Abstract
Protein probes, including ultrafiltrates from the placenta (UPla) and lung (ULu) of postnatal rabbits, were investigated in premature senescent HEK293 and HepG2 cells to explore whether they could modulate cellular senescence. Tris-Tricine–PAGE, gene ontology (GO), and LC–MS/MS analysis were applied to describe the characteristics of the ultrafiltrates. HEK293 and HepG2 cells (both under 25 passages) exposed to a sub-toxic concentration of hydrogen peroxide (H2O2, 300 μM) became senescent; UPla (10 μg/mL), ULu (10 μg/mL), as well as positive controls lipoic acid (10 μg/mL) and transferrin (10 μg/mL) were added along with H2O2 to the cells. Cell morphology; cellular proliferation; senescence-associated beta-galactosidase (SA-β-X-gal) activity; expression of senescence biomarkers including p16 INK4A (p16), p21 Waf1/Cip1 (p21), HMGB1, MMP-3, TNF-α, IL-6, lamin B1, and phospho-histone H2A.X (γ-H2AX); senescence-related gene expression; reactive oxygen species (ROS) levels; and mitochondrial fission were examined. Tris-Tricine–PAGE revealed prominent detectable bands between 10 and 100 kDa. LC–MS/MS identified 150–180 proteins and peptides in the protein probes, and GO analysis demonstrated a distinct enrichment of proteins associated with “extracellular space” and “proteasome core complex”. UPla and ULu modulated senescent cell morphology, improved cell proliferation, and decreased beta-galactosidase activity, intracellular and mitochondrial ROS production, and mitochondrial fission caused by H2O2. The results from this study demonstrated that UPla and Ulu, as well as lipoic acid and transferrin, could protect HEK293 and HepG2 cells from H2O2-induced oxidative damage via protecting mitochondrial homeostasis and thus have the potential to be explored in anti-aging therapies.
Keywords: cellular senescence, cell proliferation, SA-β-X-gal, senescence marker, intracellular ROS, mitochondrial ROS, mitochondrial fission
1. Introduction
The aging process can be studied in cell cultures that express typical characteristics of senescence [1,2]. In addition to intrinsic or replicative senescence caused by telomere erosion, various other conditions including oxidative stress, oncogenes, and tumor suppressors can induce extrinsic or premature senescence [1,3]. Several cytological, biochemical, and molecular changes accompany cellular senescence, such as growth arrest; cell morphology changes; activation of tumor suppressor networks; induction of senescence-associated beta-galactosidase activity; increased formation of reactive oxygen species (ROS) and senescence-associated heterochromatic foci (SAHF); secretion of various factors or senescence-associated secretory phenotype (SASP), such as pro-inflammatory cytokines (e.g., TNF-α and IL-6) and matrix metalloproteinases (MMPs) (e.g., MMP3); and increased autophagy [3,4,5]. The downregulation of nuclear lamina lamin B1 is another biomarker of induced senescence [5]. Two vital pathways, p53 and p16/Rb, participate in regulating the implementation of senescence-mediated growth arrest [6].
Mitochondria are dynamic structures in cells continuously undergoing fission and fusion mediated mainly by dynamin family proteins, which are essential for mitochondrial morphology and the maintenance of mitochondrial networks and functions [7,8]. Mitochondrial fission and fusion reflect the cell’s response to its physiological condition and are related to cellular quality control [9,10]. Mitochondrial oxidative phosphorylation produces ROS as a byproduct, which can cause damage to mitochondrial macromolecules, e.g., DNA, proteins, lipids, etc. [10,11,12]. ROS generated by mitochondria account for 90% of the total ROS in cells [12], and mitochondrial deficits caused by ROS contribute mainly to cellular senescence [10,11]. Mitochondria show decreased function with age [11,12], and more ROS can be generated by defective mitochondria [9]. In addition to excessive ROS production and imbalanced mitochondrial dynamics, multiple mitochondrial signaling pathways contribute to the perturbation of mitochondrial homeostasis and cellular senescence [4].
An important aim of medicine is to reverse aging or slow down the aging process. As anti-aging molecules, small molecules and protein therapeutics have been used for decades with advantages and limitations. Various methodologies are being developed to improve biotherapeutics [13,14,15]. The anti-aging activities of natural products and synthetic drugs have been widely studied in senescent cell cultures and in vivo [16,17,18]. Antioxidant enzymes and proteins possess anti-aging activities [19].
HepG2 cells reportedly become senescent by H2O2 induction and express a unique secretory phenotype, namely, downregulated Ki67 and increased p21, heterochromatin protein 1β, SA-β-X-gal, SASP, and total secreted protein levels [20]. In this study, we modified and optimized the method by using 300 μM of H2O2 to treat HEK293 and HepG2 cells for three days, followed by a four-day recovery culture to construct cellular senescence models. A pre-experiment was carried out in the constructed senescent cells with a series of protein probes, including ultrafiltrates from the thymus, cartilage, kidney, placenta, lung, and CNS of postnatal rabbits, to investigate whether they could modulate cellular senescence. The initial results indicated that ultrafiltrates from the placenta (UPla) and lung (ULu) had the best effects. Thus, Upla and Ulu, both with abundant proteins known for their antioxidant activities, were further studied in H2O2-induced senescent HEK293 and HepG2 cells. Several senescence characteristics were examined: cell morphology and proliferation, SA-β-X-gal, senescence markers, and senescence-related genes, intracellular ROS and mitochondrial ROS levels, and mitochondrial fission. Our data showed that both protein probes could modulate the senescence characteristics in HEK293 and HepG2 cells by protecting mitochondrial homeostasis under oxidative stress conditions.
2. Results
2.1. Proteomic Analysis of the 300 kDa Ultrafiltrates from the Placenta and Lung Tissues
The 300 kDa ultrafiltrates from the postnatal rabbit placenta and lung were isolated using a non-protein-denaturing extraction method. The concentrations of the ultrafiltrates were 1–5 μg/μL according to the Bradford assay. The results from Tris-Tricine–PAGE revealed that prominent detectable bands were between 10 and 100 kDa (Figure 1). Analysis by LC–MS/MS identified 150–180 proteins and peptides in the protein probes (Tables S1 and S2).
2.2. Gene Ontology (GO) Enrichment Indicated That UPla and ULu Consisted of Proteins Related to Oxidative Stress Responses and Glutathione Metabolism
GO analysis was performed on the proteins identified in the LC–MS/MS experiments to identify functional components using all three branches of the GO tree. To identify significantly enriched pathways, an over-representation analysis employing hypergeometric distribution was performed, as described by Blüthgen et al. [21]. GO analysis of the ultrafiltrates exhibited a distinct, general enrichment of proteins that were particularly associated with “extracellular space” and “proteasome core complex”. Furthermore, the GO terms “glutathione metabolic process”, “glutathione transferase activity”, “antioxidant activity”, and “removal of superoxide radicals” were observed (Figure 2, Tables S3 and S4).
2.3. Toxicity of the Protein Probes
The toxicity of UPla and ULu was investigated with the MTT assay, as previously described [22]. UPla and ULu were not toxic below 200 μg/mL in HEK293 cells and below 100 μg/mL in HepG2 cells after 72 h of incubation with the cells. The concentration used for both lipoic acid and transferrin (10 μg/mL) was not toxic for HEK293 and HepG2 cells). No DNA contamination of the ultrafiltrates was observed.
2.4. UPla and ULu Modulated H2O2-Induced Senescent Cell Morphology in HEK293 and HepG2 Cells
Treatment with 300 μM of H2O2 induced senescent cell morphology, namely causing enlarged flattened cells compared to the normal control cells (Figure 3). The positive controls lipoic acid and transferrin as well as the protein probes UPla and ULu modulated this morphology, causing a slight change.
