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Zhang Y, Li X, Liu F, Bai X, Liu X, Sun H, Gao C, Lin Y, Xing P, Zhu J, Liu R, Wang Z, Dai J, Shi D. Design of Selective PARP-1 Inhibitors and Antitumor Studies. J Med Chem 2024; 67:8877-8901. [PMID: 38776379 DOI: 10.1021/acs.jmedchem.3c02460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Designing selective PARP-1 inhibitors has become a new strategy for anticancer drug development. By sequence comparison of PARP-1 and PARP-2, we identified a possible selective site (S site) consisting of several different amino acid residues of α-5 helix and D-loop. Targeting this S site, 140 compounds were designed, synthesized, and characterized for their anticancer activities and mechanisms. Compound I16 showed the highest PARP-1 enzyme inhibitory activity (IC50 = 12.38 ± 1.33 nM) and optimal selectivity index over PARP-2 (SI = 155.74). Oral administration of I16 (25 mg/kg) showed high inhibition rates of Hela and SK-OV-3 tumor cell xenograft models, both of which were higher than those of the oral positive drug Olaparib (50 mg/kg). In addition, I16 has an excellent safety profile, without significant toxicity at high oral doses. These findings provide a novel design strategy and chemotype for the development of safe, efficient, and highly selective PARP-1 inhibitors.
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Affiliation(s)
- Yiting Zhang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Xiangqian Li
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
- Laboratory of Marine Drugs and Biological Products, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
| | - Fang Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Xiaoyi Bai
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Xiaochun Liu
- Marine Biomedical Research Institute of Qingdao, Qingdao 266071, China
| | - Hao Sun
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Chenxia Gao
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Yuxi Lin
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Pan Xing
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Jiqiang Zhu
- Shandong Linghai Biotechnology Co.Ltd., Jinan 250299, Shandong, P. R. China
| | - Ruihua Liu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Zemin Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
| | - Jiajia Dai
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, Shandong, China
| | - Dayong Shi
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China
- Laboratory of Marine Drugs and Biological Products, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
- Shandong Linghai Biotechnology Co.Ltd., Jinan 250299, Shandong, P. R. China
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Examples of Inverse Comorbidity between Cancer and Neurodegenerative Diseases: A Possible Role for Noncoding RNA. Cells 2022; 11:cells11121930. [PMID: 35741059 PMCID: PMC9221903 DOI: 10.3390/cells11121930] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/25/2022] [Accepted: 06/13/2022] [Indexed: 02/06/2023] Open
Abstract
Cancer is one of the most common causes of death; in parallel, the incidence and prevalence of central nervous system diseases are equally high. Among neurodegenerative diseases, Alzheimer’s dementia is the most common, while Parkinson’s disease (PD) is the second most frequent neurodegenerative disease. There is a significant amount of evidence on the complex biological connection between cancer and neurodegeneration. Noncoding RNAs (ncRNAs) are defined as transcribed nucleotides that perform a variety of regulatory functions. The mechanisms by which ncRNAs exert their functions are numerous and involve every aspect of cellular life. The same ncRNA can act in multiple ways, leading to different outcomes; in fact, a single ncRNA can participate in the pathogenesis of more than one disease—even if these seem very different, as cancer and neurodegenerative disorders are. The ncRNA activates specific pathways leading to one or the other clinical phenotype, sometimes with obvious mechanisms of inverse comorbidity. We aimed to collect from the existing literature examples of inverse comorbidity in which ncRNAs seem to play a key role. We also investigated the example of mir-519a-3p, and one of its target genes Poly (ADP-ribose) polymerase 1, for the inverse comorbidity mechanism between some cancers and PD. We believe it is very important to study the inverse comorbidity relationship between cancer and neurodegenerative diseases because it will help us to better assess these two major areas of human disease.
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Wang G, Yu Y, Wang Y. Effects of propofol on neuroblastoma cells via the HOTAIRM1/miR-519a-3p axis. Transl Neurosci 2022; 13:57-69. [PMID: 35350655 PMCID: PMC8919833 DOI: 10.1515/tnsci-2022-0212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/24/2022] [Accepted: 01/27/2022] [Indexed: 12/25/2022] Open
Abstract
Background Propofol, an intravenous sedative-hypnotic agent, is demonstrated to have antioxidant properties. The purpose of this study is to investigate the functional roles of propofol in neuroblastoma cells. Methods The proliferation and apoptosis were assessed by 3-(4,5-dimethylthiazol-2-yl)-2, 5-diphenyl-2H-tetrazol-3-ium bromide (MTT), EdU, and flow cytometry assays, respectively. The protein expression level was quantified by western blot assay. Inflammation and oxidative stress were determined by measuring the release of inflammatory factors, along with intracellular reactive oxygen species (ROS), lactate dehydrogenase (LDH), malondialdehyde (MDA), and superoxide dismutase (SOD) levels. The real-time quantitative polymerase chain reaction (RT-qPCR) was conducted to assess the expression levels of HOXA transcript antisense RNA, myeloid-specific 1 (HOTAIRM1), and miR-519a-3p in cells. The interaction relationship between HOTAIRM1 and miR-519a-3p was confirmed by dual-luciferase reporter, RNA immunoprecipitation (RIP), and RNA pull-down assays. Results Treatment with MPP+ has been observed to induce apoptosis, oxidative stress, and inflammation in neuroblastoma cells, which were abolished by propofol or silencing of HOTAIRM1. Importantly, the increase of HOTAIRM1 and the decrease of miR-519a-3p caused by MPP+ were reversed by propofol in neuroblastoma cells. In addition, miR-519a-3p was a target of HOTAIRM1, and inhibition of miR-519a-3p abolished HOTAIRM1 silencing-induced effects on neuroblastoma cells. Moreover, functional experiments revealed that propofol might weaken MPP+-induced apoptosis, oxidative stress, and inflammation by regulating the HOTAIRM1/miR-519a-3p axis. Conclusion Propofol inhibited oxidative stress and inflammation in MPP+-induced neuroblastoma cells by targeting the HOTAIRM1/miR-519a-3p axis, implying the potential protective function of propofol against oxidative damage.
