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Lai M, Madden E, Shlipak MG, Scherzer R, Post WS, Vittinghoff E, Haberlen S, Brown TT, Wolinsky SM, Witt MD, Ho K, Abraham AG, Parikh CR, Budoff M, Estrella MM. Association of urine biomarkers of kidney health with subclinical cardiovascular disease among men with and without HIV. AIDS 2024; 38:465-475. [PMID: 37861689 PMCID: PMC10922264 DOI: 10.1097/qad.0000000000003761] [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] [Indexed: 10/21/2023]
Abstract
OBJECTIVE The aim of this study was to determine whether urine biomarkers of kidney health are associated with subclinical cardiovascular disease among men with and without HIV. DESIGN A cross-sectional study within the Multicenter AIDS Cohort Study (MACS) among 504 men with and without HIV infection who underwent cardiac computed tomography scans and had urine biomarkers measured within the preceding 2 years. METHODS Our primary predictors were four urine biomarkers of endothelial (albuminuria), proximal tubule dysfunction (alpha-1-microglobulin [A1 M] and injury (kidney injury molecule-1 [KIM-1]) and tubulointerstitial fibrosis (pro-collagen-III N-terminal peptide [PIIINP]). These were evaluated for association with coronary artery calcium (CAC) prevalence, CAC extent, total plaque score, and total segment stenosis using multivariable regression. RESULTS Of the 504 participants, 384 were men with HIV (MWH) and 120 were men without HIV. In models adjusted for sociodemographic factors, cardiovascular disease risk factors, eGFR, and HIV-related factors, each two-fold higher concentration of albuminuria was associated with a greater extent of CAC (1.35-fold higher, 95% confidence interval 1.11-1.65), and segment stenosis (1.08-fold greater, 95% confidence interval 1.01-1.16). Associations were similar between MWH and men without HIV in stratified analyses. The third quartile of A1 M showed an association with greater CAC extent, total plaque score, and total segment stenosis, compared with the lowest quartile. CONCLUSION Worse endothelial and proximal tubule dysfunction, as reflected by higher urine albumin and A1 M, were associated with greater CAC extent and coronary artery stenosis.
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Affiliation(s)
- Mason Lai
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- Department of Medicine, University of California San Francisco
| | - Erin Madden
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System, San Francisco, California
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System, San Francisco, California
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System, San Francisco, California
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
| | - Eric Vittinghoff
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
| | - Sabina Haberlen
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
| | - Todd T Brown
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Steven M Wolinsky
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Mallory D Witt
- Lundquist Institute of Biomedical Research at Harbor-UCLA Medical Center, Torrance, California
| | - Ken Ho
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Alison G Abraham
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado
| | - Chirag R Parikh
- Department of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Matthew Budoff
- Lundquist Institute of Biomedical Research at Harbor-UCLA Medical Center, Torrance, California
| | - Michelle M Estrella
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System, San Francisco, California
- Department of Medicine, Division of Nephrology, University of California San Francisco, San Francisco, California, USA
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Nourie N, Ghaleb R, Lefaucheur C, Louis K. Toward Precision Medicine: Exploring the Landscape of Biomarkers in Acute Kidney Injury. Biomolecules 2024; 14:82. [PMID: 38254682 PMCID: PMC10813773 DOI: 10.3390/biom14010082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 01/02/2024] [Accepted: 01/06/2024] [Indexed: 01/24/2024] Open
Abstract
Acute kidney injury (AKI) remains a complex challenge with diverse underlying pathological mechanisms and etiologies. Current detection methods predominantly rely on serum creatinine, which exhibits substantial limitations in specificity and poses the issue of late-stage detection of kidney injury. In this review, we propose an up-to-date and comprehensive summary of advancements that identified novel biomarker candidates in blood and urine and ideal criteria for AKI biomarkers such as renal injury specificity, mechanistic insight, prognostic capacity, and affordability. Recently identified biomarkers not only indicate injury location but also offer valuable insights into a range of pathological processes, encompassing reduced glomerular filtration rate, tubular function, inflammation, and adaptive response to injury. The clinical applications of AKI biomarkers are becoming extensive and serving as relevant tools in distinguishing acute tubular necrosis from other acute renal conditions. Also, these biomarkers can offer significant insights into the risk of progression to chronic kidney disease CKD and in the context of kidney transplantation. Integration of these biomarkers into clinical practice has the potential to improve early diagnosis of AKI and revolutionize the design of clinical trials, offering valuable endpoints for therapeutic interventions and enhancing patient care and outcomes.
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Affiliation(s)
- Nicole Nourie
- Department of Nephrology and Kidney Transplantation, Saint Louis Hospital, Assistance Publique-Hôpitaux de Paris, 75010 Paris, France
- Human Immunology and Immunopathology, Inserm UMR 976, Université Paris Cité, 75010 Paris, France
| | - Rita Ghaleb
- Faculty of Medicine, Saint Joseph University, Beirut 1104 2020, Lebanon
| | - Carmen Lefaucheur
- Department of Nephrology and Kidney Transplantation, Saint Louis Hospital, Assistance Publique-Hôpitaux de Paris, 75010 Paris, France
- Human Immunology and Immunopathology, Inserm UMR 976, Université Paris Cité, 75010 Paris, France
| | - Kevin Louis
- Department of Nephrology and Kidney Transplantation, Saint Louis Hospital, Assistance Publique-Hôpitaux de Paris, 75010 Paris, France
- Human Immunology and Immunopathology, Inserm UMR 976, Université Paris Cité, 75010 Paris, France
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Sheshadri A, Lai M, Hsu FC, Bauer SR, Chen SH, Tse W, Jotwani V, Tranah GJ, Lai JC, Hallan S, Fielding RA, Liu C, Ix JH, Coca SG, Shlipak MG. Structured Moderate Exercise and Biomarkers of Kidney Health in Sedentary Older Adults: The Lifestyle Interventions and Independence for Elders Randomized Clinical Trial. Kidney Med 2023; 5:100721. [PMID: 37915963 PMCID: PMC10616412 DOI: 10.1016/j.xkme.2023.100721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023] Open
Abstract
Rationale & Objective In the Lifestyle Interventions and Independence for Elders (LIFE) trial, a structured exercise intervention slowed kidney function decline in sedentary older adults. Biomarkers of kidney health could distinguish potential mechanisms for this beneficial effect. Study Design Randomized controlled trial. Setting & Population A total of 1,381 sedentary adults aged 70-89 years enrolled in the LIFE trial. Intervention Structured, 2-year, moderate-intensity exercise intervention versus health education. Outcomes Physical activity was measured by step count. Primary outcomes were changes in 14 serum and urine biomarkers of kidney health collected at baseline, year 1, and year 2. We determined the effect of randomization on changes in kidney measures and then evaluated observational associations of achieved activity on each measure. Results Participants assigned to exercise walked on average 291 more steps per day than participants assigned to health education. The intervention was not significantly associated with changes in biomarkers of kidney health. In observational analyses, persons in the highest versus lowest quartile of activity (≥3,470 vs <1,568 steps/day) had significant improvement in urine albumin (mean, -0.22 mg albumin/g urine creatinine [interquartile range (IQR), -0.37 to -0.06]), alpha-1-microglobulin (-0.18 mg/L [-0.28 to -0.08]), trefoil factor-3 (-0.24 pg/mL [-0.35 to -0.13]), epidermal growth factor (0.19 pg/mL [0.06-0.32]), uromodulin (0.06 pg/mL [0.00-0.12]), interleukin 18 (-0.09 pg/mL [-0.15 to -0.03]), neutrophil gelatinase-associated lipocalin (-0.16 pg/mL [-0.24 to -0.07]), monocyte chemoattractant protein-1 (-0.25 pg/mL [-0.36 to -0.14]), clusterin (-0.16 pg/mL [-0.30 to -0.02]), serum tumor necrosis factor receptor-1 (-0.25 mg/dL [-0.39 to -0.11]) and tumor necrosis factor receptor-2 (-0.30 mg/dL [-0.44 to -0.16]). In sensitivity analyses, incremental changes in activity were most impactful on urine interleukin 18 and serum tumor necrosis factor-1. Limitations The original study was not designed to assess the impact on kidney health. Non-white individuals and patients with advanced chronic kidney disease are underrepresented. Conclusions Randomization to structured exercise did not improve kidney health at a group level. However, higher exercise was associated with concurrent improvements in biomarkers of glomerular injury, tubular function/repair, tubular injury, generalized inflammation, and tubulointerstitial repair/fibrosis. Plain-Language Summary In the Lifestyle Interventions For Elders (LIFE) study, randomization to an exercise and physical activity intervention improved the slope of estimated glomerular filtration rate over 2 years compared with health education among older adults. In this study, we sought to determine whether there were specific biomarkers of kidney health that were affected by the exercise and physical activity intervention to investigate potential mechanisms for this positive impact on kidney decline. We found that randomization to the intervention did not improve any of the 14 measures of kidney tubule health. However, in observational analyses, higher activity was independently associated with improvements in several domains, especially tubular injury and generalized inflammation. These results help to clarify the impact of physical activity on kidney health.
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Affiliation(s)
- Anoop Sheshadri
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Mason Lai
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Scott R. Bauer
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Shyh-Huei Chen
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Warren Tse
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Vasantha Jotwani
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | | | - Jennifer C. Lai
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Stein Hallan
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Roger A. Fielding
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
| | - Christine Liu
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Geriatric Research Education and Clinical Center, Palo Alto VA Health Care System, Palo Alto, CA
| | - Joachim H. Ix
- Department of Medicine, University of California San Diego, La Jolla, CA
| | - Steven G. Coca
- Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Michael G. Shlipak
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
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Jiang K, Greenberg JH, Abraham A, Xu Y, Schelling JR, Feldman HI, Schrauben SJ, Waikar SS, Shlipak MG, Wettersten N, Coca SG, Vasan RS, Gutierrez OM, Ix JH, Warady BA, Kimmel PL, Bonventre JV, Parikh CR, Mitsnefes MM, Denburg MR, Furth S. Associations of Biomarkers of Kidney Tubule Health, Injury, and Inflammation with Left Ventricular Hypertrophy in Children with CKD. KIDNEY360 2023; 4:1039-1047. [PMID: 37303083 PMCID: PMC10476681 DOI: 10.34067/kid.0000000000000183] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 05/23/2023] [Indexed: 06/13/2023]
Abstract
Key Points Higher plasma and urine kidney injury molecule-1, urine monocyte chemoattractant protein-1, and lower urine alpha-1-microglobulin were associated with left ventricular hypertrophy, even after adjustment for confounders. Biomarkers of tubular injury, dysfunction, and inflammation may indicate the severity of kidney pathology and are associated with left ventricular hypertrophy. Background Left ventricular hypertrophy (LVH) is common in children with CKD and is associated with an increased risk of cardiovascular disease and mortality. We have shown that several plasma and urine biomarkers are associated with increased risk of CKD progression. As CKD is associated with LVH, we sought to investigate the association between the biomarkers and LVH. Methods In the CKD in Children Cohort Study, children aged 6 months to 16 years with an eGFR of 30–90 ml/min per 1.73 m2 were enrolled at 54 centers in the United States and Canada. We measured plasma biomarkers kidney injury molecule-1 (KIM-1), tumor necrosis factor receptor-1, tumor necrosis factor receptor-2, soluble urokinase-type plasminogen activator receptor and urine KIM-1, monocyte chemoattractant protein-1 (MCP-1), YKL-40, alpha-1-microglobulin (alpha-1m), and epidermal growth factor in stored plasma and urine collected 5 months after enrollment. Echocardiograms were performed 1 year after enrollment. We assessed the cross-sectional association between the log2 biomarker levels and LVH (left ventricular mass index greater than or equal to the 95th percentile) using a Poisson regression model, adjusted for age, sex, race, body mass index, hypertension, glomerular diagnosis, urine protein-to-creatinine ratio, and eGFR at study entry. Results Among the 504 children, LVH prevalence was 12% (n =59) 1 year after enrollment. In a multivariable-adjusted model, higher plasma and urine KIM-1 and urine MCP-1 concentrations were associated with a higher prevalence of LVH (plasma KIM-1 prevalence ratio [PR] per log2: 1.27, 95% confidence interval [CI], 1.02 to 1.58; urine KIM-1 PR: 1.21, 95% CI, 1.11 to 1.48; and urine MCP-1 PR: 1.18, 95% CI, 1.04 to 1.34). After multivariable adjustment for covariates, lower urine alpha-1m was also associated with a higher prevalence of LVH (PR: 0.90, 95% CI, 0.82 to 0.99). Conclusions Higher plasma and urine KIM-1, urine MCP-1, and lower urine alpha-1m were each associated with LVH prevalence in children with CKD. These biomarkers may better inform risk and help elucidate the pathophysiology of LVH in pediatric CKD.
