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Wang W, You Z, Steele CN, Gitomer B, Chonchol M, Nowak KL. Changes in tubular biomarkers with dietary intervention and metformin in patients with autosomal dominant polycystic kidney disease: a post-hoc analysis of two clinical trials. BMC Nephrol 2024; 25:206. [PMID: 38918734 PMCID: PMC11200847 DOI: 10.1186/s12882-024-03643-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND Tubular biomarkers, which reflect tubular dysfunction or injury, are associated with incident chronic kidney disease and kidney function decline. Several tubular biomarkers have also been implicated in the progression of autosomal dominant polycystic kidney disease (ADPKD). We evaluated changes in multiple tubular biomarkers in four groups of patients with ADPKD who participated in one of two clinical trials (metformin therapy and diet-induced weight loss), based on evidence suggesting that such interventions could reduce tubule injury. METHODS 66 participants (26 M/40 F) with ADPKD and an estimated glomerular filtration rate (eGFR) ≥ 30 ml/min/1.73m2 who participated in either a metformin clinical trial (n = 22 metformin; n = 23 placebo) or dietary weight loss study (n = 10 daily caloric restriction [DCR]; n = 11 intermittent fasting [IMF]) were included in assessments of urinary tubular biomarkers (kidney injury molecule-1 [KIM-1], fatty-acid binding protein [FABP], interleukin-18 [IL-18], monocyte chemoattractant protein-1 [MCP-1], neutrophil gelatinase-associated lipocalin [NGAL], clusterin, and human cartilage glycoprotein-40 [YKL-40]; normalized to urine creatinine), at baseline and 12 months. The association of baseline tubular biomarkers with both baseline and change in height-adjusted total kidney volume (HtTKV; percent change from baseline to 12 months) and estimated glomerular filtration rate (eGFR; absolute change at 12 months vs. baseline), with covariate adjustment, was also assessed using multiple linear regression. RESULTS Mean ± s.d. age was 48 ± 8 years, eGFR was 71 ± 16 ml/min/1.73m2, and baseline BMI was 30.5 ± 5.9 kg/m2. None of the tubular biomarkers changed with any intervention as compared to placebo. Additionally, baseline tubular biomarkers were not associated with either baseline or change in eGFR or HtTKV over 12 months, after adjustments for demographics, group assignment, and clinical characteristics. CONCLUSIONS Tubular biomarkers did not change with dietary-induced weight loss or metformin, nor did they associate with kidney disease progression, in this cohort of patients with ADPKD.
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Affiliation(s)
- Wei Wang
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Zhiying You
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | | | - Michel Chonchol
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kristen L Nowak
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
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2
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Sorić Hosman I, Cvitković Roić A, Fištrek Prlić M, Vuković Brinar I, Lamot L. Predicting autosomal dominant polycystic kidney disease progression: review of promising Serum and urine biomarkers. Front Pediatr 2023; 11:1274435. [PMID: 38027263 PMCID: PMC10667601 DOI: 10.3389/fped.2023.1274435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
Autosomal dominant polycystic kidney disease (ADPKD) is one of the leading causes of end-stage renal disease. In spite of the recent tremendous progress in the understanding of ADPKD pathogenesis, the molecular mechanisms of the disease remain incompletely understood. Considering emerging new targeted therapies for ADPKD, it has become crucial to disclose easily measurable and widely available biomarkers for identifying patients with future rapid disease progression. This review encompasses all the research with a shared goal of identifying promising serum or urine biomarkers for predicting ADPKD progression or response to therapy. The rate of the ADPKD progress varies significantly between patients. The phenotypic variability is only partly explained by the underlying genetic lesion diversity. Considering significant decline in kidney function in ADPKD is not usually evident until at least 50% of the parenchyma has been destroyed, conventional kidney function measures, such as glomerular filtration rate (GFR), are not suitable for monitoring disease progression in ADPKD, particularly in its early stages. Since polycystic kidney enlargement usually precedes the decline in GFR, height-adjusted total kidney volume (ht-TKV) has been accepted as an early biomarker for assessing disease severity in ADPKD patients. However, since measuring ht-TKV is time-consuming and observer-dependent, the identification of a sensitive and quickly measurable biomarker is of a great interest for everyday clinical practice. Throughout the last decade, due to development of proteomic and metabolomic techniques and the enlightenment of multiple molecular pathways involved in the ADPKD pathogenesis, a number of urine and serum protein biomarkers have been investigated in ADPKD patients, some of which seem worth of further exploring. These include copeptin, angiotensinogen, monocyte chemoattractant protein 1, kidney injury molecule-1 and urine-to-plasma urea ratio among many others. The aim of the current review is to provide an overview of all of the published evidence on potentially clinically valuable serum and urine biomarkers that could be used for predicting disease progression or response to therapy in patients with ADPKD. Hopefully, this review will encourage future longitudinal prospective clinical studies evaluating proposed biomarkers as prognostic tools to improve management and outcome of ADPKD patients in everyday clinical practice.
