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"Jee-Hye Choi"

Original Articles

Age-related Reference Intervals for Total Collagen-I-N-terminal Propeptide in Healthy Korean Population
Jun-Il Yoo, Ae-Ja Park, Yong Kwan Lim, Oh Joo Kweon, Jee-Hye Choi, Jae Hyuk Do, Sunjoo Kim, Youngri Kim, Yong-Chan Ha
J Bone Metab 2018;25(4):235-241.
Published online November 30, 2018
DOI: https://doi.org/10.11005/jbm.2018.25.4.235
Background

Procollagen type I N-terminal propeptide (PINP) is one of the most clinically useful bone formation biomarkers. Therefore, the purpose of this study was to independently evaluate the performance of automated total PINP assay and established age- and gender-specific reference intervals for PINP in healthy Korean population.

Methods

The imprecision, linearity, and detection capability of Elecsys total PINP assay was determined and reference interval was established using 599 serums from Korean population with normal bone mineral densities based on bone densitometry. Age groups were divided into 20s, 30s, 40s, 50s, 60s and over.

Results

Elecsys total PINP had excellent performance in imprecision, linearity, and detection capability. When partitioning age groups in Korean male and female populations, there was significant difference in total PINP between different age groups. In male populations, PINP level was decreased with increasing age, then it remained steady after middle-age. In female populations, there was a decreasing tendency similar to that in the male population with a sharp increase in the 50 to 59 age group.

Conclusions

Elecsys total PINP assay showed precise and reliable performance in our study. We established age-related PINP reference intervals for Korean male and female population with normal bone mineral densities.

