A microRNA Approach to Discriminate Cortical Low Bone Turnover in Renal Osteodystrophy

Thomas L Nickolas, Neal Chen, Donald J McMahon, David Dempster, Hua Zhou, James Dominguez 2nd, Maria A Aponte, Joshua Sung, Pieter Evenepoel, Patrick C D'Haese, Fabrice Mac-Way, Rosa Moyses, Sharon Moe, Thomas L Nickolas, Neal Chen, Donald J McMahon, David Dempster, Hua Zhou, James Dominguez 2nd, Maria A Aponte, Joshua Sung, Pieter Evenepoel, Patrick C D'Haese, Fabrice Mac-Way, Rosa Moyses, Sharon Moe

Abstract

A main obstacle to diagnose and manage renal osteodystrophy (ROD) is the identification of intracortical bone turnover type (low, normal, high). The gold standard, tetracycline-labeled transiliac crest bone biopsy, is impractical to obtain in most patients. The Kidney Disease Improving Global Outcomes Guidelines recommend PTH and bone-specific alkaline phosphatase (BSAP) for the diagnosis of turnover type. However, PTH and BSAP have insufficient diagnostic accuracy to differentiate low from non-low turnover and were validated for trabecular turnover. We hypothesized that four circulating microRNAs (miRNAs) that regulate osteoblast (miRNA-30b, 30c, 125b) and osteoclast development (miRNA-155) would provide superior discrimination of low from non-low turnover than biomarkers in clinical use. In 23 patients with CKD 3-5D, we obtained tetracycline-labeled transiliac crest bone biopsy and measured circulating levels of intact PTH, BSAP, and miRNA-30b, 30c, 125b, and 155. Spearman correlations assessed relationships between miRNAs and histomorphometry and PTH and BSAP. Diagnostic test characteristics for discriminating low from non-low intracortical turnover were determined by receiver operator curve analysis; areas under the curve (AUC) were compared by χ2 test. In CKD rat models of low and high turnover ROD, we performed histomorphometry and determined the expression of bone tissue miRNAs. Circulating miRNAs moderately correlated with bone formation rate and adjusted apposition rate at the endo- and intracortical envelopes (ρ = 0.43 to 0.51; p < 0.05). Discrimination of low versus non-low turnover was 0.866, 0.813, 0.813, and 0.723 for miRNA-30b, 30c, 125b, and 155, respectively, and 0.509 and 0.589 for PTH and BSAP, respectively. For all four miRNAs combined, the AUC was 0.929, which was superior to that of PTH and BSAP alone and together (p < 0.05). In CKD rats, bone tissue levels of the four miRNAs reflected the findings in human serum. These data suggest that a panel of circulating miRNAs provide accurate noninvasive identification of bone turnover in ROD. © 2020 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of American Society for Bone and Mineral Research.

Keywords: RENAL OSTEODYSTROPHY; microRNA.

© 2020 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of American Society for Bone and Mineral Research.

Figures

Figure 1
Figure 1
Quantification of miRNA‐30b (A), 30c (B), 125b (C), and 155 (D) expression in bone tissue from rats with high and low turnover renal osteodystrophy. Data are shown as mean ± SD (n = 8 to 10 rats each group). *p < 0.05 CKD versus CKD/Ca or CKD/Zol.