2.5. UPla and ULu Reversed H2O2-Caused Cell Growth Arrest
The cell proliferation marker Ki67, which is abundant in all cell cycle phases (G1, S, G2, and mitosis) of proliferating cells but not in the G0 phase of quiescent cells [23], was used to investigate the proliferation of induced senescent HEK293 and HepG2 cells. As shown in Figure 4, H2O2 induction effectively reduced cell proliferation in both cell lines, suggesting cell cycle arrest. The addition of lipoic acid, Upla, and ULu reversed the cell proliferation decrease in senescent HEK293 cells; meanwhile, transferrin, UPla, and ULu modulated cell cycle arrest in senescent HepG2 cells.
2.6. UPla and ULu Decreased H2O2-Induced Senescence-Associated Beta-Galactosidase (SA-β-X-gal) Activity
After being exposed to H2O2, the cells became senescent, which was embodied by elevated SA-β-X-gal activity compared to that of the control group, as shown in Figure 5. Treatment with UPla, Ulu, as well as the positive controls reduced the number of H2O2-stimulated SA-β-X-gal-positive cells. The positive control Mito-TEMPO (20 μM), which is a mitochondrial-targeted antioxidant [24,25], had a similar effect.
2.7. UPla and ULu Suppressed Intracellular ROS Production Caused by H2O2
In this study, compared to the control group, H2O2 raised the level of oxidative stress, as evidenced by the higher intracellular ROS levels detected by 2′-7′-dichlorodihydrofluorescein diacetate (DCFH-DA) staining (Figure 6). DCFH-DA is widely used to measure intracellular ROS [26]. Treatment with UPla, Ulu, as well as lipoic acid, transferrin, and tauroursodeoxycholic acid (TUDCA) significantly reduced ROS overproduction. The anti-apoptotic molecule TUDCA, which reduces endoplasmic reticulum (ER) stress [27], was used as a positive control. It was reported that mitochondria–endoplasmic reticulum (ER) contacts play important roles in promoting cellular senescence and aging [28]. Our results suggested that ER stress might be involved in H2O2-induced oxidative damage.
2.8. UPla and ULu Reduced Mitochondrial ROS Generation Caused by H2O2
Mitochondrial ROS levels were elevated by H2O2 (Figure 7), which was indicated by strong red fluorescence due to mitochondrial superoxide. The mitochondria were universally marked with MitoTracker Green. Pre-treatment with UPla and ULu considerably lowered mitochondrial ROS levels, which was similar to the results obtained with lipoic acid, transferrin, and Mito-TEMPO.
2.9. UPla and ULu Modulated H2O2-Induced Cellular Senescence Markers
Cyclin-dependent kinase inhibitor 2A (p16) and cyclin-dependent kinase inhibitor 1 (p21), which slow down the cell cycle, are two key senescence markers [5]. p21 transcription is induced by p53 [6]. High mobility group box 1 (HMGB1) relocation from the nucleus to the cytoplasm and extracellular milieu is an early cellular response to senescence conditions, and this relocation facilitates SASP (e.g., IL-6 and MMP3 secretion) [29,30,31]. MMP3, a member of the matrix metalloproteinases (MMPs) that break down the extracellular matrix, is a SASP factor [5,32,33]. Inflammation is closely associated with aging. One of the most prominent SASP cytokines is interleukin-6 (IL-6) [33,34,35]. TNF-α is another SASP cytokine [36]. Nuclear lamin proteins build up the lamina that lines the inner surface of the nucleus. The loss of lamin B1, which is an essential lamin protein, is a biomarker of senescence and is dependent on the p53 or pRb pathway [37]. In the induction of cellular senescence, DNA damage accumulates and DNA double-stranded breaks induce γ-H2AX formation, which is a widely used senescence marker [38,39,40].
In our experiment (Figure 8), HEK293 cells exposed to H2O2 displayed significantly increased levels of p16, HMGB1, TNF-α, IL-6, and γ-H2AX, but only slightly increased levels of p21 and MMP3. Pre-treatment with ULu as well as with transferrin prevented the p16 increase. Lipoic acid and transferrin reversed the p21 increase, and UPla and transferrin suppressed HMGB1 acceleration. Lamin B1 protein expression was greatly lost in H2O2-induced senescent HEK293 cells and treatment with UPla, ULu, lipoic acid, and transferrin restored its expression. However, UPla and ULu did not seem to modulate the elevated levels of MMP3, TNF-α, Il-6, and γ-H2AX.
Similarly, H2O2-treated HepG2 cells (Figure 9) became senescent and showed an increase in p16, p21, HMGB1, MMP3, IL-6, and γ-H2AX expression. Pre-treatment with ULu and transferrin modulated the p16 increase. ULu and lipoic acid alleviated the rise in HMGB1 levels, whereas UPla and ULu as well as lipoic acid counteracted the MMP3 increase, and lipoic acid blunted the changes in IL-6 levels.
2.10. UPla and ULu Modulated Senescence-Related Gene Expression
The expression of the selected 37 senescence-related genes (Table 1) in HepG2 cells after 7 days of culture with H2O2 treatment, with and without UPla and ULu, was investigated by DNA-microarray analysis using the Fluidigm Biomark system. As shown in Figure 10, the expression of 25 genes was significantly altered by H2O2 induction and was significantly modulated by UPla and Ulu, with the only exceptions being TNF, SIRT1, VCAN, and MMP2 (p < 0.05; the significance was evaluated with GenEX software, but is not shown in Figure 10). Among these, the expression of P21, MMP3, PTEN, RB1, CDKN1B, NFκB1, MAPK14, AKT1, LONP1, SDHA, SDHC, PDHA1, ITPR2, TNF, TGFB1, IGF2, BMI1, VCAN, MMP2, DAO, PRODH, and SLC52A was upregulated and reversed by UPla and Ulu, with the only exceptions being TNF, VCAN, and MMP2 (Table 2). Meanwhile, there was a decline in the expression of CDKN2A/p16, SIRT1, which encodes the longevity protein SIRT1, and LMNB1 (Table 3).
Table 1.
# | Gene | Catalog Number Thermo Fisher | Task |
---|---|---|---|
1 | 18S | Hs99999901_s1 | Reference gene |
2 | HMBS | Hs00609297_m1 | Reference gene |
3 | GAPDH | Hs99999905_m1 | Reference gene |
4 | TP53 | Hs01034249_m1 | Tumor suppressor gene |
5 | CDKN1A/P21 | Hs01040810_m1 | Cyclin-dependent kinase inhibitor 1A |
6 | CDKN2A/p16 | Hs00923894_m1 | Cyclin-dependent kinase inhibitor 2A |
7 | HMGB1 | Hs07287366_m1 | Senescence marker |
8 | LMNB1 | Hs01059205_m1 | Senescence marker |
9 | MMP3 | Hs00968305_m1 | Senescence marker, SASP |
10 | CHEK2 | Hs00200485_m1 | Tumor suppressor gene |
11 | PTEN | Hs02621230_s1 | Tumor suppressor gene |
12 | E2F1 | Hs00153451_m1 | Transcription factor, tumor suppressor gene, cell cycle |
13 | RB1 | Hs01078066_m1 | Tumor suppressor gene, signaling pathway |
14 | GADD45A | Hs00169255_m1 | Cell cycle arrest |
15 | CDKN1B | Hs00153277_m1 | Cyclin-dependent kinase inhibitor 1B (p27Kip1) |
16 | CDK4 | Hs00364847_m1 | Cyclin-dependent kinase 4 |
17 | CDC25C | Hs00156411_m1 | M-phase inducer phosphatase 3 |
18 | HRAS | Hs00610483_m1 | GTPase Hras, cell division, signaling |
19 | NFKB1 | Hs00765730_m1 | Signaling pathway |
20 | MAPK14 | Hs01051152_m1 | Signaling pathway |
21 | AKT1 | Hs00178289_m1 | Signaling pathway |
22 | LONP1 | Hs00998404_m1 | Mitochondrial protein |
23 | SDHA | Hs07291714_mH | Mitochondrial protein |
24 | SDHB | Hs01042482_m1 | Mitochondrial protein |
25 | SDHC | Hs00818427_m1 | Mitochondrial protein |
26 | PDHA1 | Hs01049345_g1 | Mitochondrial protein |
27 | ITPR2 | Hs00181916_m1 | Calcium channel |
28 | IL6 | Hs00174131_m1 | Secreted cytokines, SASP |
29 | TNF | Hs00174128_m1 | Secreted cytokines, SASP |
30 | TGFB1 | Hs00998133_m1 | Transforming growth factor beta 1, SASP |
31 | IGF2 | Hs04188276_m1 | Insulin-like growth factor |
32 | SIRT1 | Hs01009006_m1 | Longevity protein |
33 | BMI1 | Hs00409821_g1 | Polycomb ring finger oncogene |
34 | VCAN/CSPG2 | Hs00171642_m1 | [41] |
35 | COL1A1 | Hs00164004_m1 | [41] |
36 | MMP2 | Hs01548727_m1 | [41], SASP |
37 | DAO | Hs00266481_m1 | [41] |
38 | PRODH | Hs01574361_g1 | [42] |
39 | SLC52A1/GPR172B | Hs00606016_g1 | [42] |
40 | DLP1 | Hs01552605_m1 | Mitochondrial fission |
Table 2.