Citations

Citations to this article as recorded by  Crossref logo
  • 1. Proposed common reference intervals for reference bone turnover markers in osteoporosis
    S.A. Paul Chubb, Samuel D. Vasikaran
    Pathology.2026; 58(2): 181.     CrossRef
  • 2. Heavy resistance training provides short-term benefits on bone formation in well-functioning older adults
    Mads Bloch-Ibenfeldt, Anne Theil Gates, Niklas Rye Jørgensen, Allan Linneberg, Mette Aadahl, Michael Kjær, Carl-Johan Boraxbekk
    Bone.2025; 193: 117393.     CrossRef
  • 3. Update on the role of bone turnover markers in the diagnosis and management of osteoporosis: a consensus paper from The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO), International
    Harjit Pal Bhattoa, Samuel Vasikaran, Ioulia Trifonidi, Georgia Kapoula, Giovanni Lombardi, Niklas Rye Jørgensen, Richard Pikner, Masakazu Miura, Roland Chapurlat, Mickael Hiligsmann, Mathias Haarhaus, Pieter Evenepoel, Hanne Skou Jørgensen, Markus Herrma
    Osteoporosis International.2025; 36(4): 579.     CrossRef
  • 4. The Use of Bone-Turnover Markers in Asia-Pacific Populations
    Samuel Vasikaran, Subashini C. Thambiah, Rui Zhen Tan, Tze Ping Loh
    Annals of Laboratory Medicine.2024; 44(2): 126.     CrossRef
  • 5. Long-term second-generation antipsychotics decreases bone formation and resorption in male patients with schizophrenia
    Fan Wang, Hui Li, Kaijun Yi, Yan Wu, Qingtao Bian, Baoyan Guo, Xingguang Luo, Yimin Kang, Qi Wu, Qinghe Ma
    Psychopharmacology.2024; 241(9): 1771.     CrossRef
  • 6. Comparison of the pleiotropic effect of atorvastatin and rosuvastatin on postmenopausal changes in bone turnover: A randomized comparative study
    Anna Braszak-Cymerman, Marta K. Walczak, Mary-Tiffany Oduah, Aleksandra Ludziejewska, Wiesław Bryl
    Medicine.2024; 103(19): e38122.     CrossRef
  • 7. Bone turnover markers reference database in five Southeast Asian countries
    Joon Kiong Lee, Hui Min Khor, Pojchong Chotiyarnwong, Aasis Unnanuntana, Tanawat Amphansap, Julie Li-Yu, Monica Therese Cating-Cabral, Vincent Luceño, Ngoc Cao, Thuy Tran, Seng Bin Ang, Rukshini Puvanendran, Sumaiyah Mat
    Bone.2024; 187: 117182.     CrossRef
  • 8. Number of contiguous vertebral cross-links in the spine indicates bone formation: a cross-sectional study
    Mitsuru Furukawa, Reo Shibata, Kunimasa Okuyama
    BMC Musculoskeletal Disorders.2023;[Epub]     CrossRef
  • 9. Serum levels of bone turnover markers including calculation of Z-scores: Data from a Dutch healthy reference cohort
    Mark Siderius, Suzanne Arends, Anneke Muller Kobold, Lucie Wagenmakers, Karin Koerts, Anneke Spoorenberg, Eveline van der Veer
    Bone Reports.2023; 19: 101724.     CrossRef
  • 10. Effectiveness and Usefulness of Bone Turnover Marker in Osteoporosis Patients: A Multicenter Study in Korea
    Jun-Il Yoo, So Young Park, Deog-Yoon Kim, Jeonghoon Ha, Yumie Rhee, Namki Hong, Jung-Taek Kim, Hyon-Seung Yi, Bu Kyung Kim, Young-Kyun Lee, Yong-Chan Ha, Yun Kyung Jeon, Ha-Young Kim, Seong Hee Ahn, Seongbin Hong, Sang-Yeob Lee
    Journal of Bone Metabolism.2023; 30(4): 311.     CrossRef
  • 11. Intra-Individual Changes in Total Procollagen-Type 1 N-terminal Propeptide in a Korean Adult Population
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Diagnostics.2022; 12(10): 2399.     CrossRef
  • 12. Reference Intervals for Bone Turnover Markers in Korean Healthy Women
    Dong Hyeok Cho, Jin Ook Chung, Min Young Chung, Jeong-Ran Cho, Dong Jin Chung
    Journal of Bone Metabolism.2020; 27(1): 43.     CrossRef
  • 13. Potential Biomarkers to Improve the Prediction of Osteoporotic Fractures
    Beom-Jun Kim, Seung Hun Lee, Jung-Min Koh
    Endocrinology and Metabolism.2020; 35(1): 55.     CrossRef
  • 14. Serum Procollagen Type I N-Terminal Propeptide and Osteocalcin Levels in Korean Children and Adolescents
    Ji Seon Choi, Ikchun Park, Soo Jung Lee, Hyo Jin Ju, Hyeyoung Lee, Jayoung Kim
    Yonsei Medical Journal.2019; 60(12): 1174.     CrossRef
  • 15. Clinical Application of Bone Turnover Markers in Osteoporosis in Korea
    So Young Park, Seong Hee Ahn, Jun-Il Yoo, Youn-Jee Chung, Yun Kyung Jeon, Byung-Ho Yoon, Ha Young Kim, Seung Hun Lee, Jehoon Lee, Seongbin Hong
    Journal of Bone Metabolism.2019; 26(1): 19.     CrossRef
  • 6,697 View
  • 59 Download
  • Crossref
Measurement Uncertainty in Spine Bone Mineral Density by Dual Energy X-ray Absorptiometry
Ae-Ja Park, Jun-Il Yoo, Jee-Hye Choi, Kyun Shik Chae, Chang Geun Kim, Dal Sik Kim
J Bone Metab 2017;24(2):105-109.
Published online May 31, 2017
DOI: https://doi.org/10.11005/jbm.2017.24.2.105
Background

The purpose of this study was to calculate the measurement uncertainty of the process of bone mineral density (BMD) analysis using dual energy X-ray absorptiometry with traceability.

Methods

Between March 2015 and October 2016, among healthy participants in their 20s and 30s, the study included those who had not taken calcium, vitamin D supplements and steroids and were without a history of osteoporosis, osteopenia and diseases related to osteoporosis. Relational expression of the model was established based on Guide to the Expression of Uncertainty in Measurements and Eurachem and the uncertainty from each factor was evaluated.

Results

The combined standard uncertainty was 0.015, while the expanded uncertainty was 0.0298. The factor-specific standard uncertainties that occurred in the process of measuring BMD were 0.72% for the calibration curve, 0.9% for the internal quality control (IQC) using Aluminum Spine Phantom, 0.58% for European Spine Phantom (ESP), and 0.9% for the inspector precision (IP).