References

    1. Nickolas TL, Stein EM, Dworakowski E, et al. Rapid cortical bone loss in patients with chronic kidney disease. J Bone Miner Res. 2013;28:1811–20.
    1. Parfitt AM. A structural approach to renal bone disease. J Bone Miner Res. 1998;13:1213–20.
    1. Malluche HH, Mawad HW, Monier‐Faugere MC. Renal osteodystrophy in the first decade of the new millennium: analysis of 630 bone biopsies in black and white patients. J Bone Miner Res. 2011;26:1368–76.
    1. Carvalho C, Magalhaes J, Neto R, et al. Cortical bone analysis in a predialysis population: a comparison with a dialysis population. J Bone Miner Metab. 2017;35(5):513–21.
    1. Adragao T, Herberth J, Monier‐Faugere MC, et al. Femoral bone mineral density reflects histologically determined cortical bone volume in hemodialysis patients. Osteoporos Int. 2010;21:619–25.
    1. Sharma AK, Toussaint ND, Masterson R, et al. Deterioration of cortical bone microarchitecture: critical component of renal osteodystrophy evaluation. Am J Nephrol. 2018;47:376–84.
    1. Wagner J, Jhaveri KD, Rosen L, Sunday S, Mathew AT, Fishbane S. Increased bone fractures among elderly United States hemodialysis patients. Nephrol Dial Transplant. 2014;29:146–51.
    1. Denburg M, Nickolas TL. Declining hip fracture rates in dialysis patients: is this winning the war? Am J Kidney Dis. 2018;71:154–6.
    1. Moe S, Drueke T, Cunningham J, et al. Definition, evaluation, and classification of renal osteodystrophy: a position statement from kidney disease: improving global outcomes (KDIGO). Kidney Int. 2006;69:1945–53.
    1. Sprague SM, Bellorin‐Font E, Jorgetti V, et al. Diagnostic accuracy of bone turnover markers and bone histology in patients with CKD treated by dialysis. Am J Kidney Dis. 2016;67(4):559–66.
    1. Bervoets AR, Spasovski GB, Behets GJ, et al. Useful biochemical markers for diagnosing renal osteodystrophy in predialysis end‐stage renal failure patients. Am J Kidney Dis. 2003;41:997–1007.
    1. Spasovski GB, Bervoets AR, Behets GJ, et al. Spectrum of renal bone disease in end‐stage renal failure patients not yet on dialysis. Nephrol Dial Transplant. 2003;18:1159–66.
    1. Chapter 1: introduction and definition of CKD‐MBD and the development of the guideline statements. Kidney Int. 2009;76:S3–8.
    1. Bakhshandeh B, Soleimani M, Hafizi M, Paylakhi SH, Ghaemi N. MicroRNA signature associated with osteogenic lineage commitment. Mol Biol Rep. 2012;39:7569–81.
    1. Eguchi T, Watanabe K, Hara ES, Ono M, Kuboki T, Calderwood SK. OstemiR: a novel panel of microRNA biomarkers in osteoblastic and osteocytic differentiation from mesencymal stem cells. PLoS One. 2013;8:e58796.
    1. Hu R, Liu W, Li H, et al. A Runx2/miR‐3960/miR‐2861 regulatory feedback loop during mouse osteoblast differentiation. J Biol Chem. 2011;286:12328–39.
    1. Lian JB, Stein GS, van Wijnen AJ, et al. MicroRNA control of bone formation and homeostasis. Nat Rev Endocrinol. 2012;8:212–27.
    1. van Wijnen AJ, van de Peppel J, van Leeuwen JP, et al. MicroRNA functions in osteogenesis and dysfunctions in osteoporosis. Curr Osteoporos Rep. 2013;11:72–82.
    1. Kagiya T, Nakamura S. Expression profiling of microRNAs in RAW264.7 cells treated with a combination of tumor necrosis factor alpha and RANKL during osteoclast differentiation. J Periodontal Res. 2013;48:373–85.
    1. Feichtinger X, Muschitz C, Heimel P, et al. Bone‐related circulating microRNAs miR‐29b‐3p, miR‐550a‐3p, and miR‐324‐3p and their association to bone microstructure and histomorphometry. Sci Rep. 2018;8:4867.
