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Livshits G, Kalinkovich A. Restoration of epigenetic impairment in the skeletal muscle and chronic inflammation resolution as a therapeutic approach in sarcopenia. Ageing Res Rev 2024; 96:102267. [PMID: 38462046 DOI: 10.1016/j.arr.2024.102267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/17/2024] [Accepted: 03/06/2024] [Indexed: 03/12/2024]
Abstract
Sarcopenia is an age-associated loss of skeletal muscle mass, strength, and function, accompanied by severe adverse health outcomes, such as falls and fractures, functional decline, high health costs, and mortality. Hence, its prevention and treatment have become increasingly urgent. However, despite the wide prevalence and extensive research on sarcopenia, no FDA-approved disease-modifying drugs exist. This is probably due to a poor understanding of the mechanisms underlying its pathophysiology. Recent evidence demonstrate that sarcopenia development is characterized by two key elements: (i) epigenetic dysregulation of multiple molecular pathways associated with sarcopenia pathogenesis, such as protein remodeling, insulin resistance, mitochondria impairments, and (ii) the creation of a systemic, chronic, low-grade inflammation (SCLGI). In this review, we focus on the epigenetic regulators that have been implicated in skeletal muscle deterioration, their individual roles, and possible crosstalk. We also discuss epidrugs, which are the pharmaceuticals with the potential to restore the epigenetic mechanisms deregulated in sarcopenia. In addition, we discuss the mechanisms underlying failed SCLGI resolution in sarcopenia and the potential application of pro-resolving molecules, comprising specialized pro-resolving mediators (SPMs) and their stable mimetics and receptor agonists. These compounds, as well as epidrugs, reveal beneficial effects in preclinical studies related to sarcopenia. Based on these encouraging observations, we propose the combination of epidrugs with SCLI-resolving agents as a new therapeutic approach for sarcopenia that can effectively attenuate of its manifestations.
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Affiliation(s)
- Gregory Livshits
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 4077625, Israel; Department of Anatomy and Anthropology, Faculty of Medical and Health Sciences, School of Medicine, Tel-Aviv University, Tel-Aviv 6905126, Israel.
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Faculty of Medical and Health Sciences, School of Medicine, Tel-Aviv University, Tel-Aviv 6905126, Israel
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Tarabeih N, Kalinkovich A, Ashkenazi S, Cherny SS, Shalata A, Livshits G. Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study. Int J Mol Sci 2024; 25:881. [PMID: 38255954 PMCID: PMC10815336 DOI: 10.3390/ijms25020881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/07/2024] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Metabolic syndrome (MetS) is a complex disease involving multiple physiological, biochemical, and metabolic abnormalities. The search for reliable biomarkers may help to better elucidate its pathogenesis and develop new preventive and therapeutic strategies. In the present population-based study, we looked for biomarkers of MetS among obesity- and inflammation-related circulating factors and body composition parameters in 1079 individuals (with age range between 18 and 80) belonging to an ethnically homogeneous population. Plasma levels of soluble markers were measured by using ELISA. Body composition parameters were assessed using bioimpedance analysis (BIA). Statistical analysis, including mixed-effects regression, with MetS as a dependent variable, revealed that the most significant independent variables were mainly adipose tissue-related phenotypes, including fat mass/weight (FM/WT) [OR (95% CI)], 2.77 (2.01-3.81); leptin/adiponectin ratio (L/A ratio), 1.50 (1.23-1.83); growth and differentiation factor 15 (GDF-15) levels, 1.32 (1.08-1.62); inflammatory markers, specifically monocyte to high-density lipoprotein cholesterol ratio (MHR), 2.53 (2.00-3.15), and a few others. Additive Bayesian network modeling suggests that age, sex, MHR, and FM/WT are directly associated with MetS and probably affect its manifestation. Additionally, MetS may be causing the GDF-15 and L/A ratio. Our novel findings suggest the existence of complex, age-related, and possibly hierarchical relationships between MetS and factors associated with obesity.
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Affiliation(s)
- Nader Tarabeih
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 40700, Israel; (N.T.); (S.A.)
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel; (A.K.); (S.S.C.)
| | - Shai Ashkenazi
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 40700, Israel; (N.T.); (S.A.)
| | - Stacey S. Cherny
- Department of Anatomy and Anthropology, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel; (A.K.); (S.S.C.)
| | - Adel Shalata
- The Simon Winter Institute for Human Genetics, Bnai Zion Medical Center, The Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 32000, Israel;
| | - Gregory Livshits
- Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 40700, Israel; (N.T.); (S.A.)
- Department of Anatomy and Anthropology, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel; (A.K.); (S.S.C.)
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Tarabeih N, Shalata A, Kalinkovich A, Higla O, Livshits G. Elevated circulating levels of IL-34 are strongly associated with osteoporosis. Arch Osteoporos 2023; 18:132. [PMID: 37947892 DOI: 10.1007/s11657-023-01343-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023]
Abstract
In this cross-sectional study, we observed a strong, age-independent association of circulating interleukin-34 (IL-34) levels with osteoporosis. PURPOSE The reported capacity of IL-34 to induce and enhance osteoclastogenesis suggests its potential involvement in the pathogenesis of osteoporosis. Our study aimed to evaluate whether there is an association between IL-34 expression and osteoporosis. METHODS We enrolled 30 women with osteoporosis and 230 age-matched non-osteoporotic women as a control group. Osteoporosis diagnosis was based on dual-energy X-ray absorptiometry (DXA) of the lumbar spine and femoral neck. Body composition parameters were assessed by the bioimpedance method. Plasma IL-34 levels were measured by ELISA. RESULTS In comparison with the control group, the mean plasma IL-34 levels were significantly higher in osteoporotic women (164.61 ± 36.40 pg/ml vs. 665.43 ± 253.67 pg/ml, p = 0.0002), whereas basal metabolic rate (BMR) was significantly lower (1422.03 ± 6.80 kcal vs. 1339.39 ± 17.52 kcal, p = 0.00007). Both variables remained statistically significant after adjustment for age (p < 0.001). We did not observe correlations between plasma IL-34 levels and body composition parameters in osteoporotic and control groups. Multiple logistic regression analysis with osteoporosis status as a dependent variable clearly showed that age, BMR and IL-34 levels were independently and significantly associated with osteoporosis. The calculated odds ratios (OR) were 1.66 (95% CI = 1.16-2.38) for IL-34 levels and 0.22 (95% CI = 0.07-0.65) for BMR. CONCLUSION The significant (fourfold) elevation of IL-34 plasma levels in osteoporosis patients suggests that circulating IL-34 could be used as a biomarker for osteoporosis.
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Affiliation(s)
- Nader Tarabeih
- Department of Morphological Studies, Adelson School of Medicine, Ariel University, 40700, Ariel, Israel
- Department of Nursing, The Max Stern Yezreel Valley College, 19300, Yezreel Valley, Israel
| | - Adel Shalata
- Faculty of Medicine, The Simon Winter Institute for Human Genetics, Bnai Zion Medical Center, The Ruth and Bruce Rappaport, 32000, Technion, Haifa, Israel
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, 6905126, Tel-Aviv, Israel
| | - Orabi Higla
- Orthopedics Clinic, Clalit, Migdal HaMeah, 6203854, Tel-Aviv, Israel
| | - Gregory Livshits
- Department of Morphological Studies, Adelson School of Medicine, Ariel University, 40700, Ariel, Israel.
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, 6905126, Tel-Aviv, Israel.
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Tarabeih N, Kalinkovich A, Shalata A, Higla O, Livshits G. Pro-Inflammatory Biomarkers Combined with Body Composition Display a Strong Association with Knee Osteoarthritis in a Community-Based Study. Biomolecules 2023; 13:1315. [PMID: 37759715 PMCID: PMC10527309 DOI: 10.3390/biom13091315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 08/22/2023] [Accepted: 08/25/2023] [Indexed: 09/29/2023] Open
Abstract
Knee osteoarthritis (KOA) is one of the most common progressive, age-dependent chronic degenerative joint diseases. KOA often develops as a result of a gradual articular cartilage loss caused by its wear and tear. Numerous studies suggest that the degradation of the knee joint involves inflammatory components. This process is also associated with body composition, particularly being overweight and muscle mass loss. The present study aimed to search for novel circulating KOA inflammatory biomarkers, taking into account body composition characteristics. To this aim, we recruited 98 patients diagnosed and radiologically confirmed with KOA and 519 healthy controls from the Arab community in Israel. A panel of soluble molecules, related to inflammatory, metabolic, and musculoskeletal disorders, was measured by ELISA in plasma samples, while several body composition parameters were assessed with bioimpedance analysis. Statistical analysis, including multivariable logistic regression, revealed a number of the factors significantly associated with KOA, independently of age and sex. The most significant independent associations [OR (95% CI)] were fat body mass/body weight index-1.56 (1.20-2.02), systemic immune-inflammation index-4.03 (2.23-7.27), circulating vaspin levels-1.39 (1.15-1.68), follistatin/FSTL1 ratio-1.32 (1.02-1.70), and activin A/FSTL1 ratio-1.33 (1.01-1.75). Further clinical studies are warranted to confirm the relevance of these KOA-associated biological factors. Hereafter, they could serve as reliable biomarkers for KOA in the general human population.
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Affiliation(s)
- Nader Tarabeih
- Department of Morphological Studies, Adelson School of Medicine, Ariel University, Ariel 40700, Israel;
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6905126, Israel;
| | - Adel Shalata
- The Simon Winter Institute for Human Genetics, Bnai Zion Medical Center, The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa 32000, Israel;
| | - Orabi Higla
- Orthopedics Clinic, Clalit, Migdal HaMeah, Tel-Aviv 6203854, Israel;
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6905126, Israel;
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Kasher M, Williams FMK, Freidin MB, Cherny SS, Malkin I, Livshits G. Insights into the pleiotropic relationships between chronic back pain and inflammation-related musculoskeletal conditions: rheumatoid arthritis and osteoporotic abnormalities. Pain 2023; 164:e122-e134. [PMID: 36017880 DOI: 10.1097/j.pain.0000000000002728] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 06/27/2022] [Indexed: 11/26/2022]
Abstract
ABSTRACT The ageing process includes the development of debilitating musculoskeletal (MSK) conditions, including chronic back pain (CBP), rheumatoid arthritis (RA), and osteoporosis (OP). The mechanisms involved in the genetic-epidemiological relationships between these MSK phenotypes are controversial and limited and thus require clarification, in particular, between CBP and the other MSK phenotypes. A cross-sectional statistical analysis was conducted using Europeans from the UK Biobank data collection, including 73,794 CBP, 4883 RA, and 7153 OP cases as well as 242,216 calcaneus bone mineral density scores. C-reactive protein (CRP) was measured for 402,165 subjects in this sample. Genetic correlations were assessed to evaluate shared genetic background between traits. Mendelian randomization was performed to assess a causal relationship between CBP and RA and OP along with other risk factors, such as CRP. Colocalization analysis was conducted to identify shared pleiotropic regions between the examined traits. Bayesian modelling was performed to determine a potential pathway that may explain the interrelationships among these traits. Mendelian randomization analyses revealed that CRP causally predicts CBP only (β = 0.183, 95% CI = 0.077-0.290, P -value = 0.001). Horizontally pleiotropy appeared to explain the relationship between CBP and RA and OP. Through colocalization analysis, several genomic regions emerged describing common genetic influences between CBP and its proposed risk factors, including HLA-DQA1/HLA-DQB1, APOE , SOX5, and MYH7B as well as Histone 1 genes. We speculate that among other factors, CBP and its MSK comorbidities may arise from common inflammatory mechanisms. Colocalized identified genes may aid in advancing or improving the mode of treatment in patients with CBP.
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Affiliation(s)
- Melody Kasher
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, United Kingdom
| | - Maxim B Freidin
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, United Kingdom
| | - Stacey S Cherny
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ida Malkin
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gregory Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, United Kingdom
- Adelson Medical School, Ariel University, Ariel, Israel
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Iden JA, Raphael-Mizrahi B, Awida Z, Naim A, Zyc D, Liron T, Kasher M, Livshits G, Vered M, Gabet Y. The Anti-Tumorigenic Role of Cannabinoid Receptor 2 in Colon Cancer: A Study in Mice and Humans. Int J Mol Sci 2023; 24:ijms24044060. [PMID: 36835468 PMCID: PMC9961974 DOI: 10.3390/ijms24044060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/19/2023] Open
Abstract
The endocannabinoid system, particularly cannabinoid receptor 2 (CB2 in mice and CNR2 in humans), has controversial pathophysiological implications in colon cancer. Here, we investigate the role of CB2 in potentiating the immune response in colon cancer in mice and determine the influence of CNR2 variants in humans. Comparing wild-type (WT) mice to CB2 knockout (CB2-/-) mice, we performed a spontaneous cancer study in aging mice and subsequently used the AOM/DSS model of colitis-associated colorectal cancer and a model for hereditary colon cancer (ApcMin/+). Additionally, we analyzed genomic data in a large human population to determine the relationship between CNR2 variants and colon cancer incidence. Aging CB2-/- mice exhibited a higher incidence of spontaneous precancerous lesions in the colon compared to WT controls. The AOM/DSS-treated CB2-/- and ApcMin/+CB2-/- mice experienced aggravated tumorigenesis and enhanced splenic populations of immunosuppressive myeloid-derived suppressor cells along with abated anti-tumor CD8+ T cells. Importantly, corroborative genomic data reveal a significant association between non-synonymous variants of CNR2 and the incidence of colon cancer in humans. Taken together, the results suggest that endogenous CB2 activation suppresses colon tumorigenesis by shifting the balance towards anti-tumor immune cells in mice and thus portray the prognostic value of CNR2 variants for colon cancer patients.
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Affiliation(s)
- Jennifer Ana Iden
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Bitya Raphael-Mizrahi
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Zamzam Awida
- Department of Cell and Developmental Biology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Aaron Naim
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Dan Zyc
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Tamar Liron
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Melody Kasher
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
- Department of Morphological Studies, Adelson School of Medicine, Ariel University, Ariel 40700, Israel
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
- Department of Morphological Studies, Adelson School of Medicine, Ariel University, Ariel 40700, Israel
| | - Marilena Vered
- Department of Oral Pathology, Oral Medicine and Maxillofacial Imaging, The Goldschleger School of Dental Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
- Institute of Pathology, The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan 52621, Israel
| | - Yankel Gabet
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
- Correspondence:
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Tarabeih N, Shalata A, Higla O, Kalinkovich A, Livshits G. The search for systemic biomarkers for monitoring degenerative lumbar spinal disorders. Osteoarthr Cartil Open 2022; 4:100323. [PMID: 36601335 PMCID: PMC9805972 DOI: 10.1016/j.ocarto.2022.100323] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/07/2022] [Accepted: 11/19/2022] [Indexed: 11/25/2022] Open
Abstract
Objectives In our previous study, we reported that low back pain (LBP) severity and disability significantly correlate with body composition and several blood biochemical factors. Herein, we tested the hypothesis that these covariates are associated with anatomical deformations of the lumbar spine, in particular, radiographic facet joint osteoarthritis (FJOA) and lumbar disc degeneration (LDD) features important contributors to LBP. Methods CT and MRI images of the lumbar spine were obtained from 200 individuals suffering from LBP-sciatica. We examined the FJOA and total LDD score - the sum of the scores of the three radiographic features (intervertebral disc herniation, osteophythosis and spondylolisthesis) at the L1 - S1 vertebral levels. By implementing a bioelectrical impedance analysis, we assessed the participants for body composition, specifically, extracellular water (ECW). Plasma levels of growth and differentiation factor 15 (GDF-15) and visceral adipose tissue-derived serine protease inhibitor (vaspin), were detected by ELISA. Results By conducting a series of multivariable regression analyses, we report that the circulating levels of GDF-15, vaspin, and ECW are significantly and independently associated with FJOA scores [βGDF15 = 0.38 ± 0.08, p = 0.0001; βVASPIN = 0.36 ± 0.07, p = 0.000004; βECW = 0.24 ± 0.07, p = 0.002]. The levels of GDF-15 (β = 0.30 ± 0.10, p = 0.007) and ECW (β = 0.20 ± 0.09, p = 0.03) were also found significantly associated with the LDD scores. Conclusion The obtained new data suggest that GDF-15, vaspin and ECW may serve as biomarkers for FJOA and LDD phenotypes.
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Affiliation(s)
- Nader Tarabeih
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel,Maale HaCarmel Mental Health Center, Affiliated to Rappaport Faculty of Medicine Technion, Israel Institute of Technology, Haifa, Israel
| | - Adel Shalata
- The Simon Winter Institute for Human Genetics, Bnai Zion Medical Center, The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel
| | - Orabi Higla
- Department of Orthopedic Surgery, Sourasky Medical Center, Tel Aviv, Israel
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Gregory Livshits
- Deparment of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel, Israel,Corresponding author. Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 4077625, Israel.
