Abstract
Pseudoxanthoma elasticum (PXE) is a rare disease characterized by ectopic calcification, however, despite the widely spread effect of pro/anti-calcifying systemic factors associated with this genetic metabolic condition, it is not known why elastic fibers in the same patient are mainly fragmented or highly mineralized in clinically unaffected (CUS) and affected (CAS) skin, respectively. Cellular morphology and secretome are investigated in vitro in CUS and CAS fibroblasts. Here we show that, compared to CUS, CAS fibroblasts exhibit: a) differently distributed and organized focal adhesions and stress fibers; b) modified cell-matrix interactions (i.e., collagen gel retraction); c) imbalance between matrix metalloproteinases and tissue inhibitor of metalloproteinases; d) differentially expressed pro- and anti-calcifying proteoglycans and elastic-fibers associated glycoproteins. These data emphasize that in the development of pathologic mineral deposition fibroblasts play an active role altering the stability of elastic fibers and of the extracellular matrix milieu creating a local microenvironment guiding the level of matrix remodeling at an extent that may lead to degradation (in CUS) or to degradation and calcification (in CAS) of the elastic component. In conclusion, this study contributes to a better understanding of the mechanisms of the mineral deposition that can be also associated with several inherited or age-related diseases (e.g., diabetes, atherosclerosis, chronic kidney diseases).
Subject terms: Skin diseases, Pathogenesis
An in vitro study on fibroblasts from clinically affected or unaffected skin of patients with Pseudoxanthoma elasticum indicates that local microenvironment guides the level of matrix remodeling and the extent of elastic fiber calcification.
Introduction
Ectopic calcification (EC), i.e., deposition of calcium salts within soft connective tissues, occurs in both acquired and genetic diseases, causing significant morbidity and mortality, and can be classified in metastatic or dystrophic if associated with elevated serum levels of calcium/phosphate or with damaged/diseased tissues, respectively1.
Pathological calcification is an active process in which different cell types (e.g., vascular smooth muscle cells, endothelial cells, fibroblasts) regulate mineral nucleation/growth through the production and secretion of an altered ratio of pro- and anti-calcifying molecules2–4 which have been already extensively investigated, nevertheless, pathways and pathogenic mechanisms of EC are still partially known.
Studies performed on Pseudoxanthoma elasticum (PXE), a rare genetic disorder characterized by EC5, demonstrated that calcification specifically affects elastic fibers in certain areas of organs/systems (e.g., skin, cardiovascular system, eyes)6,7. Investigations on blood samples and/or on fibroblasts from PXE patients, compared to healthy subjects, revealed that mineralization is associated with: mild chronic oxidative stress8–12, altered expression levels, and/or activity of pro- and anti-calcifying molecules (e.g., tissue-non-specific alkaline phosphatase, matrix Gla protein, inorganic pyrophosphate)13–15 and of matrix metalloproteinases (MMP) 2 and 916, activation of transforming growth factor-beta (TGF-β)/bone morphogenetic protein (BMP) pathway17–19, and mitochondrial bioenergetic abnormalities20,21. However, these findings, obtained by comparing samples from PXE and from healthy subjects, are not sufficient to clarify how, in PXE patients, only some elastic fibers become calcified even within the same tissue and why their amount is highly variable depending on the organ/system, despite the fact that the disease is considered an inherited metabolic disorder releasing soluble factors that should reach and affect whole soft connective tissues22.
Interestingly, it was recently demonstrated in PXE patients that in clinically unaffected skin (CUS; absence of papules and/or skin laxity) elastic fibers were altered, but calcification was a rare finding, in contrast abundant mineralization was typically observed in clinically affected skin (CAS; presence of papules and/or skin laxity)18.
Composition and organization of the extracellular matrix (ECM) determine how mesenchymal cells interact with and respond to their microenvironment23, therefore, changes in ECM modify tissue mechanical properties (i.e., matrix stiffness)24, and modulate cellular phenotype and function25. Several years ago it was demonstrated that PXE fibroblasts cultured from CAS had a different growth capacity compared to cells from CUS, suggesting that phenotypic differences may occur between CUS and CAS cells even in the same patient26.
Therefore, to better understand the phenotype of CUS and CAS fibroblasts and to get new light on their pathogenic role in the calcification process, we investigated: (i) the cellular morphology by light microscopy; (ii) the capacity to interact with the collagen substrate by confocal microscopy and by gel retraction assay; (iii) the protein profile of the secretome (i.e., proteins released by living cells in the culture medium) by liquid chromatography with tandem mass spectrometry (LC-MS/MS); (iv) the degradative potential and in vitro calcification by zymography and Alizarin red assay, respectively; (v) the expression of decorin and of high-mobility group box1 (HMGB1) by Western blot (WB) and of perlecan by dotblot; (vi) the effect of heparan sulfate and chondroitin sulfate on the in vitro mineralization of elastin fibrils; (vii) the expression of BMP-2 by quantitative real‐time‐polymerase chain reaction (qRT-PCR).
Results and discussion
CUS and CAS fibroblasts show changes in cell shape and ECM-cell interactions
It is known that different chemical/physical characteristics of the ECM and the interactions between cells and ECM influence cellular morphology27,28. Figure 1a shows CUS and CAS fibroblasts cultured on a collagen substrate to better highlight cell-matrix interactions. CUS cells were larger and flattened, whereas CAS fibroblasts showed a spindle-shaped and elongated phenotype. Area, perimeter, aspect ratio, and circularity were quantified by ImageJ software. Consistent with the observed differences in cell morphology, most shape descriptors were significantly different between cultured CUS and CAS fibroblasts (Table 1).
Table 1.
Parameters | CUS | CAS | p value |
---|---|---|---|
Morphometric descriptor of cell shape | |||
Area (μm2) | 2168 ± 1000 | 1821 ± 721 | p < 0.001 |
Perimeter (μm) | 494 ± 301 | 461 ± 195 | n.s. |
Aspect ratio (a.u.) | 3.02 ± 1.52 | 4.16 ± 2.35 | p < 0.0001 |
Circularity (0–1) (a.u.) | 0.17 ± 0.15 | 0.13 ± 0.10 | p < 0.0001 |
Morphological characterization of stress fibers | |||
Lenght (μm) | 106.1 ± 35.29 | 98.76 ± 32.13 | p < 0.0001 |
Width (μm) | 2.67 ± 0.66 | 2.76 ± 0.69 | p < 0.0001 |
Morphological characterization of focal adhesions | |||
Area (μm2) | 1.43 ± 0.28 | 1.33 ± 0.37 | p < 0.0001 |
Perimeter (μm) | 7.28 ± 1.30 | 7.42 ± 1.73 | n.s. |
Aspect ratio (a.u.) | 3.58 ± 0.74 | 3.13 ± 0.68 | p < 0.0001 |
Values represent means ± SD. n.s. no significant.
It is known that cell shape is related to changes in the cytoskeleton, a cytoplasmic interconnected network of protein filaments, and in the physical interactions between cells and ECM29. Major components of the cytoskeleton are stress fibers (SFs) composed of contractile actin bundles, which are usually connected at both ends to focal adhesions (FAs) represented by large macromolecular multiprotein assemblies.
By confocal microscopy, both SFs (Fig. 1b) and FAs were analyzed in all cell lines (Fig. 1b, c). Morphological parameters indicated that SFs were significantly shorter and thicker in CAS than in CUS fibroblasts (Table 1). The production of thick bundles of actin filaments is driven by ATP hydrolysis, possibly indicating that altered energy metabolism in PXE21,30 can impact on the cytoskeletal organization and on mechano-transduction signaling31,32.
Labeling of cells for paxillin, a typical component of FAs essential to their formation33, revealed, by confocal microscopy, that paxillin was mostly concentrated at the end of the long axis in CAS cells, whereas it was homogeneously distributed over the cell body in CUS fibroblasts (Fig. 1c). Furthermore, size and shape descriptors indicated that the area of FAs and the aspect ratio (length/width) of adhesions were significantly smaller in CAS than in CUS fibroblasts (Table 1). To be noted that these changes were not related to altered paxillin gene expression since CAS/CUS fold change was 1.00 ± 0.07, as evaluated by qRT-PCR.
However, the ratio between the area of FAs and the cell area in two cellular types (ratioCAS = 0.074 ± 0.002 vs. ratioCUS = 0.063 ± 0.002, p < 0.0001) indicates that the contact surface area in CAS fibroblasts is greater than that of CUS cells (i.e., an increase of 17%), suggesting a higher cellular tension associated with thicker SFs in CAS compared to CUS cells.
SFs, through FAs, connect the cytoskeleton to the ECM and their modification can trigger a different ECM remodeling34. An in vitro collagen gel contraction assay was used as a simple 3D model suitable for studying cell-ECM interactions and cellular contractility 35. Since contractile forces depend on both the number of cells embedded in the collagen gel and the collagen concentration36, these two parameters were kept constant in these experiments. Cell-populated collagen gels were physically detached from the dish soon after polymerization, leaving the collagen gel floating in the culture medium. Figure 1d shows the reduction of the gel area over time. The contraction of the free-floating gel occurred rapidly (i.e., few hours) for all cell lines, however, CAS fibroblasts generated greater contractile forces than CUS fibroblasts, as shown by the greater reduction of the collagen gel size (Fig. 1d). After 24 hours of culture, the gel size did not exhibit further changes (Fig. 1d). Indeed, the stress fibers disassemble over time since the isometric tension, typical of collagen gels attached to the dish, is lost in the free-floating gels37,38. Although previous studies reported a low ability of PXE fibroblasts to retract the collagen gel26,39, it is important to underline that, in the past, the comparison was made between fibroblasts from PXE patients and from healthy individuals, whereas in the present study fibroblasts were analyzed from CUS and CAS areas within the same PXE patients.
