1
|
Zhang R, Li Y, Nie Z. A bibliometric analysis from 2014 to 2024 reveals research hotspots and trends in the immunotherapy for glomerulonephritis. Hum Vaccin Immunother 2024; 20:2420446. [PMID: 39494494 PMCID: PMC11540077 DOI: 10.1080/21645515.2024.2420446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 10/10/2024] [Accepted: 10/20/2024] [Indexed: 11/05/2024] Open
Abstract
This study aimed to present an overview of the current status of research and important discoveries about immunotherapy for glomerulonephritis in general using bibliometric analysis. We collected the literature on immunotherapy for glomerulonephritis from the Web of Science (WOS) database for the last 10 years (2014-2024), and we assessed the mapping of knowledge using Citespace. The findings demonstrated that there were 258 articles concerning the immunotherapy for glomerulonephritis, with a faster growth after 2018. The USA, Charite Universitatsmedizin Berlin, and Anders, Hans-Joachim are the nation, organization, and writer with the highest number of publications. The most often cited reference is Rovin BH (2021) as well (5). The best partnerships are formed by prestigious universities and developed countries for glomerulonephritis research on immunotherapy. Three research hotspots in this area are rituximab, adjuvant, and antibody production erythematosus, respectively.
Collapse
Affiliation(s)
- Ran Zhang
- Nephrology Department, Affiliated Hospital of Shanxi University of Traditional Chinese Medicine, Taiyuan, China
| | - Yanyan Li
- Nephrology Department, Affiliated Hospital of Shanxi University of Traditional Chinese Medicine, Taiyuan, China
| | - Zhongbiao Nie
- Department of Pharmaceutical, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China
| |
Collapse
|
2
|
Zeleke TK, Abebe RB, Wondm SA, Tegegne BA. Magnitude of multiple drug use and determinants of vulnerability among chronic kidney disease inpatients in Ethiopia: a multi-center study. BMC Nephrol 2024; 25:332. [PMID: 39375593 PMCID: PMC11460044 DOI: 10.1186/s12882-024-03773-x] [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: 04/09/2024] [Accepted: 09/23/2024] [Indexed: 10/09/2024] Open
Abstract
BACKGROUND Patients with chronic kidney disease frequently face various nutritional and metabolic problems that necessitate the use of multiple medications. This multiple drug use can lead to several drug-related problems including adverse drug events, hospital admissions, poor medication adherence, harmful drug interactions, inadequate therapeutic outcomes, and death. Despite these challenges, there is a notable lack of studies on the extent of multiple drug use and its determinants among patients with chronic kidney disease in Ethiopia. This study aims to assess the magnitude of multiple drug use and identify the determinants of vulnerability among patients with chronic kidney disease in Ethiopia. METHOD A hospital-based cross-sectional study was conducted among patients with chronic kidney disease. Eligible participants were selected using a simple random sampling technique. Frequency and percentage calculations were performed for categorical variables, while means and standard deviations were used for continuous variables. The chi-square test and t-test were used to compare the proportions and means, respectively. Binary logistic regression was used to identify the determinants of multiple drug use, with statistical significance determined by a p-value of less than 0.05 and a 95% confidence interval. Guidelines and previous literature were utilized to assess the magnitude of multiple drug use. RESULTS A total of 230 patients were enrolled, with more than half being male. The overall magnitude of multiple drug use was 83.0%. Diuretics being the most frequently prescribed medication class followed by angiotensin converting enzyme inhibitors. Patients aged 65 years and above (AOR = 4.91 (95% CI 1.60-15.03)), CKD stage five (AOR) = 5.48 (95% CI 1.99-15.09)), and the presence of comorbid conditions (AOR) = 3.53 (95% CI 1.55-8.06)) were significantly associated with multiple drug use. CONCLUSION Chronic kidney disease patients exhibited a high rate of multiple drug use. The presence of comorbid conditions, disease progression and older age are significant determinates of this vulnerability. Health care providers should pay particular attention to these factors to manage and mitigate the risks associated with multiple drug use.
Collapse
Affiliation(s)
- Tirsit Ketsela Zeleke
- Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
| | - Rahel Belete Abebe
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Samuel Agegnew Wondm
- Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
| | - Bantayehu Addis Tegegne
- Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
| |
Collapse
|
3
|
Leiner J, Pellissier V, König S, Stellmacher L, Hohenstein S, Schanner C, Kwast S, Kuhlen R, Bollmann A. Patient Characteristics and Outcomes of Hospitalized Chronic Kidney Disease Patients with and without Type 2 Diabetes Mellitus: Observations from the German Claims Data-Based Cohort of the CaReMe-CKD Multinational Study. Clin Epidemiol 2024; 16:487-500. [PMID: 39070102 PMCID: PMC11276866 DOI: 10.2147/clep.s459767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/12/2024] [Indexed: 07/30/2024] Open
Abstract
Introduction Type 2 diabetes mellitus (T2DM) is a leading cause of chronic kidney disease (CKD) globally. Both conditions substantially worsen patients' prognosis. Current data on German in-hospital CKD cohorts are scarce. The multinational CaReMe study was initiated to evaluate the current epidemiology and healthcare burden of cardiovascular, renal and metabolic diseases. In this substudy, we share real-world data on CKD inpatients stratified for coexisting T2DM derived from a large German hospital network. Methods This study used administrative data of inpatient cases from 89 Helios hospitals from 01/01/2016 to 28/02/2022. Data were extracted from ICD-10-encoded discharge diagnoses and OPS-encoded procedures. The first case meeting a previously developed CKD definition (defined by ICD-10- and OPS-codes) was considered the index case for a particular patient. Subsequent hospitalizations were analysed for readmission statistics. Patient characteristics and pre-defined endpoints were stratified for T2DM at index case. Results In total, 48,011 patients with CKD were included in the present analysis (mean age ± standard deviation, 73.8 ± 13.1 years; female, 44%) of whom 47.9% had co-existing T2DM. Patients with T2DM were older (75 ± 10.6 vs 72.7 ± 14.9 years, p < 0.001), but gender distribution was similar to patients without T2DM. The burden of cardiovascular disease was increased in patients with T2DM, and index and follow-up in-hospital mortality rates were higher. Non-T2DM patients were characterised by more advanced CKD at baseline. Patients with T2DM had consistently higher readmission numbers for all events of interest, except for readmissions due to kidney failure/dialysis, which were more common in non-T2DM patients. Conclusion In this study, we present recent data on hospitalized patients with CKD in Germany. In this CKD cohort, nearly half had T2DM, which substantially affected cardiovascular disease burden, rehospitalization frequency and mortality. Interestingly, non-diabetic patients had more advanced underlying renal disease, which affected renal outcomes.
Collapse
Affiliation(s)
- Johannes Leiner
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Saxony, Germany
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Vincent Pellissier
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Sebastian König
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Saxony, Germany
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Lars Stellmacher
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Sven Hohenstein
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Carolin Schanner
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Stefan Kwast
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Ralf Kuhlen
- Helios Health Institute, Berlin, Germany
- Helios Health, Berlin, Germany
| | - Andreas Bollmann
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Saxony, Germany
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
- Helios Health Institute, Berlin, Germany
| |
Collapse
|
4
|
Singh A, Verma M, Das M, Parija PP, Nayak S, Jha V. Prevalence and associated factors of impaired kidney functions among children and adolescents in India: insights from the Comprehensive National Nutrition Survey (CNNS) 2016-18. BMC Pediatr 2024; 24:429. [PMID: 38965471 PMCID: PMC11223285 DOI: 10.1186/s12887-024-04903-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 06/21/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is a significant public health problem. The burden of CKD in children and adolescents in India is not well described. We used data from the recent Comprehensive National Nutrition Survey (CNNS) to estimate the prevalence of impaired kidney function (IKF) and its determinants in children and adolescents between the ages of 5 and 19. METHODS CNNS 2016-18 adopted a multi-stage sampling design using probability proportional to size sampling procedure after geographical stratification of urban and rural areas. Serum creatinine was tested once in 24,690 children and adolescents aged 5-19 years. The estimated glomerular filtration rate (eGFR) was derived using the revised Schwartz equation. The eGFR value below 60 ml/min/1.73 m2 is defined as IKF. Bivariate analysis was done to depict the weighted prevalence, and multivariable logistic regression examined the predictors of IKF. RESULTS The mean eGFR in the study population was 113.3 + 41.4 mL/min/1.73 m2. The overall prevalence of IKF was 4.9%. The prevalence in the 5-9, 10-14, and 15-19 year age groups was 5.6%, 3.4% and 5.2%, respectively. Regression analysis showed age, rural residence, non-reserved social caste, less educated mothers, Islam religion, children with severe stunting or being overweight/obese, and residence in Southern India to be predictors of IKF. CONCLUSIONS The prevalence of IKF among children and adolescents in India is high compared to available global estimates. In the absence of repeated eGFR-based estimates, these nationally representative estimates are intriguing and call for further assessment of socio-demographic disparities, genetics, and risk behaviours to have better clinical insights and public health preparedness.
Collapse
Affiliation(s)
- Angad Singh
- International Institute for Population Sciences, Mumbai, India
| | - Madhur Verma
- Community and Family Medicine, All India Institute of Medical Sciences Bathinda, Punjab, India.
| | - Milan Das
- International Institute for Population Sciences, Mumbai, India
| | - Pragyan Paramita Parija
- Community and Family Medicine, All India Institute of Medical Sciences Vijaypur, Jammu, India
| | - Saurabh Nayak
- Nephrology, All India Institute of Medical Sciences Bathinda, Punjab, India
| | - Vivekanand Jha
- The George Institute for Global Health India, UNSW, New Delhi, India
- Manipal Academy of Higher Education, Manipal, India
- Faculty of Medicine, Imperial College London, London, UK
- Faculty of Medicine, University of New South Wales, Sydney, Australia
| |
Collapse
|
5
|
Stamellou E, Nadal J, Hendry B, Mercer A, Bechtel-Walz W, Schiffer M, Eckardt KU, Kramann R, Moeller MJ, Floege J. Long-term outcomes of adults with FSGS in the German Chronic Kidney Disease cohort. Clin Kidney J 2024; 17:sfae131. [PMID: 38989280 PMCID: PMC11234294 DOI: 10.1093/ckj/sfae131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Indexed: 07/12/2024] Open
Abstract
Background Focal segmental glomerulosclerosis (FSGS) can lead to kidney failure in adults. This study examines the progression of FSGS in the German Chronic Kidney Disease (GCKD) cohort. Methods The GCKD study (N = 5217), a prospective cohort, included 159 patients with biopsy-confirmed FSGS recruited from 2010 to 2012. Baseline was defined as the first study visit. Adjudicated endpoints included a composite kidney endpoint (CKE), including an estimated glomerular filtration rate (eGFR) decrease >40%, eGFR <15 ml/min/1.73 m2 or initiation of kidney replacement therapy and combined major adverse cardiovascular events (MACE), including non-fatal myocardial infarction or stroke and all-cause mortality. Associations between baseline demographics, laboratory data, comorbidity and CKE and MACE were analysed using the Cox proportional hazards regression model. Results The mean age at baseline was 52.1 ± 13.6 years, with a disease duration of 4.72 years (quartile 1: 1; quartile 3: 6) before joining the study. The median urinary albumin:creatinine ratio (UACR) at baseline was 0.7 g/g (IQR 0.1;1.8), while mean eGFR was 55.8 ± 23 ml/min/1.73 m2. Based on clinical and pathological features, 69 (43.4%) patients were categorized as primary FSGS, 55 (34.6%) as secondary FSGS and 35 (22%) as indeterminate. Over a follow-up of 6.5 years, 44 patients reached the composite kidney endpoint and 16 individuals had at least one MACE. UACR ≥0.7 g/g was strongly associated with both the composite kidney endpoint {hazard ratio [HR] 5.27 [95% confidence interval (CI) 2.4-11.5]} and MACE [HR 3.37 (95% CI 1.05-10.82)] compared with <0.7 g/g, whereas a higher eGFR at baseline (per 10 ml/min) was protective for both endpoints [HR 0.8 (95% CI 0.68-0.95) and HR 0.63 (95% CI 0.46-0.88), respectively]. Patients with secondary FSGS experienced a greater rate of eGFR decline than patients with primary FSGS. Conclusions Lower eGFR and higher albuminuria are key risk factors for kidney disease progression and cardiovascular events in patients with FSGS.
Collapse
Affiliation(s)
- Eleni Stamellou
- Division of Nephrology and Clinical Immunology, RWTH Aachen University Hospital, Aachen, Germany
- Department of Nephrology, School of Medicine, University of Ioannina, Ioannina, Greece
| | - Jennifer Nadal
- Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University Hospital Bonn, Bonn, Germany
| | | | | | - Wibke Bechtel-Walz
- Department of Medicine IV, University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
- Berta‐Ottenstein Program, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Mario Schiffer
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Rafael Kramann
- Division of Nephrology and Clinical Immunology, RWTH Aachen University Hospital, Aachen, Germany
| | - Marcus J Moeller
- Division of Nephrology and Clinical Immunology, RWTH Aachen University Hospital, Aachen, Germany
| | - Jürgen Floege
- Division of Nephrology and Clinical Immunology, RWTH Aachen University Hospital, Aachen, Germany
- Department of Cardiology, RWTH Aachen University Hospital, Aachen, Germany
| |
Collapse
|
6
|
Kurzhagen JT, Titze S, Büschges-Seraphin B, Schiffer M, Schneider MP, Eckardt KU, Hilgers KF. Spot urinary sodium in CKD patients: correlation with 24h-excretion and evaluation of commonly used prediction equations. BMC Nephrol 2024; 25:210. [PMID: 38937680 PMCID: PMC11212440 DOI: 10.1186/s12882-024-03639-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 06/12/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Salt intake in CKD patients can affect cardiovascular risk and kidney disease progression. Twenty-four hour (24h) urine collections are often used to investigate salt metabolism but are cumbersome to perform. We assessed urinary sodium (U-Na) concentration in spot urine samples and investigated the correlation with 24h U-Na excretion and concentration in CKD patients under nephrological care. Further, we studied the role of CKD stage and diuretics and evaluated the performance of commonly used formulas for the prediction of 24h U-Na excretion from spot urine samples. METHODS One hundred eight patients of the German Chronic Kidney Disease (GCKD) study were included. Each participant collected a 24h urine and two spot urine samples within the same period. The first spot urine sample (AM) was part of the second morning urine. The second urine sample was collected before dinner (PM). Patients were advised to take their medication as usual without changing dietary habits. U-Na concentrations in the two spot urine samples and their average ((AM + PM)/2) were correlated with U-Na concentration and total Na excretion in the 24h urine collections. Correlations were subsequently studied after stratification by CKD stage and diuretic intake. The usefulness of three commonly applied equations to estimate 24h U-Na excretion from spot urine samples (Kawasaki, Tanaka and Intersalt) was determined using Bland-Altman plots, analyses of sensitivity, specificity, as well as positive (PPV) and negative predictive values (NPV). RESULTS Participants (42 women, 66 men) were on average (± SD) 62.2 (± 11.9) years old, with a mean serum creatinine of 1.6 (± 0.5) mg/dl. 95% had arterial hypertension, 37% diabetes mellitus and 55% were on diuretics. The best correlation with 24h U-Na total excretion was found for the PM spot U-Na sample. We also found strong correlations when comparing spot and 24h urine U-Na concentration. Correction of spot U-Na for U-creatinine did not improve strength of correlations. Neither CKD stage, nor intake of diuretics had significant impact on these correlations. All examined formulas revealed a significant mean bias. The lowest mean bias and the strongest correlation between estimated and measured U-Na excretion in 24h were obtained using the Tanaka-formula. Also, application of the Tanaka-formula with PM U-Na provided best sensitivity, specificity, PPV and NPV to estimate U-Na excretion > 4g/d corresponding to a salt consumption > 10g/d. CONCLUSION U-Na concentration of spot urine samples correlated with 24h U-Na excretion especially when PM spot U-Na was used. However, correlation coefficients were relatively low. Neither CKD stage nor intake of diuretics appeared to have an influence on these correlations. There was a significant bias for all tested formulas with the Tanaka-formula providing the strongest correlation with measured 24h U-Na excretion. In summary, using spot urine samples together with the Tanaka-formula in epidemiological studies appears feasible to determine associations between approximate salt intake and outcomes in CKD patients. However, the usefulness of spot-urine samples to guide and monitor salt consumption in individual patients remains limited.
Collapse
Affiliation(s)
- Johanna T Kurzhagen
- Department of Nephrology and Hypertension, University of Erlangen-Nuremberg, Medizinische Klinik 4, Universitätsklinikum Erlangen, Erlangen, Germany.
| | - Stephanie Titze
- Department of Nephrology and Hypertension, University of Erlangen-Nuremberg, Medizinische Klinik 4, Universitätsklinikum Erlangen, Erlangen, Germany
- Kassenärztliche Bundesvereinigung, Berlin, Germany
| | | | - Mario Schiffer
- Department of Nephrology and Hypertension, University of Erlangen-Nuremberg, Medizinische Klinik 4, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Markus P Schneider
- Department of Nephrology and Hypertension, University of Erlangen-Nuremberg, Medizinische Klinik 4, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University of Erlangen-Nuremberg, Medizinische Klinik 4, Universitätsklinikum Erlangen, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité - University Medicine Berlin, Berlin, Germany
| | - Karl F Hilgers
- Department of Nephrology and Hypertension, University of Erlangen-Nuremberg, Medizinische Klinik 4, Universitätsklinikum Erlangen, Erlangen, Germany
| |
Collapse
|
7
|
Steinbrenner I, Schultheiss UT, Bächle H, Cheng Y, Behning C, Schmid M, Yeo WJ, Yu B, Grams ME, Schlosser P, Stockmann H, Gronwald W, Oefner PJ, Schaeffner E, Eckardt KU, Köttgen A, Sekula P. Associations of Urine and Plasma Metabolites With Kidney Failure and Death in a Chronic Kidney Disease Cohort. Am J Kidney Dis 2024:S0272-6386(24)00787-X. [PMID: 38815646 DOI: 10.1053/j.ajkd.2024.03.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 02/09/2024] [Accepted: 03/12/2024] [Indexed: 06/01/2024]
Abstract
RATIONALE & OBJECTIVE Biomarkers that enable better identification of persons with chronic kidney disease (CKD) who are at higher risk for disease progression and adverse events are needed. This study sought to identify urine and plasma metabolites associated with progression of kidney disease. STUDY DESIGN Prospective metabolome-wide association study. SETTING & PARTICIPANTS Persons with CKD enrolled in the GCKD (German CKD) study with metabolite measurements, with external validation within the ARIC (Atherosclerosis Risk in Communities) Study. EXPOSURES 1,513 urine and 1,416 plasma metabolites (Metabolon Inc) measured at study entry using untargeted mass spectrometry. OUTCOMES Main end points were kidney failure (KF) and a composite kidney end point (CKE) of KF, estimated glomerular filtration rate<15mL/min/1.73m2, or a 40% decrease in estimated glomerular filtration rate. Death from any cause was a secondary end point. After a median of 6.5 years of follow-up, 500 persons had experienced KF, 1,083 had experienced the CKE, and 680 had died. ANALYTICAL APPROACH Time-to-event analyses using multivariable proportional hazard regression models in a discovery-replication design with external validation. RESULTS 5,088 GCKD study participants were included in analyses of urine metabolites, and 5,144 were included in analyses of plasma metabolites. Among 182 unique metabolites, 30 were significantly associated with KF, 49 with the CKE, and 163 with death. The strongest association with KF was observed for plasma hydroxyasparagine (HR, 1.95; 95% CI, 1.68-2.25). An unnamed metabolite measured in plasma and urine was significantly associated with KF, the CKE, and death. External validation of the identified associations of metabolites with KF or the CKE revealed directional consistency for 88% of observed associations. Selected associations of 18 metabolites with study outcomes have not been previously reported. LIMITATIONS Use of observational data and semiquantitative metabolite measurements at a single time point. CONCLUSIONS The observed associations between metabolites and KF, the CKE, or death in persons with CKD confirmed previously reported findings and also revealed several associations not previously described. These findings warrant confirmatory research in other study cohorts. PLAIN-LANGUAGE SUMMARY Incomplete understanding of the variability of chronic kidney disease (CKD) progression motivated the search for new biomarkers that would help identify people at increased risk. We explored metabolites in plasma and urine for their association with unfavorable kidney outcomes or death in persons with CKD. Metabolomic analyses revealed 182 metabolites significantly associated with CKD progression or death. Many of these associations confirmed previously reported findings or were validated by analysis in an external study population. Our comprehensive screen of the metabolome serves as a valuable foundation for future investigations into biomarkers associated with CKD progression.
