Abstract
Background: Primary mitral regurgitation resulting from mitral valve prolapse can lead
to life-threatening complications, including arrhythmias, heart failure, and sudden
cardiac death. Mitral valve prolapse is classically associated with myxomatous mitral
valve degeneration, characterized by leaflet thickening, extracellular matrix
disorganization, and progressive structural remodeling. Valvular interstitial cells, the
predominant stromal population within the valve, maintain extracellular matrix
homeostasis; however, their molecular heterogeneity, and state-specific contributions to
disease pathogenesis remain incompletely defined.
Methods
Using a fibrillin-1 deficient mouse model and human tissue specimens we
integrated single-cell RNA sequencing with spatial transcriptomic profiling to construct a
comprehensive atlas of cellular composition and extracellular matrix organization across
normal mitral valves, sporadic mitral valve prolapse, and Marfan syndrome-associated
mitral valve prolapse.
Results
Analyses revealed spatially organized cellular niches and substantial
heterogeneity within the valvular interstitial cell population. Across murine and human
datasets, we identified a conserved activated valvular interstitial cell population enriched
for profibrotic extracellular matrix remodeling programs and preferentially localized to
mechanically vulnerable leaflet tip regions. This population exhibited coordinated
upregulation of collagen- and matrix-associated genes, metabolic signatures consistent
with enhanced mitochondrial activity, and transcriptional features suggesting fibro-
inflammatory signaling.
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Conclusions
We identified a transcriptionally and spatially distinct activated valvular
interstitial cell state conserved across species and disease etiologies that is strongly
implicated in fibrotic remodeling during myxomatous mitral valve degeneration and
provides a candidate therapeutic target.
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Introduction
Mitral valve disease imposes a substantial global health burden and can lead to
progressive heart failure, arrhythmia, infective endocarditis, and sudden cardiac death
(1). Sporadic mitral valve prolapse (MVP), affecting approximately 1-2% of the
population, is the leading cause of primary mitral regurgitation in adults and is most
commonly associated with myxomatous mitral valve degeneration (MMVD) (2). Among
syndromic forms, Marfan syndrome-associated MVP is the most prevalent,
characterized by more pronounces MMVD involving both mitral valve leaflets, and
carries a substantially increased likelihood of requiring surgical intervention compared
with non-syndromic MVP (3). Although surgical management of mitral regurgitation has
advanced considerably, favoring valve repair over replacement and incorporating
transcatheter techniques, disease-modifying medical therapies remain unavailable. This
therapeutic gap largely reflects an incomplete understanding of the cellular and
molecular mechanisms that drive progressive leaflet remodeling.
Histopathologically, MMVD is characterized by leaflet thickening and elongation,
disorganization of the extracellular matrix (ECM) architecture, and excessive
accumulation of collagen- and glycosaminoglycans- (GAGs) rich matrix (4). Although the
disease has historically been described as “myxomatous”, the contribution of fibrosis-
associated ECM remodeling to disease progression remains insufficiently defined. This
gap in knowledge partly reflects the technical difficulty of systematically profiling the
mitral leaflet, whose thin, elongated structure complicates whole-leaflet spatial analysis
(5). Consequently, prior investigations have predominantly examined discrete or
regionally restricted valve regions. As a result, comprehensive histologic
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characterization of the entire human mitral leaflet remains incomplete, and a spatially
resolved, whole-organ molecular atlas of normal and diseased human mitral leaflets has
not been established.
Valvular interstitial cells (VICs), mesenchyme-derived fibroblast-like stromal cells,
constitute the predominant resident cellular population within the mitral valve and are
central regulators of ECM homeostasis and mechanical integrity (6-8). Although
fibroblast heterogeneity has been extensively described in multiple organs, the diversity
and functional specialization of mitral VICs remains incompletely defined. Traditionally
viewed as quiescent in the healthy valve, VICs are now recognized to exhibit dynamic
transcriptional and metabolic states even under physiological conditions (7,9). Under
pathological stress, VICs can adopt activated matrix-remodeling phenotype
characterized by increased collagen synthesis, induction of matrix metalloproteinases,
and upregulation of inflammatory mediators and chemokines (10-12). Whether specific
VIC states spatially organize and drive the fibrotic remodeling observed in MMVD
remains unclear.
In this study, we integrated single-cell RNA sequencing (scRNA-seq), spatial
transcriptomics, and ECM mapping to construct a spatially resolved cellular and
molecular atlas of the mitral valve. Using a murine model together with human
specimens spanning normal, sporadic MVP, and Marfan-associated MVP, we identify
multiple transcriptionally and spatially distinct VIC subtypes. Notably, under diseased
conditions, we defined a conserved activated VIC population enriched for profibrotic
ECM-remodeling program while showing limited induction of canonical contractile
markers traditionally associated with myofibroblast differentiation (13,14). These
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findings refine the cellular framework of MMVD pathogenesis by identifying a spatially
restricted activated VIC state as a central effector of fibrotic remodeling and a candidate
target for disease-modifying therapy.
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Methods
Ethics
Animal research was approved by the Institutional Animal Care and Use
Committee of Yale University. All mice were housed in standardized conditions within
Yale University's Animal Facility. All procedures were conducted in compliance with US
legislative requirements. The study adhered to the US code of conduct for responsible
human tissue use. The collection of the human tissue was approved by the Institutional
Review Board of Yale University and the New England Organ Bank. All patients
provided informed consent.
Mice
Fbn1C1039G/+ mice (C1039G) were a gift from Harry C. Dietz (available from
Jackson Laboratory as stock no. 012885) (15). Mice were euthanized at 12 weeks old
for analysis. Wild-type control hearts were harvested from gender-matched littermates
in each group. After euthanasia, the thoracic cavity was extensively opened, and the
hearts were perfused with saline. Subsequently, the mitral valve was isolated through a
longitudinal incision and excised for subsequent experiments.
Echocardiography
Mitral valve function was assessed using high-resolution echocardiography on
animals anesthetized with a light isoflurane dose. A 40 MHz linear array transducer
(Vevo 2100, VisualSonics) was employed to detect mitral regurgitation.
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Gross morphology examination
Mouse hearts were excised and fixed in 4% paraformaldehyde (PFA) at 4ºC
overnight. Following fixation, the mitral valves were exposed for examination. In situ
images of the mitral valves were captured using an SZX16 stereoscopic microscope
equipped with an Olympus camera. Human diseased mitral valve tissues were procured
from patients undergoing repair surgery, while normal specimens were sourced from
non-transplanted donor hearts. The control samples were selected based on the
absence of mitral valve disease and overall health status to serve as a baseline for
comparison with diseased samples. Photographs with a scale reference were taken
immediately following acquisition.
Histomorphometry
Tissues were fixed in 4% PFA overnight, paraffin-embedded, and sectioned at 7
μm thickness. Yale's Research Histology Lab stained the sections using Hematoxylin
and Eosin (H&E), Masson’s Trichrome (Trichrome), Von Koss, Alizarin red, and Movat's
Pentachrome (Movat) staining using standard techniques. Morphometric analysis was
conducted with ImageJ.
