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Hu Y, Xiong Z, Huang P, He W, Zhong M, Zhang D, Tang G. Association of mental disorders with sepsis: a bidirectional Mendelian randomization study. Front Public Health 2024; 12:1327315. [PMID: 38827616 PMCID: PMC11140049 DOI: 10.3389/fpubh.2024.1327315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 05/08/2024] [Indexed: 06/04/2024] Open
Abstract
Background Substantial research evidence supports the correlation between mental disorders and sepsis. Nevertheless, the causal connection between a particular psychological disorder and sepsis remains unclear. Methods For investigating the causal relationships between mental disorders and sepsis, genetic variants correlated with mental disorders, including anorexia nervosa (AN), attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), panic disorder (PD), posttraumatic stress disorder (PTSD), schizophrenia (SCZ), and tourette syndrome (TS), were all extracted from the Psychiatric Genomics Consortium (PGC). The causal estimates and direction between these mental disorders and sepsis were evaluated employing a two-sample bidirectional MR strategy. The inverse variance weighted (IVW) method was the primary approach utilized. Various sensitivity analyses were performed to confirm the validity of the causal effect. Meta-analysis, multivariable MR, and mediation MR were conducted to ensure the credibility and depth of this research. Results The presence of AN was in relation to a greater likelihood of sepsis (OR 1.08, 95% CI 1.02-1.14; p = 0.013). A meta-analysis including validation cohorts supported this observation (OR 1.06, 95% CI 1.02-1.09). None of the investigated mental disorders appeared to be impacted when sepsis was set as the exposure factor. Even after adjusting for confounding factors, AN remained statistically significant (OR 1.08, 95% CI 1.02-1.15; p = 0.013). Mediation analysis indicated N-formylmethionine levels (with a mediated proportion of 7.47%), cystatin D levels (2.97%), ketogluconate Metabolism (17.41%) and N10-formyl-tetrahydrofolate biosynthesis (20.06%) might serve as mediators in the pathogenesis of AN-sepsis. Conclusion At the gene prediction level, two-sample bidirectional MR analysis revealed that mental disorder AN had a causal association with an increased likelihood of sepsis. In addition, N-formylmethionine levels, cystatin D levels, ketogluconate metabolism and N10-formyl-tetrahydrofolate biosynthesis may function as potential mediators in the pathophysiology of AN-sepsis. Our research may contribute to the investigation of novel therapeutic strategies for mental illness and sepsis.
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Affiliation(s)
- Yuanzhi Hu
- Guangzhou University of Chinese Medicine, Guangzhou, China
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zihui Xiong
- Guangzhou University of Chinese Medicine, Guangzhou, China
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Pinge Huang
- Guangzhou University of Chinese Medicine, Guangzhou, China
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wan He
- Guangzhou University of Chinese Medicine, Guangzhou, China
- The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Minlin Zhong
- Emergency Department of Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China
| | - Danqi Zhang
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guanghua Tang
- Emergency Department of Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China
- Guangdong Provincial Key Laboratory of Research on Emergency in TCM, Guangzhou, China
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Chan AYL, Gao L, Hsieh MHC, Kjerpeseth LJ, Avelar R, Banaschewski T, Chan AHY, Coghill D, Cohen JM, Gissler M, Harrison J, Ip P, Karlstad Ø, Lau WCY, Leinonen MK, Leung WC, Liao TC, Reutfors J, Shao SC, Simonoff E, Tan KCB, Taxis K, Tomlin A, Cesta CE, Lai ECC, Zoega H, Man KKC, Wong ICK. Maternal diabetes and risk of attention-deficit/hyperactivity disorder in offspring in a multinational cohort of 3.6 million mother-child pairs. Nat Med 2024; 30:1416-1423. [PMID: 38589601 PMCID: PMC11108779 DOI: 10.1038/s41591-024-02917-8] [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: 09/11/2023] [Accepted: 03/08/2024] [Indexed: 04/10/2024]
Abstract