Collapse
Affiliation(s)
- Inga Steinbrenner
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Department of Medicine IV-Nephrology and Primary Care, Medical Centre - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Helena Bächle
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Department of Neurology and Neurophysiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Yurong Cheng
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Charlotte Behning
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Matthias Schmid
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Wan-Jin Yeo
- Division of Precision Medicine, Department of Medicine, NYU Langone Health, New York, New York, USA
| | - Bing Yu
- Department of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Morgan E Grams
- Division of Precision Medicine, Department of Medicine, NYU Langone Health, New York, New York, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Pascal Schlosser
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Centre for Integrative Biological Signalling Studies (CIBSS), University of Freiburg, Freiburg, Germany; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Helena Stockmann
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Nephrology, University Medical Center Regensburg, Regensburg, Germany
| | - Wolfram Gronwald
- Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | - Peter J Oefner
- Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | - Elke Schaeffner
- Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Centre for Integrative Biological Signalling Studies (CIBSS), University of Freiburg, Freiburg, Germany; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Peggy Sekula
- Institute of Genetic Epidemiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| |
Collapse
|
8
|
Pilgram L, Meurers T, Malin B, Schaeffner E, Eckardt KU, Prasser F. The Costs of Anonymization: Case Study Using Clinical Data. J Med Internet Res 2024; 26:e49445. [PMID: 38657232 PMCID: PMC11079766 DOI: 10.2196/49445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 01/14/2024] [Accepted: 02/13/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Sharing data from clinical studies can accelerate scientific progress, improve transparency, and increase the potential for innovation and collaboration. However, privacy concerns remain a barrier to data sharing. Certain concerns, such as reidentification risk, can be addressed through the application of anonymization algorithms, whereby data are altered so that it is no longer reasonably related to a person. Yet, such alterations have the potential to influence the data set's statistical properties, such that the privacy-utility trade-off must be considered. This has been studied in theory, but evidence based on real-world individual-level clinical data is rare, and anonymization has not broadly been adopted in clinical practice. OBJECTIVE The goal of this study is to contribute to a better understanding of anonymization in the real world by comprehensively evaluating the privacy-utility trade-off of differently anonymized data using data and scientific results from the German Chronic Kidney Disease (GCKD) study. METHODS The GCKD data set extracted for this study consists of 5217 records and 70 variables. A 2-step procedure was followed to determine which variables constituted reidentification risks. To capture a large portion of the risk-utility space, we decided on risk thresholds ranging from 0.02 to 1. The data were then transformed via generalization and suppression, and the anonymization process was varied using a generic and a use case-specific configuration. To assess the utility of the anonymized GCKD data, general-purpose metrics (ie, data granularity and entropy), as well as use case-specific metrics (ie, reproducibility), were applied. Reproducibility was assessed by measuring the overlap of the 95% CI lengths between anonymized and original results. RESULTS Reproducibility measured by 95% CI overlap was higher than utility obtained from general-purpose metrics. For example, granularity varied between 68.2% and 87.6%, and entropy varied between 25.5% and 46.2%, whereas the average 95% CI overlap was above 90% for all risk thresholds applied. A nonoverlapping 95% CI was detected in 6 estimates across all analyses, but the overwhelming majority of estimates exhibited an overlap over 50%. The use case-specific configuration outperformed the generic one in terms of actual utility (ie, reproducibility) at the same level of privacy. CONCLUSIONS Our results illustrate the challenges that anonymization faces when aiming to support multiple likely and possibly competing uses, while use case-specific anonymization can provide greater utility. This aspect should be taken into account when evaluating the associated costs of anonymized data and attempting to maintain sufficiently high levels of privacy for anonymized data. TRIAL REGISTRATION German Clinical Trials Register DRKS00003971; https://drks.de/search/en/trial/DRKS00003971. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1093/ndt/gfr456.
Collapse
Affiliation(s)
- Lisa Pilgram
- Junior Digital Clinician Scientist Program, Biomedical Innovation Academy, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Thierry Meurers
- Medical Informatics Group, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Bradley Malin
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Elke Schaeffner
- Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Fabian Prasser
- Medical Informatics Group, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| |
Collapse
|
9
|
Kollerits B, Gruber S, Steinbrenner I, Schwaiger JP, Weissensteiner H, Schönherr S, Forer L, Kotsis F, Schultheiss UT, Meiselbach H, Wanner C, Eckardt KU, Kronenberg F. Apolipoprotein A-IV concentrations and cancer in a large cohort of chronic kidney disease patients: results from the GCKD study. BMC Cancer 2024; 24:320. [PMID: 38454416 PMCID: PMC10921727 DOI: 10.1186/s12885-024-12053-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 02/26/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is highly connected to inflammation and oxidative stress. Both favour the development of cancer in CKD patients. Serum apolipoprotein A-IV (apoA-IV) concentrations are influenced by kidney function and are an early marker of kidney impairment. Besides others, it has antioxidant and anti-inflammatory properties. Proteomic studies and small case-control studies identified low apoA-IV as a biomarker for various forms of cancer; however, prospective studies are lacking. We therefore investigated whether serum apoA-IV is associated with cancer in the German Chronic Kidney Disease (GCKD) study. METHODS These analyses include 5039 Caucasian patients from the prospective GCKD cohort study followed for 6.5 years. Main inclusion criteria were an eGFR of 30-60 mL/min/1.73m2 or an eGFR > 60 mL/min/1.73m2 in the presence of overt proteinuria. RESULTS Mean apoA-IV concentrations of the entire cohort were 28.9 ± 9.8 mg/dL (median 27.6 mg/dL). 615 patients had a history of cancer before the enrolment into the study. ApoA-IV concentrations above the median were associated with a lower odds for a history of cancer (OR = 0.79, p = 0.02 when adjusted age, sex, smoking, diabetes, BMI, albuminuria, statin intake, and eGFRcreatinine). During follow-up 368 patients developed an incident cancer event and those with apoA-IV above the median had a lower risk (HR = 0.72, 95%CI 0.57-0.90, P = 0.004). Finally, 62 patients died from such an incident cancer event and each 10 mg/dL higher apoA-IV concentrations were associated with a lower risk for fatal cancer (HR = 0.62, 95%CI 0.44-0.88, P = 0.007). CONCLUSIONS Our data indicate an association of high apoA-IV concentrations with reduced frequencies of a history of cancer as well as incident fatal and non-fatal cancer events in a large cohort of patients with CKD.
Collapse
Affiliation(s)
- Barbara Kollerits
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstraße 41, Innsbruck, 6020, Austria
| | - Simon Gruber
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstraße 41, Innsbruck, 6020, Austria
| | - Inga Steinbrenner
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Johannes P Schwaiger
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstraße 41, Innsbruck, 6020, Austria
| | - Hansi Weissensteiner
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstraße 41, Innsbruck, 6020, Austria
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstraße 41, Innsbruck, 6020, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstraße 41, Innsbruck, 6020, Austria
| | - Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV - Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV - Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- German Chronic Kidney Disease Study, Erlangen, Germany
| | - Christoph Wanner
- Division of Nephrology, Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- German Chronic Kidney Disease Study, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstraße 41, Innsbruck, 6020, Austria.
| |
Collapse
|
10
|
Esson G, Logan I, Wood K, Browning AC, Sayer JA. Diverse retinal-kidney phenotypes associated with NPHP1 homozygous whole-gene deletions in patients with kidney failure. JOURNAL OF RARE DISEASES (BERLIN, GERMANY) 2024; 3:7. [PMID: 38433745 PMCID: PMC10904492 DOI: 10.1007/s44162-024-00031-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 01/19/2024] [Indexed: 03/05/2024]
Abstract
A precise diagnosis in medicine allows appropriate disease-specific management. Kidney failure of unknown aetiology remains a frequent diagnostic label within the haemodialysis unit and kidney transplant clinic, accounting for 15-20% of these patients. Approximately 10% of such cases may have an underlying monogenic cause of kidney failure. Modern genetic approaches can provide a precise diagnosis for patients and their families. A search for extra-renal disease manifestations is also important as this may point to a specific genetic diagnosis. Here, we present two patients where molecular genetic testing was performed because of kidney failure of unknown aetiology and associated retinal phenotypes. The first patient reached kidney failure at 16 years of age but only presented with a retinal phenotype at 59 years of age and was found to have evidence of rod-cone dystrophy. The second patient presented with childhood kidney failure at the age of 15 years and developed visual difficulties and photophobia at the age of 32 years and was diagnosed with cone dystrophy. In both cases, genetic tests were performed which revealed a homozygous whole-gene deletion of NPHP1-encoding nephrocystin-1, providing the unifying diagnosis of Senior-Løken syndrome type 1. We conclude that reviewing kidney and extra-renal phenotypes together with targeted genetic testing was informative in these cases of kidney failure of unknown aetiology and associated retinal phenotypes. The involvement of an interdisciplinary team is advisable when managing such patients and allows referral to other relevant specialities. The long time lag and lack of diagnostic clarity and clinical evaluation in our cases should encourage genetic investigations for every young patient with unexplained kidney failure. For these and similar patients, a more timely genetic diagnosis would allow for improved management, a risk assessment of kidney disease in relatives, and the earlier identification of extra-renal disease manifestations. Supplementary Information The online version contains supplementary material available at 10.1007/s44162-024-00031-4.
Collapse
Affiliation(s)
- Gavin Esson
- Renal Services, The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Ian Logan
- Renal Services, The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Katrina Wood
- Histopathology Department, The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, NE1 4LP UK
| | - Andrew C. Browning
- Ophthalmology Department, The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, NE1 4LP UK
| | - John A. Sayer
- Renal Services, The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Central Parkway, Newcastle Upon Tyne, NE1 3BZ UK
- NIHR Newcastle Biomedical Research Centre, Newcastle Upon Tyne, UK
| |
Collapse
|
11
|
Koller A, Filosi M, Weissensteiner H, Fazzini F, Gorski M, Pattaro C, Schönherr S, Forer L, Herold JM, Stark KJ, Döttelmayer P, Hicks AA, Pramstaller PP, Würzner R, Eckardt KU, Heid IM, Fuchsberger C, Lamina C, Kronenberg F. Nuclear and mitochondrial genetic variants associated with mitochondrial DNA copy number. Sci Rep 2024; 14:2083. [PMID: 38267512 PMCID: PMC10808213 DOI: 10.1038/s41598-024-52373-0] [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: 08/29/2023] [Accepted: 01/17/2024] [Indexed: 01/26/2024] Open
Abstract
Mitochondrial DNA copy number (mtDNA-CN) is a biomarker for mitochondrial dysfunction associated with several diseases. Previous genome-wide association studies (GWAS) have been performed to unravel underlying mechanisms of mtDNA-CN regulation. However, the identified gene regions explain only a small fraction of mtDNA-CN variability. Most of this data has been estimated from microarrays based on various pipelines. In the present study we aimed to (1) identify genetic loci for qPCR-measured mtDNA-CN from three studies (16,130 participants) using GWAS, (2) identify potential systematic differences between our qPCR derived mtDNA-CN measurements compared to the published microarray intensity-based estimates, and (3) disentangle the nuclear from mitochondrial regulation of the mtDNA-CN phenotype. We identified two genome-wide significant autosomal loci associated with qPCR-measured mtDNA-CN: at HBS1L (rs4895440, p = 3.39 × 10-13) and GSDMA (rs56030650, p = 4.85 × 10-08) genes. Moreover, 113/115 of the previously published SNPs identified by microarray-based analyses were significantly equivalent with our findings. In our study, the mitochondrial genome itself contributed only marginally to mtDNA-CN regulation as we only detected a single rare mitochondrial variant associated with mtDNA-CN. Furthermore, we incorporated mitochondrial haplogroups into our analyses to explore their potential impact on mtDNA-CN. However, our findings indicate that they do not exert any significant influence on our results.
Collapse
Affiliation(s)
- Adriana Koller
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020, Innsbruck, Austria
| | - Michele Filosi
- Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Hansi Weissensteiner
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020, Innsbruck, Austria
| | - Federica Fazzini
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020, Innsbruck, Austria
| | - Mathias Gorski
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Cristian Pattaro
- Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020, Innsbruck, Austria
| | - Janina M Herold
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Klaus J Stark
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Patricia Döttelmayer
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020, Innsbruck, Austria
| | - Andrew A Hicks
- Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Peter P Pramstaller
- Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Reinhard Würzner
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- German Chronic Kidney Disease Study, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Christian Fuchsberger
- Eurac Research, Institute for Biomedicine, Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Claudia Lamina
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020, Innsbruck, Austria
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020, Innsbruck, Austria.
| |
Collapse
|
12
|
Robert T, Raymond L, Dancer M, Torrents J, Jourde-Chiche N, Burtey S, Béroud C, Mesnard L. Beyond the kidney biopsy: genomic approach to undetermined kidney diseases. Clin Kidney J 2024; 17:sfad099. [PMID: 38186885 PMCID: PMC10765093 DOI: 10.1093/ckj/sfad099] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Indexed: 01/09/2024] Open
Abstract
Background According to data from large national registries, almost 20%-25% of patients with end-stage kidney disease have an undetermined kidney disease (UKD). Recent data have shown that monogenic disease-causing variants are under-diagnosed. We performed exome sequencing (ES) on UKD patients in our center to improve the diagnosis rate. Methods ES was proposed in routine practice for patients with UKD including kidney biopsy from January 2019 to December 2021. Mutations were detected using a targeted bioinformatic customized kidney gene panel (675 genes). The pathogenicity was assessed using American College of Medical Genetics guidelines. Results We included 230 adult patients, median age 47.5 years. Consanguinity was reported by 25 patients. A family history of kidney disease was documented in 115 patients (50%). Kidney biopsies were either inconclusive in 69 patients (30.1%) or impossible in 71 (30.9%). We detected 28 monogenic renal disorders in 75 (32.6%) patients. Collagenopathies was the most common genetic kidney diagnosis (46.7%), with COL4A3 and COL4A4 accounting for 80% of these diagnoses. Tubulopathies (16%) and ciliopathies (14.7%) yielded, respectively, the second and third genetic kidney diagnosis category and UMOD-associated nephropathy as the main genetic findings for tubulopathies (7/11). Ten of the 22 patients having ES "first" eventually received a positive diagnosis, thereby avoiding 11 biopsies. Among the 44 patients with glomerular, tubulo-interstitial or vascular nephropathy, 13 (29.5%) were phenocopies. The diagnostic yield of ES was higher in female patients (P = .02) and in patients with a family history of kidney disease (P < .0001), reaching 56.8% when the patient had both first- and second-degree family history of renal disease. Conclusion Genetic diagnosis has provided new clinical insights by clarifying or reclassifying kidney disease etiology in over a third of UKD patients. Exome "first" may have a significant positive diagnostic yield, thus avoiding invasive kidney biopsy; moreover, the diagnostic yield remains elevated even when biopsy is impossible or inconclusive. ES provides a clinical benefit for routine nephrological healthcare in patients with UKD.
Collapse
Affiliation(s)
- Thomas Robert
- Centre of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France
- Marseille Medical Genetics, Bioinformatics & Genetics, INSERM U1251, Aix-Marseille Université, Marseille, France
| | - Laure Raymond
- Genetics Department, Laboratoire Eurofins Biomnis, Lyon, France
| | - Marine Dancer
- Genetics Department, Laboratoire Eurofins Biomnis, Lyon, France
| | - Julia Torrents
- Department of Renal Pathology, CHU Timone, AP-HM, Marseille, France
| | - Noémie Jourde-Chiche
- Centre of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
| | - Stéphane Burtey
- Centre of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
| | - Christophe Béroud
- Marseille Medical Genetics, Bioinformatics & Genetics, INSERM U1251, Aix-Marseille Université, Marseille, France
| | - Laurent Mesnard
- Urgences Néphrologiques et Transplantation Rénale, Sorbonne Université, APHP, Hôpital Tenon, Paris, France
| |
Collapse
|
13
|
Ruhe J, Nadal J, Bärthlein B, Meiselbach H, Schultheiss UT, Kotsis F, Stockmann H, Krane V, Sommerer C, Löffler I, Saritas T, Kielstein JT, Sitter T, Schneider MP, Schmid M, Wanner C, Eckardt KU, Wolf G, Busch M. Cardiovascular risk due to diabetes mellitus in patients with chronic kidney disease-prospective data from the German Chronic Kidney Disease cohort. Clin Kidney J 2023; 16:2032-2040. [PMID: 37915914 PMCID: PMC10616496 DOI: 10.1093/ckj/sfad194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Indexed: 11/03/2023] Open
Abstract
Background Diabetes mellitus (DM) and chronic kidney disease (CKD) are well-known cardiovascular and mortality risk factors. To what extent they act in an additive manner and whether the etiology of CKD modifies the risk is uncertain. Methods The multicenter, prospective, observational German Chronic Kidney Disease study comprises 5217 participants (1868 with DM) with a baseline mean estimated glomerular filtration rate of 30-60 mL/min/1.73 m2 and/or proteinuria >0.5 g/day. We categorized patients whose CKD was caused by cardiovascular or metabolic diseases (CKDcvm) with and without DM, as opposed to genuine CKD (CKDgen) with and without DM. Recorded outcomes were first events of non-cardiovascular and cardiovascular death, 4-point major adverse cardiovascular events (4-point MACE) and hospitalization for heart failure (HHF). Results During the 6.5-year follow-up 603 (12%) non-cardiovascular and 209 (4%) cardiovascular deaths, 645 (12%) 4-point MACE, and 398 (8%) HHF were observed, most frequently in patients with DM having CKDcvm. DM increased the risk of non-cardiovascular [hazard ratio (HR) 1.92; 95% confidence interval (CI) 1.59-2.32] and cardiovascular (HR 2.25; 95% CI 1.62-3.12) deaths, 4-point MACE (HR 1.93; 95% CI 1.62-2.31) and HHF (HR 1.87; 95% CI 1.48-2.36). Mortality risks were elevated by DM to a similar extent in CKDcvm and CKDgen, but for HHF in CKDcvm only (HR 2.07; 95% CI 1.55-2.77). In patients with DM, CKDcvm (versus CKDgen) only increased the risk for HHF (HR 1.93; 95% CI 1.15-3.22). Conclusions DM contributes to cardiovascular and mortality excess risk in patients with moderate to severe CKD in both, CKDcvm and CKDgen. Patients with DM and CKDcvm are particularly susceptible to HHF.
Collapse
Affiliation(s)
- Johannes Ruhe
- Department of Internal Medicine III, Nephrology, University Hospital Jena – Friedrich Schiller University, Jena, Germany
| | - Jennifer Nadal
- Department of Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Barbara Bärthlein
- Medical Centre for Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Departmentof Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Departmentof Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Helena Stockmann
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Vera Krane
- Division of Nephrology, Department of Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Claudia Sommerer
- Nephrology Unit, University Hospital Heidelberg, Heidelberg, Germany
| | - Ivonne Löffler
- Department of Internal Medicine III, Nephrology, University Hospital Jena – Friedrich Schiller University, Jena, Germany
| | - Turgay Saritas
- Division of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
| | - Jan T Kielstein
- Medical Clinic V Nephrology, Rheumatology, Blood Purification – Academic Teaching Hospital Braunschweig, Braunschweig, Germany
| | - Thomas Sitter
- Department of Medicine, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Markus P Schneider
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Schmid
- Department of Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Christoph Wanner
- Division of Nephrology, Department of Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Gunter Wolf
- Department of Internal Medicine III, Nephrology, University Hospital Jena – Friedrich Schiller University, Jena, Germany
| | - Martin Busch
- Department of Internal Medicine III, Nephrology, University Hospital Jena – Friedrich Schiller University, Jena, Germany
| |
Collapse
|
14
|
Schneider MP, Schmid M, Nadal J, Krane V, Saritas T, Busch M, Schultheiss UT, Meiselbach H, Friedrich N, Nauck M, Floege J, Kronenberg F, Wanner C, Eckardt KU. Copeptin, Natriuretic Peptides, and Cardiovascular Outcomes in Patients With CKD: The German Chronic Kidney Disease (GCKD) Study. Kidney Med 2023; 5:100725. [PMID: 37915964 PMCID: PMC10616426 DOI: 10.1016/j.xkme.2023.100725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023] Open
Abstract
Rationale & Objective Copeptin and Midrange pro-atrial natriuretic peptide (MR-pro-ANP) are associated with outcomes independently of N-terminal pro-brain natriuretic peptide (NT-pro-BNP) in patients with heart failure (HF). The value of these markers in patients with chronic kidney disease (CKD) has not been studied. Study Design Prospective cohort study. Setting & Participants A total of 4,417 patients enrolled in the German Chronic Kidney Disease (GCKD) study with an estimated glomerular filtration rate of 30-60 mL/min/1.73m2 or overt proteinuria (urinary albumin-creatinine ratio >300mg/g or equivalent). Exposures Copeptin, MR-pro-ANP, and NT-pro-BNP levels were measured in baseline samples. Outcomes Noncardiovascular death, cardiovascular (CV) death, major adverse CV event (MACE), and hospitalization for HF. Analytical Approach HRs for associations of Copeptin, MR-pro-ANP, and NT-pro-BNP with outcomes were estimated using Cox regression analyses adjusted for established risk factors. Results During a maximum follow-up of 6.5 years, 413 non-CV deaths, 179 CV deaths, 519 MACE, and 388 hospitalizations for HF were observed. In Cox regression analyses adjusted for established risk factors, each one of the 3 markers were associated with all the 4 outcomes, albeit the highest HRs were found for NT-pro-BNP. When models were extended to include all the 3 markers, NT-pro-BNP remained associated with all 4 outcomes. Conversely, from the 2 novel markers, associations remained only for Copeptin with non-CV death (HR, 1.62; 95% CI, 1.04-2.54 for highest vs lowest quintile) and with hospitalizations for HF (HR, 1.73; 95% CI, 1.08-2.75). Limitations Single-point measurements of Copeptin, MR-pro-ANP, and NT-pro-BNP. Conclusions In patients with moderately severe CKD, we confirm NT-pro-BNP to be strongly associated with all outcomes examined. As the main finding, the novel marker Copeptin demonstrated independent associations with non-CV death and hospitalizations for HF, and should therefore be evaluated further for risk assessment in CKD. Plain-Language Summary A blood sample-based biomarker that indicates high cardiovascular risk in a patient with kidney disease would help to guide interventions and has the potential to improve outcomes. In 4,417 patients of the German Chronic Kidney Disease study, we assessed the relationship of Copeptin, pro-atrial natriuretic peptide, and N-terminal pro-brain natriuretic peptide (NT-pro-BNP) with important outcomes over a follow-up period of 6.5 years. NT-pro-BNP was strongly associated with all of the 4 outcomes, including death unrelated to cardiovascular disease, death because of cardiovascular disease, a major cardiovascular event, and hospitalization for heart failure. Copeptin was associated with death unrelated to cardiovascular disease and hospitalization for heart failure. NT-pro-BNP and Copeptin are, therefore, promising candidates for a blood sample-based strategy to identify patients with kidney disease at high cardiovascular risk.
