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Nanamatsu A, de Araújo L, LaFavers KA, El-Achkar TM. Advances in uromodulin biology and potential clinical applications. Nat Rev Nephrol 2024:10.1038/s41581-024-00881-7. [PMID: 39160319 DOI: 10.1038/s41581-024-00881-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2024] [Indexed: 08/21/2024]
Abstract
Uromodulin (also known as Tamm-Horsfall protein) is a kidney-specific glycoprotein secreted bidirectionally into urine and into the circulation, and it is the most abundant protein in normal urine. Although the discovery of uromodulin predates modern medicine, its significance in health and disease has been rather enigmatic. Research studies have gradually revealed that uromodulin exists in multiple forms and has important roles in urinary and systemic homeostasis. Most uromodulin in urine is polymerized into highly organized filaments, whereas non-polymeric uromodulin is detected both in urine and in the circulation, and can have distinct roles. The interactions of uromodulin with the immune system, which were initially reported to be a key role of this protein, are now better understood. Moreover, the discovery that uromodulin is associated with a spectrum of kidney diseases, including acute kidney injury, chronic kidney disease and autosomal-dominant tubulointerstitial kidney disease, has further accelerated investigations into the role of this protein. These discoveries have prompted new questions and ushered in a new era in uromodulin research. Here, we delineate the latest discoveries in uromodulin biology and its emerging roles in modulating kidney and systemic diseases, and consider future directions, including its potential clinical applications.
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Affiliation(s)
- Azuma Nanamatsu
- Department of Medicine, Division of Nephrology and Hypertension, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Larissa de Araújo
- Department of Medicine, Division of Nephrology and Hypertension, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kaice A LaFavers
- Department of Medicine, Division of Nephrology and Hypertension, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Tarek M El-Achkar
- Department of Medicine, Division of Nephrology and Hypertension, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Roudebush VA Medical Center, Indianapolis, IN, USA.
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Muglia L, Di Dio M, Filicetti E, Greco GI, Volpentesta M, Beccacece A, Fabbietti P, Lattanzio F, Corsonello A, Gembillo G, Santoro D, Soraci L. Biomarkers of chronic kidney disease in older individuals: navigating complexity in diagnosis. Front Med (Lausanne) 2024; 11:1397160. [PMID: 39055699 PMCID: PMC11269154 DOI: 10.3389/fmed.2024.1397160] [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: 03/07/2024] [Accepted: 06/27/2024] [Indexed: 07/27/2024] Open
Abstract
Chronic kidney disease (CKD) in older individuals is a matter of growing concern in the field of public health across the globe. Indeed, prevalence of kidney function impairment increases with advancing age and is often exacerbated by age-induced modifications of kidney function, presence of chronic diseases such as diabetes, hypertension, and cardiovascular disorders, and increased burden related to frailty, cognitive impairment and sarcopenia. Accurate assessment of CKD in older individuals is crucial for timely intervention and management and relies heavily on biomarkers for disease diagnosis and monitoring. However, the interpretation of these biomarkers in older patients may be complex due to interplays between CKD, aging, chronic diseases and geriatric syndromes. Biomarkers such as serum creatinine, estimated glomerular filtration rate (eGFR), and albuminuria can be significantly altered by systemic inflammation, metabolic changes, and medication use commonly seen in this population. To overcome the limitations of traditional biomarkers, several innovative proteins have been investigated as potential, in this review we aimed at consolidating the existing data concerning the geriatric aspects of CKD, describing the challenges and considerations in using traditional and innovative biomarkers to assess CKD in older patients, highlighting the need for integration of the clinical context to improve biomarkers' accuracy.
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Affiliation(s)
- Lucia Muglia
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, Italian National Research Center on Aging (IRCCS INRCA), Ancona and Cosenza, Italy
| | - Michele Di Dio
- Unit of Urology, Department of Surgery, Annunziata Hospital, Cosenza, Italy
| | - Elvira Filicetti
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
| | - Giada Ida Greco
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
| | - Mara Volpentesta
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
| | - Alessia Beccacece
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, Italian National Research Center on Aging (IRCCS INRCA), Ancona and Cosenza, Italy
| | - Paolo Fabbietti
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, Italian National Research Center on Aging (IRCCS INRCA), Ancona and Cosenza, Italy
| | - Fabrizia Lattanzio
- Scientific Direction, Italian National Research Center on Aging (IRCCS INRCA), Ancona, Italy
| | - Andrea Corsonello
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, Italian National Research Center on Aging (IRCCS INRCA), Ancona and Cosenza, Italy
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
- Department of Pharmacy, Health and Nutritional Sciences, School of Medicine and Digital Technologies, University of Calabria, Arcavacata di Rende, Italy
| | - Guido Gembillo
- Unit of Nephrology and Dialysis, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Domenico Santoro
- Unit of Nephrology and Dialysis, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Luca Soraci
- Unit of Geriatric Medicine, Italian National Research Center on Aging (IRCCS INRCA), Cosenza, Italy
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Chen C, Zhong W, Zheng H, Dai G, Zhao W, Wang Y, Dong Q, Shen B. The role of uromodulin in cardiovascular disease: a review. Front Cardiovasc Med 2024; 11:1417593. [PMID: 39049957 PMCID: PMC11267628 DOI: 10.3389/fcvm.2024.1417593] [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: 04/15/2024] [Accepted: 06/25/2024] [Indexed: 07/27/2024] Open
Abstract
Uromodulin, also referred to as Tamm Horsfall protein (THP), is a renal protein exclusively synthesized by the kidneys and represents the predominant urinary protein under normal physiological conditions. It assumes a pivotal role within the renal system, contributing not only to ion transport and immune modulation but also serving as a critical factor in the prevention of urinary tract infections and kidney stone formation. Emerging evidence indicates that uromodulin may serve as a potential biomarker extending beyond renal function. Recent clinical investigations and Mendelian randomization studies have unveiled a discernible association between urinary regulatory protein levels and cardiovascular events and mortality. This review primarily delineates the intricate relationship between uromodulin and cardiovascular disease, elucidates its predictive utility as a novel biomarker for cardiovascular events, and delves into its involvement in various physiological and pathophysiological facets of the cardiovascular system, incorporating recent advancements in corresponding genetics.
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Affiliation(s)
- Chengqian Chen
- Department of Cardiology Center, The First Hospital of Jilin University, Changchun, China
| | - Wentao Zhong
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China
| | - Hao Zheng
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China
| | - Gaoying Dai
- Department of Cardiology Center, The First Hospital of Jilin University, Changchun, China
| | - Wei Zhao
- Department of Cardiology Center, The First Hospital of Jilin University, Changchun, China
| | - Yushi Wang
- Department of Cardiology Center, The First Hospital of Jilin University, Changchun, China
| | - Qi Dong
- Department of Cardiology Center, The First Hospital of Jilin University, Changchun, China
| | - Botao Shen
- Department of Cardiology Center, The First Hospital of Jilin University, Changchun, China
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Berezin AE, Berezina TA, Hoppe UC, Lichtenauer M, Berezin AA. An overview of circulating and urinary biomarkers capable of predicting the transition of acute kidney injury to chronic kidney disease. Expert Rev Mol Diagn 2024; 24:627-647. [PMID: 39007888 DOI: 10.1080/14737159.2024.2379355] [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: 04/15/2024] [Accepted: 07/09/2024] [Indexed: 07/16/2024]
Abstract
INTRODUCTION Acute kidney injury (AKI) defined by a substantial decrease in kidney function within hours to days and is often irreversible with higher risk to chronic kidney disease (CKD) transition. AREAS COVERED The authors discuss the diagnostic and predictive utilities of serum and urinary biomarkers on AKI and on the risk of AKI-to-CKD progression. The authors focus on the relevant literature covering evidence of circulating and urinary biomarkers' capability to predict the transition of AKI to CKD. EXPERT OPINION Based on the different modalities of serum and urinary biomarkers, multiple biomarker panel seems to be potentially useful to distinguish between various types of AKI, to detect the severity and the risk of AKI progression, to predict the clinical outcome and evaluate response to the therapy. Serum/urinary neutrophil gelatinase-associated lipocalin (NGAL), serum/urinary uromodulin, serum extracellular high mobility group box-1 (HMGB-1), serum cystatin C and urinary liver-type fatty acid-binding protein (L-FABP) were the most effective in the prediction of AKI-to-CKD transition regardless of etiology and the presence of critical state in patients. The current clinical evidence on the risk assessments of AKI progression is mainly based on the utility of combination of functional, injury and stress biomarkers, mainly NGAL, L-FABP, HMGB-1 and cystatin C.
