RNA-seq study of shoulder tissue.
We have RNA-seq and cytokine data from different groups of patients. The contrasts required are detailed below:
Questions:
- What is the relationship between metabolic syndrome (visceral obesity, hypertension, elevated fasting glucose, and dyslipidaemia) and the transcriptomic profile of shoulder OA when comparing bone biopsies between patients with cuff arthropathy and primary osteoarthritis? For the above analyses to be effective, we will need to adjust for age, sex and CRP. Patients are classified as having metabolic syndrome = YES, or not = No, giving us a discrete variable which takes into account BMI, Fasting glucose, Cholesterol and Blood pressure in accordance with the international diabetes federation definition.
Metabolic syndrome: N = 9 patients (all in the primary OA/cuff arthropathy group)
Primary OA: N = 13 patients
Cuff arthropathy: N = 7 patients
Instability (control group): N = 26
- Can we predict gene expression profile in capsular tissue biopsies of patients undergoing shoulder stabilisation for shoulder instability using capsular tissue biopsies in patients with cuff arthropathy and primary osteoarthritis? Correct me if I'm wrong, but this is a cross tissue expression analysis to predict gene expression profiles in the instability group? In doing so I assume if we cannot predict gene expression profiles in the instability group – this suggests the differences are disease specific (OA/Cuff arthropathy)?
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Can we predict the gene expression profile in capsular tissue biopsies of patients undergoing rotator cuff repair using capsular tissue biopsies in patients undergoing shoulder replacement for primary OA or Rotator cuff arthropathy? (adjusting for age and sex also).
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To investigate if there is a unique transcriptomic expression profile that predicts healing or failure to heal in patients undergoing rotator cuff repair by analysing tear edge tissue biopsies, compared to instability as a control group (capsular tissue).