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Livshits G, Kalinkovich A. Targeting chronic inflammation as a potential adjuvant therapy for osteoporosis. Life Sci 2022; 306:120847. [PMID: 35908619 DOI: 10.1016/j.lfs.2022.120847] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 07/07/2022] [Accepted: 07/26/2022] [Indexed: 11/16/2022]
Abstract
Systemic, chronic, low-grade inflammation (SCLGI) underlies the pathogenesis of various widespread diseases. It is often associated with bone loss, thus connecting chronic inflammation to the pathogenesis of osteoporosis. In postmenopausal women, osteoporosis is accompanied by SCLGI development, likely owing to estrogen deficiency. We propose that SCGLI persistence in osteoporosis results from failed inflammation resolution, which is mainly mediated by specialized, pro-resolving mediators (SPMs). In corroboration, SPMs demonstrate encouraging therapeutic effects in various preclinical models of inflammatory disorders, including bone pathology. Since numerous data implicate gut dysbiosis in osteoporosis-associated chronic inflammation, restoring balanced microbiota by supplementing probiotics and prebiotics could contribute to the efficient resolution of SCGLI. In the present review, we provide evidence for this hypothesis and argue that efficient SCGLI resolution may serve as a novel approach for treating osteoporosis, complementary to traditional anti-osteoporotic medications.
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Affiliation(s)
- Gregory Livshits
- Adelson School of Medicine, Ariel University, Ariel 4077625, Israel; Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6905126, Israel.
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6905126, Israel
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Kalinkovich A, Becker M, Livshits G. New Horizons in the Treatment of Age-Associated Obesity, Sarcopenia and Osteoporosis. Drugs Aging 2022; 39:673-683. [PMID: 35781216 DOI: 10.1007/s40266-022-00960-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2022] [Indexed: 11/03/2022]
Abstract
The rapid increase in both the lifespan and proportion of older adults in developed countries is accompanied by the dramatic growth of age-associated chronic diseases, including obesity, sarcopenia, and osteoporosis. Hence, prevention and treatment of age-associated chronic diseases has become increasingly urgent. The key to achieving this goal is a better understanding of the mechanisms underlying their pathophysiology, some aspects of which, despite extensive investigation, are still not fully understood. Aging, obesity, sarcopenia, and osteoporosis are characterized by the creation of a systemic, chronic, low-grade inflammation (SCLGI). The common mechanisms that govern the development of these chronic conditions include a failed resolution of inflammation. Physiologically, the process of inflammation resolution is provided mainly by specialized pro-resolving mediators (SPMs) acting via cognate G protein-coupled receptors (GPCRs). Noteworthy, SPM levels and the expression of their receptors are significantly reduced in aging and the associated chronic disorders. In preclinical studies, supplementation of SPMs or their stable, small-molecule SPM mimetics and receptor agonists reveals clear beneficial effects in inflammation-related obesity and sarcopenic and osteoporotic conditions, suggesting a translational potential. Age-associated chronic disorders are also characterized by gut dysbiosis and the accumulation of senescent cells in the adipose tissue, skeletal muscle, and bones. Based on these findings, we propose SCLGI resolution as a novel strategy for the prevention/treatment of age-associated obesity, sarcopenia, and osteoporosis. Our approach entails the enhancement of inflammation resolution by SPM mimetics and receptor agonists in concert with probiotics/prebiotics and compounds that eliminate senescent cells and their pro-inflammatory activity.
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Affiliation(s)
- Alexander Kalinkovich
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, 6905126, Tel-Aviv, Israel
| | - Maria Becker
- Adelson School of Medicine, Ariel University, 4077625, Ariel, Israel
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, 6905126, Tel-Aviv, Israel. .,Adelson School of Medicine, Ariel University, 4077625, Ariel, Israel.
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Tarabeih N, Masharawi Y, Shalata A, Higla O, Kalinkovich A, Livshits G. Scoliosis and skeletal muscle mass are strongly associated with low back pain-related disability in humans: An evolutionary anthropology point of view. Am J Hum Biol 2022; 34:e23757. [PMID: 35533002 DOI: 10.1002/ajhb.23757] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/09/2022] [Accepted: 04/23/2022] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES To clarify the potential risk factors and etiology of low back pain (LBP)-related disability, including structural changes of the spine (spinal scoliosis) and body composition components in a population with a high prevalence of LBP. METHODS In this cross-sectional study, two self-reported validated questionnaires were used to collect back pain and disability data in an ethnically homogeneous family-based population sample (N = 1078). The scoliosis angle of trunk rotation was measured by a scoliometer on three spinal levels while the patient was bent forward. Body composition parameters, including relative to weight (WT), fat, relative skeletal muscle mass (SMM/WT), and total body water were determined by bioelectrical impedance analysis. Statistical analysis was conducted, accounting for the familial composition of the sample. RESULTS The mixed multiple regression analyses with several LBP-related phenotypes as dependent variables consistently showed significant independent associations with scoliosis and SMM/WT, irrespective of other covariates. The odds ratios (OR)/95% CI for scoliosis ranged between 1.40 (1.19-1.64) and 1.51 (1.27-1.80), and from 0.61(0.51-0.72), to 0.71(0.58-0.87) for SMM/WT, depending on the LBP phenotype. The genetic components of the respective correlations between the LBP-phenotypes and scoliosis or SMM/WT were negligible. CONCLUSIONS The associations between LBP-related conditions and postured scoliosis and SMM/WT were consistent and significant and therefore may serve as markers in predicting the development of LBP-related disability. We interpret the origin of these correlations as the evolutionary event due to the imperfect spine anatomy adaptation to a vertical posture resulting from a quick transition to bipedalism from a quadrupedal ancestor.
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Affiliation(s)
- Nader Tarabeih
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Maale HaCarmel Mental Health Center, Affiliated to Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel
| | - Youssef Masharawi
- Department of Physical Therapy, The Stanley Steyer School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Adel Shalata
- The Simon Winter Institute for Human Genetics, Bnai Zion Medical Center, The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel
| | - Orabi Higla
- Department of Orthopedic Surgery, Sourasky Medical Center, Tel Aviv, Israel
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Adelson School of Medicine, Ariel University, Ariel, Israel
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11
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Cherny SS, Williams FMK, Livshits G. Genetic and environmental correlational structure among metabolic syndrome endophenotypes. Ann Hum Genet 2022; 86:225-236. [PMID: 35357000 DOI: 10.1111/ahg.12465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 03/02/2022] [Accepted: 03/09/2022] [Indexed: 11/29/2022]
Abstract
Metabolic syndrome (MetS) is diagnosed by the presence of high scores on three or more metabolic traits, including systolic and diastolic blood pressure (SBP, DBP), glucose and insulin levels, cholesterol and triglyceride (TG) levels, and central obesity. A diagnosis of MetS is associated with increased risk of cardiovascular disease and type 2 diabetes. The components of MetS have long been demonstrated to have substantial genetic components, but their genetic overlap is less well understood. The present paper takes a multi-prong approach to examining the extent of this genetic overlap. This includes the quantitative genetic and additive Bayesian network modeling of the large TwinsUK project and examination of the results of genome-wide association study (GWAS) of UK Biobank data through use of LD score regression and examination of the number of genes and pathways identified in the GWASes which overlap across MetS traits. Results demonstrate a modest genetic overlap, and the genetic correlations obtained from TwinsUK and UK Biobank are nearly identical. However, these correlations imply more genetic dissimilarity than similarity. Furthermore, examination of the extent of overlap in significant GWAS hits, both at the gene and pathway level, again demonstrates only modest but significant genetic overlap. This lends support to the idea that in clinical treatment of MetS, treating each of the components individually may be an important way to address MetS.
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Affiliation(s)
- Stacey S Cherny
- Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, Israel
| | | | - Gregory Livshits
- Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, Israel.,Department of Twin Research and Genetic Epidemiology, King's College London, UK.,Department of Morphological Sciences, The Adelson School of Medicine, Ariel University, Ariel, Israel
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12
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Kasher M, Freidin MB, Williams FM, Cherny SS, Malkin I, Livshits G. Shared Genetic Architecture Between Rheumatoid Arthritis and Varying Osteoporotic Phenotypes. J Bone Miner Res 2022; 37:440-453. [PMID: 34910834 DOI: 10.1002/jbmr.4491] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 11/19/2021] [Accepted: 12/08/2021] [Indexed: 11/08/2022]
Abstract
Rheumatoid arthritis (RA) and low bone mineral density (BMD), an indicator of osteoporosis (OP), appear epidemiologically associated. Shared genetic factors may explain this association. This study aimed to investigate the presence of pleiotropy to clarify the potential genetic association between RA and OP. We examined BMDs at varying skeletal sites reported in UK Biobank as well as OP fracture acquired from the Genetic Factors for Osteoporosis (GEFOS) Consortium and the TwinsUK study. PRSice-2 was used to assess the potential shared genetic overlap between RA and OP. The presence of pleiotropy was examined using colocalization analysis. PRSice-2 revealed that RA was significantly associated with OP fracture (β = 351.6 ± 83.9, p value = 2.76E-05), total BMD (β = -1763.5 ± 612.8, p = 4.00E-03), spine BMD (β = -919.8 ± 264.6, p value = 5.09E-04), and forearm BMD (β = -66.09 ± 31.40, p value = 3.53E-02). Through colocalization analysis, the same causal genetic variants, associated with both RA and OP, were apparent in 12 genes: PLCL1, BOLL, AC011997.1, TNFAIP3, RP11-158I9.1, CDK6, CHCHD4P2, RP11-505C13.1, PHF19, TRAF1, C5, and C11orf49 with moderate posterior probabilities (>50%). Pleiotropy is involved in the association between RA and OP phenotypes. These findings contribute to the understanding of disease mechanisms and provide insight into possible therapeutic advancements and enhanced screening measures. © 2021 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Melody Kasher
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Maxim B Freidin
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Frances Mk Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Stacey S Cherny
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ida Malkin
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gregory Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK.,Adelson Medical School, Ariel University, Ariel, Israel
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13
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Kasher M, Williams FMK, Freidin MB, Malkin I, Cherny SS, Livshits G. OUP accepted manuscript. Hum Mol Genet 2022; 31:2810-2819. [PMID: 35349660 PMCID: PMC9402243 DOI: 10.1093/hmg/ddac061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/05/2022] [Accepted: 03/07/2022] [Indexed: 12/03/2022] Open
Abstract
Rheumatoid arthritis (RA) and osteoporosis (OP) are two comorbid complex inflammatory conditions with evidence of shared genetic background and causal relationships. We aimed to clarify the genetic architecture underlying RA and various OP phenotypes while additionally considering an inflammatory component, C-reactive protein (CRP). Genome-wide association study summary statistics were acquired from the GEnetic Factors for OSteoporosis Consortium, Cohorts for Heart and Aging Research Consortium and UK Biobank. Mendelian randomization (MR) was used to detect the presence of causal relationships. Colocalization analysis was performed to determine shared genetic variants between CRP and OP phenotypes. Analysis of pleiotropy between traits owing to shared causal single nucleotide polymorphisms (SNPs) was performed using PL eiotropic A nalysis under CO mposite null hypothesis (PLACO). MR analysis was suggestive of horizontal pleiotropy between RA and OP traits. RA was a significant causal risk factor for CRP (β = 0.027, 95% confidence interval = 0.016–0.038). There was no evidence of CRP→OP causal relationship, but horizontal pleiotropy was apparent. Colocalization established shared genomic regions between CRP and OP, including GCKR and SERPINA1 genes. Pleiotropy arising from shared causal SNPs revealed through the colocalization analysis was all confirmed by PLACO. These genes were found to be involved in the same molecular function ‘protein binding’ (GO:0005515) associated with RA, OP and CRP. We identified three major components explaining the epidemiological relationship among RA, OP and inflammation: (1) Pleiotropy explains a portion of the shared genetic relationship between RA and OP, albeit polygenically; (2) RA contributes to CRP elevation and (3) CRP, which is influenced by RA, demonstrated pleiotropy with OP.
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Affiliation(s)
- Melody Kasher
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, London WC2R 2LS, UK
| | - Maxim B Freidin
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, London WC2R 2LS, UK
| | - Ida Malkin
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Stacey S Cherny
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | | | - Gregory Livshits
- To whom correspondence should be addressed at: Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Ramat-Aviv, Tel-Aviv, 6997801 Israel. Tel: +972 36409494; Fax: +972 36408287;
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14
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Tarabeih N, Kalinkovich A, Shalata A, Cherny SS, Livshits G. Deciphering the Causal Relationships Between Low Back Pain Complications, Metabolic Factors, and Comorbidities. J Pain Res 2022; 15:215-227. [PMID: 35125889 PMCID: PMC8809521 DOI: 10.2147/jpr.s349251] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 12/23/2021] [Indexed: 01/09/2023] Open
Affiliation(s)
- Nader Tarabeih
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Maale HaCarmel Mental Health Center, Affiliated to Rappaport Faculty of Medicine Technion, Israel Institute of Technology, Haifa, Israel
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Adel Shalata
- The Simon Winter Institute for Human Genetics, Bnai Zion Medical Center, The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel
| | - Stacey S Cherny
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Adelson School of Medicine, Ariel University, Ariel, Israel
- Correspondence: Gregory Livshits, Department of Morphological Studies, Adelson School of Medicine, Ariel University, Ariel, 40700, Israel, Tel +972-3-6409494, Fax +972-3-6408287, Email
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15
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Kalinkovich A, Livshits G. Biased and allosteric modulation of bone cell-expressing G protein-coupled receptors as a novel approach to osteoporosis therapy. Pharmacol Res 2021; 171:105794. [PMID: 34329703 DOI: 10.1016/j.phrs.2021.105794] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 07/20/2021] [Accepted: 07/25/2021] [Indexed: 12/16/2022]
Abstract
On the cellular level, osteoporosis (OP) is a result of imbalanced bone remodeling, in which osteoclastic bone resorption outcompetes osteoblastic bone formation. Currently available OP medications include both antiresorptive and bone-forming drugs. However, their long-term use in OP patients, mainly in postmenopausal women, is accompanied by severe side effects. Notably, the fundamental coupling between bone resorption and formation processes underlies the existence of an undesirable secondary outcome that bone anabolic or anti-resorptive drugs also reduce bone formation. This drawback requires the development of anti-OP drugs capable of selectively stimulating osteoblastogenesis and concomitantly reducing osteoclastogenesis. We propose that the application of small synthetic biased and allosteric modulators of bone cell receptors, which belong to the G-protein coupled receptors (GPCR) family, could be the key to resolving the undesired anti-OP drug selectivity. This approach is based on the capacity of these GPCR modulators, unlike the natural ligands, to trigger signaling pathways that promote beneficial effects on bone remodeling while blocking potentially deleterious effects. Under the settings of OP, an optimal anti-OP drug should provide fine-tuned regulation of downstream effects, for example, intermittent cyclic AMP (cAMP) elevation, preservation of Ca2+ balance, stimulation of osteoprotegerin (OPG) and estrogen production, suppression of sclerostin secretion, and/or preserved/enhanced canonical β-catenin/Wnt signaling pathway. As such, selective modulation of GPCRs involved in bone remodeling presents a promising approach in OP treatment. This review focuses on the evidence for the validity of our hypothesis.
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Affiliation(s)
- Alexander Kalinkovich
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6905126, Israel
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6905126, Israel; Adelson School of Medicine, Ariel University, Ariel 4077625, Israel.
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16
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Ghosh S, Kasher M, Malkina I, Livshits G. Is craniofacial morphology and body composition related by common genes: Comparative analysis of two ethnically diverse populations. Am J Phys Anthropol 2021; 176:249-261. [PMID: 34297355 DOI: 10.1002/ajpa.24373] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 06/30/2021] [Accepted: 07/07/2021] [Indexed: 01/18/2023]
Abstract
OBJECTIVES The overarching hypothesis of the present paper is that ethnically and/or genetically diverse human populations may exhibit similarity in correlations between various aspects of human phenotypes due to the morphological integration process during the ontogenetic stages. To test this we investigated whether an association between craniofacial (CF) features and body composition (BC) variations is present in humans and the extent to which such possible associations are comparable in different populations. Furthermore, the paper examines the contribution of common genetic (additive) and shared familial environmental factors in assessing the correlation between CF and BC characteristics in humans. MATERIALS AND METHODS Two pedigree-based samples were collected from two distinct populations, including India (Santhal) and Europe (Chuvash). Canonical correlation analysis was used to compare the association between CF and BC characteristics in the two studied samples. The contribution of genetic and familial environmental factors on the correlation between CF and BC features was analyzed through variance decomposition analysis by implementing the Mendelian Analysis package (MAN). RESULTS Our study suggests that CF morphology is significantly (p < 0.001) associated with BC variation in both samples. CF characteristics and BC phenotypes revealed a consistent trend in both samples where condensed and broad CF morphology was significantly associated with increased fat accumulation, with slight variations between the Santhal and Chuvash samples. Despite the variations observed between the samples, the heritability estimates were impressively equivalent for traits like total facial height (55.6%Santhal vs.56.1%Chuvash ) and nasal index (42.8%Santhal vs. 43.3%Chuvash ). DISCUSSION The genetic contribution of CF morphology appeared to be extensive and the contribution of common genetic and shared family environmental correlations between CF and BC measures were suggestively substantial. Accordingly, these correlations were consistently observed across ethnically diverse populations, despite drastic morphological differences between the samples under comparison.
