Skip to main content

ORIGINAL RESEARCH article

Front. Vet. Sci., 28 March 2024
Sec. Veterinary Regenerative Medicine
Volume 11 - 2024 | https://doi.org/10.3389/fvets.2024.1387174

In vitro aging alters the gene expression and secretome composition of canine adipose-derived mesenchymal stem cells

Marina Prišlin1* Ana Butorac2 Rea Bertoša2 Valentina Kunić1 Ivana Ljolje3 Petar Kostešić4 Dunja Vlahović5 Šimun Naletilić5 Nenad Turk6 Dragan Brnić1*
  • 1Virology Department, Croatian Veterinary Institute, Zagreb, Croatia
  • 2Bioanalytical Laboratory II—Proteomics, Bicro Biocentre Ltd., Zagreb, Croatia
  • 3Veterinary Clinic for Small Animals Buba, Zagreb, Croatia
  • 4Surgery, Orthopedics and Ophthalmology Clinic, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
  • 5Department for Pathological Morphology, Croatian Veterinary Institute, Zagreb, Croatia
  • 6Department of Microbiology and Infectious Diseases with Clinic, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia

Introduction: Canine adipose-derived mesenchymal stem cells (cAD-MSCs) hold therapeutic promise due to their regenerative potential, particularly within their secretome. However, concerns arise regarding the impact of in vitro cultivation necessitated for storing therapeutic doses, prompting this study to comprehensively explore the impact of in vitro aging on gene expression and secretome composition.

Methods: The study involved collecting abdominal adipose tissue samples from nine healthy female dogs, from which cAD-MSCs were extracted and cultured. Stem cells were validated through trilineage differentiation assays and flow cytometry immunophenotyping. Gene expression profiling using RT-qPCR array, and cAD-MSCs secretome LC-MS/MS analysis, were conducted at passages 3 and 6 to reveal gene expression and protein composition alterations during in vitro culture.

Results and Discussion: The results demonstrate that the gene expression and secretome composition of cAD-MSCs were impacted by in vitro aging. Among many alterations in gene expression between two passages, two significant downregulations were noted in the MSC-associated PTPRC and IL10 genes. While the majority of proteins and their functional characteristics were shared between passages, the influence of cell aging on secretome composition is highlighted by 10% of proteins being distinctively expressed in each passage, along with 21 significant up- and downregulations. The functional attributes of proteins detected in passage 3 demonstrated a greater inclination towards supporting the regenerative capacity of cAD-MSCs. Moreover, proteins in passage 6 exhibited a noteworthy correlation with the blood coagulation pathway, suggesting an elevated likelihood of coagulation events. To the best of our knowledge, this study presents the first original perspective on the changes in secretome composition that occur when cAD-MSCs age in vitro. Furthermore, it contributes to broadening the currently restricted knowledge base concerning the secretome of cAD-MSCs. In conclusion, our findings show that the regenerative potential of cAD-MSCs, as well as their secretome, may be compromised by in vitro aging. Therefore, our study suggests a preference for earlier passages when considering these cells for therapeutic applications.

1 Background

New approaches in veterinary regenerative medicine instill hope by providing increasing evidence of advancements in treating previously incurable diseases through stem cells (13). The canine adipose-derived mesenchymal stem cells (cAD-MSCs) are a focal point of current research, given the abundance, ease of collection, and higher proliferation rate of AD-MSCs in contrast to alternative mesenchymal stem cell (MSCs) resources (46). The cAD-MSCs have been confirmed to possess regenerative capabilities facilitated by their multipotency and, notably, their ability to modulate the immune response (79).

Based on most recent studies, the prospect of cellular regeneration is found in the paracrine activity of cAD-MSCs, called secretome (1012). The secretome encompasses soluble factors, including cytokines, growth factors, morphogens, chemokines, and non-soluble factors, known as extracellular vesicles containing proteins, lipids and RNAs (12). Formerly viewed as cellular debris, it is now established that these biomolecules play a pivotal role in modulating various biological processes such as cell proliferation, survival, differentiation, immunomodulation, anti-apoptosis, and angiogenesis (11). From the current point of view, cAD-MSCs secretome provides several advantages over cAD-MSCs cell therapy, such as a lower risk of thrombosis and tumor formation and easier manufacturing, handling, and storage. Furthermore, secretome could be mass-produced under controlled conditions, tailored for therapeutic effects, and stored for immediate use in acute conditions without the need for a donor or time-consuming cell expansion (10, 12, 13).

However, to achieve and store therapeutic doses of cAD-MSCs and their secretome, in vitro cultivation is needed. Throughout the long-term cultivation process, MSCs undergo replicative senescence, leading to a potential reduction or absence of positive therapeutic outcomes, as extensively reviewed in human research (14, 15). Long-term cultivated MSCs undergo enlargement and adopt a hypertrophic morphology, aligning with significant changes in biological features, gene expression profile, differentiation, and immunomodulatory potential (14, 16).

In contrast to human MSCs, there has been limited investigation into the impact of in vitro aging on gene expression profiles and secretome composition of cAD-MSCs. Our prior research has contributed to a better understanding of gene expression changes during in vitro passages, albeit on a limited scale (17, 18), indicating the need for further investigation. To our knowledge, no data has been published regarding alterations in the secretome composition during long-term culture of cAD-MSCs. Only two studies investigated cAD-MSCs’ secretome; the initial characterization of soluble factors and exosomes confirmed their immunomodulatory potential (5). Moreover, additional research reaffirmed the immunosuppressive effects of cAD-MSCs secretome exosomes in vitro (19).

Therefore, the primary objective of this study was to enhance the understanding of the effects of in vitro aging on the gene expression and secretome composition of cAD-MSCs.

2 Methods

2.1 Ethics approval and consent to participate

The present research was evaluated and approved by the Ethics Board of the Croatian Veterinary Institute, approval code Z-IV-4-2022/19, May 9, 2019, and Veterinary Ethics Committee at the Faculty of Veterinary Medicine, University of Zagreb, approval code 640-01/20-17/10, February 20, 2020, 640-01/20-17/55, September 28, 2020, and 640-01/22-02/07, April 20, 2022. Canine donor’s owners provided written informed consent before sampling.