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Affiliation(s)
- Kuan Jiang
- Yale School of Medicine, New Haven, Connecticut
| | | | - Alison Abraham
- University of Colorado, Anschutz Medical Campus, Denver, Colorado
- Johns Hopkins University, Baltimore, Maryland
| | - Yunwen Xu
- Johns Hopkins University, Baltimore, Maryland
| | | | - Harold I. Feldman
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sarah J. Schrauben
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | | | - Steven G. Coca
- Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | - Joachim H. Ix
- University of California San Diego, San Diego, California
| | | | | | | | | | | | | | - Susan Furth
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
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Chen TK, Coca SG, Thiessen-Philbrook HR, Heerspink HJ, Obeid W, Ix JH, Fried LF, Bonventre JV, El-Khoury JM, Shlipak MG, Parikh CR. Urinary Biomarkers of Tubular Health and Risk for Kidney Function Decline or Mortality in Diabetes. Am J Nephrol 2023; 53:775-785. [PMID: 36630924 PMCID: PMC10006337 DOI: 10.1159/000528918] [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: 08/28/2022] [Accepted: 12/20/2022] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Diabetes is a leading cause of end-stage kidney disease (ESKD). Biomarkers of tubular health may prognosticate chronic kidney disease (CKD) progression beyond estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR). METHODS We examined associations of five urinary biomarkers of tubular injury and repair (NGAL, KIM-1, IL-18, MCP-1, YKL-40) with kidney function decline (first occurrence of a decrease in eGFR ≥30 mL/min/1.73 m2 if randomization eGFR ≥60 or ≥50% if randomization eGFR <60; ESKD) and all-cause mortality among 1,135 VA NEPHRON-D trial participants with baseline UACR ≥300 mg/g and available urine samples. Covariates included age, sex, race, BMI, systolic BP, HbA1c, treatment arm, eGFR, and UACR. In a subset of participants with 12-month samples (n = 712), we evaluated associations of KIM-1, MCP-1, and YKL-40 change (from baseline to 12 months) with eGFR decline (from 12 months onward). RESULTS At baseline, mean age was 65 years, mean eGFR was 56 mL/min/1.73 m2, and median UACR was 840 mg/g. Over a median of 2.2 years, 13% experienced kidney function decline and 9% died. In fully adjusted models, the highest versus lowest quartiles of MCP-1 and YKL-40 were associated with 2.18- and 1.76-fold higher risks of kidney function decline, respectively. One-year changes in KIM-1, MCP-1, and YKL-40 were not associated with subsequent eGFR decline. Higher baseline levels of NGAL, IL-18, MCP-1, and YKL-40 levels (per 2-fold higher) were independently associated with 10-40% higher risk of mortality. CONCLUSION Among Veterans with diabetes and CKD, urinary biomarkers of tubular health were associated with kidney function decline and mortality.
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Affiliation(s)
- Teresa K. Chen
- Kidney Health Research Collaborative and Department of Medicine, University of California, San Francisco, California and San Francisco VA Health Care System, San Francisco, California, USA
| | - Steven G. Coca
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Heather R. Thiessen-Philbrook
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Wassim Obeid
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Joachim H. Ix
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, and Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Linda F. Fried
- Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
- Departments of Medicine, Epidemiology, and Clinical and Translational Science, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Joseph V. Bonventre
- Division of Renal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Joe M. El-Khoury
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Michael G. Shlipak
- Kidney Health Research Collaborative and Department of Medicine, University of California, San Francisco, California and San Francisco VA Health Care System, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Chirag R. Parikh
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
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Miller LM, Sarnak MJ, Rifkin DE, Potok OA, Fried L, Kritchevsky S, Drew D, Shlipak MG, Ix JH. Relationship of Kidney Tubule Biomarkers with Cognition among Community-Living Elders in the Health ABC Study. KIDNEY360 2022; 3:2106-2109. [PMID: 36591347 PMCID: PMC9802550 DOI: 10.34067/kid.0004022022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/30/2022] [Indexed: 12/31/2022]
Abstract
Higher baseline urinary neutrophil gelatinase-associated lipocalin was associated with worse cognitive scores at baseline.Lower concentrations of baseline serum bicarbonate (higher is better) were associated with lower cognitive scores at baseline.We found no associations with urine markers with longitudinal changes in cognition.
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Affiliation(s)
- Lindsay M. Miller
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, La Jolla, California
| | - Mark J. Sarnak
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Dena E. Rifkin
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, La Jolla, California
- Veterans Affairs San Diego Healthcare System, San Diego, California
| | - O. Alison Potok
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, La Jolla, California
- Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Linda Fried
- Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Steven Kritchevsky
- Wake Forest School of Medicine, Gerontology and Geriatric Medicine, Winston-Salem, North Carolina
| | - David Drew
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Michael G. Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, University of California San Francisco, San Francisco, California
| | - Joachim H. Ix
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, La Jolla, California
- Veterans Affairs San Diego Healthcare System, San Diego, California
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7
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Ikeme JC, Katz R, Muiru AN, Estrella MM, Scherzer R, Garimella PS, Hallan SI, Peralta CA, Ix JH, Shlipak MG. Clinical Risk Factors For Kidney Tubule Biomarker Abnormalities Among Hypertensive Adults With Reduced eGFR in the SPRINT Trial. Am J Hypertens 2022; 35:1006-1013. [PMID: 36094158 PMCID: PMC9729764 DOI: 10.1093/ajh/hpac102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 07/21/2022] [Accepted: 09/09/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Urine biomarkers of kidney tubule health may distinguish aspects of kidney damage that cannot be captured by current glomerular measures. Associations of clinical risk factors with specific kidney tubule biomarkers have not been evaluated in detail. METHODS We performed a cross-sectional study in the Systolic Blood Pressure Intervention Trial among 2,436 participants with a baseline estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2. Associations between demographic and clinical characteristics with urine biomarkers of kidney tubule health were evaluated using simultaneous multivariable linear regression of selected variables. RESULTS Each standard deviation higher age (9 years) was associated with 13% higher levels of chitinase-3-like protein-1 (YKL-40), indicating higher levels of tubulointerstitial inflammation and repair. Men had 31% higher levels of alpha-1 microglobulin and 16% higher levels of beta-2 microglobulin, reflecting worse tubule resorptive function. Black race was associated with significantly higher levels of neutrophil gelatinase-associated lipocalin (12%) and lower kidney injury molecule-1 (26%) and uromodulin (22%). Each standard deviation (SD) higher systolic blood pressure (SBP) (16 mmHg) was associated with 10% higher beta-2 microglobulin and 10% higher alpha-1 microglobulin, reflecting lower tubule resorptive function. CONCLUSIONS Clinical and demographic characteristics, such as race, sex, and elevated SBP, are associated with unique profiles of tubular damage, which could reflect under-recognized patterns of kidney tubule disease among persons with decreased eGFR.
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Affiliation(s)
- Jesse C Ikeme
- Kidney Health Research Collaborative, University of California, San Francisco and San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
| | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle, Washington, USA
| | - Anthony N Muiru
- Kidney Health Research Collaborative, University of California, San Francisco and San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
| | - Michelle M Estrella
- Kidney Health Research Collaborative, University of California, San Francisco and San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, University of California, San Francisco and San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
| | - Pranav S Garimella
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, California, USA
| | - Stein I Hallan
- Department of Nephrology, St Olav’s Hospital, Trondheim, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim,Norway
| | - Carmen A Peralta
- Kidney Health Research Collaborative, University of California, San Francisco and San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
- Cricket Health, Inc., San Francisco, California, USA
| | - Joachim H Ix
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, California, USA
- Herbert Wertheim School of Public Health, University of California San Diego, San Diego, California, USA
- Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, University of California, San Francisco and San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
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Lin H, Wang Z, Luo Y, Lin Z, Hong G, Deng K, Huang P, Shen Y. Weighted spectrochemical correlation network analysis-guided GA-PLSR: a potential spectral “fluid biopsy” approach for quantitative assessment of cardiac metabolites in diabetic cardiomyopathy. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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9
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Seyahi NS, Ozcan SG. Application of New Acute Kidney Injury Biomarkers. Biomark Med 2022. [DOI: 10.2174/9789815040463122010021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Kidney-related biomarkers can provide structural and functional information
about different parts of the nephron. These biomarkers can be used to evaluate
glomerular, tubular, or interstitial injury, inflammation, or repair, and glomerular or
tubular function. Furthermore, biomarkers can improve the acute kidney injury
diagnosis in various clinical conditions, including acute interstitial nephritis, acute
tubular injury, hepatorenal and cardiorenal syndrome, ischemic and nephrotoxic acute
kidney injury, and drug-induced acute kidney injury. Biomarkers might be used as an
additional precision medicine tool in managing patients with acute kidney injury; they
can help with clinical decision-making and impact patient outcomes. In this chapter, we
reviewed the utility of biomarkers used in acute kidney injury.
