1
|
Li YP, Mikrani R, Hu YF, Faran Ashraf Baig MM, Abbas M, Akhtar F, Xu M. Research progress of phosphatidylinositol 4-kinase and its inhibitors in inflammatory diseases. Eur J Pharmacol 2021; 907:174300. [PMID: 34217706 DOI: 10.1016/j.ejphar.2021.174300] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 06/24/2021] [Accepted: 06/30/2021] [Indexed: 01/08/2023]
Abstract
Phosphatidylinositol 4-kinase (PI4K) is a lipid kinase that can catalyze the transfer of phosphate group from ATP to the inositol ring of phosphatidylinositol (PtdIns) resulting in the phosphorylation of PtdIns at 4-OH sites, to generate phosphatidylinositol 4-phosphate (PI4P). Studies on biological functions reveal that PI4K is closely related to the occurrence and development of various inflammatory diseases such as obesity, cancer, viral infections, malaria, Alzheimer's disease, etc. PI4K-related inhibitors have been found to have the effects of inhibiting virus replication, anti-cancer, treating malaria and reducing rejection in organ transplants, among which MMV390048, an anti-malaria drug, has entered phase II clinical trial. This review discusses the classification, structure, distribution and related inhibitors of PI4K and their role in the progression of cancer, viral replication, and other inflammation induced diseases to explore their potential as therapeutic targets.
Collapse
Affiliation(s)
- Yan-Ping Li
- Department of Clinical Pharmacy, School of Preclinical Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
| | - Reyaj Mikrani
- Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Victoria 3052, Australia
| | - Yi-Fan Hu
- Department of Clinical Pharmacy, School of Preclinical Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
| | - Mirza Muhammad Faran Ashraf Baig
- Laboratory of Biomedical Engineering for Novel Bio-functional and Pharmaceutical Nano-materials, Prince Philip Dental Hospital, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, 999077, China
| | - Muhammad Abbas
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, 210023, PR China
| | - Fahad Akhtar
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China; School of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ming Xu
- Department of Clinical Pharmacy, School of Preclinical Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
| |
Collapse
|
2
|
Tian H, Sparvero LJ, Anthonymuthu TS, Sun WY, Amoscato AA, He RR, Bayır H, Kagan VE, Winograd N. Successive High-Resolution (H 2O) n-GCIB and C 60-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue. Anal Chem 2021; 93:8143-8151. [PMID: 34075742 PMCID: PMC8209780 DOI: 10.1021/acs.analchem.0c05311] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 04/14/2021] [Indexed: 12/14/2022]
Abstract
The temporo-spatial organization of different cells in the tumor microenvironment (TME) is the key to understanding their complex communication networks and the immune landscape that exists within compromised tissues. Multi-omics profiling of single-interacting cells in the native TME is critical for providing further information regarding the reprograming mechanisms leading to immunosuppression and tumor progression. This requires new technologies for biomolecular profiling of phenotypically heterogeneous cells on the same tissue sample. Here, we developed a new methodology for comprehensive lipidomic and metabolomic profiling of individual cells on frozen-hydrated tissue sections using water gas cluster ion beam secondary ion mass spectrometry ((H2O)n-GCIB-SIMS) (at 1.6 μm beam spot size), followed by profiling cell-type specific lanthanide antibodies on the same tissue section using C60-SIMS (at 1.1 μm beam spot size). We revealed distinct variations of distribution and intensities of >150 key ions (e.g., lipids and important metabolites) in different types of the TME individual cells, such as actively proliferating tumor cells as well as infiltrating immune cells. The demonstrated feasibility of SIMS imaging to integrate the multi-omics profiling in the same tissue section at the single-cell level will lead to new insights into the role of lipid reprogramming and metabolic response in normal regulation or pathogenic discoordination of cell-cell interactions in a variety of tissue microenvironments.
Collapse
Affiliation(s)
- Hua Tian
- Department
of Chemistry, Pennsylvania State University, Chemistry Building, Shortlidge Rd, University Park, Pennsylvania 16802, United States
| | - Louis J. Sparvero
- Department
of Environmental and Occupational Health and Center for Free Radical
and Antioxidant Health, University of Pittsburgh, PUBHL A-420, 130 DeSoto Street, Pittsburgh, Pennsylvania 15261, United States
- Children’s
Neuroscience Institute, UPMC Children’s Hospital, University of Pittsburgh, 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Tamil Selvan Anthonymuthu
- Department
of Environmental and Occupational Health and Center for Free Radical
and Antioxidant Health, University of Pittsburgh, PUBHL A-420, 130 DeSoto Street, Pittsburgh, Pennsylvania 15261, United States
- Department
Critical Care Medicine, Safar Center for Resuscitation Research, University of Pittsburgh, 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
- Children’s
Neuroscience Institute, UPMC Children’s Hospital, University of Pittsburgh, 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Wan-Yang Sun
- College
of Pharmacy, Jinan University, 601 Huangpu W Avenue, Guangzhou, Guangdong 510632, P. R. China
| | - Andrew A. Amoscato
- Department
of Environmental and Occupational Health and Center for Free Radical
and Antioxidant Health, University of Pittsburgh, PUBHL A-420, 130 DeSoto Street, Pittsburgh, Pennsylvania 15261, United States
- Children’s
Neuroscience Institute, UPMC Children’s Hospital, University of Pittsburgh, 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Rong-Rong He
- College
of Pharmacy, Jinan University, 601 Huangpu W Avenue, Guangzhou, Guangdong 510632, P. R. China
- School of