    1. An JH, Ohn JH, Song JA, et al. Changes of microRNA profile and microRNA‐mRNA regulatory network in bones of ovariectomized mice. J Bone Miner Res. 2014;29:644–56.
    1. Garmilla‐Ezquerra P, Sañudo C, Delgado‐Calle J, Pérez‐Nuñez MI, Sumillera M, Riancho JA. Analysis of the bone microRNome in osteoporotic fractures. Calcif Tissue Int. 2015;96:30–7.
    1. Seeliger C, Karpinski K, Haug AT, et al. Five freely circulating miRNAs and bone tissue miRNAs are associated with osteoporotic fractures. J Bone Miner Res. 2014;29:1718–28.
    1. Heilmeier U, Hackl M, Skalicky S, et al. Serum miRNA signatures are indicative of skeletal fractures in postmenopausal women with and without type 2 diabetes and influence osteogenic and adipogenic differentiation of adipose tissue‐derived mesenchymal stem cells in vitro. J Bone Miner Res. 2016;31:2173–92.
    1. Weilner S, Skalicky S, Salzer B, et al. Differentially circulating miRNAs after recent osteoporotic fractures can influence osteogenic differentiation. Bone. 2015;79:43–51.
    1. Jeong S, Oh JM, Oh KH, Kim IW. Differentially expressed miR‐3680‐5p is associated with parathyroid hormone regulation in peritoneal dialysis patients. PLoS One. 2017;12:e0170535.
    1. M'Baya‐Moutoula E, Louvet L, Metzinger‐Le Meuth V, Massy ZA, Metzinger L. High inorganic phosphate concentration inhibits osteoclastogenesis by modulating miR‐223. Biochim Biophys Acta. 1852;2015:2202–12.
    1. Balderman JA, Lee HY, Mahoney CE, et al. Bone morphogenetic protein‐2 decreases microRNA‐30b and microRNA‐30c to promote vascular smooth muscle cell calcification. J Am Heart Assoc. 2012;1:e003905.
    1. Zhang Y, Xie RL, Croce CM, et al. A program of microRNAs controls osteogenic lineage progression by targeting transcription factor Runx2. Proc Natl Acad Sci U S A. 2011;108:9863–8.
    1. Wang H, Xie Z, Hou T, et al. MiR‐125b regulates the osteogenic differentiation of human mesenchymal stem cells by targeting BMPR1b. Cell Physiol Biochem. 2017;41:530–42.
    1. Zhao H, Zhang J, Shao H, et al. Transforming growth factor beta1/Smad4 signaling affects osteoclast differentiation via regulation of miR‐155 expression. Mol Cells. 2017;40:211–21.
    1. Zhang J, Zhao H, Chen J, et al. Interferon‐beta‐induced miR‐155 inhibits osteoclast differentiation by targeting SOCS1 and MITF. FEBS Lett. 2012;586:3255–62.
    1. Nickolas TL, Cremers S, Zhang A, et al. Discriminants of prevalent fractures in chronic kidney disease. J Am Soc Nephrol. 2011;22:1560–72.
    1. Nickolas TL, Stein E, Cohen A, et al. Bone mass and microarchitecture in CKD patients with fracture. J Am Soc Nephrol. 2010;21:1371–80.
    1. Coresh J, Astor B, McQuillan G, et al. Calibration and random variation of the serum creatinine assay as critical elements of using equations to estimate glomerular filtration rate. Am J Kidney Dis. 2002;39:920–9.
    1. Chen NX, Kiattisunthorn K, O'Neill KD, et al. Decreased microRNA is involved in the vascular remodeling abnormalities in chronic kidney disease (CKD). PLoS One. 2013;8:e64558.
    1. Dempster DW, Compston JE, Drezner MK, et al. Standardized nomenclature, symbols, and units for bone histomorphometry: a 2012 update of the report of the ASBMR Histomorphometry Nomenclature Committee. J Bone Miner Res. 2013;28:2–17.
    1. KDIGO clinical practice guideline for the diagnosis, evaluation, prevention, and treatment of chronic kidney disease‐mineral and bone disorder (CKD‐MBD). Kidney Int. 2009;113(Suppl):S1–130.