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Affiliation(s)
- Nurhan Seyahi Seyahi
- Department of Nephrology, Cerrahpasa Medical Faculty, Istanbul University - Cerrahpasa,
Istanbul, Turkey
| | - Seyda Gul Ozcan
- Department of Internal Medicine, Cerrahpasa Medical Faculty, Istanbul University -
Cerrahpasa, Istanbul, Turkey
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Keshawarz A, Hwang SJ, Lee GY, Yu Z, Yao C, Köttgen A, Levy D. Cardiovascular disease protein biomarkers are associated with kidney function: The Framingham Heart Study. PLoS One 2022; 17:e0268293. [PMID: 35544531 PMCID: PMC9094507 DOI: 10.1371/journal.pone.0268293] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/27/2022] [Indexed: 11/18/2022] Open
Abstract
Background Biomarkers common to chronic kidney disease (CKD) and cardiovascular disease (CVD) may reflect early impairments underlying both diseases. Methods We evaluated associations of 71 CVD-related plasma proteins measured in 2,873 Framingham Heart Study (FHS) Offspring cohort participants with cross-sectional continuous eGFR and with longitudinal change in eGFR from baseline to follow-up (ΔeGFR). We also evaluated the associations of the 71 CVD proteins with the following dichotomous secondary outcomes: prevalent CKD stage ≥3 (cross-sectional), new-onset CKD stage ≥3 (longitudinal), and rapid decline in eGFR (longitudinal). Proteins significantly associated with eGFR and ΔeGFR were subsequently validated in 3,951 FHS Third Generation cohort participants and were tested using Mendelian randomization (MR) analysis to infer putatively causal relations between plasma protein biomarkers and kidney function. Results In cross-sectional analysis, 37 protein biomarkers were significantly associated with eGFR at FDR<0.05 in the FHS Offspring cohort and 20 of these validated in the FHS Third Generation cohort at p<0.05/37. In longitudinal analysis, 27 protein biomarkers were significantly associated with ΔeGFR at FDR<0.05 and 12 of these were validated in the FHS Third Generation cohort at p<0.05/27. Additionally, 35 protein biomarkers were significantly associated with prevalent CKD, five were significantly associated with new-onset CKD, and 17 were significantly associated with rapid decline in eGFR. MR suggested putatively causal relations of melanoma cell adhesion molecule (MCAM; -0.011±0.003 mL/min/1.73m2, p = 5.11E-5) and epidermal growth factor-containing fibulin-like extracellular matrix protein 1 (EFEMP1; -0.006±0.002 mL/min/1.73m2, p = 0.0001) concentration with eGFR. Discussion/conclusions Eight protein biomarkers were consistently associated with eGFR in cross-sectional and longitudinal analysis in both cohorts and may capture early kidney impairment; others were implicated in association and causal inference analyses. A subset of CVD protein biomarkers may contribute causally to the pathogenesis of kidney impairment and should be studied as targets for CKD treatment and early prevention.
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Affiliation(s)
- Amena Keshawarz
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Shih-Jen Hwang
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Gha Young Lee
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Zhi Yu
- Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Chen Yao
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- Framingham Heart Study, Framingham, Massachusetts, United States of America
- * E-mail:
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11
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Peng S, Liu N, Wei K, Li G, Zou Z, Liu T, Shi M, Lv Y, Lin Y. The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People. Int J Gen Med 2022; 15:4495-4503. [PMID: 35518515 PMCID: PMC9064178 DOI: 10.2147/ijgm.s361468] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/11/2022] [Indexed: 12/22/2022] Open
Abstract
Purpose Recent studies have focused on whether kidney injury molecule-1 (KIM-1) might serve as a marker of acute kidney tubular injury. Our study analyzed the levels of KIM-1 in the healthy population of different ages to explore the correlation between KIM-1 and age. Moreover, we constructed a model to predict kidney age. Methods A cross-sectional study was conducted by Huashan Hospital, Shanghai, China, between April 2020 and December 2020. KIM-1 and other kidney biomarkers were measured in 176 healthy individuals ranging from 26 to 91 years old. Statistical correlated analyses for urinary KIM-1, creatinine (uCREA), potassium (K), sodium (Na) and chlorine (Cl), plasmic renin, angiotensin-2 (AngII) and aldosterone (ALD), and serum microalbuminuria (MALB), β2-microglobulin (B2MG), cystatin C (CYSC), urea nitrogen (BUN), creatinine (CREA), and glucose (GLU) were performed to assess the correlation between age and kidney biomarkers. All variables were selected as independent variables for the prediction of age by multiple linear regression. Results KIM-1 positively correlated with age in kidney healthy people (r = 0.41, p < 0.05), whether among females (r = 0.51, p < 0.05) or males (r = 0.27, p < 0.05). It was much related to K (r = 0.34), B2MG (r = 0.28), and CL (r = 0.23). The predicted model was constructed with eGFR, Cl, ALD, CYSC, KIM-1, BUN, GLU and AngII, reaching an adjusted R2 of 69.5% and a standard error of the estimated 7.84 years. Conclusion The level of urinary KIM-1 increases with age in healthy people. The model constructed by KIM-1 and the other 7 biomarkers can predict kidney age in healthy people.
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Affiliation(s)
- Shanshan Peng
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Na Liu
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Kai Wei
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Gang Li
- Shanghai Baoshan Renhe Hospital, Shanghai, People's Republic of China
| | - Zheng Zou
- Youyi Road Community Health Service Centre for Baoshan District, Shanghai, People's Republic of China
| | - Tao Liu
- Youyi Road Community Health Service Centre for Baoshan District, Shanghai, People's Republic of China
| | - Meifang Shi
- Youyi Road Community Health Service Centre for Baoshan District, Shanghai, People's Republic of China
| | - Yuan Lv
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Yong Lin
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
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12
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Mansour SG, Bhatraju PK, Coca SG, Obeid W, Wilson FP, Stanaway IB, Jia Y, Thiessen-Philbrook H, Go AS, Ikizler TA, Siew ED, Chinchilli VM, Hsu CY, Garg AX, Reeves WB, Liu KD, Kimmel PL, Kaufman JS, Wurfel MM, Himmelfarb J, Parikh SM, Parikh CR. Angiopoietins as Prognostic Markers for Future Kidney Disease and Heart Failure Events after Acute Kidney Injury. J Am Soc Nephrol 2022; 33:613-627. [PMID: 35017169 PMCID: PMC8975075 DOI: 10.1681/asn.2021060757] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 12/15/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND The mechanisms underlying long-term sequelae after AKI remain unclear. Vessel instability, an early response to endothelial injury, may reflect a shared mechanism and early trigger for CKD and heart failure. METHODS To investigate whether plasma angiopoietins, markers of vessel homeostasis, are associated with CKD progression and heart failure admissions after hospitalization in patients with and without AKI, we conducted a prospective cohort study to analyze the balance between angiopoietin-1 (Angpt-1), which maintains vessel stability, and angiopoietin-2 (Angpt-2), which increases vessel destabilization. Three months after discharge, we evaluated the associations between angiopoietins and development of the primary outcomes of CKD progression and heart failure and the secondary outcome of all-cause mortality 3 months after discharge or later. RESULTS Median age for the 1503 participants was 65.8 years; 746 (50%) had AKI. Compared with the lowest quartile, the highest quartile of the Angpt-1:Angpt-2 ratio was associated with 72% lower risk of CKD progression (adjusted hazard ratio [aHR], 0.28; 95% confidence interval [CI], 0.15 to 0.51), 94% lower risk of heart failure (aHR, 0.06; 95% CI, 0.02 to 0.15), and 82% lower risk of mortality (aHR, 0.18; 95% CI, 0.09 to 0.35) for those with AKI. Among those without AKI, the highest quartile of Angpt-1:Angpt-2 ratio was associated with 71% lower risk of heart failure (aHR, 0.29; 95% CI, 0.12 to 0.69) and 68% less mortality (aHR, 0.32; 95% CI, 0.15 to 0.68). There were no associations with CKD progression. CONCLUSIONS A higher Angpt-1:Angpt-2 ratio was strongly associated with less CKD progression, heart failure, and mortality in the setting of AKI.
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Affiliation(s)
- Sherry G Mansour
- Clinical Translational Research Accelerator, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.,Section of Nephrology, Yale University School of Medicine, New Haven, Connecticut
| | - Pavan K Bhatraju
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, Washington.,Kidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
| | - Steven G Coca
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Wassim Obeid
- Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Francis P Wilson
- Clinical Translational Research Accelerator, Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.,Section of Nephrology, Yale University School of Medicine, New Haven, Connecticut
| | - Ian B Stanaway
- Kidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
| | - Yaqi Jia
- Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | | | - Alan S Go
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.,Division of Nephrology, Department of Medicine, Stanford University, Palo Alto, California.,Department of Health Research and Policy, Stanford University, Palo Alto, California.,Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - T Alp Ikizler
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Edward D Siew
- Division of Nephrology and Hypertension, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Vernon M Chinchilli
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
| | - Chi-Yuan Hsu
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California.,Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Amit X Garg
- Division of Nephrology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.,ICES, Ontario, Canada
| | - W Brian Reeves
- Division of Nephrology, Department of Medicine, University of Texas Joe and Teresa Long School of Medicine, San Antonio, Texas
| | - Kathleen D Liu
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California.,Department of Anesthesia, Division of Critical Care Medicine, University of California, San Francisco, San Francisco, California
| | - Paul L Kimmel
- Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - James S Kaufman
- Division of Nephrology, Veterans Affairs New York Harbor Healthcare System and New York University School of Medicine, New York, New York
| | - Mark M Wurfel
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, Washington.,Kidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
| | - Jonathan Himmelfarb
- Kidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
| | - Samir M Parikh
- Division of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Chirag R Parikh
- Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
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13
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Amatruda JG, Estrella MM, Garg AX, Thiessen-Philbrook H, McArthur E, Coca SG, Parikh CR, Shlipak MG. Urine Alpha-1-Microglobulin Levels and Acute Kidney Injury, Mortality, and Cardiovascular Events following Cardiac Surgery. Am J Nephrol 2021; 52:673-683. [PMID: 34515046 DOI: 10.1159/000518240] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 05/20/2021] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Urine alpha-1-microglobulin (Uα1m) elevations signal proximal tubule dysfunction. In ambulatory settings, higher Uα1m is associated with acute kidney injury (AKI), progressive chronic kidney disease (CKD), cardiovascular (CV) events, and mortality. We investigated the associations of pre- and postoperative Uα1m concentrations with adverse outcomes after cardiac surgery. METHODS In 1,464 adults undergoing cardiac surgery in the prospective multicenter Translational Research Investigating Biomarker Endpoints for Acute Kidney Injury (TRIBE-AKI) cohort, we measured the pre-and postoperative Uα1m concentrations and calculated the changes from pre- to postoperative concentrations. Outcomes were postoperative AKI during index hospitalization and longitudinal risks for CKD incidence and progression, CV events, and all-cause mortality after discharge. We analyzed Uα1m continuously and categorically by tertiles using multivariable logistic regression and Cox proportional hazards regression adjusted for demographics, surgery characteristics, comorbidities, baseline estimated glomerular filtration rate, urine albumin, and urine creatinine. RESULTS There were 230 AKI events during cardiac surgery hospitalization; during median 6.7 years of follow-up, there were 212 cases of incident CKD, 54 cases of CKD progression, 269 CV events, and 459 deaths. Each 2-fold higher concentration of preoperative Uα1m was independently associated with AKI (adjusted odds ratio [aOR] = 1.36, 95% confidence interval 1.14-1.62), CKD progression (adjusted hazard ratio [aHR] = 1.46, 1.04-2.05), and all-cause mortality (aHR = 1.19, 1.06-1.33) but not with incident CKD (aHR = 1.21, 0.96-1.51) or CV events (aHR = 1.01, 0.86-1.19). Postoperative Uα1m was not associated with AKI (aOR per 2-fold higher = 1.07, 0.93-1.22), CKD incidence (aHR = 0.90, 0.79-1.03) or progression (aHR = 0.79, 0.56-1.11), CV events (aHR = 1.06, 0.94-1.19), and mortality (aHR = 1.01, 0.92-1.11). CONCLUSION Preoperative Uα1m concentrations may identify patients at high risk of AKI and other adverse events after cardiac surgery, but postoperative Uα1m concentrations do not appear to be informative.