Gene | Task | Fold Change | UPla | ULu |
---|---|---|---|---|
CDKN1A/P21 | Cyclin-dependent kinase inhibitor 1A | 3.39 | Yes * | Yes |
MMP3 | Senescence marker, SASP | 5.26 | Yes | Yes |
PTEN | Tumor suppressor gene | 1.39 | Yes | Yes |
RB1 | Tumor suppressor gene, signaling pathway | 1.57 | Yes | Yes |
CDKN1B/p27 | Cyclin-dependent kinase inhibitor 1B | 1.11 | Yes | Yes |
NFκB1 | Signaling pathway | 1.13 | Yes | Yes |
MAPK14 | Signaling pathway | 1.68 | Yes | Yes |
AKT1 | Signaling pathway | 1.11 | Yes | Yes |
LONP1 | Mitochondrial protein | 1.05 | Yes | Yes |
SDHA | Mitochondrial protein | 2.64 | Yes | Yes |
SDHC | Mitochondrial protein | 1.24 | Yes | Yes |
PDHA1 | Mitochondrial protein | 1.66 | Yes | Yes |
ITPR2 | Calcium channel | 1.21 | Yes | Yes |
TNF | Secreted cytokines, SASP | 2.35 | No | No |
TGFB1 | Transforming growth factor beta 1, SASP | 1.81 | Yes | Yes |
IGF2 | Insulin-like growth factor | 1.50 | Yes | Yes |
BMI1 | Polycomb ring finger oncogene | 1.14 | Yes | Yes |
VCAN/CSPG2 | Induction greater than 4-fold in HPEC senescence [41] | 1.63 | No | No |
MMP2 | SASP, induction greater than 4-fold in HPEC senescence [41] | 1.37 | No | No |
DAO | Induction greater than 4-fold in HPEC senescence [41] | 1.69 | Yes | Yes |
PRODH | Identified in senescence depending on p53 [42] | 2.77 | Yes | Yes |
SLC52A1/GPR172B | Identified in senescence depending on p53 [42] | 3.32 | Yes | Yes |
Gene expression was normalized to HMBS expression. Fold change is the ratio of expression in senescent cells to the expression in the control groups. * Yes: Upla or Ulu modulated H2O2-caused gene expression alterations. No: UPla or ULu did not affect gene expression changes.
Table 3.
Gene | Task | Fold Change | UPla | ULu |
---|---|---|---|---|
CDKN2A/p16 | Cyclin-dependent kinase inhibitor 2A | 0.75 | Yes | Yes |
LMNB1 | Senescence marker | 0.84 | Yes | Yes |
SIRT1 | Longevity protein | 0.78 | Yes | No |
The gene expression of CDKN1A/P21 and CDKN1B/P27 was upregulated by H2O2, whereas CDKN2A/P16 gene expression was downregulated; these results were similar to those of another study in which H2O2 induced cellular senescence [43]. These results combined with the overexpression of MAPK14, RB1, and PTEN suggested the involvement of the p53 and PTEN-p27Kip1 pathways in the cell cycle arrest in H2O2-induced HepG2 senescence [44,45]. Contrary to prediction, the expression of the mitochondria-related genes LONP1, SDHA, SDHC, PDHA1, and PRODH was elevated by H2O2, which could hardly be explained. DLP1 expression was not elevated significantly, but mitochondrial fission increased upon H2O2 treatment (Figure 11), which was probably mediated by other proteins. The overexpression of NFκB1, AKT1, ITPR2, and IGF2 indicated the involvement of multiple signaling pathways, such as inflammation, the insulin/IGF pathway, calcium homeostasis, endoplasmic reticulum (ER) stress, etc., in H2O2-induced HepG2 senescence.
2.11. UPla and ULu Ameliorated Mitochondrial Fission Increase Caused by H2O2
Mitochondria are dynamic organelles that undergo fission and fusion all the time to compensate for nonfunctional mitochondria and eliminate damaged organelles in response to metabolic changes [9,10]. In this study, H2O2 caused accelerated mitochondrial fission (Figure 11), which was reflected by increased numbers of spherical or fragmented mitochondria in HepG2 cells. Treatment with UPla, ULu, as well as with lipoic acid, transferrin, and Mito-TEMPO rescued cells from H2O2-induced oxidative stress.
3. Discussion
After H2O2 induction, HEK293 and HepG2 cells produced more ROS and developed senescent phenotypes. Both UPla and ULu modulated H2O2-induced changes in cell morphology, cell proliferation arrest, and X-gal staining. Some proteins and peptides have the potential to act as antioxidants that can inhibit lipid oxidation through different pathways, including the inactivation of ROS [46]. UPla and ULu both reduced the H2O2-mediated ROS elevation in HEK293 cells, reflecting the antioxidant activity of UPla and ULu that was associated with the GO terms “antioxidant activity” and ”removal of superoxide radicals.” According to LC–MS/MS analyses, superoxide dismutase (SOD) appeared in the two protein probes as a major component. SOD, a family of metalloenzymes, deactivates superoxide from mitochondria and other sources, turning it into O2 and H2O2 which are further decomposed to H2O by catalase or glutathione peroxidase [47,48]. In addition to Cu/ZnSOD and MnSOD in the intracellular space, extracellular Cu/ZnSOD (EC-SOD) exists in many species and defends the cells specifically against extracellular superoxide [47,49,50]. Research revealed the role of EC-SOD in controlling oxidative stress and suggested a more beneficial protective effect when EC-SOD was combined with other hydrogen-scavenging substances, such as catalase, glutathione peroxidase, etc. [51,52]. Moreover, cell metabolism is altered upon cellular senescence [53]. The GO terms “glutathione metabolic process” and “glutathione transferase activity” indicated the role of the two probes in modulating cell metabolism or acting as mitochondria-targeted antioxidants [54] in HEK293 and HepG2 senescence. α-lipoic acid, which can be rapidly absorbed by cells [25], has been reported to reduce ROS overproduction as a mitochondria-targeted antioxidant in various metabolic syndromes [54], which might explain its effects in this study.
