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Fahimfar N, Gharibzadeh S, Khashayar P, Rajabian R, Ranjbar Omrani G, Bahrami A, Nabipour I, Ostovar A, Larijani B. Iranian Multicenter Osteoporosis Studies (IMOS) during last decade: rationale, main findings, lessons learned and the way forward. J Diabetes Metab Disord 2024; 23:1449-1454. [PMID: 39610493 PMCID: PMC11599673 DOI: 10.1007/s40200-020-00600-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/27/2020] [Indexed: 10/23/2022]
Abstract
Purpose Osteoporosis remains a major public health concern, considering its high prevalence along with its association with osteoporotic fractures. It imposes a heavy burden on the society worldwide as the population ages. This paper aims to provide a brief review on Iranian multicenter osteoporosis studies (IMOS) studies and provide some recommendations for improvement. Methods IMOS studies were conducted to investigate the prevalence of osteoporosis and related risk factors. This paper provides a general view on the Iranian multicenter osteoporosis studies (IMOS), conducted during last decades. Results The results showed a high prevalence of osteoporosis and vitamin D deficiency in the Iranian population. Although the study protocols were mainly similar, some differences were observed in terms of the study population and design. The protocol of IMOS-3 was modified to overcome the setbacks noted in the previous studies; however, it was implemented in two cities with noticeably different socioeconomic and geographical characteristics from five cities where the first phase was conducted, resulting in different lifestyles and habits. Although previous IMOS studies have raised major concerns regarding the high prevalence of osteoporosis and vitamin D deficiency, interpretation should be made with caution given the differences, especially in the surveyed cities. Such discrepancies cause problems in trend analysis, and nationally representative samplings are preferably needed to correctly compare the prevalence of osteoporosis and related risk factors. Conclusions Considering the aging population and the importance of osteoporosis and its complication, developing a standard surveillance system to obtain valid and nationally representative estimates is recommended.
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Affiliation(s)
- Noushin Fahimfar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Safoora Gharibzadeh
- Department of Epidemiology and Biostatistics, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, Iran
| | - Patricia Khashayar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Center for Microsystems Technology, Imec and Ghenti University, Ghent, Belgium
| | - Reza Rajabian
- Department of Endocrinology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Amir Bahrami
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Iraj Nabipour
- The Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Afshin Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Yenice C, Chahin N, Jauset-Rubio M, Hall M, Biggs P, Dimai HP, Obermayer-Pietsch B, Ortiz M, O’Sullivan CK. Semiautomated Electrochemical Melting Curve Analysis Device for the Detection of an Osteoporosis Associated Single Nucleotide Polymorphism in Blood. Anal Chem 2023; 95:14192-14202. [PMID: 37713191 PMCID: PMC10534999 DOI: 10.1021/acs.analchem.3c01668] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/31/2023] [Indexed: 09/16/2023]
Abstract
The detection of single nucleotide polymorphisms (SNPs) is of increasing importance in many areas including clinical diagnostics, patient stratification for pharmacogenomics, and advanced forensic analysis. In the work reported, we apply a semiautomated system for solid-phase electrochemical melting curve analysis (éMCA) for the identification of the allele present at a specific SNP site associated with an increased risk of bone fracture and predisposition to osteoporosis. Asymmetric isothermal recombinase polymerase amplification using ferrocene labeled forward primers was employed to generate single stranded redox labeled amplicons. In a first approach to demonstrate the proof of concept of combining asymmetric RPA with solid-phase éMCA, a simplified system housing a multielectrode array within a polymeric microsystem, sandwiched between two aluminum plates of a heater device, was used. Sample manipulation through the microfluidic channel was controlled by a syringe pump, and an external Ag/AgCl reference electrode was employed. Individual electrodes of the array were functionalized with four different oligonucleotide probes, each probe equivalent in design with the exception of the middle nucleotide. The isothermally generated amplicons were allowed to hybridize to the surface-tethered probes and subsequently subjected to a controlled temperature ramp, and the melting of the duplex was monitored electrochemically. A clear difference between the fully complementary and a single mismatch was observed. Having demonstrated the proof-of-concept, a device for automated éMCA with increased flexibility to house diverse electrode arrays with internal quasi-gold reference electrodes, higher resolution, and broader melting temperature range was developed and exploited for the detection of SNP hetero/homozygosity. Using the optimized conditions, the system was applied to the identification of the allele present at an osteoporosis associated SNP site, rs2741856, in 10 real fingerprick/venous blood samples, with results validated using Sanger sequencing.