2.2 Adipose tissue collection, cAD-MSCs extraction, and propagation

The research involved obtaining abdominal adipose tissue samples from nine clinically healthy female dogs (Canis lupus familiaris) who underwent elective ovariohysterectomy or ovariectomy surgical procedures. We decided to collect only female donors due to the abundance of adipose tissue at elective surgeries compared to male donors. The latter would need laparoscopic sampling to obtain the adequate quantity, which we considered to be against the 3R approach (20). Nevertheless, sex was not recognized as influential in cell surface marker expression, viability, proliferation, or differentiation potential (21). The acquisition of adipose tissue, cAD-MSCs extraction, and propagation adhered to the established protocol previously detailed in Krešić et al. (18). Briefly, 1–7 g of adipose tissue (Table 1), depending on the availability, was obtained from biomedical waste of ovarian mesostructure, placed into a sterile Falcon tube devoid of the medium, and stored at 4°C until transportation to the laboratory. Table 1 details the donors’ age, breed, and adipose tissue mass. The extraction of cAD-MSCs was carried out within a 2-h window from sample collection. This process involved rinsing and cutting the adipose tissue with a scalpel, followed by enzymatic digestion using 0.5% collagenase type 1 (Gibco, Cat. 17100017). The obtained stromal vascular fraction was subsequently placed into T25 cell culture flasks (Nunc, Thermo Fisher Scientific) and cultured in basal media comprising 79% Dulbecco’s Modified Eagle Medium with Low Glucose (DMEM Low Glucose) (Gibco, Cat. 31885049), 20% Fetal Bovine Serum (FBS) (Gibco; Cat. 1027010), and 1% Penicillin/Streptomycin (Sigma-Aldrich, Cat. P4333-100ML) at 37°C. media was replaced after 24 h, and when adherent cells reached 90% confluence, subculturing was performed using a solution of 0.05% Trypsin and 0.02% EDTA (Sigma-Aldrich, Cat. 59417C-500ML) until proliferation arrest was observed. All experiments conducted in this study utilized freshly isolated sterility-tested cAD-MSCs.

Table 1
www.frontiersin.org

Table 1. Donor information.

2.3 Stem cell identification

2.3.1 Differentiation capacity assay

In previous research (18), the multipotency of the extracted cAD-MSCs was evaluated through trilineage differentiation, encompassing adipogenic, osteogenic, and chondrogenic lineages. This assessment was conducted in the third passage (P3). In brief, cells were cultured in triplicate in a 24-well plate (Nunc, ThermoFisher Scientific) with a basal medium. Upon reaching confluence, the medium was replaced with StemMACS AdipoDiff media for adipogenic differentiation (Milteny, Cat. 130-091-677) or StemMACS OsteoDiff media for osteogenic differentiation (Milteny, Cat. 130-091-678). Control wells were maintained in basal media. Over 14 days, the media were changed every 48–72 h. Chondrogenic differentiation was induced in spheroid form within 15 mL conical polypropylene tubes using ChondroDiff Media (Milteny, Cat. 130-091-679), while a control tube was kept in basal media. The media were changed every 48–72 h during the 21-day differentiation period. All plates and tubes were incubated at 37°C with 5% CO2 and 95% humidity, with the tube lids ajar. Oil Red O (Sigma-Aldrich, Cat. 01391-250ML) staining was employed for the identification of lipid droplets, and Sigmafast BCIP/NBT substrate (Sigma-Aldrich, Cat. B5655-25TAB) was used for the detection of alkaline phosphatase activity. For chondrogenic differentiation, following dehydration and paraffin embedding of spheroids, 1% Alcian blue 8GX, pH 2,5 (Sigma-Aldrich, Cat. A3157-25G) was utilized to assess the presence of aggrecan. After staining, slides or cells were examined using an Axio Observer D1 inverted microscope, and photographs were captured with a camera (total magnification: 50x-200x, Zeiss).

2.3.2 Flow cytometry immunophenotyping

To validate the immunophenotype of cAD-MSCs, undifferentiated cAD-MSCs at P3 were subjected to flow cytometric analysis. In our prior study (18), we systematically assessed the immunophenotypic traits of cAD-MSCs across passages, spanning P1–P6. Statistical analysis demonstrated no significant differences in the expression of positive and negative cluster of differentiation (CD) markers between early (P1, P2, and P3) and late passages (P4, P5, and P6). Since experimental conditions adhered to the previously established protocol (18), cAD-MSC immunophenotyping was specifically conducted only at P3 for stem cell identification. These experiments were executed on the BD FACSVerse instrument (BD Biosciences). In brief, daily performance QC was maintained using CS&T beads (BD Biosciences) with lot numbers 92,323 and 13,697 before the initiation of each experiment. For the cAD-MSCs immunophenotyping, a single-stain labeling approach was employed, with 3 μL of antibody per 105 cells. The antibody panel used in the study is outlined in Table 2. Experimental conditions were calibrated using unstained cells, with identical conditions maintained across all test tubes during each experiment. Following the experiment, cell viability was assessed with a Propidium Iodide staining solution (BD Biosciences, Cat. 556,463). All data files were subjected to gating using the methodology previously described (18). FACSuite software was employed to analyze 10,000 collected events, with results presented regarding the median fluorescence intensity (MFI) and percent of positive cells (% positivity). Except for CD 105, where the MFI antibody was divided by the MFI of unstained cells due to a lack of adequate isotype control for canines. The MFI fold change was determined by dividing the MFI of the specific antibody by the median MFI of the corresponding isotype control. A fold change cutoff of 1.5 was applied for biological data interpretation. The statistical analysis and visualization of flow cytometry MFI and % positivity results were done using GraphPad Prism 10.1.2., represented as Mean ± Standard Error of the Mean (SEM) unless otherwise stated.

Table 2
www.frontiersin.org

Table 2. Flow cytometry antibody panel used in this study.

2.4 Total RNA extraction and gene expression profiling using RT-qPCR array analysis

Gene expression analysis using an RT-qPCR array was conducted following total RNA extraction at two time points during in vitro culture, P3 and P6. The experimental procedure followed the methodology outlined previously (17), incorporating certain modifications. The cAD-MSCs reached approximately 90% confluence in T75 cell culture flasks (Nunc, Thermo Fisher Scientific). Subsequently, the cells were detached using a cell scraper (Nunc, Thermo Fisher Scientific) and centrifuged at 235 × g for 10 min. Total RNA extraction was performed using the RNeasy Mini Kit (Qiagen, Cat. 74106) with 2 M dithiothreitol (Sigma-Aldrich, Cat. 43815-1G), following the manufacturer’s instructions for approximately 107 cells. The extracted RNA was stored at −80°C until gene expression analysis.

Before commencing gene expression analysis, the RNA integrity score (RIS) and 28S:18S ratio were determined using the QIAxcel RNA QC Kit (Qiagen, Cat. 929104) on the QIAxcel Advanced capillary electrophoresis device (Qiagen) following manufacturer instructions. RIS number < 7 and 28S:18S <1 were considered low-quality RNA and excluded from further analysis.