Previous studies report an association between maternal diabetes mellitus (MDM) and attention-deficit/hyperactivity disorder (ADHD), often overlooking unmeasured confounders such as shared genetics and environmental factors. We therefore conducted a multinational cohort study with linked mother-child pairs data in Hong Kong, New Zealand, Taiwan, Finland, Iceland, Norway and Sweden to evaluate associations between different MDM (any MDM, gestational diabetes mellitus (GDM) and pregestational diabetes mellitus (PGDM)) and ADHD using Cox proportional hazards regression. We included over 3.6 million mother-child pairs between 2001 and 2014 with follow-up until 2020. Children who were born to mothers with any type of diabetes during pregnancy had a higher risk of ADHD than unexposed children (pooled hazard ratio (HR) = 1.16, 95% confidence interval (CI) = 1.08-1.24). Higher risks of ADHD were also observed for both GDM (pooled HR = 1.10, 95% CI = 1.04-1.17) and PGDM (pooled HR = 1.39, 95% CI = 1.25-1.55). However, siblings with discordant exposure to GDM in pregnancy had similar risks of ADHD (pooled HR = 1.05, 95% CI = 0.94-1.17), suggesting potential confounding by unmeasured, shared familial factors. Our findings indicate that there is a small-to-moderate association between MDM and ADHD, whereas the association between GDM and ADHD is unlikely to be causal. This finding contrast with previous studies, which reported substantially higher risk estimates, and underscores the need to reevaluate the precise roles of hyperglycemia and genetic factors in the relationship between MDM and ADHD.
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Affiliation(s)
- Adrienne Y L Chan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, Epidemiology and Economics, University of Groningen, Groningen, The Netherlands
| | - Le Gao
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Miyuki Hsing-Chun Hsieh
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Lars J Kjerpeseth
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Raquel Avelar
- Institute of Biological Psychiatry, Mental Health Centre Sct Hans, Mental Health Services, Copenhagen, Denmark
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Amy Hai Yan Chan
- School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - David Coghill
- Departments of Paediatrics and Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Jacqueline M Cohen
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Mika Gissler
- Centre for Pharmacoepidemiology, Department of Medicine, Karolinska Institutet, Solna, Sweden
- Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Research Centre for Child Psychiatry, University of Turku, Turku, Finland
| | - Jeff Harrison
- School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Øystein Karlstad
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Wallis C Y Lau
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
| | - Maarit K Leinonen
- Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Wing Cheong Leung
- Department of Obstetrics and Gynaecology, Kwong Wah Hospital, Yau Ma Tei, Hong Kong
| | - Tzu-Chi Liao
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Johan Reutfors
- Centre for Pharmacoepidemiology, Department of Medicine, Karolinska Institutet, Solna, Sweden
| | - Shih-Chieh Shao
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Pharmacy, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Emily Simonoff
- Department of Child and Adolescent Psychiatry, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Kathryn Choon Beng Tan
- Department of Medicine, School of Clinical Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Katja Taxis
- Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, Epidemiology and Economics, University of Groningen, Groningen, The Netherlands
| | - Andrew Tomlin
- School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Carolyn E Cesta
- Centre for Pharmacoepidemiology, Department of Medicine, Karolinska Institutet, Solna, Sweden.
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Helga Zoega
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.
| | - Kenneth K C Man
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong.
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK.
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, UK.
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong.
- School of Pharmacy, Medical Sciences Division, Macau University of Science and Technology, Taipa, Macau.
- Advance Data Analytics for Medical Science Limited, Hong Kong, Hong Kong.
- School of Pharmacy, Aston University, Birmingham, UK.
