Abstract
Spinal muscular atrophy (SMA) is characterized by motor neuron degeneration caused by deficiency of the
survival motor neuron (SMN) protein. However, evidence increasingly supports broader systemic involvement.
This study aimed to examine cardiac pathology in SMA patients and to investigate how reduced SMN levels
impact cardiomyocyte homeostasis. We analyzed postmortem data from 14 SMA type I patients from the pre-
treatment era, integrating gross anatomical, histopathological, and clinical findings. To investigate cardiomyocyte-
intrinsic effects of SMN deficiency, healthy human cardiomyocytes were subjected to SMN knockdown and
assessed using metabolic assays and transcriptomic profiling. Key findings were further investigated in vivo using
the Smn
2B/− mouse model of SMA. We found heterogeneous cardiac involvement in SMA patients, including
cardiomegaly, variable fat deposition and interstitial fibrosis. SMN knockdown in human cardiomyocytes induced
a metabolic shift and widespread transcriptional dysregulation, with pathway analyses identifying selective
upregulation of PTEN signaling. Elevated PTEN protein levels were observed in a subset of human SMA hearts
and in early postnatal hearts of Smn
2B/− mice. Our results demonstrate that the heart remains a biologically
relevant target of SMN deficiency and highlights cardiomyocyte-specific metabolic and PTEN signaling alterations
as potential contributors to cardiac involvement in SMA.
Keywords
neuromuscular diseases; heart; cardiac pathology; metabolism; SMA
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Introduction
Spinal Muscular Atrophy (SMA) is a genetic neuromuscular disorder marked by progressive motor neuron
degeneration resulting in muscle weakness and atrophy. Mutations in the SMN1 gene lead to low levels of the
Survival Motor Neuron (SMN) protein, which is essential not only for motor neuron health but also for critical
cellular functions in various tissues1. SMN protein supports mRNA regulation, cytoskeletal dynamics, and cellular
stress response—processes vital for many cell types, including cardiac cells. While SMA’s hallmark is motor
neuron degeneration, recent studies suggest that SMN deficiency may also impact cardiac health, with SMA
patients showing an increased incidence of arrhythmias, conduction defects, structural cardiac abnormalities, and
cardiomyopathy
2. Supporting this concept, preclinical studies demonstrate that reduced SMN level disrupt cardiac
contractility and calcium handling in model systems, indicating a mechanistic basis for cardiac dysfunction 3. This
potential cardiac involvement highlights the importance of studying cardiac pathology in SMA as part of
understanding the disease’s systemic burden4.
In recent years, new therapies have transformed SMA patient outcomes. For instance, nusinersen (Spinraza), is
administered via intrathecal injections and works by modifying the splicing of SMN2 to increase SMN protein
production5. Onasemnogene abeparvovec (Zolgensma), a one-time intravenous gene therapy targeted to
neonates and young children, is designed to deliver a functional copy of the SMN1 gene to increase SMN protein
production throughout the body 6. Risdiplam (Evrysdi), an oral SMN2 splicing modifier, increases SMN protein
levels with broad distribution 7. These therapies have dramatically improved motor function, slowed disease
progression, and extended life expectancy for SMA patients, transforming SMA from a disease with high infant
mortality into a manageable chronic condition for many. However, as patients live longer, they may develop
complications outside of motor function, such as cardiac issues, which current therapies were not specifically
designed to address. This makes it increasingly important to study cardiac health in SMA, ensuring that evolving
therapeutic approaches address the full spectrum of potential central nervous system and periphery for patients
with SMA.
Our study investigates heart pathology in SMA and examines how SMN deficiency specifically affects the function
of human cardiomyocytes. By examining autopsy reports and cardiac tissues from patients with SMA and
supplementing data from cellular and mice experiments, we explore the extent of cardiac involvement in severely
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affected SMA patients and identify potential biomarkers for cardiac stress related to SMN deficiency. This
approach may help elucidate the contribution of SMN deficiency to cardiac function and inform future strategies to
monitor the disease’s broader impact on patient health.
Results
Postmortem Analysis Identifies Variable Cardiac Involvement in SMA Patients
To assess cardiac abnormalities in the patients with SMA, we analyzed postmortem cardiac tissue from 14
pediatric patients with SMA type
/i1 1 who underwent comprehensive or focused clinical and/or research autopsy
(Table/i11). Consistent with advanced disease in the pre-treatment era, systemic complications were common.
Clinically evident cardiovascular dysfunction including pulmonary hypertension, acute and chronic heart failure,
and intermittent cardiac arrhythmia in the setting of systemic illness (bradycardia, bundle branch block and
ventricular tachycardia), was present prior to death in a subset of patients, indicating that cardiac abnormalities
contributed to disease burden. Among the 12 patients with full autopsies, comprehensive cardiac and systemic
findings are summarized in Tables
/i12, 3 and 4 . Case level review revealed substantial heterogeneity in cardiac
involvement at autopsy. While most hearts appeared grossly normal, three patients exhibited increased heart
mass relative to age matched expectations (i.e., cardiomegaly) and left ventricular wall thickness showed modest
variability without a consistent pattern of concentric hypertrophy. In one severely affected 10 years 9 month old
patient, fatty replacement of ventricular tissue was grossly evident and more significantly affected the right
ventricle, in a pattern similar to that seen with arrhythmogenic right ventricular cardiomyopathy. Other grossly
evident findings in a single patient each included right ventricular dilatation and prior surgical repair of congenital
coarctation of the aorta ( Tables 2 and 3 ). These cases variably co-occurred with pericardial effusion, pulmonary
hypertension, or heart failure and spanned a range of ages and body weights, indicating that increased cardiac
mass was not simply proportional to somatic growth (Tables 2 and
/i14, Figure/i1S1A).