Collapse
Affiliation(s)
- Markus P. Schneider
- Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Schmid
- Department of Medical Biometry, Informatics, and Epidemiology (IMBIE), University Hospital Bonn, Bonn, Germany
| | - Jennifer Nadal
- Department of Medical Biometry, Informatics, and Epidemiology (IMBIE), University Hospital Bonn, Bonn, Germany
| | - Vera Krane
- Department of Medicine 1, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany
| | - Turgay Saritas
- Department of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
| | - Martin Busch
- Department of Internal Medicine III, University Hospital Jena, Friedrich-Schiller Universität, Jena, Germany
| | - 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
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Jürgen Floege
- Department of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Austria
| | - Christoph Wanner
- Department of Medicine 1, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Germany
| |
Collapse
|
15
|
Sommerer C, Müller-Krebs S, Nadal J, Schultheiss UT, Friedrich N, Nauck M, Schmid M, Nußhag C, Reiser J, Eckardt KU, Zeier M, Hayek SS. Prospective Cohort Study of Soluble Urokinase Plasminogen Activation Receptor and Cardiovascular Events in Patients With CKD. Kidney Int Rep 2023; 8:2265-2275. [PMID: 38025216 PMCID: PMC10658273 DOI: 10.1016/j.ekir.2023.08.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 08/28/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Soluble urokinase plasminogen activation receptor (suPAR) is an immune-derived pathogenic factor for kidney and atherosclerotic disease. Whether the association between suPAR and cardiovascular (CV) outcomes is dependent on the severity of underlying kidney disease is unclear. Methods We measured serum suPAR levels in 4994 participants (mean age 60 years; 60% men; 36% with diabetes mellitus; mean estimated glomerular filtration rate (eGFR) 49 ml/min per 1.73 m2, SD 18) of the German Chronic Kidney Disease (GCKD) cohort and examined its association with all-cause death, CV death, and major CV events (MACE) across the range of eGFR and urine albumin-to-creatinine ratio (UACR). Results The median suPAR level was 1771 pg/ml (interquartile range [IQR] 1447-2254 pg/ml). SuPAR levels were positively and independently correlated with age, eGFR, UACR, and parathyroid hormone levels. There were 573 deaths, including 190 CV deaths and 683 MACE events at a follow-up time of 6.5 years. In multivariable analyses, suPAR levels (log2) were associated with all-cause death (hazard ratio [HR] 1.36, 95% confidence interval [CI] 1.21-1.53), CV death (HR 1.27, 95% CI 1.03-1.57), and MACE (HR 1.13, 95% CI 1.00-1.28), and were not found to differ according to diabetes mellitus status, baseline eGFR, UACR, or parathyroid hormone levels. In mediation analysis, suPAR's direct effect on all-cause death, CV death, and MACE accounted for 77%, 67%, and 60% of the total effect, respectively; whereas the effect mediated through eGFR accounted for 23%, 34%, and 40%, respectively. Conclusion In a large cohort of individuals with chronic kidney disease (CKD), suPAR levels were associated with mortality and CV outcomes independently of indices of kidney function, consistent with its independent role in the pathogenesis of atherosclerosis.
Collapse
Affiliation(s)
- Claudia Sommerer
- Department of Nephrology, University Hospital Heidelberg, Renal Center, Heidelberg, Germany
| | - Sandra Müller-Krebs
- Department of Nephrology, University Hospital Heidelberg, Renal Center, Heidelberg, Germany
| | - Jennifer Nadal
- Department of Medical Biometry, Informatics, and Epidemiology (IMBIE), University Hospital Bonn, Bonn, Germany
| | - Ulla T. Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Department of Medicine IV, Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Matthias Schmid
- Department of Medical Biometry, Informatics, and Epidemiology (IMBIE), University Hospital Bonn, Bonn, Germany
| | - Christian Nußhag
- Department of Nephrology, University Hospital Heidelberg, Renal Center, Heidelberg, Germany
| | - Jochen Reiser
- Department of Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité, Universitätsmedizin Berlin, Berlin, Germany
- Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Martin Zeier
- Department of Nephrology, University Hospital Heidelberg, Renal Center, Heidelberg, Germany
| | - Salim S. Hayek
- Department of Medicine, Division of Cardiology, University of Michigan, Michigan, USA
| |
Collapse
|
16
|
Taal MW, Lucas B, Roderick P, Cockwell P, Wheeler DC, Saleem MA, Fraser SDS, Banks RE, Johnson T, Hale LJ, Andag U, Skroblin P, Bayerlova M, Unwin R, Vuilleumier N, Dusaulcy R, Robertson F, Colby E, Pitcher D, Braddon F, Benavente M, Davies E, Nation M, Kalra PA. Associations with age and glomerular filtration rate in a referred population with chronic kidney disease: methods and baseline data from a UK multicentre cohort study (NURTuRE-CKD). Nephrol Dial Transplant 2023; 38:2617-2626. [PMID: 37230953 PMCID: PMC10615633 DOI: 10.1093/ndt/gfad110] [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: 02/12/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is common but heterogenous and is associated with multiple adverse outcomes. The National Unified Renal Translational Research Enterprise (NURTuRE)-CKD cohort was established to investigate risk factors for clinically important outcomes in persons with CKD referred to secondary care. METHODS Eligible participants with CKD stages G3-4 or stages G1-2 plus albuminuria >30 mg/mmol were enrolled from 16 nephrology centres in England, Scotland and Wales from 2017 to 2019. Baseline assessment included demographic data, routine laboratory data and research samples. Clinical outcomes are being collected over 15 years by the UK Renal Registry using established data linkage. Baseline data are presented with subgroup analysis by age, sex and estimated glomerular filtration rate (eGFR). RESULTS A total of 2996 participants was enrolled. Median (interquartile range) age was 66 (54-74) years, eGFR 33.8 (24.0-46.6) mL/min/1.73 m2 and urine albumin to creatinine ratio 209 (33-926) mg/g; 58.5% were male. Of these participants, 1883 (69.1%) were in high-risk CKD categories. Primary renal diagnosis was CKD of unknown cause in 32.3%, glomerular disease in 23.4% and diabetic kidney disease in 11.5%. Older participants and those with lower eGFR had higher systolic blood pressure and were less likely to be treated with renin-angiotensin system inhibitors (RASi) but were more likely to receive a statin. Female participants were less likely to receive a RASi or statin. CONCLUSIONS NURTuRE-CKD is a prospective cohort of persons who are at relatively high risk of adverse outcomes. Long-term follow-up and a large biorepository create opportunities for research to improve risk prediction and to investigate underlying mechanisms to inform new treatment development.
Collapse
Affiliation(s)
- Maarten W Taal
- Centre for Kidney Research and Innovation, Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Renal Medicine, Royal Derby Hospital, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
| | - Bethany Lucas
- Centre for Kidney Research and Innovation, Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Renal Medicine, Royal Derby Hospital, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
| | - Paul Roderick
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Paul Cockwell
- Department of Renal Medicine, Queen Elizabeth Hospital, University Hospitals of Birmingham, Birmingham, UK
| | | | - Moin A Saleem
- Bristol Renal and Children's Renal Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Simon D S Fraser
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Rosamonde E Banks
- Leeds Institute of Medical Research at St James's, School of Medicine, University of Leeds, Leeds, UK
| | - Tim Johnson
- Experimental Renal Medicine, Human Metabolism and Oncology, The Medical School, University of Sheffield, Sheffield, UK
| | | | - Uwe Andag
- Evotec International GmbH, Göttingen, Germany
| | | | | | - Robert Unwin
- AstraZeneca BioPharmaceuticals, Cambridge Biomedical Campus, Cambridge, UK
| | - Nicolas Vuilleumier
- Diagnostics Department, Laboratory Medicine Division, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Rodolphe Dusaulcy
- Diagnostics Department, Laboratory Medicine Division, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Fiona Robertson
- Centre for Kidney Research and Innovation, Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - Elizabeth Colby
- Bristol Renal and Children's Renal Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | | | | | - Melissa Benavente
- Centre for Kidney Research and Innovation, Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| | | | | | - Philip A Kalra
- Renal Services, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
| |
Collapse
|
17
|
Reimer KC, Nadal J, Meiselbach H, Schmid M, Schultheiss UT, Kotsis F, Stockmann H, Friedrich N, Nauck M, Krane V, Eckardt KU, Schneider MP, Kramann R, Floege J, Saritas T. Association of mineral and bone biomarkers with adverse cardiovascular outcomes and mortality in the German Chronic Kidney Disease (GCKD) cohort. Bone Res 2023; 11:52. [PMID: 37857629 PMCID: PMC10587182 DOI: 10.1038/s41413-023-00291-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 09/07/2023] [Indexed: 10/21/2023] Open
Abstract
Mineral and bone disorder (MBD) in chronic kidney disease (CKD) is tightly linked to cardiovascular disease (CVD). In this study, we aimed to compare the prognostic value of nine MBD biomarkers to determine those associated best with adverse cardiovascular (CV) outcomes and mortality. In 5 217 participants of the German CKD (GCKD) study enrolled with an estimated glomerular filtration rate (eGFR) between 30-60 mL·min-1 per 1.73 m2 or overt proteinuria, serum osteoprotegerin (OPG), C-terminal fibroblast growth factor-23 (FGF23), intact parathyroid hormone (iPTH), bone alkaline phosphatase (BAP), cross-linked C-telopeptide of type 1 collagen (CTX1), procollagen 1 intact N-terminal propeptide (P1NP), phosphate, calcium, and 25-OH vitamin D were measured at baseline. Participants with missing values among these parameters (n = 971) were excluded, leaving a total of 4 246 participants for analysis. During a median follow-up of 6.5 years, 387 non-CV deaths, 173 CV deaths, 645 nonfatal major adverse CV events (MACEs) and 368 hospitalizations for congestive heart failure (CHF) were observed. OPG and FGF23 were associated with all outcomes, with the highest hazard ratios (HRs) for OPG. In the final Cox regression model, adjusted for CV risk factors, including kidney function and all other investigated biomarkers, each standard deviation increase in OPG was associated with non-CV death (HR 1.76, 95% CI: 1.35-2.30), CV death (HR 2.18, 95% CI: 1.50-3.16), MACE (HR 1.38, 95% CI: 1.12-1.71) and hospitalization for CHF (HR 2.05, 95% CI: 1.56-2.69). Out of the nine biomarkers examined, stratification based on serum OPG best identified the CKD patients who were at the highest risk for any adverse CV outcome and mortality.
Collapse
Affiliation(s)
- Katharina Charlotte Reimer
- Department of Nephrology, Rheumatology, and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, Aachen, Germany
- Institute for Cell and Tumor Biology, RWTH Aachen University, Aachen, Germany
| | - Jennifer Nadal
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital of Bonn, Bonn, Germany
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Schmid
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital of Bonn, Bonn, Germany
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV - Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV - Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Helena Stockmann
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Nephrology, University Medical Center Regensburg, Regensburg, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Vera Krane
- Department of Medicine I, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Markus P Schneider
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Rafael Kramann
- Department of Nephrology, Rheumatology, and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, Aachen, Germany
| | - Jürgen Floege
- Department of Nephrology, Rheumatology, and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
| | - Turgay Saritas
- Department of Nephrology, Rheumatology, and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany.
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, Aachen, Germany.
| |
Collapse
|
18
|
Robert T, greillier S, Torrents J, Raymond L, Dancer M, Jourde-Chiche N, Halimi JM, Burtey S, Béroud C, Mesnard L. Diagnosis of Kidney Diseases of Unknown Etiology Through Biopsy-Genetic Analysis. Kidney Int Rep 2023; 8:2077-2087. [PMID: 37850010 PMCID: PMC10577324 DOI: 10.1016/j.ekir.2023.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 06/29/2023] [Accepted: 07/11/2023] [Indexed: 10/19/2023] Open
Abstract
Introduction Previous studies have suggested that genetic kidney diseases in adults are often overlooked, representing up to 10% of all cases of chronic kidney disease (CKD). We present data obtained from exome sequencing (ES) analysis of patients with biopsy-proven undetermined kidney disease (UKD). Methods ES was proposed during routine clinical care in patients with UKD from January 2020 to December 2021. We used in silico custom kidney genes panel analysis to detect pathological variations using American College of Medical Genetics guidelines in 52 patients with biopsy-proven UKD with histological finding reassessment. Results We detected 12 monogenic renal disorders in 21 (40.4%) patients. The most common diagnoses were collagenopathies (8/21,38.1%), COL4A3 and COL4A4 accounting for 80% of these diagnoses, and ciliopathies (5/21, 23.8%). The diagnostic yield of ES was higher in female patients and patients with a family history of kidney disease (57.1% and 71%, respectively). Clinical nephropathy categories matched with the final genetic diagnoses in 72.7% of cases, whereas histological renal lesions matched with the final diagnoses in 92.3% of cases. The genetics diagnoses and histopathological findings were in complete agreement for both glomerular and tubulointerstitial cases. Interstitial inflammation without tubulitis was only observed in tubulopathies or ciliopathies. Isolated CKD, CKD with proteinuria or hematuria, and isolated proteinuria or hematuria yielded the highest diagnostic yields (54.6%, 52.6%, and 42.9%, respectively). Conclusion ES done in patients with biopsy-proven UKD should be considered as a first-line tool for CKD patients with a family history of kidney disease. Combination of ES and kidney biopsy may have major impacts on kidney disease ontology.
Collapse
Affiliation(s)
- Thomas Robert
- Center of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France
- Marseille medical genetics, Bioinformatics & Genetics, INSERM U1251, Aix-Marseille Université, Marseille, France
| | - Sophie greillier
- Center of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France
| | - Julia Torrents
- Department of Renal Pathology, CHU Timone, AP-HM, Marseille, France
| | - Laure Raymond
- Genetics Department, Laboratoire Eurofins Biomnis, Lyon, France
| | - Marine Dancer
- Department of Renal Pathology, CHU Timone, AP-HM, Marseille, France
| | - Noémie Jourde-Chiche
- Center of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
| | - Jean-Michel Halimi
- Néphrologie-Immunologie Clinique, Hôpital Bretonneau, CHU Tours, Tours, France
| | - Stéphane Burtey
- Center of Nephrology and Renal Transplantation, Hôpital de la Conception, CHU de Marseille, Marseille, France
- Aix-Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
| | - Christophe Béroud
- Marseille medical genetics, Bioinformatics & Genetics, INSERM U1251, Aix-Marseille Université, Marseille, France
| | - Laurent Mesnard
- Soins Intensifs Néphrologiques et Rein Aigu (SINRA), Sorbonne Université, APHP, Hôpital Tenon, Paris, France
| |
Collapse
|
19
|
Zafar R, Rehman IU, Shah Y, Ming LC, Goh HP, Goh KW. Comparative analysis of potential drug-drug interactions in a public and private hospital among chronic kidney disease patients in Khyber Pakhtunkhwa: A retrospective cross-sectional study. PLoS One 2023; 18:e0291417. [PMID: 37773947 PMCID: PMC10540949 DOI: 10.1371/journal.pone.0291417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 08/29/2023] [Indexed: 10/01/2023] Open
Abstract
INTRODUCTION Chronic kidney disease (CKD) is a significant public health challenge due to its rising incidence, mortality, and morbidity. Patients with kidney diseases often suffer from various comorbid conditions, making them susceptible to potential drug-drug interactions (pDDIs) due to polypharmacy and multiple prescribers. Inappropriate prescriptions for CKD patients and their consequences in the form of pDDIs are a major challenge in Pakistan. AIM This study aimed to compare the incidence and associated risk factors of pDDIs among a public and private sector hospital in Khyber Pakhtunkhwa, Pakistan. METHOD A retrospective cross-sectional study design was conducted to compare pDDIs among public and private sector hospitals from January 2023 to February 2023. Patients profile data for the full year starting from January 1 2022 to December 302022, was accessed All adult patients aged 18 years and above, of both genders, who currently have or have previously been diagnosed with end-stage renal disease (ESRD) were included. For assessing pDDIs, patient data was retrieved and checked using Lexicomp UpToDate® for severity and documentation of potential drug-drug interactions. RESULTS A total of 358 patients' data was retrieved (with n = 179 in each hospital); however, due to incomplete data, n = 4 patients were excluded from the final analysis. The prevalence of pDDIs was found to be significantly higher in private hospitals (84.7%) than in public hospitals (26.6%), with a p-value <0.001. Patients in the age category of 41-60 years (AOR = 6.2; p = 0.008) and those prescribed a higher number of drugs (AOR = 1.2; p = 0.027) were independently associated with pDDIs in private hospitals, while the higher number of prescribed drugs (AOR = 2.9; p = <0.001) was an independent risk factor for pDDIs in public hospitals. The majority of pDDIs (79.0%) were of moderate severity, and a significant number of patients (15.1%) also experienced major pDDIs, with a p-value <0.001. The majority of pDDIs had fair documentation for reliability rating in both public and private hospitals. CONCLUSION The prevalence of pDDIs was higher among CKD patients at private hospitals, and most of the pDDIs were of moderate severity. A considerable number of patients also experienced major pDDIs. The risk of experiencing pDDIs was found to be higher in older patients and among those prescribed a higher number of drugs.
Collapse
Affiliation(s)
- Roheena Zafar
- Department of Pharmacy, Garden Campus, Abdul Wali Khan University Mardan, Mardan, Pakistan
- Department of Pharmacy, North West General Hospital and Research Center, Hayatabad Peshawar, Pakistan
| | - Inayat Ur Rehman
- Department of Pharmacy, Garden Campus, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Yasar Shah
- Department of Pharmacy, Garden Campus, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Long Chiau Ming
- School of Medical and Life Sciences, Sunway University, Bandar Sunway, Malaysia
| | - Hui Poh Goh
- PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei Darussalam
| | - Khang Wen Goh
- Faculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia
| |
Collapse
|
20
|
Marassi M, Fadini GP. The cardio-renal-metabolic connection: a review of the evidence. Cardiovasc Diabetol 2023; 22:195. [PMID: 37525273 PMCID: PMC10391899 DOI: 10.1186/s12933-023-01937-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 07/22/2023] [Indexed: 08/02/2023] Open
Abstract
Type 2 diabetes (T2D), cardiovascular disease (CVD) and chronic kidney disease (CKD), are recognized among the most disruptive public health issues of the current century. A large body of evidence from epidemiological and clinical research supports the existence of a strong interconnection between these conditions, such that the unifying term cardio-metabolic-renal (CMR) disease has been defined. This coexistence has remarkable epidemiological, pathophysiologic, and prognostic implications. The mechanisms of hyperglycemia-induced damage to the cardio-renal system are well validated, as are those that tie cardiac and renal disease together. Yet, it remains controversial how and to what extent CVD and CKD can promote metabolic dysregulation. The aim of this review is to recapitulate the epidemiology of the CMR connections; to discuss the well-established, as well as the putative and emerging mechanisms implicated in the interplay among these three entities; and to provide a pathophysiological background for an integrated therapeutic intervention aiming at interrupting this vicious crosstalks.
