BME100 f2013:W900 Group10: Difference between revisions

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| [[Image:BME103student.jpg|100px|thumb|Name: Joslin Jose  
| [[Image:BME103student.jpg|100px|thumb|Name: Joslin Jose  
experimental design and source of biases and errors Role(s)]]
experimental design and source of biases and errors Role(s)]]
| [[Image:BME103student.jpg|100px|thumb|Name: Barrett Anderies student<br>Role(s)]]
| [[Image:BME103student.jpg|100px|thumb|Name: Barrett Anderies student<br>Role(s) Experimental design and subject selection]]
| [[Image:BME103student.jpg|100px|thumb|Name: student<br>Role(s) Experimental design and subject selection]]
| [[Image:BME103student.jpg|100px|thumb|Name: student<br>Role(s)]]
| [[Image:BME103student.jpg|100px|thumb|Name: student<br>Role(s)]]
| [[Image:BME103student.jpg|100px|thumb|Name: student<br>Role(s)]]
| [[Image:BME103student.jpg|100px|thumb|Name: student<br>Role(s)]]
| [[Image:BME103student.jpg|100px|thumb|Name: student<br>Role(s)]]

Revision as of 23:12, 10 September 2013

BME 100 Fall 2013 Home
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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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OUR TEAM

Name: Joslin Jose experimental design and source of biases and errors Role(s)
Name: Barrett Anderies student
Role(s) Experimental design and subject selection
Name: student
Role(s)
Name: student
Role(s)
Name: student
Role(s)
Name: student
Role(s)

LAB 1 WRITE-UP

Independent and Dependent Variables

The independent variable is the dose of an inflammation inducing agent lipopolysaccharide. And the dependent varible is the inflammatory protein (Inflammotin).



Experimental Design

Number of groups: 6

Number of subjects per group: 20

We will label the groups as follows, and each group will be receiving the listed dose of lipopolysaccharide on the time schedule outlined below:


Group 1: 0mg LPS (control group)

Group 2: 2mg LPS

Group 3: 4mg LPS

Group 4: 6mg LPS

Group 5: 8mg LPS

Group 6: 10mg LPS


Experiment schedule and procedure:

The experiment will be conducted over a five week period. The experiments are spaced this way in an attempt to avoid subjects developing tolerance to lipopolysaccharide, and thus skewing our results. Also, the long intervals between doses allows patients to recover from the fasting period. Subjects in each group will undergo the experiment at the beginning of each week (Monday). They will go through a 12 hour fasting period prior to the experiment to ensure that their blood does not contain any contaminants from food consumption that could affect with the efficacy of lipopolysaccharide or otherwise interfere with the Inflammotin levels. Prior to each experiment, every subject of each group will have their blood drawn and their baseline Inflammotin levels recorded using an ELISA assay. This way we can determine the average baseline levels of Inflammotin in our subjects as well as record the unique baseline Inflammotin levels of each subject in order to calculate the relative change in Inflommotin levels (if any) in each subject during the experiment. Next, the patients will receive their dose of lipopolysaccharide. After waiting the required time for the lipopolysaccharide to take effect, subjects will have their blood drawn and Inflammotin levels recorded. After all the data have been collected it will be analysed to determine what is the average minimum dosage required to generate a significant increase in Inflammoin levels in the elderly (50+).




Subject Selection

Subject selection will consist of the recruitment of 60 male and 60 female subjects who meet the following criteria:

• Subjects must be over the age of 50 (the given data given in the lab 1 prompt regarding lipopolysaccharide was for the "elderly," thus we chose to use elderly subjects for consistency)

• Subjects cannot have arthritis, or some other condition that requires them to take anti-inflammatory medications. These medications can interfere with the effect of lipopolysaccharide.

• Subjects must have an average height to weight ratio and body mass index. We don't know how height to weight ratios and BMI affect the efficacy of lipopolysaccharide, so we will use subjects who are in the average range. Another study needs to be conducted to determine how these factors affect the efficacy of lipopolysaccharide.

• Subjects must not have a medical history or condition that could result in them being harmed by the experiment (allergies, injuries that could worsen under inflamed conditions, etc.)


Furthermore, all participants must inform consent and have a knowledgeable understanding of the experimental design (NOTE: If participants fall under vulnerable population inform consent must be obtained from subjects' legally authorized representative). Furthermore, subjects cannot have any ailment went met with any inflammation inducing agents. Moreover, during the 5 week time period the subjects are not allowed to take any other sort of anti-inflammatory pills other than lipopolysaccharide. This is because other anti-inflammatory medications can interfere with the Inflammotin reading and or defeat the purpose of lipopolysaccharide.



NOTES:

apllicants must not have any problems with inflammation, who do not have a medical history or condition that could jeopardize their health or our experimental results. or other inflammation that is present that causes them to take anti-inflammatories due to its counter productiveness on the drug being tested. The subjects should be of varying health levels, of average height and weight, and divided equally between genders to allow the ability to see if the drug acts differently. The recruitment will be random beyond these specifications

(Discuss considerations of how subjects are to be selected.) ================================

Select 120 elders from a pool of 220 elders ranging from 50 years of age to 80 years of age. Medical history report of each subject in the pool of 220 to inform researchers of any medical conditions that may potentially harm the subject’s due to the drug research. All participants must inform consent and have a knowledgeable understanding of the experimental design (NOTE: If participants fall under vulnerable population inform consent must be obtained from subjects legally authorized representative). Gender preference of half male and half female subject’s. Subject’s must fall within the average height to weight ratio. gn) Subject Selection: The 120 people we recruit for this experiment will qualify as elderly based on pre-requisite medical terminology of what it takes to be called elderly. The only restriction we will place on the random aplicants is that they do not have any problems with inflammation, so they cannot have any ailment that went met with inflammation causes negative reactions to their health and they can not have arthritis or other inflammation that is present that causes them to take anti-inflammatories due to its counter productiveness on the drug being tested. The subjects should be of varying health levels, of average height and weight, and divided equally between genders to allow the ability to see if the drug acts differently. The recruitment will be random beyond these specifications 
Moreover, during the 5 week time period the subjects are not allowed to take any other sort of anti-inflammatory pills other than lipopolysaccharide. This is because other anti-inflammatory medications can interfere with the Inflammotin reading and or defeat the purpose of lipopolysaccharide.

The subjects will be selected at random but they will have to pass a blind survey of qualifications.




Sources of Error and Bias

• If the subjects take any other medications such as pain killers, or other daily necessary prescription could possibly skew the test reading. The chemical properties within the mediation could affect inflammation levels.


• Genetics can definitely affect inflammation levels. Everyone is different genetically therefore their response to the doses can be different as well.

~ Instrumental and Observational Error may occur due to poorly calibrated devices or human error in reading the data. This could potentially cause our data to be off. Testing multiple test samples would help minimize error in the data.


(What are some of the potential sources of error or biases that could affect your results and how would you control for them?)