Conclusions

The combined standard uncertainty of the spine BMD corrected with ESP was 0.015 when measured at one time and targeting one participant. The uncertainties of the accuracy of the IQC and the IP were higher than that of the other factors. Therefore, there will be a need for establishment of protocols to lower these uncertainties.

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Discrepancy between Vitamin D Total Immunoassays due to Various Cross-reactivities
Jun Hyung Lee, Jee-Hye Choi, Oh Joo Kweon, Ae Ja Park
J Bone Metab 2015;22(3):107-112.
Published online August 31, 2015
DOI: https://doi.org/10.11005/jbm.2015.22.3.107
Background

The purpose of this study was to find out the cause of discrepancy between various automated immunoassays for 25-hydroxy-vitamin D (25-[OH]D).

Methods

National Institute of Standards & Technology Standard Reference Material (SRM) 972a is SRM for 25-(OH)D and consists of 4 vials of frozen serum with different concentrations of 25-(OH)D. Each concentration was measured 6 times in 3 different immunoassays: ADVIA Vitamin D Total assay (Siemens Healthcare, Erlangen, Germany), ARCHITECT 25-(OH)D (Abbott Laboratories, Abbott Park, IL, USA), and COBAS Vitamin D Total assay (Roche Diagnostics, Basel, Switzerland).

Results

When using the certified reference values of SRM 972a as it is, discarding the cross-reactivity of each immunoassay, for ADVIA, the coefficient of determination (R2) as a score of regression analysis was 0.8995 and maximal difference between measured value and certified reference value was 3.6 ng/mL in level 3. The R2 and maximal differences of ARCHITECT were 0.5377 and 6.9 ng/mL, respectively, in level 4. Those of COBAS were 0.3674 and 22.3 ng/mL, respectively, in level 4. When considering cross-reactivities of each immunoassays to various 25-(OH)D metabolites, the ADVIA had R2 and maximal difference of 0.9254 and 3.3 ng/mL, respectively, in level 3. For ARCHITECT, the R2 and maximal differences were 0.7602 and 5.1 ng/mL, respectively, in level 1. Those of COBAS were 0.9284 and 4.9 ng/mL, respectively, in level 1.

Conclusions

The cause of discrepancies between vitamin D immunoassays was mainly on the difference in cross-reactivities to various vitamin D metabolites. The discrepancies can be considerably decreased by considering cross-reactivities of each immunoassay.