Genomic DNA elimination and complementary DNA synthesis from 800 ng of RNA was accomplished using the RT2 First Strand kit (Qiagen, Cat. 330401) as instructed by the manufacturer. Subsequently, a commercially available RT2 Profiler™ PCR Array for Dog Mesenchymal Stem Cells (PAFD-082ZR, Qiagen) with SYBR Green-optimized primer assays (Qiagen, Cat. 330603) was applied, following the manufacturer’s instructions for Rotor-Gene Q (Qiagen). The array featured primers targeting 84 genes, categorized as stemness markers, MSC-specific, MSC-associated, and MSC-differentiation genes associated with osteogenesis, adipogenesis, chondrogenesis, myogenesis, and tenogenesis. Detailed information, including gene names, symbols, and NCBI sequences, was thoroughly documented in the Supplementary material 1.

Following data acquisition, normalization, and in-depth analysis were conducted using the specialized RT2 Profiler PCR Array Data Analysis software, accessible online at https://dataanalysis2.qiagen.com/pcr (accessed November 10, 2023). The software analyzes the data and performs statistical analysis, which is fully explained and provided in a detailed report (Supplementary material 1). The statistical significance was calculated based on a Student’s t-test of the replicate 2^ (− Delta CT) values for each gene in the control and treatment groups. The software automatically appointed a fold change cutoff of 2.0, equal to log2Fold Change ±1.0. The gene expression profiling data are publicly available on the NCBI Gene Expression Omnibus (GEO) database (Accession Number GSE255585). Data visualization was carried out using GraphPad Prism 10.1.2.

2.5 LC-MS/MS proteomic analysis of cAD-MSCs secretome

The alterations in the proteome composition of the cAD-MSCs secretome during in vitro culture were also assessed at two specific time points, P3 and P6, in randomly selected six donors (6/21, 9/21, 14/21, 1/22, 6/22, and 7/22). The cells were seeded in six replicates at 105 cells per milliliter in 24-well plates (Nunc, Thermo Fisher Scientific). They were conditioned in basal media (with 20% FBS) at 37°C, 5% CO2, and 95% humidity until they reached 90% confluence. Subsequently, the culture medium was aspirated, and the cells were rinsed with 100% DMEM Low Glucose before being incubated in 2 mL of 100% DMEM Low Glucose. After 48 h, the secretome was carefully collected, centrifuged at 2,100 × g for 10 min, filtered through a sterile 0.45 μm filter (Merck), and preserved at −80°C until proteomic analysis.

For sample preparation, the secretome proteins were first reduced with dithiothreitol (Sigma Aldrich, Cat. D0632-5G) at a final concentration of 10 mM at 57°C for 30 min and subsequently alkylated with iodoacetamide (Sigma, Cat. I6125-5G) at a final concentration of 25 mM for 30 min at room temperature. The extraction of secretome proteins from the culture medium was carried out using trichloroacetic acid (Merck, Cat. 1008070100) precipitation method as previously described (22). To summarize, 1,260 μL of the medium sample was combined with sodium deoxycholate (Sigma-Aldrich, Cat. D6750-100G) at a final concentration of 0.1%. Trichloroacetic acid was added to reach a final concentration of 7.5%, causing protein precipitation on ice for 2 h. Afterward, the samples were centrifuged for 10 min at 4°C and 10,000 × g. The supernatant was discarded, and the pellet underwent two washes with ice-cold tetrahydrofuran (Merck, Cat. 1081011000). Finally, the pellet was reconstituted in 50 μL of 50 mM triethylammonium bicarbonate buffer (Thermo Fisher Scientific, Cat. 90,114 1 M). Protein concentration was determined using the Bradford assay, and the concentrations of all samples were adjusted with 50 mM triethylammonium bicarbonate buffer.

The proteins were subjected to enzymatic digestion with trypsin (Promega, Cat. V5117) at a final 0.01 mg/mL concentration, carried out over 18 h at 37°C and 20 × g. Peptide separation was executed using the nanoLC EASY-nLC™ 1200 System (Thermo Fisher Scientific) on a 75 μm × 250 mm RPC column. The gradient length spanned 2 h with 0–80% acetonitrile (VWR Chemicals, Cat. 83639.320), and 0.1% formic acid (Merck, Cat. 1002641000) with a flow rate of 1 μL/min, and the injection volume was 2 μL. The nanoLC system was connected to the Q Exactive™ Plus Hybrid Quadrupole-Orbitrap™ Mass Spectrometer (Thermo Fisher Scientific). The mass spectrometer operated in a data-dependent mode, where MS1 spectra were recorded within the range of 350–1,800 m/z at a resolution of 70,000. The top 12 ions were selected for fragmentation (MS2) and recorded at a resolution of 17,500.

Raw data were analyzed using Scaffold Quant Q + S 5.3.0 utilizing protein sequence data of Canis lupus familiaris reference proteome obtained from the UniProt database Proteome ID UP000805418 (accessed on October 30, 2023, with a total of 20,991 entries). Search parameters included the allowance of a missed trypsin cleavage, carbamidomethylation as a fixed modification, and a precursor and fragment ion mass tolerance of 10 ppm. Peptide search results were subsequently analyzed with Scaffold Quant version 5.0.3, employing untargeted label-free quantification and statistical analysis based on the spectral counting method, utilizing a t-test to verify the results of secretome composition. The proteins were filtered to include only the ones with a minimum of two identified peptide sequences. Statistical probability was defined at the p < 0.05 unless otherwise stated. A fold change cutoff of 1.3 was appointed, equal to log2Fold Change ±0.3785. Gene Ontology (GO) Panther 18.0 was utilized in the research of cellular components, protein class, molecular function, biological process, and pathways analysis, using Fisher’s exact test type and false discovery rate correction; data presented as raw p value and false discovery rate (FDR). The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE (23) partner repository with the dataset identifier PXD049324 and 10.6019/PXD049324. Data visualization was carried out using GraphPad Prism 10.1.2.

3 Results

3.1 Prolonged in vitro cultivation results in morphological changes

The cAD-MSCs cultures from all donors were successfully established. The spindle-shaped isolated cells underwent in vitro cultivation, where morphological changes were observed with each passage, exhibiting an increase in both size and granularity, coupled with a decrease in cell population density attributable to senescence, i.e., in vitro aging. Proliferation arrest, on average, occurred at P8. Microscopic images of three representative donors in P3 and P6 were presented in Supplementary material 2.

3.2 cAD-MSCs multipotency and stem cell immunophenotype are preserved in vitro

The trilineage differentiation capacity (adipogenic, osteogenic, and chondrogenic) of all isolated cells was preserved at P3, and the cAD-MSCs were confirmed to possess differentiation potential following the International Society for Cellular Therapy (ISCT) criteria (24). Microscopic images in Figure 1 depict undifferentiated cells (A), adipogenic (B), osteogenic (C), and chondrogenic (D) differentiation from a representative 6/21 donor experiment.