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Meng D, Zhang X, Yu W, Yin G, Chen S, Liu H, Wang L, Zhang F. Association between gastroesophageal reflux disease and stroke: a bidirectional Mendelian randomization study. Front Neurol 2024; 14:1295051. [PMID: 38322794 PMCID: PMC10844487 DOI: 10.3389/fneur.2023.1295051] [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: 09/15/2023] [Accepted: 12/21/2023] [Indexed: 02/08/2024] Open
Abstract
Objective Some previous studies have suggested a potential link between stroke and gastroesophageal reflux disease (GERD). We used a two-sample bidirectional Mendelian randomization (MR) method to explore the causal relationship between stroke and GERD. Design Summary-level data derived from the published genome-wide association studies (GWAS) were employed for analyses. Single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) for stroke (n = 446,696) and its common subtypes ischemic stroke (IS) (n = 440,328), large vessel stroke (LVS) (n = 410,484), small vessel stroke (SVS) (n = 198,048), and cardioembolic stroke (CES) (n = 413,304) were obtained from the MEGASTROKE consortium. The data on intracerebral hemorrhage (ICH) (n = 721,135) come from the UK Biobank. Instrumental variables (IVs) for lacunar stroke (LS) (n = 474,348) and GERD (n = 602,604) were screened from publicly available genetic summary data. The inverse variance weighted (IVW) method was used as the main MR method. Pleiotropy was detected by the MR-Egger intercept test, MR pleiotropy residual sum and outlier, and leave-one-out analysis. Cochran Q statistics were used as supplements to detect pleiotropy. Results We found that GERD can causally increase the risk of stroke [IVW odds ratio (OR): 1.22, 95% confidence interval (CI): 1.13-1.32, p = 1.16 × 10-6] and its common subtypes IS (OR: 1.19, 95% CI: 1.10-1.30, p = 3.22 × 10-5), LVS (OR: 1.49, 95% CI: 1.21-1.84, p = 1.47 × 10-4), and LS (OR: 1.20, 95% CI: 1.001-1.44, p = 0.048). Several important risk factors for stroke have also been implicated in the above causal relationship, including type 2 diabetes, sleep apnea syndrome, high body mass index, high waist-to-hip ratio, and elevated serum triglyceride levels. In reverse MR analysis, we found that overall stroke (OR: 1.09, 95% CI: 1.004-1.19, p = 0.039) and IS (OR: 1.10, 95% CI: 1.03-1.17, p = 0.007) have the causal potential to enhance GERD risk. Conclusion This MR study provides evidence supporting a causal relationship between GERD and stroke and some of its common subtypes. We need to further explore the interconnected mechanisms between these two common diseases to better prevent and treat them.
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Affiliation(s)
- Decheng Meng
- First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xin Zhang
- First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wenfei Yu
- First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Guoliang Yin
- First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Suwen Chen
- First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Hongshuai Liu
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Linya Wang
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Fengxia Zhang
- Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
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McIntyre RS, Kwan ATH, Rosenblat JD, Teopiz KM, Mansur RB. Psychotropic Drug-Related Weight Gain and Its Treatment. Am J Psychiatry 2024; 181:26-38. [PMID: 38161305 DOI: 10.1176/appi.ajp.20230922] [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] [Indexed: 01/03/2024]
Abstract
Psychotropic drug-related weight gain (PDWG) is a common occurrence and is highly associated with non-initiation, discontinuation, and dissatisfaction with psychiatric drugs. Moreover, PDWG intersects with the elevated risk for obesity and associated morbidity that has been amply reported in the psychiatric population. Evidence indicates that differential liability for PDWG exists for antipsychotics, antidepressants, and anticonvulsants. During the past two decades, agents within these classes have become available with significantly lower or no liability for PDWG and as such should be prioritized. Although lithium is associated with weight gain, the overall extent of weight gain is significantly lower than previously estimated. The benefit of lifestyle and behavioral modification for obesity and/or PDWG in psychiatric populations is established, with effectiveness similar to that in the general population. Metformin is the most studied pharmacological treatment in the prevention and treatment of PDWG, and promising data are emerging for glucagon-like peptide-1 (GLP-1) receptor agonists (e.g., liraglutide, exenatide, semaglutide). Most pharmacologic antidotes for PDWG are supported with low-confidence data (e.g., topiramate, histamine-2 receptor antagonists). Future vistas for pharmacologic treatment for PDWG include large, adequately controlled studies with GLP-1 receptor agonists and possibly GLP-1/glucose-dependent insulinotropic polypeptide co-agonists (e.g., tirzepatide) as well as specific dietary modifications.