Confocal imaging
Tissues were embedded in OCT and sectioned at 7 μm thickness. After washing
three times with Tris-buffered saline (TBS), tissue sections were incubated with primary
antibodies diluted in blocking solution (10% BSA and horse serum in TBS) overnight at
4°C in a humidified enclosure. Sections were washed three times with TBS, incubated
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with corresponding Alexa Fluor 488-, Alexa Fluor 594-, or Alexa Fluor 647-conjugated
secondary antibodies in blocking solution for 1 hour at room temperature, followed by
another series of three TBS washes, and mounted on slides with ProLong Gold
mounting reagent with DAPI (ThermoFisher Scientific, P36935). The following
antibodies were used: anti-Tnfrsf12a (Invitrogen, 14-9018-82), anti-CD68 (Abcam,
ab955), anti-TGF-β1 (Abcam, Ab92486), anti-CD45 (BD, 550539), anti-Collagen III
(Abcam, ab7778), anti-CD68 (Bio-rad, MCA1957), anti-CD45 (R&D, AF114), anti-
Collagen I (Abcam, ab34710), anti-RSPO3 (Proteintech, 17193-1-AP), anti-p-SMAD2
(Cell Signaling, 3108), anti-Elastin (Abcam, ab21610), anti-CD31 (R&D, AF3628), anti-
CHAD (Invitrogen, PA5-53761), anti-Ifit3 (Proteintech, 15201-1-AP), anti-CCR2 (Abcam,
ab216863), anti-LAP (R&D, MAB7666). All immunofluorescence images were taken
with a Leica SP8 confocal microscope. ImageJ software was used to quantify
immunofluorescence signals by calculating the mean fluorescence intensity, defined as
the sum of pixel values within each valve section normalized to the measured area and
expressed as arbitrary units (AU) or number of positive stained cells for specific
antibodies.
Single-cell RNA sequencing
Mitral valves were procured, rinsed in cold PBS, and sliced into small fragments.
The minced tissue was incubated in DMEM with 1.5 mg/ml collagenase A, and 0.5
mg/ml elastase for 60 min at 37 °C. The digested solution was passed through a 70 μm
filter and incubated with cell-impermeant viability dye (ThermoFisher Scientific, 65-
0865-14) for 20 min, washed, resuspended in 0.4% BSA/PBS for sorting using a LSR II
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(BD Biosciences) as described (16). Single-cell suspensions were processed using the
Chromium Controller (10x Genomics) according to the manufacturer’s instructions.
Following cDNA amplification and library construction, sequencing was performed on
the Illumina HiSeq 4000 platform at the Yale Center for Genome Analysis. Post-
sequencing, the data for each specimen was aligned to the reference genomes of
human or mouse as supplied by 10X Genomics as described (16) and employing the
CellRanger suite following the default parameters.
scRNA sequencing and raw data processing
scRNA-seq data was further processed in R using Seurat (4.3.0). Cells were
filtered to include those with mitochondrial reads less than 10% and nCount_RNA
between 500 and 15,000 (17,18). The gene expression of the remaining cells was
normalized by the method “LogNormalize”. Highly variable genes were selected using
standard variation and were used in the downstream analyses. Principal component
analysis (PCA) was conducted based on highly variable genes for dimensionality
reduction and 50 significant principal components were chosen for batch effect
correction using Harmony. Clustering in Harmony was performed using graph-based
clustering approach with an appropriate resolution for each data. The Louvain algorithm
was used to group cells into different cluster. Uniform Manifold Approximation and
Projection (UMAP) were applied for the two-dimensional visualization of the clustering
all cell types and specific cell subtypes respectively. Differentially expressed genes were
identified by Wilcoxon test. Genes with log2FC (fold change, FC) >0.25 and adjusted p-
value <0.05 were considered as significant differentially expressed genes.
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scRNA-seq data analysis
To evaluate the ligand-receptor interactions among the identified cell types, we
retrieved the gene expression matrix from the RDS files, annotated with cell type
information. Subsequently, we applied CellChat to infer the ligand-receptor interactions
as previously described (19). Single-cell metabolic data were analyzed using the
scMetabolism package on identified cell types to quantify the metabolic activity at the
single cell resolution. Senescence signature scores were computed using the SenMayo
gene set (20) (Supplemental Tabel 1) and the AddModuleScore function implemented in
Seurat.
Spatial transcriptome profiling of mouse and human mitral valve
Two types of chips were used in this study, the 50x50 10um chip was used for
mouse mitral valve spatial transcriptome profiling and 100x100 20um chip was used for
human mitral valve spatial transcriptome profiling (21,22).
Analysis of spatial omics data
The library was built and sequenced by an illumina Novaseq 6000 sequencer.
For cDNAs originating from mRNAs, the raw FASTQ file, which includes the UMI,
barcode A, and barcode B, was restructured into the format required by ST Pipeline
version 1.7.2 using a custom Python script (23). Adhering to ST Pipeline's suggested
settings, the RNA expression matrices were clustered using Seurat (24). For the
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transcriptome data, normalization was performed using the SCTransform function in
Seurat.
Quantitative RT-PCR
Total RNA was isolated from mitral valve tissues using the RNeasy Mini kit
(Qiagen, Inc. 74104). The quantification of target genes was performed by using the
High-capacity cDNA Reverse Transcription kit (ThermoFisher Scientific, 4368814) and
TaqMan Gene Expression Master Mix (ThermoFisher Scientific, 4369016) according to
manufacturer's instructions. The amplified genes and primer catalogs (ThermoFisher
Scientific) were as follows: COL1A1 (Hs00164004_m1), COL1A2 (Hs01028956_m1),
COL3A1 (Hs00943809_m1), COL5A1 (Hs00609133_m1), COL6A1 (Hs01095585_m1),
COL10A1 (Hs00166657_m1), COL11A1 (Hs01097664_m1), COL11A2
(Hs00899176_m1), COL13A1 (Hs01103890_m1), COL14A1 (Hs00964045_m1),
COL15A1 (Hs00266332_m1), COL21A1 (Hs00229402_m1), MMP11
(Hs00968295_m1), MMP16 (Hs00234676_m1), ADAMTS14 (Hs01548440_m1),
ADAMTS16 (Hs00373526_m1), ACAN (Hs00153936_m1), DCN (Hs00754870_s1),
LUM (Hs00929860_m1), PRG4 (Hs00981633_m1), and ACTB (Hs99999903_m1). The
amplification procedures were performed on Bio-Rad CFX94. The results were
normalized to the expression of ACTB, and all data are expressed as 2-ΔΔCt.
Micro-computed tomography
Mitral valve calcification was assessed using high-resolution micro-computed
tomography (Scanco Medical AG, Brüttisellen, Switzerland) at the Yale microCT
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Imaging Facility. Human mitral valve tissues were scanned, and cross-sectional images
were reconstructed using the manufacturer’s software.
