1
|
Su J, Luo Y, Hu S, Tang L, Ouyang S. Advances in Research on Type 2 Diabetes Mellitus Targets and Therapeutic Agents. Int J Mol Sci 2023; 24:13381. [PMID: 37686185 PMCID: PMC10487533 DOI: 10.3390/ijms241713381] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023] Open
Abstract
Diabetes mellitus is a chronic multifaceted disease with multiple potential complications, the treatment of which can only delay and prolong the terminal stage of the disease, i.e., type 2 diabetes mellitus (T2DM). The World Health Organization predicts that diabetes will be the seventh leading cause of death by 2030. Although many antidiabetic medicines have been successfully developed in recent years, such as GLP-1 receptor agonists and SGLT-2 inhibitors, single-target drugs are gradually failing to meet the therapeutic requirements owing to the individual variability, diversity of pathogenesis, and organismal resistance. Therefore, there remains a need to investigate the pathogenesis of T2DM in more depth, identify multiple therapeutic targets, and provide improved glycemic control solutions. This review presents an overview of the mechanisms of action and the development of the latest therapeutic agents targeting T2DM in recent years. It also discusses emerging target-based therapies and new potential therapeutic targets that have emerged within the last three years. The aim of our review is to provide a theoretical basis for further advancement in targeted therapies for T2DM.
Collapse
Affiliation(s)
- Jingqian Su
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University, Fuzhou 350117, China; (J.S.); (Y.L.); (S.H.); (L.T.)
- Provincial University Key Laboratory of Microbial Pathogenesis and Interventions, Fujian Normal University, Fuzhou 350117, China
- Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Fujian Normal University, Fuzhou 350117, China
| | - Yingsheng Luo
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University, Fuzhou 350117, China; (J.S.); (Y.L.); (S.H.); (L.T.)
- Provincial University Key Laboratory of Microbial Pathogenesis and Interventions, Fujian Normal University, Fuzhou 350117, China
- Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Fujian Normal University, Fuzhou 350117, China
| | - Shan Hu
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University, Fuzhou 350117, China; (J.S.); (Y.L.); (S.H.); (L.T.)
- Provincial University Key Laboratory of Microbial Pathogenesis and Interventions, Fujian Normal University, Fuzhou 350117, China
- Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Fujian Normal University, Fuzhou 350117, China
| | - Lu Tang
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University, Fuzhou 350117, China; (J.S.); (Y.L.); (S.H.); (L.T.)
- Provincial University Key Laboratory of Microbial Pathogenesis and Interventions, Fujian Normal University, Fuzhou 350117, China
- Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Fujian Normal University, Fuzhou 350117, China
| | - Songying Ouyang
- Fujian Key Laboratory of Innate Immune Biology, Biomedical Research Center of South China, Fujian Normal University, Fuzhou 350117, China; (J.S.); (Y.L.); (S.H.); (L.T.)
- Provincial University Key Laboratory of Microbial Pathogenesis and Interventions, Fujian Normal University, Fuzhou 350117, China
- Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Fujian Normal University, Fuzhou 350117, China
- Key Laboratory of OptoElectronic Science and Technology for Medicine of the Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou 350117, China
| |
Collapse
|
2
|
Das AS, Sherry EC, Vaughan RM, Henderson ML, Zieba J, Uhl KL, Koehn O, Bupp CP, Rajasekaran S, Li X, Chhetri SB, Nissim S, Williams CL, Prokop JW. The complex, dynamic SpliceOme of the small GTPase transcripts altered by technique, sex, genetics, tissue specificity, and RNA base editing. Front Cell Dev Biol 2022; 10:1033695. [PMID: 36467401 PMCID: PMC9714508 DOI: 10.3389/fcell.2022.1033695] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/01/2022] [Indexed: 04/04/2024] Open
Abstract
The small GTPase family is well-studied in cancer and cellular physiology. With 162 annotated human genes, the family has a broad expression throughout cells of the body. Members of the family have multiple exons that require splicing. Yet, the role of splicing within the family has been underexplored. We have studied the splicing dynamics of small GTPases throughout 41,671 samples by integrating Nanopore and Illumina sequencing techniques. Within this work, we have made several discoveries. 1). Using the GTEx long read data of 92 samples, each small GTPase gene averages two transcripts, with 83 genes (51%) expressing two or more isoforms. 2). Cross-tissue analysis of GTEx from 17,382 samples shows 41 genes (25%) expressing two or more protein-coding isoforms. These include protein-changing transcripts in genes such as RHOA, RAB37, RAB40C, RAB4B, RAB5C, RHOC, RAB1A, RAN, RHEB, RAC1, and KRAS. 3). The isolation and library technique of the RNAseq influences the abundance of non-sense-mediated decay and retained intron transcripts of small GTPases, which are observed more often in genes than appreciated. 4). Analysis of 16,243 samples of "Blood PAXgene" identified seven genes (3.7%; RHOA, RAB40C, RAB4B, RAB37, RAB5B, RAB5C, RHOC) with two or more transcripts expressed as the major isoform (75% of the total gene), suggesting a role of genetics in altering splicing. 5). Rare (ARL6, RAB23, ARL13B, HRAS, NRAS) and common variants (GEM, RHOC, MRAS, RAB5B, RERG, ARL16) can influence splicing and have an impact on phenotypes and diseases. 6). Multiple genes (RAB9A, RAP2C, ARL4A, RAB3A, RAB26, RAB3C, RASL10A, RAB40B, and HRAS) have sex differences in transcript expression. 7). Several exons are included or excluded for small GTPase genes (RASEF, KRAS, RAC1, RHEB, ARL4A, RHOA, RAB30, RHOBTB1, ARL16, RAP1A) in one or more forms of cancer. 8). Ten transcripts are altered in hypoxia (SAR1B, IFT27, ARL14, RAB11A, RAB10, RAB38, RAN, RIT1, RAB9A) with RHOA identified to have a transient 3'UTR RNA base editing at a conserved site found in all of its transcripts. Overall, we show a remarkable and dynamic role of splicing within the small GTPase family that requires future explorations.
