1
|
Wang XL, Feng HL, Xu XZ, Liu J, Han X. Relationship between cognitive function and weight-adjusted waist index in people ≥ 60 years old in NHANES 2011-2014. Aging Clin Exp Res 2024; 36:30. [PMID: 38334839 PMCID: PMC10857983 DOI: 10.1007/s40520-023-02649-8] [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: 08/03/2023] [Accepted: 12/04/2023] [Indexed: 02/10/2024]
Abstract
BACKGROUND Widespread attention has been given to the detrimental effects of obesity on cognitive function. However, there is no evidence on the connection between low cognitive performance and the WWI (weight-adjusted waist index). This study looked into the connection between poor cognitive performance and the WWI in senior Americans. METHODS A cross-sectional research study was carried out with information from the NHANES 2011-2014. With multivariate linear regression models, the pertinence between the WWI and low cognitive function in persons older than 60 years was examined. The nonlinear link was described using threshold effect analyses and fitted smoothed curves. Interaction tests and subgroup analysis were also conducted. RESULTS The study had 2762 individuals in all, and subjects with higher WWI values were at greater risk for low cognitive function. In the completely adjusted model, the WWI was positively connected with low cognitive performance assessed by CERAD W-L (OR = 1.22, 95% CI 1.03-1.45, p = 0.0239), AFT (OR = 1.30, 95% CI 1.09-1.54, p = 0.0029), and DSST (OR = 1.59, 95% CI 1.30-1.94, p < 0.0001). The effect of each subgroup on the positive correlation between the WWI and low cognitive performance was not significant. The WWI and low cognitive performance as determined by CERAD W-L and AFT had a nonlinear connection (log-likelihood ratio < 0.05). CONCLUSION Among older adults in the United States, the risk of low cognitive performance may be positively related to the WWI.
Collapse
Affiliation(s)
- Xue-Li Wang
- First Clinic Medical School, Nanjing University of Chinese Medicine, Nanjing, China
| | - Hong-Lin Feng
- First Clinic Medical School, Nanjing University of Chinese Medicine, Nanjing, China
| | - Xiao-Zhuo Xu
- First Clinic Medical School, Nanjing University of Chinese Medicine, Nanjing, China
| | - Jing Liu
- First Clinic Medical School, Nanjing University of Chinese Medicine, Nanjing, China
| | - Xu Han
- Geriatric Department, Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong Road, Nanjing, China.
| |
Collapse
|
2
|
John M, Lencz T. Potential application of elastic nets for shared polygenicity detection with adapted threshold selection. Int J Biostat 2023; 19:417-438. [PMID: 36327464 PMCID: PMC10154439 DOI: 10.1515/ijb-2020-0108] [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: 01/28/2020] [Accepted: 10/05/2022] [Indexed: 11/06/2022]
Abstract
Current research suggests that hundreds to thousands of single nucleotide polymorphisms (SNPs) with small to modest effect sizes contribute to the genetic basis of many disorders, a phenomenon labeled as polygenicity. Additionally, many such disorders demonstrate polygenic overlap, in which risk alleles are shared at associated genetic loci. A simple strategy to detect polygenic overlap between two phenotypes is based on rank-ordering the univariate p-values from two genome-wide association studies (GWASs). Although high-dimensional variable selection strategies such as Lasso and elastic nets have been utilized in other GWAS analysis settings, they are yet to be utilized for detecting shared polygenicity. In this paper, we illustrate how elastic nets, with polygenic scores as the dependent variable and with appropriate adaptation in selecting the penalty parameter, may be utilized for detecting a subset of SNPs involved in shared polygenicity. We provide theory to better understand our approaches, and illustrate their utility using synthetic datasets. Results from extensive simulations are presented comparing the elastic net approaches with the rank ordering approach, in various scenarios. Results from simulations studies exhibit one of the elastic net approaches to be superior when the correlations among the SNPs are high. Finally, we apply the methods on two real datasets to illustrate further the capabilities, limitations and differences among the methods.
Collapse
Affiliation(s)
- Majnu John
- Institute of Behavioral Science, Feinstein Institutes of Medical Research, Manhasset, NY
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health System, Glen Oaks, NY
- Departments of Psychiatry and of Mathematics, Hofstra University, Hempstead, NY
| | - Todd Lencz
- Institute of Behavioral Science, Feinstein Institutes of Medical Research, Manhasset, NY
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health System, Glen Oaks, NY
- Departments of Psychiatry and of Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| |
Collapse
|
3
|
Chen J, Yang N, Peng Y, Zhou H, Li Q. Association between Nonfood Pre- or Probiotic Use and Cognitive Function: Results from NHANES 2011-2014. Nutrients 2023; 15:3408. [PMID: 37571344 PMCID: PMC10421231 DOI: 10.3390/nu15153408] [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: 07/14/2023] [Revised: 07/26/2023] [Accepted: 07/28/2023] [Indexed: 08/13/2023] Open
Abstract
In this study, we collected data from the National Health and Nutrition Examination Survey (NHANES) for the years 2011-2014. Multiple linear regression and logistic regression were used to analyse the association between nonfood pro- or prebiotic use and cognitive function among elderly Americans. To estimate the potential unobserved results, propensity score matching (PSM) was used to analyse the causal effect. Nonfood pro- or prebiotic use was analysed through the Dietary Supplement Use 30-Day Study. Cognitive function was evaluated by the Digit Symbol Substitution Test (DSST), the Animal Fluency Test (AFT), the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), and a composite Z-score calculated by summing the Z-scores of three tests. Male participants who used nonfood pro- or prebiotics tended to have higher comprehensive cognitive function (sum.z) with a β-coefficient of 0.64 (95% CI: 0.08-1.19). Probiotics or prebiotics may be a protective factor against cognitive impairment in males, with an odds ratio of 0.08 (95% CI: 0.02-0.29). Furthermore, the average treatment effect for the treated (ATT) with nonfood pro- or prebiotics (0.555) on sum.z in males was statistically significant (p < 0.05). Our research revealed that nonfood pre- or probiotic use was an effective method to improve cognitive function in elderly men from the USA.
Collapse
Affiliation(s)
- Jingyi Chen
- Institute of Precision Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou 515041, China; (J.C.); (N.Y.)
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China;
| | - Nian Yang
- Institute of Precision Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou 515041, China; (J.C.); (N.Y.)
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China;
| | - Yilei Peng
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China;
| | - Honghao Zhou
- Institute of Precision Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou 515041, China; (J.C.); (N.Y.)
| | - Qing Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China;
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, China
| |
Collapse
|
4
|
Arrona-Cardoza P, Labonté K, Cisneros-Franco JM, Nielsen DE. The Effects of Food Advertisements on Food Intake and Neural Activity: A Systematic Review and Meta-Analysis of Recent Experimental Studies. Adv Nutr 2023; 14:339-351. [PMID: 36914293 DOI: 10.1016/j.advnut.2022.12.003] [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: 08/03/2022] [Revised: 12/01/2022] [Accepted: 12/22/2022] [Indexed: 01/01/2023] Open
Abstract
Food advertisements are ubiquitous in our daily environment. However, the relationships between exposure to food advertising and outcomes related to ingestive behavior require further investigation. The objective was to conduct a systematic review and meta-analysis of behavioral and neural responses to food advertising in experimental studies. PubMed, Web of Science, and Scopus were searched for articles published from January 2014 to November 2021 using a search strategy following PRISMA guidelines. Experimental studies conducted with human participants were included. A random-effects inverse-variance meta-analysis was performed on standardized mean differences (SMD) of food intake (behavioral outcome) between the food advertisement and nonfood advertisement conditions of each study. Subgroup analyses were performed by age, BMI group, study design, and advertising media type. A seed-based d mapping meta-analysis of neuroimaging studies was performed to evaluate neural activity between experimental conditions. Nineteen articles were eligible for inclusion, 13 for food intake (n = 1303) and 6 for neural activity (n = 303). The pooled analysis of food intake revealed small, but statistically significant, effects of increased intake after viewing food advertising compared with the control condition among adults and children (adult SMD: 0.16; 95% CI: 0.03, 0.28; P = 0.01; I2 = 0; 95% CI: 0, 95.0%; Children SMD: 0.25; 95% CI: 0.14, 0.37; P < 0.0001; I2 = 60.4%; 95% CI: 25.6%, 79.0%). The neuroimaging studies involved children only, and the pooled analysis corrected for multiple comparisons identified one significant cluster, the middle occipital gyrus, with increased activity after food advertising exposure compared with the control condition (peak coordinates: 30, -86, 12; z-value: 6.301, size: 226 voxels; P < 0.001). These findings suggest that acute exposure to food advertising increases food intake among children and adults and that the middle occipital gyrus is an implicated brain region among children. (PROSPERO registration: CRD42022311357).
Collapse
Affiliation(s)
| | - Katherine Labonté
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Canada
| | - José Miguel Cisneros-Franco
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Canada; Desautels Faculty of Management, McGill University, Montreal, Canada
| | - Daiva E Nielsen
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Canada.
| |
Collapse
|
5
|
Wang X, Sundermann EE, Buckley RF, Reas ET, McEvoy LK, Banks SJ. Sex Differences in the Associations of Obesity with Tau, Amyloid PET, and Cognitive Outcomes in Preclinical Alzheimer's Disease: Cross-Sectional A4 Study. J Alzheimers Dis 2023; 95:615-624. [PMID: 37574737 DOI: 10.3233/jad-230466] [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] [Indexed: 08/15/2023]
Abstract
BACKGROUND The association between obesity and Alzheimer's disease (AD) is complex. Recent studies indicated the relationships between obesity and AD may differ by sex, and women may benefit from being overweight in terms of AD risk. OBJECTIVE We investigated whether sex modifies the associations of obesity with tau positron emission tomography (PET), amyloid PET, and cognition in preclinical AD. METHODS We included 387 cognitively-unimpaired amyloid-positive participants (221 women, 166 men, 87.6% non-Hispanic White) with available 18F-flortaucipir PET, 18F-florbetapir PET, and completed the Preclinical Alzheimer Cognitive Composite (PACC) tests from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) study. Participants were categorized based on body mass index (BMI: kg/m2): normal-weight (BMI: 18.5-25), overweight (BMI: 25-30), and obese (BMI≥30). RESULTS Significant sex by BMI category interactions on PACC and its components: Mini-Mental State Examination (MMSE) and Reminding Test-Free+Total Recall (FCSRT96) revealed that overweight and obese women outperformed normal-weight women on FCSRT96, while obese men showed poorer MMSE performance than normal-weight men. These interactions were independent of APOE4. There were no significant interactions of sex by BMI category on tau and amyloid PET. However, sex-stratified analyses observed obesity was associated with less regional tau and mean cortical amyloid in women, not in men. CONCLUSION This study found that in preclinical AD, overweight and obesity were associated with better verbal memory in women, whereas obesity was associated with worse global cognition among men. Future studies focusing on the mechanism for this relationship may inform sex-specific interventions for AD prevention.
