Pathological Mutations D169G and P112H Electrostatically Aggravate the Amyloidogenicity of the Functional Domain of TDP-43.

ACS Chem Neurosci

Physical and Materials Chemistry Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India.

Published: December 2024

AI Article Synopsis

  • TDP-43 aggregation is linked to neurodegenerative diseases like ALS, with specific mutations (D169G and P112H) affecting its stability and aggregation.
  • The P112H mutant exhibits higher chemical stability at physiological pH but forms amyloid fibrils more rapidly at low pH compared to TDP-43 and D169G.
  • This study combines experimental and simulation techniques to reveal how the mutations influence the conformational changes and aggregation process of TDP-43, highlighting the role of ionic strength and charge in the aggregation behavior.

Article Abstract

Aggregation of TDP-43 is linked to the pathogenesis of many neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS). Notably, electrostatic point mutations such as D169G and P112H, located within the highly conserved functional tandem RNA recognition motif (RRM) domains of the TDP-43 protein (TDP-43), have been identified in diseased patients as well. In this study, we address how the electrostatic mutations alter both the native state stability and aggregation propensity of TDP-43. The mutants D169G and P112H show increased chemical stability compared to the TDP-43 at physiological pH. However, at low pH, both the mutants undergo a conformational change to form amyloid-like fibrils, though with variable rates─the P112H mutant being substantially faster than the other two sequences (TDP-43 and D169G mutant) showing comparable rates. Moreover, among the three sequences, only the P112H mutant undergoes a strong ionic strength-dependent aggregability trend. These observations signify the substantial contribution of the excess charge of the P112H mutant to its unique aggregation process. Complementary simulated observables with atomistic resolution assign the experimentally observed sequence-, pH-, and ionic strength-dependent aggregability pattern to the degree of thermal lability of the mutation site-containing RRM1 domain and its extent of dynamical anticorrelation with the RRM2 domain whose combination eventually dictate the extent of generation of aggregation-prone partially unfolded conformational ensembles. Our choice of a specific charge-modulated pathogenic mutation-based experiment-simulation-combination approach unravels the otherwise hidden residue-wise contribution to the individual steps of this extremely complicated multistep aggregation process.

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Source
http://dx.doi.org/10.1021/acschemneuro.4c00372DOI Listing

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