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Affiliation(s)
- Alexander E Berezin
- Department of Internal Medicine II, Division of Cardiology, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Tetiana A Berezina
- Department of Internal Medicine & Nephrology, VitaCenter, Zaporozhye, Ukraine
| | - Uta C Hoppe
- Department of Internal Medicine II, Division of Cardiology, Paracelsus Medical University, Salzburg, Austria
| | - Michael Lichtenauer
- Department of Internal Medicine II, Division of Cardiology, Paracelsus Medical University, Salzburg, Austria
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Karagiannidis AG, Theodorakopoulou MP, Pella E, Sarafidis PA, Ortiz A. Uromodulin biology. Nephrol Dial Transplant 2024; 39:1073-1087. [PMID: 38211973 PMCID: PMC11210992 DOI: 10.1093/ndt/gfae008] [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: 08/30/2023] [Indexed: 01/13/2024] Open
Abstract
Uromodulin is a kidney-specific glycoprotein which is exclusively produced by the epithelial cells lining the thick ascending limb and early distal convoluted tubule. It is currently recognized as a multifaceted player in kidney physiology and disease, with discrete roles for intracellular, urinary, interstitial and serum uromodulin. Among these, uromodulin modulates renal sodium handling through the regulation of tubular sodium transporters that reabsorb sodium and are targeted by diuretics, such as the loop diuretic-sensitive Na+-K+-2Cl- cotransporter type 2 (NKCC2) and the thiazide-sensitive Na+/Cl- cotransporter (NCC). Given these roles, the contribution of uromodulin to sodium-sensitive hypertension has been proposed. However, recent studies in humans suggest a more complex interaction between dietary sodium intake, uromodulin and blood pressure. This review presents an updated overview of the uromodulin's biology and its various roles, and focuses on the interaction between uromodulin and sodium-sensitive hypertension.
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Affiliation(s)
- Artemios G Karagiannidis
- First Department of Nephrology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Marieta P Theodorakopoulou
- First Department of Nephrology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Eva Pella
- First Department of Nephrology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Pantelis A Sarafidis
- First Department of Nephrology, Hippokration Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Alberto Ortiz
- Department of Nephrology and Hypertension, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain
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Wang M, Tang WW, Li XS, de Oliveira Otto MC, Lee Y, Lemaitre RN, Fretts A, Nemet I, Sotoodehnia N, Sitlani CM, Budoff M, DiDonato JA, Wang Z, Bansal N, Shlipak MG, Psaty BM, Siscovick DS, Sarnak MJ, Mozaffarian D, Hazen SL. The Gut Microbial Metabolite Trimethylamine N -oxide, Incident CKD, and Kidney Function Decline. J Am Soc Nephrol 2024; 35:749-760. [PMID: 38593157 PMCID: PMC11164118 DOI: 10.1681/asn.0000000000000344] [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: 11/26/2023] [Accepted: 04/01/2024] [Indexed: 04/11/2024] Open
Abstract
Key Points In community-based US adults, higher plasma trimethylamine N -oxide levels associated with higher risk of incident CKD and greater rate of kidney function decline. Findings from our study support future clinical trials to examine whether lowering plasma trimethylamine N -oxide levels may prevent CKD development and progression. Background Trimethylamine N -oxide (TMAO) is a gut microbiota–derived metabolite of dietary phosphatidylcholine and carnitine. Experimentally, TMAO causes kidney injury and tubulointerstitial fibrosis. Little is known about prospective associations between TMAO and kidney outcomes, especially incident CKD. We hypothesized that higher plasma TMAO levels would be associated with higher risk of incident CKD and greater rate of kidney function decline. Methods We included 10,564 participants from two community-based, prospective cohorts with eGFR ≥60 ml/min per 1.73 m2 to assess incident CKD. TMAO was measured using targeted mass spectrometry at baseline and one follow-up visit. Creatinine and cystatin C were measured up to four times during follow-up and used to compute eGFR. Incident CKD was defined as an eGFR decline ≥30% from baseline and a resulting eGFR <60 ml/min per 1.73 m2. Time-varying Cox models assessed the association of serial TMAO measures with incident CKD, adjusting for sociodemographic, lifestyle, diet, and cardiovascular disease risk factors. Linear mixed models assessed the association with annualized eGFR change in 10,009 participants with at least one follow-up eGFR measure without exclusions for baseline eGFR levels. Results During a median follow-up of 9.4 years (interquartile range, 9.1–11.6 years), 979 incident CKD events occurred. Higher TMAO levels were associated with higher risk of incident CKD (second to fifth versus first quintile hazard ratio [95% confidence interval]=1.65 [1.22 to 2.23], 1.68 [1.26 to 2.25], 2.28 [1.72 to 3.02], and 2.24 [1.68 to 2.98], respectively) and greater annualized eGFR decline (second to fifth versus first quintile annualized eGFR change=−0.21 [−0.32 to −0.09], −0.17 [−0.29 to −0.05], −0.35 [−0.47 to −0.22], and −0.43 [−0.56 to −0.30] ml/min per 1.73 m2, respectively) with monotonic dose–response relationships. These associations were consistent across different racial/ethnic groups examined. The association with eGFR decline was similar to or larger than that seen for established CKD risk factors, including diabetes, per 10 mm Hg of higher systolic BP, per 10 years of older age, and Black race. Conclusions In community-based US adults, higher serial measures of plasma TMAO were associated with higher risk of incident CKD and greater annualized kidney function decline.
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Affiliation(s)
- Meng Wang
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts
| | - W.H. Wilson Tang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, Ohio
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, Ohio
- Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio
| | - Xinmin S. Li
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, Ohio
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, Ohio
| | - Marcia C. de Oliveira Otto
- Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, Texas
| | - Yujin Lee
- Department of Food and Nutrition, Myongji University, Yongin, South Korea
| | - Rozenn N. Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Amanda Fretts
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Ina Nemet
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, Ohio
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, Ohio
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Colleen M. Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Matthew Budoff
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Joseph A. DiDonato
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, Ohio
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, Ohio
| | - Zeneng Wang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, Ohio
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, Ohio
| | - Nisha Bansal
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
| | - Michael G. Shlipak
- Kidney Health Research Collaborative and Department of Medicine, San Francisco Veterans Administration Medical Center and University of California–San Francisco, San Francisco, California
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
- Department of Epidemiology, University of Washington, Seattle, Washington
- Department of Health Systems and Population Health, University of Washington, Seattle, Washington
| | | | - Mark J. Sarnak
- Department of Medicine (Nephrology), Tufts University School of Medicine, Boston, Massachusetts
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts
| | - Stanley L. Hazen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, Ohio
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, Ohio
- Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio
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Chen TK, Estrella MM, Appel LJ, Surapaneni AL, Köttgen A, Obeid W, Parikh CR, Grams ME. Associations of Baseline and Longitudinal Serum Uromodulin With Kidney Failure and Mortality: Results From the African American Study of Kidney Disease and Hypertension (AASK) Trial. Am J Kidney Dis 2024; 83:71-78. [PMID: 37690632 DOI: 10.1053/j.ajkd.2023.05.017] [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: 01/04/2023] [Revised: 05/07/2023] [Accepted: 05/26/2023] [Indexed: 09/12/2023]
Abstract
RATIONALE & OBJECTIVE Uromodulin (UMOD) is the most abundant protein found in urine and has emerged as a promising biomarker of tubule health. Circulating UMOD is also detectable, but at lower levels. We evaluated whether serum UMOD levels were associated with the risks of incident kidney failure with replacement therapy (KFRT) and mortality. STUDY DESIGN Prospective cohort. SETTING & PARTICIPANTS Participants in AASK (the African American Study of Kidney Disease and Hypertension) with available stored serum samples from the 0-, 12-, and 24-month visits for biomarker measurement. PREDICTORS Baseline log-transformed UMOD and change in UMOD over 2 years. OUTCOMES KFRT and mortality. ANALYTICAL APPROACH Cox proportional hazards and mixed-effects models. RESULTS Among 500 participants with baseline serum UMOD levels (mean age, 54y; 37% female), 161 KFRT events occurred during a median of 8.5 years. After adjusting for baseline demographic factors, clinical factors, glomerular filtration rate, log-transformed urine protein-creatinine ratio, and randomized treatment groups, a 50% lower baseline UMOD level was independently associated with a 35% higher risk of KFRT (adjusted HR, 1.35; 95% CI, 1.07-1.70). For annual UMOD change, each 1-standard deviation lower change was associated with a 67% higher risk of KFRT (adjusted HR, 1.67; 95% CI, 1.41-1.99). Baseline UMOD and UMOD change were not associated with mortality. UMOD levels declined more steeply for metoprolol versus ramipril (P<0.001) as well as for intensive versus standard blood pressure goals (P = 0.002). LIMITATIONS Small sample size and limited generalizability. CONCLUSIONS Lower UMOD levels at baseline and steeper declines in UMOD over time were associated with a higher risk of subsequent KFRT in a cohort of African American adults with chronic kidney disease and hypertension. PLAIN-LANGUAGE SUMMARY Prior studies of uromodulin (UMOD), the most abundant protein in urine, and kidney disease have focused primarily on urinary UMOD levels. The present study evaluated associations of serum UMOD levels with the risks of kidney failure with replacement therapy (KFRT) and mortality in a cohort of African American adults with hypertension and chronic kidney disease. It found that participants with lower levels of UMOD at baseline were more likely to experience KFRT even after accounting for baseline kidney measures. Similarly, participants who experienced steeper annual declines in UMOD also had a heightened risk of kidney failure. Neither baseline nor annual change in UMOD was associated with mortality. Serum UMOD is a promising biomarker of kidney health.