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Affiliation(s)
- Sudipta Ghosh
- Department of Anthropology, North-Eastern Hill University, Shillong, Meghalaya, India
| | - Melody Kasher
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | - Ida Malkina
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.,Adelson School of Medicine, Ariel University, Ariel, Israel
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17
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Cherny SS, Livshits G, Wells HRR, Freidin MB, Malkin I, Dawson SJ, Williams FMK. Correction: Self-reported hearing loss questions provide a good measure for genetic studies: a polygenic risk score analysis from UK Biobank. Eur J Hum Genet 2021; 30:1195. [PMID: 33712805 DOI: 10.1038/s41431-021-00842-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Stacey S Cherny
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Twin Research and Genetic Epidemiology, School of Life Course Science, King's College London, London, UK.,Adelson School of Medicine, Ariel University, Ariel, Israel
| | - Helena R R Wells
- Department of Twin Research and Genetic Epidemiology, School of Life Course Science, King's College London, London, UK
| | - Maxim B Freidin
- Department of Twin Research and Genetic Epidemiology, School of Life Course Science, King's College London, London, UK
| | - Ida Malkin
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sally J Dawson
- Centre for Auditory Research, UCL Ear Institute, University College London, London, UK
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Science, King's College London, London, UK.
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18
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Livshits G, Kalinkovich A. Specialized, pro-resolving mediators as potential therapeutic agents for alleviating fibromyalgia symptomatology. Pain Med 2021; 23:977-990. [PMID: 33565588 DOI: 10.1093/pm/pnab060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To present a hypothesis on a novel strategy in the treatment of fibromyalgia (FM). DESIGN A narrative review. SETTING FM as a disease remains a challenging concept for numerous reasons, including undefined etiopathogenesis, unclear triggers and unsuccessful treatment modalities. We hypothesize that the inflammatome, the entire set of molecules involved in inflammation, acting as a common pathophysiological instrument of gut dysbiosis, sarcopenia, and neuroinflammation, is one of the major mechanisms underlying FM pathogenesis. In this setup, dysbiosis is proposed as the primary trigger of the inflammatome, sarcopenia as the peripheral nociceptive source, and neuroinflammation as the central mechanism of pain sensitization, transmission and symptomatology of FM. Whereas neuroinflammation is highly-considered as a critical deleterious element in FM pathogenesis, the presumed pathogenic roles of sarcopenia and systemic inflammation remain controversial. Nevertheless, sarcopenia-associated processes and dysbiosis have been recently detected in FM individuals. The prevalence of pro-inflammatory factors in the cerebrospinal fluid and blood has been repeatedly observed in FM individuals, supporting an idea on the role of inflammatome in FM pathogenesis. As such, failed inflammation resolution might be one of the underlying pathogenic mechanisms. In accordance, the application of specialized, inflammation pro-resolving mediators (SPMs) seems most suitable for this goal. CONCLUSIONS The capability of various SPMs to prevent and attenuate pain has been repeatedly demonstrated in laboratory animal experiments. Since SPMs suppress inflammation in a manner that does not compromise host defense, they could be attractive and safe candidates for the alleviation of FM symptomatology, probably in combination with anti-dysbiotic medicine.
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Affiliation(s)
- Gregory Livshits
- Adelson School of Medicine, Ariel University, Ariel, Israel.,Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Alexander Kalinkovich
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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19
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Kalinkovich A, Pouyrovsky M, Nasyrova R, Livshits G. Biased activation of inflammation pro-resolving receptors as an evolving supportive strategy in schizophrenia treatment. Schizophr Res 2021; 228:295-297. [PMID: 33497903 DOI: 10.1016/j.schres.2021.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 01/03/2021] [Accepted: 01/11/2021] [Indexed: 10/22/2022]
Affiliation(s)
- Alexander Kalinkovich
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Michael Pouyrovsky
- Maale HaCarmel Mental Health Center, Affiliated to Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel
| | - Regina Nasyrova
- V. M. Bekhterev National Research Medical Center for Psychiatry and Neurology, Russian Federation Ministry of Health, Bekhterev Street, St. Petersburg, Russia
| | - Gregory Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Israel; Adelson School of Medicine, Ariel University, Ariel, Israel.
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20
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Kasher M, Williams FMK, Freidin MB, Cherny S, Livshits G. An in-depth study of the associations between osteoarthritis- and osteoporosis-related phenotypes at different skeletal locations. Osteoporos Int 2020; 31:2197-2208. [PMID: 32556517 DOI: 10.1007/s00198-020-05504-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 06/12/2020] [Indexed: 01/01/2023]
Abstract
UNLABELLED The relationship between OA and osteoporosis characteristics remains controversial. This study revealed that age-adjusted hand OA is associated with lower hand/arm BMD levels. Wrist fracture occurrence is associated with increased OA hand scores and low arm BMD. Conversely, age-adjusted knee and spine OA is associated with high spine, hip, and total BMDs. INTRODUCTION Osteoarthritis (OA) and osteoporosis are two common musculoskeletal diseases which contribute a high burden of disability, yet assessments of their relationship remains controversial. The aim of this study was to clarify the association between bone mineral densities (BMD) of the hand, arm, spine, hip, and total body, and OA of the hand and knee and lumbar disc degeneration in two different ethnic groups. METHODS Radiographic assessments of the hand, knee, and spine were collected and coded for joint space narrowing, osteophytes, and the Kellgren-Lawrence score from Chuvashian (n = 1504) and British (n = 2280) individuals. BMD measurements of standard skeletal sites were estimated by dual X-ray absorptiometry. Age- and familial-adjusted regression analyses were conducted to determine associations. RESULTS Knee OA affection was positively associated with elevated hip, spine, and total body BMD levels (p < 0.001). Additionally, disc degeneration phenotypes showed significant positive associations with the hip, spine, and total BMD (p < 0.001). However, increased hand OA scores was significantly negatively correlated with arm and hand BMD measurements in males and females in both samples (p < 0.001). Additionally, higher hand OA scores were significantly associated with wrist fracture. CONCLUSIONS We discovered a clear pattern of association between hand OA and low hand and arm BMD, with increased risk of wrist fracture, as well as reproducing previous associations between knee and spine OA and elevated spine, hip, and total body BMD. It appears that hand OA manifests differently in comparison to hip and knee OA.
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Affiliation(s)
- M Kasher
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Ramat-Aviv, Tel Aviv, Israel
| | - F M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - M B Freidin
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - S Cherny
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Ramat-Aviv, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - G Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Ramat-Aviv, Tel Aviv, Israel.
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK.
- Adelson Medical School, Ariel University, Ariel, Israel.
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21
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Kalinkovich A, Pouyrovsky M, Nasyrova R, Livshits G. Resolution of chronic inflammation as a new adjunctive approach in schizophrenia treatment. Brain Behav Immun 2020; 88:867-869. [PMID: 32224057 DOI: 10.1016/j.bbi.2020.03.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 03/23/2020] [Accepted: 03/24/2020] [Indexed: 01/07/2023] Open
Affiliation(s)
- Alexander Kalinkovich
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Michael Pouyrovsky
- Maale HaCarmel Mental Health Center, Affiliated to Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel
| | - Regina Nasyrova
- V.M. Bekhterev National Research Medical Center for Psychiatry and Neurology, Department of Personalized Psychiatry and Neurology, St.-Petersburg, Russia
| | - Gregory Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Israel; Adelson School of Medicine, Ariel University, Ariel, Israel.
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Livshits G, Kalinkovich A. Inflammaging as a common ground for the development and maintenance of sarcopenia, obesity, cardiomyopathy and dysbiosis. Ageing Res Rev 2019; 56:100980. [PMID: 31726228 DOI: 10.1016/j.arr.2019.100980] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 10/29/2019] [Accepted: 11/04/2019] [Indexed: 12/12/2022]
Abstract
Sarcopenia, obesity and their coexistence, obese sarcopenia (OBSP) as well as atherosclerosis-related cardio-vascular diseases (ACVDs), including chronic heart failure (CHF), are among the greatest public health concerns in the ageing population. A clear age-dependent increased prevalence of sarcopenia and OBSP has been registered in CHF patients, suggesting mechanistic relationships. Development of OBSP could be mediated by a crosstalk between the visceral and subcutaneous adipose tissue (AT) and the skeletal muscle under conditions of low-grade local and systemic inflammation, inflammaging. The present review summarizes the emerging data supporting the idea that inflammaging may serve as a mutual mechanism governing the development of sarcopenia, OBSP and ACVDs. In support of this hypothesis, various immune cells release pro-inflammatory mediators in the skeletal muscle and myocardium. Subsequently, the endothelial structure is disrupted, and cellular processes, such as mitochondrial activity, mitophagy, and autophagy are impaired. Inflamed myocytes lose their contractile properties, which is characteristic of sarcopenia and CHF. Inflammation may increase the risk of ACVD events in a hyperlipidemia-independent manner. Significant reduction of ACVD event rates, without the lowering of plasma lipids, following a specific targeting of key pro-inflammatory cytokines confirms a key role of inflammation in ACVD pathogenesis. Gut dysbiosis, an imbalanced gut microbial community, is known to be deeply involved in the pathogenesis of age-associated sarcopenia and ACVDs by inducing and supporting inflammaging. Dysbiosis induces the production of trimethylamine-N-oxide (TMAO), which is implicated in atherosclerosis, thrombosis, metabolic syndrome, hypertension and poor CHF prognosis. In OBSP, AT dysfunction and inflammation induce, in concert with dysbiosis, lipotoxicity and other pathophysiological processes, thus exacerbating sarcopenia and CHF. Administration of specialized, inflammation pro-resolving mediators has been shown to ameliorate the inflammatory manifestations. Considering all these findings, we hypothesize that sarcopenia, OBSP, CHF and dysbiosis are inflammaging-oriented disorders, whereby inflammaging is common and most probably the causative mechanism driving their pathogenesis.
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Affiliation(s)
- Gregory Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel.; Adelson School of Medicine, Ariel University, Ariel, Israel..
| | - Alexander Kalinkovich
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel
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Kasher M, Gabdulina G, Beissebayeva A, Mussabaeva D, Tokarev A, Sarssenbayeva M, Omarova K, Mominova G, Livshits G. Rheumatoid arthritis is associated with exacerbated body composition deterioration in Kazakh females. Nutrition 2019; 66:219-226. [DOI: 10.1016/j.nut.2019.06.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 05/27/2019] [Accepted: 06/08/2019] [Indexed: 11/28/2022]
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Kalinkovich A, Livshits G. A cross talk between dysbiosis and gut-associated immune system governs the development of inflammatory arthropathies. Semin Arthritis Rheum 2019; 49:474-484. [PMID: 31208713 DOI: 10.1016/j.semarthrit.2019.05.007] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 05/09/2019] [Accepted: 05/28/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Emerging evidence suggests that dysbiosis, imbalanced gut microbial community, might be a key player in the development of various diseases, including inflammatory arthropathies, such as rheumatoid arthritis, spondyloarthritis (mainly, ankylosing spondylitis and psoriatic arthritis), and osteoarthritis. Yet, the underlying mechanisms and corresponding interactions remain poorly understood. METHODS We conducted a critical and extensive literature review to explore the association between dysbiosis and the development of inflammatory arthropathies. We also reviewed the literature to assess the perspectives that ameliorate inflammatory arthropathies by manipulating the microbiota with probiotics, prebiotics or fecal microbiota transplantation. RESULTS Some bacterial species (e.g. Prevotella, Citrobacter rodentium, Collinsella aerofaciens, Segmented filamentous bacteria) participate in the creation of the pro-inflammatory immune status, presumably via epitope mimicry, modification of self-antigens, enhanced cell apoptosis mechanisms, and destruction of tight junction proteins and intestinal barrier integrity, all leading to the development and maintainance of inflammatory arthropathies. Whether dysbiosis is an epiphenomenon or is an active driver of these disorders remains unclear, yet, recent observations clearly suggest that dysbiosis precedes and triggers their development implying a causative relationship between dysbiosis and inflammatory arthropathies. The underlying mechanisms include dysbiosis-mediated changes in the functional activity of the intestinal immune cell subsets, such as innate lymphoid cells, mucosa-associated invariant T cells, invariant natural killer T cells, T-follicular helper and T-regulatory cells. In turn, disturbed functionality of the gut-associated immune system is shown to promote the overgrowth of many bacteria, thus establishing a detrimental vicious circle of actively maintaining arthritis. CONCLUSIONS Analysis of the data described in the review supports the notion that a close, dynamic and tightly regulated cross talk between dysbiosis and the gut-associated immune system governs the development of inflammatory arthropathies.
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Affiliation(s)
- Alexander Kalinkovich
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Gregory Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
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25
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Tarabeih N, Shalata A, Trofimov S, Kalinkovich A, Livshits G. Growth and differentiation factor 15 is a biomarker for low back pain-associated disability. Cytokine 2019; 117:8-14. [DOI: 10.1016/j.cyto.2019.01.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 01/10/2019] [Accepted: 01/17/2019] [Indexed: 11/29/2022]
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Cherny SS, Freidin MB, Williams FMK, Livshits G. The analysis of causal relationships between blood lipid levels and BMD. PLoS One 2019; 14:e0212464. [PMID: 30794634 PMCID: PMC6386286 DOI: 10.1371/journal.pone.0212464] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 02/01/2019] [Indexed: 12/11/2022] Open
Abstract
Bone mineral density (BMD) and lipid levels are two of the most extensively studied risk factors for common diseases of aging, such as cardiovascular disease (CVD) and osteoporosis (OP). These two risk factors are also correlated with each other, but little is known about the molecular mechanisms behind this correlation. Recent studies revealed that circulating levels of several metabolites involved in the biosynthesis of androsterone correlate significantly with BMD and have the capacity to affect cholesterol and lipids levels. A main aim of the present study was to investigate the hypothesis that androsterone-related metabolites could provide a link between CVD and OP, as a common cause of lipid levels and BMD. The present study employed data from the NIHR BRC TwinsUK BioResource, comprising 1909 and 1994 monozygotic and dizygotic twin pairs, respectively, to address the causal relationships among BMD and lipids, and their associated metabolites, using reciprocal causation twin modelling, as well as Mendelian randomization (MR) using large publicly-available GWAS datasets on lipids and BMD, in conjunction with TwinsUK metabolite data. While results involving the twin modelling and MR analyses with metabolites were unable to establish a causal link between metabolite levels and either lipids or BMD, MR analyses of BMD and lipids suggest that lipid levels have a causal impact on BMD, which is consistent with findings from clinical trials of lipid-lowering drugs, which have also increased BMD.
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Affiliation(s)
- Stacey S. Cherny
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Maxim B. Freidin
- Department of Twin Research and Genetic Epidemiology, School of Life Course Science, King’s College London, London, United Kingdom
| | - Frances M. K. Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Science, King’s College London, London, United Kingdom
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Twin Research and Genetic Epidemiology, School of Life Course Science, King’s College London, London, United Kingdom
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27
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Karasik D, Zillikens MC, Hsu YH, Aghdassi A, Akesson K, Amin N, Barroso I, Bennett DA, Bertram L, Bochud M, Borecki IB, Broer L, Buchman AS, Byberg L, Campbell H, Campos-Obando N, Cauley JA, Cawthon PM, Chambers JC, Chen Z, Cho NH, Choi HJ, Chou WC, Cummings SR, de Groot LCPGM, De Jager PL, Demuth I, Diatchenko L, Econs MJ, Eiriksdottir G, Enneman AW, Eriksson J, Eriksson JG, Estrada K, Evans DS, Feitosa MF, Fu M, Gieger C, Grallert H, Gudnason V, Lenore LJ, Hayward C, Hofman A, Homuth G, Huffman KM, Husted LB, Illig T, Ingelsson E, Ittermann T, Jansson JO, Johnson T, Biffar R, Jordan JM, Jula A, Karlsson M, Khaw KT, Kilpeläinen TO, Klopp N, Kloth JSL, Koller DL, Kooner JS, Kraus WE, Kritchevsky S, Kutalik Z, Kuulasmaa T, Kuusisto J, Laakso M, Lahti J, Lang T, Langdahl BL, Lerch MM, Lewis JR, Lill C, Lind L, Lindgren C, Liu Y, Livshits G, Ljunggren Ö, Loos RJF, Lorentzon M, Luan J, Luben RN, Malkin I, McGuigan FE, Medina-Gomez C, Meitinger T, Melhus H, Mellström D, Michaëlsson K, Mitchell BD, Morris AP, Mosekilde L, Nethander M, Newman AB, O'Connell JR, Oostra BA, Orwoll ES, Palotie A, Peacock M, Perola M, Peters A, Prince RL, Psaty BM, Räikkönen K, Ralston SH, Ripatti S, Rivadeneira F, Robbins JA, Rotter JI, Rudan I, Salomaa V, Satterfield S, Schipf S, Shin CS, Smith AV, Smith SB, Soranzo N, Spector TD, Stančáková A, Stefansson K, Steinhagen-Thiessen E, Stolk L, Streeten EA, Styrkarsdottir U, Swart KMA, Thompson P, Thomson CA, Thorleifsson G, Thorsteinsdottir U, Tikkanen E, Tranah GJ, Uitterlinden AG, van Duijn CM, van Schoor NM, Vandenput L, Vollenweider P, Völzke H, Wactawski-Wende J, Walker M, J Wareham N, Waterworth D, Weedon MN, Wichmann HE, Widen E, Williams FMK, Wilson JF, Wright NC, Yerges-Armstrong LM, Yu L, Zhang W, Zhao JH, Zhou Y, Nielson CM, Harris TB, Demissie S, Kiel DP, Ohlsson C. Disentangling the genetics of lean mass. Am J Clin Nutr 2019; 109:276-287. [PMID: 30721968 PMCID: PMC6500901 DOI: 10.1093/ajcn/nqy272] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 09/11/2018] [Indexed: 12/17/2022] Open
Abstract
Background Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass. Objectives To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci. Methods We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n = 38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment; Model 2 adjustment for fat mass as a percentage of body mass; Model 3 adjustment for fat mass in kilograms). Results Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as "sumo wrestler" loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed "body builder" loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in "body builder" loci were associated with metabolic protection. Conclusions In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.
