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Multimeric Insulin Desensitizes Insulin-Specific B Cells.

Stephanie N Johnson1, J Daniel Griffin1,2, Chrys Hulbert3

  • 1Department of Pharmaceutical Chemistry, University of Kansas, Lawrence, Kansas 66045, United States.

ACS Applied Bio Materials
|January 13, 2022
PubMed
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New polyethylene glycol-insulin (PEG-Ins) conjugates target and inactivate autoreactive B cells, offering a promising strategy for type 1 diabetes treatment without broad immunosuppression.

Keywords:
B cellanergyantigen-specificimmunotherapyinsulinmultivalenttype 1 diabetes

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Area of Science:

  • Immunology
  • Biotechnology
  • Endocrinology

Background:

  • Adaptive immunity drives type 1 diabetes pathogenesis.
  • B cell ablation shows therapeutic potential but carries risks of global immunosuppression, especially in children.
  • Targeted immunosuppression via multivalent antigen arrays can selectively engage and inactivate autoreactive B cells.

Purpose of the Study:

  • To design and characterize 4-arm polyethylene glycol-insulin (PEG-Ins) conjugates as multivalent arrays.
  • To evaluate the potential of PEG-Ins conjugates for targeted immunosuppression in type 1 diabetes.

Main Methods:

  • Selective modification of human insulin at the B29 residue to preserve antigenicity.
  • Conjugation of modified insulin to 20 kDa, 4-arm polyethylene glycol backbones.
  • Characterization using mass spectrometry, circular dichroism, and dynamic light scattering.
  • Ex vivo assessment of immunological effects on splenocytes with an anti-insulin B cell receptor.

Main Results:

  • Multivalent PEG-Ins constructs maintained insulin structure.
  • PEG-Ins conjugates inactivated B cells and induced an anergic phenotype, evidenced by downregulated B cell receptor expression (CD79b).
  • PEG-Ins conjugates did not trigger calcium mobilization upon B cell receptor stimulation.

Conclusions:

  • PEG-Ins conjugates effectively engage and inactivate autoreactive B cells ex vivo.
  • These findings support the investigation of PEG-Ins conjugates in preclinical type 1 diabetes models.