Mitochondria are the main producers and targets of ROS [55]. It is reported that cellular senescence could be promoted by perturbation of mitochondrial homeostasis via six pathways: first, the excessive production of ROS; second, impaired mitochondrial dynamics; third, electron transport chain defects; fourth, bioenergetic imbalance/increased AMPK activity; fifth, decreased mitochondrial NAD+/altered metabolism; and sixth, mitochondrial Ca2+ accumulation. Electron transport chain defects contribute to ROS overproduction and decreased NAD+ levels, which further leads to a decrease in sirtuin activity. ROS overproduction and bioenergetic imbalance/increased AMPK activity could activate the p16/Rb and p53/p21 pathways [4]. In this study, UPla and ULu modulated accelerated mitochondrial fission, reversed H2O2-caused SIRT1 gene downregulation and ITPR2 gene increase which was associated with calcium influx. ULu reversed the p16 protein increase in both cells, and UPla and ULu modulated p21 gene expression in HepG2 cells.
In addition to modulating mitochondrial homeostasis under oxidative stress, UPla and ULu restored lamin B1 protein levels in HEK293 cells and LMNB1 gene expression in HepG2 cells. UPla suppressed HMGB1 protein accumulation in senescent HEK293 cells, and ULu modulated HMGB1 protein elevation in senescent HepG2 cells. UPla and ULu inhibited many H2O2-induced senescence-related gene expression changes. It has been reported that environmental stresses activate p38MAPK-dependent NF-κB signaling and cellular senescence. NF-κB signaling is the major signaling pathway that induces SASP. The TGF-β-TAK1 pathway activates NF-κB signaling, and NF-κB signaling and inflammatory mediators could be potentiated by HMGB1. Finally, p16INK4a is one of the inhibitors of NF-κB signaling [56]. The results in this study, namely H2O2-induced increases in the gene expression of MAPK14, NFκB1, MMP3, MMP2, TNF, and TGFB1 but not p16, as well as HMGB1 protein acceleration, are in accordance with these theories.
In conclusion, ultrafiltrates of the placenta and lung tissues from postnatal rabbits can modulate H2O2-induced cellular senescence in HEK293 and HepG2 cells through multiple and complex pathways, particularly by protecting mitochondrial homeostasis under oxidative stress conditions. Further studies could be performed in vivo to investigate their anti-senescence and anti-aging functions.
4. Materials and Methods
4.1. Materials and Cells
Hydrogen peroxide, 2′,7′-dichlorfluorescein-diacetat (DCFH-DA), Mito-TEMPO, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), lipoic acid, and transferrin were obtained from Sigma-Aldrich (Darmstadt, Germany). TUDCA was bought from Avanti Polar Lipids, Inc. (Alabaster, AL, USA). MitoTracker™ Red CMXRos; MitoSOX™ Red; DAPI; Goat anti-Mouse IgG (H + L), Superclonal™ Recombinant Secondary Antibody, Alexa Fluor™ 488; and goat anti-Rabbit IgG (H + L), Cross-Adsorbed Secondary Antibody, Alexa Fluor™ 488 were purchased from Thermo Fisher Scientific (Karlsruhe, Germany). MitoTracker® Green FM was obtained from Cell Signaling Technology (Leiden, The Netherlands). Mouse anti-Ki-67 antibody was bought from BD Sciences (BD Pharmingen™, Heidelberg, Germany).
Human embryonic kidney (HEK) 293 cells were kindly provided by Dr. Rolf Sprengel (Department of Molecular Neurobiology, Max Planck Institute for Medical Research, Heidelberg, Germany). Human hepatocellular carcinoma cell line HepG2 was a kind gift from Prof. Stephan Urban (Department of Infectious Diseases, Molecular Virology, Centre for Integrative Infectious Disease Research (CIID), Heidelberg University, Heidelberg, Germany).
4.2. Production of UPla and ULu
Frozen (no more than −20 °C) 1–2-day-old specimens of laboratory-grade postnatal rabbits (Oryctolagus cuniculus, broiler rabbit lineage M91) with their placentas were received, thawed, washed, and dried off. The rabbits were maintained for use in broiler rabbit production systems by interline hybridization from New Zealand White rabbits and were bred at the Institute of Small Farm Animals at the Research Institute of Animal Production Nitra, Slovakia. The placenta (for UPla) and lungs (for ULu) were removed and placed into sterile test tubes with saline solution and homogenized for 5 min. The homogenized solutions were transferred into clean test tubes (50 mL) and centrifuged at 6000 rpm at 10 °C for 10 min. After pre-filtration with ceramic filters, micro- and ultrafiltration were performed. Namely, using a benchtop crossflow system (Sartorius Sartoflow Benchtop system, Göttingen, Germany), the samples were micro-filtered through a 0.45 kDa cassette followed by ultrafiltration with a 300 kDa cut-off cassette. The final permeates, UPla and ULu, were separately collected into sterile flasks for use. The whole manufacturing process was standardized and performed under cooling conditions.
4.3. Bradford Assay
A 10 µL sample was pipetted in triplicate into the wells of a microplate with standard bovine serum albumin (BSA) protein solutions (50, 100, and 150 g/mL) or Milli Q water. Then, 100 µL of Bradford reagent (Proteome Factory PS-2009) [57] was added to each sample and mixed well. After 15 min, the absorbance was assessed at 595 nm using a spectrophotometer (Titertek Multiscan TCC/340, Thermo Fisher Scientific, Langenselbold, Germany). A standard curve constructed in Excel by plotting the absorbance values (y-axis) versus their concentrations in µg/mL (x-axis) was used to calculate the sample concentrations.
4.4. Tris-Tricine–PAGE
Tricine–SDS-PAGE is commonly used to separate proteins in the mass range of 1–100 kDa. It is the preferred electrophoretic system for proteins with a resolution smaller than 30 kDa. A sample (5 µg or 12 µL) was mixed with 4× Laemmli sample buffer (250 mM Tris, pH 6.8; 12% glycerol; 4% sodium dodecyl sulfate (SDS); 10% beta-mercaptoethanol; 0.05% bromphenol blue) and then boiled for 5 min at 95 °C. Following the method described by Schägger and Jagow [58], samples were separated on a gel after cooling (7 × 8 cm; 4% stacking gel [4% acrylamide: bisacrylamide (29:1)]; 68 mM tris, pH 6.8; 0.2% SDS; 0.2% N,N,N′,N′-tetramethylethylenediamine (TMED); 0.03% ammonium persulphate (APS) with 18% separating gel [18% acrylamide: bisacrylamide (32:1)]; 1 M Tris, pH 8.45; 0.1% SDS; 14% glycerine; 0.05% TMED; 0.05% APS) at 150 V for 180 min (Mini-protein II Dual Slab Cell, Bio-Rad, Feldkirchen, Germany). The protein sizes were calculated by comparing the migration of the protein bands to molecular mass standards (Mark12, Thermo Darmstadt, Germany) after the gel was stained with mass spectrometry-compatible silver staining (Proteome Factory PS-2001, Proteome Factory AG, Berlin, Germany). The gel was scanned using a ScanMaker 9800 XL plus scanner (Microtek International Inc., Hsinchu, Taiwan) with a transparency adaptor at a resolution of 150 dpi.
4.5. Liquid Chromatography–Mass Spectrometry/Mass Spectrometry (LC–MS/MS) Analysis
LC–MS/MS analysis of the proteins was performed using an UltiMate 3000 nano HPLC system (Thermo Scientific, Germering, Germany). Water served as solvent A and acetonitrile served as solvent B (with 0.1% formic acid additions). Aliquots of 200 µg proteolytic peptides obtained via trypsin were loaded onto a trapping column (maintained at 35 °C) for desalting (Thermo Scientific, Dionex, PepMap C18, Sunnyvale, CA, USA) before the peptides were separated by gradient elution on a 500 × 0.075 mm column (0.5 µL/min, held at 50 °C; Reprosil C18-AQ, Dr. Maisch) from 12% to 40% B. The column effluent was directed to an Orbitrap Velos mass spectrometer via a nanoelectrospray ion source (Thermo Scientific, Bremen, Germany). Up to 10 MS/MS spectra from ions of interest (charge states +2 and higher) were data-dependently captured in the instrument’s linear ion trap, while survey scans were detected at a notional resolution of R = 60,000. The total acquisition time of each analysis was 45 min.