Collapse
Affiliation(s)
- Marella Marassi
- Department of Medicine, Division of Metabolic Diseases, University of Padova, Via Giustiniani 2, 35128, Padua, Italy
| | - Gian Paolo Fadini
- Department of Medicine, Division of Metabolic Diseases, University of Padova, Via Giustiniani 2, 35128, Padua, Italy.
- Veneto Institute of Molecular Medicine, 35129, Padua, Italy.
| |
Collapse
|
21
|
Anders HJ, Kitching AR, Leung N, Romagnani P. Glomerulonephritis: immunopathogenesis and immunotherapy. Nat Rev Immunol 2023; 23:453-471. [PMID: 36635359 PMCID: PMC9838307 DOI: 10.1038/s41577-022-00816-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/23/2022] [Indexed: 01/14/2023]
Abstract
'Glomerulonephritis' (GN) is a term used to describe a group of heterogeneous immune-mediated disorders characterized by inflammation of the filtration units of the kidney (the glomeruli). These disorders are currently classified largely on the basis of histopathological lesion patterns, but these patterns do not align well with their diverse pathological mechanisms and hence do not inform optimal therapy. Instead, we propose grouping GN disorders into five categories according to their immunopathogenesis: infection-related GN, autoimmune GN, alloimmune GN, autoinflammatory GN and monoclonal gammopathy-related GN. This categorization can inform the appropriate treatment; for example, infection control for infection-related GN, suppression of adaptive immunity for autoimmune GN and alloimmune GN, inhibition of single cytokines or complement factors for autoinflammatory GN arising from inborn errors in innate immunity, and plasma cell clone-directed or B cell clone-directed therapy for monoclonal gammopathies. Here we present the immunopathogenesis of GN and immunotherapies in use and in development and discuss how an immunopathogenesis-based GN classification can focus research, and improve patient management and teaching.
Collapse
Affiliation(s)
- Hans-Joachim Anders
- Division of Nephrology, Department of Medicine IV, University Hospital, Ludwig Maximilian University Munich, Munich, Germany.
| | - A Richard Kitching
- Centre for Inflammatory Diseases, Monash University Department of Medicine, Monash Medical Centre, Clayton, VIC, Australia
- Department of Nephrology, Monash Health, Clayton, VIC, Australia
- Department of Paediatric Nephrology, Monash Health, Clayton, VIC, Australia
| | - Nelson Leung
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Paola Romagnani
- Department of Experimental and Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
- Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Florence, Italy
| |
Collapse
|
22
|
Kiryluk K, Sanchez-Rodriguez E, Zhou XJ, Zanoni F, Liu L, Mladkova N, Khan A, Marasa M, Zhang JY, Balderes O, Sanna-Cherchi S, Bomback AS, Canetta PA, Appel GB, Radhakrishnan J, Trimarchi H, Sprangers B, Cattran DC, Reich H, Pei Y, Ravani P, Galesic K, Maixnerova D, Tesar V, Stengel B, Metzger M, Canaud G, Maillard N, Berthoux F, Berthelot L, Pillebout E, Monteiro R, Nelson R, Wyatt RJ, Smoyer W, Mahan J, Samhar AA, Hidalgo G, Quiroga A, Weng P, Sreedharan R, Selewski D, Davis K, Kallash M, Vasylyeva TL, Rheault M, Chishti A, Ranch D, Wenderfer SE, Samsonov D, Claes DJ, Akchurin O, Goumenos D, Stangou M, Nagy J, Kovacs T, Fiaccadori E, Amoroso A, Barlassina C, Cusi D, Del Vecchio L, Battaglia GG, Bodria M, Boer E, Bono L, Boscutti G, Caridi G, Lugani F, Ghiggeri G, Coppo R, Peruzzi L, Esposito V, Esposito C, Feriozzi S, Polci R, Frasca G, Galliani M, Garozzo M, Mitrotti A, Gesualdo L, Granata S, Zaza G, Londrino F, Magistroni R, Pisani I, Magnano A, Marcantoni C, Messa P, Mignani R, Pani A, Ponticelli C, Roccatello D, Salvadori M, Salvi E, Santoro D, Gembillo G, Savoldi S, Spotti D, Zamboli P, Izzi C, Alberici F, Delbarba E, Florczak M, Krata N, Mucha K, Pączek L, Niemczyk S, Moszczuk B, Pańczyk-Tomaszewska M, Mizerska-Wasiak M, Perkowska-Ptasińska A, Bączkowska T, Durlik M, Pawlaczyk K, Sikora P, Zaniew M, Kaminska D, Krajewska M, Kuzmiuk-Glembin I, Heleniak Z, Bullo-Piontecka B, Liberek T, Dębska-Slizien A, Hryszko T, Materna-Kiryluk A, Miklaszewska M, Szczepańska M, Dyga K, Machura E, Siniewicz-Luzeńczyk K, Pawlak-Bratkowska M, Tkaczyk M, Runowski D, Kwella N, Drożdż D, Habura I, Kronenberg F, Prikhodina L, van Heel D, Fontaine B, Cotsapas C, Wijmenga C, Franke A, Annese V, Gregersen PK, Parameswaran S, Weirauch M, Kottyan L, Harley JB, Suzuki H, Narita I, Goto S, Lee H, Kim DK, Kim YS, Park JH, Cho B, Choi M, Van Wijk A, Huerta A, Ars E, Ballarin J, Lundberg S, Vogt B, Mani LY, Caliskan Y, Barratt J, Abeygunaratne T, Kalra PA, Gale DP, Panzer U, Rauen T, Floege J, Schlosser P, Ekici AB, Eckardt KU, Chen N, Xie J, Lifton RP, Loos RJF, Kenny EE, Ionita-Laza I, Köttgen A, Julian BA, Novak J, Scolari F, Zhang H, Gharavi AG. Genome-wide association analyses define pathogenic signaling pathways and prioritize drug targets for IgA nephropathy. Nat Genet 2023; 55:1091-1105. [PMID: 37337107 DOI: 10.1038/s41588-023-01422-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 05/05/2023] [Indexed: 06/21/2023]
Abstract
IgA nephropathy (IgAN) is a progressive form of kidney disease defined by glomerular deposition of IgA. Here we performed a genome-wide association study of 10,146 kidney-biopsy-diagnosed IgAN cases and 28,751 controls across 17 international cohorts. We defined 30 genome-wide significant risk loci explaining 11% of disease risk. A total of 16 loci were new, including TNFSF4/TNFSF18, REL, CD28, PF4V1, LY86, LYN, ANXA3, TNFSF8/TNFSF15, REEP3, ZMIZ1, OVOL1/RELA, ETS1, IGH, IRF8, TNFRSF13B and FCAR. The risk loci were enriched in gene orthologs causing abnormal IgA levels when genetically manipulated in mice. We also observed a positive genetic correlation between IgAN and serum IgA levels. High polygenic score for IgAN was associated with earlier onset of kidney failure. In a comprehensive functional annotation analysis of candidate causal genes, we observed convergence of biological candidates on a common set of inflammatory signaling pathways and cytokine ligand-receptor pairs, prioritizing potential new drug targets.
Collapse
Affiliation(s)
- Krzysztof Kiryluk
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA.
- Institute for Genomic Medicine, Columbia University, New York City, NY, USA.
| | - Elena Sanchez-Rodriguez
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Xu-Jie Zhou
- Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China
| | - Francesca Zanoni
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Lili Liu
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Nikol Mladkova
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Atlas Khan
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Maddalena Marasa
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Jun Y Zhang
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Olivia Balderes
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Simone Sanna-Cherchi
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
- Institute for Genomic Medicine, Columbia University, New York City, NY, USA
| | - Andrew S Bomback
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Pietro A Canetta
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Gerald B Appel
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Jai Radhakrishnan
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Hernan Trimarchi
- Nephrology Service, Hospital Británico de Buenos Aires, Buenos Aires, Argentina
| | - Ben Sprangers
- Department of Microbiology and Immunology, Laboratory of Molecular Immunology, KU Leuven, Leuven, Belgium
- Division of Nephrology, University Hospitals Leuven, Leuven, Belgium
| | - Daniel C Cattran
- Department of Nephrology, University of Toronto, Toronto General Hospital, Toronto, Ontario, Canada
| | - Heather Reich
- Department of Nephrology, University of Toronto, Toronto General Hospital, Toronto, Ontario, Canada
| | - York Pei
- Department of Nephrology, University of Toronto, Toronto General Hospital, Toronto, Ontario, Canada
| | - Pietro Ravani
- Division of Nephrology, Department of Internal Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | - Dita Maixnerova
- 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Vladimir Tesar
- 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Benedicte Stengel
- Centre for Research in Epidemiology and Population Health (CESP), Paris-Saclay University, Versailles Saint Quentin University, INSERM Clinical Epidemiology Team, Villejuif, France
| | - Marie Metzger
- Centre for Research in Epidemiology and Population Health (CESP), Paris-Saclay University, Versailles Saint Quentin University, INSERM Clinical Epidemiology Team, Villejuif, France
| | - Guillaume Canaud
- Université de Paris, Hôpital Necker-Enfants Malades, Paris, France
| | - Nicolas Maillard
- Nephrology, Dialysis, and Renal Transplantation Department, University North Hospital, Saint Etienne, France
| | - Francois Berthoux
- Nephrology, Dialysis, and Renal Transplantation Department, University North Hospital, Saint Etienne, France
| | | | - Evangeline Pillebout
- Center for Research on Inflammation, University of Paris, INSERM and CNRS, Paris, France
| | - Renato Monteiro
- Center for Research on Inflammation, University of Paris, INSERM and CNRS, Paris, France
| | - Raoul Nelson
- Division of Pediatric Nephrology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Robert J Wyatt
- Division of Pediatric Nephrology, University of Tennessee Health Sciences Center, Memphis, TN, USA
- Children's Foundation Research Center, Le Bonheur Children's Hospital, Memphis, TN, USA
| | - William Smoyer
- Division of Pediatric Nephrology, Nationwide Children's Hospital, Columbus, OH, USA
| | - John Mahan
- Division of Pediatric Nephrology, Nationwide Children's Hospital, Columbus, OH, USA
| | - Al-Akash Samhar
- Division of Pediatric Nephrology, Driscoll Children's Hospital, Corpus Christi, TX, USA
| | - Guillermo Hidalgo
- Division of Pediatric Nephrology, Department of Pediatrics, HMH Hackensack University Medical Center, Hackensack, NJ, USA
| | - Alejandro Quiroga
- Division of Pediatric Nephrology, Helen DeVos Children's Hospital, Grand Rapids, MI, USA
| | - Patricia Weng
- Division of Pediatric Nephrology, Mattel Children's Hospital, Los Angeles, CA, USA
| | - Raji Sreedharan
- Division of Pediatric Nephrology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - David Selewski
- Division of Pediatric Nephrology, Mott Children's Hospital, Ann Arbor, MI, USA
| | - Keefe Davis
- Division of Pediatric Nephrology, Department of Pediatrics, The Medical University of South Carolina (MUSC), Charleston, SC, USA
| | - Mahmoud Kallash
- Division of Pediatric Nephrology, SUNY Buffalo, Buffalo, NY, USA
| | - Tetyana L Vasylyeva
- Division of Pediatric Nephrology, Department of Pediatrics, Nationwide Children's Hospital, Columbus, OH, USA
| | - Michelle Rheault
- Division of Pediatric Nephrology, University of Minnesota, Minneapolis, MN, USA
| | - Aftab Chishti
- Division of Pediatric Nephrology, University of Kentucky, Lexington, KY, USA
| | - Daniel Ranch
- Division of Pediatric Nephrology, Department of Pediatrics, University of Kentucky, Lexington, KY, USA
| | - Scott E Wenderfer
- Division of Pediatric Nephrology, Baylor College of Medicine/Texas Children's Hospital, Houston, TX, USA
| | - Dmitry Samsonov
- Division of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA
| | - Donna J Claes
- Division of Pediatric Nephrology, Department of Pediatrics, New York Medical College, New York City, NY, USA
| | - Oleh Akchurin
- Division of Pediatric Nephrology, Department of Pediatrics, Weill Cornell Medical College, New York City, NY, USA
| | | | - Maria Stangou
- The Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Judit Nagy
- 2nd Department of Internal Medicine, Nephrological and Diabetological Center, University of Pécs, Pécs, Hungary
| | - Tibor Kovacs
- 2nd Department of Internal Medicine, Nephrological and Diabetological Center, University of Pécs, Pécs, Hungary
| | - Enrico Fiaccadori
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Antonio Amoroso
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Cristina Barlassina
- Renal Division, Dipartimento di Medicina, Chirurgia e Odontoiatria, San Paolo Hospital, School of Medicine, University of Milan, Milan, Italy
| | - Daniele Cusi
- Renal Division, Dipartimento di Medicina, Chirurgia e Odontoiatria, San Paolo Hospital, School of Medicine, University of Milan, Milan, Italy
| | | | | | | | - Emanuela Boer
- Division of Nephrology and Dialysis, Gorizia Hospital, Gorizia, Italy
| | - Luisa Bono
- Nephrology and Dialysis, A.R.N.A.S. Civico and Benfratelli, Palermo, Italy
| | - Giuliano Boscutti
- Nephrology, Dialysis and Renal Transplant Unit, S. Maria della Misericordia Hospital, ASUFC, Udine, Italy
| | - Gianluca Caridi
- Division of Nephrology, Dialysis and Transplantation, IRCCS Giannina Gaslini Institute, Genova, Italy
| | - Francesca Lugani
- Division of Nephrology, Dialysis and Transplantation, IRCCS Giannina Gaslini Institute, Genova, Italy
| | - GianMarco Ghiggeri
- Division of Nephrology, Dialysis and Transplantation, IRCCS Giannina Gaslini Institute, Genova, Italy
| | - Rosanna Coppo
- Regina Margherita Children's Hospital, Torino, Italy
| | - Licia Peruzzi
- Regina Margherita Children's Hospital, Torino, Italy
| | | | | | | | | | - Giovanni Frasca
- Division of Nephrology, Dialysis and Renal Transplantation, Riuniti Hospital, Ancona, Italy
| | | | - Maurizio Garozzo
- Unità Operativa di Nefrologia e Dialisi, Ospedale di Acireale, Acireale, Italy
| | - Adele Mitrotti
- Nephrology, Dialysis and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy
| | - Loreto Gesualdo
- Nephrology, Dialysis and Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy
| | - Simona Granata
- Renal Unit, Department of Medicine, University of Verona, Verona, Italy
| | - Gianluigi Zaza
- Renal Unit, Department of Medicine, University of Verona, Verona, Italy
| | | | - Riccardo Magistroni
- Department of Surgical, Medical, Dental, Oncologic and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Isabella Pisani
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Andrea Magnano
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | | | - Piergiorgio Messa
- Nephrology Dialysis and Kidney Transplant Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy
| | - Renzo Mignani
- Azienda Unità Sanitaria Locale Rimini, Rimini, Italy
| | - Antonello Pani
- Department of Nephrology and Dialysis, G. Brotzu Hospital, Cagliari, Italy
| | | | - Dario Roccatello
- Nephrology and Dialysis Unit, G. Bosco Hub Hospital (ERK-net Member) and University of Torino, Torino, Italy
| | - Maurizio Salvadori
- Division of Nephrology and Renal Transplantation, Carreggi Hospital, Florence, Italy
| | - Erica Salvi
- Renal Division, DMCO (Dipartimento di Medicina, Chirurgia e Odontoiatria), San Paolo Hospital, School of Medicine, University of Milan, Milan, Italy
| | - Domenico Santoro
- Unit of Nephrology and Dialysis, AOU G Martino, University of Messina, Messina, Italy
| | - Guido Gembillo
- Unit of Nephrology and Dialysis, AOU G Martino, University of Messina, Messina, Italy
| | - Silvana Savoldi
- Unit of Nephrology and Dialysis, ASL TO4-Consultorio Cirié, Turin, Italy
| | | | | | - Claudia Izzi
- Department of Medical and Surgical Specialties and Nephrology Unit, University of Brescia-ASST Spedali Civili, Brescia, Italy
| | - Federico Alberici
- Department of Medical and Surgical Specialties and Nephrology Unit, University of Brescia-ASST Spedali Civili, Brescia, Italy
| | - Elisa Delbarba
- Department of Medical and Surgical Specialties and Nephrology Unit, University of Brescia-ASST Spedali Civili, Brescia, Italy
| | - Michał Florczak
- Department of Immunology, Transplantology and Internal Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Natalia Krata
- Department of Immunology, Transplantology and Internal Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Krzysztof Mucha
- Department of Immunology, Transplantology and Internal Diseases, Medical University of Warsaw, Warsaw, Poland
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland
| | - Leszek Pączek
- Department of Immunology, Transplantology and Internal Diseases, Medical University of Warsaw, Warsaw, Poland
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland
| | - Stanisław Niemczyk
- Department of Internal Disease, Nephrology and Dialysotherapy, Military Institute of Medicine, Warsaw, Poland
| | - Barbara Moszczuk
- Department of Immunology, Transplantology and Internal Diseases, Medical University of Warsaw, Warsaw, Poland
- Department of Clinical Immunology, Medical University of Warsaw, Warsaw, Poland
| | | | | | | | - Teresa Bączkowska
- Department of Transplantation Medicine, Nephrology and Internal Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Magdalena Durlik
- Department of Transplantation Medicine, Nephrology and Internal Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Krzysztof Pawlaczyk
- Department of Nephrology, Transplantology and Internal Medicine, Poznan Medical University, Poznan, Poland
| | - Przemyslaw Sikora
- Department of Pediatric Nephrology, Medical University of Lublin, Lublin, Poland
| | - Marcin Zaniew
- Department of Pediatrics, University of Zielona Góra, Zielona Góra, Poland
| | - Dorota Kaminska
- Clinical Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Magdalena Krajewska
- Clinical Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Izabella Kuzmiuk-Glembin
- Department of Nephrology, Transplantology and Internal Diseases, Medical University of Gdansk, Gdansk, Poland
| | - Zbigniew Heleniak
- Department of Nephrology, Transplantology and Internal Diseases, Medical University of Gdansk, Gdansk, Poland
| | - Barbara Bullo-Piontecka
- Department of Nephrology, Transplantology and Internal Diseases, Medical University of Gdansk, Gdansk, Poland
| | - Tomasz Liberek
- Department of Nephrology, Transplantology and Internal Diseases, Medical University of Gdansk, Gdansk, Poland
| | - Alicja Dębska-Slizien
- Department of Nephrology, Transplantology and Internal Diseases, Medical University of Gdansk, Gdansk, Poland
| | - Tomasz Hryszko
- 2nd Department of Nephrology and Hypertension with Dialysis Unit, Medical University of Bialystok, Bialystok, Poland
| | | | - Monika Miklaszewska
- Department of Pediatric Nephrology and Hypertension, Jagiellonian University Medical College, Krakow, Poland
| | - Maria Szczepańska
- Department of Pediatrics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Katowice, Poland
| | - Katarzyna Dyga
- Department of Pediatrics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Katowice, Poland
| | - Edyta Machura
- Department of Pediatrics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Katowice, Poland
| | - Katarzyna Siniewicz-Luzeńczyk
- Department of Pediatrics, Immunology and Nephrology, Polish Mother's Memorial Hospital Research Institute, Lodz, Poland
| | - Monika Pawlak-Bratkowska
- Department of Pediatrics, Immunology and Nephrology, Polish Mother's Memorial Hospital Research Institute, Lodz, Poland
| | - Marcin Tkaczyk
- Department of Pediatrics, Immunology and Nephrology, Polish Mother's Memorial Hospital Research Institute, Lodz, Poland
| | - Dariusz Runowski
- Department of Nephrology, Kidney Transplantation and Hypertension, Children's Memorial Health Institute, Warsaw, Poland
| | - Norbert Kwella
- Department of Nephrology, Hypertension and Internal Medicine, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
| | - Dorota Drożdż
- Department of Pediatric Nephrology and Hypertension, Jagiellonian University Medical College, Krakow, Poland
| | - Ireneusz Habura
- Department of Nephrology, Karol Marcinkowski Hospital, Zielona Góra, Poland
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Larisa Prikhodina
- Division of Inherited and Acquired Kidney Diseases, Veltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University, Moscow, Russia
| | - David van Heel
- Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Bertrand Fontaine
- Sorbonne University, INSERM, Center of Research in Myology, Institute of Myology, University Hospital Pitie-Salpetriere, Paris, France
- Assistance Publique-Hôpitaux de Paris (AP-HP), Service of Neuro-Myology, University Hospital Pitie-Salpetriere, Paris, France
| | - Chris Cotsapas
- Departments of Neurology and Genetics, Yale University, New Haven, CT, USA
| | | | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Vito Annese
- CBP American Hospital, Dubai, United Arab Emirates
| | - Peter K Gregersen
- Robert S. Boas Center for Genomics and Human Genetics, Feinstein Institutes for Medical Research, North Shore LIJ Health System, New York City, NY, USA
| | | | - Matthew Weirauch
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Leah Kottyan
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - John B Harley
- US Department of Veterans Affairs Medical Center and Cincinnati Education and Research for Veterans Foundation, Cincinnati, OH, USA
| | - Hitoshi Suzuki
- Department of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Ichiei Narita
- Division of Clinical Nephrology and Rheumatology, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Shin Goto
- Division of Clinical Nephrology and Rheumatology, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Hajeong Lee
- Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yon Su Kim
- Biomedical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jin-Ho Park
- Department of Family Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Republic of Korea
| | - BeLong Cho
- Department of Family Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Republic of Korea
- Institute on Aging, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Murim Choi
- Biomedical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ans Van Wijk
- Amsterdam University Medical Centre, VU University Medical Center (VUMC), Amsterdam, the Netherlands
| | - Ana Huerta
- Hospital Universitario Puerta del Hierro Majadahonda, REDINREN, IISCIII, Madrid, Spain
| | - Elisabet Ars
- Molecular Biology Laboratory and Nephrology Department, Fundació Puigvert, Instituto de Investigaciones Biomédicas Sant Pau, Universitat Autònoma de Barcelona, REDINREN, IISCIII, Barcelona, Spain
| | - Jose Ballarin
- Molecular Biology Laboratory and Nephrology Department, Fundació Puigvert, Instituto de Investigaciones Biomédicas Sant Pau, Universitat Autònoma de Barcelona, REDINREN, IISCIII, Barcelona, Spain
| | - Sigrid Lundberg
- Department of Nephrology, Danderyd University Hospital, and Department of Clinical Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Bruno Vogt
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Laila-Yasmin Mani
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Yasar Caliskan
- Division of Nephrology, Saint Louis University, Saint Louis, MO, USA
| | - Jonathan Barratt
- John Walls Renal Unit, University Hospitals of Leicester, Leicester, UK
| | | | | | - Daniel P Gale
- Department of Renal Medicine, University College London, London, UK
| | | | - Thomas Rauen
- Division of Nephrology and Clinical Immunology, RWTH Aachen University, Aachen, Germany
| | - Jürgen Floege
- Division of Nephrology and Clinical Immunology, RWTH Aachen University, Aachen, Germany
| | - Pascal Schlosser
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Arif B Ekici
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Nan Chen
- Department of Nephrology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingyuan Xie
- Department of Nephrology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Richard P Lifton
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Laboratory of Human Genetics and Genomics, The Rockefeller University, New York City, NY, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Eimear E Kenny
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Department of Genetics and Genomic Sciences, Mount Sinai Health System, New York City, NY, USA
- Center for Population Genomic Health, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Iuliana Ionita-Laza
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York City, NY, USA
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Bruce A Julian
- Departments of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jan Novak
- Departments of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Francesco Scolari
- Department of Medical and Surgical Specialties and Nephrology Unit, University of Brescia-ASST Spedali Civili, Brescia, Italy
| | - Hong Zhang
- Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China
| | - Ali G Gharavi
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA.
