Evolution And Medicine Flashcards
Antibiotics
Immune system exposed to dead viruses, recognize viral proteins as foreign and mounts a response then remembers structure, can respond immediately to later infection, goal to kill off bacteria
Hemagglutinin
Initiates infection of influenza A by binding to host cell, is recognized, attacked and remembered by host immune system, given strain only persists if it has a new supply if hosts who have not seen the strain before (new mutations have increased survival)
Behavioral fever
Responsive fever as a result of infection, theoretically to help body fight off infection, behavior to heat up own body
Substitutions in influenza A hemagglutinin gene
Most of gene silent > non-synonymous which suggests neutral evolution by genetic drift
Substitutions in antigenic portion of influenza A hemagglutinin gene
Non-synonymous > silent suggests natural selection for amino acid changes (favoring), human immune system exerts selection on viral hemagglutinin gene
Evolution affecting vaccines
Strains diversely very rapidly through nucleotide substitutions in the hemagglutinin gene but most new strains go extinct and don’t persist but the longest living change the most and more rapidly, vaccines prepared in advance and thus how do you choose which mutations to put in the vaccine? (Most recent mutations)
Antibiotic resistance decline as antibiotic use declines
Bacteria evolve resistance to antibiotics, when antibiotic use decline resistance declines (suggests resistance is costly for bacteria and is deleterious in absence of antibiotics) increase in resistance continue even with antibiotic decline possible (suggests that a mutation is compensations for or eliminates cost of resistance -no longer deleterious)
Guidelines to limit bacterial evolution and spread of resistance
Minimize infections (wash food/hands), minimize unnecessary antibiotic use (antibacterial soaps, antibiotics when not needed - viral infections or wrong infection species), kill all bacteria before resistance evolves (use full course of antibiotics, don’t save for later), isolate patients infected with resistant bacteria
Cells within tissues = individuals within population
Each make up the other, connection to cancer (mutations cause cancer cells to divide more rapidly than other cells (have greater fitness) which can increase in frequency and take over tissues (like natural selection in populations of cells), metastasis is like the founder effect where newly founded tumors/populations expected to have fewer alleles than older tumors and can determine the origin of the cancer from that)
Tumors evolving populations of cells
Mutations in previously normal cells that have unregulated division, higher fitness in unregulated division (reproduce quicker and take more space), idea of founder effect with metastasis - few cells from tumor move to other parts of body and grow there
Cancer cells
Analogous to deleterious mutations
Allelic diversity and tumor
Fewer mutations mean older and likely starter, can estimate age of tumor based on genetic diversity in tumor (# of different alleles for a given gene)
Lactose intolerance
Response to moderate diet, was a good source of nutrients and proteins in older societies, type of society, not enough time to evolve
High hypertension rates in African-Americans
Hypothesis 1: gradual selection for salt retention in historically hot environment (lower salt intake historically and salt lost through swearing in hot environments - slow selection, hot environments may have selected for kidneys with efficient salt retention - more likely to develop high boos pressure with moderate diet)
Hypothesis 2: strong selection during slave trade (potential for strong selection during salve trade - rapid selection, unbalance salt loss due to diarrhea, vomiting and sweating increase death rate)
Breast cancer in North American women
1/8 have breast cancer, may be related to high rates of menstrual cycling (more menstrual cycles = greater risk since post-ovulatory hormones stimulate cell division and there is a greater chance for cancer mutations), Dogon women of West Africa have a 1/12 risk, fewer contraceptives - pregnant and lactating more so fewer menstrual cycles