
Cellular senescence is a state of permanent proliferative interruption caused by cell cycle arrest. It is caused by various factors such as repetitive cell division, DNA damage, the activation of oncogene, oxidative stress, mitochondrial dysfunction, and secretion of paracrine factors Replicative senescence, caused by telomere shortening, reduces proliferation and modifies the expression of growth-regulatory genes. Cellular senescence can be identified by the expression of cyclin-dependent kinase (CDK) inhibitors and senescence-associated secretory phenotype (SASP), cell size measurement, and lysosomal content (1).
Mesenchymal stem cells (MSCs) derived from various adult cells such as bone marrow, cord blood, placenta, and fat are multipotent and have low immunogenicity (2). Therefore, MSCs are extensively used in cell therapy. However, ensuring an adequate supply of cells is necessary to commercialize cell therapy using MSCs, as MSCs rapidly reduce cell division by senescence mechanisms during
The gut microbiome synthesizes a variety of metabolites with powerful anti-inflammatory and antioxidant properties. Increased oxidative stress induces cellular senescence, and microbiota metabolites can diminish cellular senescence by reducing the stress response (6). Alteration in intestinal microbiota composition, in aged mice, causes inflammation in brain and retina and controlling the gut microbial composition prevents age-associated disease (7). In this study, we aimed to identify new senescence control factors that inhibit replicative senescence of MSCs, using fecal metabolites library. The fecal metabolite, nervonic acid (NA), was selected as the potential candidate.
NA (C24:1, cis-15-tetracosenoic acid) is a long-chain fatty acids, mainly found in brain sphingolipids, associated with the growth and maintenance of nerve tissue. In addition, it is involved in myelin membrane creation, brain aging inhibition, and lipid metabolism regulation (8, 9). NA accumulates in the human brain during early development, positively influences neonatal neural development (10), and is used in the prevention and treatment of neurological disorders (11). To date, the effects of NA on MSC senescence or function remain unknown. In this study, we evaluated that the effect of NA treatment on senescent cells.
Wharton’s jelly-derived mesenchymal stem cells (WJ-MSCs), adipose tissue-derived mesenchymal stem cells (AD-MSCs), placenta-derived mesenchymal stem cells (PL-MSCs), and umbilical cord blood-derived mesenchymal stem cells (UCB-MSCs) were isolated from umbilical cord, adipose tissue, placenta, and umbilical cord blood, respectively, as previously described (12-15). Human bone marrow-derived mesenchymal stem cells (BM-MSCs) were purchased from Cambrex (#PT-2501; Lonza). Replicative senescence was induced by sequential culture in MEM-alpha (Minimum Essential Medium; Gibco) with 10% FBS (Fetal Bovine Serum; Gibco) and 50 μg/ml Gentamicin (Gibco) at 37℃ and 5% CO2.
Metabolites were screened using a fecal metabolites library (MetaSci). Four-hundred and eighty-five metabolites were identified. WJ-MSCs were seeded on a 384-well plate and cultured for 24 hours at 37℃ and 5% CO2. Next, the cultured cells were treated with the identified metabolites (20 μM) and incubated for 72 hours at 37℃ and 5% CO2. Subsequently, cytotoxicity was measured using high throughput screening. Thirteen candidate metabolites were identified and were used in subsequent analysis. WJ-MSCs were seeded in a 96-well plate at 1,000 cells/well and cultured for 24 hours at 37℃ and 5% CO2. Next, the cultured cells were treated with the candidate metabolites at different concentrations ranging from 20 to 400 μM and incubated for 72 hours at 37℃ and 5% CO2. Cell viability was measured using the Cell Counting Kit-8 (CCK-8; Dojindo), according to the manufacturer’s instructions. NA (Sigma-Aldrich) was selected through various screening methods. WJ-MSCs were treated with NA at several concentrations ranging between 140 and 260 μM and incubated for 72 hours at 37℃ and 5% CO2. NA was dissolved in dimethyl sulfoxide (DMSO), and all controls were treated with equal amounts of DMSO. Optical density was measured at 450 nm using a microplate reader (Multiskan SkyHigh; Thermo Fisher Scientific Inc.).