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Affiliation(s)
- Roger S McIntyre
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
| | - Angela T H Kwan
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
| | - Joshua D Rosenblat
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
| | - Kayla M Teopiz
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
| | - Rodrigo B Mansur
- Department of Psychiatry (McIntyre, Rosenblat, Mansur) and Department of Pharmacology and Toxicology (McIntyre, Rosenblat, Mansur), University of Toronto, Toronto; Brain and Cognition Discovery Foundation, Toronto (McIntyre, Kwan, Teopiz); Faculty of Medicine, University of Ottawa, Ottawa (Kwan)
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Ma X, Xu H, Xie J, Zhang L, Shi M, Li Z. The causal relationship between risk of developing bronchial asthma and frailty: a bidirectional two-sample Mendelian randomization study. Front Med (Lausanne) 2023; 10:1289026. [PMID: 38162888 PMCID: PMC10755022 DOI: 10.3389/fmed.2023.1289026] [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: 09/25/2023] [Accepted: 11/24/2023] [Indexed: 01/03/2024] Open
Abstract
Background A potential link between asthma and frailty has been suggested in previous studies. However, the nature of the causal relationship between these two conditions warrants further investigation. Therefore, this study assessed the bidirectional causality between asthma and frailty risk using two-sample Mendelian randomization (MR). Methods The study data were obtained from the genome-wide association study (GWAS) dataset, with 337,159 samples representing asthma data and 175,226 samples representing frailty. The causal relationship between the two disorders was assessed by selecting the single nucleotide polymorphisms (SNPs), significantly associated with both asthma and frailty. The inverse variance weighting (IVW) method was used as the main analytical method to estimate the possible influence of causality. Sensitivity analysis was also performed using Mr-Egger intercept, funnel plot, "leave-one-out," and Cochran Q test. In addition, potential mediators were investigated by risk factor analysis. Result The IVW method showed an increased risk of frailty due to increased genetic susceptibility factors and the number of to asthma (OR = 2.325, 95%CI:1.958-2.761; p = 6.527498e-22), while no horizontal pleiotropy was observed for the Mr-Egger intercept (p = 0.609) and the funnel plot. The Cochran Q value was 72.858, p = 0.024, and there was heterogeneity in the Cochran Q-value. No single SNP was observed for "leave-one-out" that had a biasing effect on the instrumental variables. In addition, genetic susceptibility to frailty was associated with asthma (OR = 1.088, 95%CI:1.058-1.119; p = 4.815589e-09). In the causal relationship described above, several risk factors for frailty are complex, with asthma leading to a significant reduction in physical activity endurance. Conclusion Our findings suggest a probable positive causal effect of asthma on the risk of developing frailty, potentially mediated by reduced physical activity endurance. At the same time, a causal relationship exists between frailty and asthma. Therefore, assessment strategies for frailty should include asthma and vice versa.
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Affiliation(s)
- Xiao Ma
- Anhui University of Chinese Medicine, Hefei, China
- Department of Respiration, Wuhu Traditional Chinese Medicine Hospital, Wuhu, China
| | - Haoran Xu
- Anhui University of Chinese Medicine, Hefei, China
| | - Jinghui Xie
- Anhui University of Chinese Medicine, Hefei, China
| | - Lu Zhang
- Anhui University of Chinese Medicine, Hefei, China
| | - Mengyao Shi
- Anhui University of Chinese Medicine, Hefei, China
| | - Zegeng Li
- Anhui University of Chinese Medicine, Hefei, China
- The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
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Chen W, Feng J, Jiang S, Guo J, Zhang X, Zhang X, Wang C, Ma Y, Dong Z. Mendelian randomization analyses identify bidirectional causal relationships of obesity with psychiatric disorders. J Affect Disord 2023; 339:807-814. [PMID: 37474010 DOI: 10.1016/j.jad.2023.07.044] [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: 03/22/2023] [Revised: 06/25/2023] [Accepted: 07/08/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Obesity have been showed to be strongly associated with psychiatric disorders, but the exact causality and the direction of the relationship remain inconclusive. Thus, we aimed to identify the causal associations between obesity and psychiatric disorders using two-sample Mendelian randomization (MR). METHODS Single-nucleotide polymorphisms associated with obesity, including body mass index (BMI), waist-hip ratio (WHR), and waist-hip ratio adjusted for BMI (WHRadjBMI), were extracted from a genome-wide association study of 694,649 European ancestry from the GIANT consortium. Summary level data for 10 psychiatric disorders were obtained from the Psychiatric Genomics Consortium. Inverse-variance weighted (IVW) method was used as the primary analysis, while several sensitivity analyses were applied to evaluate heterogeneity and pleiotropy. RESULTS The main MR results suggested higher BMI or WHR was positively causally associated with an increased risk of attention deficit hyperactivity disorder (ADHD), anorexia nervosa (AN), post-traumatic stress disorder (PTSD), major depressive disorder (MDD) and Alzheimer's disease (ALZ), but negatively causally associated with an increased risk of obsessive-compulsive disorder (OCD) and schizophrenia. For the reverse direction, ADHD and MDD were associated with an increased risk of obesity, but schizophrenia and ALZ were associated with a decreased risk of obesity. CONCLUSION Our findings support evidence of causal relationships between obesity and ADHD, MDD, PTSD, ALZ, SCZ, AN, and OCD, and confirmed the bidirectional causal relationships between obesity and ADHD, MDD, SCZ, and ALZ.