In summary, results indicate that CUS and CAS fibroblasts (i) exhibit a different morphology in standard culture conditions; (ii) are characterized by a different cell-tension property and cell-matrix interactions40; (iii) show changes in the distribution and organization of FAs and SFs. Indeed, the generation of SFs-mediated tension in fibroblasts can activate latent-transforming-growth factor β1, a multifunctional cytokine acting on ECM-homeostasis, on BMP-mediated osteogenic signaling as well as on cellular redox metabolism41. It could be suggested that, also in vivo, modifications in cell-matrix interactions and in the cytoskeletal organization can influence cell behavior and that changes in ECM may alter the stiffness of the tissues and the response of cells to mechanical stimuli (e.g., stretching, tensile strength), consistent, for instance, with the prevalence of skin alterations in flexural areas.
ECM molecules are differentially expressed by fibroblasts in CUS and CAS secretomes
Proteins released by living cells in the surrounding extracellular space (i.e., secretome) play a key role in regulating several physio-pathological processes, including EC4,42. Therefore, to the best of our knowledge, for the first time, the secretome of fibroblasts from three PXE patients was investigated by comparing CUS and CAS data within each patient to avoid inter-individual variability.
By mass spectrometry, 536 proteins were identified with at least one unique peptide (Supplementary Data 1). To provide a spatial context (i.e., polypeptide localization), proteins identified by LC-MS/MS were searched against the extracellular protein genes annotated in five public databases. 98% of proteins (i.e., 526/536) were found in at least one database: 514 in Vesiclepedia, 452 in ExoCarta, 240 in SignalP 6.0, 194 in UniprotkB and 118 in MatrisomeDB (Fig. 2a and Supplementary Data 1). The proteins found in this last database have been indicated as collagens, proteoglycans, glycoproteins, secreted factors, ECM-affiliated proteins, and ECM regulators.
To compare the relative abundance of secreted proteins from CUS and CAS fibroblasts, we used a label-free quantification based on the measure of precursor ion intensities of proteins that, for this purpose, were identified with at least two peptides (i.e., 486/536) to increase the accuracy of measurements43,44.
Most proteins did not change between CUS and CAS, but 50/486 proteins were differentially expressed proteins (DEPs) between the two conditions (Fig. 2b and Supplementary Data 2), in particular 23 and 27 were significantly down- and upregulated in CAS compared to CUS, respectively.
The score plot highlights differences between secretomes of CUS and CAS fibroblasts (Fig. 2c). The variables contributing the most to this separation are shown in Fig. 2d.
Potential lytic activity is higher in CAS than in CUS secretome
By LC-MS/MS analysis 58/486 proteases (n. 37) and protease inhibitors (n. 21) were quantified, of which 6/58 were DEPs (Supplementary Data 3).
Among differentially expressed proteases, an interesting role can be exerted by the proprotein convertase subtilisin kexin type 9 (PCSK9). Previous studies demonstrated that PCSK9 in cell lysates of PXE fibroblasts was significantly increased compared to healthy cells grown in serum-free condition30. In our experimental model a decrease of PCSK9 in CAS compared with CUS secretome was found. This molecule plays a key role in the regulation of LDL-cholesterol and of genes related to oxidative stress, inflammation, apoptosis45,46. Moreover, it is also involved in arterial medial and aortic valve mineralization47,48 and is overexpressed in smooth muscle cells (SMCs) cultured in a calcific environment48. Interestingly, the addition of recombinant human PCSK9 was shown ineffective on SMCs calcification, suggesting that is the intracellular PCSK9 able to promote a switch towards a pro-calcific phenotype48. Therefore, additional studies are foreseen to better investigate the possible role of the intracellular and secreted forms of PCSK9 in PXE and in the process of ectopic calcification.
Another interesting finding revealed the significant increase of MMP-1 and MMP-3 in CAS compared to CUS secretome. It is already known that PXE patients are characterized by higher circulating levels of MMP-2 and MMP-9 compared to healthy controls16, and that PXE fibroblasts, in comparison with healthy cells, show increased levels of MMP-1, MMP-2, and MMP-349,50, which are known to be active also on elastic fibers51. Although elastic fiber degradation has already been suggested in the pathogenesis of ectopic calcification in PXE52–54, most importantly, this study shows that the degradation potential is different between CAS and CUS, thus creating microenvironments locally altering matrix homeostasis.
Within this context, we have also observed a reduced expression of the ADAMTS-like protein 1 (ATL-1) in the CAS secretome. This protein is a secreted molecule structurally resembling the ADAMTS family of proteases, although it does not seem to be involved in proteolytic activities but in regulating ECM assembly and/or cell-matrix interactions55,56. These data may support the effect of altered matrix composition and/or organization on different cell-matrix interactions observed in CAS and CUS fibroblasts.
Regarding protease inhibitors detected in the secretome (21/58), several exhibited a downward trend in CAS (Supplementary Data 3), of these, the metalloproteinase inhibitor 1 was significantly reduced in CAS compared to CUS.
Taken all together, these results highlight that the ratio between proteases and protease inhibitors, important to determine the extension of ECM degradation, is different between CUS and CAS secretomes. It is conceivable that the increase of proteases and the decrease of proteinase inhibitors in CAS may induce greater degradation/fragmentation of ECM molecules, which in turn promote/influence the mineralization process.
Because the levels of enzyme expression do not always directly correspond to protease activity, the collagen zymography technique was used to assess the potential enzymatic activity57 of CUS and CAS secretomes. Figure 3a shows a representative gel from triplicate experiments in which several bands at different molecular weights were detectable in both CUS and CAS conditions. Densitometric analyses revealed that the potential lytic activity was significantly higher in CAS than in CUS (Fig. 3b).
To ascertain that the proteolytic potential in the CUS and CAS secretomes was able to degrade elastin, we used an in vitro model58 where fibrils made of insoluble elastin (ELN) were incubated with either standard culture medium (DMEM; absence of proteolytic enzymes) or with media conditioned by CUS or CAS fibroblasts. Morphological analyses, performed by light and scanning electron microscopy, showed that ELN fibrils incubated with DMEM exhibited a smooth surface, whereas ELN incubated with CUS and CAS conditioned media showed a damaged surface characterized by irregular cavities of different sizes (Fig. 4a). For a better evaluation of the surface of undigested and digested ELN fibrils, root mean square (RMS) roughness of peaks and valleys were measured. The mean value of RMS roughness shows a statistical difference among the three experimental conditions. In particular, ELN fibrillar surface changed from an overall smooth surface (i.e., DMEM condition) to a moderate (i.e., CUS condition) or to a marked roughness (i.e., CAS condition) (Fig. 4b). These results indicate that the proteolytic activity of the enzymes secreted in the culture medium by CUS and CAS fibroblasts is able to degrade at a different extent ELN, the major component of elastic fibers59.
It is well known that ELN has high affinity for calcium ions60–62 and from in vitro studies it was demonstrated that fragmentation/degradation of elastin fibrils is able to enhance the mineralization process58.
Therefore, ELN fibrils, undigested or digested with CUS or with CAS-conditioned media were then incubated with a calcifying medium for 72 hours and calcium concentration was quantified by Alizarin red assay. The degradation of ELN fibrils with CUS and CAS-conditioned media significantly increased the amount of calcium deposits by a factor of 2.3 and 4.0, respectively, when compared to undigested ELN. Interestingly, calcium levels were significantly higher after degradation with CAS- compared to CUS secretome (Fig. 4c).
It has been previously demonstrated that CAS fibroblasts have an increased proteolytic potential compared to healthy cells16,49 and that plasma and urine of PXE patients contain higher concentrations of desmosine and isodesmosine (biomarkers of elastin degradation) compared to healthy subjects52,63,64. Present data demonstrate differences between CUS and CAS cultured fibroblasts, and may suggest that, also in vivo, CUS and CAS resident fibroblasts may degrade elastic fibers at a different extent, i.e., lower in CUS than in CAS. These results are of particular interest as there is a strong correlation between elastic fiber degradation and mineralization58,65,66. Therefore, CUS and CAS fibroblasts, having a different capacity to secrete proteases and their inhibitors, can explain, at least partially, why in PXE not all elastic fibers are calcified even in the same tissue of the same subject.
Differentially expressed proteoglycans in CAS contribute to ectopic calcification
In the last years it has been demonstrated that proteoglycans, complex macromolecules composed of a core protein to which one or more glycosaminoglycans are covalently bound, play a key role in elastic fiber assembly (e.g., decorin, versican)67–69 and also in ectopic calcification (e.g., decorin, biglycan, versican)70–73.
We quantified 9 proteoglycans by LC-MS/MS (Supplementary Data 1) of which a basement membrane-specific heparan sulfate proteoglycan core protein (also known as perlecan), decorin and fibromodulin were differentially expressed between CUS and CAS (Supplementary Data 2).
Decorin is a chondroitin/dermatan sulfate-rich proteoglycan involved in elastic fiber assembly67 and in collagen fibrillogenesis with different effects depending on the contribution of other molecules and on the physicochemical conditions such as temperature, pH, and ionic strength74. Interestingly, decorin has been shown to be upregulated in fibroblasts from PXE patients compared to cells from healthy subjects75,76 and in calcifying cultures of aortic SMC, its overexpression/supplementation strongly increasing the calcification process77 possibly due to a direct binding of the proteoglycan to hydroxyapatite78. Consistently, present data revealed that decorin was upregulated in CAS compared to CUS secretome (Fig. 5a, Supplementary Data 2, and Supplementary Fig. 1a, b).
In contrast, fibromodulin, a keratan sulfate proteoglycan, was significantly downregulated in CAS vs CUS secretome. Loss of this molecule has been shown to increase the diameter of collagen fibrils and to impair dentin mineralization depending on the developmental stage in the mouse model79 and with opposing effects in the alveolar bone79 or in tendons80. To our knowledge there are no data concerning the effect of fibromodulin on dermal or on vascular calcification, therefore present data could open the way to additional studies to better understand the possible role of fibromodulin in the context of PXE.
Similarly, perlecan, a secreted heparan sulfate (HS) proteoglycan, was significantly reduced in CAS- compared to CUS secretome (Fig. 5b, Supplementary Fig. 1c and Supplementary Data 2). This proteoglycan was shown to be reduced in calcified arteries81 and to be involved in the formation/assembly of elastic fibers67,82–84 through the interaction between perlecan-HS chains and tropoelastin85 and/or fibrillin 183,86–88. Since perlecan plays a key role in elastic fiber stability, reduced perlecan availability in CAS may lead to the increased susceptibility of elastic fibers to proteolysis that is significantly higher in CAS- compared to CUS secretome.
