology, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Hongwei Zhou
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Daowen Zheng
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Department of Gerontology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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21
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Ye S, Hu YP, Zhou Q, Zhang H, Xia ZZ, Zhao SZ, Wang Z, Wang SY, Wang XY, Zhang YK, Chen ZD, Mao GY, Zheng C. Lipidomics Profiling Reveals Serum Phospholipids Associated with Albuminuria in Early Type 2 Diabetic Kidney Disease. ACS OMEGA 2023; 8:36543-36552. [PMID: 37810655 PMCID: PMC10552467 DOI: 10.1021/acsomega.3c05504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 09/06/2023] [Indexed: 10/10/2023]
Abstract
Early screening and administration of DKD are beneficial for renal outcomes of type 2 diabetic patients. However, the current early diagnosis using the albuminuria/creatine ratio (ACR) contains limitations. This study aimed to compare serum lipidome variation between type 2 diabetes and early DKD patients with increased albuminuria through an untargeted lipidomics method to explore the potential lipid biomarkers for DKD identification. 92 type 2 diabetic patients were enrolled and divided into two groups: DM group (ACR < 3 mg/mmol, n = 49) and early DKD group (3 mg/mmol ≤ ACR < 30 mg/mmol, n = 43). Fasting serum was analyzed through an ultraperformance liquid mass spectrometry tandem chromatography system (LC-MS). Orthogonal partial least-squares discriminant analysis (OPLS-DA) and univariate and multivariate analysis were performed to filter differentially depressed lipids. Receiver operating characteristic (ROC) curves were used to estimate the diagnostic capability of potential lipid biomarkers. We found that serum phospholipids including phosphatidylserine (PS), sphingomyelin (SM), and phosphatidylcholine (PC) were significantly upregulated in the DKD group and were highly correlated with the ACR. In addition, a panel of two phospholipids including PS(27:0)-H and PS(30:2e)-H showed good performance to help clinical lipids in early DKD identification, which increased the area under the curve (AUC) from 0.568 to 0.954. The study exhibited the serum lipidome variation in early DKD patients, and the increased phospholipids might participate in the development of albuminuria. The panel of PS(27:0)-H and PS(30:2e)-H could be a potential biomarker for DKD diagnosis.
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Affiliation(s)
- Shu Ye
- Department
of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China
| | - Ye-peng Hu
- Department
of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China
| | - Qiao Zhou
- Department
of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China
| | - Hang Zhang
- Diabetes
Center and Department of Endocrinology, The Second Affiliated Hospital and Yuying Children’s Hospital
of Wenzhou Medical University, Wenzhou 325027, China
| | - Zhe-zheng Xia
- Center
on Evidence-Based Medicine & Clinical Epidemiological Research,
School of Public Health, Wenzhou Medical
University, Wenzhou 325035, China
| | - Shu-zhen Zhao
- Center
on Evidence-Based Medicine & Clinical Epidemiological Research,
School of Public Health, Wenzhou Medical
University, Wenzhou 325035, China
| | - Zhe Wang
- Department
of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China
| | - Sheng-yao Wang
- Department
of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China
| | - Xin-yi Wang
- Department
of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China
| | - Yi-kai Zhang
- Department
of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China
| | - Zhi-da Chen
- Department
of Nephrology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China
| | - Guang-yun Mao
- Center
on Evidence-Based Medicine & Clinical Epidemiological Research,
School of Public Health, Wenzhou Medical
University, Wenzhou 325035, China
| | - Chao Zheng
- Department
of Endocrinology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China
- Diabetes
Center and Department of Endocrinology, The Second Affiliated Hospital and Yuying Children’s Hospital
of Wenzhou Medical University, Wenzhou 325027, China
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22
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Zubair H, Azim S, Maluf DG, Mas VR, Martins PN. Contribution of Proteomics in Transplantation: Identification of Injury and Rejection Markers. Transplantation 2023; 107:2143-2154. [PMID: 36814094 DOI: 10.1097/tp.0000000000004542] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Solid organ transplantation saves thousands of lives suffering from end-stage diseases. Although early transplants experienced acute organ injury, medical breakthroughs, such as tissue typing, and use of immunosuppressive agents have considerably improved graft survival. However, the overall incidence of allograft injury and chronic rejection remains high. Often the clinical manifestations of organ injury or rejection are nonspecific and late. Current requirement for successful organ transplantation is the identification of reliable, accurate, disease-specific, noninvasive methods for the early diagnosis of graft injury or rejection. Development of noninvasive techniques is important to allow routine follow-ups without the discomfort and risks associated with a graft biopsy. Multiple biofluids have been successfully tested for the presence of potential proteomic biomarkers; these include serum, plasma, urine, and whole blood. Kidney transplant research has provided significant evidence to the potential of proteomics-based biomarkers for acute and chronic kidney rejection, delayed graft function, early detection of declining allograft health. Multiple proteins have been implicated as biomarkers; however, recent observations implicate the use of similar canonical pathways and biofunctions associated with graft injury/rejection with altered proteins as potential biomarkers. Unfortunately, the current biomarker studies lack high sensitivity and specificity, adding to the complexity of their utility in the clinical space. In this review, we first describe the high-throughput proteomics technologies and then discuss the outcomes of proteomics profiling studies in the transplantation of several organs. Existing literature provides hope that novel biomarkers will emerge from ongoing efforts and guide physicians in delivering specific therapies to prolong graft survival.
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Affiliation(s)
- Haseeb Zubair
- Surgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland, Baltimore, MD
| | - Shafquat Azim
- Surgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland, Baltimore, MD
| | - Daniel G Maluf
- Program in Transplantation, University of Maryland Medical System, Baltimore, MD
| | - Valeria R Mas
- Surgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland, Baltimore, MD
| | - Paulo N Martins
- Division of Organ Transplantation, Department of Surgery, University of Massachusetts, UMass Memorial Hospital, University of Massachusetts, Worcester, MA
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23
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Lin L, Ren J, Wang C, Mei M, Zheng L, Yang J. A set of urinary peptides can predict early renal damage in primary hypertension. J Hypertens 2023; 41:1653-1660. [PMID: 37602482 DOI: 10.1097/hjh.0000000000003539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
OBJECTIVES Renal diseases caused by primary hypertension (HTN) are often asymptomatic without sensitive markers for early diagnosis and prediction, easily progressing to severe and irreversible renal damage in patients with clinical manifestations. This study explored whether a set of urinary peptides could serve as a potential biomarker for early prediction of renal damage in HTN. METHODS Urinary peptides level of healthy individuals, HTN + normoalbuminuric and HTN + albuminuria patients were compared, and 22 baseline data including sex, age, renal function, hypertensive fundus lesions were collected. Patients diagnosed with HTN, albuminuria, and normal renal function were followed up. According to the follow-up results, the cut-off value of a set of urinary peptides in predicting hypertensive renal injury was calculated and analyzed in the high-risk and low-risk groups of HTN patients for its performance in detecting early hypertensive renal injury. RESULTS Among a sum of 319 participants, average urinary peptides level was significantly higher in patients with HTN than in normal individuals. A total of 147 HTN patients with normal albuminuria were followed up for a mean of 3.8 years. Thirty-five patients showed urinary albumin-to-creatinine ratio (uACR) at least 30 mg/g for three consecutive times. The receiver-operating characteristic (ROC) curve showed that the urinary peptides cut-off value for evaluating new-onset proteinuria in patients with HTN was 0.097. Based on this cut-off value, 39 and 108 patients were included in the high-risk and low-risk groups, respectively. Specifically, compared with patients in the low-risk group, those in the high-risk group showed significantly longer duration of HTN, higher proportions of hypertensive fundus lesions and at least 30 mg/g uACR, and higher levels of homocysteine (Hcy), cystatin C (CysC), beta-2 microglobulin (β2-MG), and uACR. 76.9% of high-risk patients had significantly higher new-onset proteinuria than the low-risk group. Correlation analysis demonstrated a positive correlation between urinary peptides and UACR ( r = 0.494, P < 0.001). The incidence of new-onset albuminuria was significantly higher in the high-risk group than in the low-risk group, as shown by Cox regression analysis. The areas under the curve of urinary peptides, Hcy, β2-MG and CysC were 0.925, 0.753, 0.796 and 0.769, respectively. CONCLUSION A set of urinary peptides is a predictor of new-onset proteinuria in patients with HTN, therefore, it can be used for diagnosing patients with early renal injury in patients with HTN, contributing to early prevention and treatment of hypertensive nephropathy.
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Affiliation(s)
- Lirong Lin
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital)
| | - Jiangwen Ren
- Department of Nephrology, Rheumatism and Immunology, Jiulongpo District People's Hospital of Chongqing
| | - Chunxuan Wang
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital)
| | - Mei Mei
- Department of Nephrology, Shapingba Hospital of Chongqing University, Chongqing, China
| | - Luquan Zheng
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital)
| | - Jurong Yang
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital)
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24
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Mischak H. Comment on 'A classifier based on 273 urinary peptides predicts early renal damage in primary hypertension' by Lin et al. J Hypertens 2023; 41:1666. [PMID: 37642594 DOI: 10.1097/hjh.0000000000003489] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Affiliation(s)
- Harald Mischak
- University of Glasgow, Glasgow, UK
- Mosaiques Diagnostics, Hannover, Germany
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25
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Maurer J, Grouzmann E, Eugster PJ. Tutorial review for peptide assays: An ounce of pre-analytics is worth a pound of cure. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1229:123904. [PMID: 37832388 DOI: 10.1016/j.jchromb.2023.123904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/04/2023] [Accepted: 10/05/2023] [Indexed: 10/15/2023]
Abstract
The recent increase in peptidomimetic-based medications and the growing interest in peptide hormones has brought new attention to the quantification of peptides for diagnostic purposes. Indeed, the circulating concentrations of peptide hormones in the blood provide a snapshot of the state of the body and could eventually lead to detecting a particular health condition. Although extremely useful, the quantification of such molecules, preferably by liquid chromatography coupled to mass spectrometry, might be quite tricky. First, peptides are subjected to hydrolysis, oxidation, and other post-translational modifications, and, most importantly, they are substrates of specific and nonspecific proteases in biological matrixes. All these events might continue after sampling, changing the peptide hormone concentrations. Second, because they include positively and negatively charged groups and hydrophilic and hydrophobic residues, they interact with their environment; these interactions might lead to a local change in the measured concentrations. A phenomenon such as nonspecific adsorption to lab glassware or materials has often a tremendous effect on the concentration and needs to be controlled with particular care. Finally, the circulating levels of peptides might be low (pico- or femtomolar range), increasing the impact of the aforementioned effects and inducing the need for highly sensitive instruments and well-optimized methods. Thus, despite the extreme diversity of these peptides and their matrixes, there is a common challenge for all the assays: the need to keep concentrations unchanged from sampling to analysis. While significant efforts are often placed on optimizing the analysis, few studies consider in depth the impact of pre-analytical steps on the results. By working through practical examples, this solution-oriented tutorial review addresses typical pre-analytical challenges encountered during the development of a peptide assay from the standpoint of a clinical laboratory. We provide tips and tricks to avoid pitfalls as well as strategies to guide all new developments. Our ultimate goal is to increase pre-analytical awareness to ensure that newly developed peptide assays produce robust and accurate results.
