BME100 f2013:W900 Group2 L1

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Owwnotebook icon.png BME 100 Fall 2013 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
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Name: Robert Rye
Name: John Richards
Name: Vivian Vuong
Name: Steven Nye
Name: Leo Santos


Independent and Dependent Variables

The independent variable in this experiment is the the dosage of the inflammation inducing agent (lipopolysaccharide) given to each test subject. The dependent variable in this experiment will be the resulting level of the inflammatory protein, Inflammotin, produced by each test subject (as observed in their provided post-treatment blood sample).

Experimental Design

0 mg pill group, 2 mg pill group, 4 mg pill group, 6 mg pill group, 8 mg pill group and a 10 mg pill group

Number of subjects per group
10 subjects per group

Each subject will have their blood taken and analyzed using ELISA before the experiment to check to see if there is Inflammotin already present in the blood. Then, each person will receive the amount of dosage for lipopolysaccharide they were assigned according to their group. A while later, their blood will be taken again to check for the change in amount of Inflammotin present. We will average the amount of change in Inflammotin for each group and compare them among each other to figure out what is the lowest possible dosage to induce inflammation. When the lowest measured effective dosage is identified from the tested dosages, the groups will then receive additional dosages in increments of 0.5mg less than the lowest effective dosage from the previous experiment until the dosage is no longer effective, and the lowest measured effective dosage can be identified to the nearest half milligram.

Subject Selection

The subjects will be chosen randomly based upon gender (50% male, 50% female), ethnicity (broad spectrum), age (55 years of age and above), and place of residence. The names of the qualified test subjects will be listed and assigned a number. The numbers will be systematically sampled from a list via a random number generator and then seperated into dosage groups.

Sources of Error and Bias

Some errors that could affect the results of our experiment can be the amount of blood taken from the blood sample, which would affect the amount of protein recorded. We would have to keep a constant number throughout the entire experiment. There must be a fair amount of people in each category so the experiment isn't biased. The subjects must be relatively healthy, with no preexisting medical conditions that could affect testing, and must also express the medication they use to the experiment so the medication doesn’t contaminate the results of the experiment. Having malfunctioning equipment could also affect the results. Also, the participants of the experiment could have certain medical history which would skew the results. Another problem that we could come across is inadvertant human error whilst collecting data, such as a wrong measurements.