Collapse
Affiliation(s)
- Xin Wang
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Erin E Sundermann
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Rachel F Buckley
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Emilie T Reas
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Linda K McEvoy
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Sarah J Banks
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| |
Collapse
|
6
|
Yang M, Cui Y, Xue M, Forster MT, Lang X, Xiu M, Li Z, Zhang X. Sexual dimorphism in the relationship between Forkhead-Box P2 and BMI with cognitive deficits in schizophrenia. Front Aging Neurosci 2022; 14:920352. [PMID: 35992594 PMCID: PMC9381810 DOI: 10.3389/fnagi.2022.920352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 07/06/2022] [Indexed: 11/13/2022] Open
Abstract
FOXP2, cognitive deficits, and schizophrenia are associated with neurodegenerative pathophyisiology. Mounting evidence suggests that body mass index (BMI) and FOXP2 may contribute to cognitive deficits in schizophrenia. However, the sex difference in the contribution of FOXP2 and BMI, as well as their potential interaction with cognitive deficits in schizophrenia, have not been investigated. A total of 867 schizophrenia patients and 402 controls were recruited. Cognitive function was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The polymorphism rs10447760 of the FOXP2 gene was genotyped. Male schizophrenia patients had superior language performance compared to female patients (F = 17.83; pBonferroni < 0.0001). BMI was positively associated with language scores in male patients with schizophrenia (ß = 0.60, t = 3.30, p = 0.001), as well as in patients with schizophrenia who carried the FOXP2 rs10447760 CC genotype (ß = 0.53, t = 3.16, p = 0.002). Interestingly, this association was only found in male patients with schizophrenia who also carried the FOXP2 rs10447760 CC genotype (ß = 0.63, t = 3.44, p = 0.001). Our study reveals a sex difference in the language deficits of schizophrenia patients and shows sexual dimorphism in the contribution of FOXP2, BMI, and their interaction to cognitive deficits in patients with schizophrenia.
Collapse
Affiliation(s)
- Mi Yang
- The Fourth Hospital of Chengdu, Chengdu, China
| | - Ying Cui
- Qingdao Mental Health Center, Qingdao, China
| | - Mei Xue
- Qingdao Mental Health Center, Qingdao, China
| | - Mattew T. Forster
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Xiaoe Lang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Meihong Xiu
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
- *Correspondence: Zezhi Li Meihong Xiu Xiangyang Zhang
| | - Zezhi Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
- *Correspondence: Zezhi Li Meihong Xiu Xiangyang Zhang
| | - Xiangyang Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Zezhi Li Meihong Xiu Xiangyang Zhang
| |
Collapse
|
7
|
Liu H, Wang Z, Zou L, Gu S, Zhang M, Hukportie DN, Zheng J, Zhou R, Yuan Z, Wu K, Huang Z, Zhong Q, Huang Y, Wu X. Favourable Lifestyle Protects Cognitive Function in Older Adults With High Genetic Risk of Obesity: A Prospective Cohort Study. Front Mol Neurosci 2022; 15:808209. [PMID: 35677584 PMCID: PMC9169719 DOI: 10.3389/fnmol.2022.808209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
The relationship between body mass index (BMI) and cognitive impairment remains controversial, especially in older people. This study aims to confirm the association of phenotypic and genetic obesity with cognitive impairment and the benefits of adhering to a healthy lifestyle. This prospective study included 10,798 participants (aged ≥ 50 years) with normal cognitive function from the Health and Retirement Study in the United States. Participants were divided into low (lowest quintile), intermediate (quintiles 2–4), and high (highest quintile) groups according to their polygenic risk score (PRS) for BMI. The risk of cognitive impairment was estimated using Cox proportional hazard models. Higher PRS for BMI was associated with an increased risk, whereas phenotypic obesity was related to a decreased risk of cognitive impairment. Never smoking, moderate drinking, and active physical activity were considered favourable and associated with a lower risk of cognitive impairment compared with current smoking, never drinking, and inactive, respectively. A favourable lifestyle was associated with a low risk of cognitive impairment, even in subjects with low BMI and high PRS for BMI. This study suggest that regardless of obesity status, including phenotypic and genetic, adhering to a favourable lifestyle is beneficial to cognitive function.
Collapse
Affiliation(s)
- Huamin Liu
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhenghe Wang
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Lianwu Zou
- Baiyun Jingkang Hospital, Guangzhou, China
| | | | - Minyi Zhang
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Daniel Nyarko Hukportie
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Jiazhen Zheng
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Rui Zhou
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zelin Yuan
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Keyi Wu
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhiwei Huang
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Qi Zhong
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yining Huang
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xianbo Wu
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
- *Correspondence: Xianbo Wu,
| |
Collapse
|
8
|
Zhang Y, Huang B, Yang W, Zhong S, Lai S, Zhao H, He J, Cai S, Lv S, Wang C, Jia Y. Correlations Between Endocrine Hormones and Cognitive Function in Patients with Obesity: a Cross-sectional Study. Obes Surg 2022; 32:2299-2308. [PMID: 35486288 DOI: 10.1007/s11695-022-06076-y] [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: 10/26/2021] [Revised: 04/15/2022] [Accepted: 04/20/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Obesity not only affects physical and mental conditions, but also influences cognitive function. Endocrine hormones may influence the risk of obesity and severe obesity. Our study investigated the influences of changes in levels of endocrine hormones on cognitive function in patients with obesity and severe obesity. METHODS We used the MATRICS Consensus Cognitive Battery (MCCB) to evaluate cognitive function in the groups of healthy control (HC), obesity (OB), and severe obesity (SOB). We detected the levels of endocrine hormones and cortisol at 8:00 am in the three groups. We statistically analyzed differences in cognitive function and levels of endocrine hormones among the three groups, and performed linear correlation analysis of cortisol level and cognitive function. Using mediation analysis, we assessed the influences of body mass index (BMI) on endocrine levels and cognitive function. RESULTS Our findings revealed that OB and SOB groups exhibited a lower level of cortisol than HC group. Among the three groups, we found significant differences in verbal learning (F = 4.433, P = 0.014), social cognition (F = 4.778, P = 0.010), and total cognition (F = 2.989, P = 0.008). After post hoc Bonferroni correction, we noted that SOB group had worse scores in the above-mentioned three areas than OB and HC groups. Moreover, except for working memory and visual cognition, we identified that the degree of cognitive impairment in SOB group was more severe than that in OB group. In our study, mediation analysis showed a mediating effect of BMI on cortisol level and verbal learning. We also found correlations between cortisol level and attention/alertness (r = 0.277, P = 0.003), between cortisol level and verbal learning (r = 0.205, P = 0.030), and between BMI and verbal learning (r = - 0.192, P = 0.043). CONCLUSION In our study, patients in both OB and SOB groups experienced a widespread cognitive impairment. We also found that patients with severe obesity had more severe cognitive impairment. Cognitive impairment could be mediated by abnormal cortisol metabolism, and BMI could be a mediating factor in regulation of cortisol level.
Collapse
Affiliation(s)
- Yiliang Zhang
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China
| | - Biao Huang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China.,Joint Institute of Metabolic Medicine Between State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong and Jinan University, Guangzhou, China
| | - Wah Yang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China.,Joint Institute of Metabolic Medicine Between State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong and Jinan University, Guangzhou, China
| | - Shuming Zhong
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China
| | - Shunkai Lai
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China
| | - Hui Zhao
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China
| | - Jiali He
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China
| | - Shujing Cai
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China
| | - Sihui Lv
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China
| | - Cunchuan Wang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China. .,Joint Institute of Metabolic Medicine Between State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong and Jinan University, Guangzhou, China.
| | - Yanbin Jia
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, No. 613, Huangpu Avenue West, Guangzhou, Guangdong, China.
| | | |
Collapse
|
9
|
Wickrama KKAS, Lee TK, Klopack ET, Lee S, O'Neal CW. Patterns of Co-occurring Developmental Failures in Adolescence: Socioeconomic and Genetic Antecedents and Health Outcomes in Adulthood. BIODEMOGRAPHY AND SOCIAL BIOLOGY 2022; 67:102-121. [PMID: 35321604 DOI: 10.1080/19485565.2022.2052710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This study investigates (1) conjoint latent classes of adolescent co-occurring developmental problems (obesity, depressive symptoms, and low educational attainment), (2) socioeconomic and genetic influences on these classes of adolescents' problem trajectories, and (3) physical health consequences of those latent classes. Data from the National Longitudinal Study of Adolescent to Adult Health (Add Health; N = 9,107; mean age = 15.5 years; Female = 52.9 per cent) were used to identify classes of early socioeconomic adversity and conjoint trajectory groups of co-occurring developmental problems. Profiles of social antecedents, genetic endowments (polygenic scores), and physical health outcomes in young adulthood were compared across identified four conjoint trajectory risk groups (overall high-risk, overall low-risk, BMI-risk or obesity, low education-risk). The results showed that youth with overall high-risk and BMI/education-specific risk trajectory groups were more likely to be Black or Hispanic, reported more adverse socioeconomic characteristics and genetic endowment, and averaged significantly poorer physical health in young adulthood compared with youth in the overall low-risk problem trajectory group. Less pronounced differences emerged between the high-risk and problem-specific-risk groups. The findings highlight heterogeneity in adolescent co-occurring developmental problems. Adolescent heterogeneous problem co-development is associated with background socioeconomic and genetic characteristics and physical health in young adulthood.
Collapse
Affiliation(s)
- Kandauda K A S Wickrama
- Department of Human Development and Family Science, The University of Georgia, Athens, Georgia, United States of America
| | - Tae Kyoung Lee
- Department of Child Psychology and Education/ Social Innovation Convergence Program, Sungkyunkwan University, Seoul, Republic of Korea
| | - Eric T Klopack
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California United States of America
| | - Seonhwa Lee
- Graduate School of Human Services Studies, Seoul Women's University, Seoul, Republic of Korea
| | - Catherine Walker O'Neal
- Department of Human Development and Family Science, The University of Georgia, Athens, Georgia, United States of America
| |
Collapse
|
10
|
Cataloging the potential SNPs (single nucleotide polymorphisms) associated with quantitative traits, viz. BMI (body mass index), IQ (intelligence quotient) and BP (blood pressure): an updated review. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2022. [DOI: 10.1186/s43042-022-00266-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Single nucleotide polymorphism (SNP) variants are abundant, persistent and widely distributed across the genome and are frequently linked to the development of genetic diseases. Identifying SNPs that underpin complex diseases can aid scientists in the discovery of disease-related genes by allowing for early detection, effective medication and eventually disease prevention.
