Evidence map›Paper›PMID 41802717›Full record

ArticleJournal of inherited metabolic disease2026

Signal Peptide Engineering and Codon Optimization to Enhance α-Gal A Activity for rAAV Gene Therapy of Fabry Disease.

Siwu He, Li Yang, Ke Wan, Zhaoyue Zheng, Mi Leng, Chunmei Gan, Yu Liu, Lin Xiao, Jingya Ye, Zhian Chen and 6 more

Abstract read
In one paragraph

Article in Journal of inherited metabolic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Siwu HeNational Clinical Research Center for Geriatrics and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Li YangNational Clinical Research Center for Geriatrics and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Ke WanDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Zhaoyue ZhengSichuan Real & Best Biotech Co., Ltd., Chengdu, China.
Mi LengNational Clinical Research Center for Geriatrics and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Chunmei GanNational Clinical Research Center for Geriatrics and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Yu LiuNational Clinical Research Center for Geriatrics and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0001-7015-9357
Lin XiaoSichuan Real & Best Biotech Co., Ltd., Chengdu, China.
Jingya YeSichuan Real & Best Biotech Co., Ltd., Chengdu, China.
Zhian ChenNational Clinical Research Center for Geriatrics and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Jiao ZhouNational Clinical Research Center for Geriatrics and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
C Alexander ValenciaSichuan Real & Best Biotech Co., Ltd., Chengdu, China.
Aliah AbuammahCardiac Sciences Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Hoi Yee ChowNational Clinical Research Center for Geriatrics and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Biao DongNational Clinical Research Center for Geriatrics and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Yucheng ChenDepartment of Cardiology, Cardiac Imaging and Target Therapy Lab, West China Hospital, Sichuan University, Chengdu, China.

Funding

1·3·5 Project for Disciplines of Excellence, West China Hospital, Sichuan University ZYJC18013Key Research and Development Program of Sichuan Province 2024YFFK0024National Key Research and Development Program of China 2023YFC3403300Natural Science Foundation of Sichuan Province 2023NSFSC1639
6 · The paper itself

Abstract

Fabry disease is an X-linked lysosomal storage disorder caused by mutations in the GLA gene, leading to deficient α-galactosidase A (α-Gal A) activity and pathological accumulation of globotriaosylceramide (Gb3) and globotriaosylsphingosine (Lyso-Gb3) in various organs. To enhance α-Gal A expression and secretion for recombinant adeno-associated viral (rAAV) gene therapy, the signal peptide was engineered in HepG2 cells. Among 22 heterogeneous signal peptides, sp21 was identified and validated for this purpose. The enzyme activity of GLA with sp21 in conditioned media was 2.3 times higher than that with the wild-type signal peptide. Furthermore, the human GLA gene was codon optimized (hGLAco), aiming to achieve increased hepatic expression and prevent gene silencing. The secreted α-Gal A activity of hGLAco increased approximately 4-fold in vitro. Finally, the hGLAco transgene with sp21 driven by a liver-specific promoter was packaged in rAAV8 vectors and injected into Fabry mice. Compared with the wild-type cDNA, the engineered GLA gene resulted in a 6.9-fold increase in secreted α-Gal A activity in Fabry mice, and toxic Lyso-Gb3 accumulation in plasma and key tissues was effectively cleared. These findings demonstrate a promising strategy to develop a more efficient rAAV gene therapy for Fabry disease.

Indexed as

alpha-GalactosidaseCodonDependovirusFabry DiseaseGenetic TherapyProtein Sorting SignalsAnimalsGene Therapy AgentsGenetic VectorsHep G2 CellsHumansLiverMicealpha-GalactosidaseCodonGLA protein, humanProtein Sorting Signalscodon optimizationFabry diseasegene therapylysosomal storage diseaserecombinant adeno‐associated virussignal peptide

Identifiers

PMID41802717
PMCPMC12971190

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.