Statistics and visualization
Numerical data are depicted as point graphs showing individual observations,
with lines indicating the average and standard error of the mean (SEM). Continuous
variables across two cohorts were compared using the t-test, while comparisons among
multiple groups utilized one-way ANOVA for the independent variable, with post-hoc
Tukey’s tests applied when ANOVA indicated significant differences. P-values were
bidirectional, and a threshold of P < 0.05 was set for statistical significance. All graphs
and statistical evaluations were conducted using Prism version 10.0.0 (GraphPad
Software). Symbols such as asterisks indicate statistical significance levels in group
comparisons. Differential expression analysis was performed using Seurat’s
FindMarkers function, employing the Wilcoxon test to identify differentially expressed
genes between groups.
Data and code availability
The datasets and custom code generated in this study are being prepared for
public deposition and will be made available in a public repository prior to manuscript
acceptance.
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Results
Characterization of the Fbn1C1039G/+ model of myxomatous mitral valve
degeneration.
The fibrillin-1 (Fbn1) deficient heterozygous Fbn1C1039G/+ (C1039G) mouse is a
well-established model of Marfan syndrome that develops aortic aneurysms, kyphosis,
skeletal muscle myopathy while maintaining a near-normal lifespan. Importantly, this
model also recapitulates key features of MVP (15,25,26). By 12 weeks of age, C1039G
mice exhibited structural abnormalities closely resembling human MMVD, including
leaflet enlargement, thickening, and architectural disorganization, most prominently at
the leaflet tip (Figure 1A). These structural changes were accompanied by high rates of
mitral regurgitation (Figure 1B). Immunofluorescence analysis revealed increased TGF-
b1 and phosphorylated Smad2 (p-SMAD2) expression, together with reduced levels of
latency-associated peptide (LAP) in C1039G valves compared with wild-type (WT, +/+)
controls (Supplemental Figure 1), consistent with enhanced TGF-β pathway activation.
We next performed scRNA-seq on mitral valves from C1039G and WT mice.
Because of the small size and low cellularity of the murine mitral leaflet, valves from 20
mice per group were pooled to obtain sufficient cells input, yielding 22,170 high-quality
cells after quality control (Figure 1C). Based on established lineage-specific marker
genes, five major cell types were identified: VICs, macrophages, T cells, endothelial
cells, and melanocytes (Figure 1D-E) (17,18). Immunofluorescence staining
demonstrated spatial distribution of these cell types within the leaflet. A CD31+
endothelial monolayer lined the leaflet surface, whereas CD68+ macrophages localized
predominantly to the atrial side of the mid-leaflet and to the leaflet tip. The number of
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macrophage was increased in C1039G valves compared with WT controls (Figure 1F-
G). A small melanocytes population was also detected by scRNA-Seq in murine mitral
valves, although its functional contribution to valve biology remains undefined.
Murine mitral valve VICs comprise distinct functional subtypes with disease-
associated shifts in abundance and spatial distribution.
Unsupervised clustering of VICs from WT and C1039G mitral valves revealed
marked transcriptional heterogeneity, with five distinct subsets (mVIC1-mVIC5) (Figure
2A-B). To define their functional characteristics, we examined genes associated with
ECM synthesis and inflammatory signaling. In WT valves, each VIC subset displayed a
distinct transcriptional profile, reflected by differential expression of structural ECM
components, including collagens (Col1a1, Col3a1, Col8a1), elastin (Eln), GAG
biosynthetic enzymes (Has2, Ugdh, Ugp2), inflammatory mediators (Cxcl2, Ccl2), and
the chemokine receptor Ccr2 (Figure 2C).
mVIC1 exhibited concurrent enrichment of GAG-related and inflammatory
transcripts and was significantly expanded in C1039G valves compared with WT
controls (Figure 2A and 2C). In contrast, mVIC3 and mVIC4 were primarily enriched for
ECM programs, with mVIC3 characterized by elevated collagen expression and mVIC4
preferentially expressing elastin-associated transcripts. mVIC2 and mVIC5 showed
relatively higher expression of immune-associated genes (Figure 2C). Together, these
findings support the presence of functionally specialized VIC subtypes that likely
contribute to regional ECM composition and immune modulation within the WT valve.
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To determine whether these transcriptionally defined VIC clusters exhibited
spatial organization across the leaflet, we performed immunofluorescence staining
using representative markers selected from cluster-enriched genes (Figure 2B). The
mVIC1 subset (Tnfrsf12a⁺) was predominantly localized to the leaflet tips and was
markedly increased in C1039G valves compared with WT controls (Figure 2D).
Consistent with elevated Ccl2 expression in mVIC1 from C1039G valves (Figure 2C),
C1039G mice exhibited increased accumulation of CD45⁺CCR2⁺ immune cells
(Supplemental Figure 2) (12). The mVIC2 (Rspo3⁺) exhibited a distinct inflammatory
transcriptional profile and was primarily distributed within the mid-leaflet region in WT
valves, while in C1039G, this population was increased and displayed spatial overlap
with macrophages-enriched regions (Figure 1F). mVIC3 (Chad⁺), enriched for collagen
transcripts, was localized predominantly at the leaflet base, consistent with collagen-
dense regions observed by Movat’s pentachrome staining (Figure 1A). The elastin-
enriched subset mVIC4 (Eln⁺) exhibited a broad distribution extending from the leaflet
base toward the proximal tip, with higher density along the atrial side, consistent with
elastin-rich zones observed by Movat’s staining (Figure 1A). Finally, mVIC5 (Ifit3⁺),
characterized by inflammatory-associated gene expression, localized predominantly to
the mid-leaflet and overlapped with leukocyte-rich regions (Figure 1F).
Activated murine VIC subset drives MMVD remodeling.
Compared with WT valves, C1039G valves exhibited the most pronounced
structural alterations at the leaflet tip, rather than at the leaflet base or mid-leaflet
(Figures 1A and 3A), paralleling the regional pattern observed in human clinical MMVD
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(5). Movat’s pentachrome staining further showed that the leaflet tip is enriched in
GAGs under baseline conditions (Figure 1A), whereas in C1039G valves this region
displayed marked ECM disorganization and collagen accumulation (Figures 1A and 3A).
Because mVIC1 preferentially localized to the leaflet tip (Figure 2D), was strongly
associated with GAG biosynthetic programs (Figure 2C), and was expanded in C1039G
valves (Figure 2A), we next examined this population in greater detail in the diseased
state.
