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Chen Y, Liu P, Yi S, Fan C, Zhao W, Liu J. Investigating the shared genetic architecture between attention-deficit/hyperactivity disorder and risk taking behavior: A large-scale genomewide cross-trait analysis. J Affect Disord 2024; 356:22-31. [PMID: 38565336 DOI: 10.1016/j.jad.2024.03.107] [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: 12/29/2023] [Revised: 02/20/2024] [Accepted: 03/22/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND This study aims to explore the genetic architecture shared between Attention-Deficit/Hyperactivity Disorder (ADHD) and risk behavior. METHODS Based on the latest large-scale Genome-wide association studies (GWAS), we firstly employed Linkage disequilibrium score regression (LDSC) and Local Analysis of Variant Association (LAVA) to investigate the genetic correlation between risk behavior and ADHD. Then, we conducted cross-trait analysis to identified the Pleiotropic loci. Finally, bidirectional Mendelian randomization analysis (MR) was applied to examine the causal relationship. RESULTS We found a significant positive genetic correlation between ADHD and risk-taking behavior (rg = 0.351, p = 6.50E-37). The cross-trait meta-analysis identified 27 significant SNPs shared between ADHD and risk behavior. The most significant locus, located near the CADM2 gene on chromosome 3, had been identified associated with this two trait (pADHD = 3.07E-05 and prisk-taking behavior = 2.47E-30). The same situation can also be observed near the FOXP2 gene on chromosome 7 (rs8180817, pmeta = 5.72E-21). We found CCDC171 gene and other genes played a significant role in ADHD and risk behavior in mRNA level. Bidirectional MR analysis found a causal relationship between them. LIMITATION The majority of our data sources were of European origin, which may limit the generalizability of our findings to other ethnic populations. CONCLUSION This article reveals in depth the shared genetic structure between ADHD and risk-taking behavior, finding a significant positive genetic correlation between ADHD and risk-taking behavior. Providing insights for the future treatment and management of these two traits.
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Affiliation(s)
- Yanjing Chen
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan Province 410011, People's Republic of China.
| | - Ping Liu
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan Province 410011, People's Republic of China.
| | - Sijie Yi
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan Province 410011, People's Republic of China
| | - Chunhua Fan
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan Province 410011, People's Republic of China
| | - Wei Zhao
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan Province 410011, People's Republic of China; Clinical Research Center for Medical Imaging in Hunan Province, Changsha, Hunan Province 410011, People's Republic of China.
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan Province 410011, People's Republic of China; Clinical Research Center for Medical Imaging in Hunan Province, Changsha, Hunan Province 410011, People's Republic of China.
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Berry SB, Espich S, Thuong NTT, Chang X, Dorajoo R, Khor CC, Heng CK, Yuan JM, Fox D, Anaya-Sanchez A, Tenney L, Chang CJ, Kotov DI, Vance RE, Dunstan SJ, Darwin KH, Stanley SA. Disruption of Aldehyde Dehydrogenase 2 protects against bacterial infection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.24.554661. [PMID: 37662190 PMCID: PMC10473740 DOI: 10.1101/2023.08.24.554661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
The ALDH2*2 (rs671) allele is one of the most common genetic mutations in humans, yet the positive evolutionary selective pressure to maintain this mutation is unknown, despite its association with adverse health outcomes. ALDH2 is responsible for the detoxification of metabolically produced aldehydes, including lipid-peroxidation end products derived from inflammation. Here, we demonstrate that host-derived aldehydes 4-hydroxynonenal (4HNE), malondialdehyde (MDA), and formaldehyde (FA), all of which are metabolized by ALDH2, are directly toxic to the bacterial pathogens Mycobacterium tuberculosis and Francisella tularensis at physiological levels. We find that Aldh2 expression in macrophages is decreased upon immune stimulation, and that bone marrow-derived macrophages from Aldh2 -/- mice contain elevated aldehydes relative to wild-type mice. Macrophages deficient for Aldh2 exhibited enhanced control of Francisella infection. Finally , mice lacking Aldh2 demonstrated increased resistance to pulmonary infection by M. tuberculosis , including in a hypersusceptible model of tuberculosis, and were also resistant to Francisella infection. We hypothesize that the absence of ALDH2 contributes to the host's ability to control infection by pathogens such as M. tuberculosis and F. tularensis , and that host-derived aldehydes act as antimicrobial factors during intracellular bacterial infections. One sentence summary Aldehydes produced by host cells contribute to the control of bacterial infections.