Main body
Various SNP or polymorphism-based studies were used to categorize different SNPs potentially related to three quantitative traits: body mass index (BMI), intelligence quotient (IQ) and blood pressure, and then uncovered common SNPs for these three traits. We employed SNPedia, RefSNP Report, GWAS Catalog, Gene Cards (Data Bases), PubMed and Google Scholar search engines to find relevant material on SNPs associated with three quantitative traits. As a result, we detected three common SNPs for all three quantitative traits in global populations: SNP rs6265 of the BDNF gene on chromosome 11p14.1, SNP rs131070325 of the SL39A8 gene on chromosome 4p24 and SNP rs4680 of the COMT gene on chromosome 22q11.21.
Conclusion
In our review, we focused on the prevalent SNPs and gene expression activities that influence these three quantitative traits. These SNPs have been used to detect and map complex, common illnesses in communities for homogeneity testing and pharmacogenetic studies. High blood pressure, diabetes and heart disease, as well as BMI, schizophrenia and IQ, can all be predicted using common SNPs. Finally, the results of our work can be used to find common SNPs and genes that regulate these three quantitative features across the genome.
Collapse
|
11
|
Vysotskiy M, Zhong X, Miller-Fleming TW, Zhou D, Cox NJ, Weiss LA. Integration of genetic, transcriptomic, and clinical data provides insight into 16p11.2 and 22q11.2 CNV genes. Genome Med 2021; 13:172. [PMID: 34715901 PMCID: PMC8557010 DOI: 10.1186/s13073-021-00972-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 09/16/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Deletions and duplications of the multigenic 16p11.2 and 22q11.2 copy number variant (CNV) regions are associated with brain-related disorders including schizophrenia, intellectual disability, obesity, bipolar disorder, and autism spectrum disorder (ASD). The contribution of individual CNV genes to each of these identified phenotypes is unknown, as well as the contribution of these CNV genes to other potentially subtler health implications for carriers. Hypothesizing that DNA copy number exerts most effects via impacts on RNA expression, we attempted a novel in silico fine-mapping approach in non-CNV carriers using both GWAS and biobank data. METHODS We first asked whether gene expression level in any individual gene in the CNV region alters risk for a known CNV-associated behavioral phenotype(s). Using transcriptomic imputation, we performed association testing for CNV genes within large genotyped cohorts for schizophrenia, IQ, BMI, bipolar disorder, and ASD. Second, we used a biobank containing electronic health data to compare the medical phenome of CNV carriers to controls within 700,000 individuals in order to investigate the full spectrum of health effects of the CNVs. Third, we used genotypes for over 48,000 individuals within the biobank to perform phenome-wide association studies between imputed expressions of individual 16p11.2 and 22q11.2 genes and over 1500 health traits. RESULTS Using large genotyped cohorts, we found individual genes within 16p11.2 associated with schizophrenia (TMEM219, INO80E, YPEL3), BMI (TMEM219, SPN, TAOK2, INO80E), and IQ (SPN), using conditional analysis to identify upregulation of INO80E as the driver of schizophrenia, and downregulation of SPN and INO80E as increasing BMI. We identified both novel and previously observed over-represented traits within the electronic health records of 16p11.2 and 22q11.2 CNV carriers. In the phenome-wide association study, we found seventeen significant gene-trait pairs, including psychosis (NPIPB11, SLX1B) and mood disorders (SCARF2), and overall enrichment of mental traits. CONCLUSIONS Our results demonstrate how integration of genetic and clinical data aids in understanding CNV gene function and implicates pleiotropy and multigenicity in CNV biology.
Collapse
Affiliation(s)
- Mikhail Vysotskiy
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, 513 Parnassus Ave., Health Sciences East 9th floor HSE901E, San Francisco, CA, 94143, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143, USA
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94143, USA
- Pharmaceutical Sciences and Pharmacogenomics Graduate Program, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Xue Zhong
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Vanderbilt Genetics Institute, Nashville, TN, 37232, USA
| | - Tyne W Miller-Fleming
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Vanderbilt Genetics Institute, Nashville, TN, 37232, USA
| | - Dan Zhou
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Vanderbilt Genetics Institute, Nashville, TN, 37232, USA
| | - Nancy J Cox
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Vanderbilt Genetics Institute, Nashville, TN, 37232, USA
| | - Lauren A Weiss
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, 513 Parnassus Ave., Health Sciences East 9th floor HSE901E, San Francisco, CA, 94143, USA.
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143, USA.
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, 94143, USA.
| |
Collapse
|
12
|
Takahashi N, Nishimura T, Harada T, Okumura A, Iwabuchi T, Rahman MS, Kuwabara H, Takagai S, Nomura Y, Takei N, Tsuchiya KJ. Association Between Genetic Risks for Obesity and Working Memory in Children. Front Neurosci 2021; 15:749230. [PMID: 34630031 PMCID: PMC8492895 DOI: 10.3389/fnins.2021.749230] [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: 07/29/2021] [Accepted: 08/26/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Obesity is highly heritable, and recent evidence demonstrates that obesity is associated with cognitive deficits, specifically working memory. However, the relationship between genetic risks for obesity and working memory is not clear. In addition, whether the effect of these genetic risks on working memory in children is mediated by increased body mass index (BMI) has not been elucidated. Methods: In order to test whether the polygenic risk score (PRS) for obesity in adulthood (adulthood-BMI-PRS) is associated with working memory at 8 years of age, and whether the effect is mediated by childhood BMI, in children from the general population, participants in the Hamamatsu Birth Cohort for Mothers and Children (HBC) study in Hamamatsu, Japan, underwent testing for association of adulthood-BMI-PRS with working memory. HBC data collection began in December 2007 and is ongoing. Adulthood-BMI-PRS values were generated using summary data from the recent genome-wide association study (GWAS) undertaken in Japan, and the significance of thresholds was calculated for each outcome. Outcomes measured included the working memory index (WMI) of Weschler Intelligence Scale-4 (WISC-IV) scores and the BMI at 8 years of age. Gene-set enrichment analysis was conducted to clarify the molecular basis common to adulthood-BMI and childhood-WMI. Mediation analysis was performed to assess whether childhood-BMI of children mediated the association between adulthood-BMI-PRS and working memory. Results: A total of 734 participants (377 males, 357 females) were analyzed. Adulthood-BMI-PRS was associated with lower childhood-WMI (β[SE], -1.807 [0.668]; p = 0.010, corrected) of WISC-IV. Gene-set enrichment analyses found that regulation of neurotrophin Trk receptor signaling (β[SE], -2.020 [6.39]; p = 0.002, corrected), negative regulation of GTPase activity (β[SE], 2.001 [0.630]; p = 0.002, corrected), and regulation of gene expression epigenetic (β[SE], -2.119 [0.664]; p = 0.002, corrected) were enriched in BMI in adulthood and WMI in childhood. Mediation analysis showed that there is no mediation effect of childhood-BMI between the adulthood-BMI-PRS and working memory deficits in children. Conclusion: Adulthood-BMI-PRS was associated with working memory among children in the general population. These genetic risks were not mediated by the childhood-BMI itself and were directly associated with working memory deficits.
Collapse
Affiliation(s)
- Nagahide Takahashi
- Department of Child and Adolescent Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Tomoko Nishimura
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Taeko Harada
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Akemi Okumura
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Toshiki Iwabuchi
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Md Shafiur Rahman
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Hitoshi Kuwabara
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Shu Takagai
- Department of Child and Adolescent Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Yoko Nomura
- Queens College and Graduate Center, City University of New York, New York, NY, United States
| | - Nori Takei
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Kenji J Tsuchiya
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.,United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| |
Collapse
|
13
|
Ronan L, Alexander-Bloch A, Fletcher PC. Childhood Obesity, Cortical Structure, and Executive Function in Healthy Children. Cereb Cortex 2021; 30:2519-2528. [PMID: 31646343 PMCID: PMC7175011 DOI: 10.1093/cercor/bhz257] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The development of executive function is linked to maturation of prefrontal cortex (PFC) in childhood. Childhood obesity has been associated with changes in brain structure, particularly in PFC, as well as deficits in executive functions. We aimed to determine whether differences in cortical structure mediate the relationship between executive function and childhood obesity. We analyzed MR-derived measures of cortical thickness for 2700 children between the ages of 9 and 11 years, recruited as part of the NIH Adolescent Brain and Cognitive Development (ABCD) study. We related our findings to measures of executive function and body mass index (BMI). In our analysis, increased BMI was associated with significantly reduced mean cortical thickness, as well as specific bilateral reduced cortical thickness in prefrontal cortical regions. This relationship remained after accounting for age, sex, race, parental education, household income, birth-weight, and in-scanner motion. Increased BMI was also associated with lower executive function. Reduced thickness in the rostral medial and superior frontal cortex, the inferior frontal gyrus, and the lateral orbitofrontal cortex partially accounted for reductions in executive function. These results suggest that childhood obesity is associated with compromised executive function. This relationship may be partly explained by BMI-associated reduced cortical thickness in the PFC.