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Affiliation(s)
- Wenhui Chen
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
| | - Jia Feng
- Institute of Biomedicine, Department of Cellular Biology, Jinan University, Guangzhou 510632, China
| | - Shuwen Jiang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
| | - Jie Guo
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
| | - XiaoLin Zhang
- Department of General Surgery, The Fifth Affiliated Hospital of Jinnan University (Shenhe People's Hospital), Heyuan 517300, China
| | - Xiaoguan Zhang
- Department of General Surgery, Dalang Hospital of Dongguan, Dongguan 523000, China
| | - Cunchuan Wang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
| | - Yi Ma
- Institute of Biomedicine, Department of Cellular Biology, Jinan University, Guangzhou 510632, China.
| | - Zhiyong Dong
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.
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Zhang Y, Yang M, Li M. Causality between sarcopenia-related traits and major depressive disorder: A bi-directional, two-sample Mendelian randomized study. Medicine (Baltimore) 2023; 102:e35071. [PMID: 37800817 PMCID: PMC10553098 DOI: 10.1097/md.0000000000035071] [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: 06/27/2023] [Accepted: 08/14/2023] [Indexed: 10/07/2023] Open
Abstract
Observational studies have demonstrated an association between sarcopenia and depression. However, these studies may be influenced by confounding factors, and the causal relationship between sarcopenia and major depressive disorder (MDD) remains unclear. This study aimed to apply the Mendelian randomization (MR) method to address confounding factors and assess the causal effect of sarcopenia on MDD. A two-way, two-sample MR method was employed in this study. Instrumental variables of genome-wide significance level were obtained from the open large-scale genome-wide association study summary data. MR analysis was conducted using inverse variance weighted, MR-Egger, and weighted median methods. The reliability of the results was verified using the heterogeneity test, pleiotropy test, and leave-one-out method for sensitivity analysis. Grip strength (right-hand grip strength: odds ratio [OR] = 0.880, 95% confidence interval [CI] 0.786-0.987, P = .027; left-hand grip strength: OR = 0.814, 95% CI 0.725-0.913, P < .001) and usual walking pace (OR = 0.673, 95% CI 0.506-0.896, P = .007) exhibited a direct causal effect on MDD. MDD had a significant causal effect on appendicular lean mass (β = -0.065, 95% CI -0.110, -0.019, P = .005). There was a causal relationship between sarcopenia-related traits and MDD. Loss of muscle strength, rather than skeletal muscle mass, is correlated with an increased risk of MDD. Furthermore, individuals with MDD are more likely to experience loss of skeletal muscle mass.
