| Literature DB >> 25955790 |
Kyung Mi Lim1, Sungkwan An1, Ok-Kyu Lee1, Myung Joo Lee1, Jeong Pyo Lee2, Kwang Sik Lee2, Ghang Tai Lee2, Kun Kook Lee2, Seunghee Bae1.
Abstract
Dermal papilla (DP) cells function as important regulators of the hair growth cycle. The loss of these cells is a primary cause of diseases characterized by hair loss, including alopecia, and evidence has revealed significantly increased levels of reactive oxygen species (ROS) in hair tissue and DP cells in the balding population. In the present study, troxerutin, a flavonoid derivative of rutin, was demonstrated to have a protective effect against H2O2-mediated cellular damage in human DP (HDP) cells. Biochemical assays revealed that pretreatment with troxerutin exerted a protective effect against H2O2-induced loss of cell viability and H2O2-induced cell death. Further experiments confirmed that troxerutin inhibited the H2O2-induced production of ROS and upregulation of senescence-associated β-galactosidase activity. Using microRNA (miRNA) microarrays, the present study identified 24 miRNAs, which were differentially expressed in the troxerutin-pretreated, H2O2-treated HDP cells. Subsequent prediction using bioinformatics analysis revealed that the altered miRNAs were functionally involved in several cell signaling pathways, including the mitogen-activated protein kinase and WNT pathways. Overall, these results indicated that ROS-mediated cellular damage was inhibited by troxerutin and suggested that the use of troxerutin may be an effective approach in the treatment of alopecia.Entities:
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Year: 2015 PMID: 25955790 PMCID: PMC4464413 DOI: 10.3892/mmr.2015.3717
Source DB: PubMed Journal: Mol Med Rep ISSN: 1791-2997 Impact factor: 2.952
Figure 1Troxerutin protects HDP cells against the H2O2-mediated reduction in viability. The viability of the (A) HDP cells treated with the indicated doses of troxerutin and in (B) HDP cells pretreated with the indicated doses of troxerutin followed by treatment with H2O2, were assessed. The results are presented as the mean ± standard derivation of three independent experiments. *P<0.05, compared with control H2O2-treated sample. HDP, human dermal papilla.
Figure 2Troxerutin inhibits G2 phase arrest and cell death induced by H2O2 exposure in HDP cells. (A) Flow cytometric analysis was performed to determine the cell cycle distribution of the control HDP cells, HDP cells treated with H2O2 only and HDP cells pretreated with the indicated doses of troxerutin followed by treatment with H2O2. The Sub-G1, G1, S, and G2/M phases were separated using the indicated gates (M1, M2, M3 and M4). (B) Quantification of the percentages of the cell populations in the sub-G1 phase. The results are presented as the mean ± standard deviation of three independent experiments. *P<0.05, compared with the control or H2O2-treated cells for indicated pairs. HDP, human dermal papilla; PI, propidium iodide.
Figure 3Troxerutin downregulates the level of ROS in HDP cells. (A) Flow cytometric analysis of the intracellular ROS levels in the control HDP cells, HDP cells treated with H2O2 only and the HDP cells pretreated with the indicated doses of troxerutin followed by treatment with H2O2. M1 indicates the subpopulation of cells emitting DCF-DA fluorescence signal. (B) Quantification of the percentage of cells in M1. The results are presented as the mean ± standard deviation of three independent experiments. *P<0.05, compared with the control or H2O2-treated sample for indicated pairs. HDP, human dermal papilla; ROS, reactive oxygen species; DMSO, dimethyl sulfoxide; DCF-DA, 2′7′-dichlorofluorescein diacetate.
Figure 4Troxerutin decreases H2O2-induced senescence in HDP cells. (A) Representative micrographs of control dimethyl sulfoxide-treated HDP cells, HDP cells treated with H2O2 only and HDP cells pretreated with the indicated dose of troxerutin followed by treatment with H2O2. The cells were stained for the presence of senescence-associated SA β-galactosidase activity. (B) Quantification of the percentage of senescent (SA β-galactosidase positive) cells. The results are presented as the mean ± standard deviation of three independent experiments. *P<0.05, compared with the control or H2O2-treated cells for indicated pairs. HDP, human dermal papilla.