Citations

Citations to this article as recorded by  Crossref logo
  • 1. Toxoplasma gondii IgG seroprevalence in Qatar and the impact of assay variability on epidemiological estimates
    Nadin Younes, Reem Al-Ansari, Rahma Ibrahim, Farah Trad, Nouran Zein, Parveen B Nizamuddin, Alma Al-louzi, Fatima Al Khanji, Dania Yaseen, Asmaa AlTaweel, Hisham ElBanawy, Hadi M. Yassin, Laith J. Abu-Raddad, Gheyath K. Nasrallah
    Acta Tropica.2026; 278: 108072.     CrossRef
  • 2. PTH levels and establishment of reference intervals: Impact of vitamin D and renal function
    Luis Agustín Ramírez Stieben, María Lorena Brance, Marina Verónica Belardinelli, Diamela Bolzán, Estefanía Pustilnik, Rodolfo Néstor Feldman, Lucas Ricardo Brun
    Endocrinología, Diabetes y Nutrición.2025; 72(2): 101527.     CrossRef
  • 3. PTH levels and establishment of reference intervals: Impact of vitamin D and renal function
    Luis Agustín Ramírez Stieben, María Lorena Brance, Marina Verónica Belardinelli, Diamela Bolzán, Estefanía Pustilnik, Rodolfo Néstor Feldman, Lucas Ricardo Brun
    Endocrinología, Diabetes y Nutrición (English ed.).2025; 72(2): 101527.     CrossRef
  • 4. Serum 25-hydroxyvitamin D and 24,25-dihydroxyvitamin D are decreased in dogs with sinonasal aspergillosis
    Arnaud Snoeck, Jared A. Jaffey, Frédéric Billen, Nina F. Rodrigues, Stéphanie Peeters, Caroline Le Goff, Etienne Cavalier, Dominique Peeters, Cécile Clercx
    The Veterinary Journal.2025; 310: 106318.     CrossRef
  • 5. Accre 8 emerging point of care CLIA system for vitamin B12 assessment compared with three established assays
    Farah M. Trad, Tasneem AlHamad, Nadin Younes, Shaden Abunasser, Salma Younes, Parveen B. Nizamuddin, Dayana El Chaar, Israa M. Salameh, Nader I. Al-dewik, Wanida Laiwattanapaisal, Pattramon Aungbamnet, Pollanat Loungjinda, Palanee Ammaranond, Meng Li, Lai
    Scientific Reports.2025;[Epub]     CrossRef
  • 6. An AuNPs-based electrochemical aptasensor for the detection of 25-hydroxy vitamin D3
    Tongji Cai, Meilun Chen, Jie Yang, Chunhua Tang, Xiaoling Lu, Zheng Wei, Hanbing Jiang, Yucui Hou, Jia Zhao, Peng Yu
    Analytical Sciences.2024; 40(4): 599.     CrossRef
  • 7. A highly sensitive LC-MS/MS method for quantitative determination of 7 vitamin D metabolites in mouse brain tissue
    Andrea Joy Stephenson, Benjamin Hunter, Paul Nicholas Shaw, Nur Sofiah Abu Kassim, Robert Trengove, Ryu Takechi, Virginie Lam, John Mamo
    Analytical and Bioanalytical Chemistry.2023; 415(7): 1357.     CrossRef
  • 8. Method validation for a greener approach to the quantification of 25-hydroxy vitamin D3 in patient serum using supported liquid extraction and liquid chromatography-tandem mass spectrometry
    Gavin Turrell, Thilini Thrimawithana, Catherine Itsiopoulos, Ronda F. Greaves, Rosita Zakaria
    Clinical Chemistry and Laboratory Medicine (CCLM).2023; 61(12): e255.     CrossRef
  • 9. Vitamin D and Its Metabolites Status before and during Chemotherapy in Caucasian Breast Cancer Patients
    Małgorzata Kimsa-Furdzik, Anna Bednarek, Grzegorz Hibner, Paulina Czajka-Francuz, Sylwia Cisoń-Jurek, Dobromiła Karawasiecka, Bożena Szymczak, Jerzy Wojnar, Jerzy Chudek, Tomasz Francuz
    Metabolites.2023; 13(9): 996.     CrossRef
  • 10. pH assists simultaneous determination of folic acid and vitamin D3in biological fluids using a novel Tb3+–acyclovir optical biosensor
    Sarah Alharthi, M. S. Attia, M. N. Abou-Omar
    RSC Advances.2021; 11(34): 20865.     CrossRef
  • 11. Graphene oxide and fluorescent aptamer based novel biosensor for detection of 25-hydroxyvitamin D3
    Ritika Gupta, Sunaina Kaul, Vishal Singh, Sandeep Kumar, Nitin Kumar Singhal
    Scientific Reports.2021;[Epub]     CrossRef
  • 12. In sickness and in health: pivotal role of vitamin D
    Tomislav Pavicic, Alen Vrtaric, Lara Milevoj Kopcinovic, Davorka Herman Mahecic, Ivan Bolanca, Jelena Culej, Marijana Miler, Adriana Unic, Nora Nikolac Gabaj
    Biochemia medica.2020; 30(2): 202.     CrossRef
  • 13. Improved sample preparation method for fast LC-MS/MS analysis of vitamin D metabolites in serum
    R. Rola, K. Kowalski, T. Bieńkowski, S. Studzińska
    Journal of Pharmaceutical and Biomedical Analysis.2020; 190: 113529.     CrossRef
  • 14. Clinical Significance of Analysis of Vitamin D Status in Various Diseases
    Magdalena Kowalówka, Anna K. Główka, Marta Karaźniewicz-Łada, Grzegorz Kosewski
    Nutrients.2020; 12(9): 2788.     CrossRef
  • 15. Performance Evaluation and Measurement Uncertainty Determination of the New Version of the Abbott ARCHITECT 25-OH Vitamin D 5P02 Assay
    Yong Kwan Lim, Ae Ja Park, Oh Joo Kweon, Jee-Hye Choi
    American Journal of Clinical Pathology.2019; 151(2): 209.     CrossRef
  • 16. Vitamin D Deficiency in the Gulf Cooperation Council: Exploring the Triad of Genetic Predisposition, the Gut Microbiome and the Immune System
    Parul Singh, Manoj Kumar, Souhaila Al Khodor
    Frontiers in Immunology.2019;[Epub]     CrossRef
  • 17. Development of a method for multiple vitamin D metabolite measurements by liquid chromatography coupled with tandem mass spectrometry in dried blood spots
    R. Rola, K. Kowalski, T. Bieńkowski, A. Kołodyńska-Goworek, S. Studzińska
    The Analyst.2019; 144(1): 299.     CrossRef
  • 18. Parathyroid hormone reference ranges in healthy individuals classified by vitamin D status
    N. Yalla, G. Bobba, G. Guo, A. Stankiewicz, R. Ostlund
    Journal of Endocrinological Investigation.2019; 42(11): 1353.     CrossRef
  • 19. Performance Evaluation of Elecsys Vitamin D Total II Assay Using Roche Modular Analytics E170
    Eun Jung Cho, Hyunjung Kim, Jeongho Park, Dongsik Kim, Youngjong Cha, Hae Kyung Lee
    Journal of Laboratory Medicine and Quality Assurance.2018; 40(2): 109.     CrossRef
  • 20. Comparison of Three Commercially Available Assays for Measurement of Vitamin D
    Dahae Yang, Hyunyong Hwang
    Laboratory Medicine Online.2017; 7(3): 120.     CrossRef
  • 21. Concerning the vitamin D reference range: pre-analytical and analytical variability of vitamin D measurement
    Davide Ferrari, Giovanni Lombardi, Giuseppe Banfi
    Biochemia Medica.2017;[Epub]     CrossRef
  • 25,521 View
  • 27 Download
  • Crossref
Result of Proficiency Test and Comparison of Accuracy Using a European Spine Phantom among the Three Bone Densitometries
Ae Ja Park, Jee-Hye Choi, Hyun Kang, Ki Jeong Park, Ha Young Kim, Seo Hwa Kim, Deog-Yoon Kim, Seung-Hwan Park, Yong-Chan Ha
J Bone Metab 2015;22(2):45-49.
Published online May 31, 2015
DOI: https://doi.org/10.11005/jbm.2015.22.2.45
Background