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Affiliation(s)
- David Karasik
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Yi-Hsiang Hsu
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Ali Aghdassi
- Department of Medicine A, University of Greifswald, Greifswald, Germany
| | - Kristina Akesson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
- NIHR Cambridge Biomedical Research Centre
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Murielle Bochud
- University Institute for Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Ingrid B Borecki
- Division of Statistical Genomics, Department of Genetics
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO
| | - Linda Broer
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Aron S Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Liisa Byberg
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, United Kingdom
| | | | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - John C Chambers
- Cardiology, Ealing Hospital NHS Trust, London, United Kingdom
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
- NIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, London, United Kingdom
| | - Zhao Chen
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ
| | - Nam H Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Youngtong-Gu, Suwon, Korea
| | - Hyung Jin Choi
- Department of Internal Medicine
- Department of Anatomy and Cell Biology, Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Wide River Institute of Immunology, Seoul National University, Hongcheon, Korea
| | - Wen-Chi Chou
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA
- Broad Institute, Cambridge, MA
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA
| | | | - Phillip L De Jager
- Center for Translational and Computational Neuroimmunology, Neurology, Columbia University Medical Center, New York, NY
- Cell Circuits Program, Broad Institute, Cambridge, MA
| | - Ilja Demuth
- Charité—Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Luda Diatchenko
- Regional Center for Neurosensory Disorders, School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Alan Edwards Centre for Research on Pain, McGill University, Montreal, Canada
| | - Michael J Econs
- Department of Medicine and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | | | - Anke W Enneman
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Joel Eriksson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Johan G Eriksson
- National Institute for Health and Welfare, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland
- Folkhalsan Research Centre, Helsinki, Finland
| | - Karol Estrada
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Translational Biology, Biogen, Cambridge, MA
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics
| | - Mao Fu
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
| | - Christian Gieger
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology II
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology II
- CCG Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- CCG Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association Holtasmari, Kopavogur, Iceland
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
| | - Launer J Lenore
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, NIA, Bethesda, MD
| | - Caroline Hayward
- MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh, United Kingdom
| | - Albert Hofman
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Kim M Huffman
- Duke Molecular Physiology Institute and Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Lise B Husted
- Aarhus University Hospital, Endocrinology and Internal Medicine, Aarhus, Denmark
| | - Thomas Illig
- Research Unit of Molecular Epidemiology
- Department of Human Genetics, Hannover Medical School, Hanover, Germany
| | - Erik Ingelsson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Till Ittermann
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - John-Olov Jansson
- Department of Physiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Toby Johnson
- University Institute for Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Reiner Biffar
- Centre of Oral Health, Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University of Greifswald, Greifswald, Germany
| | - Joanne M Jordan
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Antti Jula
- National Institute for Health and Welfare, Helsinki, Finland
| | - Magnus Karlsson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Tuomas O Kilpeläinen
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Norman Klopp
- Research Unit of Molecular Epidemiology
- Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | | | - Daniel L Koller
- Department of Medicine and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Jaspal S Kooner
- Cardiology, Ealing Hospital NHS Trust, London, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
- Faculty of Medicine, National Heart & Lung Institute, Cardiovascular Science, Hammersmith Campus, Hammersmith Hospital, Imperial College London, United Kingdom
| | - William E Kraus
- Duke Molecular Physiology Institute and Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Stephen Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Zoltán Kutalik
- University Institute for Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Teemu Kuulasmaa
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Jari Lahti
- Helsinki Collegium Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Thomas Lang
- Department of Radiology and Biomedical Imaging, and School of Dentistry, UC San Francisco, San Francisco, CA
| | - Bente L Langdahl
- Aarhus University Hospital, Endocrinology and Internal Medicine, Aarhus, Denmark
| | - Markus M Lerch
- Department of Medicine A, University of Greifswald, Greifswald, Germany
| | - Joshua R Lewis
- School of Medicine and Pharmacology, University of Western Australia, Perth, Australia
- Centre for Kidney Research, Children's Hospital at Westmead, School of Public Health, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Christina Lill
- Institute of Neurogenetics, University of Luebeck, Luebeck, Germany
| | - Lars Lind
- Department. of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Cecilia Lindgren
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, United Kingdom
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, United Kingdom
| | - Östen Ljunggren
- Department. of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ruth J F Loos
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
- The Charles Bronfman Institute of Personalized Medicine
- Institute of Child Health and Development
- The Genetics of Obesity and Related Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Mattias Lorentzon
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Jian'an Luan
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Robert N Luben
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ida Malkin
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Fiona E McGuigan
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Thomas Meitinger
- Institute of Human Genetics, MRI, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
| | - Håkan Melhus
- Department. of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Dan Mellström
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Karl Michaëlsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Braxton D Mitchell
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
- Geriatric Research and Education Clinical Center—Veterans Administration Medical Center, Baltimore, MD
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, United Kingdom
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Leif Mosekilde
- Aarhus University Hospital, Endocrinology and Internal Medicine, Aarhus, Denmark
| | - Maria Nethander
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Jeffery R O'Connell
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
| | - Ben A Oostra
- Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
- Centre for Medical Systems Biology & Netherlands Consortium on Healthy Aging, Leiden, The Netherlands
| | | | - Aarno Palotie
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - Munro Peacock
- Department of Medicine and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki, Finland
- University of Helsinki, Institute for Molecular Medicine, Finland and Diabetes and Obesity Research Program, Helsinki, Finland
- University of Tartu, Estonian Genome Center, Tartu, Estonia
| | - Annette Peters
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology II
| | - Richard L Prince
- School of Medicine and Pharmacology, University of Western Australia, Perth, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gardiner Hospital, Perth, Australia
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Stuart H Ralston
- Molecular Medicine Centre, MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Samuli Ripatti
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Hjelt Institute, University of Helsinki, Helsinki, Finland
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - John A Robbins
- Department of Medicine, University California at Davis, Sacramento, CA
| | - Jerome I Rotter
- Institute for Translational Genomic and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor UCLA Medical Center, Torrance, CA
| | - Igor Rudan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Suzanne Satterfield
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN
| | - Sabine Schipf
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | | | - Albert V Smith
- Icelandic Heart Association Holtasmari, Kopavogur, Iceland
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
| | - Shad B Smith
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University, Durham, NC
| | - Nicole Soranzo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, United Kingdom
| | - Alena Stančáková
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kari Stefansson
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
- deCODE Genetics, Reykjavik, Iceland
| | | | - Lisette Stolk
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Elizabeth A Streeten
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
- Geriatric Research and Education Clinical Center—Veterans Administration Medical Center, Baltimore, MD
| | | | - Karin M A Swart
- Department of Epidemiology and Biostatistics, and the EMGO+ Institute; VU University Medical Center, Amsterdam, The Netherlands
| | | | - Cynthia A Thomson
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ
| | | | - Unnur Thorsteinsdottir
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
- deCODE Genetics, Reykjavik, Iceland
| | - Emmi Tikkanen
- National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Centre for Medical Systems Biology & Netherlands Consortium on Healthy Aging, Leiden, The Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, and the EMGO+ Institute; VU University Medical Center, Amsterdam, The Netherlands
| | - Liesbeth Vandenput
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital and Faculty of Biology and Medicine, Lausanne, Switzerland
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, SUNY, Buffalo, NY
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), The Medical School, Newcastle University, Framlington Place, Newcastle upon Tyne, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | | | - Michael N Weedon
- Genetics of Complex Traits, Royal Devon & Exeter Hospital, University of Exeter Medical School, Exeter, United Kingdom
| | - H-Erich Wichmann
- Institute of Epidemiology II
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Neuherberg/Munich, Germany
- Institute of Medical Statistics and Epidemiology, Technical University, Munich, Germany
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, United Kingdom
| | - James F Wilson
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, United Kingdom
| | - Nicole C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
| | - Laura M Yerges-Armstrong
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
- Genetics, GlaxoSmithKline, King of Prussia, PA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Weihua Zhang
- Cardiology, Ealing Hospital NHS Trust, London, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Yanhua Zhou
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | | | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, NIA, Bethesda, MD
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Douglas P Kiel
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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28
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Livshits G, Malkin I, Bowyer RC, Verdi S, Bell JT, Menni C, Williams FM, Steves CJ. Multi-OMICS analyses of frailty and chronic widespread musculoskeletal pain suggest involvement of shared neurological pathways. Pain 2018; 159:2565-2572. [PMID: 30086113 PMCID: PMC6250282 DOI: 10.1097/j.pain.0000000000001364] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 07/25/2018] [Indexed: 01/25/2023]
Abstract
Chronic widespread musculoskeletal pain (CWP) and frailty are prevalent conditions in older people. We have shown previously that interindividual variation in frailty and CWP is genetically determined. We also reported an association of frailty and CWP caused by shared genetic and common environmental factors. The aim of this study was to use omic approaches to identify molecular genetic factors underlying the heritability of frailty and its genetic correlation with CWP. Frailty was quantified through the Rockwood Frailty Index (FI) as a proportion of deficits from 33 binary health deficit questions in 3626 female twins. Common widespread pain was assessed using a screening questionnaire. OMICS analysis included 305 metabolites and whole-genome (>2.5 × 10 SNPs) and epigenome (∼1 × 10 MeDIP-seq regions) assessments performed on fasting blood samples. Using family-based statistical analyses, including path analysis, we examined how FI scores were related to molecular genetic factors and to CWP, taking into account known risk factors such as fat mass and smoking. Frailty Index was significantly correlated with 51 metabolites after correction for multiple testing, with 20 metabolites having P-values between 2.1 × 10 and 4.0 × 10. Three metabolites (uridine, C-glycosyl tryptophan, and N-acetyl glycine) were statistically independent and thought to exert a direct effect on FI. Epiandrosterone sulphate, previously shown to be highly inversely associated with CWP, was found to exert an indirect influence on FI. Bioinformatics analysis of genome-wide association study and EWAS showed that FI and its covariation with CWP was through genomic regions involved in neurological pathways. Neurological pathway involvement accounts for the associated conditions of aging CWP and FI.
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Affiliation(s)
- Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Ida Malkin
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ruth C.E. Bowyer
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Serena Verdi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Jordana T. Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Frances M.K. Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Claire J. Steves
- Clinical Age Research Unit, King's College Hospitals Foundation Trust, London, United Kingdom
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29
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Kalinkovich A, Gabdulina G, Livshits G. Autoimmunity, inflammation, and dysbiosis mutually govern the transition from the preclinical to the clinical stage of rheumatoid arthritis. Immunol Res 2018; 66:696-709. [DOI: 10.1007/s12026-018-9048-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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30
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Abstract
AIM In overweight/obese individuals, modest 5% weight loss and its maintenance promotes health; however, it is challenging and typically unachievable, especially in community settings. Established predictors of weight loss outcome in a community setting are lacking, hindering the development of practical interventions and prevention tools. Our aim was to identify predictors associated with 5% weight reduction (initial 6 months) and maintenance (1 year) in overweight and obese adults undergoing weight reduction treatment, free of charge, in a community setting. METHODS Computerised medical files of 11 842 adults aged 50.6 ± 16.3 years, attending 162 primary clinics, were analysed retrospectively. Thirty medical, biochemical and demographic independent variables were tested as potential predictors using multiple logistic regression models. RESULTS Significant predictors of high successful weight reduction were: not being treated with insulin (odds ratio (OR) = 0.53), higher baseline body mass index (OR = 1.05) and younger age (OR = 0.98). Weight maintenance predictors were: successful initial weight reduction (OR = 1.26), short time intervals between weighings (OR = 0.88) and frequent weighing (OR = 0.95). Visits to a dietitian were significantly associated with success during both periods: each visit raised the probability of success by 13.4 and 7.6%, respectively. Type 2 diabetes or use of hypoglycaemic drugs were not significant predictors. CONCLUSIONS In a community-based setting, number of visits to a dietitian is a strong predictor of successful weight reduction and maintenance. Initial success is a critical predictor of weight loss maintenance. Subgroup of older, diabetic patients treated with insulin has a dramatically lower probability of weight reduction success.
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Affiliation(s)
- Adina Bachar
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Unit of Research, Clalit Health Services, Sharon - Shomron District, Netanya, Israel.,Department of Nutrition, Faculty of Health Sciences, Ariel University, Ariel, Israel
| | - Gregory Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ruth Birk
- Department of Nutrition, Faculty of Health Sciences, Ariel University, Ariel, Israel
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31
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Freidin MB, Wells HRR, Potter T, Livshits G, Menni C, Williams FMK. Metabolomic markers of fatigue: Association between circulating metabolome and fatigue in women with chronic widespread pain. Biochim Biophys Acta Mol Basis Dis 2018; 1864:601-606. [PMID: 29197660 PMCID: PMC5764223 DOI: 10.1016/j.bbadis.2017.11.025] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 10/16/2017] [Accepted: 11/28/2017] [Indexed: 01/22/2023]
Abstract
BACKGROUND Fatigue is a sensation of unbearable tiredness that frequently accompanies chronic widespread musculoskeletal pain (CWP) and inflammatory joint disease. Its mechanisms are poorly understood and there is a lack of effective biomarkers for diagnosis and onset prediction. We studied the circulating metabolome in a population sample characterised for CWP to identify biomarkers showing specificity for fatigue. MATERIAL AND METHODS Untargeted metabolomic profiling was conducted on fasting plasma and serum samples of 1106 females with and without CWP from the TwinsUK cohort. Linear mixed-effects models accounting for covariates were used to determine relationships between fatigue and metabolites. Receiver operating curve (ROC)-analysis was used to determine predictive value of metabolites for fatigue. RESULTS While no association between fatigue and metabolites was identified in twins without CWP (n=711), in participants with CWP (n=395), levels of eicosapentaenoate (EPA) ω-3 fatty acid were significantly reduced in those with fatigue (β=-0.452±0.116; p=1.2×10-4). A significant association between fatigue and two other metabolites also emerged when BMI was excluded from the model: 3-carboxy-4-methyl-5-propyl-2-furanpropanoate (CMPF), and C-glycosyltryptophan (p=1.5×10-4 and p=3.1×10-4, respectively). ROC analysis has identified a combination of 15 circulating metabolites with good predictive potential for fatigue in CWP (AUC=75%; 95% CI 69-80%). CONCLUSION The results of this agnostic metabolomics screening show that fatigue is metabolically distinct from CWP, and is associated with a decrease in circulating levels of EPA. Our panel of circulating metabolites provides the starting point for a diagnostic test for fatigue in CWP.
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Affiliation(s)
- Maxim B Freidin
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Helena R R Wells
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Tilly Potter
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Gregory Livshits
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK; Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Israel
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
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32
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Livshits G, Kalinkovich A. Hierarchical, imbalanced pro-inflammatory cytokine networks govern the pathogenesis of chronic arthropathies. Osteoarthritis Cartilage 2018; 26:7-17. [PMID: 29074297 DOI: 10.1016/j.joca.2017.10.013] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 09/15/2017] [Accepted: 10/10/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Chronic inflammatory arthropathies, such as rheumatoid arthritis (RA), spondyloarthritis, including psoriatic arthritis (PsA), ankylosing spondyloarthritis (AS), osteoarthritis (OA), and intervertebral disc degenerative disease (DDD) constitute major public health problems that are anticipated to grow significantly as the human population ages. However, many aspects concerning the molecular mechanisms underlying their onset and progression remain unclear. DESIGN This narrative review critically analyzes the molecular mechanisms underlying the inflammation-associated pathogenesis of the aforementioned joint diseases. This includes, in particular, the major role played by several key soluble factors (such as cytokines and the associated signaling pathways, designated as "fragile nodes") produced by local cells and recruited to the joints' immune cells, whose elimination by specific drugs has dramatically improved the diseases' symptomatology and outcome in human clinical trials or in rodent arthritis models. HYPOTHESIS AND THE AIM OF THIS REVIEW We hypothesize that the pathogenesis of chronic inflammatory arthropathies is governed by hierarchical, imbalanced pro-inflammatory cytokine networks (HIPICNs) (comprising a combination of fragile nodes) that are created during the development of both autoimmune (RA, PsA, and AS) and non-autoimmune (OA and DDD) disorders. The main aim of this review is to provide evidence that despite substantial pathobiological differences between these arthropathies, the HIPICNs created are quite common, thus justifying the merging of these disorders mechanistically and suggesting that these common mechanisms exist in the onset and progression of different joint diseases.