Collapse
Affiliation(s)
- Lisa Ronan
- Department of Psychiatry, University of Cambridge, Cambridge CB2 8HA UK
| | - Aaron Alexander-Bloch
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, PA 19104, USA
| | - Paul C Fletcher
- Department of Psychiatry, University of Cambridge, Cambridge CB2 8HA UK.,Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge CB21 5EF, UK.,The Wellcome-MRC Institute of Metabolic Science-Metabolic Research Laboratories (IMS-MRL), University of Cambridge, Cambridge CB2 0QQ, UK
| |
Collapse
|
14
|
Moody JN, Valerio KE, Hasselbach AN, Prieto S, Logue MW, Hayes SM, Hayes JP. Body Mass Index and Polygenic Risk for Alzheimer's Disease Predict Conversion to Alzheimer's Disease. J Gerontol A Biol Sci Med Sci 2021; 76:1415-1422. [PMID: 33880516 PMCID: PMC8277084 DOI: 10.1093/gerona/glab117] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Indexed: 12/25/2022] Open
Abstract
Body mass index (BMI) is a risk factor for Alzheimer's disease (AD) although the relationship is complex. Obesity in midlife is associated with increased risk for AD, whereas evidence supports both higher and lower BMI increasing risk for AD in late life. This study examined the influence of individual differences in genetic risk for AD to further clarify the relationship between late-life BMI and conversion to AD. Participants included 52 individuals diagnosed as having mild cognitive impairment (MCI) at baseline who converted to AD within 24 months and 52 matched MCI participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. BMI was measured at baseline. Genetic risk for AD was assessed via genome-wide polygenic risk scores. Conditional logistic regression models were run to determine if BMI and polygenic risk predicted conversion to AD. Results showed an interaction between BMI and genetic risk, such that individuals with lower BMI and higher polygenic risk were more likely to convert to AD relative to individuals with higher BMI. These results remained significant after adjusting for cerebrospinal fluid biomarkers of AD. Exploratory sex-stratified analyses revealed this relationship only remained significant in males. These results show that higher genetic risk in the context of lower BMI predicts conversion to AD in the next 24 months, particularly among males. These findings suggest that genetic risk for AD in the context of lower BMI may serve as a prodromal risk factor for future conversion to AD.
Collapse
Affiliation(s)
- Jena N Moody
- Department of Psychology, The Ohio State University, Columbus, USA
| | - Kate E Valerio
- Department of Psychology, The Ohio State University, Columbus, USA
| | | | - Sarah Prieto
- Department of Psychology, The Ohio State University, Columbus, USA
| | - Mark W Logue
- National Center for PTSD, VA Boston Healthcare System, Massachusetts, USA.,Psychiatry and Biomedical Genetics, Boston University School of Medicine, Massachusetts, USA
| | - Scott M Hayes
- Department of Psychology, The Ohio State University, Columbus, USA.,Chronic Brain Injury Initiative, The Ohio State University, Columbus, USA
| | - Jasmeet P Hayes
- Department of Psychology, The Ohio State University, Columbus, USA.,Chronic Brain Injury Initiative, The Ohio State University, Columbus, USA
| | | |
Collapse
|
15
|
Karlsson IK, Gatz M, Arpawong TE, Dahl Aslan AK, Reynolds CA. The dynamic association between body mass index and cognition from midlife through late-life, and the effect of sex and genetic influences. Sci Rep 2021; 11:7206. [PMID: 33785811 PMCID: PMC8010114 DOI: 10.1038/s41598-021-86667-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 03/18/2021] [Indexed: 11/30/2022] Open
Abstract
Body mass index (BMI) is associated with cognitive abilities, but the nature of the relationship remains largely unexplored. We aimed to investigate the bidirectional relationship from midlife through late-life, while considering sex differences and genetic predisposition to higher BMI. We used data from 23,892 individuals of European ancestry from the Health and Retirement Study, with longitudinal data on BMI and three established cognitive indices: mental status, episodic memory, and their sum, called total cognition. To investigate the dynamic relationship between BMI and cognitive abilities, we applied dual change score models of change from age 50 through 89, with a breakpoint at age 65 or 70. Models were further stratified by sex and genetic predisposition to higher BMI using tertiles of a polygenic score for BMI (PGSBMI). We demonstrated bidirectional effects between BMI and all three cognitive indices, with higher BMI contributing to steeper decline in cognitive abilities in both midlife and late-life, and higher cognitive abilities contributing to less decline in BMI in late-life. The effects of BMI on change in cognitive abilities were more evident in men compared to women, and among those in the lowest tertile of the PGSBMI compared to those in the highest tertile, while the effects of cognition on BMI were similar across groups. In conclusion, these findings highlight a reciprocal relationship between BMI and cognitive abilities, indicating that the negative effects of a higher BMI persist from midlife through late-life, and that weight-loss in late-life may be driven by cognitive decline.
Collapse
Affiliation(s)
- Ida K Karlsson
- Institute of Gerontology and Aging Research Network-Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Jönköping, Sweden.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Margaret Gatz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Thalida Em Arpawong
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Anna K Dahl Aslan
- Institute of Gerontology and Aging Research Network-Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Jönköping, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Health Sciences, School of Health Sciences, University of Skövde, Skövde, Sweden
| | | |
Collapse
|
16
|
Du Z, Li J, Huang J, Ma J, Xu X, Zou R, Xu X. Executive Functions in Predicting Weight Loss and Obesity Indicators: A Meta-Analysis. Front Psychol 2021; 11:604113. [PMID: 33584440 PMCID: PMC7876286 DOI: 10.3389/fpsyg.2020.604113] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 12/21/2020] [Indexed: 11/24/2022] Open
Abstract
While previous studies have suggested that there exists a relationship between obesity and executive function (EF), the mechanisms and causal relationship between them remain unclear. There are important clinical implications of determining whether EF can predict and treat obesity. We conducted a multilevel meta-analysis of randomized controlled trials (RCTs) and longitudinal studies. Specifically, we investigate (a) whether EF interventions have an effect on weight loss, (b) whether baseline EF can be a predictor of future weight loss through obesity intervention, and (c) whether early-life EF can predict future weight loss. Eight RCTs and 17 longitudinal studies with a total of 11,393 participants were identified. We found that (a) EF interventions may not have an effect on weight loss, (b) baseline inhibition (β = 0.259, p = 0.03) and delay discounting (β = −0.17, p = 0.04) significantly predict future weight loss through obesity intervention, (c) age (F = 13.666, p = 0.005) moderates the relationship between working memory and weight loss through intervention, but not weight status, type of intervention, and percentage of female, and (d) early life inhibition (β = 0.185, p = 0.07) is a marginally significant predictor of future weight loss. Our results seem to support the assumption that the relationship between EF and obesity is not direct, and a higher-order factor, such as genes, may link obesity and EF. Building on the preliminary findings, further studies focusing on EF and obesity are needed in the future.
Collapse
Affiliation(s)
- Zhongquan Du
- Graduate School, Wuhan Sports University, Wuhan, China
| | - Jingjing Li
- Graduate School, Wuhan Sports University, Wuhan, China
| | - Jiaai Huang
- Graduate School, Wuhan Sports University, Wuhan, China
| | - Jing Ma
- Graduate School, Wuhan Sports University, Wuhan, China
| | - Xiaoyu Xu
- Graduate School, Wuhan Sports University, Wuhan, China
| | - Rong Zou
- College of Health Science, Wuhan Sport University, Wuhan, China
| | - Xia Xu
- College of Health Science, Wuhan Sport University, Wuhan, China.,Hubei Key Laboratory of Sport Training and Monitoring, Wuhan Sports University, Wuhan, China
| |
Collapse
|
17
|
Socrates A, Maxwell J, Glanville KP, Di Forti M, Murray RM, Vassos E, O'Reilly PF. Investigating the effects of genetic risk of schizophrenia on behavioural traits. NPJ SCHIZOPHRENIA 2021; 7:2. [PMID: 33483511 PMCID: PMC7822841 DOI: 10.1038/s41537-020-00131-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 10/23/2020] [Indexed: 12/31/2022]
Abstract
To characterise the trait-effects of increased genetic risk for schizophrenia, and highlight potential risk mediators, we test the association between schizophrenia polygenic risk scores (PRSs) and 529 behavioural traits (personality, psychological, lifestyle, nutritional) in the UK Biobank. Our primary analysis is performed on individuals aged 38–71 with no history of schizophrenia or related disorders, allowing us to report the effects of schizophrenia genetic risk in the sub-clinical general population. Higher schizophrenia PRSs were associated with a range of traits, including lower verbal-numerical reasoning (P = 6 × 10–61), higher nervous feelings (P = 1 × 10−46) and higher self-reported risk-taking (P = 3 × 10−38). We follow-up the risk-taking association, hypothesising that the association may be due to a genetic propensity for risk-taking leading to greater migration, urbanicity or drug-taking — reported environmental risk factors for schizophrenia, and all positively associated with risk-taking in these data. Next, to identify potential disorder or medication effects, we compare the PRS–trait associations in the general population to the trait values in 599 medicated and non-medicated individuals diagnosed with schizophrenia in the biobank. This analysis highlights, for example, levels of BMI, physical activity and risk-taking in cases in the opposite directions than expected from the PRS–trait associations in the general population. Our analyses offer simple yet potentially revealing insights into the possible causes of observed trait–disorder associations, which can complement approaches such as Mendelian Randomisation. While we urge caution in causal interpretations in PRS cross-trait studies that are highly powered to detect weak horizontal pleiotropy or population structure, we propose that well-designed polygenic score analyses have the potential to highlight modifiable risk factors that lie on the path between genetic risk and disorder.
Collapse
Affiliation(s)
- Adam Socrates
- SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Jessye Maxwell
- SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kylie P Glanville
- SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Marta Di Forti
- SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Robin M Murray
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Evangelos Vassos
- SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Paul F O'Reilly
- SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. .,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
| |
Collapse
|
18
|
Han K, Jia W, Wang S, Cao W, Song Y, Wang J, Liu M, Yang S, He Y. Synergistic Impact of Body Mass Index and Cognitive Function on All-Cause Mortality in Older Adults: A Nationwide Longitudinal Study. Front Endocrinol (Lausanne) 2021; 12:620261. [PMID: 34267724 PMCID: PMC8276260 DOI: 10.3389/fendo.2021.620261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 04/07/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Body mass index (BMI) and cognitive function are independent predictors of mortality risk. However, little is known about the combined impact of BMI and cognitive function on the risk of all-cause mortality in older adults. In this study, we aimed to examine the associations between BMI, cognitive function, and all-cause mortality, including between-factor interactions, in the general population of older adults in China. METHODS We used the data between 2011 and 2018 from the Chinese Longitudinal Healthy Longevity Survey that included adults aged ≥65 years residing in the 23 provinces of China. The association between BMI and cognitive function on all-cause mortality was examined with the Cox proportional hazards regression model. RESULTS The study included 8,293 Chinese older adults. Low BMI (underweight) and cognitive impairment were associated with the highest risk of death after adjustments [hazard ratio (HR) = 2.18; 95% confidence interval (CI), 1.96-2.41]; this combined effect was more prominent among adults aged <100 years and women. In addition, there was an interaction effect of BMI and cognitive impairment on all-cause mortality (P <0.001). Concurrently, among older adults with normal cognition, the risk of mortality related to underweight was higher than among their cognitively impaired counterparts [55% (normal cognition) vs. 38% (cognitive impairment)]. CONCLUSIONS Low BMI (underweight) and cognitive impairment were independently and jointly associated with increased risk of all-cause mortality among Chinese older adults, and females showed a stronger effect in this association. The association between BMI and mortality was more pronounced in the participants with normal cognition than in their cognitively impaired counterparts.