Cellular senescence was confirmed using a Senescence
Total RNA was isolated from WJ-MSCs using Trizol (Invitrogen) and cDNA was synthesized using Superscript IV RT (Invitrogen), according to the manufacturer’s instructions. Quantitative reverse transcript polymerase chain reaction (qRT-PCR) was performed on QuantStudio 6 Flex Real-Time PCR System (Thermo Fisher Scientific Inc.) using 2x Power SYBR Green Master Mix (Applied Biosys-tems). Primers were purchased from Bioneer Corporation and the primer sequences were as follow:
Cells were lysed using RIPA buffer (BIOSESANG) with the Protease Inhibitor Cocktail (GenDEPOT) and EDTA (GenDEPOT). The Bradford assay (Bio-Rad protein assay reagent; Bio-Rad) was used to quantify protein concen-tration. Equivalent amounts of protein were separated using SDS-PAGE and transferred to polyvinylidene difluoride membranes (Bio-Rad). The membranes were blocked with 5% skim milk for 1 hour at room temperature and incubated for 24 hours at 4℃ with the following primary antibodies: anti-p16 (1:1,000; Cell Signaling Technology), anti-p21 (1:1,000; Cell Signaling Technology), anti-β-actin (1:5,000; Santa Cruz). Next, the membranes were incubated with HRP-conjugated anti-rabbit or anti-mouse antibodies (AbClon) for 1 hour at room tempe-rature. Signals were detected using the Amersham Imager 600 (GE Healthcare), and band intensities were quantified using ImageJ. β-Actin was used as the loading control. Expression was normalized to that of β-actin.
To verify WJ-MSCs stemness, the expression of MSC and hematopoietic markers were confirmed using flow cytometry, as per the MSC criteria of the International Society for Cell Therapy (16). Cells were incubated with the following antibodies: cluster of differentiation 44 (CD44), CD73, CD90, CD105, CD166, CD14, CD19, CD34, CD45, HLA-DR, or isotype control antibodies (BD Biosciences) for 20 minutes at room temperature in the dark. At least 10,000 events were acquired using the BD FACSVerse (Becton Dickinson), and data analysis was performed using FACSuite software (Becton Dickinson).
WJ-MSCs were seeded at 1×105 cells/well in a 6-well plate. After changing the complete culture media, WJ-MSCs were cultured to 100% growth. The culture media was changed as indicated in the Stempro Adipocyte Differentiation Kit (Gibco), and the WJ-MSCs were cultured for 21 days in differentiation media with or without NA. Differentiated cells were fixed with 4% PFA for 10 minutes at room temperature. Oil Red O solution (Sigma-Aldrich), dissolved in isopropyl alcohol (Sigma-Aldrich), was added to the fixed cells. Oil Red O optical density was measured at 510 nm using Multiskan SkyHigh.
WJ-MSCs were seeded at 5×104 cells/well in a 6-well plate. The culture media was changed as indicated by the Stempro Osteocyte Differentiation Kit (Gibco) and WJ-MSCs were cultured for 23 days in differentiation media with or without NA. The cultured cells were fixed with 4% PFA, and the differentiated cells were using Alizarin Red S Staining Quantification Assay Kit (ScienCell), according to the manufacturer’s instructions. Alizarin Red S was dissolved in 10% acetic acid, and optical density was measured at 405 nm using Multiskan SkyHigh.
The Human L507 array was performed by Ebiogen Inc.. The culture medium was concentrated 10 times using Vivaspin 15R (Sartorius). The sample concentration was measured using BCA Protein Assay Kit (Pierce) and Multiskan FC (Thermo Fisher Scientific Inc.). Slide scanning was performed using the GenePix 4100A Scanner (Axon Instru-ments), and scan images were quantified with GenePix Software (Axon Instruments). Data mining and graphic visualization were performed using ExDEGA (Ebiogen Inc.).
Single-cell RNA sequencing was conducted by Ebiogen Inc.. Single-cell RNA-sequencing libraries were prepared using the Chromium Next GEM Single Cell 3’ Reagent Kit v3.1 (10X Genomics), according to the manufacturer’s instructions. The cells were diluted into the Chromium Next GEM Chip G to yield a recovery of 6,000 single-cell. Following library preparation, the libraries were sequenced in multiplex on the Novaseq 6000 sequencer (Illumina) to produce, on average, a minimum of 45,000 reads per single cell. Sequencing reads were processed with the Cell Ranger version 3.0.1 (10X Genomics) using the Human reference transcriptome GRch38 from Ensemble. Data clustering and visualization were performed using MultiExperiment Viewer, Loupe browser, and Win Seurat (Ebiogen Inc.).