Figure 1
www.frontiersin.org

Figure 1. Canine adipose-derived mesenchymal stem cells (cAD-MSCs) retain multipotency and stem cell immunophenotype in passage 3 in vitro. Undifferentiated cAD-MSCs morphology (A). Adipogenic differentiation: lipid droplets are red (B). Osteogenic differentiation: The activity of alkaline phosphatase is purple (C). Chondrogenic differentiation: stained with Alcian Blue (aggrecan is blue) (D). Microscopic pictures were taken with an Axiovert camera on the Axio Observer D1 microscope (Zeiss). Scale bars: 50 μm (A–C), 100 μm (D). Representative flow cytometry histograms for each CD marker in comparison to isotype and unstained cells. Blue represents unstained, gray represents isotype, and black represents CD surface markers (E). Whisker-box plot representation of Median Fluorescence Intensity (MFI) fold changes in cAD-MSCs for surface markers CD90, CD105, CD44, CD29 (box plot above), CD73, CD271, CD45, and CD34 (box plot below) in the third passage. The dotted line indicates the cutoff value of 1.5, and colorful dots with the legend on the right represent individual MFI fold change values for each donor (F).

Isolated cAD-MSCs at P3 underwent flow cytometry analysis, revealing the presence of markers CD90 (87.64 ± 5.3%), CD105 (41.44 ± 11.64%), CD44 (74.32 ± 6.33%), and CD29 (97.93 ± 0.65%), confirming the cells’ stem cell status according to ISCT guidelines. Notably, the expression of CD73, for which a polyclonal antibody was utilized, was not observed. The analysis also showed the absence of expression for markers CD271 (1.61 ± 1.21%), CD45 (0%), and CD34 (4.01 ± 1.65%). Figure 1E represents CD surface marker expression histograms for donor 13/21 in comparison to isotype and unstained cells. Additionally, Whisker-box plots depict the MFI fold changes for all CD markers, with donor-specific data points represented by different-colored dots (Figure 1F).

3.3 Gene expression profiling of in vitro aged cAD-MSCs showed significant downregulation in MSC-associated genes

RNA quality analysis confirmed that the RNA in every sample was of high quality (Table 3). Gene expression analysis revealed that the overall change in expression between P3 and P6 was significantly downregulated for MSC-associated genes IL10 and PTPRC. Nonsignificant downregulations and upregulations were observed in stemness, MCS-specific, MSC-associated, and MSC-differentiation genes, as indicated in Figures 2AD. Figure 2E represents fold-regulation values for downregulated and upregulated genes. Fold-regulation represents fold-change results in a biologically meaningful way. The complete RT2 Profiler PCR Array Data Analysis software report is attached as a Supplementary material 1.

Table 3
www.frontiersin.org

Table 3. Results of RNA QC analysis; RNA integrity score (RIS), and 28S:18S ratio for individual donors.

Figure 2
www.frontiersin.org

Figure 2. Gene expression profiling of canine adipose-derived mesenchymal stem cells showed significant downregulation due to in vitro aging. The volcano plots illustrate the expression profile of stemness (A) mesenchymal stem cell (MSC) specific (B) MSC-associated (C) and MSC-differentiation genes (D) following cultivation in the sixth passage (P6) in comparison to P3. Downregulated and upregulated genes were marked in blue and orange, respectively. *p < 0.05 (A–D). Fold regulation of up- and downregulated genes. Downregulated genes are marked in blue, while upregulated genes are marked in orange. AGene’s expression is relatively low (Ct > 30) in one sample and reasonably detected (Ct <30) in the other sample, suggesting that the actual fold change value is at least as large as the calculated and reported fold change result. BThis gene’s average threshold cycle is relatively high (> 30), meaning that its relative expression level is low in both control and test samples, and the p value for the fold change is either unavailable or relatively high (p > 0.05). *p < 0.05 (E).

3.4 Proteomic analysis of cAD-MSCs secretome showed significant up- and downregulations

During the proteomic analysis of cAD-MSCs secretome, 1,187 proteins were detected in P3 and P6, with 90% proteins in common. A complete list of detected proteins, their gene symbols, t-test significance, and fold change results, is provided in the Supplementary material 3.

Proteins detected in P3 and P6 were compared by functional annotation to cellular components, protein class, molecular function, and biological process on GO complete analysis (Figure 3). Similar involvement in all detected functions was observed. Cellular component analysis revealed that ≈75% of protein belonged to cellular anatomical entities, 22.7% belonged to protein-containing complexes, and the rest were unassigned. More than 50% of cAD-MSCs secretome proteins comprised metabolite interconversion enzyme translational proteins, protein modifying enzymes, cytoskeletal proteins, translational proteins, and protein-binding activity modulators (Figure 3A). Their molecular functions were mainly binding and catalytic activity (Figure 3B), and they were predominantly involved in cellular and metabolic processes, biological regulation, response to stimulus, and localization (Figure 3C).

Figure 3
www.frontiersin.org

Figure 3. Graphical representation of functional Gene Ontology (GO) complete classification of proteins found in canine adipose-derived mesenchymal stem cells secretome comparing third passage (P3) and sixth passage (P6) by number of proteins detected. Functional GO complete classification by protein classes (A). Functional GO complete classification by molecular functions (B). Functional GO complete classification by biological processes (C).

Secretome analysis of commonly produced proteins showed downregulation in 648 proteins, while 302 proteins were upregulated (Figure 4). Correlation of statistically significant (p < 0.05) and fold change cutoff >1.3 proteins indicated nine biologically significant downregulated proteins—PCBP1, RPS8, HSP70, EEF1G, SRSF1, NAGA, FASN, SERPINB1, and COQ10B and 12 biologically significant upregulated proteins—DKK3a (isomer 1), PRSS23, HPRT1, LOC102152698, LOXL2, AP1B1, ME1, EIF3F, THBS3, HNRNPU, RPS19, and DKK3b (isomer 2) (Figure 4).

Figure 4
www.frontiersin.org

Figure 4. Volcano plot of commonly expressed canine adipose-derived mesenchymal stem cells secretome proteins comparing passage 6 to passage 3. In the graphical representation, blue dots signify proteins that have undergone statistically significant downregulation (p < 0.05) with a fold change exceeding 1.3. Conversely, orange dots denote proteins that exhibit statistical significance (p < 0.05) in upregulation, also with a fold change greater than 1.3. Both categories of dots are associated with protein corresponding specific gene symbol name.