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Affiliation(s)
- Iva Sorić Hosman
- Department of Pediatrics, General Hospital Zadar, Zadar, Croatia
| | - Andrea Cvitković Roić
- Department of Nephrology and Urology, Clinic for Pediatric Medicine Helena, Zagreb, Croatia
- Department of Pediatrics, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
- Department of Pediatrics, Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| | - Margareta Fištrek Prlić
- Department of Nephrology, Hypertension, Dialysis and Transplantation, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Ivana Vuković Brinar
- Department of Nephrology, Hypertension, Dialysis and Transplantation, University Hospital Centre Zagreb, Zagreb, Croatia
- Department of Internal Medicine, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Lovro Lamot
- Division of Nephrology, Dialysis and Transplantation, Department of Pediatrics, University Hospital Centre Zagreb, Zagreb, Croatia
- Department of Pediatrics, School of Medicine, University of Zagreb, Zagreb, Croatia
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3
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Le D, Chen J, Shlipak MG, Ix JH, Sarnak MJ, Gutierrez OM, Schelling JR, Bonventre JV, Sabbisetti VS, Schrauben SJ, Coca SG, Kimmel PL, Vasan RS, Grams ME, Parikh C, Coresh J, Rebholz CM. Plasma Biomarkers and Incident CKD Among Individuals Without Diabetes. Kidney Med 2023; 5:100719. [PMID: 37841418 PMCID: PMC10568645 DOI: 10.1016/j.xkme.2023.100719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023] Open
Abstract
Rationale & Objective Biomarkers of kidney disease progression have been identified in individuals with diabetes and underlying chronic kidney disease (CKD). Whether or not these markers are associated with the development of CKD in a general population without diabetes or CKD is not well established. Study Design Prospective observational cohort. Setting & Participants In the Atherosclerosis Risk in Communities) study, 948 participants were studied. Exposures The baseline plasma biomarkers of kidney injury molecule-1 (KIM-1), monocyte chemoattractant protein-1 (MCP-1), soluble urokinase plasminogen activator receptor (suPAR), tumor necrosis factor receptor 1 (TNFR-1), tumor necrosis factor receptor 2 (TNFR-2), and human cartilage glycoprotein-39 (YKL-40) measured in 1996-1998. Outcome Incident CKD after 15 years of follow-up defined as ≥40% estimated glomerular filtration rate decline to <60 mL/min/1.73 m2 or dialysis dependence through United States Renal Data System linkage. Analytical Approach Logistic regression and C statistics. Results There were 523 cases of incident CKD. Compared with a random sample of 425 controls, there were greater odds of incident CKD per 2-fold higher concentration of KIM-1 (OR, 1.49; 95% CI, 1.25-1.78), suPAR (OR, 2.57; 95% CI, 1.74-3.84), TNFR-1 (OR, 2.20; 95% CI, 1.58-3.09), TNFR-2 (OR, 2.03; 95% CI, 1.37-3.04). After adjustment for all biomarkers, KIM-1 (OR, 1.42; 95% CI, 1.19-1.71), and suPAR (OR, 1.86; 95% CI, 1.18-2.92) remained associated with incident CKD. Compared with traditional risk factors, the addition of all 6 biomarkers improved the C statistic from 0.695-0.731 (P < 0.01) and using the observed risk of 12% for incident CKD, the predicted risk gradient changed from 5%-40% (for the 1st-5th quintile) to 4%-44%. Limitations Biomarkers and creatinine were measured at one time point. Conclusions Higher levels of KIM-1, suPAR, TNFR-1, and TNFR-2 were associated with higher odds of incident CKD among individuals without diabetes. Plain-Language Summary For people with diabetes or kidney disease, several biomarkers have been shown to be associated with worsening kidney disease. Whether these biomarkers have prognostic significance in people without diabetes or kidney disease is less studied. Using the Atherosclerosis Risk in Communities study, we followed individuals without diabetes or kidney disease for an average of 15 years after biomarker measurement to see if these biomarkers were associated with the development of kidney disease. We found that elevated levels of KIM-1, suPAR, TNFR-1, and TNFR-2 were associated with the development of kidney disease. These biomarkers may help identify individuals who would benefit from interventions to prevent the development of kidney disease.
