Molecular basis of senescence transmitting in the population of human endometrial stromal cells

Anastasiia Griukova, Pavel Deryabin, Alla Shatrova, Elena Burova, Valeria Severino, Annarita Farina, Nikolay Nikolsky, Aleksandra Borodkina, Anastasiia Griukova, Pavel Deryabin, Alla Shatrova, Elena Burova, Valeria Severino, Annarita Farina, Nikolay Nikolsky, Aleksandra Borodkina

Abstract

Hormone-regulated proliferation and differentiation of endometrial stromal cells (ESCs) determine overall endometrial plasticity and receptivity to embryos. Previously we revealed that ESCs may undergo premature senescence, accompanied by proliferation loss and various intracellular alterations. Here we focused on whether and how senescence may be transmitted within the ESCs population. We revealed that senescent ESCs may induce paracrine senescence in young counterparts via cell contacts, secreted factors and extracellular vesicles. According to secretome-wide profiling we identified plasminogen activator inhibitor -1 (PAI-1) to be the most prominent protein secreted by senescent ESCs (data are available via ProteomeXchange with identifier PXD015742). By applying CRISPR/Cas9 techniques we disclosed that PAI-1 secreted by senescent ESCs may serve as the master-regulator of paracrine senescence progression within the ESCs population. Unraveled molecular basis of senescence transduction in the ESCs population may be further considered in terms of altered endometrial plasticity and sensitivity to invading embryo, thus contributing to the female infertility curing.

Keywords: PAI-1; SASP; endometrial stromal cells; senescence.

Conflict of interest statement

CONFLICTS OF INTEREST: The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
2D co-culturing with senescent ESCs negatively affects surrounding cells. (A) Experimental scheme of co-culturing of young mCherry-labeled ESCs with unlabeled young or senescent ones in 2D condition. (B and C) Growth curves of mCherry-labeled ESCs (co-cultured either with young or senescent cells) before and after reseeding, respectively. Cell number was determined by FACS at the indicated time points. (D) and (E) Cell size and autofluorescence of mCherry-labeled ESCs measured by FACS after 10 d of co-culturing. Forward scatter (FS) reflects the average cell size. Values are M ± S.D. (N=3). * – p<0.05, ** – p<0.01, *** – p<0.005 by Student’s t-test.
Figure 2
Figure 2
3D co-culturing with senescent ESCs negatively affects surrounding cells. (A) Experimental scheme of co-culturing of young mCherry-labeled ESCs with unlabeled young or senescent ones in 3D condition. (B) Representative photographs of spheroids formed from a mixture of unlabeled and mCherry-labeled ESCs. Scale bars of all images are 500 μm. (CE) Growth curves, cell size and autofluorescence of mCherry-labeled ESCs, respectively. Cells were cultured in spheroids during 4 d, trypsinized and cultured for additional 5 d up to analysis by FACS. Forward scatter (FS) reflects the average cell size. Values are M ± S.D. (N=3 for (C) and (D), N=2 for (E)). ** – p<0.01, *** – p<0.005 by Student’s t-test.
Figure 3
Figure 3
SASP from senescent ESCs triggers senescence in young cells. Ctr – young ESCs cultured in standard conditions. CM-sen treated – ESCs exposed to condition medium from senescent cells. Sen – senescent ESCs. (A) Experimental scheme of ESCs CM-sen treatment. (B) and (C) Growth curves of ESCs before and after reseeding, respectively. Cell number was determined by FACS at the indicated time points. (DF) Cell size, autofluorescence and intracellular ROS levels of ESCs determined by FACS after 9 d of CM-sen treatment. Forward scatter (FS) reflects the average cell size, DCF fluorescence reflects ROS levels by oxidation of H2DCF-DA. Values are M ± S.D. (N=3). * – p<0.05, ** – p<0.01, *** – p<0.005 by Student’s t-test. (G) SA-β-Gal staining of Ctr and CM-sen treated ESCs. After 7 d of treatment ESCs were reseeded and additionally cultured for 3 d in order to perform staining of non-confluent cultures. (H) Quantification of SA-β-Gal activity values (G). Values presented as M and 95 % C.I. (N=100). *** – p<0.005 by Mann-Whitney test. (I) Wound healing analysis of ESCs cultured in standard conditions or pre-exposed to CM-sen for 4 d. Cells’ monolayers were scratched and migration activity of cells were estimated at the indicated time points. Scale bars of all images are 500 μm. (J) Western blot analysis of ATM, H2A.X and p53 phosphorylation levels and p21 protein expression performed after 7 d of treatment. Representative results of the three experiments are shown in the Figure. GAPDH was used as loading control.