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Affiliation(s)
- Jonathan G Amatruda
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA,
- Kidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco, San Francisco, California, USA,
| | - Michelle M Estrella
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Kidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco, San Francisco, California, USA
- Division of Nephrology, Department of Medicine, San Francisco VA Health Care System, San Francisco, California, USA
| | - Amit X Garg
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | | | | | - Steven G Coca
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Chirag R Parikh
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco, San Francisco, California, USA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, California, USA
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14
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El-Khoury JM, Hoenig MP, Jones GRD, Lamb EJ, Parikh CR, Tolan NV, Wilson FP. AACC Guidance Document on Laboratory Investigation of Acute Kidney Injury. J Appl Lab Med 2021; 6:1316-1337. [PMID: 33973621 DOI: 10.1093/jalm/jfab020] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 03/15/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Acute kidney injury (AKI) is a sudden episode of kidney damage or failure affecting up to 15% of hospitalized patients and is associated with serious short- and long-term complications, mortality, and health care costs. Current practices to diagnose and stage AKI are variable and do not factor in our improved understanding of the biological and analytical variability of creatinine. In addition, the emergence of biomarkers, for example, cystatin C, insulin-like growth factor binding protein 7, and tissue inhibitor of metalloproteinases 2, and electronic notification tools for earlier detection of AKI, highlights the need for updated recommendations to address these developments. CONTENT This AACC Academy guidance document is intended to provide laboratorians and clinicians up-to-date information regarding current best practices for the laboratory investigation of AKI. Topics covered include: clinical indications for further investigating potential AKI, analytical considerations for creatinine assays, the impact of biological variability on diagnostic thresholds, defining "baseline" creatinine, role of traditional markers (urine sodium, fractional excretion of sodium, fractional excretion of urea, and blood urea-to-creatinine ratio), urinary microscopic examination, new biomarkers, improving AKI-associated test utilization, and the utility of automated AKI alerts. SUMMARY The previous decade brought us a significant number of new studies characterizing the performance of existing and new biomarkers, as well as potential new tools for early detection and notification of AKI. This guidance document is intended to inform clinicians and laboratorians on the best practices for the laboratory investigation of AKI, based on expert recommendations where the preponderance of evidence is available.
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Affiliation(s)
- Joe M El-Khoury
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Melanie P Hoenig
- Renal Division, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Edmund J Lamb
- Department of Pathology, East Kent Hospitals University NHS Foundation Trust, Kent, UK
| | - Chirag R Parikh
- Division of Nephrology, Johns Hopkins University, Baltimore, MD, USA
| | - Nicole V Tolan
- Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - F Perry Wilson
- Program of Applied Translational Research, Yale School of Medicine, New Haven, CT, USA
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15
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Muiru AN, Scherzer R, Ascher SB, Jotwani V, Grunfeld C, Shigenaga J, Spaulding KA, Ng DK, Gustafson D, Spence AB, Sharma A, Cohen MH, Parikh CR, Ix JH, Estrella MM, Shlipak MG. Associations of CKD risk factors and longitudinal changes in urine biomarkers of kidney tubules among women living with HIV. BMC Nephrol 2021; 22:296. [PMID: 34461840 PMCID: PMC8406753 DOI: 10.1186/s12882-021-02508-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 08/16/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Novel urine biomarkers have enabled the characterization of kidney tubular dysfunction and injury among persons living with HIV, a population at an increased risk of kidney disease. Even though several urine biomarkers predict progressive kidney function decline, antiretroviral toxicity, and mortality in the setting of HIV infection, the relationships among the risk factors for chronic kidney disease (CKD) and urine biomarkers are unclear. METHODS We assessed traditional and infection-related CKD risk factors and measured 14 urine biomarkers at baseline and at follow-up among women living with HIV in the Women's Interagency Health Study (WIHS). We then used simultaneously adjusted multivariable linear regression models to evaluate the associations of CKD risk factors with longitudinal changes in biomarker levels. RESULTS Of the 647 women living with HIV in this analysis, the majority (67%) were Black, the median age was 45 years and median follow-up time was 2.5 years. Each traditional and infection-related CKD risk factor was associated with a unique set of changes in urine biomarkers. For example, baseline hemoglobin a1c was associated with worse tubular injury (higher interleukin [IL]-18), proximal tubular reabsorptive dysfunction (higher α1-microglobulin), tubular reserve (lower uromodulin) and immune response to injury (higher chitinase-3-like protein-1 [YKL-40]). Furthermore, increasing hemoglobin a1c at follow-up was associated with further worsening of tubular injury (higher kidney injury molecule-1 [KIM-1] and IL-18), as well as higher YKL-40. HCV co-infection was associated with worsening proximal tubular reabsorptive dysfunction (higher β2-microglobulin [β2m]), and higher YKL-40, whereas HIV viremia was associated with worsening markers of tubular and glomerular injury (higher KIM-1 and albuminuria, respectively). CONCLUSIONS CKD risk factors are associated with unique patterns of biomarker changes among women living with HIV, suggesting that serial measurements of multiple biomarkers may help in detecting and monitoring kidney disease in this setting.
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Affiliation(s)
- Anthony N Muiru
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, CA, USA.
- Department of Medicine, Division of Nephrology, University of California, 533 Parnassus Avenue, U404, Box 0532, San Francisco, CA, 94143, USA.
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, CA, USA
| | - Simon B Ascher
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, CA, USA
- Division of Hospital Medicine, University of California Davis, Sacramento, CA, USA
| | - Vasantha Jotwani
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, CA, USA
- Department of Medicine, Division of Nephrology, University of California, 533 Parnassus Avenue, U404, Box 0532, San Francisco, CA, 94143, USA
| | - Carl Grunfeld
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, CA, USA
| | - Judy Shigenaga
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, CA, USA
| | - Kimberly A Spaulding
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, CA, USA
| | - Derek K Ng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Deborah Gustafson
- Department of Neurology, The State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Amanda B Spence
- Division of Infectious Diseases, Department of Medicine, Georgetown University Medical Center, Washington, DC, USA
| | - Anjali Sharma
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Mardge H Cohen
- Department of Medicine, Stroger Hospital and Rush University, Chicago, IL, USA
| | - Chirag R Parikh
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Joachim H Ix
- Division of Nephrology-Hypertension, University of California, San Diego, CA, USA
| | - Michelle M Estrella
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, CA, USA
- Department of Medicine, Division of Nephrology, University of California, 533 Parnassus Avenue, U404, Box 0532, San Francisco, CA, 94143, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, CA, USA
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16
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Strack C, Bauer S, Hubauer U, Ücer E, Birner C, Luchner A, Maier L, Jungbauer C. N-acetyl-ß-D-glucosaminidase is predictive of mortality in chronic heart failure: a 10-year follow-up. Biomark Med 2021; 15:1143-1153. [PMID: 34397265 DOI: 10.2217/bmm-2020-0366] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: The study focused on biomarkers of kidney injury as predictors of mortality in patients with chronic heart failure (CHF) in a long-term follow-up (median 104 months). Methods/results: KIM-1, NAG and NGAL were assessed from urine, NT-proBNP from blood samples. 149 patients (age 62 ± 12 years) with CHF (mean EF 30% [IQR 24-40%]) were enrolled. 79 (53%) patients died. Cox regression analysis revealed Log2NAG (HR: 1.46, CI: 1.12-1.89), Log2KIM-1 (HR: 1.23, CI: 1.02-1.49) and Log2NT-proBNP (HR: 1.50, CI: 1.32-1.72) as significant predictors of all-cause mortality as opposed to Log2NGAL (HR: 1.04, CI: 0.90-1.20). Log2NAG remained a significant predictor of all-cause mortality in a multivariate Cox regression model but lost its predictive value in combination with Log2NT-proBNP. Conclusion: The 10-year follow-up suggests NAG as a predictive tubular marker in CHF patients.
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Affiliation(s)
- Christina Strack
- Clinic of Internal Medicine II, University Hospital of Regensburg, Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany
| | - Susanne Bauer
- Clinic of Internal Medicine II, University Hospital of Regensburg, Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany
| | - Ute Hubauer
- Clinic of Internal Medicine II, University Hospital of Regensburg, Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany
| | - Ekrem Ücer
- Clinic of Internal Medicine II, University Hospital of Regensburg, Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany
| | - Christoph Birner
- Clinic of Internal Medicine I, Klinikum St. Marien, Amberg, Mariahilfbergweg 7, 92224, Amberg, Germany
| | - Andreas Luchner
- Clinic of Internal Medicine III, Clinic of Cardiology, Krankenhaus Barmherzige Brüder, Regensburg, Prüfeninger Str. 86, 93049, Regensburg, Germany
| | - Lars Maier
- Clinic of Internal Medicine II, University Hospital of Regensburg, Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany
| | - Carsten Jungbauer
- Clinic of Internal Medicine II, University Hospital of Regensburg, Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany
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17
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Kobayashi T, Nakamura T, Uematsu M, Horikoshi T, Yoshizaki T, Watanabe Y, Fujioka D, Saito Y, Nakamura K, Obata J, Kugiyama K. Evaluation of renal tubulointerstitial damage as a residual renal risk factor for adverse cardiac events in patients with myocardial infarction. J Cardiol 2021; 78:114-119. [PMID: 33832808 DOI: 10.1016/j.jjcc.2021.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 01/30/2021] [Accepted: 02/03/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Renal dysfunction, defined as a lower estimated glomerular filtration rate (eGFR), has been shown to be related to cardiovascular events in patients with myocardial infarction (MI). However, the contribution of renal tubulointerstitial damage to the predictive value for cardiovascular events has not been established. The aim of this study was to elucidate whether renal tubulointerstitial damage is associated with the occurrence of cardiac death and recurrence of MI in patients who have had MI. METHODS AND RESULTS Urinary β2-microglobulin (β2MG) was measured in 681 consecutive patients with MI in our hospital. All patients were followed up for <12 years or until the occurrence of cardiac death and MI. During a median follow-up period of 6 years, the cumulative cardiac death rate was 5.4%, and the MI rate was 3.1%. When outcomes were divided into two groups according to the β2MG levels, cardiac death and MI rates were lower in patients with lower levels of β2MG (<0.319 mg/gCre: determined by receiver operating characteristic analyses) than in those with β2MG ≥0.319 mg/gCre (5.9% versus 17.1%, p<0.01). When outcomes were stratified according to the β2MG levels in combination with eGFR levels, Kaplan-Meier analyses showed that cardiac death and MI rates increased depending on an increase in the β2MG levels (p<0.05). Moreover, multivariate Cox analyses revealed that high levels of β2MG were a significant independent predictor of adverse events (hazard ratio: 1.956; 95% confidence interval: 1.014-3.774; p = 0.045). The addition of high levels of β2MG to conventional risk factors, including eGFR and urinary albumin, improved the net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (NRI 0.5447, p = 0.0002; IDI 0.0126, p = 0.0454). CONCLUSION Renal tubulointerstitial damage, as assessed by urinary β2MG, is associated with the occurrence of cardiac death and recurrence of MI independent of renal glomerular function in patients with MI.
