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Kaplan SJ, Wong W, Yan J, Pulecio J, Cho HS, Li Q, Zhao J, Leslie-Iyer J, Kazakov J, Murphy D, Luo R, Dey KK, Apostolou E, Leslie CS, Huangfu D. CRISPR Screening Uncovers a Long-Range Enhancer for ONECUT1 in Pancreatic Differentiation and Links a Diabetes Risk Variant. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.26.591412. [PMID: 38746154 PMCID: PMC11092487 DOI: 10.1101/2024.04.26.591412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Functional enhancer annotation is a valuable first step for understanding tissue-specific transcriptional regulation and prioritizing disease-associated non-coding variants for investigation. However, unbiased enhancer discovery in physiologically relevant contexts remains a major challenge. To discover regulatory elements pertinent to diabetes, we conducted a CRISPR interference screen in the human pluripotent stem cell (hPSC) pancreatic differentiation system. Among the enhancers uncovered, we focused on a long-range enhancer ∼664 kb from the ONECUT1 promoter, since coding mutations in ONECUT1 cause pancreatic hypoplasia and neonatal diabetes. Homozygous enhancer deletion in hPSCs was associated with a near-complete loss of ONECUT1 gene expression and compromised pancreatic differentiation. This enhancer contains a confidently fine-mapped type 2 diabetes associated variant (rs528350911) which disrupts a GATA motif. Introduction of the risk variant into hPSCs revealed substantially reduced binding of key pancreatic transcription factors (GATA4, GATA6 and FOXA2) on the edited allele, accompanied by a slight reduction of ONECUT1 transcription, supporting a causal role for this risk variant in metabolic disease. This work expands our knowledge about transcriptional regulation in pancreatic development through the characterization of a long-range enhancer and highlights the utility of enhancer discovery in disease-relevant settings for understanding monogenic and complex disease.
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Luo WS, Qiang DR, Zhu WR, Kong XL, Xu WC. Haplotype analysis on association between C-reactive protein gene and susceptibility to type 2 diabetes mellitus in Chinese Han population : CRP gene and type 2 diabetes mellitus. Acta Diabetol 2024:10.1007/s00592-024-02309-x. [PMID: 38833006 DOI: 10.1007/s00592-024-02309-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 05/16/2024] [Indexed: 06/06/2024]
Abstract
AIMS We aimed to evaluate the impact of C-reactive protein (CRP) gene polymorphism, additional gene-gene interaction, and haplotypes on susceptibility to type 2 diabetes mellitus (T2DM). METHODS SNPstats online software ( https://www.snpstats.net/start.htm ) was employed to evaluate the association between CRP gene and T2DM risk. High-order interactions among SNPs was tested using generalized multifactor dimensionality reduction, and the testing balanced accuracy, training balanced accuracy and cross-validation consistency were calculated. The SHEsisPlus ( http://shesisplus.bio-x.cn/SHEsis.html ) online software was used for haplotype analysis. RESULTS A total of 730 T2DM patients and 765 controls were enrolled. The T allele of rs1205 is associated with increased susceptibility to T2DM, OR (95% CI) were 1.51 (1.13-2.01), 1.44 (1.10-1.89) and 1.25 (1.01-1.54) for codominant, dominant and over-dominant models, respectively. We also found that minor allele of rs2794521 is associated with decreased susceptibility to T2DM under codominant and recessive models, OR (95%CI) were 0.38 (0.18-0.79) and 0.37 (0.16-0.80) for codominant and recessive models, respectively. No significant gene-gene interaction existed among CRP gene SNPs, all interaction p- values were more than 0.05. Haplotype analyses suggested the CGCA haplotype containing rs1205-C, rs1130864-G, rs2794521- C and rs3093059- A allele was associated with decreased risk of T2DM, OR (95% CI) = 0.83 (0.68-0.98), P = 0.047. CONCLUSIONS Minor allele of rs1205 was associated with increased T2DM risk. Minor allele of rs2794521 and the CGCA haplotype were associated with decreased T2DM risk.
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Affiliation(s)
- Wen-Shu Luo
- Department of Chronic Non-Communicable Disease Control, Changzhou Center for Disease Control and Prevention, Changzhou Advanced Institute of Public Health, Nanjing Medical University, No. 203 Taishan Road, Xinbei District, Changzhou, 213022, Jiangsu, People's Republic of China
| | - De-Ren Qiang
- Department of Chronic Non-Communicable Disease Control, Changzhou Wujin District Disease Prevention and Control Center, Changzhou, 213164, Jiangsu, People's Republic of China
- Community Health Service Center of Xihu Street, Wujin District, Changzhou, 213149, Jiangsu, People's Republic of China
| | - Wen-Rong Zhu
- Community Health Service Center of Xihu Street, Wujin District, Changzhou, 213149, Jiangsu, People's Republic of China
| | - Xiao-Ling Kong
- Department of Chronic Non-Communicable Disease Control, Changzhou Wujin District Disease Prevention and Control Center, Changzhou, 213164, Jiangsu, People's Republic of China
| | - Wen-Chao Xu
- Department of Chronic Non-Communicable Disease Control, Changzhou Center for Disease Control and Prevention, Changzhou Advanced Institute of Public Health, Nanjing Medical University, No. 203 Taishan Road, Xinbei District, Changzhou, 213022, Jiangsu, People's Republic of China.
- The Affiliated Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, 213003, Jiangsu, People's Republic of China.
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Vadadokhau U, Varga I, Káplár M, Emri M, Csősz É. Examination of the Complex Molecular Landscape in Obesity and Type 2 Diabetes. Int J Mol Sci 2024; 25:4781. [PMID: 38732002 PMCID: PMC11084226 DOI: 10.3390/ijms25094781] [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] [Received: 03/13/2024] [Revised: 04/10/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
The escalating prevalence of metabolic disorders, notably type 2 diabetes (T2D) and obesity, presents a critical global health challenge, necessitating deeper insights into their molecular underpinnings. Our study integrates proteomics and metabolomics analyses to delineate the complex molecular landscapes associated with T2D and obesity. Leveraging data from 130 subjects, including individuals with T2D and obesity as well as healthy controls, we elucidate distinct molecular signatures and identify novel biomarkers indicative of disease progression. Our comprehensive characterization of cardiometabolic proteins and serum metabolites unveils intricate networks of biomolecular interactions and highlights differential protein expression patterns between T2D and obesity cohorts. Pathway enrichment analyses reveal unique mechanisms underlying disease development and progression, while correlation analyses elucidate the interplay between proteomics, metabolomics, and clinical parameters. Furthermore, network analyses underscore the interconnectedness of cardiometabolic proteins and provide insights into their roles in disease pathogenesis. Our findings may help to refine diagnostic strategies and inform the development of personalized interventions, heralding a new era in precision medicine and healthcare innovation. Through the integration of multi-omics approaches and advanced analytics, our study offers a crucial framework for deciphering the intricate molecular underpinnings of metabolic disorders and paving the way for transformative therapeutic strategies.
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Affiliation(s)
- Uladzislau Vadadokhau
- Proteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- Doctoral School of Molecular Cellular and Immune Biology, University of Debrecen, 4032 Debrecen, Hungary
| | - Imre Varga
- Department of IT Systems and Networks, Faculty of Informatics, University of Debrecen, 4028 Debrecen, Hungary;
| | - Miklós Káplár
- Department of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary;
| | - Miklós Emri
- Department of Medical Imaging, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary;
| | - Éva Csősz
- Proteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
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Yao XI, Tong X, Shen C, Song Y, Sun S, Chen K, Shen H. Green space, genetic susceptibility, and risk of osteoporosis:a cohort study from the UK Biobank. CHEMOSPHERE 2024; 353:141632. [PMID: 38442776 DOI: 10.1016/j.chemosphere.2024.141632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/27/2024] [Accepted: 03/01/2024] [Indexed: 03/07/2024]
Abstract
OBJECTIVE This study aimed to investigate the effect of residential exposure to green space on the incident osteoporosis and further explore the modification effect of genetic susceptibility. METHODS Participants from the UK Biobank were followed from 2006 to 2010 (baseline) to December 31st, 2022. Using land use coverage, we evaluated exposure to residential surrounding green space, natural environment, and domestic gardens. We used the Cox regression to examine the association between the residential environment and incident osteoporosis. The interactive effects between polygenic risk score (PRS) of osteoporosis and residential environments on incident osteoporosis were investigated. RESULTS This study included 292,662 participants. Over a median follow-up period of 13.65 years, we documented 9177 incidents of osteoporosis. Per interquartile (IQR) increase in greenness and natural environment at a 300 m buffer was associated with a 4% lower risk of incident osteoporosis [HR = 0.96 (95% CI: 0.93, 0.99)] and [HR = 0.96 (95% CI: 0.93, 0.98)], respectively. We did not identify any interactive effects between genetic risk and residential environment on incident osteoporosis. CONCLUSIONS This study found that public greenness and natural environments could reduce the risk of incident osteoporosis regardless of genetic predisposition. Developing sustainable and publicly accessible natural environments might benefit populations' bone health.
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Affiliation(s)
- Xiaoxin I Yao
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, PR China; Department of Clinical Research, The Eighth Affiliated Hospital, Sun Yat-sen University, PR China
| | - Xinning Tong
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, PR China
| | - Chen Shen
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; National Institute for Health Research Health Protection Research Unit in Chemical and Radiation Threats and Hazards, Imperial College London, UK
| | - Yichang Song
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, PR China
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing, 100069, PR China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
| | - Keng Chen
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, PR China.
| | - Huiyong Shen
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-Sen University, PR China; Department of Clinical Research, The Eighth Affiliated Hospital, Sun Yat-sen University, PR China.
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Lam V, Sharma S, Gupta S, Spouge JL, Jordan IK, Mariño-Ramírez L. Ancestry-attenuated effects of socioeconomic deprivation on type 2 diabetes disparities in the All of Us cohort. BMC GLOBAL AND PUBLIC HEALTH 2023; 1:22. [PMID: 38045036 PMCID: PMC10693462 DOI: 10.1186/s44263-023-00025-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/28/2023] [Indexed: 12/05/2023]
Abstract
Background Diabetes is a common disease with a major burden on morbidity, mortality, and productivity. Type 2 diabetes (T2D) accounts for roughly 90% of all diabetes cases in the USA and has a greater observed prevalence among those who identify as Black or Hispanic. Methods This study aimed to assess T2D racial and ethnic disparities using the All of Us Research Program data and to measure associations between genetic ancestry (GA), socioeconomic deprivation, and T2D. We used the All of Us Researcher Workbench to analyze T2D prevalence and model its associations with GA, individual-level (iSDI), and zip code-based (zSDI) socioeconomic deprivation indices among participant self-identified race and ethnicity (SIRE) groups. Results The study cohort of 86,488 participants from the four largest SIRE groups in All of Us: Asian (n = 2311), Black (n = 16,282), Hispanic (n = 16,966), and White (n = 50,292). SIRE groups show characteristic genetic ancestry patterns, consistent with their diverse origins, together with a continuum of ancestry fractions within and between groups. The Black and Hispanic groups show the highest levels of socioeconomic deprivation, followed by the Asian and White groups. Black participants show the highest age- and sex-adjusted T2D prevalence (21.9%), followed by the Hispanic (19.9%), Asian (15.1%), and White (14.8%) groups. Minority SIRE groups and socioeconomic deprivation, both iSDI and zSDI, are positively associated with T2D, when the entire cohort is analyzed together. However, SIRE and GA both show negative interaction effects with iSDI and zSDI on T2D. Higher levels of iSDI and zSDI are negatively associated with T2D in the Black and Hispanic groups, and higher levels of iSDI and zSDI are negatively associated with T2D at high levels of African and Native American ancestry. Conclusions Socioeconomic deprivation is associated with a higher prevalence of T2D in Black and Hispanic minority groups, compared to the majority White group. Nonetheless, socioeconomic deprivation is associated with reduced T2D risk within the Black and Hispanic groups. These results are paradoxical and have not been reported elsewhere, with possible explanations related to the nature of the All of Us data along with SIRE group differences in access to healthcare, diet, and lifestyle.
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Affiliation(s)
- Vincent Lam
- National Institute on Minority Health and Health Disparities, National Institutes of Health, 11545 Rockville Pike, Building 11545 Rockville Pike, 2WF Room C14, Rockville, MD 20818 USA
| | - Shivam Sharma
- National Institute on Minority Health and Health Disparities, National Institutes of Health, 11545 Rockville Pike, Building 11545 Rockville Pike, 2WF Room C14, Rockville, MD 20818 USA
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA USA
| | - Sonali Gupta
- National Institute on Minority Health and Health Disparities, National Institutes of Health, 11545 Rockville Pike, Building 11545 Rockville Pike, 2WF Room C14, Rockville, MD 20818 USA
| | - John L. Spouge
- National Library of Medicine, National Institutes of Health, Bethesda, MD USA
| | - I. King Jordan
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA USA
| | - Leonardo Mariño-Ramírez
- National Institute on Minority Health and Health Disparities, National Institutes of Health, 11545 Rockville Pike, Building 11545 Rockville Pike, 2WF Room C14, Rockville, MD 20818 USA
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Zhang S, Chen S, He K, Liu J, Su X, Li W, Ma J, Cheng C, Ouyang R, Mu Y, Zheng L, Cai J, Feng Y, Zeng F, Peng L, Ye Y. The Interaction of Dietary Patterns and Genetic Variants on the Risk of Cardiovascular Diseases in Chinese Patients with Type 2 Diabetes. Mol Nutr Food Res 2023; 67:e2300332. [PMID: 37712112 DOI: 10.1002/mnfr.202300332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/09/2023] [Indexed: 09/16/2023]
Abstract
SCOPE Diabetes is an important risk factor for cardiovascular disease (CVD), which in turn is the most common and serious complication of diabetes. This study analyzes dietary patterns and single nucleotide polymorphisms (SNPs) in 543 diabetes patients with new-onset cardiovascular events and 461 diabetic patients without. METHODS AND RESULTS SNPs are determined and analyzed using real time PCR and gene chip method. Factor analysis and logistic regression are used to determine dietary patterns and evaluate the level of associations and interaction effects, respectively. The legumes and edible fungi pattern and vegetable pattern show a significant negative correlation with complication risk. ADIPOQ rs37563 and legumes and edible fungi pattern have a significant interactive effect on disease, and patients with a high score of C polymorphism genotype (GC + CC) have a lower risk of disease. 5-10-Methylenetetrahydrofolate reductase (MTHFR) rs1801131 and vegetable pattern have a borderline interaction effect on disease, and those patients with TT genotype have a lower risk of disease. CONCLUSION These findings provide new insights into the role of the interactive protection of dietary patterns and SNPs. And participants with specific alleles show a lower risk of cardiovascular complications.