Collapse
Affiliation(s)
- Akansha S. Das
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
- Department of Biology, Washington and Jefferson College, Washington, PA, United States
| | - Emily C. Sherry
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
- Department of Cell and Molecular Biology, Grand Valley State University, Allendale, MI, United States
| | - Robert M. Vaughan
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
| | - Marian L. Henderson
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
- The Department of Biology, Calvin University, Grand Rapids, MI, United States
| | - Jacob Zieba
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
- Genetics and Genome Sciences Program, BioMolecular Science, Michigan State University, East Lansing, MI, United States
| | - Katie L. Uhl
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
| | - Olivia Koehn
- Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Caleb P. Bupp
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
- Medical Genetics, Spectrum Health and Helen DeVos Children’s Hospital, Grand Rapids, MI, United States
| | - Surender Rajasekaran
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
- Department of Pediatric Critical Care Medicine, Helen DeVos Children’s Hospital Spectrum Health, Grand Rapids, MI, United States
- Office of Research, Spectrum Health, Grand Rapids, MI, United States
| | - Xiaopeng Li
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
| | - Surya B. Chhetri
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MA, United States
| | - Sahar Nissim
- Genetics and Gastroenterology Divisions, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Dana-Farber Cancer Institute, Boston, MA, United States
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States
| | - Carol L. Williams
- Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Jeremy W. Prokop
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI, United States
- Genetics and Genome Sciences Program, BioMolecular Science, Michigan State University, East Lansing, MI, United States
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, MI, United States
| |
Collapse
|
3
|
Zhao H, Kong H, Wang B, Wu S, Chen T, Cui Y. RNA-Binding Proteins and Alternative Splicing Genes Are Coregulated in Human Retinal Endothelial Cells Treated with High Glucose. J Diabetes Res 2022; 2022:7680513. [PMID: 35308095 PMCID: PMC8926481 DOI: 10.1155/2022/7680513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 02/17/2022] [Accepted: 02/21/2022] [Indexed: 01/10/2023] Open
Abstract
To explore the relevant RNA-binding proteins (RBPs) and alternative splicing events (ASEs) in diabetic retinopathy (DR). We devised a comprehensive work to integrate analyses of the differentially expressed genes, including differential RBPs, and variable splicing characteristics related to DR in human retinal endothelial cells induced by low glucose and high glucose in dataset GSE117238. A total of 2320 differentially expressed genes (DEGs) were identified, including 1228 upregulated genes and 1092 downregulated genes. Further analysis screened out 232 RBP genes, and 42 AS genes overlapped DEGs. We selected high expression and consistency six RBP genes (FUS, HNRNPA2B1, CANX, EIF1, CALR, and POLR2A) for coexpression analysis. Through analysis, we found eight RASGs (MDM2, GOLGA2P7, NFE2L1, KDM4A, FAM111A, CIRBP, IDH1, and MCM7) that could be regulated by RBP. The coexpression network was conducted to further elucidate the regulatory and interaction relationship between RBPs and AS. Apoptotic progress, protein phosphorylation, and NF-kappaB cascade revealed by the functional enrichment analysis of RASGs regulated by RBPs were closely related to diabetic retinopathy. Furthermore, the expression of differentially expressed RBPs was validated by qRT-PCR in mouse retinal microvascular endothelial cells and retinas from the streptozotocin mouse model. The results showed that Fus, Hnrnpa2b1, Canx, Calr, and Polr2a were remarkedly difference in high-glucose-treated retinal microvascular endothelial cells and Fus, Hnrnpa2b1, Canx, and Calr were remarkedly difference in retinas from streptozotocin-induced diabetic mice compared to control. The regulatory network between identified RBPs and RASGs suggests the presence of several signaling pathways possibly involved in the pathogenesis of DR. The verified RBPs should be further addressed by future studies investigating associations between RBPs and the downstream of AS, as they could serve as potential biomarkers and targets for DR.
Collapse
Affiliation(s)
- Hongran Zhao
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China
- School of Medicine, Shandong University, Jinan, Shandong Province, China
| | - Hui Kong
- School of Medicine, Shandong University, Jinan, Shandong Province, China
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong Province, China
| | - Bozhao Wang
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China
- School of Medicine, Shandong University, Jinan, Shandong Province, China
| | - Sihui Wu
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China
- School of Medicine, Shandong University, Jinan, Shandong Province, China
| | - Tianran Chen
- School of Medicine, Shandong University, Jinan, Shandong Province, China
| | - Yan Cui
- Department of Ophthalmology, Qilu Hospital of Shandong University, Shandong University, Jinan, Shandong Province, China
| |
Collapse
|