- Institute for Genomic Medicine, Columbia University, New York City, NY, USA.
| |
Collapse
|
23
|
Schlosser P, Scherer N, Grundner-Culemann F, Monteiro-Martins S, Haug S, Steinbrenner I, Uluvar B, Wuttke M, Cheng Y, Ekici AB, Gyimesi G, Karoly ED, Kotsis F, Mielke J, Gomez MF, Yu B, Grams ME, Coresh J, Boerwinkle E, Köttgen M, Kronenberg F, Meiselbach H, Mohney RP, Akilesh S, Schmidts M, Hediger MA, Schultheiss UT, Eckardt KU, Oefner PJ, Sekula P, Li Y, Köttgen A. Genetic studies of paired metabolomes reveal enzymatic and transport processes at the interface of plasma and urine. Nat Genet 2023:10.1038/s41588-023-01409-8. [PMID: 37277652 DOI: 10.1038/s41588-023-01409-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 04/26/2023] [Indexed: 06/07/2023]
Abstract
The kidneys operate at the interface of plasma and urine by clearing molecular waste products while retaining valuable solutes. Genetic studies of paired plasma and urine metabolomes may identify underlying processes. We conducted genome-wide studies of 1,916 plasma and urine metabolites and detected 1,299 significant associations. Associations with 40% of implicated metabolites would have been missed by studying plasma alone. We detected urine-specific findings that provide information about metabolite reabsorption in the kidney, such as aquaporin (AQP)-7-mediated glycerol transport, and different metabolomic footprints of kidney-expressed proteins in plasma and urine that are consistent with their localization and function, including the transporters NaDC3 (SLC13A3) and ASBT (SLC10A2). Shared genetic determinants of 7,073 metabolite-disease combinations represent a resource to better understand metabolic diseases and revealed connections of dipeptidase 1 with circulating digestive enzymes and with hypertension. Extending genetic studies of the metabolome beyond plasma yields unique insights into processes at the interface of body compartments.
Collapse
Affiliation(s)
- Pascal Schlosser
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Nora Scherer
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, Germany
| | - Franziska Grundner-Culemann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Sara Monteiro-Martins
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Stefan Haug
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Inga Steinbrenner
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Burulça Uluvar
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Yurong Cheng
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Arif B Ekici
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Gergely Gyimesi
- Membrane Transport Discovery Lab, Department of Nephrology and Hypertension and Department of Biomedical Research, University of Bern, Bern, Switzerland
| | | | - Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Johanna Mielke
- Research and Early Development, Pharmaceuticals Division, Bayer AG, Wuppertal, Germany
| | - Maria F Gomez
- Department of Clinical Sciences in Malmö, Lund University Diabetes Centre, Lund University, Lund, Sweden
| | - Bing Yu
- Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Morgan E Grams
- New York University Grossman School of Medicine, New York, NY, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Eric Boerwinkle
- Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Michael Köttgen
- Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Centre for Integrative Biological Signalling Studies (CIBSS), Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | | | - Shreeram Akilesh
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Miriam Schmidts
- Centre for Integrative Biological Signalling Studies (CIBSS), Albert-Ludwigs-University Freiburg, Freiburg, Germany
- Freiburg University Faculty of Medicine, Center for Pediatrics and Adolescent Medicine, University Hospital Freiburg, Freiburg, Germany
| | - Matthias A Hediger
- Membrane Transport Discovery Lab, Department of Nephrology and Hypertension and Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Peter J Oefner
- Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | - Peggy Sekula
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Yong Li
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Centre for Integrative Biological Signalling Studies (CIBSS), Albert-Ludwigs-University Freiburg, Freiburg, Germany.
| |
Collapse
|
24
|
Brinks R, Wruck CJ, Schmitz J, Schupp N. Nrf2 Activation Does Not Protect from Aldosterone-Induced Kidney Damage in Mice. Antioxidants (Basel) 2023; 12:antiox12030777. [PMID: 36979025 PMCID: PMC10044832 DOI: 10.3390/antiox12030777] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/10/2023] [Accepted: 03/21/2023] [Indexed: 03/30/2023] Open
Abstract
Nuclear factor erythroid 2-related factor 2 (Nrf2) is downregulated in chronic kidney disease (CKD). Activation of Nrf2 might be a therapeutic option in CKD. Here we investigate the effect of Nrf2 activation on aldosterone (Aldo)-induced renal injury. Wild-type (WT) mice, transgenic Keap1 hypomorphic (Nrf2ꜛ, genotype results in upregulation of Nrf2 expression) mice and WT mice treated with the Nrf2 activator sulforaphane (Sulf) received Aldo for 4 weeks. In Aldo-treated mice, kidneys were significantly heavier and pathologically altered, reflected by increased urinary albumin levels and tissue damage. In Nrf2ꜛ-Aldo mice the tubule damage marker NGAL was significantly decreased. Increased oxidative damage markers (8-OHdG, 15-isoprostane F2t) were measured in all Aldo-treated groups. Aldo-increased Nrf2 amounts were mainly found in the late tubule system. The amount of phosphorylated and thus putatively active Nrf2 was significantly increased by Aldo only in WT mice. However, expression of Nrf2 target genes NQO1 and HO1 was decreased in all Aldo-infused mice. GSK3β, which promotes Nrf2 degradation, was significantly increased in the kidneys of Aldo-treated WT mice. Neither genetic nor pharmacological Nrf2 activation was able to prevent oxidative injury induced by Aldo, probably due to induction of negative regulators of Nrf2.
Collapse
Affiliation(s)
- Ronja Brinks
- Institute of Toxicology, Medical Faculty, University of Düsseldorf, 40225 Düsseldorf, Germany
| | - Christoph Jan Wruck
- Department of Anatomy and Cell Biology, Uniklinik RWTH Aachen, 52074 Aachen, Germany
| | - Jutta Schmitz
- Institute of Toxicology, Medical Faculty, University of Düsseldorf, 40225 Düsseldorf, Germany
| | - Nicole Schupp
- Institute of Toxicology, Medical Faculty, University of Düsseldorf, 40225 Düsseldorf, Germany
| |
Collapse
|
25
|
Schachtl-Riess JF, Schönherr S, Lamina C, Forer L, Coassin S, Streiter G, Kheirkhah A, Li Y, Meiselbach H, Di Maio S, Eckardt KU, Köttgen A, Kronenberg F. KLKB1 and CLSTN2 are associated with HDL-mediated cholesterol efflux capacity in a genome-wide association study. Atherosclerosis 2023; 368:1-11. [PMID: 36812656 DOI: 10.1016/j.atherosclerosis.2023.01.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 01/06/2023] [Accepted: 01/26/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND AIMS HDL-mediated cholesterol efflux capacity (CEC) may protect from cardiovascular disease. Thus, we aimed to identify its genetic and non-genetic determinants. METHODS We measured CEC to 2% apolipoprotein B-depleted serum using BODIPY-cholesterol and cAMP-stimulated J774A.1 macrophages using serum samples from 4,981 participants in the German Chronic Kidney Disease (GCKD) study. Variance of CEC explained by clinical and biochemical parameters in a multivariable linear regression model was calculated by proportional marginal variance decomposition. A genome-wide association study with 7,746,917 variants was performed based on an additive genetic model. The main model was adjusted for age, sex and principal components 1-10. Further models were selected for sensitivity analysis and to reduce residual variance by known CEC pathways. RESULTS Variables that explained 1% and more of the variance of CEC were concentrations of triglycerides (12.9%), HDL-cholesterol (11.8%), LDL-cholesterol (3.0%), apolipoprotein A-IV (2.8%), PCSK9 (1.0%), and eGFR (1.0%). The KLKB1 (chr4) and APOE/C1 (chr19) loci were genome-wide significantly (p < 5x10-8) associated with CEC in our main model (p = 8.8x10-10 and p = 3.3x10-10, respectively). KLKB1 remained significantly associated after additional adjustment for either kidney parameters, HDL-cholesterol, triglycerides or apolipoprotein A-IV concentrations, while the APOE/C1 locus was not significantly associated anymore after adjustment for triglycerides. Adjustment for triglycerides also revealed an association with the CLSTN2 locus (chr3; p = 6.0x10-9). CONCLUSIONS We identified HDL-cholesterol and triglycerides as the main determinants of CEC. Furthermore, we newly found a significant association of CEC with the KLKB1 and the CLSTN2 locus and confirmed the association with the APOE/C1 locus, likely mediated by triglycerides.
Collapse
Affiliation(s)
- Johanna F Schachtl-Riess
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Claudia Lamina
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Stefan Coassin
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Gertraud Streiter
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Azin Kheirkhah
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Yong Li
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Silvia Di Maio
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany; Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria.
| |
Collapse
|
26
|
Chronic kidney disease is more prevalent among women but more men than women are under nephrological care : Analysis from six outpatient clinics in Austria 2019. Wien Klin Wochenschr 2023; 135:89-96. [PMID: 36044092 PMCID: PMC9938018 DOI: 10.1007/s00508-022-02074-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 07/24/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND A discrepancy between sex-specific treatment of kidney failure by dialysis (higher in men) and the prevalence of chronic kidney disease in the general population (higher in women) has been reported internationally, but the prevalence by sex has not been described for Austria. Sex disparity among nephrology outpatients has not been studied. METHODS We employed two formulae (2009 CKD-EPI suppressing the race factor, and race-free 2021 CKD-EPI) to estimate the sex distribution of CKD in Austrian primary care, based on creatinine measurements recorded in a medical sample of 39,800 patients from general practitioners' offices (1989-2008). Further, we collected information from all clinic appointments scheduled at nephrology departments of 6 Austrian hospitals (Wien, Linz, Wels, St. Pölten, Villach, Innsbruck) during 2019 and calculated visit frequencies by sex. RESULTS Using the 2009 CKD-EPI formula, the prevalence of CKD in stages G3-G5 (estimated glomerular filtration rate < 60 mL/min/1.73 m2) was 16.4% among women and 8.5% among men aged > 18 years who had attended general practitioners' offices in Austria between 1989 and 2008 and had at least one creatinine measurement performed. Using the 2021 CKD-EPI formula, the respective CKD prevalence was 12.3% among women and 6.1% among men. In 2019, 45% of all outpatients at 6 participating nephrology departments were women. The median of nephrology clinic visits in 2019 was two (per year) for both sexes. CONCLUSION CKD is more prevalent among Austrian women than men. Men are more prevalent in nephrology outpatient services. Research into causes of this sex disparity is urgently needed.
Collapse
|
27
|
Bächle H, Sekula P, Schlosser P, Steinbrenner I, Cheng Y, Kotsis F, Meiselbach H, Stockmann H, Schönherr S, Eckardt KU, Devuyst O, Scherberich J, Köttgen A, Schultheiss UT. Uromodulin and its association with urinary metabolites: the German Chronic Kidney Disease Study. Nephrol Dial Transplant 2023; 38:70-79. [PMID: 35612992 DOI: 10.1093/ndt/gfac187] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND The progression of chronic kidney disease (CKD), a global public health burden, is accompanied by a declining number of functional nephrons. Estimation of remaining nephron mass may improve assessment of CKD progression. Uromodulin has been suggested as a marker of tubular mass. We aimed to identify metabolites associated with uromodulin concentrations in urine and serum to characterize pathophysiologic alterations of metabolic pathways to generate new hypotheses regarding CKD pathophysiology. METHODS We measured urinary and serum uromodulin levels (uUMOD, sUMOD) and 607 urinary metabolites and performed cross-sectional analyses within the German Chronic Kidney Disease study (N = 4628), a prospective observational study. Urinary metabolites significantly associated with uUMOD and sUMOD were used to build weighted metabolite scores for urine (uMS) and serum uromodulin (sMS) and evaluated for time to adverse kidney events over 6.5 years. RESULTS Metabolites cross-sectionally associated with uromodulin included amino acids of the tryptophan metabolism, lipids and nucleotides. Higher levels of the sMS [hazard ratio (HR) = 0.73 (95% confidence interval 0.64; 0.82), P = 7.45e-07] and sUMOD [HR = 0.74 (95% confidence interval 0.63; 0.87), P = 2.32e-04] were associated with a lower risk of adverse kidney events over time, whereas uUMOD and uMS showed the same direction of association but were not significant. CONCLUSIONS We identified urinary metabolites associated with urinary and serum uromodulin. The sUMOD and the sMS were associated with lower risk of adverse kidney events among CKD patients. Higher levels of sUMOD and sMS may reflect a higher number of functional nephrons and therefore a reduced risk of adverse kidney outcomes.
Collapse
Affiliation(s)
- Helena Bächle
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Peggy Sekula
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Pascal Schlosser
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Inga Steinbrenner
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Yurong Cheng
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.,Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Helena Stockmann
- Department of Nephrology and Medical Intensive Care, Charité, University-Medicine, Berlin, Germany
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.,Department of Nephrology and Medical Intensive Care, Charité, University-Medicine, Berlin, Germany
| | - Olivier Devuyst
- Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Jürgen Scherberich
- Klinikum München-Harlaching, Nephrology & Clinical Immunology, Teaching Hospital of the Ludwig-Maximilians-University München, Munich, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.,Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | | |
Collapse
|
28
|
Kadowaki T, Maegawa H, Watada H, Yabe D, Node K, Murohara T, Wada J. Interconnection between cardiovascular, renal and metabolic disorders: A narrative review with a focus on Japan. Diabetes Obes Metab 2022; 24:2283-2296. [PMID: 35929483 PMCID: PMC9804928 DOI: 10.1111/dom.14829] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 07/18/2022] [Accepted: 08/01/2022] [Indexed: 01/07/2023]
Abstract
Insights from epidemiological, clinical and basic research are illuminating the interplay between metabolic disorders, cardiovascular disease (CVD) and kidney dysfunction, termed cardio-renal-metabolic (CRM) disease. Broadly defined, CRM disease involves multidirectional interactions between metabolic diseases such as type 2 diabetes (T2D), various types of CVD and chronic kidney disease (CKD). T2D confers increased risk for heart failure, which-although well known-has only recently come into focus for treatment, and may differ by ethnicity, whereas atherosclerotic heart disease is a well-established complication of T2D. Many people with T2D also have CKD, with a higher risk in Asians than their Western counterparts. Furthermore, CVD increases the risk of CKD and vice versa, with heart failure, notably, present in approximately half of CKD patients. Molecular mechanisms involved in CRM disease include hyperglycaemia, insulin resistance, hyperactivity of the renin-angiotensin-aldosterone system, production of advanced glycation end-products, oxidative stress, lipotoxicity, endoplasmic reticulum stress, calcium-handling abnormalities, mitochondrial malfunction and deficient energy production, and chronic inflammation. Pathophysiological manifestations of these processes include diabetic cardiomyopathy, vascular endothelial dysfunction, cardiac and renal fibrosis, glomerular hyperfiltration, renal hypoperfusion and venous congestion, reduced exercise tolerance leading to metabolic dysfunction, and calcification of atherosclerotic plaque. Importantly, recognition of the interaction between CRM diseases would enable a more holistic approach to CRM care, rather than isolated treatment of individual conditions, which may improve patient outcomes. Finally, aspects of CRM diseases may differ between Western and East Asian countries such as Japan, a super-ageing country, with potential differences in epidemiology, complications and prognosis that represent an important avenue for future research.
Collapse
Affiliation(s)
| | | | - Hirotaka Watada
- Department of Metabolism and EndocrinologyJuntendo UniversityTokyoJapan
| | - Daisuke Yabe
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical ImmunologyGifu University Graduate School of MedicineGifuJapan
- Yutaka Seino Distinguished Center for Diabetes ResearchKansai Electric Power Medical Research InstituteKyotoJapan
- Preemptive Food Research CenterGifu University Institute for Advanced StudyGifuJapan
- Center for Healthcare Information TechnologyTokai National Higher Education and Research SystemNagoyaJapan
| | - Koichi Node
- Department of Cardiovascular MedicineSaga UniversitySagaJapan
| | | | - Jun Wada
- Department of Nephrology, Rheumatology, Endocrinology and MetabolismOkayama UniversityOkayamaJapan
| |
Collapse
|
29
|
Prevalence of hereditary tubulointerstitial kidney diseases in the German Chronic Kidney Disease study. Eur J Hum Genet 2022; 30:1413-1422. [PMID: 36100708 PMCID: PMC9712573 DOI: 10.1038/s41431-022-01177-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 07/14/2022] [Accepted: 08/15/2022] [Indexed: 11/09/2022] Open
Abstract
Hereditary chronic kidney disease (CKD) appears to be more frequent than the clinical perception. Exome sequencing (ES) studies in CKD cohorts could identify pathogenic variants in ~10% of individuals. Tubulointerstitial kidney diseases, showing no typical clinical/histologic finding but tubulointerstitial fibrosis, are particularly difficult to diagnose. We used a targeted panel (29 genes) and MUC1-SNaPshot to sequence 271 DNAs, selected in defined disease entities and age cutoffs from 5217 individuals in the German Chronic Kidney Disease cohort. We identified 33 pathogenic variants. Of these 27 (81.8%) were in COL4A3/4/5, the largest group being 15 COL4A5 variants with nine unrelated individuals carrying c.1871G>A, p.(Gly624Asp). We found three cysteine variants in UMOD, a novel missense and a novel splice variant in HNF1B and the homoplastic MTTF variant m.616T>C. Copy-number analysis identified a heterozygous COL4A5 deletion, and a HNF1B duplication/deletion, respectively. Overall, pathogenic variants were present in 12.5% (34/271) and variants of unknown significance in 9.6% (26/271) of selected individuals. Bioinformatic predictions paired with gold standard diagnostics for MUC1 (SNaPshot) could not identify the typical cytosine duplication ("c.428dupC") in any individual, implying that ADTKD-MUC1 is rare. Our study shows that >10% of selected individuals carry disease-causing variants in genes partly associated with tubulointerstitial kidney diseases. COL4A3/4/5 genes constitute the largest fraction, implying they are regularly overlooked using clinical Alport syndrome criteria and displaying the existence of phenocopies. We identified variants easily missed by some ES pipelines. The clinical filtering criteria applied enriched for an underlying genetic disorder.