At the microscopic level, recurrent but subtle myocardial abnormalities including perivascular fat and variable
interstitial fibrosis were present even in hearts classified as structurally normal ( Figure 1A-F, Figure/i1S1B-E).
Among the 12 SMA hearts with complete microscopic examination, mild interstitial fibrosis was present in 7/12
(58%) and excess perivascular or intracardiac fat deposition in 7/12 (58%), with one case showing fat significantly
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infiltrating both cardiac ventricles ( Table 2 ). It is important to note that mild and patchy perivascular and
intracardiac fat can occur in children who are inactive, while our control group was made up entirely of apparently
normally active infants or children prior to their deaths.
Collectively, these data indicate that although overt cardiac pathology is not universal in untreated SMA type /i1 1
patients, a subset exhibit increased cardiac mass and more subtle myocardial changes consistent with metabolic
dysfunction and cardiac remodeling. These observations align with prior reports describing heterogeneous but
meaningful cardiac involvement in severe, early-onset SMA and support the concept that the heart is a clinically
relevant secondary organ impacted by SMN deficiency
8,9.
SMN Knockdown Induces Metabolic and Transcriptional Alterations in Human Cardiomyocytes
To investigate whether reduced SMN levels directly alter cardiomyocyte homeostasis, we used healthy human
cardiomyocytes transduced with an AAV2 vector expressing siSMN to achieve targeted SMN knockdown (Figure
2A). We first assessed cellular bioenergetics using Seahorse metabolic flux assays to quantify oxygen
consumption rate (OCR), extracellular acidification rate (ECAR), and estimate total ATP production ( Figure 2A).
Cardiomyocytes with decreased SMN levels exhibited a modest but consistent increase in baseline OCR
accompanied by a reduction in ECAR, indicating a shift in basal metabolic activity ( Figure 2B-C). Despite these
changes, total ATP production remained unchanged following SMN depletion ( Figure 2D ). Analysis of ATP
source contribution revealed increased mitochondrial ATP production with a corresponding decrease in glycolytic
ATP generation, suggesting a redistribution of metabolic reliance toward oxidative phosphorylation at baseline.
Although the functional consequences of this shift remain unclear, these findings are consistent with altered
metabolic homeostasis and may reflect an intrinsic mitochondrial stress response that is compensated by reduced
glycolytic contribution.
To further define molecular pathways affected by SMN depletion, we performed gene expression microarray
analysis comparing SMN knockdown cardiomyocytes with control cells (Figure 2A). This analysis identified more
than 1,000 differentially expressed genes, with the majority showing downregulation following SMN reduction
(Figure 2E-F and Table S2 ). Pathway enrichment analysis revealed several significantly altered signaling
networks, including HGF, Reelin, IL-3, PI3K, and PTEN signaling pathways (Figure 2G and Figure S2). Notably,
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PTEN signaling was the only pathway exhibiting a positive activation score, suggesting relative upregulation in
response to SMN knockdown (Figure 2G).
To determine whether these transcriptional effects were specific to cardiomyocytes, we performed parallel SMN
knockdown experiments in human myotubes as a model of skeletal muscle (Figure S3A). Although efficient SMN
depletion was achieved, gene expression analysis revealed minimal transcriptional changes compared to
controls, with no robust pathway-level alterations detected ( Figure S3 and Table S3 ). This contrast highlights
differential cellular sensitivity to SMN loss and suggests that myotubes may not be particularly vulnerable to SMN-
dependent metabolic and transcriptional dysregulation to the same extent observed in cardiomyocytes.
PTEN Dysregulation in a Subset of Human SMA Hearts and Early-Stage SMA Mice
Motivated by the identification of PTEN signaling as an upregulated pathway in SMN-depleted cardiomyocytes,
we next examined PTEN protein levels in available human SMA heart autopsy samples that could be fresh-frozen
and analyzed by immunoblot. While PTEN expression was not uniformly elevated across all cases, a subset of
SMA hearts showed clearly increased PTEN levels compared with age-matched healthy control autopsies
(Figure 3A-B). Specifically, among seven SMA cardiac samples analyzed, three exhibited clear PTEN elevation
that was not observed in controls, with the most notable increases observed in the youngest (4 months old) and
oldest (16 years old) patients in this cohort ( Figure 3A-B). These findings suggest inter-individual variability in
PTEN regulation in human SMA hearts but provide direct evidence that PTEN upregulation occurs in a subset of
patients.
To further assess whether PTEN dysregulation is associated with SMN deficiency in vivo, we analyzed cardiac
tissue from the Smn
2B/- mouse model of SMA, which exhibits systemic disease manifestations during progression
(Figure 3C). We first confirmed reduced SMN protein levels in the hearts of Smn2B/- mice at postnatal day 9 (P9),
corresponding to an early disease stage, and at postnatal day 19 (P19), when mice are more symptomatic
(Figure 3C-F). Consistent with disease progression, SMN expression was higher at P9 and declined by P19. We
then assessed PTEN protein levels in these same cardiac samples across developmental stages (Figure 3G-I).
PTEN levels were modestly but consistently increased in Smn2B/- hearts at the P9 stage compared with littermate
controls, whereas no significant difference in PTEN expression was observed at P19 (Figure 3G-I). This temporal
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pattern suggests that PTEN upregulation is most prominent during early postnatal stages, when SMN levels are
relatively higher and play a critical role in cardiac development. Over time, as SMN expression declines and
developmental programs mature, PTEN levels appear to normalize. These findings support a model in which
SMN deficiency is associated with stage-dependent PTEN dysregulation in the heart, with early developmental
windows appearing particularly sensitive to SMN-dependent signaling perturbations.