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Affiliation(s)
- Jonathan Maurer
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Eric Grouzmann
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Philippe J Eugster
- Service of Clinical Pharmacology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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26
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Hobson S, Mavrogeorgis E, He T, Siwy J, Ebert T, Kublickiene K, Stenvinkel P, Mischak H. Urine Peptidome Analysis Identifies Common and Stage-Specific Markers in Early Versus Advanced CKD. Proteomes 2023; 11:25. [PMID: 37755704 PMCID: PMC10534506 DOI: 10.3390/proteomes11030025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/28/2023] Open
Abstract
Given the pathophysiological continuum of chronic kidney disease (CKD), different molecular determinants affecting progression may be associated with distinct disease phases; thus, identification of these players are crucial for guiding therapeutic decisions, ideally in a non-invasive, repeatable setting. Analyzing the urinary peptidome has been proven an efficient method for biomarker determination in CKD, among other diseases. In this work, after applying several selection criteria, urine samples from 317 early (stage 2) and advanced (stage 3b-5) CKD patients were analyzed using capillary electrophoresis coupled to mass spectrometry (CE-MS). The entire two groups were initially compared to highlight the respective pathophysiology between initial and late disease phases. Subsequently, slow and fast progressors were compared within each group in an attempt to distinguish phase-specific disease progression molecules. The early vs. late-stage CKD comparison revealed 929 significantly different peptides, most of which were downregulated and 268 with collagen origins. When comparing slow vs. fast progressors in early stage CKD, 42 peptides were significantly altered, 30 of which were collagen peptide fragments. This association suggests the development of structural changes may be reversible at an early stage. The study confirms previous findings, based on its multivariable-matched progression groups derived from a large initial cohort. However, only four peptide fragments differed between slow vs. fast progressors in late-stage CKD, indicating different pathogenic processes occur in fast and slow progressors in different stages of CKD. The defined peptides associated with CKD progression at early stage might potentially constitute a non-invasive approach to improve patient management by guiding (personalized) intervention.
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Affiliation(s)
- Sam Hobson
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 141 52 Stockholm, Sweden; (S.H.); (T.E.); (K.K.); (P.S.)
| | - Emmanouil Mavrogeorgis
- Mosaiques Diagnostics GmbH, 30659 Hannover, Germany; (E.M.); (T.H.); (J.S.)
- Institute for Molecular Cardiovascular Research (IMCAR), RWTH Aachen University Hospital, 52074 Aachen, Germany
| | - Tianlin He
- Mosaiques Diagnostics GmbH, 30659 Hannover, Germany; (E.M.); (T.H.); (J.S.)
| | - Justyna Siwy
- Mosaiques Diagnostics GmbH, 30659 Hannover, Germany; (E.M.); (T.H.); (J.S.)
| | - Thomas Ebert
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 141 52 Stockholm, Sweden; (S.H.); (T.E.); (K.K.); (P.S.)
- Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Karolina Kublickiene
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 141 52 Stockholm, Sweden; (S.H.); (T.E.); (K.K.); (P.S.)
| | - Peter Stenvinkel
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 141 52 Stockholm, Sweden; (S.H.); (T.E.); (K.K.); (P.S.)
| | - Harald Mischak
- Mosaiques Diagnostics GmbH, 30659 Hannover, Germany; (E.M.); (T.H.); (J.S.)
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Lin L, Wang C, Ren J, Mei M, Zheng L, Yang J. A classifier based on 273 urinary peptides predicts early renal damage in primary hypertension. J Hypertens 2023; 41:1306-1312. [PMID: 37199562 PMCID: PMC10328506 DOI: 10.1097/hjh.0000000000003467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 04/20/2023] [Indexed: 05/19/2023]
Abstract
OBJECTIVES Renal diseases caused by primary hypertension (HTN) are often asymptomatic without sensitive markers for early diagnosis and prediction, easily progressing to severe and irreversible renal damage in patients with clinical manifestations. This study explored whether a classifier developed based on 273 urinary peptides (CKD273) could serve as a potential biomarker for early prediction of renal damage in HTN. METHODS Urinary CKD273 level of healthy individuals, HTN + normoalbuminuric and HTN + albuminuria patients were compared, and 22 baseline data including sex, age, renal function, and hypertensive fundus lesions were collected. Patients diagnosed with HTN, albuminuria, and normal renal function were followed up. According to the follow-up results, the cut-off value of CKD273 in predicting hypertensive renal injury was calculated and analyzed in the high-risk and low-risk groups of HTN patients for its performance in detecting early hypertensive renal injury. RESULTS Among a sum of 319 participants, average urinary CKD273 level was significantly higher in patients with HTN than in normal individuals. A total of 147 HTN patients with normal albuminuria were followed up for a mean of 3.8 years. Thirty-five patients showed urinary albumin-to-creatinine ratio (uACR) at least 30 mg/g for three consecutive times. The receiver-operating characteristic (ROC) curve showed that the urinary CKD273 cut-off value for evaluating new-onset proteinuria in patients with HTN was 0.097. Based on this cut-off value, 39 and 108 patients were included in the high-risk and low-risk groups, respectively. Specifically, compared with patients in the low-risk group, those in the high-risk group showed significantly longer duration of HTN, higher proportions of hypertensive fundus lesions and at least 30 mg/g uACR, and higher levels of homocysteine (Hcy), cystatin C (CysC), beta-2 microglobulin (β2-MG), and uACR. 76.9% of high-risk patients had significantly higher new-onset proteinuria than the low-risk group. Correlation analysis demonstrated a positive correlation between urinary CKD273 and UACR ( r = 0.494, P = 0.000). The incidence of new-onset albuminuria was significantly higher in the high-risk group than in the low-risk group, as shown by Cox regression analysis. The areas under the curve of CKD273, Hcy, β2-MG, and CysC were 0.925, 0.753, 0.796, and 0.769, respectively. CONCLUSION Urinary CKD273 is a predictor of new-onset proteinuria in patients with HTN, therefore, it can be used for diagnosing patients with early renal injury in patients with HTN, contributing to early prevention and treatment of hypertensive nephropathy.
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Affiliation(s)
- Lirong Lin
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital)
| | - Chunxuan Wang
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital)
| | - Jiangwen Ren
- Department of Nephrology, rheumatism and Immunology, Jiulongpo District People's Hospital of Chongqing
| | - Mei Mei
- Department of Nephrology, Shapingba Hospital of Chongqing University, Chongqing, China
| | - Luquan Zheng
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital)
| | - Jurong Yang
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital)
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28
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Lin JS, Nano J, Petrera A, Hauck SM, Zeller T, Koenig W, Müller CL, Peters A, Thorand B. Proteomic profiling of longitudinal changes in kidney function among middle-aged and older men and women: the KORA S4/F4/FF4 study. BMC Med 2023; 21:245. [PMID: 37407978 DOI: 10.1186/s12916-023-02962-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 06/26/2023] [Indexed: 07/07/2023] Open
Abstract
BACKGROUND Due to the asymptomatic nature of the early stages, chronic kidney disease (CKD) is usually diagnosed at late stages and lacks targeted therapy, highlighting the need for new biomarkers to better understand its pathophysiology and to be used for early diagnosis and therapeutic targets. Given the close relationship between CKD and cardiovascular disease (CVD), we investigated the associations of 233 CVD- and inflammation-related plasma proteins with kidney function decline and aimed to assess whether the observed associations are causal. METHODS We included 1140 participants, aged 55-74 years at baseline, from the Cooperative Health Research in the Region of Augsburg (KORA) cohort study, with a median follow-up time of 13.4 years and 2 follow-up visits. We measured 233 plasma proteins using a proximity extension assay at baseline. In the discovery analysis, linear regression models were used to estimate the associations of 233 proteins with the annual rate of change in creatinine-based estimated glomerular filtration rate (eGFRcr). We further investigated the association of eGFRcr-associated proteins with the annual rate of change in cystatin C-based eGFR (eGFRcys) and eGFRcr-based incident CKD. Two-sample Mendelian randomization was used to infer causality. RESULTS In the fully adjusted model, 66 out of 233 proteins were inversely associated with the annual rate of change in eGFRcr, indicating that higher baseline protein levels were associated with faster eGFRcr decline. Among these 66 proteins, 21 proteins were associated with both the annual rate of change in eGFRcys and incident CKD. Mendelian randomization analyses on these 21 proteins suggest a potential causal association of higher tumor necrosis factor receptor superfamily member 11A (TNFRSF11A) level with eGFR decline. CONCLUSIONS We reported 21 proteins associated with kidney function decline and incident CKD and provided preliminary evidence suggesting a potential causal association between TNFRSF11A and kidney function decline. Further Mendelian randomization studies are needed to establish a conclusive causal association.
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Affiliation(s)
- Jie-Sheng Lin
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany
| | - Jana Nano
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Agnese Petrera
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Stefanie M Hauck
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Tanja Zeller
- University Center of Cardiovascular Science, University Heart and Vascular Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Hamburg, Hamburg, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Christian L Müller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Helmholtz AI, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Department of Statistics, Ludwig-Maximilians-Universität München, Munich, Germany
- Center for Computational Mathematics, Flatiron Institute, New York, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
- German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany.
