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Ching C, Iich E, Teo AKK. Harnessing Human Pluripotent Stem Cell-Derived Pancreatic In Vitro Models for High-Throughput Toxicity Testing and Diabetes Drug Discovery. Handb Exp Pharmacol 2023; 281:301-332. [PMID: 37306817 DOI: 10.1007/164_2023_655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The long-standing goals in diabetes research are to improve β-cell survival, functionality and increase β-cell mass. Current strategies to manage diabetes progression are still not ideal for sustained maintenance of normoglycemia, thereby increasing demand for the development of novel drugs. Available pancreatic cell lines, cadaveric islets, and their culture methods and formats, either 2D or 3D, allow for multiple avenues of experimental design to address diverse aims in the research setting. More specifically, these pancreatic cells have been employed in toxicity testing, diabetes drug screens, and with careful curation, can be optimized for use in efficient high-throughput screenings (HTS). This has since spearheaded the understanding of disease progression and related mechanisms, as well as the discovery of potential drug candidates which could be the cornerstone for diabetes treatment. This book chapter will touch on the pros and cons of the most widely used pancreatic cells, including the more recent human pluripotent stem cell-derived pancreatic cells, and HTS strategies (cell models, design, readouts) that can be used for the purpose of toxicity testing and diabetes drug discovery.
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Affiliation(s)
- Carmen Ching
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Precision Medicine Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Elhadi Iich
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Adrian Kee Keong Teo
- Stem Cells and Diabetes Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Precision Medicine Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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Saadat M. Evaluation of associations of GSTM1/GSTT1 null genotypes with the susceptibility to age-related macular degeneration: A meta-analysis. SCRIPTA MEDICA 2021. [DOI: 10.5937/scriptamed52-30739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Background: The relationship between glutathione S-transferase M1 (GSTM1) and T1 (GSTT1) null genotypes (homozygotes for the null alleles) and the susceptibility to age-related macular degeneration (ARMD) have been reported and revealed inconsistent results. Therefore, the current meta-analysis was carried out. Methods: Eligible published articles (before December 2020) were found by searching 8 databases. The data was extracted from articles. The heterogeneity across studies was estimated using Q and I 2 statistics and the odds ratios (ORs) and its 95 % confidence intervals (95 % CI) were estimated. Results: In total, 6 independent studies including 1089 participants (634 controls and 455 patients) were used in the current study. There was no heterogeneity between studies for both polymorphisms. Statistical analysis showed that the null genotypes of the GSTM1 (OR = 1.18, 95 % CI: 0.91 - 1.53, p = 0.191) and GSTT1 (OR = 0.84, 95 % CI: 0.60 - 1.18, p = 0.328) loci were not correlated with the susceptibility to ARMD. Conclusion: The GSTT1 and GSTM1 genetic polymorphisms did not associated with the risk of ARMD in Caucasian populations.
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Nath S, Das S, Bhowmik A, Ghosh SK, Choudhury Y. The GSTM1 and GSTT1 Null Genotypes Increase the Risk for Type 2 Diabetes Mellitus and the Subsequent Development of Diabetic Complications: A Meta-analysis. Curr Diabetes Rev 2019; 15:31-43. [PMID: 29243583 DOI: 10.2174/1573399814666171215120228] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 11/20/2017] [Accepted: 12/06/2017] [Indexed: 01/29/2023]
Abstract
BACKGROUND Studies pertaining to association of GSTM1 and GSTT1 null genotypes with risk of T2DM and its complications were often inconclusive, thus spurring the present study. METHODS Meta-analysis of 25 studies for evaluating the role of GSTM1/GSTT1 null polymorphisms in determining the risk for T2DM and 17 studies for evaluating the role of GSTM1/GSTT1 null polymorphisms in development of T2DM related complications were conducted. RESULTS Our study revealed an association between GSTM1 and GSTT1 null polymorphism with T2DM (GSTM1; OR=1.37;95% CI =1.10-1.70 and GSTT1; OR=1.29;95% CI =1.04-1.61) with an amplified risk of 2.02 fold for combined GSTM1-GSTT1 null genotypes. Furthermore, the GSTT1 null (OR=1.56;95%CI=1.38-1.77) and combined GSTM1-GSTT1 null genotypes (OR=1.91;95%CI=1.25- 2.94) increased the risk for development of T2DM related complications, but not the GSTM1 null genotype. Stratified analyses based on ethnicity revealed GSTM1 and GSTT1 null genotypes increase the risk for T2DM in both Caucasians and Asians, with Asians showing much higher risk of T2DM complications than Caucasians for the same. DISCUSSION GSTM1, GSTT1 and combined GSTM1-GSTT1 null polymorphism may be associated with increased risk for T2DM; while GSTT1 and combined GSTM1-GSTT1 null polymorphism may increase the risk of subsequent development of T2DM complications with Asian population carrying an amplified risk for the polymorphism. CONCLUSION Thus GSTM1 and GSTT1 null genotypes increases the risk for Type 2 diabetes mellitus alone, in combination or with regards to ethnicity.
