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DOI 10.1007/s10147-026-02961-z

Медицинская библиотека · International journal of clinical oncology · 2026

Lack of molecular mimicry between HPV vaccine L1 antigen and human proteins by a computational analysis.

Nishioka Kazuhiro, Sekiyama Kentaro, Shiro Reona, Tsunoda Ikuo, Matsumura Noriomi

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Аннотация

BACKGROUND

Although human papillomavirus (HPV) vaccines effectively prevent cervical cancer, the HPV vaccination rates in Japan remain low because of concerns about alleged neurological adverse events. Darja Kanduc proposed a flawed hypothesis that molecular mimicry between HPV and human proteins could induce cross-reactive antibodies, causing autoimmune organ damage, even when only the portions of amino acid (AA)-sequences of the epitopes were identical between HPV and human proteins.

METHODS

In this study, we conducted the same computational data analysis as Kanduc, using 22 linear epitopes (9-23 AA-length) of the HPV type 16 L1 protein (HPV16L1) registered in the database.

RESULTS

We found that no human epitopes had identical AA-sequences to any HPV16L1 epitopes, demonstrating that HPV16L1 had no molecular mimicry with linear epitopes that have the potential to induce cross-reactive autoantibodies. On the other hand, we identified various numbers of human protein epitopes whose AA-sequences were partially identical with epitopes of HPV16L1, hepatitis B virus (HBV), and respiratory syncytial virus (RSV). We found that HPV16L1 had a smaller number of such proteins having "partial molecular mimicry" than HBV and RSV.

CONCLUSIONS

Our current in silico analysis provided no evidence that HPV vaccinations could induce cross-reactive autoantibodies. The flawed molecular mimicry data should not be used as a scientific basis for alleged HPV vaccine-induced adverse events.

Для цитирования: Nishioka Kazuhiro, Sekiyama Kentaro, Shiro Reona, Tsunoda Ikuo, Matsumura Noriomi. Lack of molecular mimicry between HPV vaccine L1 antigen and human proteins by a computational analysis.. International journal of clinical oncology. 2026. DOI: 10.1007/s10147-026-02961-z.

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