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Affiliation(s)
- G Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Ramat Aviv, Tel Aviv 69978, Israel.
| | - A Kalinkovich
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Ramat Aviv, Tel Aviv 69978, Israel
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33
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Livshits G, Ni Lochlainn M, Malkin I, Bowyer R, Verdi S, Steves CJ, Williams FMK. Shared genetic influence on frailty and chronic widespread pain: a study from TwinsUK. Age Ageing 2018; 47:119-125. [PMID: 28985290 PMCID: PMC5860041 DOI: 10.1093/ageing/afx122] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Indexed: 11/16/2022] Open
Abstract
Introduction frailty is an increased vulnerability to adverse health outcomes, across multiple physiological systems, with both environmental and genetic drivers. The two most commonly used measures are Rockwood’s frailty index (FI) and Fried’s frailty phenotype (FP). Material and methods the present study included 3626 individuals from the TwinsUK Adult Twin Registry. We used the classical twin model to determine whether FI and FP share the same latent aetiological factors. We also investigated the relationship between frailty and chronic widespread musculoskeletal pain (CWP), another holistic age-related condition with significant clinical impact. Results FP and FI shared underlying genetic and environmental aetiology. CWP was associated with both frailty measures, and health deficits appeared to mediate the relationship between phenotypic frailty and pain. Latent genetic factors underpinning CWP were shared with frailty. While frailty was increased in the twins reporting pain, co-twin regression analysis indicated that the relationship between CWP and frailty is reduced after accounting for shared genetic and environmental factors. Conclusions both measures of frailty tap the same root causes, thus this work helps unify frailty research. We confirmed a strong association between CWP and frailty, and showed a large and significant shared genetic aetiology of both phenomena. Our findings argue against pain being a significant causative factor in the development of frailty, favouring common causation. This study highlights the need to manage CWP in frail individuals and undertake a Comprehensive Geriatric Assessment in individuals presenting with CWP. Finally, the search for genetic factors underpinning CWP and frailty could be aided by integrating measures of pain and frailty.
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Affiliation(s)
- Gregory Livshits
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Mary Ni Lochlainn
- Clinical Age Research Unit, King’s College Hospitals Foundation Trust, London, UK
| | - Ida Malkin
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ruth Bowyer
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Serena Verdi
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Claire J Steves
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
- Clinical Age Research Unit, King’s College Hospitals Foundation Trust, London, UK
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
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34
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Zillikens MC, Demissie S, Hsu YH, Yerges-Armstrong LM, Chou WC, Stolk L, Livshits G, Broer L, Johnson T, Koller DL, Kutalik Z, Luan J, Malkin I, Ried JS, Smith AV, Thorleifsson G, Vandenput L, Hua Zhao J, Zhang W, Aghdassi A, Åkesson K, Amin N, Baier LJ, Barroso I, Bennett DA, Bertram L, Biffar R, Bochud M, Boehnke M, Borecki IB, Buchman AS, Byberg L, Campbell H, Campos Obanda N, Cauley JA, Cawthon PM, Cederberg H, Chen Z, Cho NH, Jin Choi H, Claussnitzer M, Collins F, Cummings SR, De Jager PL, Demuth I, Dhonukshe-Rutten RAM, Diatchenko L, Eiriksdottir G, Enneman AW, Erdos M, Eriksson JG, Eriksson J, Estrada K, Evans DS, Feitosa MF, Fu M, Garcia M, Gieger C, Girke T, Glazer NL, Grallert H, Grewal J, Han BG, Hanson RL, Hayward C, Hofman A, Hoffman EP, Homuth G, Hsueh WC, Hubal MJ, Hubbard A, Huffman KM, Husted LB, Illig T, Ingelsson E, Ittermann T, Jansson JO, Jordan JM, Jula A, Karlsson M, Khaw KT, Kilpeläinen TO, Klopp N, Kloth JSL, Koistinen HA, Kraus WE, Kritchevsky S, Kuulasmaa T, Kuusisto J, Laakso M, Lahti J, Lang T, Langdahl BL, Launer LJ, Lee JY, Lerch MM, Lewis JR, Lind L, Lindgren C, Liu Y, Liu T, Liu Y, Ljunggren Ö, Lorentzon M, Luben RN, Maixner W, McGuigan FE, Medina-Gomez C, Meitinger T, Melhus H, Mellström D, Melov S, Michaëlsson K, Mitchell BD, Morris AP, Mosekilde L, Newman A, Nielson CM, O'Connell JR, Oostra BA, Orwoll ES, Palotie A, Parker SCJ, Peacock M, Perola M, Peters A, Polasek O, Prince RL, Räikkönen K, Ralston SH, Ripatti S, Robbins JA, Rotter JI, Rudan I, Salomaa V, Satterfield S, Schadt EE, Schipf S, Scott L, Sehmi J, Shen J, Soo Shin C, Sigurdsson G, Smith S, Soranzo N, Stančáková A, Steinhagen-Thiessen E, Streeten EA, Styrkarsdottir U, Swart KMA, Tan ST, Tarnopolsky MA, Thompson P, Thomson CA, Thorsteinsdottir U, Tikkanen E, Tranah GJ, Tuomilehto J, van Schoor NM, Verma A, Vollenweider P, Völzke H, Wactawski-Wende J, Walker M, Weedon MN, Welch R, Wichmann HE, Widen E, Williams FMK, Wilson JF, Wright NC, Xie W, Yu L, Zhou Y, Chambers JC, Döring A, van Duijn CM, Econs MJ, Gudnason V, Kooner JS, Psaty BM, Spector TD, Stefansson K, Rivadeneira F, Uitterlinden AG, Wareham NJ, Ossowski V, Waterworth D, Loos RJF, Karasik D, Harris TB, Ohlsson C, Kiel DP. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat Commun 2017; 8:1414. [PMID: 29116125 PMCID: PMC5676783 DOI: 10.1038/s41467-017-01008-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- M Carola Zillikens
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Yi-Hsiang Hsu
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA, 02115, USA
| | - Laura M Yerges-Armstrong
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Wen-Chi Chou
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Broad Institute, Cambridge, MA, 02142, USA
| | - Lisette Stolk
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands
| | - Gregory Livshits
- Sackler Faculty of Medicine, Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, 6997801, Israel.,Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, WC2R 2LS, UK
| | - Linda Broer
- Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Toby Johnson
- Department of Medical Genetics, University of Lausanne, Lausanne, 1011, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.,Centre Hospitalier Universitaire (CHUV), University Institute for Social and Preventive Medicine, Lausanne, 1010, Switzerland
| | - Daniel L Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, 1011, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.,Centre Hospitalier Universitaire (CHUV), University Institute for Social and Preventive Medicine, Lausanne, 1010, Switzerland
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK
| | - Ida Malkin
- Sackler Faculty of Medicine, Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Janina S Ried
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, 201, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | | | - Liesbeth Vandenput
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK
| | - Weihua Zhang
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College, London, SW7 2AZ, UK.,Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK
| | - Ali Aghdassi
- Department of Medicine A, University of Greifswald, Greifswald, 17489, Germany
| | - Kristina Åkesson
- Department of Clinical Sciences, Lund University, Malmö, 22362, Sweden.,Department of Orthopedics, Skåne University Hospital, Malmö, S-205 02, Sweden
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Leslie J Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ, 85014, USA
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK.,NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 OQQ, UK.,Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge Metabolic Research Laboratories, Cambridge, CB2 OQQ, UK
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Experimental & Integrative Genomics, University of Lübeck, Lübeck, 23562, Germany.,School of Public Health, Faculty of Medicine, Imperial College London, London, W6 8RP, UK
| | - Rainer Biffar
- Centre of Oral Health, Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University of Greifswald, Greifswald, 17489, Germany
| | - Murielle Bochud
- Centre Hospitalier Universitaire (CHUV), University Institute for Social and Preventive Medicine, Lausanne, 1010, Switzerland
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Ingrid B Borecki
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, 63110, USA.,Division of Biostatistics, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Aron S Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Liisa Byberg
- Department of Surgical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Harry Campbell
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, EH8 9AG, UK
| | | | - Jane A Cauley
- Department of Epidemiology Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, San Francisco, CA, 94107, USA
| | - Henna Cederberg
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Zhao Chen
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, 85714, USA
| | - Nam H Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Youngtong-Gu, Suwon, 16499, Korea
| | - Hyung Jin Choi
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea.,Department of Internal Medicine, Chungbuk National University Hospital, Cheongju Si, Korea
| | - Melina Claussnitzer
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Broad Institute, Cambridge, MA, 02142, USA.,Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, 02139, USA.,Institute of Human Genetics, MRI, Technische Universität München, Munich, 81675, Germany.,Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
| | - Francis Collins
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, MD, 20892, USA
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, 94107, USA
| | - Philip L De Jager
- Harvard Medical School, Boston, MA, 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, 02115, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA
| | - Ilja Demuth
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, 13353, Germany.,Institute of Medical and Human Genetics, Charité - Universitätsmedizin Berlin, Berlin, 13353, Germany
| | | | - Luda Diatchenko
- Alan Edwards Centre for Research on Pain, McGill University, Montreal, H3A 0G1, Canada.,Regional Center for Neurosensory Disorders, School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | | | - Anke W Enneman
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Mike Erdos
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, MD, 20892, USA
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, 00014, Finland.,Unit of General Practice, Helsinki University Central Hospital, Helsinki, 00014, Finland.,Folkhalsan Research Centre, Helsinki, 00250, Finland.,Vasa Central Hospital, Vasa, 65130, Finland.,National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Joel Eriksson
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Karol Estrada
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, 94107, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Mao Fu
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Melissa Garcia
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute for Aging, Bethesda, MD, 20892, USA
| | - Christian Gieger
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Thomas Girke
- Institute for Integrative Genome Biology, University of California, Riverside, CA, 92521, USA.,Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
| | - Nicole L Glazer
- Departments of Medicine and Epidemiology, Boston University School of Medicine and Public Health, Boston, MA, 02118, USA
| | - Harald Grallert
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,CCG Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, 85764, Germany.,CCG Nutrigenomics and Type 2 Diabetes. Helmholtz Zentrum München, Neuherberg, 85764, Germany
| | - Jagvir Grewal
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Bok-Ghee Han
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, 28159, Korea
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ, 85014, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh, Scotland, EH4 2XU, UK
| | - Albert Hofman
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Eric P Hoffman
- Department of Pharmaceutical Sciences, SUNY Binghamton, Binghamton, NY, 13902, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, 17487, Germany
| | - Wen-Chi Hsueh
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ, 85014, USA
| | - Monica J Hubal
- Department of Exercise and Nutrition Sciences, George Washington University, Washington, DC, 20052, USA.,Research Center for Genetic Medicine, Children's National Medical Center, Washington, DC, 20052, USA
| | - Alan Hubbard
- Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, 94720, USA
| | - Kim M Huffman
- Division of Rheumatology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Lise B Husted
- Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, DK 8000, Denmark
| | - Thomas Illig
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Department of Human Genetics, Hannover Medical School, Hannover, 30625, Germany.,Hannover Unified Biobank, Hannover Medical School, Hannover, 30625, Germany
| | - Erik Ingelsson
- Department of Medical Sciences, Uppsala University, Uppsala, 75185, Sweden.,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Till Ittermann
- Institute for Community Medicine, University of Greifswald, Greifswald, 17489, Germany
| | - John-Olov Jansson
- Department of Physiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE 405 30, Sweden
| | - Joanne M Jordan
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27517, USA
| | - Antti Jula
- National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Magnus Karlsson
- Department of Clinical Sciences and Orthopaedics, Lund University, Skåne University Hospital SUS, Malmö, 22362, Sweden
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Tuomas O Kilpeläinen
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK.,The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, 2100, Denmark.,Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Norman Klopp
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Hannover Unified Biobank, Hannover Medical School, Hannover, 30625, Germany
| | | | - Heikki A Koistinen
- Department of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, 00029, Finland.,Endocrinology, Abdominal Center, University of Helsinki and Helsinki University Central Hospital, Helsinki, 00029, Finland.,Department of Health, National Institute for Health and Welfare, Helsinki, 00271, Finland.,Minerva Foundation Institute for Medical Research, Helsinki, 00290, Finland
| | - William E Kraus
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Stephen Kritchevsky
- Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Teemu Kuulasmaa
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, FI00014, Finland
| | - Thomas Lang
- University of California San Francisco, San Francisco, CA, 94143, USA
| | - Bente L Langdahl
- Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, DK 8000, Denmark
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute for Aging, Bethesda, MD, 20892, USA
| | - Jong-Young Lee
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, 28159, Korea
| | - Markus M Lerch
- Department of Medicine A, University of Greifswald, Greifswald, 17489, Germany
| | - Joshua R Lewis
- School of Medicine and Pharmacology, University of Western Australia, Perth, 6009, Australia.,Centre for Kidney Research, School of Public Health, University of Sydney, Sydney, 2006, Australia
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Cecilia Lindgren
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, OX3 7BN, UK
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, 27517, USA
| | - Tian Liu
- Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.,Max Planck Institute for Human Development, Berlin, 14195, Germany
| | - Youfang Liu
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27517, USA
| | - Östen Ljunggren
- Department of Medical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Mattias Lorentzon
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Robert N Luben
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - William Maixner
- Regional Center for Neurosensory Disorders, School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Fiona E McGuigan
- Department of Clinical Sciences, Lund University, Malmö, 22362, Sweden
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Thomas Meitinger
- Institute of Human Genetics, MRI, Technische Universität München, Munich, 81675, Germany.,Institute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Håkan Melhus
- Department of Medical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Dan Mellström
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Simon Melov
- Buck Institute for Research on Aging, Novato, CA, 94945, USA.,Leonard Davis School of Gerontology, University of Southern California, LA, CA, 90089, USA
| | - Karl Michaëlsson
- Department of Surgical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Braxton D Mitchell
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.,Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, 21201, USA
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, OX3 7BN, UK.,Institute of Translational Medicine, University of Liverpool, Liverpool, L69 3BX, UK
| | - Leif Mosekilde
- Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, DK 8000, Denmark
| | - Anne Newman
- Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | | | - Jeffrey R O'Connell
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Ben A Oostra
- Department of Clinical Genetics, Erasmus MC, Rotterdam, 300 CA, The Netherlands.,Centre for Medical Systems Biology and Netherlands Consortium on Healthy Aging, Leiden, RC2300, The Netherlands
| | - Eric S Orwoll
- Oregon Health & Science University, Portland, OR, 97239, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland.,Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, FI00014, Finland
| | - Stephen C J Parker
- Human Genetics and Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Munro Peacock
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki, 00271, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland.,Diabetes and Obesity Research Program, University of Helsinki, Helsinki, FI00014, Finland.,Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Ozren Polasek
- Faculty of Medicine, Department of Public Health, University of Split, Split, 21000, Croatia
| | - Richard L Prince
- School of Medicine and Pharmacology, University of Western Australia, Perth, 6009, Australia.,Department of Endocrinology and Diabetes, Sir Charles Gardiner Hospital, Perth, 6009, Australia
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, FI00014, Finland
| | - Stuart H Ralston
- Molecular Medicine Centre, MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, Scotland, EH4 2XU, UK
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland.,Hjelt Institute, University of Helsinki, Helsinki, Finland.,Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK
| | - John A Robbins
- Department of Medicine, University of California at Davis, Sacramento, CA, 95817, USA
| | - Jerome I Rotter
- Institute for Translational Genomic and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor UCLA Medical Center, Torrance, CA, 90502, USA
| | - Igor Rudan
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, EH8 9AG, UK
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Suzanne Satterfield
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Eric E Schadt
- Department of Genetics and Genomic Science, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sabine Schipf
- Institute for Community Medicine, University of Greifswald, Greifswald, 17489, Germany
| | - Laura Scott
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Joban Sehmi
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Jian Shen
- Oregon Health & Science University, Portland, OR, 97239, USA
| | - Chan Soo Shin
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - Gunnar Sigurdsson
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland.,Department of Endocrinology and Metabolism, Landspitali, The National University Hospital of Iceland, Reykjavik, 101, Iceland
| | - Shad Smith
- Center for Translational Pain Medicine, Department of Anesthiology, Duke University Medical Center, Durham, NC, 27110, USA
| | - Nicole Soranzo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK
| | - Alena Stančáková
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Elisabeth Steinhagen-Thiessen
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, 13353, Germany
| | - Elizabeth A Streeten
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.,Geriatric Research and Education Clinical Center (GRECC) - Veterans Administration Medical Center, Baltimore, MD, 21201, USA
| | | | - Karin M A Swart
- Department of Epidemiology and Biostatistics, and the EMGO Institute, VU University Medical Center, Amsterdam, BT1081, The Netherlands
| | - Sian-Tsung Tan
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Mark A Tarnopolsky
- Department of Medicine, McMaster University Medical Center, Hamilton, ON, Canada, L8N 3Z5
| | - Patricia Thompson
- Department of Pathology, Stony Brook School of Medicine, Stony Brook, NY, 11794, USA
| | - Cynthia A Thomson
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, 85714, USA
| | - Unnur Thorsteinsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland.,deCODE Genetics, Reykjavik, 101, Iceland
| | - Emmi Tikkanen
- National Institute for Health and Welfare, Helsinki, 00271, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland.,Molecular Medicine Centre, MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, Scotland, EH4 2XU, UK
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, 94107, USA
| | - Jaakko Tuomilehto
- Vasa Central Hospital, Vasa, 65130, Finland.,Department of Neuroscience and Preventive Medicine, Danube-University Krems, Krems, 3500, Austria.,Diabetes Research Group, King Abdulaziz University, Jeddah, 12589, Saudi Arabia.,Dasman Diabetes Institute, Dasman, 15462, Kuwait
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, and the EMGO Institute, VU University Medical Center, Amsterdam, BT1081, The Netherlands
| | - Arjun Verma
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK
| | - Peter Vollenweider
- Department of Medicine and Internal Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, CH-1011, Switzerland
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, 17489, Germany
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, State University of New York, Buffalo, NY, 14214, USA
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Michael N Weedon
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX1 2LU, UK
| | - Ryan Welch
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - H-Erich Wichmann
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, 81377, Germany.,Institute of Medical Statistics and Epidemiology, Technical University, Munich, 81675, Germany
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, WC2R 2LS, UK
| | - James F Wilson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, EH8 9AG, UK.,MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh, Scotland, EH4 2XU, UK
| | - Nicole C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Weijia Xie
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX1 2LU, UK
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Yanhua Zhou
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - John C Chambers
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College, London, SW7 2AZ, UK.,Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,NIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College, London, SW3 6NP, UK.,Imperial College Healthcare NHS Trust, London, W2 1NY, UK
| | - Angela Döring
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands.,Centre for Medical Systems Biology and Netherlands Consortium on Healthy Aging, Leiden, RC2300, The Netherlands
| | - Michael J Econs
- Department of Medicine and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, 201, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | - Jaspal S Kooner
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK.,Imperial College Healthcare NHS Trust, London, W2 1NY, UK
| | - Bruce M Psaty
- Departments of Medicine, Epidemiology, and Health Services, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA.,Kaiser Permanente Washington Health Research Institute, Washington, Seattle, WA, 98101, USA
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, WC2R 2LS, UK
| | - Kari Stefansson
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland.,deCODE Genetics, Reykjavik, 101, Iceland
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK
| | - Vicky Ossowski
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ, 85014, USA
| | - Dawn Waterworth
- Medical Genetics, GlaxoSmithKline, Philadelphia, PA, 19112, USA
| | - Ruth J F Loos
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK.,The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Institute of Child Health and Development, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,The Genetics of Obesity and Related Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - David Karasik
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, 1311502, Israel
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute for Aging, Bethesda, MD, 20892, USA
| | - Claes Ohlsson
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Douglas P Kiel
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA. .,Harvard Medical School, Boston, MA, 02115, USA. .,Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA.
