Understanding the complex genetic architecture connecting rheumatoid arthritis, osteoporosis and inflammation: discovering causal pathways.

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 (ß = 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.

Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study.

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.

Glycoprotein Acetyls Is a Novel Biomarker Predicting Cardiovascular Complications in Rheumatoid Arthritis.

The relationship between rheumatoid arthritis (RA) and early onset atherosclerosis is well depicted, each with an important inflammatory component. Glycoprotein acetyls (GlycA), a novel biomarker of inflammation, may play a role in the manifestation of these two inflammatory conditions. The present study examined a potential mediating role of GlycA within the RA-atherosclerosis relationship to determine whether it accounts for the excess risk of cardiovascular disease over that posed by lipid risk factors. The UK Biobank dataset was acquired to establish associations among RA, atherosclerosis, GlycA, and major lipid factors: total cholesterol (TC), high- and low-density lipoprotein (HDL, LDL) cholesterol, and triglycerides (TGs). Genome-wide association study summary statistics were collected from various resources to perform genetic analyses. Causality among variables was tested using Mendelian Randomization (MR) analysis. Genes of interest were identified using colocalization analysis and gene enrichment analysis. MR results appeared to indicate that the genetic relationship between GlycA and RA and also between RA and atherosclerosis was explained by horizontal pleiotropy (p-value = 0.001 and <0.001, respectively), while GlycA may causally predict atherosclerosis (p-value = 0.017). Colocalization analysis revealed several functionally relevant genes shared between GlycA and all the variables assessed. Two loci were apparent in all relationships tested and included the HLA region as well as SLC22A1. GlycA appears to mediate the RA-atherosclerosis relationship through several possible pathways. GlycA, although pleiotropically related to RA, appears to causally predict atherosclerosis. Thus, GlycA is suggested as a significant factor in the etiology of atherosclerosis development in RA.

The Anti-Tumorigenic Role of Cannabinoid Receptor 2 in Colon Cancer: A Study in Mice and Humans.

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.

Genetic and environmental correlational structure among metabolic syndrome endophenotypes.

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.

Specialized, Pro-Resolving Mediators as Potential Therapeutic Agents for Alleviating Fibromyalgia Symptomatology.

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 individuals with FM. The prevalence of pro-inflammatory factors in the cerebrospinal fluid and blood has been repeatedly observed in individuals with FM, which supports the idea of a role of the inflammatome in FM pathogenesis. As such, failed inflammation resolution might be one of the underlying pathogenic mechanisms. Accordingly, 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. As 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.

Scoliosis and skeletal muscle mass are strongly associated with low back pain-related disability in humans: An evolutionary anthropology point of view.

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.

Biased and allosteric modulation of bone cell-expressing G protein-coupled receptors as a novel approach to osteoporosis therapy.

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 ß-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.

Receptors for pro-resolving mediators as a therapeutic tool for smooth muscle remodeling-associated disorders.

Respiratory airway, blood vessel and intestinal wall remodeling, in which smooth muscle remodeling plays a major role, is a key pathological event underlying the development of several associated diseases, including asthma, cardiovascular disorders (e.g., atherosclerosis, hypertension, and aneurism formation), and inflammatory bowel disease. However, the mechanisms underlying these remodeling processes remain poorly understood. We hypothesize that the creation of chronic inflammation-mediated networks that support and exacerbate the airway, as well as vascular and intestinal wall remodeling, is a crucial pathogenic mechanism governing the development of the associated diseases. The failed inflammation resolution might be one of the causal pathogenic mechanisms. Hence, it is reasonable to assume that applying specialized, pro-resolving mediators (SPMs), acting via cognate G-protein coupled receptors (GPCRs), could potentially be an effective pathway for treating these disorders. However, several obstacles, such as poor understanding of the SPM/receptor signaling pathways, SMP rapid inactivation as well as their complex and costly synthesis, limit their translational potential. In this connection, stable, small-molecule SPM mimetics and receptor agonists have emerged as new, potentially suitable drugs. It has been recently shown in preclinical studies that they can effectively attenuate the manifestations of asthma, atherosclerosis and Crohn's disease. Remarkably, some biased SPM receptor agonists, which cause a signaling response in the desired inflammation pro-resolving direction, revealed similar beneficial effects. These encouraging observations suggest that SPM mimetics and receptor agonists can be applied as a novel approach for the treatment of various chronic inflammation conditions, including airway, vascular and intestinal wall remodeling-associated disorders.

