BME100 s2016:Group16 W1030AM L1

BME 100 Spring 2016	Home People 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 Photos Wiki Editing Help
OUR TEAM Name: Mayar Allam Name: Joesph Carrillo Name: Tashena Jackson Name: Ryanne Maxie Name: Andrew Smith Name: Austin Morgan LAB 1 WRITE-UP Independent and Dependent Variables The independent variable, or the variable that will be manipulated in this study, is the dosage of inflammotin agent provided to each subject. The dependent variable, or the variable that is changed due to the manipulation of the independent variable, is the change in inflammotin protein levels in each subject. ==Experimental Design== [[For our experiment we will be conducting tests on a group of 60 elderly persons (age 65+) with a Inflammotin protein deficiency. It has already been proven that a 10mg dose of the inflammation inducing agent lipopolysaccharide can reliably produce an increase in inflammatory protein levels in the elderly within the first 48 hours of dosing. Based on this conclusion, our experiment will divide our 60 test subjects into 6 random groups, one control group and the other groups receiving 2,4,5,6,8 and 10mg doses respectively.The main group of 60 will be chosen from a larger pool of 100 volunteers from the community, of equally diverse races, backgrounds and financial standings. Then sup-groups will be chosen from the pool of 60, using a random number generator, and the dose group they are in will be unknown to both the group and the experimenters, in order to produce a double-blind study and reduce bias on both sides. Over a period of 1 month, each control group will come in every 48hours and their levels of inflammatory protein will be evaluated. Each individual in each group will have their data recorded, and after the all the data is collected and the experiment concluded after one month, each group of data will be plotted on an X Y plot, and a best fit line assigned to each group of data. From this the plots will be evaluated against the control to find the lowest does that positively and noticeably effects the level of inflammatory protein.]] Groups 6 groups pulled from a pool of 60 elderly with inflammatory protein deficiency Age 65+ years Number of subjects per group 10 Subject Selection We will select our subjects by placing adds in newspapers, magazines, and on the internet for individuals that want their inflammatory levels to be tested. This will bring a good group of random people that volunteer to participate in our study. The individuals that test positive for a deficiency may or may not be selected for the experiment. The individuals that are selected will be at random. This group will be the most diverse from being healthy to unhealthy and from 65 years old on up. The volunteers should not have taken lipopolysaccharide before to eliminate a bias. There will be one group out of the six groups that will be a control and the remaining five groups will be experimental. Sources of Error and Bias One of the largest sources of error in research studies investigating new drugs or medication is the placebo effect, which describes the idea that when a patient knows or the he or she is or is not receiving the actual drug (instead of the placebo) they will act differently or provide biased observations and reports of the effect of the drug. Additionally, researchers can effects the results of the study if they are aware of which treatment the patients are receiving by being biased in their own observations and selective in the data they choose to report. The best way to control for both of these biases is a double-blind study in which neither the subjects or the researchers are aware of which patients are getting the placebo and which are getting the actual drug. Another source of error could be level of activity in each subject. Subjects who are more or less active would have different levels of inflammation and their bodies will react to and metabolize drugs differently. This error should be accounted for by randomly assigning subjects in their groups. This randomization should provide a range of activity levels of the subjects in each group. Additionally, subjects should be asked about their activity level when they are being screened initially to eliminate any outliers (i.e. someone who runs marathons and has an extremely high metabolism).