Discussion
In this study our multi-level dataset—spanning human postmortem hearts, SMN-deficient human cardiomyocytes,
and an SMA mouse model—demonstrates that the heart remains a critical, biologically relevant target of SMN
deficiency. Here, we provide the first detailed description of gross and microscopic cardiac pathology at autopsy
for a cohort of type 1 patients. Our data support heterogeneous cardiac involvement in patients as well as
intrinsic, stage-dependent cardiac vulnerability to SMN loss in SMA. It is important to note that in most of the
postmortem hearts from the SMA patients examined, microscopic abnormalities were mild and overlap with those
observed in children with prolonged inactivity related to chronic medical conditions. It is impossible to know how
much the profound immobility in this severely affected early infantile onset SMA cohort impacted our observations
since prior detailed microscopic cardiac pathologic examinations in genetically proven SMA type 1 patients have
not been previously published. The reported clinical and gross pathologic features in our cohort align with prior
clinical observations and systematic reviews reporting a range of abnormalities including congenital structural
abnormalities such as septal defects and outflow-tract abnormalities and arrythmias in SMA type 0 and type 1
patients
10, alterations in left ventricular strain in children with later onset SMA 11, and ECG abnormalities,
arrythmias and altered cardiac function in later onset SMA patients.2,12
Cardiomyocyte SMN knockdown produced a compensatory metabolic shift rather than ATP failure, characterized
by increased baseline oxidative phosphorylation and reduced glycolytic contribution without altering total ATP
production. These findings complement recent work in SMA mouse models showing disrupted cardiac fatty acid
metabolism and altered mitochondrial function associated with functional cardiac impairment
3 as well as reports of
electrical changes (e.g., bradycardia, deep Q waves) in patients, supporting a spectrum from subclinical
remodeling to clinically apparent disease. PTEN activation emerged as a shared SMN-sensitive pathway and was
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elevated in early postnatal hearts, consistent with developmental sensitivity and with reports that PTEN
suppression mitigates SMA severity in mice 13,14. Importantly, our data extend these reports by coupling human
autopsy findings with mechanistic analyses, supporting the concept that cardiac involvement in SMA also reflects
intrinsic tissue vulnerability rather than solely secondary effects of neuromuscular failure 15, which are obviously
also present.
This pattern suggests a compensatory redistribution of energy metabolism rather than overt bioenergetic failure,
consistent with an early or subclinical stress response. Together with prior reports of impaired calcium handling
and SERCA2 dysregulation in SMA cardiomyocytes derived from mice and patient iPSCs, our results reinforce
the notion that SMN deficiency affects multiple interconnected pathways that are essential for cardiomyocyte
function.
A key finding of our transcriptomic analyses was the identification of PTEN signaling as the main pathway with
predicted activation following SMN knockdown in human cardiomyocytes. This observation is notable in light of
prior studies implicating PTEN as a disease modifier in SMA. Godena and Ning (2017) proposed PTEN as a
therapeutic target in SMA based on its role in regulating neuronal survival and growth, and Little et al. (2015)
demonstrated that PTEN depletion ameliorates disease severity and modestly prolongs survival in SMA mouse
models
13,14. Our data extend this framework to the heart, showing that PTEN upregulation occurs in a subset of
human SMA cardiac tissues and is recapitulated in early postnatal stages in the Smn2B/− mouse heart. These
findings suggest that PTEN dysregulation may represent a shared SMN-sensitive pathway across tissues, while
also highlighting important temporal and tissue-specific differences in PTEN regulation.
The stage-dependent nature of PTEN upregulation observed in SMA mouse hearts is particularly informative.
PTEN elevation was evident at early postnatal stages (P9), when SMN expression is relatively high and cardiac
developmental programs are still active, but not at later symptomatic stages (P19), when SMN levels decline and
PTEN expression normalizes. This temporal pattern suggests that SMN deficiency may disrupt developmental
signaling thresholds rather than driving sustained PTEN activation throughout disease progression. Such a model
is consistent with the heterogeneous PTEN expression observed in human SMA hearts and may help reconcile
why PTEN modulation is beneficial in some contexts but not universally altered across all tissues or disease
stages. Importantly, our findings also indicate that cardiomyocytes exhibit marked transcriptional and metabolic
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sensitivity to SMN loss, underscoring cell-type–specific dependencies on SMN-regulated pathways, with
PTEN-linked signaling contributing early and heterogeneously.
Finally, these results have important implications for SMA patients in the era of disease-modifying therapies.
While treatments such as nusinersen, onasemnogene abeparvovec, and risdiplam have dramatically improved
motor outcomes and survival 5–7, they were not specifically designed to address cardiac or other systemic
manifestations of SMN deficiency. In the treatment era, routes of SMN restoration differ in biodistribution. It
remains to be seen whether the broad tissue distribution of risdiplam (an orally administered RNA modifying
therapy increasingly used across age cohorts from prenatal to adults) and intravenously administered
onasemnogene abeparvovec (zolgensma) (with presumed variable systemic transduction in neonates and young
children), provides superior multi-organ protection compared to localized CNS-targeting therapies, or how it may
impact PTEN or other potentially relevant biomarker levels. The newly approved intrathecal formulation of
onasemnogene abeparvovec (Ivitsma), while attractive in reducing potential immune-mediated liver toxicity, could
potentially leave cardiomyocytes and other peripheral tissues more vulnerable to SMN deficiency in the setting of
decreased systemic exposure. As individuals with SMA live longer, how these differing treatment modalities
influence long-term cardiac biology is unknown, and are dependent on their SMN2 copy number, age of
administration and systemic vs targeted CNS exposure. Our data suggest that cardiomyocyte metabolic stress
and PTEN-dependent signaling alterations may represent early indicators of cardiac involvement and potential
targets for adjunctive therapeutic strategies. Future studies will be required to determine whether cardiac
phenotypes persist or evolve in treated SMA populations and whether early modulation of metabolic or PTEN-
related pathways can mitigate long-term cardiac risk.