The 10% of explored proteins were distinctive for each passage; 63 and 52 proteins were expressed only in P3 and P6, respectively. Distinctive proteins expressed in P3 were grouped with biologically significant downregulated proteins (Group P3), while those expressed in P6 were grouped with biologically significant upregulated proteins (Group P6). Moreover, these two groups were analyzed through GO Panther Pathways analysis to see if any critical protein pathways were influenced by the in vitro aging of cAD-MSCs. Group P3 proteins showed significant involvement in cytoskeletal regulation by Rho GTPase (p = 7.45E−12, FDR = 1.2E−9), nicotinic acetylcholine receptor signaling pathway (p = 1.2E−7, FDR = 9.8E−6), inflammation mediated by chemokine and cytokine signaling pathway (p = 6.7E−7, FDR = 3.6E−5), Wnt signaling pathway (p = 7.3E−5, FDR = 0.00235), and CCKR signaling map (p = 0.000601, FDR = 0.0161). In group P6, the expressed proteins were significantly related to the xanthine and guanine salvage pathway (p = 0.000193, FDR = 0.031), adenine and hypoxanthine salvage pathway (p = 0.000377, FDR = 0.0202), and blood coagulation pathway (p = 0.00032, FDR = 0.0258).

4 Discussion

In vitro culture is necessary to produce cAD-MSCs or their secretome for therapeutic applications. However, long-term culture leads to in vitro cell aging, thereby potentially compromising the regenerative and immunomodulatory capabilities of cAD-MSCs. Thus, this research aimed to explore the influence of in vitro aging on the gene expression and secretome composition of cAD-MSCs. Our findings demonstrate alterations of cAD-MSC-expressed genes and the secretome proteomic profile of cAD-MSCs induced by in vitro aging.

Initially, the isolated cells conformed to the criteria stipulated by the ISCT for identifying human stem cells (24) (Figure 1). Given the absence of standardized criteria for verifying canine stem cells, this investigation builds upon our prior research (17, 18) to establish the reproducibility and standardization of cAD-MSCs’ immunophenotype and three-lineage multipotency. In addition to previously explored cAD-MSCs’ surface markers CD90, CD44, CD29, CD105, CD73, CD45, and CD271 (18), in this study, we investigated surface marker CD34, which exhibited a % positivity of less than 5%, aligning with similar observations reported elsewhere (21, 25).

In vitro aging influenced the gene expression of cAD-MSCs, as confirmed by the present study, which detected 21 downregulated and 10 upregulated genes (Figure 2). In comparison to our earlier study (17), similar findings were observed regarding the cAD-MSCs-expressed genes, but expansion of the donor pool and advancement to later passages demonstrated significant downregulation of MSC-associated PTPRC and IL10 genes (Figure 2). PTPRC is a gene coding for CD45 surface marker protein expressed by all hematopoietic cells including hematopoietic stem cells (26). While it is considered a negative marker for human MSCs (24), the exact criteria for cAD-MSCs are yet to be established. Immunophenotyping revealed the absence of CD45 protein on the surface of cAD-MSCs in all donors during the P3 stage. However, it revealed 4% of extracted cells were positive for hematopoietic stem cell marker CD34, and these cells can express the gene for PTPRC/CD45 (27). On the other hand, IL10 is a major immune regulatory cytokine with profound anti-inflammatory functions produced by various immune and non-immune cells (28). Co-expression of IL10 in MSCs was proven beneficial, contributing to anti-inflammatory activity in humans and canines (2934). Our findings suggest that the observed expression of IL10 in earlier passages, such as P3, may confer beneficial effects regarding inflammation. However, we must interpret these results with caution since the expression of PTPRC and IL10 genes in the early passages may originate from various cell types within the adipose-derived stromal vascular fraction (35). Therefore, the downregulation of these two genes in later passages, such as P6, may result from the absence of these cells.

The secretome composition of cAD-MSCs was also impacted by in vitro aging. To our knowledge, this study represents the first investigation into the impact of prolonged passages of cAD-MSCs on secretome composition. Furthermore, our study significantly contributes to expanding the limited database on the secretome of cAD-MSCs. Most detected proteins and their functional characteristics were shared between early and later passages (P3 and P6) (Figure 3). Similar observations were documented in the secretome and exosomes of feline AD-MSCs (36) and canine bone marrow MSCs when compared to cAD-MSCs (5).

However, a notable functional difference was observed for the group of distinctive proteins (10% of detected proteins) in each passage (Group P3 and Group P6). Firstly, P3 exhibited substantial involvement in cytoskeletal regulation by Rho GTPase which plays pivotal roles in diverse cellular processes, encompassing gene expression, cytoskeletal dynamics, survival, cell division, cell adhesion, polarity, and vesicle trafficking (37). As cells age, these events decrease, consistent with the cellular quiescence observed in a later passage (P6) of the present study. Group P3 proteins displayed a significant association with the nicotinic acetylcholine receptor, Wnt, and CCKR signaling pathways, which play crucial roles in MSC regenerative function (38), cell proliferation/apoptosis inhibition (39), and adipocyte differentiation (40), respectively. The last, but very important finding within Group P3, concerns proteins associated with inflammation mediated by the chemokine and cytokine signaling, regulating trafficking and migration of immune cells (41). Moreover, Group P6 proteins were significantly associated with the blood coagulation pathway. Given MSCs’ apparent pro-thrombotic role, it is imperative to emphasize the necessity for stringent control of culture passages before administration to prevent adverse coagulation events (42). Collectively, the results of the present study, coupled with corroborating evidence regarding human MSCs (14, 15), underscore the need for caution when extending cAD-MSCs to later passages.

In addition to groups of distinctive proteins detected in both passages, our investigation unveiled modifications in a subset of shared proteins across both passages, comprising precisely 21 entities that exhibited significant up- or downregulation (Figure 4). Notably, the downregulated proteins in P6 (HSP70, SRSF1, SERPINB1, and COQ10B) are intricately associated with stem cells’ regenerative pathways in the treatment of various diseases (4347). Nevertheless, these findings warrant further research and confirmatory testing, which are presently constrained by the insufficient accessibility of canine-specific reagents (e.g., monoclonal antibodies).

In conclusion, our findings underscore significant alterations in the regenerative capacity of cAD-MSCs and their secretome due to in vitro aging. Thus, prioritizing earlier passages of these cells may be advisable to optimize their regenerative potential for therapeutic applications.

Data availability statement

The original contributions presented in the study are publicly available. This data can be found at: https://www.ebi.ac.uk/pride/; PXD049324. The gene expression profiling data are publicly available on the NCBI Gene Expression Omnibus (GEO) database (Accession Number GSE255585) https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE255585.

Ethics statement

The animal studies were approved by Ethics Board of the Croatian Veterinary Institute and Veterinary Ethics Committee at the Faculty of Veterinary Medicine, University of Zagreb. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.

