FREE soluble RANKL HS ELISA | BI-20462
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Method
Sandwich ELISA, HRP/TMB, 12×8-well detachable strips
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Sample type
Serum, heparın plasma
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Sample volume
150 µl / well
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Assay time
2 h / overnight / 1 h / 30 min
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Sensitivity
0.01 pmol/l (= 0.2 pg/ml)
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Standard range
0 – 2 pmol/l (= 0 – 40 pg/ml)
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Conversion factor
1 pmol/l = 20 pg/ml (MW: 20 kDa; monomer)
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Specificity
Endogenous and recombinant human free soluble RANKL.
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Precision
In-between-run (n=12): ≤ 3 % CV
Within-run (n=5): ≤ 5 % CV
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Cross-reactivity
The sequence homology to various primates is >95%. It is likely that the assay can be used for these species.
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Validation Data
See validation data tab for: precision, accuracy, dilution linearity, values for healthy donors, etc
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Use
Research use only
RANKL ELISA Product Overview
The human RANKL ELISA kit is an overnight, 96-well sandwich ELISA for the quantitative determination of free soluble RANKL in serum and heparın plasma.
RANKL ELISA Assay Principle
The Biomedica RANKL ELISA is a sandwich enzyme immunoassay for the quantitative determination of free soluble RANKL in human serum and heparın plasma samples.
The figure below explains the principle of the RANKL human ELISA:
Target binding partner: recombinant human Osteoprotegerin (OPG)
Detection Antibody: polyclonal goat anti-human sRANKL
Target Antigen: free soluble human RANKL
In a first step, wells which are pre-coated with recombinant Osteoprotegerin (OPG), RANKL’s interaction partner, are prewashed to ensure optimal sensitivity. Thereafter, assay buffer is pipetted into the wells of the microtiter strips followed by the addition of standard/control/sample. Soluble RANKL present in the standard/control/sample binds to the pre-coated OPG in the well. After incubation, a the plate is washed to remove all non-specifically bound material. In a next step, biotinylated detection antibody (polyclonal goat anti-human sRANKL) is pipetted into the wells and reacts with the sRANKL present in the sample, forming a sandwich. Next, all unbound antibody is removed during another washing cycle. In the following step, the conjugate (streptavidin-polyHRP) is added and reacts with the detection antibody. After a final washing step, the substrate (TMB, tetramethylbenzidine) is pipetted into the wells. The enzyme-catalyzed color change of the substrate is directly proportional to the amount of soluble RANKL present in the sample. This color change is detectable with a standard microtiter plate reader. A dose response curve of the absorbance (optical density, OD at 450 nm) versus standard concentration is generated, using the values obtained from the standards. The concentration of soluble RANKL in the sample is determined directly from the dose response curve.
RANKL ELISA Typical Standard Curve
The figure below shows a typical standard curve for the human RANKL ELISA kit. The immunoassay is calibrated against recombinant RANKL peptide:
RANKL ELISA Kit Components
Contents |
Description |
Quantity |
PLATE |
Detachable microtiter strips pre-coated with recombinant human OPG in a strip holder, packed in aluminum bag with desiccant |
12 x 8 tests |
WASHBUF |
Wash buffer concentrate 20 x, natural cap |
1 x 50 ml |
STD |
Standards 1-7 (0; 0.0625; 0.125; 0.25; 0.5; 1; 2 pmol/l), lyophilized, white caps |
7 vials |
CTRL |
Control A and B, recombinant human RANKL in human serum, yellow caps, lyophilized, exact concentrations see label |
2 vials |
ASYBUF |
Assay buffer, red cap, ready to use |
1 x 7 ml |
AB |
Polyclonal goat anti-human sRANKL antibody - biotin labeled, green cap, ready to use |
1 x 22 ml |
CONJ |
Conjugate (streptavidin-polyHRP), amber cap, ready to use |
1 x 22 ml |
SUB |
Substrate (TMB solution), amber bottle, blue cap, ready to use |
1 x 22 ml |
STOP |
Stop solution, white cap, ready to use |
1 x 7 ml |
Storage instructions: All reagents of the free soluble RANKL ELISA kit are stable at 4°C (2-8°C) until the expiry date stated on the label of each reagent.
Sample Collection & Storage
Serum and heparın plasma are suitable for use in this human RANKL ELISA. Do not change sample type during studies. We recommend duplicate measurements for all samples, standards and controls. The sample collection and storage conditions listed are intended as general guidelines.
Serum & Plasma
Collect venous blood samples in standardized serum separator tubes (SST) or standardized blood collection tubes using EDTA, heparın or citrate as an anticoagulant. For serum samples, allow samples to clot for 30 minutes at room temperature. Perform separation by centrifugation according to the tube manufacturer’s instructions for use. Assay the acquired samples immediately or aliquot and store at -25°C or lower. Lipemic or haemolyzed samples may give erroneous results. Samples should undergo three freeze-thaw cycles only.
Reagent Preparation
Wash Buffer
1. |
Bring the WASHBUF concentrate to room temperature. Crystals in the buffer concentrate will dissolve at room temperature. |
2. |
Dilute the WASHBUF concentrate 1:20, e.g. 50 ml WASHBUF + 950 ml distilled or deionized water. Only use diluted WASHBUF when performing the assay. |
The diluted WASHBUF is stable up to one month at 4°C (2-8°C).
Standards & Controls
1. |
Pipette 700 µl of distilled or deionized water into each standard (STD) and control (CTRL) vial. The exact concentration is printed on the label of each vial. |
2. |
Leave at room temperature (18-26°C) for 15 min. Vortex gently. |
Reconstituted STDs and CTRLs are stable at -25°C or lower until expiry date stated on the label. STDs and CTRLs are stable for three freeze-thaw cycles.
Sample Preparation
Bring samples to room temperature and mix samples gently to ensure the samples are homogenous. We recommend duplicate measurements for all samples.
Samples for which the OD value exceeds the highest point of the standard range can be diluted with a serum sample with a low OD value.
RANKL ELISA Assay Protocol
Read the entire protocol before beginning the assay.
1. |
Bring reagents and samples to room temperature (18-26°C). |
2. |
Mark position for STD/CTRL/SAMPLE (standard/control/sample) on the protocol sheet. |
3. |
Take microtiter strips out of the aluminum bag. Store unused strips with desiccant at 4°C (2-8°C) in the aluminum bag. Strips are stable until the expiry date stated on the label. |
4. |
Prewash wells with 300 µl diluted WASHBUF (wash buffer) five times. Remove remaining WASHBUF by strongly tapping plate against paper towel after the last wash. |
5. |
Pipette 50 µl ASYBUF (assay buffer, natural cap) into each well. |
6. |
Add 150 µl STD/CTRL/SAMPLE in duplicates into the respective wells. |
7. |
Cover the plate tightly and incubate for 2 hours at room temperature (18-26°C). |
8. |
Aspirate and wash wells 5 x with 300 µl diluted WASHBUF. After the final wash, remove the remaining WASHBUF by strongly tapping the plate against a paper towel. |
9. |
Add 200 µl AB (biotinylated anti-sRANKL antibody, green cap) into each well. Swirl gently. |
10. |
Cover tightly and incubate at 4°C (2-8°C) overnight (18-24 hours). |
11. |
Aspirate and wash wells 5 x with 300 µl diluted WASHBUF. After the final wash, remove the remaining WASHBUF by strongly tapping plate against a paper towel. |
12. |
Add 200 µl CONJ (conjugate, amber cap) into each well, swirl gently. |
13. |
Cover tightly and incubate for 1 hour at room temperature in the dark. |
14. |
Aspirate and wash wells 5 x with 300 µl diluted WASHBUF. After the final wash, remove remaining WASHBUF by strongly tapping plate against a paper towel. |
15. |
Add 200 µl SUB (substrate, blue cap) into each well. |
16. |
Incubate for 30 min at room temperature in the dark. |
17. |
Add 50 µl STOP (stop solution, white cap) into each well. |
18. |
Measure absorbance immediately at 450 nm with reference 630 nm, if available. |
Calculation of Results
Read the optical density (OD) of all wells on a plate reader using 450 nm wavelength (reference wavelength 630 nm). Construct a standard curve from the absorbance read-outs of the standards using commercially available software capable of generating a four-parameter logistic (4-PL) fit. Alternatively, plot the standards’ concentration on the x-axis against the mean absorbance for each standard on the y-axis and draw a best fit curve through the points on the graph. Curve fitting algorithms other than 4-PL have not been validated and will need to be evaluated by the user.
Obtain sample concentrations from the standard curve. If required, pmol/l can be converted to pg/ml by applying a conversion factor (sRANKL: 1 pg/ml = 0.05 pmol/l (MW: 20 kDa; monomer) or 1 pmol= 20 pg/ml). Respective dilution factors have to be considered when calculating the final concentration of the sample.