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Affiliation(s)
- Cansu
Pinar Yenice
- INTERFIBIO
Research Group, Departament d’Enginyeria Química, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Nassif Chahin
- INTERFIBIO
Research Group, Departament d’Enginyeria Química, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Miriam Jauset-Rubio
- INTERFIBIO
Research Group, Departament d’Enginyeria Química, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Matthew Hall
- Labman
Automation Ltd., Seamer Hill, Stokesley, North Yorkshire TS9 5NQ, U.K.
| | - Phil Biggs
- Labman
Automation Ltd., Seamer Hill, Stokesley, North Yorkshire TS9 5NQ, U.K.
| | - Hans-Peter Dimai
- Division
of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8010 Graz, Austria
| | - Barbara Obermayer-Pietsch
- Division
of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8010 Graz, Austria
| | - Mayreli Ortiz
- INTERFIBIO
Research Group, Departament d’Enginyeria Química, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Ciara K. O’Sullivan
- INTERFIBIO
Research Group, Departament d’Enginyeria Química, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Institució
Catalana de Recerca i Estudis Avancats (ICREA), 08010 Barcelona, Spain
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Tootee A, Larijani B. World osteoporosis day: celebrating two decades of progress in preventing osteoporotic fractures in Iran. J Diabetes Metab Disord 2019; 18:725-727. [PMID: 31890697 PMCID: PMC6915240 DOI: 10.1007/s40200-019-00465-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 11/04/2019] [Indexed: 11/27/2022]
Affiliation(s)
- Ali Tootee
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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4
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Khashayar P, Keshtkar A, Ostovar A, Larijani B, Johansson H, Harvey NC, Lorentzon M, McCloskey E, Kanis JA. FRAX-based intervention and assessment thresholds for osteoporosis in Iran. Osteoporos Int 2019; 30:2225-2230. [PMID: 31372709 DOI: 10.1007/s00198-019-05078-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 07/01/2019] [Indexed: 12/28/2022]
Abstract
UNLABELLED We compared the utility of the current Iranian guidelines that recommend treatment in women with a T-score ≤ - 2.5 SD with a FRAX-based intervention threshold equivalent to women of average BMI with a prior fragility fracture. Whereas the FRAX-based intervention threshold identified women at high fracture probability, the T-score threshold was less sensitive, and the associated fracture risk decreased markedly with age. INTRODUCTION The fracture risk assessment algorithm FRAX® has been recently calibrated for Iran, but guidance is needed on how to apply fracture probabilities to clinical practice. METHODS The age-specific ten-year probabilities of a major osteoporotic fracture were calculated in women with average BMI to determine fracture probabilities at two potential intervention thresholds. The first comprised the age-specific fracture probabilities associated with a femoral neck T-score of - 2.5 SD, in line with current guidelines in Iran. The second approach determined age-specific fracture probabilities that were equivalent to a woman with a prior fragility fracture, without BMD. The parsimonious use of BMD was additionally explored by the computation of upper and lower assessment thresholds for BMD testing. RESULTS When a BMD T-score ≤ - 2.5 SD was used as an intervention threshold, FRAX probabilities in women aged 50 years was approximately two-fold higher than in women of the same age but with an average BMD and no risk factors. The relative increase in risk associated with the BMD threshold decreased progressively with age such that, at the age of 80 years or more, a T-score of - 2.5 SD was actually protective. The 10-year probability of a major osteoporotic fracture by age, equivalent to women with a previous fracture rose with age from 4.9% at the age of 50 years to 17%, at the age of 80 years, and identified women at increased risk at all ages. CONCLUSION Intervention thresholds based on BMD alone do not effectively target women at high fracture risk, particularly in the elderly. In contrast, intervention thresholds based on fracture probabilities equivalent to a "fracture threshold" target women at high fracture risk.
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Affiliation(s)
- P Khashayar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Center for Microsystems Technology, Imec and Ghent University, 9052, Gent-Zwijnaarde, Belgium
| | - A Keshtkar
- Department of Health Sciences Education Development, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - A Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - B Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - H Johansson
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, UK
| | - M Lorentzon
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Geriatric Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
| | - E McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
- Centre for Integrated research in Musculoskeletal Ageing (CIMA), Mellanby Centre for Bone Research, University of Sheffield, Sheffield, UK
| | - J A Kanis
- Mary McKillop Health Institute, Australian Catholic University, Melbourne, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
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Inal Kabala S, Yagar H, Ozcan HM. A new biosensor for osteoporosis detection. Prep Biochem Biotechnol 2019; 49:511-520. [DOI: 10.1080/10826068.2019.1587628] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Sevilay Inal Kabala
- Health Services Vocational High School, Kırklareli University, Kırklareli, Turkey
| | - Hulya Yagar
- Department of Chemistry, Faculty of Science, Trakya University, Edirne, Turkey
| | - Hakkı Mevlut Ozcan
- Department of Chemistry, Faculty of Science, Trakya University, Edirne, Turkey
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Khashayar P, Amoabediny G, Larijani B, Hosseini M, Verplancke R, De Keersmaecker M, Adriaens A, Goemaere S, Fiers T, Vanfleteren J. A highly sensitive electrochemical biosensor based on AuNP-modified gold electrodes for selective determination of serum levels of crosslaps. 3 Biotech 2017; 7:312. [PMID: 28955609 PMCID: PMC5597544 DOI: 10.1007/s13205-017-0919-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 08/16/2017] [Indexed: 10/18/2022] Open
Abstract
This article explains a step-wise protocol to develop an electrochemical sensor to quantify serum levels of C-telopeptide (CTX) crosslinks also known as crosslaps in a matter of minutes and with high level of accuracy. The technique needs only one-step (incubation) and can thus be used for point of care screening. Due to the excellent electrical properties of the as-prepared immunosensor, CTX levels were successfully measured from 1 to 1000 pg/mL. This is while the normal reference of the marker is 50-450 pg/mL, suggesting that the sensor can acceptably detect CTX. The results also showed a good correlation with ECLIA in measuring serum levels of CTX.