Figure 4
Figure 4
Soluble factors and extracellular vesicles secreted by senescent ESCs trigger senescence in young cells. Sen – senescent ESCs. Ctr – young ESCs cultured in standard conditions. SF-sen or EV-sen treated – young ESCs exposed to soluble factors and extracellular vesicles secreted by senescent ESCs, respectively. (A) Western blot analysis of CD63 and HSP70 total proteins amount in Sen and EV-sen lysates. (B) and (C) Growth curves and cell size of Ctr, SF-sen and EV-sen treated ESCs determined by FACS. Forward scatter (FS) reflects the average cell size evaluated after 6 d of exposure. Values are M ± S.D. (N=3). *** – p<0.005 by ANOVA with Tukey HSD versus Ctr. (D) Western blot analysis of p53 and Rb phosphorylation levels and p21 protein expression performed after 7 d of treatment. Representative results of the three experiments are shown in the Figure. GAPDH was used as loading control. (E) SA-β-Gal staining of Ctr, SF-sen and EV-sen treated ESCs. After 7 d of treatment ESCs were reseeded and additionally cultured for 3 d in order to perform staining of non-confluent cultures. (H) Quantification of SA-β-Gal activity values (E). Values presented as M and 95 % CI (N=100). *** – p<0.005 by ANOVA with Tukey HSD versus Ctr.
Figure 5
Figure 5
Proteomic analysis of ESCs secretome. CM-ctr and CM-sen – conditioned media from young or senescent ESCs, respectively. (A) Venn diagram presentation of all peptides identified within CMs by LC-MS/MS. (B) Volcano plot of proteins differentially secreted by Ctr and Sen ESCs. (C) and (D) Functional enrichment analysis in GO BP terms of up- and down-regulated proteins in CM-sen versus CM-ctr. Identified processes are organized in modules based on common parent GO terms presented in legends. To control the false discovery rate (FDR) to correct the p-value the Benjamini method was applied. Black line indicates threshold at p=0.05. (E) and (F) Levels of top up- and down-regulated proteins in CM-sen versus CM-ctr, respectively. Processes involving PAI-1 are marked with asterisk (*).
Figure 6
Figure 6
Altered PAI-1 secretion levels modulate SASP-induced senescence propagation within ESCs population. Ctr – young ESCs cultured in standard conditions. Sen – senescent ESCs. CM-ctr and CM-sen – conditioned media from young or senescent ESCs, respectively. SF-sen or EV-sen treated – young ESCs exposed to soluble factors and extracellular vesicles secreted by senescent ESCs, respectively. LV, KO and SAM – gene-modified ESCs with unaffected, down-regulated and overexpressed SERPINE1 gene. CM-sen LV, KO, SAM treated – young ESCs exposed to conditioned media from senescent gene-modified cells. (A, B) Western blot analysis and ELISA of PAI-1 composition in CM-ctr and CM-sen. For western blot CMs were collected from equal numbers of cells and in equal volumes of media. ELISA values presented as M ± S.D. (N=4). *** – p<0.005 by Student’s t-test. (C, D) Western blot of PAI-1 content in SF-sen and EV-sen obtained as described in Experimental procedures section. CD63 was used as EV marker protein. For western blot CMs and SF were collected from equal numbers of cells and in equal volumes of media. (E, F) PAI-1 expression levels in LV, KO and SAM estimated by RT-PCR and western blot, respectively. Values are M ± S.D. (N=3). *** – p<0.005 by ANOVA with Tukey HSD versus Ctr. (G) PAI-1 levels in LV, KO, SAM CM-sen by ELISA. Values are M ± S.D. (N=2). ** – p<0.01 by ANOVA with Tukey HSD versus Ctr. (HJ) Growth curves, cell size and autofluorescence of Ctr ESCs or LV, KO, SAM CM-sen treated ESCs by FACS. Cell size and autofluorescence after 6 d of treatment. Forward scatter (FS) reflects the average cell size. Values are M ± S.D. (N=3). * – p<0.05, ** – p<0.01, *** – p<0.005 by ANOVA with Tukey HSD versus Ctr of the same time point. (K) Western blot analysis of p53 and Rb phosphorylation levels and p21 protein expression performed after 6 d of treatment. Representative results of the three experiments are shown in the Figure. GAPDH was used as loading control.