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Sapir-Koren R, Livshits G. Postmenopausal osteoporosis in rheumatoid arthritis: The estrogen deficiency-immune mechanisms link. Bone 2017; 103:102-115. [PMID: 28666971 DOI: 10.1016/j.bone.2017.06.020] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Revised: 06/13/2017] [Accepted: 06/26/2017] [Indexed: 12/20/2022]
Abstract
Rheumatoid arthritis (RA) is characterized, among other factors, by systemic bone loss, reaching ~50% prevalence of osteoporosis in postmenopausal women. This is roughly a doubled prevalence in comparison with age-matched non-RA women. Postmenopausal RA women are more likely to be sero-positive for the anti-citrullinated peptide antibody (ACPA). Our extensive review of recent scientific literature enabled us to propose several mechanisms as responsible for the accelerated bone loss in ACPA(+) RA postmenopausal women. Menopause-associated estrogen deficiency plays a major role in these pathological mechanisms, as follows.
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Affiliation(s)
- Rony Sapir-Koren
- Human Population Biology Research Group, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
| | - Gregory Livshits
- Human Population Biology Research Group, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel; Lilian and Marcel Pollak Chair of Biological Anthropology, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
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Zillikens MC, Demissie S, Hsu YH, Yerges-Armstrong LM, Chou WC, Stolk L, Livshits G, Broer L, Johnson T, Koller DL, Kutalik Z, Luan J, Malkin I, Ried JS, Smith AV, Thorleifsson G, Vandenput L, Hua Zhao J, Zhang W, Aghdassi A, Åkesson K, Amin N, Baier LJ, Barroso I, Bennett DA, Bertram L, Biffar R, Bochud M, Boehnke M, Borecki IB, Buchman AS, Byberg L, Campbell H, Campos Obanda N, Cauley JA, Cawthon PM, Cederberg H, Chen Z, Cho NH, Jin Choi H, Claussnitzer M, Collins F, Cummings SR, De Jager PL, Demuth I, Dhonukshe-Rutten RAM, Diatchenko L, Eiriksdottir G, Enneman AW, Erdos M, Eriksson JG, Eriksson J, Estrada K, Evans DS, Feitosa MF, Fu M, Garcia M, Gieger C, Girke T, Glazer NL, Grallert H, Grewal J, Han BG, Hanson RL, Hayward C, Hofman A, Hoffman EP, Homuth G, Hsueh WC, Hubal MJ, Hubbard A, Huffman KM, Husted LB, Illig T, Ingelsson E, Ittermann T, Jansson JO, Jordan JM, Jula A, Karlsson M, Khaw KT, Kilpeläinen TO, Klopp N, Kloth JSL, Koistinen HA, Kraus WE, Kritchevsky S, Kuulasmaa T, Kuusisto J, Laakso M, Lahti J, Lang T, Langdahl BL, Launer LJ, Lee JY, Lerch MM, Lewis JR, Lind L, Lindgren C, Liu Y, Liu T, Liu Y, Ljunggren Ö, Lorentzon M, Luben RN, Maixner W, McGuigan FE, Medina-Gomez C, Meitinger T, Melhus H, Mellström D, Melov S, Michaëlsson K, Mitchell BD, Morris AP, Mosekilde L, Newman A, Nielson CM, O'Connell JR, Oostra BA, Orwoll ES, Palotie A, Parker SCJ, Peacock M, Perola M, Peters A, Polasek O, Prince RL, Räikkönen K, Ralston SH, Ripatti S, Robbins JA, Rotter JI, Rudan I, Salomaa V, Satterfield S, Schadt EE, Schipf S, Scott L, Sehmi J, Shen J, Soo Shin C, Sigurdsson G, Smith S, Soranzo N, Stančáková A, Steinhagen-Thiessen E, Streeten EA, Styrkarsdottir U, Swart KMA, Tan ST, Tarnopolsky MA, Thompson P, Thomson CA, Thorsteinsdottir U, Tikkanen E, Tranah GJ, Tuomilehto J, van Schoor NM, Verma A, Vollenweider P, Völzke H, Wactawski-Wende J, Walker M, Weedon MN, Welch R, Wichmann HE, Widen E, Williams FMK, Wilson JF, Wright NC, Xie W, Yu L, Zhou Y, Chambers JC, Döring A, van Duijn CM, Econs MJ, Gudnason V, Kooner JS, Psaty BM, Spector TD, Stefansson K, Rivadeneira F, Uitterlinden AG, Wareham NJ, Ossowski V, Waterworth D, Loos RJF, Karasik D, Harris TB, Ohlsson C, Kiel DP. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat Commun 2017; 8:80. [PMID: 28724990 PMCID: PMC5517526 DOI: 10.1038/s41467-017-00031-7] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 05/02/2017] [Indexed: 12/25/2022] Open
Abstract
Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10−8) or suggestively genome wide (p < 2.3 × 10−6). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass. Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.
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Affiliation(s)
- M Carola Zillikens
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Yi-Hsiang Hsu
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA, 02115, USA
| | - Laura M Yerges-Armstrong
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Wen-Chi Chou
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Broad Institute, Cambridge, MA, 02142, USA
| | - Lisette Stolk
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands
| | - Gregory Livshits
- Sackler Faculty of Medicine, Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, 6997801, Israel.,Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, WC2R 2LS, UK
| | - Linda Broer
- Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Toby Johnson
- Department of Medical Genetics, University of Lausanne, Lausanne, 1011, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.,Centre Hospitalier Universitaire (CHUV), University Institute for Social and Preventive Medicine, Lausanne, 1010, Switzerland
| | - Daniel L Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Zoltán Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne, 1011, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.,Centre Hospitalier Universitaire (CHUV), University Institute for Social and Preventive Medicine, Lausanne, 1010, Switzerland
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK
| | - Ida Malkin
- Sackler Faculty of Medicine, Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Janina S Ried
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, 201, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | | | - Liesbeth Vandenput
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK
| | - Weihua Zhang
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College, London, SW7 2AZ, UK.,Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK
| | - Ali Aghdassi
- Department of Medicine A, University of Greifswald, Greifswald, 17489, Germany
| | - Kristina Åkesson
- Department of Clinical Sciences, Lund University, Malmö, 22362, Sweden.,Department of Orthopedics, Skåne University Hospital, Malmö, S-205 02, Sweden
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Leslie J Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ, 85014, USA
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK.,NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 OQQ, UK.,Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge Metabolic Research Laboratories, Cambridge, CB2 OQQ, UK
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Experimental & Integrative Genomics, University of Lübeck, Lübeck, 23562, Germany.,School of Public Health, Faculty of Medicine, Imperial College London, London, W6 8RP, UK
| | - Rainer Biffar
- Centre of Oral Health, Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University of Greifswald, Greifswald, 17489, Germany
| | - Murielle Bochud
- Centre Hospitalier Universitaire (CHUV), University Institute for Social and Preventive Medicine, Lausanne, 1010, Switzerland
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Ingrid B Borecki
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, 63110, USA.,Division of Biostatistics, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Aron S Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Liisa Byberg
- Department of Surgical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Harry Campbell
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, EH8 9AG, UK
| | | | - Jane A Cauley
- Department of Epidemiology Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, San Francisco, CA, 94107, USA
| | - Henna Cederberg
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Zhao Chen
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, 85714, USA
| | - Nam H Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Youngtong-Gu, Suwon, 16499, Korea
| | - Hyung Jin Choi
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea.,Department of Internal Medicine, Chungbuk National University Hospital, Cheongju Si, Korea
| | - Melina Claussnitzer
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Broad Institute, Cambridge, MA, 02142, USA.,Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, 02139, USA.,Institute of Human Genetics, MRI, Technische Universität München, Munich, 81675, Germany.,Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
| | - Francis Collins
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, MD, 20892, USA
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, 94107, USA
| | - Philip L De Jager
- Harvard Medical School, Boston, MA, 02115, USA.,Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Boston, MA, 02115, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, 02142, USA
| | - Ilja Demuth
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, 13353, Germany.,Institute of Medical and Human Genetics, Charité - Universitätsmedizin Berlin, Berlin, 13353, Germany
| | | | - Luda Diatchenko
- Alan Edwards Centre for Research on Pain, McGill University, Montreal, H3A 0G1, Canada.,Regional Center for Neurosensory Disorders, School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | | | - Anke W Enneman
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Mike Erdos
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, Bethesda, MD, 20892, USA
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, 00014, Finland.,Unit of General Practice, Helsinki University Central Hospital, Helsinki, 00014, Finland.,Folkhalsan Research Centre, Helsinki, 00250, Finland.,Vasa Central Hospital, Vasa, 65130, Finland.,National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Joel Eriksson
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Karol Estrada
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, 94107, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Mao Fu
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Melissa Garcia
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute for Aging, Bethesda, MD, 20892, USA
| | - Christian Gieger
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Thomas Girke
- Institute for Integrative Genome Biology, University of California, Riverside, CA, 92521, USA.,Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
| | - Nicole L Glazer
- Departments of Medicine and Epidemiology, Boston University School of Medicine and Public Health, Boston, MA, 02118, USA
| | - Harald Grallert
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,CCG Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, 85764, Germany.,CCG Nutrigenomics and Type 2 Diabetes. Helmholtz Zentrum München, Neuherberg, 85764, Germany
| | - Jagvir Grewal
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Bok-Ghee Han
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, 28159, Korea
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ, 85014, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh, Scotland, EH4 2XU, UK
| | - Albert Hofman
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Eric P Hoffman
- Department of Pharmaceutical Sciences, SUNY Binghamton, Binghamton, NY, 13902, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, 17487, Germany
| | - Wen-Chi Hsueh
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ, 85014, USA
| | - Monica J Hubal
- Department of Exercise and Nutrition Sciences, George Washington University, Washington, DC, 20052, USA.,Research Center for Genetic Medicine, Children's National Medical Center, Washington, DC, 20052, USA
| | - Alan Hubbard
- Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, 94720, USA
| | - Kim M Huffman
- Division of Rheumatology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Lise B Husted
- Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, DK 8000, Denmark
| | - Thomas Illig
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Department of Human Genetics, Hannover Medical School, Hannover, 30625, Germany.,Hannover Unified Biobank, Hannover Medical School, Hannover, 30625, Germany
| | - Erik Ingelsson
- Department of Medical Sciences, Uppsala University, Uppsala, 75185, Sweden.,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Till Ittermann
- Institute for Community Medicine, University of Greifswald, Greifswald, 17489, Germany
| | - John-Olov Jansson
- Department of Physiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE 405 30, Sweden
| | - Joanne M Jordan
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27517, USA
| | - Antti Jula
- National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Magnus Karlsson
- Department of Clinical Sciences and Orthopaedics, Lund University, Skåne University Hospital SUS, Malmö, 22362, Sweden
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Tuomas O Kilpeläinen
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK.,The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Copenhagen, 2100, Denmark.,Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Norman Klopp
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Hannover Unified Biobank, Hannover Medical School, Hannover, 30625, Germany
| | | | - Heikki A Koistinen
- Department of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, 00029, Finland.,Endocrinology, Abdominal Center, University of Helsinki and Helsinki University Central Hospital, Helsinki, 00029, Finland.,Department of Health, National Institute for Health and Welfare, Helsinki, 00271, Finland.,Minerva Foundation Institute for Medical Research, Helsinki, 00290, Finland
| | - William E Kraus
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Stephen Kritchevsky
- Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Teemu Kuulasmaa
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, FI00014, Finland
| | - Thomas Lang
- University of California San Francisco, San Francisco, CA, 94143, USA
| | - Bente L Langdahl
- Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, DK 8000, Denmark
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute for Aging, Bethesda, MD, 20892, USA
| | - Jong-Young Lee
- Center for Genome Science, National Institute of Health, Osong Health Technology Administration Complex, Chungcheongbuk-do, 28159, Korea
| | - Markus M Lerch
- Department of Medicine A, University of Greifswald, Greifswald, 17489, Germany
| | - Joshua R Lewis
- School of Medicine and Pharmacology, University of Western Australia, Perth, 6009, Australia.,Centre for Kidney Research, School of Public Health, University of Sydney, Sydney, 2006, Australia
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Cecilia Lindgren
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, OX3 7BN, UK
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, 27517, USA
| | - Tian Liu
- Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.,Max Planck Institute for Human Development, Berlin, 14195, Germany
| | - Youfang Liu
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27517, USA
| | - Östen Ljunggren
- Department of Medical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Mattias Lorentzon
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Robert N Luben
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB1 8RN, UK
| | - William Maixner
- Regional Center for Neurosensory Disorders, School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Fiona E McGuigan
- Department of Clinical Sciences, Lund University, Malmö, 22362, Sweden
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Thomas Meitinger
- Institute of Human Genetics, MRI, Technische Universität München, Munich, 81675, Germany.,Institute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Håkan Melhus
- Department of Medical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Dan Mellström
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Simon Melov
- Buck Institute for Research on Aging, Novato, CA, 94945, USA.,Leonard Davis School of Gerontology, University of Southern California, LA, CA, 90089, USA
| | - Karl Michaëlsson
- Department of Surgical Sciences, Uppsala University, Uppsala, 75185, Sweden
| | - Braxton D Mitchell
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.,Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, 21201, USA
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, OX3 7BN, UK.,Institute of Translational Medicine, University of Liverpool, Liverpool, L69 3BX, UK
| | - Leif Mosekilde
- Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, DK 8000, Denmark
| | - Anne Newman
- Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | | | - Jeffrey R O'Connell
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Ben A Oostra
- Department of Clinical Genetics, Erasmus MC, Rotterdam, 300 CA, The Netherlands.,Centre for Medical Systems Biology and Netherlands Consortium on Healthy Aging, Leiden, RC2300, The Netherlands
| | - Eric S Orwoll
- Oregon Health & Science University, Portland, OR, 97239, USA
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland.,Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, FI00014, Finland
| | - Stephen C J Parker
- Human Genetics and Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Munro Peacock
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki, 00271, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland.,Diabetes and Obesity Research Program, University of Helsinki, Helsinki, FI00014, Finland.,Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Ozren Polasek
- Faculty of Medicine, Department of Public Health, University of Split, Split, 21000, Croatia
| | - Richard L Prince
- School of Medicine and Pharmacology, University of Western Australia, Perth, 6009, Australia.,Department of Endocrinology and Diabetes, Sir Charles Gardiner Hospital, Perth, 6009, Australia
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, FI00014, Finland
| | - Stuart H Ralston
- Molecular Medicine Centre, MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, Scotland, EH4 2XU, UK
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland.,Hjelt Institute, University of Helsinki, Helsinki, Finland.,Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK
| | - John A Robbins
- Department of Medicine, University of California at Davis, Sacramento, CA, 95817, USA
| | - Jerome I Rotter
- Institute for Translational Genomic and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor UCLA Medical Center, Torrance, CA, 90502, USA
| | - Igor Rudan
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, EH8 9AG, UK
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Suzanne Satterfield
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Eric E Schadt
- Department of Genetics and Genomic Science, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sabine Schipf