Author contributions

MP: Writing – review & editing, Writing – original draft, Visualization, Validation, Software, Methodology, Investigation, Formal Analysis, Data curation, Conceptualization. AB: Writing – review & editing, Writing – original draft, Software, Methodology, Investigation, Data curation. RB: Writing – review & editing, Software, Methodology, Investigation, Data curation. VK: Writing – review & editing, Visualization, Methodology, Investigation. IL: Writing – review & editing, Resources. PK: Writing – review & editing, Resources. DV: Writing – review & editing, Methodology. ŠN: Writing – review & editing, Methodology, Investigation. NT: Writing – review & editing, Supervision. DB: Writing – review & editing, Writing – original draft, Supervision, Project administration, Funding acquisition, Conceptualization.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Croatian Science Foundation within the Installation Research Project (UIP-2019-04-2178) “Revealing transcriptome and secretome of mesenchymal stem cells” SECRET. Proteomic analysis was partially funded by the European Regional Development Fund (infrastructural project CIuK, grant number KK.01.1.1.02.0016). The funding agencies did not contribute to the study’s design, data collection, analysis, interpretation, or manuscript composition.

Acknowledgments

We thank Manuela Zadravec, Mihaela Stuparić Komušar, and Marko Močibob for generous help during sterility testing, spheroid preparation, and proteomic analysis, respectively. We also thank all canine donors and their owners without whom this research would not be possible.

Conflict of interest

AB and RB were employed by Bicro Biocentre Ltd.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2024.1387174/full#supplementary-material

Abbreviations

% positivity, Percent of positive cells; cAD-MSCs, canine Adipose-derived mesenchymal stem cells; CD, Cluster of differentiation; DMEM Low Glucose, Dulbecco’s Modified Eagle Medium with Low Glucose; FBS, Fetal bovine serum; FDR, False discovery rate; GO, Gene ontology; ISCT, International Society for Cellular Therapy; MFI, Median fluorescence intensity; MSCs, Mesenchymal stem cell; P3, Third passage; P6, Sixth passage; RIS, RNA integrity score; SEM, Standard Error of the Mean.

References

1. Voga, M, Adamic, N, Vengust, M, and Majdic, G. Stem cells in veterinary medicine—current state and treatment options. Front Vet Sci. (2020) 7:278. doi: 10.3389/fvets.2020.00278

PubMed Abstract | Crossref Full Text | Google Scholar

2. Prišlin, M, Vlahović, D, Kostešić, P, Ljolje, I, Brnić, D, Turk, N, et al. An Outstanding Role of Adipose Tissue in Canine Stem Cell Therapy. Animals. (2022) 12:1–19. doi: 10.3390/ani12091088

PubMed Abstract | Crossref Full Text | Google Scholar

3. El-Husseiny, HM, Mady, EA, Helal, MAY, and Tanaka, R. The pivotal role of stem cells in veterinary regenerative medicine and tissue engineering. Vet Sci. (2022) 9:1–25. doi: 10.3390/vetsci9110648

PubMed Abstract | Crossref Full Text | Google Scholar

4. Russell, KA, Chow, NHC, Dukoff, D, Gibson, TWG, La Marre, J, Betts, DH, et al. Characterization and immunomodulatory effects of canine adipose tissue- and bone marrow-derived mesenchymal stromal cells. PLoS One. (2016) 11:1–18. doi: 10.1371/journal.pone.0167442

PubMed Abstract | Crossref Full Text | Google Scholar

5. Villatoro, AJ, Alcoholado, C, Martín-Astorga, MC, Fernández, V, Cifuentes, M, and Becerra, J. Comparative analysis and characterization of soluble factors and exosomes from cultured adipose tissue and bone marrow mesenchymal stem cells in canine species. Vet Immunol Immunopathol. (2019) 208:6–15. doi: 10.1016/j.vetimm.2018.12.003

PubMed Abstract | Crossref Full Text | Google Scholar

6. Humenik, F, Maloveska, M, Hudakova, N, Petrouskova, P, Hornakova, L, Domaniza, M, et al. A comparative study of canine mesenchymal stem cells isolated from different sources. Animals. (2022) 12:1–13. doi: 10.3390/ani12121502

PubMed Abstract | Crossref Full Text | Google Scholar

7. Melief, SM, Zwaginga, JJ, Fibbe, WE, and Roelofs, H. Adipose tissue-derived multipotent stromal cells have a higher immunomodulatory capacity than their bone marrow-derived counterparts. Stem Cells Transl Med. (2013) 2:455–63. doi: 10.5966/sctm.2012-0184

PubMed Abstract | Crossref Full Text | Google Scholar

8. Si, Z, Wang, X, Sun, C, Kang, Y, Xu, J, Wang, X, et al. Adipose-derived stem cells: Sources, potency, and implications for regenerative therapies. Biomed Pharmacother. (2019) 114:108765. doi: 10.1016/j.biopha.2019.108765

PubMed Abstract | Crossref Full Text | Google Scholar

9. Duffy, MM, Ritter, T, Ceredig, R, and Griffin, MD. Mesenchymal stem cell effects on T-cell effector pathways. Stem Cell Res Ther. (2011) 2:34–9. doi: 10.1186/scrt75

PubMed Abstract | Crossref Full Text | Google Scholar

10. Chandra, V, Mankuzhy, P, and Sharma, GT. Mesenchymal stem cells in veterinary regenerative therapy: basic physiology and clinical applications. Curr Stem Cell Res Ther. (2022) 17:237–51. doi: 10.2174/1574888X16666210804112741

PubMed Abstract | Crossref Full Text | Google Scholar

11. Trzyna, A, and Banaś-Ząbczyk, A. Adipose-derived stem cells secretome and its potential application in “stem cell-free therapy.”. Biomol Ther. (2021) 11:878. doi: 10.3390/biom11060878

PubMed Abstract | Crossref Full Text | Google Scholar

12. Merlo, B, and Iacono, E. Beyond canine adipose tissue-derived mesenchymal secretome characterization and applications. Animals. (2023) 13:3571. doi: 10.3390/ani13223571

PubMed Abstract | Crossref Full Text | Google Scholar

13. Vizoso, FJ, Eiro, N, Cid, S, Schneider, J, and Perez-Fernandez, R. Mesenchymal stem cell secretome: Toward cell-free therapeutic strategies in regenerative medicine. Int J Mol Sci. (2017) 18:1852. doi: 10.3390/ijms18091852

PubMed Abstract | Crossref Full Text | Google Scholar

14. Liu, J, Ding, Y, Liu, Z, and Liang, X. Senescence in mesenchymal stem cells: functional alterations, molecular mechanisms, and rejuvenation strategies. Front Cell Dev Biol. (2020) 8:258. doi: 10.3389/fcell.2020.00258