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Affiliation(s)
- Teresa K Chen
- Kidney Health Research Collaborative and Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California; San Francisco VA Health Care System, San Francisco, California; Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Michelle M Estrella
- Kidney Health Research Collaborative and Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California; San Francisco VA Health Care System, San Francisco, California
| | - Lawrence J Appel
- General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Aditya L Surapaneni
- Department of Medicine, New York University Langone School of Medicine, New York, New York
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Wassim Obeid
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Chirag R Parikh
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Morgan E Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Department of Medicine, New York University Langone School of Medicine, New York, New York
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Lanktree MB, Perrot N, Smyth A, Chong M, Narula S, Shanmuganathan M, Kroezen Z, Britz-Mckibbin P, Berger M, Krepinsky JC, Pigeyre M, Yusuf S, Paré G. A novel multi-ancestry proteome-wide Mendelian randomization study implicates extracellular proteins, tubular cells, and fibroblasts in estimated glomerular filtration rate regulation. Kidney Int 2023; 104:1170-1184. [PMID: 37774922 DOI: 10.1016/j.kint.2023.08.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 08/15/2023] [Accepted: 08/25/2023] [Indexed: 10/01/2023]
Abstract
Estimated glomerular filtration rate (eGFR) impacts the concentration of plasma biomarkers confounding biomarker association studies of eGFR with reverse causation. To identify biomarkers causally associated with eGFR, we performed a proteome-wide Mendelian randomization study. Genetic variants nearby biomarker coding genes were tested for association with plasma concentration of 1,161 biomarkers in a multi-ancestry sample of 12,066 participants from the Prospective Urban and Rural Epidemiological (PURE) study. Using two-sample Mendelian randomization, individual variants' effects on biomarker concentration were correlated with their effects on eGFR and kidney traits from published genome-wide association studies (GWAS). Genetically altered concentrations of 22 biomarkers were associated with eGFR above a Bonferroni-corrected significance threshold. Five biomarkers were previously identified by GWAS (UMOD, FGF5, LGALS7, NINJ1, COL18A1). Nine biomarkers were within 1 Mb of the lead GWAS variant but the gene for the biomarker was unidentified as the candidate for the GWAS signal (INHBC, TNFRSF11A, TCN2, PXN1, PRTN3, PSMD9, TFPI, ITGB6, CA3). Single-cell transcriptomic data indicated the 22 biomarkers are expressed in kidney tubules, collecting duct, fibroblasts, and immune cells. Pathway analysis showed significant enrichment of identified biomarkers in the extracellular kidney parenchyma. Thus, using genetic regulators of biomarker concentration via proteome-wide Mendelian randomization, we identified 22 biomarkers that appear to causally impact eGFR in either a beneficial or adverse manner. The current study provides rationale for novel therapeutic targets for eGFR and emphasized a role for extracellular proteins produced by tubular cells and fibroblasts for impacting eGFR.
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Affiliation(s)
- Matthew B Lanktree
- Population Health Research Institute, Hamilton, Ontario, Canada; Division of Nephrology, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, Canada.
| | - Nicolas Perrot
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Andrew Smyth
- Population Health Research Institute, Hamilton, Ontario, Canada; HRB Clinical Research Facility Galway, University of Galway, Galway, Ireland
| | - Michael Chong
- Population Health Research Institute, Hamilton, Ontario, Canada; Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Sukrit Narula
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Meera Shanmuganathan
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada
| | - Zachary Kroezen
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada
| | - Philip Britz-Mckibbin
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada; Department of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada
| | - Mario Berger
- Bayer AG, Pharmaceuticals Research & Development, Pharma Research Center, Wuppertal, Germany
| | - Joan C Krepinsky
- Division of Nephrology, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Marie Pigeyre
- Population Health Research Institute, Hamilton, Ontario, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Salim Yusuf
- Population Health Research Institute, Hamilton, Ontario, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Guillaume Paré
- Population Health Research Institute, Hamilton, Ontario, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, Canada; Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
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9
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Sheshadri A, Lai M, Hsu FC, Bauer SR, Chen SH, Tse W, Jotwani V, Tranah GJ, Lai JC, Hallan S, Fielding RA, Liu C, Ix JH, Coca SG, Shlipak MG. Structured Moderate Exercise and Biomarkers of Kidney Health in Sedentary Older Adults: The Lifestyle Interventions and Independence for Elders Randomized Clinical Trial. Kidney Med 2023; 5:100721. [PMID: 37915963 PMCID: PMC10616412 DOI: 10.1016/j.xkme.2023.100721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023] Open
Abstract
Rationale & Objective In the Lifestyle Interventions and Independence for Elders (LIFE) trial, a structured exercise intervention slowed kidney function decline in sedentary older adults. Biomarkers of kidney health could distinguish potential mechanisms for this beneficial effect. Study Design Randomized controlled trial. Setting & Population A total of 1,381 sedentary adults aged 70-89 years enrolled in the LIFE trial. Intervention Structured, 2-year, moderate-intensity exercise intervention versus health education. Outcomes Physical activity was measured by step count. Primary outcomes were changes in 14 serum and urine biomarkers of kidney health collected at baseline, year 1, and year 2. We determined the effect of randomization on changes in kidney measures and then evaluated observational associations of achieved activity on each measure. Results Participants assigned to exercise walked on average 291 more steps per day than participants assigned to health education. The intervention was not significantly associated with changes in biomarkers of kidney health. In observational analyses, persons in the highest versus lowest quartile of activity (≥3,470 vs <1,568 steps/day) had significant improvement in urine albumin (mean, -0.22 mg albumin/g urine creatinine [interquartile range (IQR), -0.37 to -0.06]), alpha-1-microglobulin (-0.18 mg/L [-0.28 to -0.08]), trefoil factor-3 (-0.24 pg/mL [-0.35 to -0.13]), epidermal growth factor (0.19 pg/mL [0.06-0.32]), uromodulin (0.06 pg/mL [0.00-0.12]), interleukin 18 (-0.09 pg/mL [-0.15 to -0.03]), neutrophil gelatinase-associated lipocalin (-0.16 pg/mL [-0.24 to -0.07]), monocyte chemoattractant protein-1 (-0.25 pg/mL [-0.36 to -0.14]), clusterin (-0.16 pg/mL [-0.30 to -0.02]), serum tumor necrosis factor receptor-1 (-0.25 mg/dL [-0.39 to -0.11]) and tumor necrosis factor receptor-2 (-0.30 mg/dL [-0.44 to -0.16]). In sensitivity analyses, incremental changes in activity were most impactful on urine interleukin 18 and serum tumor necrosis factor-1. Limitations The original study was not designed to assess the impact on kidney health. Non-white individuals and patients with advanced chronic kidney disease are underrepresented. Conclusions Randomization to structured exercise did not improve kidney health at a group level. However, higher exercise was associated with concurrent improvements in biomarkers of glomerular injury, tubular function/repair, tubular injury, generalized inflammation, and tubulointerstitial repair/fibrosis. Plain-Language Summary In the Lifestyle Interventions For Elders (LIFE) study, randomization to an exercise and physical activity intervention improved the slope of estimated glomerular filtration rate over 2 years compared with health education among older adults. In this study, we sought to determine whether there were specific biomarkers of kidney health that were affected by the exercise and physical activity intervention to investigate potential mechanisms for this positive impact on kidney decline. We found that randomization to the intervention did not improve any of the 14 measures of kidney tubule health. However, in observational analyses, higher activity was independently associated with improvements in several domains, especially tubular injury and generalized inflammation. These results help to clarify the impact of physical activity on kidney health.
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Affiliation(s)
- Anoop Sheshadri
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Mason Lai
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Scott R. Bauer
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Shyh-Huei Chen
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Warren Tse
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Vasantha Jotwani
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | | | - Jennifer C. Lai
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Stein Hallan
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Roger A. Fielding
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
| | - Christine Liu
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Geriatric Research Education and Clinical Center, Palo Alto VA Health Care System, Palo Alto, CA
| | - Joachim H. Ix
- Department of Medicine, University of California San Diego, La Jolla, CA
| | - Steven G. Coca
- Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Michael G. Shlipak
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
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10
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Yakupova EI, Abramicheva PA, Bocharnikov AD, Andrianova NV, Plotnikov EY. Biomarkers of the End-Stage Renal Disease Progression: Beyond the GFR. BIOCHEMISTRY. BIOKHIMIIA 2023; 88:1622-1644. [PMID: 38105029 DOI: 10.1134/s0006297923100164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 07/20/2023] [Accepted: 08/20/2023] [Indexed: 12/19/2023]
Abstract
Chronic kidney disease can progress to the end-stage renal disease (ESRD) characterized by a high risk of morbidity and mortality. ESRD requires immediate therapy or even dialysis or kidney transplantation, therefore, its timely diagnostics is critical for many patients. ESRD is associated with pathological changes, such as inflammation, fibrosis, endocrine disorders, and epigenetic changes in various cells, which could serve as ESRD markers. The review summarizes information on conventional and new ESRD biomarkers that can be assessed in kidney tissue, blood, and urine. Some biomarkers are specific to a particular pathology, while others are more universal. Here, we suggest several universal inflammatory, fibrotic, hormonal, and epigenetic markers indicative of severe deterioration of renal function and ESRD progression for improvement of ESRD diagnostics.
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Affiliation(s)
- Elmira I Yakupova
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.
| | - Polina A Abramicheva
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
| | - Alexey D Bocharnikov
- International School of Medicine of the Future, Sechenov First Moscow State Medical University, Moscow, 119992, Russia
| | - Nadezda V Andrianova
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
| | - Egor Y Plotnikov
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.
- Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Moscow, 117997, Russia
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11
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Thielemans R, Speeckaert R, Delrue C, De Bruyne S, Oyaert M, Speeckaert MM. Unveiling the Hidden Power of Uromodulin: A Promising Potential Biomarker for Kidney Diseases. Diagnostics (Basel) 2023; 13:3077. [PMID: 37835820 PMCID: PMC10572911 DOI: 10.3390/diagnostics13193077] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
Uromodulin, also known as Tamm-Horsfall protein, represents the predominant urinary protein in healthy individuals. Over the years, studies have revealed compelling associations between urinary and serum concentrations of uromodulin and various parameters, encompassing kidney function, graft survival, cardiovascular disease, glucose metabolism, and overall mortality. Consequently, there has been a growing interest in uromodulin as a novel and effective biomarker with potential applications in diverse clinical settings. Reduced urinary uromodulin levels have been linked to an elevated risk of acute kidney injury (AKI) following cardiac surgery. In the context of chronic kidney disease (CKD) of different etiologies, urinary uromodulin levels tend to decrease significantly and are strongly correlated with variations in estimated glomerular filtration rate. The presence of uromodulin in the serum, attributable to basolateral epithelial cell leakage in the thick ascending limb, has been observed. This serum uromodulin level is closely associated with kidney function and histological severity, suggesting its potential as a biomarker capable of reflecting disease severity across a spectrum of kidney disorders. The UMOD gene has emerged as a prominent locus linked to kidney function parameters and CKD risk within the general population. Extensive research in multiple disciplines has underscored the biological significance of the top UMOD gene variants, which have also been associated with hypertension and kidney stones, thus highlighting the diverse and significant impact of uromodulin on kidney-related conditions. UMOD gene mutations are implicated in uromodulin-associated kidney disease, while polymorphisms in the UMOD gene show a significant association with CKD. In conclusion, uromodulin holds great promise as an informative biomarker, providing valuable insights into kidney function and disease progression in various clinical scenarios. The identification of UMOD gene variants further strengthens its relevance as a potential target for better understanding kidney-related pathologies and devising novel therapeutic strategies. Future investigations into the roles of uromodulin and regulatory mechanisms are likely to yield even more profound implications for kidney disease diagnosis, risk assessment, and management.
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Affiliation(s)
- Raïsa Thielemans
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (R.T.); (C.D.)
| | | | - Charlotte Delrue
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (R.T.); (C.D.)
| | - Sander De Bruyne
- Department of Laboratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium; (S.D.B.); (M.O.)
| | - Matthijs Oyaert
- Department of Laboratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium; (S.D.B.); (M.O.)
| | - Marijn M. Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (R.T.); (C.D.)
- Research Foundation Flanders, 1000 Brussels, Belgium
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12
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Wang M, Wang Z, Lee Y, Lai HTM, de Oliveira Otto MC, Lemaitre RN, Fretts A, Sotoodehnia N, Budoff M, DiDonato JA, McKnight B, Tang WHW, Psaty BM, Siscovick DS, Hazen SL, Mozaffarian D. Dietary Meat, Trimethylamine N-Oxide-Related Metabolites, and Incident Cardiovascular Disease Among Older Adults: The Cardiovascular Health Study. Arterioscler Thromb Vasc Biol 2022; 42:e273-e288. [PMID: 35912635 PMCID: PMC9420768 DOI: 10.1161/atvbaha.121.316533] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 05/24/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Effects of animal source foods (ASF) on atherosclerotic cardiovascular disease (ASCVD) and underlying mechanisms remain controversial. We investigated prospective associations of different ASF with incident ASCVD and potential mediation by gut microbiota-generated trimethylamine N-oxide, its L-carnitine-derived intermediates γ-butyrobetaine and crotonobetaine, and traditional ASCVD risk pathways. METHODS Among 3931 participants from a community-based US cohort aged 65+ years, ASF intakes and trimethylamine N-oxide-related metabolites were measured serially over time. Incident ASCVD (myocardial infarction, fatal coronary heart disease, stroke, other atherosclerotic death) was adjudicated over 12.5 years median follow-up. Cox proportional hazards models with time-varying exposures and covariates examined ASF-ASCVD associations; and additive hazard models, mediation proportions by different risk pathways. RESULTS After multivariable-adjustment, higher intakes of unprocessed red meat, total meat, and total ASF associated with higher ASCVD risk, with hazard ratios (95% CI) per interquintile range of 1.15 (1.01-1.30), 1.22 (1.07-1.39), and 1.18 (1.03-1.34), respectively. Trimethylamine N-oxide-related metabolites together significantly mediated these associations, with mediation proportions (95% CI) of 10.6% (1.0-114.5), 7.8% (1.0-32.7), and 9.2% (2.2-44.5), respectively. Processed meat intake associated with a nonsignificant trend toward higher ASCVD (1.11 [0.98-1.25]); intakes of fish, poultry, and eggs were not significantly associated. Among other risk pathways, blood glucose, insulin, and C-reactive protein, but not blood pressure or blood cholesterol, each significantly mediated the total meat-ASCVD association. CONCLUSIONS In this large, community-based cohort, higher meat intake associated with incident ASCVD, partly mediated by microbiota-derived metabolites of L-carnitine, abundant in red meat. These novel findings support biochemical links between dietary meat, gut microbiome pathways, and ASCVD.
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Affiliation(s)
- Meng Wang
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Zeneng Wang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Yujin Lee
- Department of Food and Nutrition, Myongji University, Yongin, South Korea 17055
| | - Heidi TM Lai
- Imperial College London, Department of Primary Care and Public Health, London, SW7 2AZ, UK
| | - Marcia C. de Oliveira Otto
- Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX
| | - Rozenn N. Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Amanda Fretts
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Matthew Budoff
- Los Angeles BioMedical Research Institute, Harbor UCLA Medical Center, CA
| | - Joseph A. DiDonato
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Barbara McKnight
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Department of Biostatistics, University of Washington, Seattle, WA
| | - W. H. Wilson Tang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle, WA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA
| | | | - Stanley L. Hazen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
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13
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Li Y, Cheng Y, Consolato F, Schiano G, Chong MR, Pietzner M, Nguyen NQH, Scherer N, Biggs ML, Kleber ME, Haug S, Göçmen B, Pigeyre M, Sekula P, Steinbrenner I, Schlosser P, Joseph CB, Brody JA, Grams ME, Hayward C, Schultheiss UT, Krämer BK, Kronenberg F, Peters A, Seissler J, Steubl D, Then C, Wuttke M, März W, Eckardt KU, Gieger C, Boerwinkle E, Psaty BM, Coresh J, Oefner PJ, Pare G, Langenberg C, Scherberich JE, Yu B, Akilesh S, Devuyst O, Rampoldi L, Köttgen A. Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases. JCI Insight 2022; 7:e157035. [PMID: 35446786 PMCID: PMC9220927 DOI: 10.1172/jci.insight.157035] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/07/2022] [Indexed: 11/28/2022] Open
Abstract
Uromodulin (UMOD) is a major risk gene for monogenic and complex forms of kidney disease. The encoded kidney-specific protein uromodulin is highly abundant in urine and related to chronic kidney disease, hypertension, and pathogen defense. To gain insights into potential systemic roles, we performed genome-wide screens of circulating uromodulin using complementary antibody-based and aptamer-based assays. We detected 3 and 10 distinct significant loci, respectively. Integration of antibody-based results at the UMOD locus with functional genomics data (RNA-Seq, ATAC-Seq, Hi-C) of primary human kidney tissue highlighted an upstream variant with differential accessibility and transcription in uromodulin-synthesizing kidney cells as underlying the observed cis effect. Shared association patterns with complex traits, including chronic kidney disease and blood pressure, placed the PRKAG2 locus in the same pathway as UMOD. Experimental validation of the third antibody-based locus, B4GALNT2, showed that the p.Cys466Arg variant of the encoded N-acetylgalactosaminyltransferase had a loss-of-function effect leading to higher serum uromodulin levels. Aptamer-based results pointed to enzymes writing glycan marks present on uromodulin and to their receptors in the circulation, suggesting that this assay permits investigating uromodulin's complex glycosylation rather than its quantitative levels. Overall, our study provides insights into circulating uromodulin and its emerging functions.