In WT valves, distinct VIC subsets displayed a balanced and homeostatic
distribution of ECM and inflammatory programs, with different subsets preferentially
contributing specific matrix components and signaling mediators (Figure 2C). This
organized functional specialization was disrupted in C1039G valves, where major ECM-
synthetic and profibrotic genes became concentrated within the mVIC1 population
(Figure 3B). In addition, mVIC1 cells from C1039G valves exhibited significantly
increased expression of collagen-, elastin-, and GAG-biosynthetic genes, together with
profibrotic genes (Figure 3C). Expression of Tgfb1 and its receptors, Tgfbr1 and Tgfbr2,
was also significantly increased, supporting enhanced TGF-β pathway activation in
mVIC1 from C1039G valves (Figure 3C and Supplemental Figure 3A).
Moreover, mVIC1 from C1039G valves displayed significantly increased
senescence signature scores relative to WT control (Figure 3D and Supplemental Table
1), indicating activation of a senescence-associated transcriptional program. Compared
with other VIC clusters, mVIC1 also exhibited marked enrichment of representative
tricarboxylic acid (TCA) cycle and oxidative phosphorylation genes, consistent with
increased mitochondrial metabolic engagement and a shift toward oxidative metabolic
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programming (Supplemental Figure 3B). This metabolic profile aligns with the
heightened biosynthetic and remodeling demands of activated stromal cells (27,28).
Notably, canonical myofibroblast markers were not enriched in mVIC1 but were
preferentially expressed in other VIC clusters (Supplemental Figure 3C).
Integrating its activated ECM transcriptional profile, senescence-associated
features, metabolic reprogramming, expansion in C1039G valves, and spatial
enrichment at leaflet tips-the primary region affected in MMVD-we designated mVIC1 as
activated mVIC (act-mVIC). Collectively, these features identify act-mVIC as a major
disease-associated remodeling population associated with the pathological ECM
changes characteristic of MMVD.
We next performed pseudotime trajectory analysis. VICs were ordered along a
continuum progressing toward the act-mVIC state (Supplemental Figure 4A-B). Along
this trajectory, expression of major ECM genes progressively increased, consistent with
a transition toward a profibrotic phenotype. Although pseudotime analysis does not
establish lineage hierarchy, these data are compatible with act-mVIC representing a
terminally activated disease-associated state.
To assess regional gene expression patterns, spatial transcriptomic profiling was
performed on mitral valve sections from C1039G and WT valves (21). Unsupervised
clustering identified five major clusters corresponding to ventricular cardiomyocytes,
atrial cardiomyocytes, blood cells, and two VIC populations (sp-mVIC1 and sp-mVIC2)
(Figure 3E and Supplemental Figure 4C). Among these, sp-mVIC1 was markedly
increased in C1039G valves and localized predominantly to the leaflet tip. Regions
enriched for sp-mVIC1 in C1039G valves exhibited elevated expression of major ECM-
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related genes, including Col1a1, Col3a1, Eln, and Has2 (Figure 3F). This transcriptional
profile of sp-mVIC1 resembled that of act-mVIC identified by scRNA-seq, although the
resolution of spatial transcriptomics precluded direct one-to-one mapping between
spatial and scRNA-seq clusters.
Ligand-receptor interaction analysis revealed increased intercellular
communication in C1039G valves compared with WT controls, predominantly driven by
ECM-integrin signaling (Figure 3G) (19,29). A collagen IV-centered communication
module was upregulated, with VIC-derived Col4a1 exhibiting increased predicted
interactions with matrix-sensing and mechanotransduction receptors, including Itga1-
Itgb1, Itgav-Itgb8, Cd44, and Sdc4. These predicted interactions are consistent with
enhanced integrin-dependent focal adhesion signaling and may facilitate force-mediated
activation of latent TGF-β within a mechanically remodeled matrix microenvironment
(30-32). Col4a1-associated signaling also extended to macrophages, where Sdc4 and
Cd44 displayed elevated interaction strength, suggesting enhanced matrix sensing
within collagen-enriched regions. In parallel, Gas6-Axl signaling was increased in VIC
populations, consistent with activation of pro-survival and profibrotic transcriptional
programs (33,34).
Together, these findings support a coordinated signaling framework in C1039G
valves in which VIC-driven ECM remodeling, integrin-mediated mechanotransduction,
and Gas6-Axl signaling converge to sustain the act-mVIC phenotype while promoting a
matrix-dependent immunoregulatory niche that maintains macrophage engagement and
reinforces a self-perpetuating profibrotic remodeling circuit characteristic of MMVD.
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Shared fibrotic remodeling and ECM disruption in human sporadic and Marfan-
associated MVP.
To determine whether findings from the murine C1039G model extend to human
disease, we analyzed mitral valve specimens from three groups: normal controls,
sporadic MVP, and Marfan-associated MVP.
Gross examination of normal mitral valves revealed thin, semitranslucent leaflets
with smooth surfaces and well-defined free margins. The anterior and posterior leaflets
were symmetric and pliable, with intact, slender chordae tendineae and preserved
overall architecture. In contrast, sporadic and Marfan-associated MVP specimens
exhibited leaflet thickening and enlargement, reduced translucency, and increased
tissue firmness, consistent with fibrotic remodeling (Figure 4A). These gross features
paralleled the structural abnormalities observed in C1039G valves. Because of current
surgical practices, samples from sporadic MVP primarily included leaflet tips and certain
mid-leaflet segments, whereas other valve specimens included entire leaflets. Care was
taken to ensure that anatomically comparable regions were analyzed across normal and
diseased samples.
Movat’s pentachrome staining was performed to assess ECM composition and
architectural organization of collagen, elastin, and GAGs. The mitral leaflet is classically
described as having a trilaminar structure (35). However, whole-leaflet Movat’s
pentachrome staining revealed that the leaflet tip exhibited a more complex structural
organization, characterized by an elastin-rich core encased by GAGs, forming a distinct
“GAG-elastin sandwich.” The mid-leaflet and basal regions displayed a more
conventional layered arrangement. In both sporadic and Marfan-associated MVP
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valves, this organized architecture was disrupted, with loss of normal layering, collagen-
rich expansion, ECM disorganization, and leaflet thickening (Figure 4B).
Collectively, these gross and histologic analyses demonstrate that sporadic and
Marfan-associated MVP share a common structural phenotype characterized by leaflet
thickening, collagen-dominant fibrotic remodeling, and disruption of normal ECM
organization, closely recapitulating the remodeling features observed in C1039G valves.
Activated human VIC subset drives fibrotic remodeling in sporadic MVP.
To further dissect the cellular heterogeneity underlying the observed structural
and matricellular changes, we performed scRNA-seq on sporadic MVP valve specimens
(Supplemental Table 2). Isolating viable single cells from human mitral leaflets was
technically challenging because of the dense ECM architecture. After stringent quality-
control filtering, 16,267 high-quality cells were retained for downstream analysis.
Unsupervised clustering followed by annotation using curated marker genes identified
five major cell types (Figure 5A-B) (17,18), including VICs, endothelial cells, T cells,
macrophages, and mast cells.