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Sekar P, Ventura EF, Dhanapal ACTA, Cheah ESG, Loganathan A, Quen PL, Appukutty M, Taslim NA, Hardinsyah H, Md Noh MF, Lovegrove JA, Givens I, Vimaleswaran KS. Gene-Diet Interactions on Metabolic Disease-Related Outcomes in Southeast Asian Populations: A Systematic Review. Nutrients 2023; 15:2948. [PMID: 37447274 PMCID: PMC10346616 DOI: 10.3390/nu15132948] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Diabetes and obesity are chronic diseases that are a burden to low- and middle-income countries. We conducted this systematic review to understand gene-diet interactions affecting the Southeast Asian population's risk of obesity and diabetes. The literature search was performed on Google Scholar and MEDLINE (PubMed) search engines independently by four reviewers who evaluated the eligibility of articles based on inclusion criteria. Out of 19,031 articles, 20 articles examining gene-diet interactions on obesity and/or diabetes-related traits met the inclusion criteria. Three (Malaysia, Indonesia, and Singapore) out of eleven Association of Southeast Asian Nations (ASEAN) countries have conducted studies on gene-diet interactions on obesity and diabetes. From the 20 selected articles, the most common interactions were observed between macronutrients and genetic risk score (GRS) on metabolic disease-related traits in the Malay, Chinese, and Indian ethnicities. Overall, we identified 29 significant gene-diet interactions in the Southeast Asian population. The results of this systematic review demonstrate ethnic-specific gene-nutrient interactions on metabolic-disease-related traits in the Southeast Asian population. This is the first systematic review to explore gene-diet interactions on obesity and diabetes in the Southeast Asian population and further research using larger sample sizes is required for better understanding and framing nutrigenetic approaches for personalized nutrition.
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Affiliation(s)
- Padmini Sekar
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK; (P.S.); (E.F.V.); (J.A.L.)
| | - Eduard Flores Ventura
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK; (P.S.); (E.F.V.); (J.A.L.)
| | - Anto Cordelia T. A. Dhanapal
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia; (A.C.T.A.D.); (E.S.G.C.); (A.L.); (P.L.Q.)
| | - Eddy Seong Guan Cheah
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia; (A.C.T.A.D.); (E.S.G.C.); (A.L.); (P.L.Q.)
| | - Annaletchumy Loganathan
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia; (A.C.T.A.D.); (E.S.G.C.); (A.L.); (P.L.Q.)
| | - Phoon Lee Quen
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia; (A.C.T.A.D.); (E.S.G.C.); (A.L.); (P.L.Q.)
| | - Mahenderan Appukutty
- Faculty of Sports Science and Recreation, Universiti Teknologi MARA, Shah Alam 40450, Malaysia;
- Nutrition Society of Malaysia, Jalan PJS 1/48 off Jalan Klang Lama, Petaling Jaya 46150, Malaysia
| | - Nurpudji Astuti Taslim
- Clinical Nutrition, Faculty of Medicine, Hasanuddin University, Makassar 90245, Indonesia;
| | - Hardinsyah Hardinsyah
- Department of Community Nutrition, Faculty of Human Ecology, IPB University, Bogor 16680, Indonesia;
| | - Mohd Fairulnizal Md Noh
- Institute for Medical Research, National Institutes of Health, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam 40170, Malaysia;
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK; (P.S.); (E.F.V.); (J.A.L.)
| | - Ian Givens
- Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading RG6 6AH, UK;
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK; (P.S.); (E.F.V.); (J.A.L.)
- Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading RG6 6AH, UK;
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Chang X, Chua KY, Ng FL, Wang L, Liu J, Yuan JM, Khor CC, Heng CK, Dorajoo R, Koh WP. Increased BMI and late-life mobility dysfunction; overlap of genetic effects in brain regions. Int J Obes (Lond) 2023; 47:358-364. [PMID: 36788305 DOI: 10.1038/s41366-023-01275-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/16/2023]
Abstract
BACKGROUND How obesity earlier in life impacts upon mobility dysfunctions in late life is not well understood. Pernicious effects of excess weight on the musculoskeletal system and mobility dysfunctions are well-recognized. However, increasingly more data support the link of obesity to overall motor defects that are regulated in the brain. OBJECTIVES To assess the causal relationship between body mass index (BMI) at midlife and performance of the Timed Up-and-Go test (TUG) in late life among a population-based longitudinal cohort of Chinese adults living in Singapore. METHODS We evaluated genetic predispositions for BMI in 8342 participants who were followed up from measurement of BMI at average 53 years, to TUG test (as a functional mobility measure) 20 years later. RESULTS A robust 75.83% of genetically determined BMI effects on late-life TUG scores were mediated through midlife BMI (Pindirect-effect = 9.24 × 10-21). Utilizing Mendelian randomization, we demonstrated a causal effect between BMI and functional mobility in late life (βIVW = 0.180, PIVW = 0.001). Secondary gene enrichment evaluations highlighted down-regulation of genes at BMI risk loci that were correlated with poorer functional mobility in the substantia nigra and amygdala regions as compared to all other tissues. These genes also exhibit differential expression patterns during human brain development. CONCLUSIONS We report a causal effect of obesity on mobility dysfunction. Our findings highlight potential neuronal dysfunctions in regulating predispositions on the causal pathway from obesity to mobility dysfunction.
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Affiliation(s)
- Xuling Chang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore.,Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, 119074, Singapore.,Department of Infectious Diseases, The University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, 3000, VIC, Australia
| | - Kevin Yiqiang Chua
- Integrative Sciences and Engineering Programme, NUS Graduate School, National University of Singapore, Singapore, 119077, Singapore
| | - Fang Lin Ng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore.,Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, 119074, Singapore
| | - Ling Wang
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15232, USA.,Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore. .,Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, 119074, Singapore.
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore. .,Health Systems and Services Research, Duke-NUS Medical School Singapore, Singapore, 169857, Singapore.
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117545, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, 117609, Singapore
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Kwon YJ, Park DH, Choi JE, Lee D, Hong KW, Lee JW. Identification of the interactions between specific genetic polymorphisms and nutrient intake associated with general and abdominal obesity in middle-aged adults. Clin Nutr 2022; 41:543-551. [PMID: 35030529 DOI: 10.1016/j.clnu.2021.12.040] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 12/25/2021] [Accepted: 12/29/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND & AIMS Comprehensive understanding of gene-diet interactions is necessary to establish proper dietary guidelines to prevent and manage general and abdominal obesity. We investigated the role of genetic variants and their interactions with general and abdominal obesity-associated nutrients using a largescale genome-wide association study of Korean adults. METHODS A total of 50,808 participants from a Korean genome and epidemiology study were included. Dietary intake was assessed using a food frequency questionnaire. Obesity was defined as a body mass index ≥25 kg/m2. Abdominal obesity (AO) was defined as waist circumference ≥90 cm and 80 cm in males and females, respectively. Dietary nutrient intake was classified based on Korean Dietary Reference Intakes (DRIs). Odds ratios and 95% confidence intervals were calculated after adjusting for age, sex, exercise, smoking, alcohol drinking, total energy consumption, PC1, and PC2. RESULTS Among the individuals consuming fat (%) above DRI, carriers of Ca binding protein 39 (CAB39)- rs6722579 minor allele (A) have a higher risk of AO than those not carrying the SNP (odds ration [OR] = 3.73, p-value = 2.05e-07; interaction p-value = 1.80e-07). Among the individuals consuming vitamin C above DRI, carriers of carboxypeptidase Q (CPQ)- rs59465035 minor allele (T) have a lower risk of AO than those without that SNP (OR = 0.89, p-value = 1.44e-08; interaction p-value = 9.50e-06). The genetic association with obesity was stronger among individuals with a genetic variant rs4130113 near GHR gene region in those consume folate above DRI and with a genetic variant rs5760920 near CRYBB2 gene region in those consume vitamin B2 above DRI. CONCLUSION Our study results suggested that interactions of specific polymorphisms at loci and certain nutrients may influence obesity and abdominal obesity.