Since the physical proprieties of proteoglycans are due to glycosaminoglycan chains, we investigated whether addition of different concentrations of glycosaminoglycans had effects on ELN calcification. For this purpose, we used an in vitro model allowing to evaluate the propensity of elastin per se to calcify, independently from the presence of cells. Indeed, ELN fibrils were coacervated in the absence or in the presence of different concentrations (from 5 to 200 μg) of HS or of chondroitin sulfate (CS), two glycosaminoglycans known to interact with elastic fiber83 and/or to affect proteinase activity89,90.
CS and HS did not affect the size of coacervated ELN fibrils, as observed by light microscopy, except for HS at higher concentration, that determined shorter ELN fibrils (Supplementary Fig. 2) and therefore this concentration was not tested in further experiments. The fact that, at the highest concentration, CS does not have the same effect of HS may be due not only to charge interactions but also to the sugar moieties present in HS that influences ELN coacervation91.
ELN fibrils, with or without HS, were digested with the CAS secretome and then incubated with a calcifying medium. Alizarin red assay showed that calcium deposition significantly increased with the decrease of HS concentration in ELN fibrils (Fig. 5c), thus demonstrating that HS protects elastin from calcification.
These data support the hypothesis that also in vivo changes in HS proteoglycans, such as perlecan, may contribute to modulate the mineralization of elastic fibers.
The same type of experiments was performed with CS, but Alizarin red staining did not reveal any significant difference in mineral deposition on ELN fibrils with or without CS (Fig. 5d). Although CS was shown to participate in biomineralization and to promote osteoblasts’ differentiation, the involvement of CS in the calcification process is still controversial92. Indeed, some studies indicate that CS promotes collagen calcification and apatite nucleation92, whereas, according to other Authors, this glycosaminoglycan inhibits the mineralization process93,94.
It is well known that glycosaminoglycans can regulate the self-assembly of tropoelastin, the precursor of elastin83 and that both HS and CS can modulate tropoelastin coacervation, however the effects of HS are more significant compared to those of CS86. Results from the present study underline the role of HS in the assembly of elastin fibrils and indicate that the presence of HS in the fibrils protects elastin from proteolysis and, therefore, from increased calcification.
It is well known that the composition of the ECM is highly variable depending on the functional requirement of the tissue or of specific areas within the same tissue95,96. Indeed, among matrix components, proteoglycans exhibit the highest variability depending on the developmental stage, on the organ/tissue considered, on the cell type involved in their synthesis, and on post-translational modifications97,98. Therefore, in the light of present data, it could be suggested that local changes in the expression of glycosaminoglycans/proteoglycans create either a “protective environment” or a “pro-osteogenic milieu”, thus explaining the presence of calcified elastic fibers in specific areas.
Differentially expressed proteins related to nuclear factor kappa B (NF-kB) pathway
Among DEPs we have also demonstrated the up-regulation of galectin-3, and of high-mobility group box1 (HMGB1) in CAS compared to CUS (Supplementary Data 2).
Galectin-3, a member of the β-galactoside-binding lectin family, is expressed in various tissues exerting multiple functions99, including the control of cell-matrix interactions100 and the osteogenic differentiation of vascular SMC and of valve interstitial cells101,102. Indeed, galectin-3 pharmacological inhibition blocks aortic valve calcification103. Some studies demonstrated that galectin-3 regulated calcification by modulating NF-kB, ERK1/2, or Wnt/β-catenin signaling pathways depending on the cell type or tissue101,102,104,105.
By LC-MS/MS and WB, HMGB1 was significantly increased in CAS compared to CUS (Fig. 6a, Supplementary Data 2 and Supplementary Fig. 1d, e). HMGB1 is a nuclear DNA-binding protein, but it can be secreted in the extracellular space, where it is able to interact with different receptors and interactors to mediate cell proliferation, differentiation, and migration. Moreover, HMGB1 plays an active role in inflammation, bone remodeling, and EC106. Wang and collaborators107 demonstrated that HMGB1 activated NF-kB pathway inducing the up-regulation of pro-osteogenic molecules and calcium deposition.
In light of these data, it can be suggested that galectin-3 and HMGB1 activate the transcription factor NF-kB, which, in turn, regulates BMP-2, a member of the TGF-β superfamily essential for osteogenesis and for ectopic calcification108,109. We have therefore assessed mRNA levels of BMP-2 in CUS and CAS fibroblasts by qRT-PCR. It has been previously demonstrated that BMP-2 was significantly upregulated in PXE fibroblasts compared to healthy cells19. Present data show that CAS fibroblasts have a significantly increased BMP-2 mRNA expression when compared to CUS cells (Fig. 6b). Since calcification is known to be associated with BMP-2 pathway activation109,110, it can be hypothesized that in vivo mineral deposition could be dependent on the level of BMP-2, as observed in cultured human SMC111.
Interestingly, both galectin-3 and HMGB1 are known to be related to clinical complications in aging, in diabetes and in chronic kidney disease, which are characterized by high propensity to EC112–114. Therefore, galectin-3 and HMGB1 could be new targets for therapeutic intervention against ectopic calcification, as already suggested for age-related diseases114.
Conclusions
Strengths of the study include the comparison of the secretome of fibroblasts from clinically affected (i.e., calcified) and non-affected (i.e., non-calcified) skin biopsies from the same PXE patients, thus avoiding inter-individual variability, and allowing to disclose factors capable to modulate local mineral deposition despite the widely spread effect of circulating pro/anti-calcifying factors associated with the genetic condition. Moreover, LC-MS/MS was used to identify and quantify a large number of molecules released by fibroblasts in the culture medium, and proteomic data were integrated with those from morphological and ultrastructural evaluations (i.e., light and confocal microscopy, scanning electron microscopy), zymography, qRT-PCR and in vitro tests.
However, the study has some limitations: (i) the low number of PXE patients, although it is worth remembering that PXE is a rare genetic disease, and it is not always possible to obtain biopsies from affected, and from unaffected skin of the same patient; (ii) in vitro experiments do not recapitulate the complexity of the natural in vivo environment.
Data indicate that cultured CUS and CAS fibroblasts exhibit different cell-matrix interactions and a modified organization of focal adhesions and of stress fibers. These changes are known to directly influence ECM remodeling and/or to affect transcriptional and translational regulation115,116. Consistently, cells synthesize and secrete in the extracellular space differentially expressed molecules (e.g., MMPs, metalloproteinase inhibitors, decorin, perlecan, galectin-3 and HMGB1) that contribute (i) to locally modify the extracellular environment, (ii) to alter the signals provided to cells by the extracellular compartment and consequently (iii) to create a microenvironment capable to favor or to inhibit the calcification process (Fig. 7).
In particular, altered stability of elastic fibers leads to fibers more susceptible to proteolysis. Degradation on one side exposes an increased number of calcium binding sites favoring mineral deposition, on the other side releases peptides/elastokines capable to stimulate a pro-osteogenic phenotype72,117,118. Mineral deposition, in turn, influences tissue stiffness and the different response of cells to local mechanical stimuli24.
Although cells and ECM remodeling are further affected by aging, oxygen availability, hormonal status, mechanical stress27,119, nevertheless, this study provides evidence that differentially expressed matrix and matrix-associated molecules are important factors in the development of ectopic calcification. Indeed, differentially expressed secreted proteins guide the level of ECM remodeling to an extent that may lead to degradation (in CUS) or to degradation and calcification (in CAS).
Methods
Cell culture
Human dermal fibroblasts were selected within the cryo-stored cell collection of the laboratory. Since females are more frequently affected by PXE compared to males (ratio 2:1)120, fibroblasts were isolated from clinically unaffected (arm = absence of papules and/or laxity) and affected skin (axilla = presence of papules and/or laxity) (Table 2) of three Caucasian Italian female patients affected by PXE (44 ± 10 yrs) after informed consent in accordance with the World Medical Association’s Declaration of Helsinki. From each bioptic sample, fibroblast cultures were established121, and were grown in 75 cm2 flasks (Nunc, Roskilde, Denmark) in Dulbecco modified eagle medium (DMEM) containing 10% fetal bovine serum122. All cell lines were used between the third and the seven passage.
Table 2.
Phenodex-FlorMore | |||||||
---|---|---|---|---|---|---|---|
Patient | Skin | Eye | Gastro intestinal | Vascular | Cardiac | Renal | |
#1 | 3 | 4 | 0 | 0 | 0 | 0 | |
#2 | 2 | 4 | 0 | 2 | 1 | 0 | |
#3 | 3 | 6 | 0 | 0 | 0 | 0 |
Axillary and arm areas show typical skin papules and laxity (CAS=clinically affected skin) and absence of skin alterations (CUS clinically unaffected skin), respectively. The Phenodex-FlorMore scoring system for the evaluation of PXE clinical manifestations. Image is published with the informed consent of the patient.
PXE diagnosis was made based on the phenotype (e.g., skin, ocular, and cardiovascular involvement) (Table 2) and molecular analysis of the ABCC6 gene (Table 3). All patients were compound heterozygous for rare pathogenic sequence variants (Table 3) already reported120.
Table 3.
ABCC6 gene mutation | ||||
---|---|---|---|---|
Patient | Intron/Exon | Nucleotide/Amino Acid variation | Intron/Exon | Nucleotide/Amino Acid variation |
#1 | 19 | c.2458 G > C; p.Ala820Pro | IVS26 | c.3736-1 G > A |
#2 | 23 | c.3088 C > T; p.Arg1030* | IVS17 | c.2248-2_2248-1delAG |
#3 | 12 | c.1553 G > A; p.Arg518Gln | 24 | c.3421 C > T; p.Arg1141* |
This study was approved by the Ethical Committee of the Faculty of Medicine of the University of Modena (protocol code #47/98 and #136/05) and all ethical regulations relevant to human research participants were followed.
Informed consent was obtained from the patient depicted in the image in Table 2 to publish the picture in this publication.
