5 research outputs found
Comparison between tofacitinib and ustekinumab as a third-line therapy in refractory ulcerative colitis: multicenter international study
Background: Ustekinumab and tofacitinib have recently been approved for the management of moderate to severe ulcerative colitis (UC). However, there is no evidence on how they should be positioned in the therapeutic algorithm. The aim of this study was to compare tofacitinib and ustekinumab as third-line therapies in UC patients in whom anti-TNF and vedolizumab had failed. Methods: This was a multicenter retrospective observational study. The primary outcome was disease progression, defined as the need for steroids, therapy escalation, UC-related hospitalization and/or surgery. Secondary outcomes were clinical remission, normalization of C-reactive protein, endoscopic remission, treatment withdrawal, and adverse events. Results: One-hundred seventeen UC patients were included in the study and followed for a median time of 11.6 months (qââqâ, 5.5-18.7). Overall, 65% of patients were treated with tofacitinib and 35% with ustekinumab. In the entire study cohort, 63 patients (54%) had disease progression during the follow-up period. Treatment with ustekinumab predicted increased risk of disease progression compared to treatment with tofacitinib in Cox regression analysis (HR: 1.93 [95% CI: 1.06-3.50] p = 0.030). Twenty-eight (68%) patients in the ustekinumab group and 35 (46%) in the tofacitinib group had disease progression over the follow-up period (log-rank test, p < 0.054). No significant differences were observed for the secondary outcomes. Six and 22 adverse events occurred in the ustekinumab and tofacitinib groups, respectively (15% vs. 31%, p = 0.11). Conclusions: Tofacitinib was more efficacious in reducing disease progression than ustekinumab in this cohort of refractory UC patients. However, prospective head-to-head clinical trials are needed as to confirm these data.ACKNOWLEDGMENTS: The authors received no financial support for the research, authorship, and/or publication of this article. Open access funding provided by BIBLIOSAN
Assessment of gene-by-sex interaction effect on bone mineral density
To access publisher's full text version of this article. Please click on the hyperlink in Additional Links field.Sexual dimorphism in various bone phenotypes, including bone mineral density (BMD), is widely observed; however, the extent to which genes explain these sex differences is unclear. To identify variants with different effects by sex, we examined gene-by-sex autosomal interactions genome-wide, and performed expression quantitative trait loci (eQTL) analysis and bioinformatics network analysis. We conducted an autosomal genome-wide meta-analysis of gene-by-sex interaction on lumbar spine (LS) and femoral neck (FN) BMD in 25,353 individuals from 8 cohorts. In a second stage, we followed up the 12 top single-nucleotide polymorphisms (SNPs; pâ<â1âĂâ10(-5) ) in an additional set of 24,763 individuals. Gene-by-sex interaction and sex-specific effects were examined in these 12 SNPs. We detected one novel genome-wide significant interaction associated with LS-BMD at the Chr3p26.1-p25.1 locus, near the GRM7 gene (male effectâ=â0.02 and pâ=â3.0âĂâ10(-5) ; female effectâ=â-0.007 and pâ=â3.3âĂâ10(-2) ), and 11 suggestive loci associated with either FN- or LS-BMD in discovery cohorts. However, there was no evidence for genome-wide significant (pâ<â5âĂâ10(-8) ) gene-by-sex interaction in the joint analysis of discovery and replication cohorts. Despite the large collaborative effort, no genome-wide significant evidence for gene-by-sex interaction was found to influence BMD variation in this screen of autosomal markers. If they exist, gene-by-sex interactions for BMD probably have weak effects, accounting for less than 0.08% of the variation in these traits per implicated SNP. © 2012 American Society for Bone and Mineral Research.Medtronic
NIH R01 AG18728
R01HL088119
R01AR046838
U01 HL084756
R01 AR43351
P01-HL45522
R01-MH-078111
R01-MH-083824
Nutrition and Obesity Research Center of Maryland P30DK072488
NIAMS/NIH F32AR059469
Instituto de Salud Carlos III-FIS (Spanish Health Ministry) PI 06/0034
PI08/0183
Canadian Institutes of Health Research (CIHR)
NHLBI HHSN268201200036C
N01-HC-85239
N01-HC-85079
N01-HC-85086
N01-HC-35129
N01 HC15103
N01 HC-55222
N01-HC-75150
N01-HC-45133
HL080295
HL087652
HL105756
NIA AG-023629
AG-15928
AG-20098
AG-027058
N01AG62101
N01AG62103
N01AG62106
1R01AG032098-01A1
National Center of Advancing Translational Technologies CTSI UL1TR000124