Collapse
Affiliation(s)
- Ke Han
- Medical School of Chinese PLA, Beijing, China
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, State Key Laboratory of Kidney Disease, The 2nd Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Wangping Jia
- Medical School of Chinese PLA, Beijing, China
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, State Key Laboratory of Kidney Disease, The 2nd Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Shengshu Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, State Key Laboratory of Kidney Disease, The 2nd Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Wenzhe Cao
- Medical School of Chinese PLA, Beijing, China
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, State Key Laboratory of Kidney Disease, The 2nd Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yang Song
- Medical School of Chinese PLA, Beijing, China
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, State Key Laboratory of Kidney Disease, The 2nd Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jianwei Wang
- Medical School of Chinese PLA, Beijing, China
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, State Key Laboratory of Kidney Disease, The 2nd Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Miao Liu
- Department of Statistics and Epidemiology, Medical School of Chinese PLA, Beijing, China
| | - Shanshan Yang
- Department of Disease Prevention and Control, The 1st Medical Center, Chinese PLA General Hospital, Beijing, China
- *Correspondence: Yao He, ; Shanshan Yang,
| | - Yao He
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, State Key Laboratory of Kidney Disease, The 2nd Medical Center of Chinese PLA General Hospital, Beijing, China
- *Correspondence: Yao He, ; Shanshan Yang,
| |
Collapse
|
19
|
Zonneveld MH, Noordam R, van der Grond J, van Heemst D, Mooijaart SP, Sabayan B, Jukema JW, Trompet S. Interplay of circulating leptin and obesity in cognition and cerebral volumes in older adults. Peptides 2021; 135:170424. [PMID: 33058961 DOI: 10.1016/j.peptides.2020.170424] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 09/16/2020] [Accepted: 10/08/2020] [Indexed: 10/23/2022]
Abstract
We aimed to investigate whether circulating leptin and body mass index (BMI) associate independently with cognitive function (decline) and brain volumes using magnetic resonance imaging (MRI) in older individuals at risk of cardiovascular disease. We studied the cross-sectional and longitudinal associations in participants enrolled in the PROSPER study (Prospective Study of Pravastatin in the Elderly at Risk). Cognitive function was tested at baseline and repeated during a mean follow-up time of 3.2 years. Analyses were performed with multivariable (repeated) linear regression models and adjusted for demographics, cardiovascular risk-factors, and stratified by sex. We included 5623 dementia-free participants (52 % female, mean age 75 years) with a mean BMI of 26.9 (SD = 4.1). In a sub-study, 527 participants underwent brain MRI. At baseline, individuals with a BMI > 30 had a worse performance on the Stroop test (β 5.0 s, 95 %CI 2.6;7.5) and larger volumes of the amygdala (β 234 mm3, 95 %CI 3;464) and hippocampus (β 590 mm3, 95 %CI 181;999), independent of intracranial volume and serum leptin levels, compared with individuals with the reference BMI (BMI 18-25 kg/m2). Per log ng/mL higher serum leptin, independent of BMI, a 135 mm3 (95 %CI 2;268) higher volume of the amygdala was found, but no association was observed with cognitive tests nor with other brain volumes. Stratification for sex did not materially change the results. Whereas higher BMI associated with worse cognitive function independent of leptin levels, our study provided evidence that leptin and BMI independently associate with amygdala volume suggesting potential distinct biological associations.
Collapse
Affiliation(s)
- M H Zonneveld
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - R Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - J van der Grond
- Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - D van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - S P Mooijaart
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| | - B Sabayan
- Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, United States.
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands; Netherlands Heart Institute, 3511 EP Utrecht, the Netherlands.
| | - S Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
| |
Collapse
|
20
|
Timshel PN, Thompson JJ, Pers TH. Genetic mapping of etiologic brain cell types for obesity. eLife 2020; 9:55851. [PMID: 32955435 PMCID: PMC7505664 DOI: 10.7554/elife.55851] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 09/04/2020] [Indexed: 12/11/2022] Open
Abstract
The underlying cell types mediating predisposition to obesity remain largely obscure. Here, we integrated recently published single-cell RNA-sequencing (scRNA-seq) data from 727 peripheral and nervous system cell types spanning 17 mouse organs with body mass index (BMI) genome-wide association study (GWAS) data from >457,000 individuals. Developing a novel strategy for integrating scRNA-seq data with GWAS data, we identified 26, exclusively neuronal, cell types from the hypothalamus, subthalamus, midbrain, hippocampus, thalamus, cortex, pons, medulla, pallidum that were significantly enriched for BMI heritability (p<1.6×10−4). Using genes harboring coding mutations associated with obesity, we replicated midbrain cell types from the anterior pretectal nucleus and periaqueductal gray (p<1.2×10−4). Together, our results suggest that brain nuclei regulating integration of sensory stimuli, learning and memory are likely to play a key role in obesity and provide testable hypotheses for mechanistic follow-up studies.
Collapse
Affiliation(s)
- Pascal N Timshel
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Jonatan J Thompson
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Tune H Pers
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
21
|
Xian H, Boutwell B, Reynolds CA, Lew D, Logue M, Gustavson DE, Kavish N, Panizzon MS, Tu X, Toomey R, Puckett OK, Elman JA, Jacobson KC, Lyons MJ, Kremen WS, Franz CE. Genetic Underpinnings of Increased BMI and Its Association With Late Midlife Cognitive Abilities. Gerontol Geriatr Med 2020; 6:2333721420925267. [PMID: 32537479 PMCID: PMC7268925 DOI: 10.1177/2333721420925267] [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: 04/09/2020] [Revised: 01/23/2020] [Accepted: 04/14/2020] [Indexed: 12/04/2022] Open
Abstract
Objectives: First, we test for differences in various cognitive
abilities across trajectories of body mass index (BMI) over the later life
course. Second, we examine whether genetic risk factors for unhealthy
BMIs—assessed via polygenic risk scores (PRS)—predict cognitive abilities in
late-life. Methods: The study used a longitudinal sample of Vietnam
veteran males to explore the associations between BMI trajectories, measured
across four time points, and later cognitive abilities. The sample of 977
individuals was drawn from the Vietnam Era Twin Study of Aging. Cognitive
abilities evaluated included executive function, abstract reasoning, episodic
memory, processing speed, verbal fluency, and visual spatial ability. Multilevel
linear regression models were used to estimate the associations between BMI
trajectories and cognitive abilities. Then, BMI PRS was added to the models to
evaluate polygenic associations with cognitive abilities. Results:
There were no significant differences in cognitive ability between any of the
BMI trajectory groups. There was a significant inverse relationship between
BMI-PRS and several cognitive ability measures. Discussion: While
no associations emerged for BMI trajectories and cognitive abilities at the
phenotypic levels, BMI PRS measures did correlate with key cognitive domains.
Our results suggest possible polygenic linkages cutting across key components of
the central and peripheral nervous system.
Collapse
Affiliation(s)
| | | | | | | | - Mark Logue
- VA Boston Healthcare System, MA, USA.,Boston University School of Medicine, MA, USA
| | | | | | | | - Xin Tu
- University of California San Diego, La Jolla, CA, USA
| | | | | | | | | | | | - William S Kremen
- University of California San Diego, La Jolla, CA, USA.,VA San Diego Healthcare System, La Jolla, CA, USA
| | - Carol E Franz
- University of California San Diego, La Jolla, CA, USA
| |
Collapse
|
22
|
Mollon J, Curran JE, Mathias SR, Knowles EEM, Carlisle P, Fox PT, Olvera RL, Göring HHH, Rodrigue A, Almasy L, Duggirala R, Blangero J, Glahn DC. Neurocognitive impairment in type 2 diabetes: evidence for shared genetic aetiology. Diabetologia 2020; 63:977-986. [PMID: 32016567 PMCID: PMC7150650 DOI: 10.1007/s00125-020-05101-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 01/15/2020] [Indexed: 01/02/2023]
Abstract
AIMS/HYPOTHESIS Type 2 diabetes is associated with cognitive impairments, but it is unclear whether common genetic factors influence both type 2 diabetes risk and cognition. METHODS Using data from 1892 Mexican-American individuals from extended pedigrees, including 402 with type 2 diabetes, we examined possible pleiotropy between type 2 diabetes and cognitive functioning, as measured by a comprehensive neuropsychological test battery. RESULTS Negative phenotypic correlations (ρp) were observed between type 2 diabetes and measures of attention (Continuous Performance Test [CPT d']: ρp = -0.143, p = 0.001), verbal memory (California Verbal Learning Test [CVLT] recall: ρp = -0.111, p = 0.004) and face memory (Penn Face Memory Test [PFMT]: ρp = -0.127, p = 0.002; PFMT Delayed: ρp = -0.148, p = 2 × 10-4), replicating findings of cognitive impairment in type 2 diabetes. Negative genetic correlations (ρg) were also observed between type 2 diabetes and measures of attention (CPT d': ρg = -0.401, p = 0.001), working memory (digit span backward test: ρg = -0.380, p = 0.005), and face memory (PFMT: ρg = -0.476, p = 2 × 10-4; PFMT Delayed: ρg = -0.376, p = 0.005), suggesting that the same genetic factors underlying risk for type 2 diabetes also influence poor cognitive performance in these domains. Performance in these domains was also associated with type 2 diabetes risk using an endophenotype ranking value approach. Specifically, on measures of attention (CPT d': β = -0.219, p = 0.005), working memory (digit span backward: β = -0.326, p = 0.035), and face memory (PFMT: β = -0.171, p = 0.023; PFMT Delayed: β = -0.215, p = 0.005), individuals with type 2 diabetes showed the lowest performance, while unaffected/unrelated individuals showed the highest performance, and those related to an individual with type 2 diabetes performed at an intermediate level. CONCLUSIONS/INTERPRETATION These findings suggest that cognitive impairment may be a useful endophenotype of type 2 diabetes and, therefore, help to elucidate the pathophysiological underpinnings of this chronic disease. DATA AVAILABILITY The data analysed in this study is available in dbGaP: www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001215.v2.p2.