MicroRNAs with ≥2-fold change in expression in troxerutin pretreated H2O2-treated human dermal papilla cells.
| microRNA | Change relative to control | Direction of regulation | Chromosome |
|---|---|---|---|
| hsa-miR-150-3p | 4.13 | Up | 19 |
| hsa-miR-181a-2-3p | 2.31 | Up | 9 |
| hsa-miR-205-3p | 4.28 | Up | 1 |
| hsa-miR-21-3p | 2.92 | Up | 17 |
| hsa-miR-29b-1-5p | 3.72 | Up | 7 |
| hsa-miR-3127-5p | 2.19 | Up | 2 |
| hsa-miR-371a-5p | 2.30 | Up | 19 |
| hsa-miR-3663-3p | 2.53 | Up | 10 |
| hsa-miR-4298 | 2.01 | Up | 11 |
| hsa-miR-602 | 6.91 | Up | 9 |
| hsa-miR-1181 | −3.14 | Down | 19 |
| hsa-miR-1202 | 2.78 | Down | 6 |
| hsa-miR-1224-5p | −4.66 | Down | 3 |
| hsa-miR-1290 | 2.15 | Down | 1 |
| hsa-miR-135a-3p | 5.61 | Down | 3 |
| hsa-miR-28-5p | 2.95 | Down | 3 |
| hsa-miR-378a-5p | 2.01 | Down | 5 |
| hsa-miR-4271 | −2.16 | Down | 3 |
| hsa-miR-452-5p | −2.51 | Down | X |
| hsa-miR-572 | −4.26 | Down | 4 |
| hsa-miR-575 | −8.01 | Down | 4 |
| hsa-miR-629-3p | 3.12 | Down | 15 |
| hsa-miR-939 | 2.22 | Down | 8 |
| hsa-miR-940 | −2.30 | Down | 16 |
miR, microRNA.
Predicted targets of microRNAs upregulated in response to troxerutin pretreatment in H2O2-exposed human dermal papilla cells.
| microRNA | Aging | Skin development | Apoptosis | Cell proliferation |
|---|---|---|---|---|
| hsa-miR-150-3p | – | – | BCL3, INHBA, ARHGEF2, RHOA, ATG7, MAP3K5, MECOM, PLAGL1 | BCL3, INHBA, MECOM, ARHGEF2, RHOA, NDN, PROX1, BTRC, TGFBI |
| hsa-miR-181a-2-3p | LMNA, SRF | SRF | LMNA, MED1, BDNF, TIAL1, SRPK2, CITED2, AGAP2, PSMD7, MAPK8 | SRF, MED1, BDNF, TIAL1, SRPK2, CITED2, SOX11, FBXW7 |
| hsa-miR-205-3p | TBX3, CDK6, MNT, IL1B, TECP2L1, PNPT1, ATR | APC, DBI | BRCA1, HDAC2, SOS2, SIX4, GRAM, MDM4, CUL5, NBN, MNT, IL1B, TBX3, WNT5A, RAD21, MAP3K5, RASSF6, CREB1, GLO1, API5, SOS1, APC, MSX2, FGF2, SOX2, DUSP1, GSK3B, PSMA5,MITF, HiPK2, HOXA13, PARK7, NAIP, BCLAF1 | MITF, GRAM, MDM4, CUL5, NBN, CDK13, CASK, PURA, MNT, IL1B, TBX3, HDAC2, CDK6, MSX2, FGF2, SOX2, HiPK2, BRCA1, WNT5A, EVI5, TOB1, NUMB |
| hsa-miR-21-3p | CDK6 | – | MAP2K4, MAP3K1, BCL2L11, SMAD3, CUL3, SOX4, BAG4, RNF41, AMIGO2, SLC11A2, KDM28, DAB2IP, FOXO3, CCAR1, ROBO2, TRIM32, DSG1 | CUL3, SOX4, NR6A1, FTO, TRIM32, FOXO3, SMAD3, CDK6, KDM28, DAB2IP, CD274, PBRM1 |
| hsa-miR-29b-1-5p | NR3C1, SIRT1 | – | NR3C1, SIRT1, REST, PTK2, SOS2, NUAK2, PSMD7 | NR3C1, SIRT1, REST, PTK2, FGF18, INSR, PBRM1 |
| hsa-miR-3127 | – | – | – | – |
| hsa-miR-371a-5p | – | LEF1, ATP7A, COL8A1 | LEF1, SOX2, CITED2, STK4, RB1CC1, BARD1, GSK3B, PSMF1, NR4A2, DYRK2, RPS6KA1, ITSN1, MAP3K1 | LEF1, SOX2, CITED2, STK4, COL8A1, RNF10, MAPRE1, BTG3, CCR2, FRS2, PRMT5 |
| hsa-miR-3663-3p | FAS, CASP2, CDKN1A, PTH1R | ADAMTS2, BCL11B, COL3A1, COL1A1 | FAS, CASP2, BCL11B, USP28, TGFB2, DDX5, COMP, PIGT, CDKN1A, TIAL1, PPP2R1B, PSMA2, MEF2D | FAS, TIAL1, TGFB2, USP28, CDKN1A, BCL11B, VSIG |
| hsa-miR-4298 | HMGA1, AMFR | – | MED1, FGF2, TRAF5, CCAR1 | HMGA1, MED1, WT1, FGF2 |
| hsa-miR-602 | EDN1, VDR, SOD2, HTT, SLC34A2, CHEK1 | APC | NOG, ERBB4, PSMD2, PIM1, EDN1, VDR, SOD2, DYRK2, ALDH1A2, CLI2, SEMA3A, HTT, APC, H1F0, PPARG, BCL2L15, JMY, TP53BP2, MYO18A, SHF | NOG, ERBB4, PIM1, PPARG, CLI2, CDC27, CDK13, LIFR, EDN1, VDR, SOD2, STAT3, APC, ALDH1A2, ACSL6, PPP1R8, EMX2, CDK9, RTKN2, ID4, ZEB1 |
miR, microRNA.