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Affiliation(s)
- Yu Zhang
- Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
- Shaanxi Provincial Hospital of Chinese Medicine, Xi’an, Shaanxi, China
| | - Mengfan Yang
- Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Mingquan Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
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8
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Berk M, Köhler-Forsberg O, Turner M, Penninx BWJH, Wrobel A, Firth J, Loughman A, Reavley NJ, McGrath JJ, Momen NC, Plana-Ripoll O, O'Neil A, Siskind D, Williams LJ, Carvalho AF, Schmaal L, Walker AJ, Dean O, Walder K, Berk L, Dodd S, Yung AR, Marx W. Comorbidity between major depressive disorder and physical diseases: a comprehensive review of epidemiology, mechanisms and management. World Psychiatry 2023; 22:366-387. [PMID: 37713568 PMCID: PMC10503929 DOI: 10.1002/wps.21110] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/17/2023] Open
Abstract
Populations with common physical diseases - such as cardiovascular diseases, cancer and neurodegenerative disorders - experience substantially higher rates of major depressive disorder (MDD) than the general population. On the other hand, people living with MDD have a greater risk for many physical diseases. This high level of comorbidity is associated with worse outcomes, reduced adherence to treatment, increased mortality, and greater health care utilization and costs. Comorbidity can also result in a range of clinical challenges, such as a more complicated therapeutic alliance, issues pertaining to adaptive health behaviors, drug-drug interactions and adverse events induced by medications used for physical and mental disorders. Potential explanations for the high prevalence of the above comorbidity involve shared genetic and biological pathways. These latter include inflammation, the gut microbiome, mitochondrial function and energy metabolism, hypothalamic-pituitary-adrenal axis dysregulation, and brain structure and function. Furthermore, MDD and physical diseases have in common several antecedents related to social factors (e.g., socioeconomic status), lifestyle variables (e.g., physical activity, diet, sleep), and stressful live events (e.g., childhood trauma). Pharmacotherapies and psychotherapies are effective treatments for comorbid MDD, and the introduction of lifestyle interventions as well as collaborative care models and digital technologies provide promising strategies for improving management. This paper aims to provide a detailed overview of the epidemiology of the comorbidity of MDD and specific physical diseases, including prevalence and bidirectional risk; of shared biological pathways potentially implicated in the pathogenesis of MDD and common physical diseases; of socio-environmental factors that serve as both shared risk and protective factors; and of management of MDD and physical diseases, including prevention and treatment. We conclude with future directions and emerging research related to optimal care of people with comorbid MDD and physical diseases.
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Affiliation(s)
- Michael Berk
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Megan Turner
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Brenda W J H Penninx
- Department of Psychiatry and Amsterdam Public Health, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Anna Wrobel
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Amy Loughman
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Nicola J Reavley
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - John J McGrath
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Queensland Centre for Mental Health Research, Park Centre for Mental Health, Brisbane, QLD, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Natalie C Momen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Oleguer Plana-Ripoll
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Adrienne O'Neil
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Dan Siskind
- Queensland Centre for Mental Health Research, Park Centre for Mental Health, Brisbane, QLD, Australia
- Metro South Addiction and Mental Health Service, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Lana J Williams
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Andre F Carvalho
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Lianne Schmaal
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Adam J Walker
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Olivia Dean
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Ken Walder
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Lesley Berk
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Seetal Dodd
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Alison R Yung
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Wolfgang Marx
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia
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9
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Bordelois P, Koenen KC, Elkind MSV, Suglia SF, Keyes KM. Childhood internalizing and externalizing problems and cardiovascular and diabetes mellitus risk in adolescence. J Affect Disord 2023; 335:239-247. [PMID: 37149053 PMCID: PMC10809325 DOI: 10.1016/j.jad.2023.04.084] [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: 12/06/2022] [Revised: 03/22/2023] [Accepted: 04/18/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND Among adults, common psychopathology is a risk factor for cardiovascular diseases (CVD) and type 2 diabetes mellitus (T2DM). We investigated whether childhood internalizing and externalizing problems are prospectively associated with clinically elevated CVD and T2DM risk factors in adolescence. METHODS Data were from the Avon Longitudinal Study of Parents and Children. Childhood internalizing (emotional) and externalizing (hyperactivity and conduct) problems were rated on the Strengths and Difficulties Questionnaire (parent version) (N = 6442). BMI was measured at age 15 and triglycerides, low-density lipoprotein cholesterol and homeostasis model assessment of insulin resistance, IR, were assessed at age 17. We estimated associations using multivariate log-linear regression. Models were adjusted for confounding and participants attrition. RESULTS Children with hyperactivity or conduct problems were more likely to become obese and to develop clinically high levels of triglycerides and HOMA-IR in adolescence. In fully adjusted models, IR was associated with hyperactivity (relative risk, RR = 1.35, 95 % confidence interval, CI = 1.00-1.81) and conduct problems (RR = 1.37, CI = 1.06-1.78). High triglycerides were associated with hyperactivity (RR = 2.05, CI = 1.41-2.98) and with conduct problems (RR = 1.85, CI = 1.32-2.59). BMI only minimally explained these associations. Emotional problems were not associated with increased risk. LIMITATIONS Residual attrition bias, reliance on parent's reports of children's behaviors, non-diverse sample. CONCLUSIONS This research suggests that childhood externalizing problems might be a novel independent risk factor for CVD/T2DM. Future research should corroborate these findings and investigate mechanisms. Pediatricians may need to assess and treat CVD/T2DM risk factors in adolescents with a history of externalizing problems.