How differences in tissue exposure (intrathecal vs. systemic) translate into cardiac protection or biomarker
modulation (e.g., PTEN-related signatures) is not yet known; emerging reviews on treated populations and
combination strategies underscore uncertainty about long-term extra-CNS effects and the need for standardized
outcomes beyond motor function. Our data suggest that cardiomyocyte metabolic stress and PTEN-linked
signaling may be early indicators of cardiac involvement in SMA and candidate targets for adjunctive strategies,
particularly for individuals with severe genotypes (
≤ 2 SMN2 copies) who survive longer with therapy. Prior
PTEN-modulation studies in SMA provide proof-of-concept for pathway tractability; however, any attempt to
modulate PTEN in humans must balance potential benefit with PTEN’s role as a tumor suppressor and its broad
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biology. Prospective studies in contemporary, treated SMA cohorts should (i) incorporate cardiac phenotyping
(ECG, echocardiography, myocardial strain, biomarkers and, where feasible, cardiac MRI), (ii) evaluate circulating
or imaging biomarkers of metabolic stress and PTEN-pathway activity, and (iii) define whether early pathway
modulation mitigates long-term cardiac risk as survival improves.
Methods
Ethics, Subjects, and Study Design
Sex was not considered as a biological variable in this study. Ethical approval and written informed parental
consent were obtained for all human participants via Institutional Ethics Review Board approved research
protocols at the University of Utah (UU IRB_00008751 from 2008-2015 and the Massachusetts General Hospital
(MGH IRBs 2015P001934 and 2016P000469 from 2016-2022). Autopsies were performed in collaboration with
pathologists at Primary Children’s Medical Center, Salt Lake City, UT, USA; and Massachusetts General Hospital,
Boston, MA, USA. All procedures adhered to the ethical principles and guidelines of the WHO Guiding Principles
on Human Cell, Tissue and Organ Transplantation.
Mouse studies were approved by the Animal Care and Veterinary Services of the University of Ottawa, Ontario,
Canada (protocols #OHRI-1927 and #OHRI-1948) and were conducted in accordance with institutional and
national standards for the care and use of laboratory animals.
Animals
Smn
+/− mice were bred with Smn2B/2B mice to obtain Smn2B/+ and Smn 2B/- progeny maintained on the C57BL6/J
background16,17. The Smn2B/- mice are a model of severe SMA and the asymptomatic heterozygous Smn2B/+ mice
are used as controls in these experiments. Both male and female mice were used in the analysis.
Human heart autopsies
This cohort study included 14 pediatric patients with genetically confirmed SMA with a severe infantile onset SMA
type 1 clinical phenotype. Clinical characteristics and autopsy findings for these cases are summarized in Tables
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1-3, and Table S1 18–20. None received the FDA-approved disease-modifying therapies nusinersen, risdiplam, or
onasemnogene abeparvovec. Comprehensive pre-mortem clinical data from medical records were available for
all 14 patients with SMA. Initial pathologic examinations were performed following an autopsy protocol that
included partial or full cardiac examination by a clinical academic pathologist at the corresponding institution. An
academic cardiac pathologist at MGH reviewed additional H&E and trichrome stained slides to confirm gross
microscopic features and assess the presence or absence of interstitial fibrosis and/or endocardial fibrosis. Age
and sex matched control tissues were obtained from the NIH Neurobiobank at the University of Maryland. After
gross inspection and dissection, tissues were collected as 1 cm³ blocks from right and left ventricles and
immersion fixed in 4% paraformaldehyde or 2.5% glutaraldehyde for electron microscopy studies. In 7 of 14 SMA
cases, additional cardiac tissue samples were obtained and flash-frozen for later analysis.
Cardiac tissues from patients with SMA and controls were fixed, embedded, sectioned and stained with
hematoxylin and eosin (H&E) and Masson’s Trichrome. Additional slides were generated for each SMA and
control sample and imaged on an Olympus BX53 microscope using 2×, 4×, 10×, 20×, 40×, and 100×
oil-immersion lenses (Olympus Corporation, Shinjuko, Tokyo, Japan). Images were collected using Q Capture Pro
Imaging software (Surrey British Columbia, Canada). Images were formatted using Adobe Photoshop and
Microsoft Office software products. The entire slide was sampled at each magnification (4×, 10×). At the highest
magnifications (40×, 100× oil), only one or two images per region of interest were collected. Sufficient frozen
tissue was available in 7 SMA and 6 healthy controls for protein extraction and analysis.
Cell culture
Cell culture experiments were performed in differentiated human cardiomyocytes and myotubes. Human
cardiomyocytes (Axol Bioscience Limited, Cambridgeshire, England; Cat. No. ax2520; Lot No. 2520310317) were
cultured and differentiated in coated plates using supplemented media from the Human iPSC-Derived Ventricular
Cardiomyocyte Kit (Axol Bioscience Limited, Cambridgeshire, England). Primary human skeletal myoblasts
(Thermo Fisher Scientific; A11440) were cultured with SkGM™-2 Skeletal Muscle Cell Growth Medium-2 Bullet
Kit (Lonza, CC-3245) supplemented with 10% fetal bovine serum (FBS) and 1% pen/strep. Myoblasts were
differentiated into myotubes over four days by replacing media with Dulbecco’s modified Eagle’s medium (DMEM;
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Gibco) supplemented with 2% horse serum and 1% pen/strep. After five days of differentiation, myotubes were
maintained in SkGM™-2 Skeletal Muscle Cell Growth Medium-2 Bullet Kit (Lonza, CC-3245) supplemented with
10% FBS or patient plasma and 1% pen/strep.