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Affiliation(s)
- Tsuyoshi Kobayashi
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan.
| | - Takamitsu Nakamura
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
| | - Manabu Uematsu
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
| | - Takeo Horikoshi
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
| | - Toru Yoshizaki
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
| | - Yosuke Watanabe
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
| | - Daisuke Fujioka
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
| | - Yukio Saito
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
| | - Kazuto Nakamura
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
| | - Jyunei Obata
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
| | - Kiyotaka Kugiyama
- Department of Internal Medicine II, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo 409-3898, Yamanashi, Japan
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18
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Matjuda EN, Engwa GA, Anye SNC, Nkeh-Chungag BN, Goswami N. Cardiovascular Risk Factors and Their Relationship with Vascular Dysfunction in South African Children of African Ancestry. J Clin Med 2021; 10:jcm10020354. [PMID: 33477761 PMCID: PMC7832309 DOI: 10.3390/jcm10020354] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 12/31/2020] [Accepted: 01/02/2021] [Indexed: 12/31/2022] Open
Abstract
Vascular dysfunction is known to be an initiator of the development and progression of cardiovascular diseases (CVDs). However, there is paucity of information on the relationship of vascular dysfunction with cardiovascular risk factors in children of African ancestry. This study investigated the relationship between cardiovascular risk factors and vascular function in South African children of African ancestry. A cross-sectional study on 6–9-year-old children in randomly selected rural and urban schools of the Eastern Cape Province of South Africa was conducted. General anthropometric indices were measured, followed by blood pressure (BP) measurements. The pulse wave velocity (PWV) was measured using a Vicorder. Albumin to creatinine ratio (ACR), asymmetric dimethylarginine (ADMA), 8-hydroxy-2deoxyguanosine (8-OHdG) and thiobarbituric acid reactive substance (TBARS) were assayed in urine. Children from urban settings (10.8%) had a higher prevalence of overweight/obesity than their rural counterparts (8.5%) while the prevalence of elevated/high blood pressure was higher in rural (23.2%) than urban children (19.0%). Mean arterial blood pressure (MAP) and diastolic blood pressure (DBP) increased with increasing PWV (p < 0.05). Body mass index (BMI), diastolic blood pressure (DBP) and mean arterial blood pressure (MAP) positively associated (p < 0.05) with PWV. Creatinine, albumin and ACR significantly (p < 0.005) increased with increasing ADMA. ADMA associated positively (p < 0.05) with creatinine and 8-OHdG. In conclusion, vascular dysfunction was associated with obesity, high blood pressure, oxidative stress and microalbuminuria in South African children of African ancestry.
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Affiliation(s)
- Edna N. Matjuda
- Department of Human Biology, Faculty of Health Sciences, Walter Sisulu University PBX1, Mthatha 5117, South Africa;
| | - Godwill A. Engwa
- Department of Biological and Environmental Sciences, Faculty of Natural Sciences, Walter Sisulu University PBX1, Mthatha 5117, South Africa;
| | - Samuel Nkeh Chungag Anye
- MBCHB Programme, Faculty of Health Sciences, Walter Sisulu University PBX1, Mthatha 5117, South Africa;
| | - Benedicta N. Nkeh-Chungag
- Department of Biological and Environmental Sciences, Faculty of Natural Sciences, Walter Sisulu University PBX1, Mthatha 5117, South Africa;
- Correspondence:
| | - Nandu Goswami
- Physiology Division, Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Medical University of Graz, Neue Stiftingtalstrasse 6, 8036 Graz, Austria;
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19
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Amatruda JG, Katz R, Peralta CA, Estrella MM, Sarathy H, Fried LF, Newman AB, Parikh CR, Ix JH, Sarnak MJ, Shlipak MG. Association of Non-Steroidal Anti-Inflammatory Drugs with Kidney Health in Ambulatory Older Adults. J Am Geriatr Soc 2020; 69:726-734. [PMID: 33305369 DOI: 10.1111/jgs.16961] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/24/2020] [Accepted: 10/26/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND/OBJECTIVES Non-steroidal anti-inflammatory drugs (NSAIDs) can cause kidney injury, especially in older adults. However, previously reported associations between NSAID use and kidney health outcomes are inconsistent and limited by reliance on serum creatinine-based GFR estimates. This analysis investigated the association of NSAID use with kidney damage in older adults using multiple kidney health measures. DESIGN Cross-sectional and longitudinal analyses. SETTING Multicenter, community-based cohort. PARTICIPANTS Two thousand nine hundred and ninty nine older adults in the Health ABC Study. A subcohort (n = 500) was randomly selected for additional biomarker measurements. EXPOSURE Prescription and over-the-counter NSAID use ascertained by self-report. MEASUREMENTS Baseline estimated glomerular filtration rate (eGFR) by cystatin C (cysC), urine albumin-to-creatinine ratio (ACR), kidney injury molecule-1 (KIM-1), and interleukin-18 (IL-18) were measured in 2,999 participants; alpha-1 microglobulin (α1m), neutrophil gelatinase-associated lipocalin (NGAL), propeptide type III procollagen (PIIINP), and uromodulin (UMOD) were measured in 500 participants. GFR was estimated three times over 10 years and expressed as percent change per year. RESULTS Participants had a mean age of 74 years, 51% were female, and 41% African-American. No eGFR differences were detected between NSAID users (n = 655) and non-users (n = 2,344) at baseline (72 ml/min/1.73 m2 in both groups). Compared to non-users, NSAID users had lower adjusted odds of having ACR greater than 30 mg/g (0.67; 95% confidence interval (CI) = 0.51-0.89) and lower mean urine IL-18 concentration at baseline (-11%; 95% CI = -4% to -18%), but similar mean KIM-1 (5%; 95% CI = -5% to 14%). No significant differences in baseline concentrations of the remaining urine biomarkers were detected. NSAID users and non-users did not differ significantly in the rate of eGFR decline (-2.2% vs -2.3% per year). CONCLUSION Self-reported NSAID use was not associated with kidney dysfunction or injury based on multiple measures, raising the possibility of NSAID use without kidney harm in ambulatory older adults. More research is needed to define safe patterns of NSAID consumption.
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Affiliation(s)
- Jonathan G Amatruda
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Kidney Health Research Collaborative, San Francisco VA Medical Center & University of California, San Francisco, San Francisco, California, USA
| | - Ronit Katz
- Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Carmen A Peralta
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Kidney Health Research Collaborative, San Francisco VA Medical Center & University of California, San Francisco, San Francisco, California, USA.,Chief Medical Office, Cricket Health, Inc., San Francisco, California, USA
| | - Michelle M Estrella
- Kidney Health Research Collaborative, San Francisco VA Medical Center & University of California, San Francisco, San Francisco, California, USA.,Division of Nephrology, Department of Medicine, San Francisco VA Medical Center, San Francisco, California, USA
| | - Harini Sarathy
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Division of Nephrology, Department of Medicine, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - Linda F Fried
- University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, Pennsylvania, USA.,VA Pittsburgh Healthcare System and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Anne B Newman
- University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Chirag R Parikh
- Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Joachim H Ix
- Division of Nephrology-Hypertension, Department of Medicine, University of California, San Diego, California, USA.,Nephrology Section, Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Mark J Sarnak
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco VA Medical Center & University of California, San Francisco, San Francisco, California, USA.,Department of Medicine, San Francisco VA Medical Center, San Francisco, California, USA
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20
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Albert C, Zapf A, Haase M, Röver C, Pickering JW, Albert A, Bellomo R, Breidthardt T, Camou F, Chen Z, Chocron S, Cruz D, de Geus HRH, Devarajan P, Di Somma S, Doi K, Endre ZH, Garcia-Alvarez M, Hjortrup PB, Hur M, Karaolanis G, Kavalci C, Kim H, Lentini P, Liebetrau C, Lipcsey M, Mårtensson J, Müller C, Nanas S, Nickolas TL, Pipili C, Ronco C, Rosa-Diez GJ, Ralib A, Soto K, Braun-Dullaeus RC, Heinz J, Haase-Fielitz A. Neutrophil Gelatinase-Associated Lipocalin Measured on Clinical Laboratory Platforms for the Prediction of Acute Kidney Injury and the Associated Need for Dialysis Therapy: A Systematic Review and Meta-analysis. Am J Kidney Dis 2020; 76:826-841.e1. [PMID: 32679151 PMCID: PMC8283708 DOI: 10.1053/j.ajkd.2020.05.015] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Accepted: 05/24/2020] [Indexed: 01/02/2023]
Abstract
RATIONALE & OBJECTIVE The usefulness of measures of neutrophil gelatinase-associated lipocalin (NGAL) in urine or plasma obtained on clinical laboratory platforms for predicting acute kidney injury (AKI) and AKI requiring dialysis (AKI-D) has not been fully evaluated. We sought to quantitatively summarize published data to evaluate the value of urinary and plasma NGAL for kidney risk prediction. STUDY DESIGN Literature-based meta-analysis and individual-study-data meta-analysis of diagnostic studies following PRISMA-IPD guidelines. SETTING & STUDY POPULATIONS Studies of adults investigating AKI, severe AKI, and AKI-D in the setting of cardiac surgery, intensive care, or emergency department care using either urinary or plasma NGAL measured on clinical laboratory platforms. SELECTION CRITERIA FOR STUDIES PubMed, Web of Science, Cochrane Library, Scopus, and congress abstracts ever published through February 2020 reporting diagnostic test studies of NGAL measured on clinical laboratory platforms to predict AKI. DATA EXTRACTION Individual-study-data meta-analysis was accomplished by giving authors data specifications tailored to their studies and requesting standardized patient-level data analysis. ANALYTICAL APPROACH Individual-study-data meta-analysis used a bivariate time-to-event model for interval-censored data from which discriminative ability (AUC) was characterized. NGAL cutoff concentrations at 95% sensitivity, 95% specificity, and optimal sensitivity and specificity were also estimated. Models incorporated as confounders the clinical setting and use versus nonuse of urine output as a criterion for AKI. A literature-based meta-analysis was also performed for all published studies including those for which the authors were unable to provide individual-study data analyses. RESULTS We included 52 observational studies involving 13,040 patients. We analyzed 30 data sets for the individual-study-data meta-analysis. For AKI, severe AKI, and AKI-D, numbers of events were 837, 304, and 103 for analyses of urinary NGAL, respectively; these values were 705, 271, and 178 for analyses of plasma NGAL. Discriminative performance was similar in both meta-analyses. Individual-study-data meta-analysis AUCs for urinary NGAL were 0.75 (95% CI, 0.73-0.76) and 0.80 (95% CI, 0.79-0.81) for severe AKI and AKI-D, respectively; for plasma NGAL, the corresponding AUCs were 0.80 (95% CI, 0.79-0.81) and 0.86 (95% CI, 0.84-0.86). Cutoff concentrations at 95% specificity for urinary NGAL were>580ng/mL with 27% sensitivity for severe AKI and>589ng/mL with 24% sensitivity for AKI-D. Corresponding cutoffs for plasma NGAL were>364ng/mL with 44% sensitivity and>546ng/mL with 26% sensitivity, respectively. LIMITATIONS Practice variability in initiation of dialysis. Imperfect harmonization of data across studies. CONCLUSIONS Urinary and plasma NGAL concentrations may identify patients at high risk for AKI in clinical research and practice. The cutoff concentrations reported in this study require prospective evaluation.