Unsupervised clustering of VICs revealed substantial transcriptional
heterogeneity (Figure 5C and Supplemental Figure 5A). A distinct VIC subset (cluster 0)
was characterized by marked enrichment of profibrotic and ECM-related genes,
including COL1A1, COL3A1, POSTN, ELN, FN1, and TGFB1 (Figure 5D). Cluster 0
was expanded in sporadic MVP relative to normal controls (Figure 5C) and displayed
significantly higher expression of representative profibrotic genes compared with normal
valves (Figure 5E).
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23
Immunofluorescence staining for major collagens showed increased collagen
deposition in sporadic MVP leaflets (Figure 5F) and RT-PCR analysis confirmed
increased expression of ECM components and ECM modulators in MVP (Supplemental
Figure 5B). Together, these findings identify a transcriptionally activated ECM-producing
VIC population associated with human sporadic MVP.
To further characterize functional programs within VIC clusters, we performed
gene set enrichment analysis (GSEA) using differentially expressed genes (DEGs) from
sporadic MVP versus normal valves. ECM-related pathways were significantly enriched
in sporadic MVP VICs (Supplemental Figure 6A). Metabolic pathway analysis revealed
enrichment of oxidative phosphorylation and TCA cycle in sporadic MVP VICs, whereas
glycolysis/gluconeogenesis-related signatures were relatively enriched in normal VICs
(Supplemental Figure 6B). Although functional metabolic flux was not directly measured,
this transcriptional pattern is consistent with increased mitochondrial oxidative
metabolism in MVP VICs, potentially supporting sustained ECM biosynthesis and matrix
remodeling demands.
Based on its coordinated ECM activation signature, metabolic reprogramming
profile, and proportional expansion in sporadic MVP, this VIC population (cluster 0) was
designated activated human VIC (act-hVIC).
To define regional transcriptional organization, spatial transcriptomic sequencing
was performed on human mitral valve sections (Supplemental Table 3). Unsupervised
clustering identified four major spatial clusters (Figure 5G). Profibrotic ECM-related
genes were preferentially enriched in spatial cluster 2, which was expanded in sporadic
MVP leaflets relative to normal controls (Figure 5H). This transcriptional profile
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24
resembled that of act-hVIC identified by scRNA-seq, although the resolution of spatial
transcriptomics precluded direct one-to-one mapping between spatial and single-cell
clusters.
Profibrotic and inflammatory remodeling characteristics of sporadic MVP.
Immunofluorescence staining demonstrated significant increased CD45⁺ immune
cell infiltration in sporadic MVP valves compared with normal controls (Figure 6A),
indicating enhanced inflammatory cell recruitment. Within macrophages, scRNA-seq
analysis revealed significantly elevated expression of TGFB1, TGFBR1, and TGFBR2 in
sporadic MVP specimens (Figure 6B), indicating activation of macrophage-associated
TGF-β signaling.
GSEA further demonstrated enrichment of pathways related to monocyte
chemotaxis, leukocyte activation, cell-cell adhesion, and migration in sporadic MVP
macrophages (Figure 6C), supporting an activated inflammatory phenotype.
Ligand-receptor interaction analysis demonstrated increased predicted
communication between macrophages and VICs in sporadic MVP compared with
normal valves (Figure 6D). ECM-integrin signaling was prominently enriched, including
collagen-integrin pairs (COL1A1/COL1A2-ITGA/ITGB), as well as FN1- and POSTN-
associated interactions. These findings are consistent with enhanced matrix-dependent
adhesion and integrin-mediated mechanotransduction within profibrotic VIC populations.
Notably, ECM ligand-integrin interactions also involved macrophages, suggesting
increased matrix sensing and adhesion within collagen- and periostin-rich
microenvironments.
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25
Collectively, these findings indicate strengthened reciprocal ECM-centered
communication between macrophages and VICs in sporadic MVP, consistent with
establishment of a self-reinforcing profibrotic remodeling niche.
Conserved profibrotic VIC subset is enriched in Marfan-associated MVP.
We next performed scRNA-seq on human Marfan-associated MVP specimens
(Supplemental Table 2). After stringent quality-control filtering, 12,901 high-quality cells
were retained for downstream analysis. Annotation using curated marker genes
identified the same five major cell populations observed in sporadic MVP (Figure 7A-B).
Unsupervised clustering of VICs revealed marked transcriptional heterogeneity
(Figure 7C and Supplemental Figure 7A). A distinct VIC subset (cluster 1) demonstrated
preferential enrichment of profibrotic and ECM-associated genes and was markedly
expanded in Marfan valves compared with normal controls (Figure 7C-D). Moreover,
this cluster exhibited significantly higher expression of these profibrotic genes in Marfan
valves relative to normal valves (Figure 7E).
GSEA of DEGs from Marfan-associated MVP versus normal valves within this
VIC cluster demonstrated significant enrichment of pathways related to ECM
organization and extracellular structure remodeling (Figure 7F), consistent with
activation of a conserved matrix-remodeling program. Metabolic pathway analysis
further revealed enrichment of oxidative phosphorylation and TCA cycle pathways in
Marfan-associated MVP, whereas glycolysis and gluconeogenesis signatures were
relatively enriched in normal valves (Supplemental Figure 7B).
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Based on its coordinated ECM activation signature, metabolic reprogramming
profile, and proportional expansion in Marfan-associated MVP, this VIC population
(cluster 1) was designated act-hVIC, consistent with the activated VIC population
identified in sporadic MVP.
Macrophages from Marfan-associated MVP valves exhibited significant
enrichment of pathways related to leukocyte activation, chemokine response, regulation
of cell adhesion, leukocyte migration, and ERK1/ERK2 signaling compared with normal
controls (Figure 7G). These transcriptional programs are consistent with an activated
inflammatory phenotype characterized by enhanced migratory capacity and
engagement of MAPK-associated signaling pathways (36).
Ligand-receptor interaction analysis demonstrated markedly increased predicted
signaling interactions between macrophages and VICs in Marfan-associated MVP
compared with normal valves (Figure 7H). Enhanced communication was predominantly
driven by ECM-integrin axes, including collagen-integrin (COL1A1/COL1A2-ITGA/ITGB)
and FN1-integrin interactions. These predicted interactions are compatible with
intensified matrix-dependent adhesion and integrin-mediated mechanotransduction
within remodeled leaflet regions (29).
Collectively, these findings indicate amplified reciprocal communication between
profibrotic VICs and activated macrophages in Marfan valves, consistent with
reinforcement of a fibro-inflammatory remodeling microenvironment.
Conserved activated VIC program is shared across human and murine MMVD.
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27
To directly compare transcriptional programs across species and disease
etiologies, we integrated scRNA-seq datasets from human mitral valves (normal,
sporadic MVP, and Marfan-associated MVP) and murine MMVD samples. We first
integrated datasets from human normal, sporadic MVP, and Marfan-associated MVP
valves (Figure 8A). Using curated marker genes, the same five major cell populations
were consistently identified (Figure 8B-C).