Collapse
|
30
|
Schneider MP, Schmid M, Nadal J, Wanner C, Krane V, Floege J, Saritas T, Busch M, Sitter T, Friedrich N, Stockmann H, Meiselbach H, Nauck M, Kronenberg F, Eckardt KU. Heart-Type Fatty Acid Binding Protein, Cardiovascular Outcomes, and Death: Findings From the German CKD Cohort Study. Am J Kidney Dis 2022; 80:483-494.e1. [PMID: 35288215 DOI: 10.1053/j.ajkd.2022.01.424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 01/05/2022] [Indexed: 02/02/2023]
Abstract
RATIONALE & OBJECTIVE Heart-type fatty acid binding protein (H-FABP) is a biomarker that has been shown to provide long-term prognostic information in patients with coronary artery disease independently of high-sensitivity troponin T (hs-TNT). We examined the independent associations of H-FABP with cardiovascular outcomes in patients with chronic kidney disease (CKD). STUDY DESIGN Prospective cohort study. SETTING & PARTICIPANTS 4,951 patients enrolled in the German Chronic Kidney Disease (GCKD) study with an estimated glomerular filtration rate of 30-60 mL/min/1.73 m2 or overt proteinuria (urinary albumin-creatinine ratio > 300 mg/g or equivalent). EXPOSURE Serum levels of H-FABP and hs-TNT were measured at study entry. OUTCOME Noncardiovascular (non-CV) death, CV death, combined major adverse CV events (MACE), and hospitalization for congestive heart failure (CHF). ANALYTICAL APPROACH Hazard ratios (HRs) for associations of H-FABP and hs-TNT with outcomes were estimated using Cox regression analyses adjusted for established risk factors. RESULTS During a maximum follow-up of 6.5 years, 579 non-CV deaths, 190 CV deaths, 522 MACE, and 381 CHF hospitalizations were observed. In Cox regression analyses adjusted for established risk factors, H-FABP was associated with all 4 outcomes, albeit with lower HRs than those found for hs-TNT. After further adjustment for hs-TNT levels, H-FABP was found to be associated with non-CV death (HR, 1.57 [95% CI, 1.14-2.18]) and MACE (HR, 1.40 [95% CI, 1.02-1.92]) but with neither CV death (HR, 1.64 [95% CI, 0.90-2.99]) nor CHF hospitalizations (HR, 1.02 [95% CI, 0.70-1.49]). LIMITATIONS Single-point measurements of H-FABP and hs-TNT. Uncertain generalizability to non-European populations. CONCLUSIONS In this large cohort of patients with CKD, H-FABP was associated with non-CV death and MACE, even after adjustment for hs-TNT. Whether measurement of H-FABP improves cardiovascular disease risk prediction in these patients warrants further studies.
Collapse
Affiliation(s)
- Markus P Schneider
- Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
| | - Matthias Schmid
- Department of Medical Biometry, Informatics, and Epidemiology (IMBIE), University Hospital Bonn, Bonn, Germany
| | - Jennifer Nadal
- Department of Medical Biometry, Informatics, and Epidemiology (IMBIE), University Hospital Bonn, Bonn, Germany
| | - Christoph Wanner
- Department of Medicine 1, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany
| | - Vera Krane
- Department of Medicine 1, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany
| | - Jürgen Floege
- Department of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
| | - Turgay Saritas
- Department of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
| | - Martin Busch
- Department of Internal Medicine III, University Hospital Jena, Friedrich-Schiller Universität, Jena, Germany
| | - Thomas Sitter
- Department of Nephrology, University Hospital, Ludwig-Maximilians-Universität München, München, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Helena Stockmann
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany; Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | |
Collapse
|
31
|
Fadil F, Samol C, Berger RS, Kellermeier F, Gronwald W, Oefner PJ, Dettmer K. Isotope Ratio Outlier Analysis (IROA) for HPLC-TOFMS-Based Metabolomics of Human Urine. Metabolites 2022; 12:741. [PMID: 36005614 PMCID: PMC9414531 DOI: 10.3390/metabo12080741] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/04/2022] [Accepted: 08/10/2022] [Indexed: 11/16/2022] Open
Abstract
Metabolic fingerprinting by mass spectrometry aims at the comprehensive, semiquantitative analysis of metabolites. Isotope dilution, if successfully implemented, may provide a more reliable, relative quantification. Therefore, the 13C labeled yeast extract of the IROA TruQuant kit was added as an internal standard (IS) to human urine samples measured in full-scan mode on a high-performance liquid chromatography-time-of-flight mass spectrometer (HPLC-TOFMS) system. The isotope ratio approach enabled the analysis of 112 metabolites. The correlation with reference data did not improve significantly using 12C/13C ratios compared to absolute 12C peak areas. Moreover, using an intricate 13C-labeled standard increased the complexity of the mass spectra, which made correct signal annotation more challenging. On the positive side, the ratio approach helps to reduce batch effects, but it does not perform better than computational methods such as the "removebatcheffect" function in the R package Limma.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Katja Dettmer
- Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany
| |
Collapse
|
32
|
Prevalence, phenotypic characteristics and prognostic role of apparent treatment resistant hypertension in the German Chronic Kidney Disease (GCKD) study. J Hum Hypertens 2022; 37:345-353. [PMID: 35534618 DOI: 10.1038/s41371-022-00701-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 03/30/2022] [Accepted: 04/21/2022] [Indexed: 11/12/2022]
Abstract
Treatment resistant hypertension (TRH) appears of particular relevance in patients with chronic kidney disease (CKD). However, causes and consequences of TRH in CKD patients remain incompletely understood. Therefore, we analyzed the prevalence of apparent TRH (aTRH), and phenotypic characteristics and prognosis associated with aTRH among participants of the German Chronic Kidney Disease (GCKD) study. As insufficient medication adherence has been shown to be a frequent cause of pseudoresistance, we also assessed treatment adherence. Study participants were classified as having aTRH, controlled hypertension and uncontrolled hypertension based on study visit blood pressure and self-reported medication intake. Drug adherence was assessed by comparing self-reported antihypertensive medication with detectable urinary drug metabolites measured by mass spectroscopy. Out of 4901 individuals included in this study, 38% were classified as having aTRH. Male sex, older age, lower estimated glomerular filtration rate (eGFR), higher body mass index (BMI), higher urine albumin-to-creatinine ratio (UACR) and presence of diabetes mellitus were independently associated with higher prevalence of aTRH in a multivariable adjusted regression model. Patients classified as aTRH had higher risk for major adverse cardiovascular events and worsening of kidney disease compared to patients with no aTRH after multivariate adjustment for potential confounders. There was a high agreement between self-reported medication and detectable urinary drug metabolites. In conclusion, in a cohort of Caucasian patients with moderately severe CKD, aTRH was highly prevalent and, in most cases, likely not caused by low medication adherence. Furthermore, aTRH was linked to cardio-renal endpoints, emphasizing the need for improved management.
Collapse
|
33
|
Steinbrenner I, Sekula P, Kotsis F, von Cube M, Cheng Y, Nadal J, Schmid M, Schneider MP, Krane V, Nauck M, Eckardt KU, Schultheiss UT. Association of osteopontin with kidney function and kidney failure in chronic kidney disease patients: the GCKD study. Nephrol Dial Transplant 2022; 38:1430-1438. [PMID: 35524694 DOI: 10.1093/ndt/gfac173] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Osteopontin (OPN), synthesized in the thick ascending limb of Henle's loop and in the distal tubule, is involved in the pathogenesis of kidney fibrosis, a hallmark of kidney failure (KF). In a cohort of chronic kidney disease (CKD) patients, we evaluated OPN's association with kidney markers and KF. METHODS OPN was measured from baseline serum samples of German Chronic Kidney Disease study participants. Cross-sectional regression models for estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (UACR) as well as Cox regression models for all-cause mortality and KF were evaluated to estimate the OPN effect. Additionally, predictive ability, of OPN and time-dependent population-attributable fraction were evaluated. RESULTS Over a median follow-up of 6.5 years, 471 KF events and 629 deaths occurred among 4,950 CKD patients. One-unit higher log(OPN) was associated with 5.5 mL/min/1.73m2 lower eGFR (95%CI: [-6.4,-4.6]) and 1% change in OPN with 0.7% higher UACR (estimated effect 0.7, 95%CI: [0.6,0.8]). Moreover, higher OPN levels were associated with a higher risk of KF (hazard ratio [HR] 1.4, 95%CI: [1.2,1.7]) and all-cause mortality (HR 1.5, 95%CI: [1.3,1.8]). After 6 years, 31% of the KF events could be attributed to higher OPN levels (95%CI: [3%,56%]). CONCLUSIONS In this study, higher OPN levels were associated with kidney function markers worsening, and a higher risk for adverse outcomes. A larger proportion of KF could be attributed to higher OPN levels warranting further research on OPN with regards to its role in CKD progression and possible treatment options.
Collapse
Affiliation(s)
- Inga Steinbrenner
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Peggy Sekula
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV - Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Maja von Cube
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Yurong Cheng
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Jennifer Nadal
- Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Matthias Schmid
- Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany
- Department of Nephrology and Medical Intensive Care, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Markus P Schneider
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Vera Krane
- Department of Internal Medicine I, Division of Nephrology, University Hospital Würzburg, Würzburg, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV - Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | | |
Collapse
|
34
|
Schwaiger JP, Kollerits B, Steinbrenner I, Weissensteiner H, Schönherr S, Forer L, Kotsis F, Lamina C, Schneider MP, Schultheiss UT, Wanner C, Köttgen A, Eckardt KU, Kronenberg F. Apolipoprotein A-IV concentrations and clinical outcomes in a large chronic kidney disease cohort: Results from the GCKD study. J Intern Med 2022; 291:622-636. [PMID: 34914850 PMCID: PMC9305919 DOI: 10.1111/joim.13437] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Chronic kidney disease (CKD) represents a chronic proinflammatory state and is associated with very high cardiovascular risk. Apolipoprotein A-IV (apoA-IV) has antiatherogenic, antioxidative, anti-inflammatory and antithrombotic properties and levels increase significantly during the course of CKD. OBJECTIVES We aimed to investigate the association between apoA-IV and all-cause mortality and cardiovascular outcomes in the German Chronic Kidney Disease study. METHODS This was a prospective cohort study including 5141 Caucasian patients with available apoA-IV measurements and CKD. The majority of the patients had an estimated glomerular filtration rate (eGFR) of 30-60 ml/min/1.73m2 or an eGFR >60 ml/min/1.73m2 in the presence of overt proteinuria. Median follow-up was 6.5 years. The association of apoA-IV with comorbidities at baseline and endpoints during follow-up was modelled adjusting for major confounders. RESULTS Mean apoA-IV concentrations of the entire cohort were 28.9 ± 9.8 mg/dl. Patients in the highest apoA-IV quartile had the lowest high-sensitivity C-reactive protein values despite the highest prevalence of diabetes, albuminuria and the lowest eGFR. Each 10 mg/dl higher apoA-IV translated into lower odds of prevalent cardiovascular disease (1289 cases, odds ratio = 0.80, 95% confidence interval [CI] 0.72-0.86, p = 0.0000003). During follow-up, each 10 mg/dl higher apoA-IV was significantly associated with a lower risk for all-cause mortality (600 cases, hazard ratio [HR] = 0.81, 95% CI 0.73-0.89, p = 0.00004), incident major adverse cardiovascular events (506 cases, HR = 0.88, 95% CI 0.79-0.99, p = 0.03) and death or hospitalizations due to heart failure (346 cases, HR = 0.84, 95% CI 0.73-0.96, p = 0.01). CONCLUSIONS These data support a link between elevated apoA-IV concentrations and reduced inflammation in moderate CKD. ApoA-IV appears to be an independent risk marker for reduced all-cause mortality, cardiovascular events and heart failure in a large cohort of patients with CKD.
Collapse
Affiliation(s)
- Johannes P Schwaiger
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.,Department of Internal Medicine, Landeskrankenhaus Hall i.T., Hall in Tirol, Austria
| | - Barbara Kollerits
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Inga Steinbrenner
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Hansi Weissensteiner
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.,Department of Medicine IV - Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Claudia Lamina
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Markus P Schneider
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.,Department of Medicine IV - Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Christoph Wanner
- Division of Nephrology, Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.,Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | -
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| |
Collapse
|
35
|
Grüneis R, Lamina C, Di Maio S, Schönherr S, Zoescher P, Forer L, Streiter G, Peters A, Gieger C, Köttgen A, Kronenberg F, Coassin S. The effect of LPA Thr3888Pro on lipoprotein(a) and coronary artery disease is modified by the LPA KIV-2 variant 4925G>A. Atherosclerosis 2022; 349:151-159. [PMID: 35534298 PMCID: PMC7613586 DOI: 10.1016/j.atherosclerosis.2022.04.023] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/06/2022] [Accepted: 04/20/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS High lipoprotein(a) [Lp(a)] concentrations are associated with increased coronary artery disease (CAD) risk. Lp(a) is regulated mainly genetically by the LPA gene but involved genetic variants have not been fully elucidated. Improved understanding of the entanglements of genetic Lp(a) regulation may enhance genetic prediction of Lp(a) and CAD risk. We investigated an interaction between the well-known LPA missense SNP rs41272110 (known as Thr3888Pro) and the frequent LPA splicing mutation KIV-2 4925G>A. METHODS Effects on Lp(a) concentrations were investigated by multiple quantile regression in the German Chronic Kidney Disease (GCKD) study, KORA-F3 and KORA-F4 (ntotal = 10,405) as well as in the UK Biobank (UKB) 200k exome dataset (n = 173,878). The impact of the interaction on CAD risk was assessed by survival analysis in UKB. RESULTS We observed a significant SNP-SNP interaction in all studies (p = 1.26e-05 to 3.03e-04). In quantile regression analysis, rs41272110 as a predictor shows no impact on Lp(a) (β = -0.06 [-0.79; 0.68], p = 0.879), but in a joint model including both SNPs as predictors, rs41272110 is associated with markedly higher Lp(a) (β = +9.40 mg/dL [6.45; 12.34], p = 4.07e-10). Similarly, rs41272110 shows no effect on CAD in UKB (HR = 1.01 [0.97; 1.04], p = 0.731), while rs41272110 carriers not carrying 4925G>A show an increased CAD risk (HR = 1.10 [1.04; 1.16], p = 6.9e-04). This group corresponds to 4% of the population. Adjustment for apolipoprotein(a) isoforms further modified the effect estimates markedly. CONCLUSIONS This work emphasizes the complexity of the genetic regulation of Lp(a) and the importance to account for genetic subgroups in Lp(a) association studies and when interpreting genetic cardiovascular risk profiles.
Collapse
Affiliation(s)
- Rebecca Grüneis
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria
| | - Claudia Lamina
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria
| | - Silvia Di Maio
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria
| | - Peter Zoescher
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria
| | - Gertraud Streiter
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria
| | - 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
| | - Christian Gieger
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany and German Chronic Kidney Disease Study, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria
| | - Stefan Coassin
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Austria.
| |
Collapse
|
36
|
de Haan A, Eijgelsheim M, Vogt L, van der Zwaag B, van Eerde AM, Knoers NVAM, de Borst MH. Diagnostic yield of massively parallel sequencing in patients with chronic kidney disease of unknown etiology: rationale and design of a national prospective cohort study. BMJ Open 2022; 12:e057829. [PMID: 35393322 PMCID: PMC8991067 DOI: 10.1136/bmjopen-2021-057829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Chronic kidney disease (CKD) can be caused by a variety of systemic or primary renal diseases. The cause of CKD remains unexplained in approximately 20% of patients. Retrospective studies indicate that massively parallel sequencing (MPS)-based gene panel testing may lead to a genetic diagnosis in 12%-56% of patients with unexplained CKD, depending on patient profile. The diagnostic yield of MPS-based testing in a routine healthcare setting is unclear. Therefore, the primary aim of the VARIETY (Validation of algoRithms and IdEnTification of genes in Young patients with unexplained CKD) study is to prospectively address the diagnostic yield of MPS-based gene panel testing in patients with unexplained CKD and an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 before the age of 50 years in clinical practice. METHODS AND ANALYSIS The VARIETY study is an ongoing, prospective, nationwide observational cohort study to investigate the diagnostic yield of MPS-based testing in patients with unexplained CKD in a routine healthcare setting in the Netherlands. Patients are recruited from outpatient clinics in hospitals across the Netherlands. At least 282 patients will be included to meet the primary aim. Secondary analyses include subgroup analyses according to age and eGFR at first presentation, family history, and the presence of extrarenal symptoms. ETHICS AND DISSEMINATION Ethical approval for the study has been obtained from the institutional review board of the University Medical Center Groningen. Study findings should inform physicians and policymakers towards optimal implementation of MPS-based diagnostic testing in patients with unexplained CKD.
Collapse
Affiliation(s)
- Amber de Haan
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Mark Eijgelsheim
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Liffert Vogt
- Department of Internal Medicine, Section Nephrology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Bert van der Zwaag
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Albertien M van Eerde
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Nine V A M Knoers
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Martin H de Borst
- Department of Internal Medicine, Division of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| |
Collapse
|
37
|
Kheirkhah A, Lamina C, Kollerits B, Schachtl-Riess J, Schultheiss U, Forer L, Sekula P, Kotsis F, Eckardt KU, Kronenberg F. PCSK9 and Cardiovascular Disease in Individuals with Moderately Decreased Kidney Function. Clin J Am Soc Nephrol 2022; 17:809-818. [PMID: 35387881 PMCID: PMC9269648 DOI: 10.2215/cjn.01230122] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 04/01/2022] [Indexed: 11/23/2022]
Abstract
Background and objectives: Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a key regulator of lipid homeostasis. Studies investigating the association between PCSK9 and cardiovascular disease in large cohorts of CKD patients are limited. Design, setting, participants, and measurements: The association of PCSK9 concentrations with prevalent and incident cardiovascular disease was investigated in 5,138 Caucasians of the German Chronic Kidney Disease study with a median follow-up of 6.5 years. Inclusion criteria were eGFR of 30-60 mL/min/1.73 m2 or an eGFR>60 mL/min/1.73m2 in the presence of overt proteinuria (urine albumin-creatinine ratio >300mg/g or equivalent). Prevalent cardiovascular disease was defined as history of non-fatal myocardial infarction, coronary artery bypass grafting, percutaneous transluminal coronary angioplasty, carotid arteries interventions and stroke. Incident major adverse cardiovascular disease events included death from cardiovascular causes, acute non-fatal myocardial infarction and non-fatal stroke. Results: Median PCSK9 concentration in the cohort was 285 ng/mL (interquartile range 231-346 ng/mL). There was no association between PCSK9 concentrations and baseline eGFR and albuminuria. With each 100 ng/ml increment of PCSK9, the odds for prevalent cardiovascular disease (n=1,284) was 1.22-fold (95%CI 1.12-1.34, p<0.001) higher in a model with extended adjustment for major confounders. This association was stronger in non-statin than statin-users (p-value for interaction=0.009). During follow-up 474 individuals experienced a major adverse cardiovascular disease event and participants in PCSK9 quartiles 2 to 4 had a 32%-47% higher risk compared to quartile 1 (p<0.05). Subgroup analysis revealed this association was restricted to those participants who already had cardiovascular disease at baseline (all HR>1.75, p<0.05). In addition, PCSK9 showed a valuable gain in classification accuracy both for prevalent cardiovascular disease (NRI=0.27, 95%CI:0.20-0.33) and incident major adverse cardiovascular disease events during follow-up (NRI=0.10, 95%CI:0.008-0.21) when added to an extended adjustment model. Conclusions: Our findings reveal no relation of PCSK9 with baseline eGFR and albuminuria, but a significant association between higher PCSK9 concentrations and risk of cardiovascular disease independent of traditional risk factors including LDL-cholesterol levels.