Predicted targets of microRNAs downregulated in response to troxerutin pretreatment in H2O2-exposed human dermal papilla cells.
| microRNA | Aging | Skin development | Apoptosis | Cell proliferation |
|---|---|---|---|---|
| hsa-miR-1181 | – | – | – | – |
| hsa-miR-1202 | CLNB, PNPT1, SLC18A2 | – | CLN8, RRN3, PIK3CG, ETS1, DRAM1, DNAJC10, STEAP3, IKBKG, SOS1, NOD1 | RRN3, PIK3CG, ETS1, CDC6, BCAT1, NRP1, ERG, SESN1, FZD6, CD276, GAS8, RPS15A |
| hsa-miR-1224-5p | HMGA2, AQP2, SLC1A2 | APC | HMGA2, AQP2, APC, FGFR1, ADORA1, SATB1, STAT5B | RBBP7, APC, CD160, RC3H1, HMGA2, FGFR1, ADORA1, SATB1, STAT5B, NOLC1 |
| hsa-miR-1290 | HMGA2, NUAK1, TERF2, SLC1A2, FADS1, DDC | APC, COL8A1 | HMGA2, APC, RRN3, ITGAV, CSE1L, NOTCH1, GAS, BMI1, FOXC1, ROBO1, USP28 | HMGA2, BMI1, NUAK1, APC, MLL2, RRN3, ITGAV, CSE1L, NOTCH1, GAS, HES1, NPR3, CDC27, COL8A1, CDKN2B, FOXC1, ROBO1, USP28, FIGF, NRAS |
| hsa-miR-135a-3p | – | TFAP2A | TFAP2A, POU3F3, RRP8, PEG3, DYRK2, | TFAP2A, POU3F3, DERL2, RERG, COL8A1, CEP120 |
| hsa-miR-28-5p | – | – | MST4 CNTFR, STK4, BAG1, SON, NR4A3, PAK2 | CNTFR, STK4, HTR4, FTSJ2, SESN1, TNS3, RAP18, DERL2 |
| hsa-miR-378a-5p | PML | – | DFFA, ITSN1, CTSB, ROBO2, DEPTOR, RAG1, RFFL, IL24, PML, VHL, FRZB, STK4, BAG1, ITGB2 | FZD3, RAC2, CCND2, FER, PML, VHL, FRZB, STK4, NUDC, PDAP1, ITGAL, PELI1, HNF4A, CD33 |
| hsa-miR-4271 | HMGA1, AMFR, SLC6A3 | – | ALDH1A2, SPN, EIF2AK3, FOXO3, WNT7B, MAPK1, CYLD, MAPT, MEF2D, DAPL1, EP300 | COL4A3BP, FOXO4, PDGFB, WNT7B, MAPK1, ALDH1A2, CDK2, SPN, MXD1, FOXO3, TGFBR3, CNOT8, MBD2, CD209, CDON, HOXD13, |
| hsa-miR-452-5p | TIMP3 | – | SPRY2, PAX3, SOX7, LRP6, SNAI2, CSNK2A2, FGD4, PKN2, ITGA6, PDCD6IP | SPRY2, PAX3, SOX7, LRP6, SNAI2, RPA1, EPS8, NFIB, MAPRE1, ODZ1, CDCA7L, CD47, E2F3, PURA, |
| hsa-miR-572 | – | – | HIP1, CASP10, E2F2, MAP3K1 | RUNX1, CDC27, ROS1 |
| hsa-miR-575 | – | – | ZBTB16, HIP1, PDPK1, BRAF, CASP10, E2F2, MAP3K1, DNM1L | ZBTB16, NR3C2, NDEL1, ROS1, BRFOX2, KIF15 |
| hsa-miR-629-3p | SOD2, VDR, EDN1, CHEK1, SLC34A2 | – | THOC1, MYO18A, TP53BP2, APC, PPARG, PIM1, PSMD2, SOD2, VDR, EDN1, ERBB4, PERP, BCL2L15 | DLG3, RTKN2, CDK9, STAT3, EPHB1, ACSL6, LIFR, EREG, APC, PPARG, PIM1, STAT6, PDGFC, ZEB1, NOLC1, ID4, SOD2, VDR, EDN1, ERBB4, CDK13, CDC27 |
| hsa-miR-939 | TIMP1, ATM, CDKN1A, NEK6, SCL34A2, PRELP, SLC1A2 | NGFR, COL1A1 | TNF, BCL6, BTC, NRG1, IHH, TIMP1, ATM, WNK3, CLIP3, NEK6, NGFR, MT3, TRAIP, CDKN1A, NACC1, IP6K2, PAX7, CAMK1D, CASP10, USP7, CSNK2A2, THRA, INHBB, BCL2L2 | BCL6, BTC, NRG1, IHH, GRN, TRAIP, CDKN1A, TNF, E2F8, RXRB, RARA, DRD2, CSF1, TIMP1, ATM, NGFR, MT3, NOS2, AGGF1, ELN |