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Affiliation(s)
- Dustin Le
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Jingsha Chen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Michael G. Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California; Division of General Internal Medicine, San Francisco Veterans Affairs Medical Center, San Francisco, California
| | - Joachim H. Ix
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, California; Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California: Kidney Research Innovation Hub of San Diego, San Diego, California
| | - Mark J. Sarnak
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA
| | - Orlando M. Gutierrez
- Division of Nephrology, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Jeffrey R. Schelling
- Department of Physiology and Biophysics and Medicine, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Joseph V. Bonventre
- Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Venkata S. Sabbisetti
- Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sarah J. Schrauben
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Steven G. Coca
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Paul L. Kimmel
- Division of Kidney Urologic and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Ramachandran S. Vasan
- Framingham Heart Study of the National Heart, Lung, and Blood Institute and Boston University School of Medicine, Framingham, MA
| | - Morgan E. Grams
- Division of Precision Medicine, Department of Medicine, New York University, NY
| | - Chirag Parikh
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Casey M. Rebholz
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Chronic Kidney Disease Biomarkers Consortium
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California; Division of General Internal Medicine, San Francisco Veterans Affairs Medical Center, San Francisco, California
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, California; Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California: Kidney Research Innovation Hub of San Diego, San Diego, California
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA
- Division of Nephrology, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL
- Department of Physiology and Biophysics and Medicine, Case Western Reserve University School of Medicine, Cleveland, OH
- Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of Kidney Urologic and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
- Framingham Heart Study of the National Heart, Lung, and Blood Institute and Boston University School of Medicine, Framingham, MA
- Division of Precision Medicine, Department of Medicine, New York University, NY
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Yu ASL, Landsittel DP. Biomarkers in Polycystic Kidney Disease: Are We There? ADVANCES IN KIDNEY DISEASE AND HEALTH 2023; 30:285-293. [PMID: 37088529 DOI: 10.1053/j.akdh.2022.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 04/25/2023]
Abstract
This article describes the use of prognostic, predictive, and response biomarkers that have been developed for autosomal dominant polycystic kidney disease and their use in clinical care or drug development. We focus on biochemical markers that can be assayed in patients' blood and urine and their association with the outcome of decreased glomerular filtration rate. There have been several studies on prognostic biomarkers. The most promising ones have been markers of tubular injury, inflammation, metabolism, or the vasopressin-urinary concentration axis. So far, none have been shown to be superior to kidney volume-based biomarkers. Several biomarkers are additive to kidney volume and genotype in prognostic models, but there have been few direct comparisons between the biochemical markers to identify the best ones. Moreover, there is a lack of uniformity in the statistical tools used to assess and compare biomarkers. There have been few reports of predictive and response biomarkers, and none are suitable surrogate endpoints. The U.S. Food and Drug Administration's Biomarker Qualification Program provides a regulatory pathway to approve biomarkers for use across multiple drug-development programs.
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Affiliation(s)
- Alan S L Yu
- Division of Nephrology and Hypertension and the Jared Grantham Kidney Institute, University of Kansas Medical Center, Kansas City, KS.