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Affiliation(s)
- Sayantan Nath
- Department of Biotechnology, Assam University, Silchar, 788011, India
| | - Sambuddha Das
- Department of Biotechnology, Assam University, Silchar, 788011, India
| | - Aditi Bhowmik
- Department of Biotechnology, Assam University, Silchar, 788011, India
| | - Sankar Kumar Ghosh
- Department of Biotechnology, Assam University, Silchar, 788011, India
- University of Kalyani, Nadia, West Bengal, Kalyani: 741235, India
| | - Yashmin Choudhury
- Department of Biotechnology, Assam University, Silchar, 788011, India
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Zhou T, Kim TW, Chong CN, Tan L, Amin S, Sadat Badieyan Z, Mukherjee S, Ghazizadeh Z, Zeng H, Guo M, Crespo M, Zhang T, Kenyon R, Robinson CL, Apostolou E, Wang H, Xiang JZ, Evans T, Studer L, Chen S. A hPSC-based platform to discover gene-environment interactions that impact human β-cell and dopamine neuron survival. Nat Commun 2018; 9:4815. [PMID: 30446643 PMCID: PMC6240096 DOI: 10.1038/s41467-018-07201-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 10/23/2018] [Indexed: 01/12/2023] Open
Abstract
Common disorders, including diabetes and Parkinson’s disease, are caused by a combination of environmental factors and genetic susceptibility. However, defining the mechanisms underlying gene-environment interactions has been challenging due to the lack of a suitable experimental platform. Using pancreatic β-like cells derived from human pluripotent stem cells (hPSCs), we discovered that a commonly used pesticide, propargite, induces pancreatic β-cell death, a pathological hallmark of diabetes. Screening a panel of diverse hPSC-derived cell types we extended this observation to a similar susceptibility in midbrain dopamine neurons, a cell type affected in Parkinson’s disease. We assessed gene-environment interactions using isogenic hPSC lines for genetic variants associated with diabetes and Parkinson’s disease. We found GSTT1−/− pancreatic β-like cells and dopamine neurons were both hypersensitive to propargite-induced cell death. Our study identifies an environmental chemical that contributes to human β-cell and dopamine neuron loss and validates a novel hPSC-based platform for determining gene-environment interactions. Diseases such as diabetes and Parkinson's manifest based on interactions between genes and environment. Here, the authors find among a panel of cell types that propargite, a common pesticide, induces pancreatic β-cell and dopamine neuron death and that loss of the gene GSTT1 confers hypersensitivity.
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Affiliation(s)
- Ting Zhou
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Tae Wan Kim
- The Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York, NY, 10065, USA.,Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, New York, NY, 10065, USA
| | - Chi Nok Chong
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Lei Tan
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA.,School of Public health, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200000, China
| | - Sadaf Amin
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Zohreh Sadat Badieyan
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Suranjit Mukherjee
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Zaniar Ghazizadeh
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Hui Zeng
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Min Guo
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Miguel Crespo
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Tuo Zhang
- Genomic Resource Core Facility, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Reyn Kenyon
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Christopher L Robinson
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Effie Apostolou
- Department of Medicine, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Hui Wang
- School of Public health, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200000, China
| | - Jenny Zhaoying Xiang
- Genomic Resource Core Facility, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Todd Evans
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA
| | - Lorenz Studer
- The Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York, NY, 10065, USA. .,Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, New York, NY, 10065, USA.
| | - Shuibing Chen
- Department of Surgery, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA. .,Department of Biochemistry, Weill Cornell Medical College, 1300 York Ave, New York, 10065, NY, USA.
