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Investigating Local Sequence-Structural Attributes of Amyloidogenic Light Chain Variable Domains.

Puneet Rawat1,2, R Prabakaran2,3, Divya Sharma2

  • 1University of Oslo and Oslo University Hospital, Oslo, Norway.

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|March 4, 2025
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Summary
This summary is machine-generated.

Researchers identified specific protein regions and gatekeeper residues that predict amyloid formation in antibody light chains, crucial for understanding light chain amyloidosis and designing new therapies.

Keywords:
AL amyloidosisaggregation‐prone regionsamyloidantibody aggregationantibody structurelight chain amyloidosisstructural gatekeepers

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Immunology

Background:

  • Light chain amyloidosis results from misfolded antibody light chains forming amyloid fibrils, leading to organ damage.
  • Predicting protein aggregation (amyloidogenesis) remains challenging despite understanding contributing factors.

Purpose of the Study:

  • To analyze antibody light chain sequences for factors influencing amyloid formation.
  • To identify structural features distinguishing amyloidogenic from non-amyloidogenic light chains.

Main Methods:

  • Analyzed 1828 antibody light chain variable region (VL) sequences from the AL-Base database.
  • Evaluated physicochemical properties and solvent-exposed aggregation-prone regions (APRs).
  • Identified and analyzed structural gatekeeper residues near APRs using specific solvent-accessible surface area (rASA) and distance cutoffs.

Main Results:

  • Physicochemical properties showed no consistent link to aggregation.
  • Amyloidogenic light chains had more frequent solvent-exposed APRs (2-15% difference) at optimal rASA cutoffs.
  • Non-amyloidogenic light chains more often possessed gatekeeper residues near APRs.
  • Lambda light chains showed more APRs and fewer gatekeepers, increasing aggregation risk.

Conclusions:

  • Solvent-exposed APRs and the presence/absence of gatekeeper residues are key predictors of light chain amyloidogenicity.
  • Optimal rASA cutoff is 35% for APRs and 4Å for gatekeeper residue identification.
  • Findings advance understanding of light chain amyloidosis pathogenesis and therapeutic antibody design.