| | - Douglas P Landsittel
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, IN
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5
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Huang J, Caliskan Guzelce E, Gholami SK, Gawelek KL, Mitchell RN, Pojoga LH, Romero JR, Williams GH, Adler GK. Effects of Mineralocorticoid Receptor Blockade and Statins on Kidney Injury Marker 1 (KIM-1) in Female Rats Receiving L-NAME and Angiotensin II. Int J Mol Sci 2023; 24:6500. [PMID: 37047470 PMCID: PMC10095483 DOI: 10.3390/ijms24076500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/21/2023] [Accepted: 03/23/2023] [Indexed: 03/31/2023] Open
Abstract
Kidney injury molecule-1 (KIM-1) is a biomarker of renal injury and a predictor of cardiovascular disease. Aldosterone, via activation of the mineralocorticoid receptor, is linked to cardiac and renal injury. However, the impact of mineralocorticoid receptor activation and blockade on KIM-1 is uncertain. We investigated whether renal KIM-1 is increased in a cardiorenal injury model induced by L-NAME/ANG II, and whether mineralocorticoid receptor blockade prevents the increase in KIM-1. Since statin use is associated with lower aldosterone, we also investigated whether administering eiSther a lipophilic statin (simvastatin) or a hydrophilic statin (pravastatin) prevents the increase in renal KIM-1. Female Wistar rats (8-10 week old), consuming a high salt diet (1.6% Na+), were randomized to the following conditions for 14 days: control; L-NAME (0.2 mg/mL in drinking water)/ANG II (225 ug/kg/day on days 12-14); L-NAME/ANG II + eplerenone (100 mg/kg/day p.o.); L-NAME/ANG II + pravastatin (20 mg/kg/day p.o.); L-NAME/ANG II + simvastatin (20 mg/kg/day p.o.). Groups treated with L-NAME/ANG II had significantly higher blood pressure, plasma and urine aldosterone, cardiac injury/stroke composite score, and renal KIM-1 than the control group. Both eplerenone and simvastatin reduced 24-h urinary KIM-1 (p = 0.0046, p = 0.031, respectively) and renal KIM-1 immunostaining (p = 0.004, p = 0.037, respectively). Eplerenone also reduced renal KIM-1 mRNA expression (p = 0.012) and cardiac injury/stroke composite score (p = 0.04). Pravastatin did not affect these damage markers. The 24-h urinary KIM-1, renal KIM-1 immunostaining, and renal KIM-1 mRNA expression correlated with cardiac injury/stroke composite score (p < 0.0001, Spearman ranked correlation = 0.69, 0.66, 0.59, respectively). In conclusion, L-NAME/ANG II increases renal KIM-1 and both eplerenone and simvastatin blunt this increase in renal KIM-1.
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Affiliation(s)
- Jiayan Huang
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ezgi Caliskan Guzelce
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Shadi K. Gholami
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Kara L. Gawelek
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - Richard N. Mitchell
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - Luminita H. Pojoga
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jose R. Romero
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Gordon H. Williams
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Gail K. Adler
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
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6
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Polycystic Kidney Disease Drug Development: A Conference Report. Kidney Med 2022; 5:100596. [PMID: 36698747 PMCID: PMC9867973 DOI: 10.1016/j.xkme.2022.100596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Autosomal dominant polycystic kidney disease (ADPKD) is part of a spectrum of inherited diseases that also includes autosomal recessive polycystic kidney disease, autosomal dominant polycystic liver disease, and an expanding group of recessively inherited disorders collectively termed hepatorenal fibrocystic disorders. ADPKD is the most common monogenic disorder frequently leading to chronic kidney failure with an estimated prevalence of 12 million people worldwide. Currently, only one drug (tolvaptan) has been approved by regulatory agencies as disease-modifying therapy for ADPKD, but, given its mechanism of action and side effect profile, the need for an improved therapy for ADPKD remains a priority. Although significant regulatory progress has been made, with qualification of total kidney volume as a prognostic enrichment biomarker and its later designation as a reasonably likely surrogate endpoint for progression of ADPKD within clinical trials, further work is needed to accelerate drug development efforts for all forms of PKD. In May 2021, the PKD Outcomes Consortium at the Critical Path Institute and the PKD Foundation organized a PKD Regulatory Summit to spur conversations among patients, industry, academic, and regulatory stakeholders regarding future development of tools and drugs for ADPKD and autosomal recessive polycystic kidney disease. This Special Report reviews the key points discussed during the summit and provides future direction related to PKD drug development tools.
