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Hepatocyte-intrinsic SMN deficiency drives metabolic dysfunction and liver steatosis in spinal muscular atrophy
Damien Meng-Kiat Leow, … , Basil T. Darras, Crystal J.J. Yeo
Damien Meng-Kiat Leow, … , Basil T. Darras, Crystal J.J. Yeo
Published May 9, 2024
Citation Information: J Clin Invest. 2024;134(12):e173702. https://doi.org/10.1172/JCI173702.
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Research Article Metabolism Neuroscience

Hepatocyte-intrinsic SMN deficiency drives metabolic dysfunction and liver steatosis in spinal muscular atrophy

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Abstract

Spinal muscular atrophy (SMA) is typically characterized as a motor neuron disease, but extraneuronal phenotypes are present in almost every organ in severely affected patients and animal models. Extraneuronal phenotypes were previously underappreciated, as patients with severe SMA phenotypes usually died in infancy; however, with current treatments for motor neurons increasing patient lifespan, impaired function of peripheral organs may develop into significant future comorbidities and lead to new treatment-modified phenotypes. Fatty liver is seen in SMA animal models, but generalizability to patients and whether this is due to hepatocyte-intrinsic survival motor neuron (SMN) protein deficiency and/or subsequent to skeletal muscle denervation is unknown. If liver pathology in SMA is SMN dependent and hepatocyte intrinsic, this suggests SMN-repleting therapies must target extraneuronal tissues and motor neurons for optimal patient outcome. Here, we showed that fatty liver is present in SMA patients and that SMA patient–specific induced pluripotent stem cell–derived hepatocyte-like cells were susceptible to steatosis. Using proteomics, functional studies, and CRISPR/Cas9 gene editing, we confirmed that fatty liver in SMA is a primary SMN-dependent hepatocyte-intrinsic liver defect associated with mitochondrial and other hepatic metabolism implications. These pathologies require monitoring and indicate the need for systematic clinical surveillance and additional and/or combinatorial therapies to ensure continued SMA patient health.

Authors

Damien Meng-Kiat Leow, Yang Kai Ng, Loo Chien Wang, Hiromi W.L. Koh, Tianyun Zhao, Zi Jian Khong, Tommaso Tabaglio, Gunaseelan Narayanan, Richard M. Giadone, Radoslaw M. Sobota, Shi-Yan Ng, Adrian Kee Keong Teo, Simon H. Parson, Lee L. Rubin, Wei-Yi Ong, Basil T. Darras, Crystal J.J. Yeo

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Figure 7

Day 24 SMA iHeps show dysregulation of genes implicated in gluconeogenesis and drug metabolism and critical proteins involved in mitochondrial electron transport chain and fatty acid oxidation.

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Day 24 SMA iHeps show dysregulation of genes implicated in gluconeogenes...
(A) RT-qPCR of gluconeogenesis pathway genes. For PCK2, one outlier from SMA1 was removed using the ROUT test with a maximum FDR of 1%. For G6Pase, one outlier from SMA3 and SMA1 was removed. (B) RT-qPCR of iHep function genes. (C) RT-qPCR of drug metabolism genes. For FMO1, one outlier from SMA1 was removed. In A–C, for all RT-qPCR, fold change results were derived using the comparative ΔΔCt method. (D) Flow cytometric analysis of critical proteins involved in mitochondrial electron transport chain (SDHB and MT-CO1) and fatty acid oxidation (HADHA), with correlation to SMN protein expression in day 24 SMA iHeps. MFI readings were obtained through the recording of 10,000 events followed by gating of the viable iHeps. In A–D, unless specifically indicated that outliers were removed, analysis of data from 3 independent experiments included 9 samples (n = 9) each for WT, SMA3, and SMA1 conditions. Similarly for analysis of data from 4 independent experiments, n = 12 for each condition. Data are presented as mean ± SD and were analyzed using 1-way ANOVA with Tukey’s multiple-comparison test. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

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