The quality control protocol supplied with the kit shows the results of the final release QC for each kit lot. Data for optical density obtained by customers may differ due to various influences including the normal decrease of signal intensity throughout shelf life. However, this does not affect validity of results as long as an OD of 1.50 or more is obtained for the standard with the highest concentration and the values of the CTRLs are within the target range (see labels).
RANKL Protein
RANKL, the receptor activator of nuclear factor kappa B ligand, a member of the tumor necrosis factor (TNF) family (http://www.uniprot.org/uniprot/O14788), is the main stimulatory factor for the formation of mature osteoclasts and is essential for their survival. RANKL activates its specific receptor RANK, located on osteoclasts and dendritic cells. The effects are counteracted by Osteoprotegerin (OPG) which acts as an endogenous soluble receptor antagonist (see: OPG ELISA, Cat.No. BI-20403).
The major source of RANKL are osteocytes, former osteoblasts that become embedded within the mineralized bone matrix. RANKL is a ~35 kD type II transmembrane-type protein and is cleaved to release a soluble biologically active product that forms a homotrimer.
Molecular weight |
20 kDa (soluble form) |
Cellular localisation |
Intracellular, membrane, secreted |
Post-translational modifications |
Cleavage, glycosylation |
Sequence similarities |
Tumor necrosis factor (TNF) cytokine family |
Alternative names |
TNF Superfamily Member, Tumor Necrosis Factor (Ligand) Superfamily, Member TNF-Related Activation-Induced Cytokine, Osteoclast Differentiation Factor, Osteoprotegerin Ligand, TRANCE, RANKL, OPGL, ODF, Receptor Activator Of Nuclear Factor Kappa B Ligand, Tumor Necrosis Factor Ligand Superfamily Member, Tumor Necrosis Factor Superfamily Member, Tumor Necrosis Factor Ligand 6B, CD254 Antigen, HRANKL, TNLG6B, CD254, OPTB2, SOdf |
Entrez/NCBI ID |
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Genecards |
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OMIM |
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PDB |
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Pfam |
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Protein Atlas |
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Uniprot ID |
RANKL Function
RANKL and its specific receptor RANK are not only key regulators of bone remodeling but also play an essential role in immunobiology, e.g. lymph node formation, establishment of the thymic microenvironment, mammary gland development during pregnancy, bone metastasis in cancer and sex-hormone, progestin-driven breast cancer, thermoregulation, and finally in the development of type 2 diabetes mellitus (Danks and Takayanagi, 2013; Gonzalez-Suarez et al., 2010; Hanada et al., 2010, 2009; Kiechl et al., 2016; Nakashima et al., 2011; Nelson et al., 2012; Schramek et al., 2010).
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Cancer
Malignant solid tumors (de Groot et al., 2018)
Breast cancer (Kiechl et al., 2016, 2016; Lüftner et al., 2018; Rachner et al., 2018; Rao et al., 2018; Sarink et al., 2017; Sigl et al., 2016)
Multiple myeloma (Raje et al., 2019; Terpos et al., 2017)
Literature
Role of the RANK/RANKL Pathway in Multiple Myeloma.
Raje, N.S., Bhatta, S., Terpos, E., 2019. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 25, 12–20.
PMID: 30093448
The role of sclerostin/dickkopf-1 and receptor activator of nuclear factor kB ligand/osteoprotegerin signalling pathways in the development of osteoporosis in patients with haemophilia A and B: A cross-sectional study.
Anagnostis, P., Vakalopoulou, S., Christoulas, D., Paschou, S.A., Papatheodorou, A., Garipidou, V., Kokkoris, P., Terpos, E., 2018. Haemophilia 24, 316–322.
Monocytes from male patients with ankylosing spondylitis display decreased osteoclastogenesis and decreased RANKL/OPG ratio.
Caparbo, V.F., Saad, C.G.S., Moraes, J.C., de Brum-Fernandes, A.J., Pereira, R.M.R., 2018. Osteoporos. Int. J. Establ. Result Coop. Eur. Found. Osteoporos. Natl. Osteoporos. Found. USA.
PMID: 30006885
Glucocorticoid-induced osteoporosis: an update.
Compston, J., 2018. Endocrine 61, 7–16.
PMID: 29691807; PMCID: PMC5997116
The anti-tumor effect of RANKL inhibition in malignant solid tumors - A systematic review.
de Groot, A.F., Appelman-Dijkstra, N.M., van der Burg, S.H., Kroep, J.R., 2018. Cancer Treat. Rev. 62, 18–28.
PMID: 29154022
Neuropeptide B and neuropeptide W as new serum predictors of nutritional status and of clinical outcomes in pediatric patients with type 1 diabetes mellitus treated with the use of pens or insulın pumps.
Grzelak, T., Wedrychowicz, A., Grupinska, J., Pelczynska, M., Sperling, M., Mikulska, A.A., Naughton, V., Czyzewska, K., 2018. Arch. Med. Sci. 14.
Bone mineral density and markers of bone turnover and inflammation in diabetes patients with or without a Charcot foot: An 8.5-year prospective case-control study.
Jansen, R.B., Christensen, T.M., Bülow, J., Rørdam, L., Holstein, P.E., Jørgensen, N.R., Svendsen, O.L., 2018. J. Diabetes Complications 32, 164–170.
PMID: 29196119
Therapeutic approaches for protecting bone health in patients with breast cancer.
Lüftner, D., Niepel, D., Steger, G.G., 2018. Breast Edinb. Scotl. 37, 28–35.
PMID: 29073497
Association between non-alcoholic fatty liver disease and bone turnover biomarkers in post-menopausal women with type 2 diabetes.
Mantovani, A., Sani, E., Fassio, A., Colecchia, A., Viapiana, O., Gatti, D., Idolazzi, L., Rossini, M., Salvagno, G., Lippi, G., Zoppini, G., Byrne, C.D., Bonora, E., Targher, G., 2018. Diabetes Metab.
PMID: 30315891
Prognostic value of RANKL/OPG serum levels and disseminated tumor cells in non-metastatic breast cancer.
Rachner, T.D., Kasimir-Bauer, S., Göbel, A., Erdmann, K., Hoffmann, O., Browne, A.J., Wimberger, P., Rauner, M., Hofbauer, L.C., Kimmig, R., Bittner, A.-K., 2018. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res.
PMID: 30425091
RANKL and RANK: From Mammalian Physiology to Cancer Treatment.
Rao, S., Cronin, S.J.F., Sigl, V., Penninger, J.M., 2018. Trends Cell Biol. 28, 213–223.
PMID: 29241686
Mechanisms and therapeutic targets for bone damage in rheumatoid arthritis, in particular the RANK-RANKL system.
Tanaka, Y., Ohira, T., 2018. Curr. Opin. Pharmacol. 40, 110–119.
PMID: 29702364
Dеnosumab: targeting the RANKL pathway to treat rheumatoid arthritis.
Chiu, Y.G., Ritchlin, C.T., 2017. Expert Opin. Biol. Ther. 17, 119–128.
PMID: 27871200; PMCID: PMC5794005
Osteoprotegerin, RANKL, ADMA, and Fetuin-A serum levels in children with type I diabetes mellitus.
Chrysis, D., Efthymiadou, A., Mermigka, A., Kritikou, D., Spiliotis, B.E., 2017. Pediatr. Diabetes 18, 277–282.
PMID: 27028343
Ankylosing Spondylitis Patients Have Impaired Osteoclast Gene Expression in Circulating Osteoclast Precursors.
Perpétuo, I.P., Caetano-Lopes, J., Vieira-Sousa, E., Campanilho-Marques, R., Ponte, C., Canhão, H., Ainola, M., Fonseca, J.E., 2017. Front. Med. 4.
Circulating RANKL and RANKL/OPG and Breast Cancer Risk by ER and PR Subtype: Results from the EPIC Cohort.
Sarink, D., Schock, H., Johnson, T., Overvad, K., Holm, M., Tjønneland, A., Boutron-Ruault, M.-C., His, M., Kvaskoff, M., Boeing, H., Lagiou, P., Papatesta, E.-M., Trichopoulou, A., Palli, D., Pala, V., Mattiello, A., Tumino, R., Sacerdote, C., Bueno-de-Mesquita, H.B.A., van Gils, C.H., Peeters, P.H., Weiderpass, E., Agudo, A., Sánchez, M.-J., Chirlaque, M.-D., Ardanaz, E., Amiano, P., Khaw, K.T., Travis, R., Dossus, L., Gunter, M., Rinaldi, S., Merritt, M., Riboli, E., Kaaks, R., Fortner, R.T., 2017. Cancer Prev. Res. Phila. Pa 10, 525–534.
PMID: 28701332; PMCID: PMC5603271
Mechanisms of bone destruction in multiple myeloma.
Terpos, E., Christoulas, D., Gavriatopoulou, M., Dimopoulos, M.A., 2017. Eur. J. Cancer Care (Engl.) 26.
PMID: 28940410
Beyond Antibodies: B Cells and the OPG/RANK-RANKL Pathway in Health, Non-HIV Disease and HIV-Induced Bone Loss.