Morphological analysis by light microscopy
CUS and CAS fibroblasts were seeded on plates and cultured for 24 hours (at sub-confluence). Briefly, cells were fixed in 4% v/v paraformaldehyde in Dulbecco’s phosphate-buffered saline (DPBS) for 10 min, washed twice with DPBS, and stained with 1% toluidine blue123. Images were acquired using a Nikon DS-Fi1 (Nikon Corporation, Tokyo, Japan) camera coupled with a Zeiss Axiophot light microscope. Cell shape descriptors were obtained using Image software (v.1.53t) on 90 cells/sample. Area (total area of each cell), perimeter, aspect ratio (the ratio between the major and minor axis of a cell), and circularity [4π (area)/(perimeter2)] were calculated.
Immunofluorescence and morphometric analyses
CUS and CAS fibroblasts (1.5 × 103 cells/well) were seeded on 20 µg/ml collagen-I (A10483, Gibco) coated glass chamber slides. After 24 hours cells were fixed in 4% (v/v) paraformaldehyde in DPBS, permeabilized with 0.5% Tween-20 in DPBS for 20 min at room temperature (RT). Non-specific binding sites were blocked using 5% BSA in DPBS. Then, the cells were incubated overnight with rabbit anti-human paxillin (dilution 1:400, ab32115, Abcam) at 4 °C in a wet chamber. After washing, samples were incubated with the secondary antibody goat anti-rabbit AlexaFluor-594 (dilution 1:1000, ab150080, Abcam) for 45 min in the dark at RT. Nucleus and actin cytoskeleton staining were performed with 300 nM blue, fluorescent 4’, 6-diamidino-2-phenylindole (D1306, Thermo Fisher Scientific, MA, USA) and iFluor-488 conjugated phalloidin (1:1000, ab176753, Abcam), respectively. After a final washing step, the cells were observed with ×63 Plan-Apo oil immersion objective mounted on a Leica SP8 confocal microscope equipped with a white light laser. Shape descriptors of focal adhesion [i.e., area, perimeter, and shape factor, defined as 4π(area)/(perimeter)2] and of stress fibers (i.e., length and width) were calculated by ImageJ and by Focal Adhesion and Filament Cross-Correlation Kit (FAFCK), respectively124.
Total RNA isolation and cDNA synthesis
CUS and CAS fibroblasts were homogenized, and RNA was isolated using the Qiagen RNeasy mini-Kit (Qiagen, Valencia, CA, USA) following manufacturer’s instructions. The purity and concentration of RNA were evaluated using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific). The quality of RNA extraction was performed by measuring the optical density (260/280) absorption ratio of 1.8-2.2. 100 ng of each sample was used to synthesize cDNA using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Waltham, MA, USA).
Quantitative real‐time‐polymerase chain reaction (qRT-PCR)
Quantitative real-time PCR (qRT-PCR) was performed using CFX Connect Real-Time PCR detection system (Bio-Rad, Hercules, CA, USA). Each qRT-PCR sample was run in triplicate using TaqMan Universal Master MIX II (UNG) supplied by Applied Biosystems with specific TaqMan probe. Each reaction required 2.0 μL cDNA, 10 μl TaqMan Universal Master Mix II, 1 μl TaqMan probe, and 7 μl DNAse-RNase free water. After UNG incubation for 2 min at 50 °C and 10 min at 95 °C for polymerase activation, the qPCR protocol involves 40 cycles of denaturation (95 °C, 15 s), annealing, and elongation (60 °C 1 min). qRT-PCR was used to assess the expression of paxillin and BMP-2.
Before performing the paxillin and BMP-2 gene expression analysis, we identified the reference genes suitable for our experimental conditions, since it is kwon that most of common reference genes are not expressed consistently in all cells under some circumstances125. We evaluated the stability of eleven candidate reference genes (i.e., 18 S; ACTB; B2M; GAPDH; HMBS; HPRT1; RPL13A; SDHA; TBS; UBC and YWHAZ) in CUS and CAS conditions (Supplementary Fig. 3 and Supplementary Table 1). The stability of this gene panel was investigated using web-based tool RefFinder126 integrates four currently available computational programs: NormFinder127; geNorm125; Dela Cq128; BestKeeper129 (Supplementary Fig. 4). Under our experimental conditions RPL13A and SDHA gene expressions were the most stable and therefore used as internal controls for normalization125. The relative expression of paxillin and of BMP-2 was calculated applying the (2−∆∆Ct) method.
Collagen gel retraction
Collagen gels (2 mg protein/mL) were prepared using collagen solution (A10483, Thermo Fisher Scientific) neutralized by adding 0.1 M NaOH. Cells were added at a concentration of 105 cells/mL. The cell/collagen mixture was placed in 12 well plate and left to polymerize for 15 min at 37 °C. To create floating collagen gels, the edge of lattices was rimmed with a sterile pipette. Floating gels were covered with standard culture medium. Gel retraction was evaluated measuring the gel area within 48 hours using ImageJ.
Preparation of secretome
Fibroblasts were cultured until 80% confluence, then cellular monolayer was washed three times with DPBS to remove FBS and incubated with the same culture medium without FBS for additional 24 hours. The culture medium was collected, centrifuged at 1200 × g for 10 min at RT to remove all cellular debris and apoptotic bodies, then concentrated by ultrafiltration using Vivaspin-20 centrifugal filter device in polyethersulfone (nominal molecular weight limit, 10 kDa, Sartorius). The protein concentration was determined by the Bradford method130.
Protein digestion using filter-aided sample preparation (FASP) protocol
50 μg of proteins were reduced in 5 mM 1,4-dithioerythritol (DTE, Merck-Life Science, Darmstadt, Germany) at 60 °C for 30 min. Protein samples were combined with 200 μL of 8 M urea in 100 mM ammonium bicarbonate (AMBIC, pH 8.0), transferred to FASP filters and centrifuged for 20 min at 14,000 × g. Proteins were alkylated adding 100 μL of 15 mM iodoacetamide (IAA, Merck-Life Science) in 8 M urea. The membrane was washed 3× with 100 μL of 8 M urea for 20 min at 14,000 × g, then twice with 100 μL of 50 mM AMBIC centrifuging at 14,000 × g to remove the urea. Digestion was performed in 50 mM AMBIC containing 1 μg of trypsin overnight at 37 °C. Peptides were collected from the membrane by centrifuging for 20 min at 14,000 × g and samples were dried using a vacuum centrifuge.
Liquid chromatography with tandem mass spectrometry (LC-MS/MS) and data analysis
Peptides were resuspended in water/formic acid solution (95:3:2). A UHPLC ultimate 3000 system coupled online to a Q Exactive Hybrid Quadrupole-Orbitrap Mass Spectrometer (Thermo Fisher Scientific) was used43. All samples were run in technical quadruplicate in two independent experiments.
MS/MS ions search was performed using Comet search engine (v. 2021.01 rev. 0) integrated in Tran-Proteomic Pipeline (v. 6.0.0) converting raw MS/MS using default settings of msConvert ProteoWizard (v.3.0.1908) to MZML file123. Human reference protein datasets were downloaded from Uniprot (UP000005640), integrated with common serum contaminants (cRFP)131.
Sequences were reversed to generate decoy database. The selected parameters for protein identification were: (i) at least 1 unique peptide; (ii) static modification carbamidomethyl on cysteines (+57.021 Da), dynamic modifications oxidation on methionine and on proline (+15.995 Da), lysine oxidation to allysine (−1.0316 Da)58,132 and deamidation on asparagine and glutamine (+0.984 Da); (iii) precursor mass tolerance of 10 ppm, fragment mass tolerance of 0.02 Da; (iv) the maximum of missed trypsin cleavage sites of 1; (v) the minimum peptide length of 7; (vi) peptides were analyzed by PeptideProphet and the output refined using iProphet excluding number of sibling peptides (NSP) model; (vii) protein validation was performed using ProteinProphet on iProphet output123. Briefly, iProphet peptide results (.pepxml) were imported in Skyline-daily (v.21.0.9.139)43, to generate spectral libraries. Parameters settled were: (i) 0.99 as spectra cut-off score; (ii) precursor ion charge 2+, 3+, 4+; (iii) MS1 filters were set to “use high selectivity extraction” with a resolving power of 60,000 at 300 m/z; (iv) repeated and duplicate peptides were removed; (v) Fasta files containing proteins with 1% FDR were imported to Skyline to maintain and fix FDR; (vi) only proteins with at least two peptides were considered for quantitative analysis to avoid incorrect quantification across LC-MS runs123,133. Label-free quantification was performed using the Equalize medians normalization method and selecting high quality features. Proteins with log2 fold change ± 0.58 and an adjusted p values < 0.05 were considered as differentially expressed proteins (DEPs)123.
To verify the enrichment of the sample with secreted proteins, five databases were utilized: SignalP 6.0 (http://www.cbs.dtu.dk/services/SignalP/), which predicts the presence of signal peptides134, UniProtkB (secreted) (https://www.uniprot.org/), protein list located outside the cell membrane(s), Vesiclepedia (http://www.microvesicles.org) contains a list of proteins, lipids, RNA and metabolites identified in extracellular vesicles135,136, ExoCarta (http://www.exocarta.org/), an exosome database that provides with the contents identified in exosomes, and MatrisomeDB2.0 (https://matrisomedb.org/), a database that includes all structural ECM components and proteins that may directly or indirectly interact with the ECM43,95. Moreover, PantherDB (v. 17.0)137 was used to annotate protease or protease inhibitors identified in CUS and CAS secretomes.
Substrate zymography
For each sample, 15 μg of proteins/lane underwent electrophoresis at 4 °C under non-reducing conditions using a 7% SDS-PAGE containing 1% (w/v) collagen. After electrophoresis, gels were washed twice with renaturing solution [2.5% (v/v) Triton-X100 in 50 mM Tris-HCl (pH 8)] for 30 min at room temperature (RT). Gels were incubated in developing buffer (50 mM Tris-HCl, 100 mM NaCl, 10 mM CaCl2, pH 8.0) at 37 °C overnight and then immersed into 0.1% Coomassie Brilliant Blue in 45% (v/v) methanol and 10% (v/v) acetic acid and then incubated with a solution acetic acid, ethanol, and water (10:45:45). Collagenolytic activities were visualized as clear bands over blue background. Quantification of proteolytic activities on zymograms was performed by densitometry scanning and computer-assisted image analysis using the ImageJ software (v.1.53t).