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29
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Hansen CS, Rasmussen DGK, Hansen TW, Nielsen SH, Theilade S, Karsdal MA, Genovese F, Rossing P. Collagen turnover is associated with cardiovascular autonomic and peripheral neuropathy in type 1 diabetes: novel pathophysiological mechanism? Cardiovasc Diabetol 2023; 22:158. [PMID: 37386485 PMCID: PMC10311721 DOI: 10.1186/s12933-023-01891-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 06/17/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Diabetic cardiovascular autonomic neuropathy (CAN) and distal symmetrical polyneuropathy (DSPN) are severe diabetic complications. Collagen type VI (COL6) and III (COL3) have been associated with nerve function. We investigated if markers of COL6 formation (PRO-C6) and COL3 degradation (C3M) were associated with neuropathy in people with type 1 diabetes (T1D). METHODS In a cross-sectional study including 300 people with T1D, serum and urine PRO-C6 and C3M were obtained. CAN was assessed by cardiovascular reflex tests: heart rate response to deep breathing (E/I ratio), to standing (30/15 ratio) and to the Valsalva maneuver (VM). Two or three pathological CARTs constituted CAN. DSPN was assessed by biothesiometry. Symmetrical vibration sensation threshold above 25 V constituted DSPN. RESULTS Participants were (mean (SD)) 55.7 (9.3) years, 51% were males, diabetes duration was 40.0 (8.9) years, HbA1c was 63 (11 mmol/mol, (median (IQR)) serum PRO-C6 was 7.8 (6.2;11.0) ng/ml and C3M 8.3 (7.1;10.0) ng/ml. CAN and DSPN were diagnosed in 34% and 43% of participants, respectively. In models adjusted for relevant confounders a doubling of serum PRO-C6, was significantly associated with odds ratio > 2 for CAN and > 1 for DSPN, respectively. Significance was retained after additional adjustments for eGFR only for CAN. Higher serum C3M was associated with presence of CAN, but not after adjustment for eGFR. C3M was not associated with DSPN. Urine PRO-C6 analyses indicated similar associations. CONCLUSIONS Results show previously undescribed associations between markers of collagen turnover and risk of CAN and to a lesser degree DSPN in T1D.
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Affiliation(s)
- Christian S. Hansen
- Steno Diabetes Center Copenhagen, Niels Steensens Vej 2-4, 2820 Gentofte, Denmark
| | | | - Tine W. Hansen
- Steno Diabetes Center Copenhagen, Niels Steensens Vej 2-4, 2820 Gentofte, Denmark
| | - Signe Holm Nielsen
- Nordic Bioscience, Herlev, Denmark
- Technical University of Denmark, Lyngby, Denmark
| | - Simone Theilade
- Steno Diabetes Center Copenhagen, Niels Steensens Vej 2-4, 2820 Gentofte, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Peter Rossing
- Steno Diabetes Center Copenhagen, Niels Steensens Vej 2-4, 2820 Gentofte, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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30
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Marx D, Anglicheau D, Caillard S, Moulin B, Kochman A, Mischak H, Latosinska A, Bienaimé F, Prié D, Marquet P, Perrin P, Gwinner W, Metzger J. Urinary collagen peptides: Source of markers for bone metabolic processes in kidney transplant recipients. Proteomics Clin Appl 2023:e2200118. [PMID: 37365945 DOI: 10.1002/prca.202200118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 04/21/2023] [Accepted: 06/06/2023] [Indexed: 06/28/2023]
Abstract
INTRODUCTION Kidney transplant recipients (KTRs) are at an increased risk of fractures. Total urinary hydroxyproline excretion served as marker for bone resorption (BR) but was replaced by β-CrossLaps (CTX), a C-terminal collagen α-1(I) chain (COL1A1) telopeptide. We investigated the low-molecular-weight urinary proteome for peptides associated with changes in bone metabolism after kidney transplantation. METHODS Clinical and laboratory data including serum levels of CTX in 96 KTR from two nephrology centers were correlated with signal intensities of urinary peptides identified by capillary electrophoresis mass spectrometry. RESULTS Eighty-two urinary peptides were significantly correlated with serum CTX levels. COL1A1 was the predominant peptide source. Oral bisphosphonates were administered for decreased bone density in an independent group of 11 KTR and their effect was evaluated on the aforementioned peptides. Study of the peptides cleavage sites revealed a signature of Cathepsin K and MMP9. Seventeen of these peptides were significantly associated with bisphosphonate treatment, all showing a marked reduction in their excretion levels compared to baseline. DISCUSSION This study provides strong evidence for the presence of collagen peptides in the urine of KTR that are associated with BR and that are sensitive to bisphosphonate treatment. Their assessment might become a valuable tool to monitor bone status in KTR.
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Affiliation(s)
- David Marx
- Department of Nephrology and Kidney Transplantation, Nouvel Hôpital Civil, Strasbourg, France
- INSERM UMR-S1109, FMTS, Strasbourg, France
- Hospital of Sélestat, Sélestat, France
| | - Dany Anglicheau
- INSERM U1151, Paris, France
- Department of Nephrology and Kidney Transplantation, Necker Hospital, AP-HP, Paris, France
- Medical Faculty, Paris University, Paris, France
| | - Sophie Caillard
- Department of Nephrology and Kidney Transplantation, Nouvel Hôpital Civil, Strasbourg, France
- INSERM UMR-S1109, FMTS, Strasbourg, France
| | - Bruno Moulin
- Department of Nephrology and Kidney Transplantation, Nouvel Hôpital Civil, Strasbourg, France
- INSERM UMR-S1109, FMTS, Strasbourg, France
| | - Audrey Kochman
- Department of Nephrology and Kidney Transplantation, Nouvel Hôpital Civil, Strasbourg, France
| | | | | | - Frank Bienaimé
- INSERM U1151, Paris, France
- Department of Nephrology and Kidney Transplantation, Necker Hospital, AP-HP, Paris, France
- Department of Physiology, Necker Hospital, AP-HP, Paris, France
| | - Dominique Prié
- INSERM U1151, Paris, France
- Department of Nephrology and Kidney Transplantation, Necker Hospital, AP-HP, Paris, France
- Department of Physiology, Necker Hospital, AP-HP, Paris, France
| | - Pierre Marquet
- Pharmacology & Transplantation, INSERM U1248, Université de Limoges, Limoges, France
| | - Peggy Perrin
- Department of Nephrology and Kidney Transplantation, Nouvel Hôpital Civil, Strasbourg, France
- INSERM UMR-S1109, FMTS, Strasbourg, France
| | - Wilfried Gwinner
- Department of Nephrology, Hannover Medical School, Hannover, Germany
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31
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González MA, Barrera-Chacón R, Peña FJ, Belinchón-Lorenzo S, Robles NR, Pérez-Merino EM, Martín-Cano FE, Duque FJ. Proteomic research on new urinary biomarkers of renal disease in canine leishmaniosis: Survival and monitoring response to treatment. Res Vet Sci 2023; 161:180-190. [PMID: 37419051 DOI: 10.1016/j.rvsc.2023.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 06/12/2023] [Accepted: 06/18/2023] [Indexed: 07/09/2023]
Abstract
The objective of our study was to search for survival biomarkers (SB) and treatment response monitoring biomarkers (TRMB) in the urinary proteome of dogs with renal disease secondary to canine leishmaniosis (CanL), using UHPLC-MS/MS. The proteomic data are available via ProteomeXchange with identifier PXD042578. Initially, a group of 12 dogs was evaluated and divided into survivors (SG; n = 6) and nonsurvivors (NSG; n = 6). A total of 972 proteins were obtained from the evaluated samples. Then, bioinformatic analysis reduced them to 6 proteins like potential SB increased in the NSG, specifically, Haemoglobin subunit Alpha 1, Complement Factor I, Complement C5, Fibrinogen beta chain (fragment), Peptidase S1 domain-containing protein, and Fibrinogen gamma chain. Afterwards, SG was used to search for TRMB, studying their urine at 0, 30, and 90 days, and 9 proteins that decreased after treatment were obtained: Apolipoprotein E, Cathepsin B, Cystatin B, Cystatin-C-like, Lysozyme, Monocyte differentiation CD14, Pancreatitis-associated precursor protein, Profilin, and Protein FAM3C. Finally, enrichment analysis provided information about the biological mechanisms in which these proteins are involved. In conclusion, this study provides 15 new candidate urinary biomarkers and an improved understanding of the pathogenesis of kidney disease in CanL.
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Affiliation(s)
- Mario A González
- Animal Medicine Department, University of Extremadura, 10003 Cáceres, Spain.
| | | | - Fernando J Peña
- Animal Medicine Department, University of Extremadura, 10003 Cáceres, Spain; Laboratory of Equine Reproduction and Equine Spermatology, Veterinary Teaching Hospital, University of Extremadura, 10003 Cáceres, Spain
| | - Silvia Belinchón-Lorenzo
- LeishmanCeres Laboratory (GLP Compliance Certified), Parasitology Unit, Veterinary Teaching Hospital, University of Extremadura, 10003 Cáceres, Spain
| | - Nicolás R Robles
- Nephrology Service, Badajoz University Hospital, University of Extremadura, 06080 Badajoz, Spain
| | - Eva M Pérez-Merino
- Animal Medicine Department, University of Extremadura, 10003 Cáceres, Spain
| | - Francisco E Martín-Cano
- Laboratory of Equine Reproduction and Equine Spermatology, Veterinary Teaching Hospital, University of Extremadura, 10003 Cáceres, Spain
| | - Francisco J Duque
- Animal Medicine Department, University of Extremadura, 10003 Cáceres, Spain
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32
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Schlosser P, Grams ME, Rhee EP. Proteomics: Progress and Promise of High-Throughput Proteomics in Chronic Kidney Disease. Mol Cell Proteomics 2023; 22:100550. [PMID: 37076045 PMCID: PMC10326701 DOI: 10.1016/j.mcpro.2023.100550] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/20/2023] [Accepted: 03/28/2023] [Indexed: 04/21/2023] Open
Abstract
Current proteomic tools permit the high-throughput analysis of the blood proteome in large cohorts, including those enriched for chronic kidney disease (CKD) or its risk factors. To date, these studies have identified numerous proteins associated with cross-sectional measures of kidney function, as well as with the longitudinal risk of CKD progression. Representative signals that have emerged from the literature include an association between levels of testican-2 and favorable kidney prognosis and an association between levels of TNFRSF1A and TNFRSF1B and worse kidney prognosis. For these and other associations, however, understanding whether the proteins play a causal role in kidney disease pathogenesis remains a fundamental challenge, especially given the strong impact that kidney function can have on blood protein levels. Prior to investing in dedicated animal models or randomized trials, methods that leverage the availability of genotyping in epidemiologic cohorts-including Mendelian randomization, colocalization analyses, and proteome-wide association studies-can add evidence for causal inference in CKD proteomics research. In addition, integration of large-scale blood proteome analyses with urine and tissue proteomics, as well as improved assessment of posttranslational protein modifications (e.g., carbamylation), represent important future directions. Taken together, these approaches seek to translate progress in large-scale proteomic profiling into the promise of improved diagnostic tools and therapeutic target identification in kidney disease.