| hsa-miR-940 | – | – | – | – |
miR, microRNA.
Functional annotation chart for miRNAs upregulated in response to troxerutin pretreatment in H2O2-exposed human dermal papilla cells.
| microRNA | Putative target genes (n) | KEGG pathway | Genes involved in the term (n) | Involved genes/total genes (%) | P-value |
|---|---|---|---|---|---|
| miR-150-3p | 184 | Wnt signaling pathway | 5 | 2.7 | 6.00E-02 |
| Neurotrophin signaling pathway | 4 | 2.2 | 1.20E-01 | ||
| Ubiquitin mediated proteolysis | 4 | 2.2 | 1.50E-01 | ||
| Adherens junction | 3 | 1.6 | 1.70E-01 | ||
| miR-181a-2-3p | 189 | Endocytosis | 6 | 3.2 | 2.90E-02 |
| Chemokine signaling pathway | 6 | 3.2 | 3.00E-02 | ||
| Ubiquitin mediated proteolysis | 5 | 2.6 | 3.90E-02 | ||
| Pancreatic cancer | 4 | 2.1 | 3.00E-02 | ||
| Adherens junction | 4 | 2.1 | 3.50E-02 | ||
| Nucleotide excision repair | 3 | 1.6 | 6.40E-02 | ||
| miR-205-3p | 944 | Pathways in cancer | 19 | 2.0 | 2.50E-01 |
| MAPK signaling pathway | 17 | 1.8 | 1.70E-01 | ||
| Wnt signaling pathway | 15 | 1.6 | 9.20E-03 | ||
| miR-21-3p | 210 | Cell adhesion molecules | 7 | 3.3 | 4.70E-03 |
| Ubiquitin mediated proteolysis | 6 | 2.9 | 2.30E-02 | ||
| Long-term potentiation | 5 | 2.4 | 8.60E-03 | ||
| Oocyte meiosis | 5 | 2.4 | 4.20E-02 | ||
| miR-29b-1-5p | 265 | Insulin signaling pathway | 5 | 1.9 | 8.50E-02 |
| Cell cycle | 4 | 1.5 | 2.00E-01 | ||
| Wnt signaling pathway | 4 | 1.5 | 2.90E-01 | ||
| Jak-STAT signaling pathway | 4 | 1.5 | 3.00E-01 | ||
| mir-3127-5p | 205 | – | – | – | – |
| miR-371a-5p | 351 | Spliceosome | 8 | 2.3 | 4.20E-03 |
| Wnt signaling pathway | 7 | 2.0 | 3.60E-02 | ||
| mir-3663-3p | 305 | MAPK signaling pathway | 12 | 3.9 | 5.90E-03 |
| Pathways in cancer | 11 | 3.6 | 5.50E-02 | ||
| Neurotrophin signaling pathway | 7 | 2.3 | 2.00E-02 | ||
| Pancreatic cancer | 5 | 1.6 | 3.50E-02 | ||
| Chronic myeloid leukemia | 5 | 1.6 | 4.00E-02 | ||
| mir-4298 | 185 | Oocyte meiosis | 5 | 2.7 | 8.70E-03 |
| Neuroactive ligand receptor interaction | 5 | 2.7 | 1.20E-01 | ||
| Calcium signaling pathway | 4 | 2.2 | 1.40E-01 | ||
| Phosphatidylinositol signaling system | 3 | 1.6 | 1.10E-01 | ||
| miR-602 | 302 | MAPK signaling pathway | 7 | 2.3 | 2.20E-01 |
| Insulin signaling pathway | 6 | 2.0 | 5.30E-02 | ||
| Alzheimer’s disease | 6 | 2.0 | 1.00E-01 | ||
| Calcium signaling pathway | 6 | 2.0 | 1.30E-01 |
miR, microRNA; MAPK, mitogen activated protein kinase; JAK, Janus kinase; STAT, signal transducers and activators of transcription.