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Affiliation(s)
- Yong Li
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
| | - Yurong Cheng
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
- Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Francesco Consolato
- Molecular Genetics of Renal Disorders group, Division of Genetics and Cell Biology, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | - Michael R. Chong
- Population Health Research Institute and Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada
- Department of Biochemistry and Biomedical Sciences and
- Department of Pathology and Molecular Medicine, Faculty of Health Science, McMaster University, Hamilton, Ontario, Canada
| | - Maik Pietzner
- Medical Research Council (MRC) Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Ngoc Quynh H. Nguyen
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Nora Scherer
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
- Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, Germany
| | - Mary L. Biggs
- Cardiovascular Health Research Unit, Department of Medicine, and
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Marcus E. Kleber
- SYNLAB MVZ Humangenetik Mannheim GmbH, Mannheim, Germany
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan Haug
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
| | - Burulça Göçmen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
| | - Marie Pigeyre
- Population Health Research Institute and Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada
- Department of Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Peggy Sekula
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
| | - Inga Steinbrenner
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
| | - Pascal Schlosser
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Christina B. Joseph
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | | | - Morgan E. Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Division of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Ulla T. Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
- Department of Medicine IV: Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Bernhard K. Krämer
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-Universität (LMU), Munich, Germany
| | - Jochen Seissler
- Medical Clinic and Policlinic IV, Hospital of the University of Munich, LMU Munich, Munich, Germany
| | - Dominik Steubl
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA
- Department of Nephrology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Boehringer Ingelheim International GmbH, Ingelheim, Germany
| | - Cornelia Then
- Medical Clinic and Policlinic IV, Hospital of the University of Munich, LMU Munich, Munich, Germany
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
- Department of Medicine IV: Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
- SYNLAB Academy, SYNLAB Holding Deutschland GmbH, Augsburg and Mannheim, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Christian Gieger
- Institute of Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Partner Munich, Neuherberg, Germany
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, and
- Department of Epidemiology and
- Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Peter J. Oefner
- Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | - Guillaume Pare
- Population Health Research Institute and Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Faculty of Health Science, McMaster University, Hamilton, Ontario, Canada
| | - Claudia Langenberg
- Medical Research Council (MRC) Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Computational Medicine, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | | | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Shreeram Akilesh
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Olivier Devuyst
- Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Luca Rampoldi
- Molecular Genetics of Renal Disorders group, Division of Genetics and Cell Biology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Centre for Integrative Biological Signalling Studies (CIBSS), University of Freiburg, Freiburg, Germany
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14
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Systemic Effects of Tamm-Horsfall Protein in Kidney Disease. Semin Nephrol 2022; 42:151277. [PMID: 36411194 DOI: 10.1016/j.semnephrol.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Tamm-Horsfall protein (THP) is produced exclusively by the kidney, where it is released into both the urine and the circulation. Although the primary form of circulating THP is nonpolymerizing, urinary THP exists as a mix of polymerizing and nonpolymerizing forms. Urinary THP has been shown to play roles in such disparate processes as prevention of urinary tract infections and kidney stone formation, along with the regulation of multiple ion channels within the kidney. The generation of THP knockout mouse models has allowed the investigation of these phenomena and shown a prospective role for circulating THP in ischemia-reperfusion acute kidney injury as well as sepsis. Recent studies have suggested that THP is protective in ischemic injury owing to its inhibition of oxidative stress via the calcium channel transient receptor potential cation channel, subfamily M, member 2 t(TRPM2), and protection in sepsis is at least partially due to THP's promotion of macrophage function.
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15
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Mizdrak M, Kumrić M, Kurir TT, Božić J. Emerging Biomarkers for Early Detection of Chronic Kidney Disease. J Pers Med 2022; 12:jpm12040548. [PMID: 35455664 PMCID: PMC9025702 DOI: 10.3390/jpm12040548] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 03/22/2022] [Accepted: 03/28/2022] [Indexed: 12/14/2022] Open
Abstract
Chronic kidney disease (CKD) is a major and serious global health problem that leads to kidney damage as well as multiple systemic diseases. Early diagnosis and treatment are two major measures to prevent further deterioration of kidney function and to delay adverse outcomes. However, the paucity of early, predictive and noninvasive biomarkers has undermined our ability to promptly detect and treat this common clinical condition which affects more than 10% of the population worldwide. Despite all limitations, kidney function is still measured by serum creatinine, cystatin C, and albuminuria, as well as estimating glomerular filtration rate using different equations. This review aims to provide comprehensive insight into diagnostic methods available for early detection of CKD. In the review, we discuss the following topics: (i) markers of glomerular injury; (ii) markers of tubulointerstitial injury; (iii) the role of omics; (iv) the role of microbiota; (v) and finally, the role of microRNA in the early detection of CKD. Despite all novel findings, none of these biomarkers have met the criteria of an ideal early marker. Since the central role in CKD progression is the proximal tubule (PT), most data from the literature have analyzed biomarkers of PT injury, such as KIM-1 (kidney injury molecule-1), NGAL (neutrophil gelatinase-associated lipocalin), and L-FABP (liver fatty acid-binding protein).
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Affiliation(s)
- Maja Mizdrak
- Department of Nephrology and Hemodialysis, University Hospital of Split, 21000 Split, Croatia;
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia; (M.K.); (T.T.K.)
| | - Marko Kumrić
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia; (M.K.); (T.T.K.)
| | - Tina Tičinović Kurir
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia; (M.K.); (T.T.K.)
- Department of Endocrinology, Diabetes and Metabolic Disorders, University Hospital of Split, 21000 Split, Croatia
| | - Joško Božić
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia; (M.K.); (T.T.K.)
- Correspondence:
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Galassi A, Fasulo EM, Ciceri P, Casazza R, Bonelli F, Zierold C, Calleri M, Blocki FA, Palmieri MA, Mastronardo C, Cozzolino MG. 1,25-dihydroxyvitamin D as Predictor of Renal Worsening Function in Chronic Kidney Disease. Results From the PASCaL-1,25D Study. Front Med (Lausanne) 2022; 9:840801. [PMID: 35308556 PMCID: PMC8924653 DOI: 10.3389/fmed.2022.840801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 02/07/2022] [Indexed: 01/01/2023] Open
Abstract
Background Heterogeneous progression of chronic kidney disease (CKD) toward dialysis advocates improving in renal care management. Diagnosis and staging of CKD relies on estimated glomerular filtration rate (eGFR) and albuminuria. Tubular biomarkers emerged as new predictors of worsening renal function (WRF), due to partial inaccuracy of eGFR and existing WRF in non-proteinuric patients. Active vitamin D is synthesized in renal tubules and participates to mineral adaptation in CKD. Circulating 1,25-dihydroxyvitamin D [1,25(OH)2D] was poorly investigated as a biomarker of endocrine tubular function and predictor of WRF. Objective Investigate capability of 1,25(OH)2D to predict parathormone (PTH) increase and WRF in CKD stage 3-4. Methods PASCaL-1,25D was an observational, prospective, monocentric study. Primary outcomes were absolute and 20% increase in PTH, and WRF defined as 20% reduction in eGFR or dialysis initiation at 6 months. Results Seventy-one patients completed follow up. Absolute increase in PTH (1-84) was independently predicted by lower 1,25(OH)2D levels (p = 0.0134). No association was detected between 1,25(OH)2D and iPTH increase. Higher 1,25(OH)2D was associated with reduced risk of WRF at univariate analysis [OR 0.89 (95% CI 0.86-0.93), p = 0.006]. The 1,25(OH)2D/PTH (1-84) ratio was associated with non-significant 84% risk reduction for WRF [OR 0.16 (95% CI 0.06-0.41), p = 0.05]. Low 1,25(OH)2D reached 100% sensitivity in predicting WRF in CKD stage 3 (AUC 9.909, p < 0.0001) and non-elderly patients (AUC 0.883, p < 0.0001). Machine learning models retained 1,25(OH)2D/PTH (1-84) as relevant predictor of WRF together with eGFR and albuminuria. Age influenced interaction between renal and mineral biomarkers. Conclusion 1,25(OH)2D deserves attention as biomarker of tubular health, and sensible predictor of WRF on the short run among non-elderly patients affected by stage 3 CKD. The 1,25(OH)2D/PTH (1-84) ratio may represent a composite biomarker of tubular reserve/endocrine response to the transition from adaptive to maladaptive equilibrium in CKD-MBD.
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Affiliation(s)
- Andrea Galassi
- Renal Division, Azienda Socio Sanitaria Territoriale (ASST) Santi Paolo e Carlo, Department of Health Science, University of Milan, Milan, Italy
| | - Eliana Maria Fasulo
- Renal Division, Azienda Socio Sanitaria Territoriale (ASST) Santi Paolo e Carlo, Department of Health Science, University of Milan, Milan, Italy
| | - Paola Ciceri
- Renal Division, Azienda Socio Sanitaria Territoriale (ASST) Santi Paolo e Carlo, Department of Health Science, University of Milan, Milan, Italy
| | - Roberta Casazza
- Renal Division, Azienda Socio Sanitaria Territoriale (ASST) Santi Paolo e Carlo, Department of Health Science, University of Milan, Milan, Italy
| | | | | | | | | | | | | | - Mario G Cozzolino
- Renal Division, Azienda Socio Sanitaria Territoriale (ASST) Santi Paolo e Carlo, Department of Health Science, University of Milan, Milan, Italy
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Then C, Herder C, Thorand B, Sujana C, Heier M, Meisinger C, Peters A, Koenig W, Rathmann W, Roden M, Stumvoll M, Maalmi H, Then H, Ferrari U, Scherberich J, Seissler J. Association of serum uromodulin with adipokines in dependence of type 2 diabetes. Cytokine 2021; 150:155786. [PMID: 34920231 DOI: 10.1016/j.cyto.2021.155786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 09/24/2021] [Accepted: 12/06/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND The renal tubular glycoprotein uromodulin is associated with obesity and type 2 diabetes, but the underlying mechanisms are elusive. We investigated the association of serum uromodulin with adipokines and tested the effect modification by diabetes status. METHODS The associations of serum uromodulin with eight adipokines were assessed in 795-1080 participants of the KORA F4 study aged 62-81 years using linear regression models adjusted for sex, age, BMI, estimated glomerular filtration rate and diabetes. Significant associations were assessed for effect modification by diabetes status. We further tested using logistic regression whether adjustment for the significant adipokines affected the association of uromodulin with type 2 diabetes. RESULTS Serum uromodulin was inversely associated with chemerin and retinol-binding protein-4 after multivariable adjustment (p < 0.001) and Bonferroni correction for multiple testing. No significant association was observed between uromodulin and the other adipokines (leptin, adiponectin, secreted frizzled-related protein 5, progranulin, omentin-1 and vaspin) after correcting for multiple testing. The association of uromodulin with chemerin and retinol-binding protein-4 was stronger in participants with type 2 diabetes than in participants without diabetes (p for interaction < 0.05). However, inclusion of chemerin and retinol-binding protein-4 in logistic regression models did not attenuate the association of serum uromodulin with diabetes. CONCLUSIONS Serum uromodulin was inversely associated with the predominantly pro-inflammatory adipokines chemerin and retinol-binding protein-4. The associations were stronger in participants with type 2 diabetes compared to participants without diabetes. However, the association of serum uromodulin with type 2 diabetes was independent of chemerin and retinol-binding protein-4.