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Affiliation(s)
- Pascal Schlosser
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
| | - Morgan E Grams
- Division of Precision Medicine, Department of Medicine, New York University, New York, New York, USA
| | - Eugene P Rhee
- Nephrology Division and Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
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33
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De Beer D, Mels CMC, Schutte AE, Delles C, Mary S, Mullen W, Latosinska A, Mischak H, Kruger R. Identifying a urinary peptidomics profile for hypertension in young adults: The African-PREDICT study: Urinary peptidomics and hypertension: Urinary peptidomics and hypertension. Proteomics 2023; 23:e2200444. [PMID: 36943111 DOI: 10.1002/pmic.202200444] [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: 10/24/2022] [Revised: 01/27/2023] [Accepted: 03/02/2023] [Indexed: 03/23/2023]
Abstract
Hypertension is one of the most important and complex risk factors for cardiovascular diseases (CVDs). By using urinary peptidomics analyses, we aimed to identify peptides associated with hypertension, building a framework for future research towards improved prediction and prevention of premature development of CVD. We included 78 hypertensive and 79 normotensive participants from the African-PREDICT study (aged 20-30 years), matched for sex (51% male) and ethnicity (49% black and 51% white). Urinary peptidomics data were acquired using capillary-electrophoresis-time-of-flight-mass-spectrometry. Hypertension-associated peptides were identified and combined into a support vector machine-based multidimensional classifier. When comparing the peptide data between the normotensive and hypertensive groups, 129 peptides were nominally differentially abundant (Wilcoxon p < 0.05). Nonetheless, only three peptides, all derived from collagen alpha-1(III), remained significantly different after rigorous adjustments for multiple comparisons. The 37 most significant peptides (all p ≤ 0.001) served as basis for the development of a classifier, with 20 peptides being combined into a unifying score, resulting in an AUC of 0.85 in the ROC analysis (p < 0.001), with 83% sensitivity at 80% specificity. Our study suggests potential value of urinary peptides in the classification of hypertension, which could enable earlier diagnosis and better understanding of the pathophysiology of hypertension and premature cardiovascular disease development.
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Affiliation(s)
- Dalene De Beer
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
| | - Catharina M C Mels
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
| | - Aletta E Schutte
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
- School of Population Health, The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Sheon Mary
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - William Mullen
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | | | - Ruan Kruger
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
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34
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Catanese L, Siwy J, Mischak H, Wendt R, Beige J, Rupprecht H. Recent Advances in Urinary Peptide and Proteomic Biomarkers in Chronic Kidney Disease: A Systematic Review. Int J Mol Sci 2023; 24:ijms24119156. [PMID: 37298105 DOI: 10.3390/ijms24119156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Biomarker development, improvement, and clinical implementation in the context of kidney disease have been a central focus of biomedical research for decades. To this point, only serum creatinine and urinary albumin excretion are well-accepted biomarkers in kidney disease. With their known blind spot in the early stages of kidney impairment and their diagnostic limitations, there is a need for better and more specific biomarkers. With the rise in large-scale analyses of the thousands of peptides in serum or urine samples using mass spectrometry techniques, hopes for biomarker development are high. Advances in proteomic research have led to the discovery of an increasing amount of potential proteomic biomarkers and the identification of candidate biomarkers for clinical implementation in the context of kidney disease management. In this review that strictly follows the PRISMA guidelines, we focus on urinary peptide and especially peptidomic biomarkers emerging from recent research and underline the role of those with the highest potential for clinical implementation. The Web of Science database (all databases) was searched on 17 October 2022, using the search terms "marker *" OR biomarker * AND "renal disease" OR "kidney disease" AND "proteome *" OR "peptid *" AND "urin *". English, full-text, original articles on humans published within the last 5 years were included, which had been cited at least five times per year. Studies based on animal models, renal transplant studies, metabolite studies, studies on miRNA, and studies on exosomal vesicles were excluded, focusing on urinary peptide biomarkers. The described search led to the identification of 3668 articles and the application of inclusion and exclusion criteria, as well as abstract and consecutive full-text analyses of three independent authors to reach a final number of 62 studies for this manuscript. The 62 manuscripts encompassed eight established single peptide biomarkers and several proteomic classifiers, including CKD273 and IgAN237. This review provides a summary of the recent evidence on single peptide urinary biomarkers in CKD, while emphasizing the increasing role of proteomic biomarker research with new research on established and new proteomic biomarkers. Lessons learned from the last 5 years in this review might encourage future studies, hopefully resulting in the routine clinical applicability of new biomarkers.
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Affiliation(s)
- Lorenzo Catanese
- Department of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, 95447 Bayreuth, Germany
- Kuratorium for Dialysis and Transplantation (KfH), 95445 Bayreuth, Germany
- Medizincampus Oberfranken, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Justyna Siwy
- Mosaiques Diagnostics GmbH, 30659 Hannover, Germany
| | | | - Ralph Wendt
- Department of Nephrology, St. Georg Hospital Leipzig, 04129 Leipzig, Germany
| | - Joachim Beige
- Department of Nephrology, St. Georg Hospital Leipzig, 04129 Leipzig, Germany
- Department of Internal Medicine II, Martin-Luther-University Halle/Wittenberg, 06108 Halle/Saale, Germany
- Kuratorium for Dialysis and Transplantation (KfH), 04129 Leipzig, Germany
| | - Harald Rupprecht
- Department of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, 95447 Bayreuth, Germany
- Kuratorium for Dialysis and Transplantation (KfH), 95445 Bayreuth, Germany
- Medizincampus Oberfranken, Friedrich-Alexander-University Erlangen-Nürnberg, 91054 Erlangen, Germany
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35
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Jiang X, Liu X, Qu X, Zhu P, Wo F, Xu X, Jin J, He Q, Wu J. Integration of metabolomics and peptidomics reveals distinct molecular landscape of human diabetic kidney disease. Theranostics 2023; 13:3188-3203. [PMID: 37351171 PMCID: PMC10283058 DOI: 10.7150/thno.80435] [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: 11/02/2022] [Accepted: 04/17/2023] [Indexed: 06/24/2023] Open
Abstract
Diabetic kidney disease (DKD) is the most common microvascular complication of diabetes, and there is an urgent need to discover reliable biomarkers for early diagnosis. Here, we established an effective urine multi-omics platform and integrated metabolomics and peptidomics to investigate the biological changes during DKD pathogenesis. Methods: Totally 766 volunteers (221 HC, 198 T2DM, 175 early DKD, 125 overt DKD, and 47 grey-zone T2DM patients with abnormal urinary mALB concentration) were included in this study. Non-targeted metabolic fingerprints of urine samples were acquired on matrix-free LDI-MS platform by the tip-contact extraction method using fluorinated ethylene propylene coated silicon nanowires chips (FEP@SiNWs), while peptide profiles hidden in urine samples were uncovered by MALDI-TOF MS after capturing urine peptides by porous silicon microparticles. Results: After multivariate analysis, ten metabolites and six peptides were verified to be stepwise regulated in different DKD stages. The altered metabolic pathways and biological processes associated with the DKD pathogenesis were concentrated in amino acid metabolism and cellular protein metabolic process, which were supported by renal transcriptomics. Interestingly, multi-omics significantly increased the diagnostic accuracy for both early DKD diagnosis and DKD status discrimination. Combined with machine learning, a stepwise prediction model was constructed and 89.9% of HC, 75.5% of T2DM, 69.6% of early DKD and 75.7% of overt DKD subjects in the external validation cohort were correctly classified. In addition, 87.5% of grey-zone patients were successfully distinguished from T2DM patients. Conclusion: This multi-omics platform displayed a satisfactory ability to explore molecular information and provided a new insight for establishing effective DKD management.
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Affiliation(s)
- Xinrong Jiang
- Institution of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
| | - Xingyue Liu
- Institution of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
| | - Xuetong Qu
- Institution of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
| | - Pingya Zhu
- Well-healthcare Technologies Co., Hangzhou, 310051, China
| | - Fangjie Wo
- Well-healthcare Technologies Co., Hangzhou, 310051, China
| | - Xinran Xu
- Institution of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
| | - Juan Jin
- Department of Nephrology, The First People's Hospital of Hangzhou Lin'an District, Affiliated Lin'an People's Hospital of Hangzhou Medical College, Hangzhou, 311300, China
| | - Qiang He
- Department of Nephrology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Provincial Hospital of Traditional Chinese Medicine, Hangzhou, 310006, China
| | - Jianmin Wu
- Institution of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
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36
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Sidor N, Velenosi TJ, Lajoie GA, Filler G, House AA, Weir MA, Thomson BKA, Garg AX, Renaud JB, McDowell T, Knauer MJ, Tirona RG, Noble R, Selby N, Taal M, Urquhart BL. Investigation of N, N, N-Trimethyl-L-alanyl-L-proline Betaine (TMAP) as a Biomarker of Kidney Function. ACS OMEGA 2023; 8:15160-15167. [PMID: 37151562 PMCID: PMC10157663 DOI: 10.1021/acsomega.3c00153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/02/2023] [Indexed: 05/09/2023]
Abstract
Glomerular filtration rate (GFR) is the most widely used tool for the measurement of kidney function, but endogenous biomarkers such as cystatin C and creatinine have limitations. A previous metabolomic study revealed N,N,N-trimethyl-L-alanyl-L-proline betaine (TMAP) to be reflective of kidney function. In this study, we developed a quantitative LCMS assay for the measurement of TMAP and evaluated TMAP as a biomarker of GFR. An assay to measure TMAP was developed using liquid chromatography-mass spectrometry. After validation of the method, we applied it to plasma samples from three distinct kidney disease patient cohorts: nondialysis chronic kidney disease (CKD) patients, patients receiving peritoneal and hemodialysis, and living kidney donors. We investigated whether TMAP was conserved in other mammalian and nonmammalian species, by analyzing plasma samples from Wistar rats with diet-induced CKD and searching for putative matches to the m/z for TMAP and its known fragments in the raw sample data repository "Metabolomics Workbench". The assay can measure plasma TMAP at a lower limit of quantitation (100 ng/mL) with an interday precision and accuracy of 12.8 and 12.1%, respectively. In all three patient cohorts, TMAP concentrations are significantly higher in patients with CKD than in controls with a normal GFR. Further, TMAP concentrations are also elevated in rats with CKD and TMAP is present in the sap produced from Acer saccharum trees. TMAP concentration is inversely related to GFR suggesting that it is a marker of kidney function. TMAP is present in nonmammalian species suggesting that it is part of a biologically conserved process.
