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Zhang H, Wang J, Xie F, Liu Y, Qiu M, Han Z, Ding Y, Zheng X, Yin Z, Zhang X. Identification of microRNAs implicated in modulating resveratrol-induced apoptosis in porcine granulosa cells. Front Cell Dev Biol 2023; 11:1169745. [PMID: 37250898 PMCID: PMC10211428 DOI: 10.3389/fcell.2023.1169745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 04/27/2023] [Indexed: 05/31/2023] Open
Abstract
MicroRNAs (miRNAs) are small, noncoding RNAs that play a crucial role in the complex and dynamic network that regulates the apoptosis of porcine ovarian granulosa cells (POGCs). Resveratrol (RSV) is a nonflavonoid polyphenol compound that is involved in follicular development and ovulation. In previous study, we established a model of RSV treatment of POGCs, confirming the regulatory effect of RSV in POGCs. To investigate the miRNA-level effects of RSV on POGCs to reveal differentially expressed miRNAs, a control group (n = 3, 0 μM RSV group), a low RSV group (n = 3, 50 μM RSV group), and a high RSV group (n = 3, 100 μM RSV group) were created for small RNA-seq. In total, 113 differentially expressed miRNAs (DE-miRNAs) were identified, and a RT-qPCR analysis showed a correlation with the sequencing data. Functional annotation analysis revealed that DE-miRNAs in the LOW vs. CON group may be involved in cell development, proliferation, and apoptosis. In the HIGH vs. CON group, RSV functions were associated with metabolic processes and responses to stimuli, while the pathways were related to PI3K24, Akt, Wnt, and apoptosis. In addition, we constructed miRNA-mRNA networks related to Apoptosis and Metabolism. Then, ssc-miR-34a and ssc-miR-143-5p were selected as key miRNAs. In conclusion, this study provided an improved understanding of effects of RSV on POGCs apoptosis through the miRNA modulations. The results suggest that RSV may promote POGCs apoptosis by stimulating the miRNA expressions and provided a better understanding of the role of miRNAs combined with RSV in ovarian granulosa cell development in pigs.
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Affiliation(s)
- Huibin Zhang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
| | - Jinglin Wang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
| | - Fan Xie
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
| | - Yangguang Liu
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
| | - Mengyao Qiu
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
| | - Zheng Han
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
| | - Yueyun Ding
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
| | - Xianrui Zheng
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
| | - Zongjun Yin
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
| | - Xiaodong Zhang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Anhui Province Key Laboratory of Local Livestock and Poultry, Genetical Resource Conservation and Breeding, Hefei, China
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Lefever DE, Miedel MT, Pei F, DiStefano JK, Debiasio R, Shun TY, Saydmohammed M, Chikina M, Vernetti LA, Soto-Gutierrez A, Monga SP, Bataller R, Behari J, Yechoor VK, Bahar I, Gough A, Stern AM, Taylor DL. A Quantitative Systems Pharmacology Platform Reveals NAFLD Pathophysiological States and Targeting Strategies. Metabolites 2022; 12:528. [PMID: 35736460 PMCID: PMC9227696 DOI: 10.3390/metabo12060528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 05/28/2022] [Accepted: 06/03/2022] [Indexed: 11/17/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has a high global prevalence with a heterogeneous and complex pathophysiology that presents barriers to traditional targeted therapeutic approaches. We describe an integrated quantitative systems pharmacology (QSP) platform that comprehensively and unbiasedly defines disease states, in contrast to just individual genes or pathways, that promote NAFLD progression. The QSP platform can be used to predict drugs that normalize these disease states and experimentally test predictions in a human liver acinus microphysiology system (LAMPS) that recapitulates key aspects of NAFLD. Analysis of a 182 patient-derived hepatic RNA-sequencing dataset generated 12 gene signatures mirroring these states. Screening against the LINCS L1000 database led to the identification of drugs predicted to revert these signatures and corresponding disease states. A proof-of-concept study in LAMPS demonstrated mitigation of steatosis, inflammation, and fibrosis, especially with drug combinations. Mechanistically, several structurally diverse drugs were predicted to interact with a subnetwork of nuclear receptors, including pregnane X receptor (PXR; NR1I2), that has evolved to respond to both xenobiotic and endogenous ligands and is intrinsic to NAFLD-associated transcription dysregulation. In conjunction with iPSC-derived cells, this platform has the potential for developing personalized NAFLD therapeutic strategies, informing disease mechanisms, and defining optimal cohorts of patients for clinical trials.
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Affiliation(s)
- Daniel E. Lefever
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Mark T. Miedel
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Fen Pei
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Johanna K. DiStefano
- Diabetes and Fibrotic Disease Unit, Translational Genomics Research Institute TGen, Phoenix, AZ 85004, USA;
| | - Richard Debiasio
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Tong Ying Shun
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Manush Saydmohammed
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
| | - Maria Chikina
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Lawrence A. Vernetti
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Alejandro Soto-Gutierrez
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
- McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15203, USA
| | - Satdarshan P. Monga
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Ramon Bataller
- Division of Gastroenterology Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; (R.B.); (J.B.)
| | - Jaideep Behari
- Division of Gastroenterology Hepatology and Nutrition, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA; (R.B.); (J.B.)
- UPMC Liver Clinic, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Vijay K. Yechoor
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Division of Endocrinology and Metabolism, Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15203, USA
| | - Ivet Bahar
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Albert Gough
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - Andrew M. Stern
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
| | - D. Lansing Taylor
- Drug Discovery Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA; (D.E.L.); (M.T.M.); (R.D.); (T.Y.S.); (M.S.); (L.A.V.); (A.S.-G.); (S.P.M.); (V.K.Y.); (I.B.); (A.G.)
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA; (F.P.); (M.C.)
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15261, USA
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