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Affiliation(s)
- Cornelia Then
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Germany; Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany.
| | - Christian Herder
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Germany; Institute of Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany; Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Germany
| | - Barbara Thorand
- German Center for Diabetes Research (DZD), Partner München-Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Chaterina Sujana
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; KORA Study Centre, University Hospital Augsburg, Augsburg, Germany
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Augsburg, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD), Partner München-Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Wolfgang Koenig
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany; Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany; Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
| | - Wolfgang Rathmann
- Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Germany; Institute of Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany; Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Germany
| | | | - Haifa Maalmi
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Germany; Institute of Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Germany
| | | | - Uta Ferrari
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Germany
| | - Jürgen Scherberich
- Klinikum München-Harlaching, Teaching Hospital of the Ludwig-Maximilians-Universität, Munich, Germany
| | - Jochen Seissler
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Germany; Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany; German Center for Diabetes Research (DZD), Partner München-Neuherberg, Germany
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18
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Wang Y, Du MF, Yao S, Zou T, Zhang XY, Hu GL, Chu C, Liao YY, Chen C, Wang D, Ma Q, Wang KK, Sun Y, Niu ZJ, Yan RC, Yan Y, Zhou HW, Jia H, Gao WH, Li H, Li CH, Chen FY, Gao K, Zhang J, Safirstein R, Wang F, Yang TL, Mu JJ. Associations of Serum Uromodulin and Its Genetic Variants With Blood Pressure and Hypertension in Chinese Adults. Front Cardiovasc Med 2021; 8:710023. [PMID: 34869624 PMCID: PMC8635522 DOI: 10.3389/fcvm.2021.710023] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 10/26/2021] [Indexed: 01/11/2023] Open
Abstract
Background: Uromodulin, also named Tamm Horsfall protein, has been associated with renal function and regulation of sodium homeostasis. We aimed to examine the associations of serum uromodulin levels and its genetic variants with longitudinal blood pressure (BP) changes and hypertension incidence/risk. Methods: A total of 514 participants from the original Baoji Salt-Sensitive Study cohort were genotyped to examine the associations of genetic variations in uromodulin gene with the longitudinal BP changes and the incidence of hypertension over 8 years of follow-up. In addition, 2,210 subjects from the cohort of Hanzhong Adolescent Hypertension Study were used to investigate the relationships between serum uromodulin levels and the risk of hypertension. Results: SNPs rs12917707 and rs12708631 in the uromodulin gene were significantly associated with the longitudinal BP changes over 8 years of follow-up. SNP rs12708631 was significantly associated with the incidence of hypertension over 8 years. In addition, gene-based analyses supported the associations of uromodulin gene with the longitudinal BP changes and hypertension incidence in Baoji Salt-Sensitive Study cohort. Furthermore, serum uromodulin levels in the hypertensive subjects were lower than in the normotensive subjects (25.5 ± 1.1 vs. 34.7 ± 0.7 ng/mL). Serum uromodulin levels decreased gradually as BP levels increased (34.6, 33.2, 27.8, and 25.0 ng/mL for subjects with normotension, high-normal, grade 1 hypertension, and grade 2 hypertension, respectively). Serum uromodulin was significantly associated with the lower risk of hypertension [0.978 (0.972-0.984)] in Hanzhong Adolescent Hypertension Study cohort. Conclusion: This study shows that uromodulin is associated with blood pressure progression and development of hypertension.
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Affiliation(s)
- Yang Wang
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Ming-Fei Du
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shi Yao
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Ting Zou
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xiao-Yu Zhang
- Department of Cardiology, Northwest Women's and Children's Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Gui-Lin Hu
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Chao Chu
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Yue-Yuan Liao
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Chen Chen
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Dan Wang
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Qiong Ma
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Ke-Ke Wang
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Yue Sun
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Ze-Jiaxin Niu
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Rui-Chen Yan
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Yu Yan
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
| | - Hao-Wei Zhou
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hao Jia
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wei-Hua Gao
- Department of Cardiology, Xi'an No.1 Hospital, Xi'an, China
| | - Hao Li
- Department of Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Chun-Hua Li
- Department of Ophthalmology, Xi'an People's Hospital, Xi'an, China
| | - Fang-Yao Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Ke Gao
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jie Zhang
- Department of Cardiology, Xi'an People's Hospital, Xi'an, China
| | - Robert Safirstein
- Department of Medicine, Yale University School of Medicine, New Haven, CT, United States
| | - Feng Wang
- Department of Nephrology, Jiangsu University Affiliated Shanghai Eighth People's Hospital, Shanghai, China
| | - Tie-Lin Yang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Jian-Jun Mu
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China
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Pretransplant Serum Uromodulin and Its Association with Delayed Graft Function Following Kidney Transplantation-A Prospective Cohort Study. J Clin Med 2021; 10:jcm10122586. [PMID: 34208140 PMCID: PMC8230896 DOI: 10.3390/jcm10122586] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/29/2021] [Accepted: 06/07/2021] [Indexed: 11/18/2022] Open
Abstract
Delayed graft function (DGF) following kidney transplantation is associated with increased risk of graft failure, but biomarkers to predict DGF are scarce. We evaluated serum uromodulin (sUMOD), a potential marker for tubular integrity with immunomodulatory capacities, in kidney transplant recipients and its association with DGF. We included 239 kidney transplant recipients and measured sUMOD pretransplant and on postoperative Day 1 (POD1) as independent variables. The primary outcome was DGF, defined as need for dialysis within one week after transplantation. In total, 64 patients (27%) experienced DGF. In multivariable logistic regression analysis adjusting for recipient, donor and transplant associated risk factors each 10 ng/mL higher pretransplant sUMOD was associated with 47% lower odds for DGF (odds ratio (OR) 0.53, 95% confidence interval (95%-CI) 0.30–0.82). When categorizing pretransplant sUMOD into quartiles, the quartile with the lowest values had 4.4-fold higher odds for DGF compared to the highest quartile (OR 4.41, 95%-CI 1.54–13.93). Adding pretransplant sUMOD to a model containing established risk factors for DGF in multivariable receiver-operating-characteristics (ROC) curve analysis, the area-under-the-curve improved from 0.786 [95%-CI 0.723–0.848] to 0.813 [95%-CI 0.755–0.871, p = 0.05]. SUMOD on POD1 was not associated with DGF. In conclusion, higher pretransplant sUMOD was independently associated with lower odds for DGF, potentially serving as a non-invasive marker to stratify patients according to their risk for developing DGF early in the setting of kidney transplantation.
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20
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Nishimoto M, Murashima M, Yoshida H, Eriguchi M, Tasaki H, Fukata F, Kosugi T, Matsui M, Samejima KI, Iseki K, Asahi K, Yamagata K, Fujimoto S, Konta T, Narita I, Moriyama T, Kasahara M, Shibagaki Y, Kondo M, Watanabe T, Tsuruya K. Impact of self-reported walking habit on slower decline in renal function among the general population in a longitudinal study: the Japan Specific Health Checkups (J-SHC) Study. J Nephrol 2021; 34:1845-1853. [PMID: 33929690 DOI: 10.1007/s40620-021-01041-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 03/23/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Association between physical activity and decline in renal function among the general population is not fully understood. METHODS This is a longitudinal study on subjects who participated in the Japanese nationwide Specific Health Checkup program between 2008 and 2014. The exposure of interest was baseline self-reported walking habit. The outcomes were annual change and incidence of 30% decline in estimated glomerular filtration rate (eGFR). Changes in eGFR were compared using a linear mixed-effects model. Cox proportional hazard models were used to examine the association between self-reported walking habit and 30% decline in eGFR. RESULTS Among 332,166 subjects, 168,574 reported walking habit at baseline. The annual changes in eGFR [95% confidence interval (CI)] among subjects with and without baseline self-reported walking habit were - 0.17 (- 0.19 to - 0.16) and - 0.26 (- 0.27 to - 0.24) mL/min/1.73 m2/year, respectively (P for interaction between time and baseline self-reported walking habit, < 0.001). During a median follow-up of 3.3 years, 9166 of 314,489 subjects exhibited 30% decline in eGFR. The incidence of 30% decline in eGFR was significantly lower among subjects with self-reported walking habit after adjustment for potential confounders including time-varying blood pressure, body mass index, lipid profile, and hemoglobin A1c, with hazard ratio (95% CI) of 0.93 (0.89-0.97). Sensitivity analysis restricted to subjects with unchanged self-reported walking habit from baseline or analysis with time-varying self-reported walking habit yielded similar results. CONCLUSIONS Self-reported walking habit was associated with significantly slower decline in eGFR. This association appeared to be independent of its effects on metabolic improvement.