References

    1. Borodkina AV, Deryabin PI, Giukova AA, Nikolsky NN. “Social Life” of Senescent Cells: What Is SASP and Why Study It? Acta Naturae. 2018; 10:4–14. 10.32607/20758251-2018-10-1-4-14
    1. Ogrodnik M, Salmonowicz H, Gladyshev VN. Integrating cellular senescence with the concept of damage accumulation in aging: relevance for clearance of senescent cells. Aging Cell. 2019; 18:e12841. 10.1111/acel.12841
    1. Coppé JP, Patil CK, Rodier F, Sun Y, Muñoz DP, Goldstein J, Nelson PS, Desprez PY, Campisi J. Senescence-associated secretory phenotypes reveal cell-nonautonomous functions of oncogenic RAS and the p53 tumor suppressor. PLoS Biol. 2008; 6:2853–68. 10.1371/journal.pbio.0060301
    1. Coppé JP, Desprez PY, Krtolica A, Campisi J. The senescence-associated secretory phenotype: the dark side of tumor suppression. Annu Rev Pathol. 2010; 5:99–118. 10.1146/annurev-pathol-121808-102144
    1. Nelson G, Wordsworth J, Wang C, Jurk D, Lawless C, Martin-Ruiz C, von Zglinicki T. A senescent cell bystander effect: senescence-induced senescence. Aging Cell. 2012; 11:345–49. 10.1111/j.1474-9726.2012.00795.x
    1. Urbanelli L, Buratta S, Sagini K, Tancini B, Emiliani C. Extracellular Vesicles as New Players in Cellular Senescence. Int J Mol Sci. 2016; 17:1408. 10.3390/ijms17091408
    1. Kadota T, Fujita Y, Yoshioka Y, Araya J, Kuwano K, Ochiya T. Emerging role of extracellular vesicles as a senescence-associated secretory phenotype: insights into the pathophysiology of lung diseases. Mol Aspects Med. 2018; 60:92–103. 10.1016/j.mam.2017.11.005
    1. Nelson G, Kucheryavenko O, Wordsworth J, von Zglinicki T. The senescent bystander effect is caused by ROS-activated NF-κB signalling. Mech Ageing Dev. 2018; 170:30–36. 10.1016/j.mad.2017.08.005
    1. Byun HO, Lee YK, Kim JM, Yoon G. From cell senescence to age-related diseases: differential mechanisms of action of senescence-associated secretory phenotypes. BMB Rep. 2015; 48:549–58. 10.5483/BMBRep.2015.48.10.122
    1. Coppé JP, Kauser K, Campisi J, Beauséjour CM. Secretion of vascular endothelial growth factor by primary human fibroblasts at senescence. J Biol Chem. 2006; 281:29568–74. 10.1074/jbc.M603307200
    1. Demaria M, Ohtani N, Youssef SA, Rodier F, Toussaint W, Mitchell JR, Laberge RM, Vijg J, Van Steeg H, Dollé ME, Hoeijmakers JH, de Bruin A, Hara E, Campisi J. An essential role for senescent cells in optimal wound healing through secretion of PDGF-AA. Dev Cell. 2014; 31:722–33. 10.1016/j.devcel.2014.11.012
    1. van Deursen JM. The role of senescent cells in ageing. Nature. 2014; 509:439–46. 10.1038/nature13193
    1. Ghosh K, Capell BC. The Senescence-Associated Secretory Phenotype: Critical Effector in Skin Cancer and Aging. J Invest Dermatol. 2016; 136:2133–39. 10.1016/j.jid.2016.06.621
    1. Schosserer M, Grillari J, Breitenbach M. The dual role of cellular senescence in developing tumors and their response to cancer therapy. Front Oncol. 2017; 7:278. 10.3389/fonc.2017.00278
    1. Acosta JC, Banito A, Wuestefeld T, Georgilis A, Janich P, Morton JP, Athineos D, Kang TW, Lasitschka F, Andrulis M, Pascual G, Morris KJ, Khan S, et al.. A complex secretory program orchestrated by the inflammasome controls paracrine senescence. Nat Cell Biol. 2013; 15:978–90. 10.1038/ncb2784
