BME100 f2013:W1200 Group11 L1

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OUR TEAM

Name: Nitish Peela
Name: Nathan Dacasin
Name: Meera Doshi
Name: Shayan Naeini
Name: Angelina Ledesma

LAB 1 WRITE-UP

Independent and Dependent Variables

Independent Variable
The dose of lipopolysaccharide (an inflammation inducing agent).
Dependent Variable
Amount of Inflammotin (the inflammatory protein) expressed in the blood cells of the subjects.

Experimental Design

Groups
There will be 11 groups in our experiment.

Number of subjects per group
The groups will contain twenty subjects each.

Objective
The purpose of this experiment is to find the lowest possible dosage of lipopolysaccharide that will cause an increase in inflammotin levels in blood samples of elderly patients.

Hypothesis
If the dose of lipopolysaccharide is increased, then there is a higher chance of the amount of Inflammotin in the elderly will increase.
Experiment
All subjects will be between the ages of 60 and 80 and will be separated randomly into the 11 groups. One group will not receive any dosage of lipopolysaccharide; this will represent the control group. Each of the other groups will receive varying dosages of LPS, ranging from 2 mg to 20 mg. We will collect blood samples using ELISA from each subject each day after the experiment for two weeks. We will measure the difference between the inflammotin level at the beginning of the experiment and the levels following each daily measurement. Then we will compare the increase in protein levels between each group and the determine the effect of LPS on inflammotin levels.
Predicted Results
The inflammotin levels in elderly patients would increase when the dosage of lipopolysaccharide is at least 10 mg.

Subject Selection

We will take simple random sample of 200 people who are between the ages 60-80 and are from Tempe, Arizona. Qualified subjects cannot be taking medications that interfere with the lipopolysaccharide, nor can they be taking medications that contain other sources of lipopolycassharide.

We will select subjects by numbering every qualified subject in Tempe, Arizona and using a random number generator to select 200 numbers. We will use the people who correspond to the number created by the random number generator to test on.

Sources of Error and Bias

1)A source of error that may arise from the experiment could be a possibility of varying results due to a significantly large range of the dosages of LPS within the groups because we may harm or injure patients because they may receive too much LPS.

2)Alternatively, the range of dosage levels of the LPS may be too small and may not give us the amount of results needed to see a significant increase in protein levels.

3)Another source of error could be that the health and age of the subjects are very subject because it can be any person above the age of 60; the health of a 90 year old for example is significantly more different than one of a 65 year old, potentially giving drastically different results.

4)Although we are separating people randomly into groups, there is the chance that people with similar characteristics are placed into one group. These individuals may react similarly to the dosage and the results will not only be due to varying dosage levels. The best way to control for this is to have a large sample size so that it is less likely that all the similar people are placed into one group.

5)By selecting subjects from various states we would be able to collect a more accurate and more representative set of data on the experiment.

6)Outside factors such as diet and exercise can influence results. We can control this by imposing strict guidelines on the patients which tell them how long to exercise for and what/how much food to eat.