Elastin fibrillar structure
Insoluble elastin (ELN) (1 mg/mL in ddH2O2) (Merck-Life Science; E-1625) was placed into sterile tubes at 37 °C for 72 hours to induce the hydration of ELN fibrillar structures. Fibrils were then incubated with standard culture medium (DMEM) or with CUS or CAS conditioned media (i.e., media containing fibroblasts’ released proteases) for 72 hours at 37 °C with 5% CO2, then these suspensions were used for coating, with 1 mL, 60 mm diameter plates. Plates were left to dry at RT, and the morphology of elastin fibrils observed with a Zeiss Axiophot light microscope and with a scanning electron microscope (FEI NOVA NanoSEM 450).
For the characterization of the surface of undigested and digested ELN fibrils, root mean square (RMS) roughness of the peaks and valleys were assessed using the SurfCharJ 1q plugin138 integrated in ImageJ.
Alizarin red staining (ARS)
Alizarin red staining was performed on ELN fibrils treated with DMEM or with conditioned media (see previous paragraph for details) and on ELN fibrils coacervated in the absence or in presence of different concentration of heparan sulfate (HS, Opocrin, Corlo-Italy) or of chondroitin sulfate A (Merck-Life Science; C9819) (i.e., 5, 50, 100, and 200 μg). Afterwards, 2 mL of DMEM without phenol red (Thermo Fisher Scientific) and fortified with Pi were added to each plate58. Incubation time was set at 72 hours, then plates were washed twice with PBS, fixed with 4% formaldehyde for 15 minutes at RT, washed again with ddH2O2 and stained with 40 mM ARS (pH 4.2) for 20 min at RT. After washing with ddH2O2, the dye was extracted, and solution read at 405 nm with a Multiskan FC Microplate Reader (Thermo Fisher Scientific) in 96 well plates. ARS concentration was determined by using a standard curve139.
Dot-blot and western blot (WB)
For perlecan quantitation, dot-blot was performed using 5μg of secretoma proteins in 2 μL of TRIS applied directly onto the nitrocellulose membrane (NcM) that was left to dry at RT for 30 minutes. The NcM was then rinsed with TBST (150 mM NaCl, 50 mM Tris, pH 7.5 plus 0.1% Tween-20) three times and blocked with 5% nonfat milk in TBST for 2 hours. The NcM was incubated with primary antibody (mouse anti-perlecan diluted 1:500; Thermo Fisher Scientific, cat n. 13-4400) for two hours at RT, then washed three times with TBST and incubated with the horseradish peroxidase-conjugated secondary antibody (sheep anti-mouse IgG diluted 1:5000; Abcam ab6808) for 30 minutes at RT. After washing with TBST, the NcM was treated with the ECL substrate solution for 5 minutes and inserted into the Amersham Imager 680 RGB (GE Healthcare) for chemiluminescence analysis. Control of the reaction comprised blots without the step of the incubation with primary antibody to check for non-specific secondary antibody binding to the sample.
For decorin and for HMGB1 quantitation, WB was performed using 20 μg of secretome proteins subjected to a denaturation step with Laemmli buffer, loaded on an 8% or 10% SDS-gel, respectively, and then transferred on NcM. Membranes were blocked in TBST + 5% nonfat dry milk for 1 hour at RT. Primary antibodies were diluted in TBST as follows: rabbit anti-decorin (dilution 1:1000; Abcam ab277643) and rabbit anti-HMGB1 (dilution 1:10000; Abcam ab79823). After washing in TBST, NcMs were incubated with a secondary antibody (donkey anti-rabbit IgG diluted 1:5000; Abcam ab6802). Western blots were visualized using the Amersham Imager 680 RGB (GE Healthcare) according to the manufacturer’s protocols. All WBs were stained with Ponceau S. Protein bands detected on WB by Ponceau S total protein staining or by antibody were quantified using ImageJ and then antibody signals were normalized with total protein stain140.
Statistics and reproducibility
Comparisons of data from the two groups (i.e., CUS and CAS) were done using Mann‒Whitney test. One-way ANOVA followed by Tukey’s posthoc analysis was used for multiple-group comparisons. Statistical analyses were performed using GraphPad Prism 8.0 software (San Diego, CA). Differences were considered significant for p < 0.05. Data are reported as boxplots showing the median (center line), interquartile range (bounds of box), the range of typical data values (whiskers). The number of biological replicates and the number of independent experiments are reported in figure legends.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Supplementary information
Acknowledgements
This study was funded by PXE Italia Odv (grant E93C22003210007 to DQ). We would like to express our thanks to the patients for their valuable collaboration. D.Q. is a member of the International Network on Ectopic Calcification (INTEC, www.itnintec.com).
Author contributions
F.B. designed the study; F.D.L., S.C. and M.L.S. performed the experiments; F.D.L. and F.B. analyzed data; D.Q. and F.B. wrote the manuscript. All authors have read and approved the final manuscript.
Data availability
The authors confirm that all the data supporting the findings of this study are available within the article and its Supplementary Data and Supplementary Information. Uncropped blots are shown in Supplementary Fig. 1. The source data behind the graphs in the main and Supplementary Figs. can be found in the Supplementary Data 4. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD048829.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Daniela Quaglino, Email: daniela.quaglino@unimore.it.
Federica Boraldi, Email: federica.boraldi@unimore.it.
Supplementary information
The online version contains supplementary material available at 10.1038/s42003-024-06283-6.
References
- 1.Li Q, Uitto J. Mineralization/anti-mineralization networks in the skin and vascular connective tissues. Am. J. Pathol. 2013;183:10–18. doi: 10.1016/j.ajpath.2013.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Giachelli CM. The emerging role of phosphate in vascular calcification. Kidney Int. 2009;75:890–897. doi: 10.1038/ki.2008.644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ronchetti I, Boraldi F, Annovi G, Cianciulli P, Quaglino D. Fibroblast involvement in soft connective tissue calcification. Front. Genet. 2013;4:22. doi: 10.3389/fgene.2013.00022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Li W, Su S, Chen J, Ma H, Xiang M. Emerging roles of fibroblasts in cardiovascular calcification. J. Cell Mol. Med. 2021;25:1808–1816. doi: 10.1111/jcmm.16150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Li Q, van de Wetering K, Uitto J. Pseudoxanthoma elasticum as a paradigm of heritable ectopic mineralization disorders: pathomechanisms and treatment development. Am. J. Pathol. 2019;189:216–225. doi: 10.1016/j.ajpath.2018.09.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Gheduzzi D, et al. Extracutaneous ultrastructural alterations in pseudoxanthoma elasticum. Ultrastruct. Pathol. 2003;27:375–384. doi: 10.1080/01913120390248584. [DOI] [PubMed] [Google Scholar]
- 7.Taverna D, Boraldi F, De Santis G, Caprioli RM, Quaglino D. Histology-directed and imaging mass spectrometry: an emerging technology in ectopic calcification. Bone. 2015;74:83–94. doi: 10.1016/j.bone.2015.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Pasquali-Ronchetti I, et al. Oxidative stress in fibroblasts from patients with pseudoxanthoma elasticum: possible role in the pathogenesis of clinical manifestations. J. Pathol. 2006;208:54–61. doi: 10.1002/path.1867. [DOI] [PubMed] [Google Scholar]
- 9.Boraldi F, Bartolomeo A, Li Q, Uitto J, Quaglino D. Changes in dermal fibroblasts from Abcc6(-/-) mice are present before and after the onset of ectopic tissue mineralization. J. Invest. Dermatol. 2014;134:1855–1861. doi: 10.1038/jid.2014.88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Garcia-Fernandez MI, et al. Parameters of oxidative stress are present in the circulation of PXE patients. Biochim. Biophys. Acta. 2008;1782:474–481. doi: 10.1016/j.bbadis.2008.05.001. [DOI] [PubMed] [Google Scholar]
- 11.Boraldi F, et al. Fibroblast protein profile analysis highlights the role of oxidative stress and vitamin K recycling in the pathogenesis of pseudoxanthoma elasticum. Proteom. Clin. Appl. 2009;3:1084–1098. doi: 10.1002/prca.200900007. [DOI] [PubMed] [Google Scholar]
- 12.Li Q, Jiang Q, Uitto J. Pseudoxanthoma elasticum: oxidative stress and antioxidant diet in a mouse model (Abcc6-/-) J. Invest. Dermatol. 2008;128:1160–1164. doi: 10.1038/sj.jid.5701145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Gheduzzi D, et al. Matrix Gla protein is involved in elastic fiber calcification in the dermis of pseudoxanthoma elasticum patients. Lab. Invest. 2007;87:998–1008. doi: 10.1038/labinvest.3700667. [DOI] [PubMed] [Google Scholar]
- 14.Contri MB, Boraldi F, Taparelli F, De Paepe A, Ronchetti IP. Matrix proteins with high affinity for calcium ions are associated with mineralization within the elastic fibers of pseudoxanthoma elasticum dermis. Am. J. Pathol. 1996;148:569–577. [PMC free article] [PubMed] [Google Scholar]
- 15.Boraldi F, Annovi G, Bartolomeo A, Quaglino D. Fibroblasts from patients affected by Pseudoxanthoma elasticum exhibit an altered PPi metabolism and are more responsive to pro-calcifying stimuli. J. Dermatol. Sci. 2014;74:72–80. doi: 10.1016/j.jdermsci.2013.12.008. [DOI] [PubMed] [Google Scholar]