Titanji, K., 2017. Front. Immunol. 8, 1851.
PMID: 29312334; PMCID: PMC5743755
Vascular calcification in type-2 diabetes and cardiovascular disease: Integrative roles for OPG, RANKL and TRAIL.
Harper, E., Forde, H., Davenport, C., Rochfort, K.D., Smith, D., Cummins, P.M., 2016. Vascul. Pharmacol. 82, 30–40.
PMID: 26924459
Aberrant regulation of RANKL/OPG in women at high risk of developing breast cancer.
Kiechl, S., Schramek, D., Widschwendter, M., Fourkala, E.-O., Zaikin, A., Jones, A., Jaeger, B., Rack, B., Janni, W., Scholz, C., Willeit, J., Weger, S., Mayr, A., Teschendorff, A., Rosenthal, A., Fraser, L., Philpott, S., Dubeau, L., Keshtgar, M., Roylance, R., Jacobs, I.J., Menon, U., Schett, G., Penninger, J.M., 2016. Oncotarget 8, 3811–3825.
PMID: 28002811; PMCID: PMC5354797
Glucocorticoid Signaling and Bone Biology.
Komori, T., 2016. Horm. Metab. Res. Horm. Stoffwechselforschung Horm. Metab. 48, 755–763.
PMID: 27871116
Immunology of Osteoporosis: A Mini-Review.
Pietschmann, P., Mechtcheriakova, D., Meshcheryakova, A., Föger-Samwald, U., Ellinger, I., 2016. Gerontology 62, 128–137.
PMID: 26088283; PMCID: PMC4821368
Expression of osteoprotegerin and its ligands, RANKL and TRAIL, in rheumatoid arthritis.
Remuzgo-Martínez, S., Genre, F., López-Mejías, R., Ubilla, B., Mijares, V., Pina, T., Corrales, A., Blanco, R., Martín, J., Llorca, J., González-Gay, M.A., 2016. Sci. Rep. 6, 29713.
PMID: 27403809; PMCID: PMC4940734
RANKL/RANK: from bone loss to the prevention of breast cancer.
Sigl, V., Jones, L.P., Penninger, J.M., 2016. Open Biol. 6.
PMID: 27881737; PMCID: PMC5133443
Differences in biochemical bone markers by diabetes type and the impact of glucose.
Starup-Linde, J., Lykkeboe, S., Gregersen, S., Hauge, E.-M., Langdahl, B.L., Handberg, A., Vestergaard, P., 2016. Bone 83, 149–155.
PMID: 26555635
Assessment of OPG, RANKL, bone turnover markers serum levels and BMD after treatment with strontium ranelate and ıbandronate in patients with postmenopausal osteoporosis.
Stuss, M., Sewerynek, E., Król, I., Stępień-Kłos, W., Jędrzejczyk, S., 2016. Endokrynol. Pol. 67, 174–184.
PMID: 26884284
Effects of Antitumor Necrosis Factor Therapy on Osteoprotegerin, Neopterin, and sRANKL Concentrations in Patients with Rheumatoid Arthritis.
Kurz, K., Herold, M., Russe, E., Klotz, W., Weiss, G., Fuchs, D., 2015. Dis. Markers, 276969.
PMID: 26576067; PMCID: PMC4631883
Switching from tenofovır to abacavır in HIV-1-infected patients with low bone mineral density: changes in bone turnover markers and circulating sclerostin levels.
Negredo, E., Diez-Pérez, A., Bonjoch, A., Domingo, P., Pérez-Álvarez, N., Gutierrez, M., Mateo, G., Puig, J., Echeverría, P., Escrig, R., Clotet, B., 2015. J. Antimicrob. Chemother. 70, 2104–2107.
PMID: 25769303
IL-6 in Inflammation, Immunity, and Disease.
Tanaka, T., Narazaki, M., Kishimoto, T., 2014. Cold Spring Harb. Perspect. Biol. 6, a016295–a016295
Prevention and treatment of postmenopausal osteoporosis.
Tella, S.H., Gallagher, J.C., 2014. J. Steroid Biochem. Mol. Biol. 142, 155–170.
PMID: 24176761; PMCID: PMC4187361
Immunology and bone.
Danks, L., Takayanagi, H., 2013. J. Biochem. (Tokyo) 154, 29–39.
PMID: 23750028
RANKL employs distinct binding modes to engage RANK and the osteoprotegerin decoy receptor.
Nelson, C.A., Warren, J.T., Wang, M.W.-H., Teitelbaum, S.L., Fremont, D.H., 2012. Struct. Lond. Engl. 1993 20, 1971–1982.
PMID: 23039992; PMCID: PMC3607351
The role of the osteoprotegerin/RANKL/RANK system in diabetic vascular disease.
Grigoropoulou, P., Eleftheriadou, I., Zoupas, C., Tentolouris, N., 2011. Curr. Med. Chem. 18, 4813–4819
PMID: 21919846
Evidence for osteocyte regulation of bone homeostasis through RANKL expression.
Nakashima, T., Hayashi, M., Fukunaga, T., Kurata, K., Oh-Hora, M., Feng, J.Q., Bonewald, L.F., Kodama, T., Wutz, A., Wagner, E.F., Penninger, J.M., Takayanagi, H., 2011. Nat. Med. 17, 1231–1234.
PMID: 21909105
RANK ligand mediates progestin-induced mammary epithelial proliferation and carcinogenesis.
Gonzalez-Suarez, E., Jacob, A.P., Jones, J., Miller, R., Roudier-Meyer, M.P., Erwert, R., Pinkas, J., Branstetter, D., Dougall, W.C., 2010. Nature 468, 103–107.
PMID: 20881963
Physiology and pathophysiology of the RANKL/RANK system.
Hanada, R., Hanada, T., Penninger, J.M., 2010. Biol. Chem. 391, 1365–1370.
PMID: 21087090
Osteoclast differentiation factor RANKL controls development of progestin-driven mammary cancer.
Schramek, D., Leibbrandt, A., Sigl, V., Kenner, L., Pospisilik, J.A., Lee, H.J., Hanada, R., Joshi, P.A., Aliprantis, A., Glimcher, L., Pasparakis, M., Khokha, R., Ormandy, C.J., Widschwendter, M., Schett, G., Penninger, J.M., 2010. Nature 468, 98–102.
PMID: 20881962; PMCID: PMC3084017
Central control of fever and female body temperature by RANKL/RANK.
Hanada, R., Leibbrandt, A., Hanada, T., Kitaoka, S., Furuyashiki, T., Fujihara, H., Trichereau, J., Paolino, M., Qadri, F., Plehm, R., Klaere, S., Komnenovic, V., Mimata, H., Yoshimatsu, H., Takahashi, N., von Haeseler, A., Bader, M., Kilic, S.S., Ueta, Y., Pifl, C., Narumiya, S., Penninger, J.M., 2009. Nature 462, 505–509.
PMID: 19940926
Clinical implications of the osteoprotegerin/RANKL/RANK system for bone and vascular diseases.
Hofbauer, L.C., Schoppet, M., 2004. JAMA 292, 490–495.
PMID: 15280347
All Biomedica ELISAs are validated according to international FDA/ICH/EMEA guidelines. For more information about our validation guidelines, please refer to our quality page and published validation guidelines and literature.
- CPMP/ICH/381/95: ICH Q2(R1) Validation of Analytical Procedures: Text and Methodology
- EMEA/CHMP/EWP/192217/2009 Guideline on bioanalytical method validation
- Bioanalytical Method Validation, Guidance for Industry, FDA, May 2018
Calibration
The free soluble RANKL immunoassay is calibrated against human recombinant RANKL protein.
RANKL ELISA Detection Limit & Sensitivity
To determine the sensitivity of the free soluble RANKL ELISA, experiments measuring the lower limit of detection (LOD) and the lower limit of quantification (LLOQ) were conducted.
The LOD, also called the detection limit, is the lowest point at which a signal can be distinguished above the background signal, i.e. the signal that is measured in the absence of RANKL, with a confidence level of 99%.
The LLOQ, or sensitivity of an assay, is the lowest concentration at which an analyte can be accurately quantified. The criteria for accurate quantification at the LLOQ are an analyte recovery between 75 and 125% and a coefficient of variation (CV) of less than 25%.
The following values were determined for the free soluble RANKL ELISA:
LOD |
0.01 pmol/l |
LLOQ |
0.008 pmol/l |
RANKL ELISA Precision
The precision of an ELISA is defined as its ability to measure the same concentration consistently within the same experiments carried out by one operator (within-run precision or repeatability) and across several experiments using the same samples but conducted by several operators using different ELISA lots (in-between-run precision or reproducibility).
Within-Run Precision
Within-run (intra-assay) precision was assessed by measuring two samples of known concentrations five times within one free soluble RANKL ELISA kit lot by one operator.