- Institute for Community Medicine, University of Greifswald, Greifswald, 17489, Germany
| | - Laura Scott
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Joban Sehmi
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Jian Shen
- Oregon Health & Science University, Portland, OR, 97239, USA
| | - Chan Soo Shin
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - Gunnar Sigurdsson
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland.,Department of Endocrinology and Metabolism, Landspitali, The National University Hospital of Iceland, Reykjavik, 101, Iceland
| | - Shad Smith
- Center for Translational Pain Medicine, Department of Anesthiology, Duke University Medical Center, Durham, NC, 27110, USA
| | - Nicole Soranzo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK
| | - Alena Stančáková
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, 70210, Finland
| | - Elisabeth Steinhagen-Thiessen
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, 13353, Germany
| | - Elizabeth A Streeten
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.,Geriatric Research and Education Clinical Center (GRECC) - Veterans Administration Medical Center, Baltimore, MD, 21201, USA
| | | | - Karin M A Swart
- Department of Epidemiology and Biostatistics, and the EMGO Institute, VU University Medical Center, Amsterdam, BT1081, The Netherlands
| | - Sian-Tsung Tan
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK
| | - Mark A Tarnopolsky
- Department of Medicine, McMaster University Medical Center, Hamilton, ON, Canada, L8N 3Z5
| | - Patricia Thompson
- Department of Pathology, Stony Brook School of Medicine, Stony Brook, NY, 11794, USA
| | - Cynthia A Thomson
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, 85714, USA
| | - Unnur Thorsteinsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland.,deCODE Genetics, Reykjavik, 101, Iceland
| | - Emmi Tikkanen
- National Institute for Health and Welfare, Helsinki, 00271, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland.,Molecular Medicine Centre, MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, Scotland, EH4 2XU, UK
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, 94107, USA
| | - Jaakko Tuomilehto
- Vasa Central Hospital, Vasa, 65130, Finland.,Department of Neuroscience and Preventive Medicine, Danube-University Krems, Krems, 3500, Austria.,Diabetes Research Group, King Abdulaziz University, Jeddah, 12589, Saudi Arabia.,Dasman Diabetes Institute, Dasman, 15462, Kuwait
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, and the EMGO Institute, VU University Medical Center, Amsterdam, BT1081, The Netherlands
| | - Arjun Verma
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK
| | - Peter Vollenweider
- Department of Medicine and Internal Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, CH-1011, Switzerland
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, 17489, Germany
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, State University of New York, Buffalo, NY, 14214, USA
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Michael N Weedon
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX1 2LU, UK
| | - Ryan Welch
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - H-Erich Wichmann
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, 81377, Germany.,Institute of Medical Statistics and Epidemiology, Technical University, Munich, 81675, Germany
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, 00251, Finland
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, WC2R 2LS, UK
| | - James F Wilson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, EH8 9AG, UK.,MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh, Scotland, EH4 2XU, UK
| | - Nicole C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Weijia Xie
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, EX1 2LU, UK
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Yanhua Zhou
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - John C Chambers
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College, London, SW7 2AZ, UK.,Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,NIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College, London, SW3 6NP, UK.,Imperial College Healthcare NHS Trust, London, W2 1NY, UK
| | - Angela Döring
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany.,Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, 85764, Germany
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands.,Centre for Medical Systems Biology and Netherlands Consortium on Healthy Aging, Leiden, RC2300, The Netherlands
| | - Michael J Econs
- Department of Medicine and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, 201, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | - Jaspal S Kooner
- Cardiology Department, Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.,National Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK.,Imperial College Healthcare NHS Trust, London, W2 1NY, UK
| | - Bruce M Psaty
- Departments of Medicine, Epidemiology, and Health Services, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA.,Kaiser Permanente Washington Health Research Institute, Washington, Seattle, WA, 98101, USA
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, WC2R 2LS, UK
| | - Kari Stefansson
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland.,deCODE Genetics, Reykjavik, 101, Iceland
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, Rotterdam, 3000, The Netherlands.,Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, 2593, The Netherlands.,Department of Epidemiology, Erasmus MC, Rotterdam, 3000, The Netherlands
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK
| | - Vicky Ossowski
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Phoenix, AZ, 85014, USA
| | - Dawn Waterworth
- Medical Genetics, GlaxoSmithKline, Philadelphia, PA, 19112, USA
| | - Ruth J F Loos
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 OQQ, UK.,The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Institute of Child Health and Development, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,The Genetics of Obesity and Related Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - David Karasik
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA.,Harvard Medical School, Boston, MA, 02115, USA.,Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, 1311502, Israel
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute for Aging, Bethesda, MD, 20892, USA
| | - Claes Ohlsson
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SE-405 30, Sweden
| | - Douglas P Kiel
- Hebrew SeniorLife, Institute for Aging Research, Roslindale, MA, 02131, USA. .,Harvard Medical School, Boston, MA, 02115, USA. .,Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA.
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Prakash J, Gabdulina G, Trofimov S, Livshits G. Quantitative genetics of circulating Hyaluronic Acid (HA) and its correlation with hand osteoarthritis and obesity-related phenotypes in a community-based sample. Ann Hum Biol 2017; 44:522-530. [PMID: 28535729 DOI: 10.1080/03014460.2017.1334822] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND One of the potential molecular biomarkers of osteoarthritis (OA) is hyaluronic acid (HA). HA levels may be related to the severity and progression of OA. However, little is known about the contribution of major risk factors for osteoarthritis, e.g. obesity-related phenotypes and genetics to HA variation. AIM To clarify the quantitative effect of these factors on HA. SUBJECTS AND METHODS An ethnically homogeneous sample of 911 apparently healthy European-derived individuals, assessed for radiographic hand osteoarthritis (RHOA), HA, leptin, adiponectin, and several anthropometrical measures of obesity-related phenotypes was studied. Model-based quantitative genetic analysis was used to reveal genetic and shared environmental factors affecting the variation of the study's phenotypes. RESULTS The HA levels significantly correlated with the age, RHOA, adiponectin, obesity-related phenotypes, and the waist-to-hip ratio. The putative genetic effects contributed significantly to the variation of HA (66.2 ± 9.3%) and they were also significant factors in the variations of all the other studied phenotypes, with the heritability estimate ranging between 0.122 ± 4.4% (WHR) and 45.7 ± 2.2% (joint space narrowing). CONCLUSIONS This is the first study to report heritability estimates of HA variation and its correlation with obesity-related phenotypes, ADP and RHOA. However, the nature of genetic effects on HA and its correlation with other study phenotypes require further clarification.
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Affiliation(s)
- Jai Prakash
- a Human Population Biology Research Unit, Department of Anatomy and Anthropology , Tel Aviv University , Tel Aviv , Israel
| | - Gulzhan Gabdulina
- b Department of Internal Medicine , Asfendiyarov Kazakh National Medical University , Almigty , Kazakhstan
| | - Svetlana Trofimov
- a Human Population Biology Research Unit, Department of Anatomy and Anthropology , Tel Aviv University , Tel Aviv , Israel
| | - Gregory Livshits
- a Human Population Biology Research Unit, Department of Anatomy and Anthropology , Tel Aviv University , Tel Aviv , Israel.,c Lilian and Marcel Pollak Chair of Biological Anthropology, Sackler Faculty of Medicine , Tel Aviv University , Tel Aviv , Israel
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Ghosh S, Dosaev T, Prakash J, Livshits G. Quantitative genetic analysis of the body composition and blood pressure association in two ethnically diverse populations. Am J Phys Anthropol 2017; 162:701-714. [DOI: 10.1002/ajpa.23161] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Revised: 12/08/2016] [Accepted: 12/15/2016] [Indexed: 11/06/2022]
Affiliation(s)
- Sudipta Ghosh
- Department of Anthropology; North-Eastern Hill University; Shillong Meghalaya 793022 India
| | - Tasbulat Dosaev
- Department of Anatomy; Asfendiyarov Kazakh National Medical University; Almaty Kazakhstan
| | - Jai Prakash
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine; Tel-Aviv University; Tel Aviv Israel
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine; Tel-Aviv University; Tel Aviv Israel
- Lilian and Marcel Pollak Chair of Biological Anthropology, Sackler Faculty of Medicine; Tel Aviv University; Tel Aviv Israel
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Burri A, Marinova Z, Robinson MD, Kühnel B, Waldenberger M, Wahl S, Kunze S, Gieger C, Livshits G, Williams F. Are Epigenetic Factors Implicated in Chronic Widespread Pain? PLoS One 2016; 11:e0165548. [PMID: 27832094 PMCID: PMC5104434 DOI: 10.1371/journal.pone.0165548] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2016] [Accepted: 10/13/2016] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Chronic widespread musculoskeletal pain (CWP) is the cardinal symptom of fibromyalgia and affects about 12% of the general population. Familial aggregation of CWP has been repeatedly demonstrated with estimated heritabilities of around 50%, indicating a genetic susceptibility. The objective of the study was to explore genome-wide disease-differentially methylated positions (DMPs) for chronic widespread pain (CWP) in a sample of unrelated individuals and a subsample of discordant monozygotic (MZ) twins. METHODOLOGY/PRINCIPLE FINDINGS A total of N = 281 twin individuals from the TwinsUK registry, including N = 33 MZ twins discordant for self-reported CWP, were part of the discovery sample. The replication sample included 729 men and 756 women from a subsample of the KORA S4 survey-an independent population-based cohort from Southern Germany. Epigenome-wide analysis of DNA methylation was conducted using the Illumina Infinium HumanMethylation 450 DNA BeadChip in both the discovery and replication sample. Of our 40 main loci that were carried forward for replication, three CPGs reached significant p-values in the replication sample, including malate dehydrogenase 2 (MDH2; p-value 0.017), tetranectin (CLEC3B; p-value 0.039), and heat shock protein beta-6 (HSPB6; p-value 0.016). The associations between the collagen type I, alpha 2 chain (COL1A2) and monoamine oxidase B (MAOB) observed in the discovery sample-both of which have been previously reported to be biological candidates for pain-could not be replicated. CONCLUSION/SIGNIFICANCE Our results may serve as a starting point to encourage further investigation in large and independent population-based cohorts of DNA methylation and other epigenetic changes as possible disease mechanisms in CWP. Ultimately, understanding the key mechanisms underlying CWP may lead to new treatments and inform clinical practice.
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Affiliation(s)
- Andrea Burri
- Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand
- Waitemata Pain Service, Department of Anaesthesia and Perioperative Medicine, North Shore Hospital, Auckland, New Zealand
- Department of Psychology, University of Zurich, Binzmühlestrasse 14, 8050 Zurich, Switzerland
- * E-mail:
| | - Zoya Marinova
- Department of Psychosomatic Medicine, Clinic Barmelweid, Barmelweid 5017, Switzerland
| | - Mark D. Robinson
- SIB Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland
- Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany
| | - Simone Wahl
- Research Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany
| | - Sonja Kunze
- Research Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, Munich, Germany
| | - Gregory Livshits
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Twin Research and Genetic Epidemiology, King’s College London, St.Thomas´ Hospital, Westminster Bridge Road SE1 7EH, London, United Kingdom
| | - Frances Williams
- Department of Twin Research and Genetic Epidemiology, King’s College London, St.Thomas´ Hospital, Westminster Bridge Road SE1 7EH, London, United Kingdom
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Sapir-Koren R, Livshits G. Rheumatoid arthritis onset in postmenopausal women: Does the ACPA seropositive subset result from genetic effects, estrogen deficiency, skewed profile of CD4(+) T-cells, and their interactions? Mol Cell Endocrinol 2016; 431:145-63. [PMID: 27178986 DOI: 10.1016/j.mce.2016.05.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Revised: 05/04/2016] [Accepted: 05/09/2016] [Indexed: 12/28/2022]
Abstract
Rheumatoid arthritis (RA) incidence displays a differentiated age-dependent female-to-male ratio in which women outnumber men. Evidence that the peak incidence of RA in women coincides with menopause age, suggests a potential estrogenic role to disease etiology. Estrogens exert physiologically both stimulatory and inhibitory effects on the immune system. Epidemiologic and animal model studies with estrogen deprivation or supplementation suggested estrogens as to play, mainly, a protective role in RA immunopathology. In this review, we propose that some yet unidentified disturbances associated with estrogen circulating levels, differentiated by the menopausal status, play a major role in women's RA susceptibility. We focus on the interaction between estrogen deprivation and genetic risk alleles for anti-citrullinated protein antibodies (ACPA) seropositive RA, as a major driving force for increased immune reactivity and RA susceptibility, in postmenopausal women. This opens up new fields for research concerning the association among different irregular estrogenic conditions, the cytokine milieu, and age/menopausal status bias in RA.
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Affiliation(s)
- Rony Sapir-Koren
- Human Population Biology Research Group, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Gregory Livshits
- Human Population Biology Research Group, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel; Lilian and Marcel Pollak Chair of Biological Anthropology, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
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Livshits G, Gao F, Malkin I, Needhamsen M, Xia Y, Yuan W, Bell CG, Ward K, Liu Y, Wang J, Bell JT, Spector TD. Contribution of Heritability and Epigenetic Factors to Skeletal Muscle Mass Variation in United Kingdom Twins. J Clin Endocrinol Metab 2016; 101:2450-9. [PMID: 27144936 PMCID: PMC4891794 DOI: 10.1210/jc.2016-1219] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
CONTEXT Skeletal muscle mass (SMM) is one of the major components of human body composition, with deviations from normal values often leading to sarcopenia. OBJECTIVE Our major aim was to conduct a genome-wide DNA methylation study in an attempt to identify potential genomic regions associated with SMM. DESIGN This was a mixed cross-sectional and longitudinal study. SETTING Community-based study. PARTICIPANTS A total of 1550 middle-aged United Kingdom twins (monozygotic [MZ] and dizygotic [DZ]), 297 of which were repeatedly measured participated in the study. MAIN OUTCOME MEASURE Appendicular lean mass assessed using dual-energy X-ray absorptiometry technology, and methylated DNA immunoprecipitation sequencing DNA methylation profiling genome-wide were obtained from each individual. RESULTS Heritability estimate of SMM, with simultaneous adjustment for covariates obtained using variance decomposition analysis, was h(2) = 0.809 ± 0.050. After quality control and analysis of longitudinal stability, the DNA methylation data comprised of 723 029 genomic sites, with positive correlations between repeated measurements (Rrepeated = 0.114-0.905). Correlations between MZ and DZ twins were 0.51 and 0.38 at a genome-wide average, respectively, and clearly increased with Rrepeated. Testing for DNA methylation association with SMM in 50 discordant MZ twins revealed 36 081 nominally significant results, of which the top-ranked 134 signals (P < .01 and Rrepeated > 0.40) were subjected to replication in the sample of 1196 individuals. Seven SMM methylation association signals replicated at a false discovery rate less than 0.1, and these were located in or near genes DNAH12, CAND1, CYP4F29P, and ZFP64, which have previously been highlighted in muscle-related studies. Adjusting for age, smoking, and blood cell heterogeneity did not alter significance of these associations. CONCLUSION This epigenome-wide study, testing longitudinally stable methylation sites, discovered and replicated a number of associations between DNA methylation at CpG loci and SMM. Four replicated signals were related to genes with potential muscle functions, suggesting that the methylome of whole blood may be informative of SMM variation.