Fibrotic ECM-related genes, including COL1A1, COL3A1, ELN, and FN1 were
enriched within a distinct VIC population (Figure 8D), corresponding to the previously
defined activated, profibrotic VIC subset. Notably, act-hVIC populations identified in both
sporadic and Marfan-associated MVP localized to the same cluster after integration,
indicating convergence on a shared transcriptional state across disease etiologies.
This fibrotic VIC population exhibited significantly increased senescence
signature scores in diseased valves compared with normal controls (Figure 8E and
Supplemental Table 1), indicating enrichment of a senescence-associated
transcriptional program within the activated VIC compartment.
Notably, canonical myofibroblasts markers such as ACTA2 and MYH11 were
enriched within a separate VIC population and did not broadly overlap with this fibrotic
population (Figure 8F). Additional unsupervised clustering of VICs (Supplemental Figure
8) further demonstrated segregation between a profibrotic ECM-enriched cluster 2 and
a distinct cluster 5 enriched for canonical myofibroblast markers (Figure 8G).
Collectively, these findings indicate that disease-associated act-hVICs represent a
transcriptionally activated, profibrotic ECM-producing state that is molecularly distinct
from classical myofibroblast populations.
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28
Given leaflet thickening and increased mechanical stiffness observed in both
sporadic and Marfan-associated MVP valves, we evaluated whether pathological
calcification contributes to disease pathogenesis. Von Kossa and Alizarin Red staining
failed to demonstrate mineral deposition in sporadic or Marfan-associated mitral valves
(Supplemental Figure 9). High-resolution micro-computed tomography (micro-CT) also
did not detect calcified regions within diseased leaflets (Supplemental Video 1-4). These
findings indicate that leaflet stiffening in MMVD occurs in the absence of overt
calcification and is instead attributable primarily to fibrotic ECM remodeling and matrix
reorganization. It should be noted, however, that patients with evident calcification are
typically excluded from mitral valve repair surgery and therefore not present in our
surgical specimen. Although this does not exclude a role for calcification in mitral valve
diseases more broadly, our findings suggest that ECM components-particularly collagen
deposition and fibrosis-play a significant role in mitral valve disease progression.
To assess cross-species conservation, we next integrated human and murine
VIC datasets (Figure 8H). Representative profibrotic genes were consistently enriched
within a corresponding VIC population across species (Figure 8I), demonstrating strong
cross-species conservation of this activated transcriptional program. The human act-
hVIC population aligned transcriptionally with the murine act-mVIC cluster identified in
the Fbn1-deficient model, supporting the presence of a shared disease-associated VIC
state across sporadic MVP, Marfan-associated MVP, and murine MMVD.
Together, these findings establish that MMVD is characterized by a conserved
activated VIC program that transcends species and genetic etiology.
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29
Discussion
In this study, we constructed a cross-species, multimodal atlas of normal and
diseased mitral valves by integrating single-cell and spatial transcriptomics with
comprehensive histopathology in both murine model and human sporadic and Marfan-
associated MVP. Across species, we identified a conserved activated VIC subset
enriched within mechanically vulnerable leaflet tip regions. Rather than representing
diffuse global VIC activation, this subset forms a spatially restricted ECM-centered
signaling module characterized by enhanced matrix production and intensive ECM-
integrin-mediated crosstalk with macrophages. These findings refine the conceptual
framework of mitral valve disease as a spatially organized, VIC-driven network disorder.
Because of slender and elongated structure of the mitral leaflet, its full structural
complexity has historically been simplified into a trilaminar description (35). Whole-
leaflet Movat’s pentachrome staining instead reveals a more regionally specialized
organization aligned with biomechanical demands. The leaflet base contains two
functional layers: an upper elastin-rich layer (atrial side) provides elasticity while a lower
collagen-rich layer (ventricular side) confers tensile strength. The mid-leaflet transitions
into a tri-layered configuration with an elastin core flanked by collagen layers, balancing
flexibility and mechanical resilience. The leaflet tip contains a GAG-enriched domain
enveloping an elastin core, forming a compressible yet resilient structure that maintains
load-bearing capacity while preserving elastic recoil under repetitive mechanical stress.
In diseased valves, VIC activation preferentially occurs within this normally GAG-rich
region, leading to excessive ECM production, collagen accumulation, architectural
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distortion, and immune cell recruitment. These alterations disrupt matrix stratification
and mechanical homeostasis, thereby promoting progressive leaflet thickening.
Although MMVD has historically been described as a “myxomatous” disease, the
contribution of fibrosis-associated ECM remodeling to disease progression has
remained insufficiently defined. This knowledge gap partly reflects the technical
challenges of systematically profiling the mitral leaflet, whose thin and elongated
structure complicates comprehensive spatial analysis. A central finding of the present
study is the identification of fibrotic ECM remodeling as a prominent pathological feature
of MMVD. These data suggest that fibrosis represents an important structural and
mechanistic component of mitral valve disease beyond the classical myxomatous
description.
A significant finding of this study is the identification of an activated VIC state that
diverges from the canonical TGF-β-driven myofibroblast paradigm. Classical models
emphasize induction of contractile genes such as ACTA2, MYH11, and CNN1. In
contrast, the act-VIC population in both species shows strong enrichment for profibrotic
ECM synthesis genes (COL1A1, COL3A1, POSTN, and FN1) and matrix remodeling
programs without consistent upregulation of canonical myofibroblast markers (37). This
transcriptional configuration resembles matrifibrocyte-like states described in chronic
cardiac fibrosis, characterized by sustained ECM production rather than contractility
activation (37). Although definitive lineage relationships will require formal validation,
these data suggest that chronic mitral valve remodeling is mediated primarily by a
persistent ECM-producing VIC state rather than classical myofibroblast differentiation.
Therapeutically, this distinction suggests that targeting ECM production, matrix-receptor
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31
interactions, or inflammatory signaling may be more effective than strategies aimed
solely at suppressing classical myofibroblast differentiation.
Our findings further indicate that act-VICs exhibit coordinated senescence-
associated and metabolic transcriptional features (38-40). SenMayo signature scores
were selectively elevated in act-VIC populations across murine and human datasets,
supporting engagement of a senescence-like program. In parallel, pathway enrichment
analysis demonstrated increased representation of TCA cycle and oxidative
phosphorylation signatures. Although metabolic flux was not directly assessed, this
transcriptional enrichment is consistent with enhanced mitochondrial metabolic
engagement, potentially supporting the energetic and biosynthetic demands of
sustained ECM synthesis and matrix remodeling. Emerging evidence from fibrotic
disorders indicates that mitochondrial metabolic reprogramming can reinforce profibrotic
transcriptional states (41,42). Together, these findings suggest that VIC activation
involves coordinated transcriptional, metabolic, and senescence-associated remodeling
programs that may stabilize a persistent pathogenic state in MMVD. These observations
further raise the possibility that targeting metabolic or senescence-associated pathways
may have therapeutic value.