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Affiliation(s)
- Nicole
A. Sidor
- Department
of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario N6A 3K7, Canada
| | - Thomas J. Velenosi
- Faculty
of Pharmaceutical Sciences, University of
British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Gilles A. Lajoie
- Department
of Biochemistry, University of Western Ontario, London, Ontario N6G 2V4, Canada
| | - Guido Filler
- Department
of Pediatrics, Children’s Hospital, London Health Science Center, University of Western Ontario, London, Ontario N6A 5W9, Canada
- Department
of Pathology and Laboratory Medicine, Schulich School of Medicine
and Dentistry, University of Western Ontario, London, Ontario N6G 2V4, Canada
- Division
of Nephrology, Department of Medicine, Schulich School of Medicine
and Dentistry, University of Western Ontario, London, Ontario N6A 5A5, Canada
| | - Andrew A. House
- Division
of Nephrology, Department of Medicine, Schulich School of Medicine
and Dentistry, University of Western Ontario, London, Ontario N6A 5A5, Canada
| | - Matthew A. Weir
- Division
of Nephrology, Department of Medicine, Schulich School of Medicine
and Dentistry, University of Western Ontario, London, Ontario N6A 5A5, Canada
| | - Benjamin KA Thomson
- Division
of Nephrology, Department of Medicine, Schulich School of Medicine
and Dentistry, University of Western Ontario, London, Ontario N6A 5A5, Canada
| | - Amit X. Garg
- Division
of Nephrology, Department of Medicine, Schulich School of Medicine
and Dentistry, University of Western Ontario, London, Ontario N6A 5A5, Canada
| | - Justin B. Renaud
- London
Research and Development Center, Agriculture
and Agri-Food Canada, 1391 Sandford Street, London, Ontario N5V 4T3, Canada
| | - Tim McDowell
- London
Research and Development Center, Agriculture
and Agri-Food Canada, 1391 Sandford Street, London, Ontario N5V 4T3, Canada
| | - Michael J. Knauer
- Department
of Pathology and Laboratory Medicine, Schulich School of Medicine
and Dentistry, University of Western Ontario, London, Ontario N6A 5C1, Canada
| | - Rommel G. Tirona
- Department
of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario N6A 3K7, Canada
| | - Rebecca Noble
- Center
for Kidney Research and Innovation, School of Medicine, University of Nottingham, Nottingham NG7 2RD, U.K.
| | - Nicholas Selby
- Center
for Kidney Research and Innovation, School of Medicine, University of Nottingham, Nottingham NG7 2RD, U.K.
| | - Maarten Taal
- Center
for Kidney Research and Innovation, School of Medicine, University of Nottingham, Nottingham NG7 2RD, U.K.
| | - Bradley L. Urquhart
- Department
of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario N6A 3K7, Canada
- Division
of Nephrology, Department of Medicine, Schulich School of Medicine
and Dentistry, University of Western Ontario, London, Ontario N6A 5A5, Canada
- . Tel.: (519)661-2111
x.83756. Fax: (519)661-3827
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37
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Rossing P, Frimodt-Møller M, Persson F. Precision Medicine and/or Biomarker Based Therapy in T2DM: Ready for Prime Time? Semin Nephrol 2023; 43:151430. [PMID: 37862744 DOI: 10.1016/j.semnephrol.2023.151430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2023]
Abstract
Approximately 30-40% of people with type 2 diabetes mellitus develop chronic kidney disease. This is characterised by elevated blood pressure, declining kidney function and enhanced cardiovascular morbidity and mortality. Increased albuminuria and decreasing estimated glomerular function has to be evaluated regularly to diagsnose kidney disease. New biomarkers may facilitate early diagnosis and provide infomation on undlying pathology thereby supporting early precision intervention for the optimal benefit. A number of biomarkers have been suggested but are not yet implemented in clinical practice. iI the future such bimarkers may pave the way for personalized treatment.
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Affiliation(s)
- Peter Rossing
- Complications Research, Steno Diabetes Center Copenhagen, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
| | | | - Frederik Persson
- Complications Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
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38
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Wu Z, Lohmöller J, Kuhl C, Wehrle K, Jankowski J. Use of Computation Ecosystems to Analyze the Kidney-Heart Crosstalk. Circ Res 2023; 132:1084-1100. [PMID: 37053282 DOI: 10.1161/circresaha.123.321765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
The identification of mediators for physiologic processes, correlation of molecular processes, or even pathophysiological processes within a single organ such as the kidney or heart has been extensively studied to answer specific research questions using organ-centered approaches in the past 50 years. However, it has become evident that these approaches do not adequately complement each other and display a distorted single-disease progression, lacking holistic multilevel/multidimensional correlations. Holistic approaches have become increasingly significant in understanding and uncovering high dimensional interactions and molecular overlaps between different organ systems in the pathophysiology of multimorbid and systemic diseases like cardiorenal syndrome because of pathological heart-kidney crosstalk. Holistic approaches to unraveling multimorbid diseases are based on the integration, merging, and correlation of extensive, heterogeneous, and multidimensional data from different data sources, both -omics and nonomics databases. These approaches aimed at generating viable and translatable disease models using mathematical, statistical, and computational tools, thereby creating first computational ecosystems. As part of these computational ecosystems, systems medicine solutions focus on the analysis of -omics data in single-organ diseases. However, the data-scientific requirements to address the complexity of multimodality and multimorbidity reach far beyond what is currently available and require multiphased and cross-sectional approaches. These approaches break down complexity into small and comprehensible challenges. Such holistic computational ecosystems encompass data, methods, processes, and interdisciplinary knowledge to manage the complexity of multiorgan crosstalk. Therefore, this review summarizes the current knowledge of kidney-heart crosstalk, along with methods and opportunities that arise from the novel application of computational ecosystems providing a holistic analysis on the example of kidney-heart crosstalk.
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Affiliation(s)
- Zhuojun Wu
- Institute of Molecular Cardiovascular Research (Z.W., J.J.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
- Department of Radiology (C.K.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
| | - Johannes Lohmöller
- Medical Faculty, and Department of Computer Science, Communication and Distributed Systems (COMSYS) (J.L., K.W.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
| | - Christiane Kuhl
- Department of Radiology (C.K.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
| | - Klaus Wehrle
- Institute of Molecular Cardiovascular Research (Z.W., J.J.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
- Medical Faculty, and Department of Computer Science, Communication and Distributed Systems (COMSYS) (J.L., K.W.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
| | - Joachim Jankowski
- Institute of Molecular Cardiovascular Research (Z.W., J.J.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
- Department of Pathology, Cardiovascular Research Institute Maastricht (CARIM), University of Maastricht, The Netherlands (J.J.)
- Aachen-Maastricht Institute for Cardiorenal Disease (AMICARE), University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Germany (J.J.)
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39
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Degenaar A, Jacobs A, Kruger R, Delles C, Mischak H, Mels C. Cardiovascular risk and kidney function profiling using conventional and novel biomarkers in young adults: the African-PREDICT study. BMC Nephrol 2023; 24:96. [PMID: 37055746 PMCID: PMC10103421 DOI: 10.1186/s12882-023-03100-w] [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: 09/07/2022] [Accepted: 03/02/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Low- and middle-income countries experience an increasing burden of chronic kidney disease. Cardiovascular risk factors, including advancing age, may contribute to this phenomenon. We (i) profiled cardiovascular risk factors and different biomarkers of subclinical kidney function and (ii) investigated the relationship between these variables. METHODS We cross-sectionally analysed 956 apparently healthy adults between 20 and 30 years of age. Cardiovascular risk factors such as high adiposity, blood pressure, glucose levels, adverse lipid profiles and lifestyle factors were measured. Various biomarkers were used to assess subclinical kidney function, including estimated glomerular filtration rate (eGFR), urinary albumin, uromodulin and the CKD273 urinary proteomics classifier. These biomarkers were used to divide the total population into quartiles to compare extremes (25th percentiles) on the normal kidney function continuum. The lower 25th percentiles of eGFR and uromodulin and the upper 25th percentiles of urinary albumin and the CKD273 classifier represented the more unfavourable kidney function groups. RESULTS In the lower 25th percentiles of eGFR and uromodulin and the upper 25th percentile of the CKD273 classifier, more adverse cardiovascular profiles were observed. In multi-variable adjusted regression analyses performed in the total group, eGFR associated negatively with HDL-C (β= -0.44; p < 0.001) and GGT (β= -0.24; p < 0.001), while the CKD273 classifier associated positively with age and these same risk factors (age: β = 0.10; p = 0.021, HDL-C: β = 0.23; p < 0.001, GGT: β = 0.14; p = 0.002). CONCLUSION Age, lifestyle and health measures impact kidney health even in the third decade.
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Affiliation(s)
- A Degenaar
- Hypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa
| | - A Jacobs
- Hypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa
- MRC Research Unit: Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
| | - R Kruger
- Hypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa
- MRC Research Unit: Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
| | - C Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - H Mischak
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
- Mosaiques Diagnostics GmbH, Hannover, Germany
| | - Cmc Mels
- Hypertension in Africa Research Team (HART), North-West University, Potchefstroom, South Africa.
- MRC Research Unit: Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa.
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40
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Li Y, Liu Y, Liu S, Gao M, Wang W, Chen K, Huang L, Liu Y. Diabetic vascular diseases: molecular mechanisms and therapeutic strategies. Signal Transduct Target Ther 2023; 8:152. [PMID: 37037849 PMCID: PMC10086073 DOI: 10.1038/s41392-023-01400-z] [Citation(s) in RCA: 51] [Impact Index Per Article: 51.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 02/19/2023] [Accepted: 02/28/2023] [Indexed: 04/12/2023] Open
Abstract
Vascular complications of diabetes pose a severe threat to human health. Prevention and treatment protocols based on a single vascular complication are no longer suitable for the long-term management of patients with diabetes. Diabetic panvascular disease (DPD) is a clinical syndrome in which vessels of various sizes, including macrovessels and microvessels in the cardiac, cerebral, renal, ophthalmic, and peripheral systems of patients with diabetes, develop atherosclerosis as a common pathology. Pathological manifestations of DPDs usually manifest macrovascular atherosclerosis, as well as microvascular endothelial function impairment, basement membrane thickening, and microthrombosis. Cardiac, cerebral, and peripheral microangiopathy coexist with microangiopathy, while renal and retinal are predominantly microangiopathic. The following associations exist between DPDs: numerous similar molecular mechanisms, and risk-predictive relationships between diseases. Aggressive glycemic control combined with early comprehensive vascular intervention is the key to prevention and treatment. In addition to the widely recommended metformin, glucagon-like peptide-1 agonist, and sodium-glucose cotransporter-2 inhibitors, for the latest molecular mechanisms, aldose reductase inhibitors, peroxisome proliferator-activated receptor-γ agonizts, glucokinases agonizts, mitochondrial energy modulators, etc. are under active development. DPDs are proposed for patients to obtain more systematic clinical care requires a comprehensive diabetes care center focusing on panvascular diseases. This would leverage the advantages of a cross-disciplinary approach to achieve better integration of the pathogenesis and therapeutic evidence. Such a strategy would confer more clinical benefits to patients and promote the comprehensive development of DPD as a discipline.
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Affiliation(s)
- Yiwen Li
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Yanfei Liu
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China
- The Second Department of Gerontology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Shiwei Liu
- Department of Nephrology and Endocrinology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China
| | - Mengqi Gao
- Department of Nephrology and Endocrinology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China
| | - Wenting Wang
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Keji Chen
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China.
| | - Luqi Huang
- China Center for Evidence-based Medicine of TCM, China Academy of Chinese Medical Sciences, Beijing, 100010, China.
| | - Yue Liu
- National Clinical Research Center for Chinese Medicine Cardiology, Xiyuan Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, 100091, China.