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Prakash J, Williams FMK, Trofimov S, Surdulescu G, Spector T, Livshits G. Quantitative genetics of circulating Dickkopf-related protein 1 (DKK1) in community-based sample of UK twins. Osteoporos Int 2016; 27:2065-75. [PMID: 26762129 DOI: 10.1007/s00198-016-3486-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 01/05/2016] [Indexed: 12/19/2022]
Abstract
UNLABELLED Dickkopf-related protein 1 (DKK1) is a major inhibitor of Wnt signalling pathway but also plays an important role in bone formation. Its circulating levels appear to correlate significantly with plasma levels of inflammatory factors, fractalkine and IL-6. This study, using a large sample of UK twins, showed that the variation of each of these factors and correlation between them was explained by the genetic factors, and indicated possible association with DKK1 gene variants. INTRODUCTION DKK1 is involved in the development of several inflammatory conditions related to bone and joint degradation. Our objectives were to explore the genetic contribution (heritability) to circulating DKK1 variation and its correlation with other inflammatory cytokines, interleukin 6 (IL-6) and fractalkine, and to test whether the DKK1 heritability could be attributable to single nucleotide polymorphisms (SNPs) mapped to DKK1, IL-6 and FRCT genes. METHODS The study included a large community-based sample of 4939 women drawn from the general UK population. Plasma samples were analysed for circulating levels of DKK1, IL-6 and fractalkine (FRCT); 65 SNPs of DKK1, IL-6 and FRCT candidate genes, with MAF >0.1, were examined. We applied variance component analysis to evaluate contribution of putative genetic (including above SNPs) and environmental factors to variation of DKK1, and its correlation with IL-6 and FRCT. RESULTS Putative genetic factors explained 42.2 ± 2 % of the total variation of circulating DKK1 levels, and were also significant for fractalkine and IL-6 variations. Most importantly, we report significant phenotypic (0.208 ± 0.006-0.459 ± 0.007) and genetic (0.338 ± 0.069-0.617 ± 0.033) correlations between these molecules. We found evidence suggestive of association between the DKK1 and its structural genes variants. CONCLUSIONS Circulating DKK1 levels correlated significantly with levels of IL-6 and FRCT, known risk factors for several inflammatory processes suggesting a potential role of DKK1 in inflammation and tissue injury. Our results suggest the contribution of genetic factors in inter-individual variation of DKK1 levels in human population. However, further studies are required to determine genetic polymorphisms affecting DKK1 variation and its correlation with IL-6 and FRCT.
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Affiliation(s)
- J Prakash
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 69978, Israel
| | - F M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, Strand, London, UK
| | - S Trofimov
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 69978, Israel
| | - G Surdulescu
- Department of Twin Research and Genetic Epidemiology, King's College London, Strand, London, UK
| | - T Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, Strand, London, UK
| | - G Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 69978, Israel.
- Department of Twin Research and Genetic Epidemiology, King's College London, Strand, London, UK.
- Lilian and Marcel Pollak Chair of Biological Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
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Burri A, Ogata S, Livshits G, Williams F. The Association between Chronic Widespread Musculoskeletal Pain, Depression and Fatigue Is Genetically Mediated. PLoS One 2015; 10:e0140289. [PMID: 26599910 PMCID: PMC4657992 DOI: 10.1371/journal.pone.0140289] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 09/23/2015] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Chronic widespread muscoloskeletal pain (CWP) is prevalent in the general population and associated with high health care costs, so understanding the risk factors for chronic pain is important for both those affected and for society. In the present study we investigated the underlying etiological structure of CWP to understand better the association between the major clinical features of fatigue, depression and dihydroepiandrosterone sulphate (DHEAS) using a multivariate twin design. METHODOLOGY/PRINCIPLE FINDINGS Data were available in 463 UK female twin pairs including CWP status and information on depression, chronic fatigue and serum DHEAS levels. High to moderate heritabilities for all phenotypes were obtained (42.58% to 74.24%). The highest phenotypic correlation was observed between fatigue and CWP (r = 0.45), and the highest genetic correlation between CWP and fatigue (rg = 0.78). Structural equation modeling revealed the AE Cholesky model to provide the best model of the observed data. In this model, two additive genetic factors could be detected loading heavily on CWP-A2 explaining 40% of the variance and A3 20%. The factor loading heaviest on DHEAS showed only a small loading on the other phenotypes and none on fatigue at all. Furthermore, one distinct non-shared environmental factor loading specifically on CWP-but not on any of the other phenotypes-could be detected suggesting that the association between CWP and the other phenotypes is due only to genetic factors. CONCLUSIONS/SIGNIFICANCE Our results suggest that CWP and its associated features share a genetic predisposition but that they are relatively distinct in their environmental determinants.
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Affiliation(s)
- Andrea Burri
- Department of Twin Research and Genetic Epidemiology, King’s College London, St. Thomas´ Hospital, London, United Kingdom
- Department of Psychology, University of Zurich, Binzmühlestrasse 14, 8050, Zurich, Switzerland
| | - Soshiro Ogata
- Department of Health Promotion Science, Osaka University Graduate School of Medicine, Suita, 565–087, Osaka, Japan
| | - Gregory Livshits
- Department of Twin Research and Genetic Epidemiology, King’s College London, St. Thomas´ Hospital, London, United Kingdom
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Frances Williams
- Department of Twin Research and Genetic Epidemiology, King’s College London, St. Thomas´ Hospital, London, United Kingdom
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Kalinkovich A, Livshits G. Sarcopenia--The search for emerging biomarkers. Ageing Res Rev 2015; 22:58-71. [PMID: 25962896 DOI: 10.1016/j.arr.2015.05.001] [Citation(s) in RCA: 122] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2015] [Revised: 05/06/2015] [Accepted: 05/06/2015] [Indexed: 12/12/2022]
Abstract
Sarcopenia, an age-related decline in skeletal muscle mass and function, dramatically affects the life quality of elder people. In view of increasing life expectancy, sarcopenia renders a heavy burden on the health care system. However, although there is a consensus that sarcopenia is a multifactorial syndrome, its etiology, underlying mechanisms, and even definition remain poorly delineated, thus, preventing development of a precise treatment strategy. The main aim of our review is to critically analyze potential sarcopenia biomarkers in light of the molecular mechanisms of their involvement in sarcopenia pathogenesis. Normal muscle mass and function maintenance are proposed to be dependent on the dynamic balance between the positive regulators of muscle growth such as bone morphogenetic proteins (BMPs), brain-derived neurotrophic factor (BDNF), follistatin (FST) and irisin, and negative regulators including TGFβ, myostatin, activins A and B, and growth and differentiation factor-15 (GDF-15). We hypothesize that the shift in this balance to muscle growth inhibitors, along with increased expression of the C- terminal agrin fragment (CAF) associated with age-dependent neuromuscular junction (NMJ) dysfunction, as well as skeletal muscle-specific troponin T (sTnT), a key component of contractile machinery, is a main mechanism underlying sarcopenia pathogenesis. Thus, this review proposes and emphasizes that these molecules are the emerging sarcopenia biomarkers.
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Korostishevsky M, Steves CJ, Malkin I, Spector T, Williams FMK, Livshits G. Genomics and metabolomics of muscular mass in a community-based sample of UK females. Eur J Hum Genet 2015; 24:277-83. [PMID: 25898920 DOI: 10.1038/ejhg.2015.85] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Revised: 03/08/2015] [Accepted: 03/26/2015] [Indexed: 12/18/2022] Open
Abstract
The contribution of specific molecular-genetic factors to muscle mass variation and sarcopenia remains largely unknown. To identify endogenous molecules and specific genetic factors associated with appendicular lean mass (APLM) in the general population, cross-sectional data from the TwinsUK Adult Twin Registry were used. Non-targeted mass spec-based metabolomic profiling was performed on plasma of 3953 females (mostly dizygotic and monozygotic twins). APLM was measured using dual-energy X-ray absorptiometry (DXA) and genotyping was genome-wide (GWAS). Specific metabolites were used as intermediate phenotypes in the identification of single-nucleotide polymorphisms associated with APLM using GWAS. In all, 162 metabolites were found significantly correlated with APLM, and explained 17.4% of its variation. However, the top three of them (unidentified substance X12063, urate, and mannose) explained 11.1% (P ≤ 9.25 × 10(-26)) so each was subjected to GWAS. Each metabolite showed highly significant (P ≤ 9.28 × 10(-46)) associations with genetic variants in the corresponding genomic regions. Mendelian randomization using these SNPs found no evidence for a direct causal effect of these metabolites on APLM. However, using a new software platform for bivariate analysis we showed that shared genetic factors contribute significantly (P ≤ 4.31 × 10(-43)) to variance in both the metabolites and APLM--independent of the effect of the associated SNPs. There are several metabolites, having a clear pattern of genetic inheritance, which are highly significantly associated with APLM and may provide a cheap and readily accessible biomarker of muscle mass. However, the mechanism by which the genetic factor influences muscle mass remains to be discovered.
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Affiliation(s)
- Michael Korostishevsky
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Claire J Steves
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Ida Malkin
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Timothy Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
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German A, Livshits G, Peter I, Malkin I, Dubnov J, Akons H, Shmoish M, Hochberg Z. Environmental rather than genetic factors determine the variation in the age of the infancy to childhood transition: a twins study. J Pediatr 2015; 166:731-5. [PMID: 25578994 DOI: 10.1016/j.jpeds.2014.11.047] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Revised: 10/07/2014] [Accepted: 11/20/2014] [Indexed: 01/29/2023]
Abstract
OBJECTIVE Using a twins study, we sought to assess the contribution of genetic against environmental factor as they affect the age at transition from infancy to childhood (ICT). STUDY DESIGN The subjects were 56 pairs of monozygotic twins, 106 pairs of dizygotic twins, and 106 pairs of regular siblings (SBs), for a total of 536 children. Their ICT was determined, and a variance component analysis was implemented to estimate components of the familial variance, with simultaneous adjustment for potential covariates. RESULTS We found substantial contribution of the common environment shared by all types of SBs that explained 27.7% of the total variance in ICT, whereas the common twin environment explained 9.2% of the variance, gestational age 3.5%, and birth weight 1.8%. In addition, 8.7% was attributable to sex difference, but we found no detectable contribution of genetic factors to inter-individual variation in ICT age. CONCLUSIONS Developmental plasticity impacts much of human growth. Here we show that of the ∼50% of the variance provided to adult height by the ICT, 42.2% is attributable to adaptive cues represented by shared twin and SB environment, with no detectable genetic involvement.
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Affiliation(s)
- Alina German
- Department of Pediatrics, Bnai Zion Medical Center, Haifa, Israel.
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Inga Peter
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Ida Malkin
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jonathan Dubnov
- Haifa District Health Office, Ministry of Health, School of Public Health, Haifa University, Haifa, Israel
| | - Hannah Akons
- Haifa District Health Office, Ministry of Health, Haifa, Israel
| | - Michael Shmoish
- The Lorry I. Lokey Interdisciplinary Center for Life Sciences and Engineering, Technion - Israel Institute of Technology, Haifa, Israel
| | - Ze'ev Hochberg
- Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
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Bachar A, Hermoni D, Livshits G, Birk R. Late successful weight reduction and maintenance among overweight and obese adults--a two-year retrospective study. Diabetes Res Clin Pract 2014; 106:511-21. [PMID: 25458338 DOI: 10.1016/j.diabres.2014.09.055] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2014] [Revised: 07/27/2014] [Accepted: 09/14/2014] [Indexed: 10/24/2022]
Abstract
AIMS Our purpose was to identify those factors associated with successful late weight reduction and maintenance among overweight and obese adults who failed to achieve initial weight reduction success. METHODS Medical computerized files of 5254 participants, who failed to achieve ≥ 5% weight reduction after an initial 6-month period, were retrospectively analyzed to identify predictors associated with late successful weight reduction and maintenance (≥ 5% during the first and second years, respectively). Over 40 independent variables were analyzed. The main outcome was the percentage of weight change. RESULTS Significant predictors of late success in weight reduction were as follows: more visits to a dietitian, higher baseline BMI, and any initial weight reduction (0-5%) (OR=3.69, compared with participants who initially gained weight). The use of insulin (OR=0.499) and the presence of hypertension (OR=0.75) were significantly correlated with failure to reduce weight. Predictors of late maintenance were as follows: more visits to a dietitian, higher baseline BMI, any initial weight reduction, a younger age, not being treated with insulin (OR=0.316), and more weighings (OR=1.68). CONCLUSIONS A substantial sub-group of obese and overweight patients was able to reduce their weight at a slower rate than the defined successful time of 6 months. Significant specific predictors were identified. Diabetic and hypertensive patients are at a significantly higher risk of failure to reduce and maintain weight. Using regression models, we calculated the probability of successful late weight reduction. This calculation could serve as a clinical tool for a professional team.
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Affiliation(s)
- A Bachar
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, Israel; Sharon-Shomron District, Clalit Health Services, Netanya, Israel
| | - D Hermoni
- Department of Family Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Sharon-Shomron District, Clalit Health Services, Netanya, Israel.
| | - G Livshits
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, Israel
| | - R Birk
- Department of Nutrition, Faculty of Health Science, Ariel University, Ariel, Israel.
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Sapir-Koren R, Livshits G. Osteocyte control of bone remodeling: is sclerostin a key molecular coordinator of the balanced bone resorption-formation cycles? Osteoporos Int 2014; 25:2685-700. [PMID: 25030653 DOI: 10.1007/s00198-014-2808-0] [Citation(s) in RCA: 117] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2013] [Accepted: 07/02/2014] [Indexed: 12/22/2022]
Abstract
Osteocytes, entrapped within a newly mineralized bone matrix, possess a unique cellular identity due to a specialized morphology and a molecular signature. These features endow them to serve as a bone response mechanism for mechanical stress in their microenvironment. Sclerostin, a primarily osteocyte product, is widely considered as a mechanotranduction key molecule whose expression is suppressed by mechanical loading, or it is induced by unloading. This review presents a model suggesting that sclerostin is major mediator for integrating mechanical, local, and hormonal signals, sensed by the osteocytes, in controlling the remodeling apparatus. This central role is achieved through interplay between two opposing mechanisms: (1) unloading-induced high sclerostin levels, which antagonize Wnt-canonical-β-catenin signaling in osteocytes and osteoblasts, permitting simultaneously Wnt-noncanonical and/or other pathways in osteocytes and osteoclasts, directed at bone resorption; (2) mechanical loading results in low sclerostin levels, activation of Wnt-canonical signaling, and bone formation. Therefore, adaptive bone remodeling occurring at a distinct bone compartment is orchestrated by altered sclerostin levels, which regulate the expression of the other osteocyte-specific proteins, such as RANKL, OPG, and proteins encoded by "mineralization-related genes" (DMP1, PHEX, and probably FGF23). For example, under specific terms, sclerostin regulates differential RANKL and OPG production, and creates a dynamic RANKL/OPG ratio, leading either to bone formation or resorption. It also controls the expression of PHEX, DMP1, and most likely FGF23, leading to either bone matrix mineralization or its inhibition. Such opposing up- or down-regulation of remodeling phases allows osteocytes to function as an "external unit", ensuring transition from bone resorption to bone formation.Mini Abstract: The osteocyte network plays a central role in directing bone response either to mechanical loading, or to unloading, leading correspondingly to bone formation or resorption. This review shows a key role of the osteocyte-produced sclerostin as a major mediator of the molecular mechanisms involved in the process of adaptive bone remodeling.
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Affiliation(s)
- R Sapir-Koren
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, 69978, Israel
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Sapir-Koren R, Livshits G. Bone mineralization is regulated by signaling cross talk between molecular factors of local and systemic origin: the role of fibroblast growth factor 23. Biofactors 2014; 40:555-68. [PMID: 25352227 DOI: 10.1002/biof.1186] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2014] [Accepted: 10/06/2014] [Indexed: 01/07/2023]
Abstract
Body phosphate homeostasis is regulated by a hormonal counter-balanced intestine-bone-kidney axis. The major systemic hormones involved in this axis are parathyroid hormone (PTH), 1,25-dihydroxyvitamin-D, and fibroblast growth factor-23 (FGF23). FGF23, produced almost exclusively by the osteocytes, is a phosphaturic hormone that plays a major role in regulation of the bone remodeling process. Remodeling composite components, bone mineralization and resorption cycles create a continuous influx-efflux loop of the inorganic phosphate (Pi) through the skeleton. This "bone Pi loop," which is formed, is controlled by local and systemic factors according to phosphate homeostasis demands. Although FGF23 systemic actions in the kidney, and for the production of PTH and 1,25-dihydroxyvitamin-D are well established, its direct involvement in bone metabolism is currently poorly understood. This review presents the latest available evidence suggesting two aspects of FGF23 bone local activity: (a) Regulation of FGF23 production by both local and systemic factors. The suggested local factors include extracellular levels of Pi and pyrophosphate (PPi), (the Pi/PPi ratio), and another osteocyte-derived protein, sclerostin. In addition, 1,25-dihydroxyvitamin-D, synthesized locally by bone cells, may contribute to regulation of FGF23 production. The systemic control is achieved via PTH and 1,25-dihydroxyvitamin-D endocrine functions. (b) FGF23 acts as a local agent, directly affecting bone mineralization. We support the assumption that under balanced physiological conditions, sclerostin, by para- autocrine signaling, upregulates FGF23 production by the osteocyte. FGF23, in turn, acts as a mineralization inhibitor, by stimulating the generation of the major mineralization antagonist-PPi.
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Affiliation(s)
- Rony Sapir-Koren
- Human Population Biology Research Unit, Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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Blumenfeld O, Williams FM, Valdes A, Hart DJ, Malkin I, Spector TD, Livshits G. Association of interleukin-6 gene polymorphisms with hand osteoarthritis and hand osteoporosis. Cytokine 2014; 69:94-101. [DOI: 10.1016/j.cyto.2014.05.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2013] [Revised: 04/05/2014] [Accepted: 05/12/2014] [Indexed: 01/29/2023]
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