Collapse
Affiliation(s)
- Azin Kheirkhah
- A Kheirkhah, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Claudia Lamina
- C Lamina, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Barbara Kollerits
- B Kollerits, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Johanna Schachtl-Riess
- J Schachtl-Riess, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ulla Schultheiss
- U Schultheiss, Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Lukas Forer
- L Forer, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Peggy Sekula
- P Sekula, Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Fruzsina Kotsis
- F Kotsis, Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Kai-Uwe Eckardt
- K Eckardt, University Hospital Erlangen, Department of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Florian Kronenberg
- F Kronenberg, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| |
Collapse
|
38
|
Cheng Y, Li Y, Scherer N, Grundner-Culemann F, Lehtimäki T, Mishra BH, Raitakari OT, Nauck M, Eckardt KU, Sekula P, Schultheiss UT. Genetics of osteopontin in patients with chronic kidney disease: The German Chronic Kidney Disease study. PLoS Genet 2022; 18:e1010139. [PMID: 35385482 PMCID: PMC9015153 DOI: 10.1371/journal.pgen.1010139] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 04/18/2022] [Accepted: 03/09/2022] [Indexed: 11/18/2022] Open
Abstract
Osteopontin (OPN), encoded by SPP1, is a phosphorylated glycoprotein predominantly synthesized in kidney tissue. Increased OPN mRNA and protein expression correlates with proteinuria, reduced creatinine clearance, and kidney fibrosis in animal models of kidney disease. But its genetic underpinnings are incompletely understood. We therefore conducted a genome-wide association study (GWAS) of OPN in a European chronic kidney disease (CKD) population. Using data from participants of the German Chronic Kidney Disease (GCKD) study (N = 4,897), a GWAS (minor allele frequency [MAF]≥1%) and aggregated variant testing (AVT, MAF<1%) of ELISA-quantified serum OPN, adjusted for age, sex, estimated glomerular filtration rate (eGFR), and urinary albumin-to-creatinine ratio (UACR) was conducted. In the project, GCKD participants had a mean age of 60 years (SD 12), median eGFR of 46 mL/min/1.73m2 (p25: 37, p75: 57) and median UACR of 50 mg/g (p25: 9, p75: 383). GWAS revealed 3 loci (p<5.0E-08), two of which replicated in the population-based Young Finns Study (YFS) cohort (p<1.67E-03): rs10011284, upstream of SPP1 encoding the OPN protein and related to OPN production, and rs4253311, mapping into KLKB1 encoding prekallikrein (PK), which is processed to kallikrein (KAL) implicated through the kinin-kallikrein system (KKS) in blood pressure control, inflammation, blood coagulation, cancer, and cardiovascular disease. The SPP1 gene was also identified by AVT (p = 2.5E-8), comprising 7 splice-site and missense variants. Among others, downstream analyses revealed colocalization of the OPN association signal at SPP1 with expression in pancreas tissue, and at KLKB1 with various plasma proteins in trans, and with phenotypes (bone disorder, deep venous thrombosis) in human tissue. In summary, this GWAS of OPN levels revealed two replicated associations. The KLKB1 locus connects the function of OPN with PK, suggestive of possible further post-translation processing of OPN. Further studies are needed to elucidate the complex role of OPN within human (patho)physiology.
Collapse
Affiliation(s)
- Yurong Cheng
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center—University of Freiburg, Freiburg, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Yong Li
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center—University of Freiburg, Freiburg, Germany
| | - Nora Scherer
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center—University of Freiburg, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg, Germany
| | - Franziska Grundner-Culemann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center—University of Freiburg, Freiburg, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Binisha H. Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku Finland
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité, University-Medicine, Berlin, Germany
| | - Peggy Sekula
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center—University of Freiburg, Freiburg, Germany
| | - Ulla T. Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center—University of Freiburg, Freiburg, Germany
- Department of Medicine IV, Nephrology and Primary Care, Faculty of Medicine and Medical Center—University of Freiburg, Freiburg, Germany
| | | |
Collapse
|
39
|
Choi M, Rübsam A, Schulz M, Decker E, Friedrich A, Schrezenmeier E, Halleck F, Eckardt KU, Bergmann C. Interstitial nephritis - A Change in Diagnosis with Next Generation Sequencing. Kidney Int Rep 2022; 7:1128-1130. [PMID: 35571004 PMCID: PMC9091579 DOI: 10.1016/j.ekir.2022.01.1061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/16/2022] [Accepted: 01/24/2022] [Indexed: 10/25/2022] Open
|
40
|
Winitzki D, Zacharias HU, Nadal J, Baid-Agrawal S, Schaeffner E, Schmid M, Busch M, Bergmann MM, Schultheiss U, Kotsis F, Stockmann H, Meiselbach H, Wolf G, Krane V, Sommerer C, Eckardt KU, Schneider MP, Schlieper G, Floege J, Saritas T. Educational Attainment Is Associated With Kidney and Cardiovascular Outcomes in CKD. Kidney Int Rep 2022; 7:1004-1015. [PMID: 35570994 PMCID: PMC9091575 DOI: 10.1016/j.ekir.2022.02.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 01/25/2022] [Accepted: 02/02/2022] [Indexed: 11/24/2022] Open
Abstract
Introduction Prospective data on impact of educational attainment on prognosis in patients with chronic kidney disease (CKD) are scarce. We investigated the association between educational attainment and all-cause mortality, major adverse cardiovascular (CV) events (MACEs), kidney failure requiring dialysis, and CKD etiology. Methods Participants (N = 5095, aged 18–74 years) of the ongoing multicenter German Chronic Kidney Disease (GCKD) cohort, enrolled on the basis of an estimated glomerular filtration rate (eGFR) of 30 to 60 ml/min (stages G3, A1–A3) or overt proteinuria (stages G1–G2, A3), were divided into 3 categories according to their educational attainment and were followed for 6.5 years. Results Participants with low educational attainment (vs. high) had a higher risk for mortality (hazard ratio [HR] 1.48, 95% CI: 1.16–1.90), MACE (HR 1.37, 95% CI: 1.02–1.83), and kidney failure (HR 1.54, 95% CI: 1.15–2.05). Mediators between low educational attainment and mortality were smoking, CV disease (CVD) at baseline, low income, higher body mass index, and higher serum levels of CRP, high-density lipoprotein cholesterol, uric acid, NGAL, BAP, NT-proBNP, OPN, H-FABP, and urea. Low educational attainment was positively associated with diabetic nephropathy (odds ratio [OR] 1.65, 95% CI: 1.36–2.0) and CKD subsequent to acute kidney injury (OR 1.56, 95% CI: 1.03–2.35), but negatively associated with IgA nephropathy (OR 0.68, 95% CI: 0.52–0.90). Conclusion Low educational attainment is associated with adverse outcomes and CKD etiology. Lifestyle habits and biomarkers mediate associations between low educational attainment and mortality. Recognition of the role of educational attainment and the associated health-relevant risk factors is important to optimize the care of patients with CKD and improve prognosis.
Collapse
|
41
|
Kumar V, Yadav AK, Sethi J, Ghosh A, Sahay M, Prasad N, Varughese S, Parameswaran S, Gopalakrishnan N, Kaur P, Modi GK, Kamboj K, Kundu M, Sood V, Inamdar N, Jaryal A, Vikrant S, Nayak S, Singh S, Gang S, Baid-Agrawal S, Jha V. The Indian Chronic Kidney Disease (ICKD) study: baseline characteristics. Clin Kidney J 2022; 15:60-69. [PMID: 35035937 PMCID: PMC8757418 DOI: 10.1093/ckj/sfab149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/10/2021] [Indexed: 11/12/2022] Open
Abstract
Background Chronic kidney disease (CKD) is an important cause of morbidity and mortality worldwide. There is a lack of information on epidemiology and progression of CKD in low–middle income countries. The Indian Chronic Kidney Disease (ICKD) study aims to identify factors that associate with CKD progression, and development of kidney failure and cardiovascular disease (CVD) in Indian patients with CKD. Methods ICKD study is prospective, multicentric cohort study enrolling patients with estimated glomerular filtration rate (eGFR) 15–60 mL/min/1.73 m2, or >60 mL/min/1.73 m2 with proteinuria. Clinical details and biological samples are collected at annual visits. We analysed the baseline characteristics including socio-demographic details, risk factors, disease characteristics and laboratory measurements. In addition, we compared characteristics between urban and rural participants. Results A total of 4056 patients have been enrolled up to 31 March 2020. The mean ± SD age was 50.3 ± 11.8 years, 67.2% were males, two-thirds of patients lived in rural areas and the median eGFR was 40 mL/min/1.73 m2. About 87% were hypertensive, 37% had diabetes, 22% had CVD, 6.7% had past history of acute kidney injury and 23% reported prior use of alternative drugs. Diabetic kidney disease, chronic interstitial nephritis (CIN) and CKD-cause unknown (CKDu) were the leading causes. Rural participants had more occupational exposure and tobacco use but lower educational status and income. CIN and unknown categories were leading causes in rural participants. Conclusions The ICKD study is the only large cohort study of patients with mild-to-moderate CKD in a lower middle income country. Baseline characteristics of study population reveal differences as compared with other cohorts from high-income countries.
Collapse
Affiliation(s)
- Vivek Kumar
- Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Ashok Kumar Yadav
- Department of Experimental Medicine and Biotechnology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Jasmine Sethi
- Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Arpita Ghosh
- George Institute for Global Health India, New Delhi, India
| | - Manisha Sahay
- Department of Nephrology, Osmania Medical College, Osmania General Hospital, Hyderabad, India
| | - Narayan Prasad
- Department of Nephrology, Sanjay Gandhi Postgraduate Institute of Medical Science, Lucknow, India
| | | | - Sreejith Parameswaran
- Department of Nephrology, Jawaharlal Institute of Postgraduate Medical Education & Research, Pondicherry, India
| | | | - Prabhjot Kaur
- Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Gopesh K Modi
- Samarpan Kidney Institute and Research Center, Bhopal, India
| | - Kajal Kamboj
- Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Monica Kundu
- George Institute for Global Health India, New Delhi, India
| | - Vivek Sood
- Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Neeraj Inamdar
- Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Ajay Jaryal
- Department of Nephrology, Indira Gandhi Medical College, Shimla, India
| | - Sanjay Vikrant
- Department of Nephrology, Indira Gandhi Medical College, Shimla, India
| | - Saurabh Nayak
- Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Shivendra Singh
- Department of Nephrology, Institute of Medical Science, Banaras Hindu University, Varanasi, India
| | - Sishir Gang
- Department of Nephrology, Muljibhai Patel Urological Hospital, Nadiad, India
| | - Seema Baid-Agrawal
- Department of Nephrology and Transplant Center, Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden
| | - Vivekanand Jha
- George Institute for Global Health India, New Delhi, India
| |
Collapse
|
42
|
Schlosser P, Tin A, Matias-Garcia PR, Thio CHL, Joehanes R, Liu H, Weihs A, Yu Z, Hoppmann A, Grundner-Culemann F, Min JL, Adeyemo AA, Agyemang C, Ärnlöv J, Aziz NA, Baccarelli A, Bochud M, Brenner H, Breteler MMB, Carmeli C, Chaker L, Chambers JC, Cole SA, Coresh J, Corre T, Correa A, Cox SR, de Klein N, Delgado GE, Domingo-Relloso A, Eckardt KU, Ekici AB, Endlich K, Evans KL, Floyd JS, Fornage M, Franke L, Fraszczyk E, Gao X, Gào X, Ghanbari M, Ghasemi S, Gieger C, Greenland P, Grove ML, Harris SE, Hemani G, Henneman P, Herder C, Horvath S, Hou L, Hurme MA, Hwang SJ, Jarvelin MR, Kardia SLR, Kasela S, Kleber ME, Koenig W, Kooner JS, Kramer H, Kronenberg F, Kühnel B, Lehtimäki T, Lind L, Liu D, Liu Y, Lloyd-Jones DM, Lohman K, Lorkowski S, Lu AT, Marioni RE, März W, McCartney DL, Meeks KAC, Milani L, Mishra PP, Nauck M, Navas-Acien A, Nowak C, Peters A, Prokisch H, Psaty BM, Raitakari OT, Ratliff SM, Reiner AP, Rosas SE, Schöttker B, Schwartz J, Sedaghat S, Smith JA, Sotoodehnia N, Stocker HR, Stringhini S, Sundström J, Swenson BR, Tellez-Plaza M, van Meurs JBJ, van Vliet-Ostaptchouk JV, Venema A, Verweij N, Walker RM, Wielscher M, Winkelmann J, Wolffenbuttel BHR, Zhao W, Zheng Y, Loh M, Snieder H, Levy D, Waldenberger M, Susztak K, Köttgen A, Teumer A. Meta-analyses identify DNA methylation associated with kidney function and damage. Nat Commun 2021; 12:7174. [PMID: 34887417 PMCID: PMC8660832 DOI: 10.1038/s41467-021-27234-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 11/08/2021] [Indexed: 12/27/2022] Open
Abstract
Chronic kidney disease is a major public health burden. Elevated urinary albumin-to-creatinine ratio is a measure of kidney damage, and used to diagnose and stage chronic kidney disease. To extend the knowledge on regulatory mechanisms related to kidney function and disease, we conducted a blood-based epigenome-wide association study for estimated glomerular filtration rate (n = 33,605) and urinary albumin-to-creatinine ratio (n = 15,068) and detected 69 and seven CpG sites where DNA methylation was associated with the respective trait. The majority of these findings showed directionally consistent associations with the respective clinical outcomes chronic kidney disease and moderately increased albuminuria. Associations of DNA methylation with kidney function, such as CpGs at JAZF1, PELI1 and CHD2 were validated in kidney tissue. Methylation at PHRF1, LDB2, CSRNP1 and IRF5 indicated causal effects on kidney function. Enrichment analyses revealed pathways related to hemostasis and blood cell migration for estimated glomerular filtration rate, and immune cell activation and response for urinary albumin-to-creatinineratio-associated CpGs.
Collapse
Affiliation(s)
- Pascal Schlosser
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Pamela R Matias-Garcia
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Chris H L Thio
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Roby Joehanes
- Framingham Heart Study, Framingham, Massachusetts, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, US
| | - Hongbo Liu
- Department of Medicine and Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Antoine Weihs
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Zhi Yu
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Anselm Hoppmann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Franziska Grundner-Culemann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Josine L Min
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles Agyemang
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
- School of Health and Social Studies, Dalarna University, Falun, Sweden
| | - Nasir A Aziz
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Andrea Baccarelli
- Laboratory of Environmental Precision Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Murielle Bochud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Hermann Brenner
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Monique M B Breteler
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Cristian Carmeli
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
- Population Health Laboratory, University of Fribourg, Fribourg, Switzerland
| | - Layal Chaker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - John C Chambers
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Southall, UK
- Imperial College Healthcare NHS Trust, London, UK
| | | | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tanguy Corre
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Simon R Cox
- Lothian Birth Cohorts Group, Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Niek de Klein
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
| | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arce Domingo-Relloso
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
- Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Arif B Ekici
- Institute of Human Genetics, Friedrich-Alexander-UniversitätErlangen-Nürnberg, 91054, Erlangen, Germany
| | - Karlhans Endlich
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - James S Floyd
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, Houston, TX, 77030, USA
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Eliza Fraszczyk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Xu Gao
- Laboratory of Environmental Precision Health, Mailman School of Public Health, Columbia University, New York, NY, USA
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xīn Gào
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Sahar Ghasemi
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Megan L Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Sarah E Harris
- Lothian Birth Cohorts Group, Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Peter Henneman
- Department of Clinical Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA
- Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, CA, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Shih-Jen Hwang
- Framingham Heart Study, Framingham, Massachusetts, USA
- Division of Intramural Research, Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Silva Kasela
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Southall, UK
- Imperial College Healthcare NHS Trust, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Holly Kramer
- Departments of Public Health Science and Medicine, Loyola University Chicago, Maywood, IL, USA
- Edward Hines VA Medical Center, Hines, IL, USA
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Brigitte Kühnel
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Dan Liu
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kurt Lohman
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Stefan Lorkowski
- Institute of Nutritional Sciences, Friedrich Schiller University Jena, Jena, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Jena, Germany
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Jena, Germany
- Synlab Academy, SYNLAB Holding Deutschland GmbH, Mannheim and Augsburg, Augsburg, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Karlijn A C Meeks
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Matthias Nauck
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Ludwig-Maximilians Universität München, Munich, Germany
| | - Holger Prokisch
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Computational Health, Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Bruce M Psaty
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
- Department of Health Services, University of Washington, Seattle, WA, 98101, USA
| | - Olli T Raitakari
- Research centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
| | - Sylvia E Rosas
- Joslin Diabetes Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ben Schöttker
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sanaz Sedaghat
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48104, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
| | - Hannah R Stocker
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Silvia Stringhini
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Brenton R Swenson
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA
| | - Maria Tellez-Plaza
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jana V van Vliet-Ostaptchouk
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Andrea Venema
- Department of Clinical Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
| | - Juliane Winkelmann
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
- Chair Neurogenetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Bruce H R Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Daniel Levy
- Framingham Heart Study, Framingham, Massachusetts, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, US
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany
| | - Katalin Susztak
- Department of Medicine and Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alexander Teumer
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany.
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland.
| |
Collapse
|
43
|
Pammer LM, Lamina C, Schultheiss UT, Kotsis F, Kollerits B, Stockmann H, Lipovsek J, Meiselbach H, Busch M, Eckardt KU, Kronenberg F. Association of the metabolic syndrome with mortality and major adverse cardiac events: A large chronic kidney disease cohort. J Intern Med 2021; 290:1219-1232. [PMID: 34342064 DOI: 10.1111/joim.13355] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Metabolic syndrome with its key components insulin resistance, central obesity, dyslipidaemia, and hypertension is associated with a high risk for cardiovascular events and all-cause mortality in the general population. However, evidence that these findings apply to patients with chronic kidney disease (CKD) with moderately reduced estimated glomerular filtration rate and/or albuminuria is limited. OBJECTIVES We aimed to investigate the association between metabolic syndrome and its components with all-cause mortality and cardiovascular outcomes in CKD patients. METHODS Prospective observation of a cohort of 5110 CKD patients from the German Chronic Kidney Disease study with 3284 (64.3%) of them having a metabolic syndrome at baseline. RESULTS During the follow-up of 6.5 years, 605 patients died and 650 patients experienced major cardiovascular events. After extended data adjustment, patients with a metabolic syndrome had a higher risk for all-cause mortality (hazard ratio [HR] = 1.26, 95% confidence interval [CI]: 1.04-1.54) and cardiovascular events (HR = 1.48, 95% CI: 1.22-1.79). The risk increased steadily with a growing number of metabolic syndrome components (increased waist circumference, glucose, triglycerides, hypertension and decreased HDL cholesterol): HR per component = 1.09 (95% CI: 1.02-1.17) for all-cause mortality and 1.23 (95% CI: 1.15-1.32) for cardiovascular events. This resulted in hazard ratios between 1.50 and 2.50 in the case when four or five components are present. An analysis of individual components of metabolic syndrome showed that the glucose component led to the highest increase in risk for all-cause mortality (HR = 1.68, 95% CI: 1.38-2.03) and cardiovascular events (HR = 1.81, 95% CI: 1.51-2.18), followed by the HDL cholesterol and triglyceride components. CONCLUSIONS We observed a high prevalence of metabolic syndrome among patients with moderate CKD. Metabolic syndrome increases the risk for all-cause mortality and cardiovascular events. The glucose and lipid components seem to be the main drivers for the association with outcomes.
Collapse
Affiliation(s)
- Lorenz M Pammer
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Claudia Lamina
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ulla T Schultheiss
- Faculty of Medicine and Medical Center, Institute of Genetic Epidemiology, University of Freiburg, Freiburg, Germany.,Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Fruzsina Kotsis
- Faculty of Medicine and Medical Center, Institute of Genetic Epidemiology, University of Freiburg, Freiburg, Germany.,Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Barbara Kollerits
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Helena Stockmann
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jan Lipovsek
- Faculty of Medicine and Medical Center, Institute of Genetic Epidemiology, University of Freiburg, Freiburg, Germany
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Martin Busch
- Department of Internal Medicine III, Friedrich Schiller University Jena, Jena, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Florian Kronenberg
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | -
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| |
Collapse
|
44
|
Hecking M, Tu C, Zee J, Bieber B, Hödlmoser S, Reichel H, Sesso R, Port FK, Robinson BM, Carrero JJ, Tong A, Combe C, Stengel B, Pecoits-Filho R. Sex-Specific Differences in Mortality and Incident Dialysis in the Chronic Kidney Disease Outcomes and Practice Patterns Study. Kidney Int Rep 2021; 7:410-423. [PMID: 35257054 PMCID: PMC8897674 DOI: 10.1016/j.ekir.2021.11.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/18/2021] [Accepted: 11/15/2021] [Indexed: 11/20/2022] Open
Abstract
Introduction More men than women start kidney replacement therapy (KRT) although the prevalence of chronic kidney disease (CKD) is higher in women than men. We therefore aimed at analyzing sex-specific differences in clinical outcomes among 8237 individuals with CKD in stages 3 to 5 from Brazil, France, Germany, and the United States participating in the Chronic Kidney Disease Outcomes and Practice Patterns Study (CKDopps). Methods Fine and Gray models, evaluating the effect of sex on time to events, were adjusted for age, Black race (model A); plus diabetes, cardiovascular disease, albuminuria (model B); plus estimated glomerular filtration rate (eGFR) slope during the first 12 months after enrollment and first eGFR after enrollment (model C). Results There were more men than women at baseline (58% vs. 42%), men were younger than women, and men had higher eGFR (28.9 ± 11.5 vs. 27.0 ± 10.8 ml/min per 1.73 m2). Over a median follow-up of 2.7 and 2.5 years for men and women, respectively, the crude dialysis initiation and pre-emptive transplantation rates were higher in men whereas that of pre-KRT death was more similar. The adjusted subdistribution hazard ratios (SHRs) between men versus women for dialysis were 1.51 (1.27–1.80) (model A), 1.32 (1.10–1.59) (model B), and 1.50 (1.25–1.80) (model C); for pre-KRT death, were 1.25 (1.02–1.54) (model A), 1.14 (0.92–1.40) (model B), and 1.15 (0.93–1.42) (model C); for transplantation, were 1.31 (0.73–2.36) (model A), 1.44 (0.76–2.74) (model B), and 1.53 (0.79–2.94) (model C). Conclusion Men had a higher probability of commencing dialysis before death, unexplained by CKD progression alone. Although the causal mechanisms are uncertain, this finding helps interpret the preponderance of men in the dialysis population.
