AQA AS Level Biology Paper 2, November 2020: Question 7
8 marks · Medium difficulty · Practical Techniques & Data Analysis
Explain how HIV affects antibody production and evaluate the effectiveness of a drug in treating AIDS using data from a graph.
Practise this questionQuestion
Question text
07.1 Explain how HIV affects the production of antibodies when AIDS develops in a person.
[3 marks]
07.2 A scientist measured the effect of a drug on the number of T cells and the number of
HIV particles in blood taken from a person with AIDS. The results are shown in
Figure 5.
Figure 5
Symptoms of AIDS occur when the number of T cells is below 200 cells mm−3
Use all of this information to evaluate the effectiveness of the drug in treating AIDS.
[5 marks]
Mark scheme
Show the mark scheme
Question Marking Guidance Mark Comments
07.1 1. Less/no antibody produced; 3 2. Accept ‘reduces
2. (Because HIV) destroys helper T cells; number’ for
‘destroys’
3. (So) few/no B cells activated / stimulated
OR
(So) few/no B cells undergo
mitosis/differentiate/form plasma cells;
07.2 Not effective in treating AIDS because 5 max Max 4 if not one of 9.
or 10.
1. Number of T cells < 200 at 4 months;
2. (So) drug is not effective
1 Accept 3.5 - 5
OR months
AIDS symptoms occur;
3. Does not remove (all) HIV (particles) 1. and 9. Reject
OR day/week only once
Number of HIV (fairly) constant/stable
OR
(Slight) increase in HIV (over 16 months);
4. No stats test;
5. Only shows (results over) 16 months;
6. Only one person;
7. Unknown side effects (of drug);
8. No control group;
Effective in treating AIDS because
9. Number of T cells > 200 after 5 months
OR
Number of T cells increasing after 4 months;
10. So drug is effective
9. Accept any month
OR after 5 months OR ‘in
AIDS symptoms relieved/removed; the long term’
TOTAL 8
How to answer it
HIV, AIDS, and Drug Treatment Evaluation
What this question tests
This question assesses your understanding of the immune response, specifically how the destruction of helper T cells by HIV impacts humoral immunity (antibody production). It also tests your data analysis and evaluation skills by asking you to interpret dual-axis graphical data regarding drug trials for AIDS treatment.
Explain how HIV affects the production of antibodies when AIDS develops in a person.
✅ Correct Answer Structure
- Point 1: Less or no antibody is produced.
- Point 2: Because HIV destroys helper T cells.
- Point 3: Therefore, few or no B cells are activated/stimulated (or few/no B cells undergo mitosis/differentiate into plasma cells).
💡 Key Knowledge
Helper T cells play a crucial coordinating role in the adaptive immune response. When antigen-presenting cells present antigens, helper T cells must stimulate B cells via cytokines and direct cell contact to trigger clonal expansion and differentiation into antibody-producing plasma cells.
🧠 Exam Technique
Ensure you show the logical chain of events: Virus destroys T cells → Lack of T cell stimulation → B cells fail to activate → Fewer/no antibodies produced. Missing out the intermediary step (B cell activation) often costs students marks.
❌ Common Errors
Students frequently lose marks by stating that HIV destroys B cells or plasma cells directly, or claiming that HIV destroys antibodies. Remember: HIV specifically targets and infects cells bearing CD4 receptors, primarily helper T cells.
Use all of this information to evaluate the effectiveness of the drug in treating AIDS.
✅ Correct Answer / Marking Points
Not effective because:
- T cell count drops below 200 cells per mm³ at month 4 (AIDS symptoms occur).
- Drug does not remove all HIV particles (levels remain fairly constant or slightly increase over 16 months).
- Methodological limitations: No statistical test, only 16 months of data, single test subject (only one person), unknown side effects, and no control group.
Effective because:
- T cell count rises above 200 cells per mm³ after 5 months (or increases after month 4).
- Shows long-term recovery/relief of AIDS symptoms as T cells recover.
💡 Key Knowledge & Data Interpretation
An evaluation question requires a balanced argument using both supporting and contradicting evidence from the provided graph, alongside scientific critique of the experimental design (sample size, controls, duration).
🧠 Exam Technique
To access top-level marks (Max 5), you must include at least one limitation regarding the study's design (e.g., no control group, only one person tested) alongside data points read directly from the graph. Look out for the constraint: "Max 4 marks if not one of points 9 or 10" (meaning you must balance both sides or include specific indicators of recovery).
❌ Common Errors
Confusing the two data lines on the dual-axis graph is a major trap. Always double-check which axis corresponds to T cells (left axis, scale up to 600) versus HIV particles (right axis, scale up to 120). Vague answers like "the drug works because cells go up" without citing specific months or threshold values (200 cells per mm³) will not gain credit.
Topics
Biology · Practical skills · 3.2 Cells · Data analysis
Question and mark scheme from the AQA AS Level Biology examination, Paper 2, November 2020. QuestionVault is an independent revision resource; questions remain the copyright of the awarding body.