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7
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Jdiaa SS, Husainat NM, Mansour R, Kalot MA, McGreal K, Chebib FT, Perrone RD, Yu A, Mustafa RA. A Systematic Review of Reported Outcomes in ADPKD Studies. Kidney Int Rep 2022; 7:1964-1979. [PMID: 36090492 PMCID: PMC9459055 DOI: 10.1016/j.ekir.2022.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/14/2022] [Accepted: 06/20/2022] [Indexed: 11/26/2022] Open
Abstract
Introduction Methods Results Conclusion
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8
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Hu C, Beebe K, Hernandez EJ, Lazaro-Guevara JM, Revelo MP, Huang Y, Maschek JA, Cox JE, Kohan DE. Multiomic identification of factors associated with progression to cystic kidney disease in mice with nephron Ift88 disruption. Am J Physiol Renal Physiol 2022; 322:F175-F192. [PMID: 34927449 PMCID: PMC8782669 DOI: 10.1152/ajprenal.00409.2021] [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: 11/05/2021] [Revised: 11/29/2021] [Accepted: 12/14/2021] [Indexed: 02/03/2023] Open
Abstract
Ift88 gene mutations cause primary cilia loss and polycystic kidney disease (PKD) in mice. Nephron intraflagellar transport protein 88 (Ift88) knockout (KO) at 2 mo postnatal does not affect renal histology at 4 mo postnatal and causes PKD only in males by 11 mo postnatal. To identify factors associated with PKD development, kidneys from 4-mo-old male and female control and Ift88 KO mice underwent transcriptomic, proteomic, Western blot, metabolomic, and lipidomic analyses. mRNAs involved in extracellular matrix (ECM) synthesis and degradation were selectively upregulated in male KO mice. Proteomic analysis was insufficiently sensitive to detect most ECM components, while Western blot analysis paradoxically revealed reduced fibronectin and collagen type I in male KO mice. Only male KO mice had upregulated mRNAs encoding fibrinogen subunits and receptors for vascular endothelial growth factor and platelet-derived growth factor; period 2, period 3, and nuclear receptor subfamily 1 group D member 1 clock mRNAs were selectively decreased in male KO mice. Proteomic, metabolomic, and lipidomic analyses detected a relative (vs. the same-sex control) decrease in factors involved in fatty acid β-oxidation in female KO mice, while increased or unchanged levels in male KO mice, including medium-chain acyl-CoA dehydrogenase, 3-hydroxybutyrate, and acylcarnitine. Three putative mRNA biomarkers of cystogenesis in male Ift88 KO mice (similar control levels between sexes and uniquely altered by KO in males) were identified, including high levels (fibrinogen α-chain and stromal cell-derived factor 2-like 1) and low levels (BTG3-associated nuclear protein) in male KO mice. These findings suggest that relative alterations in renal ECM metabolism, fatty acid β-oxidation, and other pathways precede cystogenesis in Ift88 KO mice. In addition, potential novel biomarkers of cystogenesis in Ift88 KO mice have been identified.NEW & NOTEWORTHY Male, but not female, mice with nephron intraflagellar transport protein 88 (Ift88) gene knockout (KO) develop polycystic kidneys by ∼1 yr postnatal. We performed multiomic analysis of precystic male and female Ift88 KO and control kidneys. Precystic male Ift88 KO mice exhibited differential alterations (vs. females) in mRNA, proteins, metabolites, and/or lipids associated with renal extracellular matrix metabolism, fatty acid β-oxidation, circadian rhythm, and other pathways. These findings suggest targets for evaluation in the pathogenesis of Ift88 KO polycystic kidneys.
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Affiliation(s)
- Chunyan Hu
- Division of Nephrology, University of Utah Health, Salt Lake City, Utah
| | - Katherine Beebe
- Molecular Medicine Program, University of Utah Health, Salt Lake City, Utah
| | - Edgar J Hernandez
- Department of Human Genetics, University of Utah Health, Salt Lake City, Utah
- Utah Center for Genetic Discovery, Salt Lake City, Utah
| | - Jose M Lazaro-Guevara
- Division of Nephrology, University of Utah Health, Salt Lake City, Utah
- Department of Human Genetics, University of Utah Health, Salt Lake City, Utah
| | - Monica P Revelo
- Deparment of Pathology, University of Utah Health, Salt Lake City, Utah
| | - Yufeng Huang
- Division of Nephrology, University of Utah Health, Salt Lake City, Utah
| | - J Alan Maschek
- Deparment of Pathology, University of Utah Health, Salt Lake City, Utah
| | - James E Cox
- Department of Biochemistry, University of Utah Health, Salt Lake City, Utah
| | - Donald E Kohan
- Division of Nephrology, University of Utah Health, Salt Lake City, Utah
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9