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Affiliation(s)
- Christian Albert
- University Clinic for Cardiology and Angiology, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany; Diaverum Renal Services Germany, Potsdam, Germany.
| | - Antonia Zapf
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg-Eppendorf, Germany
| | - Michael Haase
- Faculty of Medicine, Otto-von-Guericke University, Magdeburg, Germany; Diaverum Renal Services Germany, Potsdam, Germany
| | - Christian Röver
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
| | - John W Pickering
- Department of Medicine, University of Otago Christchurch; Emergency Department, Christchurch Hospital, Christchurch, New Zealand
| | - Annemarie Albert
- Diaverum Renal Services Germany, Potsdam, Germany; Department for Nephrology and Endocrinology, Klinikum Ernst von Bergmann, Potsdam, Germany
| | - Rinaldo Bellomo
- Department of Intensive Care, The Austin Hospital, Melbourne, Australia; Centre for Integrated Critical Care, The University of Melbourne, Melbourne, Australia
| | - Tobias Breidthardt
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland; Department of Nephrology, University Hospital Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, Basel, Switzerland
| | - Fabrice Camou
- Service de réanimation médicale, hôpital Saint-André, CHU de Bordeaux, France
| | - Zhongquing Chen
- Department of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangdong, China
| | - Sidney Chocron
- Department of Thoracic and Cardio-Vascular Surgery, University Hospital Jean Minjoz, Besançon, France
| | - Dinna Cruz
- Division of Nephrology-Hypertension, University of California, San Diego, CA
| | - Hilde R H de Geus
- Department of Intensive Care, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Prasad Devarajan
- Division of Nephrology and Hypertension, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, OH
| | - Salvatore Di Somma
- Emergency Medicine, Department of Medical-Surgery Sciences and Translational Medicine, Sapienza' University of Rome S. Andrea Hospital, Rome, Italy
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan
| | - Zoltan H Endre
- Department of Nephrology, Prince of Wales Hospital and Clinical School, University of New South Wales, Sydney, Australia
| | | | - Peter B Hjortrup
- Department of Intensive Care, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mina Hur
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Georgios Karaolanis
- Vascular Unit, First Department of Surgery, "Laiko" General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Cemil Kavalci
- Emergency Department, Baskent University Faculty of Medicine, Ankara, Turkey
| | - Hanah Kim
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Paolo Lentini
- Department of Nephrology and Dialysis, San Bassiano Hospital, Bassano del Grappa, Italy
| | | | - Miklós Lipcsey
- CIRRUS, Hedenstierna laboratory, Anaesthesiology and Intensive care, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Mårtensson
- Section of Anaesthesia and Intensive Care Medicine, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Christian Müller
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland; Department of Nephrology, University Hospital Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, Basel, Switzerland
| | - Serafim Nanas
- First Critical Care Department, 'Evangelismos' General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Thomas L Nickolas
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Chrysoula Pipili
- First Critical Care Department, 'Evangelismos' General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Claudio Ronco
- Department of Nephrology, Dialysis & Transplantation, University of Padova, Vicenza, Italy; International Renal Research Institute, San Bortolo Hospital, Vicenza, Italy
| | - Guillermo J Rosa-Diez
- Department of Nephrology, Dialysis and Transplantation, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Azrina Ralib
- Department of Anaesthesiology and Intensive Care, International Islamic University Malaysia, Pahang, Malaysia
| | - Karina Soto
- Department of Nephrology, Hospital Fernando Fonseca, Lisbon, Portugal; CEAUL, Centro de Estatística e Aplicações da Universidade de Lisboa, Lisbon, Portugal
| | - Rüdiger C Braun-Dullaeus
- University Clinic for Cardiology and Angiology, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany
| | - Judith Heinz
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
| | - Anja Haase-Fielitz
- Department of Cardiology, Immanuel Diakonie Bernau, Heart Center Brandenburg, Brandenburg Medical School Theodor Fontane, Faculty of Health Sciences, University of Potsdam, Potsdam, Germany
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21
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Sales da Silva E, Ferreira PM, Castro CH, Pacheco LF, Graziani D, Pontes CNR, Bessa ADSMD, Fernandes E, Naves LM, Ribeiro LCDS, Mendonça MM, Gomes RM, Pedrino GR, Ferreira RN, Xavier CH. Brain and kidney GHS-R1a underexpression is associated with changes in renal function and hemodynamics during neurogenic hypertension. Mol Cell Endocrinol 2020; 518:110984. [PMID: 32814069 DOI: 10.1016/j.mce.2020.110984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 08/07/2020] [Accepted: 08/07/2020] [Indexed: 10/23/2022]
Abstract
Ghrelin is a peptide hormone whose effects are mediated by the growth hormone secretagogue receptor subtype 1a (GHS-R1a), mainly expressed in the brain but also in kidneys. The hypothesis herein raised is that GHS-R1a would be player in the renal contribution to the neurogenic hypertension pathophysiology. To investigate GHS-R1a role on renal function and hemodynamics, we used Wistar (WT) and spontaneously hypertensive rats (SHR). First, we assessed the effect of systemically injected vehicle, ghrelin, GHS-R1a antagonist PF04628935, ghrelin plus PF04628935 or GHS-R1a synthetic agonist MK-677 in WT and SHR rats housed in metabolic cages (24 h). Blood and urine samples were also analyzed. Then, we assessed the GHS-R1a contribution to the control of renal vasomotion and hemodynamics in WT and SHR. Finally, we assessed the GHS-R1a levels in brain areas, aorta, renal artery, renal cortex and medulla of WT and SHR rats using western blot. We found that ghrelin and MK-677 changed osmolarity parameters of SHR, in a GHS-R1a-dependent manner. GHS-R1a antagonism reduced the urinary Na+ and K+ and creatinine clearance in WT but not in SHR. Ghrelin reduced arterial pressure and increased renal artery conductance in SHR. GHS-R1a protein levels were decreased in the kidney and brain areas of SHR when compared to WT. Therefore, GHS-R1a role in the control of renal function and hemodynamics during neurogenic hypertension seem to be different, and this may be related to brain and kidney GHS-R1a downregulation.
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Affiliation(s)
- Elder Sales da Silva
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Patrícia Maria Ferreira
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Carlos Henrique Castro
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Lilian Fernanda Pacheco
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Daniel Graziani
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Carolina Nobre Ribeiro Pontes
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Amanda de Sá Martins de Bessa
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Erika Fernandes
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Lara Marques Naves
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Larissa Cristina Dos Santos Ribeiro
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Michelle Mendanha Mendonça
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Rodrigo Mello Gomes
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Gustavo Rodrigues Pedrino
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Reginaldo Nassar Ferreira
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
| | - Carlos Henrique Xavier
- Systems Neurobiology Laboratory, Department of Physiology, Institute of Biological Sciences, Room 203, Federal University of Goiás, Goiânia, GO, 74690-900, Brazil.
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22
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Husain-Syed F, Gröne HJ, Assmus B, Bauer P, Gall H, Seeger W, Ghofrani A, Ronco C, Birk HW. Congestive nephropathy: a neglected entity? Proposal for diagnostic criteria and future perspectives. ESC Heart Fail 2020; 8:183-203. [PMID: 33258308 PMCID: PMC7835563 DOI: 10.1002/ehf2.13118] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 10/13/2020] [Accepted: 10/31/2020] [Indexed: 12/12/2022] Open
Abstract
Venous congestion has emerged as an important cause of renal dysfunction in patients with cardiorenal syndrome. However, only limited progress has been made in differentiating this haemodynamic phenotype of renal dysfunction, because of a significant overlap with pre-existing renal impairment due to long-term hypertension, diabetes, and renovascular disease. We propose congestive nephropathy (CN) as this neglected clinical entity. CN is a potentially reversible subtype of renal dysfunction associated with declining renal venous outflow and progressively increasing renal interstitial pressure. Venous congestion may lead to a vicious cycle of hormonal activation, increased intra-abdominal pressure, excessive renal tubular sodium reabsorption, and volume overload, leading to further right ventricular (RV) stress. Ultimately, renal replacement therapy may be required to relieve diuretic-resistant congestion. Effective decongestion could preserve or improve renal function. Congestive acute kidney injury may not be associated with cellular damage, and complete renal function restoration may be a confirmatory diagnostic criterion. In contrast, a persistently low renal perfusion pressure might induce renal dysfunction and histopathological lesions with time. Thus, urinary markers may differ. CN is mostly seen in biventricular heart failure but may also occur secondary to pulmonary arterial hypertension and elevated intra-abdominal pressure. An increase in central venous pressure to >6 mmHg is associated with a steep decrease in glomerular filtration rate. However, the central venous pressure range that can provide an optimal balance of RV and renal function remains to be determined. We propose criteria to identify cardiorenal syndrome subgroups likely to benefit from decongestive or pulmonary hypertension-specific therapies and suggest areas for future research.
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Affiliation(s)
- Faeq Husain-Syed
- Department of Internal Medicine II, Division of Nephrology, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.,Department of Internal Medicine II, Division of Pulmonology and Critical Care Medicine, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.,International Renal Research Institute of Vicenza, Via Rodolfi, 37-36100, Vicenza, Italy
| | - Hermann-Josef Gröne
- Department of Pharmacology, University of Marburg, Karl-von-Frisch-Strasse, 35043, Marburg, Germany
| | - Birgit Assmus
- Department of Internal Medicine I, Division of Cardiology and Angiology, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany
| | - Pascal Bauer
- Department of Internal Medicine I, Division of Cardiology and Angiology, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany
| | - Henning Gall
- Department of Internal Medicine II, Division of Pulmonology and Critical Care Medicine, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.,Member of the German Centre for Lung Research (DZL), Universities of Giessen and Marburg Lung Centre (UGMLC), Giessen, Germany
| | - Werner Seeger
- Department of Internal Medicine II, Division of Nephrology, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.,Department of Internal Medicine II, Division of Pulmonology and Critical Care Medicine, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.,Member of the German Centre for Lung Research (DZL), Universities of Giessen and Marburg Lung Centre (UGMLC), Giessen, Germany.,Institute for Lung Health (ILH), Justus Liebig Medical University, Ludwigstrasse 23, 35390, Giessen, Germany.,The Cardio-Pulmonary Institute, Aulweg 130, 35392, Giessen, Germany.,Department of Lung Development and Remodeling, Max Planck Institute for Heart and Lung Research, Ludwigstrasse 43, 61231, Bad Nauheim, Germany
| | - Ardeschir Ghofrani
- Department of Internal Medicine II, Division of Pulmonology and Critical Care Medicine, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany.,Member of the German Centre for Lung Research (DZL), Universities of Giessen and Marburg Lung Centre (UGMLC), Giessen, Germany.,Department of Pulmonology, Kerckhoff Heart, Rheuma and Thoracic Centre, Benekestrasse 2-8, 61231, Bad Nauheim, Germany.,Department of Medicine, Imperial College London, London, UK
| | - Claudio Ronco
- International Renal Research Institute of Vicenza, Via Rodolfi, 37-36100, Vicenza, Italy.,Department of Nephrology, Dialysis and Transplantation, San Bortolo Hospital, Via Rodolfi, 37-36100, Vicenza, Italy.,Department of Medicine (DIMED), Università di Padova, Via Giustiniani, 2-35128, Padua, Italy
| | - Horst-Walter Birk
- Department of Internal Medicine II, Division of Nephrology, University Hospital Giessen and Marburg, Klinikstrasse 33, 35392, Giessen, Germany
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23
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Jotwani V, Garimella PS, Katz R, Malhotra R, Bates J, Cheung AK, Chonchol M, Drawz PE, Freedman BI, Haley WE, Killeen AA, Punzi H, Sarnak MJ, Segal MS, Shlipak MG, Ix JH. Tubular Biomarkers and Chronic Kidney Disease Progression in SPRINT Participants. Am J Nephrol 2020; 51:797-805. [PMID: 32906135 DOI: 10.1159/000509978] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 07/05/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Kidney tubular atrophy on biopsy is a strong predictor of chronic kidney disease (CKD) progression, but tubular health is poorly quantified by traditional measures including estimated glomerular filtration rate (eGFR) and albuminuria. We hypothesized that urinary biomarkers of impaired tubule function would be associated with faster eGFR declines in persons with CKD. METHODS We measured baseline urine concentrations of uromodulin, β2-microglobulin (β2m), and α1-microglobulin (α1m) among 2,428 participants of the Systolic Blood Pressure Intervention Trial with an eGFR <60 mL/min/1.73 m2. We used linear mixed models to evaluate biomarker associations with annualized relative change in eGFR, stratified by randomization arm. RESULTS At baseline, the mean age was 73 ± 9 years and eGFR was 46 ± 11 mL/min/1.73 m2. In the standard blood pressure treatment arm, each 2-fold higher urinary uromodulin was associated with slower % annual eGFR decline (0.34 [95% CI: 0.08, 0.60]), whereas higher urinary β2m was associated with faster % annual eGFR decline (-0.10 [95% CI: -0.18, -0.02]) in multivariable-adjusted models including baseline eGFR and albuminuria. Associations were weaker and did not reach statistical significance in the intensive blood pressure treatment arm for either uromodulin (0.11 [-0.13, 0.35], p value for interaction by treatment arm = 0.045) or β2m (-0.01 [-0.08, 0.08], p value for interaction = 0.001). Urinary α1m was not independently associated with eGFR decline in the standard (0.01 [-0.22, 0.23]) or intensive (0.03 [-0.20, 0.25]) arm. CONCLUSIONS Among trial participants with hypertension and CKD, baseline measures of tubular function were associated with subsequent declines in kidney function, although these associations were diminished by intensive blood pressure control.