PubMed Abstract | Crossref Full Text | Google Scholar

15. Yang, YHK, Ogando, CR, Wang See, C, Chang, TY, and Barabino, GA. Changes in phenotype and differentiation potential of human mesenchymal stem cells aging in vitro. Stem Cell Res Ther. (2018) 9:131–14. doi: 10.1186/s13287-018-0876-3

PubMed Abstract | Crossref Full Text | Google Scholar

16. Weng, Z, Wang, Y, Ouchi, T, Liu, H, Qiao, X, Wu, C, et al. Mesenchymal stem/stromal cell senescence: hallmarks, mechanisms, and combating strategies. Stem Cells Transl Med. (2022) 11:356–71. doi: 10.1093/stcltm/szac004

PubMed Abstract | Crossref Full Text | Google Scholar

17. Krešić, N, Šimić, I, Lojkić, I, and Bedeković, T. Canine adipose derived mesenchymal stem cells transcriptome composition alterations: a step towards standardizing therapeutic. Stem Cells Int. (2017) 2017:4176292. doi: 10.1155/2017/4176292

PubMed Abstract | Crossref Full Text | Google Scholar

18. Krešić, N, Prišlin, M, Vlahović, D, Kostešić, P, Ljolje, I, Brnić, D, et al. The expression pattern of surface markers in canine adipose-derived mesenchymal stem cells. Int J Mol Sci. (2021) 22:1–19. doi: 10.3390/ijms22147476

PubMed Abstract | Crossref Full Text | Google Scholar

19. Teshima, T, Yuchi, Y, Suzuki, R, Matsumoto, H, and Koyama, H. Immunomodulatory effects of canine adipose tissue mesenchymal stem cell-derived extracellular vesicles on stimulated cd4+t cells isolated from peripheral blood mononuclear cells. J Immunol Res. (2021) 2021:2993043. doi: 10.1155/2021/2993043

PubMed Abstract | Crossref Full Text | Google Scholar

20. Fenwick, N, Griffin, G, and Gauthier, C. The welfare of animals used in science: How the “Three Rs” ethic guides improvements. Can Vet J. (2009) 50:523–30.

PubMed Abstract | Google Scholar

21. Voga, M, Kovač, V, and Majdic, G. Comparison of Canine and Feline Adipose-Derived Mesenchymal Stem Cells/Medicinal Signaling Cells With Regard to Cell Surface Marker Expression, Viability, Proliferation, and Differentiation Potential. Front Vet Sci. (2021) 7:610240. doi: 10.3389/fvets.2020.610240

PubMed Abstract | Crossref Full Text | Google Scholar

22. Isola, D, Marzban, G, Selbmann, L, Onofri, S, Laimer, M, and Sterflinger, K. Sample preparation and 2-DE procedure for protein expression profiling of black microcolonial fungi. Fungal Biol. (2011) 115:971–7. doi: 10.1016/j.funbio.2011.03.001

PubMed Abstract | Crossref Full Text | Google Scholar

23. Perez-Riverol, Y, Bai, J, Bandla, C, García-Seisdedos, D, Hewapathirana, S, Kamatchinathan, S, et al. The PRIDE database resources in 2022: A hub for mass spectrometry-based proteomics evidences. Nucleic Acids Res. (2022) 50:D543–52. doi: 10.1093/nar/gkab1038

PubMed Abstract | Crossref Full Text | Google Scholar

24. Dominici, M, Le Blanc, K, Mueller, I, Slaper-Cortenbach, I, Marini, FC, Krause, DS, et al. Minimal criteria for defining multipotent mesenchymal stromal cells. The International Society for Cellular Therapy position statement. Cytotherapy. (2006) 8:315–7. doi: 10.1080/14653240600855905

PubMed Abstract | Crossref Full Text | Google Scholar

25. Screven, R, Kenyon, E, Myers, MJ, Yancy, HF, Skasko, M, Boxer, L, et al. Immunophenotype and gene expression profile of mesenchymal stem cells derived from canine adipose tissue and bone marrow. Vet Immunol Immunopathol. (2014) 161:21–31. doi: 10.1016/j.vetimm.2014.06.002

PubMed Abstract | Crossref Full Text | Google Scholar

26. Al Barashdi, MA, Ali, A, McMullin, MF, and Mills, K. Protein tyrosine phosphatase receptor type C (PTPRC or CD45). J Clin Pathol. (2021) 74:548–52. doi: 10.1136/jclinpath-2020-206927

PubMed Abstract | Crossref Full Text | Google Scholar

27. Ayabe, T, Hisasue, M, Yamada, Y, Nitta, S, Kikuchi, K, Neo, S, et al. Characterisation of canine CD34+/CD45 diminished cells by colony-forming unit assay and transcriptome analysis. Front Vet Sci. (2022) 9:936623. doi: 10.3389/fvets.2022.936623

PubMed Abstract | Crossref Full Text | Google Scholar

28. Iyer, SS, and Cheng, G. Role of interleukin 10 transcriptional regulation in inflammation and autoimmune disease. Crit Rev Immunol. (2012) 32:23–63. doi: 10.1615/critrevimmunol.v32.i1.30

PubMed Abstract | Crossref Full Text | Google Scholar

29. Nakajima, M, Nito, C, Sowa, K, Suda, S, Nishiyama, Y, Nakamura-Takahashi, A, et al. Mesenchymal stem cells overexpressing interleukin-10 promote neuroprotection in experimental acute ischemic stroke. Mol Ther Methods Clin Dev. (2017) 6:102–11. doi: 10.1016/j.omtm.2017.06.005

PubMed Abstract | Crossref Full Text | Google Scholar

30. Hervás-Salcedo, R, Fernández-García, M, Hernando-Rodríguez, M, Suárez-Cabrera, C, Bueren, JA, and Yáñez, RM. Improved efficacy of mesenchymal stromal cells stably expressing CXCR4 and IL-10 in a xenogeneic graft versus host disease mouse model. Front Immunol. (2023) 14:1062086. doi: 10.3389/fimmu.2023.1062086

PubMed Abstract | Crossref Full Text | Google Scholar

31. Choi, JJ, Yoo, SA, Park, SJ, Kang, YJ, Kim, WU, Oh, IH, et al. Mesenchymal stem cells overexpressing interleukin-10 attenuate collagen-induced arthritis in mice. Clin Exp Immunol. (2008) 153:269–76. doi: 10.1111/j.1365-2249.2008.03683.x

PubMed Abstract | Crossref Full Text | Google Scholar

32. Nitahara-Kasahara, Y, Kuraoka, M, Oda, Y, Hayashita-Kinoh, H, Takeda, S, and Okada, T. Enhanced cell survival and therapeutic benefits of IL-10-expressing multipotent mesenchymal stromal cells for muscular dystrophy. Stem Cell Res Ther. (2021) 12:105–15. doi: 10.1186/s13287-021-02168-1