- 16.Diekmann U, et al. Elevated circulating levels of matrix metalloproteinases MMP-2 and MMP-9 in pseudoxanthoma elasticum patients. J. Mol. Med. 2009;87:965–970. doi: 10.1007/s00109-009-0497-5. [DOI] [PubMed] [Google Scholar]
- 17.Boraldi F, et al. Exome sequencing and bioinformatic approaches reveals rare sequence variants involved in cell signalling and elastic fibre homeostasis: new evidence in the development of ectopic calcification. Cell Signal. 2019;59:131–140. doi: 10.1016/j.cellsig.2019.03.020. [DOI] [PubMed] [Google Scholar]
- 18.Boraldi F, Lofaro FD, Losi L, Quaglino D. Dermal alterations in clinically unaffected skin of pseudoxanthoma elasticum patients. J. Clin. Med. 2021;10:500. doi: 10.3390/jcm10030500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hosen MJ, Coucke PJ, Le Saux O, De Paepe A, Vanakker OM. Perturbation of specific pro-mineralizing signalling pathways in human and murine pseudoxanthoma elasticum. Orphanet J. Rare Dis. 2014;9:66. doi: 10.1186/1750-1172-9-66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Martin LJ, et al. ABCC6 localizes to the mitochondria-associated membrane. Circ. Res. 2012;111:516–520. doi: 10.1161/CIRCRESAHA.112.276667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Lofaro FD, et al. Relationship between mitochondrial structure and bioenergetics in pseudoxanthoma elasticum dermal fibroblasts. Front. Cell Dev. Biol. 2020;8:610266. doi: 10.3389/fcell.2020.610266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Jiang Q, Endo M, Dibra F, Wang K, Uitto J. Pseudoxanthoma elasticum is a metabolic disease. J. Invest. Dermatol. 2009;129:348–354. doi: 10.1038/jid.2008.212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Frantz C, Stewart KM, Weaver VM. The extracellular matrix at a glance. J. Cell Sci. 2010;123:4195–4200. doi: 10.1242/jcs.023820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ngai D, Lino M, Bendeck MP. Cell-matrix interactions and matricrine signaling in the pathogenesis of vascular calcification. Front. Cardiovasc. Med. 2018;5:174. doi: 10.3389/fcvm.2018.00174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Mouw JK, Ou G, Weaver VM. Extracellular matrix assembly: a multiscale deconstruction. Nat. Rev. Mol. Cell Biol. 2014;15:771–785. doi: 10.1038/nrm3902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Quaglino D, et al. Abnormal phenotype of in vitro dermal fibroblasts from patients with Pseudoxanthoma elasticum (PXE) Biochim. Biophys. Acta. 2000;1501:51–62. doi: 10.1016/S0925-4439(00)00007-7. [DOI] [PubMed] [Google Scholar]
- 27.Cox TR, Erler JT. Remodeling and homeostasis of the extracellular matrix: implications for fibrotic diseases and cancer. Dis. Model. Mech. 2011;4:165–178. doi: 10.1242/dmm.004077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Dede Eren A, et al. Self-agglomerated collagen patterns govern cell behaviour. Sci. Rep. 2021;11:1516. doi: 10.1038/s41598-021-81054-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Fletcher DA, Mullins RD. Cell mechanics and the cytoskeleton. Nature. 2010;463:485–492. doi: 10.1038/nature08908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kuzaj P, et al. Large-scaled metabolic profiling of human dermal fibroblasts derived from pseudoxanthoma elasticum patients and healthy controls. PLoS One. 2014;9:e108336. doi: 10.1371/journal.pone.0108336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wu M-C, et al. Early committed polarization of intracellular tension in response to cell shape determines the osteogenic differentiation of mesenchymal stromal cells. Acta Biomater. 2023;163:287–301. doi: 10.1016/j.actbio.2022.10.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Humphrey JD, Dufresne ER, Schwartz MA. Mechanotransduction and extracellular matrix homeostasis. Nat. Rev. Mol. Cell Biol. 2014;15:802–812. doi: 10.1038/nrm3896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Legerstee K, Houtsmuller AB. A layered view on focal adhesions. Biology. 2021;10:1189. doi: 10.3390/biology10111189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Martino F, Perestrelo AR, Vinarský V, Pagliari S, Forte G. Cellular mechanotransduction: from tension to function. Front. Physiol. 2018;9:824. doi: 10.3389/fphys.2018.00824. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Howard JC, et al. Elevated levels of β-catenin and fibronectin in three-dimensional collagen cultures of Dupuytren’s disease cells are regulated by tension in vitro. BMC Musculoskelet. Disord. 2003;4:16. doi: 10.1186/1471-2474-4-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Chieh H-F, et al. Effects of cell concentration and collagen concentration on contraction kinetics and mechanical properties in a bone marrow stromal cell-collagen construct. J. Biomed. Mater. Res. A. 2010;93:1132–1139. doi: 10.1002/jbm.a.32606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Grinnell F, Lamke CR. Reorganization of hydrated collagen lattices by human skin fibroblasts. J. Cell Sci. 1984;66:51–63. doi: 10.1242/jcs.66.1.51. [DOI] [PubMed] [Google Scholar]
- 38.Tomasek JJ, Haaksma CJ, Eddy RJ, Vaughan MB. Fibroblast contraction occurs on release of tension in attached collagen lattices: dependency on an organized actin cytoskeleton and serum. Anat. Rec. 1992;232:359–368. doi: 10.1002/ar.1092320305. [DOI] [PubMed] [Google Scholar]
- 39.Faust I, et al. Characterization of dermal myofibroblast differentiation in pseudoxanthoma elasticum. Exp. Cell Res. 2017;360:153–162. doi: 10.1016/j.yexcr.2017.09.001. [DOI] [PubMed] [Google Scholar]
- 40.Paszek MJ, et al. Tensional homeostasis and the malignant phenotype. Cancer Cell. 2005;8:241–254. doi: 10.1016/j.ccr.2005.08.010. [DOI] [PubMed] [Google Scholar]
- 41.Liu H, Chen Y-G. The interplay between TGF-β signaling and cell metabolism. Front. Cell Dev. Biol. 2022;10:846723. doi: 10.3389/fcell.2022.846723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Su H, Cantrell AC, Zeng H, Zhu S-H, Chen J-X. Emerging role of pericytes and their secretome in the heart. Cells. 2021;10:548. doi: 10.3390/cells10030548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Lofaro FD, et al. Age-related changes in the matrisome of the mouse skeletal muscle. Int. J. Mol. Sci. 2021;22:10564. doi: 10.3390/ijms221910564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Tsai T-H, et al. Selection of features with consistent profiles improves relative protein quantification in mass spectrometry experiments. Mol. Cell Proteom. 2020;19:944–959. doi: 10.1074/mcp.RA119.001792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Leopold JA. PCSK9 and calcific aortic valve stenosis. JACC Basic Transl. Sci. 2020;5:662–664. doi: 10.1016/j.jacbts.2020.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Sundararaman SS, Döring Y, van der Vorst EPC. PCSK9: a multi-faceted protein that is involved in cardiovascular biology. Biomedicines. 2021;9:793. doi: 10.3390/biomedicines9070793. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Perrot N, et al. Genetic and in vitro inhibition of PCSK9 and calcific aortic valve stenosis. JACC Basic Transl. Sci. 2020;5:649–661. doi: 10.1016/j.jacbts.2020.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Lupo MG, et al. PCSK9 promotes arterial medial calcification. Atherosclerosis. 2022;346:86–97. doi: 10.1016/j.atherosclerosis.2022.01.015. [DOI] [PubMed] [Google Scholar]
- 49.Quaglino D, et al. Dermal fibroblasts from pseudoxanthoma elasticum patients have raised MMP-2 degradative potential. Biochim. Biophys. Acta. 2005;1741:42–47. doi: 10.1016/j.bbadis.2004.09.012. [DOI] [PubMed] [Google Scholar]
- 50.Plümers R, Lindenkamp C, Osterhage MR, Knabbe C, Hendig D. Matrix metalloproteinases contribute to the calcification phenotype in pseudoxanthoma elasticum. Biomolecules. 2023;13:672. doi: 10.3390/biom13040672. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Chelladurai P, Seeger W, Pullamsetti SS. Matrix metalloproteinases and their inhibitors in pulmonary hypertension. Eur. Respir. J. 2012;40:766–782. doi: 10.1183/09031936.00209911. [DOI] [PubMed] [Google Scholar]
- 52.Bartstra JW, et al. Increased elastin degradation in pseudoxanthoma elasticum is associated with peripheral arterial disease independent of calcification. J. Clin. Med. 2020;9:2771. doi: 10.3390/jcm9092771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Hosen MJ, Lamoen A, De Paepe A, Vanakker OM. Histopathology of pseudoxanthoma elasticum and related disorders: histological hallmarks and diagnostic clues. Scientifica. 2012;2012:e598262. doi: 10.6064/2012/598262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Boraldi F, Tonelli M, Gheduzzi D, Ronchetti IP, Quaglino D. Identification of mineralized elastic fibers on wet samples by SEM. Microsc. Res. Tech. 2005;67:296–299. doi: 10.1002/jemt.20212. [DOI] [PubMed] [Google Scholar]
- 55.Hirohata S, et al. Punctin, a novel ADAMTS-like molecule, ADAMTSL-1, in extracellular matrix. J. Biol. Chem. 2002;277:12182–12189. doi: 10.1074/jbc.M109665200. [DOI] [PubMed] [Google Scholar]
- 56.Dubail J, Apte SS. Insights on ADAMTS proteases and ADAMTS-like proteins from mammalian genetics. Matrix Biol. 2015;44–46:24–37. doi: 10.1016/j.matbio.2015.03.001. [DOI] [PubMed] [Google Scholar]
- 57.Vandooren J, Geurts N, Martens E, Van den Steen PE, Opdenakker G. Zymography methods for visualizing hydrolytic enzymes. Nat. Methods. 2013;10:211–220. doi: 10.1038/nmeth.2371. [DOI] [PubMed] [Google Scholar]