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Affiliation(s)
- Vasantha Jotwani
- Department of Medicine, San Francisco VA Medical Health Care System, San Francisco, California, USA,
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, California, USA,
| | - Pranav S Garimella
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Ronit Katz
- Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Rakesh Malhotra
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Jeffrey Bates
- Michael E. DeBakey VA Medical Center and Baylor College of Medicine, Houston, Texas, USA
| | - Alfred K Cheung
- Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Michel Chonchol
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Paul E Drawz
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Barry I Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - William E Haley
- Department of Medicine, Mayo Clinic, Jacksonville, Florida, USA
| | - Anthony A Killeen
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Henry Punzi
- Punzi Medical Center, Trinity Hypertension Research Institute, Carollton, Texas, USA
| | - Mark J Sarnak
- Department of Medicine, Tufts Medical Center, Boston, Massachusetts, USA
| | - Mark S Segal
- Department of Medicine, University of Florida, Gainesville, Florida, USA
| | - Michael G Shlipak
- Department of Medicine, San Francisco VA Medical Health Care System, San Francisco, California, USA
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, California, USA
| | - Joachim H Ix
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
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24
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Lieb W, Song RJ, Xanthakis V, Vasan RS. Association of Circulating Tissue Inhibitor of Metalloproteinases-1 and Procollagen Type III Aminoterminal Peptide Levels With Incident Heart Failure and Chronic Kidney Disease. J Am Heart Assoc 2020; 8:e011426. [PMID: 30890055 PMCID: PMC6509733 DOI: 10.1161/jaha.118.011426] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Tissue inhibitor of metalloproteinases-1 ( TIMP -1) and procollagen type III aminoterminal peptide are established circulating markers of extracellular matrix remodeling and associated with cardiovascular disease. The association of both biomarkers with incident congestive heart failure and chronic kidney disease ( CKD ) in the community is not well studied. Methods and Results We measured plasma total TIMP -1 and procollagen type III aminoterminal peptide levels in 922 Framingham participants (mean age, 57 years; 57% women) and related both biomarkers to the risk of incident CKD and congestive heart failure in multivariable-adjusted Cox regression models. Plasma total TIMP -1 levels were positively associated with risk of incident CKD (164 events; hazard ratio per 1 SD in log-biomarker, 1.90; 95% CI , 1.53-2.37) in multivariable models, including adjustments for left ventricular mass, C-reactive protein, and B-type natriuretic peptide levels. The association of total TIMP -1 with risk of congestive heart failure was statistically significant in an age- and sex-adjusted model, but was attenuated upon adjustment for conventional risk factors. Blood procollagen type III aminoterminal peptide levels were not related to the risk of CKD or congestive heart failure. Conclusions Higher baseline levels of total TIMP -1 conferred an increased risk for incident CKD , independent of conventional risk factors and circulating biomarkers of chronic systemic inflammation and neurohormonal activation. Our prospective observations in a large community-based sample support the role of matrix remodeling in the pathogenesis of CKD .
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Affiliation(s)
- Wolfgang Lieb
- 1 Framingham Heart Study Framingham MA.,4 Institute of Epidemiology Kiel University Kiel Germany
| | - Rebecca J Song
- 3 Department of Epidemiology Boston University School of Public Health Boston MA
| | - Vanessa Xanthakis
- 1 Framingham Heart Study Framingham MA.,2 Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,5 Department of Biostatistics Boston University School of Public Health Boston MA
| | - Ramachandran S Vasan
- 1 Framingham Heart Study Framingham MA.,2 Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,3 Department of Epidemiology Boston University School of Public Health Boston MA
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25
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Abstract
The current unidimensional paradigm of kidney disease detection is incompatible with the complexity and heterogeneity of renal pathology. The diagnosis of kidney disease has largely focused on glomerular filtration, while assessment of kidney tubular health has notably been absent. Following insult, the kidney tubular cells undergo a cascade of cellular responses that result in the production and accumulation of low-molecular-weight proteins in the urine and systemic circulation. Modern advancements in molecular analysis and proteomics have allowed the identification and quantification of these proteins as biomarkers for assessing and characterizing kidney diseases. In this review, we highlight promising biomarkers of kidney tubular health that have strong underpinnings in the pathophysiology of kidney disease. These biomarkers have been applied to various specific clinical settings from the spectrum of acute to chronic kidney diseases, demonstrating the potential to improve patient care.
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Affiliation(s)
- William R Zhang
- Kidney Health Research Collaborative, University of California San Francisco School of Medicine, San Francisco, California 94121, USA
| | - Chirag R Parikh
- Division of Nephrology, Johns Hopkins School of Medicine, Baltimore, Maryland 21287, USA;
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26
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Chen TK, Parikh CR. Management of Presumed Acute Kidney Injury during Hypertensive Therapy: Stay Calm and Carry on? Am J Nephrol 2020; 51:108-115. [PMID: 31940606 DOI: 10.1159/000505447] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 12/13/2019] [Indexed: 11/19/2022]
Abstract
BACKGROUND Recent studies have demonstrated that intensive blood pressure control is associated with improved cardiovascular outcomes. Acute kidney injury (AKI), however, was more common in the intensive treatment group prompting concern in the nephrology community. SUMMARY Clinical trials on hypertension control have traditionally defined AKI by changes in serum creatinine. However, serum creatinine has several inherent limitations as a marker of kidney injury, with various factors influencing its production, secretion, and elimination. Urinary biomarkers of kidney injury and repair have the potential to provide insight on the presence and phenotype of kidney injury. In both the Systolic Blood Pressure Intervention Trial and the Action to Control Cardiovascular Risk in Diabetes study, urinary biomarkers have suggested that the increased risk of AKI associated with intensive treatment was due to hemodynamic changes rather than structural kidney injury. As such, clinicians who encounter rises in serum creatinine during intensification of hypertension therapy should "stay calm and carry on." Alternative explanations for serum creatinine elevation should be considered and addressed if appropriate. When the rise in serum creatinine is limited, particularly if albuminuria is stable or improving, intensive blood pressure control should be continued for its potential long-term benefits. Key Messages: Increases in serum creatinine during intensification of blood pressure control may not necessarily reflect kidney injury. Clinicians should evaluate for other contributing factors before stopping therapy. Urinary biomarkers may address limitations of serum creatinine as a marker of kidney injury.
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Affiliation(s)
- Teresa K Chen
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Chirag R Parikh
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA,
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA,
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27
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Garimella PS, Lee AK, Ambrosius WT, Bhatt U, Cheung AK, Chonchol M, Craven T, Hawfield AT, Jotwani V, Killeen A, Punzi H, Sarnak MJ, Wall BM, Ix JH, Shlipak MG. Markers of kidney tubule function and risk of cardiovascular disease events and mortality in the SPRINT trial. Eur Heart J 2019; 40:3486-3493. [PMID: 31257404 PMCID: PMC6837159 DOI: 10.1093/eurheartj/ehz392] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 04/11/2019] [Accepted: 05/21/2019] [Indexed: 12/31/2022] Open
Abstract
AIMS Biomarkers of kidney tubule injury, inflammation and fibrosis have been studied extensively and established as risk markers of adverse kidney and cardiovascular disease (CVD) outcomes. However, associations of markers of kidney tubular function with adverse clinical events have not been well studied, especially in persons with chronic kidney disease (CKD). METHODS AND RESULTS Using a sample of 2377 persons with CKD at the baseline Systolic Blood Pressure Intervention Trial (SPRINT) visit, we evaluated the association of three urine tubular function markers, alpha-1 microglobulin (α1m), beta-2 microglobulin (β2m), and uromodulin, with a composite CVD endpoint (myocardial infarction, acute coronary syndrome, stroke, acute decompensated heart failure, or death from cardiovascular causes) and mortality using Cox proportional hazards regression, adjusted for baseline estimated glomerular filtration rate (eGFR), albuminuria, and CVD risk factors. In unadjusted analysis, over a median follow-up of 3.8 years, α1m and β2m had positive associations with composite CVD events and mortality, whereas uromodulin had an inverse association with risk for both outcomes. In multivariable analysis including eGFR and albuminuria, a two-fold higher baseline concentration of α1m was associated with higher risk of CVD [hazard ratio (HR) 1.25; 95% confidence interval (CI): 1.10-1.45] and mortality (HR 1.25; 95% CI: 1.10-1.46), whereas β2m had no association with either outcome. A two-fold higher uromodulin concentration was associated with lower CVD risk (HR 0.79; 95% CI: 0.68-0.90) but not mortality (HR 0.86; 95% CI: 0.73-1.01) after adjusting for similar confounders. CONCLUSION Among non-diabetic persons with CKD, biomarkers of tubular function are associated with CVD events and mortality independent of glomerular function and albuminuria.