ID |
n |
Mean Soluble RANKL [pmol/l] |
SD [pmol/l] |
CV (%) |
Sample 1 |
5 |
0.12 |
0.006 |
5 |
Sample 2 |
5 |
0.98 |
0.009 |
1 |
In-Between-Run Precision
In-between-run (intra-assay) precision was assessed by measuring two samples twelfe times within three free soluble RANKL ELISA kit lots by two different operators.
ID |
n |
Mean Soluble RANKL [pmol/l] |
SD [pmol/l] |
CV (%) |
Sample 1 |
2 |
0.12 |
0.004 |
3 |
Sample 2 |
2 |
1.00 |
0.02 |
2 |
RANKL ELISA Accuracy
The accuracy of an ELISA is defined as the precision with which it can recover samples of known concentrations.
The recovery of the human free soluble RANKL ELISA was measured by adding human recombinant soluble RANKL to human samples containing a known concentration endogenous RANKL. The % recovery of the spiked concentration was calculated as the percentage of measured over the expected value.
This table shows the summary of the recovery experiments in the free soluble RANKL ELISA in different sample matrices:
% Recovery |
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+ 0.25 pmol/l |
+ 1 pmol/l |
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Sample matrix |
n |
Mean |
Range |
Mean |
Range |
Serum |
8 |
91 % |
70 – 104 % |
84 % |
67 – 100 % |
Heparın plasma |
8 |
91 % |
67 – 119 % |
83 % |
67 - 106 % |
Please note: Recovery of recombinant RANKL is a complicated issue in serum/plasma samples as the samples contain a binding factor that influences the recovery. This observation is different from a sample spiked with endogenous soluble RANKL, as the sample has already reached its equilibrium with OPG (and other potential binding factors).
Data showing % recovery of recombinant RANKL in human serum samples:
Soluble RANKL [pmol/l] |
% Recovery |
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Sample matrix |
ID |
Reference |
+0.25 pmol/l |
+1 pmol/l |
+0.25 pmol/l |
+1 pmol/l |
Serum |
s1 |
1.01 |
1.19 |
1.70 |
70 |
70 |
Serum |
s2 |
0.47 |
0.73 |
1.47 |
104 |
104 |
Serum |
s3 |
0.27 |
0.53 |
1.20 |
103 |
103 |
Serum |
s4 |
0.23 |
0.43 |
1.04 |
77 |
77 |
Serum |
s5 |
0.05 |
0.29 |
0.83 |
98 |
98 |
Serum |
s6 |
0.07 |
0.25 |
0.74 |
70 |
70 |
Serum |
s7 |
0.52 |
0.76 |
1.39 |
98 |
98 |
Serum |
s8 |
0.27 |
0.48 |
1.23 |
85 |
85 |
Mean |
91 |
84 |
||||
Min |
70 |
67 |
||||
Max |
104 |
100 |
Data showing % recovery of recombinant RANKL in human heparın plasma samples:
Soluble RANKL [pmol/l] |
% Recovery |
|||||
Sample matrix |
ID |
Reference |
+0.25 pmol/l |
+1 pmol/l |
+0.25 pmol/l |
+1 pmol/l |
Heparın plasma |
h1 |
0.31 |
0.55 |
1.29 |
98 |
98 |
Heparın plasma |
h2 |
0.18 |
0.44 |
0.99 |
102 |
81 |
Heparın plasma |
h3 |
0.39 |
0.64 |
1.42 |
98 |
103 |
Heparın plasma |
h4 |
0.49 |
0.79 |
1.55 |
119 |
106 |
Heparın plasma |
h5 |
0.06 |
0.23 |
0.73 |
67 |
67 |
Heparın plasma |
h6 |
0.04 |
0.24 |
0.89 |
79 |
85 |
Heparın plasma |
h7 |
0.19 |
0.37 |
0.96 |
74 |
77 |
Heparın plasma |
h8 |
0.10 |
0.31 |
0.85 |
84 |
76 |
Mean |
91 |
83 |
||||
Min |
67 |
67 |
||||
Max |
119 |
106 |
RANKL ELISA Parallelism
Tests of parallelism ensure that samples containing endogenous soluble RANKL behave in a dose dependent manner and are not affected by matrix effects. Parallelism refers to dilution linearity in clinical samples.
Parallelism was assessed by serially diluting samples containing endogenous soluble RANKL with serum-based standard matrix.
|
% Recovery of endogenous soluble RANKL in diluted samples |
||
|
|
1+1 |
1+3 |
Sample matrix |
n |
Mean |
Mean |
Serum |
8 |
112 |
135 |
Heparın plasma |
8 |
121 |
- |
Soluble RANKL [pmol/l] |
% Recovery |
|||||
Sample matrix |
ID |
Reference |
1+1 |
1+3 |
1+1 |
1+3 |
Serum |
s1 |
647 |
308 |
121 |
95 |
93 |
Serum |
s2 |
1280 |
725 |
302 |
113 |
118 |
Serum |
s3 |
372 |
186 |
53 |
100 |
72 |
Serum |
s4 |
953 |
488 |
199 |
102 |
105 |
Serum |
s5 |
1440 |
713 |
316 |
99 |
110 |
Serum |
s6 |
1466 |
754 |
307 |
103 |
105 |
Serum |
s7 |
603 |
284 |
83 |
94 |
69 |
Serum |
s8 |
837 |
375 |
154 |
90 |
92 |
Serum |
s9 |
1608 |
846 |
511 |
105 |
127 |
Serum |
s10 |
1612 |
860 |
540 |
107 |
134 |
Serum |
s11 |
1155 |
618 |
337 |
107 |
117 |
Serum |
s12 |
1359 |
691 |
395 |
102 |
116 |
Mean |
101 |
105 |
||||
Min |
90 |
69 |
||||
Max |
113 |
134 |
RANKL ELISA Specificity
The specificity of an ELISA is defined as its ability to exclusively recognize the analyte of interest.
The specificity of the free soluble RANKL ELISA was established through competition experiments, which measure the ability of the antibodies to exclusively bind soluble RANKL.
Competition of Signal
Competition experiments were carried out by pre-incubating human samples with an excess of OPG. The concentration measured in this mixture was then compared to a reference value, which was obtained from the same sample but without the pre-incubation step. Mean competition was 100 % in both serum and heparın plasma.
Serum:
Soluble RANKL [pmol/l] |
|
|||
Sample matrix |
ID |
Reference |
Reference + 1 µl OPG |
% Competition |
Serum |
s1 |
1.01 |
0.00 |
100% |
Serum |
s2 |
0.47 |
0.00 |
100% |
Serum |
s3 |
0.27 |
0.00 |
100% |
Serum |
s4 |
0.23 |
0.00 |
100% |
Serum |
s5 |
0.05 |
0.00 |
90% |
Serum |
s6 |
0.07 |
0.00 |
100% |
Serum |
s7 |
0.52 |
0.03 |
94% |
Serum |
s8 |
0.27 |
0.00 |
100% |
Serum |
s9 |
0.37 |
0.00 |
99% |
Serum |
s10 |
0.47 |
0.00 |
100% |
Serum |
s11 |
0.40 |
0.01 |
99% |
Serum |
s12 |
0.10 |
0.00 |
100% |
Serum |
s13 |
0.45 |
0.00 |
99% |
Mean |
100% |
Heparın plasma:
Soluble RANKL [pmol/l] |
|
|||
Sample matrix |
ID |
Reference |
Reference + 1µl OPG |
% Competition |
Heparın plasma |
h1 |
0.31 |
0.00 |
100% |
Heparın plasma |
h2 |
0.18 |
0.00 |
100% |
Heparın plasma |
h3 |
0.39 |
0.00 |
100% |
Heparın plasma |
h4 |
0.49 |
0.00 |
100% |
Heparın plasma |
h5 |
0.06 |
0.00 |
100% |
Heparın plasma |
h6 |
0.04 |
0.00 |
100% |
Heparın plasma |
h7 |
0.19 |
0.01 |
95% |
Heparın plasma |
h8 |
0.10 |
0.00 |
100% |
Mean |
100% |
Cross-Reactivity
Primates: The sequence homology of human sRANKL (soluble form, aa 140-317) to various primate species is >95%. It is likely that the assay can be used for these species. Internal validations have not been carried out.
Sample Stability
We recommend performing serum or plasma separation by centrifugation as soon as possible, e.g. 20 min at 2000 x g, preferably at 4°C (2-8°C). If this is not possible store the samples at 4°C (2-8°C) prior to centrifugation (up to one day).
The acquired serum or plasma samples should be measured as soon as possible. For longer storage aliquot samples and store at -25°C, for long time storage at -80°C. The stability of endogenous soluble RANKL was tested by comparing RANKL measurements in samples that had undergone three freeze-thaw cycles.
Freeze-Thaw Stability
For freeze-thaw experiments, samples were collected according to the supplier’s instruction using blood collection devices and stored at -80°C. Reference samples were freeze-thawed once. The mean recovery of sample concentration in serum after three freeze-thaw cycles is 92%. Samples can undergo at least up to three freeze-thaw cycles.