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Affiliation(s)
- Shiwen Zhang
- Department of Clinical Nutrition, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Road West, Guangzhou, 510630, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Shiyun Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Kaiyin He
- Department of Clinical Nutrition, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Road West, Guangzhou, 510630, China
| | - Jiazi Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Xin Su
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Wanlin Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Junrong Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Chen Cheng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - RuiQing Ouyang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Yingjun Mu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Lu Zheng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Jun Cai
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Yonghui Feng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Road West, Guangzhou, 510632, China
| | - Longyun Peng
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Yanbin Ye
- Department of Clinical Nutrition, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Road West, Guangzhou, 510630, China
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Lam V, Sharma S, Gupta S, Spouge JL, Jordan IK, Mariño-Ramírez L. Ancestry-attenuated effects of socioeconomic deprivation on type 2 diabetes disparities in the All of Us cohort. RESEARCH SQUARE 2023:rs.3.rs-2976764. [PMID: 37790565 PMCID: PMC10543018 DOI: 10.21203/rs.3.rs-2976764/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Background Diabetes is a common disease with a major burden on morbidity, mortality, and productivity. Type 2 diabetes (T2D) accounts for roughly 90% of all diabetes cases in the United States and has greater observed prevalence among those who identify as Black or Hispanic. Methods The aims of this study were to determine whether T2D racial and ethnic disparities can be observed in data from the All of Us Research Program and to measure associations of genetic ancestry (GA) and socioeconomic deprivation with T2D. The All of Us Researcher Workbench was used to calculate T2D prevalence and to model T2D associations with GA, individual-level (iSDI) and zip code-based (zSDI) socioeconomic deprivation indices within and between participant self-identified race and ethnicity (SIRE) groups. Results The study cohort of 86,488 participants from the four largest SIRE groups in All of Us: Asian (n=2,311), Black (n=16,282), Hispanic (n=16,966), and White (n=50,292). SIRE groups show characteristic genetic ancestry patterns, consistent with their diverse origins, together with a continuum of ancestry fractions within and between groups. The Black and Hispanic groups show the highest median SDI values, followed by the Asian and White groups. Black participants show the highest age- and sex-adjusted T2D prevalence (21.9%), followed by the Hispanic (19.9%), Asian (15.1%), and White (14.8%) groups. Minority SIRE groups and socioeconomic deprivation are positively associated with T2D, when the entire cohort is analyzed together. However, SIRE and GA both show negative interaction effects with SDI on T2D. Higher levels of SDI are negatively associated with T2D in the Black and Hispanic groups, and higher levels of SDI are negatively associated with T2D at high levels of African and Native American ancestry. Conclusion Socioeconomic deprivation is positively associated with the SIRE group T2D disparities observed here but negatively associated with T2D within the Black and Hispanic groups that show the highest T2D prevalence. These results are paradoxical and have not been reported elsewhere. We discuss possible explanations for this paradox related to the nature of the All of Us data along with SIRE group differences in access to healthcare, diet, and lifestyle.
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Apio C, Chung W, Moon MK, Kwon O, Park T. Gene-diet interaction analysis using novel weighted food scores discovers the adipocytokine signaling pathway associated with the development of type 2 diabetes. Front Endocrinol (Lausanne) 2023; 14:1165744. [PMID: 37680885 PMCID: PMC10482093 DOI: 10.3389/fendo.2023.1165744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 07/31/2023] [Indexed: 09/09/2023] Open
Abstract
Introduction The influence of dietary patterns measured using Recommended Food Score (RFS) with foods with high amounts of antioxidant nutrients for Type 2 diabetes (T2D) was analyzed. Our analysis aims to find associations between dietary patterns and T2D and conduct a gene-diet interaction analysis related to T2D. Methods Data analyzed in the current study were obtained from the Korean Genome and Epidemiology Study Cohort. The dietary patterns of 46 food items were assessed using a validated food frequency questionnaire. To maximize the predictive power of the RFS, we propose two weighted food scores, namely HisCoM-RFS calculated using the novel Hierarchical Structural Component model (HisCoM) and PLSDA-RFS calculated using Partial Least Squares-Discriminant Analysis (PLS-DA) method. Results Both RFS (OR: 1.11; 95% CI: 1.03- 1.20; P = 0.009) and PLSDA-RFS (OR: 1.10; 95% CI: 1.02-1.19, P = 0.011) were positively associated with T2D. Mapping of SNPs (P < 0.05) from the interaction analysis between SNPs and the food scores to genes and pathways yielded some 12 genes (CACNA2D3, RELN, DOCK2, SLIT3, CTNNA2, etc.) and pathways associated with T2D. The strongest association was observed with the adipocytokine signalling pathway, highlighting 32 genes (STAT3, MAPK10, MAPK8, IRS1, AKT1-3, ADIPOR2, etc.) most likely associated with T2D. Finally, the group of the subjects in low, intermediate and high using both the food scores and a polygenic risk score found an association between diet quality groups with issues at high genetic risk of T2D. Conclusion A dietary pattern of poor amounts of antioxidant nutrients is associated with the risk of T2D, and diet affects pathway mechanisms involved in developing T2D.
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Affiliation(s)
- Catherine Apio
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Wonil Chung
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Min Kyong Moon
- Department of Internal Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Oran Kwon
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea
| | - Taesung Park
- Department of Statistics, Seoul National University, Seoul, Republic of Korea
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Zhao Y, Zou J, Chen Y, Zhou J, Dai W, Peng M, Li X, Jiang S. Changes of the acute myocardial infarction-related resident deaths in a transitioning region: a real-world study involving 3.17 million people. Front Public Health 2023; 11:1096348. [PMID: 37670829 PMCID: PMC10476525 DOI: 10.3389/fpubh.2023.1096348] [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] [Received: 11/12/2022] [Accepted: 04/10/2023] [Indexed: 09/07/2023] Open
Abstract
Background The impact of acute myocardial infarction (AMI) on the life span of residents in a transitioning region has not been studied in depth. Therefore, we aimed to evaluate the changes in AMI-related resident deaths in a transitioning region in China. Methods A longitudinal, population-based study was performed to analyze the deaths with/of AMI in Pudong New Area (PNA), Shanghai from 2005 to 2021. The average annual percentage change (AAPC) of AMI in crude mortality rates (CMR), age-standardized mortality rates worldwide (ASMRW), and rates of years of life lost (YLLr) were calculated by the joinpoint regression. The impact of demographic and non-demographic factors on the mortality of residents who died with/of AMI was quantitatively analyzed by the decomposition method. Results In 7,353 residents who died with AMI, 91.74% (6,746) of them were died of AMI from 2005 to 2021. In this period, the CMR and ASMRW of residents died with/of AMI were 15.23/105 and 5.17/105 person-years, the AAPC of CMR was 0.01% (95% CI: -0.71,0.72, p = 0.989) and 0.06% (95% CI: -0.71,0.84, p = 0.868), and the ASMRW decreased by 2.83% (95% CI: -3.66,-2.00, p < 0.001) and 2.76% (95% CI: -3.56,-1.95, p < 0.001), respectively. The CMR of people died of AMI showed a downward trend (all p < 0.05) in people ≥60 years but an upward trend [AAPC = 2.47% (95% CI: 0.07,4.94, p = 0.045)] in people of 45-59 years. The change in CMR of people died with/of AMI caused by demographic factors was 28.70% (95% CI: 12.99,46.60, p = 0.001) and 28.07% (95% CI: 12.71,45.52, p = 0.001) per year, respectively. Conclusion Preventative strategies for AMI should be applied to enhance the health management of residents aged 45-59 years or with comorbidities in the transitioning region.
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Affiliation(s)
- Yajun Zhao
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zou
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yichen Chen
- Office of Scientific Research and Information Management, Centres for Disease Control and Prevention, Shanghai, China
- Office of Scientific Research and Information Management, Pudong Institute of Preventive Medicine, Shanghai, China
- School of Public Health, Fudan University, Shanghai, China
| | - Jing Zhou
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Dai
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Minghui Peng
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaopan Li
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
- Office of Scientific Research and Information Management, Pudong Institute of Preventive Medicine, Shanghai, China
| | - Sunfang Jiang
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
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Kuznetsov IA, Tsepilov YA, Freidin MB, Williams FMK, Suri P, Aulchenko YS. Genotype-by-environment interactions in chronic back pain. Spine J 2023; 23:1108-1114. [PMID: 37080360 DOI: 10.1016/j.spinee.2023.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 04/06/2023] [Accepted: 04/11/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND CONTEXT Chronic back pain (CBP) is a common debilitating condition with substantial societal impact. While understanding genotype-by-environment (GxE) interactions may be crucial to achieving the goals of personalized medicine, there are few large-scale studies investigating this topic for CBP. None of them systematically explore multiple CBP risk factors. PURPOSE To estimate the extent to which genetic effects on CBP are modified by known demographic and clinical risk factors. RESEARCH DESIGN Case-control study, genome-wide GxE interaction study. PATIENT SAMPLE Data on up to 331,610 unrelated participants (57,881 CBP cases and 273,729 controls) from the UK Biobank cohort were used. UK Biobank is a prospective cohort with collected deep genetic and phenotypic data on approximately 500,000 individuals across the UK. OUTCOME MEASURES Self-reported chronic back pain. METHODS We applied a whole-genome approach to estimate the proportion of phenotypic variance explained by interactions between genotype and 12 known risk factors. We also analyzed if effects of common single-nucleotide polymorphisms on CBP are changed in presence of known risk factors. RESULTS The results indicate a modest, if any, modification of genetic effects by examined risk factors in CBP. Our estimates suggest that detecting such weak effects would require a sample size of millions of individuals. CONCLUSIONS The GxE interactions with examined common risk factors for CBP are either weak or absent. Interactions of such magnitude are unlikely to have the potential to inform and influence treatment strategies. Risk estimation models may use common genetic variation and the considered risk factors as independent predictors, without accounting for GxE.
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Affiliation(s)
- Ivan A Kuznetsov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, 30 bld.1 Bolshoy Boulevard, Moscow 121205, Russia
| | - Yakov A Tsepilov
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 10 Lavrentiev Ave, Novosibirsk, 630090, Russia; Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, 1 Pirogova St, Novosibirsk, 630090, Russia; Kurchatov genomics center of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 10 Lavrentiev Ave, Novosibirsk, 630090, Russia
| | - Maxim B Freidin
- Department of Biology, School of Biological and Behavioural Sciences, Queen Mary University of London, Mile End Rd, Bethnal Green, London E1 4DQ, UK
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, Westminster Bridge Rd, London SE1 7EH, UK
| | - Pradeep Suri
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, 1660 S. Columbian Way, Seattle, WA 98108, USA; Division of Rehabilitation Care Services, 1660 S. Columbian Way, Seattle, WA 98108, USA; Clinical Learning, Evidence, and Research Center, University of Washington, 325 Ninth AvBox 359612, Seattle, WA 98104, USA
| | - Yurii S Aulchenko
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics, 10 Lavrentiev Ave, Novosibirsk, 630090, Russia; PolyOmica, Het Vlaggeschip 61, 's-Hertogenbosch, PA 5237, The Netherlands.
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11
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Lehmann B, Mackintosh M, McVean G, Holmes C. Optimal strategies for learning multi-ancestry polygenic scores vary across traits. Nat Commun 2023; 14:4023. [PMID: 37419925 PMCID: PMC10328935 DOI: 10.1038/s41467-023-38930-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 05/22/2023] [Indexed: 07/09/2023] Open
Abstract
Polygenic scores (PGSs) are individual-level measures that aggregate the genome-wide genetic predisposition to a given trait. As PGS have predominantly been developed using European-ancestry samples, trait prediction using such European ancestry-derived PGS is less accurate in non-European ancestry individuals. Although there has been recent progress in combining multiple PGS trained on distinct populations, the problem of how to maximize performance given a multiple-ancestry cohort is largely unexplored. Here, we investigate the effect of sample size and ancestry composition on PGS performance for fifteen traits in UK Biobank. For some traits, PGS estimated using a relatively small African-ancestry training set outperformed, on an African-ancestry test set, PGS estimated using a much larger European-ancestry only training set. We observe similar, but not identical, results when considering other minority-ancestry groups within UK Biobank. Our results emphasise the importance of targeted data collection from underrepresented groups in order to address existing disparities in PGS performance.
