1
|
Wadhwa R, Kumar M, Talegaonkar S, Vohora D. Serotonin reuptake inhibitors and bone health: A review of clinical studies and plausible mechanisms. Osteoporos Sarcopenia 2017; 3:75-81. [PMID: 30775508 PMCID: PMC6372777 DOI: 10.1016/j.afos.2017.05.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 05/02/2017] [Accepted: 05/19/2017] [Indexed: 01/05/2023] Open
Abstract
Selective serotonin reuptake inhibitors (SSRIs) are currently the treatment of choice in depression and constitute major portion of prescription in depressive patients. The role of serotonin receptors in bone is emerging, raising certain questions regarding the effect of blockade of serotonin reuptake in the bone metabolism. Clinical studies have reported an association of SSRI antidepressants which with increase in fracture and decrease in bone mineral density. This review focus on recent evidence that evaluate the association of SSRIs with the risk of fracture and bone mineral density and also the probable mechanisms that might be involved in such effects.
Collapse
Affiliation(s)
- Ravisha Wadhwa
- Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India
| | - Manoj Kumar
- Pharmaceutical Medicine, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India
| | - Sushama Talegaonkar
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India
| | - Divya Vohora
- Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India.,Pharmaceutical Medicine, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India
| |
Collapse
|
3
|
Emaus N, Wilsgaard T, Ahmed LA. Impacts of body mass index, physical activity, and smoking on femoral bone loss: the Tromsø study. J Bone Miner Res 2014; 29:2080-9. [PMID: 24676861 DOI: 10.1002/jbmr.2232] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Revised: 03/11/2014] [Accepted: 03/17/2014] [Indexed: 12/31/2022]
Abstract
Bone mineral density (BMD) is a reflection of bone strength and lifestyles that preserve bone mass and may reduce fracture risk in old age. This study examined the effect of combined profiles of smoking, physical activity, and body mass index (BMI) on lifetime bone loss. Data were collected from the population-based Tromsø Study. BMD was measured as g/cm(2) by dual-energy X-ray absorptiometry (DXA) at the total hip and femoral neck in 2580 women and 2084 men aged 30 to 80 years in the 2001-02 survey, and repeated in 1401 women and 1113 men in the 2007-08 survey. Height and weight were measured and lifestyle information was collected through questionnaires. Data were analyzed using linear mixed models with second-degree fractional polynomials. From the peak at the age around 40 years to 80 years of age, loss rates varied between 4% at the total hip and 14% at femoral neck in nonsmoking, physically active men with a BMI of 30 kg/m(2) to approximately 30% at both femoral sites in heavy smoking, physically inactive men with a BMI value of 18 kg/m(2) . In women also, loss rates of more than 30% were estimated in the lifestyle groups with a BMI value of 18 kg/m(2) . BMI had the strongest effect on BMD, especially in the oldest age groups, but a BMI above 30 kg/m(2) did not exert any additional effect compared with the population average BMI of 27 kg/m(2) . At the age of 80 years, a lifestyle of moderate BMI to light overweight, smoking avoidance, and physical activity of 4 hours of vigorous activity per week through adult life may result in 1 to 2 standard deviations higher BMD levels compared with a lifestyle marked by heavy smoking, inactivity, and low weight. In the prevention of osteoporosis and fracture risk, the effect of combined lifestyles through adult life should be highlighted. © 2014 American Society for Bone and Mineral Research.
Collapse
Affiliation(s)
- Nina Emaus
- Department of Health and Care Sciences, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | | | | |
Collapse
|
6
|
Lewiecki EM, Compston JE, Miller PD, Adachi JD, Adams JE, Leslie WD, Kanis JA, Moayyeri A, Adler RA, Hans DB, Kendler DL, Diez-Perez A, Krieg MA, Masri BK, Lorenc RR, Bauer DC, Blake GM, Josse RG, Clark P, Khan AA. Official Positions for FRAX® Bone Mineral Density and FRAX® simplification from Joint Official Positions Development Conference of the International Society for Clinical Densitometry and International Osteoporosis Foundation on FRAX®. J Clin Densitom 2011; 14:226-36. [PMID: 21810530 DOI: 10.1016/j.jocd.2011.05.017] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2011] [Accepted: 05/21/2011] [Indexed: 11/30/2022]
Abstract
Tools to predict fracture risk are useful for selecting patients for pharmacological therapy in order to reduce fracture risk and redirect limited healthcare resources to those who are most likely to benefit. FRAX® is a World Health Organization fracture risk assessment algorithm for estimating the 10-year probability of hip fracture and major osteoporotic fracture. Effective application of FRAX® in clinical practice requires a thorough understanding of its limitations as well as its utility. For some patients, FRAX® may underestimate or overestimate fracture risk. In order to address some of the common issues encountered with the use of FRAX® for individual patients, the International Society for Clinical Densitometry (ISCD) and International Osteoporosis Foundation (IOF) assigned task forces to review the medical evidence and make recommendations for optimal use of FRAX® in clinical practice. Among the issues addressed were the use of bone mineral density (BMD) measurements at skeletal sites other than the femoral neck, the use of technologies other than dual-energy X-ray absorptiometry, the use of FRAX® without BMD input, the use of FRAX® to monitor treatment, and the addition of the rate of bone loss as a clinical risk factor for FRAX®. The evidence and recommendations were presented to a panel of experts at the Joint ISCD-IOF FRAX® Position Development Conference, resulting in the development of Joint ISCD-IOF Official Positions addressing FRAX®-related issues.
