Serum protein signatures detect early radiographic osteoarthritis

Slides:



Advertisements
Similar presentations
The relationship between specific tissue lesions and pain severity in persons with knee osteoarthritis Ms L. Torres, B.A., Dr D.D. Dunlop, Ph.D., Dr C.
Advertisements

Type II collagen C2C epitope in human synovial fluid and serum after knee injury – associations with molecular and structural markers of injury  N. Kumahashi,
Knee osteoarthritis radiographic progression and associations with pain and function prior to knee arthroplasty: a multicenter comparative cohort study 
Electrical stimulation for pain relief in knee osteoarthritis: systematic review and network meta-analysis  C. Zeng, H. li, T. Yang, Z.-h. Deng, Y. Yang,
Identification of synovial fluid microRNA signature in knee osteoarthritis: differentiating early- and late-stage knee osteoarthritis  Y.-H. Li, G. Tavallaee,
Serum hyaluronic acid as a potential marker with a predictive value for further radiographic progression of hand osteoarthritis  M. Filková, L. Šenolt,
Molecular phenotyping of HCS-2/8 cells as an in vitro model of human chondrocytes  J. Saas, Ph.D., K. Lindauer, Ph.D., B. Bau, M.Sc., M. Takigawa, D.D.S.,
M. Fu, G. Huang, Z. Zhang, J. Liu, Z. Zhang, Z. Huang, B. Yu, F. Meng 
Association of urinary metabolites with radiographic progression of knee osteoarthritis in overweight and obese adults: an exploratory study  R.F. Loeser,
Electrical stimulation for pain relief in knee osteoarthritis: systematic review and network meta-analysis  C. Zeng, H. li, T. Yang, Z.-h. Deng, Y. Yang,
Identification of the pathogenic pathways in osteoarthritic hip cartilage: commonality and discord between hip and knee OA  Y. Xu, M.J. Barter, D.C. Swan,
L. Zhang, M. Yang, P. Marks, L. M. White, M. Hurtig, Q. -S. Mi, G
Possible involvement of the oxidized low-density lipoprotein/lectin-like oxidized low- density lipoprotein receptor-1 system in pathogenesis and progression.
Differential proteome analysis of normal and osteoarthritic chondrocytes reveals distortion of vimentin network in osteoarthritis  S. Lambrecht, M.Pharm.,
Association of knee and ankle osteoarthritis with physical performance
L. Kalichman, Ph. D. , P. T. , I. Malkin, Ph. D. , M. J. Seibel, Ph. D
H.J. Smith, Ph.D., J.B. Richardson, M.D., A. Tennant, Ph.D. 
Differential proteome of bone marrow mesenchymal stem cells from osteoarthritis patients  R. Rollín, Ph.D., F. Marco, M.D., Ph.D., E. Camafeita, Ph.D.,
J.L. Huebner, M.S., V.B. Kraus, M.D., Ph.D. 
Is barefoot regional plantar loading related to self-reported foot pain in patients with midfoot osteoarthritis  S. Rao, J.F. Baumhauer, D.A. Nawoczenski 
Appropriateness and total knee arthroplasty: an examination of the American Academy of Orthopaedic Surgeons appropriateness rating system  D.L. Riddle,
Disability and quality of life of patients with knee or hip osteoarthritis in the primary care setting and factors associated with general practitioners'
Identification of synovial fluid microRNA signature in knee osteoarthritis: differentiating early- and late-stage knee osteoarthritis  Y.-H. Li, G. Tavallaee,
Impact of final oocyte maturation using gonadotropin-releasing hormone agonist triggering and different luteal support protocols on endometrial gene expression 
C. -H. Chou, M. T. M. Lee, I. -W. Song, L. -S. Lu, H. -C. Shen, C. -H
Synovial changes detected by ultrasound in people with knee osteoarthritis – a meta- analysis of observational studies  A. Sarmanova, M. Hall, J. Moses,
Quantitation OF ARGS aggrecan fragments in synovial fluid, serum and urine from osteoarthritis patients  F.M. Germaschewski, C.J. Matheny, J. Larkin,
A. H. Huang, B. S. , M. Yeger-McKeever, M. D. , A. Stein, R. L
L. Shamir, S. M. Ling, W. Scott, M. Hochberg, L. Ferrucci, I. G
K. Fundel, Ph. D. , J. Haag, Ph. D. , P. M. Gebhard, M. Sc. , R
Proteomic analysis of individual human embryos to identify novel biomarkers of development and viability  Mandy G. Katz-Jaffe, Ph.D., David K. Gardner,
Health-related quality of life and costs in patients with osteoarthritis on waiting list for total knee replacement  M. Núñez, Ph.D., E. Núñez, Ph.D.,