    1. Maruyama T, Yoshimura Y. Molecular and cellular mechanisms for differentiation and regeneration of the uterine endometrium. Endocr J. 2008; 55:795–810. 10.1507/endocrj.K08E-067
    1. Gellersen B, Brosens JJ. Cyclic decidualization of the human endometrium in reproductive health and failure. Endocr Rev. 2014; 35:851–905. 10.1210/er.2014-1045
    1. Burova E, Borodkina A, Shatrova A, Nikolsky N. Sublethal oxidative stress induces the premature senescence of human mesenchymal stem cells derived from endometrium. Oxid Med Cell Longev. 2013; 2013:474931. 10.1155/2013/474931
    1. Alekseenko LL, Zemelko VI, Domnina AP, Lyublinskaya OG, Zenin VV, Pugovkina NA, Kozhukharova IV, Borodkina AV, Grinchuk TM, Fridlyanskaya II, Nikolsky NN. Sublethal heat shock induces premature senescence rather than apoptosis in human mesenchymal stem cells. Cell Stress Chaperones. 2014; 19:355–66. 10.1007/s12192-013-0463-6
    1. Griukova A, Deryabin P, Sirotkina M, Shatrova A, Nikolsky N, Borodkina A. P38 MAPK inhibition prevents polybrene-induced senescence of human mesenchymal stem cells during viral transduction. PLoS One. 2018; 13:e0209606. 10.1371/journal.pone.0209606
    1. Borodkina AV, Shatrova AN, Deryabin PI, Griukova AA, Abushik PA, Antonov SM, Nikolsky NN, Burova EB. Calcium alterations signal either to senescence or to autophagy induction in stem cells upon oxidative stress. Aging (Albany NY). 2016; 8:3400–18. 10.18632/aging.101130
    1. Borodkina A, Shatrova A, Abushik P, Nikolsky N, Burova E. Interaction between ROS dependent DNA damage, mitochondria and p38 MAPK underlies senescence of human adult stem cells. Aging (Albany NY). 2014; 6:481–95. 10.18632/aging.100673
    1. Sitte N, Merker K, Grune T, von Zglinicki T. Lipofuscin accumulation in proliferating fibroblasts in vitro: an indicator of oxidative stress. Exp Gerontol. 2001; 36:475–86. 10.1016/S0531-5565(00)00253-9
    1. Jiang H, Schiffer E, Song Z, Wang J, Zürbig P, Thedieck K, Moes S, Bantel H, Saal N, Jantos J, Brecht M, Jenö P, Hall MN, et al.. Proteins induced by telomere dysfunction and DNA damage represent biomarkers of human aging and disease. Proc Natl Acad Sci USA. 2008; 105:11299–304. 10.1073/pnas.0801457105
    1. Deryabin P, Griukova A, Shatrova A, Petukhov A, Nikolsky N, Borodkina A. Optimization of lentiviral transduction parameters and its application for CRISPR-based secretome modification of human endometrial mesenchymal stem cells. Cell Cycle. 2019; 18:742–58. 10.1080/15384101.2019.1593650
    1. Salker MS, Nautiyal J, Steel JH, Webster Z, Sućurović S, Nicou M, Singh Y, Lucas ES, Murakami K, Chan YW, James S, Abdallah Y, Christian M, et al.. Disordered IL-33/ST2 activation in decidualizing stromal cells prolongs uterine receptivity in women with recurrent pregnancy loss. PLoS One. 2012; 7:e52252. 10.1371/journal.pone.0052252
    1. Lucas ES, Dyer NP, Murakami K, Lee YH, Chan YW, Grimaldi G, Muter J, Brighton PJ, Moore JD, Patel G, Chan JK, Takeda S, Lam EW, et al.. Loss of Endometrial Plasticity in Recurrent Pregnancy Loss. Stem Cells. 2016; 34:346–56. 10.1002/stem.2222
    1. Brighton PJ, Maruyama Y, Fishwick K, Vrljicak P, Tewary S, Fujihara R, Muter J, Lucas ES, Yamada T, Woods L, Lucciola R, Hou Lee Y, Takeda S, et al.. Clearance of senescent decidual cells by uterine natural killer cells in cycling human endometrium. eLife. 2017; 6:e31274. 10.7554/eLife.31274