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Pastor-Soler NM, Li H, Pham J, Rivera D, Ho PY, Mancino V, Saitta B, Hallows KR. Metformin improves relevant disease parameters in an autosomal dominant polycystic kidney disease mouse model. Am J Physiol Renal Physiol 2022; 322:F27-F41. [PMID: 34806449 DOI: 10.1152/ajprenal.00298.2021] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 11/10/2021] [Indexed: 12/14/2022] Open
Abstract
Autosomal dominant polycystic kidney disease (ADPKD), caused by mutations in the polycystin 1 (PKD1) or polycystin 2 genes, presents with progressive development of kidney cysts and eventual end-stage kidney disease with limited treatment options. Previous work has shown that metformin reduces cyst growth in rapid ADPKD mouse models via inhibition of cystic fibrosis transmembrane conductance regulator-mediated fluid secretion, mammalian target of rapamycin, and cAMP pathways. The present study importantly tested the effectiveness of metformin as a therapy for ADPKD in a more clinically relevant Pkd1RC/RC mouse model, homozygous for the R3277C knockin point mutation in the Pkd1 gene. This mutation causes ADPKD in humans. Pkd1RC/RC male and female mice, which have a slow progression to end-stage kidney disease, received metformin (300 mg/kg/day in drinking water vs. water alone) from 3 to 9 or 12 mo of age. As previously reported, Pkd1RC/RC females had a more severe disease phenotype as compared with males. Metformin treatment reduced the ratio of total kidney weight-to-body weight relative to age-matched and sex-matched untreated controls at both 9 and 12 mo and reduced the cystic index in females at 9 mo. Metformin also increased glomerular filtration rate, lowered systolic blood pressure, improved anemia, and lowered blood urea nitrogen levels relative to controls in both sexes. Moreover, metformin reduced gene expression of key inflammatory markers and both gene and protein expression of kidney injury marker-1 and cyclin-dependent kinase-1 versus untreated controls. Altogether, these findings suggest several beneficial effects of metformin in this highly relevant slowly progressive ADPKD mouse model, which may help inform new ADPKD therapies in patients.NEW & NOTEWORTHY Metformin treatment improved ADPKD disease severity in a relevant, slowly progressive ADPKD mouse model that recapitulates a PKD-associated PKD1 mutation. Relative to controls, metformin reduced kidney weight/body weight, cystic index and BUN levels, while improving GFR, blood pressure and anemia. Metformin also reduced key inflammatory and injury markers, along with cell proliferation markers. These findings suggest several beneficial effects of metformin in this ADPKD mouse model, which may help inform new ADPKD therapies in patients.
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MESH Headings
- Animals
- Cell Proliferation/drug effects
- Disease Models, Animal
- Disease Progression
- Female
- Genetic Predisposition to Disease
- Glomerular Filtration Rate/drug effects
- Inflammation Mediators/metabolism
- Kidney/drug effects
- Kidney/metabolism
- Kidney/pathology
- Kidney/physiopathology
- Kidney Failure, Chronic/metabolism
- Kidney Failure, Chronic/pathology
- Kidney Failure, Chronic/physiopathology
- Kidney Failure, Chronic/prevention & control
- Male
- Metformin/pharmacology
- Mice, 129 Strain
- Mice, Inbred C57BL
- Mice, Transgenic
- Mutation
- Polycystic Kidney, Autosomal Dominant/drug therapy
- Polycystic Kidney, Autosomal Dominant/metabolism
- Polycystic Kidney, Autosomal Dominant/pathology
- Polycystic Kidney, Autosomal Dominant/physiopathology
- Renal Agents/pharmacology
- TRPP Cation Channels/genetics
- Time Factors
- Mice
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Affiliation(s)
- Núria M Pastor-Soler
- Division of Nephrology and Hypertension, Department of Medicine and USC/UKRO Kidney Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Hui Li
- Division of Nephrology and Hypertension, Department of Medicine and USC/UKRO Kidney Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jessica Pham
- Division of Nephrology and Hypertension, Department of Medicine and USC/UKRO Kidney Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Daniel Rivera
- Division of Nephrology and Hypertension, Department of Medicine and USC/UKRO Kidney Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Pei-Yin Ho
- Division of Nephrology and Hypertension, Department of Medicine and USC/UKRO Kidney Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Valeria Mancino
- Division of Nephrology and Hypertension, Department of Medicine and USC/UKRO Kidney Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Biagio Saitta
- Division of Nephrology and Hypertension, Department of Medicine and USC/UKRO Kidney Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Kenneth R Hallows
- Division of Nephrology and Hypertension, Department of Medicine and USC/UKRO Kidney Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California
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