BME100 s2015:Group5 12pmL1

From OpenWetWare
Jump to navigationJump to search
Owwnotebook icon.png BME 100 Spring 2015 Home
Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3
Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6
Course Logistics For Instructors
Wiki Editing Help
BME494 Asu logo.png


Name: Brandon Favre
Name: Nick Valverde
Name: Martisha Clyde
Name: Daniella Orlando
Name: David Shumate


Independent and Dependent Variables

Independent Variable: Amount (mg) of LPS

Dependent Variable: Activity of Inflammotin

Experimental Design

10mg Control Group

3mg Experimental Group

5mg Experimental Group

7mg Experimental Group

Participants will be above the age of 60

Number of subjects per group
25 people per group.

Measurement of Inflammotin Activity
The enzyme-linked immunosorbant assay (ELISA) will be used to determine the presence of inflammotin.

Subjects will have their blood drawn twice per week: once immediately prior to LPS administration, and again one hour after LPS administration. This will allow for a comparison between baseline Inflammotin levels and experimental Inflammotin levels.

Subjects will undergo LPS administration and subsequent blood drawing for three weeks, with one week passing between each LPS administration (i.e. Wednesday, following Wednesday, following Wednesday). Experiment will last 3 weeks.

Subject Selection

Healthy (No pre-existing conditions)

Not currently taking any other medications

Haven't taken any medications for the month leading up to the study

No family history of inflammation

Moderate exercise history (at least 30 mins a day)

Subjects must be able to walk

No medical allergies

Sources of Error and Bias

Genetic factors inherent to each patient could skew the results, with some of the patients metabolizing the drug more efficiently than others. Lifestyle choices such as dietary choices or daily activities may also affect the data. Subjects may also be unaware of their family medical history, which could cause for unsuspected results. Finally, various environmental factors, like outside temperature or humidity, could potentially affect the activity of inflammotin. All of these are being mitigated through larger sample size and multiple trials.

Confirmation bias is a huge potential for skewing results, as experimenters will be seeking an effect, which will change the interpretation of the datum.