All data are represented as means±SEM. GraphPad PRISM (GraphPad software Inc.) was used for analysis. Comparisons between two groups were conducted using a two-tailed Student’s t-test, and comparisons between more than two groups were conducted using one-way ANOVA analysis with Tukey’s multiple-comparison post hoc test. p<0.05 was considered statistically significant. All experiments were performed in triplicate.
WJ-MSC replicative senescence was induced by sequential culturing and the level of senescence was confirmed through SA-β-gal staining. The proportion of β-gal positive cells increased negligibly by less than 5% until passage 15 but increased to 42.4% at passage 18 (Fig. 1A).
To determine the induction of replicative senescence, the expression of senescence markers was confirmed using western blotting. The expression of p16 and p21 at passage 18 was significantly higher than that at passage 5. p16 significantly increased at passage 18. p21 significantly increased at passage 9, and the expression level was retained thereafter (Fig. 1B). Therefore, MSCs at passage 18 were defined as replicative senescent MSCs (RS-MSCs) and MSCs at passage 5 as non-senescent MSCs (NS-MSCs).
NS-MSCs and RS-MSCs were treated with 485 candidate metabolites and we determined the level of senescence reduction. Compared to NS-MSCs, RS-MSC viability was reduced by 13 metabolites (Supplementary Fig. S1). Among these, NA, which only affected the survival of RS-MSC, was selected for further analysis. To determine the optimal NA concentration that reduces only the survival of RS-MSCs as much as possible, WJ-MSCs were treated with varying concentrations of NA for 3 days. Then, the CCK-8 assay, SA-β-gal staining and cell size measurement were performed to confirm the inhibition of senescence by NA (Fig. 2A). NA did not decrease NS-MSC cell viability, but decreased RS-MSCs cell viability. RS-MSC viability was most significantly reduced by 160 μM NA and was therefore used in subsequent experiments (Fig. 2B).
NS-MSCs and NA-treated NS-MSCs were stained with β-gal in 3.26% and 2.32% of the total cells, respectively, while RS-MSCs and NA-treated RS-MSCs were stained with β-gal in 46.40% and 19.21%, respectively (Fig. 2C). NA treatment significantly reduced senescence only in the RS-MSCs. In addition, cell size, a parameter of senesce-nce, was measured to confirm the reduction of senescent cells by NA. The surface area of RS-MSCs was 3.17-fold larger than that of NS-MSCs. On the other hands, the surface area of NA-treated RS-MSCs was 0.43-fold smaller than that of RS-MSCs (Fig. 2D). Therefore, NA was confirmed to be an effective inhibitor of WJ-MSC senescence.
In addition, SA-β-gal staining was performed to identify whether NA inhibits replicative senescence in MSCs derived from various sources. RS-MSCs of AD-MSCs, BM-MSCs, UCB-MSCs, and PL-MSCs were treated with NA for 3 days. The ratio of β-gal-positive cells significantly decreased in all types of human-derived MSCs after NA treatment (Supplementary Fig. S2). Therefore, NA was shown to inhibit senescence in MSCs derived from various sources.
Since NA inhibited the senescence of WJ-MSCs, we determined the expression of senescence markers. The mRNA levels of
The mRNA expression of SASP markers, one of the characteristics of cellular senescence, was confirmed using qRT-PCR.
To determine the effect of NA on stemness, FACS was conducted in NS-MSCs and RS-MSCs. MSC-positive mar-kers (CD44, CD73, CD90, CD105, and CD166) and MSC-negative markers (CD14, CD19, CD34, CD45, and HLA-DR [MHC II]) were used. The MSC-positive markers were highly expressed (more than 95%) in NS-MSCs, and their expression marginally decreased in RS-MSCs. NA treatment increased the expression of MSC-positive markers in RS-MSCs, and in particular, the expressions of CD44 and CD73 were significantly increased by NA treatment. How-ever, no significant changes were observed in MSC-negative markers by replicative senescence and NA treatment (Fig. 4A). In RS-MSCs, NA treatment recovered stemness; therefore, osteogenesis and adipogenesis were induced to confirm the effect of NA on differentiation. Replicative senescence interfered with the induction of osteogenesis and adipogenesis in WJ-MSCs. However, NA significantly increased the induction of adipogenesis in RS-MSCs (Fig. 4B).