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Affiliation(s)
- Brieuc Lehmann
- Department of Statistical Science, University College London, London, UK.
| | | | - Gil McVean
- Big Data Institute, University of Oxford, Oxford, UK
| | - Chris Holmes
- The Alan Turing Institute, London, UK
- Big Data Institute, University of Oxford, Oxford, UK
- Department of Statistics, University of Oxford, Oxford, UK
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12
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Ginting JB, Suci T, Ginting CN, Girsang E. Early detection system of risk factors for diabetes mellitus type 2 utilization of machine learning-random forest. J Family Community Med 2023; 30:171-179. [PMID: 37675209 PMCID: PMC10479022 DOI: 10.4103/jfcm.jfcm_33_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/28/2023] [Accepted: 06/06/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND The prevalence of morbidity and mortality for type 2 diabetes mellitus (DM) is still increasing because of changing lifestyles. There needs to be a means of controlling the rise in the incidence of the disease. Many researchers have utilized technological advances such as machine learning for disease prevention and control, especially in noncommunicable conditions. Researchers are, therefore, interested in creating an early detection system for risk factors of type 2 diabetes. MATERIALS AND METHODS The study was conducted in February 2022, utilizing secondary surveillance data from Puskesmas Johar Baru, Jakarta, in 2019, 2020, and 2021. Data was analyzed utilizing various bivariate and multivariate statistical methods at 5% significance level and machine learning methods (random forest algorithm) with an accuracy rate of >80%. The data for the three years was cleaned, normalized, and merged. RESULTS The final population was 65,533 visits out of the initial data of 196,949, and the final number of DM 2 population was 2766 out of the initial data of 9903. Age, gender, family history of DM, family history of hypertension, hypertension, high blood sugar levels, obesity, and central obesity were significantly associated with type 2 DM. Family history was the strongest risk factor of all independent variables, odds ratio of 15.101. The classification results of feature importance, with an accuracy rate of 84%, obtained in order were age, blood sugar level, and body mass index. CONCLUSION Blood sugar level is the most influential factor in the incidence of DM in Puskesmas Johar Baru. In other words, a person with a family history of type 2 diabetes, at unproductive age, of female gender, and of excessive weight can avoid type 2 diabetes if they can regularly maintain their blood sugar levels.
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Affiliation(s)
- Johannes B. Ginting
- Department of Bachelor of Public Health, Faculty of Medicine, Dentistry and Health Sciences, Universitas Prima Indonesia, North Sumatra, Indonesia
| | - Tri Suci
- Department of Bachelor of Public Health, Faculty of Medicine, Dentistry and Health Sciences, Universitas Prima Indonesia, North Sumatra, Indonesia
| | - Chrismis N. Ginting
- Department of Bachelor of Public Health, Faculty of Medicine, Dentistry and Health Sciences, Universitas Prima Indonesia, North Sumatra, Indonesia
| | - Ermi Girsang
- Department of Bachelor of Public Health, Faculty of Medicine, Dentistry and Health Sciences, Universitas Prima Indonesia, North Sumatra, Indonesia
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Farhadi-Azar M, Noroozzadeh M, Ghahremani M, Rahmati M, Saei Ghare Naz M, Azizi F, Ramezani Tehrani F. Maternal androgen excess increases the risk of pre-diabetes mellitus in male offspring in later life: a long-term population-based follow-up study. J Endocrinol Invest 2023:10.1007/s40618-022-01972-7. [PMID: 37081228 DOI: 10.1007/s40618-022-01972-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 11/20/2022] [Indexed: 04/22/2023]
Abstract
PURPOSE Prenatal androgen exposure could be a source of early programming, leading to the development of cardiometabolic diseases in later life. In this study, we aimed to examine cardiometabolic disturbances in males exposed to maternal androgen excess during their prenatal life. METHODS In this prospective population-based study, 409 male offspring with maternal hyperandrogenism (MHA), and 954 male offspring without MHA, as controls, were included. Both groups of male offspring were followed from the baseline to the date of the incidence of events, censoring, or end of the study period, whichever came first. Age-scaled unadjusted and adjusted Cox regression models were applied to assess the hazard ratios (HR) and 95% confidence intervals (CIs) for the association between MHA with pre-diabetes mellitus (Pre-DM), type 2 diabetes mellitus (T2DM), pre-hypertension (Pre-HTN), hypertension (HTN), dyslipidemia, overweight, and obesity in the offspring of both groups. Statistical analysis was performed using the STATA software package; the significance level was set at P < 0.05. RESULTS A higher risk of Pre-DM (adjusted HR: 1.46 (1.20, 1.78)) was observed in male offspring with MHA after adjustment for potential confounders, including body mass index, education, and physical activity. However, no significant differences were observed in the risk of T2DM, Pre-HTN, HTN, dyslipidemia, overweight, and obesity in males with MHA compared to controls in both the unadjusted and adjusted models. CONCLUSION Maternal androgen excess increases the risk of Pre-DM in male offspring in later life. More longitudinal studies with long enough follow-up are needed to clarify the effects of MHA on the cardiometabolic risk factors of male offspring in later life.
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Affiliation(s)
- M Farhadi-Azar
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 23 Arabi, Yaman Street, VelenjakTehran, 1985717413, Iran
| | - M Noroozzadeh
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 23 Arabi, Yaman Street, VelenjakTehran, 1985717413, Iran.
| | - M Ghahremani
- Department of Obstetrics and Gynecology, Education Program in Reproduction and Development, Monash University, Melbourne, VIC, Australia
| | - M Rahmati
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 23 Arabi, Yaman Street, VelenjakTehran, 1985717413, Iran
| | - M Saei Ghare Naz
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 23 Arabi, Yaman Street, VelenjakTehran, 1985717413, Iran
| | - F Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - F Ramezani Tehrani
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 23 Arabi, Yaman Street, VelenjakTehran, 1985717413, Iran
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14
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Semnani A, Kazerouni F, Kalbasi S, Shahrokhi SZ, Rahimipour A. The association study between changes in HbA1C with rs2250486 and rs67238751 genetic variants for SLC47A1 in newly diagnosed Iranian patients with type 2 diabetes mellitus: 6 months follow-up study. Endocrinol Diabetes Metab 2023; 6:e410. [PMID: 36786075 PMCID: PMC10164423 DOI: 10.1002/edm2.410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/24/2022] [Accepted: 01/28/2023] [Indexed: 02/15/2023] Open
Abstract
OBJECTIVES One of the most well-known oral medications for the treatment of T2DM is metformin. Variants have been found in studies to be useful in detecting new genes connected to T2DM aetiology and affecting metformin's mechanism of action. In this research, we aimed to study two variations of the SLC47A1 gene; rs2250486 and rs67238751, in T2DM patients who had been taking metformin for the first 6 months after the diagnosis in the Iranian population for the first time. DESIGN AND METHODS A total of 200 individuals were recruited for the study. According to their glycosylated haemoglobin (HbA1c) levels, the patients were divided into two groups: responders (HbA1c levels were reduced by at least 1% after 6 months of metformin treatment.) and non-responders. DNA was extracted from whole blood and genotyped by Tetra ARMS PCR. High-performance liquid chromatography (HPLC) was used to measure HbA1c levels at the start of the treatment and again 6 months later. RESULTS rs2250486 variant in the dominant model reduces the HbA1C levels after 6 months of metformin treatment. In fact, when compared to the T/C + C/C genotypes, the T/T genotype improves HbA1C levels (p-value = .014). Furthermore, in the allelic model, the T allele improves HbA1C levels in comparison to the C allele (p-value = .008). After 6 months of metformin treatment, serum levels of HbA1C in responders were reduced significantly in both groups (T/T and T/C + C/C), (p-value = <.0001). However, the rs67238751 variant did not reveal a meaningful relationship with lower HbA1C levels in any of the models. CONCLUSIONS This study found that the rs2250486 variant could be associated with reducing HbA1C levels while the rs67238751 variant, had no relationship.
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Affiliation(s)
- Armina Semnani
- Department of Clinical Biochemistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Faranak Kazerouni
- Department of Medical Lab Sciences, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeid Kalbasi
- Department of Clinical Endocrinology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyedeh Zahra Shahrokhi
- Department of Biochemistry, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
| | - Ali Rahimipour
- Department of Clinical Biochemistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Wuni R, Ventura EF, Curi-Quinto K, Murray C, Nunes R, Lovegrove JA, Penny M, Favara M, Sanchez A, Vimaleswaran KS. Interactions between genetic and lifestyle factors on cardiometabolic disease-related outcomes in Latin American and Caribbean populations: A systematic review. Front Nutr 2023; 10:1067033. [PMID: 36776603 PMCID: PMC9909204 DOI: 10.3389/fnut.2023.1067033] [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: 10/11/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
Introduction The prevalence of cardiometabolic diseases has increased in Latin American and the Caribbean populations (LACP). To identify gene-lifestyle interactions that modify the risk of cardiometabolic diseases in LACP, a systematic search using 11 search engines was conducted up to May 2022. Methods Eligible studies were observational and interventional studies in either English, Spanish, or Portuguese. A total of 26,171 publications were screened for title and abstract; of these, 101 potential studies were evaluated for eligibility, and 74 articles were included in this study following full-text screening and risk of bias assessment. The Appraisal tool for Cross-Sectional Studies (AXIS) and the Risk Of Bias In Non-Randomized Studies-of Interventions (ROBINS-I) assessment tool were used to assess the methodological quality and risk of bias of the included studies. Results We identified 122 significant interactions between genetic and lifestyle factors on cardiometabolic traits and the vast majority of studies come from Brazil (29), Mexico (15) and Costa Rica (12) with FTO, APOE, and TCF7L2 being the most studied genes. The results of the gene-lifestyle interactions suggest effects which are population-, gender-, and ethnic-specific. Most of the gene-lifestyle interactions were conducted once, necessitating replication to reinforce these results. Discussion The findings of this review indicate that 27 out of 33 LACP have not conducted gene-lifestyle interaction studies and only five studies have been undertaken in low-socioeconomic settings. Most of the studies were cross-sectional, indicating a need for longitudinal/prospective studies. Future gene-lifestyle interaction studies will need to replicate primary research of already studied genetic variants to enable comparison, and to explore the interactions between genetic and other lifestyle factors such as those conditioned by socioeconomic factors and the built environment. The protocol has been registered on PROSPERO, number CRD42022308488. Systematic review registration https://clinicaltrials.gov, identifier CRD420223 08488.
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Affiliation(s)
- Ramatu Wuni
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
| | - Eduard F Ventura
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
| | | | - Claudia Murray
- Department of Real Estate and Planning, University of Reading, Reading, United Kingdom
| | - Richard Nunes
- Department of Real Estate and Planning, University of Reading, Reading, United Kingdom
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom
| | - Mary Penny
- Instituto de Investigación Nutricional, Lima, Peru
| | - Marta Favara
- Oxford Department of International Development, University of Oxford, Oxford, United Kingdom
| | - Alan Sanchez
- Grupo de Análisis para el Desarrollo (GRADE), Lima, Peru
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading, United Kingdom.,Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading, United Kingdom
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16
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Fraszczyk E, Thio CHL, Wackers P, Dollé MET, Bloks VW, Hodemaekers H, Picavet HS, Stynenbosch M, Verschuren WMM, Snieder H, Spijkerman AMW, Luijten M. DNA methylation trajectories and accelerated epigenetic aging in incident type 2 diabetes. GeroScience 2022; 44:2671-2684. [PMID: 35947335 PMCID: PMC9768051 DOI: 10.1007/s11357-022-00626-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 07/19/2022] [Indexed: 01/07/2023] Open
Abstract
DNA methylation (DNAm) patterns across the genome changes during aging and development of complex diseases including type 2 diabetes (T2D). Our study aimed to estimate DNAm trajectories of CpG sites associated with T2D, epigenetic age (DNAmAge), and age acceleration based on four epigenetic clocks (GrimAge, Hannum, Horvath, phenoAge) in the period 10 years prior to and up to T2D onset. In this nested case-control study within Doetinchem Cohort Study, we included 132 incident T2D cases and 132 age- and sex-matched controls. DNAm was measured in blood using the Illumina Infinium Methylation EPIC array. From 107 CpG sites associated with T2D, 10 CpG sites (9%) showed different slopes of DNAm trajectories over time (p < 0.05) and an additional 8 CpG sites (8%) showed significant differences in DNAm levels (at least 1%, p-value per time point < 0.05) at all three time points with nearly parallel trajectories between incident T2D cases and controls. In controls, age acceleration levels were negative (slower epigenetic aging), while in incident T2D cases, levels were positive, suggesting accelerated aging in the case group. We showed that DNAm levels at specific CpG sites, up to 10 years before T2D onset, are different between incident T2D cases and healthy controls and distinct patterns of clinical traits over time may have an impact on those DNAm profiles. Up to 10 years before T2D diagnosis, cases manifested accelerated epigenetic aging. Markers of biological aging including age acceleration estimates based on Horvath need further investigation to assess their utility for predicting age-related diseases including T2D.
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Affiliation(s)
- Eliza Fraszczyk
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Chris H L Thio
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Paul Wackers
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Vincent W Bloks
- Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Hennie Hodemaekers
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - H Susan Picavet
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Marjolein Stynenbosch
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Annemieke M W Spijkerman
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Mirjam Luijten
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
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Importance of Heparan Sulfate Proteoglycans in Pancreatic Islets and β-Cells. Int J Mol Sci 2022; 23:ijms232012082. [PMID: 36292936 PMCID: PMC9603760 DOI: 10.3390/ijms232012082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 09/20/2022] [Indexed: 12/15/2022] Open
Abstract
β-cells in the islets of Langerhans of the pancreas secrete insulin in response to the glucose concentration in the blood. When these pancreatic β-cells are damaged, diabetes develops through glucose intolerance caused by insufficient insulin secretion. High molecular weight polysaccharides, such as heparin and heparan sulfate (HS) proteoglycans, and HS-degrading enzymes, such as heparinase, participate in the protection, maintenance, and enhancement of the functions of pancreatic islets and β-cells, and the demand for studies on glycobiology within the field of diabetes research has increased. This review introduces the roles of complex glycoconjugates containing high molecular weight polysaccharides and their degrading enzymes in pancreatic islets and β-cells, including those obtained in studies conducted by us earlier. In addition, from the perspective of glycobiology, this study proposes the possibility of application to diabetes medicine.