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Affiliation(s)
- Yu-Jin Kwon
- Department of Family Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, 363, Dongbaekjukjeon-daero, Giheung-gu, Yongin-si 16995, Gyeonggi-do, Republic of Korea
| | - Da Hyun Park
- Theragen Bio Co., Ltd., Suwon, Gyeonggi-do, 16229, Republic of Korea
| | - Ja-Eun Choi
- Theragen Bio Co., Ltd., Suwon, Gyeonggi-do, 16229, Republic of Korea
| | - Dasom Lee
- Theragen Bio Co., Ltd., Suwon, Gyeonggi-do, 16229, Republic of Korea
| | - Kyung-Won Hong
- Theragen Bio Co., Ltd., Suwon, Gyeonggi-do, 16229, Republic of Korea.
| | - Ji-Won Lee
- Department of Family Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul 06273, Republic of Korea.
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6
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Mu L, Yu F, Xia J, Lang X, Haque A, Wu HE, Zhang XY. Association between high BMI and high homocysteine levels in Chinese patients with bipolar disorder. J Affect Disord 2021; 295:284-290. [PMID: 34482060 DOI: 10.1016/j.jad.2021.08.032] [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: 12/25/2020] [Revised: 07/25/2021] [Accepted: 08/21/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Bipolar disorder (BD) has been associated with an increased prevalence of weight gain and abnormally elevated plasma homocysteine (Hcy) levels. However, the relationship between BMI and Hcy in BD patients has not been investigated. This study aimed to explore this relationship in Chinese patients with BD. METHODS Plasma Hcy levels, socio-demographic parameters, clinical and anthropometric data were collected from 195 BD inpatients and 84 healthy controls. The level of plasma Hcy was determined by high-performance liquid chromatography. Body mass index (BMI) was calculated by body weight divided by the square of the height. The participants were divided into a high BMI group and a low BMI group using 24 kg/m2 as a threshold. RESULTS The prevalence of high BMI was slightly elevated in BD patients in comparison to healthy controls. Patients with elevated BMI had significantly higher Hcy levels than patients with low BMI. Hcy level was an independent contributor of the occurrence of high BMI in BD patients. The level of Hcy was positively correlated with BMI in BD patients. In addition, depressive episodes of BD were positively correlated with the prevalence of high BMI and married BD patients were more likely to have high BMI levels. CONCLUSIONS There is a close relationship between BMI and plasma Hcy levels in patients with BD, suggesting that Hcy may be an important indicator for BD-induced weight gain. This finding provides a new avenue for weight management of BD patients and to help avoid the potential risk of cardiovascular diseases.
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Affiliation(s)
- Li Mu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, China
| | - Feng Yu
- Qingdao mental health center, Qingdao University, Qingdao, China
| | - Jiejing Xia
- Qingdao mental health center, Qingdao University, Qingdao, China
| | - XiaoE Lang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Anam Haque
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Hanjing Emily Wu
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Xiang Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Science, Beijing, China.
