Pear IgE

The Purkinje cell antibody (PCA) test is a vital diagnostic tool used to detect specific autoantibodies in the serum or cerebrospinal fluid (CSF) of patients, aiding in the diagnosis of paraneoplastic neurological disorders (PNDs). These disorders occur when the immune system mistakenly attacks the nervous system in response to cancer, often linked to ovarian, breast, and small-cell lung carcinomas. The test identifies two main types of autoantibodies: PCA-1 (anti-Yo), associated with gynecologic cancers and cerebellar degeneration, and PCA-2, linked to small-cell lung carcinoma. By detecting these autoantibodies, the PCA test helps uncover underlying malignancies that might not be evident through standard diagnostic methods. This early detection is crucial for managing neurological symptoms and initiating appropriate cancer treatment. The test employs indirect immunofluorescence assays, ensuring accurate identification of autoantibodies, and provides essential insights into the patient's immune response, guiding further clinical investigations and interventions.

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Price of test:£34

The lowest price from the last 30 days: £34

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Awaiting result:

One day

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Collect material:

Blood

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Prepare:

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Purpose of the test

The Purkinje cell antibody (PCA) test is essential for diagnosing paraneoplastic neurological disorders (PNDs) by detecting PCA-1 and PCA-2 autoantibodies. These antibodies are linked to cancers like ovarian, breast, and small-cell lung carcinomas. Key objectives include:

- Diagnosis: Identify PNDs by detecting PCA-1 (anti-Yo) and PCA-2 autoantibodies.
- Cancer Detection: Reveal underlying malignancies not visible through standard imaging.
- Clinical Management: Guide treatment decisions for neurological symptoms and associated cancers.
- Specimen Handling: Ensure proper collection and storage of serum and CSF samples for accurate results.

Who Should Get Tested

The Pear IgE serum test is essential for diagnosing pear allergies by detecting specific IgE antibodies. Key points include:

- Purpose: Identifies pear allergens causing allergic reactions, crucial for diagnosis and management.
- Methodology: Utilizes ImmunoCAP FEIA, involving serum collection, allergen binding, and fluorescence measurement.
- Interpretation:
- Positive: Indicates sensitization to pear.
- Negative: Suggests lower likelihood of sensitization.
- Clinical Relevance: Aids in allergy diagnosis, immunotherapy preparation, and managing allergic reactions.
- Specimen Handling: Proper storage and handling ensure accurate results.
- Turnaround: Results typically available in 2-4 days.

Blood Test Preparation Guidelines
Time of day
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It is recommended to schedule your appointment for blood tests in the morning hours between 7:00-10:00.
Fasting
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It is recommended to fast for approximately 12 hours before blood sampling. The last meal of the previous day should ideally be consumed around 6:00 p.m. On the day before the test, avoid heavy and fatty meals as well as alcohol.
Stay hydrated
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Drinking water prior to testing can help with sample collection.
Other factors
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Tests should not be performed after a sleepless night or intense physical activity. It is recommended to avoid exercise and stress immediately before blood collection and to not smoke. A short rest is recommended.
Medications and supplements:
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Blood samples should be collected before the morning dose. Some drugs can interfere with test results. Consult with your doctor whether you can delay your dose because of lab tests.
Biotin supplements:
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High doses of biotin supplements can affect test results, causing false elevation or reduction. It's recommended to avoid taking biotin for at least 72 hours before blood collection. If you are taking biotin, inform the personnel collecting the blood so that they can provide specific instructions.
Interpreting Test Results

Understanding test results for the Purkinje cell antibody (PCA) test is crucial for diagnosing paraneoplastic neurological disorders (PNDs). Here's a brief overview:

- Purpose: Identifies autoantibodies linked to neurological disorders triggered by cancers like ovarian, breast, and small-cell lung carcinomas.
- Types: PCA-1 (anti-Yo) and PCA-2.
- Clinical Significance: Presence of PCA-1 or PCA-2 suggests an immune response to specific cancers.
- Diagnostic Steps:
1. Initial screening with serum or CSF samples.
2. Reflex testing for specific autoantibody type.
3. Interpretation in context of symptoms and cancer risk factors.

Price of test:£34

The lowest price from the last 30 days: £34

AI-Powered Insights and Expert Validation
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Diagu's AI system represents a breakthrough in medical test analysis, employing state-of-the-art algorithms meticulously trained on a vast spectrum of authoritative medical literature and data. This system intricately analyses laboratory test results, extracting nuanced insights that might elude conventional methods. Our AI delves into complex interrelations between various health markers, offering a comprehensive understanding that supports accurate diagnosis and effective treatment planning. The foundation of our AI's analytical prowess lies in its extensive training, encompassing data from globally recognised medical journals, trusted healthcare databases, and breakthrough scientific studies. This ensures that every analysis is grounded in the latest and most comprehensive medical knowledge.
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While our AI provides deep analytical insights, the human touch remains indispensable. Every AI-generated interpretation is meticulously reviewed by experienced medical professionals, ensuring a harmonious blend of advanced technology and expert clinical judgment. This dual-layer approach guarantees that the insights provided are not only technologically sophisticated but also clinically relevant. Our medical experts ensure that the AI's interpretations align with current medical standards and practices, adding a layer of validation that only seasoned healthcare professionals can provide. This process reinforces the reliability of the test results, offering peace of mind to both patients and healthcare providers.
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At the core of Diagu's AI system is an advanced language model, engineered to transform complex medical data into clear, comprehensible, and informative descriptions. This model is adept at articulating detailed test analyses in a way that is accessible to both healthcare professionals and patients. The model's development involved the meticulous processing of high-quality sources, including reputable medical websites, renowned medical textbooks, and peer-reviewed research papers. This ensures that the language used in test descriptions is not only accurate and informative but also up-to-date with the latest medical findings and trends. By leveraging this rich tapestry of trusted sources, our AI system provides a deeper understanding of each test, fostering informed decision-making and enhanced patient care.
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