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Hosseinpour-Niazi S, Mirmiran P, Hosseini S, Hadaegh F, Ainy E, Daneshpour MS, Azizi F. Effect of TCF7L2 on the relationship between lifestyle factors and glycemic parameters: a systematic review. Nutr J 2022; 21:59. [PMID: 36155628 PMCID: PMC9511734 DOI: 10.1186/s12937-022-00813-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 09/14/2022] [Indexed: 11/12/2022] Open
Abstract
Background Among candidate genes related to type 2 diabetes (T2DM), one of the strongest genes is Transcription factor 7 like 2 (TCF7L2), regarding the Genome-Wide Association Studies. We aimed to conduct a systematic review of the literature on the modification effect of TCF7L2 on the relation between glycemic parameters and lifestyle factors. Methods A systematic literature search was done for relevant publications using electronic databases, including PubMed, EMBASE, Scopus, and Web of Science, from January 1, 2000, to November 2, 2021. Results Thirty-eight studies (16 observational studies, six meal test trials, and 16 randomized controlled trials (RCTs)) were included. Most observational studies had been conducted on participants with non-diabetes showing that TCF7L2 modified the association between diet (fatty acids and fiber) and insulin resistance. In addition, findings from meal test trials showed that, compared to non-risk-allele carriers, consumption of meals with different percentages of total dietary fat in healthy risk-allele carriers increased glucose concentrations and impaired insulin sensitivity. However, ten RCTs, with intervention periods of less than ten weeks and more than one year, showed that TCF7L2 did not modify glycemic parameters in response to a dietary intervention involving different macronutrients. However, two weight loss dietary RCTs with more than 1-year duration showed that serum glucose and insulin levels decreased and insulin resistance improved in non-risk allele subjects with overweight/obesity. Regarding artichoke extract supplementation (ALE), two RCTs observed that ALE supplementation significantly decreased insulin concentration and improved insulin resistance in the TT genotype of the rs7903146 variant of TCF7L2. In addition, four studies suggested that physical activity levels and smoking status modified the association between TCF7L2 and glycemic parameters. However, three studies observed no effect of TCF7L2 on glycemic parameters in participants with different levels of physical activity and smoking status. Conclusion The modification effects of TCF7L2 on the relation between the lifestyle factors (diet, physical activity, and smoking status) and glycemic parameters were contradictory. PROSPERO registration number CRD42020196327 Supplementary Information The online version contains supplementary material available at 10.1186/s12937-022-00813-w.
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Affiliation(s)
- Somayeh Hosseinpour-Niazi
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Shabnam Hosseini
- School of Human Nutrition, Faculty of Agricultural and Environmental Sciences, McGill University, Montreal, Quebec, Canada
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elaheh Ainy
- Department of Vice Chancellor Research Affairs, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S Daneshpour
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Ning C, Jiao Y, Wang J, Li W, Zhou J, Lee YC, Ma DL, Leung CH, Zhu R, David Wang HM. Recent advances in the managements of type 2 diabetes mellitus and natural hypoglycemic substances. FOOD SCIENCE AND HUMAN WELLNESS 2022. [DOI: 10.1016/j.fshw.2022.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Jung IR, Anokye-Danso F, Jin S, Ahima RS, Kim SF. IPMK modulates hepatic glucose production and insulin signaling. J Cell Physiol 2022; 237:3421-3432. [PMID: 35822903 DOI: 10.1002/jcp.30827] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/13/2022] [Accepted: 06/24/2022] [Indexed: 11/06/2022]
Abstract
Hepatic glucose production (HGP) is crucial for the maintenance of normal glucose homeostasis. Although hepatic insulin resistance contributes to excessive glucose production, its mechanism is not well understood. Here, we show that inositol polyphosphate multikinase (IPMK), a key enzyme in inositol polyphosphate biosynthesis, plays a role in regulating hepatic insulin signaling and gluconeogenesis both in vitro and in vivo. IPMK-deficient hepatocytes exhibit decreased insulin-induced activation of Akt-FoxO1 signaling. The expression of messenger RNA levels of phosphoenolpyruvate carboxykinase 1 (Pck1) and glucose 6-phosphatase (G6pc), key enzymes mediating gluconeogenesis, are increased in IPMK-deficient hepatocytes compared to wild type hepatocytes. Importantly, re-expressing IPMK restores insulin sensitivity and alleviates glucose production in IPMK-deficient hepatocytes. Moreover, hepatocyte-specific IPMK deletion exacerbates hyperglycemia and insulin sensitivity in mice fed a high-fat diet, accompanied by an increase in HGP during pyruvate tolerance test and reduction in Akt phosphorylation in IPMK deficient liver. Our results demonstrate that IPMK mediates insulin signaling and gluconeogenesis and may be potentially targeted for treatment of diabetes.
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Affiliation(s)
- Ik-Rak Jung
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Frederick Anokye-Danso
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Sunghee Jin
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Rexford S Ahima
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Sangwon F Kim
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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21
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Kim K, Lee Y, Won S. Relative contributions of the host genome, microbiome, and environment to the metabolic profile. Genes Genomics 2022; 44:1081-1089. [PMID: 35802345 DOI: 10.1007/s13258-022-01277-2] [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] [Received: 11/01/2021] [Accepted: 06/07/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Metabolic syndrome is as a well-known risk factor for cardiovascular disease, which is associated with both genetic and environmental factors. Recently, the microbiome composition has been shown to affect the development of metabolic syndrome. Thus, it is expected that the complex interplay among host genetics, the microbiome, and environmental factors could affect metabolic syndrome. OBJECTIVE To evaluate the relative contributions of genetic, microbiome, and environmental factors to metabolic syndrome using statistical approaches. METHODS Data from the prospective Korean Association REsource project cohort (N = 8476) were used in this study, including single-nucleotide polymorphisms, phenotypes and lifestyle factors, and the urine-derived microbial composition. The effect of each data source on metabolic phenotypes was evaluated using a heritability estimation approach and a prediction model separately. We further experimented with various types of metagenomic relationship matrices to estimate the phenotypic variance explained by the microbiome. RESULTS With the heritability estimation, five of the 11 metabolic phenotypes were significantly associated with metagenome-wide similarity. We found significant heritability for fasting glucose (4.8%), high-density lipoprotein cholesterol (4.9%), waist-hip ratio (7.7%), and waist circumference (5.6%). Microbiome compositions provided more accurate estimations than genetic factors for the same sample size. In the prediction model, the contribution of each source to the prediction accuracy varied for each phenotype. CONCLUSION The effects of host genetics, the metagenome, and environmental factors on metabolic syndrome were minimal. Our statistical analysis suffers from a small sample size, and the measurement error is expected to be substantial. Further analysis is necessary to quantify the effects with better accuracy.
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Affiliation(s)
- Kangjin Kim
- Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Yunhwan Lee
- Department of Public Health Sciences, Seoul National University, 1 Kwanak-ro Kwanak-gu, Seoul, 151-742, South Korea
| | - Sungho Won
- Institute of Health and Environment, Seoul National University, Seoul, South Korea.
- Department of Public Health Sciences, Seoul National University, 1 Kwanak-ro Kwanak-gu, Seoul, 151-742, South Korea.
- Interdisciplinary Program for Bioinformatics, College of Natural Science, Seoul National University, Seoul, South Korea.
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22
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Abaj F, Rafiee M, Koohdani F. A Personalized Diet Approach Study: Interaction between PPAR-γ Pro12Ala and Dietary Insulin Indices on Metabolic Markers in Diabetic Patients. J Hum Nutr Diet 2022; 35:663-674. [PMID: 35560467 DOI: 10.1111/jhn.13033] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/05/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND The objectives were to investigate the effect of the interaction between peroxisome proliferator-activated receptor gamma (PPAR-γ) Pro12Ala polymorphisms and dietary insulin load and insulin index (DIL and DII) on Cardio-metabolic Markers among diabetic patients. METHODS This cross-sectional study was conducted on 393 diabetic patients. Food-frequency questionnaire (FFQ) was used for DIL and DII calculation. PPAR-γ Pro12Ala was genotyped by the PCR-RFLP method. Biochemical markers including TC, LDL, HDL, TG, SOD, CRP, TAC, PTX3, PGF2α. IL18, leptin and ghrelin were measured by standard protocol. RESULT Risk-allele carriers (CG, GG) had higher obesity indices WC (P interaction =0.04), BMI (P interaction =0.006) and, WC (P interaction =0.04) compared with individuals with the CC genotype when they consumed a diet with higher DIL and DII respectively. Besides, carriers of the G allele who were in the highest tertile of DIL, had lower HDL (P interaction =0.04) and higher PGF2α (P interaction =0.03) and PTX3 (P interaction =0.03). Moreover, the highest tertile of the DII, showed an increase in IL18 (P interaction =0.01) and lower SOD (P interaction =0.03) for risk allele carriers compared to those with CC homozygotes. CONCLUSION We revealed PPAR-γ Pro12Ala polymorphism was able to intensify the effect of DIL and DII on CVD risk factors; risk-allele carriers who consumed a diet with high DIL and DII score have more likely to be obese and have higher inflammatory markers. Also, protective factor against CVD risk factors were reduced significantly in this group compared to CC homozygotes. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Faezeh Abaj
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Masoumeh Rafiee
- Department of Clinical Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences (IUMS), Isfahan, Iran
| | - Fariba Koohdani
- Department of Cellular, Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
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23
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Lim JE, Kang JO, Ha TW, Jung HU, Kim DJ, Baek EJ, Kim HK, Chung JY, Rhee SY, Kim MK, Kim YJ, Park T, Oh B. Gene-environment interaction in type 2 diabetes in Korean cohorts: Interaction of a type 2 diabetes polygenic risk score with triglyceride and cholesterol on fasting glucose levels. Genet Epidemiol 2022; 46:285-302. [PMID: 35481584 DOI: 10.1002/gepi.22454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 02/18/2022] [Accepted: 03/15/2022] [Indexed: 11/08/2022]
Abstract
Type 2 diabetes (T2D) is caused by genetic and environmental factors as well as gene-environment interactions. However, these interactions have not been systematically investigated. We analyzed these interactions for T2D and fasting glucose levels in three Korean cohorts, HEXA, KARE, and CAVAS, using the baseline data with a multiple regression model. Two polygenic risk scores for T2D (PRST2D ) and fasting glucose (PRSFG ) were calculated using 488 and 82 single nucleotide polymorphisms (SNP) for T2D and fasting glucose, respectively, which were extracted from large-scaled genome-wide association studies with multiethnic data. Both lifestyle risk factors and T2D-related biochemical measurements were assessed. The effect of interactions between PRST2D -triglyceride (TG) and PRST2D -total cholesterol (TC) on fasting glucose levels was observed as follows: β ± SE = 0.0005 ± 0.0001, p = 1.06 × 10-19 in HEXA, β ± SE = 0.0008 ± 0.0001, p = 2.08 × 10-8 in KARE for TG; β ± SE = 0.0006 ± 0.0001, p = 2.00 × 10-6 in HEXA, β ± SE = 0.0020 ± 0.0004, p = 2.11 × 10-6 in KARE, β ± SE = 0.0007 ± 0.0004, p = 0.045 in CAVAS for TC. PRST2D -based classification of the participants into four groups showed that the fasting glucose levels in groups with higher PRST2D were more adversely affected by both the TG and TC. In conclusion, blood TG and TC levels may affect the fasting glucose level through interaction with T2D genetic factors, suggesting the importance of consideration of gene-environment interaction in the preventive medicine of T2D.
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Affiliation(s)
- Ji Eun Lim
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Ji-One Kang
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Tae-Woong Ha
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Hae-Un Jung
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, South Korea
| | - Dong Jun Kim
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, South Korea
| | - Eun Ju Baek
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, South Korea
| | - Han Kyul Kim
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Ju Yeon Chung
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, South Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Mi Kyung Kim
- Department of Preventive Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea.,Institute for Health and Society, Hanyang University, Seoul, Republic of Korea
| | - Yeon-Jung Kim
- Division of Biobank for Health Science, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Taesung Park
- Department of Statistics, Seoul National University, Seoul, Republic of Korea
| | - Bermseok Oh
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
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Wang Y, Pan L, Wan S, Yihuo W, Yang F, He H, Li Z, Yong Z, Shan G. MC4R Gene Polymorphisms Interact With the Urbanized Living Environment on Obesity: Results From the Yi Migrant Study. Front Genet 2022; 13:849138. [PMID: 35495128 PMCID: PMC9046839 DOI: 10.3389/fgene.2022.849138] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 03/22/2022] [Indexed: 11/28/2022] Open
Abstract
Objectives: This study aimed to determine the association of MC4R gene polymorphisms (rs17782313 and rs12970134) and urbanized living environment and the gene–environment interaction with obesity in Yi people in China. Methods: A 1:2 frequency-matched case–control study based on the cross-sectional data was designed. Those with BMI ≥28 kg/m2 were included as the case group. The age- and sex-matched controls were selected from those with BMI <24 kg/m2. Unconditional logistic models were used to determine the association of SNPs with obesity. Additive interaction was evaluated by calculating relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (SI). Results: A total of 322 cases and 643 controls were included. After adjustment, allele C of rs17782313 was significantly associated with obesity (additive model, OR = 1.52, 95%CI: 1.18–1.96) in Yi people. A similar association was found in allele A of rs12970134 (additive model, OR = 1.45, 95%CI: 1.13–1.89). Yi rural-to-urban migrants were found at 2.59-fold (95%CI: 1.70–3.95) higher odds of obesity than Yi farmers. Additive interactions were found between the two SNPs and rural-to-urban migration (rs17782313: AP = 0.65, 95%CI: 0.22–1.09; rs12970134: AP = 0.59, 95%CI: 0.02–1.17). Conclusion:MC4R gene polymorphisms positively interacted with the urbanized living environment on obesity in Yi people. The effect of the MC4R gene on obesity was modified by the living environment.