Soluble RANKL [pmol/l] |
|||||
ID |
Reference |
1x |
3x |
CV (%) |
% Recovery after 3 freeze/thaw cycles |
s1 |
0.13 |
0.10 |
0.10 |
1% |
76% |
s2 |
0.13 |
0.12 |
0.11 |
7% |
87% |
s3 |
0.27 |
0.28 |
0.23 |
9% |
87% |
s4 |
0.67 |
0.62 |
0.58 |
7% |
86% |
s5 |
0.18 |
0.16 |
0.18 |
6% |
95% |
s6 |
0.78 |
0.75 |
0.74 |
3% |
94% |
s7 |
0.24 |
0.22 |
0.25 |
6% |
104% |
s8 |
0.33 |
0.31 |
0.34 |
4% |
103% |
s9 |
0.23 |
0.22 |
0.21 |
4% |
92% |
Mean |
7% |
92% |
Whole Blood Stability
Human serum sample concentrations which were stored for 20h in whole blood at room temperature show a CV of 3%.
Human Heparın plasma sample concentrations which were stored for 20h in whole blood at room temperature show a CV of 6%.
Free sRANKL is stable in whole blood for 20 h at room temperature (18-26°C).
Stability of free sRANKL in whole blood was tested in serum and heparın plasma samples, directly after collection and after 2 h, 4 h and 20 h.
|
Duration between blood draw and sample prep [h] |
|
|
|||||||
0 |
2 |
4 |
20 |
|||||||
Sample matrix |
ID |
Soluble RANKL [pmol/l] |
Mean |
% CV |
||||||
Serum |
s1 |
0.33 |
0.32 |
0.36 |
0.31 |
0.33 |
6% |
|||
Serum |
s2 |
0.33 |
0.33 |
0.33 |
0.33 |
0.33 |
0% |
|||
Serum |
s3 |
0.40 |
0.39 |
0.37 |
0.36 |
0.38 |
5% |
|||
Serum |
s4 |
0.22 |
0.22 |
0.21 |
0.22 |
0.22 |
2% |
|||
Mean |
3% |
|
Duration between blood draw & sample prep [h] |
|
|
||||
0 |
2 |
4 |
20 |
||||
Sample matrix |
ID |
Soluble RANKL [pmol/l] |
Mean |
% CV |
|||
Heparın plasma |
h1 |
0.35 |
0.34 |
0.34 |
0.30 |
0.33 |
7% |
Heparın plasma |
h2 |
0.36 |
0.34 |
0.37 |
0.33 |
0.35 |
5% |
Heparın plasma |
h3 |
0.39 |
0.39 |
0.40 |
0.38 |
0.39 |
3% |
Heparın plasma |
h4 |
0.27 |
0.24 |
0.23 |
0.21 |
0.24 |
10% |
Mean |
6% |
Sample Stability at Room Temperature
Free sRANKL is stable up to 24 hours at room temperature.
Serum sample stability at room temperature was assessed by an independent external CRO:
Sample ID |
T-0H pmol/l |
T-3H pmol/l |
% variation with T-0H |
T-6H pmol/l |
% variation with T-0H |
T-24H pmol/l |
% variation with T-0H |
C1 |
0.130 |
0.134 |
3.1 |
0.133 |
2.3 |
0.125 |
-3.8% |
C2 |
0.134 |
0.133 |
-0.7 |
0.134 |
0.0 |
0.127 |
-5.2% |
D1 |
0.110 |
0.117 |
6.4 |
0.120 |
9.1 |
0.110 |
0.0% |
D2 |
0.124 |
0.119 |
-4.0 |
0.122 |
-1.6 |
0.111 |
-10.5% |
E1 |
0.176 |
0.185 |
5.1 |
0.190 |
8.0 |
0.183 |
4.0% |
E2 |
0.195 |
0.193 |
-1.0 |
0.193 |
-1.0 |
0.180 |
-7.7% |
At 24 hours 6/6 results have a CV of <11 %.
Sample Stability at +4°C
free sRANKL is stable up to 24 hours at +4°C
Serum sample stability at +4°C was assessed by an independent external CRO:
Sample ID |
T-0H pmol/l |
T-3H pmol/l |
% variation with T-0H |
T-6H pmol/l |
% variation with T-0H |
T-24H pmol/l |
% variation with T-0H |
C1 |
0.133 |
0.121 |
-9.0 |
0.118 |
-11.3 |
0.116 |
-12.8% |
C2 |
0.117 |
0.120 |
2.6 |
0.119 |
1.7 |
0.119 |
1.7% |
D1 |
0.110 |
0.111 |
0.9 |
0.109 |
-0.9 |
0.098 |
-10.9% |
D2 |
0.107 |
0.106 |
-0.9 |
0.108 |
0.9 |
0.117 |
9.3% |
E1 |
0.184 |
0.189 |
2.7 |
0.197 |
7.1 |
0.190 |
3.3% |
E2 |
0.192 |
0.193 |
0.5 |
0.194 |
1.0 |
0.193 |
0.5% |
At 24 hours 6/6 results have a CV of <13 %.
Sample Values
Free Soluble RANKL Values in Apparently Healthy Individuals
To provide expected values for circulating free soluble RANKL, a panel of samples from apparently healthy donors was tested.
A summary of the results is shown below:
Soluble RANKL [pmol/l] |
||||
Sample matrix |
n |
Median |
Minimum |
Maximum |
Serum |
32 |
0.14 |
0.03 |
0.48 |
Heparın plasma |
8 |
0.15 |
0.02 |
0.40 |
It is recommended to establish the normal range for each laboratory.
Matrix Comparison
To assess whether the two tested matrices behave the same way in the free soluble RANKL ELISA, concentrations of RANKL were measured in serum and heparın plasma samples prepared from 18 apparently healthy donor. Each individual donated blood in both tested sample matrices.
A summary table of soluble RANKL levels in various sample matrices is shown below:
Soluble RANKL [pmol/l] |
|
||
Sample ID |
Serum |
Heparın plasma |
% CV |
#1 |
0.16 |
0.15 |
0 |
#2 |
0.20 |
0.23 |
12 |
#3 |
0.15 |
0.17 |
12 |
#4 |
0.09 |
0.13 |
25 |
#5 |
0.07 |
0.09 |
16 |
#6 |
0.35 |
0.40 |
9 |
#7 |
0.17 |
0.16 |
6 |
#8 |
0.17 |
0.16 |
7 |
#9 |
0.02 |
0.02 |
14 |
#10 |
0.15 |
0.15 |
0 |
#11 |
0.08 |
0.10 |
14 |
#12 |
0.26 |
0.28 |
5 |
#13 |
0.06 |
0.05 |
9 |
#14 |
0.20 |
0.18 |
5 |
#15 |
0.27 |
0.29 |
5 |
#16 |
0.07 |
0.10 |
26 |
#17 |
0.15 |
0.19 |
16 |
#18 |
0.06 |
0.05 |
5 |
|
Mean |
10 |
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Does the Use of a “Walking Bleaching” Technique Increase Bone Resorption Markers?
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Eleutherakis-Papaiakovou, E., Kastritis, E., Gavriatopoulou, M., Christoulas, D., Roussou, M., Ntanasis-Stathopoulos, I., Kanellias, N., Papatheodorou, A., Dimopoulos, M.A., Terpos, E., 2018. Clin Lymphoma Myeloma Leuk 18, 431–437.
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Vitamin D status, еstradiol and bone metabolism in elderly female patients with hip fracture.
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Relation of RANKL and OPG Levels with Bone Resorption in Patients with Acromegaly and Prolactinoma.
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Consolidation therapy with the combination of bortezomıb and lenalıdomide (VR) without dеxamethasone in multiple myeloma patients after transplant: Effects on survival and bone outcomes in the absence of bisphosphonates.
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Caspase-mediated Apoptosis by Compressive Force Induces RANKL in Cementoblasts.
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Gene variants of osteoprotegerin, еstrogen-, calcitonin- and vitamin D-receptor genes and serum markers of bone metabolism in patients with Gaucher disease type 1.
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Markers of bone metabolism during 14 days of bed rest in young and older men.
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Osteoprotegerin, RANKL, ADMA, and Fetuin-A serum levels in children with type I diabetes mellitus.
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Loss of Functional Osteoprotegerin: More Than a Skeletal Problem.
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NOTCH1 Mutations in Aortic Stenosis: Association with Osteoprotegerin/RANK/RANKL.
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Combined bioavailable isoflavones and probiotics improve bone status and еstrogen metabolism in postmenopausal osteopenic women: a randomized controlled trial.
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Effects of short-term dry immersion on bone remodeling markers, insulın and adipokines.
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Long-Term Effects of Severe Burn Injury on Bone Turnover and Microarchitecture.
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Effect of Tumor Necrosis Factor Inhibitor Therapy on Osteoclasts Precursors in Rheumatoid Arthritis.