- 58.Boraldi F, Moscarelli P, Lofaro FD, Sabia C, Quaglino D. The mineralization process of insoluble elastin fibrillar structures: Ionic environment vs degradation. Int. J. Biol. Macromol. 2020;149:693–706. doi: 10.1016/j.ijbiomac.2020.01.250. [DOI] [PubMed] [Google Scholar]
- 59.Wang K, Meng X, Guo Z. Elastin structure, synthesis, regulatory mechanism and relationship with cardiovascular diseases. Front. Cell Dev. Biol. 2021;9:596702. doi: 10.3389/fcell.2021.596702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Urry DW. Neutral sites for calcium ion binding to elastin and collagen: a charge neutralization theory for calcification and its relationship to atherosclerosis. Proc. Natl Acad. Sci. USA. 1971;68:810–814. doi: 10.1073/pnas.68.4.810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Hall DA. The reaction between elastase and elastic tissue. 1. The substrate. Biochem. J. 1955;59:459–465. doi: 10.1042/bj0590459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Molinari Tosatti MP, Gotte L, Moret V. Some features of the binding of calcium ions to elastin. Calcif. Tissue Res. 1971;6:329–334. doi: 10.1007/BF02196213. [DOI] [PubMed] [Google Scholar]
- 63.Annovazzi L, et al. High levels of desmosines in urine and plasma of patients with pseudoxanthoma elasticum. Eur. J. Clin. Invest. 2004;34:156–164. doi: 10.1111/j.1365-2362.2004.01306.x. [DOI] [PubMed] [Google Scholar]
- 64.Luisetti M, et al. Desmosine as a biomarker of elastin degradation in COPD: current status and future directions. Eur. Respir. J. 2008;32:1146–1157. doi: 10.1183/09031936.00174807. [DOI] [PubMed] [Google Scholar]
- 65.Andrault P-M, Panwar P, Mackenzie NCW, Brömme D. Elastolytic activity of cysteine cathepsins K, S, and V promotes vascular calcification. Sci. Rep. 2019;9:9682. doi: 10.1038/s41598-019-45918-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Basalyga DM, et al. Elastin degradation and calcification in an abdominal aorta injury model: role of matrix metalloproteinases. Circulation. 2004;110:3480–3487. doi: 10.1161/01.CIR.0000148367.08413.E9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Baccarani-Contri M, Vincenzi D, Cicchetti F, Mori G, Pasquali-Ronchetti I. Immunocytochemical localization of proteoglycans within normal elastin fibers. Eur. J. Cell Biol. 1990;53:305–312. [PubMed] [Google Scholar]
- 68.Zimmermann DR, Dours-Zimmermann MT, Schubert M, Bruckner-Tuderman L. Versican is expressed in the proliferating zone in the epidermis and in association with the elastic network of the dermis. J. Cell Biol. 1994;124:817–825. doi: 10.1083/jcb.124.5.817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Kielty CM, Whittaker SP, Shuttleworth CA. Fibrillin: evidence that chondroitin sulphate proteoglycans are components of microfibrils and associate with newly synthesised monomers. FEBS Lett. 1996;386:169–173. doi: 10.1016/0014-5793(96)00423-1. [DOI] [PubMed] [Google Scholar]
- 70.Wight TN. A role for proteoglycans in vascular disease. Matrix Biol. 2018;71–72:396–420. doi: 10.1016/j.matbio.2018.02.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Boraldi F, Lofaro FD, Quaglino D. Apoptosis in the extraosseous calcification process. Cells. 2021;10:131. doi: 10.3390/cells10010131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Quaglino D, Boraldi F, Lofaro FD. The biology of vascular calcification. Int. Rev. Cell Mol. Biol. 2020;354:261–353. doi: 10.1016/bs.ircmb.2020.02.007. [DOI] [PubMed] [Google Scholar]
- 73.Li S, et al. Exosomes from hyperglycemia-stimulated vascular endothelial cells contain versican that regulate calcification/senescence in vascular smooth muscle cells. Cell Biosci. 2019;9:1. doi: 10.1186/s13578-018-0263-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Raspanti M, Viola M, Sonaggere M, Tira ME, Tenni R. Collagen fibril structure is affected by collagen concentration and decorin. Biomacromolecules. 2007;8:2087–2091. doi: 10.1021/bm070091t. [DOI] [PubMed] [Google Scholar]
- 75.Tiozzo Costa R, et al. Pseudoxanthoma elasticum (PXE): ultrastructural and biochemical study on proteoglycan and proteoglycan-associated material produced by skin fibroblasts in vitro. Coll. Relat. Res. 1988;8:49–64. doi: 10.1016/S0174-173X(88)80035-9. [DOI] [PubMed] [Google Scholar]
- 76.Passi A, et al. Proteoglycan alterations in skin fibroblast cultures from patients affected with pseudoxanthoma elasticum. Cell Biochem. Funct. 1996;14:111–120. doi: 10.1002/cbf.653. [DOI] [PubMed] [Google Scholar]
- 77.Fischer JW, et al. Decorin promotes aortic smooth muscle cell calcification and colocalizes to calcified regions in human atherosclerotic lesions. Arterioscler. Thromb. Vasc. Biol. 2004;24:2391–2396. doi: 10.1161/01.ATV.0000147029.63303.28. [DOI] [PubMed] [Google Scholar]
- 78.Nazemi S, et al. Could decorin be a biomarker of coronary artery disease? A pilot study in human beings. Acta Biomed. 2018;89:365–369. doi: 10.23750/abm.v89i3.6024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Goldberg M, Septier D, Oldberg A, Young MF, Ameye LG. Fibromodulin-deficient mice display impaired collagen fibrillogenesis in predentin as well as altered dentin mineralization and enamel formation. J. Histochem. Cytochem. 2006;54:525–537. doi: 10.1369/jhc.5A6650.2005. [DOI] [PubMed] [Google Scholar]
- 80.Young MF, Bi Y, Ameye L, Chen X-D. Biglycan knockout mice: new models for musculoskeletal diseases. Glycoconj. J. 2002;19:257–262. doi: 10.1023/A:1025336114352. [DOI] [PubMed] [Google Scholar]
- 81.Shibata M, et al. Reduced expression of perlecan in the aorta of secondary hyperparathyroidism model rats with medial calcification. Ren. Fail. 2010;32:214–223. doi: 10.3109/08860220903367544. [DOI] [PubMed] [Google Scholar]
- 82.Annovi G, et al. Heparan sulfate affects elastin deposition in fibroblasts cultured from donors of different ages. Rejuvenation Res. 2012;15:22–31. doi: 10.1089/rej.2011.1182. [DOI] [PubMed] [Google Scholar]
- 83.Gheduzzi D, et al. Heparan sulphate interacts with tropoelastin, with some tropoelastin peptides and is present in human dermis elastic fibers. Matrix Biol. 2005;24:15–25. doi: 10.1016/j.matbio.2004.12.001. [DOI] [PubMed] [Google Scholar]
- 84.Nakashima Y, Sueishi K. Alteration of elastic architecture in the lathyritic rat aorta implies the pathogenesis of aortic dissecting aneurysm. Am. J. Pathol. 1992;140:959–969. [PMC free article] [PubMed] [Google Scholar]
- 85.Hayes AJ, et al. Colocalization in vivo and association in vitro of perlecan and elastin. Histochem. Cell Biol. 2011;136:437–454. doi: 10.1007/s00418-011-0854-7. [DOI] [PubMed] [Google Scholar]
- 86.Broekelmann TJ, et al. Tropoelastin interacts with cell-surface glycosaminoglycans via its COOH-terminal domain. J. Biol. Chem. 2005;280:40939–40947. doi: 10.1074/jbc.M507309200. [DOI] [PubMed] [Google Scholar]
- 87.Brown-Augsburger P, et al. Microfibril-associated glycoprotein binds to the carboxyl-terminal domain of tropoelastin and is a substrate for transglutaminase. J. Biol. Chem. 1994;269:28443–28449. doi: 10.1016/S0021-9258(18)46947-5. [DOI] [PubMed] [Google Scholar]
- 88.Sasaki T, et al. Tropoelastin binding to fibulins, nidogen-2 and other extracellular matrix proteins. FEBS Lett. 1999;460:280–284. doi: 10.1016/S0014-5793(99)01362-9. [DOI] [PubMed] [Google Scholar]
- 89.Tocchi A, Parks WC. Functional interactions between matrix metalloproteinases and glycosaminoglycans. FEBS J. 2013;280:2332–2341. doi: 10.1111/febs.12198. [DOI] [PubMed] [Google Scholar]
- 90.Grant D, Long WF, Williamson FB. Inhibition by glycosaminoglycans of CaCO3 (calcite) crystallization. Biochem J. 1989;259:41–45. doi: 10.1042/bj2590041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Kozel BA, Ciliberto CH, Mecham RP. Deposition of tropoelastin into the extracellular matrix requires a competent elastic fiber scaffold but not live cells. Matrix Biol. 2004;23:23–34. doi: 10.1016/j.matbio.2004.02.004. [DOI] [PubMed] [Google Scholar]
- 92.He H, et al. Promotion effect of immobilized chondroitin sulfate on intrafibrillar mineralization of collagen. Carbohydr. Polym. 2020;229:115547. doi: 10.1016/j.carbpol.2019.115547. [DOI] [PubMed] [Google Scholar]
- 93.Tenenbaum HC, Hunter GK. Chondroitin sulfate inhibits calcification of bone formed in vitro. Bone Miner. 1987;2:43–51. [PubMed] [Google Scholar]
- 94.Hunter GK, Szigety SK. Effects of proteoglycan on hydroxyapatite formation under non-steady-state and pseudo-steady-state conditions. Matrix. 1992;12:362–368. doi: 10.1016/S0934-8832(11)80032-6. [DOI] [PubMed] [Google Scholar]
- 95.Naba A, et al. The extracellular matrix: tools and insights for the ‘omics’ era. Matrix Biol. 2016;49:10–24. doi: 10.1016/j.matbio.2015.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Randles M, Lennon R. Applying proteomics to investigate extracellular matrix in health and disease. Curr. Top. Membr. 2015;76:171–196. doi: 10.1016/bs.ctm.2015.06.001. [DOI] [PubMed] [Google Scholar]
- 97.Lu P, Takai K, Weaver VM, Werb Z. Extracellular matrix degradation and remodeling in development and disease. Cold Spring Harb. Perspect. Biol. 2011;3:a005058. doi: 10.1101/cshperspect.a005058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Chuang CY, Degendorfer G, Davies MJ. Oxidation and modification of extracellular matrix and its role in disease. Free Radic. Res. 2014;48:970–989. doi: 10.3109/10715762.2014.920087. [DOI] [PubMed] [Google Scholar]