Collapse
Affiliation(s)
- Josephine Mollon
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA.
| | - Joanne E Curran
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Samuel R Mathias
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA
| | - Emma E M Knowles
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA
| | - Phoebe Carlisle
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Rene L Olvera
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Harald H H Göring
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Amanda Rodrigue
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA
| | - Laura Almasy
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi Duggirala
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - John Blangero
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
| |
Collapse
|
23
|
Stephan Y, Sutin AR, Luchetti M, Caille P, Terracciano A. An examination of potential mediators of the relationship between polygenic scores of BMI and waist circumference and phenotypic adiposity. Psychol Health 2020; 35:1151-1161. [PMID: 32275177 DOI: 10.1080/08870446.2020.1743839] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Objective: The present study examined whether physical activity, personality, cognition, education, and depressive symptoms mediate the association between polygenic scores (PGS) for body mass index (BMI) and waist circumference and the corresponding phenotypic adiposity measures.Design: Participants were 9,139 individuals aged 50 to 107 years (57% women; Mean Age: 68.17, SD: 10.06) from the Health and Retirement Study who were genotyped. Trained staff measured their height, weight, and waist circumference, and participants answered questions on physical activity, personality, education, cognitive function, and depressive symptoms.Main Outcome Measures: BMI and waist circumference.Results: A higher PGS for both BMI and waist circumference were related to higher phenotypic BMI and waist circumference, respectively, in part through their association with lower physical activity, conscientiousness, education, and higher depressive symptoms but not cognition. The mediators accounted for 6.6% of the association between PGS and BMI and 9.6% of the association between PGS and waist circumference.Conclusion: The present study provides new evidence on the multiple, distinct pathways through which genetic propensity to higher BMI and waist circumference may lead to higher adiposity in adulthood. Individuals with a higher genetic predisposition to obesity may gain more weight through less adaptive behavioral, personality and educational profiles.
Collapse
Affiliation(s)
| | - Angelina R Sutin
- College of Medicine, Florida State University, Tallahassee, FL, USA
| | - Martina Luchetti
- College of Medicine, Florida State University, Tallahassee, FL, USA
| | | | | |
Collapse
|
24
|
Zhou Y, Li Y, Meng Y, Wang J, Wu F, Ning Y, Li Y, Cassidy RM, Li Z, Zhang XY. Neuregulin 3 rs10748842 polymorphism contributes to the effect of body mass index on cognitive impairment in patients with schizophrenia. Transl Psychiatry 2020; 10:62. [PMID: 32066712 PMCID: PMC7026092 DOI: 10.1038/s41398-020-0746-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Revised: 12/07/2019] [Accepted: 12/19/2019] [Indexed: 12/18/2022] Open
Abstract
There is evidence that obesity or higher body mass index is correlated with cognitive impairment in schizophrenia. Recent studies have demonstrated that genetic risk factors, such as the NRG3, are correlated with both elevated BMI and reduced cognitive function. In present study, we aimed to determine whether possession of the NRG3 rs10748842 influences the correlation between elevated BMI and reduced cognitive ability in schizophrenia. To our knowledge, this has never been examined before. A total of 625 inpatients with schizophrenia and 400 controls were recruited. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was performed to assess cognitive function. We used multiple analysis of covariance (MANCOVA), analyses of covariance (ANCOVA), Pearson correlations, partial correlations, and multivariate regression analysis to test the influence of NRG3 rs10748842 on the aforementioned variables. All RBANS five sub-scores and total score were lower in patients than those in controls (all p < 0.001). Patients carrying NRG3 rs10748842 TC + CC heterozygous genotype had lower attention score compared to TT homozygous genotype (adjusted F = 4.77, p = 0.029). BMI was positively associated with language score in patients (β = 0.387, t = 2.59, p = 0.01). Interestingly, we further found positive association between BMI and language score in TT carriers (partial correlations: r = 0.13, adjusted p = 0.004; multivariate regression: β = 0.42, t = 2.66, p = 0.008), but not in CT + CC carrier (p > 0.05). Our study demonstrated that NRG3 rs10748842 was associated with cognitive impairments, especially attention performance in schizophrenia. Moreover, NRG3 rs10748842 altered the effect of BMI on cognitive impairments as measured by the RBANS language score in chronic patients with schizophrenia.
Collapse
Affiliation(s)
- Yongjie Zhou
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China
| | - Yuhuan Li
- Qingdao Mental Health Center, Qingdao, China
| | - Yujie Meng
- Qingdao Mental Health Center, Qingdao, China
| | - Jiesi Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Fengchun Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Yi Li
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China
| | - Ryan M Cassidy
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Zezhi Li
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Xiang Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
| |
Collapse
|
25
|
The association of the executive functions with overweight and obesity indicators in children and adolescents: A literature review. Neurosci Biobehav Rev 2019; 107:59-68. [DOI: 10.1016/j.neubiorev.2019.08.021] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 08/25/2019] [Accepted: 08/26/2019] [Indexed: 02/07/2023]
|
26
|
Zeng L, Ntalla I, Kessler T, Kastrati A, Erdmann J, Danesh J, Watkins H, Samani NJ, Deloukas P, Schunkert H. Genetically modulated educational attainment and coronary disease risk. Eur Heart J 2019; 40:2413-2420. [PMID: 31170283 PMCID: PMC6669407 DOI: 10.1093/eurheartj/ehz328] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 08/30/2017] [Accepted: 05/03/2019] [Indexed: 12/11/2022] Open
Abstract
AIMS Genetic disposition and lifestyle factors are understood as independent components underlying the risk of multiple diseases. In this study, we aim to investigate the interplay between genetics, educational attainment-an important denominator of lifestyle-and coronary artery disease (CAD) risk. METHODS AND RESULTS Based on the effect sizes of 74 genetic variants associated with educational attainment, we calculated a 'genetic education score' in 13 080 cases and 14 471 controls and observed an inverse correlation between the score and risk of CAD [P = 1.52 × 10-8; odds ratio (OR) 0.79, 95% confidence interval (CI) 0.73-0.85 for the higher compared with the lowest score quintile]. We replicated in 146 514 individuals from UK Biobank (P = 1.85 × 10-6) and also found strong associations between the 'genetic education score' with 'modifiable' risk factors including smoking (P = 5.36 × 10-23), body mass index (BMI) (P = 1.66 × 10-30), and hypertension (P = 3.86 × 10-8). Interestingly, these associations were only modestly attenuated by adjustment for years spent in school. In contrast, a model adjusting for BMI and smoking abolished the association signal between the 'genetic education score' and CAD risk suggesting an intermediary role of these two risk factors. Mendelian randomization analyses performed with summary statistics from large genome-wide meta-analyses and sensitivity analysis using 1271 variants affecting educational attainment (OR 0.68 for the higher compared with the lowest score quintile; 95% CI 0.63-0.74; P = 3.99 × 10-21) further strengthened these findings. CONCLUSION Genetic variants known to affect educational attainment may have implications for a health-conscious lifestyle later in life and subsequently affect the risk of CAD.
Collapse
Affiliation(s)
- Lingyao Zeng
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Lazarettstr. 36, Munich, Germany
| | - Ioanna Ntalla
- Department of Clinical Pharmacology, William Harvey Research Institute, Barts & The London Medical School, Queen Mary University of London, Charterhouse Square, London, UK
- Centre for Genomic Health, Queen Mary University of London, Charterhouse Square, London, UK
| | - Thorsten Kessler
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Lazarettstr. 36, Munich, Germany
- Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Adnan Kastrati
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Lazarettstr. 36, Munich, Germany
- Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Jeanette Erdmann
- Institute for Cardiogenetics and University Heart Center Luebeck, University of Lübeck, Maria–Goeppert–Straße 1, Lübeck, Germany
- DZHK (German Research Centre for Cardiovascular Research), Partner Site Hamburg/Lübeck/Kiel, Lübeck, Germany
| | | | - John Danesh
- Department of Public Health and Primary Care, MRC/BHF Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, UK
- Department of Public Health and Primary Care, NIHR Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Hugh Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Cardiovascular Biomedical Research Centre, Leicester, UK
| | - Panos Deloukas
- Department of Clinical Pharmacology, William Harvey Research Institute, Barts & The London Medical School, Queen Mary University of London, Charterhouse Square, London, UK
- Centre for Genomic Health, Queen Mary University of London, Charterhouse Square, London, UK
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Al-Malae'b St, Jeddah, Saudi Arabia
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, Lazarettstr. 36, Munich, Germany
- Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| |
Collapse
|
27
|
Franz CE, Xian H, Lew D, Hatton SN, Puckett O, Whitsel N, Beck A, Dale AM, Fang B, Fennema-Notestine C, Hauger RL, Jacobson KC, Lyons MJ, Reynolds CA, Kremen WS. Body mass trajectories and cortical thickness in middle-aged men: a 42-year longitudinal study starting in young adulthood. Neurobiol Aging 2019; 79:11-21. [PMID: 31026618 PMCID: PMC6591047 DOI: 10.1016/j.neurobiolaging.2019.03.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 03/01/2019] [Accepted: 03/05/2019] [Indexed: 01/30/2023]
Abstract
Evidence strongly suggests that being overweight or obese at midlife confers significantly higher risk for Alzheimer's disease and greater brain atrophy later in life. Few studies, however, examine associations between longitudinal changes in adiposity during early adulthood and later brain morphometry. Measures of body mass index (BMI) were collected in 373 men from the Vietnam Era Twin Study of Aging at average ages 20, 40, 56, and 62 years, yielding 2 BMI trajectories. We then examined associations between BMI phenotypes (trajectories, continuous BMI, obese/nonobese), cortical thickness, and white matter measures from structural magnetic resonance imaging at mean age 62 (time 4, range 56-66 years). Those on the obesity trajectory (N = 171) had a thinner cortex compared with the normal/lean trajectory (N = 202) in multiple frontal and temporal lobe bilateral regions of interest: superior, inferior, middle temporal gyri, temporal pole, fusiform gyrus, banks of the superior temporal sulcus, frontal pole, pars triangularis, caudal and rostral middle frontal gyri (all p < 0.05, false discovery rate corrected). Frontal lobe thinness tended to occur mainly in the right hemisphere. Results were similar for obese versus nonobese adults at age 62. There were no significant differences for white matter volume or abnormalities. Taken in the context of other research, these associations between brain structures and excess BMI at midlife suggest potential for increased risk for cognitive decline in later life.