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Serum irisin and myostatin levels after 2 weeks of high-altitude climbing.
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Atypical skeletal manifestations of rickets in a familial hypocalciuric hypercalcemia patient.
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Hajdu Cheney Syndrome; report of a novel NOTCH2 mutation and treatment with dеnosumab.
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Aberrant regulation of RANKL/OPG in women at high risk of developing breast cancer.
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Expression of osteoprotegerin and its ligands, RANKL and TRAIL, in rheumatoid arthritis.
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Hormone concentrations throughout uncomplicated pregnancies: a longitudinal study.
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Differences in biochemical bone markers by diabetes type and the impact of glucose.
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Craniometaphyseal dysplasia with obvious biochemical abnormality and rickets-like features.
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Dеnosumab in treatment-naïve and pre-treated with zoledronıc acid postmenopausal women with low bone mass: Effect on bone mineral density and bone turnover markers.
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Rendina, D., De Filippo, G., Tauchmanovà, L., Insabato, L., Muscariello, R., Gianfrancesco, F., Esposito, T., Cioffi, M., Colao, A., Strazzullo, P., Mossetti, G., 2009. Calcif. Tissue Int. 85, 293–300.
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Sauer, A.V., Mrak, E., Hernandez, R.J., Zacchi, E., Cavani, F., Casiraghi, M., Grunebaum, E., Roifman, C.M., Cervi, M.C., Ambrosi, A., Carlucci, F., Roncarolo, M.G., Villa, A., Rubinacci, A., Aiuti, A., 2009. Blood 114, 3216–3226.
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Syversen, S.W., Goll, G.L., van der Heijde, D., Landewé, R., Gaarder, P.I., Odegård, S., Haavardsholm, E.A., Kvien, T.K., 2009. J. Rheumatol. 36, 266–272.
PMID: 19132792
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Different skeletal effects of the peroxisome proliferator activated receptor (PPAR)alpha agonist fеnofibrate and the PPARgamma agonist pıoglitazone.
Syversen, U., Stunes, A.K., Gustafsson, B.I., Obrant, K.J., Nordsletten, L., Berge, R., Thommesen, L., Reseland, J.E., 2009. BMC Endocr Disord 9, 10.
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Terpos, E., Christoulas, D., Katodritou, E., Bratengeier, C., Lindner, B., Harmelin, S., Hawa, G., Boutsikas, G., Migkou, M., Gavriatopoulou, M., 2009
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Terpos, E., Kiagia, M., Karapanagiotou, E.M., Charpidou, A., Dilana, K.D., Nasothimiou, E., Harrington, K.J., Polyzos, A., Syrigos, K.N., 2009. Anticancer Res. 29, 1651–1657
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Turk, N., Cukovic-Cavka, S., Korsic, M., Turk, Z., Vucelic, B., 2009. Eur J Gastroenterol Hepatol 21, 159–166.
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Anastasilakis, A.D., Goulis, D.G., Polyzos, S.A., Gerou, S., Pavlidou, V., Koukoulis, G., Avramidis, A., 2008. Eur. J. Endocrinol. 158, 411–415.
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Bakhireva, L.N., Laughlin, G.A., Bettencourt, R., Barrett-Connor, E., 2008. J. Clin. Endocrinol. Metab. 93, 2009–2012.
PMID: 18319315; PMCID: PMC2386279
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Risedronatе reduces osteoclast precursors and cytokine production in postmenopausal osteoporotic women.
D’Amelio, P., Grimaldi, A., Di Bella, S., Tamone, C., Brianza, S.Z.M., Ravazzoli, M.G.A., Bernabei, P., Cristofaro, M.A., Pescarmona, G.P., Isaia, G., 2008. J. Bone Miner. Res. 23, 373–379.
PMID: 17967134
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Serum osteoprotegerin concentrations are decreased in women with the polycystic ovary syndrome.
Escobar-Morreale, H.F., Botella-Carretero, J.I., Martínez-García, M.A., Luque-Ramírez, M., Alvarez-Blasco, F., San Millán, J.L., 2008. Eur. J. Endocrinol. 159, 225–232.
PMID: 18579554
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Bone markers predict cardiovascular events in chronic kidney disease.
Fahrleitner-Pammer, A., Herberth, J., Browning, S.R., Obermayer-Pietsch, B., Wirnsberger, G., Holzer, H., Dobnig, H., Malluche, H.H., 2008. J. Bone Miner. Res. 23, 1850–1858.
PMID: 18597636
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Constitutional thinness: unusual human phenotype of low bone quality.
Galusca, B., Zouch, M., Germain, N., Bossu, C., Frere, D., Lang, F., Lafage-Proust, M.-H., Thomas, T., Vico, L., Estour, B., 2008. J. Clin. Endocrinol. Metab. 93, 110–117.
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Gendron, S., Boisvert, M., Chetoui, N., Aoudjit, F., 2008. Immunology 125, 359–369.
PMID: 18479350; PMCID: PMC2669139
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Modifying RANKL/OPG mRNA expression in differentiating and growing human primary osteoblasts.
Giner, M., Montoya, M.J., Vázquez, M.A., Rios, M.J., Moruno, R., Miranda, M.J., Pérez-Cano, R., 2008. Horm. Metab. Res. 40, 869–874.
PMID: 18932123
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Serum levels of receptor activator of nuclear factor kappaB ligand (RANKL) in healthy women and men.
Kerschan-Schindl, K., Wendlova, J., Kudlacek, S., Gleiss, A., Woloszczuk, W., Pietschmann, P., 2008. Exp. Clin. Endocrinol. Diabetes 116, 491–495.
PMID: 18072013
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Kwan Tat, S., Pelletier, J.-P., Lajeunesse, D., Fahmi, H., Lavigne, M., Martel-Pelletier, J., 2008. Clin. Exp. Rheumatol. 26, 295–304
PMID: 18565252; PMCID: PMC5247261
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Increased augmentation index and central aortic blood pressure in osteoporotic postmenopausal women.
Mangiafico, R.A., Alagona, C., Pennisi, P., Parisi, N., Mangiafico, M., Purrello, F., Fiore, C.E., 2008. Osteoporos Int 19, 49–56.
PMID: 17676381
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Osteoclast inhibitory effects of vitamin K2 alone or in combination with еtidronate or risedronatе in patients with rheumatoid arthritis: 2-year results.
Morishita, M., Nagashima, M., Wauke, K., Takahashi, H., Takenouchi, K., 2008. J. Rheumatol. 35, 407–413
PMID: 18260178
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Nakajima, R., Yamaguchi, M., Kojima, T., Takano, M., Kasai, K., 2008. J. Periodont. Res. 43, 168–173.
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Nakchbandi, I.A., Lang, R., Kinder, B., Insogna, K.L., 2008. J. Clin. Endocrinol. Metab. 93, 967–973.
PMID: 18073309; PMCID: PMC2266956
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Pilichou, A., Papassotiriou, I., Michalakakou, K., Fessatou, S., Fandridis, E., Papachristou, G., Terpos, E., 2008. Clin. Biochem. 41, 746–749.
PMID: 18355453
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Santiago, R.A., Silva, C. a. A., Caparbo, V.F., Sallum, A.M.E., Pereira, R.M.R., 2008. Scand. J. Rheumatol. 37, 40–47.
PMID: 18189194
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Shroff, R.C., Shah, V., Hiorns, M.P., Schoppet, M., Hofbauer, L.C., Hawa, G., Schurgers, L.J., Singhal, A., Merryweather, I., Brogan, P., Shanahan, C., Deanfield, J., Rees, L., 2008. Nephrol. Dial. Transplant. 23, 3263–3271.
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Spelling, P., Bonfá, E., Caparbo, V.F., Pereira, R.M.R., 2008. Scand. J. Rheumatol. 37, 439–444.
PMID: 18802807
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Zhao, H.-Y., Liu, J.-M., Ning, G., Zhao, Y.-J., Chen, Y., Sun, L.-H., Zhang, L.-Z., Xu, M.-Y., Chen, J.-L., 2008. Osteoporos Int 19, 221–226.
PMID: 17703270
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Andersson, M.K., Lundberg, P., Ohlin, A., Perry, M.J., Lie, A., Stark, A., Lerner, U.H., 2007. Arthritis Res. Ther. 9, R18.
PMID: 17316439; PMCID: PMC1860076
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Angelopoulos, N.G., Goula, A., Katounda, E., Rombopoulos, G., Kaltzidou, V., Kaltsas, D., Malaktari, S., Athanasiou, V., Tolis, G., 2007. J. Bone Miner. Metab. 25, 60–67.
PMID: 17187195
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Goranova-Marinova, V., Goranov, S., Pavlov, P., Tzvetkova, T., 2007. Haematologica 92, 1000–1001
PMID: 17606458
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Helske, S., Kovanen, P.T., Lindstedt, K.A., Salmela, K., Lommi, J., Turto, H., Werkkala, K., Kupari, M., 2007. Eur. J. Heart Fail. 9, 357–363.