To knockdown SMN in cardiomyocytes, cells were transduced with adenoviruses (MOI 100) expressing GFP and
specific siRNA for a human SMN sequence (AAV2-G FP-U6-h-SMN1-shRNA) or a scramble sequence (AAV2-
GFP-U6-scrmb-shRNA). All vectors were produced by Vector Biolabs (Malvern, PA). Twelve hours after
transduction, the medium was replaced with fresh differentiation medium. All cells used in this study were
maintained at 37°C in 5% CO2 and tested negative for mycoplasma. To knockdown SMN in myotubes, specific
siRNA sequences (Thermo Fisher Scientific) were used for human SMN using Lipofectamine RNAiMAX
Transfection Reagent (Thermo Fisher Scientific; 13778-075) in Opti-MEM Media (Thermo Fisher Scientific;
31985062). Transfections with scramble siRNA (4390843) were used for the control groups.
Seahorse Assay
Oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) were measured with extracellular flux
analysis (XF96, Agilent Seahorse, MA, USA) in sodium bicarbonate-free DMEM supplemented with 31.7 mM
NaCl, 10 mM glucose and 2 mM glutamax (pH 7.4 adjusted using NaOH) as previously described by our group
21.
Total protein content was measured with a BCA assay (Thermo Fisher Scientific, 23225) to confirm comparable
protein levels at the endpoint of the Seahorse assay.
Microarray and Pathway Analysis
Transcriptomes from human cardiomyocytes and myotubes were determined using Clariom S Assay, human
(Thermo Fisher Scientific) using the Thermo Fisher Scientific facility services (Santa Clara, CA, USA) as
previously described by our group
21. All data analysis was done in R22 using the packages “Limma”23 and “Oligo”24
through Bioconductor. Affymetrix data were first normalized by using robust multi-array averages. These
normalized data were then fit through a linear model. The empirical Bayes statistics for differential expression was
used to calculate all statistical values. Graphs were generated using ggplot2
25. Microarray data will be submitted
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to the NCBI Gene Expression Omnibus (GEO) and will be made publicly available upon acceptance of this
manuscript
Immunoblotting
SMN, PTEN and GAPDH protein levels were determined by immunoblotting as previously described
26 with few
modifications. Tissues were lysed and 20 μ g of isolated total protein was loaded in a 4–20% precast protein gel
(Biorad, #4561096) and subjected to electrophoresis. Proteins were transferred to a PVDF membrane and
blocked for 1 h at room temperature in Odyssey blocking buffer (Li-Cor, Lincoln, NE). Membranes were incubated
with primary antibodies overnight at 4°C. Primary antibodies were used to probe for SMN (BD Biosciences;
610647), PTEN (Cell Signaling; #9552) and GAPDH (Cell Signaling; #2118). Membranes were imaged using a
ChemiDoc Touch System (Bio-Rad, USA) or the LI-COR Odyssey Infrared Imaging System (LI-COR, Inc., USA).
SMN and PTEN expression were normalized to GAPDH levels.
Statistical Analysis and Data Availability
Data are presented as mean ± standard error of the mean with dots as individual values. Sample size is indicated
in the figure legends. Statistical analyses were performed using GraphPad Prism 10 software (GraphPad
Software, Inc). Unpaired 2-tailed Student t tests were used to compare groups. Statistical significance was
defined as p < 0.05. All data relevant to this study are contained within the article.
Author Contributions
K.J.S. and C.R.R.A. directed the research project. R.G., L.L.H, R.G.S., E.J.E., S.D.S.D.L., A.J.J., F.C.N., J.R.S.,
K.J.S. and C.R.R.A collected human samples or clinical data. L.C. and R.K. performed mouse experiments. R.G.,
R.G.S., and C.R.R.A performed cell culture and additional experiments. R.G., L.L.H, R.G.S., E.J.E., L.C, J.R.S.,
R.K., K.J.S. and C.R.R.A analyzed the data. All authors participated in the data interpretation. L.L.H. and
C.R.R.A. drafted the manuscript. All authors reviewed and approved the final manuscript.
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Acknowledgements
C.R.R.A received a fellowship from the MGH ECOR, a Charles A. King Trust Postdoctoral Research Fellowship,
Bank of America, N.A., Co-Trustees, a James L. and Elisabeth C. Gamble Endowed Fund for Neuroscience
Research / Mass General Neuroscience Transformative Scholar Award, a MGH Physician/Scientist Development
Award, and a National Institutes of Health (NIH) grant K01NS134784. L.C. received a Vanier Canada Graduate
Scholarship from the Canadian Institutes of Health Research. K.J.S was funded by a NIH grants R01HD054599
and R21NS108015, Biogen and Cure SMA. We are grateful to Chrystalle Katte Carreon, MD
The Stella & Richard Van Praagh Cardiac Registry, Boston Children’s Hospital, Boston, MA for her help in
ensuring accuracy and providing context for human cardiopathologic descriptions in figures 1 and S1. We are
grateful to all the patients and families who participated in this study.
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Patient ID no. Sex Age at death
(year, month) SMN2 copies Race Hispanic
or Latino
101
112
M
F
10y, 2m
16y, 1m
2
2
White
White
No
No
177 F 1y, 4m 2 White No
187 F 5y 2 White No
195 M 2y, 10m 2 White No
196 F 3y, 9m 2 White No
206 M 2y, 4m 2 White No
217 M 2y, 9m 2 White No
251
272
M
M
1y, 3m
4m
2
2
White
White
No
Yes
351 M 6m 2 White No
353 F 1y, 9m 2 White No
403 M 2y, 3m 3 African American No
617 F 7y, 2m 2 White Yes
Table 1. Demographics for the cohort of 14 patients with SMA who underwent full or targeted autopsy.
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Table 2. Patient Characteristics and Gross and Microscopic Cardiac Pathology
ID#
Heart
weight
(g)
Heart
expected
(mean, g)
Body Weight
kg (% for age) Cardiac Pathology Perimortem Clinical Context
101 162.3 116 21.4 (< 3rd%)
Pericardial effusion; cardiomegaly and
myocardial fibrosis; abundant epicardial, intra-
cardiac and perivascular fat. Mild but diffuse
interstitial fibrosis and fibrofatty replacement of
cardiac muscle.