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Affiliation(s)
- Patricia Khashayar
- Nanobiotechnology Department, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
- Center for Microsystems Technology, IMEC and Ghent University, Zwijnaarde, Ghent, Belgium
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ghassem Amoabediny
- Department of Biotechnology, Faculty of Chemical Engineering, School of Engineering, University of Tehran, Tehran, Iran
- Nanobiotechnology Department, Research Center for New Technology in Life Sciences Engineering, University of Tehran, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute (EMRI), Shariati Hospital, Tehran University of Medical Sciences, Kargar St., Tehran, Iran
| | - Morteza Hosseini
- Nanobiotechnology Department, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
| | - Rik Verplancke
- Center for Microsystems Technology, IMEC and Ghent University, Zwijnaarde, Ghent, Belgium
| | - Michel De Keersmaecker
- Department of Analytical Chemistry, Ghent University, Krijgslaan 281 (S12), Ghent, Belgium
| | - Annemie Adriaens
- Department of Analytical Chemistry, Ghent University, Krijgslaan 281 (S12), Ghent, Belgium
| | - Stefan Goemaere
- Unit for Osteoporosis and Metabolic Bone Diseases, Ghent University Hospital, Ghent, Belgium
| | - Tom Fiers
- Unit for Osteoporosis and Metabolic Bone Diseases, Ghent University Hospital, Ghent, Belgium
| | - Jan Vanfleteren
- Center for Microsystems Technology, IMEC and Ghent University, Zwijnaarde, Ghent, Belgium
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7
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Ghafoori S, Keshtkar A, Khashayar P, Ebrahimi M, Ramezani M, Mohammadi Z, Saeidifard F, Nemati N, Khoshbin M, Azizian S, Zare F, Shirazi S, Larijani B. The risk of osteoporotic fractures and its associating risk factors according to the FRAX model in the Iranian patients: a follow-up cohort. J Diabetes Metab Disord 2014; 13:93. [PMID: 25349839 PMCID: PMC4209052 DOI: 10.1186/s40200-014-0093-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2014] [Accepted: 09/03/2014] [Indexed: 12/22/2022]
Abstract
BACKGROUND The present study is designed to assess the incidence rate of osteoporotic fracture and its risk factors, particularly those used to predict the 10-year risk of osteoporotic fracture in FRAX based on the data gathered through a follow up cohort initiated in 2000. METHODS The present retrospective cohort was conducted on men and women from 40 to 90 years of age enrolled in the IROSTEOPs study. A phone survey was conducted during 2013 and beginning of 2014 to assess the fractures (traumatic/osteoporotic) occurring at the time of inclusion until the date of the telephone survey, its type and mechanism, and the patient's age at the time of accident. Survival analysis using Kaplan-Meier product-limit method was performed with the time of fracture as the study outcome. RESULTS Final study population consisted of 1233 individuals, translated in to 9133 person years. The incidence rate of osteoporotic fracture was reported to be 359.1 cases in every 10,000 person years. The 10-year Kaplan-Meier estimate of any kind of major osteoporotic fractures for all the subcohort population was 10.75%. Osteoporosis (HR = 0.75), Discordance between femoral neck and spine (HR = 1.45), Diabetes (HR = 1.81), IBD (HR = 1.84), immobility more than 90 days (HR = 2.19), and personal history of fracture (HR = 7.75) had a considerable effect on the 10-year risk of major osteoporotic fractures. CONCLUSIONS Adding new clinical risk factors to FRAX® may help improve fracture prediction in the Iranian population.
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Affiliation(s)
- Shahnaz Ghafoori
- />Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Abbasali Keshtkar
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Patricia Khashayar
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Ebrahimi
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Majid Ramezani
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Mohammadi
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzane Saeidifard
- />Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nasrin Nemati
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Khoshbin
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Solmaz Azizian
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Zare
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sara Shirazi
- />Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- />Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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