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Affiliation(s)
- Ye Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Shaoping Wan
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wuli Yihuo
- Puge Center for Disease Control and Prevention, Liangshan, China
| | - Fang Yang
- Xichang Center for Disease Control and Prevention, Liangshan, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Zheng Li
- Xichang Center for Disease Control and Prevention, Liangshan, China
| | - Zhengping Yong
- Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
- *Correspondence: Guangliang Shan,
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Cefalu WT, Andersen DK, Arreaza-Rubín G, Pin CL, Sato S, Verchere CB, Woo M, Rosenblum ND. Heterogeneity of Diabetes: β-Cells, Phenotypes, and Precision Medicine: Proceedings of an International Symposium of the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases. Diabetes Care 2022; 45:3-22. [PMID: 34782355 PMCID: PMC8753760 DOI: 10.2337/dci21-0051] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 02/03/2023]
Abstract
One hundred years have passed since the discovery of insulin-an achievement that transformed diabetes from a fatal illness into a manageable chronic condition. The decades since that momentous achievement have brought ever more rapid innovation and advancement in diabetes research and clinical care. To celebrate the important work of the past century and help to chart a course for its continuation into the next, the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases recently held a joint international symposium, bringing together a cohort of researchers with diverse interests and backgrounds from both countries and beyond to discuss their collective quest to better understand the heterogeneity of diabetes and thus gain insights to inform new directions in diabetes treatment and prevention. This article summarizes the proceedings of that symposium, which spanned cutting-edge research into various aspects of islet biology, the heterogeneity of diabetic phenotypes, and the current state of and future prospects for precision medicine in diabetes.
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Affiliation(s)
- William T. Cefalu
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Dana K. Andersen
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Guillermo Arreaza-Rubín
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Christopher L. Pin
- Departments of Physiology and Pharmacology, Paediatrics, and Oncology, University of Western Ontario, and Genetics and Development Division, Children’s Health Research Institute, Lawson Health Research Institute, London, Ontario, Canada
| | - Sheryl Sato
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - C. Bruce Verchere
- Departments of Surgery and Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children’s Hospital, Vancouver, British Columbia, Canada
- UBC Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Minna Woo
- Departments of Medicine and Immunology, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, University Health Network and Sinai Health System, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Norman D. Rosenblum
- Canadian Institutes of Health Research Institute of Nutrition, Metabolism and Diabetes, Toronto, Ontario, Canada
- Division of Nephrology, Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
- Program in Stem Cell and Developmental Biology, Research Institute, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
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Wei Y, Liu C, Lai F, Dong S, Chen H, Chen L, Shi L, Zhu F, Zhang C, Lv X, Peng S, Hao G. Associations between serum total bilirubin, obesity and type 2 diabetes. Diabetol Metab Syndr 2021; 13:143. [PMID: 34876211 PMCID: PMC8650363 DOI: 10.1186/s13098-021-00762-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 11/22/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND This study aims to examine the cross-sectional association between serum total bilirubin (STB) and type 2 diabetes (T2D) risk in the general population, and whether obesity could moderate this association. METHODS We used data from the 1999-2018 National Health and Nutrition Examination Surveys (NHANES), including a total of 38,641 US adult participants who were 18 years or older. The STB was classified as the low, moderate, and high groups according to tertiles. RESULTS We found that participants with lower STB had a significantly higher risk of T2D than those with moderate (OR = 0.81; 95% CI 0.74, 0.89; P < 0.001) and high (OR = 0.65; 95% CI 0.59, 0.73; P < 0.001) STB. Also, a significant interaction between body mass index (BMI) and STB on T2D was observed (P < 0.001). Stratified analysis showed that low STB was associated with a 20% and 27% decrease of T2D risk for moderate and high STB groups in obese patients, however, these effect estimates were smaller in the population with lower BMI (< 30 kg/m2). Similar associations of STB with glycohemoglobin and insulin resistance were observed. CONCLUSION This study suggests that STB is associated with an elevated risk of T2D. More importantly, we reported for the first time that BMI may moderate the association between bilirubin and T2D.
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Affiliation(s)
- Yuan Wei
- Center for Scientific Research and Institute of Exercise and Health, Guangzhou Sport University, Guangzhou, 510500, China
| | - Chaoqun Liu
- Department of Nutrition, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Fangfang Lai
- Department of Pediatrics, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, China
| | - Shan Dong
- Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, 510180, China
| | - Haiyan Chen
- Department of Endemic Disease, Guangzhou Center for Disease Control and Prevention, Guangzhou, 510632, China
| | - Li Chen
- Georgia Prevention Institute, Department of Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA
| | - Liping Shi
- Department of Urology, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Fengfeng Zhu
- Department of Hepatobiliary and Pancreas Surgery, The First Affiliated Hospital of University of South China, Hengyang, 421001, China
| | - Chuangbiao Zhang
- Department of Endocrinology, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China
| | - Xiuxiu Lv
- Department of Pathophysiology, School of Medicine, Jinan University, 601 Huangpu Avenue West, Guangzhou, 510632, Guangdong, China.
| | - Shuang Peng
- Department of Pathophysiology, School of Medicine, Jinan University, 601 Huangpu Avenue West, Guangzhou, 510632, Guangdong, China.
| | - Guang Hao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, 601 West Huangpu Ave, Guangzhou, 510632, Guangdong, China.
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Cefalu WT, Andersen DK, Arreaza-Rubín G, Pin CL, Sato S, Verchere CB, Woo M, Rosenblum ND. Heterogeneity of Diabetes: β-Cells, Phenotypes, and Precision Medicine: Proceedings of an International Symposium of the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases. Can J Diabetes 2021; 45:697-713. [PMID: 34794897 DOI: 10.1016/j.jcjd.2021.09.126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 10/19/2022]
Abstract
One hundred years have passed since the discovery of insulin-an achievement that transformed diabetes from a fatal illness into a manageable chronic condition. The decades since that momentous achievement have brought ever more rapid innovation and advancement in diabetes research and clinical care. To celebrate the important work of the past century and help to chart a course for its continuation into the next, the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases recently held a joint international symposium, bringing together a cohort of researchers with diverse interests and backgrounds from both countries and beyond to discuss their collective quest to better understand the heterogeneity of diabetes and thus gain insights to inform new directions in diabetes treatment and prevention. This article summarizes the proceedings of that symposium, which spanned cutting-edge research into various aspects of islet biology, the heterogeneity of diabetic phenotypes, and the current state of and future prospects for precision medicine in diabetes.
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Affiliation(s)
- William T Cefalu
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States.
| | - Dana K Andersen
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States
| | - Guillermo Arreaza-Rubín
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States
| | - Christopher L Pin
- Departments of Physiology and Pharmacology, Paediatrics, and Oncology, University of Western Ontario, and Genetics and Development Division, Children's Health Research Institute, Lawson Health Research Institute, London, Ontario, Canada
| | - Sheryl Sato
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States
| | - C Bruce Verchere
- Departments of Surgery and Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada; BC Children's Hospital, Vancouver, British Columbia, Canada; UBC Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Minna Woo
- Departments of Medicine and Immunology, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, University Health Network and Sinai Health System, Toronto, Ontario, Canada; Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Norman D Rosenblum
- Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes, Toronto, Ontario, Canada; Division of Nephrology, Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada; Program in Stem Cell and Developmental Biology, Research Institute, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
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Cefalu WT, Andersen DK, Arreaza-Rubín G, Pin CL, Sato S, Verchere CB, Woo M, Rosenblum ND. Heterogeneity of Diabetes: β-Cells, Phenotypes, and Precision Medicine: Proceedings of an International Symposium of the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases. Diabetes 2021; 71:db210777. [PMID: 34782351 PMCID: PMC8763877 DOI: 10.2337/db21-0777] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 11/13/2022]
Abstract
One hundred years have passed since the discovery of insulin-an achievement that transformed diabetes from a fatal illness into a manageable chronic condition. The decades since that momentous achievement have brought ever more rapid innovation and advancement in diabetes research and clinical care. To celebrate the important work of the past century and help to chart a course for its continuation into the next, the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases recently held a joint international symposium, bringing together a cohort of researchers with diverse interests and backgrounds from both countries and beyond to discuss their collective quest to better understand the heterogeneity of diabetes and thus gain insights to inform new directions in diabetes treatment and prevention. This article summarizes the proceedings of that symposium, which spanned cutting-edge research into various aspects of islet biology, the heterogeneity of diabetic phenotypes, and the current state of and future prospects for precision medicine in diabetes.
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Affiliation(s)
- William T Cefalu
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Dana K Andersen
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Guillermo Arreaza-Rubín
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Christopher L Pin
- Departments of Physiology and Pharmacology, Paediatrics, and Oncology, University of Western Ontario, and Genetics and Development Division, Children's Health Research Institute, Lawson Health Research Institute, London, Ontario, Canada
| | - Sheryl Sato
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - C Bruce Verchere
- Departments of Surgery and Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- BC Children's Hospital, Vancouver, British Columbia, Canada
- UBC Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Minna Woo
- Departments of Medicine and Immunology, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, University Health Network and Sinai Health System, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
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Brito MDF, Torre C, Silva-Lima B. Scientific Advances in Diabetes: The Impact of the Innovative Medicines Initiative. Front Med (Lausanne) 2021; 8:688438. [PMID: 34295913 PMCID: PMC8290522 DOI: 10.3389/fmed.2021.688438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/02/2021] [Indexed: 12/16/2022] Open
Abstract
Diabetes Mellitus is one of the World Health Organization's priority diseases under research by the first and second programmes of Innovative Medicines Initiative, with the acronyms IMI1 and IMI2, respectively. Up to October of 2019, 13 projects were funded by IMI for Diabetes & Metabolic disorders, namely SUMMIT, IMIDIA, DIRECT, StemBANCC, EMIF, EBiSC, INNODIA, RHAPSODY, BEAT-DKD, LITMUS, Hypo-RESOLVE, IM2PACT, and CARDIATEAM. In general, a total of €447 249 438 was spent by IMI in the area of Diabetes. In order to prompt a better integration of achievements between the different projects, we perform a literature review and used three data sources, namely the official project's websites, the contact with the project's coordinators and co-coordinator, and the CORDIS database. From the 662 citations identified, 185 were included. The data collected were integrated into the objectives proposed for the four IMI2 program research axes: (1) target and biomarker identification, (2) innovative clinical trials paradigms, (3) innovative medicines, and (4) patient-tailored adherence programmes. The IMI funded projects identified new biomarkers, medical and research tools, determinants of inter-individual variability, relevant pathways, clinical trial designs, clinical endpoints, therapeutic targets and concepts, pharmacologic agents, large-scale production strategies, and patient-centered predictive models for diabetes and its complications. Taking into account the scientific data produced, we provided a joint vision with strategies for integrating personalized medicine into healthcare practice. The major limitations of this article were the large gap of data in the libraries on the official project websites and even the Cordis database was not complete and up to date.
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Affiliation(s)
| | - Carla Torre
- Faculty of Pharmacy, University of Lisbon, Lisbon, Portugal.,Laboratory of Systems Integration Pharmacology, Clinical & Regulatory Science-Research Institute for Medicines (iMED.ULisboa), Lisbon, Portugal
| | - Beatriz Silva-Lima
- Faculty of Pharmacy, University of Lisbon, Lisbon, Portugal.,Laboratory of Systems Integration Pharmacology, Clinical & Regulatory Science-Research Institute for Medicines (iMED.ULisboa), Lisbon, Portugal
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Rana S, Sultana A, Bhatti AA. Effect of interaction between obesity-promoting genetic variants and behavioral factors on the risk of obese phenotypes. Mol Genet Genomics 2021; 296:919-938. [PMID: 33966103 DOI: 10.1007/s00438-021-01793-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 04/22/2021] [Indexed: 01/28/2023]
Abstract
The studies investigating gene-gene and gene-environment (or gene-behavior) interactions provide valuable insight into the pathomechanisms underlying obese phenotypes. The Pakistani population due to its unique characteristics offers numerous advantages for conducting such studies. In this view, the current study was undertaken to examine the effects of gene-gene and gene-environment/behavior interactions on the risk of obesity in a sample of Pakistani population. A total of 578 adult participants including 290 overweight/obese cases and 288 normal-weight controls were involved. The five key obesity-associated genetic variants namely MC4R rs17782313, BDNF rs6265, FTO rs1421085, TMEM18 rs7561317, and NEGR1 rs2815752 were genotyped using the TaqMan allelic discrimination assays. The data related to behavioral factors, such as eating pattern, diet consciousness, the tendency toward fat-dense food (TFDF), sleep duration, sleep-wake cycle (SWC), shift work (SW), and physical activity levels were collected via a questionnaire. Gene-gene and gene-behavior interactions were analyzed by multifactor dimensionality reduction and linear regression, respectively. In our study, only TMEM18 rs7561317 was found to be significantly associated with anthropometric traits with no significant effect of gene-gene interactions were observed on obesity-related phenotypes. However, the genetic variants were found to interact with the behavioral factors to significantly influence various obesity-related anthropometric traits including BMI, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio, and percentage of body fat. In conclusion, the interaction between genetic architecture and behavior/environment determines the outcome of obesity-related anthropometric phenotypes. Thus, gene-environment/behavior interaction studies should be promoted to explore the risk of complex and multifactorial disorders, such as obesity.