4.6. Database Search with Mascot
Proteins were identified using database searches against Oryctolagus cuniculus sequences from the NCBI protein database (National Center for Biotechnology Information, Bethesda, MD, USA) or the UniProt proteome UP000001811 [59] using an MS/MS ion search of the Mascot search engine (version 2.6.2, Matrix Science, London, UK). Only peptides that matched with a score of 20 or above were accepted.
4.7. Bioinformatics
To map the proteins to GO terms, the R packages “biomaRt” (version 2.38.0) [60] and “UniProt.ws” (version 2.22.0) [61] were used. We detected significantly enriched GO terms using an over-representation approach as implemented in the R package “topGO” (version 2.32.0) [62]. The “topGO” package performs enrichment analysis of Gene Ontology terms while accounting for the topology of the GO graph. We used p-values corrected for multiple testing. To assign proteins to KEGG pathways, we used the R packages “KEGG.db” (version 3.2.3) [63] and “KEGGREST” (version 1.20.1) [64]. To identify significantly enriched pathways, we performed an over-representation analysis employing hypergeometric distribution, as described by Blüthgen et al. [21].
4.8. Cell Culture and Cell Viability with MTT Assay
HEK293 cells were cultured in Dulbecco’s Modified Eagle Medium (Gibco™, Thermo Fisher Scientific, Karlsruhe, Germany) supplemented with 10% fetal bovine serum (FBS, Capricorn Scientific, Ebsdorfergrund, Germany) and 100 U/mL of penicillin and streptomycin (Gibco™, Thermo Fisher Scientific, Karlsruhe, Germany). HepG2 cells were cultured in Eagle’s Minimum Essential Medium (LGC, Wesel, Germany) supplemented with 10% FBS and 100 U/ML of penicillin and streptomycin.
The toxicity of H2O2 and the single modulators lipoic acid, transferrin, UPla, and ULu was tested in HEK293 and HepG2 cells. In total, 3 × 104 cells were seeded in 96-well plates and incubated at 37 °C for 24 h. Hydrogen peroxide with or without the single substances was added, and the cells were further incubated at 37 °C for 72 h. Afterwards, the media were removed, and 0.5% MTT prepared in media was added to each well. After 2–4 h of incubation at 37 °C, the media were replaced with DMSO, and the absorption was read at 570 nm using the Tecan NanoQuant Infinite M200 PRO Plate Reader (Tecan, Männedorf, Switzerland).
4.9. Cellular Senescence Induction and Cell Morphology Observation
The sub-toxic concentration of H2O2 (300 μM) was used to treat normal HEK293 and HepG2 cells (both under 25 passages) for three days with media refreshed every day, followed by a four-day recovery culture in regular media without H2O2, whereby the media were changed one day before the assay. Thus, HEK293 and HepG2 cells were regarded as being induced to become premature senescent cells. The substances UPla (10 μg/mL), ULu (10 μg/mL), as well as lipoic acid (10 μg/mL), and transferrin (10 μg/mL) were added along with H2O2 to the cells. Lipoic acid was used as a positive control. The glycoprotein transferrin, which specifically binds ferric ions [46], was chosen as a positive protein control. In all the experiments, the same concentration (10 μg/mL) was used for the single substances. Cell morphology was studied under light microscopy (Zeiss AxioVert.A1, Oberkochen, Germany).
4.10. SA-β-X-Gal Staining
The senescence-associated beta-galactosidase activity in the induced senescent HEK293 and HepG2 cells, with or without the single substances, was measured using the Senescence Cells Histochemical Staining Kit (Sigma-Aldrich, Darmstadt, Germany), following the kit’s instructions. Cells were analyzed via bright-field microscopy (Zeiss Axiovert 135 TV, Oberkochen, Germany) and photos were taken. The percentage of SA-β-X-gal-positive cells was calculated to represent the results.
4.11. Detection of Cellular Proliferation with Ki67 Antibody
HEK293 and HepG2 cells pre-treated with the single substances lipoic acid (10 μg/mL), transferrin (10 μg/mL), UPla (10 μg/mL), and ULu (10 μg/mL) plus H2O2 (300 μM) were fixed with 4% paraformaldehyde (PFA) for 20 min and then treated with 0.1% triton for 15 min. After washing the cells with phosphate-buffered saline (PBS) three times, 10% goat serum was added to the cells, and the cells were kept at room temperature for 1 h. Then, purified mouse anti-Ki-67 antibody (BD Pharmingen™, Heidelberg, Germany) prepared in PBS was added to the cells, and the cells were incubated at 4 °C overnight. After washing the cells with PBS, Goat anti-Mouse IgG (H + L), Superclonal™ Recombinant Secondary Antibody, Alexa Fluor™ 488 (Invitrogen, Thermo Fisher, Karlsruhe, Germany) was added to the cells for further incubation at room temperature for 1 h. DAPI was used to stain the nuclei for 5 min. Then, the cells were studied under confocal microscopy (Zeiss LSM700, Oberkochen, Germany).
4.12. Intracellular ROS
HEK293 cells pre-treated with lipoic acid (10 μg/mL), transferrin (10 μg/mL), TUDCA (100 μM), UPla (10 μg/mL), and ULu (10 μg/mL) plus H2O2 were treated with 25 μM of DCFH-DA for 30 min. After washing with PBS twice, the accumulation of DCF was visualized at 488 nm under fluorescence microscopy (Zeiss Axiovert 200, Oberkochen, Germany).
4.13. Mitochondrial ROS
HEK293 cells pre-treated with lipoic acid (10 μg/mL), transferrin (10 μg/mL), Mito-TEMPO (20 μM), UPla (10 μg/mL), and ULu (10 μg/mL) with H2O2 were rinsed with PBS and cultured in pre-warmed DMEM medium containing 30 nM of MitoTracker Green and 4 μM of MitoSOX™ Red at 37 °C for 30 min. After washing with PBS, fresh DMEM was added and the cells were observed under confocal microscopy (Zeiss LSM700, Oberkochen, Germany). The mean values of the integrated density of red fluorescence due to MitoSOX™ Red oxidization by mitochondrial superoxide were evaluated.
4.14. Immunofluorescence Staining and Confocal Microscopy
HEK293 and HepG2 cells pre-treated with single substances lipoic acid (10 μg/mL), transferrin (10 μg/mL), UPla (10 μg/mL), and ULu (10 μg/mL) plus H2O2 (300 μM) in 24-well plates were fixed with 4% PFA for 20 min and then treated with 0.1% triton for 15 min. After washing the cells with PBS three times, 10% goat serum was added. After 1 h of incubation, the senescence marker antibodies p16 INK4A (D3W8G) Rabbit mAb, p21 Waf1/Cip1 (12D1) Rabbit mAb, phospho-histone H2A.X (Ser139), lamin B1 (D9V6H) Rabbit mAb, HMGB1 (D3E5) Rabbit mAb, IL-6 (D3K2N) Rabbit mAb, TNF-α (D5G9) Rabbit mAb, and MMP-3 (D7F5B) Rabbit mAb from the Senescence Marker Antibody Sampler Kit (Cell signaling, Leiden, The Netherlands) were added, and the cells were incubated at 4 °C overnight. After washing with PBS, Goat anti-Rabbit IgG (H + L), Cross-Adsorbed Secondary Antibody, Alexa Fluor™ 488 (Invitrogen, Thermo Fisher, Karlsruhe, Germany) was added, and the cells were incubated for 1 h at room temperature. DAPI was used to stain nuclei for 5 min. The images were recorded with a confocal microscope (Zeiss LSM700, Oberkochen, Germany).
