# Network Hypoactivity in ALG13-CDG: Disrupted Developmental Pathways and E/I Imbalance as Early Drivers of Neurological Features in CDG

**Authors:** Rameen Shah, Rohit Budhraja, Silvia Radenkovic, Graeme Preston, Alexia Tyler King, Sahar Sabry, Charlotte Bleukx, Ibrahim Shammas, Lyndsay Young, Jisha Chandran, Seul Kee Byeon, Ronald Hrstka, Doughlas Y. Smith, Nathan P. Staff, Richard Drake, Steven A. Sloan, Akhilesh Pandey, Eva Morava, Tamas Kozicz

PMC · DOI: 10.3390/cells15020147 · Cells · 2026-01-14

## TL;DR

This study shows that ALG13-CDG causes brain hypoglycosylation, leading to disrupted neural development and network instability, which may explain neurological symptoms like seizures.

## Contribution

The study is the first to use human cortical organoids to reveal early network hypoactivity and E/I imbalance in ALG13-CDG.

## Key findings

- ALG13-CDG leads to reduced glycosylation of proteins involved in neuronal migration and excitability.
- Early network hypoactivity and mistimed neuronal maturation contribute to E/I imbalance in ALG13-CDG.
- Altered lipid metabolism and skewed X-inactivation are observed in ALG13-CDG cortical organoids.

## Abstract

Background: ALG13-CDG is an X-linked N-linked glycosylation disorder caused by pathogenic variants in the glycosyltransferase ALG13, leading to severe neurological manifestations. Despite the clear CNS involvement, the impact of ALG13 dysfunction on human brain glycosylation and neurodevelopment remains unknown. We hypothesize that ALG13-CDG causes brain-specific hypoglycosylation that disrupts neurodevelopmental pathways and contributes directly to cortical network dysfunction. Methods: We generated iPSC-derived human cortical organoids (hCOs) from individuals with ALG13-CDG to define the impact of hypoglycosylation on cortical development and function. Electrophysiological activity was assessed using MEA recordings and integrated with multiomic profiling, including scRNA-seq, proteomics, glycoproteomics, N-glycan imaging, lipidomics, and metabolomics. X-inactivation status was evaluated in both iPSCs and hCOs. Results: ALG13-CDG hCOs showed reduced glycosylation of proteins involved in ECM organization, neuronal migration, lipid metabolism, calcium homeostasis, and neuronal excitability. These pathway disruptions were supported by proteomic and scRNA-seq data and included altered intercellular communication. Trajectory analyses revealed mistimed neuronal maturation with early inhibitory and delayed excitatory development, indicating an E/I imbalance. MEA recordings demonstrated early network hypoactivity with reduced firing rates, immature burst structure, and shortened axonal projections, while transcriptomic and proteomic signatures suggested emerging hyperexcitability. Altered lipid and GlcNAc metabolism, along with skewed X-inactivation, were also observed. Conclusions: Our study reveals that ALG13-CDG is a disorder of brain-specific hypoglycosylation that disrupts key neurodevelopmental pathways and destabilizes cortical network function. Through integrated multiomic and functional analyses, we identify early network hypoactivity, mistimed neuronal maturation, and evolving E/I imbalance that progresses to compensatory hyperexcitability, providing a mechanistic basis for seizure vulnerability. These findings redefine ALG13-CDG as disorders of cortical network instability, offering a new framework for targeted therapeutic intervention.

## Linked entities

- **Genes:** ALG13 (ALG13 UDP-N-acetylglucosaminyltransferase subunit) [NCBI Gene 79868]
- **Diseases:** ALG13-CDG (MONDO:0010472)

## Full-text entities

- **Genes:** ALG13 (ALG13 UDP-N-acetylglucosaminyltransferase subunit) [NCBI Gene 79868] {aka CDG1S, CXorf45, DEE36, EIEE36, GLT28D1, MDS031}
- **Diseases:** seizure (MESH:D012640), X-linked N-linked glycosylation disorder (MESH:D040181), CDG (MESH:C567859)
- **Chemicals:** N-glycan (-), lipid (MESH:D008055), calcium (MESH:D002118)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12839988/full.md

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12839988/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12839988/full.md

---
Source: https://tomesphere.com/paper/PMC12839988