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Affiliation(s)
- Sobia Rana
- Molecular Biology and Human Genetics Laboratory, Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, 75270, Pakistan.
| | - Ayesha Sultana
- Molecular Biology and Human Genetics Laboratory, Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, 75270, Pakistan
| | - Adil Anwar Bhatti
- Molecular Biology and Human Genetics Laboratory, Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, 75270, Pakistan
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Wu YY, Thompson MD, Youkhana F, Pirkle CM. Interaction Between Physical Activity and Polygenic Score on Type 2 Diabetes Mellitus in Older Black and White Participants From the Health and Retirement Study. J Gerontol A Biol Sci Med Sci 2021; 76:1214-1221. [PMID: 33515027 PMCID: PMC8355465 DOI: 10.1093/gerona/glab025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Indexed: 02/07/2023] Open
Abstract
This study investigated the association of lifestyle factors and polygenic risk scores (PGS), and their interaction, on type 2 diabetes mellitus (T2D). We examined data from the U.S. Health and Retirement Study, a prospective longitudinal cohort of adults aged 50 years and older, containing nationally representative samples of Black and White Americans with precalculated PGS for T2D (N = 14 001). Predicted prevalence and incidence of T2D were calculated with logistic regression models. We calculated differences in T2D prevalence and incidence by PGS percentiles and for interaction variables using nonparametric bootstrap method. Black participants had approximately twice the prevalence of Whites (26.2% vs 14.2%), with a larger difference between the 90th and 10th PGS percentile from age 50 to 80 years. Significant interaction (pinteraction = .0096) was detected between PGS and physical activity among Whites. Among Whites in the 90th PGS percentile, T2D prevalence for moderate physical activity was 17.0% (95% CI: 14.8, 19.6), 6.8% lower compared to no/some physical activity (23.8%; 95% CI: 20.4, 27.5). T2D prevalence was similar (~10%) for both groups in the 10th PGS percentile. Incident T2D in Whites followed a similar pattern (pinteraction = .0325). No significant interactions with PGS were detected among Black participants. Interaction of different genetic risk profiles with lifestyle factors may inform understanding of varying inventions' efficacy for different groups of people, potentially improving clinical and prevention interventions.
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Affiliation(s)
- Yan Yan Wu
- Thompson School of Social Work & Public Health, University of Hawaiʻi at Mānoa, Honolulu, USA
| | - Mika D Thompson
- Thompson School of Social Work & Public Health, University of Hawaiʻi at Mānoa, Honolulu, USA
| | - Fadi Youkhana
- Thompson School of Social Work & Public Health, University of Hawaiʻi at Mānoa, Honolulu, USA
| | - Catherine M Pirkle
- Thompson School of Social Work & Public Health, University of Hawaiʻi at Mānoa, Honolulu, USA
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George MN, Leavens KF, Gadue P. Genome Editing Human Pluripotent Stem Cells to Model β-Cell Disease and Unmask Novel Genetic Modifiers. Front Endocrinol (Lausanne) 2021; 12:682625. [PMID: 34149620 PMCID: PMC8206553 DOI: 10.3389/fendo.2021.682625] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/13/2021] [Indexed: 01/21/2023] Open
Abstract
A mechanistic understanding of the genetic basis of complex diseases such as diabetes mellitus remain elusive due in large part to the activity of genetic disease modifiers that impact the penetrance and/or presentation of disease phenotypes. In the face of such complexity, rare forms of diabetes that result from single-gene mutations (monogenic diabetes) can be used to model the contribution of individual genetic factors to pancreatic β-cell dysfunction and the breakdown of glucose homeostasis. Here we review the contribution of protein coding and non-protein coding genetic disease modifiers to the pathogenesis of diabetes subtypes, as well as how recent technological advances in the generation, differentiation, and genome editing of human pluripotent stem cells (hPSC) enable the development of cell-based disease models. Finally, we describe a disease modifier discovery platform that utilizes these technologies to identify novel genetic modifiers using induced pluripotent stem cells (iPSC) derived from patients with monogenic diabetes caused by heterozygous mutations.
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Affiliation(s)
- Matthew N. George
- Center for Cellular and Molecular Therapeutics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Karla F. Leavens
- Center for Cellular and Molecular Therapeutics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Paul Gadue
- Center for Cellular and Molecular Therapeutics, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- Department of Pathology and Laboratory Medicine, The Children’s Hospital of Philadelphia, Philadelphia, PA, United States
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Dewanjee S, Vallamkondu J, Kalra RS, Chakraborty P, Gangopadhyay M, Sahu R, Medala V, John A, Reddy PH, De Feo V, Kandimalla R. The Emerging Role of HDACs: Pathology and Therapeutic Targets in Diabetes Mellitus. Cells 2021; 10:1340. [PMID: 34071497 PMCID: PMC8228721 DOI: 10.3390/cells10061340] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 05/22/2021] [Accepted: 05/26/2021] [Indexed: 12/22/2022] Open
Abstract
Diabetes mellitus (DM) is one of the principal manifestations of metabolic syndrome and its prevalence with modern lifestyle is increasing incessantly. Chronic hyperglycemia can induce several vascular complications that were referred to be the major cause of morbidity and mortality in DM. Although several therapeutic targets have been identified and accessed clinically, the imminent risk of DM and its prevalence are still ascending. Substantial pieces of evidence revealed that histone deacetylase (HDAC) isoforms can regulate various molecular activities in DM via epigenetic and post-translational regulation of several transcription factors. To date, 18 HDAC isoforms have been identified in mammals that were categorized into four different classes. Classes I, II, and IV are regarded as classical HDACs, which operate through a Zn-based mechanism. In contrast, class III HDACs or Sirtuins depend on nicotinamide adenine dinucleotide (NAD+) for their molecular activity. Functionally, most of the HDAC isoforms can regulate β cell fate, insulin release, insulin expression and signaling, and glucose metabolism. Moreover, the roles of HDAC members have been implicated in the regulation of oxidative stress, inflammation, apoptosis, fibrosis, and other pathological events, which substantially contribute to diabetes-related vascular dysfunctions. Therefore, HDACs could serve as the potential therapeutic target in DM towards developing novel intervention strategies. This review sheds light on the emerging role of HDACs/isoforms in diabetic pathophysiology and emphasized the scope of their targeting in DM for constituting novel interventional strategies for metabolic disorders/complications.
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Affiliation(s)
- Saikat Dewanjee
- Advanced Pharmacognosy Research Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, West Bengal, India;
| | | | - Rajkumar Singh Kalra
- AIST-INDIA DAILAB, National Institute of Advanced Industrial Science & Technology (AIST), Higashi 1-1-1, Tsukuba 305 8565, Japan;
| | - Pratik Chakraborty
- Advanced Pharmacognosy Research Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, West Bengal, India;
| | - Moumita Gangopadhyay
- School of Life Science and Biotechnology, ADAMAS University, Barasat, Kolkata 700126, West Bengal, India;
| | - Ranabir Sahu
- Department of Pharmaceutical Technology, University of North Bengal, Darjeeling 734013, West Bengal, India;
| | - Vijaykrishna Medala
- Applied Biology, CSIR-Indian Institute of Technology, Uppal Road, Tarnaka, Hyderabad 500007, Telangana, India;
| | - Albin John
- Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; (A.J.); (P.H.R.)
| | - P. Hemachandra Reddy
- Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; (A.J.); (P.H.R.)
- Neuroscience & Pharmacology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Neurology, Departments of School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Public Health Department of Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Department of Speech, Language and Hearing Sciences, School Health Professions, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Vincenzo De Feo
- Department of Pharmacy, University of Salerno, 84084 Fisciano, Italy
| | - Ramesh Kandimalla
- Applied Biology, CSIR-Indian Institute of Technology, Uppal Road, Tarnaka, Hyderabad 500007, Telangana, India;
- Department of Biochemistry, Kakatiya Medical College, Warangal 506007, Telangana, India
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Greenup E, Sunil B, Barr MM, Ashraf AP. Glycaemic control and outcomes in children with type 2 diabetes diagnosed at or before 10 years of age. Endocrinol Diabetes Metab 2021; 4:e00192. [PMID: 33855201 PMCID: PMC8029508 DOI: 10.1002/edm2.192] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 10/01/2020] [Accepted: 10/04/2020] [Indexed: 12/30/2022] Open
Abstract
Background Type 2 diabetes (T2DM) in children is considered rare before puberty. Objective Describe the characteristics and outcomes of children with T2DM diagnosed at or before 10 years of age. Methods Retrospective electronic medical record review of children diagnosed with T2DM at a University Children's Hospital over 12 years was conducted. Patient characteristics at diagnosis, 2-3-year follow-up, and 4-5-year follow-up were analysed as a whole and by age groups, 5-8 and 9-10 years. Results There were 42 children ≤ 10 years with T2DM (5-8-year age group, n = 8 and 9-10-year age group, n = 34). There were 88.1% African American, 11.9% Caucasian, and 88.1% females. Body mass index (BMI) was ≥95th percentile in 95.2%. Average BMI z score was 2.5 ± 0.4 and higher in the 5-8-year age group (2.7 ± 0.5 vs 2.4 ± 0.4, P = .02). Average haemoglobin A1C at diagnosis was 10.5 ± 2.4%, and improvement was seen at 2-3 years, but subsequent worsening was noted at 4-5 years in both age groups. At 4-5 years after diagnosis, 93.9% required insulin for management of their hyperglycaemia, 21.2% had hypertension requiring treatment, 28.6% had low-density lipoprotein ≥130 mg/dL, and 28.6% had high-density lipoprotein <40 mg/dL. Conclusions T2DM at or below 10 years of age disproportionately affected females and ethnic minorities and was associated with morbid obesity. The majority of these children did not achieve glycaemic control and required insulin for management of their hyperglycaemia after 4-5 years, indicating the need for increased awareness of T2DM and intensive treatment in this special group.
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Affiliation(s)
- Erin Greenup
- Department of Pediatrics/Division of Pediatric Endocrinology and DiabetesUniversity of Alabama at BirminghamBirminghamALUSA
| | - Bhuvana Sunil
- Department of Pediatrics/Division of Pediatric Endocrinology and DiabetesUniversity of Alabama at BirminghamBirminghamALUSA
| | - Mary Margaret Barr
- University of Alabama School of MedicineUniversity of Alabama at BirminghamBirminghamALUSA
| | - Ambika P. Ashraf
- Department of Pediatrics/Division of Pediatric Endocrinology and DiabetesUniversity of Alabama at BirminghamBirminghamALUSA
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Bennet L, Udumyan R, Östgren CJ, Rolandsson O, Jansson SPO, Wändell P. Mortality in first- and second-generation immigrants to Sweden diagnosed with type 2 diabetes: a 10 year nationwide cohort study. Diabetologia 2021; 64:95-108. [PMID: 32979073 PMCID: PMC7716891 DOI: 10.1007/s00125-020-05279-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 08/11/2020] [Indexed: 12/23/2022]
Abstract
AIMS/HYPOTHESIS Non-Western immigrants to Europe are at high risk for type 2 diabetes. In this nationwide study including incident cases of type 2 diabetes, the aim was to compare all-cause mortality (ACM) and cause-specific mortality (CSM) rates in first- and second-generation immigrants with native Swedes. METHODS People living in Sweden diagnosed with new-onset pharmacologically treated type 2 diabetes between 2006 and 2012 were identified through the Swedish Prescribed Drug Register. They were followed until 31 December 2016 for ACM and until 31 December 2012 for CSM. Analyses were adjusted for age at diagnosis, sex, socioeconomic status, education, treatment and region. Associations were assessed using Cox regression analysis. RESULTS In total, 138,085 individuals were diagnosed with type 2 diabetes between 2006 and 2012 and fulfilled inclusion criteria. Of these, 102,163 (74.0%) were native Swedes, 28,819 (20.9%) were first-generation immigrants and 7103 (5.1%) were second-generation immigrants with either one or both parents born outside Sweden. First-generation immigrants had lower ACM rate (HR 0.80 [95% CI 0.76, 0.84]) compared with native Swedes. The mortality rates were particularly low in people born in non-Western regions (0.46 [0.42, 0.50]; the Middle East, 0.41 [0.36, 0.47]; Asia, 0.53 [0.43, 0.66]; Africa, 0.47 [0.38, 0.59]; and Latin America, 0.53 [0.42, 0.68]). ACM rates decreased with older age at migration and shorter stay in Sweden. Compared with native Swedes, first-generation immigrants with ≤ 24 years in Sweden (0.55 [0.51, 0.60]) displayed lower ACM rates than those spending >24 years in Sweden (0.92 [0.87, 0.97]). Second-generation immigrants did not have better survival rates than native Swedes but rather displayed higher ACM rates for people with both parents born abroad (1.28 [1.05, 1.56]). CONCLUSIONS/INTERPRETATION In people with type 2 diabetes, the lower mortality rate in first-generation non-Western immigrants compared with native Swedes was reduced over time and was equalised in second-generation immigrants. These findings suggest that acculturation to Western culture may impact ACM and CSM in immigrants with type 2 diabetes but further investigation is needed. Graphical abstract.
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Affiliation(s)
- Louise Bennet
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.