    1. Peter Durairaj RR, Aberkane A, Polanski L, Maruyama Y, Baumgarten M, Lucas ES, Quenby S, Chan JK, Raine-Fenning N, Brosens JJ, Van de Velde H, Lee YH. Deregulation of the endometrial stromal cell secretome precedes embryo implantation failure. Mol Hum Reprod. 2017; 23:478–87. 10.1093/molehr/gax023
    1. Elzi DJ, Lai Y, Song M, Hakala K, Weintraub ST, Shiio Y. Plasminogen activator inhibitor 1—insulin-like growth factor binding protein 3 cascade regulates stress-induced senescence. Proc Natl Acad Sci USA. 2012; 109:12052–57. 10.1073/pnas.1120437109
    1. Severino V, Alessio N, Farina A, Sandomenico A, Cipollaro M, Peluso G, Galderisi U, Chambery A. Insulin-like growth factor binding proteins 4 and 7 released by senescent cells promote premature senescence in mesenchymal stem cells. Cell Death Dis. 2013; 4:e911. 10.1038/cddis.2013.445
    1. Jeon OH, Wilson DR, Clement CC, Rathod S, Cherry C, Powell B, Lee Z, Khalil AM, Green JJ, Campisi J, Santambrogio L, Witwer KW, Elisseeff JH. Senescence cell-associated extracellular vesicles serve as osteoarthritis disease and therapeutic markers. JCI Insight. 2019; 4. 10.1172/jci.insight.125019
    1. Takasugi M. Emerging roles of extracellular vesicles in cellular senescence and aging. Aging Cell. 2018; 17:e12734. 10.1111/acel.12734
    1. Abbas M, Jesel L, Auger C, Amoura L, Messas N, Manin G, Rumig C, León-González AJ, Ribeiro TP, Silva GC, Abou-Merhi R, Hamade E, Hecker M, et al.. Endothelial Microparticles From Acute Coronary Syndrome Patients Induce Premature Coronary Artery Endothelial Cell Aging and Thrombogenicity: Role of the Ang II/AT1 Receptor/NADPH Oxidase-Mediated Activation of MAPKs and PI3-Kinase Pathways. Circulation. 2017; 135:280–96. 10.1161/CIRCULATIONAHA.116.017513
    1. Davis C, Dukes A, Drewry M, Helwa I, Johnson MH, Isales CM, Hill WD, Liu Y, Shi X, Fulzele S, Hamrick MW. MicroRNA-183-5p Increases with Age in Bone-Derived Extracellular Vesicles, Suppresses Bone Marrow Stromal (Stem) Cell Proliferation, and Induces Stem Cell Senescence. Tissue Eng Part A. 2017; 23:1231–40. 10.1089/ten.tea.2016.0525
    1. Takasugi M, Okada R, Takahashi A, Virya Chen D, Watanabe S, Hara E. Small extracellular vesicles secreted from senescent cells promote cancer cell proliferation through EphA2. Nat Commun. 2017; 8:15729. 10.1038/ncomms15728
    1. Kaloglu C, Onarlioglu B. Extracellular matrix remodelling in rat endometrium during early pregnancy: the role of fibronectin and laminin. Tissue Cell. 2010; 42:301–06. 10.1016/j.tice.2010.07.004
    1. Kortlever RM, Higgins PJ, Bernards R. Plasminogen activator inhibitor-1 is a critical downstream target of p53 in the induction of replicative senescence. Nat Cell Biol. 2006; 8:877–84. 10.1038/ncb1448
    1. Özcan S, Alessio N, Acar MB, Mert E, Omerli F, Peluso G, Galderisi U. Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses. Aging (Albany NY). 2016; 8:1316–29. 10.18632/aging.100971
    1. Vaughan DE, Rai R, Khan SS, Eren M, Ghosh AK. Plasminogen Activator Inhibitor-1 Is a Marker and a Mediator of Senescence. Arterioscler Thromb Vasc Biol. 2017; 37:1446–52. 10.1161/ATVBAHA.117.309451
