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Hepatocyte-intrinsic SMN deficiency drives metabolic dysfunction and liver steatosis in spinal muscular atrophy
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
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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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 11

Rescue of genes implicated in gluconeogenesis and drug metabolism and critical proteins involved in mitochondrial electron transport chain and fatty acid oxidation with SMN repletion in day 24 SMA type 1 iHeps.

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Rescue of genes implicated in gluconeogenesis and drug metabolism and cr...
(A) RT-qPCR of gluconeogenesis pathway genes. For G6Pase, one outlier from isogenic (Iso) carrier and 1 outlier from 1-38G was removed using the ROUT test with a maximum FDR of 1%. (B) RT-qPCR of iHep function genes. For ASGR2, one outlier from 1-38G was removed. For F2, one outlier from Iso WT was removed. For SERPINA1, one outlier from 1-38G was removed. (C) RT-qPCR of drug metabolism genes. For FMO3, one outlier from Iso carriers was removed. (A–C) For all RT-qPCR, fold change results were derived using the comparative ΔΔCt method. Data are from 3 to 4 independent experiments. Unless specifically indicated that outliers were removed, analysis of data from 3 independent experiments included 9 samples (n = 9) each for WT, Iso WT, and Iso carrier conditions. Similarly for analysis of data from 4 independent experiments, n = 12 for each condition. For 1-38G, n ≥ 4 for all experiments. (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. MFI was obtained by recording 10,000 events and viable iHeps were then gated for. Data are from 2 to 3 independent experiments. Analysis of data from 2 independent experiments included 9 samples (n = 6) each for WT, Iso WT, and Iso carrier conditions. Similarly for analysis of data from 3 independent experiments, n = 9 for each condition. For 1-38G, n ≥ 4 for all experiments. In A–D, 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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ISSN: 0021-9738 (print), 1558-8238 (online)

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