Although dual energy X-ray absorptiometry (DXA) is known to standard equipment for bone mineral density (BMD) measurements. Different results of BMD measurement using a number of different types of devices are difficult to use clinical practice. The purpose of this study was to evaluate discrepancy and standardizations of DXA devices from three manufactures using a European Spine Phantom (ESP).

Methods

We calculated the accuracy and precision of 36 DXA devices from three manufacturers (10 Hologic, 16 Lunar, and 10 Osteosys) using a ESP (semi-anthropomorphic). The ESP was measured 5 times on each equipment without repositioning. Accuracy was assessed by comparing BMD (g/cm2) values measured on each device with the actual value of the phantom. Precision was assessed by the coefficient of variation (CVsd).

Results

Lunar devices were, on average, 22%, 8.3%, and 5% overestimation for low (L1) BMD values, medium (L2), and high (L3) BMD values. Hologic devices were, on average, 6% overestimation for L1 BMD, and 5% and 6.2% underestimation for L2 and L3 BMD values. Osteosys devices was, on average, 12.7% (0.063 g/cm2), 6.3% (0.062 g/cm2), and 5% (0.075 g/cm2) underestimation for L1, L2, and L3, respectively. The mean CVsd for L1-L3 BMD were 0.01%, 0.78%, and 2.46% for Lunar, Hologic, and Osteosys devices respectively.

Conclusions

The BMD comparison in this study demonstrates that BMD result of three different devices are significant different between three devices. Differences of BMD between three devices are necessary to BMD standardization.