4.15. Gene Expression Analysis by Microfluidic High-Throughput Real-Time PCR
HepG2 cells pre-treated with H2O2 with or without UPla and ULu were harvested by trypsinization. Following the kit’s instruction, total RNA was extracted from the cell pellets using a NucleoSpin RNA Mini kit for RNA purification (MACHEREY-NAGEL, Dueren, Germany). The purity of the RNA was verified using a NanoDrop (Thermo Fisher Scientific, Karlsruhe, Germany). The integrity of the RNA samples was verified using the Agilent TapeStation system (Agilent Technologies, Santa Clara, CA, USA). The samples were diluted to a final concentration of 20 ng/µL. For reverse transcription and pre-amplification, the inventoried TaqMan assays (Thermo Fisher Scientific, Karlsruhe, Germany) were pooled to a final concentration of 0.2× for each of the assays in TE buffer with a pH of 7. On a 96-well plate, a reaction mix was prepared with 5.0 µL of RXN direct buffer 2×, 2.5 µL of assay pool 0.2×, 0.2 µL of Superscript III Platinum Taq mix (Invitrogen, Thermo Fisher Scientific, Karlsruhe, Germany), 1.3 µL of RNase free water, and 1 µL (20 ng) of total RNA. Sequence-specific reverse transcription was performed at 50 °C for 15 min. The reverse transcriptase was inactivated by heating it to 95 °C for 2 min. In the same tube, cDNA underwent limited sequence-specific amplification by denaturing at 95 °C for 15 sec and 18-cycle annealing and amplifying at 60 °C for 4 min. These pre-amplified products were 5-fold diluted in water before analysis with Universal PCR Master Mix (Thermo Fisher Scientific, Karlsruhe, Germany) and inventoried TaqMan gene expression assays using a 96.96 Dynamic Array Microfluidic Chip on a Biomark HD system (Fluidigm/Standard BioTools, San Francisco, CA, USA). Each sample was analyzed in three technical replicates. GenEx statistical analysis was performed as previously described [65].
4.16. Mitochondrial Fission
HepG2 cells pre-treated with lipoic acid, transferrin, Mito-TEMPO, Upla, and ULu were treated with 200 nmol/mL of MitoTracker™ Red CMXRos for 30 min and visualized using the confocal microscope (Zeiss LSM700, Oberkochen, Germany). Ninety cells were counted, and the percentage of cells undergoing mitochondrial fission was compared among groups. Spherical or fragmented mitochondria were considered to be undergoing mitochondrial fission in contrast to normal mitochondria presenting the reticular form [66].
4.17. Statistical Analysis
All of the results are expressed as the mean ± SD from three independent experiments. The quantification of the fluorescence densities indicating intracellular ROS was performed using ImageJ 152-win-java8 (NIH, Bethesda, MD, USA) and GraphPad Prism 7 (GraphPad Software, San Diego, CA, USA). Ct values obtained from the Biomark system were analyzed using GenEx software (MultiD). Statistical significance was assessed with one-way ANOVA analysis. The difference was regarded as significant when p < 0.05.
Acknowledgments
We thank Ulf Bergmann (Proteome Factory AG, Berlin, Germany) for performing the proteomics analysis (Tris-Tricine–PAGE and LC/MS-MS) for this project. We thank Christian F. Ackermann (Nikon Imaging Center, Heidelberg University) for the confocal microscopy technical training, and we thank Ing. Lubomír OndruškaIng (Institute of Small Farm Animals at the Research Institute of Animal Production Nitra, Slovakia) for his help with the rabbit specifications.
Abbreviations
HMBS: hydroxymethylbilane synthase; TP53: Tumor Protein P53; CDKN1A/P21: cyclin-dependent kinase inhibitor 1A; CDKN2A/p16: cyclin-dependent kinase inhibitor 2A; HMGB1: high mobility group box 1; LMNB1: lamin B1; MMP3: matrix metalloproteinase 3; CHEK2: checkpoint kinase 2; PTEN: phosphatase and tensin homolog deleted on chromosome ten; RB1: retinoblastoma gene 1; GADD45A: growth arrest and DNA-damage-inducible alpha; CDKN1B: cyclin-dependent kinase inhibitor 1B; CDK4: cyclin-dependent kinase 4; CDC25C: cell division cycle 25C; NFKB1: nuclear factor kappa B subunit 1; MAPK14: mitogen-activated protein kinase 14; LONP1: lon peptidase 1; SDHA: succinate dehydrogenase; SDHB: succinate dehydrogenase; SDHC: succinate dehydrogenase; PDHA1: pyruvate dehydrogenase alpha 1; ITPR2: inositol 1,4,5-trisphosphate receptor type 2; IL6: interleukin 6; TNF: tumor necrosis factor; TGFB1: transforming growth factor beta 1; IGF2: insulin-like growth factor 2; SIRT1: sirtuin 1; BMI1: polycomb ring finger oncogene; VCAN/CSPG2: chondroitin sulfate proteoglycan 2; COL1A1: collagen, type I, alpha 1; MMP2: matrix metalloproteinase 2; DAO: D-amino acid oxidase; PRODH: proline dehydrogenase; SLC52A1/GPR172B: solute carrier family 52 (riboflavin transporter), member 1; DLP1: dynamin 1-like (DNM1L).
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms24076748/s1.
Author Contributions
Conceptualization, J.Z., K.L., M.W., M.K.S.C. and T.S.; methodology, J.Z., K.L., C.B., G.B., J.P.S., M.B.F.W. and T.S.; software, C.B.; investigation, J.Z., C.B., G.B., H.D. and J.P.S.; writing—original draft preparation, J.Z., C.B., G.B., J.P.S. and T.S.; writing—review and editing, J.Z., K.L., M.W. and T.S.; project administration, T.S. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Animal care and treatment as well as the experimental procedures were approved by the Institute of Small Farm Animals at the Research Institute of Animal Production Nitra, Slovakia, following Slovakian law based on the Act of 12 December 2006 on veterinary care 39/2007 Coll.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data is contained within the article or Supplementary Materials.
Conflicts of Interest
The authors declare no conflict of interest. Authors affiliated with the European Wellness Academy and European Wellness International were not involved in formal analysis and investigation. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
Funding Statement
This research was funded by the University Clinic Heidelberg and EW European Wellness International GmbH under the project number D.10055417.