Trach and vent dependent; acute heart
failure with cardiac arrest, pneumonia,
sepsis. Elective withdrawal of support.
177 41.5 48 9.4 (3-10th%)
Evidence of prior PDA ligation and surgical
correction of aortic coarctation with suture scar
just distal to the third aortic branch.
Progressive respiratory failure. Elective
withdrawal of support in setting of
respiratory illness with acute respiratory
failure.
187 84 85 Not recorded
Small pericardial effusion; Hypertrophic change
of both ventricles. Mild interstitial fibrosis. Mild
epicardial and intracardiac fat accumulation.
Quadriplegia; trach and vent dependent;
Elective withdrawal with sepsis and acute
heart failure, tachyarrhythmias,
encephalopathy.
195 61.6 72 14 (50th%)
No evident gross or microscopic abnormalities. Progressive respiratory failure (BIPAP
dependent) Withdrawal of support in setting
of acute respiratory failure with viral
respiratory illness
196 65.9 66 12.5 (5-10th%)
Right ventricle with interstitial edema; Mild
interstitial fibrosis and perivascular fat.
Progressive respiratory failure (BIPAP
dependent) acute bronchopneumonia with
cardiorespiratory arrest and resuscitation;
withdrawal of support
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206 66.3 56 12.8 (50-
75th%)
Mild endocardial thickening. Progressive respiratory failure (BIPAP
dependent), dysautonomia; acute
respiratory failure post elective withdrawal
of support
217 106 57.5 14.2 (25-
50th%)
Mild medial hypertrophy of peripheral pulmonary
arteries, cardiomegaly, serous pericardial
effusion. Mild interstitial fibrosis with endocardial
fibrous thickening.
Progressive respiratory failure (BIPAP
dependent); pulmonary HTN; withdrawal of
support in setting of pneumonia with acute
respiratory and cardiac failure
251 49 56 11.8 (75-
90th%)
Endocardial fibrous thickening close to valves.
Mild interstitial fibrosis. Mild perivascular fat.
Progressive respiratory failure; acute
respiratory failure in setting of upper
respiratory illness following elective
withdrawal of support
351 35.4 31 7.55 (25th%)
None. Chronic respiratory failure; unwitnessed
death during sleep in setting of acute
respiratory illness
353 46 58 Not recorded
Endocardial fibrous thickening and excess
perivascular collagen deposition. Mild interstitial
fibrosis. Excess fat in the conducting system and
around vessels.
Chronic respiratory failure with increasing
noninvasive ventilator support; elective
withdrawal in setting of acute respiratory
illness
403 105 66.5 14.1 (75th%)
Cardiomegaly. Perivascular, epicardial and
intracardiac fat accumulation unexpected for age.
Progressive respiratory failure (BiPAP
dependent). Acute cardiorespiratory arrest
with delayed resuscitation; support
withdrawn
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617 106 142.5 20.9 (10-
25th%)
Mild right ventricular dilatation; mild endocardial
thickening involving the right ventricle; mild
myxomatous degeneration mitral valve, mild
interstitial and replacement fibrosis and patchy
focal increase in interstitial macrophages.
Increased epicardial and perivascular fat.
Trach and vent dependent; quadriplegic,
pulmonary HTN, recurrent bradycardia,
reduced heart rate variability,
encephalopathy, support withdrawn in
setting of recurrent acute respiratory failure,
pneumonia/bronchitis.
112 N/A N/A 47.3 (5-10%)
No evident gross cardiac abnormalities.
Microscopy not performed. Frozen heart samples
collected rapid research autopsy
Pulmonary HTN. Full quadriplegia and
prolonged respiratory support with BIPAP.
Support withdrawn in setting of sepsis with
heart failure, arrythmia.
272 N/A N/A 4.69 (<5th%)
No evident gross cardiac abnormalities.
Microscopy not performed. Frozen heart samples
collected at rapid research autopsy
Progressive respiratory failure. Acute
cardiorespiratory arrest at home with
resuscitation. Elective withdrawal of
ventilator support.
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Table 3. Complete systemic autopsy findings in the subset of 12 patients with SMA.
Systemic Autopsy Findings Patients (n = 12)
Head and Neck
Craniofacial abnormality 10 (83%)
Tracheostomy 3 (25%)
Infectious & Inflammatory
Pneumonia/chronic pneumonitis/bronchitis 9 (75%)
Tracheitis 2 (17%)
Esophagitis 1 (8%)
Hepatic portal triaditis 2 (17%)
Edema & Fluid Accumulation
Peripheral edema/lymphedema 10 (83%)
Pleural effusion 3 (25%)
Pericardial effusion 3 (25%)
Ascites 2 (17%)
Coagulation & Hematologic
Coagulopathy (+/-sepsis) 2 (17%)
Metabolic & Endocrine
Nephrocalcinosis 4 (33%)
Adrenal hypoplasia or atrophy 4 (33%)
Necrosis of pancreatic endocrine cells 1 (8%)
Pancreatic islet cell hyperplasia 2 (17%)
Lymphatic & Immune Dysregulation
Lymphoid hyperplasia or malformation 5 (42%)
Cardiovascular
Features of chronic pulmonary hypertension (HTN) 3 (25%)
Supporting evidence for acute or chronic heart failure 3 (25%)
Congenital & Developmental
Coarctation of the aorta with patent ductus arteriosis 1 (8%)
Undescended testes 3 (43% of males)
Ovarian follicle cysts 2 (40% of females)
Hepatic & GI Disorders
Fatty liver, microsteatosis; hepatocyte vacuolization or cholestasis 5 (42%)
Gastrotomy tube +/- fundoplication 9 (75%)
Accessory spleens 2 (17%)
Gallstones 1 (8%)
Musculoskeletal Abnormalities
Skeletal muscle atrophy, fatty replacement with variable limb contractures
and chest wall deformity (pectus carinatum/excavatum) 12 (100%)
Thoracic scoliosis 2 (17%)
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Table 4. Gross anatomical cardiac observations in 12 patients with complete autopsies.