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Evaluation of Association Between Q192R and L55M Genetic Polymorphisms of PON1 and Serum Paraoxonase-1 Activity in Healthy Individuals, a Meta-Analysis. ROMANIAN JOURNAL OF DIABETES NUTRITION AND METABOLIC DISEASES 2018. [DOI: 10.2478/rjdnmd-2018-0020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Abstract
Background and Aims: Several studies have reported the alteration of the paraoxonase 1 (PON1) enzyme activity in various diseases, including diabetes mellitus. The Q192R and L55M are two genetic variations in the coding region of PON1. To evaluate the relationship between these polymorphisms and the alteration in serum paraoxonase activity, the present meta-analysis was carried out. Material and Methods: Eligible studies published before October 2017 was identified in several databases. The paraoxonase activity in subjects with variant alleles of the study polymorphisms were normalized using the activity of the QQ or LL genotypes. The pooled mean effect of alterations in activity level and its 95% confidence intervals (95% CI) was calculated. Results: Thirty-two studies including 11532 healthy participants were used for the present meta-analysis. The paraoxonase activity was increased in the QR and RR genotypes. This elevation was greater among Caucasians than those among Asians and Africans. The activity in the LM and MM genotypes compared with the LL genotype were decreased, this reduction in Caucasians was greater than Africans. Conclusions: At least in part other PON1 polymorphisms and environmental factors may accounts for heterogeneity between studies.
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Saadat M. Evaluation of glutathione S-transferase P1 (GSTP1) Ile105Val polymorphism and susceptibility to type 2 diabetes mellitus, a meta-analysis. EXCLI JOURNAL 2017; 16:1188-1197. [PMID: 29285015 PMCID: PMC5735339 DOI: 10.17179/excli2017-828] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 10/17/2017] [Indexed: 12/26/2022]
Abstract
It is well established that type 2 diabetes mellitus (T2DM) is associated with oxidative stress and glutathione S-transferases (GSTs) protect cells against oxidative stress. The missense substitution Ile105Val (rs1695) of the glutathione S-transferase P1 (GSTP1, OMIM: 134660) results from an A/G base substitution at nucleotide 313. Many studies have evaluated the correlation between the rs1695 polymorphism and T2DM, but the results remain inconclusive. The aim of the present meta-analysis was to investigate the association between GSTP1 Ile105Val polymorphism and the susceptibility risk of T2DM. Eligible studies (published before August 2017) were identified in several databases. The heterogeneity between studies was evaluated with the chi-square based Q test and the I2 test. The strengths of the association were assessed by pooled odds ratios (ORs) and the corresponding 95 % confidence interval (95 % CI) using either a fixed or random-effects models. Eighteen studies documenting a total of 2595 T2DM cases and 2888 controls were included in this meta-analysis. In the overall analysis there was no significant association between the rs1695 polymorphism and the risk of T2DM. The subgroup analyses stratified by ethnicity, publication year and sample size did not reveal significant association between the study polymorphism and the risk of T2DM and any sources contributing to the substantial heterogeneity between studies. The present meta-analysis suggested that there was significant heterogeneity between studies. Considering some limi tations of our meta-analysis, further large-scale studies should be done to reach a more comprehensive understanding.
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Affiliation(s)
- Mostafa Saadat
- Department of Biology, College of Sciences, Shiraz University, Shiraz 71467-13565, Iran
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Khodaeian M, Enayati S, Tabatabaei-Malazy O, Amoli MM. Association between Genetic Variants and Diabetes Mellitus in Iranian Populations: A Systematic Review of Observational Studies. J Diabetes Res 2015; 2015:585917. [PMID: 26587547 PMCID: PMC4637497 DOI: 10.1155/2015/585917] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Accepted: 01/15/2015] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Diabetes mellitus as the most prevalent metabolic disease is a multifactorial disease which is influenced by environmental and genetic factors. In this systematic review, we assessed the association between genetic variants and diabetes/its complications in studies with Iranian populations. METHODS Google Scholar, PubMed, Scopus, and Persian web databases were systematically searched up to January 2014. The search terms were "gene," "polymorphism," "diabetes," and "diabetic complications"; nephropathy, retinopathy, neuropathy, foot ulcer, and CAD (coronary artery diseases); and Persian equivalents. Animal studies, letters to editor, and in vitro studies were excluded. RESULTS Out of overall 3029 eligible articles, 88 articles were included. We found significant association between CTLA-4, IL-18, VDR, TAP2, IL-12, and CD4 genes and T1DM, HNFα and MODY, haptoglobin, paraoxonase, leptin, TCF7L2, calreticulin, ERα, PPAR-γ2, CXCL5, calpain-10, IRS-1 and 2, GSTM1, KCNJ11, eNOS, VDR, INSR, ACE, apoA-I, apo E, adiponectin, PTPN1, CETP, AT1R, resistin, MMP-3, BChE K, AT2R, SUMO4, IL-10, VEGF, MTHFR, and GSTM1 with T2DM or its complications. DISCUSSION We found some controversial results due to heterogeneity in ethnicity and genetic background. We thought genome wide association studies on large number of samples will be helpful in identifying diabetes susceptible genes as an alternative to studying individual candidate genes in Iranian populations.