Is craniofacial morphology and body composition related by common genes: Comparative analysis of two ethnically diverse populations.

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.

Growth and differentiation factor 15 is a biomarker for low back pain-associated disability.

The development of low back pain (LBP) is often associated with obesity and sarcopenia. However, the mechanisms of this association remain unclear. To clarify this, we measured circulating levels of a selected panel of soluble factors, presumably involved in obesity and sarcopenia pathogenesis, and correlated them with several LBP-related characteristics, taking into account body composition and other relevant covariates. In the cross-sectional study of 1078 individuals, we collected data on self-reported LBP, body composition (including fat and skeletal muscle mass) assessed by the bioimpedance method and anthropometrically, and measured plasma levels of several cytokines by ELISA. In the statistical analysis, we took into account familial composition of the sample and possible putative genetic effects. We report that LBP-affected individuals were significantly older, with increased obesity and decreased skeletal mass, respectively, compared with the non-affected group. In univariate analyses, plasma concentrations of Growth and differentiation factor 15 (GDF-15), leptin, chemerin and follistatin were found significantly elevated in the LBP-affected groups (with or without sciatic pain) and were highly significantly (p < 0.001) associated with other LBP-related phenotypes, specifically, disease duration, disability and physician consults. However, after adjustment for one another, age, sex, body composition and putative genetic factors, the only associations between GDF-15 and LBP disability and medical consulting phenotypes, remained significant. In conclusion, we report for the first time, a significant and independent association between plasma GDF-15 concentrations and LBP-associated disability. Longitudinal studies are needed to determine whether GDF-15 could be a novel therapeutic target for prevention and/or treatment of LBP.

Metabolomic markers of fatigue: Association between circulating metabolome and fatigue in women with chronic widespread pain.

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 (ß=-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.

Shared genetic influence on frailty and chronic widespread pain: a study from TwinsUK.

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.

Quantitative genetic analysis of the body composition and blood pressure association in two ethnically diverse populations.

OBJECTIVES: The major aim of this study was to conduct comparative quantitative-genetic analysis of the body composition (BCP) and somatotype (STP) variation, as well as their correlations with blood pressure (BP) in two ethnically, culturally and geographically different populations: Santhal, indigenous ethnic group from India and Chuvash, indigenous population from Russia. MATERIALS AND METHODS: Correspondently two pedigree-based samples were collected from 1,262 Santhal and1,558 Chuvash individuals, respectively. At the first stage of the study, descriptive statistics and a series of univariate regression analyses were calculated. Finally, multiple and multivariate regression (MMR) analyses, with BP measurements as dependent variables and age, sex, BCP and STP as independent variables were carried out in each sample separately. The significant and independent covariates of BP were identified and used for re-examination in pedigree-based variance decomposition analysis. RESULTS AND DISCUSSION: Despite clear and significant differences between the populations in BCP/STP, both Santhal and Chuvash were found to be predominantly mesomorphic irrespective of their sex. According to MMR analyses variation of BP significantly depended on age and mesomorphic component in both samples, and in addition on sex, ectomorphy and fat mass index in Santhal and on fat free mass index in Chuvash samples, respectively. Additive genetic component contributes to a substantial proportion of blood pressure and body composition variance. Variance component analysis in addition to above mentioned results suggests that additive genetic factors influence BP and BCP/STP associations significantly.

Quantitative genetics of circulating Hyaluronic Acid (HA) and its correlation with hand osteoarthritis and obesity-related phenotypes in a community-based sample.

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.

Environmental rather than genetic factors determine the variation in the age of the infancy to childhood transition: a twins study.

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.

Low back and common widespread pain share common genetic determinants.