Footnotes
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References
- 1.Itahana K., Campisi J., Dimri G.P. Mechanisms of cellular senescence in human and mouse cells. Biogerontology. 2004;5:1–10. doi: 10.1023/B:BGEN.0000017682.96395.10. [DOI] [PubMed] [Google Scholar]
- 2.Campisi J. Cellular senescence: Putting the paradoxes in perspective. Curr. Opin. Genet. Dev. 2011;21:107–112. doi: 10.1016/j.gde.2010.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kuilman T., Michaloglou C., Mooi W.J., Peeper D.S. The essence of senescence. Gene. Dev. 2010;24:2463–2479. doi: 10.1101/gad.1971610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ziegler D.V., Wiley C.D., Velarde M.C. Mitochondrial effectors of cellular senescence: Beyond the free radical theory of aging. Aging Cell. 2015;14:1–7. doi: 10.1111/acel.12287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wang A.S., Dreesen O. Biomarkers of cellular senescence and skin aging. Front. Genet. 2018;9:247. doi: 10.3389/fgene.2018.00247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.McHugh D., Gil J. Senescence and aging: Causes, consequences, and therapeutic avenues. J. Cell Biol. 2018;217:65–77. doi: 10.1083/jcb.201708092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.van der Bliek A.M., Shen Q., Kawajiri S. Mechanisms of mitochondrial fission and fusion. Cold Spring Harb. Perspect. Biol. 2013;5:a011072. doi: 10.1101/cshperspect.a011072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Archer S.L. Mitochondrial dynamics—Mitochondrial fission and fusion in human diseases. N. Engl. J. Med. 2013;369:2236–2251. doi: 10.1056/NEJMra1215233. [DOI] [PubMed] [Google Scholar]
- 9.Youle R.J., van der Bliek A.M. Mitochondrial fission, fusion, and stress. Science. 2012;337:1062–1065. doi: 10.1126/science.1219855. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Westermann B. Mitochondrial fusion and fission in cell life and death. Nat. Rev. Mol. Cell Biol. 2010;11:872–884. doi: 10.1038/nrm3013. [DOI] [PubMed] [Google Scholar]
- 11.Shigenaga M.K., Hagen T.M., Ames B.N. Oxidative damage and mitochondrial decay in aging. Proc. Nail. Acad. Sci. USA. 1994;91:10771–10778. doi: 10.1073/pnas.91.23.10771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Balaban R.S., Nemoto S., Finkel T. Mitochondria, oxidants, and aging. Cell. 2005;120:483–495. doi: 10.1016/j.cell.2005.02.001. [DOI] [PubMed] [Google Scholar]
- 13.Johnson-Léger C., Power C.A., Shomade G., Shaw J.P., Proudfoot A.E. Protein therapeutics—Lessons learned and a view of the future. Expert Opin. Biol. Ther. 2006;6:1–7. doi: 10.1517/14712598.6.1.1. [DOI] [PubMed] [Google Scholar]
- 14.Dimitrov D.S. Therapeutic proteins. Methods Mol. Biol. 2012;899:1–26. doi: 10.1007/978-1-61779-921-1_1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Woodnutt G., Violand B., North M. Advances in protein therapeutics. Curr. Opin. Drug Discov. Devel. 2008;11:754–761. [PubMed] [Google Scholar]
- 16.Argyropoulou A., Aligiannis N., Trougakos I.P., Skaltsounis A. Natural compounds with anti-ageing activity. Nat. Prod. Rep. 2013;30:1412. doi: 10.1039/c3np70031c. [DOI] [PubMed] [Google Scholar]
- 17.Kapoor V.K., Dureja J., Chadha R. Synthetic drugs with anti-ageing effects. Drug Discov. Today. 2009;14:899–904. doi: 10.1016/j.drudis.2009.07.006. [DOI] [PubMed] [Google Scholar]
- 18.Gurău F., Baldoni S., Prattichizzo F., Espinosa E., Amenta F., Procopio A.D., Albertini M.C., Bonafè M., Olivieri F. Anti-senescence compounds: A potential nutraceutical approach to healthy aging. Ageing Res. Rev. 2018;46:14–31. doi: 10.1016/j.arr.2018.05.001. [DOI] [PubMed] [Google Scholar]
- 19.Liu M., Chen S., Zhang Z., Li H., Sun G., Yin N., Wen J. Anti-ageing peptides and proteins for topical applications: A review. Pharm. Dev. Technol. 2022;27:108–125. doi: 10.1080/10837450.2021.2023569. [DOI] [PubMed] [Google Scholar]
- 20.Irvine K.M., Skoien R., Bokil N.J., Melino M., Thomas G.P., Loo D., Gabrielli B., Hill M.M., Sweet M.J., Clouston A.D., et al. Senescent human hepatocytes express a unique secretory phenotype and promote macrophage migration. World J. Gastroenterol. 2014;20:17851–17862. doi: 10.3748/wjg.v20.i47.17851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Blüthgen N., Brand K., Cajavec B., Swat M., Herzel H., Beule D. Biological profiling of gene groups utilizing Gene Ontology. Genome Inform. 2005;16:106–115. [PubMed] [Google Scholar]
- 22.Zhou J., Wink M. Reversal of multidrug resistance in human colon cancer and human leukemia cells by three plant extracts and their major secondary metabolites. Medicines. 2018;5:123. doi: 10.3390/medicines5040123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Scholzen T., Gerdes J. The Ki-67 protein: From the known and the unknown. J. Cell Physiol. 2000;182:311–322. doi: 10.1002/(SICI)1097-4652(200003)182:3<311::AID-JCP1>3.0.CO;2-9. [DOI] [PubMed] [Google Scholar]
- 24.Trnka J., Blaikie F.H., Logan A., Smith R.A., Murphy M.P. Antioxidant properties of MitoTEMPOL and its hydroxylamine. Free. Radic. Res. 2009;43:4–12. doi: 10.1080/10715760802582183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Apostolova N., Victor V.M. Molecular strategies for targeting antioxidants to mitochondria: Therapeutic implications. Antioxid. Redox Signal. 2015;22:686–729. doi: 10.1089/ars.2014.5952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Eruslanov E., Kusmartsev S. Identification of ROS using oxidized DCFDA and flow-cytometry. Methods Mol. Biol. 2010;594:57–72. doi: 10.1007/978-1-60761-411-1_4. [DOI] [PubMed] [Google Scholar]
- 27.Yoon Y.M., Lee J.H., Yun S.P., Han Y., Yun C.W., Lee H.J., Noh H., Lee S., Han H.J., Lee S.H. Tauroursodeoxycholic acid reduces ER stress by regulating of Akt-dependent cellular prion protein. Sci. Rep. 2016;6:39838. doi: 10.1038/srep39838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ziegler D.V., Vindrieux D., Goehrig D., Jaber S., Collin G., Griveau A., Wiel C., Bendridi N., Djebali S., Farfariello V., et al. Calcium channel ITPR2 and mitochondria–ER contacts promote cellular senescence and aging. Nat. Commun. 2021;12:720. doi: 10.1038/s41467-021-20993-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kim D.E., Davalos A.R. Alarmin detection in senescent cells. Methods Mol. Biol. 2019;1896:71–81. doi: 10.1007/978-1-4939-8931-7_8. [DOI] [PubMed] [Google Scholar]
- 30.Davalos A.R., Kawahara M., Malhotra G.K., Schaum N., Huang J., Ved U., Beausejour C.M., Coppe J., Rodier F., Campisi J. p53-dependent release of alarmin HMGB1 is a central mediator of senescent phenotypes. J. Cell Biol. 2013;201:613–629. doi: 10.1083/jcb.201206006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lu H., Zhang Z., Barnie P.A., Su Z. Dual faced HMGB1 plays multiple roles in cardiomyocyte senescence and cardiac inflammatory injury. Cytokine Growth Factor Rev. 2019;47:74–82. doi: 10.1016/j.cytogfr.2019.05.009. [DOI] [PubMed] [Google Scholar]
- 32.Freitas-Rodríguez S., Folgueras A.R., López-Otín C. The role of matrix metalloproteinases in aging: Tissue remodeling and beyond. Biochim. Biophys. Acta Mol. Cell Res. 2017;1864:2015–2025. doi: 10.1016/j.bbamcr.2017.05.007. [DOI] [PubMed] [Google Scholar]