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Kononikhin AS, Brzhozovskiy AG, Bugrova AE, Chebotareva NV, Zakharova NV, Semenov S, Vinogradov A, Indeykina MI, Moiseev S, Larina IM, Nikolaev EN. Targeted MRM Quantification of Urinary Proteins in Chronic Kidney Disease Caused by Glomerulopathies. Molecules 2023; 28:molecules28083323. [PMID: 37110557 PMCID: PMC10142111 DOI: 10.3390/molecules28083323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/28/2023] [Accepted: 04/07/2023] [Indexed: 04/29/2023] Open
Abstract
Glomerulopathies with nephrotic syndrome that are resistant to therapy often progress to end-stage chronic kidney disease (CKD) and require timely and accurate diagnosis. Targeted quantitative urine proteome analysis by mass spectrometry (MS) with multiple-reaction monitoring (MRM) is a promising tool for early CKD diagnostics that could replace the invasive biopsy procedure. However, there are few studies regarding the development of highly multiplexed MRM assays for urine proteome analysis, and the two MRM assays for urine proteomics described so far demonstrate very low consistency. Thus, the further development of targeted urine proteome assays for CKD is actual task. Herein, a BAK270 MRM assay previously validated for blood plasma protein analysis was adapted for urine-targeted proteomics. Because proteinuria associated with renal impairment is usually associated with an increased diversity of plasma proteins being present in urine, the use of this panel was appropriate. Another advantage of the BAK270 MRM assay is that it includes 35 potential CKD markers described previously. Targeted LC-MRM MS analysis was performed for 69 urine samples from 46 CKD patients and 23 healthy controls, revealing 138 proteins that were found in ≥2/3 of the samples from at least one of the groups. The results obtained confirm 31 previously proposed CKD markers. Combination of MRM analysis with machine learning for data processing was performed. As a result, a highly accurate classifier was developed (AUC = 0.99) that enables distinguishing between mild and severe glomerulopathies based on the assessment of only three urine proteins (GPX3, PLMN, and A1AT or SHBG).
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Affiliation(s)
- Alexey S Kononikhin
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
| | - Alexander G Brzhozovskiy
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of the Ministry of Health, 117997 Moscow, Russia
| | - Anna E Bugrova
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of the Ministry of Health, 117997 Moscow, Russia
- Emanuel Institute for Biochemical Physics, Russian Academy of Science, Kosygina Str. 4, 119334 Moscow, Russia
| | - Natalia V Chebotareva
- Nephrology Department, Sechenov First Moscow State Medical University, Trubezkaya 8, 119048 Moscow, Russia
- Department of Internal Medicine, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
| | - Natalia V Zakharova
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Emanuel Institute for Biochemical Physics, Russian Academy of Science, Kosygina Str. 4, 119334 Moscow, Russia
| | - Savva Semenov
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia
| | - Anatoliy Vinogradov
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Department of Internal Medicine, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia
| | - Maria I Indeykina
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
- Emanuel Institute for Biochemical Physics, Russian Academy of Science, Kosygina Str. 4, 119334 Moscow, Russia
| | - Sergey Moiseev
- Nephrology Department, Sechenov First Moscow State Medical University, Trubezkaya 8, 119048 Moscow, Russia
| | - Irina M Larina
- Institute of Biomedical Problems, Russian Federation State Scientific Research Center, Russian Academy of Sciences, Khoroshevskoe Shosse 76A, 123007 Moscow, Russia
| | - Evgeny N Nikolaev
- Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia
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Rotbain Curovic V, Tofte N, Lindhardt M, Adamova K, Bakker SJL, Beige J, Beulens JWJ, Birkenfeld AL, Currie G, Delles C, Dimos I, Francová L, Frimodt-Møller M, Girman P, Göke R, Hansen TW, Havrdova T, Kooy A, Laverman GD, Mischak H, Navis G, Nijpels G, Noutsou M, Ortiz A, Parvanova A, Persson F, Petrie JR, Ruggenenti PL, Rutters F, Rychlík I, Siwy J, Spasovski G, Speeckaert M, Trillini M, Zürbig P, von der Leyen H, Rossing P. Presence of retinopathy and incident kidney and cardiovascular events in type 2 diabetes with normoalbuminuria - A post-hoc analysis of the PRIORITY randomized clinical trial. J Diabetes Complications 2023; 37:108433. [PMID: 36841085 DOI: 10.1016/j.jdiacomp.2023.108433] [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: 12/06/2022] [Revised: 02/06/2023] [Accepted: 02/08/2023] [Indexed: 02/19/2023]
Abstract
AIMS Baseline diabetic retinopathy (DR) and risk of development of microalbuminuria, kidney function decline, and cardiovascular events (CVEs) in type 2 diabetes. METHODS Post-hoc analysis of the PRIORITY study including 1758 persons with type 2 diabetes and normoalbuminuria followed for a median of 2.5 (IQR: 2.0-3.0) years. DR diagnosis included non-proliferative and proliferative abnormalities, macular oedema, or prior laser treatment. Cox models were fitted to investigate baseline DR presence with development of persistent microalbuminuria (urinary albumin-creatinine ratio > 30 mg/g); chronic kidney disease (CKD) G3 (eGFR <60 ml/min/1.73m2); and CVE. Models were adjusted for relevant risk factors. RESULTS At baseline, 304 (17.3 %) had DR. Compared to persons without DR, they were older (mean ± SD: 62.7 ± 7.7 vs 61.4 ± 8.3 years, p = 0.019), had longer diabetes duration (17.9 ± 8.4 vs. 10.6 ± 7.0 years, p < 0.001), and higher HbA1c (62 ± 13 vs. 56 ± 12 mmol/mol, p < 0.001). The adjusted hazard ratios of DR at baseline for development of microalbuminuria (n = 197), CKD (n = 166), and CVE (n = 64) were: 1.50 (95%CI: 1.07, 2.11), 0.87 (95%CI: 0.56, 1.34), and 2.61 (95%CI: 1.44, 4.72), compared to without DR. CONCLUSIONS Presence of DR in normoalbuminuric type 2 diabetes was associated with an increased risk of developing microalbuminuria and CVE, but not with kidney function decline.
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Affiliation(s)
| | - Nete Tofte
- Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Morten Lindhardt
- Steno Diabetes Center Copenhagen, Herlev, Denmark; Department of Medicine, Copenhagen University Hospital - Holbæk, Holbæk, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Katarina Adamova
- University Clinic of Endocrinology, Diabetes and Metabolic Disorders, Skopje, Macedonia
| | - Stephan J L Bakker
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Joachim Beige
- Division of Nephrology and KfH Renal Unit, Hospital St Georg, Leipzig, Germany; Martin-Luther University Halle, Wittenberg, Germany
| | - Joline W J Beulens
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands; Amsterdam Public Health, Amsterdam, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Andreas L Birkenfeld
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, and Nephrology, University Hospital Tübingen, Tübingen, Germany
| | - Gemma Currie
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Christian Delles
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | | | - Lidmila Francová
- Department of Internal Medicine, Charles University, Third Faculty of Medicine, Prague, Czech Republic; Faculty Hospital Královské Vinohrady, Prague, Czech Republic
| | | | - Peter Girman
- Diabetes Center, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Rüdiger Göke
- Diabetologische Schwerpunktpraxis, Diabetologen Hessen, Marburg, Germany
| | | | - Tereza Havrdova
- Diabetes Center, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Adriaan Kooy
- Bethesda Diabetes Research Center, Hoogeveen, the Netherlands
| | - Gozewijnw D Laverman
- Department of Internal Medicine/Nephrology, Ziekenhuisgroep Twente Hospital, Almelo, the Netherlands
| | | | - Gerjan Navis
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Giel Nijpels
- Department General Practice and Elderly Care, Amsterdam, the Netherlands
| | - Marina Noutsou
- Diabetes Center, 2nd Department of Internal Medicine, National and Kapodistrian University of Athens, Medical School, Hippokratio General Hospital, Athens, Greece
| | - Alberto Ortiz
- Instituto de Investigacion Sanitaria de la Fundacion Jiménez Díaz UAM, Madrid, Spain
| | - Aneliya Parvanova
- Department of Renal Medicine, Clinical Research Centre for Rare Diseases "Aldo e Cele Daccò": Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Bergamo, Italy
| | | | - John R Petrie
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Piero L Ruggenenti
- Department of Renal Medicine, Clinical Research Centre for Rare Diseases "Aldo e Cele Daccò": Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Bergamo, Italy
| | - Femke Rutters
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam, the Netherlands; Amsterdam Public Health, Amsterdam, the Netherlands
| | - Ivan Rychlík
- Department of Internal Medicine, Charles University, Third Faculty of Medicine, Prague, Czech Republic
| | | | - Goce Spasovski
- Department of Nephrology, Cyril and Methodius University in Skopje, Skopje, Macedonia
| | | | - Matias Trillini
- Department of Renal Medicine, Clinical Research Centre for Rare Diseases "Aldo e Cele Daccò": Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Bergamo, Italy
| | | | | | - Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Hellinger R, Sigurdsson A, Wu W, Romanova EV, Li L, Sweedler JV, Süssmuth RD, Gruber CW. Peptidomics. NATURE REVIEWS. METHODS PRIMERS 2023; 3:25. [PMID: 37250919 PMCID: PMC7614574 DOI: 10.1038/s43586-023-00205-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/09/2023] [Indexed: 05/31/2023]
Abstract
Peptides are biopolymers, typically consisting of 2-50 amino acids. They are biologically produced by the cellular ribosomal machinery or by non-ribosomal enzymes and, sometimes, other dedicated ligases. Peptides are arranged as linear chains or cycles, and include post-translational modifications, unusual amino acids and stabilizing motifs. Their structure and molecular size render them a unique chemical space, between small molecules and larger proteins. Peptides have important physiological functions as intrinsic signalling molecules, such as neuropeptides and peptide hormones, for cellular or interspecies communication, as toxins to catch prey or as defence molecules to fend off enemies and microorganisms. Clinically, they are gaining popularity as biomarkers or innovative therapeutics; to date there are more than 60 peptide drugs approved and more than 150 in clinical development. The emerging field of peptidomics comprises the comprehensive qualitative and quantitative analysis of the suite of peptides in a biological sample (endogenously produced, or exogenously administered as drugs). Peptidomics employs techniques of genomics, modern proteomics, state-of-the-art analytical chemistry and innovative computational biology, with a specialized set of tools. The complex biological matrices and often low abundance of analytes typically examined in peptidomics experiments require optimized sample preparation and isolation, including in silico analysis. This Primer covers the combination of techniques and workflows needed for peptide discovery and characterization and provides an overview of various biological and clinical applications of peptidomics.