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Affiliation(s)
- Masatoshi Nishimoto
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Miho Murashima
- Department of Nephrology, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Hisako Yoshida
- Department of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Masahiro Eriguchi
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Hikari Tasaki
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Fumihiro Fukata
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Takaaki Kosugi
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Masaru Matsui
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Ken-Ichi Samejima
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan
| | - Kunitoshi Iseki
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Koichi Asahi
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Kunihiro Yamagata
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Shouichi Fujimoto
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Tsuneo Konta
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Ichiei Narita
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Toshiki Moriyama
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Masato Kasahara
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Yugo Shibagaki
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Masahide Kondo
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Tsuyoshi Watanabe
- Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan
| | - Kazuhiko Tsuruya
- Department of Nephrology, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan. .,Steering Committee of The Japan Specific Health Checkups (J-SHC) Study Group, Fukushima, Japan.
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Abstract
Uromodulin, a protein exclusively produced by the kidney, is the most abundant urinary protein in physiological conditions. Already described several decades ago, uromodulin has gained the spotlight in recent years, since the discovery that mutations in its encoding gene UMOD cause a renal Mendelian disease (autosomal dominant tubulointerstitial kidney disease) and that common polymorphisms are associated with multifactorial disorders, such as chronic kidney disease, hypertension, and cardiovascular diseases. Moreover, variations in uromodulin levels in urine and/or blood reflect kidney functioning mass and are of prognostic value for renal function, cardiovascular events, and overall mortality. The clinical relevance of uromodulin reflects its multifunctional nature, playing a role in renal ion transport and immunomodulation, in protection against urinary tract infections and renal stones, and possibly as a systemic antioxidant. Here, we discuss the multifaceted roles of this protein in kidney physiology and its translational relevance.
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Affiliation(s)
- Céline Schaeffer
- Molecular Genetics of Renal Disorders, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy;
| | - Olivier Devuyst
- Mechanisms of Inherited Kidney Disorders Group, University of Zurich, CH-8057 Zurich, Switzerland
| | - Luca Rampoldi
- Molecular Genetics of Renal Disorders, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan 20132, Italy;
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22
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Yu L, Pei F, Sun Q, Shen F, Yang X, Hu Z, Liu M. Uromodulin aggravates renal tubulointerstitial injury through activation of the complement pathway in rats. J Cell Physiol 2021; 236:5012-5021. [PMID: 33400289 DOI: 10.1002/jcp.30208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 11/24/2020] [Accepted: 11/26/2020] [Indexed: 01/01/2023]
Abstract
Uromodulin (Umod) is the most abundant constituent of urine in humans and exclusively found in the kidney tubular epithelium. However, the specific role of Umod in renal tubulointerstitial injury is yet to be understood. The present study was conducted with aim of investigating the potential therapeutic mechanism of Umod in the regulation of renal tubulointerstitial injury. Protein expression of Umod in renal tubular epithelial cells was measured with the conduction of Western blot analysis. Enzyme-linked immunosorbent assay and immunofluorescence assay were performed to detect the complement activation products and the activation products of surface deposition. The expression of C1q, C2, C4, B factor, C3, C5, H factor, CD46, CD55, C3aR, and C5aR were determined with the use of reverse-transcription quantitative polymerase chain reaction and Western blot analyses. Subsequently, the unilateral ureteral obstruction (UUO) rat model was established. Renal tubulointerstitial injury was assessed with the application of hematoxylin-eosin staining and Masson staining in rats. UUO rats and normal rats were injected with si-NC or si-Umod and complement inhibitor. UUO rats were observed to have serious impairment of kidney tubule, renal tubular dilation, and epithelial atrophy, with downregulated Umod and activated complement pathway. Silencing of Umod resulted in the activation of complement system while promoting interstitial fibrosis in renal tubules. Moreover, addition of complement inhibitor significantly alleviated the renal tubule injury and fibrosis. Collectively, our study suggests that silencing of Umod mediates the complement pathway, exacerbating renal tubulointerstitial injury in rats, which provides insight into the development of novel therapeutic agents for renal tubulointerstitial injury.
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Affiliation(s)
- Li Yu
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Fei Pei
- Department of Nephrology, Qilu Hospital of Shandong University, Jinan, China
| | - Qiaoling Sun
- Department of Nephrology, Qilu Hospital of Shandong University, Jinan, China
| | - Fei Shen
- Department of Nephrology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiangdong Yang
- Department of Nephrology, Qilu Hospital of Shandong University, Jinan, China
| | - Zhao Hu
- Department of Nephrology, Qilu Hospital of Shandong University, Jinan, China
| | - Maojing Liu
- Department of Nephrology, Qilu Hospital of Shandong University, Jinan, China
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Lousa I, Reis F, Beirão I, Alves R, Belo L, Santos-Silva A. New Potential Biomarkers for Chronic Kidney Disease Management-A Review of the Literature. Int J Mol Sci 2020; 22:E43. [PMID: 33375198 PMCID: PMC7793089 DOI: 10.3390/ijms22010043] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 12/14/2020] [Accepted: 12/21/2020] [Indexed: 02/07/2023] Open
Abstract
The prevalence of chronic kidney disease (CKD) is increasing worldwide, and the mortality rate continues to be unacceptably high. The biomarkers currently used in clinical practice are considered relevant when there is already significant renal impairment compromising the early use of potentially successful therapeutic interventions. More sensitive and specific biomarkers to detect CKD earlier on and improve patients' prognoses are an important unmet medical need. The aim of this review is to summarize the recent literature on new promising early CKD biomarkers of renal function, tubular lesions, endothelial dysfunction and inflammation, and on the auspicious findings from metabolomic studies in this field. Most of the studied biomarkers require further validation in large studies and in a broad range of populations in order to be implemented into routine CKD management. A panel of biomarkers, including earlier biomarkers of renal damage, seems to be a reasonable approach to be applied in clinical practice to allow earlier diagnosis and better disease characterization based on the underlying etiologic process.
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Affiliation(s)
- Irina Lousa
- UCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (I.L.); (L.B.)
| | - Flávio Reis
- Institute of Pharmacology & Experimental Therapeutics, & Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal;
- Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, 3004-504 Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), 3000-075 Coimbra, Portugal
| | - Idalina Beirão
- Universitary Hospital Centre of Porto (CHUP), 4099-001 Porto, Portugal;
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
| | - Rui Alves
- Nephrology Department, Coimbra University Hospital Center, 3004-561 Coimbra, Portugal;
- University Clinic of Nephrology, Faculty of Medicine, University of Coimbra, 3000-075 Coimbra, Portugal
| | - Luís Belo
- UCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (I.L.); (L.B.)
| | - Alice Santos-Silva
- UCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (I.L.); (L.B.)
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24
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Enko D, Meinitzer A, Scherberich JE, März W, Herrmann M, Artinger K, Rosenkranz AR, Zitta S. Individual uromodulin serum concentration is independent of glomerular filtration rate in healthy kidney donors. Clin Chem Lab Med 2020; 59:563-570. [PMID: 33048833 DOI: 10.1515/cclm-2020-0894] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 09/19/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVES The mucoprotein uromodulin is considered to correlate with glomerular filtration rates (GFR) in patients with chronic kidney disease (CKD). Here we investigated how serum uromodulin is associated with measured GFR using inulin-clearance and GFR estimated by CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equation in healthy subjects. METHODS We assessed possible correlations between uromodulin serum concentrations, inulin-GFR and CKD-EPI-GFR in a well characterized study cohort of 112 healthy living kidney donors with two kidneys before and 64 with one kidney after kidney donation. A subgroup of 32 individuals, which presented data before and after nephrectomy, was assessed separately. RESULTS All 112 healthy living kidney donors with two kidneys revealed individual serum uromodulin concentrations between 60.1 and 450.5 µg/L. Sixty-four healthy kidney donors after nephrectomy had significantly lower median (interquartile range) serum uromodulin concentrations (124 [101-166] vs. 185 [152-238] µg/L), inulin-GFR (67.3 [60.6-74.6] vs. 93.5 [82.1-104.4] mL/min/1.73 m2), and CKD-EPI-GFR (61.2 [53.1-69.7] vs. 88.6 [80.0-97.1] mL/min/1.73 m2) as compared to the 112 donors before donation (p<0.001). The subgroup of 32 subjects, which presented data before and after nephrectomy, showed almost the same pattern of kidney function. No statistically relevant associations were found between serum uromodulin and inulin-GFR or CKD-EPI-GFR regarding this healthy population. CONCLUSIONS These novel findings indicate that - in contrast to patients with CKD - serum uromodulin concentrations are not correlated with measured and estimated GFR in healthy individuals.