Collapse
Affiliation(s)
- E Michael Lewiecki
- New Mexico Clinical Research & Osteoporosis Center, Albuquerque, NM, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
8
|
Rivadeneira F, Styrkársdottir U, Estrada K, Halldórsson BV, Hsu YH, Richards JB, Zillikens MC, Kavvoura FK, Amin N, Aulchenko YS, Cupples LA, Deloukas P, Demissie S, Grundberg E, Hofman A, Kong A, Karasik D, van Meurs JB, Oostra B, Pastinen T, Pols HA, Sigurdsson G, Soranzo N, Thorleifsson G, Thorsteinsdottir U, Williams FMK, Wilson SG, Zhou Y, Ralston SH, van Duijn CM, Spector T, Kiel DP, Stefansson K, Ioannidis JP, Uitterlinden AG. Twenty bone-mineral-density loci identified by large-scale meta-analysis of genome-wide association studies. Nat Genet 2009; 41:1199-206. [PMID: 19801982 PMCID: PMC2783489 DOI: 10.1038/ng.446] [Citation(s) in RCA: 550] [Impact Index Per Article: 34.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2009] [Accepted: 07/21/2009] [Indexed: 12/15/2022]
Abstract
Bone mineral density (BMD) is a heritable complex trait used in the clinical diagnosis of osteoporosis and the assessment of fracture risk. We performed meta-analysis of five genome-wide association studies of femoral neck and lumbar spine BMD in 19,195 subjects of Northern European descent. We identified 20 BMD loci that reached genome-wide significance (GWS; P < 5 x 10(-8)), of which 13 map to regions not previously associated with this trait: 1p31.3 (GPR177), 2p21 (SPTBN1), 3p22 (CTNNB1), 4q21.1 (MEPE), 5q14 (MEF2C), 7p14 (STARD3NL), 7q21.3 (FLJ42280), 11p11.2 (LRP4, ARHGAP1, F2), 11p14.1 (DCDC5), 11p15 (SOX6), 16q24 (FOXL1), 17q21 (HDAC5) and 17q12 (CRHR1). The meta-analysis also confirmed at GWS level seven known BMD loci on 1p36 (ZBTB40), 6q25 (ESR1), 8q24 (TNFRSF11B), 11q13.4 (LRP5), 12q13 (SP7), 13q14 (TNFSF11) and 18q21 (TNFRSF11A). The many SNPs associated with BMD map to genes in signaling pathways with relevance to bone metabolism and highlight the complex genetic architecture that underlies osteoporosis and variation in BMD.
Collapse
Affiliation(s)
- Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | | | - Karol Estrada
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | | | - Yi-Hsiang Hsu
- Hebrew SeniorLife, Harvard Medical School, Boston, MA, 02131 USA
| | - J. Brent Richards
- Department of Medicine, McGill University, Montréal, H3G 1Y6 Canada
- Department of Human Genetics, McGill University, Montréal, H3G 1Y6 Canada
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, SE1 7EH, United Kingdom
| | - M. Carola Zillikens
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | - Fotini K. Kavvoura
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | - L. Adrienne Cupples
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, 02118 USA
| | | | - Serkalem Demissie
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, 02118 USA
| | - Elin Grundberg
- Department of Human Genetics, McGill University, Montréal, H3G 1Y6 Canada
- McGill University and Genome Quebec Innovation Centre, Montreal, H3A 1A4, Canada
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | | | - David Karasik
- Hebrew SeniorLife, Harvard Medical School, Boston, MA, 02131 USA
| | - Joyce B. van Meurs
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | - Ben Oostra
- Department of Clinical Genetics, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | - Tomi Pastinen
- Department of Human Genetics, McGill University, Montréal, H3G 1Y6 Canada
- McGill University and Genome Quebec Innovation Centre, Montreal, H3A 1A4, Canada
| | - Huibert A.P. Pols
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | - Gunnar Sigurdsson
- Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland
- Department of Endocrinology and Metabolism, University Hospital, 108 Reykjavik, Iceland
| | - Nicole Soranzo
- Department of Medicine, McGill University, Montréal, H3G 1Y6 Canada
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | | | - Unnur Thorsteinsdottir
- deCODE Genetics, 101 Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland
| | - Frances MK Williams
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, SE1 7EH, United Kingdom
| | - Scott G. Wilson
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, SE1 7EH, United Kingdom
- School of Medicine & Pharmacology, The University of Western Australia and Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia
| | - Yanhua Zhou
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, 02118 USA
| | - Stuart H. Ralston
- Rheumatic Diseases Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | | | - Timothy Spector
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, SE1 7EH, United Kingdom
| | - Douglas P. Kiel
- Hebrew SeniorLife, Harvard Medical School, Boston, MA, 02131 USA
| | - Kari Stefansson
- deCODE Genetics, 101 Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, 101 Reykjavík, Iceland
