» Articles » PMID: 38395906

Lithium Response in Bipolar Disorder is Associated with Focal Adhesion and PI3K-Akt Networks: a Multi-omics Replication Study

Overview
Date 2024 Feb 23
PMID 38395906
Authors
Affiliations
Soon will be listed here.
Abstract

Lithium is the gold standard treatment for bipolar disorder (BD). However, its mechanism of action is incompletely understood, and prediction of treatment outcomes is limited. In our previous multi-omics study of the Pharmacogenomics of Bipolar Disorder (PGBD) sample combining transcriptomic and genomic data, we found that focal adhesion, the extracellular matrix (ECM), and PI3K-Akt signaling networks were associated with response to lithium. In this study, we replicated the results of our previous study using network propagation methods in a genome-wide association study of an independent sample of 2039 patients from the International Consortium on Lithium Genetics (ConLiGen) study. We identified functional enrichment in focal adhesion and PI3K-Akt pathways, but we did not find an association with the ECM pathway. Our results suggest that deficits in the neuronal growth cone and PI3K-Akt signaling, but not in ECM proteins, may influence response to lithium in BD.

Citing Articles

The Potential of Using Screening Tools for Bipolar Disorder to Predict Lithium Response.

Janiri D, Pinto M, Montanari S, Marzo E, Sfratta G, Donofrio G Pharmaceuticals (Basel). 2025; 18(2).

PMID: 40006081 PMC: 11859749. DOI: 10.3390/ph18020269.


Pharmacogenomics and response to lithium in bipolar disorder.

Paribello P, Isayeva U, Pisanu C, Squassina A, Manchia M Pharmacogenomics. 2025; 25(16-18):689-706.

PMID: 39998910 PMC: 11901374. DOI: 10.1080/14622416.2025.2470605.


Converging evidence for functional connections between the lithium response and PI3K-Akt signaling.

Dwyer D Transl Psychiatry. 2024; 14(1):458.

PMID: 39487122 PMC: 11530542. DOI: 10.1038/s41398-024-03160-y.


Identification of significant biomarkers for predicting the risk of bipolar disorder with arteriosclerosis based on integrative bioinformatics and machine learning.

Zheng X, Zhang X, Zhang Y, Chen C, Ji E Front Psychiatry. 2024; 15:1392437.

PMID: 39290304 PMC: 11405317. DOI: 10.3389/fpsyt.2024.1392437.


Navigating the Neuroimmunomodulation Frontier: Pioneering Approaches and Promising Horizons-A Comprehensive Review.

Krsek A, Ostojic L, Zivalj D, Baticic L Int J Mol Sci. 2024; 25(17).

PMID: 39273641 PMC: 11396210. DOI: 10.3390/ijms25179695.


References
1.
Papiol S, Schulze T, Heilbronner U . Lithium response in bipolar disorder: Genetics, genomics, and beyond. Neurosci Lett. 2022; 785:136786. DOI: 10.1016/j.neulet.2022.136786. View

2.
Talari K, Goyal M . Retrospective studies - utility and caveats. J R Coll Physicians Edinb. 2021; 50(4):398-402. DOI: 10.4997/JRCPE.2020.409. View

3.
Wu C . Focal adhesion: a focal point in current cell biology and molecular medicine. Cell Adh Migr. 2009; 1(1):13-8. PMC: 2633675. DOI: 10.4161/cam.1.1.4081. View

4.
Zhao W, Tobe B, Udeshi N, Xuan L, Pernia C, Zolg D . Discovery of suppressors of CRMP2 phosphorylation reveals compounds that mimic the behavioral effects of lithium on amphetamine-induced hyperlocomotion. Transl Psychiatry. 2020; 10(1):76. PMC: 7039883. DOI: 10.1038/s41398-020-0753-6. View

5.
Maletic V, Raison C . Integrated neurobiology of bipolar disorder. Front Psychiatry. 2014; 5:98. PMC: 4142322. DOI: 10.3389/fpsyt.2014.00098. View