Gold OAhttp://hdl.handle.net/10034/2716962024-03-29T07:39:30Z2024-03-29T07:39:30ZTwo independent proteomic approaches provide a comprehensive analysis of the synovial fluid proteome response to Autologous Chondrocyte ImplantationHulme, CharlotteWilson, EmmaFuller, Heidi R.Roberts, SallyRichardson, James B.Gallacher, PetePeffers, Mandy J.Shirran, Sally L.Botting, Catherine H.Wright, Karinahttp://hdl.handle.net/10034/6211782024-01-17T12:06:06Z2018-05-02T00:00:00ZTwo independent proteomic approaches provide a comprehensive analysis of the synovial fluid proteome response to Autologous Chondrocyte Implantation
Hulme, Charlotte; Wilson, Emma; Fuller, Heidi R.; Roberts, Sally; Richardson, James B.; Gallacher, Pete; Peffers, Mandy J.; Shirran, Sally L.; Botting, Catherine H.; Wright, Karina
Background: Autologous chondrocyte implantation (ACI) has a failure rate of approximately 20%, but it is yet to be fully understood why. Biomarkers are needed that can pre-operatively predict in which patients it is likely to fail, so that alternative or individualised therapies can be offered. We previously used label-free quantitation (LF) with a dynamic range compression proteomic approach to assess the synovial fluid (SF) of ACI responders and non-responders. However, we were able to identify only a few differentially abundant proteins at baseline. In the present study, we built upon these previous findings by assessing higher-abundance proteins within this SF, providing a more global proteomic analysis on the basis of which more of the biology underlying ACI success or failure can be understood. Methods: Isobaric tagging for relative and absolute quantitation (iTRAQ) proteomic analysis was used to assess SF from ACI responders (mean Lysholm improvement of 33; n = 14) and non-responders (mean Lysholm decrease of 14; n = 13) at the two stages of surgery (cartilage harvest and chondrocyte implantation). Differentially abundant proteins in iTRAQ and combined iTRAQ and LF datasets were investigated using pathway and network analyses. Results: iTRAQ proteomic analysis confirmed our previous finding that there is a marked proteomic shift in response to cartilage harvest (70 and 54 proteins demonstrating ≥ 2.0-fold change and p < 0.05 between stages I and II in responders and non-responders, respectively). Further, it highlighted 28 proteins that were differentially abundant between responders and non-responders to ACI, which were not found in the LF study, 16 of which were altered at baseline. The differential expression of two proteins (complement C1s subcomponent and matrix metalloproteinase 3) was confirmed biochemically. Combination of the iTRAQ and LF proteomic datasets generated in-depth SF proteome information that was used to generate interactome networks representing ACI success or failure. Functional pathways that are dysregulated in ACI non-responders were identified, including acute-phase response signalling. Conclusions: Several candidate biomarkers for baseline prediction of ACI outcome were identified. A holistic overview of the SF proteome in responders and non-responders to ACI has been profiled, providing a better understanding of the biological pathways underlying clinical outcome, particularly the differential response to cartilage harvest in non-responders.
2018-05-02T00:00:00ZThe impact of severe haemophilia and the presence of target joints on health-related quality-of-lifeO’Hara, JamieWalsh, ShaunCamp, CharlotteMazza, GiuseppeCarroll, LizHoxer, ChristinaWilkinson, Larshttp://hdl.handle.net/10034/6211732023-08-03T14:30:30Z2018-05-02T00:00:00ZThe impact of severe haemophilia and the presence of target joints on health-related quality-of-life
O’Hara, Jamie; Walsh, Shaun; Camp, Charlotte; Mazza, Giuseppe; Carroll, Liz; Hoxer, Christina; Wilkinson, Lars
Background: Joint damage remains a major complication associated with haemophilia and is widely accepted as one of the most debilitating symptoms for persons with severe haemophilia. The aim of this study is to describe how complications of haemophilia such as target joints influence health-related quality of life (HRQOL). Methods: Data on hemophilia patients without inhibitors were drawn from the ‘Cost of Haemophilia across Europe – a Socioeconomic Survey’ (CHESS) study, a cost-of-illness assessment in severe haemophilia A and B across five European countries (France, Germany, Italy, Spain, and the UK). Physicians provided clinical and sociodemographic information for 1285 adult patients, 551 of whom completed corresponding questionnaires, including EQ-5D. A generalised linear model was developed to investigate the relationship between EQ-5D index score and target joint status (defined in the CHESS study as areas of chronic synovitis), adjusted for patient covariates including socio-demographic characteristics and comorbidities. Results: Five hundred and fifteen patients (42% of the sample) provided an EQ-5D response; a total of 692 target joints were recorded across the sample. Mean EQ-5D index score for patients with no target joints was 0.875 (standard deviation [SD] 0.179); for patients with one or more target joints, mean index score was 0.731 (SD 0.285). Compared to having no target joints, having one or more target joints was associated with lower index scores (average marginal effect (AME) -0.120; SD 0.0262; p < 0.000). Conclusions: This study found that the presence of chronic synovitis has a significant negative impact on HRQOL for adults with severe haemophilia. Prevention, early diagnosis and treatment of target joints should be an important consideration for clinicians and patients when managing haemophilia.