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Integration of peripheral transcriptomics, genomics, and interactomics following trauma identifies causal genes for symptoms of post-traumatic stress and major depression. Mol Psychiatry 2021; 26:3077-3092. [PMID: 33963278 DOI: 10.1038/s41380-021-01084-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 02/26/2021] [Accepted: 03/26/2021] [Indexed: 02/03/2023]
Abstract
Posttraumatic stress disorder (PTSD) is a debilitating syndrome with substantial morbidity and mortality that occurs in the aftermath of trauma. Symptoms of major depressive disorder (MDD) are also a frequent consequence of trauma exposure. Identifying novel risk markers in the immediate aftermath of trauma is a critical step for the identification of novel biological targets to understand mechanisms of pathophysiology and prevention, as well as the determination of patients most at risk who may benefit from immediate intervention. Our study utilizes a novel approach to computationally integrate blood-based transcriptomics, genomics, and interactomics to understand the development of risk vs. resilience in the months following trauma exposure. In a two-site longitudinal, observational prospective study, we assessed over 10,000 individuals and enrolled >700 subjects in the immediate aftermath of trauma (average 5.3 h post-trauma (range 0.5-12 h)) in the Grady Memorial Hospital (Atlanta) and Jackson Memorial Hospital (Miami) emergency departments. RNA expression data and 6-month follow-up data were available for 366 individuals, while genotype, transcriptome, and phenotype data were available for 297 patients. To maximize our power and understanding of genes and pathways that predict risk vs. resilience, we utilized a set-cover approach to capture fluctuations of gene expression of PTSD or depression-converting patients and non-converting trauma-exposed controls to find representative sets of disease-relevant dysregulated genes. We annotated such genes with their corresponding expression quantitative trait loci and applied a variant of a current flow algorithm to identify genes that potentially were causal for the observed dysregulation of disease genes involved in the development of depression and PTSD symptoms after trauma exposure. We obtained a final list of 11 driver causal genes related to MDD symptoms, 13 genes for PTSD symptoms, and 22 genes in PTSD and/or MDD. We observed that these individual or combined disorders shared ESR1, RUNX1, PPARA, and WWOX as driver causal genes, while other genes appeared to be causal driver in the PTSD only or MDD only cases. A number of these identified causal pathways have been previously implicated in the biology or genetics of PTSD and MDD, as well as in preclinical models of amygdala function and fear regulation. Our work provides a promising set of initial pathways that may underlie causal mechanisms in the development of PTSD or MDD in the aftermath of trauma.
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Chang X, Gurung RL, Wang L, Jin A, Li Z, Wang R, Beckman KB, Adams-Haduch J, Meah WY, Sim KS, Lim WK, Davila S, Tan P, Teo JX, Yeo KK, M Y, Liu S, Lim SC, Liu J, van Dam RM, Friedlander Y, Koh WP, Yuan JM, Khor CC, Heng CK, Dorajoo R. Low frequency variants associated with leukocyte telomere length in the Singapore Chinese population. Commun Biol 2021; 4:519. [PMID: 33941849 PMCID: PMC8093266 DOI: 10.1038/s42003-021-02056-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 03/26/2021] [Indexed: 02/02/2023] Open
Abstract
The role of low frequency variants associated with telomere length homeostasis in chronic diseases and mortalities is relatively understudied in the East-Asian population. Here we evaluated low frequency variants, including 1,915,154 Asian specific variants, for leukocyte telomere length (LTL) associations among 25,533 Singapore Chinese samples. Three East Asian specific variants in/near POT1, TERF1 and STN1 genes are associated with LTL (Meta-analysis P 2.49×10-14-6.94×10-10). Rs79314063, a missense variant (p.Asp410His) at POT1, shows effect 5.3 fold higher and independent of a previous common index SNP. TERF1 (rs79617270) and STN1 (rs139620151) are linked to LTL-associated common index SNPs at these loci. Rs79617270 is associated with cancer mortality [HR95%CI = 1.544 (1.173, 2.032), PAdj = 0.018] and 4.76% of the association between the rs79617270 and colon cancer is mediated through LTL. Overall, genetically determined LTL is particularly associated with lung adenocarcinoma [HR95%CI = 1.123 (1.051, 1.201), Padj = 0.007]. Ethnicity-specific low frequency variants may affect LTL homeostasis and associate with certain cancers.
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Affiliation(s)
- Xuling Chang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Resham L Gurung
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore
| | - Ling Wang
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Aizhen Jin
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore, Singapore
| | - Zheng Li
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kenneth B Beckman
- University of Minnesota Genomics Center, University of Minnesota, Minneapolis, MN, USA
| | - Jennifer Adams-Haduch
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wee Yang Meah
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Kar Seng Sim
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
- Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
| | - Sonia Davila
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
- Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore
| | - Patrick Tan
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
- Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Jing Xian Teo
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
| | - Khung Keong Yeo
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore
| | - Yiamunaa M
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore
| | - Sylvia Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore
| | - Su Chi Lim
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore
- Diabetes Centre, Admiralty Medical Centre, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yechiel Friedlander
- School of Public Health and Community Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore.
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology, and Research, Singapore, Singapore.