Collapse
|
45
|
Tanaka S, Nakano T, Hiyamuta H, Tsuruya K, Kitazono T. Association between Multimorbidity and Kidney Function among Patients with Non-Dialysis-Dependent CKD. J Atheroscler Thromb 2021; 29:1249-1264. [PMID: 34602524 PMCID: PMC9371752 DOI: 10.5551/jat.62900] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Aim: Individuals with chronic kidney disease (CKD) have a high prevalence of comorbidities, including cardiovascular disease (CVD) and its risk factors. However, epidemiological results to assess the association between multimorbidity and kidney function among the CKD population remains limited.
Methods: We performed a cross-sectional analysis of the association between 23 comorbid conditions and reduced kidney function in 4,476 patients with non-dialysis-dependent CKD enrolled in a multicenter cohort in Japan. Reduced kidney function was defined as an estimated glomerular filtration rate of ≤ 60 mL/min/1.73 m2.
Results: The mean age of patients was 67 years (male, 56.0%). The prevalence of hypertension, diabetes mellitus, dyslipidemia, prior CVD, cancer, and bone fracture, which are the major comorbidities, was 83.3%, 28.7%, 45.9%, 23.3%, 12.7%, and 6.3%, respectively. Multivariable-adjusted analyses revealed that age, male sex, hypertension, dyslipidemia, prior CVD, body mass index, urinary protein excretion, and underlying kidney disease were independent factors associated with reduced kidney function. Importantly, the odds ratios (ORs) for reduced kidney function increased linearly as the number of major comorbid conditions increased (OR for 1–2 conditions: 2.22, 95% confidence interval [CI]: 1.65–2.97; OR for 3–4 conditions: 3.04, 95% CI: 2.12–4.37; OR for ≥ 5 conditions: 4.37, 95% CI: 1.75–10.9). The upward trend in OR was more pronounced with cardiovascular comorbidities but not significant with non-cardiovascular comorbidities.
Conclusions: In conclusion, we observed an independent association between cardiovascular comorbidity and its risk factors and reduced kidney function. The results of this study highlight the importance of managing multimorbidity among patients with CKD.
Collapse
Affiliation(s)
- Shigeru Tanaka
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | - Toshiaki Nakano
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | - Hiroto Hiyamuta
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | | | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | | |
Collapse
|
46
|
Vaisitti T, Peritore D, Magistroni P, Ricci A, Lombardini L, Gringeri E, Catalano S, Spada M, Sciveres M, Di Giorgio A, Limongelli G, Varrenti M, Gerosa G, Terzi A, Pace Napoleone C, Amodeo A, Ragni L, Strologo LD, Benetti E, Fontana I, Testa S, Peruzzi L, Mitrotti A, Abbate S, Comai G, Gotti E, Schiavon M, Boffini M, De Angelis D, Bertani A, Pinelli D, Torre M, Poggi C, Deaglio S, Cardillo M, Amoroso A. The frequency of rare and monogenic diseases in pediatric organ transplant recipients in Italy. Orphanet J Rare Dis 2021; 16:374. [PMID: 34481500 PMCID: PMC8418291 DOI: 10.1186/s13023-021-02013-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/24/2021] [Indexed: 12/28/2022] Open
Abstract
Background Rare diseases are chronic and life-threatening disorders affecting < 1 person every 2,000. For most of them, clinical symptoms and signs can be observed at birth or childhood. Approximately 80% of all rare diseases have a genetic background and most of them are monogenic conditions. In addition, while the majority of these diseases is still incurable, early diagnosis and specific treatment can improve patients’ quality of life. Transplantation is among the therapeutic options and represents the definitive treatment for end-stage organ failure, both in children and adults. The aim of this paper was to analyze, in a large cohort of Italian patients, the main rare genetic diseases that led to organ transplantation, specifically pointing the attention on the pediatric cohort. Results To the purpose of our analysis, we considered heart, lung, liver and kidney transplants included in the Transplant Registry (TR) of the Italian National Transplantation Center in the 2002–2019 timeframe. Overall, 49,404 recipients were enrolled in the cohort, 5.1% of whom in the pediatric age. For 40,909 (82.8%) transplant recipients, a disease diagnosis was available, of which 38,615 in the adult cohort, while 8,495 patients (17.2%) were undiagnosed. There were 128 disease categories, and of these, 117 were listed in the main rare disease databases. In the pediatric cohort, 2,294 (5.6%) patients had a disease diagnosis: of the 2,126 (92.7%) patients affected by a rare disease, 1,402 (61.1%) presented with a monogenic condition. As expected, the frequencies of pathologies leading to organ failure were different between the pediatric and the adult cohort. Moreover, the pediatric group was characterized, compared to the adult one, by an overall better survival of the graft at ten years after transplant, with the only exception of lung transplants. When comparing survival considering rare vs non-rare diseases or rare and monogenic vs rare non-monogenic conditions, no differences were highlighted for kidney and lung transplants, while rare diseases had a better survival in liver as opposed to heart transplants. Conclusions This work represents the first national survey analyzing the main genetic causes and frequencies of rare and/or monogenic diseases leading to organ failure and requiring transplantation both in adults and children. Supplementary Information The online version contains supplementary material available at 10.1186/s13023-021-02013-x.
Collapse
Affiliation(s)
- Tiziana Vaisitti
- Department of Medical Sciences, University of Torino, Via Nizza 52, 10126, Torino, Italy
| | - Daniela Peritore
- National Transplant Center, Istituto Superiore Di Sanità, Roma, Italy
| | - Paola Magistroni
- Immunogenetics and Transplant Biology, Azienda Ospedaliera Universitaria Città Della Salute E Della Scienza Di Torino, Torino, Italy
| | - Andrea Ricci
- National Transplant Center, Istituto Superiore Di Sanità, Roma, Italy
| | | | - Enrico Gringeri
- Hepatobiliary Surgery and Liver Transplantation Unit, Padova University Hospital, Padova, Italy
| | - Silvia Catalano
- General Surgery 2U - Liver Transplant Center, Azienda Ospedaliera Universitaria Città Della Salute E Della Scienza Di Torino, University of Turin, Torino, Italy
| | - Marco Spada
- Divison of Hepatobiliopancreatic Surgery, Liver and Kidney Transplantation, Research Unit of Clinical Hepatogastroenterology and Transplantation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | | | - Angelo Di Giorgio
- Paediatric Hepatology, Gastroenterology and Transplantation, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Giuseppe Limongelli
- Center for Coordination on rare diseases - Regione Campania, Cardiovascular Rare and Genetic Diseases Unit, Department of Cardiology, Monaldi Hospital, AORN Dei Colli,, Naples, Italy
| | - Marisa Varrenti
- DeGasperis CardioCenter, Niguarda Great Metropolitan Hospital, Milan, Italy
| | - Gino Gerosa
- Heart Transplantation Unit, Cardio-Thoraco-Vascular Sciences and Public Health Department, University Padova Hospital, Padova, Italy
| | - Amedeo Terzi
- UOS Transplantation Surgery, Asst Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Carlo Pace Napoleone
- Pediatric Cardiac Surgery and Congenital Cardiopathies Unit, Regina Margherita Children's Hospital, Azienda Ospedaliera Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | | | - Luca Ragni
- Paediatric Cardiology and ACHD Unit, S. Orsola, Malpighi Hospital, Bologna, Italy
| | - Luca Dello Strologo
- Renal Transplant Unit. Bambino Gesù Children's Research Hospital IRCCS, Rome, Italy
| | - Elisa Benetti
- Pediatric Nephrology, Dialysis and Transplant Unit, Department of Women's and Children's Health, Padua University Hospital, Padua, Italy
| | - Iris Fontana
- Azienda Ospedaliera Universitaria San Martino, Genoa, Italy
| | - Sara Testa
- Pediatric Nephrology, Dialysis and Transplant Unit, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Milan, Italy
| | - Licia Peruzzi
- Pediatric Nephrology Unit, Regina Margherita Children's Hospital, Azienda Ospedaliera Universitaria Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Adele Mitrotti
- Azienda Ospedaliera, Universitaria Policlinico Di Bari, Bari, Italy
| | | | - Giorgia Comai
- Nephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Eliana Gotti
- Unit of Nephrology, Azienda Socio Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
| | - Marco Schiavon
- Thoracic Surgery and Lung Transplant Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University Hospital of Padua, Padua, Italy
| | - Massimo Boffini
- Heart and Lung Transplant Center, Cardiac Surgery Division, Surgical Sciences Department, University of Torino, Torino, Italy
| | | | - Alessandro Bertani
- Division of Thoracic Surgery and Lung Transplantation, Department for the Treatment and Study of Cardiothoracic Diseases and Cardiothoracic Transplantation, IRCCS-ISMETT, Palermo, Italy
| | - Domenico Pinelli
- Department of Organ Failure and Transplantation, ASST Giovanni XXIII, Bergamo, Italy
| | | | - Camilla Poggi
- Department of Thoracic Surgery, Policlinico Umberto I Hospital, University of Rome Sapienza, Rome, Italy
| | - Silvia Deaglio
- Department of Medical Sciences, University of Torino, Via Nizza 52, 10126, Torino, Italy. .,Immunogenetics and Transplant Biology, Azienda Ospedaliera Universitaria Città Della Salute E Della Scienza Di Torino, Torino, Italy.
| | - Massimo Cardillo
- National Transplant Center, Istituto Superiore Di Sanità, Roma, Italy
| | - Antonio Amoroso
- Department of Medical Sciences, University of Torino, Via Nizza 52, 10126, Torino, Italy.,Immunogenetics and Transplant Biology, Azienda Ospedaliera Universitaria Città Della Salute E Della Scienza Di Torino, Torino, Italy
| | | |
Collapse
|
47
|
Kaesler N, Baid-Agrawal S, Grams S, Nadal J, Schmid M, Schneider MP, Eckardt KU, Floege J, Bergmann MM, Schlieper G, Saritas T. Low adherence to CKD-specific dietary recommendations associates with impaired kidney function, dyslipidemia, and inflammation. Eur J Clin Nutr 2021; 75:1389-1397. [PMID: 33531632 PMCID: PMC8416654 DOI: 10.1038/s41430-020-00849-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND/OBJECTIVES A diet following chronic kidney disease (CKD)-specific recommendations is considered essential for optimal management of patients with CKD. However, data on the adherence to these recommendations and its implications for health-relevant biomarkers are lacking. The objectives were to estimate adherence to CKD-specific dietary recommendations, to identify characteristics and lifestyle variables associated with poor adherence, and to investigate the relationship of adherence with biomarkers. METHODS In this cross-sectional analysis, average dietary intake was estimated in 3193 participants with moderately severe CKD enrolled into the observational multicenter German CKD study using a food frequency questionnaire. A CKD diet score was developed to assess adherence to CKD-specific dietary recommendations based on intake of sodium, potassium, fiber, protein, sugar, and cholesterol. The associations of dietary adherence with characteristics, lifestyle variables, and biomarker levels were determined. RESULTS Logistic regression analysis revealed younger age, higher body mass index, male gender, lower educational attainment, various lifestyle variables (cigarette smoking, infrequent alcohol consumption, low physical activity), and lower estimated glomerular filtrate rate associated with lower adherence to dietary recommendations. Low adherence to dietary recommendations was further associated with dyslipidemia, higher uric acid, and C-reactive protein levels. Associations between low dietary adherence and biomarkers were mostly driven by low intake of fiber and potassium, and high intake of sugar and cholesterol. CONCLUSIONS This study revealed differential characteristics and biomarkers associated with lower adherence to CKD-specific dietary recommendations. Promotion of CKD-specific dietary recommendations may help to mitigate the adverse prognosis in CKD patients.
Collapse
Affiliation(s)
- Nadine Kaesler
- Division of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
| | - Seema Baid-Agrawal
- Department of Nephrology and Transplant Center, Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden
| | - Sabine Grams
- German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Jennifer Nadal
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Matthias Schmid
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Markus P Schneider
- Department of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Hypertension, Klinikum Nürnberg, Paracelsus Private Medical University, Nürnberg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Jürgen Floege
- Division of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
| | - Manuela M Bergmann
- German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Georg Schlieper
- Division of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
- Center for Nephrology, Hypertension, and Metabolic Diseases, Hannover, Germany
| | - Turgay Saritas
- Division of Nephrology and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany.
| |
Collapse
|
48
|
Kotsis F, Schultheiss UT, Wuttke M, Schlosser P, Mielke J, Becker MS, Oefner PJ, Karoly ED, Mohney RP, Eckardt KU, Sekula P, Köttgen A. Self-Reported Medication Use and Urinary Drug Metabolites in the German Chronic Kidney Disease (GCKD) Study. J Am Soc Nephrol 2021; 32:2315-2329. [PMID: 34140400 PMCID: PMC8729827 DOI: 10.1681/asn.2021010063] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/31/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Polypharmacy is common among patients with CKD, but little is known about the urinary excretion of many drugs and their metabolites among patients with CKD. METHODS To evaluate self-reported medication use in relation to urine drug metabolite levels in a large cohort of patients with CKD, the German Chronic Kidney Disease study, we ascertained self-reported use of 158 substances and 41 medication groups, and coded active ingredients according to the Anatomical Therapeutic Chemical Classification System. We used a nontargeted mass spectrometry-based approach to quantify metabolites in urine; calculated specificity, sensitivity, and accuracy of medication use and corresponding metabolite measurements; and used multivariable regression models to evaluate associations and prescription patterns. RESULTS Among 4885 participants, there were 108 medication-drug metabolite pairs on the basis of reported medication use and 78 drug metabolites. Accuracy was excellent for measurements of 36 individual substances in which the unchanged drug was measured in urine (median, 98.5%; range, 61.1%-100%). For 66 pairs of substances and their related drug metabolites, median measurement-based specificity and sensitivity were 99.2% (range, 84.0%-100%) and 71.7% (range, 1.2%-100%), respectively. Commonly prescribed medications for hypertension and cardiovascular risk reduction-including angiotensin II receptor blockers, calcium channel blockers, and metoprolol-showed high sensitivity and specificity. Although self-reported use of prescribed analgesics (acetaminophen, ibuprofen) was <3% each, drug metabolite levels indicated higher usage (acetaminophen, 10%-26%; ibuprofen, 10%-18%). CONCLUSIONS This comprehensive screen of associations between urine drug metabolite levels and self-reported medication use supports the use of pharmacometabolomics to assess medication adherence and prescription patterns in persons with CKD, and indicates under-reported use of medications available over the counter, such as analgesics.
Collapse
Affiliation(s)
- Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany,Department of Medicine IV: Nephrology and Primary Care, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
| | - Ulla T. Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany,Department of Medicine IV: Nephrology and Primary Care, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany,Department of Medicine IV: Nephrology and Primary Care, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
| | - Pascal Schlosser
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
| | - Johanna Mielke
- Division of Pharmaceuticals, Open Innovation and Digital Technologies, Bayer AG, Wuppertal, Germany
| | - Michael S. Becker
- Division of Pharmaceuticals, Cardiovascular Research, Bayer AG, Wuppertal, Germany
| | - Peter J. Oefner
- Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | | | | | - Kai-Uwe Eckardt
- Department of Nephrology and Medical Intensive Care, Charité – Berlin University of Medicine, Berlin, Germany,Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich–Alexander University Erlangen–Nürnberg, Erlangen, Germany
| | - Peggy Sekula
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center – University of Freiburg, Freiburg, Germany
| | | |
Collapse
|
49
|
A small-molecule inhibitor of hypoxia-inducible factor prolyl hydroxylase improves obesity, nephropathy and cardiomyopathy in obese ZSF1 rats. PLoS One 2021; 16:e0255022. [PMID: 34339435 PMCID: PMC8328318 DOI: 10.1371/journal.pone.0255022] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 07/08/2021] [Indexed: 12/18/2022] Open
Abstract
Prolyl hydroxylase (PH) enzymes control the degradation of hypoxia-inducible factor (HIF), a transcription factor known to regulate erythropoiesis, angiogenesis, glucose metabolism, cell proliferation, and apoptosis. HIF-PH inhibitors (HIF-PHIs) correct anemia in patients with renal disease and in animal models of anemia and kidney disease. However, the effects of HIF-PHIs on comorbidities associated with kidney disease remain largely unknown. We evaluated the effects of the HIF-PHI FG-2216 in obese ZSF1 (Ob-ZSF1) rats, an established model of kidney failure with metabolic syndrome. Following unilateral nephrectomy (Nx) at 8 weeks of age, rats were treated with 40 mg/kg FG-2216 or vehicle by oral gavage three times per week for up to 18 weeks. FG-2216 corrected blood hemoglobin levels and improved kidney function and histopathology in Nx-Ob-ZSF1 rats by increasing the glomerular filtration rate, decreasing proteinuria, and reducing peritubular fibrosis, tubular damage, glomerulosclerosis and mesangial expansion. FG-2216 increased renal glucose excretion and decreased body weight, fat pad weight, and serum cholesterol in Nx-Ob-ZSF1 rats. Additionally, FG-2216 corrected hypertension, improved diastolic and systolic heart function, and reduced cardiac hypertrophy and fibrosis. In conclusion, the HIF-PHI FG-2216 improved renal and cardiovascular outcomes, and reduced obesity in a rat model of kidney disease with metabolic syndrome. Thus, in addition to correcting anemia, HIF-PHIs may provide renal and cardiac protection to patients suffering from kidney disease with metabolic syndrome.
Collapse
|
50
|
Schachtl-Riess JF, Kheirkhah A, Grüneis R, Di Maio S, Schoenherr S, Streiter G, Losso JL, Paulweber B, Eckardt KU, Köttgen A, Lamina C, Kronenberg F, Coassin S. Frequent LPA KIV-2 Variants Lower Lipoprotein(a) Concentrations and Protect Against Coronary Artery Disease. J Am Coll Cardiol 2021; 78:437-449. [PMID: 34325833 PMCID: PMC7613585 DOI: 10.1016/j.jacc.2021.05.037] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/11/2021] [Accepted: 05/24/2021] [Indexed: 12/24/2022]
Abstract
Background Lipoprotein(a) (Lp(a)) concentrations are a major independent risk factor for coronary artery disease (CAD) and are mainly determined by variation in LPA. Up to 70% of the LPA coding sequence is located in the hyper-variable kringle IV type 2 (KIV-2) region. It is hardly accessible by conventional technologies, but may contain functional variants. Objectives This study sought to investigate the new, very frequent splicing variant KIV-2 4733G>A on Lp(a) and CAD. Methods We genotyped 4733G>A in the GCKD (German Chronic Kidney Disease) study (n = 4,673) by allele-specific polymerase chain reaction, performed minigene assays, identified proxy single nucleotide polymorphisms and used them to characterize its effect on CAD by survival analysis in UK Biobank (n = 440,234). Frequencies in ethnic groups were assessed in the 1000 Genomes Project. Results The 4733G>A variant (38.2% carrier frequency) was found in most isoform sizes. It reduces allelic expression without abolishing protein production, lowers Lp(a) by 13.6 mg/dL (95% CI: 12.5-14.7; P < 0.0001) and is the strongest variance-explaining factor after the smaller isoform. Splicing of minigenes was modified. Compound heterozygosity (4.6% of the population) for 4733G>A and 4925G>A, another KIV-2 splicing mutation, reduces Lp(a) by 31.8 mg/dL and most importantly narrows the interquartile range by 9-fold (from 42.1 to 4.6 mg/dL) when compared to the wild type. In UK Biobank 4733G>A alone and compound heterozygosity with 4925G>A reduced HR for CAD by 9% (95% CI: 7%-11%) and 12% (95% CI: 7%-16%) (both P < 0.001). Frequencies in ethnicities differ notably. Conclusions Functional variants in the previously inaccessible LPA KIV-2 region cooperate in determining Lp(a) variance and CAD risk. Even a moderate but lifelong genetic Lp(a) reduction translates to a noticeable CAD risk reduction. (J Am Coll Cardiol 2021;78:437–49)
Collapse
Affiliation(s)
- Johanna F Schachtl-Riess
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Azin Kheirkhah
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Rebecca Grüneis
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Silvia Di Maio
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Sebastian Schoenherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gertraud Streiter
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Jamie Lee Losso
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Bernhard Paulweber
- First Department of Internal Medicine, Paracelsus Private Medical University, Salzburg, Austria
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany; Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Claudia Lamina
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
| | - Stefan Coassin
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.
| | | |
Collapse
|