    1. Chung EJ, McKay-Corkum G, Chung S, White A, Scroggins BT, Mitchell JB, Mulligan-Kehoe MJ, Citrin D. Truncated Plasminogen Activator Inhibitor-1 Protein Protects From Pulmonary Fibrosis Mediated by Irradiation in a Murine Model. Int J Radiat Oncol Biol Phys. 2016; 94:1163–72. 10.1016/j.ijrobp.2015.11.044
    1. Salazar Garcia MD, Sung N, Mullenix TM, Dambaeva S, Beaman K, Gilman-Sachs A, Kwak-Kim J. Plasminogen Activator Inhibitor-1 4G/5G Polymorphism is Associated with Reproductive Failure: Metabolic, Hormonal, and Immune Profiles. Am J Reprod Immunol. 2016; 76:70–81. 10.1111/aji.12516
    1. Lala PK, Chakraborty C. Factors regulating trophoblast migration and invasiveness: possible derangements contributing to pre-eclampsia and fetal injury. Placenta. 2003; 24:575–87. 10.1016/S0143-4004(03)00063-8
    1. Naruse K, Lash GE, Bulmer JN, Innes BA, Otun HA, Searle RF, Robson SC. The urokinase plasminogen activator (uPA) system in uterine natural killer cells in the placental bed during early pregnancy. Placenta. 2009; 30:398–404. 10.1016/j.placenta.2009.02.002
    1. Kydonopoulou K, Delkos D, Rousso D, Ilonidis G, Mandala E. Association of plasminogen activator inhibitor-type 1 (PAI-1) -675 4G/5G polymorphism with unexplained female infertility. Hippokratia. 2017; 21:180–85.
    1. Ye Y, Vattai A, Zhang X, Zhu J, Thaler CJ, Mahner S, Jeschke U, von Schönfeldt V. Role of Plasminogen Activator Inhibitor Type 1 in Pathologies of Female Reproductive Diseases. Int J Mol Sci. 2017; 18:1651. 10.3390/ijms18081651
    1. Zemel'ko VI, Grinchuk TM, Domnina AP, Artsybasheva IV, Zenin VV, Kirsanov AA, Bichevaia NK, Korsak VS, Nikol'skiĭ NN. [Multipotent mesenchymal stem cells of desquamated endometrium: isolation, characterization and use as feeder layer for maintenance of human embryonic stem cell lines]. Tsitologiia. 2011; 53:919–29. 10.1134/s1990519x12010129
    1. Domnina A, Novikova P, Obidina J, Fridlyanskaya I, Alekseenko L, Kozhukharova I, Lyublinskaya O, Zenin V, Nikolsky N. Human mesenchymal stem cells in spheroids improve fertility in model animals with damaged endometrium. Stem Cell Res Ther. 2018; 9:50. 10.1186/s13287-018-0801-9
    1. Scherl A, Tsai YS, Shaffer SA, Goodlett DR. Increasing information from shotgun proteomic data by accounting for misassigned precursor ion masses. Proteomics. 2008; 8:2791–97. 10.1002/pmic.200800045
    1. Keller A, Nesvizhskii AI, Kolker E, Aebersold R. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. Anal Chem. 2002; 74:5383–92. 10.1021/ac025747h
    1. Nesvizhskii AI, Keller A, Kolker E, Aebersold R. A statistical model for identifying proteins by tandem mass spectrometry. Anal Chem. 2003; 75:4646–58. 10.1021/ac0341261
    1. Perez-Riverol Y, Csordas A, Bai J, Bernal-Llinares M, Hewapathirana S, Kundu DJ, Inuganti A, Griss J, Mayer G, Eisenacher M, Pérez E, Uszkoreit J, Pfeuffer J, et al.. The PRIDE database and related tools and resources in 2019: improving support for quantification data. Nucleic Acids Res. 2019; 47:D442–50. 10.1093/nar/gky1106
    1. Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS. 2012; 16:284–87. 10.1089/omi.2011.0118
    1. Team R. R: A language and environment for statistical computing. 2013.

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