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore, Singapore.
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Chang X, Dorajoo R, Sun Y, Wang L, Ong CN, Liu J, Khor CC, Yuan JM, Koh WP, Friedlander Y, Heng CK. Effect of plasma polyunsaturated fatty acid levels on leukocyte telomere lengths in the Singaporean Chinese population. Nutr J 2020; 19:119. [PMID: 33126880 PMCID: PMC7602302 DOI: 10.1186/s12937-020-00626-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 09/15/2020] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Shorter telomere length (TL) has been associated with poor health behaviors, increased risks of chronic diseases and early mortality. Excessive shortening of telomere is a marker of accelerated aging and can be influenced by oxidative stress and nutritional deficiency. Plasma n6:n3 polyunsaturated fatty acid (PUFA) ratio may impact cell aging. Increased dietary intake of marine n-3 PUFA is associated with reduced telomere attrition. However, the effect of plasma PUFA on leukocyte telomere length (LTL) and its interaction with genetic variants are not well established. METHODS A nested coronary artery disease (CAD) case-control study comprising 711 cases and 638 controls was conducted within the Singapore Chinese Health Study (SCHS). Samples genotyped with the Illumina ZhongHua-8 array. Plasma n-3 and n-6 PUFA were quantified using mass spectrometry (MS). LTL was measured with quantitative PCR method. Linear regression was used to test the association between PUFA and LTL. The interaction between plasma PUFAs and genetic variants was assessed by introducing an additional term (PUFA×genetic variant) in the regression model. Analysis was carried out in cases and controls separately and subsequently meta-analyzed using the inverse-variance weighted method. We further assessed the association of PUFA and LTL with CAD risk by Cox Proportional-Hazards model and whether the effect of PUFA on CAD was mediated through LTL by using structural equation modeling. RESULTS Higher n6:n3 ratio was significantly associated with shorter LTL (p = 0.018) and increased CAD risk (p = 0.005). These associations were mainly driven by elevated plasma total n-3 PUFAs, especially eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) (p < 0.05). There was a statistically significant interaction for an intergenic single nucleotide polymorphism (SNP) rs529143 with plasma total n-3 PUFA and DHA on LTL beyond the genome-wide threshold (p < 5 × 10- 8). Mediation analysis showed that PUFA and LTL affected CAD risk independently. CONCLUSIONS Higher plasma n6:n3 PUFA ratio, and lower EPA and DHA n-3 PUFAs were associated with shorter LTL and increased CAD risk in this Chinese population. Furthermore, genetic variants may modify the effect of PUFAs on LTL. PUFA and LTL had independent effect on CAD risk in our study population.
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Affiliation(s)
- Xuling Chang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Level 12, 1E Kent Ridge Road, Singapore, 119228, Singapore
- Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Ye Sun
- Nestlé Research Singapore Hub, Singapore, 21 Biopolis Drive, Nucleos, Singapore, Singapore
| | - Ling Wang
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Choon Nam Ong
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
- NUS Environmental Research Institute, National University of Singapore, Singapore, Singapore
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Woon Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
- Health Systems and Services Research, Duke-NUS Medical School Singapore, Singapore, Singapore
| | - Yechiel Friedlander
- School of Public Health and Community Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
- Unit of Epidemiology, Hebrew University-Hadassah Braun School of Public Health, POB 12272, 91120, Jerusalem, Israel.
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Level 12, 1E Kent Ridge Road, Singapore, 119228, Singapore.
- Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, Singapore.
