ReviewJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2025
Vaccination versus natural infection: A review of antibody differentiation techniques.
Review in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The production of specific antibodies occurs in response to pathogens, whether encountered naturally or introduced through vaccination, serving as markers of immunity. As novel vaccines are developed and deployed, especially in response to emerging infectious diseases, the ability to distinguish between vaccine-induced and infection-induced antibodies becomes increasingly important. Vaccines are designed to mimic this natural infection process without causing the disease itself. Serological assays are critical tools in immunology, enabling researchers and clinicians to differentiate between antibodies produced by vaccination and those generated by natural infection. By understanding whether an individual's antibodies are the result of previous infection or vaccination, healthcare providers can modify booster recommendations more effectively. It also plays an important role in identifying people with hybrid immunity and in assessing the effectiveness of vaccination campaigns.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.