Ligand-receptor inference indicates that VIC-macrophage communication is
prominently enriched for ECM-integrin interactions. Collagen-integrin pairs
(COL1A1/COL1A2-ITGA1/ITGB1, COL4A1-ITGA1/ITGB1), periostin-integrin (POSTN-
ITGA5/ITGB5), and thrombospondin-CD47 (THBS-CD47) axes were prominently
enriched, along with additional integrin-associated signaling pathways (43-45). These
interactions provide a mechanistic framework linking matrix remodeling to
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32
mechanotransduction and immune activation. As act-VICs deposit collagen and other
ECM components, they reshape the mechanical and structural properties and ligand
landscape of the leaflet microenvironment, thereby enhancing integrin signaling in
macrophages and other stromal cells. Activated macrophages, in turn, produce
cytokines, chemokines, and profibrotic mediators that further amplify VIC activation and
ECM deposition (46,47). This establishes a feed-forward loop in which ECM remodeling
and immune activation reinforce one another, providing a mechanistic explanation for
progressive leaflet thickening in both genetic and sporadic disease contexts.
Spatial mapping at transcriptomic and protein levels further demonstrated that
pathogenic remodeling is regionally concentrated, particularly at leaflet tip regions rather
than uniformly distributed across the whole leaflet. In murine valves, act-mVICs localize
to thickened tip regions enriched for Col1a1, Col3a1, Eln, and Has2. In human valves,
act-hVIC clusters expanded within fibrotic regions interspersed with macrophage
infiltrates. These findings suggest that intrinsic regional heterogeneity, together with
localized mechanical stress (48,49), predisposes specific leaflet domains to ECM
degeneration. Disease progression therefore appears to arise from amplification of
regionally restricted signaling modules rather than uniform activation across the leaflet.
Across both species, a shared core signature emerges characterized by
expansion of a distinct profibrotic VIC population, increased macrophage abundance
with inflammatory and ECM-remodeling transcriptional profiles, and intensified VIC-
macrophage communication through ECM-integrin signaling axes. These conserved
features indicate that the act-VIC population represents a cross-species pathogenic
module operative in both genetic and non-syndromic mitral valve disease. From a
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33
translational perspective, these data support the C1039G model as a mechanistically
relevant platform for interrogating VIC- and macrophage-targeted interventions with
potential applicability to human MMVD.
Several limitations should be considered. First, upstream etiologies and
remodeling kinetics differ between species. The C1039G model represents a genetically
driven and relatively rapid remodeling process, whereas human MVP progresses over
years to decades. Chronic human disease likely involves additional ECM maturation,
immune adaptation, and cumulative mechanobiological remodeling that may not be fully
recapitulated in the murine system. Moreover, matrix composition differs between
species, with murine valves demonstrating coordinated increases in collagen, elastin,
and GAGs, whereas human MVP specimens show more collagen-dominant deposition.
These differences should be acknowledged despite the shared transcriptional program.
Second, human tissue availability imposes important constraints. Surgical mitral valve
specimens are limited to patients undergoing operative intervention and therefore may
not fully represent the broader clinical spectrum of MVP, particularly early or subclinical
stages. The current cohort also capture substantial biological heterogeneity across
patients, including differences in demographics, disease duration, and remodeling
stage. Because human valve remodeling is likely asynchronous, with multiple disease
phases coexisting within individual specimens, human VIC subsets may not segregate
into sharply defined functional states as observed in the murine model. Instead, their
transcriptional programs may exist along a continuum, making subtype-specific
functional assignments less distinct. Larger, stage-stratified studies with expanded
demographic representation and longitudinal sampling will be necessary to determine
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how act-VIC dynamics, immune infiltration, and ECM-integrin signaling networks evolve
over time. Third, spatial transcriptomic coverage in human valves was necessarily
restricted to pathologically relevant regions because of platform size limitations, and
region-specific programs outside the leaflet tip may therefore be underrepresented.
Fourth, spatial transcriptomic resolution does not achieve true single-cell assignment.
Fifth, trajectory inference approaches cannot establish definitive lineage relationships; in
vivo lineage tracing will be required to determine whether act-VICs arise from specific
baseline VIC subtypes or represent a distinct lineage.
In summary, integration of single-cell and spatial transcriptomic datasets across
murine and human mitral valves identifies a conserved activated VIC state that localizes
to mechanically vulnerable leaflet tip regions and orchestrates profibrotic remodeling
programs. These act-VICs engage in intensive ECM-integrin-mediated crosstalk with
macrophages, forming a self-reinforcing matrix-remodeling circuit that drives MMVD.
These findings refine the current paradigm of mitral valve disease from diffuse,
nonspecific myofibroblast activation toward a spatially organized, ECM-high VIC-
centered pathogenic network. The data nominate fibrosis-associated transcriptional
programs, chemokine signaling, integrin-dependent mechanotransduction, senescence-
associated pathways, and mitochondrial metabolic remodeling as candidate therapeutic
targets. Collectively, this cross-species analysis provides a mechanistic foundation and
translational framework for the development of therapeutic interventions in MMVD.
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Author contributions
YL, RF, and AG designed the study. FG, MD, YL, DZ, XL, MY and MZ conducted
experiments and acquired data. FG, MD, DZ, XL, MY, and YL analyzed RNA-seq data.
FG, IM, IH wrote and edited the manuscript. GF, YL, RF, GT, MK, and AG analyzed and
interpreted data, wrote and edited the manuscript.
Acknowledgements
This work was supported by Yale’s Department of Surgery William W.L. Glenn
endowed research fund. GF was partially supported by NIH R01 HL131872. YL was
supported by NIH R35 GM150838 and NIH R01 HL173271. RF was supported by NIH
UG3CA257393, UH3CA257393, U54AG076043, and U54AG079759. Abdulrahman
Hassab at Yale School of Medicine assisted with collection of clinical tissue samples
and clinical data.
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Figure 1. Structural and single-cell characterization of mitral valves in Fbn1-
deficient mice. (A) Gross morphology of mitral valve leaflets (upper panels). Green
dashed lines delineate leaflet boundaries. Representative Movat’s pentachrome staining
(lower panels) showing extracellular matrix (ECM) composition and architectural
organization. GAGs, glycosaminoglycans. (B) Representative echocardiographic
images showing mitral regurgitation (MR) in C1039G/+ mice compared with wild-type
(+/+) controls, with corresponding quantification of MR percentage. (C) UMAP
visualization of single-cell RNA-sequencing (scRNA-seq) data from +/+ and C1039G/+
mitral valves. (D) Violin plots showing expression of canonical marker genes across
major annotated valve cell populations. (E) UMAP colored by cell type, with bar plots
indicating the relative proportions of each cell population in +/+ and C1039G/+ valves.
(F-G) Representative immunofluorescence images of mitral valve sections stained for
endothelial cells (CD31), leukocytes (CD45), and macrophages (CD68), with
quantitative analysis. Data are shown as individual data points with mean ± SEM.