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Affiliation(s)
- Roland Hellinger
- Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Arnar Sigurdsson
- Institut für Chemie, Technische Universität Berlin, Berlin, Germany
| | - Wenxin Wu
- School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Elena V Romanova
- Department of Chemistry, University of Illinois, Urbana, IL, USA
| | - Lingjun Li
- School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | - Christian W Gruber
- Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria
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Lohia S, Latosinska A, Zoidakis J, Makridakis M, Mischak H, Glorieux G, Vlahou A, Jankowski V. Glycosylation Analysis of Urinary Peptidome Highlights IGF2 Glycopeptides in Association with CKD. Int J Mol Sci 2023; 24:ijms24065402. [PMID: 36982475 PMCID: PMC10048973 DOI: 10.3390/ijms24065402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/26/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023] Open
Abstract
Chronic kidney disease (CKD) is prevalent in 10% of world’s adult population. The role of protein glycosylation in causal mechanisms of CKD progression is largely unknown. The aim of this study was to identify urinary O-linked glycopeptides in association to CKD for better characterization of CKD molecular manifestations. Urine samples from eight CKD and two healthy subjects were analyzed by CE-MS/MS and glycopeptides were identified by a specific software followed by manual inspection of the spectra. Distribution of the identified glycopeptides and their correlation with Age, eGFR and Albuminuria were evaluated in 3810 existing datasets. In total, 17 O-linked glycopeptides from 7 different proteins were identified, derived primarily from Insulin-like growth factor-II (IGF2). Glycosylation occurred at the surface exposed IGF2 Threonine 96 position. Three glycopeptides (DVStPPTVLPDNFPRYPVGKF, DVStPPTVLPDNFPRYPVG and DVStPPTVLPDNFPRYP) exhibited positive correlation with Age. The IGF2 glycopeptide (tPPTVLPDNFPRYP) showed a strong negative association with eGFR. These results suggest that with aging and deteriorating kidney function, alterations in IGF2 proteoforms take place, which may reflect changes in mature IGF2 protein. Further experiments corroborated this hypothesis as IGF2 increased plasma levels were observed in CKD patients. Protease predictions, considering also available transcriptomics data, suggest activation of cathepsin S with CKD, meriting further investigation.
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Affiliation(s)
- Sonnal Lohia
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
- Institute for Molecular Cardiovascular Research, RWTH Aachen University Hospital, 52074 Aachen, Germany
| | | | - Jerome Zoidakis
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
| | - Manousos Makridakis
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
| | | | - Griet Glorieux
- Department of Internal Medicine and Pediatrics, Nephrology Division, Ghent University Hospital, 9000 Gent, Belgium
| | - Antonia Vlahou
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
| | - Vera Jankowski
- Institute for Molecular Cardiovascular Research, RWTH Aachen University Hospital, 52074 Aachen, Germany
- Correspondence: ; Tel.: +49-(0241)-80-80580
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Massy ZA, Lambert O, Metzger M, Sedki M, Chaubet A, Breuil B, Jaafar A, Tack I, Nguyen-Khoa T, Alves M, Siwy J, Mischak H, Verbeke F, Glorieux G, Herpe YE, Schanstra JP, Stengel B, Klein J. Machine Learning-Based Urine Peptidome Analysis to Predict and Understand Mechanisms of Progression to Kidney Failure. Kidney Int Rep 2023; 8:544-555. [PMID: 36938091 PMCID: PMC10014385 DOI: 10.1016/j.ekir.2022.11.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022] Open
Abstract
Introduction The identification of patients with chronic kidney disease (CKD) at risk of progressing to kidney failure (KF) is important for clinical decision-making. In this study we assesed whether urinary peptidome (UP) analysis may help classify patients with CKD and improve KF risk prediction. Methods The UP was analyzed using capillary electrophoresis coupled to mass spectrometry in a case-cohort sample of 1000 patients with CKD stage G3 to G5 from the French CKD-Renal Epidemiology and Information Network (REIN) cohort. We used unsupervised and supervised machine learning to classify patients into homogenous UP clusters and to predict 3-year KF risk with UP, respectively. The predictive performance of UP was compared with the KF risk equation (KFRE), and evaluated in an external cohort of 326 patients. Results More than 1000 peptides classified patients into 3 clusters with different CKD severities and etiologies at baseline. Peptides with the highest discriminative power for clustering were fragments of proteins involved in inflammation and fibrosis, highlighting those derived from α-1-antitrypsin, a major acute phase protein with anti-inflammatory and antiapoptotic properties, as the most significant. We then identified a set of 90 urinary peptides that predicted KF with a c-index of 0.83 (95% confidence interval [CI]: 0.81-0.85) in the case-cohort and 0.89 (0.83-0.94) in the external cohort, which were close to that estimated with the KFRE (0.85 [0.83-0.87]). Combination of UP with KFRE variables did not further improve prediction. Conclusion This study shows the potential of UP analysis to uncover new pathophysiological CKD progression pathways and to predict KF risk with a performance equal to that of the KFRE.
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Affiliation(s)
- Ziad A. Massy
- Centre for Research in Epidemiology and Population Health, University Paris-Saclay, University Versailles-Saint Quentin, Inserm UMRS 1018, Clinical Epidemiology Team, Villejuif, France
- Department of Nephrology, CHU Ambroise Paré, APHP, Boulogne Billancourt Cedex, France
| | - Oriane Lambert
- Centre for Research in Epidemiology and Population Health, University Paris-Saclay, University Versailles-Saint Quentin, Inserm UMRS 1018, Clinical Epidemiology Team, Villejuif, France
| | - Marie Metzger
- Centre for Research in Epidemiology and Population Health, University Paris-Saclay, University Versailles-Saint Quentin, Inserm UMRS 1018, Clinical Epidemiology Team, Villejuif, France
| | - Mohammed Sedki
- Centre for Research in Epidemiology and Population Health, University Paris-Saclay, University Versailles-Saint Quentin, Inserm UMRS 1018, Methodology Pole, Villejuif, France
| | - Adeline Chaubet
- Institut National de la Santé et de la Recherche Médicale, Institute of Cardiovascular and Metabolic Disease, UMRS 1297, Toulouse, France
- Université Toulouse III Paul-Sabatier, Toulouse, France
| | - Benjamin Breuil
- Institut National de la Santé et de la Recherche Médicale, Institute of Cardiovascular and Metabolic Disease, UMRS 1297, Toulouse, France
- Université Toulouse III Paul-Sabatier, Toulouse, France
| | - Acil Jaafar
- Department of Clinical Physiology, Toulouse-Rangueil University Hospital, Toulouse University School of Medicine, Toulouse, France
| | - Ivan Tack
- Department of Clinical Physiology, Toulouse-Rangueil University Hospital, Toulouse University School of Medicine, Toulouse, France
| | - Thao Nguyen-Khoa
- Laboratory of Biochemistry, HU Necker-Enfants Malades, AP-HP Centre Université de Paris, Paris, France
- INSERM U1151, Institut Necker-Enfants Malades, Université de Paris Cité, Paris, France
| | - Melinda Alves
- Institut National de la Santé et de la Recherche Médicale, Institute of Cardiovascular and Metabolic Disease, UMRS 1297, Toulouse, France
- Université Toulouse III Paul-Sabatier, Toulouse, France
| | - Justyna Siwy
- Mosaiques Diagnostics GmbH, 30659 Hannover, Germany
| | | | - Francis Verbeke
- Department of Internal Medicine and Pediatrics, Nephrology Section, Ghent University Hospital, Ghent, Belgium
| | - Griet Glorieux
- Department of Internal Medicine and Pediatrics, Nephrology Section, Ghent University Hospital, Ghent, Belgium
| | - Yves-Edouard Herpe
- Biobanque de Picardie, Biological Resource Center of the Amiens University Hospital, 1 rondpoint du Pr Christian Cabrol, Amiens Cedex, France
| | - Joost P. Schanstra
- Institut National de la Santé et de la Recherche Médicale, Institute of Cardiovascular and Metabolic Disease, UMRS 1297, Toulouse, France
- Université Toulouse III Paul-Sabatier, Toulouse, France
| | - Bénédicte Stengel
- Centre for Research in Epidemiology and Population Health, University Paris-Saclay, University Versailles-Saint Quentin, Inserm UMRS 1018, Clinical Epidemiology Team, Villejuif, France
- Department of Nephrology, CHU Ambroise Paré, APHP, Boulogne Billancourt Cedex, France
| | - Julie Klein
- Institut National de la Santé et de la Recherche Médicale, Institute of Cardiovascular and Metabolic Disease, UMRS 1297, Toulouse, France
- Université Toulouse III Paul-Sabatier, Toulouse, France
- Correspondence: Julie Klein, Institute of Metabolic and Cardiovascular disease, 1 avenue Jean-Poulhès, 31432 Toulouse Cedex 4, France.
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de Beer D, Mels CMC, Schutte AE, Delles C, Mary S, Mullen W, Mischak H, Kruger R. A urinary peptidomics approach for early stages of cardiovascular disease risk: The African-PREDICT study. Hypertens Res 2023; 46:485-494. [PMID: 36396816 DOI: 10.1038/s41440-022-01097-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 09/15/2022] [Accepted: 09/23/2022] [Indexed: 11/18/2022]
Abstract
Cardiovascular disease (CVD) affects individuals across the lifespan, with multiple cardiovascular (CV) risk factors increasingly present in young populations. The underlying mechanisms in early cardiovascular disease development are complex and still poorly understood. We therefore employed urinary proteomics as a novel approach to gain better insight into early CVD-related molecular pathways based on a CVD risk stratification approach. This study included 964 apparently healthy (no self-reported chronic illnesses, free from clinical symptoms of CVD) black and white men and women (aged 20-30 years old) from the African Prospective study on the Early Detection and Identification of Cardiovascular disease and Hypertension (African-PREDICT) study. Cardiovascular risk factors used for stratification included obesity, physical inactivity, tobacco use, high alcohol intake, hyperglycemia, dyslipidemia and hypertension. Participants were divided into low (0 risk factors), medium (1-2 risk factors) and high (≥3 risk factors) CV risk groups. We analyzed urinary peptidomics by capillary electrophoresis time-of-flight mass spectrometry. After adjusting for ethnicity, sex and age, 65 sequenced urinary peptides were differentially expressed between the CV risk groups (all q-values ≤ 0.01). These peptides included a lower abundance of collagen type I- and III-derived peptides in the high compared to the low CV risk group. With regard to noncollagen peptides, we found a lower abundance of alpha-1-antitrypsin fragments in the high compared to the low CV risk group (all q-values ≤ 0.01). Our findings indicate lower abundances of collagen types I and III in the high compared to the low CV risk group, suggesting potential early alterations in the CV extracellular matrix.