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Affiliation(s)
- Guan Wang
- Department of Anesthesiology, The Second Hospital of Dalian Medical University , No. 467 Zhongshan Road, Shahekou District , Dalian , Liaoning , China
| | - Yao Yu
- Department of Anesthesiology, The Second Hospital of Dalian Medical University , No. 467 Zhongshan Road, Shahekou District , Dalian , Liaoning , China
| | - Yang Wang
- Department of Anesthesiology, The Second Hospital of Dalian Medical University , No. 467 Zhongshan Road, Shahekou District , Dalian , Liaoning , China
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Wu YZ, Chen YH, Cheng CT, Ann DK, Kuo CY. Amino acid restriction induces a long non-coding RNA UBA6-AS1 to regulate GCN2-mediated integrated stress response in breast cancer. FASEB J 2022; 36:e22201. [PMID: 35137449 DOI: 10.1096/fj.202101466r] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 01/03/2022] [Accepted: 01/24/2022] [Indexed: 01/17/2023]
Abstract
Oncogene activation, massive proliferation, and increased nutrient demands often result in nutrient and oxygen deprivation in solid tumors including breast cancer (BC), leading to the induction of oxidative stress and endoplasmic reticulum (ER) stress, and subsequently triggering integrated stress response (ISR). To elucidate the role of long non-coding RNAs (lncRNAs) in the ISR of BC, we performed transcriptome analyses and identified a lncRNA, UBA6-AS1, which was upregulated upon amino acid deprivation and ER stress. UBA6-AS1 was preferentially induced in triple-negative BC (TNBC) cells deprived of arginine or glutamine, two critical amino acids required for cancer cell growth, or treated with ER stress inducers. Mechanistically, UBA6-AS1 was regulated through the GCN2/eIF2α/ATF4 pathway, one of the major routes mediating ISR in amino acid sensing. In addition, both in vitro and in vivo assays indicated that UBA6-AS1 promoted TNBC cell survival when cells encountered metabolic stress, implicating a regulatory role of UBA6-AS1 in response to intratumoral metabolic stress during tumor progression. Moreover, PARP1 expression and activity were positively regulated by the GCN2/UBA6-AS1 axis upon amino acid deprivation. In conclusion, our data suggest that UBA6-AS1 is a novel lncRNA regulating ISR upon metabolic stress induction to promote TNBC cell survival. Furthermore, the GCN2-ATF4 axis is important for UBA6-AS1 induction to enhance PARP1 activity and could serve as a marker for the susceptibility of PARP inhibitors in TNBC.
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Affiliation(s)
- Yi-Zhen Wu
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yi-Hsuan Chen
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan.,Irell and Manella Graduate School of Biological Sciences, City of Hope, Duarte, California, USA
| | - Chun-Ting Cheng
- Diabetes and Metabolism Research Institute, City of Hope, Duarte, California, USA
| | - David K Ann
- Irell and Manella Graduate School of Biological Sciences, City of Hope, Duarte, California, USA.,Diabetes and Metabolism Research Institute, City of Hope, Duarte, California, USA
| | - Ching-Ying Kuo
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
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Xie G, Chen H, Sun Y, Gu G, Lin Z, Wang W, Li J. Predicting circRNA-Disease Associations Based on Deep Matrix Factorization with Multi-source Fusion. Interdiscip Sci 2021; 13:582-594. [PMID: 34185304 DOI: 10.1007/s12539-021-00455-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 06/18/2021] [Accepted: 06/20/2021] [Indexed: 12/14/2022]
Abstract
Recently, circRNAs with covalently closed loops have been discovered to play important parts in the progression of diseases. Nevertheless, the study of circRNA-disease associations is highly dependent on biological experiments, which are time-consuming and expensive. Hence, a computational approach to predict circRNA-disease associations is urgently needed. In this paper, we presented an approach that is based on deep matrix factorization with multi-source fusion (DMFMSF). In DMFMSF, several useful circRNA and disease similarities were selected and then combined by similarity kernel fusion. Then, linear and non-linear characteristics were mined using singular value decomposition (SVD) and deep matrix factorization to infer potential circRNA-disease associations. Performance of the proposed DMFMSF on two benchmark datasets are rigorously validated by leave-one-out cross-validation(LOOCV) and fivefold cross-validation (5-fold CV). The experimental results showed that DMFMSF is superior over several existing computational approaches. In addition, five important diseases, hepatocellular carcinoma, breast cancer, acute myeloid leukemia, colorectal cancer, and coronary artery disease were applied in case studies. The results suggest that DMFMSF can be used as an accurate and efficient computational tool for predicting circRNA-disease associations.
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Affiliation(s)
- Guobo Xie
- School of Computers, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China
| | - Hui Chen
- School of Computers, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China
| | - Yuping Sun
- School of Computers, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China.
| | - Guosheng Gu
- School of Computers, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China
| | - Zhiyi Lin
- School of Computers, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China
| | - Weiming Wang
- School of Computers, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China.,School of Science and Technology, The Open University of Hong Kong, Hong Kong, 999077, China
| | - Jianming Li
- School of Computers, Guangdong University of Technology, Guangzhou, 510006, Guangdong, China
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