Collapse
Affiliation(s)
- Carol E. Franz
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Hong Xian
- Department of Epidemiology & Biostatistics, St. Louis University, St. Louis, MO, USA
| | - Daphne Lew
- Department of Epidemiology & Biostatistics, St. Louis University, St. Louis, MO, USA
| | - Sean N. Hatton
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Olivia Puckett
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Nathan Whitsel
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Asad Beck
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Anders M. Dale
- Department of Radiology, University of California San Diego, La Jolla CA, USA
| | - Bin Fang
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA,Department of Radiology, University of California San Diego, La Jolla CA, USA
| | - Richard L. Hauger
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, USA
| | - Kristen C. Jacobson
- Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Chandra A. Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - William S. Kremen
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, USA
| |
Collapse
|
28
|
Wills AG, Hopfer C. Phenotypic and genetic relationship between BMI and cigarette smoking in a sample of UK adults. Addict Behav 2019; 89:98-103. [PMID: 30286397 DOI: 10.1016/j.addbeh.2018.09.025] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 08/01/2018] [Accepted: 09/24/2018] [Indexed: 12/29/2022]
Abstract
In addition to the health hazards posed individually by cigarette smoking and obesity, the combination of these conditions poses a particular impairment to health. Genetic factors have been shown to influence both traits and, to understand the connection between these conditions, we examined both the observed and genetic relationship between adiposity (an electrical impedance measure of body mass index (BMI)) and cigarettes smoked per day (CPD) in a large sample of current, former, and never smokers in the United Kingdom. In former smokers, BMI was positively associated with cigarettes formerly smoked; further, the genetic factors related to a greater number of cigarettes smoked were also responsible for a higher BMI. In current smokers, there was a positive association between BMI and number of cigarettes smoked, though this relationship did not appear to be influenced by similar genetic factors. We found a positive genetic relationship between smoking in current/former smokers and BMI in never smokers (who would be unmarred by the effects of nicotine). In addition to CPD, in current smokers, we looked at two variables, time from waking to first cigarette and difficulty not smoking for a day, that may align better with cigarette and food 'craving.' However, these smoking measures provided mixed findings with respect to their relationship with BMI. Overall, the positive relationships between the genetic factors that influence CPD in smokers and the genetic factors that influence BMI in former and never smokers point to common biological influences behind smoking and obesity.
Collapse
Affiliation(s)
- Amanda G Wills
- Division of Substance Dependence, Department of Psychiatry, University of Colorado, Anschutz Medical Campus, Mail Stop F570, Building 500, 13001 East 17th Place, Aurora, CO 80045, USA; Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO 80301, USA.
| | - Christian Hopfer
- Division of Substance Dependence, Department of Psychiatry, University of Colorado, Anschutz Medical Campus, Mail Stop F570, Building 500, 13001 East 17th Place, Aurora, CO 80045, USA; Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO 80301, USA
| |
Collapse
|
29
|
Hilbert A, Blume M, Petroff D, Neuhaus P, Smith E, Hay PJ, Hübner C. Group cognitive remediation therapy for adults with obesity prior to behavioural weight loss treatment: study protocol for a randomised controlled superiority study (CRT study). BMJ Open 2018; 8:e022616. [PMID: 30224391 PMCID: PMC6144388 DOI: 10.1136/bmjopen-2018-022616] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 06/01/2018] [Accepted: 06/29/2018] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Individuals with obesity show deficits in executive functioning which have been implicated in decreased weight loss outcome. Preliminary evidence suggests that cognitive remediation therapy (CRT) improves executive functioning and weight loss in obesity. However, confirmatory support, especially for pre-weight loss use, is lacking. The CRT study aims at determining the efficacy of CRT versus no treatment control in patients with obesity before entering behavioural weight loss (BWL) treatment. It is hypothesised that individuals who receive CRT will show better weight loss outcome, improved executive functioning, greater weight loss-related behavioural changes and higher attendance of BWL treatment, 6 and 12 months after cessation of CRT. METHODS AND ANALYSIS In a single-centre, assessor-blinded, randomised, two-armed parallel-group superiority trial, 260 adults with body mass index ≥35.0 kg/m2 are centrally randomised to 8-week group-based CRT versus no treatment, before entering BWL treatment. Primary outcome is the amount of weight loss (%) at 6-month follow-up, compared with pre-treatment, derived from measured body weight. Secondary outcomes include improvement in executive functioning post-treatment and in weight loss-related behaviour, mental and physical health, and attendance to BWL treatment at 6-month and 12-month follow-up. Maintenance of weight loss at 12-month follow-up will be determined. Mixed model analyses based on intent-to-treat will be used to compare the CRT and control groups with respect to differences in weight change between pre-treatment and 6-month follow-up. Similar models will be used for analysing 12-month follow-up data and secondary outcomes. Further analyses will include additional covariates to identify predictors of treatment outcome. ETHICS AND DISSEMINATION The study was approved by the Ethical Committee of the University of Leipzig (256-15-13072015, version 'Final 1.0 from 28 May 2015). The study results will be disseminated through peer-reviewed publications. TRIAL REGISTRATION NUMBER DRKS00009333; Pre-results.
Collapse
Affiliation(s)
- Anja Hilbert
- Integrated Research and Treatment Centre AdiposityDiseases, Department of Medical Psychology and Medical Sociology, Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Marie Blume
- Integrated Research and Treatment Centre AdiposityDiseases, Department of Medical Psychology and Medical Sociology, Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - David Petroff
- Integrated Research and Treatment Centre AdiposityDiseases, Department of Medical Psychology and Medical Sociology, Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
- Clinical Trial Centre Leipzig, University of Leipzig, Leipzig, Germany
| | - Petra Neuhaus
- Clinical Trial Centre Leipzig, University of Leipzig, Leipzig, Germany
| | - Evelyn Smith
- School of Social Sciences and Psychology, Western Sydney University, Sydney, New South Wales, Australia
- Translational Health Research Institute, Western Sydney University, Sydney, New South Wales, Australia
| | - Phillipa J Hay
- Translational Health Research Institute, Western Sydney University, Sydney, New South Wales, Australia
| | - Claudia Hübner
- Integrated Research and Treatment Centre AdiposityDiseases, Department of Medical Psychology and Medical Sociology, Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| |
Collapse
|
30
|
Abstract
Obesity is a widespread heritable health condition. Evidence from psychology, cognitive neuroscience, and genetics has proposed links between obesity and the brain. The current study tested whether the heritable variance in body mass index (BMI) is explained by brain and behavioral factors in a large brain imaging cohort that included multiple related individuals. We found that the heritable variance in BMI had genetic correlations 0.25–0.45 with cognitive tests, cortical thickness, and regional brain volume. In particular, BMI was associated with frontal lobe asymmetry and differences in temporal-parietal perceptual systems. Further, we found genetic overlap between certain brain and behavioral factors. In summary, the genetic vulnerability to BMI is expressed in the brain. This may inform intervention strategies. Recent molecular genetic studies have shown that the majority of genes associated with obesity are expressed in the central nervous system. Obesity has also been associated with neurobehavioral factors such as brain morphology, cognitive performance, and personality. Here, we tested whether these neurobehavioral factors were associated with the heritable variance in obesity measured by body mass index (BMI) in the Human Connectome Project (n = 895 siblings). Phenotypically, cortical thickness findings supported the “right brain hypothesis” for obesity. Namely, increased BMI is associated with decreased cortical thickness in right frontal lobe and increased thickness in the left frontal lobe, notably in lateral prefrontal cortex. In addition, lower thickness and volume in entorhinal-parahippocampal structures and increased thickness in parietal-occipital structures in participants with higher BMI supported the role of visuospatial function in obesity. Brain morphometry results were supported by cognitive tests, which outlined a negative association between BMI and visuospatial function, verbal episodic memory, impulsivity, and cognitive flexibility. Personality–BMI correlations were inconsistent. We then aggregated the effects for each neurobehavioral factor for a behavioral genetics analysis and estimated each factor’s genetic overlap with BMI. Cognitive test scores and brain morphometry had 0.25–0.45 genetic correlations with BMI, and the phenotypic correlations with BMI were 77–89% explained by genetic factors. Neurobehavioral factors also had some genetic overlap with each other. In summary, obesity as measured by BMI has considerable genetic overlap with brain and cognitive measures. This supports the theory that obesity is inherited via brain function and may inform intervention strategies.
Collapse
|
31
|
Masi S, Georgiopoulos G, Khan T, Johnson W, Wong A, Charakida M, Whincup P, Hughes AD, Richards M, Hardy R, Deanfield J. Patterns of adiposity, vascular phenotypes and cognitive function in the 1946 British Birth Cohort. BMC Med 2018; 16:75. [PMID: 29804545 PMCID: PMC5971427 DOI: 10.1186/s12916-018-1059-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Accepted: 04/23/2018] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The relationship between long-term exposure to whole body or central obesity and cognitive function, as well as its potential determinants, remain controversial. In this study, we assessed (1) the potential impact of 30 years exposure to different patterns of whole body and central adiposity on cognitive function at 60-64 years, (2) whether trajectories of central adiposity can provide additional information on later cognitive function compared to trajectories of whole body adiposity, and (3) the influence of vascular phenotypes on these associations. METHODS The study included 1249 participants from the prospective cohort MRC National Survey of Health and Development. Body mass index (BMI), waist circumference (WC), and vascular (carotid intima-media thickness, carotid-femoral pulse wave velocity) and cognitive function (memory, processing speed, reaction time) data, at 60-64 years, were used to assess the associations between different patterns of adult WC or BMI (from 36 years of age) and late midlife cognitive performance, as well as the proportion of this association explained by cardiovascular phenotypes. RESULTS Longer exposure to elevated WC was related to lower memory performance (p < 0.001 for both) and longer choice reaction time (p = 0.003). A faster gain of WC between 36 and 43 years of age was associated with the largest change in reaction time and memory test (P < 0.05 for all). Similar associations were observed when patterns of WC were substituted with patterns of BMI, but when WC and BMI were included in the same model, only patterns of WC remained significantly associated with cognitive function. Participants who dropped one BMI category and maintained a lower BMI had similar memory performance to those of normal weight during the whole follow-up. Conversely, those who dropped and subsequently regained one BMI category had a memory function similar to those with 30 years exposure to elevated BMI. Adjustment for vascular phenotypes, levels of cardiovascular risk factors, physical activity, education, childhood cognition and socioeconomic position did not affect these associations. CONCLUSIONS Longer exposure to elevated WC or BMI and faster WC or BMI gains between 36 and 43 years are related to lower cognitive function at 60-64 years. Patterns of WC in adulthood could provide additional information in predicting late midlife cognitive function than patterns of BMI. The acquisition of an adverse cardiovascular phenotype associated with adiposity is unlikely to account for these relationships.