Citations

Citations to this article as recorded by  Crossref logo
  • 1. Amino Acid Complexed Minerals Zn, Mn, and Cu Improve Bone and Intestinal Characteristics in Laying Pullets
    Marcos José Batista dos Santos, Carlos Bôa-Viagem Rabello, Andresa de Gusmão Faria, Waleska R. L. Medeiros-Ventura, Rogério Ventura Silva Junior, Heraldo Bezerra de Oliveira, Fabiano Sellos Costa, Mércia Rodrigues Barros, Alba K. Fireman
    Biological Trace Element Research.2025;[Epub]     CrossRef
  • 2. The Impact of Phytase and Different Levels of Supplemental Amino Acid Complexed Minerals in Diets of Older Laying Hens
    Waleska Medeiros-Ventura, Carlos Rabello, Marcos Santos, Mércia Barros, Rogério Silva Junior, Heraldo Oliveira, Fabiano Costa, Andresa Faria, Alba Fireman
    Animals.2023; 13(23): 3709.     CrossRef
  • 3. Complexed amino acid minerals vs. bis-glycinate bound minerals: Impact on the performance of old laying hens
    Marcos J.B. Santos, Maria C.M.M. Ludke, Leandro M. Silva, Carlos B.V. Rabello, Mércia R. Barros, Fabiano S. Costa, Clariane S. Santos, Jamille S.S. Wanderley
    Animal Nutrition.2023;[Epub]     CrossRef
  • 4. Accuracy, Linearity and Precision of Spine QCT vBMD Phantom Measurements for Different Brands of CT Scanner: A Multicentre Study
    Yingwei Zhao, Kai Li, Yangyang Duanmu, Ling Wang, Xiaoming Xu, Yong Zhang, Jing Tang, Yujing Zhang, Zhenlin Li, Karen Hind, Glen M. Blake, Xiaoguang Cheng
    Journal of Clinical Densitometry.2022; 25(1): 34.     CrossRef
  • 5. Different Models of Dual-Energy Bone DXA Scanners: A Comparative Study
    Alexey V. Petraikin, Ekaterina S. Akhmad, Dmitry S. Semenov, Zlata R. Artyukova, Nikita D. Kudryavtsev, Fedor A. Petriaikin, Ludmila A. Nizovtsova
    Traumatology and Orthopedics of Russia.2022; 28(2): 48.     CrossRef
  • 6. Reply to comments on “Effect of selective serotonin reuptake inhibitors on bone mineral density: a systematic review and meta-analysis”
    C. Zhou
    Osteoporosis International.2022; 33(12): 2657.     CrossRef
  • 7. Cross-Calibration of Bone Mineral Densities and Body Composition between GE Lunar Prodigy and Osteosys Primus
    Yong-Chan Ha, Jun-Il Yoo
    Journal of Bone Metabolism.2021; 28(3): 215.     CrossRef
  • 8. To help practitioner: monitoring treatment of osteoporosis in study of bone mineral density on different axial densitometers
    O. A. Nikitinskaya, N. V. Toroptsova
    Medical alphabet.2020; 2(37): 22.     CrossRef
  • 9. Whole-body dual-energy X-ray absorptiometry demonstrates better reliability than segmental body composition analysis in college-aged students
    Petr Kutáč, Václav Bunc, Martin Sigmund, Cherilyn N. McLester
    PLOS ONE.2019; 14(4): e0215599.     CrossRef
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  • 11. Bone mineral density in healthy Syrian women measured by dual energyX-ray absorptiometry
    Mohamed Adel Bakir, Kholoud B Hammad, Khuzama M Habil
    Anthropological Review.2018; 81(1): 18.     CrossRef
  • 12. Measurement Uncertainty in Spine Bone Mineral Density by Dual Energy X-ray Absorptiometry
    Ae-Ja Park, Jun-Il Yoo, Jee-Hye Choi, Kyun Shik Chae, Chang Geun Kim, Dal Sik Kim
    Journal of Bone Metabolism.2017; 24(2): 105.     CrossRef
  • 9,565 View
  • 28 Download
  • Crossref