| | - John P.A. Ioannidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece
- Center for Genetic Epidemiology and Modeling, Tufts Medical Center, Tufts University School of Medicine, Boston, MA 02111, USA
| | - André G. Uitterlinden
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3015GE, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, 3015GE, The Netherlands
| | | |
Collapse
|
9
|
Bone mineral densities in individuals with Gilbert's syndrome: a cross-sectional, case-control pilot study. CANADIAN JOURNAL OF GASTROENTEROLOGY = JOURNAL CANADIEN DE GASTROENTEROLOGIE 2009; 23:431-6. [PMID: 19543574 DOI: 10.1155/2009/635126] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Unconjugated bilirubin inhibits osteoblastic proliferative activity in vitro, raising the possibility that Gilbert's syndrome (GS) patients are at increased risk of osteoporosis. OBJECTIVES To compare bone mineral density (BMD), serum parathyroid hormone (PTH), C-telopeptide (CTX) and osteocalcin levels in GS subjects versus matched controls in a cross-sectional, case-control study. METHODS BMD determinations were obtained with central dual energy x-ray absorptiometry. Serum PTH, CTX and osteocalcin levels were measured by enzyme immunoassay. RESULTS A total of 17 GS and 30 control subjects were studied. Overall, there were no significant differences in BMD, PTH, CTX or osteocalcin levels between the two groups. However, when older (older than 40 years of age) and younger (40 years of age and younger) cohorts were considered separately, the older GS cohort had significantly decreased total hip BMD, T scores and Z scores, and femoral neck BMD, T scores and Z scores (P<0.005 for each parameter, respectively) compared with older control subjects. Serum osteocalcin levels were lower in the older versus younger GS cohort (P=0.006). An inverse correlation existed between all subjects' serum unconjugated bilirubin levels and total body BMD determinations (r=-0.42; P=0.04). On univariate analysis, the association between serum unconjugated bilirubin and total body BMD was not significant (P=0.066), nor was serum unconjugated bilirubin identified as a risk factor for low BMD when entered into multivariate analyses. CONCLUSIONS The results of the present pilot study warrant further research involving larger numbers of subjects and longitudinal measurements to determine whether GS is associated with decreased BMD, particularly in older GS subjects.
Collapse
|
10
|
Evolution and predictors of change in total bone mineral density over time in HIV-infected men and women in the nutrition for healthy living study. J Acquir Immune Defic Syndr 2008; 49:298-308. [PMID: 18845956 DOI: 10.1097/qai.0b013e3181893e8e] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Osteopenia is common in the era of effective antiretroviral therapy (ART), yet the etiology is unclear. We evaluated the association of host factors, disease severity, and ART to changes in total body bone mineral density (total BMD) over time in HIV-infected men (n = 283) and women (n = 96). METHODS Total BMD was measured annually by whole-body dual-energy absorptiometry (DXA), and medical, dietary, and behavioral history was collected. The median time from first to last DXA was 2.5 years (range 0.9-6.8 years). Using a repeated measures regression model, we identified variables independently associated with percent change in total BMD between consecutive DXA exams (n = 799 intervals), adjusted for age, race, sex, menopause, and smoking. We estimated percent change in total BMD over an average interval (1 year) standardized for representative levels of each determinant in males, premenopausal women, and postmenopausal women. RESULTS Median baseline age, CD4, and viral load were 42 years, 364 cells per cubic millimeter, and 2.7 log10 copies per milliliter, respectively. The estimated change in total BMD for those not on ART was -0.37% per year [95% confidence interval (CI) -0.76 to -0.02] for men, -0.08% per year (95% CI -0.49 to 0.33) for premenopausal women, and -1.07% per year (95% CI -1.86 to -0.28) for postmenopausal women. Greater loss of total BMD was associated with lower albumin, lower body mass index, prednisone/hydrocortisone use, tenofovir use, and longer duration of didanosine. Strength training and long duration of d4T and saquinavir prevented or mitigated bone loss. For those on ART for 3 years (not including the above agents), the rate of loss was -0.57% per year (95% CI -1.00 to -0.14) for men, -0.28% (95% CI -0.71 to 0.15) for premenopausal women, and -1.27% (95% CI -2.07 to -0.47) for postmenopausal women. Postmenopausal women had greater loss than premenopausal women and men. CONCLUSIONS Low body weight, low albumin, catabolic steroid use, and menopause may accelerate bone loss, and strength training may be protective. Tenofovir and didanosine may also have a deleterious effect on BMD.
Collapse
|