Collapse
Affiliation(s)
- Stefano Masi
- National Centre for Cardiovascular Prevention and Outcomes, Institute of Cardiovascular Science, University College London, 1 St Martin le Grande, London, EC1A 4NP, UK. .,Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
| | - Georgios Georgiopoulos
- First Department of Cardiology
- , Hippokration Hospital, University of Athens, Athens, Greece
| | - Tauseef Khan
- National Centre for Cardiovascular Prevention and Outcomes, Institute of Cardiovascular Science, University College London, 1 St Martin le Grande, London, EC1A 4NP, UK
| | - William Johnson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Epidemiology and Health Care, UCL, London, UK
| | - Marietta Charakida
- National Centre for Cardiovascular Prevention and Outcomes, Institute of Cardiovascular Science, University College London, 1 St Martin le Grande, London, EC1A 4NP, UK
| | - Peter Whincup
- Division of Population Health Sciences and Education, St George's University of London, London, UK
| | - Alun D Hughes
- Cardiometabolic Phenotyping Group, Institute of Cardiovascular Science, UCL, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Epidemiology and Health Care, UCL, London, UK
| | - Rebecca Hardy
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Epidemiology and Health Care, UCL, London, UK
| | - John Deanfield
- National Centre for Cardiovascular Prevention and Outcomes, Institute of Cardiovascular Science, University College London, 1 St Martin le Grande, London, EC1A 4NP, UK
| |
Collapse
|
32
|
Abstract
Objective The present study tested the association between both mothers’ and offspring’s intelligence and offspring’s body mass index (BMI) in youth. Method Participants were members of the National Longitudinal Survey of Youth 1979 (NLSY-79) Children and Young Adults cohort (n = 11,512) and their biological mothers who were members of the NLSY-79 (n = 4932). Offspring’s IQ was measured with the Peabody Individual Achievement Test (PIAT). Mothers’ IQ was measured with the Armed Forces Qualification Test (AFQT). A series of regression analyses tested the association between IQ and offspring’s BMI by age group, while adjusting for pre-pregnancy BMI and family SES. The analyses were stratified by sex and ethnicity (non-Black and non-Hispanic, Black, and Hispanic). Results The following associations were observed in the fully adjusted analyses. For the non-Blacks and non-Hispanics, a SD increment in mothers’ IQ was negatively associated with daughters’ BMI across all age-groups, ranging from β = −0.12 (95% CI −0.22 to −0.02, p = 0.021) in late childhood, to β = −0.17 (95% C.I. −0.27 to −0.07, p = 0001), in early adolescence and a SD increment in boys’ IQ was positively associated with their BMI in early adolescence β = 0.09 (95% CI 0.01–0.18, p = 0.031). For Blacks, there was a non-linear relationship between mothers’ IQ and daughters’ BMI across childhood and between girls’ IQ and BMI across adolescence. There was a positive association between mothers’ IQ and sons’ BMI in early adolescence (β = 0.17, 95% CI 0.02–0.32, p = 0.030). For Hispanic boys, there was a positive IQ-BMI association in late childhood (β = 0.19, 95% CI 0.05–0.33, p = 0.008) and early adolescence (β = 0.17, 95% CI 0.04–0.31, p = 0.014). Conclusion Mothers’ IQ and offspring’s IQ were associated with offspring’s BMI. The relationships varied in direction and strength across ethnicity, age group and sex. Obesity interventions may benefit from acknowledging the heterogeneous influence that intelligence has on childhood BMI.
Collapse
Affiliation(s)
- Christina Wraw
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, SCT, EH8 9JZ, UK.
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, SCT, EH8 9JZ, UK
| | - Geoff Der
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, 200 Renfield Street, Glasgow, G2 3QB, UK
| | - Catharine R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, SCT, EH8 9JZ, UK.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD, UK
| |
Collapse
|
33
|
Preliminary evidence for genetic overlap between body mass index and striatal reward response. Transl Psychiatry 2018; 8:19. [PMID: 29317597 PMCID: PMC5802522 DOI: 10.1038/s41398-017-0068-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 09/21/2017] [Accepted: 10/26/2017] [Indexed: 02/07/2023] Open
Abstract
The reward-processing network is implicated in the aetiology of obesity. Several lines of evidence suggest obesity-linked genetic risk loci (such as DRD2 and FTO) may influence individual variation in body mass index (BMI) through neuropsychological processes reflected in alterations in activation of the striatum during reward processing. However, no study has tested the broader hypotheses that (a) the relationship between BMI and reward-related brain activation (measured through the blood oxygenation-dependent (BOLD) signal) may be observed in a large population study and (b) the overall genetic architecture of these phenotypes overlap, an assumption critical for the progression of imaging genetic studies in obesity research. Using data from the Human Connectome Project (N = 1055 healthy, young individuals: average BMI = 26.4), we first establish a phenotypic relationship between BMI and ventral striatal (VS) BOLD during the processing of rewarding (monetary) stimuli (β = 0.44, P = 0.013), accounting for potential confounds. BMI and VS BOLD were both significantly influenced by additive genetic factors (H2r = 0.57; 0.12, respectively). Further decomposition of this variance suggested that the relationship was driven by shared genetic (ρ g = 0.47, P = 0.011), but not environmental (ρ E = -0.07, P = 0.29) factors. To validate the assumption of genetic pleiotropy between BMI and VS BOLD, we further show that polygenic risk for higher BMI is also associated with increased VS BOLD response to appetitive stimuli (calorically high food images), in an independent sample (N = 81; P FWE-ROI < 0.005). Together, these observations suggest that the genetic factors link risk to obesity to alterations within key nodes of the brain's reward circuity. These observations provide a basis for future work exploring the mechanistic role of genetic loci that confer risk for obesity using the imaging genetics approach.
Collapse
|
34
|
Xu C, Tian X, Sun J, Wu Y, Zhang D, Pang Z, Li S, Petersen I, Mengel-From J, Christiansen L, Christensen K, Tan Q. Genetic and environmental influences on cardiovascular risk factors and cognitive function: A Chinese twin aging study. Geriatr Gerontol Int 2017; 18:352-359. [PMID: 28857473 DOI: 10.1111/ggi.13161] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 05/09/2017] [Accepted: 07/05/2017] [Indexed: 11/30/2022]
Abstract
AIM To explore the genetic and environmental influences on cardiovascular risk factors (CVRF) and cognitive function in the world's largest and rapidly aging Chinese population. METHODS Cognitive function and CVRF, including body mass index, systolic blood pressure, diastolic blood pressure, pulse pressure, glucose, total cholesterol, triglyceride, high-density lipoprotein cholesterol (HDLC) and low-density lipoprotein cholesterol were measured in 379 complete twin pairs. Univariate and bivariate twin models were fitted to estimate the genetic and environmental components in the variance and covariance of CVRF and cognition. RESULTS Mild-to-high heritability was estimated for CVRF and cognition (0.27-0.74). Unique environmental factors showed low-to-moderate contributions (0.23-0.56). Only HDLC presented significant common environmental contribution (0.50). Bivariate analysis showed significantly negative genetic correlations (rG ) between cognition and systolic blood pressure (rG = -0.56), diastolic blood pressure (rG = -0.42), pulse pressure (rG = -0.45), and positive genetic correlations between cognition and total cholesterol (rG = 0.33), triglyceride (rG = 0.23) and HDLC (rG = 0.41). HDLC and cognition presented a unique environmental correlation (rE = -0.13), but in the opposite direction. CONCLUSIONS Cognitive function was genetically related to systolic blood pressure, diastolic blood pressure, pulse pressure, total cholesterol, triglyceride and HDLC with a negative or positive direction. Cognition and HDLC might share part of a similar unique environmental factor. Geriatr Gerontol Int 2018; 18: 352-359.
Collapse
Affiliation(s)
- Chunsheng Xu
- Department of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, Shandong, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Xiaocao Tian
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Jianping Sun
- Department of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, Shandong, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Yili Wu
- Department of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, Shandong, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, Shandong, China
| | - Zengchang Pang
- Department of Epidemiology and Health Statistics, Qingdao University Medical College, Qingdao, Shandong, China.,Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Shuxia Li
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Inge Petersen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jonas Mengel-From
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Lene Christiansen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Qihua Tan
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| |
Collapse
|
35
|
Xian H, Vasilopoulos T, Liu W, Hauger RL, Jacobson KC, Lyons MJ, Panizzon M, Reynolds CA, Vuoksimaa E, Kremen WS, Franz CE. Steeper change in body mass across four decades predicts poorer cardiometabolic outcomes at midlife. Obesity (Silver Spring) 2017; 25:773-780. [PMID: 28349665 PMCID: PMC5373489 DOI: 10.1002/oby.21791] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 12/19/2016] [Accepted: 01/04/2017] [Indexed: 01/02/2023]
Abstract
OBJECTIVE This study examined patterns of change in adiposity across four decades starting in young adulthood as well as associations between change and midlife cardiometabolic outcomes. METHODS BMI was assessed at ages 20, 40, 56, and 62 years in 977 male veterans from the Vietnam Era Twin Study of Aging. Age 62 (range 56-66) cardiometabolic outcomes included hypertension, diabetes, dyslipidemia, inflammation, and ischemic heart disease. Analyses included latent growth modeling (LGM), latent class growth modeling (LCGM), and logistic regression models. RESULTS Linear BMI slope was associated with all outcomes. Accelerated (quadratic) BMI slope was significantly associated with greater risk for hypertension, diabetes, dyslipidemia, and inflammation; odds ratios ranged from 1.93 (diabetes) to 3.15 (dyslipidemia). Initial BMI did not predict later outcomes. Linear slope contributed significant unique variance for diabetes and dyslipidemia even controlling for age 62 BMI. LCGM revealed three trajectories. Men with the relatively stable, lower BMI trajectory had significantly better outcomes than those with trajectories with accelerated increases, especially those including obesity. CONCLUSIONS How individuals reach late-midlife BMI is important. Steepness of BMI change across 40 years from young adulthood to late midlife, in addition to late-midlife BMI itself, was robustly associated with greater risk for poor cardiometabolic outcomes.
Collapse
Affiliation(s)
- Hong Xian
- Department of Biostatistics, St. Louis University, St. Louis, Missouri, USA
| | - Terrie Vasilopoulos
- Department of Anesthesiology, University of Florida, Gainesville, Florida, USA
| | - Weijian Liu
- Department of Biostatistics, St. Louis University, St. Louis, Missouri, USA
| | - Richard L Hauger
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, California, USA
| | - Kristen C Jacobson
- Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Matthew Panizzon
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, California, USA
| | - Eero Vuoksimaa
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - William S Kremen
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, California, USA
| | - Carol E Franz
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| |
Collapse
|