Dynamic tracking analysis of monoclonal antibodies (mAbs) biotransformation in vivo is crucial, as certain modifications could inactivate the protein and reduce drug efficacy. However, a particular challenge (i.e. immune recognition deficiencies) in biotransformation studies may arise when modifications occur at the paratope recognized by the antigen. To address this limitation, a multi-epitope affinity technology utilizing the metal organic framework (MOF)@Au@peptide@aptamer composite material was proposed and developed by simultaneously immobilizing complementarity determining region (CDR) mimotope peptide (HH24) and non-CDR mimotope aptamer (CH1S-6T) onto the surface of MOF@Au nanocomposite. Comparative studies demonstrated that MOF@Au@peptide@aptamer exhibited significantly enhanced enrichment capabilities for trastuzumab variants in comparison to mono-epitope affinity technology. Moreover, the higher deamidation ratio for LC-Asn-30 and isomerization ratio for HC-Asn-55 can only be monitored by the novel bioanalytical platform based on MOF@Au@peptide@aptamer and liquid chromatography-quadrupole time of flight-mass spectrometry (LC-QTOF-MS). Therefore, multi-epitope affinity technology could effectively overcome the biases of traditional affinity materials for key sites modification analysis of mAb. Particularly, the novel bioanalytical platform can be successfully used for the tracking analysis of trastuzumab modifications in different biological fluids. Compared to the spiked phosphate buffer (PB) model, faster modification trends were monitored in the spiked serum and patients' sera due to the catalytic effect of plasma proteins and relevant proteases. Differences in peptide modification levels of trastuzumab in patients' sera were also monitored. In summary, the novel bioanalytical platform based on the multi-epitope affinity technology holds great potentials for in vivo biotransformation analysis of mAb, contributing to improved understanding and paving the way for future research and clinical applications.

The elements of the teaching system driven by the "Internet +" era are undergoing fundamental changes . Intelligent teaching platform is gradually becoming an important guarantee of the reform of teaching system elements for educators while they are teaching. With the support of intelligent teaching platform, the elements of teaching system break through the limitation of classroom teaching, the traditional structure of teacher-centered is disintegrating, the individual roles of teachers and students are being reconstructed , the teaching content is greatly enriched , and the function of teaching media is becoming more and more intelligent. This thesis, which will take the learning support function of the WeChat Public Platform of "Medical History" as an example by drawing lessons from the reversed classroom teaching mode, carries out the mixed teaching model of Chinese Medical History course by three stages: pre-class autonomous learning, in-class knowledge perfection and after-class knowledge transfer. It will elaborate its overall influence on the elements of the teaching system of Chinese Medical History and its important technical support for the reform of classroom teaching structure.

AIM: To determine whether the high mobility group protein I (HMGI) is able to bind to the upstream sequence of platelet-derived growth factor B-chain gene and to characterize the HMGI-binding AT-rich regions. METHODS: Recombinant human HMGI (rhHMGI) protein was prepared and electrophoresis mobility shift assay (EMSA) was used. RESULTS: The binding of rhHMGI to PDGF-B (-1 758 / +43 bp) was observed in vitro. Two major HMGI-binding fragments -1 392 / -1 180 bp and -188 / +43 bp were identified, which contained the same AT-rich sequence TTTATAAA (-1 333 / -1 326 bp, -1 314 / -1 307 bp and -30 / -23 bp). An oligonucleotide bound to the TTTATAAA and the GAGACC, the core sequence of the shear stress response element of the PDGF-B, could also bind to the HMGI. Furthermore, HMGI facilitated the binding of NF-?B to the GAGACC in the oligonucleotide. CONCLUSION: The HMGI could bind to the upstream sequence of the PDGF-B gene via the AT-rich sequence TTTATAAA, which may play a role in the transcriptional regulation of the PDGF-B gene.