Traditional Chinese Medicine, Jinan University, 601 Huangpu W Avenue, Guangzhou, Guangdong 510632, P. R. China
| | - Hülya Bayır
- Department
of Environmental and Occupational Health and Center for Free Radical
and Antioxidant Health, University of Pittsburgh, PUBHL A-420, 130 DeSoto Street, Pittsburgh, Pennsylvania 15261, United States
- Department
Critical Care Medicine, Safar Center for Resuscitation Research, University of Pittsburgh, 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
- Children’s
Neuroscience Institute, UPMC Children’s Hospital, University of Pittsburgh, 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
| | - Valerian E. Kagan
- Department
of Environmental and Occupational Health and Center for Free Radical
and Antioxidant Health, University of Pittsburgh, PUBHL A-420, 130 DeSoto Street, Pittsburgh, Pennsylvania 15261, United States
- Children’s
Neuroscience Institute, UPMC Children’s Hospital, University of Pittsburgh, 4401 Penn Avenue, Pittsburgh, Pennsylvania 15224, United States
- Departments
of Chemistry, Radiation Oncology, Pharmacology and Chemical Biology,
Chevron Science Center, University of Pittsburgh, 219 Parkman Avenue, Pittsburgh, Pennsylvania 15260, United States
- Navigational
Redox Lipidomics Group, Institute for Regenerative Medicine, IM Sechenov First Moscow State Medical University, Bol’shaya Pirogovskaya Ulitsa,
2, ctp. 4, Moscow 119435, Russia
| | - Nicholas Winograd
- Department
of Chemistry, Pennsylvania State University, Chemistry Building, Shortlidge Rd, University Park, Pennsylvania 16802, United States
| |
Collapse
|
3
|
Su X, Yu Z, Zhang Y, Chen J, Wei L, Sun L. Construction and Analysis of the Dysregulated ceRNA Network and Identification of Risk Long Noncoding RNAs in Breast Cancer. Front Genet 2021; 12:664393. [PMID: 34149805 PMCID: PMC8212960 DOI: 10.3389/fgene.2021.664393] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 04/26/2021] [Indexed: 12/26/2022] Open
Abstract
Breast cancer (BRCA) is the second leading cause of cancer-related mortality in women worldwide. However, the molecular mechanism involved in the development of BRCA is not fully understood. In this study, based on the miRNA-mediated long non-coding RNA (lncRNA)-protein coding gene (PCG) relationship and lncRNA-PCG co-expression information, we constructed and analyzed a specific dysregulated lncRNA-PCG co-expression network in BRCA. Then, we performed the random walk with restart (RWR) method to prioritize BRCA-related lncRNAs through comparing their RWR score and significance. As a result, we identified 30 risk lncRNAs for BRCA, which can distinguish normal and tumor samples. Moreover, through gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, we found that these risk lncRNAs mainly synergistically exerted functions related to cell cycle and DNA separation and replication. At last, we developed a four-lncRNA prognostic signature (including AP000851.1, LINC01977, MAFG-DT, SIAH2-AS1) and assessed the survival accuracy of the signature by performing time-dependent receiver operating characteristic (ROC) analysis. The areas under the ROC curve for 1, 3, 5, and 10 years of survival prediction were 0.68, 0.61, 0.62, and 0.63, respectively. The multivariable Cox regression results verified that the four-lncRNA signature could be used as an independent prognostic biomarker in BRCA. In summary, these results have important reference value for the study of diagnosis, treatment, and prognosis evaluation of BRCA.
Collapse
Affiliation(s)
- Xiaojie Su
- College of Medical Laboratory Science and Technology, Harbin Medical University, Daqing, China
| | - Zhaoyan Yu
- Department of Otorhinolaryngology, Shandong Provincial Hospital Affiliated to Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yuexin Zhang
- School of Medical Informatics, Harbin Medical University, Daqing, China
| | - Jiaxin Chen
- School of Medical Informatics, Harbin Medical University, Daqing, China
| | - Ling Wei
- School of Medical Informatics, Harbin Medical University, Daqing, China
| | - Liang Sun
- College of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.,Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
| |
Collapse
|
4
|
Discovery of lipid profiles of type 2 diabetes associated with hyperlipidemia using untargeted UPLC Q-TOF/MS-based lipidomics approach. Clin Chim Acta 2021; 520:53-62. [PMID: 34077755 DOI: 10.1016/j.cca.2021.05.031] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 02/08/2023]
Abstract
The incidence of type 2 diabetes (T2D) is rising rapidly and has become an important public health problem. According to reports, people with T2D often have hyperlipidemia. Hence, in the current study, a plasma non-targeted lipidomics method was used to study the differences in lipid profile between 36 T2D-associated hyperlipidemia patients and 43 healthy controls by ultra-performance liquid chromatography coupled with quadrupole time-of-flight high-definition mass spectrometry (UPLC Q-TOF/MS). Furthermore, we studied the differences in lipid profile between 36 T2D-associated hyperlipidemia patients and 41 T2D patients. Principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), S-plot and heatmap were used to analyze the lipid changes between the groups. Compared with the healthy control group, 37 lipids were significantly altered in the T2D-associated hyperlipidemia group, and when compared with the T2D group, 22 lipids were significantly altered in the T2D-associated hyperlipidemia group. Of all the detected lipids categories which included sphingolipids, glycerolipids, glycerophospholipids, prenol lipids and saccharolipids, glycerophospholipids accounted for the largest proportion in the two groups. Also, this study found that glycerophospholipid metabolism pathway was the most relevant pathway for these lipid metabolisms. The identified lipids may enhance the disease prediction and provide a new tool to monitor the progression of T2D-associated hyperlipidemia.
Collapse
|