- Department of Family Medicine, Lund University, Malmö, Sweden.
| | - Ruzan Udumyan
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Carl Johan Östgren
- Department of Health, Medicine and Caring Sciences, General Practice, Linköping University, Linköping, Sweden
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Stefan P O Jansson
- Institution of Medical Sciences, University Health Care Research Center, Örebro University, Örebro, Sweden
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Per Wändell
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
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Sharma A, Mittal S, Aggarwal R, Chauhan MK. Diabetes and cardiovascular disease: inter-relation of risk factors and treatment. FUTURE JOURNAL OF PHARMACEUTICAL SCIENCES 2020. [DOI: 10.1186/s43094-020-00151-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Abstract
Background
The diabetes mellitus prevalence is still advancing and increasingly becoming one of the globally most severe and expensive chronic illnesses. The strong correlation between diabetes as well as the most prominent reason for diabetes and death in diabetic patients is cardiovascular disorders. Health conditions like dyslipidemia, hypertension, obesity, and other factors of risk like the risk of cardiovascular are frequent in diabetic persons and raise the likelihood of heart attacks.
Main text
In particular, several researchers have found diabetes mellitus-related biochemical pathways that raise the likelihood of cardiovascular disorder in people with diabetes individually. This review describes diabetes-cardiovascular disorder relationships, explores potential therapeutic mechanisms, addresses existing treatment, care, and describes the directions for the future for study.
Conclusion
Thus, in individuals with diabetes, it is important to concentrate on cardiovascular threat variables to reduce the illness’s lasting cardiovascular complications. Further work to enhance knowledge of the disease state and its impact on cardiovascular function is required to boost medical treatment and cardiovascular disorders result in people with diabetes.
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Abstract
Precision medicine refers to the tailoring of medical treatment for an individual based on large amounts of biologic and extrinsic data. The fast advancing fields of molecular biology, gene sequencing, machine learning, and other technologies enable precision medicine to utilize this detailed information to enhance clinical management decision-making for an individual in the real time of the disease course. Traditional clinical decision making is based on reacting to a relatively limited number of phenotypes that are determined by history, physical examination, and conventional lab tests. Precision medicine depends on highly detailed profiling of the patient's genetic, morphologic, and metabolic makeup. The precision medicine approach can be applied to individuals with diabetes to select treatments most likely to offer benefit and least likely to cause side effects, offering prospects of improved clinical outcomes and economic costs savings over current empiric practices. As genetic, metabolomic, immunologic, and other sophisticated testing becomes less expensive and more widespread in the medical record, it is expected that precision medicine will become increasingly applied to diabetes care.
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Affiliation(s)
- David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
- David C. Klonoff, MD, FACP, FRCP (Edin), Diabetes Research Institute, Mills-Peninsula Medical Center, 100 South San Mateo Drive, Room 5147, San Mateo, CA 94401, USA.
| | - Jose C. Florez
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Michael German
- Department of Medicine, University of California San Francisco, CA, USA
- Diabetes Center, University of California San Francisco, CA, USA
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, CA, USA
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Lalrohlui F, Zohmingthanga J, Hruaii V, Vanlallawma A, Senthil Kumar N. Whole exome sequencing identifies the novel putative gene variants related with type 2 diabetes in Mizo population, northeast India. Gene 2020; 769:145229. [PMID: 33059026 DOI: 10.1016/j.gene.2020.145229] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 09/30/2020] [Accepted: 10/07/2020] [Indexed: 11/30/2022]
Abstract
The contribution of genes towards T2D development varies among different population groups across the world. It has been reported that a number of loci involved in T2D susceptibility are common across certain population groups, but ethnicity specific variants are also observed. The population of Mizoram has an independent ethnic identity and there are no scientific records about the history of the Mizo people; which makes this ethnic group unique and interesting to study. The aim of the study focuses on the identification of the gene variants which may contribute to T2D susceptibility in Mizo-Mongloid ethnic tribe of North east India through whole exome sequencing. The variants like 328G > C (KRT18), 997G > T (CYP4A11), 2368 T > C (SLC4A3), 508G > A (SLC26A5), 1659C > T (KCNS1), 650C > A (ABCD1) 821A > T (YTHDC2), 931G > T (PINX1), 3280C > A (TNRC6A), 48C > A(TACO1), 6035A > T(LAMA1), 805C > A(ACP7) and 806A > G(ACP7) variants were not reported for any disease in the database and were found to be pathogenic in different insilico analysis softwares. The changes in protein stability upon mutation has been predicted where 35.71% increases the stability of the protein, while 64.28% of the variants decrease the stability of the protein. These findings present the population specific variants which might involve in the susceptibility to T2D in Mizo population. Further, in this study some gene variants have contribution as a possible diagnostic or prognostic marker for other diseases as well, which suggests the need for performing association analysis for different disease manifestations in Mizo population in the near future.
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Affiliation(s)
- Freda Lalrohlui
- Department of Biotechnology, Mizoram University, Aizawl 796004, Mizoram, India
| | | | - Vanlal Hruaii
- Department of Medicine, Zoram Medical College, Aizawl 796005, Mizoram, India
| | - Andrew Vanlallawma
- Department of Biotechnology, Mizoram University, Aizawl 796004, Mizoram, India
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Olsson T, Goedecke JH. Obesity and type 2 diabetes: understanding the role of ethnicity. J Intern Med 2020; 288:269-270. [PMID: 32191364 DOI: 10.1111/joim.13043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- T Olsson
- From the, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - J H Goedecke
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
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Pathophysiology of Type 2 Diabetes Mellitus. Int J Mol Sci 2020; 21:ijms21176275. [PMID: 32872570 PMCID: PMC7503727 DOI: 10.3390/ijms21176275] [Citation(s) in RCA: 908] [Impact Index Per Article: 227.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 08/26/2020] [Accepted: 08/28/2020] [Indexed: 02/07/2023] Open
Abstract
Type 2 Diabetes Mellitus (T2DM), one of the most common metabolic disorders, is caused by a combination of two primary factors: defective insulin secretion by pancreatic β-cells and the inability of insulin-sensitive tissues to respond appropriately to insulin. Because insulin release and activity are essential processes for glucose homeostasis, the molecular mechanisms involved in the synthesis and release of insulin, as well as in its detection are tightly regulated. Defects in any of the mechanisms involved in these processes can lead to a metabolic imbalance responsible for the development of the disease. This review analyzes the key aspects of T2DM, as well as the molecular mechanisms and pathways implicated in insulin metabolism leading to T2DM and insulin resistance. For that purpose, we summarize the data gathered up until now, focusing especially on insulin synthesis, insulin release, insulin sensing and on the downstream effects on individual insulin-sensitive organs. The review also covers the pathological conditions perpetuating T2DM such as nutritional factors, physical activity, gut dysbiosis and metabolic memory. Additionally, because T2DM is associated with accelerated atherosclerosis development, we review here some of the molecular mechanisms that link T2DM and insulin resistance (IR) as well as cardiovascular risk as one of the most important complications in T2DM.
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Borse SP, Chhipa AS, Sharma V, Singh DP, Nivsarkar M. Management of Type 2 Diabetes: Current Strategies, Unfocussed Aspects, Challenges, and Alternatives. Med Princ Pract 2020; 30:109-121. [PMID: 32818934 PMCID: PMC8114074 DOI: 10.1159/000511002] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 08/19/2020] [Indexed: 12/13/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) accounts for >90% of the cases of diabetes in adults. Resistance to insulin action is the major cause that leads to chronic hyperglycemia in diabetic patients. T2DM is the consequence of activation of multiple pathways and factors involved in insulin resistance and β-cell dysfunction. Also, the etiology of T2DM involves the complex interplay between genetics and environmental factors. This interplay can be governed efficiently by lifestyle modifications to achieve better management of diabetes. The present review aims at discussing the major factors involved in the development of T2DM that remain unfocussed during the anti-diabetic therapy. The review also focuses on lifestyle modifications that are warranted for the successful management of T2DM. In addition, it attempts to explain flaws in current strategies to combat diabetes. The employability of phytoconstituents as multitargeting molecules and their potential use as effective therapeutic adjuvants to first line hypoglycemic agents to prevent side effects caused by the synthetic drugs are also discussed.
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Affiliation(s)
- Swapnil P Borse
- AYUSH-Center of Excellence, Center for Complementary and Integrative Health (CCIH), Interdisciplinary School of Health Sciences, Savitribai Phule Pune University (SPPU), Pune, India
- Department of Pharmacology and Toxicology, B. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Thaltej, India
| | - Abu Sufiyan Chhipa
- Department of Pharmacology and Toxicology, B. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Thaltej, India
- Institute of Pharmacy, Nirma University, Ahmedabad, India
| | - Vipin Sharma
- Translational Health Science and Technology Institute, Faridabad, India
| | | | - Manish Nivsarkar
- Department of Pharmacology and Toxicology, B. V. Patel Pharmaceutical Education and Research Development (PERD) Centre, Thaltej, India,
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Musacchio N, Giancaterini A, Guaita G, Ozzello A, Pellegrini MA, Ponzani P, Russo GT, Zilich R, de Micheli A. Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists. J Med Internet Res 2020; 22:e16922. [PMID: 32568088 PMCID: PMC7338925 DOI: 10.2196/16922] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 03/09/2020] [Accepted: 04/12/2020] [Indexed: 12/24/2022] Open
Abstract
Since the last decade, most of our daily activities have become digital. Digital health takes into account the ever-increasing synergy between advanced medical technologies, innovation, and digital communication. Thanks to machine learning, we are not limited anymore to a descriptive analysis of the data, as we can obtain greater value by identifying and predicting patterns resulting from inductive reasoning. Machine learning software programs that disclose the reasoning behind a prediction allow for “what-if” models by which it is possible to understand if and how, by changing certain factors, one may improve the outcomes, thereby identifying the optimal behavior. Currently, diabetes care is facing several challenges: the decreasing number of diabetologists, the increasing number of patients, the reduced time allowed for medical visits, the growing complexity of the disease both from the standpoints of clinical and patient care, the difficulty of achieving the relevant clinical targets, the growing burden of disease management for both the health care professional and the patient, and the health care accessibility and sustainability. In this context, new digital technologies and the use of artificial intelligence are certainly a great opportunity. Herein, we report the results of a careful analysis of the current literature and represent the vision of the Italian Association of Medical Diabetologists (AMD) on this controversial topic that, if well used, may be the key for a great scientific innovation. AMD believes that the use of artificial intelligence will enable the conversion of data (descriptive) into knowledge of the factors that “affect” the behavior and correlations (predictive), thereby identifying the key aspects that may establish an improvement of the expected results (prescriptive). Artificial intelligence can therefore become a tool of great technical support to help diabetologists become fully responsible of the individual patient, thereby assuring customized and precise medicine. This, in turn, will allow for comprehensive therapies to be built in accordance with the evidence criteria that should always be the ground for any therapeutic choice.
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Affiliation(s)
| | - Annalisa Giancaterini
- Diabetology Service, Muggiò Polyambulatory, Azienda Socio Sanitaria Territoriale, Monza, Italy
| | - Giacomo Guaita
- Diabetology, Endocrinology and Metabolic Diseases Service, Azienda Tutela Salute Sardegna-Azienda Socio Sanitaria Locale, Carbonia, Italy
| | - Alessandro Ozzello
- Departmental Structure of Endocrine Diseases and Diabetology, Azienda Sanitaria Locale TO3, Pinerolo, Italy
| | - Maria A Pellegrini
- Italian Association of Diabetologists, Rome, Italy.,New Coram Limited Liability Company, Udine, Italy
| | - Paola Ponzani
- Operative Unit of Diabetology, La Colletta Hospital, Azienda Sanitaria Locale 3, Genova, Italy
| | - Giuseppina T Russo
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | | | - Alberto de Micheli
- Associazione dei Cavalieri Italiani del Sovrano Militare Ordine di Malta, Genova, Italy
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Karkar L, Abu‐Toamih Atamni HJ, Milhem A, Houri-Haddad Y, Iraqi FA. Assessing the host genetic background effects on type 2 diabetes and obesity development in response to mixed-oral bacteria and high-fat diet using the collaborative cross mouse model. Animal Model Exp Med 2020; 3:152-159. [PMID: 32613174 PMCID: PMC7323698 DOI: 10.1002/ame2.12117] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 04/07/2020] [Accepted: 04/23/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Host genetic background and sex, play central roles in defining the pathogenesis of type 2 diabetes (T2D), obesity and infectious diseases. Our previous studies demonstrated the utilization of genetically highly diverse inbred mouse lines, namely collaborative cross (CC), for dissecting host susceptibility for the development of T2D and obesity, showing significant variations following high-fat (42% fat) diet (HFD). Here, we aimed to assessing the host genetic background and sex effects on T2D and obesity development in response to oral-mixed bacterial infection and HFD using the CC lines. MATERIALS AND METHODS Study cohort consists of 97 mice from 2 CC lines (both sexes), maintained on either HFD or Standard diet (CHD) for 12 weeks. At week 5 a group of mice from each diet were infected with Porphyromonas gingivalis (Pg) and Fusobacterium nucleatum (Fn) bacteria (control groups without infection). Body weight (BW) and glucose tolerance ability were assessed at the end time point of the experiment. RESULTS The CC lines varied (P < .05) at their BW gain and glucose tolerance ability (with sex effect) in response to diets and/or infection, showing opposite responses despite sharing the same environmental conditions. The combination of diet and infection enhances BW accumulation for IL1912, while restraints it for IL72. As for glucose tolerance ability, only females (both lines) were deteriorated in response to infection. CONCLUSIONS This study emphasizes the power of the CC mouse population for the characterization of host genetic makeup for defining the susceptibility of the individual to development of obesity and/or impaired glucose tolerance.