- 33.Freund A., Orjalo A.V., Desprez P., Campisi J. Inflammatory networks during cellular senescence: Causes and consequences. Trends Mol. Med. 2010;16:238–246. doi: 10.1016/j.molmed.2010.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zhu X., Chen Z., Shen W., Huang G., Sedivy J.M., Wang H., Ju Z. Inflammation, epigenetics, and metabolism converge to cell senescence and ageing: The regulation and intervention. Signal Transduct. Target. Ther. 2021;6:245. doi: 10.1038/s41392-021-00646-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Byun H., Lee Y., Kim J., Yoon G. From cell senescence to age-related diseases: Differential mechanisms of action of senescence-associated secretory phenotypes. BMB Rep. 2015;48:549–558. doi: 10.5483/BMBRep.2015.48.10.122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Childs B.G., Durik M., Baker D.J., van Deursen J.M. Cellular senescence in aging and age-related disease: From mechanisms to therapy. Nat. Med. 2015;21:1424–1435. doi: 10.1038/nm.4000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Freund A., Laberge R., Demaria M., Campisi J. Lamin B1 loss is a senescence-associated biomarker. Mol. Biol. Cell. 2012;23:2066–2075. doi: 10.1091/mbc.e11-10-0884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Collin G., Huna A., Warnier M., Flaman M., Bernard D. Transcriptional repression of DNA repair genes is a hallmark and a cause of cellular senescence. Cell Death Dis. 2018;9:259. doi: 10.1038/s41419-018-0300-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Rogakou E.P., Pilch D.R., Orr A.H., Ivanova V.S., Bonner W.M. DNA double-stranded breaks induce Histone H2AX phosphorylation on serine 139. J. Biol. Chem. 1998;273:5858–5868. doi: 10.1074/jbc.273.10.5858. [DOI] [PubMed] [Google Scholar]
- 40.Kosar M., Bartkova J., Hubackova S., Hodny Z., Lukas J., Bartek J. Senescence-associated heterochromatin foci are dispensable for cellular senescence, occur in a cell type- and insult-dependent manner, and follow expression of p16ink4a. Cell Cycle. 2011;10:457–468. doi: 10.4161/cc.10.3.14707. [DOI] [PubMed] [Google Scholar]
- 41.Schwarze S.R., Fu V.X., Desotelle J.A., Kenowski M.L., Jarrard D.F. The identification of senescence-specific genes during the induction of senescence in prostate cancer cells. Neoplasia. 2005;7:816–823. doi: 10.1593/neo.05250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Nagano T., Nakano M., Nakashima A., Onishi K., Yamao S., Enari M., Kikkawa U., Kamada S. Identification of cellular senescence-specific genes by comparative transcriptomics. Sci. Rep. 2016;6:31758. doi: 10.1038/srep31758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Luo Y., Zou P., Zou J., Wang J., Zhou D., Liu L. Autophagy regulates ROS-induced cellular senescence via p21 in a p38 MAPKα dependent manner. Exp. Gerontol. 2011;46:860–867. doi: 10.1016/j.exger.2011.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Durani L.W., Khor S.C., Tan J.K., Chua K.H., Yusof Y.A.M., Makpol S. Piper betle L. modulates senescence-associated genes expression in replicative senescent human diploid fibroblasts. Biomed Res. Int. 2017;2017:6894026. doi: 10.1155/2017/6894026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Flores J.M., Martín-Caballero J., García-Fernández R.A. p21 and p27 a shared senescence history. Cell Cycle. 2014;13:1655–1656. doi: 10.4161/cc.29147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Elias R.J., Kellerby S.S., Decker E.A. Antioxidant activity of proteins and peptides. Crit. Rev. Food Sci. Nutr. 2008;48:430–441. doi: 10.1080/10408390701425615. [DOI] [PubMed] [Google Scholar]
- 47.Landis G.N., Tower J. Superoxide dismutase evolution and life span regulation. Mech. Ageing Dev. 2005;126:365–379. doi: 10.1016/j.mad.2004.08.012. [DOI] [PubMed] [Google Scholar]
- 48.Espinoza S.E., Guo H., Fedarko N., DeZern A., Fried L.P., Xue Q., Leng S., Beamer B., Walston J.D. Glutathione peroxidase enzyme activity in aging. J. Gerontol. A Biol. Sci. Med. Sci. 2008;63:505–509. doi: 10.1093/gerona/63.5.505. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Nozik-Grayck E., Suliman H.B., Piantadosi C.A. Extracellular superoxide dismutase. Int. J. Biochem. Cell Biol. 2005;37:2466–2471. doi: 10.1016/j.biocel.2005.06.012. [DOI] [PubMed] [Google Scholar]
- 50.Fridovich I. Superoxide radical and superoxide dismutases. Annu. Rev. Biochem. 1995;64:97–112. doi: 10.1146/annurev.bi.64.070195.000525. [DOI] [PubMed] [Google Scholar]
- 51.Levin E.D. Extracellular superoxide dismutase (EC-SOD) quenches free radicals and attenuates age-related cognitive decline: Opportunities for novel drug development in aging. Curr. Alzheimer Res. 2005;2:191–196. doi: 10.2174/1567205053585710. [DOI] [PubMed] [Google Scholar]
- 52.Yasui K., Baba A. Therapeutic potential of superoxide dismutase (SOD) for resolution of inflammation. Inflamm. Res. 2006;55:359–363. doi: 10.1007/s00011-006-5195-y. [DOI] [PubMed] [Google Scholar]
- 53.Roger L., Tomas F., Gire V. Mechanisms and regulation of cellular senescence. Int. J. Mol. Sci. 2021;22:13173. doi: 10.3390/ijms222313173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Bhatti J.S., Bhatti G.K., Reddy P.H. Mitochondrial dysfunction and oxidative stress in metabolic disorders—A step towards mitochondria based therapeutic strategies. Biochim. Biophys. Acta Mol. Basis Dis. 2017;1863:1066–1077. doi: 10.1016/j.bbadis.2016.11.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Cui H., Kong Y., Zhang H. Oxidative stress, mitochondrial dysfunction, and aging. J. Signal Transduct. 2012;2012:646354. doi: 10.1155/2012/646354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Salminen A., Kauppinen A., Kaarniranta K. Emerging role of NF-κB signaling in the induction of senescence-associated secretory phenotype (SASP) Cell. Signal. 2012;24:835–845. doi: 10.1016/j.cellsig.2011.12.006. [DOI] [PubMed] [Google Scholar]
- 57.Bradford M. Protein reaction with dyes. Anal. Biochem. 1976;72:248–251. doi: 10.1016/0003-2697(76)90527-3. [DOI] [PubMed] [Google Scholar]
- 58.Schägger H., von Jagow G. Tricine-sodium dodecyl sulfate-polyacrylamide gel electrophoresis for the separation of proteins in the range from 1 to 100 kDa. Anal. Biochem. 1987;166:368–379. doi: 10.1016/0003-2697(87)90587-2. [DOI] [PubMed] [Google Scholar]
- 59.UniProt Consortium UniProt: The universal protein knowledgebase in 2021. Nucleic Acids Res. 2021;49:D480–D489. doi: 10.1093/nar/gkaa1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Durinck S., Spellman P.T., Birney E., Huber W. Mapping identifiers for the integration of genomic datasets with the r/bioconductor package biomart. Nat. Protoc. 2009;4:1184–1191. doi: 10.1038/nprot.2009.97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Carlson M. UniProt.ws: R Interface to UniProt Web Services. R Package, Version 2.22.0. R Foundation; Vienna, Austria: 2018. [Google Scholar]
- 62.Alexa A., Rahnenfuhrer J. TopGo: Enrichment Analysis for Gene Ontology. R Package, Version 2.28.0. R Foundation; Vienna, Austria: 2016. [Google Scholar]
- 63.Carlson M. KEGG.db: A Set of Annotation Maps for KEGG. R Package, Version 3.2.3. R Foundation; Vienna, Austria: 2016. [Google Scholar]
- 64.Tenenbaum D. KEGGREST: Client-Side REST Access to KEGG. R Package, Version 1.16.1. R Foundation; Vienna, Austria: 2017. [Google Scholar]
- 65.Conrad S., Azizi H., Hatami M., Kubista M., Bonin M., Hennenlotter J., Sievert K., Skutella T. Expression of genes related to germ cell lineage and pluripotency in single cells and colonies of human adult germ stem cells. Stem Cells Int. 2016;2016:8582526. doi: 10.1155/2016/8582526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Li J., Wang Y., Wang Y., Wen X., Ma X., Chen W., Huang F., Kou J., Qi L., Liu B., et al. Pharmacological activation of AMPK prevents Drp1-mediated mitochondrial fission and alleviates endoplasmic reticulum stress-associated endothelial dysfunction. J. Mol. Cell. Cardiol. 2015;86:62–74. doi: 10.1016/j.yjmcc.2015.07.010. [DOI] [PubMed] [Google Scholar]
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