- 99.Gao Z, et al. Galectin-3 is a potential mediator for atherosclerosis. J. Immunol. Res. 2020;2020:5284728. doi: 10.1155/2020/5284728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Ochieng J, Leite-Browning ML, Warfield P. Regulation of cellular adhesion to extracellular matrix proteins by galectin-3. Biochem. Biophys. Res. Commun. 1998;246:788–791. doi: 10.1006/bbrc.1998.8708. [DOI] [PubMed] [Google Scholar]
- 101.Cai Y, Sun Z, Shao C, Wang Z, Li L. Role of galectin-3 in vascular calcification. Glycoconj. J. 2023;40:149–158. doi: 10.1007/s10719-023-10106-x. [DOI] [PubMed] [Google Scholar]
- 102.Luo J, et al. Galectin-3 promotes calcification of human aortic valve interstitial cells via the NF-kappa B signaling pathway. Cardiovasc. Diagn. Ther. 2022;12:196–207. doi: 10.21037/cdt-21-506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Ibarrola J, et al. Beneficial effects of galectin-3 blockade in vascular and aortic valve alterations in an experimental pressure overload model. Int J. Mol. Sci. 2017;18:1664. doi: 10.3390/ijms18081664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Huang Y, et al. The natural compound andrographolide inhibits human aortic valve interstitial cell calcification via the NF-kappa B/Akt/ERK pathway. Biomed. Pharmacother. 2020;125:109985. doi: 10.1016/j.biopha.2020.109985. [DOI] [PubMed] [Google Scholar]
- 105.Kim J-H, et al. Mediating effect of vascular calcification in galectin-3-related mortality in hemodialysis patients. Sci. Rep. 2024;14:939. doi: 10.1038/s41598-024-51383-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Chen Q, Wang Z-Y, Chen L-Y, Hu H-Y. Roles of high mobility group box 1 in cardiovascular calcification. Cell Physiol. Biochem. 2017;42:427–440. doi: 10.1159/000477591. [DOI] [PubMed] [Google Scholar]
- 107.Wang B, et al. High-mobility group box-1 protein induces osteogenic phenotype changes in aortic valve interstitial cells. J. Thorac. Cardiovasc. Surg. 2016;151:255–262. doi: 10.1016/j.jtcvs.2015.09.077. [DOI] [PubMed] [Google Scholar]
- 108.Katagiri T, Watabe T. Bone morphogenetic proteins. Cold Spring Harb. Perspect. Biol. 2016;8:a021899. doi: 10.1101/cshperspect.a021899. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Rennenberg RJ, Schurgers LJ, Kroon AA, Stehouwer CD. Arterial calcifications. J. Cell. Mol. Med. 2010;14:2203–2210. doi: 10.1111/j.1582-4934.2010.01139.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Yang P, et al. The role of bone morphogenetic protein signaling in vascular calcification. Bone. 2020;141:115542. doi: 10.1016/j.bone.2020.115542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Li X, Yang H-Y, Giachelli CM. BMP-2 promotes phosphate uptake, phenotypic modulation, and calcification of human vascular smooth muscle cells. Atherosclerosis. 2008;199:271–277. doi: 10.1016/j.atherosclerosis.2007.11.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Sanchis-Gomar F, et al. Galectin-3, osteopontin and successful aging. Clin. Chem. Lab. Med. 2016;54:873–877. doi: 10.1515/cclm-2015-0821. [DOI] [PubMed] [Google Scholar]
- 113.Li Y, Li T, Zhou Z, Xiao Y. Emerging roles of Galectin-3 in diabetes and diabetes complications: a snapshot. Rev. Endocr. Metab. Disord. 2022;23:569–577. doi: 10.1007/s11154-021-09704-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Liu T, et al. Targeting HMGB1: a potential therapeutic strategy for chronic kidney disease. Int. J. Biol. Sci. 2023;19:5020–5035. doi: 10.7150/ijbs.87964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Wagh K, et al. Mechanical regulation of transcription: recent advances. Trends Cell Biol. 2021;31:457–472. doi: 10.1016/j.tcb.2021.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Wang N, Tytell JD, Ingber DE. Mechanotransduction at a distance: mechanically coupling the extracellular matrix with the nucleus. Nat. Rev. Mol. Cell Biol. 2009;10:75–82. doi: 10.1038/nrm2594. [DOI] [PubMed] [Google Scholar]
- 117.Duca L, et al. Matrix ageing and vascular impacts: focus on elastin fragmentation. Cardiovasc. Res. 2016;110:298–308. doi: 10.1093/cvr/cvw061. [DOI] [PubMed] [Google Scholar]
- 118.Simionescu A, Philips K, Vyavahare N. Elastin-derived peptides and TGF-beta1 induce osteogenic responses in smooth muscle cells. Biochem. Biophys. Res. Commun. 2005;334:524–532. doi: 10.1016/j.bbrc.2005.06.119. [DOI] [PubMed] [Google Scholar]
- 119.Birch HL. Extracellular matrix and ageing. Subcell. Biochem. 2018;90:169–190. doi: 10.1007/978-981-13-2835-0_7. [DOI] [PubMed] [Google Scholar]
- 120.Boraldi F, et al. Phenotypic features and genetic findings in a cohort of Italian pseudoxanthoma elasticum patients and update of the ophthalmologic evaluation score. J. Clin. Med. 2021;10:2710. doi: 10.3390/jcm10122710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Rittié L, Fisher GJ. Isolation and culture of skin fibroblasts. Methods Mol. Med. 2005;117:83–98. doi: 10.1385/1-59259-940-0:083. [DOI] [PubMed] [Google Scholar]
- 122.Boraldi F, et al. Multidrug resistance protein-6 (MRP6) in human dermal fibroblasts. Comparison between cells from normal subjects and from Pseudoxanthoma elasticum patients. Matrix Biol. 2003;22:491–500. doi: 10.1016/j.matbio.2003.09.001. [DOI] [PubMed] [Google Scholar]
- 123.Zanini G, et al. Mitochondrial and endoplasmic reticulum alterations in a case of amyotrophic lateral sclerosis caused by TDP-43 A382T mutation. Int. J. Mol. Sci. 2022;23:11881. doi: 10.3390/ijms231911881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Hauke L, Narasimhan S, Primeßnig A, Kaverina I, Rehfeldt F. A focal adhesion filament cross-correlation kit for fast, automated segmentation and correlation of focal adhesions and actin stress fibers in cells. PLoS ONE. 2021;16:e0250749. doi: 10.1371/journal.pone.0250749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Vandesompele J, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002;3:RESEARCH0034. doi: 10.1186/gb-2002-3-7-research0034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Xie F, Wang J, Zhang B. RefFinder: a web-based tool for comprehensively analyzing and identifying reference genes. Funct. Integr. Genomics. 2023;23:125. doi: 10.1007/s10142-023-01055-7. [DOI] [PubMed] [Google Scholar]
- 127.Andersen CL, Jensen JL, Ørntoft TF. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 2004;64:5245–5250. doi: 10.1158/0008-5472.CAN-04-0496. [DOI] [PubMed] [Google Scholar]
- 128.Silver N, Best S, Jiang J, Thein SL. Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR. BMC Mol. Biol. 2006;7:33. doi: 10.1186/1471-2199-7-33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: bestkeeper-excel-based tool using pair-wise correlations. Biotechnol. Lett. 2004;26:509–515. doi: 10.1023/B:BILE.0000019559.84305.47. [DOI] [PubMed] [Google Scholar]
- 130.Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 1976;72:248–254. doi: 10.1016/0003-2697(76)90527-3. [DOI] [PubMed] [Google Scholar]
- 131.Shin J, et al. Common repository of FBS proteins (cRFP) to be added to a search database for mass spectrometric analysis of cell secretome. J. Proteome Res. 2019;18:3800–3806. doi: 10.1021/acs.jproteome.9b00475. [DOI] [PubMed] [Google Scholar]
- 132.Naba A, et al. Characterization of the extracellular matrix of normal and diseased tissues using proteomics. J. Proteome Res. 2017;16:3083–3091. doi: 10.1021/acs.jproteome.7b00191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Zahn JM, et al. Transcriptional profiling of aging in human muscle reveals a common aging signature. PLOS Genet. 2006;2:e115. doi: 10.1371/journal.pgen.0020115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Teufel F, et al. SignalP 6.0 predicts all five types of signal peptides using protein language models. Nat. Biotechnol. 2022;40:1023–1025. doi: 10.1038/s41587-021-01156-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Pathan M, et al. Vesiclepedia 2019: a compendium of RNA, proteins, lipids and metabolites in extracellular vesicles. Nucleic Acids Res. 2019;47:D516–D519. doi: 10.1093/nar/gky1029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Chitti, S. V. et al. Vesiclepedia 2024: an extracellular vesicles and extracellular particles repository. Nucleic Acids Res.52, D1694–D1698 (2024). [DOI] [PMC free article] [PubMed]
- 137.Thomas PD, et al. PANTHER: Making genome‐scale phylogenetics accessible to all. Protein Sci. 2022;31:8–22. doi: 10.1002/pro.4218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Chinga G, Johnsen PO, Dougherty R, Berli EL, Walter J. Quantification of the 3D microstructure of SC surfaces. J. Microsc. 2007;227:254–265. doi: 10.1111/j.1365-2818.2007.01809.x. [DOI] [PubMed] [Google Scholar]
- 139.Gregory CA, Grady Gunn W, Peister A, Prockop DJ. An Alizarin red-based assay of mineralization by adherent cells in culture: comparison with cetylpyridinium chloride extraction. Anal. Biochem. 2004;329:77–84. doi: 10.1016/j.ab.2004.02.002. [DOI] [PubMed] [Google Scholar]
- 140.Sander H, Wallace S, Plouse R, Tiwari S, Gomes AV. Ponceau S waste: Ponceau S staining for total protein normalization. Anal. Biochem. 2019;575:44–53. doi: 10.1016/j.ab.2019.03.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The authors confirm that all the data supporting the findings of this study are available within the article and its Supplementary Data and Supplementary Information. Uncropped blots are shown in Supplementary Fig. 1. The source data behind the graphs in the main and Supplementary Figs. can be found in the Supplementary Data 4. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD048829.