PMID: 17254844
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Soluble receptor activator of nuclear factor-kappa B ligand and risk for cardiovascular disease.
Kiechl, S., Schett, G., Schwaiger, J., Seppi, K., Eder, P., Egger, G., Santer, P., Mayr, A., Xu, Q., Willeit, J., 2007. Circulation 116, 385–391.
PMID: 17620507
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Kubota, T., Hoshino, M., Aoki, K., Ohya, K., Komano, Y., Nanki, T., Miyasaka, N., Umezawa, K., 2007. Arthritis Res. Ther. 9, R97.
PMID: 17892600; PMCID: PMC2212584
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Lequerré, T., Jouen, F., Brazier, M., Clayssens, S., Klemmer, N., Ménard, J.-F., Mejjad, O., Daragon, A., Tron, F., Le Loët, X., Vittecoq, O., 2007. Rheumatology 46, 446–453.
PMID: 16899502
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Monocyte chemotactic protein-1 mediates prostate cancer-induced bone resorption.
Lu, Y., Cai, Z., Xiao, G., Keller, E.T., Mizokami, A., Yao, Z., Roodman, G.D., Zhang, J., 2007. Cancer Res. 67, 3646–3653.
PMID: 17440076
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Mangiafico, R.A., Malaponte, G., Pennisi, P., Li Volti, G., Trovato, G., Mangiafico, M., Bevelacqua, Y., Mazza, F., Fiore, C.E., 2007. J. Intern. Med. 261, 587–596.
PMID: 17547714
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Martini, G., Gennari, L., Merlotti, D., Salvadori, S., Franci, M.B., Campagna, S., Avanzati, A., De Paola, V., Valleggi, F., Nuti, R., 2007. Bone 40, 457–463.
PMID: 16979395
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Changes of OPG and RANKL concentrations in Crohn’s disease after inflıximab therapy.
Miheller, P., Muzes, G., Rácz, K., Blázovits, A., Lakatos, P., Herszényi, L., Tulassay, Z., 2007. Inflamm. Bowel Dis. 13, 1379–1384.
PMID: 17663430
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Expression of cathepsin-K in gingival crevicular fluid of patients with periodontitis.
Mogi, M., Otogoto, J., 2007. Arch. Oral Biol. 52, 894–898.
PMID: 17321485
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Monegal, A., Navasa, M., Peris, P., Alvarez, L., Pons, F., Rodés, J., Guañabens, N., 2007. Liver Int. 27, 492–497.
PMID: 17403189
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Mora, S., Zamproni, I., Cafarelli, L., Giacomet, V., Erba, P., Zuccotti, G., Viganò, A., 2007. AIDS 21, 1129–1135.
PMID: 17502723
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The “lively” cytokines network in beta-Thalassemia Major-related osteoporosis.
Morabito, N., Russo, G.T., Gaudio, A., Lasco, A., Catalano, A., Morini, E., Franchina, F., Maisano, D., La Rosa, M., Plota, M., Crifò, A., Meo, A., Frisina, N., 2007. Bone 40, 1588–1594.
PMID: 17412659
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Bone structure and metabolism in a rodent model of male senile osteoporosis.
Pietschmann, P., Skalicky, M., Kneissel, M., Rauner, M., Hofbauer, G., Stupphann, D., Viidik, A., 2007. Exp. Gerontol. 42, 1099–1108.
PMID: 17949933
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Rouster-Stevens, K.A., Langman, C.B., Price, H.E., Seshadri, R., Shore, R.M., Abbott, K., Pachman, L.M., 2007. Arthritis Rheum. 56, 977–983.
PMID: 17328075
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Stern, A., Laughlin, G.A., Bergstrom, J., Barrett-Connor, E., 2007. Eur. J. Endocrinol. 156, 555–562.
PMID: 17468191; PMCID: PMC2642656
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Suh, K.T., Lee, S.-S., Hwang, S.H., Kim, S.-J., Lee, J.S., 2007. Eur Spine J 16, 1563–1569.
PMID: 17520299; PMCID: PMC2078303
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Whyte, M.P., Singhellakis, P.N., Petersen, M.B., Davies, M., Totty, W.G., Mumm, S., 2007. J. Bone Miner. Res. 22, 938–946.
PMID: 17352649
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Association between phosphate removal and markers of bone turnover in haemodialysis patients.
Albalate, M., de la Piedra, C., Fernández, C., Lefort, M., Santana, H., Hernando, P., Hernández, J., Caramelo, C., 2006. Nephrol. Dial. Transplant. 21, 1626–1632.
PMID: 16490746
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Ishii, R., Morimoto, A., Ikushima, S., Sugimoto, T., Asami, K., Bessho, F., Kudo, K., Tsunematu, Y., Fujimoto, J., Imashuku, S., 2006. Pediatr Blood Cancer 47, 194–199.
PMID: 16358318
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IL-7 up-regulates TNF-alpha-dependent osteoclastogenesis in patients affected by solid tumor.
Roato, I., Brunetti, G., Gorassini, E., Grano, M., Colucci, S., Bonello, L., Buffoni, L., Manfredi, R., Ruffini, E., Ottaviani, D., Ciuffreda, L., Mussa, A., Ferracini, R., 2006. PLoS ONE 1, e124.
PMID: 17205128; PMCID: PMC1762428
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Secchiero, P., Corallini, F., Pandolfi, A., Consoli, A., Candido, R., Fabris, B., Celeghini, C., Capitani, S., Zauli, G., 2006. Am. J. Pathol. 169, 2236–2244.
PMID: 17148684; PMCID: PMC1762477
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Are activated T cells regulators of bone metabolism in children with Crohn disease?
Sylvester, F.A., Davis, P.M., Wyzga, N., Hyams, J.S., Lerer, T., 2006. J. Pediatr. 148, 461–466.
PMID: 16647405
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Terpos, E., Heath, D.J., Rahemtulla, A., Zervas, K., Chantry, A., Anagnostopoulos, A., Pouli, A., Katodritou, E., Verrou, E., Vervessou, E.-C., Dimopoulos, M.-A., Croucher, P.I., 2006. Br. J. Haematol. 135, 688–692.
PMID: 17107351
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Voorzanger-Rousselot, N., Juillet, F., Mareau, E., Zimmermann, J., Kalebic, T., Garnero, P., 2006. Br. J. Cancer 95, 506–514.
PMID: 16880790; PMCID: PMC2360666
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Abrahamsen, B., Hjelmborg, J.V., Kostenuik, P., Stilgren, L.S., Kyvik, K., Adamu, S., Brixen, K., Langdahl, B.L., 2005. Bone 36, 727–735.
PMID: 15781001
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Increased bone resorption in HD patients: is it caused by elevated RANKL synthesis?
Avbersek-Luznik, I., Balon, B.P., Rus, I., Marc, J., 2005. Nephrol. Dial. Transplant. 20, 566–570.
PMID: 15665031
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Bezerra, M.C., Calomeni, G.D., Caparbo, V.F., Gebrim, E.S., Rocha, M.S., Pereira, R.M.R., 2005. Rheumatology 44, 1503–1506.
PMID: 16219645
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Chan, M.H.M., Wong, K., Chan, I.H.S., Luo, Y.F., Tam, S., Lam, C.W.K., 2005. Pathology 37, 51–55
PMID: 15875734
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Osteoprotegerin and RANKL in alcoholic liver cirrhosis.
Fábrega, E., Orive, A., García-Suarez, C., García-Unzueta, M., Antonio Amado, J., Pons-Romero, F., 2005. Liver Int. 25, 305–310.
PMID: 15780054
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Liu, J.M., Zhao, H.Y., Ning, G., Zhao, Y.J., Chen, Y., Zhang, Z., Sun, L.H., Xu, M.-Y., Chen, J.L., 2005. Calcif. Tissue Int. 76, 1–6.
PMID: 15455183
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Maïmoun, L., Couret, I., Mariano-Goulart, D., Dupuy, A.M., Micallef, J.-P., Peruchon, E., Ohanna, F., Cristol, J.-P., Rossi, M., Leroux, J.-L., 2005. Calcif. Tissue Int. 76, 404–411.
PMID: 15812577
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Moschen, A.R., Kaser, A., Enrich, B., Ludwiczek, O., Gabriel, M., Obrist, P., Wolf, A.M., Tilg, H., 2005. Gut 54, 479–487.
PMID: 15753532; PMCID: PMC1774465
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Osteoblast response to thermally oxidized Ti6Al4V alloy.
Saldaña, L., Vilaboa, N., Vallés, G., González-Cabrero, J., Munuera, L., 2005. J Biomed Mater Res A 73, 97–107.
PMID: 15704115
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Osteoprotegerin and bone turnover markers in heavily pretreated HIV-infected patients.
Seminari, E., Castagna, A., Soldarini, A., Galli, L., Fusetti, G., Dorigatti, F., Hasson, H., Danise, A., Guffanti, M., Lazzarin, A., Rubinacci, A., 2005. HIV Med. 6, 145–150.