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Affiliation(s)
- Pranav S Garimella
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Alexandra K Lee
- Division of General Internal Medicine, San Francisco VA Medical Center, San Francisco, CA, USA
| | - Walter T Ambrosius
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Udayan Bhatt
- Division of Nephrology, Ohio State University, Columbus, OH, USA
| | - Alfred K Cheung
- Division of Nephrology & Hypertension, Department of Internal Medicine, Medical Service, University of Utah, Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, UT, USA
| | - Michel Chonchol
- Division of Nephrology & Hypertension, Department of Medicine, University of Colorado, Denver, CO, USA
| | - Timothy Craven
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Amret T Hawfield
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Vasantha Jotwani
- Kidney Health Research Collaborative, San Francisco VA Medical Center, University of California, San Francisco, CA, USA
| | - Anthony Killeen
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | | | - Mark J Sarnak
- Division of Nephrology, Tufts Medical Center, Boston, MA, USA
| | - Barry M Wall
- Division of Nephrology, University of Tennessee, Memphis, TN, USA
| | - Joachim H Ix
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA, USA
- Division of Preventive Medicine, Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA, USA
- Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, CA, USA
| | - Michael G Shlipak
- Division of General Internal Medicine, San Francisco VA Medical Center, San Francisco, CA, USA
- Kidney Health Research Collaborative, San Francisco VA Medical Center, University of California, San Francisco, CA, USA
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28
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Lee AK, Katz R, Jotwani V, Garimella PS, Ambrosius WT, Cheung AK, Gren LH, Neyra JA, Punzi H, Raphael KL, Shlipak MG, Ix JH. Distinct Dimensions of Kidney Health and Risk of Cardiovascular Disease, Heart Failure, and Mortality. Hypertension 2019; 74:872-879. [PMID: 31378102 PMCID: PMC6739187 DOI: 10.1161/hypertensionaha.119.13339] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Chronic kidney disease is a strong risk factor for cardiovascular disease (CVD), but clinical kidney measures (estimated glomerular filtration rate and albuminuria) do not fully reflect the multiple aspects of kidney tubules influencing cardiovascular health. Applied methods are needed to integrate numerous tubule biomarkers into useful prognostic scores. In SPRINT (Systolic Blood Pressure Intervention Trial) participants with chronic kidney disease at baseline (estimated glomerular filtration ratecr&cys <60 mL/minute per 1.73 m2), we measured 8 biomarkers from urine (α1M [α1M microglobulin], β2M [β2M microglobulin], umod [uromodulin], KIM-1 [kidney injury molecule-1], MCP-1 [monocyte chemoattractant protein-1], YKL-40 [chitinase-3-like protein-1], NGAL [neutrophil gelatinase-associated lipocalin], and IL-18 [interleukin 18]) and 2 biomarkers from serum (intact parathyroid hormone, iFGF-23 [intact fibroblast growth factor-23]). We used an unsupervised method, exploratory factor analysis, to create summary scores of tubule health dimensions. Adjusted Cox models evaluated each tubule score with CVD events, heart failure, and all-cause mortality. We examined CVD discrimination using Harrell C-statistic. Factor analysis of 10 biomarkers from 2376 SPRINT-chronic kidney disease participants identified 4 unique dimensions of tubular health: tubule injury/repair (NGAL, IL-18, YKL-40), tubule injury/fibrosis (KIM-1, MCP-1), tubule reabsorption (α1M, β2M), and tubular reserve/mineral metabolism (umod, intact parathyroid hormone, iFGF-23). After adjustment for CVD risk factors, estimated glomerular filtration rate, and albumin-to-creatinine ratio, 2 of the 4 tubule scores were associated with CVD (hazard ratio per SD; reabsorption, 1.21 [1.06-1.38]; reserve, 1.24 (1.08-1.38]), 1 with heart failure (reserve, 1.41 [1.13-1.74]), and none with mortality. Compared with a base model (C-statistic=0.674), adding estimated glomerular filtration rate and albumin-to-creatinine ratio improved the C-statistic (C=0.704; P=0.001); further adding tubule scores additionally improved the C-statistic (C=0.719; P=0.009). In the setting of chronic kidney disease, dimensions of tubule health quantified using factor analysis improved CVD discrimination beyond contemporary kidney measures. Clinical Trial Registration- URL: http://www.clinicaltrials.gov. Unique identifier: NCT01206062.
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Affiliation(s)
| | | | | | | | | | - Alfred K. Cheung
- University of Utah
- Veterans Affairs Salt Lake City Healthcare System
| | | | - Javier A. Neyra
- University of Texas Southwestern, Dallas
- University of Kentucky, Lexington
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29
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Wan X, Zhang L, Gu H, Wang S, Liu X. The Association of Serum hsCRP and Urinary Alpha1-Microglobulin in Patients with Type 2 Diabetes Mellitus. BIOMED RESEARCH INTERNATIONAL 2019; 2019:6364390. [PMID: 31281843 PMCID: PMC6590668 DOI: 10.1155/2019/6364390] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 05/27/2019] [Indexed: 11/17/2022]
Abstract
This study aimed to investigate the association of serum hsCRP and urinary A1MG in patients with T2DM. Numerous investigations have proven that serum hypersensitive C-reactive protein (hsCRP) concentration in patients with type 2 diabetes mellitus (T2DM) is increased. Also, increased urinary alpha-1 microglobulin (A1MG) can be an early sign of renal damage, primarily on the proximal tubules in T2DM. Little information is available with respect to the associations of serum hsCRP levels and urinary A1MG in T2DM. A total of 520 patients with T2DM were recruited to participate in this study. Serum hsCRP and UA1MG (urinary alpha1-microglobulin to creatinine ratio), UACR (urinary microalbumin to creatinine ratio), UIGG (urinary immunoglobulin G to creatinine ratio), and UTRF (urinary transferrin to creatinine ratio) were obtained. The association of serum hsCRP level and each urinary protein parameter was analyzed by using the regression analysis, respectively. LnhsCRP was positively associated with the lnUA1MG in all three linear regression models (adjusted β in model 3=0.122, SE=0.027, P<0.001). Furthermore, the high hsCRP group (hsCRP > 3mg/L) was associated with increasing risk of high UA1MG (adjusted OR in model 3=1.610, 95% CI 1.037-2.499, P=0.034) by logistic regression. This study suggests that serum hsCRP levels independently associate with UA1MG in patients with T2DM. Further research is warranted to elucidate these interactions.
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Affiliation(s)
- Xiaohua Wan
- Department of Clinical Laboratory, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Lin Zhang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
- Beijing Key Laboratory of Diabetes Research and Care, Beijing, 100730, China
- Beijing Diabetes Institute, Beijing, 100730, China
| | - Haitong Gu
- Department of Clinical Laboratory, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Shenglai Wang
- Department of Clinical Laboratory, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Xiangyi Liu
- Department of Clinical Laboratory, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
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30
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Jotwani VK, Lee AK, Estrella MM, Katz R, Garimella PS, Malhotra R, Rifkin DE, Ambrosius W, Freedman BI, Cheung AK, Raphael KL, Drawz P, Neyra JA, Oparil S, Punzi H, Shlipak MG, Ix JH. Urinary Biomarkers of Tubular Damage Are Associated with Mortality but Not Cardiovascular Risk among Systolic Blood Pressure Intervention Trial Participants with Chronic Kidney Disease. Am J Nephrol 2019; 49:346-355. [PMID: 30939472 DOI: 10.1159/000499531] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 02/11/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND Kidney tubulointerstitial fibrosis on biopsy is a strong predictor of chronic kidney disease (CKD) progression, and CKD is associated with elevated risk of cardiovascular disease (CVD). Tubular health is poorly quantified by traditional kidney function measures, including estimated glomerular filtration rate (eGFR) and albuminuria. We hypothesized that urinary biomarkers of tubular injury, inflammation, and repair would be associated with higher risk of CVD and mortality in persons with CKD. METHODS We measured urinary concentrations of interleukin-18 (IL-18), kidney injury molecule-1, neutrophil gelatinase-associated lipocalin, monocyte chemoattractant protein-1, and chitinase-3-like protein-1 (YKL-40) at baseline among 2,377 participants of the Systolic Blood Pressure Intervention Trial who had an eGFR < 60 mL/min/1.73 m2. We used Cox proportional hazards models to evaluate biomarker associations with CVD events and all-cause mortality. RESULTS At baseline, the mean age of participants was 72 ± 9 years, and eGFR was 48 ± 11 mL/min/1.73 m2. Over a median follow-up of 3.8 years, 305 CVD events (3.6% per year) and 233 all-cause deaths (2.6% per year) occurred. After multivariable adjustment including eGFR, albuminuria, and urinary creatinine, none of the biomarkers showed statistically significant associations with CVD risk. Urinary IL-18 (hazard ratio [HR] per 2-fold higher value, 1.14; 95% CI 1.01-1.29) and YKL-40 (HR per 2-fold higher value, 1.08; 95% CI 1.02-1.14) concentrations were each incrementally associated with higher mortality risk. Associations were similar when stratified by randomized blood pressure arm. CONCLUSIONS Among hypertensive trial participants with CKD, higher urinary IL-18 and YKL-40 were associated with higher risk of mortality, but not CVD.
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Affiliation(s)
- Vasantha K Jotwani
- Department of Medicine, San Francisco VA Medical Health Care System, San Francisco, California, USA,
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, California, USA,
| | - Alexandra K Lee
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, California, USA
| | - Michelle M Estrella
- Department of Medicine, San Francisco VA Medical Health Care System, San Francisco, California, USA
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, California, USA
| | - Ronit Katz
- Kidney Research Institute, University of Washington, Seattle, Washington, USA
| | - Pranav S Garimella
- Department of Medicine, University of California, San Diego, California, USA
| | - Rakesh Malhotra
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Dena E Rifkin
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Walter Ambrosius
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Barry I Freedman
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Alfred K Cheung
- Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Kalani L Raphael
- Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Paul Drawz
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Javier A Neyra
- Department of Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - Suzanne Oparil
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Henry Punzi
- Punzi Medical Center, Trinity Hypertension Research Institute, Carollton, Texas, USA
| | - Michael G Shlipak
- Department of Medicine, San Francisco VA Medical Health Care System, San Francisco, California, USA
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, California, USA
| | - Joachim H Ix
- Department of Medicine, University of California, San Diego, California, USA
- Veterans Affairs San Diego Healthcare System, San Diego, California, USA
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31
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Walther CP, Shah M, Navaneethan SD. Estimated GFR Decline and Tubular Injury Biomarkers With Intensive Blood Pressure Control. Am J Kidney Dis 2018; 73:4-7. [PMID: 30424915 DOI: 10.1053/j.ajkd.2018.09.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 09/12/2018] [Indexed: 01/13/2023]
Affiliation(s)
- Carl P Walther
- Selzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, TX
| | - Maulin Shah
- Selzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, TX; Section of Nephrology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX
| | - Sankar D Navaneethan
- Selzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, TX; Section of Nephrology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX.
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32
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Role of Wnt4/β-catenin, Ang II/TGFβ, ACE2, NF-κB, and IL-18 in attenuating renal ischemia/reperfusion-induced injury in rats treated with Vit D and pioglitazone. Eur J Pharmacol 2018; 831:68-76. [PMID: 29715453 DOI: 10.1016/j.ejphar.2018.04.032] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 04/07/2018] [Accepted: 04/26/2018] [Indexed: 12/11/2022]
Abstract
Renal ischemia-reperfusion injury (I/RI) remains a critical clinical situation. Several evidence revealed the potential reno-protective effects of Vitamin D and/or pioglitazone, on renal I/RI. This study addresses the possible involvement of the Wnt4/β-catenin signaling, p-S536NF-κBp65, PPARγ, Ang II/TGF-β, and ACE2 as potential effectors to vitamin D and pioglitazone-mediated renoprotective effects. Two sets of Sprague-Dawley rats (n = 30 rat each), were randomized into sham, I/R, Vit D "alfacalcidol" (5 ng/kg/day), pioglitazone (5 mg/kg/day), and Vit D + pioglitazone groups. In all groups renal biochemical parameters, as well as inflammatory and structural profiles were assessed, besides the expression/contents of Wnt4/β-catenin and pS536-NF-κBp65. All treatments started 7 days before I/RI and animals were killed 24 h after I/RI in the first set, while those in the 2nd set continued their treatments for 14 days. After 24 h, all pre-treatments impeded theI/R effect on neutrophils recruitment, p-S536NF-κBp65, IL-18, NGAL, caspase-3, AngII, ACE-2, PPARγ and TGF-β, besides the expression of Wnt4 and ACE-2 with notable reflection on histological changes. Two weeks after I/RI, except a marked up regulation in Wnt4 expression and a striking elevation in the β-catenin content, the magnitude of the injurious events was relatively less pronounced, an effect that was mostly augmented by the different treatments. The current study pledges a promising and novel reno-protective role of the administration of Vit D and pioglitazone entailing a potential involvement of ICAM-1, MPO, NF-κB, Ang II, ACE2, TGFβ, and a modulation of Wnt4/β-catenin pathway.
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