Skip to content

Mechanistic Characterization of NABi as a Selective Inhibitor of SOD1G93A Aggregation: Structural Basis and Therapeutic Implications for ALS.

Aug 2026 · ACS Chemical Neuroscience · Vol 17 17, pp. 3156-3168 · 0 citations · 35 references
Medicine

TL;DR

These findings establish NABi as a promising therapeutic candidate for SOD1G93A-associated familial ALS, demonstrating its capacity to selectively target pathological protein conformations while preserving normal cellular function.

Abstract

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by the progressive loss of motor neurons, with familial ALS (fALS) frequently caused by mutations in Cu/Zn superoxide dismutase (SOD1). The G93A mutation, one of the most aggressive forms, promotes the formation of cytotoxic protein aggregates through cross-β-sheet structures, leading to neuronal dysfunction and death. In this study, we investigated the therapeutic potential of NABi (natural Aβ binder and Aβ-aggregation inhibitor), a stable small engineered protein composed of the N-terminal 90 amino acids of SOD1, originally developed to target amyloid-β aggregation in Alzheimer's disease. Given the shared β-sheet-rich aggregation mechanisms between amyloid-β and mutant SOD1 proteins, we hypothesized that NABi could serve as a dual-action therapeutic for both diseases. Through an integrated approach involving structural, biochemical, and cellular analyses, we demonstrate that NABi exhibits a 4-fold greater binding affinity for SOD1G93A compared to SOD1WT, selectively targeting the mutant protein via specific hydrophobic interactions. Structural modeling using AlphaFold2 reveals that the G93A mutation exposes hydrophobic residues that create an optimal binding interface for NABi. Functionally, NABi effectively inhibits SOD1G93A aggregation, as demonstrated by filter trap assays and immunofluorescence microscopy, while maintaining the protein in a soluble, nontoxic state. Importantly, coexpression of NABi reduces SOD1G93A-induced cytotoxicity by approximately 4-fold, significantly enhancing neuronal survival. These findings establish NABi as a promising therapeutic candidate for SOD1G93A-associated familial ALS, demonstrating its capacity to selectively target pathological protein conformations while preserving normal cellular function. Our results support the development of NABi as an innovative pan-therapeutic approach targeting shared aggregation pathways across multiple neurodegenerative diseases.

View source

Similar papers

Open access Jan 2026

The HDAC Inhibitor Butyrate Reduces SOD1 Aggregation and Improves Motor Function in C. elegans and Cellular Models of ALS

It is demonstrated that sodium butyrate (NaB), a histone deacetylase inhibitor and microbial metabolite, ameliorates ALS‐related phenotypes in C. elegans and mammalian cell models expressing mutant isoforms of Sod1 linked to ALS.

Fiona Dresel, Martin Michaelis, C. Gourlay · 0 citations
Open access Aug 2025

Development of an RNA aptamer as a therapeutic agent for synucleinopathies

The findings indicate that RNA aptamers, such as 1R6, may represent promising therapeutic candidates for synucleinopathies, thus opening new avenues in the treatment of these diseases.

K. Murakami, Thi Hong Van Nguyen, L. Tsuda et al. · 1 citation
Open access Jul 2026

BL-918 as a Novel Neuroprotective Agent Targeting SMP30 in Parkinson’s Disease: A Therapeutic Evaluation

It is suggested that BL-918 could potentially modulate SMP30 at the functional protein level, and SwissADME and ProTox 3.0 characterized BL-918 as a viable therapeutic lead, outlining key pharmacokinetic targets for future optimization.

Hardi M. Makwana, S. S. Swain, B. Paital et al. · 0 citations
Aug 2026

DFT analysis of gamma-secretase interactions with potential inhibitors: therapeutic for Alzheimer's disease.

In this study, molecular-level insights are provided into the interaction mechanisms of γ-secretase inhibitors, contributing to a better understanding of structure-energy relationships that are essential for the rational design of more selective and effective therapeutic agents for Alzheimers disease.

W. S. Clemente, K. S. Bezerra, E. Matias et al. · 0 citations

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.