National Institute of Diabetes and Digestive and Kidney Diseases DK063491
EUROSPAN (European Special Populations Research Network)
European Commission FP6 STRP grant 018947
LSHG-CT-2006-01947
Netherlands Organisation for Scientific Research
Erasmus MC
Centre for Medical Systems Biology (CMSB)
Netherlands Brain Foundation (HersenStichting Nederland)
US National Institute for Arthritis, Musculoskeletal and Skin Diseases
National Institute on Aging R01 AR/AG41398
R01 AR050066
R21 AR056405
National Heart, Lung, and Blood Institute's Framingham Heart Study N01-HC-25195
Affymetrix, Inc. N02-HL-6-4278
Canadian Institutes of Health Research from Institute of Aging 165446
Institute of Genetics 179433
Institute of Musculoskeletal health 221765
Intramural Research Program of the NIH, National Institute on Aging
National Institutes of Health HHSN268200782096C
Hong Kong Research Grant Council HKU 768610M
Bone Health Fund of HKU Foundation
KC Wong Education Foundation
Small Project Funding 201007176237
Matching Grant
CRCG Grant
Osteoporosis and Endocrine Research Fund
Genomics Strategic Research Theme of The University of Hong Kong
Netherlands Organisation of Scientific Research NWO Investments 175.010.2005.011
911-03-012
Research Institute for Diseases in the Elderly 014-93-015
Netherlands Genomics Initiative (NGI)/Netherlands Consortium for Healthy Aging (NCHA) 050-060-810
Erasmus Medical Center and Erasmus University, Rotterdam
Netherlands Organization for the Health Research and Development (ZonMw)
Research Institute for Diseases in the Elderly (RIDE)
Ministry of Education, Culture and Science
Ministry for Health, Welfare and Sports
European Commission (DG XII)
Municipality of Rotterdam
German Bundesministerium fur Forschung und Technology 01 AK 803 A-H
01 IG 07015
New genetic loci link adipose and insulin biology to body fat distribution.
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (PÂ <Â 5Â ĂÂ 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms
Assessment of gene-by-sex interaction effect on bone mineral density
Sexual dimorphism in various bone phenotypes, including bone mineral
density (BMD), is widely observed; however, the extent to which genes
explain these sex differences is unclear. To identify variants with
different effects by sex, we examined gene-by-sex autosomal interactions
genome-wide, and performed expression quantitative trait loci (eQTL)
analysis and bioinformatics network analysis. We conducted an autosomal
genome-wide meta-analysis of gene-by-sex interaction on lumbar spine
(LS) and femoral neck (FN) BMD in 25,353 individuals from 8 cohorts. In
a second stage, we followed up the 12 top single-nucleotide
polymorphisms (SNPs; p?<?1?X?10-5) in an additional set of 24,763
individuals. Gene-by-sex interaction and sex-specific effects were
examined in these 12 SNPs. We detected one novel genome-wide significant
interaction associated with LS-BMD at the Chr3p26.1-p25.1 locus, near
the GRM7 gene (male effect?=?0.02 and p?=?3.0?X?10-5; female
effect?=?-0.007 and p?=?3.3?X?10-2), and 11 suggestive loci associated
with either FN- or LS-BMD in discovery cohorts. However, there was no
evidence for genome-wide significant (p?<?5?X?10-8) gene-by-sex
interaction in the joint analysis of discovery and replication cohorts.
Despite the large collaborative effort, no genome-wide significant
evidence for gene-by-sex interaction was found to influence BMD
variation in this screen of autosomal markers. If they exist,
gene-by-sex interactions for BMD probably have weak effects, accounting
for less than 0.08% of the variation in these traits per implicated
SNP. (c) 2012 American Society for Bone and Mineral Research
Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture
The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAFââ€â1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotalâ=â53,236) and fracture (ntotalâ=â508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (nâ=â2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (nâ=â3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (nâ=â26,534), and de novo replication genotyping (nâ=â20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAFâ=â1.6%, replication effect sizeâ=â+0.20 s.d., Pmetaâ=â2âĂâ10(-14)), which was also associated with a decreased risk of fracture (odds ratioâ=â0.85; Pâ=â2âĂâ10(-11); ncasesâ=â98,742 and ncontrolsâ=â409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAFâ=â1.2%, replication effect sizeâ=â+0.41 s.d., Pmetaâ=â1âĂâ10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.</p