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Affiliation(s)
- Luna Karkar
- Department of Clinical Microbiology and ImmunologySackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
| | - Hanifa J. Abu‐Toamih Atamni
- Department of Clinical Microbiology and ImmunologySackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
| | - Asal Milhem
- Department of Clinical Microbiology and ImmunologySackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
| | - Yael Houri-Haddad
- Department of ProsthodonticsDental SchoolHebrew UniversityHadassah JerusalemIsrael
| | - Fuad A. Iraqi
- Department of Clinical Microbiology and ImmunologySackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
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Puttabyatappa M, Sargis RM, Padmanabhan V. Developmental programming of insulin resistance: are androgens the culprits? J Endocrinol 2020; 245:R23-R48. [PMID: 32240982 PMCID: PMC7219571 DOI: 10.1530/joe-20-0044] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 04/02/2020] [Indexed: 02/06/2023]
Abstract
Insulin resistance is a common feature of many metabolic disorders. The dramatic rise in the incidence of insulin resistance over the past decade has enhanced focus on its developmental origins. Since various developmental insults ranging from maternal disease, stress, over/undernutrition, and exposure to environmental chemicals can all program the development of insulin resistance, common mechanisms may be involved. This review discusses the possibility that increases in maternal androgens associated with these various insults are key mediators in programming insulin resistance. Additionally, the intermediaries through which androgens misprogram tissue insulin sensitivity, such as changes in inflammatory, oxidative, and lipotoxic states, epigenetic, gut microbiome and insulin, as well as data gaps to be filled are also discussed.
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Affiliation(s)
| | - Robert M. Sargis
- Department of Medicine, University of Illinois at Chicago, Chicago, IL
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Khatami F, Mohajeri-Tehrani MR, Tavangar SM. The Importance of Precision Medicine in Type 2 Diabetes Mellitus (T2DM): From Pharmacogenetic and Pharmacoepigenetic Aspects. Endocr Metab Immune Disord Drug Targets 2020; 19:719-731. [PMID: 31122183 DOI: 10.2174/1871530319666190228102212] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 10/18/2018] [Accepted: 11/21/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Type 2 Diabetes Mellitus (T2DM) is a worldwide disorder as the most important challenges of health-care systems. Controlling the normal glycaemia greatly profit long-term prognosis and gives explanation for early, effective, constant, and safe intervention. MATERIAL AND METHODS Finding the main genetic and epigenetic profile of T2DM and the exact molecular targets of T2DM medications can shed light on its personalized management. The comprehensive information of T2DM was earned through the genome-wide association study (GWAS) studies. In the current review, we represent the most important candidate genes of T2DM like CAPN10, TCF7L2, PPAR-γ, IRSs, KCNJ11, WFS1, and HNF homeoboxes. Different genetic variations of a candidate gene can predict the efficacy of T2DM personalized strategy medication. RESULTS SLCs and AMPK variations are considered for metformin, CYP2C9, KATP channel, CDKAL1, CDKN2A/2B and KCNQ1 for sulphonylureas, OATP1B, and KCNQ1 for repaglinide and the last but not the least ADIPOQ, PPAR-γ, SLC, CYP2C8, and SLCO1B1 for thiazolidinediones response prediction. CONCLUSION Taken everything into consideration, there is an extreme need to determine the genetic status of T2DM patients in some known genetic region before planning the medication strategies.
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Affiliation(s)
- Fatemeh Khatami
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad R Mohajeri-Tehrani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed M Tavangar
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Department of Pathology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
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46
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Valaiyapathi B, Gower B, Ashraf AP. Pathophysiology of Type 2 Diabetes in Children and Adolescents. Curr Diabetes Rev 2020; 16:220-229. [PMID: 29879890 PMCID: PMC7516333 DOI: 10.2174/1573399814666180608074510] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Revised: 05/24/2018] [Accepted: 06/03/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND The prevalence of type 2 diabetes (DM) in children is disturbingly increasing in parallel with the increasing childhood obesity. Better knowledge regarding the pathophysiology of type 2 DM in children is paramount to devise an effective management plan. OBJECTIVE Discuss the pathophysiology of type 2 DM in children and adolescents. METHODS AND RESULTS This is a comprehensive review of the literature on this topic. Type 2 DM in childhood is viewed as a continuum of insulin resistance (IR) which is determined by an underlying genetic predisposition, intrauterine environment, excessive food consumption, continued rapid weight gain, and poor lifestyle. Besides IR, this is compounded by multiple metabolic defects including β-cell dysfunction and inadequate insulin secretion, α-cell dysfunction, hyperglucagonemia and increased hepatic glucose production, lipotoxicity, inflammation, deficiencies in incretin production and action, and increased renal glucose reabsorption. The confluence of genetic and environmental factors underscores the complexity in disease progression. CONCLUSION A consistent single risk factor for type 2 DM is obesity and related IR and therefore it is essential to curtail the progression of obesity. It is important to investigate the role of stringent dietary and nutritional approaches, medications that enhance β-cell function and insulin sensitivity.
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Affiliation(s)
- Badhma Valaiyapathi
- Department of Epidemiology, School of Public Health, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Barbara Gower
- Department of Nutrition Sciences, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ambika P. Ashraf
- Department of Pediatrics/Division of Pediatric Endocrinology and Metabolism, The University of Alabama at Birmingham, Birmingham, AL, USA
- Address correspondence to this author at the Department Pediatric Endocrinology, The University of Alabama at Birmingham, Birmingham, AL 35233, USA; Tel: 205 638 9107, Fax: 205 638 9821; E-mail:
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Fan S, Xue Z, Yuan J, Zhou Z, Wang Y, Yang Z, Yang B, Dong G, Zhang Z. Associations of Residential Greenness with Diabetes Mellitus in Chinese Uyghur Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16245131. [PMID: 31888136 PMCID: PMC6950214 DOI: 10.3390/ijerph16245131] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 11/26/2019] [Accepted: 12/10/2019] [Indexed: 12/26/2022]
Abstract
Greenness exposure is nominated as a potential beneficial factor for health, but evidence is limited on its diabetes effects. We conducted a cross-sectional study between May and September 2016 in rural areas of northwestern China, including 4670 Uyghur adults, to explore the associations between residential greenness and fasting glucose levels and diabetes prevalence. Fasting glucose levels were determined, and information on covariates was collected by questionnaire. Normalized difference vegetation index (NDVI) and soil-adjusted vegetation index (SAVI) were calculated to assess greenness levels. Generalized linear mixed models were applied to evaluate the associations of greenness with fasting glucose levels and diabetes prevalence. The prevalence of diabetes was 11.6%. We found that living in rural areas characterized by increased amounts of greenness was associated with reduced diabetes prevalence (e.g., NDVI1000m: OR, 0.92; 95% CI, 0.86, 0.99). Stratified analyses showed that the protective effects of greenness on diabetes prevalence were found only in women (NDVI1000m: OR, 0.90; 95% CI, 0.82, 0.99). However, none of the interaction was statistically significant. Our study suggests that greater residential greenness levels were associated with a lower odds ratio of diabetes prevalence in Xinjiang Uyghur adults. Further well-designed longitudinal studies are needed to confirm our findings.
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Affiliation(s)
- Shujun Fan
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China; (S.F.); (J.Y.); (Z.Z.); (Z.Y.)
| | - Zhenxiang Xue
- Shufu Center for Disease Control and Prevention, Kashgar 844100, China; (Z.X.); (Y.W.)
| | - Jun Yuan
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China; (S.F.); (J.Y.); (Z.Z.); (Z.Y.)
| | - Ziyan Zhou
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China; (S.F.); (J.Y.); (Z.Z.); (Z.Y.)
| | - Yuzhong Wang
- Shufu Center for Disease Control and Prevention, Kashgar 844100, China; (Z.X.); (Y.W.)
| | - Zhicong Yang
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China; (S.F.); (J.Y.); (Z.Z.); (Z.Y.)
| | - Boyi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China;
| | - Guanghui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China;
- Correspondence: (G.D.); (Z.Z.); Tel.: +862087333409 (G.D.); +86-20-36052380 (Z.Z.); Fax: +862087330446 (G.D.); +86-20-36052380 (Z.Z.)
| | - Zhoubin Zhang
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China; (S.F.); (J.Y.); (Z.Z.); (Z.Y.)
- Correspondence: (G.D.); (Z.Z.); Tel.: +862087333409 (G.D.); +86-20-36052380 (Z.Z.); Fax: +862087330446 (G.D.); +86-20-36052380 (Z.Z.)
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Hao G, Liu K, Halbert JD, Chen H, Wu J, Jing C. Dietary sodium and potassium and risk of diabetes: A prospective study using data from the China Health and Nutrition Survey. DIABETES & METABOLISM 2019; 46:377-383. [PMID: 31838058 DOI: 10.1016/j.diabet.2019.12.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 11/24/2019] [Accepted: 12/01/2019] [Indexed: 10/25/2022]
Abstract
AIMS Dietary sodium and potassium intakes are well-known risk factors for cardiovascular outcomes. However, the associations between dietary sodium and potassium and diabetes are still controversial. Our study aimed to examine whether dietary sodium, potassium and the sodium-potassium ratio are associated with the risk of diabetes, based on a large sample of Chinese adults. METHODS The study data were from the 2004-2009 China Health and Nutrition Survey (CHNS), and 5867 participants were eligible for analysis. Sodium and potassium intakes were estimated based on three consecutive 24-h recalls at an individual level combined with a food inventory at a household level performed over the same 3-day period. Diabetes was defined as fasting glucose ≥7.0mmol/L (≥126mg/dL), HbA1c ≥6.5% or use of antidiabetic drugs. RESULTS Over a mean follow-up of 4.7 years, there were 611 (10.4%) incident cases of diabetes. Participants in the higher quartiles (Q3 and Q4) of sodium intake had significantly higher risks of diabetes than those with the lowest sodium intake [Q3, RR: 1.41, 95% CI: 1.06-1.86 and Q4, RR: 1.35, 95% CI: 1.02-1.80; P<0.001 for trend]. In addition, high sodium intakes were significantly associated with levels of fasting glucose and HbA1c (P<0.05 for trend), with similar associations also found with sodium-potassium ratios (P<0.05 for trend), but not for potassium intakes. CONCLUSION This study found that higher sodium intakes and sodium-potassium ratios were significantly associated with a higher risk of diabetes. Further clinical research is now necessary to confirm these results.
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Affiliation(s)
- G Hao
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
| | - K Liu
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - J D Halbert
- Georgia Prevention Institute, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - H Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - J Wu
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - C Jing
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China.
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Abstract
PURPOSE OF REVIEW We review recent evidence of the relationship between dietary fat intake and risk of type 2 diabetes (T2D), the role of epigenetic alterations as a mediator of this relationship, and the impact of gene-dietary fat interactions in the development of the disease. Based on the observations made, we will discuss whether there is evidence to support genetic personalization of fat intake recommendations in T2D prevention. RECENT FINDINGS Strong evidence suggests that polyunsaturated fatty acids (PUFA) have a protective effect on T2D risk, whereas the roles of saturated and monounsaturated fatty acids (SFA and MUFA) remain unclear. Diets enriched with PUFA vs SFA lead to distinct epigenetic alterations that may mediate their effects on T2D risk by changing gene function. However, it is not currently known which of the epigenetic alterations, if any, are causal for T2D. The current literature shows no replicated evidence of genetic variants modifying the effect of dietary fat intake on T2D risk. There is consistent evidence of a protective role of PUFA in T2D prevention. No evidence supports genetic personalization of dietary recommendations in T2D prevention.
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Affiliation(s)
- Germán D Carrasquilla
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Mærsk Building (8. floor), Copenhagen, Denmark
| | - Hermina Jakupović
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Mærsk Building (8. floor), Copenhagen, Denmark
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Mærsk Building (8. floor), Copenhagen, Denmark.
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Dietrich S, Jacobs S, Zheng JS, Meidtner K, Schwingshackl L, Schulze MB. Gene-lifestyle interaction on risk of type 2 diabetes: A systematic review. Obes Rev 2019; 20:1557-1571. [PMID: 31478326 PMCID: PMC8650574 DOI: 10.1111/obr.12921] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 06/26/2019] [Accepted: 07/08/2019] [Indexed: 12/13/2022]
Abstract
The pathophysiological influence of gene-lifestyle interactions on the risk to develop type 2 diabetes (T2D) is currently under intensive research. This systematic review summarizes the evidence for gene-lifestyle interactions regarding T2D incidence. MEDLINE, EMBASE, and Web of Science were systematically searched until 31 January 2019 to identify publication with (a) prospective study design; (b) T2D incidence; (c) gene-diet, gene-physical activity, and gene-weight loss intervention interaction; and (d) population who are healthy or prediabetic. Of 66 eligible publications, 28 reported significant interactions. A variety of different genetic variants and dietary factors were studied. Variants at TCF7L2 were most frequently investigated and showed interactions with fiber and whole grain on T2D incidence. Further gene-diet interactions were reported for, eg, a western dietary pattern with a T2D-GRS, fat and carbohydrate with IRS1 rs2943641, and heme iron with variants of HFE. Physical activity showed interaction with HNF1B, IRS1, PPARγ, ADRA2B, SLC2A2, and ABCC8 variants and weight loss interventions with ENPP1, PPARγ, ADIPOR2, ADRA2B, TNFα, and LIPC variants. However, most findings represent single study findings obtained in European ethnicities. Although some interactions have been reported, their conclusiveness is still low, as most findings were not yet replicated across multiple study populations.
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Affiliation(s)
- Stefan Dietrich
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Simone Jacobs
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Ju-Sheng Zheng
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.,School of Life Sciences, Westlake University, Hangzhou, China
| | - Karina Meidtner
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Lukas Schwingshackl
- Institute for Evidence in Medicine, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,University of Potsdam, Institute of Nutritional Sciences, Nuthetal, Germany
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