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Affiliation(s)
- Paula Bordelois
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
| | - Mitchell S V Elkind
- Division of Neurology Clinical Outcomes Research and Population Sciences (NeuroCORPS), Columbia University, New York, NY, United States of America
| | - Shakira F Suglia
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, United States of America
| | - Katherine M Keyes
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America
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10
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Baranova A, Chandhoke V, Cao H, Zhang F. Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder. Gen Psychiatr 2023; 36:e100996. [PMID: 36937092 PMCID: PMC10016243 DOI: 10.1136/gpsych-2022-100996] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/22/2023] [Indexed: 03/17/2023] Open
Abstract
Background Type 2 diabetes (T2D) is a chronic metabolic disorder with high comorbidity with mental disorders. The genetic links between attention-deficit/hyperactivity disorder (ADHD) and T2D have yet to be elucidated. Aims We aim to assess shared genetics and potential associations between ADHD and T2D. Methods We performed genetic correlation, two-sample Mendelian randomisation and polygenic overlap analyses between ADHD and T2D. The genome-wide association study (GWAS) summary results of T2D (80 154 cases and 853 816 controls), ADHD2019 (20 183 cases and 35 191 controls from the 2019 GWAS ADHD dataset) and ADHD2022 (38 691 cases and 275 986 controls from the 2022 GWAS ADHD dataset) were used for the analyses. The T2D dataset was obtained from the DIAGRAM Consortium. The ADHD datasets were obtained from the Psychiatric Genomics Consortium. We compared genome-wide association signals to reveal shared genetic variation between T2D and ADHD using the larger ADHD2022 dataset. Moreover, molecular pathways were constructed based on large-scale literature data to understand the connection between ADHD and T2D. Results T2D has positive genetic correlations with ADHD2019 (rg=0.33) and ADHD2022 (rg=0.31). Genetic liability to ADHD2019 was associated with an increased risk for T2D (odds ratio (OR): 1.30, p<0.001), while genetic liability to ADHD2022 had a suggestive causal effect on T2D (OR: 1.30, p=0.086). Genetic liability to T2D was associated with a higher risk for ADHD2019 (OR: 1.05, p=0.001) and ADHD2022 (OR: 1.03, p<0.001). The polygenic overlap analysis showed that most causal variants of T2D are shared with ADHD2022. T2D and ADHD2022 have three overlapping loci. Molecular pathway analysis suggests that ADHD and T2D could promote the risk of each other through inflammatory pathways. Conclusions Our study demonstrates substantial shared genetics and bidirectional causal associations between ADHD and T2D.
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Affiliation(s)
- Ancha Baranova
- School of Systems Biology, George Mason University, Fairfax, Virginia, USA
- Research Centre for Medical Genetics, Moscow, Russian Federation
| | - Vikas Chandhoke
- School of Systems Biology, George Mason University, Fairfax, Virginia, USA
| | - Hongbao Cao
- School of Systems Biology, George Mason University, Fairfax, Virginia, USA
| | - Fuquan Zhang
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
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