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Affiliation(s)
- Dalene de Beer
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
| | - Catharina M C Mels
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
| | - Aletta E Schutte
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
- School of Population Health, University of New South Wales; The George Institute for Global Health, Sydney, NSW, Australia
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Sheon Mary
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - William Mullen
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | - Ruan Kruger
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa.
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa.
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Zhang D, Li Y, Liang M, Liang Y, Tian J, He Q, Yang B, Jin J, Zhu W. LC-MS/MS based metabolomics and proteomics reveal candidate biomarkers and molecular mechanism of early IgA nephropathy. Clin Proteomics 2022; 19:51. [PMID: 36572849 PMCID: PMC9793667 DOI: 10.1186/s12014-022-09387-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 12/07/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Immunoglobulin A nephropathy (IgAN), a globally common primary chronic glomerulopathy, is one of the leading causes of end-stage renal disease. However, the underlying mechanisms of IgAN have yet to be demonstrated. There were no adequate and reliable plasma biomarkers for clinical diagnosis, especially at the early stage. In the present study, integrative proteomics and metabolomics were aimed at exploring the mechanism of IgAN and identifying potential biomarkers. METHODS Plasma from IgAN and healthy individuals were collected and analyzed in a randomized controlled manner. Data-independent acquisition quantification proteomics and mass spectrometry based untargeted metabolomics techniques were used to profile the differentially expressed proteins (DEPs) and differentially abundant metabolites (DAMs) between two groups and identify potential biomarkers for IgAN from health at the early stage. Disease-related pathways were screened out by clustering and function enrichment analyses of DEPs and DAMs. And the potential biomarkers for IgAN were identified through the machine learning approach. Additionally, an independent cohort was used to validate the priority candidates by enzyme-linked immunosorbent assay (ELISA). RESULTS Proteomic and metabolomic analyses of IgAN plasma showed that the complement and the immune system were activated, while the energy and amino acid metabolism were disordered in the IgAN patients. PRKAR2A, IL6ST, SOS1, and palmitoleic acid have been identified as potential biomarkers. Based on the AUC value for the training and test sets, the classification performance was 0.994 and 0.977, respectively. The AUC of the external validation of the four biomarkers was 0.91. CONCLUSION In this study, we combined proteomics and metabolomics techniques to analyze the plasma of IgAN patients and healthy individuals, constructing a biomarker panel, which could provide new insights and provide potential novel molecular diagnoses for IgAN.
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Affiliation(s)
- Di Zhang
- Nephrology Center, Department of Nephrology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310014 Zhejiang China
| | - Yaohan Li
- grid.13402.340000 0004 1759 700XCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027 Zhejiang China ,grid.410726.60000 0004 1797 8419The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, 310002 Zhejiang China
| | - Mingzhu Liang
- Nephrology Center, Department of Nephrology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310014 Zhejiang China
| | - Yan Liang
- Nephrology Center, Department of Nephrology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310014 Zhejiang China
| | - Jingkui Tian
- grid.410726.60000 0004 1797 8419The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, 310002 Zhejiang China
| | - Qiang He
- grid.417400.60000 0004 1799 0055Department of Nephrology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, 310000 Zhejiang China
| | - Bingxian Yang
- grid.413273.00000 0001 0574 8737College of Life Science and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018 China
| | - Juan Jin
- Nephrology Center, Department of Nephrology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, 310014 Zhejiang China
| | - Wei Zhu
- grid.410726.60000 0004 1797 8419The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, 310002 Zhejiang China
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Curovic VR, Eickhoff MK, Rönkkö T, Frimodt-Møller M, Hansen TW, Mischak H, Rossing P, Ahluwalia TS, Persson F. Dapagliflozin Improves the Urinary Proteomic Kidney-Risk Classifier CKD273 in Type 2 Diabetes with Albuminuria: A Randomized Clinical Trial. Diabetes Care 2022; 45:2662-2668. [PMID: 35998283 DOI: 10.2337/dc22-1157] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 07/19/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To evaluate the effect of the sodium-glucose cotransporter 2 inhibitor dapagliflozin on the kidney-risk urinary proteomic classifier (CKD273) in persons with type 2 diabetes (T2D) and albuminuria. RESEARCH DESIGN AND METHODS In a double-blind, randomized, controlled, crossover trial, we assigned participants with T2D and urinary albumin to creatinine ratio (UACR) ≥30 mg/g to receive dapagliflozin or matching placebo added to guideline-recommended treatment (ClinicalTrial.gov identifier NCT02914691). Treatment periods lasted 12 weeks, when crossover to the opposing treatment occurred. The primary outcome was change in CKD273 score. Secondary outcomes included regression from high-risk to low-risk CKD273 pattern using the prespecified cutoff score of 0.154. The primary outcome was assessed using paired t test between end-to-end CKD273 scores after dapagliflozin and placebo treatment. The McNemar test was used to assess regression in risk category. RESULTS A total of 40 participants were randomized and 32 completed the trial with intact proteomic measurements. Twenty-eight (88%) were men, the baseline mean (SD) age was 63.0 (8.3) years, mean (SD) diabetes duration was 15.4 (4.5) years, mean HbA1c was 73 (14) mmol/mol (8.8% [1.3%]), and median (interquartile range) UACR was 154 (94, 329) mg/g. Dapagliflozin significantly lowered CKD273 score compared with placebo (-0.221; 95% CI -0.356, -0.087; P = 0.002). Fourteen participants exhibited a high-risk pattern after dapagliflozin treatment compared with 24 after participants placebo (P = 0.021). CONCLUSIONS Dapagliflozin added to renin-angiotensin system inhibition reduced the urinary proteomic classifier CKD273 in persons with T2D and albuminuria, paving the way for the further investigation of CKD273 as a modifiable kidney risk factor.
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Affiliation(s)
| | | | - Teemu Rönkkö
- Steno Diabetes Center Copenhagen, Herlev, Denmark
| | | | | | | | - Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev, Denmark.,Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Takizawa K, Ueda K, Sekiguchi M, Nakano E, Nishimura T, Kajiho Y, Kanda S, Miura K, Hattori M, Hashimoto J, Hamasaki Y, Hisano M, Omori T, Okamoto T, Kitayama H, Fujita N, Kuramochi H, Ichiki T, Oka A, Harita Y. Urinary extracellular vesicles signature for diagnosis of kidney disease. iScience 2022; 25:105416. [PMID: 36439984 PMCID: PMC9684058 DOI: 10.1016/j.isci.2022.105416] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 09/07/2022] [Accepted: 10/17/2022] [Indexed: 11/09/2022] Open
Abstract
Congenital disorders characterized by the quantitative and qualitative reduction in the number of functional nephrons are the primary cause of chronic kidney disease (CKD) in children. We aimed to describe the alteration of urinary extracellular vesicles (uEVs) associated with decreased renal function during childhood. By nanoparticle tracking analysis and quantitative proteomics, we identified differentially expressed proteins in uEVs in bilateral renal hypoplasia, which is characterized by a congenitally reduced number of nephrons. This expression signature of uEVs reflected decreased renal function in CKD patients by congenital anomalies of the kidney and urinary tract or ciliopathy. As a proof-of-concept, we constructed a prototype ELISA system that enabled the isolation of uEVs and quantitation of expression of molecules representing the signature. The system identified decreased renal function even in its early stage. The uEVs signature could pave the way for non-invasive methods that can complement existing testing methods for diagnosing kidney diseases. Urinary extracellular vesicles (uEVs) are altered in chronic kidney disease (CKD) Characteristic expression signatures associated with childhood CKD are identified An ELISA utilizing the signature detected decreased renal function uEVs signature has potential in diagnosing kidney diseases
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Affiliation(s)
- Keiichi Takizawa
- Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Koji Ueda
- Project for Personalized Cancer Medicine, Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo 135-8550, Japan
| | - Masahiro Sekiguchi
- Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Eiji Nakano
- Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Tatsuya Nishimura
- Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Yuko Kajiho
- Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Shoichiro Kanda
- Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Kenichiro Miura
- Department of Pediatric Nephrology, Tokyo Women’s Medical University, Tokyo 162-8666, Japan
| | - Motoshi Hattori
- Department of Pediatric Nephrology, Tokyo Women’s Medical University, Tokyo 162-8666, Japan
| | - Junya Hashimoto
- Department of Nephrology, Faculty of Medicine, Toho University, Tokyo 143-8541, Japan
| | - Yuko Hamasaki
- Department of Nephrology, Faculty of Medicine, Toho University, Tokyo 143-8541, Japan
| | - Masataka Hisano
- Department of Nephrology, Chiba Children’s Hospital, Chiba 266-0007, Japan
| | - Tae Omori
- Department of Pediatrics, Tokyo Metropolitan Bokutoh Hospital, Tokyo 130-8575, Japan
| | - Takayuki Okamoto
- Department of Pediatrics, Hokkaido University Graduate School of Medicine, Hokkaido 060-8648, Japan
| | - Hirotsugu Kitayama
- Department of Nephrology, Shizuoka Children’s Hospital, Shizuoka, 420-8660, Japan
| | - Naoya Fujita
- Department of Nephrology, Aichi Children’s Health and Medical Center, Aichi 474-8710, Japan
| | - Hiromi Kuramochi
- Department of Materials Engineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
| | - Takanori Ichiki
- Department of Materials Engineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
| | - Akira Oka
- Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Yutaka Harita
- Department of Pediatrics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
- Corresponding author
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50
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Jung CY, Yoo TH. Novel biomarkers for diabetic kidney disease. Kidney Res Clin Pract 2022; 41:S46-S62. [DOI: 10.23876/j.krcp.22.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/17/2022] [Indexed: 11/04/2022] Open
Abstract
Although diabetic kidney disease (DKD) remains one of the leading causes of reduced lifespan in patients with diabetes mellitus; its prevalence has failed to decline over the past 30 years. To identify those at high risk of developing DKD and disease progression at an early stage, extensive research has been ongoing in the search for prognostic and surrogate endpoint biomarkers for DKD. Although biomarkers are not used routinely in clinical practice or prospective clinical trials, many biomarkers have been developed to improve the early identification and prognostication of patients with DKD. Novel biomarkers that capture one specific mechanism of the DKD disease process have been developed, and studies have evaluated the prognostic value of assay-based biomarkers either in small sets or in combinations involving multiple biomarkers. More recently, several studies have assessed the prognostic value of omics- based biomarkers that include proteomics, metabolomics, and transcriptomics. This review will first describe the biomarkers used in current practice and their limitations, and then summarize the current status of novel biomarkers for DKD with respect to assay- based protein biomarkers, proteomics, metabolomics, and transcriptomics.
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