Statistical comparisons were performed using unpaired t test. **P<0.01.
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Figure 2. Transcriptional and spatial characterization of VIC subsets in Fbn1-
deficient mice. (A) UMAP projection showing unsupervised clustering of valvular
interstitial cells (VICs). Bar plots indicate the relative proportion of each VIC cluster in
+/+ and C1039G/+ valves. (B) Heatmap showing the top five differentially expressed
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genes (DEGs) in each VIC cluster in +/+ and C1039G/+ valves. (C) Heatmap of
representative genes across VIC clusters in WT valves only, highlighting extracellular
matrix (ECM) biosynthetic programs and proinflammatory transcriptional signatures. (D)
Representative immunofluorescence images demonstrating the spatial distribution of
distinct VIC subsets within mitral valve leaflets.
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Figure 3. Transcriptional and spatial characterization of VIC subsets in Fbn1-
deficient mice. (A) Representative Masson’s Trichrome (Trichrome) staining showing
marked morphological changes at the leaflet tip in C1039G/+ mice compared with +/+
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48
controls. (B) UMAP showing enrichment of representative ECM and profibrotic genes
within the mVIC1 cluster. (C) Boxplots quantifying expression of selected genes in
mVIC1 comparing +/+ and C1039G/+ valves. Data are shown as individual data points
with mean ± SEM. ****P < 0.0001, by Wilcoxon test. (D) Violin plots comparing
senescence-associated gene set scores in mVIC1 from +/+ and C1039G/+ mice. Data
are presented as individual data points with mean ± SEM. ****P < 0.0001, by Wilcoxon
test. (E) Spatial transcriptomic mapping of unsupervised clusters in mitral valves from
+/+ and C1039G/+ mice. Bar plots shows the relative proportions of spatial clusters
within the mitral valve leaflets. (F) Spatial transcriptomic feature maps demonstrating
expression of major ECM-related genes in +/+ and C1039G/+ valves. (G)
Representative ligand-receptor interaction networks upregulated in C1039G/+
compared with +/+ mitral valves. Edge thickness represents inferred interaction
strength.
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50
Figure 4. Structural and fibrotic features of sporadic and Marfan-associated mitral
valve prolapse. (A) Gross morphology of mitral valve leaflets with quantification of
maximal leaflet thickness. Sporadic MVP specimens consisted primarily of the leaflet tip,
whereas other valve types included the full-length leaflet. Data are presented as
individual data points with mean ± SEM. NS, not significant; ****P < 0.0001, by one-way
ANOVA or unpaired t test. (B) Representative Movat’s pentachrome-stained histological
sections illustrating ECM organization. The upper surface corresponds to the left atrial
side, and the lower surface corresponds to the left ventricular side. Leaflet regions are
labeled as tip, mid, and base.
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Figure 5. Integrated single-cell and spatial transcriptomic profiling of sporadic
MVP. (A) UMAP visualization of normal and sporadic MVP mitral valves, with bar plots
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indicating the relative proportions of major cell types. (B) Violin plots showing
expression of canonical marker genes across annotated valve cell populations. (C)
UMAP showing unsupervised clustering of VICs. Bar plots indicate the relative
proportions of each VIC cluster in normal and sporadic MVP valves. (D) UMAP
demonstrating enrichment of representative profibrotic genes within a shared VIC
cluster. (E) Boxplots quantifying expression of selected genes in the activated VIC
cluster comparing normal and sporadic MVP valves. Data are shown as individual data
points with mean ± SEM. Statistical significance was assessed using Wilcoxon test.
****P < 0.0001. (F) Representative immunofluorescence images of mitral valve sections
stained for collagen I and collagen III, with corresponding quantification. Data are
presented as individual data points with mean ± SEM. Statistical comparisons were
performed using unpaired t test. ****P < 0.0001. (G) Spatial transcriptomic analysis
showing unsupervised clustering of mitral valve sections. (H) Spatial expression
patterns of representative genes related to fibrosis.
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53
Figure 6. Inflammatory and profibrotic remodeling in sporadic MVP. (A) Representative
immunofluorescence images of CD45 staining in normal and sporadic MVP mitral valve leaflets,
with corresponding quantification. Data are presented as individual data points with mean ±
SEM. Statistical comparisons were performed using unpaired t test. ***P < 0.001. (B) Violin
plots comparing expression of representative profibrotic genes in macrophages from normal and
sporadic MVP valves. Data are shown as individual data points with mean ± SEM. Statistical
significance was assessed using Wilcoxon test. **P < 0.01; ***P < 0.001; ****P < 0.0001. (C)
GSEA of DEGs in macrophages from sporadic MVP compared with normal mitral valves. (D)
Representative ligand-receptor interaction networks upregulated in sporadic MVP compared
with normal mitral valves. Edge thickness represents inferred interaction strength.
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Figure 7. Single-cell transcriptomic analysis of Marfan-associated MVP. (A) UMAP
visualization of scRNA-seq data from normal and Marfan-associated MVP mitral valves, with bar
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plots indicating the relative proportions of major cell types. (B) Violin plots showing expression
of canonical marker genes across annotated valve cell populations. (C) UMAP showing
unsupervised clustering of VICs, with bar plots indicating the relative proportions of each VIC
cluster. (D) UMAP demonstrating enrichment of representative profibrotic genes within a shared
activated VIC cluster. (E) Boxplots quantifying expression of selected genes in the activated
human VIC cluster comparing normal and Marfan-associated MVP valves. Data are presented
as individual data points with mean ± SEM. Statistical significance was assessed using
Wilcoxon test. ****P < 0.0001. GSEA of DEGs in the activated VIC cluster (F) and macrophages
(G) from Marfan-associated MVP compared with normal mitral valves. (H) Representative
ligand-receptor interaction networks upregulated in Marfan-associated MVP relative to normal
mitral valves. Edge thickness represents inferred interaction strength.
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Figure 8. Cross-species integration showing conserved profibrotic VIC programs in
mitral valve disease. (A) UMAP visualization of integrated scRNA-seq data from normal,
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57
sporadic MVP, and Marfan-associated MVP mitral valves. (B) Violin plots depicting expression
of canonical marker genes across annotated valve cell populations. (C) UMAP highlighting
major cell types, with bar plots indicating the relative proportions of each cell population. (D)
UMAP demonstrating enrichment of representative profibrotic genes within a shared VIC
cluster. (E) Boxplot comparing SenMayo senescence signature scores in the activated human
VICs. Data are presented as individual data points with mean ± SEM. Statistical significance
was assessed using Wilcoxon test. **P < 0.01; ****P < 0.0001. (F) UMAP showing expression of
canonical myofibroblast markers across VIC populations. (G) Heatmap displaying
representative gene expression patterns across VIC clusters. (H) Cross-species UMAP
integration of VICs from mouse and human mitral valves. (I) UMAP demonstrating enrichment of
representative profibrotic genes within a shared VIC cluster cross-species.
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