Anatomical features Normal Increased Decreased
Heart weight 9 (75%) 3 (25%) -
LV wall thickness 7 (58%) 4 (33%) 1 (8%)
RV wall thickness 12 100%) - -
Valvular anatomy 12 (100%) - -
Coronary arteries 12 (100%) - -
Pericardium 12 (100%) - -
Other features included right ventricular dilatation (N=1) grossly evident fat infiltration of ventricles (N=1) and
congenital cardiac structural abnormalities s/p surgical repair (N=1)
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Figures
Figure 1 . Heterogeneous cardiac fat deposition and interstitial remodeling in SMA type I. A subset of
patients showed variably increased perivascular fat and collagen deposition as compared to age matched
controls. Pathologic findings were heterogeneous and not present in all hearts. Perivascular fat demonstrated in
representative slides from A and B: 353 and 196 (shown at 10× H&E) with adipocytes surrounding arteriole and
venule respectively, as compared to age matched control 4379 in D and E (40× H&E). Fat infiltrating cardiac
ventricular muscle is shown in C: 403 (4× H&E) considered unusual given age of 2 yrs 3 months. Increased
perivascular interstitial tissue is shown in F: 101 (40× oil trichrome), a 10 year, 9-month-old male with the most
grossly evident and diffuse cardiac pathology.
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Figure 2. SMN knockdown alters cardiomyocyte bioenergetics and gene expression in vitro. A: KO
schematic in cardiomyocytes B-D: Oxygen consumption rate (OCR) is significantly increased in siSMN-treated
cardiomyocytes compared with siScramble controls and extracellular acidification rate (ECAR) is significantly
decreased in siSMN-treated cardiomyocytes. n = 16 technical replicates. * p <0.05. **p < 0.01. Mitochondrial and
glycolytic ATP production rates show no significant difference between siSMN and siScramble conditions (ns). E:
Volcano plot of differential gene expression following SMN knockdown. F: Heatmap and hierarchical clustering of
differentially expressed genes demonstrate distinct transcriptional profiles between siSMN and siScramble
cardiomyocytes. G: Pathway enrichment analysis of differentially expressed genes identifies significant
perturbation of multiple signaling pathways, including enrichment of PTEN signaling.
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Figure 3. PTEN protein expression is altered in SMA human hearts and in a mouse SMA model. A:
Immunoblots of PTEN protein expression in human cardiac tissue from control and SMA autopsy samples. B:
Quantification of PTEN protein expression in human hearts normalized to GAPDH. n = 6-7. C: Schematic of the
mouse SMA model (Smn 2B/+ and Smn 2B/− mice) and experimental timeline, with heart tissues collected at
postnatal day 9 (P9) and postnatal day 19 (P19). D: Immunoblots of SMN protein expression in hearts from
mouse models. E-F: Quantification of cardiac SMN protein expression normalized to α -tubulin at ( E) P9 and ( F)
P19. n = 5 mice. * p <0.05. G: Immunoblots of PTEN protein expression in hearts from Smn2B/+ and Smn2B/− mice
at P9 and P19, with GAPDH as a loading control. H-I: Quantification of cardiac PTEN protein expression
normalized to GAPDH shows significantly increased PTEN levels in Smn 2B/− mice at ( H) P9, with no significant
difference at (I) P19. n = 5 mice.
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Supplementary Material
Table S1. Control Subjects Characteristics
Table S2. List of genes from microarray performed after SMN knockdown in human cardiomyocytes [Excel file]
Table S3. List of genes from microarray performed after SMN knockdown in human myotubes [Excel file]
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Figure S1. Cardiac mass variability and representative histopathologic features in SMA patients. A: Heart
weight expressed as percent of age- and sex-expected values for individual SMA patients. The solid vertical line
at 100% denotes the expected heart weight for age and sex, and the dashed vertical lines indicate ±1 standard
deviation from the expected value. B-D: Additional histologic sections of human tissue from 12 yo male control,
40x H&E, and E: 40× trichrome image from 101, 10 years 9 months old male SMA patient, representative of the
increased perivascular collagen and fat diffusely evident in both ventricles.
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Figure S2. Expanded pathway analysis following SMN2 knockdown in human cardiomyocytes. Ingen
pathway analysis of differentially expressed genes after SMN2 knockdown in human cardiomyocytes, showing
top 20 significantly enriched canonical pathways ranked by – log(p value). Bar color denotes predic
directionality based on z-score: black indicates negative z- score (predicted pathway inhibition), red indic
positive z-score (predicted pathway activation), and gray indicates no consistent activation pattern.
27
enuity
ing the
dicted
icates
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Figure S3. Myotubes data following SMN knockdown. A: Experimental schematic showing siRNA-mediated
knockdown of SMN (siRNA-SMN) or scrambled control (siRNA-Scramble) in human myotubes, followed by
transcriptomic analysis using microarray. B: Volcano plot of microarray gene expression data comparing siRNA-
SMN versus control myotubes.
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Table S1. Demographic, clinical, and autopsy characteristics of the control subjects.*
Control ID
Age at death
(year, month) Sex Ethnicity SMN1 SMN2 Cause of death
Heart
weight (g)
1284 3y 4m F
2 NT Drowning
1453 1y 3m F African American 2 2 Choking/Asthma
1798 1y 4m F Caucasian 2 1 Bowel intussusception
4379 3 y M Caucasian 3 2 Drowning
1864 2y 6m F
2 NT
Laryngitis and
Bronchiolitis
5282 2y 10m M Hispanic 2 2
Asphyxia, choking on
food bolus (hot dog) 77
5564 2y M African American 3 0
Asphyxia, choking on
food bolus 110
5883 2 m M African American 4 0
Sudden infant death
syndrome 40
4352 4 m M
2 NT
Acute and Chronic
Tracheo-Bronchiolitis 49.5
4376 7 m M Caucasian 2 2 Probable asphyxiation 53
4394 3y 2m F
2 1 Fever, undetermined 65.8
5334 12y M Caucasian 2 1 Drowning 135
5387 12y M
2 NT Drowning
Adapted from Impaired kidney structure and function in spinal muscular atrophy, Nery, F.C. et al., Neurol. Genet. 5,
e353 (2019). *Control samples from the NIH Neurobiobank at the University of Maryland.