Molecular phenotyping of severe asthma using pattern recognition of bronchoalveolar lavage–derived cytokines  Allan R. Brasier, MD, Sundar Victor, MS,
Differences in trabecular bone texture between knees with and without radiographic osteoarthritis detected by fractal methods  P. Podsiadlo, Ph.D., L.
Foot morphology in osteoarthritis and hallux valgus
D. Kumar, K.T. Manal, K.S. Rudolph  Osteoarthritis and Cartilage 
Lisa G. Criscione, M. D. , Alan L. Elliott, M. D. , M. P. H
Characterization of pro-apoptotic and matrix-degradative gene expression following induction of osteoarthritis in mature and aged rabbits  Dr. C.M. Robertson,
Symptomatic efficacy and safety of diacerein in the treatment of osteoarthritis: a meta- analysis of randomized placebo-controlled trials  E.M. Bartels,
C. Ruiz-Romero, F.J. Blanco  Osteoarthritis and Cartilage 
Gene expression variation in human meniscus: molecular and clinical implications for cartilage homeostasis and early osteoarthritis development  M.F.
Serum cartilage oligomeric matrix protein (sCOMP) is elevated in patients with knee osteoarthritis: a systematic review and meta-analysis  J.M. Hoch,
Association of urinary metabolites with radiographic progression of knee osteoarthritis in overweight and obese adults: an exploratory study  R.F. Loeser,
Joint space narrowing and Kellgren–Lawrence progression in knee osteoarthritis: an analytic literature synthesis  P.S. Emrani, B.S., J.N. Katz, M.D.,
Inhibition of ADAMTS-7 and ADAMTS-12 degradation of cartilage oligomeric matrix protein by alpha-2-macroglobulin  Y. Luan, Ph.D., M.D., L. Kong, Ph.D.,
N. Männicke, M. Schöne, M. Oelze, K. Raum  Osteoarthritis and Cartilage 
Risk factors for onset of osteoarthritis of the knee in older adults: a systematic review and meta-analysis  M. Blagojevic, C. Jinks, A. Jeffery, K.P.
Joint dependent concentrations of bone alkaline phosphatase in serum and synovial fluids of horses with osteochondral injury: an analytical and clinical.
Identification of differentially expressed genes in trabecular bone from the iliac crest of osteoarthritic patients  E. Sánchez-Sabaté, L. Alvarez, E.
Efficacy and safety of ginger in osteoarthritis patients: a meta-analysis of randomized placebo-controlled trials  E.M. Bartels, V.N. Folmer, H. Bliddal,
The genetics of osteoarthritis in STR/ort mice
Novel statistical methodology reveals that hip shape is associated with incident radiographic hip osteoarthritis among African American women  H. An,
Trajectories and risk profiles of pain in persons with radiographic, symptomatic knee osteoarthritis: data from the osteoarthritis initiative  J.E. Collins,
W.C. Bae, Ph.D., B.L. Schumacher, B.S., R.L. Sah, M.D., Sc.D. 
MRI-derived T2 relaxation times and cartilage morphometry of the tibio-femoral joint in subjects with and without osteoarthritis during a 1-year follow-up 
R.H. Brophy, B. Zhang, L. Cai, R.W. Wright, L.J. Sandell, M.F. Rai 
Expression profile of long noncoding rnas in osteoarthritis patients
The development of a short measure of physical function for knee OA KOOS-Physical Function Shortform (KOOS-PS) – an OARSI/OMERACT initiative  A.V. Perruccio,
S.G. Muthuri, D.F. McWilliams, M. Doherty, W. Zhang 
F. Zhang, Ph. D. , G. Zhai, Ph. D. , B. S. Kato, Ph. D. , D. J
PIIANP and HELIXII diurnal variation
Electromyographic patterns suggest changes in motor unit physiology associated with early osteoarthritis of the knee  S.M. Ling, M.D., R.A. Conwit, M.D.,
Falls risk is associated with pain and dysfunction but not radiographic osteoarthritis in older adults: Tasmanian Older Adult Cohort study  S.J. Foley,
Osteoarthritis year 2012 in review: biology
D. Kumar, D. C. Karampinos, T. D. MacLeod, W. Lin, L. Nardo, X. Li, T
Osteochondral injury increases type II collagen degradation products (C2C) in synovial fluid of Thoroughbred racehorses  T.N. Trumble, D.V.M., Ph.D.,
Reply Journal of Vascular Surgery
K. W. Marshall, M. D. , Ph. D. , F. R. C. S. (C), H. Zhang, M. D. , Ph
Measurement of synovial fluid volume using urea
General Information Osteoarthritis and Cartilage
Presentation transcript:

Serum protein signatures detect early radiographic osteoarthritis S.M. Ling, M.D., D.D. Patel, M.D., Ph.D., P. Garnero, Ph.D., M. Zhan, Ph.D., M. Vaduganathan, B.S., D. Muller, M.S., D. Taub, Ph.D., J.M. Bathon, M.D., M. Hochberg, M.D., D.R. Abernethy, M.D., Ph.D., E.J. Metter, M.D., L. Ferrucci, M.D., Ph.D.  Osteoarthritis and Cartilage  Volume 17, Issue 1, Pages 43-48 (January 2009) DOI: 10.1016/j.joca.2008.05.004 Copyright © 2008 Terms and Conditions

Fig. 1 Protein signatures distinguish OA from control samples at both time points. The differences in protein expression between cases and controls at the initial X-ray visit (panel A) and at the classifying X-ray visit (panel B) are displayed in the heat-maps. Red depicts proteins that are expressed at higher concentrations in OA samples, while green indicates protein expression at lower concentrations in OA samples. Black spots indicate proteins that were not different between OA and control samples. In both heat-maps, samples are horizontally grouped according to the classification of OA and controls, and by age group. Vertically the proteins are arranged by unweighted pair group method with arithmetic mean (UPGMA) clustering based on the z-score expression values. The differentially expressed proteins analyzed by PCA are plotted separately with the X, Y and Z axes signifying the first, second and third PCs with OA-associated proteins are represented in blue and control-associated proteins in red. The 10 differentially expressed proteins predictive of OA development at the initial X-ray visit (panel C) and the 16 proteins associated with OA at the classifying X-ray visit (panel D) illustrate separation of cases from controls at both time points. Osteoarthritis and Cartilage 2009 17, 43-48DOI: (10.1016/j.joca.2008.05.004) Copyright © 2008 Terms and Conditions

Fig. 2 Classification tree using proteins that were different at initial and classifying X-ray visits. Recursive regression tree classification of OA cases and control samples based on protein amount observed at the time of the initial X-ray (A), and at the time of the classifying X-ray (B). Beside each protein appears the threshold z-score used to classify samples. The odds ratios associated with each protein appear in the brackets. Two numbers are displayed on each node (depicted as circle for non-terminal nodes or square for terminal nodes): the number of samples classified as OA by that protein is shown on the top and the number of participants classified as controls is shown on the bottom. The misclassification error rate was 0.061 for (A), and 0.071 for (B). Osteoarthritis and Cartilage 2009 17, 43-48DOI: (10.1016/j.joca.2008.05.004) Copyright © 2008 Terms and Conditions