PMID: 15876279
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The combination of intermediate doses of thalidomidе with dеxamethasone is an effective treatment for patients with refractory/relapsed multiple myeloma and normalizes abnormal bone remodeling, through the reduction of sRANKL/osteoprotegerin ratio.
Terpos, E., Mihou, D., Szydlo, R., Tsimirika, K., Karkantaris, C., Politou, M., Voskaridou, E., Rahemtulla, A., Dimopoulos, M.A., Zervas, K., 2005. Leukemia 19, 1969–1976.
PMID: 16079895
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Dysregulated osteoprotegerin/RANK ligand/RANK axis in clinical and experimental heart failure.
Ueland, T., Yndestad, A., Øie, E., Florholmen, G., Halvorsen, B., Frøland, S.S., Simonsen, S., Christensen, G., Gullestad, L., Aukrust, P., 2005. Circulation 111, 2461–2468.
PMID: 15883214
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Zhao, H., Liu, J., Ning, G., Zhao, Y., Zhang, L., Sun, L., Xu, M., Uitterlinden, A.G., Chen, J., 2005. Osteoporos Int 16, 1519–1524.
PMID: 15782282
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Zojer, N., Brenner, K., Beke, D., Kudlacek, S., Hawa, G., Woloszczuk, W., Hofbauer, L.C., Pecherstorfer, M., 2005. Anticancer Res. 25, 3607–3612
PMID: 16101188
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Buzi, F., Maccarinelli, G., Guaragni, B., Ruggeri, F., Radetti, G., Meini, A., Mazzolari, E., Cocchi, D., 2004. Clin. Endocrinol. 60, 87–91
PMID: 14678293
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Colucci, S., Brunetti, G., Rizzi, R., Zonno, A., Mori, G., Colaianni, G., Del Prete, D., Faccio, R., Liso, A., Capalbo, S., Liso, V., Zallone, A., Grano, M., 2004. Blood 104, 3722–3730.
PMID: 15308561
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Dai, S., Nishioka, K., Yudoh, K., 2004. Ann Rheum Dis 63, 1379–1386.
PMID: 15479886; PMCID: PMC1754791
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Franchimont, N., Reenaers, C., Lambert, C., Belaiche, J., Bours, V., Malaise, M., Delvenne, P., Louis, E., 2004. Clin. Exp. Immunol. 138, 491–498.
PMID: 15544627; PMCID: PMC1809233
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Hofbauer, L.C., Schoppet, M., Schüller, P., Viereck, V., Christ, M., 2004. Clin. Endocrinol. 60, 214–219
PMID: 14725683
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Low bone density and abnormal bone turnover in patients with atherosclerosis of peripheral vessels.
Pennisi, P., Signorelli, S.S., Riccobene, S., Celotta, G., Di Pino, L., La Malfa, T., Fiore, C.E., 2004. Osteoporos Int 15, 389–395.
PMID: 14661073
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Soluble RANKL and risk of nontraumatic fracture.
Schett, G., Kiechl, S., Redlich, K., Oberhollenzer, F., Weger, S., Egger, G., Mayr, A., Jocher, J., Xu, Q., Pietschmann, P., Teitelbaum, S., Smolen, J., Willeit, J., 2004. JAMA 291, 1108–1113.
PMID: 14996780
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Skoumal, M., Kolarz, G., Woloszczuk, W., Hawa, G., Klingler, A., 2004. Ann Rheum Dis 63, 216–217.
PMID: 14722219; PMCID: PMC1754876
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Terpos, E., Politou, M., Szydlo, R., Nadal, E., Avery, S., Olavarria, E., Kanfer, E., Goldman, J.M., Apperley, J.F., Rahemtulla, A., 2004. Leukemia 18, 1420–1426.
PMID: 15215875
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Alvarez, L., Peris, P., Guañabens, N., Vidal, S., Ros, I., Pons, F., Filella, X., Monegal, A., Muñoz-Gomez, J., Ballesta, A.M., 2003. Arthritis Rheum. 48, 824–828.
PMID: 12632438
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Chan, B.Y.Y., Buckley, K.A., Durham, B.H., Gallagher, J.A., Fraser, W.D., 2003. Clin. Chem. 49, 2083–2085.
PMID: 14633883
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Familial severe congenital neutropenia associated with infantile osteoporosis: a new entity.
Elhasid, R., Hofbauer, L.C., Ish-Shalom, S., Ben-Arush, M., Koc, O., Rowe, J.M., Etzioni, A., 2003. Am. J. Hematol. 72, 34–37.
PMID: 12508266
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Immunoassay for soluble RANKL (receptor activator of NF-kappaB ligand) in serum.
Hawa, G., Brinskelle-Schmal, N., Glatz, K., Maitzen, S., Woloszczuk, W., 2003. Clin. Lab. 49, 461–463
PMID: 14572201
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Osteoprotegerin and sRANKL serum levels in multiple myeloma patients.
Kruk, B., Kraj, M., Centkowski, P., Sokołowska, U., 2003. Cent Eur J Immunol 27, 129–135
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Krystufkova, O., Niederlova, J., Senolt, V., Hladikova, M., Ruzickova, S., Vencovsky, J., 2003. Arthritis Res Ther 5, 102.
PMID: null; PMCID: PMC2833669
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Schoppet, M., Schaefer, J.R., Hofbauer, L.C., 2003. Circulation 107, e76;
PMID: 12654623
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High serum osteoprotegerin and low RANKL in primary biliary cirrhosis.
Szalay, F., Hegedus, D., Lakatos, P.L., Tornai, I., Bajnok, E., Dunkel, K., Lakatos, P., 2003. J. Hepatol. 38, 395–400
PMID: 12663228
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Terpos, E., Samarkos, M., Meletis, C., Apostolidou, E., Tsironi, M., Korovesis, K., Mavrogianni, D., Viniou, N., Meletis, J., 2003a. Int. J. Hematol. 78, 344–348
PMID: 14686493
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Terpos, E., Szydlo, R., Apperley, J.F., Hatjiharissi, E., Politou, M., Meletis, J., Viniou, N., Yataganas, X., Goldman, J.M., Rahemtulla, A., 2003. Blood 102, 1064–1069.
PMID: 12689925
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von Tirpitz, C., Epp, S., Klaus, J., Mason, R., Hawa, G., Brinskelle-Schmal, N., Hofbauer, L.C., Adler, G., Kratzer, W., Reinshagen, M., 2003. Eur J Gastroenterol Hepatol 15, 1165–1170.
PMID: 14560148
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Pamidronatе is an effective treatment for osteoporosis in patients with beta-thalassaemia.
Voskaridou, E., Terpos, E., Spina, G., Palermos, J., Rahemtulla, A., Loutradi, A., Loukopoulos, D., 2003. Br. J. Haematol. 123, 730–737
PMID: 14616979
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Giuliani, N., Colla, S., Sala, R., Moroni, M., Lazzaretti, M., La Monica, S., Bonomini, S., Hojden, M., Sammarelli, G., Barillè, S., Bataille, R., Rizzoli, V., 2002. Blood 100, 4615–4621.
PMID: 12393684
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Decreased bone density, elevated serum osteoprotegerin, and beta-cross-laps in Wilson disease.
Hegedus, D., Ferencz, V., Lakatos, P.L., Meszaros, S., Lakatos, P., Horvath, C., Szalay, F., 2002. J. Bone Miner. Res. 17, 1961–1967.
PMID: 12412803
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Osteoprotegerin deficiency and juvenile Paget’s disease.
Whyte, M.P., Obrecht, S.E., Finnegan, P.M., Jones, J.L., Podgornik, M.N., McAlister, W.H., Mumm, S., 2002. N. Engl. J. Med. 347, 175–184.
PMID: 12124406
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Elevated levels of osteoprotegerin (OPG) and hepatocyte growth factor (HGF) in rheumatoid arthritis.
Feuerherm, A.J., Borset, M., Seidel, C., Sundan, A., Leistad, L., Ostensen, M., Faxvaag, A., 2001. Scand. J. Rheumatol. 30, 229–234
PMID: 11578019
Serum RANKL, osteoprotegerin (OPG), and RANKL/OPG ratio in nephrotic children.
Wasilewska, A., Rybi-Szuminska, A., Zoch-Zwierz, W., 2010. Pediatr. Nephrol. 25, 2067–2075.
PMID: 20602239; PMCID: PMC2923718
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We have been using the Biomedica ELISA kits for measurements of OPG and soluble RANKL in several contexts and are very pleased with how well they perform both in terms of specificity and reproducibility. For the RANKL kit the measurements are validated by no measurable free soluble RANKL when analyzing culture media where a RANKL inhibitor has been added. Furthermore, we have measured the proteins in a range of human body fluids as well as in tissue and cell culture media and the kits work both when larger and smaller concentrations are measured and when samples are diluted.