PubMed Abstract | Crossref Full Text | Google Scholar

33. Kuang, PP, Liu, XQ, Li, CG, He, BX, Xie, YC, Wu, ZC, et al. Mesenchymal stem cells overexpressing interleukin-10 prevent allergic airway inflammation. Stem Cell Res Ther. (2023) 14:369–15. doi: 10.1186/s13287-023-03602-2

PubMed Abstract | Crossref Full Text | Google Scholar

34. Song, WJ, Li, Q, Ryu, MO, Nam, A, An, JH, Jung, YC, et al. Canine adipose tissue-derived mesenchymal stem cells pre-treated with TNF-alpha enhance immunomodulatory effects in inflammatory bowel disease in mice. Res Vet Sci. (2019) 125:176–84. doi: 10.1016/j.rvsc.2019.06.012

PubMed Abstract | Crossref Full Text | Google Scholar

35. Hendawy, H, Uemura, A, Ma, D, Namiki, R, Samir, H, Ahmed, MF, et al. Tissue harvesting site effect on the canine adipose stromal vascular fraction quantity and quality. Animals. (2021) 11:1–14. doi: 10.3390/ani11020460

Crossref Full Text | Google Scholar

36. Villatoro, AJ, Martín-Astorga, MDC, Alcoholado, C, Sánchez-Martín, MDM, and Becerra, J. Proteomic analysis of the secretome and exosomes of feline adipose-derived mesenchymal stem cells. Animals. (2021) 11:1–15. doi: 10.3390/ANI11020295

Crossref Full Text | Google Scholar

37. Zhang, Z, Liu, M, and Zheng, Y. Role of Rho GTPases in stem cell regulation. Biochem Soc Trans. (2021) 49:2941–55. doi: 10.1042/BST20211071

PubMed Abstract | Crossref Full Text | Google Scholar

38. Alqahtani, S, Butcher, MC, Ramage, G, Dalby, MJ, McLean, W, and Nile, CJ. Acetylcholine receptors in mesenchymal stem cells. Stem Cells Dev. (2023) 32:47–59. doi: 10.1089/scd.2022.0201

PubMed Abstract | Crossref Full Text | Google Scholar

39. Ma, T, Fu, B, Yang, X, Xiao, Y, and Pan, M. Adipose mesenchymal stem cell-derived exosomes promote cell proliferation, migration, and inhibit cell apoptosis via Wnt/β-catenin signaling in cutaneous wound healing. J Cell Biochem. (2019) 120:10847–54. doi: 10.1002/jcb.28376

PubMed Abstract | Crossref Full Text | Google Scholar

40. Plaza, A, Merino, B, Sánchez-Pernaute, A, Torres-García, AJ, Rubio-Herrera, MA, and Ruiz-Gayo, M. Expression analysis of a cholecystokinin system in human and rat white adipose tissue. Life Sci. (2018) 206:98–105. doi: 10.1016/j.lfs.2018.05.036

PubMed Abstract | Crossref Full Text | Google Scholar

41. National CCenter for Biotechnology Information PubChem Pathway Summary for Pathway P00031, Inflammation mediated by chemokine and cytokine signaling pathway. Source: PANTHER (2024). 2–6. Available at: https://pubchem.ncbi.nlm.nih.gov/pathway/PANTHER:P00031 (Accessed February 5, 2024).

Google Scholar

42. Guillamat-Prats, R. Role of mesenchymal stem/stromal cells in coagulation. Int J Mol Sci. (2022) 23:1–10. doi: 10.3390/ijms231810393

PubMed Abstract | Crossref Full Text | Google Scholar

43. Li, X, Zhan, J, Hou, Y, Hou, Y, Chen, S, Luo, D, et al. Coenzyme Q10 regulation of apoptosis and oxidative stress in H2O2 induced BMSC death by modulating the Nrf-2/NQO-1 signaling pathway and its application in a model of spinal cord injury. Oxidative Med Cell Longev. (2019) 2019:1–15. doi: 10.1155/2019/6493081

PubMed Abstract | Crossref Full Text | Google Scholar

44. Plesa, AM, Jung, S, Wang, HH, Omar, F, and Shadpour, M (2023). Transcriptomic reprogramming screen identifies SRSF1 as rejuvenation factor Measuring aging using gene expression. bioRxiv. doi: 10.1101/2023.11.13.566787

Crossref Full Text | Google Scholar

45. Wang, H, Hua, J, Chen, S, and Chen, Y. SERPINB1 overexpression protects myocardial damage induced by acute myocardial infarction through AMPK/mTOR pathway. BMC Cardiovasc Disord. (2022) 22:107–11. doi: 10.1186/s12872-022-02454-7

PubMed Abstract | Crossref Full Text | Google Scholar

46. Bin, CY, Lan, YW, Chen, LG, Huang, TT, Choo, KB, Cheng, WTK, et al. Mesenchymal stem cell-based HSP70 promoter-driven VEGFA induction by resveratrol alleviates elastase-induced emphysema in a mouse model. Cell Stress Chaperones. (2015) 20:979–89. doi: 10.1007/s12192-015-0627-7

PubMed Abstract | Crossref Full Text | Google Scholar

47. El Ouaamari, A, Dirice, E, Gedeon, N, Hu, J, Zhou, JY, Shirakawa, J, et al. SerpinB1 promotes pancreatic β Cell proliferation. Cell Metab. (2016) 23:194–205. doi: 10.1016/j.cmet.2015.12.001

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: canine adipose-derived mesenchymal stem cell, in vitro , gene expression, secretome, in vitro aging, long-term culture, veterinary regenerative medicine

Citation: Prišlin M, Butorac A, Bertoša R, Kunić V, Ljolje I, Kostešić P, Vlahović D, Naletilić &, Turk N and Brnić D (2024) In vitro aging alters the gene expression and secretome composition of canine adipose-derived mesenchymal stem cells. Front. Vet. Sci. 11:1387174. doi: 10.3389/fvets.2024.1387174

Received: 16 February 2024; Accepted: 08 March 2024;
Published: 28 March 2024.

Edited by:

Eleonora Iacono, University of Bologna, Italy

Reviewed by:

Alessandra Pelagalli, University of Naples Federico II, Italy
Amirhesam Babajani, Iran University of Medical Sciences, Iran

Copyright © 2024 Prišlin, Butorac, Bertoša, Kunić, Ljolje, Kostešić, Vlahović, Naletilić, Turk and Brnić. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Marina Prišlin, prislin@veinst.hr; Dragan Brnić, brnic@veinst.hr

Present address: Dunja Vlahović, Department of Veterinary Pathology, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia

Download