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Affiliation(s)
- Mehrnoosh Khodaeian
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Samaneh Enayati
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ozra Tabatabaei-Malazy
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa M. Amoli
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Azizian-Farsani F, Rafiei G, Saadat M. Impact of sodium arsenite on chromosomal aberrations with respect to polymorphisms of detoxification and DNA repair genes. Int J Toxicol 2014; 33:518-22. [PMID: 25395496 DOI: 10.1177/1091581814557953] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Arsenic compounds can increase production of reactive oxygen species. Reactive oxygen species can induce double-strand breaks in DNA, which is a cause of chromosome aberrations (CAs). This study was conducted to determine the association between arsenic exposure and polymorphisms of genes involved in detoxification (glutathione S-transferase T1 [GSTT1], glutathione S-transferase M1 [GSTM1], glutathione S-transferase O2 [GSTO2], catalase [CAT], and NAD(P)H quinone oxidoreductase1 [NQO1]) as well as nonhomologous end joining DNA repair genes (XRCC4, XRCC5, and XRCC6) with induction of chromosomal aberrations. The participants consisted of 123 healthy males who were genotyped using polymerase chain reaction-based methods. Primary cultures of whole blood were treated with sodium arsenite (NaAsO(2); iAs(III); at final concentration 1 µmol/L), mitomycin C (at final concentration 60 ηg/mL; as positive control), or untreated. For each culture, mitotic index (MI), chromatid breaks (CBs), CAs, and total percentage of aberrant cells were determined. The levels of CB and percentage of aberrant cells were significantly higher in the TT genotype of CAT (C-262T polymorphism) than the CC genotype. The CB value in samples with GSTM1 active genotype was significantly higher than the null genotype. The MI in samples with TT genotype of NQO1 (C609T polymorphism) was significantly higher than MI in samples having CC and CT genotypes. There was no association between MI, CB, CA, and percentage of aberrant cells and polymorphisms of XRCC4, XRCC5, and XRCC6.
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Affiliation(s)
- Fatemeh Azizian-Farsani
- Department of Biology, College of Sciences, Shiraz University, Shiraz, Iran Institute of Biotechnology, Shiraz University, Shiraz, Iran
| | - Gholamreza Rafiei
- Department of Biology, College of Sciences, Shiraz University, Shiraz, Iran Institute of Biotechnology, Shiraz University, Shiraz, Iran
| | - Mostafa Saadat
- Department of Biology, College of Sciences, Shiraz University, Shiraz, Iran Institute of Biotechnology, Shiraz University, Shiraz, Iran
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Zhong Y, Zou R, Cao J, Peng M. Glutathione S-transferase M1 and glutathione S-transferase T1 genotype in chronic pancreatitis: a meta-analysis. J Int Med Res 2014; 43:9-16. [PMID: 25378345 DOI: 10.1177/0300060514549218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE A meta-analysis to determine the association between chronic pancreatitis and glutathione-S transferase (GST) mu 1 (GSTM1) and theta 1 (GSTT1) deletions. METHODS Case-control studies concerning the relationship between chronic pancreatitis and GSTM1 or GSTT1 deletions were identified (up to October 2013). Meta-analyses of the association between GSTM1 and GSTT1 genotype and chronic pancreatitis or alcoholic chronic pancreatitis (ACP) were performed. RESULTS Seven studies were included in the meta-analysis (650 patients/1382 controls for GSTM1 and 536 patients/1304 controls for GSTT1). There were no significant relationships between GSTM1/GSTT1 and chronic pancreatitis or GSTT1 and ACP. There was a significant association between GSTM1 null genotype and ACP (odds ratio 1.16, 95% confidence intervals 1.03, 1.30). CONCLUSION The GSTM1 null genotype was significantly associated with ACP risk.
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Affiliation(s)
- Yanjun Zhong
- ICU Centre, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Runmei Zou
- Department of Paediatrics, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jie Cao
- Respiratory Department, Anhui Provincial Hospital, Hefei, China
| | - Mou Peng
- Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, China
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