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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 9

Rescue of metabolic dysfunction with SMN repletion in day 24 SMA type 1 iHeps.

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Rescue of metabolic dysfunction with SMN repletion in day 24 SMA type 1 ...
(A–D) Cellular assays in day 24 iHeps. (A) intracellular ATP (WT n = 9, isogenic [Iso] WT n = 9, Iso carriers n = 9, 1-38G n = 4). (B) Cellular metabolic activity by MTT assay (WT n = 9, Iso. WT n = 9, Iso carriers n = 9, 1-38G n = 4). (C) Mitochondrial membrane potential (MMP) by TMRM assay (WT n = 9, Iso WT n = 9, Iso carriers n = 9, 1-38G n = 6). (D) Mitochondrial ROS levels by MitoSOX assay (WT n = 9, Iso. WT n = 9, Iso carriers n = 9, 1-38G n = 5). Data in A–D are from 3 independent experiments. WT, Iso WT, and Iso arriers have 3 biological replicates each. (E) Intracellular cytosolic calcium levels by Fluo-4 AM assay. Data are from 2 independent experiments (WT n = 6, Iso. WT n = 6, Iso carriers n = 6, 1-38G n = 4). In C–E, MFIs for TMRM, MitoSOX, and Fluo-4 AM assays were obtained using flow cytometry, where 10,000 events were recorded, and the viable cells were then gated. In A–E, all results were quantified as a percentage relative to the mean of the WTs. Data were analyzed using 1-way ANOVA with Tukey’s multiple-comparison test and are presented as mean ± SD. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

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