Functional annotation chart for miRNAs downregulated in response to troxerutin in H2O2-exposed HDP cells.
| microRNA | Putative target genes (n) | KEGG pathway | Genes involved in the term (n) | Involved genes/total genes (%) | P-value |
|---|---|---|---|---|---|
| miR-1181 | 2 | – | – | – | – |
| miR-1202 | 241 | Pathways in cancer | 8 | 3.3 | 1.50E-01 |
| Insulin signaling pathway | 5 | 2.1 | 1.10E-01 | ||
| Phosphatidylinositol signaling system | 4 | 1.7 | 7.60E-02 | ||
| ABC transporters | 3 | 1.2 | 1.20E-01 | ||
| mTOR signaling pathway | 3 | 1.2 | 1.50E-01 | ||
| Inositol phosphate metabolism | 3 | 1.2 | 1.60E-01 | ||
| miR-1224-5p | 213 | Axon guidance | 4 | 1.9 | 1.00E-01 |
| miR-1290 | 593 | Pathways in cancer | 17 | 2.9 | 4.00E-02 |
| Insulin signaling pathway | 13 | 2.2 | 7.60E-04 | ||
| Regulation of actin cytoskeleton | 12 | 2.0 | 6.30E-02 | ||
| MAPK signaling pathway | 12 | 2.0 | 1.90E-01 | ||
| ErbB signaling pathway | 11 | 1.9 | 2.80E-04 | ||
| miR-135a-3p | 140 | – | – | – | – |
| miR-28-5p | 157 | MAPK signaling pathway | 7 | 4.5 | 1.20E-02 |
| Axon guidance | 4 | 2.5 | 6.60E-02 | ||
| miR-378a-5p | 366 | Wnt signaling pathway | 7 | 1.9 | 3.60E-02 |
| TGF-β signaling pathway | 4 | 1.1 | 1.70E-01 | ||
| miR-4271 | 361 | Jak-STAT signaling pathway | 7 | 1.9 | 7.80E-02 |
| Lysine degradation | 4 | 1.1 | 5.20E-02 | ||
| miR-452-5p | 327 | Oocyte meiosis | 8 | 2.3 | 1.30E-03 |
| Wnt signaling pathway | 7 | 2.0 | 2.60E-02 | ||
| ECM-receptor interaction | 5 | 1.4 | 3.80E-02 | ||
| Small cell lung cancer | 5 | 1.4 | 3.80E-02 | ||
| miR-572 | 6 | – | – | – | – |
| miR-575 | 241 | MAPK signaling pathway | 8 | 3.3 | 7.70E-02 |
| Prostate cancer | 6 | 2.5 | 7.70E-03 | ||
| Melanoma | 5 | 2.1 | 1.70E-02 | ||
| Cell cycle | 5 | 2.1 | 9.60E-02 | ||
| Aldosterone-regulated sodium reabsorption | 4 | 1.7 | 1.90E-02 | ||
| mTOR signaling pathway | 4 | 1.7 | 3.50E-02 | ||
| Androgen and estrogen metabolism | 3 | 1.2 | 9.40E-02 | ||
| miR-629-3p | 441 | PPAR signaling pathway | 6 | 1.4 | 1.20E-02 |
| miR-939 | 365 | Calcium signaling pathway | 10 | 2.4 | 1.30E-02 |
| Regulation of actin cytoskeleton | 9 | 2.1 | 8.90E-02 | ||
| ErbB signaling pathway | 5 | 1.2 | 1.20E-01 | ||
| p53 signaling pathway | 4 | 0.9 | 1.80E-01 | ||
| Wnt signaling pathway | 6 | 1.4 | 2.20E-01 | ||
| miR-940 | – | – | – | – | – |
miR, microRNA; mTOR, mammalian targets of rapamycin; MAPK, mitogen-activated protein kinase; ECM, extracellular matrix; Jak, Janus kinase; STAT, signal transducers and activators of transcription; TGF, transforming growth factor; PPAR, peroxisome proliferator-activated-receptor.