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30
References
1. Yeo, C. J. J. & Darras, B. T. Overturning the Paradigm of Spinal Muscular Atrophy as Just a Motor Neuron
Disease. Pediatr. Neurol. 109, 12–19 (2020).
2. Wijngaarde, C. A. et al. Cardiac pathology in spinal muscular atrophy: a systematic review. Orphanet J. Rare
Dis. 12, 67 (2017).
3. Nair, N. N. et al. Alterations in cardiac function correlate with a disruption in fatty acid metabolism in a mouse
model of SMA. Hum. Mol. Genet. 34, 547–562 (2025).
4. Motyl, A. A. L. et al. Pre-natal manifestation of systemic developmental abnormalities in spinal muscular
atrophy. Hum. Mol. Genet. 29, 2674–2683 (2020).
5. Biogen Inc. Nusinersen [Package Insert]. https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=dd70cd5f-
b0fc-4ba4-a5ea-89a34778bd94 (2025).
6. Novartis Gene Therapies, Inc. Onasemnogene Abeparvovec-Xioi [Package Insert].
https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=68cd4f06-70e1-40d8-bedb-609ec0afa471 (2025).
7. Genentech, Inc. Risdiplam [Package Insert].
https://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?setid=eceb9a99-7191-4be5-87c3-0102707cf98e (2025).
8. Palladino, A. et al. Cardiac involvement in patients with spinal muscular atrophies. Acta Myol. Myopathies
Cardiomyopathies Off. J. Mediterr. Soc. Myol. 30, 175–178 (2011).
9. Nicolae, G. et al. New Perspectives of Underlying Cardiomyopathy in Pediatric SMA Patients—An Age
Matched Control Study. Life 15, 1091 (2025).
10. Grotto, S. et al. Type 0 Spinal Muscular Atrophy: Further Delineation of Prenatal and Postnatal Features
in 16 Patients. J. Neuromuscul. Dis. 3, 487–495 (2016).
11. Cui, Y. et al. The alteration of left ventricular strain in later-onset spinal muscular atrophy children. Front.
Cell. Neurosci. 16, 953620 (2022).
12. Palladino, A. et al. Cardiac involvement in patients with spinal muscular atrophies. Acta Myol. Myopathies
Cardiomyopathies Off. J. Mediterr. Soc. Myol. 30, 175–178 (2011).
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted March 24, 2026. ; https://doi.org/10.64898/2026.03.20.713246doi: bioRxiv preprint
31
13. Little, D. et al. PTEN depletion decreases disease severity and modestly prolongs survival in a mouse
model of spinal muscular atrophy. Mol. Ther. J. Am. Soc. Gene Ther. 23, 270–277 (2015).
14. Godena, V. K. & Ning, K. Phosphatase and tensin homologue: a therapeutic target for SMA. Signal
Transduct. Target. Ther. 2, 17038 (2017).
15. Šolti ć , D. et al. Lamin A/C dysregulation contributes to cardiac pathology in a mouse model of severe
spinal muscular atrophy. Hum. Mol. Genet. 28, 3515–3527 (2019).
16. Eshraghi, M., McFall, E., Gibeault, S. & Kothary, R. Effect of genetic background on the phenotype of the
Smn2B/- mouse model of spinal muscular atrophy. Hum. Mol. Genet. 25, 4494–4506 (2016).
17. Bowerman, M., Murray, L. M., Beauvais, A., Pinheiro, B. & Kothary, R. A critical smn threshold in mice
dictates onset of an intermediate spinal muscular atrophy phenotype associated with a distinct neuromuscular
junction pathology. Neuromuscul. Disord. NMD 22, 263–276 (2012).
18. Finkbeiner, W. E., Ursell, P. C. & Davis, R. L. Autopsy Pathology: A Manual and Atlas.
(Saunders/Elsevier, Philadelphia, PA, 2009).
19. Gilbert-Barness, E. & Debich-Spicer, D. Handbook of Pediatric Autopsy Pathology. (Springer, Dordrecht,
2008).
20. Schulz, D. M. & Giordano, D. A. Hearts of infants and children. Weights and measurements. Arch. Pathol.
74, 464–471 (1962).
21. Alves, C. R. R. et al. Exercise training reverses cancer-induced oxidative stress and decrease in muscle
COPS2/TRIP15/ALIEN. Mol. Metab. 39, 101012 (2020).
22. R Development Core Team. R: A language and environment for statistical computing. R Foundation for
Statistical Computing (2011).
23. Ritchie, M. E. et al. limma powers differential expression analyses for RNA-sequencing and microarray
studies. Nucleic Acids Res. 43, e47 (2015).
24. Carvalho, B. S. & Irizarry, R. A. A framework for oligonucleotide microarray preprocessing. Bioinformatics
26, 2363–2367 (2010).
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted March 24, 2026. ; https://doi.org/10.64898/2026.03.20.713246doi: bioRxiv preprint
32
25. Wickham, H. ggplot2: elegant graphics for data analysis. 2016.
26. Nery, F. C. et al. Impaired kidney structure and function in spinal muscular atrophy. Neurol. Genet. 5,
e353 (2019).
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted March 24, 2026. ; https://doi.org/10.64898/2026.03.20.713246doi: bioRxiv preprint
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