Low back (LBP) and chronic widespread musculoskeletal pain (CWP) both have a significant genetic component and are associated with increased body mass index (BMI). We examined whether LBP and CWP share common genetic factors, and to what extent this correlation is modified by the genetic factors influencing BMI. Genetic analysis of binary traits such as pain is not simple, particularly if their risk is associated with age or other quantitative traits. Implementing Falconer's polygenic threshold concept for dichotomous traits inheritance, we developed new software to examine the extent of the genetic influence on LBP and CWP under age and BMI dependence. The analysis was conducted on 3266 and 2256 UK female twins, assessed for LBP and CWP, respectively. Analysis of the liability scores with threshold to LBP and CWP established substantial contribution of genetic factors to their variation (h(2) > 0.60, p<0.004-0.0003) and covariation (p=3.1E-08). Some 39% of the CWP and 70% of the LBP heritability estimates were attributable to genetic effects shared by both phenotypes, and 40% and 67% of the residual variation is caused by environmental factors simultaneously affecting both pain syndromes. However, contribution of BMI to variation/covariation of both pain phenotypes-although statistically highly significant (p∼10-7)-was not determinative.

Association of interleukin-6 gene polymorphisms with hand osteoarthritis and hand osteoporosis.

OBJECTIVE: Several genes, including IL-6 encoding pro-inflammatory cytokines, are involved in development of osteoarthritis and osteoporosis. The association of radiographic hand osteoarthritis (RHOA) and osteoporosis related phenotypes (RHOP) with polymorphisms in IL-6 has been reported inconsistently. The aim of this study was to examine the association, between RHOA and RHOP and IL-6 polymorphisms in two independent samples. METHODS: Two samples: UK females, including 1440 individuals assessed for RHOA and 3470 assessed for RHOP; Chuvash pedigree including 1499 females and males were assessed for RHOP and RHOA. SNPs were genotyped in the IL-6 genomic region, and used in association analysis with RHOA and RHOP phenotypes. RESULTS: RHOP phenotypes showed similar heritability estimates in both samples, ranging from 34.5 ± 5.5% to 61.0 ± 2.4%. RHOA in Chuvash had substantially lower heritability estimates compared to twins (e.g. OSP scores: 11.8 ± 2.3% vs. 39.2 ± 4.1%) with much higher prevalence and considerably stronger correlation with age (r = 0.811 vs. r = 0.505). RHOA in Chuvash sample may be traumatic in nature, caused by heavy and prolonged manual work related to their private farming. There were a number of statistically significant association results with both types of phenotypes. The most consistent result was obtained for JSN in both samples with SNP from the same haploblock. Their combined probability of no association was only p = 0.000003. Additionally, there were SNPs common for both RHOA and RHOP. CONCLUSIONS: We have shown polymorphisms in IL_6 are significantly associated with RHOA and hand RHOP in two samples having different ethnicity and lifestyle. Age × environment × genes interaction appears as an important factor of RHOA manifestation and progression.

Contribution of body composition components and soft-tissue biochemical factors to genetic variation of body mass index (BMI) in an ethnically homogeneous population.

OBJECTIVES: Elevated BMI results from an excess of not only fat mass (FM) but also fat-free soft tissue mass (FFM). Both components of body soft tissue, FM, and FFM, are now considered as active endocrine organs. The major aim of this study was to explore the genetic architecture of BMI, considering genetic variations of its major soft tissue components, and the main biochemical factors associated with their corresponding metabolism: leptin, adiponectin, E-selectin, and insulin-like growth factor binding protein, IGFBP-1. METHODS: A total of 1,502 apparently healthy individuals (783 men, 719 women) from 359 ethnically homogeneous families were assessed anthropometrically for body composition. Model-based quantitative genetic analyses were implemented to reveal genetic and shared environmental factors affecting the variation and covariation of the studied phenotypes. RESULTS: We found that inter-individual variation in BMI is strongly correlated with both body composition components (r > 0.92, P < 0.001). These correlations are caused by shared genetic and environmental factors that were interpreted to be a direct result of the intimate genetic and environmental correlations between FM and FFM. The latter were also significantly correlated with leptin, E-selectin, and IGFBP-1. However, whereas leptin displayed both genetic and environmental correlations with both FM and FFM, their correlations with E-selectin were caused only by common genes, and with IGFBP-1-only by a shared environment. CONCLUSIONS: This study clearly suggests that FM and FFM contributed almost equally to BMI variation, and provides evidence that this contribution is caused by common genetic as well as shared environmental and metabolic factors.