Single-cell RNA sequencing was performed to identify the difference in gene expression by NA treatment in RS-MSCs. A heat map was used to identify differentially expressed genes, between RS-MSCs and NA-treated RS-MSCs, with a fold change>1.5. In the NA-treated RS-MSCs,
To compare the expression of secreted protein between NS-MSCs, RS-MSCs and NA-treated RS-MSCs, an antibody array was conducted. The secretion of E-selectin (SELE), interleukin-17D (IL17D), thrombospondin-1 (TSP1), and transmembrane protein with an EGF-like and two follistatin-like domains 2 (TMEFF2) increased with replicative senescence and decreased with NA treatment. Thrombo-spondin-4 (TSP4) secretion decreased with replicative senescence and increased with NA treatment (Fig. 4E).
Our results showed that NA is an important metabolite in inhibiting the senescence of RS-MSC. Therefore, we verified whether replicative senescence is delayed by continuous subculture after NA treatment to NS-MSC. NS-MSCs treated with DMSO (0.32%) or NA (160 μM) for 24 hours were cultured sequentially up to passage 10 under the normal culture conditions, and the level of senescence and proliferation of each group were compared (Fig. 5A).
As the subculture progressed, the ratio of β-gal positive cells rapidly increased in DMSO-treated NS-MSCs. However, the rate of β-gal positive cells in NA-treated NS-MSCs was lower than that of DMSO-treated NS-MSCs, at the same passage. At passage 10, the ratio of β-gal positive cells in the DMSO treatment group and the NA treatment group was 24.41% and 9.85%, respectively (Fig. 5B). We also confirmed mRNA expression of aging-related genes at passage 10.
The doubling times of the DMSO treatment group and the NA treatment group were 32.69 and 24.72 hours, respectively (Fig. 5E). NA increases proliferation by attenuating replicative senescence and reducing the expression of the senescence marker.
MSCs have a high clinical value and are capable of homing to inflammation sites, tissue repair, and differentiation into many cell types. In particular, WJ-MSCs are widely used in cell therapy because of their higher yield and higher expression of pluripotency markers and are an excellent source of non-ethically restrictive MSCs (18). However, cellular senescence weakens therapeutic effect (19) and negatively impacts the use and potential of WJ-MSCs. Therefore, we aimed to suppress cellular senesce-nce in replicative senescent WJ-MSCs.
Cyclin/CDK complex is essential for G1 to S and G2 to M transitions. p16 and p21, cyclin/CDK complex inhibitors, are involved in cell cycle arrest (20). p21 and p16 are highly expressed in early- and late-stage senescence, respectively (21). Chromatin remodeling occurs upon p16 and p21 activation, leading to senescence programs such as SASP production and SA-β-gal activity (22). During replicative senescence, we found that p21 increased significantly in passage 9 and slightly decreased in passage 18, while p16 increased significantly with an increase of β-gal positive cells in passage 18. Therefore, p21 and p16 could determine the early and late senescent states, respectively.
Cellular senescence has been regarded as a permanent cell cycle arrest; however, recent studies have shown that senescent cells can re-enter the cell cycle in certain situations (23). In RS-MSCs, NA did not affect the protein expression of p21, but reduced the protein expression of p16 and the mRNA expression of SASP. It is expected that NA will eliminate RS-MSCs of late senescent state but not the early senescent state. Therefore, the remaining MSCs could re-enter the cell cycle through NA-induced genetic change, thus delaying senescence. Since RS-MSCs of late senescent state were removed by NA, SASP expression was also reduced. Decreased SASP expression contributes to the reduction of SASP secretion and senescence delay. Therefore, NA may be an important metabolite that suppresses senescence.
RS-MSCs reduce stemness and differentiation potential (24). Herein, replicative senescence reduced stemness of WJ-MSCs, but NA reversed this effect by suppressing senes-cence and significantly increasing CD44 and CD73. CD44 participates in migration, proliferation and invasion (25) and stimulates early angiogenesis in cancers (26). CD73 acts as an anti-inflammatory molecule and promotes cell viability and migration (27). Therefore, NA is likely to improves the therapeutic effects of MSCs by increasing migration and proliferation as well as increasing stemness in RS-MSCs.