    1. Moe SM, Chen NX, Seifert MF, et al. A rat model of chronic kidney disease‐mineral bone disorder. Kidney Int. 2009;75:176–84.
    1. Cowley BD Jr, Gudapaty S, Kraybill AL, et al. Autosomal‐dominant polycystic kidney disease in the rat. Kidney Int. 1993;43:522–34.
    1. Allen MR, Chen NX, Gattone VH 2nd, et al. Skeletal effects of zoledronic acid in an animal model of chronic kidney disease. Osteoporos Int. 2013;24:1471–81.
    1. Moe SM, Chen NX, Newman CL, et al. A comparison of calcium to zoledronic acid for improvement of cortical bone in an animal model of CKD. J Bone Miner Res. 2014;29:902–10.
    1. Moe SM, Chen NX, Newman CL, et al. Anti‐sclerostin antibody treatment in a rat model of progressive renal osteodystrophy. J Bone Miner Res. 2015;30:499–509.
    1. Pistoia W, van Rietbergen B, Ruegsegger P. Mechanical consequences of different scenarios for simulated bone atrophy and recovery in the distal radius. Bone. 2003;33:937–45.
    1. Bala Y, Zebaze R, Seeman E. Role of cortical bone in bone fragility. Curr Opin Rheumatol. 2015;27:406–13.
    1. Cooper DM, Kawalilak CE, Harrison K, Johnston BD, Johnston JD. Cortical bone porosity: what is it, why is it important, and how can we detect it? Curr Osteoporos Rep. 2016;14:187–98.
    1. Ketteler M, Block GA, Evenepoel P, et al. Executive summary of the 2017 KDIGO chronic kidney disease‐mineral and bone disorder (CKD‐MBD) guideline update: what's changed and why it matters. Kidney Int. 2017;92:26–36.
    1. Coco M, Rush H. Increased incidence of hip fractures in dialysis patients with low serum parathyroid hormone. Am J Kidney Dis. 2000;36:1115–21.
    1. London GM, Marchais SJ, Guerin AP, Boutouyrie P, Metivier F, de Vernejoul MC. Association of bone activity, calcium load, aortic stiffness, and calcifications in ESRD. J Am Soc Nephrol. 2008;19:1827–35.
    1. Fusaro M, Tripepi G, Noale M, et al. High prevalence of vertebral fractures assessed by quantitative morphometry in hemodialysis patients, strongly associated with vascular calcifications. Calcif Tissue Int. 2013;93:39–47.
    1. Behets GJ, Spasovski G, Sterling LR, et al. Bone histomorphometry before and after long‐term treatment with cinacalcet in dialysis patients with secondary hyperparathyroidism. Kidney Int. 2015;87:846–56.
    1. Lehmann G, Ott U, Kaemmerer D, Schuetze J, Wolf G. Bone histomorphometry and biochemical markers of bone turnover in patients with chronic kidney disease stages 3–5. Clin Nephrol. 2008;70:296–305.
    1. Silva BC, Bilezikian JP. Parathyroid hormone: anabolic and catabolic actions on the skeleton. Curr Opin Pharmacol. 2015;22:41–50.
    1. Rhee Y, Allen MR, Condon K, et al. PTH receptor signaling in osteocytes governs periosteal bone formation and intracortical remodeling. J Bone Miner Res. 2011;26:1035–46.
    1. Feurer E, Kan C, Croset M, Sornay‐Rendu E, Chapurlat R. Lack of association between select circulating miRNAs and bone mass, turnover, and fractures: data from the OFELY cohort. J Bone Miner Res. 2019;34:1074–85.
    1. Anastasilakis AD, Makras P, Pikilidou M, et al. Changes of circulating microRNAs in response to treatment with teriparatide or denosumab in postmenopausal osteoporosis. J Clin Endocrinol Metab. 2018;103:1206–13.
    1. Lin XJ, Chong Y, Guo ZW, et al. A serum microRNA classifier for early detection of hepatocellular carcinoma: a multicentre, retrospective, longitudinal biomarker identification study with a nested case‐control study. Lancet Oncol. 2015;16:804–15.

Source: PubMed

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