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Wu T, Hsu FC, Wang S, Luong D, Pierce JP. Hemoglobin A1c Levels Modify Associations between Dietary Acid Load and Breast Cancer Recurrence. Nutrients 2020; 12:nu12020578. [PMID: 32102184 PMCID: PMC7071352 DOI: 10.3390/nu12020578] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 02/15/2020] [Accepted: 02/18/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Metabolic acidosis promotes cancer metastasis. No prospective studies have examined the association between dietary acid load and breast cancer recurrence among breast cancer survivors, who are susceptible to metabolic acidosis. Hyperglycemia promotes cancer progression and acid formation; however, researchers have not examined whether hyperglycemia can modify the association between dietary acid load and breast cancer recurrence. METHODS We studied 3081 early-stage breast cancer survivors enrolled in the Women's Healthy Eating and Living study who provided dietary information through 24-h recalls at baseline and during follow-up and had measurements of hemoglobin A1c (HbA1c) at baseline. We assessed dietary acid load using two common dietary acid load scores, potential renal acid load (PRAL) score and net endogenous acid production (NEAP) score. RESULTS After an average of 7.3 years of follow-up, dietary acid load was positively associated with recurrence when baseline HbA1c levels were ≥ 5.6% (median level) and ≥5.7% (pre-diabetic cut-point). In the stratum with HbA1c ≥ 5.6%, comparing the highest to the lowest quartile of dietary acid load, the multivariable-adjusted hazard ratio was 2.15 (95% confidence interval [CI] 1.34-3.48) for PRAL and was 2.31 (95% CI 1.42-3.74) for NEAP. No associations were observed in the stratum with HbA1c levels were <5.6%. P-values for interactions were 0.01 for PRAL and 0.05 for NEAP. CONCLUSIONS Our study demonstrated for the first time that even at or above normal to high HbA1c levels, dietary acid load was associated with increased risk of breast cancer recurrence among breast cancer survivors. IMPACTS Our study provides strong evidence for developing specific dietary acid load guidelines based on HbA1c levels.
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Affiliation(s)
- Tianying Wu
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA 92182, USA;
- Morres Cancer Center, University of California at San Diego School of Medicine, San Diego, CA 92093, USA;
- Correspondence: ; Tel.: +619-594-0969
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Shunran Wang
- Department of Mathematics and Statistics, College of Science, San Diego State University, San Diego, CA 92182, USA;
| | - David Luong
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA 92182, USA;
| | - John P. Pierce
- Morres Cancer Center, University of California at San Diego School of Medicine, San Diego, CA 92093, USA;
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Talaei M, Feng L, Barrenetxea J, Yuan JM, Pan A, Koh WP. Adiposity, Weight Change, and Risk of Cognitive Impairment: The Singapore Chinese Health Study. J Alzheimers Dis 2020; 74:319-329. [PMID: 32039850 DOI: 10.3233/jad-191052] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Few prospective studies with long duration of follow-up have assessed the relations of body mass index (BMI) and weight change with cognitive function, especially in Asian populations. OBJECTIVE To investigate whether BMI and weight change in midlife are associated with cognitive impairment in old age. METHODS We used data from 14,691 participants in the Singapore Chinese Health Study and computed weight change as the difference between weight reported at baseline (1993-1998) at mean age of 53.0 years and follow-up 1 (1999-2004) at mean age of 58.6 years. Cognitive impairment was determined using education-specific cut-offs of the Singapore Modified Mini-Mental State Examination at follow-up 3 (2014-2016) at mean age of 72.9 years. We used multivariable logistic regression models to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for the associations. RESULTS Obesity (as defined BMI ≥27.5 kg/m2) was associated with a higher risk of cognitive impairment at baseline (OR 1.33, 95% CI 1.12-1.58) and follow-up 1 (OR 1.30, 95% CI 1.10-1.54) compared to BMI of 18.5-22.9 kg/m2. Underweight (BMI <18.5 kg/m2) was not associated with a significant risk either at baseline (OR 0.91, 95% CI 0.73-1.13) or follow-up 1 (OR 1.05, 95% CI 0.85-1.28). Compared to participants with <5% weight change, the ORs (95% CIs) of cognitive impairment were 1.20 (1.03-1.41) for those with 5-9.9% weight loss, 1.53 (1.29-1.81) for ≥10% weight loss, 1.00 (0.85-1.17) for 5-9.9% weight gain, and 1.50 (1.28-1.75) for ≥10% weight gain. CONCLUSION Obesity, weight loss, and excessive weight gain at midlife were associated with an increased risk of cognitive impairment at old age.
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Affiliation(s)
- Mohammad Talaei
- National University Health System (NUHS) Centre for Healthy Ageing, Singapore.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Lei Feng
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jon Barrenetxea
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - An Pan
- Department of Epidemiology and Biostatistics, MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore
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