2018-05-02T00:00:00ZAssociation of apolipoprotein E gene polymorphisms with blood lipids and their interaction with dietary factorsShatwan, Israa M.Winther, Kristian H.Ellahi, BasmaElwood, PeterBen-Shlomo, YoavGivens, IanRayman, Margaret P.Lovegrove, Julie A.Vimaleswaran, Karani S.http://hdl.handle.net/10034/6211152023-08-03T14:26:45Z2018-04-30T00:00:00ZAssociation of apolipoprotein E gene polymorphisms with blood lipids and their interaction with dietary factors
Shatwan, Israa M.; Winther, Kristian H.; Ellahi, Basma; Elwood, Peter; Ben-Shlomo, Yoav; Givens, Ian; Rayman, Margaret P.; Lovegrove, Julie A.; Vimaleswaran, Karani S.
Background: Several candidate genes have been identified in relation to lipid metabolism, and among these, lipoprotein lipase (LPL) and apolipoprotein E (APOE) gene polymorphisms are major sources of genetically determined variation in lipid concentrations. This study investigated the association of two single nucleotide polymorphisms (SNPs) at LPL, seven tagging SNPs at the APOE gene, and a common APOE haplotype (two SNPs) with blood lipids, and examined the interaction of these SNPs with dietary factors. Methods: The population studied for this investigation included 660 individuals from the Prevention of Cancer by Intervention with Selenium (PRECISE) study who supplied baseline data. The findings of the PRECISE study were further replicated using 1238 individuals from the Caerphilly Prospective cohort (CaPS). Dietary intake was assessed using a validated food-frequency questionnaire (FFQ) in PRECISE and a validated semi-quantitative FFQ in the CaPS. Interaction analyses were performed by including the interaction term in the linear regression model adjusted for age, body mass index, sex and country. Results: There was no association between dietary factors and blood lipids after Bonferroni correction and adjustment for confounding factors in either cohort. In the PRECISE study, after correction for multiple testing, there was a statistically significant association of the APOE haplotype (rs7412 and rs429358; E2, E3, and E4) and APOE tagSNP rs445925 with total cholesterol (P = 4 × 10− 4 and P = 0.003, respectively). Carriers of the E2 allele had lower total cholesterol concentration (5.54 ± 0.97 mmol/L) than those with the E3 (5.98 ± 1.05 mmol/L) (P = 0.001) and E4 (6.09 ± 1.06 mmol/L) (P = 2 × 10− 4) alleles. The association of APOE haplotype (E2, E3, and E4) and APOE SNP rs445925 with total cholesterol (P = 2 × 10− 6 and P = 3 × 10− 4, respectively) was further replicated in the CaPS. Additionally, significant association was found between APOE haplotype and APOE SNP rs445925 with low density lipoprotein cholesterol in CaPS (P = 4 × 10− 4 and P = 0.001, respectively). After Bonferroni correction, none of the cohorts showed a statistically significant SNP-diet interaction on lipid outcomes. Conclusion: In summary, our findings from the two cohorts confirm that genetic variations at the APOE locus influence plasma total cholesterol concentrations, however, the gene-diet interactions on lipids require further investigation in larger cohorts.
2018-04-30T00:00:00ZThe relationship between target joints and direct resource use in severe haemophiliaO’Hara, JamieWalsh, ShaunCamp, CharlotteMazza, GiuseppeCarroll, LizHoxer, ChristinaWilkinson, Larshttp://hdl.handle.net/10034/6208482019-08-29T15:34:04Z2018-01-16T00:00:00ZThe relationship between target joints and direct resource use in severe haemophilia
O’Hara, Jamie; Walsh, Shaun; Camp, Charlotte; Mazza, Giuseppe; Carroll, Liz; Hoxer, Christina; Wilkinson, Lars
Objectives Target joints are a common complication of severe haemophilia. While factor replacement therapy constitutes the majority of costs in haemophilia, the relationship between target joints and non drug-related direct costs (NDDCs) has not been studied. Methods Data on haemophilia patients without inhibitors was drawn from the ‘Cost of Haemophilia across Europe – a Socioeconomic Survey’ (CHESS) study, a cost assessment in severe haemophilia A and B across five European countries (France, Germany, Italy, Spain, and the United Kingdom) in which 139 haemophilia specialists provided demographic and clinical information for 1285 adult patients. NDDCs were calculated using publicly available cost data, including 12-month ambulatory and secondary care activity: haematologist and other specialist consultant consultations, medical tests and examinations, bleed-related hospital admissions, and payments to professional care providers. A generalized linear model was developed to investigate the relationship between NDDCs and target joints (areas of chronic synovitis), adjusted for patient covariates. Results Five hundred and thirteen patients (42% of the sample) had no diagnosed target joints; a total of 1376 target joints (range 1–10) were recorded in the remaining 714 patients. Mean adjusted NDDCs for persons with no target joints were EUR 3134 (standard error (SE) EUR 158); for persons with one or more target joints, mean adjusted NDDCs were EUR 3913 (SE EUR 157; average mean effect EUR 779; p < 0.001). Conclusions Our analysis suggests that the presence of one or more target joints has a significant impact on NDDCs for patients with severe haemophilia, ceteris paribus. Prevention and management of target joints should be an important consideration of managing haemophilia patients.
2018-01-16T00:00:00Z