In WJ-MSCs, replicative senescence interfered with the induction of differentiation. However, long-term treatment of NA remarkably promoted induction of adipogenesis in RS-MSCs. According to single-cell analysis, NA had a significant effect on lipid metabolism. Fatty acid activates the transcription of angiopoietin-like 4 (
MSCs are involved in tissue regeneration by secreting various proteins which promote angiogenesis and inhibit apoptosis (33). TSP4 is involved in blood vessels regeneration and angiogenesis promotion through TGF-β1 in endothelial cells (34). Also, TSP4-overexpressing bone marrow stromal cells increase the proliferation, migration and angiogenesis of human umbilical vein endothelial cells, enhance capillary formation in ischemic boundary zone, and improve therapeutic efficacy by recovering neurological function post-stroke through TGF-β/Smad2/3 signaling pathway (35). TSP1 is upregulated in senescent cells, promoting cell cycle arrest and senescence by increasing p16, p21, and p53. TSP1 participates in angiogenesis, proliferation and cell survival by binding to receptors such as β1 integrin, CD148, CD36, and CD47. CD36 increases with p16, β-galactosidase protein, and SASP in late senescence and suppresses angiogenesis, chemotaxis and cell survival through TSP1 binding. TSP1-CD47 pathway interrupts proliferation, cell cycle progression, angiogenesis and stem cell maintenance, promoting senescence (36). RS-MSCs treated with NA increased TSP4 secretion and decreased TSP1 secretion, which is expected to promote proliferation and angiogenesis, thereby improving the therapeutic effect of MSCs.
Senescent MSCs cause inflammation by producing secretory factors such as cytokines and growth factors, which affect their neighboring cells and accelerate cell aging (37). NA reduces the secretion of inflammatory factors by inhibiting the TLR4/NF-κB pathway in colitis model mice (38). In our study, we found that NA reduced the secretion of inflammatory-related SELE and IL17D in senescent MSCs. SELE is a pro-inflammatory gene that increases in replicative senescent endothelial cells and is induced by cytokines (39), and IL17D is affiliated to the IL17 family of cytokines involved in inflammation (40). We hypothesize that inflammatory factors were reduced because NA suppressed the expression of cytokines corresponding to SASP. Reduction of inflamma-tory factors by NA ameliorates senescence, thereby improving the therapeutic efficacy of MSCs.
Under the non-senescent state, WJ-MSCs treated with DMSO had a larger number of β-gal positive cells than WJ-MSCs cultured in normal media. As shown in Supplementary Fig. S3, WJ-MSCs were sensitive to DMSO even at low concentrations. Although 0.32% DMSO did not affect WJ-MSC viability, it induced senescence. Once DMSO provoked senescence in WJ-MSCs, cellular senescence accelerated as the subculture progressed. However, cellular senescence in NA-treated WJ-MSCs was delayed compared to that of DMSO-treated WJ-MSCs, during subsequent repetitive subculture. In addition, as aging was delayed, the expression of aging-related genes decreased, and proliferation increased. Therefore, NA treatment in NS-MSCs attenuates replicative senescence caused by continuous culture. Nevertheless, it is necessary to consider a countermeasure to prevent senescence caused by DMSO since DMSO exposure can promote senescence.
NA regulated cellular senescence through removal of senescent cells at optimal concentration. However, the RS-MSC viability was slightly increased at concentrations higher than the appropriate concentration. This result was observed in all experimental repeats; therefore, it is an NA-associated treatment limitation. This requires further investigation.
We confirmed for the first time that NA inhibits cellular senescence. NA inhibits senescence by removing senescent MSCs and delays further aging by reducing SASP expression. In addition, the NS-MSCs treated with NA are likely to be used as a prolonged treatment because NA attenuates replicative senescence, caused by repetitive subculture and increases proliferative capacity. Therefore, NA is expected to improve the regulation of cellular senescence.
There is no potential conflict of interest to declare.
Conceptualization: SJK, SEP. Data curation: SJK, SC. Formal analysis: SJK. Funding acquisition: HBJ, JWC. Investigation: SJK, SK, SC, EJL. Project administration: SJK, SK, SC. Resources: SJC, SYO, GHR. Software: SJK. Supervision: HBJ, JWC. Validation: SK, SC. Visualization: SJK, SK. Writing – original draft: SJK, SK, SC. Writing – review and editing: HBJ, JWC.
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (2021R1F1A1064060) and supported by the Korean Fund for Regenerative Medicine funded by the Ministry of Science and ICT, and Ministry of Health and Welfare (RS-2022-00060268). This research was also supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Ministry of Science & ICT (RS-2023-00223069) and supported by a grant from the Korea Health Technology R&D Project through the Korea Heal-th Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HR22C1363). This work was partly supported by the Collabo R&D between Industry, Academy, and Resea-rch Institute of MSS (S3098634), and by Samsung Medical Center (SMO1230051).
Supplementary data including three figures can be found with this article online at https://doi.org/10.15283/ ijsc23101
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