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Affiliation(s)
- Dietmar Enko
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.,and Institute of Clinical Chemistry and Laboratory Medicine, General Hospital Hochsteiermark, Leoben, Austria
| | - Andreas Meinitzer
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Jürgen E Scherberich
- Department of Nephrology and Clinical Immunology, Klinikum München-Harlaching, Munich, Germany
| | - Winfried März
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.,Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, Germany.,Medical Clinic V (Nephrology, Rheumatology, Endocrinology, Hypertensiology, Diabetology, Lipidology), Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Markus Herrmann
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Katharina Artinger
- Department of Internal Medicine, Division of Nephrology, Medical University of Graz, Graz, Austria
| | - Alexander R Rosenkranz
- Department of Internal Medicine, Division of Nephrology, Medical University of Graz, Graz, Austria
| | - Sabine Zitta
- Department of Internal Medicine, Division of Nephrology, Medical University of Graz, Graz, Austria
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25
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Anemia and Kidney Function Decline among the Middle-Aged and Elderly in China: A Population-Based National Longitudinal Study. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2303541. [PMID: 33083456 PMCID: PMC7556055 DOI: 10.1155/2020/2303541] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/16/2020] [Accepted: 09/17/2020] [Indexed: 11/28/2022]
Abstract
Chronic kidney disease (CKD) is a public health burden, and anemia is common among patients with CKD. However, less is known regarding the longitudinal association between anemia and deterioration of kidney function among the general population. The China Health and Retirement Longitudinal Study is a nationally representative survey for households with members aged ≥ 45 years. Participants without creatinine and demographic data in 2011 and 2015 were excluded. Anemia was defined according to definitions of the World Health Organization. Rapid decline in kidney function was defined as a ≥16.9% (quartile 3) decline in estimated glomerular filtration rate (eGFR), calculated using the CKD-EPI equation during 2011-2015. Multivariate logistic regression and restricted cubic splines were used to explore their relationship. Altogether, 7210 eligible participants were included in the analysis, with a mean age of 58.6 ± 8.8 years. Rapid decline in kidney function occurred among 1802 (25.0%) participants. Those with kidney function decline were more likely to be older, male, and have anemia, lower eGFRs, hypertension, and cardiovascular disease (P < 0.05). Anemia, or hemoglobin, was independently associated with rapid decline in kidney function after adjusting for potential confounding factors (OR = 1.64, 95% CI, 1.32-2.04; OR = 0.90, 95% CI, 0.87-0.94, respectively). Restricted cubic splines showed a nonlinear relationship between hemoglobin and rapid decline in kidney function, especially for men with anemia (P < 0.05). In conclusion, anemia is an independent risk factor for progression of kidney function among the middle-aged and elderly population. Attentive management and intervention strategies targeting anemia could be effective to reduce the risk of kidney failure and improve the prognosis of the general population.
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26
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Steubl D, Buzkova P, Ix JH, Devarajan P, Bennett MR, Chaves PHM, Shlipak MG, Bansal N, Sarnak MJ, Garimella PS. Association of serum and urinary uromodulin and their correlates in older adults-The Cardiovascular Health Study. Nephrology (Carlton) 2020; 25:522-526. [PMID: 31846120 PMCID: PMC7278530 DOI: 10.1111/nep.13688] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 11/21/2019] [Accepted: 12/08/2019] [Indexed: 12/20/2022]
Abstract
Uromodulin is released into serum (sUMOD) and urine (uUMOD) exclusively by renal tubular cells. Both sUMOD and uUMOD are correlated with estimated glomerular filtration rate (eGFR), and associated with mortality and cardiovascular disease (CVD). However, no study to our knowledge has measured both sUMOD and uUMOD in the same population, thus the relationship of sUMOD with uUMOD with one another, and their respective correlates have not been evaluated simultaneously. We evaluated the correlations of sUMOD, uUMOD with eGFR in a random sub-cohort (n = 933) of the Cardiovascular Health Study and their associations with demographic and laboratory parameters and CVD risk factors using multi-variable linear regression analysis. The mean age of the cohort was 78 years, 40% were male and 15% were Black. The mean sUMOD level was 127 ng/mL, uUMOD was 30 500 ng/mL and eGFR was 63 mL/min/1.73 m2 . Correlation between sUMOD and uUMOD, adjusted for eGFR was moderate (r = 0.27 [95% confidence interval = 0.21-0.33]). The correlation of eGFR with sUMOD (r = 0.44 [0.39-0.49]) was stronger than with uUMOD (r = 0.21 [0.15-0.27]). In multi-variable analysis adjusting sUMOD for uUMOD and vice versa, sUMOD was independently associated with eGFR (β = 1.3 [1.1-1.6]), log2 C-reactive protein (β = -4.2 [-6.8 to -1.6]) and male sex (β = -13.6 [-22.7 to -4.5]). In contrast, male sex was associated with higher uUMOD (β = 3700 [400-7000]), while diabetes (β = -6400 [-10 600 to -2100]) and hypertension (-4300 [-7500 to -1100]) were associated with lower uUMOD levels. We conclude that sUMOD is more strongly associated with eGFR compared with uUMOD. Correlates of sUMOD and uUMOD differ substantially, suggesting that apical and basolateral secretion may be differentially regulated.
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Grants
- U01 HL080295 NHLBI NIH HHS
- N01HC-15103 National Heart, Lung, and Blood Institute (NHLBI)
- U01 HL130114 NHLBI NIH HHS
- HHSN268200800007C NHLBI NIH HHS
- P50 DK096418 NIH HHS
- K23 DK114556 NIDDK NIH HHS
- N01HC55222 NHLBI NIH HHS
- N01HC85086 NHLBI NIH HHS
- HHSN268201200036C NHLBI NIH HHS
- R01 AG027002 NIA NIH HHS
- N01HC-54133 National Heart, Lung, and Blood Institute (NHLBI)
- N01-HC85239 National Heart, Lung, and Blood Institute (NHLBI)
- R01 DK098234 NIDDK NIH HHS
- N01HC-55222 National Heart, Lung, and Blood Institute (NHLBI)
- R01AG 027002 National Institutes of Aging (NIA)
- NINDS NIH HHS
- P50 DK096418 NIDDK NIH HHS
- N01HC-35129 National Heart, Lung, and Blood Institute (NHLBI)
- R01AG023629 NIA NIH HHS
- N01HC-85079 National Heart, Lung, and Blood Institute (NHLBI)
- N01HC-75150 National Heart, Lung, and Blood Institute (NHLBI)
- N01HC75150 NHLBI NIH HHS
- N01HC85079 NHLBI NIH HHS
- R01 AG023629 NIA NIH HHS
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Affiliation(s)
- Dominik Steubl
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts
- Division of Nephrology, Klinikum rechts der Isar, Technical University, Munich, Germany
| | - Petra Buzkova
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Joachim H. Ix
- Division of Nephrology-Hypertension, University of California San Diego, San Diego, California
| | - Prasad Devarajan
- Department of Nephrology and Hypertension, Cincinnati Children’s Hospital, University of Cincinnati, Cincinnati, Ohio
| | - Michael R. Bennett
- Department of Nephrology and Hypertension, Cincinnati Children’s Hospital, University of Cincinnati, Cincinnati, Ohio
| | - Paolo H. M. Chaves
- Benjamin Leon Center for Geriatric Research and Education, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - Michael G. Shlipak
- Division of General Internal Medicine, University of California San Francisco, San Francisco, California
| | - Nisha Bansal
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, Washington
| | - Mark J. Sarnak
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts
| | - Pranav S. Garimella
- Division of Nephrology-Hypertension, University of California San Diego, San Diego, California
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27
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Then C, Then HL, Lechner A, Thorand B, Meisinger C, Heier M, Peters A, Koenig W, Rathmann W, Scherberich J, Seissler J. Serum uromodulin and decline of kidney function in older participants of the population-based KORA F4/FF4 study. Clin Kidney J 2020; 14:205-211. [PMID: 33564420 PMCID: PMC7857794 DOI: 10.1093/ckj/sfaa032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 02/14/2020] [Indexed: 12/20/2022] Open
Abstract
Background Uromodulin, a tissue-specific tubular glycoprotein, has recently emerged as a promising biomarker for kidney function and tubular integrity. However, the association of serum uromodulin (sUmod) with renal function decline is still unknown in an older general population. Methods We analysed the association of sUmod with the estimated glomerular filtration rate (eGFR) and albuminuria in 1075 participants of the population-based Cooperative Health Research in the Region of Augsburg (KORA) F4 study, ages 62-81 years, at baseline and prospectively after a mean follow-up time of 6.5 years (n = 605) using logistic and linear regression models as well as receiver operating characteristics (ROC) analyses. Results Cross-sectionally, sUmod was positively associated with eGFR (β = 0.31 ± 0.02 per higher standard deviation sUmod; P < 0.001) and inversely associated with the urinary albumin:creatinine ratio (β = -0.19 ± 0.04; P < 0.001) after adjustment for sex, age, body mass index, arterial hypertension, prediabetes and diabetes. After multivariable adjustment including baseline eGFR, sUmod was not associated with incident chronic kidney disease (CKD), defined as a decrease in eGFR <60 mL/min/1.73 m2 after 6.5 years of follow-up {odds ratio [OR] 1.02 [95% confidence interval (CI) 0.77-1.36] per higher SD sUmod} but was inversely associated with advanced CKD, defined as incident eGFR <45 mL/min/1.73 m2 [OR 0.64 (95% CI 0.42-0.98)]. The ROC showed no added predictive value of sUmod for kidney function decline in the fully adjusted model. Conclusions Higher sUmod was inversely associated with progression to advanced kidney disease but does not provide additional predictive value for the development of CKD in elderly participants of the population-based KORA study.
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Affiliation(s)
- Cornelia Then
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany.,Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany
| | | | - Andreas Lechner
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany.,Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Barbara Thorand
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Department of Epidemiology, Ludwig-Maximilians-Universität München, UNIKAT Augsburg, Munich, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,KORA Study Center, University Hospital Augsburg, Augsburg, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Wolfgang Koenig
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.,Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.,Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
| | - Wolfgang Rathmann
- German Diabetes Center, Leibniz Institute at Heinrich Heine University Düsseldorf, Institute of Biometrics and Epidemiology, Düsseldorf, Germany
| | - Jürgen Scherberich
- Klinikum München-Harlaching, Teaching Hospital of the Ludwig-Maximilians-Universität, Munich, Germany
| | - Jochen Seissler
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany.,Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany.,Freie Waldorfschule Augsburg, Augsburg, Germany
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